diff --git "a/trainer_state.json" "b/trainer_state.json" --- "a/trainer_state.json" +++ "b/trainer_state.json" @@ -1,107 +1,25317 @@ { "best_metric": null, "best_model_checkpoint": null, - "epoch": 0.0024189646831156266, - "eval_steps": 5, - "global_step": 10, + "epoch": 3.483309143686502, + "eval_steps": 300, + "global_step": 3600, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, - "grad_norm": 1.734493374824524, + "grad_norm": 0.7870177626609802, "learning_rate": 5e-06, - "loss": 1.225, + "loss": 1.0447, "step": 1 }, { "epoch": 0.0, - "grad_norm": 1.428907036781311, + "grad_norm": 1.068322777748108, "learning_rate": 1e-05, - "loss": 1.1305, + "loss": 1.3068, "step": 2 }, { "epoch": 0.0, - "grad_norm": 2.0154995918273926, + "grad_norm": 0.9596112370491028, "learning_rate": 1.5e-05, - "loss": 1.3731, + "loss": 1.3547, "step": 3 }, { "epoch": 0.0, - "grad_norm": 1.02907395362854, + "grad_norm": 1.1203914880752563, "learning_rate": 2e-05, - "loss": 1.1959, + "loss": 1.4584, "step": 4 }, { "epoch": 0.0, - "grad_norm": 1.2798619270324707, + "grad_norm": 0.788541853427887, "learning_rate": 2.5e-05, - "loss": 1.0682, + "loss": 0.9619, "step": 5 }, { - "epoch": 0.0, - "eval_loss": 1.1890491247177124, - "eval_runtime": 856.4948, - "eval_samples_per_second": 4.827, - "eval_steps_per_second": 0.604, - "step": 5 - }, - { - "epoch": 0.0, - "grad_norm": 2.2008020877838135, - "learning_rate": 2.499749874937469e-05, - "loss": 1.4717, + "epoch": 0.01, + "grad_norm": 1.0822911262512207, + "learning_rate": 2.499582985821518e-05, + "loss": 1.2423, "step": 6 }, { - "epoch": 0.0, - "grad_norm": 1.7098679542541504, - "learning_rate": 2.4994997498749376e-05, - "loss": 1.449, + "epoch": 0.01, + "grad_norm": 1.1709873676300049, + "learning_rate": 2.499165971643036e-05, + "loss": 1.2275, "step": 7 }, { - "epoch": 0.0, - "grad_norm": 2.7045724391937256, - "learning_rate": 2.4992496248124066e-05, - "loss": 1.4666, + "epoch": 0.01, + "grad_norm": 1.1643866300582886, + "learning_rate": 2.498748957464554e-05, + "loss": 1.2345, "step": 8 }, { - "epoch": 0.0, - "grad_norm": 2.0331788063049316, - "learning_rate": 2.498999499749875e-05, - "loss": 1.1984, + "epoch": 0.01, + "grad_norm": 1.000319242477417, + "learning_rate": 2.4983319432860718e-05, + "loss": 1.1033, "step": 9 }, { - "epoch": 0.0, - "grad_norm": 1.4130972623825073, - "learning_rate": 2.4987493746873438e-05, - "loss": 1.3984, + "epoch": 0.01, + "grad_norm": 0.7840856909751892, + "learning_rate": 2.49791492910759e-05, + "loss": 1.1479, "step": 10 }, { - "epoch": 0.0, - "eval_loss": 1.0704079866409302, - "eval_runtime": 861.738, - "eval_samples_per_second": 4.797, - "eval_steps_per_second": 0.6, - "step": 10 + "epoch": 0.01, + "grad_norm": 0.8919686079025269, + "learning_rate": 2.4974979149291078e-05, + "loss": 1.0619, + "step": 11 + }, + { + "epoch": 0.01, + "grad_norm": 0.8347444534301758, + "learning_rate": 2.4970809007506256e-05, + "loss": 1.0398, + "step": 12 + }, + { + "epoch": 0.01, + "grad_norm": 1.165204644203186, + "learning_rate": 2.4966638865721438e-05, + "loss": 1.1108, + "step": 13 + }, + { + "epoch": 0.01, + "grad_norm": 0.6983811259269714, + "learning_rate": 2.4962468723936616e-05, + "loss": 1.0833, + "step": 14 + }, + { + "epoch": 0.01, + "grad_norm": 0.6188010573387146, + "learning_rate": 2.4958298582151795e-05, + "loss": 1.0135, + "step": 15 + }, + { + "epoch": 0.02, + "grad_norm": 0.7857308387756348, + "learning_rate": 2.4954128440366977e-05, + "loss": 1.0934, + "step": 16 + }, + { + "epoch": 0.02, + "grad_norm": 0.4914061725139618, + "learning_rate": 2.494995829858215e-05, + "loss": 0.9423, + "step": 17 + }, + { + "epoch": 0.02, + "grad_norm": 0.720172643661499, + "learning_rate": 2.494578815679733e-05, + "loss": 1.0542, + "step": 18 + }, + { + "epoch": 0.02, + "grad_norm": 0.6075658798217773, + "learning_rate": 2.494161801501251e-05, + "loss": 0.8385, + "step": 19 + }, + { + "epoch": 0.02, + "grad_norm": 0.732603907585144, + "learning_rate": 2.493744787322769e-05, + "loss": 1.045, + "step": 20 + }, + { + "epoch": 0.02, + "grad_norm": 0.5970225930213928, + "learning_rate": 2.4933277731442868e-05, + "loss": 1.0027, + "step": 21 + }, + { + "epoch": 0.02, + "grad_norm": 0.5020540356636047, + "learning_rate": 2.492910758965805e-05, + "loss": 1.106, + "step": 22 + }, + { + "epoch": 0.02, + "grad_norm": 0.4382450580596924, + "learning_rate": 2.4924937447873228e-05, + "loss": 0.9558, + "step": 23 + }, + { + "epoch": 0.02, + "grad_norm": 0.42475980520248413, + "learning_rate": 2.4920767306088407e-05, + "loss": 0.9516, + "step": 24 + }, + { + "epoch": 0.02, + "grad_norm": 0.542449951171875, + "learning_rate": 2.491659716430359e-05, + "loss": 0.975, + "step": 25 + }, + { + "epoch": 0.03, + "grad_norm": 0.5104752779006958, + "learning_rate": 2.4912427022518767e-05, + "loss": 1.0974, + "step": 26 + }, + { + "epoch": 0.03, + "grad_norm": 0.5067538022994995, + "learning_rate": 2.4908256880733945e-05, + "loss": 0.9463, + "step": 27 + }, + { + "epoch": 0.03, + "grad_norm": 0.42857852578163147, + "learning_rate": 2.4904086738949127e-05, + "loss": 0.9526, + "step": 28 + }, + { + "epoch": 0.03, + "grad_norm": 0.6044005751609802, + "learning_rate": 2.4899916597164305e-05, + "loss": 0.9973, + "step": 29 + }, + { + "epoch": 0.03, + "grad_norm": 0.4438995122909546, + "learning_rate": 2.4895746455379483e-05, + "loss": 0.8235, + "step": 30 + }, + { + "epoch": 0.03, + "grad_norm": 0.40209439396858215, + "learning_rate": 2.4891576313594665e-05, + "loss": 0.9889, + "step": 31 + }, + { + "epoch": 0.03, + "grad_norm": 0.5471000671386719, + "learning_rate": 2.4887406171809844e-05, + "loss": 0.8609, + "step": 32 + }, + { + "epoch": 0.03, + "grad_norm": 0.5174150466918945, + "learning_rate": 2.4883236030025022e-05, + "loss": 0.9604, + "step": 33 + }, + { + "epoch": 0.03, + "grad_norm": 0.4932122230529785, + "learning_rate": 2.4879065888240204e-05, + "loss": 0.9225, + "step": 34 + }, + { + "epoch": 0.03, + "grad_norm": 0.7480321526527405, + "learning_rate": 2.4874895746455382e-05, + "loss": 0.9618, + "step": 35 + }, + { + "epoch": 0.03, + "grad_norm": 0.4484063684940338, + "learning_rate": 2.487072560467056e-05, + "loss": 1.0641, + "step": 36 + }, + { + "epoch": 0.04, + "grad_norm": 0.4519139528274536, + "learning_rate": 2.4866555462885742e-05, + "loss": 1.048, + "step": 37 + }, + { + "epoch": 0.04, + "grad_norm": 0.4239266514778137, + "learning_rate": 2.486238532110092e-05, + "loss": 0.9129, + "step": 38 + }, + { + "epoch": 0.04, + "grad_norm": 0.47971388697624207, + "learning_rate": 2.4858215179316095e-05, + "loss": 0.8713, + "step": 39 + }, + { + "epoch": 0.04, + "grad_norm": 0.4694456458091736, + "learning_rate": 2.4854045037531277e-05, + "loss": 0.8231, + "step": 40 + }, + { + "epoch": 0.04, + "grad_norm": 0.5824680328369141, + "learning_rate": 2.4849874895746455e-05, + "loss": 1.0811, + "step": 41 + }, + { + "epoch": 0.04, + "grad_norm": 0.379506915807724, + "learning_rate": 2.4845704753961634e-05, + "loss": 0.8701, + "step": 42 + }, + { + "epoch": 0.04, + "grad_norm": 0.4871397018432617, + "learning_rate": 2.4841534612176815e-05, + "loss": 1.0129, + "step": 43 + }, + { + "epoch": 0.04, + "grad_norm": 0.41420432925224304, + "learning_rate": 2.4837364470391994e-05, + "loss": 1.0503, + "step": 44 + }, + { + "epoch": 0.04, + "grad_norm": 0.5489960312843323, + "learning_rate": 2.4833194328607172e-05, + "loss": 1.0079, + "step": 45 + }, + { + "epoch": 0.04, + "grad_norm": 0.35260915756225586, + "learning_rate": 2.4829024186822354e-05, + "loss": 0.7549, + "step": 46 + }, + { + "epoch": 0.05, + "grad_norm": 0.38278457522392273, + "learning_rate": 2.4824854045037532e-05, + "loss": 0.7749, + "step": 47 + }, + { + "epoch": 0.05, + "grad_norm": 0.4383249282836914, + "learning_rate": 2.482068390325271e-05, + "loss": 0.895, + "step": 48 + }, + { + "epoch": 0.05, + "grad_norm": 0.3747379779815674, + "learning_rate": 2.4816513761467892e-05, + "loss": 0.8838, + "step": 49 + }, + { + "epoch": 0.05, + "grad_norm": 0.456415593624115, + "learning_rate": 2.481234361968307e-05, + "loss": 0.8792, + "step": 50 + }, + { + "epoch": 0.05, + "grad_norm": 0.5036747455596924, + "learning_rate": 2.480817347789825e-05, + "loss": 0.9945, + "step": 51 + }, + { + "epoch": 0.05, + "grad_norm": 0.47083520889282227, + "learning_rate": 2.480400333611343e-05, + "loss": 1.0053, + "step": 52 + }, + { + "epoch": 0.05, + "grad_norm": 0.5429786443710327, + "learning_rate": 2.479983319432861e-05, + "loss": 0.7977, + "step": 53 + }, + { + "epoch": 0.05, + "grad_norm": 0.3801434636116028, + "learning_rate": 2.4795663052543787e-05, + "loss": 0.9328, + "step": 54 + }, + { + "epoch": 0.05, + "grad_norm": 0.6519143581390381, + "learning_rate": 2.479149291075897e-05, + "loss": 0.9992, + "step": 55 + }, + { + "epoch": 0.05, + "grad_norm": 0.5439381003379822, + "learning_rate": 2.4787322768974147e-05, + "loss": 1.0317, + "step": 56 + }, + { + "epoch": 0.06, + "grad_norm": 0.4131976366043091, + "learning_rate": 2.4783152627189326e-05, + "loss": 0.9715, + "step": 57 + }, + { + "epoch": 0.06, + "grad_norm": 0.4891928732395172, + "learning_rate": 2.4778982485404508e-05, + "loss": 0.9096, + "step": 58 + }, + { + "epoch": 0.06, + "grad_norm": 0.5411381125450134, + "learning_rate": 2.4774812343619686e-05, + "loss": 0.9717, + "step": 59 + }, + { + "epoch": 0.06, + "grad_norm": 0.5395158529281616, + "learning_rate": 2.4770642201834864e-05, + "loss": 0.9327, + "step": 60 + }, + { + "epoch": 0.06, + "grad_norm": 0.3985745310783386, + "learning_rate": 2.4766472060050043e-05, + "loss": 0.8348, + "step": 61 + }, + { + "epoch": 0.06, + "grad_norm": 0.5519440174102783, + "learning_rate": 2.476230191826522e-05, + "loss": 1.0798, + "step": 62 + }, + { + "epoch": 0.06, + "grad_norm": 0.5095112919807434, + "learning_rate": 2.47581317764804e-05, + "loss": 0.9342, + "step": 63 + }, + { + "epoch": 0.06, + "grad_norm": 0.44294893741607666, + "learning_rate": 2.475396163469558e-05, + "loss": 1.024, + "step": 64 + }, + { + "epoch": 0.06, + "grad_norm": 0.46490082144737244, + "learning_rate": 2.474979149291076e-05, + "loss": 1.019, + "step": 65 + }, + { + "epoch": 0.06, + "grad_norm": 0.36511531472206116, + "learning_rate": 2.4745621351125938e-05, + "loss": 0.9414, + "step": 66 + }, + { + "epoch": 0.06, + "grad_norm": 0.5183777809143066, + "learning_rate": 2.474145120934112e-05, + "loss": 1.0411, + "step": 67 + }, + { + "epoch": 0.07, + "grad_norm": 0.5551761388778687, + "learning_rate": 2.4737281067556298e-05, + "loss": 0.866, + "step": 68 + }, + { + "epoch": 0.07, + "grad_norm": 0.39541560411453247, + "learning_rate": 2.4733110925771476e-05, + "loss": 0.7934, + "step": 69 + }, + { + "epoch": 0.07, + "grad_norm": 0.3846251666545868, + "learning_rate": 2.4728940783986658e-05, + "loss": 0.8006, + "step": 70 + }, + { + "epoch": 0.07, + "grad_norm": 0.4842681586742401, + "learning_rate": 2.4724770642201836e-05, + "loss": 0.9258, + "step": 71 + }, + { + "epoch": 0.07, + "grad_norm": 0.51060551404953, + "learning_rate": 2.4720600500417014e-05, + "loss": 1.0519, + "step": 72 + }, + { + "epoch": 0.07, + "grad_norm": 0.48748454451560974, + "learning_rate": 2.4716430358632196e-05, + "loss": 1.0614, + "step": 73 + }, + { + "epoch": 0.07, + "grad_norm": 0.4402349591255188, + "learning_rate": 2.4712260216847375e-05, + "loss": 0.8216, + "step": 74 + }, + { + "epoch": 0.07, + "grad_norm": 0.45167890191078186, + "learning_rate": 2.4708090075062553e-05, + "loss": 0.9344, + "step": 75 + }, + { + "epoch": 0.07, + "grad_norm": 0.5564152598381042, + "learning_rate": 2.4703919933277735e-05, + "loss": 0.9939, + "step": 76 + }, + { + "epoch": 0.07, + "grad_norm": 0.450549453496933, + "learning_rate": 2.4699749791492913e-05, + "loss": 0.8248, + "step": 77 + }, + { + "epoch": 0.08, + "grad_norm": 0.5365514159202576, + "learning_rate": 2.469557964970809e-05, + "loss": 1.1056, + "step": 78 + }, + { + "epoch": 0.08, + "grad_norm": 0.7736596465110779, + "learning_rate": 2.4691409507923273e-05, + "loss": 0.9218, + "step": 79 + }, + { + "epoch": 0.08, + "grad_norm": 0.45529669523239136, + "learning_rate": 2.468723936613845e-05, + "loss": 0.7809, + "step": 80 + }, + { + "epoch": 0.08, + "grad_norm": 0.5698494911193848, + "learning_rate": 2.468306922435363e-05, + "loss": 1.0675, + "step": 81 + }, + { + "epoch": 0.08, + "grad_norm": 0.44999369978904724, + "learning_rate": 2.467889908256881e-05, + "loss": 0.7951, + "step": 82 + }, + { + "epoch": 0.08, + "grad_norm": 0.4205290675163269, + "learning_rate": 2.4674728940783986e-05, + "loss": 0.7136, + "step": 83 + }, + { + "epoch": 0.08, + "grad_norm": 0.456649512052536, + "learning_rate": 2.4670558798999165e-05, + "loss": 0.9312, + "step": 84 + }, + { + "epoch": 0.08, + "grad_norm": 0.5103227496147156, + "learning_rate": 2.4666388657214346e-05, + "loss": 0.8435, + "step": 85 + }, + { + "epoch": 0.08, + "grad_norm": 0.42594611644744873, + "learning_rate": 2.4662218515429525e-05, + "loss": 0.9357, + "step": 86 + }, + { + "epoch": 0.08, + "grad_norm": 0.5250870585441589, + "learning_rate": 2.4658048373644703e-05, + "loss": 0.9508, + "step": 87 + }, + { + "epoch": 0.09, + "grad_norm": 0.466413289308548, + "learning_rate": 2.4653878231859885e-05, + "loss": 0.936, + "step": 88 + }, + { + "epoch": 0.09, + "grad_norm": 0.5434820055961609, + "learning_rate": 2.4649708090075063e-05, + "loss": 1.1542, + "step": 89 + }, + { + "epoch": 0.09, + "grad_norm": 0.49147090315818787, + "learning_rate": 2.464553794829024e-05, + "loss": 0.9111, + "step": 90 + }, + { + "epoch": 0.09, + "grad_norm": 0.5997132658958435, + "learning_rate": 2.4641367806505423e-05, + "loss": 0.9252, + "step": 91 + }, + { + "epoch": 0.09, + "grad_norm": 0.5011767148971558, + "learning_rate": 2.46371976647206e-05, + "loss": 0.8974, + "step": 92 + }, + { + "epoch": 0.09, + "grad_norm": 0.5412560701370239, + "learning_rate": 2.463302752293578e-05, + "loss": 0.9549, + "step": 93 + }, + { + "epoch": 0.09, + "grad_norm": 0.4402450621128082, + "learning_rate": 2.462885738115096e-05, + "loss": 0.8409, + "step": 94 + }, + { + "epoch": 0.09, + "grad_norm": 0.4923529624938965, + "learning_rate": 2.462468723936614e-05, + "loss": 0.8826, + "step": 95 + }, + { + "epoch": 0.09, + "grad_norm": 0.4684785008430481, + "learning_rate": 2.462051709758132e-05, + "loss": 0.9038, + "step": 96 + }, + { + "epoch": 0.09, + "grad_norm": 0.507546067237854, + "learning_rate": 2.46163469557965e-05, + "loss": 0.938, + "step": 97 + }, + { + "epoch": 0.09, + "grad_norm": 0.5111150145530701, + "learning_rate": 2.461217681401168e-05, + "loss": 0.9627, + "step": 98 + }, + { + "epoch": 0.1, + "grad_norm": 0.5941347479820251, + "learning_rate": 2.4608006672226857e-05, + "loss": 0.8797, + "step": 99 + }, + { + "epoch": 0.1, + "grad_norm": 0.5645309090614319, + "learning_rate": 2.460383653044204e-05, + "loss": 0.9442, + "step": 100 + }, + { + "epoch": 0.1, + "grad_norm": 0.40577173233032227, + "learning_rate": 2.4599666388657217e-05, + "loss": 0.9148, + "step": 101 + }, + { + "epoch": 0.1, + "grad_norm": 0.48528414964675903, + "learning_rate": 2.4595496246872395e-05, + "loss": 0.8915, + "step": 102 + }, + { + "epoch": 0.1, + "grad_norm": 0.43732860684394836, + "learning_rate": 2.4591326105087577e-05, + "loss": 0.8395, + "step": 103 + }, + { + "epoch": 0.1, + "grad_norm": 0.5678403377532959, + "learning_rate": 2.4587155963302755e-05, + "loss": 0.8011, + "step": 104 + }, + { + "epoch": 0.1, + "grad_norm": 0.6023350358009338, + "learning_rate": 2.458298582151793e-05, + "loss": 1.1542, + "step": 105 + }, + { + "epoch": 0.1, + "grad_norm": 0.5061455368995667, + "learning_rate": 2.4578815679733112e-05, + "loss": 0.9063, + "step": 106 + }, + { + "epoch": 0.1, + "grad_norm": 0.4692017734050751, + "learning_rate": 2.457464553794829e-05, + "loss": 1.165, + "step": 107 + }, + { + "epoch": 0.1, + "grad_norm": 0.49802443385124207, + "learning_rate": 2.457047539616347e-05, + "loss": 0.9671, + "step": 108 + }, + { + "epoch": 0.11, + "grad_norm": 0.5319726467132568, + "learning_rate": 2.456630525437865e-05, + "loss": 0.8252, + "step": 109 + }, + { + "epoch": 0.11, + "grad_norm": 0.517798125743866, + "learning_rate": 2.456213511259383e-05, + "loss": 0.806, + "step": 110 + }, + { + "epoch": 0.11, + "grad_norm": 0.4637662470340729, + "learning_rate": 2.4557964970809007e-05, + "loss": 0.847, + "step": 111 + }, + { + "epoch": 0.11, + "grad_norm": 0.5179436206817627, + "learning_rate": 2.455379482902419e-05, + "loss": 0.6912, + "step": 112 + }, + { + "epoch": 0.11, + "grad_norm": 0.6651769876480103, + "learning_rate": 2.4549624687239367e-05, + "loss": 1.0822, + "step": 113 + }, + { + "epoch": 0.11, + "grad_norm": 0.4699961543083191, + "learning_rate": 2.4545454545454545e-05, + "loss": 0.8757, + "step": 114 + }, + { + "epoch": 0.11, + "grad_norm": 0.4980023205280304, + "learning_rate": 2.4541284403669727e-05, + "loss": 1.0324, + "step": 115 + }, + { + "epoch": 0.11, + "grad_norm": 0.4931853115558624, + "learning_rate": 2.4537114261884906e-05, + "loss": 0.8934, + "step": 116 + }, + { + "epoch": 0.11, + "grad_norm": 0.3697071373462677, + "learning_rate": 2.4532944120100084e-05, + "loss": 0.638, + "step": 117 + }, + { + "epoch": 0.11, + "grad_norm": 0.4795219302177429, + "learning_rate": 2.4528773978315266e-05, + "loss": 0.9115, + "step": 118 + }, + { + "epoch": 0.12, + "grad_norm": 0.46871957182884216, + "learning_rate": 2.4524603836530444e-05, + "loss": 1.0805, + "step": 119 + }, + { + "epoch": 0.12, + "grad_norm": 0.506696879863739, + "learning_rate": 2.4520433694745622e-05, + "loss": 0.9613, + "step": 120 + }, + { + "epoch": 0.12, + "grad_norm": 0.50156569480896, + "learning_rate": 2.4516263552960804e-05, + "loss": 1.0161, + "step": 121 + }, + { + "epoch": 0.12, + "grad_norm": 0.8085962533950806, + "learning_rate": 2.4512093411175982e-05, + "loss": 0.9613, + "step": 122 + }, + { + "epoch": 0.12, + "grad_norm": 0.533356249332428, + "learning_rate": 2.450792326939116e-05, + "loss": 1.0997, + "step": 123 + }, + { + "epoch": 0.12, + "grad_norm": 0.4842146933078766, + "learning_rate": 2.4503753127606342e-05, + "loss": 0.9394, + "step": 124 + }, + { + "epoch": 0.12, + "grad_norm": 0.4426615834236145, + "learning_rate": 2.449958298582152e-05, + "loss": 0.7998, + "step": 125 + }, + { + "epoch": 0.12, + "grad_norm": 0.6645293235778809, + "learning_rate": 2.44954128440367e-05, + "loss": 0.9453, + "step": 126 + }, + { + "epoch": 0.12, + "grad_norm": 0.49732017517089844, + "learning_rate": 2.4491242702251877e-05, + "loss": 1.0186, + "step": 127 + }, + { + "epoch": 0.12, + "grad_norm": 0.35496851801872253, + "learning_rate": 2.4487072560467056e-05, + "loss": 0.7925, + "step": 128 + }, + { + "epoch": 0.12, + "grad_norm": 0.5744661092758179, + "learning_rate": 2.4482902418682234e-05, + "loss": 0.9443, + "step": 129 + }, + { + "epoch": 0.13, + "grad_norm": 0.5493216514587402, + "learning_rate": 2.4478732276897416e-05, + "loss": 0.8237, + "step": 130 + }, + { + "epoch": 0.13, + "grad_norm": 0.4944245219230652, + "learning_rate": 2.4474562135112594e-05, + "loss": 0.8906, + "step": 131 + }, + { + "epoch": 0.13, + "grad_norm": 0.5416004657745361, + "learning_rate": 2.4470391993327773e-05, + "loss": 1.0958, + "step": 132 + }, + { + "epoch": 0.13, + "grad_norm": 0.7139509916305542, + "learning_rate": 2.4466221851542954e-05, + "loss": 1.0457, + "step": 133 + }, + { + "epoch": 0.13, + "grad_norm": 0.5829365253448486, + "learning_rate": 2.4462051709758133e-05, + "loss": 1.0512, + "step": 134 + }, + { + "epoch": 0.13, + "grad_norm": 0.4774160385131836, + "learning_rate": 2.445788156797331e-05, + "loss": 1.0656, + "step": 135 + }, + { + "epoch": 0.13, + "grad_norm": 0.5883720517158508, + "learning_rate": 2.4453711426188493e-05, + "loss": 0.9454, + "step": 136 + }, + { + "epoch": 0.13, + "grad_norm": 0.4705682396888733, + "learning_rate": 2.444954128440367e-05, + "loss": 0.8903, + "step": 137 + }, + { + "epoch": 0.13, + "grad_norm": 0.5171908736228943, + "learning_rate": 2.444537114261885e-05, + "loss": 0.9769, + "step": 138 + }, + { + "epoch": 0.13, + "grad_norm": 0.44085678458213806, + "learning_rate": 2.444120100083403e-05, + "loss": 0.8447, + "step": 139 + }, + { + "epoch": 0.14, + "grad_norm": 0.5392141342163086, + "learning_rate": 2.443703085904921e-05, + "loss": 1.0604, + "step": 140 + }, + { + "epoch": 0.14, + "grad_norm": 0.5865790843963623, + "learning_rate": 2.4432860717264388e-05, + "loss": 0.9923, + "step": 141 + }, + { + "epoch": 0.14, + "grad_norm": 0.545307457447052, + "learning_rate": 2.442869057547957e-05, + "loss": 0.9669, + "step": 142 + }, + { + "epoch": 0.14, + "grad_norm": 0.5564165711402893, + "learning_rate": 2.4424520433694748e-05, + "loss": 1.0073, + "step": 143 + }, + { + "epoch": 0.14, + "grad_norm": 0.6521265506744385, + "learning_rate": 2.4420350291909926e-05, + "loss": 0.8792, + "step": 144 + }, + { + "epoch": 0.14, + "grad_norm": 0.47476157546043396, + "learning_rate": 2.4416180150125108e-05, + "loss": 0.8131, + "step": 145 + }, + { + "epoch": 0.14, + "grad_norm": 0.6859582662582397, + "learning_rate": 2.4412010008340286e-05, + "loss": 0.9738, + "step": 146 + }, + { + "epoch": 0.14, + "grad_norm": 0.6152223348617554, + "learning_rate": 2.4407839866555465e-05, + "loss": 0.8137, + "step": 147 + }, + { + "epoch": 0.14, + "grad_norm": 0.5168324112892151, + "learning_rate": 2.4403669724770646e-05, + "loss": 0.9367, + "step": 148 + }, + { + "epoch": 0.14, + "grad_norm": 0.5353080630302429, + "learning_rate": 2.439949958298582e-05, + "loss": 0.9699, + "step": 149 + }, + { + "epoch": 0.15, + "grad_norm": 0.5509986281394958, + "learning_rate": 2.4395329441201e-05, + "loss": 0.9455, + "step": 150 + }, + { + "epoch": 0.15, + "grad_norm": 0.49330204725265503, + "learning_rate": 2.439115929941618e-05, + "loss": 0.9076, + "step": 151 + }, + { + "epoch": 0.15, + "grad_norm": 0.511055588722229, + "learning_rate": 2.438698915763136e-05, + "loss": 0.8846, + "step": 152 + }, + { + "epoch": 0.15, + "grad_norm": 0.44587981700897217, + "learning_rate": 2.4382819015846538e-05, + "loss": 0.8448, + "step": 153 + }, + { + "epoch": 0.15, + "grad_norm": 0.5745062232017517, + "learning_rate": 2.437864887406172e-05, + "loss": 0.8776, + "step": 154 + }, + { + "epoch": 0.15, + "grad_norm": 0.7599831223487854, + "learning_rate": 2.4374478732276898e-05, + "loss": 1.1783, + "step": 155 + }, + { + "epoch": 0.15, + "grad_norm": 0.6581412553787231, + "learning_rate": 2.4370308590492076e-05, + "loss": 0.9283, + "step": 156 + }, + { + "epoch": 0.15, + "grad_norm": 0.5306268930435181, + "learning_rate": 2.4366138448707258e-05, + "loss": 0.8271, + "step": 157 + }, + { + "epoch": 0.15, + "grad_norm": 0.5611717104911804, + "learning_rate": 2.4361968306922437e-05, + "loss": 0.7943, + "step": 158 + }, + { + "epoch": 0.15, + "grad_norm": 0.6475602388381958, + "learning_rate": 2.4357798165137615e-05, + "loss": 0.8044, + "step": 159 + }, + { + "epoch": 0.15, + "grad_norm": 0.6255854964256287, + "learning_rate": 2.4353628023352797e-05, + "loss": 0.9874, + "step": 160 + }, + { + "epoch": 0.16, + "grad_norm": 0.5403562784194946, + "learning_rate": 2.4349457881567975e-05, + "loss": 0.9163, + "step": 161 + }, + { + "epoch": 0.16, + "grad_norm": 0.5450050830841064, + "learning_rate": 2.4345287739783153e-05, + "loss": 0.81, + "step": 162 + }, + { + "epoch": 0.16, + "grad_norm": 0.5770529508590698, + "learning_rate": 2.4341117597998335e-05, + "loss": 0.9751, + "step": 163 + }, + { + "epoch": 0.16, + "grad_norm": 0.5512617826461792, + "learning_rate": 2.4336947456213513e-05, + "loss": 0.8475, + "step": 164 + }, + { + "epoch": 0.16, + "grad_norm": 0.5404401421546936, + "learning_rate": 2.4332777314428692e-05, + "loss": 0.9024, + "step": 165 + }, + { + "epoch": 0.16, + "grad_norm": 0.4700109660625458, + "learning_rate": 2.4328607172643873e-05, + "loss": 0.8511, + "step": 166 + }, + { + "epoch": 0.16, + "grad_norm": 0.6696682572364807, + "learning_rate": 2.4324437030859052e-05, + "loss": 0.9721, + "step": 167 + }, + { + "epoch": 0.16, + "grad_norm": 0.5396999716758728, + "learning_rate": 2.432026688907423e-05, + "loss": 0.9916, + "step": 168 + }, + { + "epoch": 0.16, + "grad_norm": 0.5050697326660156, + "learning_rate": 2.4316096747289412e-05, + "loss": 1.2093, + "step": 169 + }, + { + "epoch": 0.16, + "grad_norm": 0.5010548830032349, + "learning_rate": 2.431192660550459e-05, + "loss": 0.8568, + "step": 170 + }, + { + "epoch": 0.17, + "grad_norm": 0.517240583896637, + "learning_rate": 2.4307756463719765e-05, + "loss": 0.8803, + "step": 171 + }, + { + "epoch": 0.17, + "grad_norm": 0.5649316310882568, + "learning_rate": 2.4303586321934947e-05, + "loss": 0.9054, + "step": 172 + }, + { + "epoch": 0.17, + "grad_norm": 0.531058669090271, + "learning_rate": 2.4299416180150125e-05, + "loss": 0.9299, + "step": 173 + }, + { + "epoch": 0.17, + "grad_norm": 0.5436975359916687, + "learning_rate": 2.4295246038365304e-05, + "loss": 0.9376, + "step": 174 + }, + { + "epoch": 0.17, + "grad_norm": 0.5779901742935181, + "learning_rate": 2.4291075896580485e-05, + "loss": 0.8104, + "step": 175 + }, + { + "epoch": 0.17, + "grad_norm": 0.5967327356338501, + "learning_rate": 2.4286905754795664e-05, + "loss": 0.9365, + "step": 176 + }, + { + "epoch": 0.17, + "grad_norm": 0.5066050291061401, + "learning_rate": 2.4282735613010842e-05, + "loss": 1.1074, + "step": 177 + }, + { + "epoch": 0.17, + "grad_norm": 0.6634217500686646, + "learning_rate": 2.4278565471226024e-05, + "loss": 0.8749, + "step": 178 + }, + { + "epoch": 0.17, + "grad_norm": 0.5090989470481873, + "learning_rate": 2.4274395329441202e-05, + "loss": 0.8569, + "step": 179 + }, + { + "epoch": 0.17, + "grad_norm": 0.4868498146533966, + "learning_rate": 2.427022518765638e-05, + "loss": 0.9802, + "step": 180 + }, + { + "epoch": 0.18, + "grad_norm": 0.4504464268684387, + "learning_rate": 2.4266055045871562e-05, + "loss": 0.8398, + "step": 181 + }, + { + "epoch": 0.18, + "grad_norm": 0.624054491519928, + "learning_rate": 2.426188490408674e-05, + "loss": 0.7402, + "step": 182 + }, + { + "epoch": 0.18, + "grad_norm": 0.7224746942520142, + "learning_rate": 2.425771476230192e-05, + "loss": 1.0012, + "step": 183 + }, + { + "epoch": 0.18, + "grad_norm": 0.5762686133384705, + "learning_rate": 2.42535446205171e-05, + "loss": 0.8861, + "step": 184 + }, + { + "epoch": 0.18, + "grad_norm": 0.4427376687526703, + "learning_rate": 2.424937447873228e-05, + "loss": 0.7905, + "step": 185 + }, + { + "epoch": 0.18, + "grad_norm": 0.5353884100914001, + "learning_rate": 2.4245204336947457e-05, + "loss": 0.9462, + "step": 186 + }, + { + "epoch": 0.18, + "grad_norm": 0.6105002164840698, + "learning_rate": 2.424103419516264e-05, + "loss": 0.942, + "step": 187 + }, + { + "epoch": 0.18, + "grad_norm": 0.4947579503059387, + "learning_rate": 2.4236864053377817e-05, + "loss": 0.885, + "step": 188 + }, + { + "epoch": 0.18, + "grad_norm": 0.5710715651512146, + "learning_rate": 2.4232693911592996e-05, + "loss": 0.7916, + "step": 189 + }, + { + "epoch": 0.18, + "grad_norm": 0.5347408056259155, + "learning_rate": 2.4228523769808177e-05, + "loss": 0.9147, + "step": 190 + }, + { + "epoch": 0.18, + "grad_norm": 0.5326257348060608, + "learning_rate": 2.4224353628023356e-05, + "loss": 0.983, + "step": 191 + }, + { + "epoch": 0.19, + "grad_norm": 0.5384941697120667, + "learning_rate": 2.4220183486238534e-05, + "loss": 0.8549, + "step": 192 + }, + { + "epoch": 0.19, + "grad_norm": 0.5108863711357117, + "learning_rate": 2.4216013344453712e-05, + "loss": 1.0141, + "step": 193 + }, + { + "epoch": 0.19, + "grad_norm": 0.517042338848114, + "learning_rate": 2.421184320266889e-05, + "loss": 1.0825, + "step": 194 + }, + { + "epoch": 0.19, + "grad_norm": 0.6025692224502563, + "learning_rate": 2.420767306088407e-05, + "loss": 0.9696, + "step": 195 + }, + { + "epoch": 0.19, + "grad_norm": 0.5827183723449707, + "learning_rate": 2.420350291909925e-05, + "loss": 0.9493, + "step": 196 + }, + { + "epoch": 0.19, + "grad_norm": 0.6090378165245056, + "learning_rate": 2.419933277731443e-05, + "loss": 0.8644, + "step": 197 + }, + { + "epoch": 0.19, + "grad_norm": 0.5605267286300659, + "learning_rate": 2.4195162635529607e-05, + "loss": 0.8213, + "step": 198 + }, + { + "epoch": 0.19, + "grad_norm": 0.5856810212135315, + "learning_rate": 2.419099249374479e-05, + "loss": 0.9014, + "step": 199 + }, + { + "epoch": 0.19, + "grad_norm": 0.504971981048584, + "learning_rate": 2.4186822351959968e-05, + "loss": 1.0658, + "step": 200 + }, + { + "epoch": 0.19, + "grad_norm": 0.6207853555679321, + "learning_rate": 2.4182652210175146e-05, + "loss": 0.8913, + "step": 201 + }, + { + "epoch": 0.2, + "grad_norm": 0.5108017325401306, + "learning_rate": 2.4178482068390328e-05, + "loss": 0.9264, + "step": 202 + }, + { + "epoch": 0.2, + "grad_norm": 0.4918925166130066, + "learning_rate": 2.4174311926605506e-05, + "loss": 0.8393, + "step": 203 + }, + { + "epoch": 0.2, + "grad_norm": 0.5883503556251526, + "learning_rate": 2.4170141784820684e-05, + "loss": 0.9802, + "step": 204 + }, + { + "epoch": 0.2, + "grad_norm": 0.7841046452522278, + "learning_rate": 2.4165971643035866e-05, + "loss": 1.0444, + "step": 205 + }, + { + "epoch": 0.2, + "grad_norm": 0.5710173845291138, + "learning_rate": 2.4161801501251044e-05, + "loss": 0.7971, + "step": 206 + }, + { + "epoch": 0.2, + "grad_norm": 0.6426926851272583, + "learning_rate": 2.4157631359466223e-05, + "loss": 1.0027, + "step": 207 + }, + { + "epoch": 0.2, + "grad_norm": 0.6156713962554932, + "learning_rate": 2.4153461217681404e-05, + "loss": 0.8692, + "step": 208 + }, + { + "epoch": 0.2, + "grad_norm": 0.518797755241394, + "learning_rate": 2.4149291075896583e-05, + "loss": 1.0756, + "step": 209 + }, + { + "epoch": 0.2, + "grad_norm": 0.6059840321540833, + "learning_rate": 2.414512093411176e-05, + "loss": 0.9208, + "step": 210 + }, + { + "epoch": 0.2, + "grad_norm": 0.5301397442817688, + "learning_rate": 2.4140950792326943e-05, + "loss": 0.8429, + "step": 211 + }, + { + "epoch": 0.21, + "grad_norm": 0.5045018196105957, + "learning_rate": 2.413678065054212e-05, + "loss": 0.9749, + "step": 212 + }, + { + "epoch": 0.21, + "grad_norm": 0.5364489555358887, + "learning_rate": 2.41326105087573e-05, + "loss": 0.9257, + "step": 213 + }, + { + "epoch": 0.21, + "grad_norm": 0.5883194208145142, + "learning_rate": 2.4128440366972478e-05, + "loss": 0.9425, + "step": 214 + }, + { + "epoch": 0.21, + "grad_norm": 0.5089970827102661, + "learning_rate": 2.4124270225187656e-05, + "loss": 0.9143, + "step": 215 + }, + { + "epoch": 0.21, + "grad_norm": 0.4921114146709442, + "learning_rate": 2.4120100083402835e-05, + "loss": 0.8185, + "step": 216 + }, + { + "epoch": 0.21, + "grad_norm": 0.6458795666694641, + "learning_rate": 2.4115929941618016e-05, + "loss": 0.9326, + "step": 217 + }, + { + "epoch": 0.21, + "grad_norm": 0.5595823526382446, + "learning_rate": 2.4111759799833195e-05, + "loss": 0.953, + "step": 218 + }, + { + "epoch": 0.21, + "grad_norm": 0.5249003171920776, + "learning_rate": 2.4107589658048373e-05, + "loss": 0.9634, + "step": 219 + }, + { + "epoch": 0.21, + "grad_norm": 0.600739598274231, + "learning_rate": 2.4103419516263555e-05, + "loss": 1.0542, + "step": 220 + }, + { + "epoch": 0.21, + "grad_norm": 0.5902988910675049, + "learning_rate": 2.4099249374478733e-05, + "loss": 0.9256, + "step": 221 + }, + { + "epoch": 0.21, + "grad_norm": 0.6333745718002319, + "learning_rate": 2.409507923269391e-05, + "loss": 0.9553, + "step": 222 + }, + { + "epoch": 0.22, + "grad_norm": 0.5404235124588013, + "learning_rate": 2.4090909090909093e-05, + "loss": 0.9438, + "step": 223 + }, + { + "epoch": 0.22, + "grad_norm": 0.5644769668579102, + "learning_rate": 2.408673894912427e-05, + "loss": 0.8909, + "step": 224 + }, + { + "epoch": 0.22, + "grad_norm": 0.4936315417289734, + "learning_rate": 2.408256880733945e-05, + "loss": 0.9981, + "step": 225 + }, + { + "epoch": 0.22, + "grad_norm": 0.437996506690979, + "learning_rate": 2.407839866555463e-05, + "loss": 0.7895, + "step": 226 + }, + { + "epoch": 0.22, + "grad_norm": 0.564152181148529, + "learning_rate": 2.407422852376981e-05, + "loss": 0.9208, + "step": 227 + }, + { + "epoch": 0.22, + "grad_norm": 0.6698510646820068, + "learning_rate": 2.4070058381984988e-05, + "loss": 0.9185, + "step": 228 + }, + { + "epoch": 0.22, + "grad_norm": 0.5250679850578308, + "learning_rate": 2.406588824020017e-05, + "loss": 0.7982, + "step": 229 + }, + { + "epoch": 0.22, + "grad_norm": 0.5436989068984985, + "learning_rate": 2.4061718098415348e-05, + "loss": 0.8977, + "step": 230 + }, + { + "epoch": 0.22, + "grad_norm": 0.7204024791717529, + "learning_rate": 2.4057547956630527e-05, + "loss": 0.8914, + "step": 231 + }, + { + "epoch": 0.22, + "grad_norm": 0.5219422578811646, + "learning_rate": 2.405337781484571e-05, + "loss": 0.961, + "step": 232 + }, + { + "epoch": 0.23, + "grad_norm": 0.5776578187942505, + "learning_rate": 2.4049207673060887e-05, + "loss": 0.9665, + "step": 233 + }, + { + "epoch": 0.23, + "grad_norm": 0.4740027189254761, + "learning_rate": 2.4045037531276065e-05, + "loss": 0.8292, + "step": 234 + }, + { + "epoch": 0.23, + "grad_norm": 0.5226345062255859, + "learning_rate": 2.4040867389491243e-05, + "loss": 1.131, + "step": 235 + }, + { + "epoch": 0.23, + "grad_norm": 0.451038658618927, + "learning_rate": 2.4036697247706425e-05, + "loss": 0.82, + "step": 236 + }, + { + "epoch": 0.23, + "grad_norm": 0.6371166110038757, + "learning_rate": 2.40325271059216e-05, + "loss": 0.9037, + "step": 237 + }, + { + "epoch": 0.23, + "grad_norm": 0.5512571930885315, + "learning_rate": 2.4028356964136782e-05, + "loss": 1.0743, + "step": 238 + }, + { + "epoch": 0.23, + "grad_norm": 0.5207469463348389, + "learning_rate": 2.402418682235196e-05, + "loss": 0.8259, + "step": 239 + }, + { + "epoch": 0.23, + "grad_norm": 0.5044646263122559, + "learning_rate": 2.402001668056714e-05, + "loss": 1.0369, + "step": 240 + }, + { + "epoch": 0.23, + "grad_norm": 0.4560176134109497, + "learning_rate": 2.401584653878232e-05, + "loss": 0.7941, + "step": 241 + }, + { + "epoch": 0.23, + "grad_norm": 0.548731803894043, + "learning_rate": 2.40116763969975e-05, + "loss": 0.957, + "step": 242 + }, + { + "epoch": 0.24, + "grad_norm": 0.5434823632240295, + "learning_rate": 2.4007506255212677e-05, + "loss": 1.0199, + "step": 243 + }, + { + "epoch": 0.24, + "grad_norm": 0.5649272799491882, + "learning_rate": 2.400333611342786e-05, + "loss": 0.9516, + "step": 244 + }, + { + "epoch": 0.24, + "grad_norm": 0.5421128273010254, + "learning_rate": 2.3999165971643037e-05, + "loss": 0.9607, + "step": 245 + }, + { + "epoch": 0.24, + "grad_norm": 0.47798410058021545, + "learning_rate": 2.3994995829858215e-05, + "loss": 0.9303, + "step": 246 + }, + { + "epoch": 0.24, + "grad_norm": 0.5251927971839905, + "learning_rate": 2.3990825688073397e-05, + "loss": 0.8868, + "step": 247 + }, + { + "epoch": 0.24, + "grad_norm": 0.5234201550483704, + "learning_rate": 2.3986655546288575e-05, + "loss": 0.9115, + "step": 248 + }, + { + "epoch": 0.24, + "grad_norm": 0.5606189966201782, + "learning_rate": 2.3982485404503754e-05, + "loss": 0.8635, + "step": 249 + }, + { + "epoch": 0.24, + "grad_norm": 0.5771530866622925, + "learning_rate": 2.3978315262718935e-05, + "loss": 0.9671, + "step": 250 + }, + { + "epoch": 0.24, + "grad_norm": 0.5978524088859558, + "learning_rate": 2.3974145120934114e-05, + "loss": 0.9746, + "step": 251 + }, + { + "epoch": 0.24, + "grad_norm": 0.578183114528656, + "learning_rate": 2.3969974979149292e-05, + "loss": 0.9079, + "step": 252 + }, + { + "epoch": 0.24, + "grad_norm": 0.5531073212623596, + "learning_rate": 2.3965804837364474e-05, + "loss": 0.7921, + "step": 253 + }, + { + "epoch": 0.25, + "grad_norm": 0.420046865940094, + "learning_rate": 2.3961634695579652e-05, + "loss": 0.8104, + "step": 254 + }, + { + "epoch": 0.25, + "grad_norm": 0.6071536540985107, + "learning_rate": 2.395746455379483e-05, + "loss": 0.7847, + "step": 255 + }, + { + "epoch": 0.25, + "grad_norm": 0.4662683606147766, + "learning_rate": 2.395329441201001e-05, + "loss": 0.8967, + "step": 256 + }, + { + "epoch": 0.25, + "grad_norm": 0.5212205052375793, + "learning_rate": 2.394912427022519e-05, + "loss": 0.9011, + "step": 257 + }, + { + "epoch": 0.25, + "grad_norm": 0.5123275518417358, + "learning_rate": 2.394495412844037e-05, + "loss": 0.9934, + "step": 258 + }, + { + "epoch": 0.25, + "grad_norm": 0.6154735088348389, + "learning_rate": 2.3940783986655547e-05, + "loss": 0.9671, + "step": 259 + }, + { + "epoch": 0.25, + "grad_norm": 0.6273114681243896, + "learning_rate": 2.3936613844870726e-05, + "loss": 0.9615, + "step": 260 + }, + { + "epoch": 0.25, + "grad_norm": 0.5596601366996765, + "learning_rate": 2.3932443703085904e-05, + "loss": 0.9369, + "step": 261 + }, + { + "epoch": 0.25, + "grad_norm": 0.5961345434188843, + "learning_rate": 2.3928273561301086e-05, + "loss": 0.9372, + "step": 262 + }, + { + "epoch": 0.25, + "grad_norm": 0.45400306582450867, + "learning_rate": 2.3924103419516264e-05, + "loss": 0.8671, + "step": 263 + }, + { + "epoch": 0.26, + "grad_norm": 0.5067317485809326, + "learning_rate": 2.3919933277731442e-05, + "loss": 0.931, + "step": 264 + }, + { + "epoch": 0.26, + "grad_norm": 0.6063981652259827, + "learning_rate": 2.3915763135946624e-05, + "loss": 1.0008, + "step": 265 + }, + { + "epoch": 0.26, + "grad_norm": 0.5787941217422485, + "learning_rate": 2.3911592994161802e-05, + "loss": 0.8337, + "step": 266 + }, + { + "epoch": 0.26, + "grad_norm": 0.5503348112106323, + "learning_rate": 2.390742285237698e-05, + "loss": 0.93, + "step": 267 + }, + { + "epoch": 0.26, + "grad_norm": 0.44621288776397705, + "learning_rate": 2.3903252710592163e-05, + "loss": 1.0073, + "step": 268 + }, + { + "epoch": 0.26, + "grad_norm": 0.7012020945549011, + "learning_rate": 2.389908256880734e-05, + "loss": 0.8838, + "step": 269 + }, + { + "epoch": 0.26, + "grad_norm": 0.5151122808456421, + "learning_rate": 2.389491242702252e-05, + "loss": 1.057, + "step": 270 + }, + { + "epoch": 0.26, + "grad_norm": 0.5959406495094299, + "learning_rate": 2.38907422852377e-05, + "loss": 0.8071, + "step": 271 + }, + { + "epoch": 0.26, + "grad_norm": 0.5973700881004333, + "learning_rate": 2.388657214345288e-05, + "loss": 0.8295, + "step": 272 + }, + { + "epoch": 0.26, + "grad_norm": 0.4906652271747589, + "learning_rate": 2.3882402001668058e-05, + "loss": 0.8665, + "step": 273 + }, + { + "epoch": 0.27, + "grad_norm": 0.5696883201599121, + "learning_rate": 2.387823185988324e-05, + "loss": 0.8435, + "step": 274 + }, + { + "epoch": 0.27, + "grad_norm": 0.5902550220489502, + "learning_rate": 2.3874061718098418e-05, + "loss": 1.0047, + "step": 275 + }, + { + "epoch": 0.27, + "grad_norm": 0.561939537525177, + "learning_rate": 2.3869891576313596e-05, + "loss": 0.8227, + "step": 276 + }, + { + "epoch": 0.27, + "grad_norm": 0.4715827405452728, + "learning_rate": 2.3865721434528774e-05, + "loss": 0.83, + "step": 277 + }, + { + "epoch": 0.27, + "grad_norm": 0.5369262099266052, + "learning_rate": 2.3861551292743956e-05, + "loss": 1.0261, + "step": 278 + }, + { + "epoch": 0.27, + "grad_norm": 0.5432397723197937, + "learning_rate": 2.3857381150959134e-05, + "loss": 0.8313, + "step": 279 + }, + { + "epoch": 0.27, + "grad_norm": 0.5348038077354431, + "learning_rate": 2.3853211009174313e-05, + "loss": 0.8448, + "step": 280 + }, + { + "epoch": 0.27, + "grad_norm": 0.5290178060531616, + "learning_rate": 2.384904086738949e-05, + "loss": 0.9892, + "step": 281 + }, + { + "epoch": 0.27, + "grad_norm": 0.5948506593704224, + "learning_rate": 2.384487072560467e-05, + "loss": 0.9575, + "step": 282 + }, + { + "epoch": 0.27, + "grad_norm": 0.6924646496772766, + "learning_rate": 2.384070058381985e-05, + "loss": 0.904, + "step": 283 + }, + { + "epoch": 0.27, + "grad_norm": 0.45276251435279846, + "learning_rate": 2.383653044203503e-05, + "loss": 1.06, + "step": 284 + }, + { + "epoch": 0.28, + "grad_norm": 0.6567786335945129, + "learning_rate": 2.3832360300250208e-05, + "loss": 0.9956, + "step": 285 + }, + { + "epoch": 0.28, + "grad_norm": 0.47373726963996887, + "learning_rate": 2.382819015846539e-05, + "loss": 0.7358, + "step": 286 + }, + { + "epoch": 0.28, + "grad_norm": 0.5390726327896118, + "learning_rate": 2.3824020016680568e-05, + "loss": 0.9233, + "step": 287 + }, + { + "epoch": 0.28, + "grad_norm": 0.6784847974777222, + "learning_rate": 2.3819849874895746e-05, + "loss": 0.8887, + "step": 288 + }, + { + "epoch": 0.28, + "grad_norm": 0.5685104131698608, + "learning_rate": 2.3815679733110928e-05, + "loss": 0.7863, + "step": 289 + }, + { + "epoch": 0.28, + "grad_norm": 0.4748193621635437, + "learning_rate": 2.3811509591326106e-05, + "loss": 0.8412, + "step": 290 + }, + { + "epoch": 0.28, + "grad_norm": 0.5861102342605591, + "learning_rate": 2.3807339449541285e-05, + "loss": 0.9065, + "step": 291 + }, + { + "epoch": 0.28, + "grad_norm": 0.6086487174034119, + "learning_rate": 2.3803169307756466e-05, + "loss": 0.9406, + "step": 292 + }, + { + "epoch": 0.28, + "grad_norm": 0.5490145087242126, + "learning_rate": 2.3798999165971645e-05, + "loss": 0.9483, + "step": 293 + }, + { + "epoch": 0.28, + "grad_norm": 0.5362275838851929, + "learning_rate": 2.3794829024186823e-05, + "loss": 0.8212, + "step": 294 + }, + { + "epoch": 0.29, + "grad_norm": 0.5800451040267944, + "learning_rate": 2.3790658882402005e-05, + "loss": 0.8534, + "step": 295 + }, + { + "epoch": 0.29, + "grad_norm": 0.5603333115577698, + "learning_rate": 2.3786488740617183e-05, + "loss": 0.9225, + "step": 296 + }, + { + "epoch": 0.29, + "grad_norm": 0.6629205942153931, + "learning_rate": 2.378231859883236e-05, + "loss": 0.9768, + "step": 297 + }, + { + "epoch": 0.29, + "grad_norm": 0.49558499455451965, + "learning_rate": 2.377814845704754e-05, + "loss": 0.9311, + "step": 298 + }, + { + "epoch": 0.29, + "grad_norm": 0.6685351133346558, + "learning_rate": 2.377397831526272e-05, + "loss": 1.1238, + "step": 299 + }, + { + "epoch": 0.29, + "grad_norm": 0.5091190934181213, + "learning_rate": 2.37698081734779e-05, + "loss": 0.8149, + "step": 300 + }, + { + "epoch": 0.29, + "eval_loss": 0.9076499938964844, + "eval_runtime": 862.4421, + "eval_samples_per_second": 4.793, + "eval_steps_per_second": 0.599, + "step": 300 + }, + { + "epoch": 0.29, + "grad_norm": 0.5922454595565796, + "learning_rate": 2.3765638031693078e-05, + "loss": 0.9127, + "step": 301 + }, + { + "epoch": 0.29, + "grad_norm": 0.5306591987609863, + "learning_rate": 2.376146788990826e-05, + "loss": 1.1683, + "step": 302 + }, + { + "epoch": 0.29, + "grad_norm": 0.5685836672782898, + "learning_rate": 2.3757297748123435e-05, + "loss": 1.0509, + "step": 303 + }, + { + "epoch": 0.29, + "grad_norm": 0.5597637295722961, + "learning_rate": 2.3753127606338617e-05, + "loss": 0.8853, + "step": 304 + }, + { + "epoch": 0.3, + "grad_norm": 0.4776400029659271, + "learning_rate": 2.3748957464553795e-05, + "loss": 0.9287, + "step": 305 + }, + { + "epoch": 0.3, + "grad_norm": 0.49917924404144287, + "learning_rate": 2.3744787322768973e-05, + "loss": 1.1027, + "step": 306 + }, + { + "epoch": 0.3, + "grad_norm": 0.4852672517299652, + "learning_rate": 2.3740617180984155e-05, + "loss": 0.8356, + "step": 307 + }, + { + "epoch": 0.3, + "grad_norm": 0.5289337635040283, + "learning_rate": 2.3736447039199333e-05, + "loss": 0.6698, + "step": 308 + }, + { + "epoch": 0.3, + "grad_norm": 0.526043176651001, + "learning_rate": 2.3732276897414512e-05, + "loss": 0.8778, + "step": 309 + }, + { + "epoch": 0.3, + "grad_norm": 0.5021117329597473, + "learning_rate": 2.3728106755629694e-05, + "loss": 1.0215, + "step": 310 + }, + { + "epoch": 0.3, + "grad_norm": 0.5748148560523987, + "learning_rate": 2.3723936613844872e-05, + "loss": 0.8928, + "step": 311 + }, + { + "epoch": 0.3, + "grad_norm": 0.5972524881362915, + "learning_rate": 2.371976647206005e-05, + "loss": 0.9628, + "step": 312 + }, + { + "epoch": 0.3, + "grad_norm": 0.5705149173736572, + "learning_rate": 2.3715596330275232e-05, + "loss": 0.8209, + "step": 313 + }, + { + "epoch": 0.3, + "grad_norm": 0.49588820338249207, + "learning_rate": 2.371142618849041e-05, + "loss": 0.8465, + "step": 314 + }, + { + "epoch": 0.3, + "grad_norm": 0.7074465155601501, + "learning_rate": 2.370725604670559e-05, + "loss": 0.9414, + "step": 315 + }, + { + "epoch": 0.31, + "grad_norm": 0.4609573185443878, + "learning_rate": 2.370308590492077e-05, + "loss": 0.7922, + "step": 316 + }, + { + "epoch": 0.31, + "grad_norm": 0.5831531882286072, + "learning_rate": 2.369891576313595e-05, + "loss": 0.7674, + "step": 317 + }, + { + "epoch": 0.31, + "grad_norm": 0.6165751218795776, + "learning_rate": 2.3694745621351127e-05, + "loss": 0.8949, + "step": 318 + }, + { + "epoch": 0.31, + "grad_norm": 0.5617555975914001, + "learning_rate": 2.3690575479566305e-05, + "loss": 1.0736, + "step": 319 + }, + { + "epoch": 0.31, + "grad_norm": 0.5572984218597412, + "learning_rate": 2.3686405337781487e-05, + "loss": 0.8395, + "step": 320 + }, + { + "epoch": 0.31, + "grad_norm": 0.6361945867538452, + "learning_rate": 2.3682235195996665e-05, + "loss": 0.9828, + "step": 321 + }, + { + "epoch": 0.31, + "grad_norm": 0.5370876789093018, + "learning_rate": 2.3678065054211844e-05, + "loss": 0.8492, + "step": 322 + }, + { + "epoch": 0.31, + "grad_norm": 0.535824716091156, + "learning_rate": 2.3673894912427026e-05, + "loss": 0.8257, + "step": 323 + }, + { + "epoch": 0.31, + "grad_norm": 0.5093564987182617, + "learning_rate": 2.3669724770642204e-05, + "loss": 0.9197, + "step": 324 + }, + { + "epoch": 0.31, + "grad_norm": 0.5623197555541992, + "learning_rate": 2.3665554628857382e-05, + "loss": 1.0068, + "step": 325 + }, + { + "epoch": 0.32, + "grad_norm": 0.5178406238555908, + "learning_rate": 2.366138448707256e-05, + "loss": 0.9099, + "step": 326 + }, + { + "epoch": 0.32, + "grad_norm": 0.5288174152374268, + "learning_rate": 2.365721434528774e-05, + "loss": 0.8999, + "step": 327 + }, + { + "epoch": 0.32, + "grad_norm": 0.6511842608451843, + "learning_rate": 2.365304420350292e-05, + "loss": 0.9653, + "step": 328 + }, + { + "epoch": 0.32, + "grad_norm": 0.5734131932258606, + "learning_rate": 2.36488740617181e-05, + "loss": 0.9398, + "step": 329 + }, + { + "epoch": 0.32, + "grad_norm": 0.5824623107910156, + "learning_rate": 2.3644703919933277e-05, + "loss": 0.9871, + "step": 330 + }, + { + "epoch": 0.32, + "grad_norm": 0.6478250026702881, + "learning_rate": 2.364053377814846e-05, + "loss": 1.1154, + "step": 331 + }, + { + "epoch": 0.32, + "grad_norm": 0.5215903520584106, + "learning_rate": 2.3636363636363637e-05, + "loss": 0.7847, + "step": 332 + }, + { + "epoch": 0.32, + "grad_norm": 0.5793465375900269, + "learning_rate": 2.3632193494578816e-05, + "loss": 0.9525, + "step": 333 + }, + { + "epoch": 0.32, + "grad_norm": 0.5152865052223206, + "learning_rate": 2.3628023352793997e-05, + "loss": 1.0732, + "step": 334 + }, + { + "epoch": 0.32, + "grad_norm": 0.5150461196899414, + "learning_rate": 2.3623853211009176e-05, + "loss": 0.8572, + "step": 335 + }, + { + "epoch": 0.33, + "grad_norm": 0.528413712978363, + "learning_rate": 2.3619683069224354e-05, + "loss": 0.9689, + "step": 336 + }, + { + "epoch": 0.33, + "grad_norm": 0.5713242292404175, + "learning_rate": 2.3615512927439536e-05, + "loss": 0.9829, + "step": 337 + }, + { + "epoch": 0.33, + "grad_norm": 0.6024702191352844, + "learning_rate": 2.3611342785654714e-05, + "loss": 0.9382, + "step": 338 + }, + { + "epoch": 0.33, + "grad_norm": 0.5924674868583679, + "learning_rate": 2.3607172643869893e-05, + "loss": 1.0203, + "step": 339 + }, + { + "epoch": 0.33, + "grad_norm": 0.614467442035675, + "learning_rate": 2.3603002502085074e-05, + "loss": 0.878, + "step": 340 + }, + { + "epoch": 0.33, + "grad_norm": 0.4810243546962738, + "learning_rate": 2.3598832360300253e-05, + "loss": 0.8305, + "step": 341 + }, + { + "epoch": 0.33, + "grad_norm": 0.6652097105979919, + "learning_rate": 2.359466221851543e-05, + "loss": 0.832, + "step": 342 + }, + { + "epoch": 0.33, + "grad_norm": 0.5294763445854187, + "learning_rate": 2.359049207673061e-05, + "loss": 0.7895, + "step": 343 + }, + { + "epoch": 0.33, + "grad_norm": 0.5814401507377625, + "learning_rate": 2.358632193494579e-05, + "loss": 0.8304, + "step": 344 + }, + { + "epoch": 0.33, + "grad_norm": 0.5226671695709229, + "learning_rate": 2.358215179316097e-05, + "loss": 0.9462, + "step": 345 + }, + { + "epoch": 0.33, + "grad_norm": 0.4857078492641449, + "learning_rate": 2.3577981651376148e-05, + "loss": 0.8781, + "step": 346 + }, + { + "epoch": 0.34, + "grad_norm": 0.6437091827392578, + "learning_rate": 2.3573811509591326e-05, + "loss": 0.9583, + "step": 347 + }, + { + "epoch": 0.34, + "grad_norm": 0.5739506483078003, + "learning_rate": 2.3569641367806504e-05, + "loss": 0.8307, + "step": 348 + }, + { + "epoch": 0.34, + "grad_norm": 0.5711930394172668, + "learning_rate": 2.3565471226021686e-05, + "loss": 0.9714, + "step": 349 + }, + { + "epoch": 0.34, + "grad_norm": 0.5616204738616943, + "learning_rate": 2.3561301084236864e-05, + "loss": 0.8871, + "step": 350 + }, + { + "epoch": 0.34, + "grad_norm": 0.4789905250072479, + "learning_rate": 2.3557130942452043e-05, + "loss": 0.8301, + "step": 351 + }, + { + "epoch": 0.34, + "grad_norm": 0.5889979600906372, + "learning_rate": 2.3552960800667225e-05, + "loss": 0.9319, + "step": 352 + }, + { + "epoch": 0.34, + "grad_norm": 0.9433600306510925, + "learning_rate": 2.3548790658882403e-05, + "loss": 0.8861, + "step": 353 + }, + { + "epoch": 0.34, + "grad_norm": 0.48033571243286133, + "learning_rate": 2.354462051709758e-05, + "loss": 0.834, + "step": 354 + }, + { + "epoch": 0.34, + "grad_norm": 0.5918123126029968, + "learning_rate": 2.3540450375312763e-05, + "loss": 0.966, + "step": 355 + }, + { + "epoch": 0.34, + "grad_norm": 0.49576735496520996, + "learning_rate": 2.353628023352794e-05, + "loss": 0.8587, + "step": 356 + }, + { + "epoch": 0.35, + "grad_norm": 0.46030867099761963, + "learning_rate": 2.353211009174312e-05, + "loss": 0.869, + "step": 357 + }, + { + "epoch": 0.35, + "grad_norm": 0.6981384754180908, + "learning_rate": 2.35279399499583e-05, + "loss": 0.9603, + "step": 358 + }, + { + "epoch": 0.35, + "grad_norm": 0.5516886115074158, + "learning_rate": 2.352376980817348e-05, + "loss": 0.7921, + "step": 359 + }, + { + "epoch": 0.35, + "grad_norm": 0.5608734488487244, + "learning_rate": 2.3519599666388658e-05, + "loss": 0.898, + "step": 360 + }, + { + "epoch": 0.35, + "grad_norm": 0.4823013246059418, + "learning_rate": 2.351542952460384e-05, + "loss": 0.7759, + "step": 361 + }, + { + "epoch": 0.35, + "grad_norm": 0.5268071293830872, + "learning_rate": 2.3511259382819018e-05, + "loss": 1.0318, + "step": 362 + }, + { + "epoch": 0.35, + "grad_norm": 0.5538516640663147, + "learning_rate": 2.3507089241034196e-05, + "loss": 1.0796, + "step": 363 + }, + { + "epoch": 0.35, + "grad_norm": 0.5208737254142761, + "learning_rate": 2.3502919099249375e-05, + "loss": 0.8875, + "step": 364 + }, + { + "epoch": 0.35, + "grad_norm": 0.4551458954811096, + "learning_rate": 2.3498748957464557e-05, + "loss": 0.8236, + "step": 365 + }, + { + "epoch": 0.35, + "grad_norm": 0.7353642582893372, + "learning_rate": 2.3494578815679735e-05, + "loss": 0.8952, + "step": 366 + }, + { + "epoch": 0.36, + "grad_norm": 0.5523506999015808, + "learning_rate": 2.3490408673894913e-05, + "loss": 0.9074, + "step": 367 + }, + { + "epoch": 0.36, + "grad_norm": 0.5069112181663513, + "learning_rate": 2.3486238532110095e-05, + "loss": 0.8597, + "step": 368 + }, + { + "epoch": 0.36, + "grad_norm": 0.6556127071380615, + "learning_rate": 2.348206839032527e-05, + "loss": 0.8495, + "step": 369 + }, + { + "epoch": 0.36, + "grad_norm": 0.5718702673912048, + "learning_rate": 2.347789824854045e-05, + "loss": 0.9052, + "step": 370 + }, + { + "epoch": 0.36, + "grad_norm": 0.5816298723220825, + "learning_rate": 2.347372810675563e-05, + "loss": 0.9047, + "step": 371 + }, + { + "epoch": 0.36, + "grad_norm": 0.525292694568634, + "learning_rate": 2.3469557964970808e-05, + "loss": 0.8451, + "step": 372 + }, + { + "epoch": 0.36, + "grad_norm": 0.5476683974266052, + "learning_rate": 2.346538782318599e-05, + "loss": 0.8468, + "step": 373 + }, + { + "epoch": 0.36, + "grad_norm": 0.5591811537742615, + "learning_rate": 2.346121768140117e-05, + "loss": 0.9387, + "step": 374 + }, + { + "epoch": 0.36, + "grad_norm": 0.579791247844696, + "learning_rate": 2.3457047539616347e-05, + "loss": 0.9242, + "step": 375 + }, + { + "epoch": 0.36, + "grad_norm": 0.6625254154205322, + "learning_rate": 2.345287739783153e-05, + "loss": 0.8616, + "step": 376 + }, + { + "epoch": 0.36, + "grad_norm": 0.62064528465271, + "learning_rate": 2.3448707256046707e-05, + "loss": 0.9295, + "step": 377 + }, + { + "epoch": 0.37, + "grad_norm": 0.6740120649337769, + "learning_rate": 2.3444537114261885e-05, + "loss": 0.9817, + "step": 378 + }, + { + "epoch": 0.37, + "grad_norm": 0.6474786996841431, + "learning_rate": 2.3440366972477067e-05, + "loss": 0.8764, + "step": 379 + }, + { + "epoch": 0.37, + "grad_norm": 0.5351200699806213, + "learning_rate": 2.3436196830692245e-05, + "loss": 1.0244, + "step": 380 + }, + { + "epoch": 0.37, + "grad_norm": 0.5475795865058899, + "learning_rate": 2.3432026688907424e-05, + "loss": 0.9302, + "step": 381 + }, + { + "epoch": 0.37, + "grad_norm": 0.6036275625228882, + "learning_rate": 2.3427856547122605e-05, + "loss": 0.8268, + "step": 382 + }, + { + "epoch": 0.37, + "grad_norm": 0.4493115246295929, + "learning_rate": 2.3423686405337784e-05, + "loss": 0.7275, + "step": 383 + }, + { + "epoch": 0.37, + "grad_norm": 0.6510105133056641, + "learning_rate": 2.3419516263552962e-05, + "loss": 1.0477, + "step": 384 + }, + { + "epoch": 0.37, + "grad_norm": 0.6318631768226624, + "learning_rate": 2.341534612176814e-05, + "loss": 0.8404, + "step": 385 + }, + { + "epoch": 0.37, + "grad_norm": 0.564391016960144, + "learning_rate": 2.3411175979983322e-05, + "loss": 1.1201, + "step": 386 + }, + { + "epoch": 0.37, + "grad_norm": 0.4780203700065613, + "learning_rate": 2.34070058381985e-05, + "loss": 0.8665, + "step": 387 + }, + { + "epoch": 0.38, + "grad_norm": 0.515136182308197, + "learning_rate": 2.340283569641368e-05, + "loss": 0.8789, + "step": 388 + }, + { + "epoch": 0.38, + "grad_norm": 0.5679932236671448, + "learning_rate": 2.339866555462886e-05, + "loss": 0.9264, + "step": 389 + }, + { + "epoch": 0.38, + "grad_norm": 0.5096911191940308, + "learning_rate": 2.339449541284404e-05, + "loss": 0.9241, + "step": 390 + }, + { + "epoch": 0.38, + "grad_norm": 0.500415563583374, + "learning_rate": 2.3390325271059217e-05, + "loss": 1.0922, + "step": 391 + }, + { + "epoch": 0.38, + "grad_norm": 0.5401561260223389, + "learning_rate": 2.3386155129274395e-05, + "loss": 0.9504, + "step": 392 + }, + { + "epoch": 0.38, + "grad_norm": 0.6485615372657776, + "learning_rate": 2.3381984987489574e-05, + "loss": 0.8512, + "step": 393 + }, + { + "epoch": 0.38, + "grad_norm": 0.5771003365516663, + "learning_rate": 2.3377814845704756e-05, + "loss": 0.9754, + "step": 394 + }, + { + "epoch": 0.38, + "grad_norm": 0.4607711732387543, + "learning_rate": 2.3373644703919934e-05, + "loss": 0.9586, + "step": 395 + }, + { + "epoch": 0.38, + "grad_norm": 0.707533597946167, + "learning_rate": 2.3369474562135112e-05, + "loss": 0.7904, + "step": 396 + }, + { + "epoch": 0.38, + "grad_norm": 0.5504988431930542, + "learning_rate": 2.3365304420350294e-05, + "loss": 0.8232, + "step": 397 + }, + { + "epoch": 0.39, + "grad_norm": 0.5281274318695068, + "learning_rate": 2.3361134278565472e-05, + "loss": 0.7882, + "step": 398 + }, + { + "epoch": 0.39, + "grad_norm": 0.5252270102500916, + "learning_rate": 2.335696413678065e-05, + "loss": 0.7837, + "step": 399 + }, + { + "epoch": 0.39, + "grad_norm": 0.6626521348953247, + "learning_rate": 2.3352793994995832e-05, + "loss": 0.8895, + "step": 400 + }, + { + "epoch": 0.39, + "grad_norm": 0.8067114949226379, + "learning_rate": 2.334862385321101e-05, + "loss": 0.9144, + "step": 401 + }, + { + "epoch": 0.39, + "grad_norm": 0.5388604402542114, + "learning_rate": 2.334445371142619e-05, + "loss": 0.742, + "step": 402 + }, + { + "epoch": 0.39, + "grad_norm": 0.5297702550888062, + "learning_rate": 2.334028356964137e-05, + "loss": 0.8038, + "step": 403 + }, + { + "epoch": 0.39, + "grad_norm": 0.6486170887947083, + "learning_rate": 2.333611342785655e-05, + "loss": 0.8132, + "step": 404 + }, + { + "epoch": 0.39, + "grad_norm": 0.6415212154388428, + "learning_rate": 2.3331943286071727e-05, + "loss": 0.9853, + "step": 405 + }, + { + "epoch": 0.39, + "grad_norm": 0.6096828579902649, + "learning_rate": 2.3327773144286906e-05, + "loss": 0.8223, + "step": 406 + }, + { + "epoch": 0.39, + "grad_norm": 0.5683953762054443, + "learning_rate": 2.3323603002502088e-05, + "loss": 0.8358, + "step": 407 + }, + { + "epoch": 0.39, + "grad_norm": 0.5434399843215942, + "learning_rate": 2.3319432860717266e-05, + "loss": 0.8221, + "step": 408 + }, + { + "epoch": 0.4, + "grad_norm": 0.6254620552062988, + "learning_rate": 2.3315262718932444e-05, + "loss": 1.013, + "step": 409 + }, + { + "epoch": 0.4, + "grad_norm": 0.5619997978210449, + "learning_rate": 2.3311092577147626e-05, + "loss": 0.9217, + "step": 410 + }, + { + "epoch": 0.4, + "grad_norm": 0.6029112339019775, + "learning_rate": 2.3306922435362804e-05, + "loss": 1.1835, + "step": 411 + }, + { + "epoch": 0.4, + "grad_norm": 0.5518698692321777, + "learning_rate": 2.3302752293577983e-05, + "loss": 0.8288, + "step": 412 + }, + { + "epoch": 0.4, + "grad_norm": 0.538775622844696, + "learning_rate": 2.329858215179316e-05, + "loss": 0.8555, + "step": 413 + }, + { + "epoch": 0.4, + "grad_norm": 0.5452851057052612, + "learning_rate": 2.329441201000834e-05, + "loss": 0.7826, + "step": 414 + }, + { + "epoch": 0.4, + "grad_norm": 0.542155385017395, + "learning_rate": 2.329024186822352e-05, + "loss": 0.8111, + "step": 415 + }, + { + "epoch": 0.4, + "grad_norm": 0.5691449046134949, + "learning_rate": 2.32860717264387e-05, + "loss": 0.8942, + "step": 416 + }, + { + "epoch": 0.4, + "grad_norm": 0.5424182415008545, + "learning_rate": 2.3281901584653878e-05, + "loss": 0.9205, + "step": 417 + }, + { + "epoch": 0.4, + "grad_norm": 0.5617744326591492, + "learning_rate": 2.327773144286906e-05, + "loss": 0.9047, + "step": 418 + }, + { + "epoch": 0.41, + "grad_norm": 0.5395907163619995, + "learning_rate": 2.3273561301084238e-05, + "loss": 0.9528, + "step": 419 + }, + { + "epoch": 0.41, + "grad_norm": 0.47904080152511597, + "learning_rate": 2.3269391159299416e-05, + "loss": 0.8156, + "step": 420 + }, + { + "epoch": 0.41, + "grad_norm": 0.5622226595878601, + "learning_rate": 2.3265221017514598e-05, + "loss": 0.9377, + "step": 421 + }, + { + "epoch": 0.41, + "grad_norm": 0.5783960223197937, + "learning_rate": 2.3261050875729776e-05, + "loss": 0.9345, + "step": 422 + }, + { + "epoch": 0.41, + "grad_norm": 0.5433865189552307, + "learning_rate": 2.3256880733944955e-05, + "loss": 0.884, + "step": 423 + }, + { + "epoch": 0.41, + "grad_norm": 0.5081142783164978, + "learning_rate": 2.3252710592160136e-05, + "loss": 0.8724, + "step": 424 + }, + { + "epoch": 0.41, + "grad_norm": 0.562145471572876, + "learning_rate": 2.3248540450375315e-05, + "loss": 0.9375, + "step": 425 + }, + { + "epoch": 0.41, + "grad_norm": 0.579096257686615, + "learning_rate": 2.3244370308590493e-05, + "loss": 0.913, + "step": 426 + }, + { + "epoch": 0.41, + "grad_norm": 0.5873655676841736, + "learning_rate": 2.324020016680567e-05, + "loss": 1.1945, + "step": 427 + }, + { + "epoch": 0.41, + "grad_norm": 0.4483007788658142, + "learning_rate": 2.3236030025020853e-05, + "loss": 0.9208, + "step": 428 + }, + { + "epoch": 0.42, + "grad_norm": 0.8137602806091309, + "learning_rate": 2.323185988323603e-05, + "loss": 1.0511, + "step": 429 + }, + { + "epoch": 0.42, + "grad_norm": 0.4525623619556427, + "learning_rate": 2.322768974145121e-05, + "loss": 0.7449, + "step": 430 + }, + { + "epoch": 0.42, + "grad_norm": 0.5761750936508179, + "learning_rate": 2.322351959966639e-05, + "loss": 0.8342, + "step": 431 + }, + { + "epoch": 0.42, + "grad_norm": 0.511163592338562, + "learning_rate": 2.321934945788157e-05, + "loss": 0.6849, + "step": 432 + }, + { + "epoch": 0.42, + "grad_norm": 0.531359851360321, + "learning_rate": 2.3215179316096748e-05, + "loss": 0.8822, + "step": 433 + }, + { + "epoch": 0.42, + "grad_norm": 0.6181479096412659, + "learning_rate": 2.321100917431193e-05, + "loss": 0.8336, + "step": 434 + }, + { + "epoch": 0.42, + "grad_norm": 0.5445966720581055, + "learning_rate": 2.3206839032527105e-05, + "loss": 0.973, + "step": 435 + }, + { + "epoch": 0.42, + "grad_norm": 0.62320876121521, + "learning_rate": 2.3202668890742287e-05, + "loss": 1.1474, + "step": 436 + }, + { + "epoch": 0.42, + "grad_norm": 0.6737414598464966, + "learning_rate": 2.3198498748957465e-05, + "loss": 1.069, + "step": 437 + }, + { + "epoch": 0.42, + "grad_norm": 0.52313232421875, + "learning_rate": 2.3194328607172643e-05, + "loss": 0.8755, + "step": 438 + }, + { + "epoch": 0.42, + "grad_norm": 0.5782036185264587, + "learning_rate": 2.3190158465387825e-05, + "loss": 1.006, + "step": 439 + }, + { + "epoch": 0.43, + "grad_norm": 0.5772738456726074, + "learning_rate": 2.3185988323603003e-05, + "loss": 0.8886, + "step": 440 + }, + { + "epoch": 0.43, + "grad_norm": 0.5496781468391418, + "learning_rate": 2.318181818181818e-05, + "loss": 0.7737, + "step": 441 + }, + { + "epoch": 0.43, + "grad_norm": 0.509691596031189, + "learning_rate": 2.3177648040033363e-05, + "loss": 0.8015, + "step": 442 + }, + { + "epoch": 0.43, + "grad_norm": 0.5943809747695923, + "learning_rate": 2.3173477898248542e-05, + "loss": 0.8942, + "step": 443 + }, + { + "epoch": 0.43, + "grad_norm": 0.6114830374717712, + "learning_rate": 2.316930775646372e-05, + "loss": 0.9761, + "step": 444 + }, + { + "epoch": 0.43, + "grad_norm": 0.5711408853530884, + "learning_rate": 2.3165137614678902e-05, + "loss": 0.7619, + "step": 445 + }, + { + "epoch": 0.43, + "grad_norm": 0.5893176794052124, + "learning_rate": 2.316096747289408e-05, + "loss": 0.9334, + "step": 446 + }, + { + "epoch": 0.43, + "grad_norm": 0.5256770253181458, + "learning_rate": 2.315679733110926e-05, + "loss": 0.7513, + "step": 447 + }, + { + "epoch": 0.43, + "grad_norm": 0.646617591381073, + "learning_rate": 2.3152627189324437e-05, + "loss": 1.0965, + "step": 448 + }, + { + "epoch": 0.43, + "grad_norm": 0.5369918346405029, + "learning_rate": 2.314845704753962e-05, + "loss": 0.8786, + "step": 449 + }, + { + "epoch": 0.44, + "grad_norm": 0.6247989535331726, + "learning_rate": 2.3144286905754797e-05, + "loss": 1.0087, + "step": 450 + }, + { + "epoch": 0.44, + "grad_norm": 0.6016229391098022, + "learning_rate": 2.3140116763969975e-05, + "loss": 0.9628, + "step": 451 + }, + { + "epoch": 0.44, + "grad_norm": 0.4881921112537384, + "learning_rate": 2.3135946622185157e-05, + "loss": 0.7973, + "step": 452 + }, + { + "epoch": 0.44, + "grad_norm": 0.5827299952507019, + "learning_rate": 2.3131776480400335e-05, + "loss": 0.7974, + "step": 453 + }, + { + "epoch": 0.44, + "grad_norm": 0.6482928991317749, + "learning_rate": 2.3127606338615514e-05, + "loss": 0.9372, + "step": 454 + }, + { + "epoch": 0.44, + "grad_norm": 0.5257799625396729, + "learning_rate": 2.3123436196830695e-05, + "loss": 0.8604, + "step": 455 + }, + { + "epoch": 0.44, + "grad_norm": 0.6443677544593811, + "learning_rate": 2.3119266055045874e-05, + "loss": 0.96, + "step": 456 + }, + { + "epoch": 0.44, + "grad_norm": 0.5659534335136414, + "learning_rate": 2.3115095913261052e-05, + "loss": 0.9113, + "step": 457 + }, + { + "epoch": 0.44, + "grad_norm": 0.6275883316993713, + "learning_rate": 2.311092577147623e-05, + "loss": 0.7964, + "step": 458 + }, + { + "epoch": 0.44, + "grad_norm": 0.46369898319244385, + "learning_rate": 2.310675562969141e-05, + "loss": 0.8904, + "step": 459 + }, + { + "epoch": 0.45, + "grad_norm": 0.5726149082183838, + "learning_rate": 2.310258548790659e-05, + "loss": 0.7638, + "step": 460 + }, + { + "epoch": 0.45, + "grad_norm": 0.6445690989494324, + "learning_rate": 2.309841534612177e-05, + "loss": 0.843, + "step": 461 + }, + { + "epoch": 0.45, + "grad_norm": 0.5576388835906982, + "learning_rate": 2.3094245204336947e-05, + "loss": 1.0037, + "step": 462 + }, + { + "epoch": 0.45, + "grad_norm": 0.5339967012405396, + "learning_rate": 2.309007506255213e-05, + "loss": 0.9495, + "step": 463 + }, + { + "epoch": 0.45, + "grad_norm": 0.7896643280982971, + "learning_rate": 2.3085904920767307e-05, + "loss": 0.8939, + "step": 464 + }, + { + "epoch": 0.45, + "grad_norm": 0.4723299443721771, + "learning_rate": 2.3081734778982486e-05, + "loss": 0.8957, + "step": 465 + }, + { + "epoch": 0.45, + "grad_norm": 0.6506655216217041, + "learning_rate": 2.3077564637197667e-05, + "loss": 1.0441, + "step": 466 + }, + { + "epoch": 0.45, + "grad_norm": 0.6387409567832947, + "learning_rate": 2.3073394495412846e-05, + "loss": 0.8976, + "step": 467 + }, + { + "epoch": 0.45, + "grad_norm": 0.5511162877082825, + "learning_rate": 2.3069224353628024e-05, + "loss": 0.7996, + "step": 468 + }, + { + "epoch": 0.45, + "grad_norm": 0.5511218309402466, + "learning_rate": 2.3065054211843202e-05, + "loss": 0.9299, + "step": 469 + }, + { + "epoch": 0.45, + "grad_norm": 0.5744444727897644, + "learning_rate": 2.3060884070058384e-05, + "loss": 0.8646, + "step": 470 + }, + { + "epoch": 0.46, + "grad_norm": 0.5183812379837036, + "learning_rate": 2.3056713928273562e-05, + "loss": 0.9254, + "step": 471 + }, + { + "epoch": 0.46, + "grad_norm": 0.5713072419166565, + "learning_rate": 2.305254378648874e-05, + "loss": 1.0634, + "step": 472 + }, + { + "epoch": 0.46, + "grad_norm": 0.5099425911903381, + "learning_rate": 2.3048373644703922e-05, + "loss": 1.1285, + "step": 473 + }, + { + "epoch": 0.46, + "grad_norm": 0.5859925150871277, + "learning_rate": 2.30442035029191e-05, + "loss": 0.831, + "step": 474 + }, + { + "epoch": 0.46, + "grad_norm": 0.679755449295044, + "learning_rate": 2.304003336113428e-05, + "loss": 0.7885, + "step": 475 + }, + { + "epoch": 0.46, + "grad_norm": 0.5734862685203552, + "learning_rate": 2.303586321934946e-05, + "loss": 0.9111, + "step": 476 + }, + { + "epoch": 0.46, + "grad_norm": 0.5878548622131348, + "learning_rate": 2.303169307756464e-05, + "loss": 0.8382, + "step": 477 + }, + { + "epoch": 0.46, + "grad_norm": 0.6003478765487671, + "learning_rate": 2.3027522935779818e-05, + "loss": 0.9974, + "step": 478 + }, + { + "epoch": 0.46, + "grad_norm": 0.6665746569633484, + "learning_rate": 2.3023352793994996e-05, + "loss": 0.7312, + "step": 479 + }, + { + "epoch": 0.46, + "grad_norm": 0.5881315469741821, + "learning_rate": 2.3019182652210174e-05, + "loss": 1.0724, + "step": 480 + }, + { + "epoch": 0.47, + "grad_norm": 0.4969615340232849, + "learning_rate": 2.3015012510425356e-05, + "loss": 0.9062, + "step": 481 + }, + { + "epoch": 0.47, + "grad_norm": 0.578384518623352, + "learning_rate": 2.3010842368640534e-05, + "loss": 0.8252, + "step": 482 + }, + { + "epoch": 0.47, + "grad_norm": 0.5718455910682678, + "learning_rate": 2.3006672226855713e-05, + "loss": 0.9245, + "step": 483 + }, + { + "epoch": 0.47, + "grad_norm": 0.5496813058853149, + "learning_rate": 2.3002502085070894e-05, + "loss": 0.9568, + "step": 484 + }, + { + "epoch": 0.47, + "grad_norm": 0.5785025358200073, + "learning_rate": 2.2998331943286073e-05, + "loss": 0.9424, + "step": 485 + }, + { + "epoch": 0.47, + "grad_norm": 0.5447693467140198, + "learning_rate": 2.299416180150125e-05, + "loss": 0.9872, + "step": 486 + }, + { + "epoch": 0.47, + "grad_norm": 0.7082881927490234, + "learning_rate": 2.2989991659716433e-05, + "loss": 0.9824, + "step": 487 + }, + { + "epoch": 0.47, + "grad_norm": 0.6256225109100342, + "learning_rate": 2.298582151793161e-05, + "loss": 0.7119, + "step": 488 + }, + { + "epoch": 0.47, + "grad_norm": 0.5518692135810852, + "learning_rate": 2.298165137614679e-05, + "loss": 0.8971, + "step": 489 + }, + { + "epoch": 0.47, + "grad_norm": 0.5750965476036072, + "learning_rate": 2.2977481234361968e-05, + "loss": 0.7683, + "step": 490 + }, + { + "epoch": 0.48, + "grad_norm": 0.6137751936912537, + "learning_rate": 2.297331109257715e-05, + "loss": 0.9797, + "step": 491 + }, + { + "epoch": 0.48, + "grad_norm": 0.5171548128128052, + "learning_rate": 2.2969140950792328e-05, + "loss": 0.9208, + "step": 492 + }, + { + "epoch": 0.48, + "grad_norm": 0.5469406247138977, + "learning_rate": 2.2964970809007506e-05, + "loss": 0.8716, + "step": 493 + }, + { + "epoch": 0.48, + "grad_norm": 0.5411548614501953, + "learning_rate": 2.2960800667222688e-05, + "loss": 0.8181, + "step": 494 + }, + { + "epoch": 0.48, + "grad_norm": 0.6261366009712219, + "learning_rate": 2.2956630525437866e-05, + "loss": 0.8727, + "step": 495 + }, + { + "epoch": 0.48, + "grad_norm": 0.5834049582481384, + "learning_rate": 2.2952460383653045e-05, + "loss": 1.0115, + "step": 496 + }, + { + "epoch": 0.48, + "grad_norm": 0.5452191233634949, + "learning_rate": 2.2948290241868226e-05, + "loss": 0.9282, + "step": 497 + }, + { + "epoch": 0.48, + "grad_norm": 0.6342718005180359, + "learning_rate": 2.2944120100083405e-05, + "loss": 1.0361, + "step": 498 + }, + { + "epoch": 0.48, + "grad_norm": 0.525365948677063, + "learning_rate": 2.2939949958298583e-05, + "loss": 0.9665, + "step": 499 + }, + { + "epoch": 0.48, + "grad_norm": 0.49484652280807495, + "learning_rate": 2.2935779816513765e-05, + "loss": 0.9102, + "step": 500 + }, + { + "epoch": 0.48, + "grad_norm": 0.537958562374115, + "learning_rate": 2.293160967472894e-05, + "loss": 0.732, + "step": 501 + }, + { + "epoch": 0.49, + "grad_norm": 0.5696770548820496, + "learning_rate": 2.292743953294412e-05, + "loss": 0.7646, + "step": 502 + }, + { + "epoch": 0.49, + "grad_norm": 0.657290518283844, + "learning_rate": 2.29232693911593e-05, + "loss": 0.7712, + "step": 503 + }, + { + "epoch": 0.49, + "grad_norm": 0.5619834661483765, + "learning_rate": 2.2919099249374478e-05, + "loss": 0.8307, + "step": 504 + }, + { + "epoch": 0.49, + "grad_norm": 0.5080924034118652, + "learning_rate": 2.291492910758966e-05, + "loss": 0.9027, + "step": 505 + }, + { + "epoch": 0.49, + "grad_norm": 0.4467291235923767, + "learning_rate": 2.2910758965804838e-05, + "loss": 0.896, + "step": 506 + }, + { + "epoch": 0.49, + "grad_norm": 0.5404540300369263, + "learning_rate": 2.2906588824020017e-05, + "loss": 0.8078, + "step": 507 + }, + { + "epoch": 0.49, + "grad_norm": 0.5126699805259705, + "learning_rate": 2.2902418682235198e-05, + "loss": 0.7948, + "step": 508 + }, + { + "epoch": 0.49, + "grad_norm": 0.5213220715522766, + "learning_rate": 2.2898248540450377e-05, + "loss": 0.895, + "step": 509 + }, + { + "epoch": 0.49, + "grad_norm": 0.5855199694633484, + "learning_rate": 2.2894078398665555e-05, + "loss": 0.9132, + "step": 510 + }, + { + "epoch": 0.49, + "grad_norm": 0.5742369294166565, + "learning_rate": 2.2889908256880733e-05, + "loss": 0.8004, + "step": 511 + }, + { + "epoch": 0.5, + "grad_norm": 0.6466085910797119, + "learning_rate": 2.2885738115095915e-05, + "loss": 1.0185, + "step": 512 + }, + { + "epoch": 0.5, + "grad_norm": 0.8298839926719666, + "learning_rate": 2.2881567973311093e-05, + "loss": 0.8077, + "step": 513 + }, + { + "epoch": 0.5, + "grad_norm": 0.4840163290500641, + "learning_rate": 2.2877397831526272e-05, + "loss": 1.0323, + "step": 514 + }, + { + "epoch": 0.5, + "grad_norm": 0.5263453722000122, + "learning_rate": 2.2873227689741453e-05, + "loss": 0.7953, + "step": 515 + }, + { + "epoch": 0.5, + "grad_norm": 0.69414883852005, + "learning_rate": 2.2869057547956632e-05, + "loss": 0.8494, + "step": 516 + }, + { + "epoch": 0.5, + "grad_norm": 0.4882281422615051, + "learning_rate": 2.286488740617181e-05, + "loss": 0.9569, + "step": 517 + }, + { + "epoch": 0.5, + "grad_norm": 0.7385479807853699, + "learning_rate": 2.2860717264386992e-05, + "loss": 1.1661, + "step": 518 + }, + { + "epoch": 0.5, + "grad_norm": 0.5553436875343323, + "learning_rate": 2.285654712260217e-05, + "loss": 1.0766, + "step": 519 + }, + { + "epoch": 0.5, + "grad_norm": 0.5716243982315063, + "learning_rate": 2.285237698081735e-05, + "loss": 0.9918, + "step": 520 + }, + { + "epoch": 0.5, + "grad_norm": 0.5457003712654114, + "learning_rate": 2.284820683903253e-05, + "loss": 0.9854, + "step": 521 + }, + { + "epoch": 0.51, + "grad_norm": 0.5289131999015808, + "learning_rate": 2.284403669724771e-05, + "loss": 0.7663, + "step": 522 + }, + { + "epoch": 0.51, + "grad_norm": 0.5034335255622864, + "learning_rate": 2.2839866555462887e-05, + "loss": 1.0065, + "step": 523 + }, + { + "epoch": 0.51, + "grad_norm": 0.6132171154022217, + "learning_rate": 2.2835696413678065e-05, + "loss": 0.9086, + "step": 524 + }, + { + "epoch": 0.51, + "grad_norm": 0.6775213479995728, + "learning_rate": 2.2831526271893244e-05, + "loss": 1.008, + "step": 525 + }, + { + "epoch": 0.51, + "grad_norm": 0.5311771035194397, + "learning_rate": 2.2827356130108425e-05, + "loss": 0.9935, + "step": 526 + }, + { + "epoch": 0.51, + "grad_norm": 0.6105728149414062, + "learning_rate": 2.2823185988323604e-05, + "loss": 0.8336, + "step": 527 + }, + { + "epoch": 0.51, + "grad_norm": 0.6344435214996338, + "learning_rate": 2.2819015846538782e-05, + "loss": 0.8471, + "step": 528 + }, + { + "epoch": 0.51, + "grad_norm": 0.5682045221328735, + "learning_rate": 2.2814845704753964e-05, + "loss": 1.1155, + "step": 529 + }, + { + "epoch": 0.51, + "grad_norm": 0.5865404009819031, + "learning_rate": 2.2810675562969142e-05, + "loss": 1.0253, + "step": 530 + }, + { + "epoch": 0.51, + "grad_norm": 0.5437012314796448, + "learning_rate": 2.280650542118432e-05, + "loss": 0.9133, + "step": 531 + }, + { + "epoch": 0.51, + "grad_norm": 0.540703296661377, + "learning_rate": 2.28023352793995e-05, + "loss": 0.8001, + "step": 532 + }, + { + "epoch": 0.52, + "grad_norm": 0.5096856951713562, + "learning_rate": 2.279816513761468e-05, + "loss": 1.0158, + "step": 533 + }, + { + "epoch": 0.52, + "grad_norm": 0.4809298813343048, + "learning_rate": 2.279399499582986e-05, + "loss": 0.9118, + "step": 534 + }, + { + "epoch": 0.52, + "grad_norm": 0.6733030080795288, + "learning_rate": 2.2789824854045037e-05, + "loss": 0.935, + "step": 535 + }, + { + "epoch": 0.52, + "grad_norm": 0.661590576171875, + "learning_rate": 2.278565471226022e-05, + "loss": 0.9866, + "step": 536 + }, + { + "epoch": 0.52, + "grad_norm": 0.592123806476593, + "learning_rate": 2.2781484570475397e-05, + "loss": 0.9634, + "step": 537 + }, + { + "epoch": 0.52, + "grad_norm": 0.5814322233200073, + "learning_rate": 2.2777314428690576e-05, + "loss": 0.9493, + "step": 538 + }, + { + "epoch": 0.52, + "grad_norm": 0.6672446727752686, + "learning_rate": 2.2773144286905757e-05, + "loss": 0.8408, + "step": 539 + }, + { + "epoch": 0.52, + "grad_norm": 0.5478097796440125, + "learning_rate": 2.2768974145120936e-05, + "loss": 1.0068, + "step": 540 + }, + { + "epoch": 0.52, + "grad_norm": 0.5089244246482849, + "learning_rate": 2.2764804003336114e-05, + "loss": 0.8915, + "step": 541 + }, + { + "epoch": 0.52, + "grad_norm": 0.5938490629196167, + "learning_rate": 2.2760633861551296e-05, + "loss": 0.9318, + "step": 542 + }, + { + "epoch": 0.53, + "grad_norm": 0.7288405299186707, + "learning_rate": 2.2756463719766474e-05, + "loss": 0.8606, + "step": 543 + }, + { + "epoch": 0.53, + "grad_norm": 0.48931318521499634, + "learning_rate": 2.2752293577981652e-05, + "loss": 0.8371, + "step": 544 + }, + { + "epoch": 0.53, + "grad_norm": 0.5800907611846924, + "learning_rate": 2.274812343619683e-05, + "loss": 0.9946, + "step": 545 + }, + { + "epoch": 0.53, + "grad_norm": 0.5213743448257446, + "learning_rate": 2.274395329441201e-05, + "loss": 0.9347, + "step": 546 + }, + { + "epoch": 0.53, + "grad_norm": 0.5304762125015259, + "learning_rate": 2.273978315262719e-05, + "loss": 1.0393, + "step": 547 + }, + { + "epoch": 0.53, + "grad_norm": 0.6323351263999939, + "learning_rate": 2.273561301084237e-05, + "loss": 1.0596, + "step": 548 + }, + { + "epoch": 0.53, + "grad_norm": 0.6577224135398865, + "learning_rate": 2.2731442869057548e-05, + "loss": 0.9473, + "step": 549 + }, + { + "epoch": 0.53, + "grad_norm": 0.46279770135879517, + "learning_rate": 2.272727272727273e-05, + "loss": 0.8736, + "step": 550 + }, + { + "epoch": 0.53, + "grad_norm": 0.690254271030426, + "learning_rate": 2.2723102585487908e-05, + "loss": 0.9104, + "step": 551 + }, + { + "epoch": 0.53, + "grad_norm": 0.5406448841094971, + "learning_rate": 2.2718932443703086e-05, + "loss": 0.7738, + "step": 552 + }, + { + "epoch": 0.54, + "grad_norm": 0.694054901599884, + "learning_rate": 2.2714762301918264e-05, + "loss": 1.0363, + "step": 553 + }, + { + "epoch": 0.54, + "grad_norm": 0.4773634374141693, + "learning_rate": 2.2710592160133446e-05, + "loss": 0.748, + "step": 554 + }, + { + "epoch": 0.54, + "grad_norm": 0.6826935410499573, + "learning_rate": 2.2706422018348624e-05, + "loss": 0.8212, + "step": 555 + }, + { + "epoch": 0.54, + "grad_norm": 0.5146411061286926, + "learning_rate": 2.2702251876563803e-05, + "loss": 0.9267, + "step": 556 + }, + { + "epoch": 0.54, + "grad_norm": 0.7966969013214111, + "learning_rate": 2.2698081734778984e-05, + "loss": 1.067, + "step": 557 + }, + { + "epoch": 0.54, + "grad_norm": 0.6174925565719604, + "learning_rate": 2.2693911592994163e-05, + "loss": 1.0059, + "step": 558 + }, + { + "epoch": 0.54, + "grad_norm": 0.6015899181365967, + "learning_rate": 2.268974145120934e-05, + "loss": 0.8758, + "step": 559 + }, + { + "epoch": 0.54, + "grad_norm": 0.6730315089225769, + "learning_rate": 2.2685571309424523e-05, + "loss": 0.9143, + "step": 560 + }, + { + "epoch": 0.54, + "grad_norm": 0.8263806104660034, + "learning_rate": 2.26814011676397e-05, + "loss": 0.9858, + "step": 561 + }, + { + "epoch": 0.54, + "grad_norm": 0.5771057605743408, + "learning_rate": 2.267723102585488e-05, + "loss": 0.8353, + "step": 562 + }, + { + "epoch": 0.54, + "grad_norm": 0.48403289914131165, + "learning_rate": 2.267306088407006e-05, + "loss": 0.8368, + "step": 563 + }, + { + "epoch": 0.55, + "grad_norm": 0.541666567325592, + "learning_rate": 2.266889074228524e-05, + "loss": 0.95, + "step": 564 + }, + { + "epoch": 0.55, + "grad_norm": 0.6167953014373779, + "learning_rate": 2.2664720600500418e-05, + "loss": 1.0595, + "step": 565 + }, + { + "epoch": 0.55, + "grad_norm": 0.5818924307823181, + "learning_rate": 2.26605504587156e-05, + "loss": 1.0601, + "step": 566 + }, + { + "epoch": 0.55, + "grad_norm": 0.6551716923713684, + "learning_rate": 2.2656380316930778e-05, + "loss": 0.8369, + "step": 567 + }, + { + "epoch": 0.55, + "grad_norm": 0.6439747214317322, + "learning_rate": 2.2652210175145956e-05, + "loss": 1.0296, + "step": 568 + }, + { + "epoch": 0.55, + "grad_norm": 0.6526588201522827, + "learning_rate": 2.2648040033361135e-05, + "loss": 0.8564, + "step": 569 + }, + { + "epoch": 0.55, + "grad_norm": 0.5144054889678955, + "learning_rate": 2.2643869891576313e-05, + "loss": 0.9202, + "step": 570 + }, + { + "epoch": 0.55, + "grad_norm": 0.5736321806907654, + "learning_rate": 2.2639699749791495e-05, + "loss": 0.7815, + "step": 571 + }, + { + "epoch": 0.55, + "grad_norm": 0.5486142039299011, + "learning_rate": 2.2635529608006673e-05, + "loss": 0.9687, + "step": 572 + }, + { + "epoch": 0.55, + "grad_norm": 0.5020713210105896, + "learning_rate": 2.263135946622185e-05, + "loss": 0.7292, + "step": 573 + }, + { + "epoch": 0.56, + "grad_norm": 0.5840640664100647, + "learning_rate": 2.262718932443703e-05, + "loss": 0.856, + "step": 574 + }, + { + "epoch": 0.56, + "grad_norm": 0.5819253325462341, + "learning_rate": 2.262301918265221e-05, + "loss": 0.8859, + "step": 575 + }, + { + "epoch": 0.56, + "grad_norm": 0.7023516297340393, + "learning_rate": 2.261884904086739e-05, + "loss": 0.8815, + "step": 576 + }, + { + "epoch": 0.56, + "grad_norm": 0.6072829365730286, + "learning_rate": 2.2614678899082568e-05, + "loss": 0.77, + "step": 577 + }, + { + "epoch": 0.56, + "grad_norm": 0.5457326769828796, + "learning_rate": 2.261050875729775e-05, + "loss": 0.7721, + "step": 578 + }, + { + "epoch": 0.56, + "grad_norm": 0.5897898077964783, + "learning_rate": 2.2606338615512928e-05, + "loss": 0.9973, + "step": 579 + }, + { + "epoch": 0.56, + "grad_norm": 0.7403742074966431, + "learning_rate": 2.2602168473728107e-05, + "loss": 1.0023, + "step": 580 + }, + { + "epoch": 0.56, + "grad_norm": 0.5461257100105286, + "learning_rate": 2.259799833194329e-05, + "loss": 1.0213, + "step": 581 + }, + { + "epoch": 0.56, + "grad_norm": 0.6678907871246338, + "learning_rate": 2.2593828190158467e-05, + "loss": 0.8057, + "step": 582 + }, + { + "epoch": 0.56, + "grad_norm": 0.6316232085227966, + "learning_rate": 2.2589658048373645e-05, + "loss": 1.044, + "step": 583 + }, + { + "epoch": 0.57, + "grad_norm": 0.508712112903595, + "learning_rate": 2.2585487906588827e-05, + "loss": 0.8217, + "step": 584 + }, + { + "epoch": 0.57, + "grad_norm": 0.6437558531761169, + "learning_rate": 2.2581317764804005e-05, + "loss": 1.167, + "step": 585 + }, + { + "epoch": 0.57, + "grad_norm": 0.5358846783638, + "learning_rate": 2.2577147623019183e-05, + "loss": 0.8814, + "step": 586 + }, + { + "epoch": 0.57, + "grad_norm": 0.5416459441184998, + "learning_rate": 2.2572977481234365e-05, + "loss": 0.8743, + "step": 587 + }, + { + "epoch": 0.57, + "grad_norm": 0.5515671372413635, + "learning_rate": 2.2568807339449544e-05, + "loss": 0.8912, + "step": 588 + }, + { + "epoch": 0.57, + "grad_norm": 0.5158352851867676, + "learning_rate": 2.2564637197664722e-05, + "loss": 0.9257, + "step": 589 + }, + { + "epoch": 0.57, + "grad_norm": 0.6812213063240051, + "learning_rate": 2.25604670558799e-05, + "loss": 0.9384, + "step": 590 + }, + { + "epoch": 0.57, + "grad_norm": 0.7258120775222778, + "learning_rate": 2.255629691409508e-05, + "loss": 0.8526, + "step": 591 + }, + { + "epoch": 0.57, + "grad_norm": 0.5965185761451721, + "learning_rate": 2.255212677231026e-05, + "loss": 0.8634, + "step": 592 + }, + { + "epoch": 0.57, + "grad_norm": 0.5605189800262451, + "learning_rate": 2.254795663052544e-05, + "loss": 1.0182, + "step": 593 + }, + { + "epoch": 0.57, + "grad_norm": 0.5324650406837463, + "learning_rate": 2.2543786488740617e-05, + "loss": 0.9465, + "step": 594 + }, + { + "epoch": 0.58, + "grad_norm": 0.6159952282905579, + "learning_rate": 2.2539616346955795e-05, + "loss": 0.8781, + "step": 595 + }, + { + "epoch": 0.58, + "grad_norm": 0.5075808167457581, + "learning_rate": 2.2535446205170977e-05, + "loss": 0.9103, + "step": 596 + }, + { + "epoch": 0.58, + "grad_norm": 0.5675767660140991, + "learning_rate": 2.2531276063386155e-05, + "loss": 1.0843, + "step": 597 + }, + { + "epoch": 0.58, + "grad_norm": 0.5991758108139038, + "learning_rate": 2.2527105921601334e-05, + "loss": 0.8463, + "step": 598 + }, + { + "epoch": 0.58, + "grad_norm": 0.6336952447891235, + "learning_rate": 2.2522935779816515e-05, + "loss": 1.0581, + "step": 599 + }, + { + "epoch": 0.58, + "grad_norm": 0.5794342756271362, + "learning_rate": 2.2518765638031694e-05, + "loss": 0.923, + "step": 600 + }, + { + "epoch": 0.58, + "eval_loss": 0.8928050994873047, + "eval_runtime": 862.6017, + "eval_samples_per_second": 4.792, + "eval_steps_per_second": 0.599, + "step": 600 + }, + { + "epoch": 0.58, + "grad_norm": 0.4757324755191803, + "learning_rate": 2.2514595496246872e-05, + "loss": 0.7833, + "step": 601 + }, + { + "epoch": 0.58, + "grad_norm": 0.5001101493835449, + "learning_rate": 2.2510425354462054e-05, + "loss": 1.1247, + "step": 602 + }, + { + "epoch": 0.58, + "grad_norm": 0.5986557006835938, + "learning_rate": 2.2506255212677232e-05, + "loss": 0.9841, + "step": 603 + }, + { + "epoch": 0.58, + "grad_norm": 0.5145077109336853, + "learning_rate": 2.250208507089241e-05, + "loss": 1.0404, + "step": 604 + }, + { + "epoch": 0.59, + "grad_norm": 0.5639520287513733, + "learning_rate": 2.2497914929107592e-05, + "loss": 1.0119, + "step": 605 + }, + { + "epoch": 0.59, + "grad_norm": 0.48484882712364197, + "learning_rate": 2.249374478732277e-05, + "loss": 0.8532, + "step": 606 + }, + { + "epoch": 0.59, + "grad_norm": 0.6004512906074524, + "learning_rate": 2.248957464553795e-05, + "loss": 0.8792, + "step": 607 + }, + { + "epoch": 0.59, + "grad_norm": 0.5714022517204285, + "learning_rate": 2.248540450375313e-05, + "loss": 1.0789, + "step": 608 + }, + { + "epoch": 0.59, + "grad_norm": 0.516106367111206, + "learning_rate": 2.248123436196831e-05, + "loss": 0.832, + "step": 609 + }, + { + "epoch": 0.59, + "grad_norm": 0.525380551815033, + "learning_rate": 2.2477064220183487e-05, + "loss": 0.89, + "step": 610 + }, + { + "epoch": 0.59, + "grad_norm": 0.5237408876419067, + "learning_rate": 2.247289407839867e-05, + "loss": 0.7218, + "step": 611 + }, + { + "epoch": 0.59, + "grad_norm": 0.5980467200279236, + "learning_rate": 2.2468723936613844e-05, + "loss": 0.8922, + "step": 612 + }, + { + "epoch": 0.59, + "grad_norm": 0.5158054232597351, + "learning_rate": 2.2464553794829026e-05, + "loss": 1.0734, + "step": 613 + }, + { + "epoch": 0.59, + "grad_norm": 0.5180749893188477, + "learning_rate": 2.2460383653044204e-05, + "loss": 0.7553, + "step": 614 + }, + { + "epoch": 0.6, + "grad_norm": 0.5456546545028687, + "learning_rate": 2.2456213511259382e-05, + "loss": 0.906, + "step": 615 + }, + { + "epoch": 0.6, + "grad_norm": 0.6576938033103943, + "learning_rate": 2.245204336947456e-05, + "loss": 1.0114, + "step": 616 + }, + { + "epoch": 0.6, + "grad_norm": 0.5167136788368225, + "learning_rate": 2.2447873227689743e-05, + "loss": 0.8169, + "step": 617 + }, + { + "epoch": 0.6, + "grad_norm": 0.6477835178375244, + "learning_rate": 2.244370308590492e-05, + "loss": 1.0314, + "step": 618 + }, + { + "epoch": 0.6, + "grad_norm": 0.6288226842880249, + "learning_rate": 2.24395329441201e-05, + "loss": 0.9237, + "step": 619 + }, + { + "epoch": 0.6, + "grad_norm": 0.7470264434814453, + "learning_rate": 2.243536280233528e-05, + "loss": 0.9283, + "step": 620 + }, + { + "epoch": 0.6, + "grad_norm": 0.6539817452430725, + "learning_rate": 2.243119266055046e-05, + "loss": 1.0426, + "step": 621 + }, + { + "epoch": 0.6, + "grad_norm": 0.6046735048294067, + "learning_rate": 2.2427022518765638e-05, + "loss": 0.9808, + "step": 622 + }, + { + "epoch": 0.6, + "grad_norm": 0.5241483449935913, + "learning_rate": 2.242285237698082e-05, + "loss": 0.7652, + "step": 623 + }, + { + "epoch": 0.6, + "grad_norm": 0.5310834050178528, + "learning_rate": 2.2418682235195998e-05, + "loss": 0.9361, + "step": 624 + }, + { + "epoch": 0.6, + "grad_norm": 0.6758256554603577, + "learning_rate": 2.2414512093411176e-05, + "loss": 0.9688, + "step": 625 + }, + { + "epoch": 0.61, + "grad_norm": 0.6072964072227478, + "learning_rate": 2.2410341951626358e-05, + "loss": 1.0295, + "step": 626 + }, + { + "epoch": 0.61, + "grad_norm": 0.48252397775650024, + "learning_rate": 2.2406171809841536e-05, + "loss": 0.8814, + "step": 627 + }, + { + "epoch": 0.61, + "grad_norm": 0.6290227174758911, + "learning_rate": 2.2402001668056714e-05, + "loss": 0.9118, + "step": 628 + }, + { + "epoch": 0.61, + "grad_norm": 0.5975037217140198, + "learning_rate": 2.2397831526271896e-05, + "loss": 0.8604, + "step": 629 + }, + { + "epoch": 0.61, + "grad_norm": 0.48755747079849243, + "learning_rate": 2.2393661384487075e-05, + "loss": 0.7871, + "step": 630 + }, + { + "epoch": 0.61, + "grad_norm": 0.527641773223877, + "learning_rate": 2.2389491242702253e-05, + "loss": 0.7539, + "step": 631 + }, + { + "epoch": 0.61, + "grad_norm": 0.6110572814941406, + "learning_rate": 2.2385321100917435e-05, + "loss": 0.9407, + "step": 632 + }, + { + "epoch": 0.61, + "grad_norm": 0.5736991167068481, + "learning_rate": 2.2381150959132613e-05, + "loss": 0.8642, + "step": 633 + }, + { + "epoch": 0.61, + "grad_norm": 0.5510839819908142, + "learning_rate": 2.237698081734779e-05, + "loss": 0.8452, + "step": 634 + }, + { + "epoch": 0.61, + "grad_norm": 0.5718552470207214, + "learning_rate": 2.237281067556297e-05, + "loss": 0.9791, + "step": 635 + }, + { + "epoch": 0.62, + "grad_norm": 0.5936397314071655, + "learning_rate": 2.2368640533778148e-05, + "loss": 1.0028, + "step": 636 + }, + { + "epoch": 0.62, + "grad_norm": 0.5886701345443726, + "learning_rate": 2.2364470391993326e-05, + "loss": 0.8704, + "step": 637 + }, + { + "epoch": 0.62, + "grad_norm": 0.5776005983352661, + "learning_rate": 2.2360300250208508e-05, + "loss": 0.9626, + "step": 638 + }, + { + "epoch": 0.62, + "grad_norm": 0.6643352508544922, + "learning_rate": 2.2356130108423686e-05, + "loss": 1.0432, + "step": 639 + }, + { + "epoch": 0.62, + "grad_norm": 0.667109489440918, + "learning_rate": 2.2351959966638865e-05, + "loss": 0.8872, + "step": 640 + }, + { + "epoch": 0.62, + "grad_norm": 0.572689950466156, + "learning_rate": 2.2347789824854046e-05, + "loss": 0.8492, + "step": 641 + }, + { + "epoch": 0.62, + "grad_norm": 0.5439754128456116, + "learning_rate": 2.2343619683069225e-05, + "loss": 0.8532, + "step": 642 + }, + { + "epoch": 0.62, + "grad_norm": 0.6312196850776672, + "learning_rate": 2.2339449541284403e-05, + "loss": 0.8169, + "step": 643 + }, + { + "epoch": 0.62, + "grad_norm": 0.6633208990097046, + "learning_rate": 2.2335279399499585e-05, + "loss": 0.8725, + "step": 644 + }, + { + "epoch": 0.62, + "grad_norm": 0.7135180830955505, + "learning_rate": 2.2331109257714763e-05, + "loss": 1.0308, + "step": 645 + }, + { + "epoch": 0.63, + "grad_norm": 0.67781001329422, + "learning_rate": 2.232693911592994e-05, + "loss": 0.936, + "step": 646 + }, + { + "epoch": 0.63, + "grad_norm": 0.5986970067024231, + "learning_rate": 2.2322768974145123e-05, + "loss": 0.8439, + "step": 647 + }, + { + "epoch": 0.63, + "grad_norm": 0.654697835445404, + "learning_rate": 2.23185988323603e-05, + "loss": 0.7795, + "step": 648 + }, + { + "epoch": 0.63, + "grad_norm": 0.5156466960906982, + "learning_rate": 2.231442869057548e-05, + "loss": 0.7546, + "step": 649 + }, + { + "epoch": 0.63, + "grad_norm": 0.5382063984870911, + "learning_rate": 2.2310258548790662e-05, + "loss": 0.9523, + "step": 650 + }, + { + "epoch": 0.63, + "grad_norm": 0.594122052192688, + "learning_rate": 2.230608840700584e-05, + "loss": 1.0754, + "step": 651 + }, + { + "epoch": 0.63, + "grad_norm": 0.5636196732521057, + "learning_rate": 2.230191826522102e-05, + "loss": 0.8661, + "step": 652 + }, + { + "epoch": 0.63, + "grad_norm": 0.5619565844535828, + "learning_rate": 2.22977481234362e-05, + "loss": 0.9837, + "step": 653 + }, + { + "epoch": 0.63, + "grad_norm": 0.6646262407302856, + "learning_rate": 2.229357798165138e-05, + "loss": 0.9541, + "step": 654 + }, + { + "epoch": 0.63, + "grad_norm": 0.5366731882095337, + "learning_rate": 2.2289407839866557e-05, + "loss": 0.8739, + "step": 655 + }, + { + "epoch": 0.63, + "grad_norm": 0.6163346767425537, + "learning_rate": 2.2285237698081735e-05, + "loss": 0.9436, + "step": 656 + }, + { + "epoch": 0.64, + "grad_norm": 0.6521465182304382, + "learning_rate": 2.2281067556296913e-05, + "loss": 0.877, + "step": 657 + }, + { + "epoch": 0.64, + "grad_norm": 0.5919243097305298, + "learning_rate": 2.2276897414512092e-05, + "loss": 0.9615, + "step": 658 + }, + { + "epoch": 0.64, + "grad_norm": 0.5470903515815735, + "learning_rate": 2.2272727272727274e-05, + "loss": 0.945, + "step": 659 + }, + { + "epoch": 0.64, + "grad_norm": 0.5704642534255981, + "learning_rate": 2.2268557130942452e-05, + "loss": 0.8802, + "step": 660 + }, + { + "epoch": 0.64, + "grad_norm": 0.6420626640319824, + "learning_rate": 2.226438698915763e-05, + "loss": 0.8371, + "step": 661 + }, + { + "epoch": 0.64, + "grad_norm": 0.5071094632148743, + "learning_rate": 2.2260216847372812e-05, + "loss": 0.8873, + "step": 662 + }, + { + "epoch": 0.64, + "grad_norm": 0.5379112958908081, + "learning_rate": 2.225604670558799e-05, + "loss": 0.8116, + "step": 663 + }, + { + "epoch": 0.64, + "grad_norm": 0.9729637503623962, + "learning_rate": 2.225187656380317e-05, + "loss": 0.7785, + "step": 664 + }, + { + "epoch": 0.64, + "grad_norm": 0.63363116979599, + "learning_rate": 2.224770642201835e-05, + "loss": 0.9672, + "step": 665 + }, + { + "epoch": 0.64, + "grad_norm": 0.6263750195503235, + "learning_rate": 2.224353628023353e-05, + "loss": 0.9921, + "step": 666 + }, + { + "epoch": 0.65, + "grad_norm": 0.49659407138824463, + "learning_rate": 2.2239366138448707e-05, + "loss": 0.7949, + "step": 667 + }, + { + "epoch": 0.65, + "grad_norm": 0.66839599609375, + "learning_rate": 2.223519599666389e-05, + "loss": 0.7895, + "step": 668 + }, + { + "epoch": 0.65, + "grad_norm": 0.6070045232772827, + "learning_rate": 2.2231025854879067e-05, + "loss": 0.8628, + "step": 669 + }, + { + "epoch": 0.65, + "grad_norm": 0.5659862160682678, + "learning_rate": 2.2226855713094245e-05, + "loss": 0.9161, + "step": 670 + }, + { + "epoch": 0.65, + "grad_norm": 0.6427795886993408, + "learning_rate": 2.2222685571309427e-05, + "loss": 0.8886, + "step": 671 + }, + { + "epoch": 0.65, + "grad_norm": 0.548677921295166, + "learning_rate": 2.2218515429524606e-05, + "loss": 0.8194, + "step": 672 + }, + { + "epoch": 0.65, + "grad_norm": 0.667427122592926, + "learning_rate": 2.2214345287739784e-05, + "loss": 0.983, + "step": 673 + }, + { + "epoch": 0.65, + "grad_norm": 0.5649857521057129, + "learning_rate": 2.2210175145954966e-05, + "loss": 0.8793, + "step": 674 + }, + { + "epoch": 0.65, + "grad_norm": 0.5327683687210083, + "learning_rate": 2.2206005004170144e-05, + "loss": 0.8943, + "step": 675 + }, + { + "epoch": 0.65, + "grad_norm": 0.5115516781806946, + "learning_rate": 2.2201834862385322e-05, + "loss": 0.9194, + "step": 676 + }, + { + "epoch": 0.66, + "grad_norm": 0.5953977704048157, + "learning_rate": 2.2197664720600504e-05, + "loss": 0.9642, + "step": 677 + }, + { + "epoch": 0.66, + "grad_norm": 0.4958788752555847, + "learning_rate": 2.219349457881568e-05, + "loss": 0.8372, + "step": 678 + }, + { + "epoch": 0.66, + "grad_norm": 0.5621132850646973, + "learning_rate": 2.2189324437030857e-05, + "loss": 0.9409, + "step": 679 + }, + { + "epoch": 0.66, + "grad_norm": 0.5244410037994385, + "learning_rate": 2.218515429524604e-05, + "loss": 0.8979, + "step": 680 + }, + { + "epoch": 0.66, + "grad_norm": 0.551428496837616, + "learning_rate": 2.2180984153461217e-05, + "loss": 0.8473, + "step": 681 + }, + { + "epoch": 0.66, + "grad_norm": 0.500207245349884, + "learning_rate": 2.2176814011676396e-05, + "loss": 0.7356, + "step": 682 + }, + { + "epoch": 0.66, + "grad_norm": 0.6019723415374756, + "learning_rate": 2.2172643869891577e-05, + "loss": 0.8726, + "step": 683 + }, + { + "epoch": 0.66, + "grad_norm": 0.5311354994773865, + "learning_rate": 2.2168473728106756e-05, + "loss": 0.7015, + "step": 684 + }, + { + "epoch": 0.66, + "grad_norm": 0.747022271156311, + "learning_rate": 2.2164303586321934e-05, + "loss": 0.8732, + "step": 685 + }, + { + "epoch": 0.66, + "grad_norm": 0.6259097456932068, + "learning_rate": 2.2160133444537116e-05, + "loss": 0.9296, + "step": 686 + }, + { + "epoch": 0.66, + "grad_norm": 0.5785236954689026, + "learning_rate": 2.2155963302752294e-05, + "loss": 0.7563, + "step": 687 + }, + { + "epoch": 0.67, + "grad_norm": 0.5860147476196289, + "learning_rate": 2.2151793160967473e-05, + "loss": 0.8044, + "step": 688 + }, + { + "epoch": 0.67, + "grad_norm": 0.649436354637146, + "learning_rate": 2.2147623019182654e-05, + "loss": 0.8192, + "step": 689 + }, + { + "epoch": 0.67, + "grad_norm": 0.47163915634155273, + "learning_rate": 2.2143452877397833e-05, + "loss": 0.7295, + "step": 690 + }, + { + "epoch": 0.67, + "grad_norm": 0.6247364282608032, + "learning_rate": 2.213928273561301e-05, + "loss": 0.8154, + "step": 691 + }, + { + "epoch": 0.67, + "grad_norm": 0.5607298016548157, + "learning_rate": 2.2135112593828193e-05, + "loss": 0.9344, + "step": 692 + }, + { + "epoch": 0.67, + "grad_norm": 0.5823436379432678, + "learning_rate": 2.213094245204337e-05, + "loss": 1.1153, + "step": 693 + }, + { + "epoch": 0.67, + "grad_norm": 0.5933154821395874, + "learning_rate": 2.212677231025855e-05, + "loss": 0.9313, + "step": 694 + }, + { + "epoch": 0.67, + "grad_norm": 0.5515856146812439, + "learning_rate": 2.212260216847373e-05, + "loss": 0.9749, + "step": 695 + }, + { + "epoch": 0.67, + "grad_norm": 0.5496696829795837, + "learning_rate": 2.211843202668891e-05, + "loss": 0.8302, + "step": 696 + }, + { + "epoch": 0.67, + "grad_norm": 0.5689006447792053, + "learning_rate": 2.2114261884904088e-05, + "loss": 0.8322, + "step": 697 + }, + { + "epoch": 0.68, + "grad_norm": 0.649014949798584, + "learning_rate": 2.211009174311927e-05, + "loss": 0.9115, + "step": 698 + }, + { + "epoch": 0.68, + "grad_norm": 0.5588629245758057, + "learning_rate": 2.2105921601334448e-05, + "loss": 0.8576, + "step": 699 + }, + { + "epoch": 0.68, + "grad_norm": 0.5575553178787231, + "learning_rate": 2.2101751459549623e-05, + "loss": 0.7914, + "step": 700 + }, + { + "epoch": 0.68, + "grad_norm": 0.5250290632247925, + "learning_rate": 2.2097581317764805e-05, + "loss": 1.0509, + "step": 701 + }, + { + "epoch": 0.68, + "grad_norm": 0.6008769869804382, + "learning_rate": 2.2093411175979983e-05, + "loss": 0.8869, + "step": 702 + }, + { + "epoch": 0.68, + "grad_norm": 0.6225902438163757, + "learning_rate": 2.208924103419516e-05, + "loss": 0.8695, + "step": 703 + }, + { + "epoch": 0.68, + "grad_norm": 0.5618981122970581, + "learning_rate": 2.2085070892410343e-05, + "loss": 0.8525, + "step": 704 + }, + { + "epoch": 0.68, + "grad_norm": 0.5772456526756287, + "learning_rate": 2.208090075062552e-05, + "loss": 0.8136, + "step": 705 + }, + { + "epoch": 0.68, + "grad_norm": 0.5328142642974854, + "learning_rate": 2.20767306088407e-05, + "loss": 0.8969, + "step": 706 + }, + { + "epoch": 0.68, + "grad_norm": 0.5746198892593384, + "learning_rate": 2.207256046705588e-05, + "loss": 0.7757, + "step": 707 + }, + { + "epoch": 0.69, + "grad_norm": 0.5880505442619324, + "learning_rate": 2.206839032527106e-05, + "loss": 0.7367, + "step": 708 + }, + { + "epoch": 0.69, + "grad_norm": 0.4585578441619873, + "learning_rate": 2.2064220183486238e-05, + "loss": 1.0352, + "step": 709 + }, + { + "epoch": 0.69, + "grad_norm": 0.6201162934303284, + "learning_rate": 2.206005004170142e-05, + "loss": 1.0779, + "step": 710 + }, + { + "epoch": 0.69, + "grad_norm": 0.5138627886772156, + "learning_rate": 2.2055879899916598e-05, + "loss": 0.9233, + "step": 711 + }, + { + "epoch": 0.69, + "grad_norm": 0.7404292225837708, + "learning_rate": 2.2051709758131776e-05, + "loss": 0.8902, + "step": 712 + }, + { + "epoch": 0.69, + "grad_norm": 0.6132736206054688, + "learning_rate": 2.2047539616346958e-05, + "loss": 0.8035, + "step": 713 + }, + { + "epoch": 0.69, + "grad_norm": 0.6409346461296082, + "learning_rate": 2.2043369474562137e-05, + "loss": 0.8229, + "step": 714 + }, + { + "epoch": 0.69, + "grad_norm": 0.50326007604599, + "learning_rate": 2.2039199332777315e-05, + "loss": 0.7009, + "step": 715 + }, + { + "epoch": 0.69, + "grad_norm": 0.6696736812591553, + "learning_rate": 2.2035029190992497e-05, + "loss": 0.9177, + "step": 716 + }, + { + "epoch": 0.69, + "grad_norm": 0.5614985227584839, + "learning_rate": 2.2030859049207675e-05, + "loss": 0.9731, + "step": 717 + }, + { + "epoch": 0.69, + "grad_norm": 0.5333727598190308, + "learning_rate": 2.2026688907422853e-05, + "loss": 0.8823, + "step": 718 + }, + { + "epoch": 0.7, + "grad_norm": 0.5914250016212463, + "learning_rate": 2.2022518765638035e-05, + "loss": 0.8058, + "step": 719 + }, + { + "epoch": 0.7, + "grad_norm": 0.538661777973175, + "learning_rate": 2.2018348623853213e-05, + "loss": 0.7909, + "step": 720 + }, + { + "epoch": 0.7, + "grad_norm": 0.6205071210861206, + "learning_rate": 2.2014178482068392e-05, + "loss": 0.9014, + "step": 721 + }, + { + "epoch": 0.7, + "grad_norm": 0.49626705050468445, + "learning_rate": 2.201000834028357e-05, + "loss": 0.8513, + "step": 722 + }, + { + "epoch": 0.7, + "grad_norm": 0.6232253909111023, + "learning_rate": 2.200583819849875e-05, + "loss": 0.9299, + "step": 723 + }, + { + "epoch": 0.7, + "grad_norm": 0.785442054271698, + "learning_rate": 2.2001668056713927e-05, + "loss": 1.0212, + "step": 724 + }, + { + "epoch": 0.7, + "grad_norm": 0.4810345470905304, + "learning_rate": 2.199749791492911e-05, + "loss": 0.7786, + "step": 725 + }, + { + "epoch": 0.7, + "grad_norm": 0.5013840198516846, + "learning_rate": 2.1993327773144287e-05, + "loss": 0.8908, + "step": 726 + }, + { + "epoch": 0.7, + "grad_norm": 0.4525558352470398, + "learning_rate": 2.1989157631359465e-05, + "loss": 0.6723, + "step": 727 + }, + { + "epoch": 0.7, + "grad_norm": 0.6775151491165161, + "learning_rate": 2.1984987489574647e-05, + "loss": 0.9495, + "step": 728 + }, + { + "epoch": 0.71, + "grad_norm": 0.5883599519729614, + "learning_rate": 2.1980817347789825e-05, + "loss": 0.8502, + "step": 729 + }, + { + "epoch": 0.71, + "grad_norm": 0.6803659796714783, + "learning_rate": 2.1976647206005004e-05, + "loss": 0.9078, + "step": 730 + }, + { + "epoch": 0.71, + "grad_norm": 0.6012017130851746, + "learning_rate": 2.1972477064220185e-05, + "loss": 0.832, + "step": 731 + }, + { + "epoch": 0.71, + "grad_norm": 0.6462345123291016, + "learning_rate": 2.1968306922435364e-05, + "loss": 0.952, + "step": 732 + }, + { + "epoch": 0.71, + "grad_norm": 0.48903709650039673, + "learning_rate": 2.1964136780650542e-05, + "loss": 0.809, + "step": 733 + }, + { + "epoch": 0.71, + "grad_norm": 0.5075723528862, + "learning_rate": 2.1959966638865724e-05, + "loss": 0.7369, + "step": 734 + }, + { + "epoch": 0.71, + "grad_norm": 0.6722694635391235, + "learning_rate": 2.1955796497080902e-05, + "loss": 1.0761, + "step": 735 + }, + { + "epoch": 0.71, + "grad_norm": 0.5381117463111877, + "learning_rate": 2.195162635529608e-05, + "loss": 0.7878, + "step": 736 + }, + { + "epoch": 0.71, + "grad_norm": 0.6301715970039368, + "learning_rate": 2.1947456213511262e-05, + "loss": 0.8359, + "step": 737 + }, + { + "epoch": 0.71, + "grad_norm": 0.530489981174469, + "learning_rate": 2.194328607172644e-05, + "loss": 0.876, + "step": 738 + }, + { + "epoch": 0.72, + "grad_norm": 0.7903013825416565, + "learning_rate": 2.193911592994162e-05, + "loss": 0.9868, + "step": 739 + }, + { + "epoch": 0.72, + "grad_norm": 0.6008397340774536, + "learning_rate": 2.19349457881568e-05, + "loss": 0.8949, + "step": 740 + }, + { + "epoch": 0.72, + "grad_norm": 0.5799695253372192, + "learning_rate": 2.193077564637198e-05, + "loss": 0.8319, + "step": 741 + }, + { + "epoch": 0.72, + "grad_norm": 0.5777300596237183, + "learning_rate": 2.1926605504587157e-05, + "loss": 0.7628, + "step": 742 + }, + { + "epoch": 0.72, + "grad_norm": 0.5359259247779846, + "learning_rate": 2.192243536280234e-05, + "loss": 0.7883, + "step": 743 + }, + { + "epoch": 0.72, + "grad_norm": 0.581076443195343, + "learning_rate": 2.1918265221017514e-05, + "loss": 0.7981, + "step": 744 + }, + { + "epoch": 0.72, + "grad_norm": 0.4617384076118469, + "learning_rate": 2.1914095079232692e-05, + "loss": 0.8314, + "step": 745 + }, + { + "epoch": 0.72, + "grad_norm": 0.7531223297119141, + "learning_rate": 2.1909924937447874e-05, + "loss": 0.9551, + "step": 746 + }, + { + "epoch": 0.72, + "grad_norm": 0.5740370750427246, + "learning_rate": 2.1905754795663052e-05, + "loss": 1.0445, + "step": 747 + }, + { + "epoch": 0.72, + "grad_norm": 0.5920639038085938, + "learning_rate": 2.190158465387823e-05, + "loss": 1.0067, + "step": 748 + }, + { + "epoch": 0.72, + "grad_norm": 0.5956019163131714, + "learning_rate": 2.1897414512093412e-05, + "loss": 0.802, + "step": 749 + }, + { + "epoch": 0.73, + "grad_norm": 0.5910279750823975, + "learning_rate": 2.189324437030859e-05, + "loss": 1.0267, + "step": 750 + }, + { + "epoch": 0.73, + "grad_norm": 0.7019015550613403, + "learning_rate": 2.188907422852377e-05, + "loss": 0.8927, + "step": 751 + }, + { + "epoch": 0.73, + "grad_norm": 0.5063806772232056, + "learning_rate": 2.188490408673895e-05, + "loss": 0.8152, + "step": 752 + }, + { + "epoch": 0.73, + "grad_norm": 0.5696784257888794, + "learning_rate": 2.188073394495413e-05, + "loss": 0.9313, + "step": 753 + }, + { + "epoch": 0.73, + "grad_norm": 0.49107056856155396, + "learning_rate": 2.1876563803169307e-05, + "loss": 0.8598, + "step": 754 + }, + { + "epoch": 0.73, + "grad_norm": 0.5039631724357605, + "learning_rate": 2.187239366138449e-05, + "loss": 0.8232, + "step": 755 + }, + { + "epoch": 0.73, + "grad_norm": 0.5557799339294434, + "learning_rate": 2.1868223519599668e-05, + "loss": 0.849, + "step": 756 + }, + { + "epoch": 0.73, + "grad_norm": 0.5538116693496704, + "learning_rate": 2.1864053377814846e-05, + "loss": 0.7986, + "step": 757 + }, + { + "epoch": 0.73, + "grad_norm": 0.6063938736915588, + "learning_rate": 2.1859883236030028e-05, + "loss": 0.8735, + "step": 758 + }, + { + "epoch": 0.73, + "grad_norm": 0.6202307939529419, + "learning_rate": 2.1855713094245206e-05, + "loss": 0.8838, + "step": 759 + }, + { + "epoch": 0.74, + "grad_norm": 0.5662246942520142, + "learning_rate": 2.1851542952460384e-05, + "loss": 0.9762, + "step": 760 + }, + { + "epoch": 0.74, + "grad_norm": 0.5876421928405762, + "learning_rate": 2.1847372810675566e-05, + "loss": 0.9004, + "step": 761 + }, + { + "epoch": 0.74, + "grad_norm": 0.7205305099487305, + "learning_rate": 2.1843202668890744e-05, + "loss": 0.9327, + "step": 762 + }, + { + "epoch": 0.74, + "grad_norm": 0.6979808211326599, + "learning_rate": 2.1839032527105923e-05, + "loss": 0.7939, + "step": 763 + }, + { + "epoch": 0.74, + "grad_norm": 0.5393663644790649, + "learning_rate": 2.1834862385321104e-05, + "loss": 0.7148, + "step": 764 + }, + { + "epoch": 0.74, + "grad_norm": 0.6258012652397156, + "learning_rate": 2.1830692243536283e-05, + "loss": 0.8201, + "step": 765 + }, + { + "epoch": 0.74, + "grad_norm": 0.65948486328125, + "learning_rate": 2.1826522101751458e-05, + "loss": 0.8427, + "step": 766 + }, + { + "epoch": 0.74, + "grad_norm": 0.599368691444397, + "learning_rate": 2.182235195996664e-05, + "loss": 0.8967, + "step": 767 + }, + { + "epoch": 0.74, + "grad_norm": 0.5437915921211243, + "learning_rate": 2.1818181818181818e-05, + "loss": 0.8612, + "step": 768 + }, + { + "epoch": 0.74, + "grad_norm": 0.5888422131538391, + "learning_rate": 2.1814011676396996e-05, + "loss": 0.9575, + "step": 769 + }, + { + "epoch": 0.75, + "grad_norm": 0.7028768062591553, + "learning_rate": 2.1809841534612178e-05, + "loss": 1.0411, + "step": 770 + }, + { + "epoch": 0.75, + "grad_norm": 0.5757259130477905, + "learning_rate": 2.1805671392827356e-05, + "loss": 0.742, + "step": 771 + }, + { + "epoch": 0.75, + "grad_norm": 0.49988076090812683, + "learning_rate": 2.1801501251042535e-05, + "loss": 0.9038, + "step": 772 + }, + { + "epoch": 0.75, + "grad_norm": 0.5561165809631348, + "learning_rate": 2.1797331109257716e-05, + "loss": 0.9435, + "step": 773 + }, + { + "epoch": 0.75, + "grad_norm": 0.49761679768562317, + "learning_rate": 2.1793160967472895e-05, + "loss": 0.9007, + "step": 774 + }, + { + "epoch": 0.75, + "grad_norm": 0.7481729388237, + "learning_rate": 2.1788990825688073e-05, + "loss": 0.821, + "step": 775 + }, + { + "epoch": 0.75, + "grad_norm": 0.6466510891914368, + "learning_rate": 2.1784820683903255e-05, + "loss": 0.8239, + "step": 776 + }, + { + "epoch": 0.75, + "grad_norm": 0.6049795150756836, + "learning_rate": 2.1780650542118433e-05, + "loss": 0.9779, + "step": 777 + }, + { + "epoch": 0.75, + "grad_norm": 0.6099448204040527, + "learning_rate": 2.177648040033361e-05, + "loss": 0.8646, + "step": 778 + }, + { + "epoch": 0.75, + "grad_norm": 0.5549317002296448, + "learning_rate": 2.1772310258548793e-05, + "loss": 1.1276, + "step": 779 + }, + { + "epoch": 0.75, + "grad_norm": 0.7503557801246643, + "learning_rate": 2.176814011676397e-05, + "loss": 1.1488, + "step": 780 + }, + { + "epoch": 0.76, + "grad_norm": 0.5463963747024536, + "learning_rate": 2.176396997497915e-05, + "loss": 0.9274, + "step": 781 + }, + { + "epoch": 0.76, + "grad_norm": 0.6400941610336304, + "learning_rate": 2.175979983319433e-05, + "loss": 0.872, + "step": 782 + }, + { + "epoch": 0.76, + "grad_norm": 0.6405242085456848, + "learning_rate": 2.175562969140951e-05, + "loss": 0.9224, + "step": 783 + }, + { + "epoch": 0.76, + "grad_norm": 0.5844632387161255, + "learning_rate": 2.1751459549624688e-05, + "loss": 1.0224, + "step": 784 + }, + { + "epoch": 0.76, + "grad_norm": 0.590813159942627, + "learning_rate": 2.174728940783987e-05, + "loss": 0.8565, + "step": 785 + }, + { + "epoch": 0.76, + "grad_norm": 0.5443763136863708, + "learning_rate": 2.1743119266055048e-05, + "loss": 1.0795, + "step": 786 + }, + { + "epoch": 0.76, + "grad_norm": 0.4637141227722168, + "learning_rate": 2.1738949124270227e-05, + "loss": 0.7809, + "step": 787 + }, + { + "epoch": 0.76, + "grad_norm": 0.590656578540802, + "learning_rate": 2.1734778982485405e-05, + "loss": 0.8413, + "step": 788 + }, + { + "epoch": 0.76, + "grad_norm": 0.547820508480072, + "learning_rate": 2.1730608840700583e-05, + "loss": 0.8251, + "step": 789 + }, + { + "epoch": 0.76, + "grad_norm": 0.599664032459259, + "learning_rate": 2.172643869891576e-05, + "loss": 0.8709, + "step": 790 + }, + { + "epoch": 0.77, + "grad_norm": 0.5393940210342407, + "learning_rate": 2.1722268557130943e-05, + "loss": 0.8621, + "step": 791 + }, + { + "epoch": 0.77, + "grad_norm": 0.5228292346000671, + "learning_rate": 2.1718098415346122e-05, + "loss": 0.9079, + "step": 792 + }, + { + "epoch": 0.77, + "grad_norm": 0.5838654041290283, + "learning_rate": 2.17139282735613e-05, + "loss": 1.0129, + "step": 793 + }, + { + "epoch": 0.77, + "grad_norm": 0.6099779605865479, + "learning_rate": 2.1709758131776482e-05, + "loss": 1.08, + "step": 794 + }, + { + "epoch": 0.77, + "grad_norm": 0.5455557703971863, + "learning_rate": 2.170558798999166e-05, + "loss": 0.7818, + "step": 795 + }, + { + "epoch": 0.77, + "grad_norm": 0.5486708283424377, + "learning_rate": 2.170141784820684e-05, + "loss": 0.8476, + "step": 796 + }, + { + "epoch": 0.77, + "grad_norm": 0.6146864891052246, + "learning_rate": 2.169724770642202e-05, + "loss": 1.0527, + "step": 797 + }, + { + "epoch": 0.77, + "grad_norm": 0.595084547996521, + "learning_rate": 2.16930775646372e-05, + "loss": 0.8871, + "step": 798 + }, + { + "epoch": 0.77, + "grad_norm": 0.6208755373954773, + "learning_rate": 2.1688907422852377e-05, + "loss": 0.7578, + "step": 799 + }, + { + "epoch": 0.77, + "grad_norm": 0.5915758609771729, + "learning_rate": 2.168473728106756e-05, + "loss": 0.8149, + "step": 800 + }, + { + "epoch": 0.78, + "grad_norm": 0.5822041630744934, + "learning_rate": 2.1680567139282737e-05, + "loss": 0.9841, + "step": 801 + }, + { + "epoch": 0.78, + "grad_norm": 0.6033816337585449, + "learning_rate": 2.1676396997497915e-05, + "loss": 1.0011, + "step": 802 + }, + { + "epoch": 0.78, + "grad_norm": 0.5845529437065125, + "learning_rate": 2.1672226855713097e-05, + "loss": 0.7956, + "step": 803 + }, + { + "epoch": 0.78, + "grad_norm": 0.5239971280097961, + "learning_rate": 2.1668056713928275e-05, + "loss": 1.0989, + "step": 804 + }, + { + "epoch": 0.78, + "grad_norm": 0.46358561515808105, + "learning_rate": 2.1663886572143454e-05, + "loss": 0.7723, + "step": 805 + }, + { + "epoch": 0.78, + "grad_norm": 0.552376389503479, + "learning_rate": 2.1659716430358635e-05, + "loss": 0.909, + "step": 806 + }, + { + "epoch": 0.78, + "grad_norm": 0.7001660466194153, + "learning_rate": 2.1655546288573814e-05, + "loss": 0.859, + "step": 807 + }, + { + "epoch": 0.78, + "grad_norm": 0.559516429901123, + "learning_rate": 2.1651376146788992e-05, + "loss": 0.8018, + "step": 808 + }, + { + "epoch": 0.78, + "grad_norm": 0.6223310828208923, + "learning_rate": 2.1647206005004174e-05, + "loss": 1.1406, + "step": 809 + }, + { + "epoch": 0.78, + "grad_norm": 0.6775256991386414, + "learning_rate": 2.164303586321935e-05, + "loss": 0.8297, + "step": 810 + }, + { + "epoch": 0.78, + "grad_norm": 0.6415294408798218, + "learning_rate": 2.1638865721434527e-05, + "loss": 0.9237, + "step": 811 + }, + { + "epoch": 0.79, + "grad_norm": 0.5586150884628296, + "learning_rate": 2.163469557964971e-05, + "loss": 0.9489, + "step": 812 + }, + { + "epoch": 0.79, + "grad_norm": 0.636577844619751, + "learning_rate": 2.1630525437864887e-05, + "loss": 0.8318, + "step": 813 + }, + { + "epoch": 0.79, + "grad_norm": 0.45538875460624695, + "learning_rate": 2.1626355296080066e-05, + "loss": 0.9252, + "step": 814 + }, + { + "epoch": 0.79, + "grad_norm": 0.665709912776947, + "learning_rate": 2.1622185154295247e-05, + "loss": 1.0308, + "step": 815 + }, + { + "epoch": 0.79, + "grad_norm": 0.6243925094604492, + "learning_rate": 2.1618015012510426e-05, + "loss": 0.957, + "step": 816 + }, + { + "epoch": 0.79, + "grad_norm": 0.5440744757652283, + "learning_rate": 2.1613844870725604e-05, + "loss": 0.6864, + "step": 817 + }, + { + "epoch": 0.79, + "grad_norm": 0.5600653886795044, + "learning_rate": 2.1609674728940786e-05, + "loss": 0.9224, + "step": 818 + }, + { + "epoch": 0.79, + "grad_norm": 0.6849504709243774, + "learning_rate": 2.1605504587155964e-05, + "loss": 0.7331, + "step": 819 + }, + { + "epoch": 0.79, + "grad_norm": 0.5207381844520569, + "learning_rate": 2.1601334445371142e-05, + "loss": 0.9516, + "step": 820 + }, + { + "epoch": 0.79, + "grad_norm": 0.620189368724823, + "learning_rate": 2.1597164303586324e-05, + "loss": 0.9529, + "step": 821 + }, + { + "epoch": 0.8, + "grad_norm": 0.7098662853240967, + "learning_rate": 2.1592994161801502e-05, + "loss": 0.8864, + "step": 822 + }, + { + "epoch": 0.8, + "grad_norm": 0.6852023601531982, + "learning_rate": 2.158882402001668e-05, + "loss": 0.9509, + "step": 823 + }, + { + "epoch": 0.8, + "grad_norm": 0.6853574514389038, + "learning_rate": 2.1584653878231863e-05, + "loss": 0.8167, + "step": 824 + }, + { + "epoch": 0.8, + "grad_norm": 0.6262841820716858, + "learning_rate": 2.158048373644704e-05, + "loss": 1.0232, + "step": 825 + }, + { + "epoch": 0.8, + "grad_norm": 0.5169112682342529, + "learning_rate": 2.157631359466222e-05, + "loss": 0.7823, + "step": 826 + }, + { + "epoch": 0.8, + "grad_norm": 0.5721169114112854, + "learning_rate": 2.15721434528774e-05, + "loss": 0.8598, + "step": 827 + }, + { + "epoch": 0.8, + "grad_norm": 0.5338114500045776, + "learning_rate": 2.156797331109258e-05, + "loss": 0.9386, + "step": 828 + }, + { + "epoch": 0.8, + "grad_norm": 0.7023168802261353, + "learning_rate": 2.1563803169307758e-05, + "loss": 0.8129, + "step": 829 + }, + { + "epoch": 0.8, + "grad_norm": 0.5225779414176941, + "learning_rate": 2.155963302752294e-05, + "loss": 0.7809, + "step": 830 + }, + { + "epoch": 0.8, + "grad_norm": 0.5756195187568665, + "learning_rate": 2.1555462885738118e-05, + "loss": 0.9672, + "step": 831 + }, + { + "epoch": 0.81, + "grad_norm": 0.5550948977470398, + "learning_rate": 2.1551292743953293e-05, + "loss": 0.9578, + "step": 832 + }, + { + "epoch": 0.81, + "grad_norm": 0.7717121243476868, + "learning_rate": 2.1547122602168474e-05, + "loss": 1.0601, + "step": 833 + }, + { + "epoch": 0.81, + "grad_norm": 0.5827890634536743, + "learning_rate": 2.1542952460383653e-05, + "loss": 0.8729, + "step": 834 + }, + { + "epoch": 0.81, + "grad_norm": 0.6383093595504761, + "learning_rate": 2.153878231859883e-05, + "loss": 0.9203, + "step": 835 + }, + { + "epoch": 0.81, + "grad_norm": 0.5546723008155823, + "learning_rate": 2.1534612176814013e-05, + "loss": 0.737, + "step": 836 + }, + { + "epoch": 0.81, + "grad_norm": 0.7399674654006958, + "learning_rate": 2.153044203502919e-05, + "loss": 0.8338, + "step": 837 + }, + { + "epoch": 0.81, + "grad_norm": 0.5958274602890015, + "learning_rate": 2.152627189324437e-05, + "loss": 1.0266, + "step": 838 + }, + { + "epoch": 0.81, + "grad_norm": 0.5275865197181702, + "learning_rate": 2.152210175145955e-05, + "loss": 1.0345, + "step": 839 + }, + { + "epoch": 0.81, + "grad_norm": 0.7005592584609985, + "learning_rate": 2.151793160967473e-05, + "loss": 1.0737, + "step": 840 + }, + { + "epoch": 0.81, + "grad_norm": 0.6084327697753906, + "learning_rate": 2.1513761467889908e-05, + "loss": 0.866, + "step": 841 + }, + { + "epoch": 0.81, + "grad_norm": 0.4605668783187866, + "learning_rate": 2.150959132610509e-05, + "loss": 0.8197, + "step": 842 + }, + { + "epoch": 0.82, + "grad_norm": 0.5768406987190247, + "learning_rate": 2.1505421184320268e-05, + "loss": 0.8119, + "step": 843 + }, + { + "epoch": 0.82, + "grad_norm": 0.6033014059066772, + "learning_rate": 2.1501251042535446e-05, + "loss": 0.8886, + "step": 844 + }, + { + "epoch": 0.82, + "grad_norm": 0.5842892527580261, + "learning_rate": 2.1497080900750628e-05, + "loss": 0.866, + "step": 845 + }, + { + "epoch": 0.82, + "grad_norm": 0.5411765575408936, + "learning_rate": 2.1492910758965806e-05, + "loss": 1.0727, + "step": 846 + }, + { + "epoch": 0.82, + "grad_norm": 0.5820788145065308, + "learning_rate": 2.1488740617180985e-05, + "loss": 0.8223, + "step": 847 + }, + { + "epoch": 0.82, + "grad_norm": 0.6782400608062744, + "learning_rate": 2.1484570475396166e-05, + "loss": 0.8505, + "step": 848 + }, + { + "epoch": 0.82, + "grad_norm": 0.5496117472648621, + "learning_rate": 2.1480400333611345e-05, + "loss": 0.9928, + "step": 849 + }, + { + "epoch": 0.82, + "grad_norm": 0.49416661262512207, + "learning_rate": 2.1476230191826523e-05, + "loss": 0.8703, + "step": 850 + }, + { + "epoch": 0.82, + "grad_norm": 0.705323338508606, + "learning_rate": 2.1472060050041705e-05, + "loss": 0.8951, + "step": 851 + }, + { + "epoch": 0.82, + "grad_norm": 0.5549046397209167, + "learning_rate": 2.1467889908256883e-05, + "loss": 0.8651, + "step": 852 + }, + { + "epoch": 0.83, + "grad_norm": 0.578004777431488, + "learning_rate": 2.146371976647206e-05, + "loss": 0.9062, + "step": 853 + }, + { + "epoch": 0.83, + "grad_norm": 0.5116678476333618, + "learning_rate": 2.145954962468724e-05, + "loss": 0.7609, + "step": 854 + }, + { + "epoch": 0.83, + "grad_norm": 0.6407992243766785, + "learning_rate": 2.1455379482902418e-05, + "loss": 0.7822, + "step": 855 + }, + { + "epoch": 0.83, + "grad_norm": 0.43083640933036804, + "learning_rate": 2.1451209341117597e-05, + "loss": 0.9216, + "step": 856 + }, + { + "epoch": 0.83, + "grad_norm": 0.5778592824935913, + "learning_rate": 2.1447039199332778e-05, + "loss": 0.8922, + "step": 857 + }, + { + "epoch": 0.83, + "grad_norm": 0.5170813202857971, + "learning_rate": 2.1442869057547957e-05, + "loss": 0.8936, + "step": 858 + }, + { + "epoch": 0.83, + "grad_norm": 0.6142869591712952, + "learning_rate": 2.1438698915763135e-05, + "loss": 0.9974, + "step": 859 + }, + { + "epoch": 0.83, + "grad_norm": 0.5570237040519714, + "learning_rate": 2.1434528773978317e-05, + "loss": 0.9197, + "step": 860 + }, + { + "epoch": 0.83, + "grad_norm": 0.5948598980903625, + "learning_rate": 2.1430358632193495e-05, + "loss": 0.8976, + "step": 861 + }, + { + "epoch": 0.83, + "grad_norm": 0.6039432287216187, + "learning_rate": 2.1426188490408673e-05, + "loss": 0.9316, + "step": 862 + }, + { + "epoch": 0.84, + "grad_norm": 0.6410199403762817, + "learning_rate": 2.1422018348623855e-05, + "loss": 0.8937, + "step": 863 + }, + { + "epoch": 0.84, + "grad_norm": 0.5892984867095947, + "learning_rate": 2.1417848206839033e-05, + "loss": 0.9107, + "step": 864 + }, + { + "epoch": 0.84, + "grad_norm": 0.522746205329895, + "learning_rate": 2.1413678065054212e-05, + "loss": 0.8869, + "step": 865 + }, + { + "epoch": 0.84, + "grad_norm": 0.4356790781021118, + "learning_rate": 2.1409507923269394e-05, + "loss": 0.7191, + "step": 866 + }, + { + "epoch": 0.84, + "grad_norm": 0.6305416822433472, + "learning_rate": 2.1405337781484572e-05, + "loss": 0.8072, + "step": 867 + }, + { + "epoch": 0.84, + "grad_norm": 0.5444215536117554, + "learning_rate": 2.140116763969975e-05, + "loss": 0.8769, + "step": 868 + }, + { + "epoch": 0.84, + "grad_norm": 0.6264482736587524, + "learning_rate": 2.1396997497914932e-05, + "loss": 0.9398, + "step": 869 + }, + { + "epoch": 0.84, + "grad_norm": 0.6615257859230042, + "learning_rate": 2.139282735613011e-05, + "loss": 0.9544, + "step": 870 + }, + { + "epoch": 0.84, + "grad_norm": 0.6746616363525391, + "learning_rate": 2.138865721434529e-05, + "loss": 0.7779, + "step": 871 + }, + { + "epoch": 0.84, + "grad_norm": 0.5172351598739624, + "learning_rate": 2.138448707256047e-05, + "loss": 0.8493, + "step": 872 + }, + { + "epoch": 0.84, + "grad_norm": 0.7021863460540771, + "learning_rate": 2.138031693077565e-05, + "loss": 0.8143, + "step": 873 + }, + { + "epoch": 0.85, + "grad_norm": 0.5372699499130249, + "learning_rate": 2.1376146788990827e-05, + "loss": 0.9652, + "step": 874 + }, + { + "epoch": 0.85, + "grad_norm": 0.6045578718185425, + "learning_rate": 2.137197664720601e-05, + "loss": 0.8357, + "step": 875 + }, + { + "epoch": 0.85, + "grad_norm": 0.5127382874488831, + "learning_rate": 2.1367806505421184e-05, + "loss": 0.8972, + "step": 876 + }, + { + "epoch": 0.85, + "grad_norm": 0.5193771123886108, + "learning_rate": 2.1363636363636362e-05, + "loss": 0.8986, + "step": 877 + }, + { + "epoch": 0.85, + "grad_norm": 0.6589102745056152, + "learning_rate": 2.1359466221851544e-05, + "loss": 1.1022, + "step": 878 + }, + { + "epoch": 0.85, + "grad_norm": 0.5755956172943115, + "learning_rate": 2.1355296080066722e-05, + "loss": 0.9281, + "step": 879 + }, + { + "epoch": 0.85, + "grad_norm": 0.6168652176856995, + "learning_rate": 2.13511259382819e-05, + "loss": 0.7813, + "step": 880 + }, + { + "epoch": 0.85, + "grad_norm": 0.6365056037902832, + "learning_rate": 2.1346955796497082e-05, + "loss": 0.9497, + "step": 881 + }, + { + "epoch": 0.85, + "grad_norm": 0.6977638602256775, + "learning_rate": 2.134278565471226e-05, + "loss": 0.8278, + "step": 882 + }, + { + "epoch": 0.85, + "grad_norm": 0.5144352912902832, + "learning_rate": 2.133861551292744e-05, + "loss": 0.7742, + "step": 883 + }, + { + "epoch": 0.86, + "grad_norm": 0.48561322689056396, + "learning_rate": 2.133444537114262e-05, + "loss": 0.8695, + "step": 884 + }, + { + "epoch": 0.86, + "grad_norm": 0.5789933204650879, + "learning_rate": 2.13302752293578e-05, + "loss": 1.0863, + "step": 885 + }, + { + "epoch": 0.86, + "grad_norm": 0.6638254523277283, + "learning_rate": 2.1326105087572977e-05, + "loss": 0.9761, + "step": 886 + }, + { + "epoch": 0.86, + "grad_norm": 0.5530070662498474, + "learning_rate": 2.132193494578816e-05, + "loss": 0.9445, + "step": 887 + }, + { + "epoch": 0.86, + "grad_norm": 0.5589281916618347, + "learning_rate": 2.1317764804003337e-05, + "loss": 0.7229, + "step": 888 + }, + { + "epoch": 0.86, + "grad_norm": 0.5919783711433411, + "learning_rate": 2.1313594662218516e-05, + "loss": 0.8661, + "step": 889 + }, + { + "epoch": 0.86, + "grad_norm": 0.6422617435455322, + "learning_rate": 2.1309424520433697e-05, + "loss": 0.8288, + "step": 890 + }, + { + "epoch": 0.86, + "grad_norm": 0.5737969279289246, + "learning_rate": 2.1305254378648876e-05, + "loss": 0.9701, + "step": 891 + }, + { + "epoch": 0.86, + "grad_norm": 0.6877581477165222, + "learning_rate": 2.1301084236864054e-05, + "loss": 1.0402, + "step": 892 + }, + { + "epoch": 0.86, + "grad_norm": 0.5658195614814758, + "learning_rate": 2.1296914095079236e-05, + "loss": 0.9674, + "step": 893 + }, + { + "epoch": 0.87, + "grad_norm": 0.5865910649299622, + "learning_rate": 2.1292743953294414e-05, + "loss": 0.9271, + "step": 894 + }, + { + "epoch": 0.87, + "grad_norm": 0.5753705501556396, + "learning_rate": 2.1288573811509593e-05, + "loss": 0.7879, + "step": 895 + }, + { + "epoch": 0.87, + "grad_norm": 0.5567763447761536, + "learning_rate": 2.1284403669724774e-05, + "loss": 0.824, + "step": 896 + }, + { + "epoch": 0.87, + "grad_norm": 0.5334809422492981, + "learning_rate": 2.1280233527939953e-05, + "loss": 1.0146, + "step": 897 + }, + { + "epoch": 0.87, + "grad_norm": 0.6546300649642944, + "learning_rate": 2.1276063386155128e-05, + "loss": 0.8581, + "step": 898 + }, + { + "epoch": 0.87, + "grad_norm": 0.6981760263442993, + "learning_rate": 2.127189324437031e-05, + "loss": 0.8904, + "step": 899 + }, + { + "epoch": 0.87, + "grad_norm": 0.6366367340087891, + "learning_rate": 2.1267723102585488e-05, + "loss": 1.042, + "step": 900 + }, + { + "epoch": 0.87, + "eval_loss": 0.8830714225769043, + "eval_runtime": 862.8178, + "eval_samples_per_second": 4.791, + "eval_steps_per_second": 0.599, + "step": 900 + }, + { + "epoch": 0.87, + "grad_norm": 0.6825015544891357, + "learning_rate": 2.1263552960800666e-05, + "loss": 0.9197, + "step": 901 + }, + { + "epoch": 0.87, + "grad_norm": 0.5512802004814148, + "learning_rate": 2.1259382819015848e-05, + "loss": 0.7511, + "step": 902 + }, + { + "epoch": 0.87, + "grad_norm": 0.4855497181415558, + "learning_rate": 2.1255212677231026e-05, + "loss": 0.8407, + "step": 903 + }, + { + "epoch": 0.87, + "grad_norm": 0.5486828088760376, + "learning_rate": 2.1251042535446204e-05, + "loss": 0.9195, + "step": 904 + }, + { + "epoch": 0.88, + "grad_norm": 0.6304187178611755, + "learning_rate": 2.1246872393661386e-05, + "loss": 0.8898, + "step": 905 + }, + { + "epoch": 0.88, + "grad_norm": 0.7274760603904724, + "learning_rate": 2.1242702251876564e-05, + "loss": 1.0217, + "step": 906 + }, + { + "epoch": 0.88, + "grad_norm": 0.7110854387283325, + "learning_rate": 2.1238532110091743e-05, + "loss": 0.9543, + "step": 907 + }, + { + "epoch": 0.88, + "grad_norm": 0.6092537045478821, + "learning_rate": 2.1234361968306925e-05, + "loss": 0.9396, + "step": 908 + }, + { + "epoch": 0.88, + "grad_norm": 0.5700632929801941, + "learning_rate": 2.1230191826522103e-05, + "loss": 0.8864, + "step": 909 + }, + { + "epoch": 0.88, + "grad_norm": 0.5591063499450684, + "learning_rate": 2.122602168473728e-05, + "loss": 0.7958, + "step": 910 + }, + { + "epoch": 0.88, + "grad_norm": 0.6305240988731384, + "learning_rate": 2.1221851542952463e-05, + "loss": 0.9338, + "step": 911 + }, + { + "epoch": 0.88, + "grad_norm": 0.6336666941642761, + "learning_rate": 2.121768140116764e-05, + "loss": 0.9299, + "step": 912 + }, + { + "epoch": 0.88, + "grad_norm": 0.6448137164115906, + "learning_rate": 2.121351125938282e-05, + "loss": 0.829, + "step": 913 + }, + { + "epoch": 0.88, + "grad_norm": 0.6578680872917175, + "learning_rate": 2.1209341117598e-05, + "loss": 0.9527, + "step": 914 + }, + { + "epoch": 0.89, + "grad_norm": 0.5350990891456604, + "learning_rate": 2.120517097581318e-05, + "loss": 0.8542, + "step": 915 + }, + { + "epoch": 0.89, + "grad_norm": 0.5867906212806702, + "learning_rate": 2.1201000834028358e-05, + "loss": 0.8699, + "step": 916 + }, + { + "epoch": 0.89, + "grad_norm": 0.60890132188797, + "learning_rate": 2.119683069224354e-05, + "loss": 0.9671, + "step": 917 + }, + { + "epoch": 0.89, + "grad_norm": 0.5521153807640076, + "learning_rate": 2.1192660550458718e-05, + "loss": 0.8587, + "step": 918 + }, + { + "epoch": 0.89, + "grad_norm": 0.5705695748329163, + "learning_rate": 2.1188490408673896e-05, + "loss": 1.0039, + "step": 919 + }, + { + "epoch": 0.89, + "grad_norm": 0.6579911708831787, + "learning_rate": 2.1184320266889075e-05, + "loss": 0.9246, + "step": 920 + }, + { + "epoch": 0.89, + "grad_norm": 0.6417614817619324, + "learning_rate": 2.1180150125104253e-05, + "loss": 1.1029, + "step": 921 + }, + { + "epoch": 0.89, + "grad_norm": 0.545704185962677, + "learning_rate": 2.117597998331943e-05, + "loss": 1.0068, + "step": 922 + }, + { + "epoch": 0.89, + "grad_norm": 0.6058927774429321, + "learning_rate": 2.1171809841534613e-05, + "loss": 0.9365, + "step": 923 + }, + { + "epoch": 0.89, + "grad_norm": 0.5710421800613403, + "learning_rate": 2.116763969974979e-05, + "loss": 0.9815, + "step": 924 + }, + { + "epoch": 0.9, + "grad_norm": 0.6160697340965271, + "learning_rate": 2.116346955796497e-05, + "loss": 0.7141, + "step": 925 + }, + { + "epoch": 0.9, + "grad_norm": 0.6258829832077026, + "learning_rate": 2.115929941618015e-05, + "loss": 0.8538, + "step": 926 + }, + { + "epoch": 0.9, + "grad_norm": 0.5760678052902222, + "learning_rate": 2.115512927439533e-05, + "loss": 0.9053, + "step": 927 + }, + { + "epoch": 0.9, + "grad_norm": 0.5881115794181824, + "learning_rate": 2.115095913261051e-05, + "loss": 0.8154, + "step": 928 + }, + { + "epoch": 0.9, + "grad_norm": 0.7064908146858215, + "learning_rate": 2.114678899082569e-05, + "loss": 1.121, + "step": 929 + }, + { + "epoch": 0.9, + "grad_norm": 0.6081480979919434, + "learning_rate": 2.114261884904087e-05, + "loss": 0.8767, + "step": 930 + }, + { + "epoch": 0.9, + "grad_norm": 0.6155034899711609, + "learning_rate": 2.1138448707256047e-05, + "loss": 0.8082, + "step": 931 + }, + { + "epoch": 0.9, + "grad_norm": 0.5562847852706909, + "learning_rate": 2.113427856547123e-05, + "loss": 0.928, + "step": 932 + }, + { + "epoch": 0.9, + "grad_norm": 0.5407242178916931, + "learning_rate": 2.1130108423686407e-05, + "loss": 0.8598, + "step": 933 + }, + { + "epoch": 0.9, + "grad_norm": 0.5555698275566101, + "learning_rate": 2.1125938281901585e-05, + "loss": 0.9043, + "step": 934 + }, + { + "epoch": 0.9, + "grad_norm": 0.5511791110038757, + "learning_rate": 2.1121768140116767e-05, + "loss": 0.7669, + "step": 935 + }, + { + "epoch": 0.91, + "grad_norm": 0.5988614559173584, + "learning_rate": 2.1117597998331945e-05, + "loss": 0.7804, + "step": 936 + }, + { + "epoch": 0.91, + "grad_norm": 0.5825805068016052, + "learning_rate": 2.1113427856547124e-05, + "loss": 1.0373, + "step": 937 + }, + { + "epoch": 0.91, + "grad_norm": 0.5571190118789673, + "learning_rate": 2.1109257714762305e-05, + "loss": 0.7601, + "step": 938 + }, + { + "epoch": 0.91, + "grad_norm": 0.6289721727371216, + "learning_rate": 2.1105087572977484e-05, + "loss": 0.8711, + "step": 939 + }, + { + "epoch": 0.91, + "grad_norm": 0.5279461741447449, + "learning_rate": 2.1100917431192662e-05, + "loss": 0.8306, + "step": 940 + }, + { + "epoch": 0.91, + "grad_norm": 0.6681569814682007, + "learning_rate": 2.1096747289407844e-05, + "loss": 0.7939, + "step": 941 + }, + { + "epoch": 0.91, + "grad_norm": 0.607559323310852, + "learning_rate": 2.109257714762302e-05, + "loss": 0.7952, + "step": 942 + }, + { + "epoch": 0.91, + "grad_norm": 0.604401171207428, + "learning_rate": 2.1088407005838197e-05, + "loss": 0.8705, + "step": 943 + }, + { + "epoch": 0.91, + "grad_norm": 0.5533188581466675, + "learning_rate": 2.108423686405338e-05, + "loss": 0.9798, + "step": 944 + }, + { + "epoch": 0.91, + "grad_norm": 0.6893919706344604, + "learning_rate": 2.1080066722268557e-05, + "loss": 0.8903, + "step": 945 + }, + { + "epoch": 0.92, + "grad_norm": 0.5956358909606934, + "learning_rate": 2.1075896580483735e-05, + "loss": 0.6795, + "step": 946 + }, + { + "epoch": 0.92, + "grad_norm": 0.6651936769485474, + "learning_rate": 2.1071726438698917e-05, + "loss": 0.8849, + "step": 947 + }, + { + "epoch": 0.92, + "grad_norm": 0.6085134744644165, + "learning_rate": 2.1067556296914095e-05, + "loss": 0.872, + "step": 948 + }, + { + "epoch": 0.92, + "grad_norm": 0.5838655233383179, + "learning_rate": 2.1063386155129274e-05, + "loss": 0.8272, + "step": 949 + }, + { + "epoch": 0.92, + "grad_norm": 0.5081591010093689, + "learning_rate": 2.1059216013344456e-05, + "loss": 0.8526, + "step": 950 + }, + { + "epoch": 0.92, + "grad_norm": 0.6801421046257019, + "learning_rate": 2.1055045871559634e-05, + "loss": 0.9323, + "step": 951 + }, + { + "epoch": 0.92, + "grad_norm": 0.7515276670455933, + "learning_rate": 2.1050875729774812e-05, + "loss": 0.9074, + "step": 952 + }, + { + "epoch": 0.92, + "grad_norm": 0.7445185780525208, + "learning_rate": 2.1046705587989994e-05, + "loss": 0.8717, + "step": 953 + }, + { + "epoch": 0.92, + "grad_norm": 0.6252485513687134, + "learning_rate": 2.1042535446205172e-05, + "loss": 0.9506, + "step": 954 + }, + { + "epoch": 0.92, + "grad_norm": 0.6389560103416443, + "learning_rate": 2.103836530442035e-05, + "loss": 0.9697, + "step": 955 + }, + { + "epoch": 0.93, + "grad_norm": 0.6757925748825073, + "learning_rate": 2.1034195162635532e-05, + "loss": 0.8902, + "step": 956 + }, + { + "epoch": 0.93, + "grad_norm": 0.6048180460929871, + "learning_rate": 2.103002502085071e-05, + "loss": 0.8024, + "step": 957 + }, + { + "epoch": 0.93, + "grad_norm": 0.6076287031173706, + "learning_rate": 2.102585487906589e-05, + "loss": 0.9101, + "step": 958 + }, + { + "epoch": 0.93, + "grad_norm": 0.5857638120651245, + "learning_rate": 2.102168473728107e-05, + "loss": 0.9027, + "step": 959 + }, + { + "epoch": 0.93, + "grad_norm": 0.6412017345428467, + "learning_rate": 2.101751459549625e-05, + "loss": 0.8311, + "step": 960 + }, + { + "epoch": 0.93, + "grad_norm": 0.7110289335250854, + "learning_rate": 2.1013344453711427e-05, + "loss": 0.9685, + "step": 961 + }, + { + "epoch": 0.93, + "grad_norm": 0.6643854379653931, + "learning_rate": 2.100917431192661e-05, + "loss": 0.9426, + "step": 962 + }, + { + "epoch": 0.93, + "grad_norm": 0.5891174077987671, + "learning_rate": 2.1005004170141788e-05, + "loss": 0.8407, + "step": 963 + }, + { + "epoch": 0.93, + "grad_norm": 0.5662002563476562, + "learning_rate": 2.1000834028356962e-05, + "loss": 0.8718, + "step": 964 + }, + { + "epoch": 0.93, + "grad_norm": 0.568077802658081, + "learning_rate": 2.0996663886572144e-05, + "loss": 1.0848, + "step": 965 + }, + { + "epoch": 0.93, + "grad_norm": 0.49765461683273315, + "learning_rate": 2.0992493744787323e-05, + "loss": 0.8852, + "step": 966 + }, + { + "epoch": 0.94, + "grad_norm": 0.6114347577095032, + "learning_rate": 2.09883236030025e-05, + "loss": 0.766, + "step": 967 + }, + { + "epoch": 0.94, + "grad_norm": 0.6215475797653198, + "learning_rate": 2.0984153461217683e-05, + "loss": 0.7762, + "step": 968 + }, + { + "epoch": 0.94, + "grad_norm": 0.6060361862182617, + "learning_rate": 2.097998331943286e-05, + "loss": 0.7982, + "step": 969 + }, + { + "epoch": 0.94, + "grad_norm": 0.5534574389457703, + "learning_rate": 2.097581317764804e-05, + "loss": 0.8851, + "step": 970 + }, + { + "epoch": 0.94, + "grad_norm": 0.6815426349639893, + "learning_rate": 2.097164303586322e-05, + "loss": 0.897, + "step": 971 + }, + { + "epoch": 0.94, + "grad_norm": 0.5542236566543579, + "learning_rate": 2.09674728940784e-05, + "loss": 0.7299, + "step": 972 + }, + { + "epoch": 0.94, + "grad_norm": 0.6298174858093262, + "learning_rate": 2.0963302752293578e-05, + "loss": 0.8628, + "step": 973 + }, + { + "epoch": 0.94, + "grad_norm": 0.6095554828643799, + "learning_rate": 2.095913261050876e-05, + "loss": 0.9364, + "step": 974 + }, + { + "epoch": 0.94, + "grad_norm": 0.663392186164856, + "learning_rate": 2.0954962468723938e-05, + "loss": 0.7948, + "step": 975 + }, + { + "epoch": 0.94, + "grad_norm": 0.7479852437973022, + "learning_rate": 2.0950792326939116e-05, + "loss": 1.0422, + "step": 976 + }, + { + "epoch": 0.95, + "grad_norm": 0.8008063435554504, + "learning_rate": 2.0946622185154298e-05, + "loss": 0.9669, + "step": 977 + }, + { + "epoch": 0.95, + "grad_norm": 0.5739545822143555, + "learning_rate": 2.0942452043369476e-05, + "loss": 0.8224, + "step": 978 + }, + { + "epoch": 0.95, + "grad_norm": 0.6118077039718628, + "learning_rate": 2.0938281901584655e-05, + "loss": 0.8243, + "step": 979 + }, + { + "epoch": 0.95, + "grad_norm": 0.6168279647827148, + "learning_rate": 2.0934111759799836e-05, + "loss": 0.8424, + "step": 980 + }, + { + "epoch": 0.95, + "grad_norm": 0.5821695327758789, + "learning_rate": 2.0929941618015015e-05, + "loss": 0.7802, + "step": 981 + }, + { + "epoch": 0.95, + "grad_norm": 0.5311926603317261, + "learning_rate": 2.0925771476230193e-05, + "loss": 0.7949, + "step": 982 + }, + { + "epoch": 0.95, + "grad_norm": 0.45710837841033936, + "learning_rate": 2.0921601334445375e-05, + "loss": 0.7228, + "step": 983 + }, + { + "epoch": 0.95, + "grad_norm": 0.6200933456420898, + "learning_rate": 2.0917431192660553e-05, + "loss": 0.8434, + "step": 984 + }, + { + "epoch": 0.95, + "grad_norm": 0.5894069075584412, + "learning_rate": 2.091326105087573e-05, + "loss": 0.8232, + "step": 985 + }, + { + "epoch": 0.95, + "grad_norm": 0.7164132595062256, + "learning_rate": 2.090909090909091e-05, + "loss": 0.8089, + "step": 986 + }, + { + "epoch": 0.96, + "grad_norm": 0.5397016406059265, + "learning_rate": 2.0904920767306088e-05, + "loss": 0.9067, + "step": 987 + }, + { + "epoch": 0.96, + "grad_norm": 0.6763659715652466, + "learning_rate": 2.0900750625521266e-05, + "loss": 0.8848, + "step": 988 + }, + { + "epoch": 0.96, + "grad_norm": 0.5573912262916565, + "learning_rate": 2.0896580483736448e-05, + "loss": 0.8415, + "step": 989 + }, + { + "epoch": 0.96, + "grad_norm": 0.5668649673461914, + "learning_rate": 2.0892410341951626e-05, + "loss": 0.8033, + "step": 990 + }, + { + "epoch": 0.96, + "grad_norm": 0.757015585899353, + "learning_rate": 2.0888240200166805e-05, + "loss": 0.9967, + "step": 991 + }, + { + "epoch": 0.96, + "grad_norm": 0.5433859825134277, + "learning_rate": 2.0884070058381987e-05, + "loss": 0.7794, + "step": 992 + }, + { + "epoch": 0.96, + "grad_norm": 0.6306285858154297, + "learning_rate": 2.0879899916597165e-05, + "loss": 1.0346, + "step": 993 + }, + { + "epoch": 0.96, + "grad_norm": 0.6908279657363892, + "learning_rate": 2.0875729774812343e-05, + "loss": 0.8272, + "step": 994 + }, + { + "epoch": 0.96, + "grad_norm": 0.6125917434692383, + "learning_rate": 2.0871559633027525e-05, + "loss": 0.9104, + "step": 995 + }, + { + "epoch": 0.96, + "grad_norm": 0.6357875466346741, + "learning_rate": 2.0867389491242703e-05, + "loss": 0.9316, + "step": 996 + }, + { + "epoch": 0.96, + "grad_norm": 0.6056236028671265, + "learning_rate": 2.086321934945788e-05, + "loss": 0.9911, + "step": 997 + }, + { + "epoch": 0.97, + "grad_norm": 0.6763545870780945, + "learning_rate": 2.0859049207673063e-05, + "loss": 0.9452, + "step": 998 + }, + { + "epoch": 0.97, + "grad_norm": 0.6327380537986755, + "learning_rate": 2.0854879065888242e-05, + "loss": 0.9054, + "step": 999 + }, + { + "epoch": 0.97, + "grad_norm": 0.546445369720459, + "learning_rate": 2.085070892410342e-05, + "loss": 0.9957, + "step": 1000 + }, + { + "epoch": 0.97, + "grad_norm": 0.8656585812568665, + "learning_rate": 2.0846538782318602e-05, + "loss": 0.9211, + "step": 1001 + }, + { + "epoch": 0.97, + "grad_norm": 0.654197096824646, + "learning_rate": 2.084236864053378e-05, + "loss": 0.82, + "step": 1002 + }, + { + "epoch": 0.97, + "grad_norm": 0.6192865371704102, + "learning_rate": 2.083819849874896e-05, + "loss": 0.8685, + "step": 1003 + }, + { + "epoch": 0.97, + "grad_norm": 0.6284681558609009, + "learning_rate": 2.083402835696414e-05, + "loss": 0.8776, + "step": 1004 + }, + { + "epoch": 0.97, + "grad_norm": 0.6316953897476196, + "learning_rate": 2.082985821517932e-05, + "loss": 0.9194, + "step": 1005 + }, + { + "epoch": 0.97, + "grad_norm": 0.5764545202255249, + "learning_rate": 2.0825688073394497e-05, + "loss": 0.8601, + "step": 1006 + }, + { + "epoch": 0.97, + "grad_norm": 0.5890758037567139, + "learning_rate": 2.082151793160968e-05, + "loss": 0.809, + "step": 1007 + }, + { + "epoch": 0.98, + "grad_norm": 0.6850919127464294, + "learning_rate": 2.0817347789824854e-05, + "loss": 0.8478, + "step": 1008 + }, + { + "epoch": 0.98, + "grad_norm": 0.7245317101478577, + "learning_rate": 2.0813177648040032e-05, + "loss": 0.8267, + "step": 1009 + }, + { + "epoch": 0.98, + "grad_norm": 0.757588803768158, + "learning_rate": 2.0809007506255214e-05, + "loss": 0.9832, + "step": 1010 + }, + { + "epoch": 0.98, + "grad_norm": 0.668164849281311, + "learning_rate": 2.0804837364470392e-05, + "loss": 0.9773, + "step": 1011 + }, + { + "epoch": 0.98, + "grad_norm": 0.5351282358169556, + "learning_rate": 2.080066722268557e-05, + "loss": 0.9298, + "step": 1012 + }, + { + "epoch": 0.98, + "grad_norm": 0.7785428166389465, + "learning_rate": 2.0796497080900752e-05, + "loss": 0.9207, + "step": 1013 + }, + { + "epoch": 0.98, + "grad_norm": 0.720317542552948, + "learning_rate": 2.079232693911593e-05, + "loss": 0.9387, + "step": 1014 + }, + { + "epoch": 0.98, + "grad_norm": 0.5072667002677917, + "learning_rate": 2.078815679733111e-05, + "loss": 0.8476, + "step": 1015 + }, + { + "epoch": 0.98, + "grad_norm": 0.6449413895606995, + "learning_rate": 2.078398665554629e-05, + "loss": 0.9777, + "step": 1016 + }, + { + "epoch": 0.98, + "grad_norm": 0.6010368466377258, + "learning_rate": 2.077981651376147e-05, + "loss": 0.9404, + "step": 1017 + }, + { + "epoch": 0.99, + "grad_norm": 0.5824366807937622, + "learning_rate": 2.0775646371976647e-05, + "loss": 0.7077, + "step": 1018 + }, + { + "epoch": 0.99, + "grad_norm": 0.6256161332130432, + "learning_rate": 2.077147623019183e-05, + "loss": 0.839, + "step": 1019 + }, + { + "epoch": 0.99, + "grad_norm": 0.5605003833770752, + "learning_rate": 2.0767306088407007e-05, + "loss": 0.7774, + "step": 1020 + }, + { + "epoch": 0.99, + "grad_norm": 0.5912948846817017, + "learning_rate": 2.0763135946622186e-05, + "loss": 0.9676, + "step": 1021 + }, + { + "epoch": 0.99, + "grad_norm": 0.6197754144668579, + "learning_rate": 2.0758965804837367e-05, + "loss": 0.96, + "step": 1022 + }, + { + "epoch": 0.99, + "grad_norm": 0.5705149173736572, + "learning_rate": 2.0754795663052546e-05, + "loss": 0.8306, + "step": 1023 + }, + { + "epoch": 0.99, + "grad_norm": 0.5278977155685425, + "learning_rate": 2.0750625521267724e-05, + "loss": 0.8197, + "step": 1024 + }, + { + "epoch": 0.99, + "grad_norm": 0.7119956016540527, + "learning_rate": 2.0746455379482906e-05, + "loss": 0.8776, + "step": 1025 + }, + { + "epoch": 0.99, + "grad_norm": 0.6525179743766785, + "learning_rate": 2.0742285237698084e-05, + "loss": 0.806, + "step": 1026 + }, + { + "epoch": 0.99, + "grad_norm": 0.7314040660858154, + "learning_rate": 2.0738115095913262e-05, + "loss": 0.9526, + "step": 1027 + }, + { + "epoch": 0.99, + "grad_norm": 0.6813786029815674, + "learning_rate": 2.0733944954128444e-05, + "loss": 1.0523, + "step": 1028 + }, + { + "epoch": 1.0, + "grad_norm": 0.567846417427063, + "learning_rate": 2.0729774812343622e-05, + "loss": 0.9116, + "step": 1029 + }, + { + "epoch": 1.0, + "grad_norm": 0.7180352210998535, + "learning_rate": 2.0725604670558797e-05, + "loss": 0.9154, + "step": 1030 + }, + { + "epoch": 1.0, + "grad_norm": 0.6313191056251526, + "learning_rate": 2.072143452877398e-05, + "loss": 0.8788, + "step": 1031 + }, + { + "epoch": 1.0, + "grad_norm": 0.6084710359573364, + "learning_rate": 2.0717264386989157e-05, + "loss": 0.9551, + "step": 1032 + }, + { + "epoch": 1.0, + "grad_norm": 0.6431086659431458, + "learning_rate": 2.0713094245204336e-05, + "loss": 0.8891, + "step": 1033 + }, + { + "epoch": 1.0, + "grad_norm": 0.5721556544303894, + "learning_rate": 2.0708924103419518e-05, + "loss": 0.9019, + "step": 1034 + }, + { + "epoch": 1.0, + "grad_norm": 0.5952682495117188, + "learning_rate": 2.0704753961634696e-05, + "loss": 0.7854, + "step": 1035 + }, + { + "epoch": 1.0, + "grad_norm": 0.5619105100631714, + "learning_rate": 2.0700583819849874e-05, + "loss": 0.8724, + "step": 1036 + }, + { + "epoch": 1.0, + "grad_norm": 0.5916528701782227, + "learning_rate": 2.0696413678065056e-05, + "loss": 1.093, + "step": 1037 + }, + { + "epoch": 1.0, + "grad_norm": 0.5164902210235596, + "learning_rate": 2.0692243536280234e-05, + "loss": 0.8057, + "step": 1038 + }, + { + "epoch": 1.01, + "grad_norm": 0.6173957586288452, + "learning_rate": 2.0688073394495413e-05, + "loss": 0.9393, + "step": 1039 + }, + { + "epoch": 1.01, + "grad_norm": 0.6956455707550049, + "learning_rate": 2.0683903252710594e-05, + "loss": 0.9936, + "step": 1040 + }, + { + "epoch": 1.01, + "grad_norm": 0.4645286202430725, + "learning_rate": 2.0679733110925773e-05, + "loss": 0.8469, + "step": 1041 + }, + { + "epoch": 1.01, + "grad_norm": 0.6242707967758179, + "learning_rate": 2.067556296914095e-05, + "loss": 0.9849, + "step": 1042 + }, + { + "epoch": 1.01, + "grad_norm": 0.6373661160469055, + "learning_rate": 2.0671392827356133e-05, + "loss": 0.8917, + "step": 1043 + }, + { + "epoch": 1.01, + "grad_norm": 0.5754541754722595, + "learning_rate": 2.066722268557131e-05, + "loss": 0.9152, + "step": 1044 + }, + { + "epoch": 1.01, + "grad_norm": 0.545246422290802, + "learning_rate": 2.066305254378649e-05, + "loss": 0.8566, + "step": 1045 + }, + { + "epoch": 1.01, + "grad_norm": 0.6818923950195312, + "learning_rate": 2.065888240200167e-05, + "loss": 0.9117, + "step": 1046 + }, + { + "epoch": 1.01, + "grad_norm": 0.6654820442199707, + "learning_rate": 2.065471226021685e-05, + "loss": 0.8918, + "step": 1047 + }, + { + "epoch": 1.01, + "grad_norm": 0.6357213854789734, + "learning_rate": 2.0650542118432028e-05, + "loss": 0.8643, + "step": 1048 + }, + { + "epoch": 1.01, + "grad_norm": 0.5704237818717957, + "learning_rate": 2.064637197664721e-05, + "loss": 0.737, + "step": 1049 + }, + { + "epoch": 1.02, + "grad_norm": 0.5380869507789612, + "learning_rate": 2.0642201834862388e-05, + "loss": 0.929, + "step": 1050 + }, + { + "epoch": 1.02, + "grad_norm": 0.6021774411201477, + "learning_rate": 2.0638031693077566e-05, + "loss": 0.8853, + "step": 1051 + }, + { + "epoch": 1.02, + "grad_norm": 0.6617861390113831, + "learning_rate": 2.0633861551292745e-05, + "loss": 0.8244, + "step": 1052 + }, + { + "epoch": 1.02, + "grad_norm": 0.5337337255477905, + "learning_rate": 2.0629691409507923e-05, + "loss": 0.8465, + "step": 1053 + }, + { + "epoch": 1.02, + "grad_norm": 0.4575750231742859, + "learning_rate": 2.06255212677231e-05, + "loss": 0.713, + "step": 1054 + }, + { + "epoch": 1.02, + "grad_norm": 0.7053964734077454, + "learning_rate": 2.0621351125938283e-05, + "loss": 0.929, + "step": 1055 + }, + { + "epoch": 1.02, + "grad_norm": 0.45893463492393494, + "learning_rate": 2.061718098415346e-05, + "loss": 0.763, + "step": 1056 + }, + { + "epoch": 1.02, + "grad_norm": 0.6719861030578613, + "learning_rate": 2.061301084236864e-05, + "loss": 0.637, + "step": 1057 + }, + { + "epoch": 1.02, + "grad_norm": 0.6584386825561523, + "learning_rate": 2.060884070058382e-05, + "loss": 0.9295, + "step": 1058 + }, + { + "epoch": 1.02, + "grad_norm": 0.6742384433746338, + "learning_rate": 2.0604670558799e-05, + "loss": 0.8576, + "step": 1059 + }, + { + "epoch": 1.03, + "grad_norm": 0.7037996053695679, + "learning_rate": 2.0600500417014178e-05, + "loss": 0.9379, + "step": 1060 + }, + { + "epoch": 1.03, + "grad_norm": 0.6902729272842407, + "learning_rate": 2.059633027522936e-05, + "loss": 0.8596, + "step": 1061 + }, + { + "epoch": 1.03, + "grad_norm": 0.5243341326713562, + "learning_rate": 2.0592160133444538e-05, + "loss": 0.8037, + "step": 1062 + }, + { + "epoch": 1.03, + "grad_norm": 0.6310171484947205, + "learning_rate": 2.0587989991659717e-05, + "loss": 0.8971, + "step": 1063 + }, + { + "epoch": 1.03, + "grad_norm": 0.6252387762069702, + "learning_rate": 2.0583819849874898e-05, + "loss": 0.7949, + "step": 1064 + }, + { + "epoch": 1.03, + "grad_norm": 0.5615880489349365, + "learning_rate": 2.0579649708090077e-05, + "loss": 0.8244, + "step": 1065 + }, + { + "epoch": 1.03, + "grad_norm": 0.6603413820266724, + "learning_rate": 2.0575479566305255e-05, + "loss": 0.843, + "step": 1066 + }, + { + "epoch": 1.03, + "grad_norm": 0.5514137744903564, + "learning_rate": 2.0571309424520437e-05, + "loss": 1.0009, + "step": 1067 + }, + { + "epoch": 1.03, + "grad_norm": 0.6256628036499023, + "learning_rate": 2.0567139282735615e-05, + "loss": 0.9219, + "step": 1068 + }, + { + "epoch": 1.03, + "grad_norm": 0.732912003993988, + "learning_rate": 2.0562969140950793e-05, + "loss": 0.9717, + "step": 1069 + }, + { + "epoch": 1.04, + "grad_norm": 0.6199826598167419, + "learning_rate": 2.0558798999165975e-05, + "loss": 0.8934, + "step": 1070 + }, + { + "epoch": 1.04, + "grad_norm": 0.6502832770347595, + "learning_rate": 2.0554628857381153e-05, + "loss": 0.9008, + "step": 1071 + }, + { + "epoch": 1.04, + "grad_norm": 0.6400684118270874, + "learning_rate": 2.0550458715596332e-05, + "loss": 0.7516, + "step": 1072 + }, + { + "epoch": 1.04, + "grad_norm": 0.6016404032707214, + "learning_rate": 2.0546288573811514e-05, + "loss": 1.0108, + "step": 1073 + }, + { + "epoch": 1.04, + "grad_norm": 0.5793060064315796, + "learning_rate": 2.054211843202669e-05, + "loss": 0.7651, + "step": 1074 + }, + { + "epoch": 1.04, + "grad_norm": 0.6747557520866394, + "learning_rate": 2.0537948290241867e-05, + "loss": 0.7724, + "step": 1075 + }, + { + "epoch": 1.04, + "grad_norm": 0.6828965544700623, + "learning_rate": 2.053377814845705e-05, + "loss": 0.7806, + "step": 1076 + }, + { + "epoch": 1.04, + "grad_norm": 0.6612406969070435, + "learning_rate": 2.0529608006672227e-05, + "loss": 0.7985, + "step": 1077 + }, + { + "epoch": 1.04, + "grad_norm": 0.6128884553909302, + "learning_rate": 2.0525437864887405e-05, + "loss": 0.877, + "step": 1078 + }, + { + "epoch": 1.04, + "grad_norm": 0.581423282623291, + "learning_rate": 2.0521267723102587e-05, + "loss": 0.7531, + "step": 1079 + }, + { + "epoch": 1.04, + "grad_norm": 0.6323544979095459, + "learning_rate": 2.0517097581317765e-05, + "loss": 0.9228, + "step": 1080 + }, + { + "epoch": 1.05, + "grad_norm": 0.7142663598060608, + "learning_rate": 2.0512927439532944e-05, + "loss": 1.0208, + "step": 1081 + }, + { + "epoch": 1.05, + "grad_norm": 0.6408959627151489, + "learning_rate": 2.0508757297748125e-05, + "loss": 0.9238, + "step": 1082 + }, + { + "epoch": 1.05, + "grad_norm": 0.6185158491134644, + "learning_rate": 2.0504587155963304e-05, + "loss": 0.7644, + "step": 1083 + }, + { + "epoch": 1.05, + "grad_norm": 0.7268531918525696, + "learning_rate": 2.0500417014178482e-05, + "loss": 0.8447, + "step": 1084 + }, + { + "epoch": 1.05, + "grad_norm": 0.6842444539070129, + "learning_rate": 2.0496246872393664e-05, + "loss": 0.78, + "step": 1085 + }, + { + "epoch": 1.05, + "grad_norm": 0.7881707549095154, + "learning_rate": 2.0492076730608842e-05, + "loss": 0.8753, + "step": 1086 + }, + { + "epoch": 1.05, + "grad_norm": 0.7361165881156921, + "learning_rate": 2.048790658882402e-05, + "loss": 0.8074, + "step": 1087 + }, + { + "epoch": 1.05, + "grad_norm": 0.6739658117294312, + "learning_rate": 2.0483736447039202e-05, + "loss": 0.8158, + "step": 1088 + }, + { + "epoch": 1.05, + "grad_norm": 0.552456259727478, + "learning_rate": 2.047956630525438e-05, + "loss": 0.8769, + "step": 1089 + }, + { + "epoch": 1.05, + "grad_norm": 0.610466718673706, + "learning_rate": 2.047539616346956e-05, + "loss": 0.7503, + "step": 1090 + }, + { + "epoch": 1.06, + "grad_norm": 0.6973578333854675, + "learning_rate": 2.047122602168474e-05, + "loss": 0.806, + "step": 1091 + }, + { + "epoch": 1.06, + "grad_norm": 0.719378650188446, + "learning_rate": 2.046705587989992e-05, + "loss": 0.8106, + "step": 1092 + }, + { + "epoch": 1.06, + "grad_norm": 0.7531974911689758, + "learning_rate": 2.0462885738115097e-05, + "loss": 0.8179, + "step": 1093 + }, + { + "epoch": 1.06, + "grad_norm": 0.7090561389923096, + "learning_rate": 2.045871559633028e-05, + "loss": 0.7911, + "step": 1094 + }, + { + "epoch": 1.06, + "grad_norm": 0.6798544526100159, + "learning_rate": 2.0454545454545457e-05, + "loss": 0.7793, + "step": 1095 + }, + { + "epoch": 1.06, + "grad_norm": 0.6088623404502869, + "learning_rate": 2.0450375312760636e-05, + "loss": 0.8642, + "step": 1096 + }, + { + "epoch": 1.06, + "grad_norm": 0.6540919542312622, + "learning_rate": 2.0446205170975814e-05, + "loss": 0.8537, + "step": 1097 + }, + { + "epoch": 1.06, + "grad_norm": 0.7064287662506104, + "learning_rate": 2.0442035029190992e-05, + "loss": 1.0622, + "step": 1098 + }, + { + "epoch": 1.06, + "grad_norm": 0.554482638835907, + "learning_rate": 2.043786488740617e-05, + "loss": 0.8298, + "step": 1099 + }, + { + "epoch": 1.06, + "grad_norm": 0.6842906475067139, + "learning_rate": 2.0433694745621352e-05, + "loss": 0.8383, + "step": 1100 + }, + { + "epoch": 1.07, + "grad_norm": 0.5607562065124512, + "learning_rate": 2.042952460383653e-05, + "loss": 0.7505, + "step": 1101 + }, + { + "epoch": 1.07, + "grad_norm": 0.7042150497436523, + "learning_rate": 2.042535446205171e-05, + "loss": 0.9579, + "step": 1102 + }, + { + "epoch": 1.07, + "grad_norm": 0.6090548634529114, + "learning_rate": 2.042118432026689e-05, + "loss": 0.8547, + "step": 1103 + }, + { + "epoch": 1.07, + "grad_norm": 0.7144815921783447, + "learning_rate": 2.041701417848207e-05, + "loss": 1.0942, + "step": 1104 + }, + { + "epoch": 1.07, + "grad_norm": 0.6552587151527405, + "learning_rate": 2.0412844036697248e-05, + "loss": 0.8533, + "step": 1105 + }, + { + "epoch": 1.07, + "grad_norm": 0.5008346438407898, + "learning_rate": 2.040867389491243e-05, + "loss": 0.8108, + "step": 1106 + }, + { + "epoch": 1.07, + "grad_norm": 0.5267950296401978, + "learning_rate": 2.0404503753127608e-05, + "loss": 0.7304, + "step": 1107 + }, + { + "epoch": 1.07, + "grad_norm": 0.6100761890411377, + "learning_rate": 2.0400333611342786e-05, + "loss": 0.8172, + "step": 1108 + }, + { + "epoch": 1.07, + "grad_norm": 0.6827869415283203, + "learning_rate": 2.0396163469557968e-05, + "loss": 0.867, + "step": 1109 + }, + { + "epoch": 1.07, + "grad_norm": 0.5496471524238586, + "learning_rate": 2.0391993327773146e-05, + "loss": 0.7162, + "step": 1110 + }, + { + "epoch": 1.07, + "grad_norm": 0.7534658908843994, + "learning_rate": 2.0387823185988324e-05, + "loss": 1.0311, + "step": 1111 + }, + { + "epoch": 1.08, + "grad_norm": 0.631634533405304, + "learning_rate": 2.0383653044203506e-05, + "loss": 0.9258, + "step": 1112 + }, + { + "epoch": 1.08, + "grad_norm": 0.6375399827957153, + "learning_rate": 2.0379482902418684e-05, + "loss": 0.8988, + "step": 1113 + }, + { + "epoch": 1.08, + "grad_norm": 0.594123899936676, + "learning_rate": 2.0375312760633863e-05, + "loss": 0.7312, + "step": 1114 + }, + { + "epoch": 1.08, + "grad_norm": 0.6396079063415527, + "learning_rate": 2.0371142618849045e-05, + "loss": 0.9497, + "step": 1115 + }, + { + "epoch": 1.08, + "grad_norm": 0.6134539842605591, + "learning_rate": 2.0366972477064223e-05, + "loss": 0.8651, + "step": 1116 + }, + { + "epoch": 1.08, + "grad_norm": 0.658065140247345, + "learning_rate": 2.03628023352794e-05, + "loss": 0.9614, + "step": 1117 + }, + { + "epoch": 1.08, + "grad_norm": 0.7174249291419983, + "learning_rate": 2.035863219349458e-05, + "loss": 0.8025, + "step": 1118 + }, + { + "epoch": 1.08, + "grad_norm": 0.7844749689102173, + "learning_rate": 2.0354462051709758e-05, + "loss": 0.892, + "step": 1119 + }, + { + "epoch": 1.08, + "grad_norm": 0.7768250703811646, + "learning_rate": 2.0350291909924936e-05, + "loss": 0.8479, + "step": 1120 + }, + { + "epoch": 1.08, + "grad_norm": 0.6972119808197021, + "learning_rate": 2.0346121768140118e-05, + "loss": 0.9881, + "step": 1121 + }, + { + "epoch": 1.09, + "grad_norm": 0.6857790350914001, + "learning_rate": 2.0341951626355296e-05, + "loss": 0.7303, + "step": 1122 + }, + { + "epoch": 1.09, + "grad_norm": 0.7047963738441467, + "learning_rate": 2.0337781484570475e-05, + "loss": 0.8212, + "step": 1123 + }, + { + "epoch": 1.09, + "grad_norm": 0.6812813878059387, + "learning_rate": 2.0333611342785656e-05, + "loss": 0.8148, + "step": 1124 + }, + { + "epoch": 1.09, + "grad_norm": 0.6049690246582031, + "learning_rate": 2.0329441201000835e-05, + "loss": 0.7018, + "step": 1125 + }, + { + "epoch": 1.09, + "grad_norm": 0.751523494720459, + "learning_rate": 2.0325271059216013e-05, + "loss": 0.8154, + "step": 1126 + }, + { + "epoch": 1.09, + "grad_norm": 0.8874337077140808, + "learning_rate": 2.0321100917431195e-05, + "loss": 0.8571, + "step": 1127 + }, + { + "epoch": 1.09, + "grad_norm": 0.5225095748901367, + "learning_rate": 2.0316930775646373e-05, + "loss": 0.7247, + "step": 1128 + }, + { + "epoch": 1.09, + "grad_norm": 0.7348160743713379, + "learning_rate": 2.031276063386155e-05, + "loss": 0.786, + "step": 1129 + }, + { + "epoch": 1.09, + "grad_norm": 0.649944543838501, + "learning_rate": 2.0308590492076733e-05, + "loss": 0.8443, + "step": 1130 + }, + { + "epoch": 1.09, + "grad_norm": 0.6845903992652893, + "learning_rate": 2.030442035029191e-05, + "loss": 0.7378, + "step": 1131 + }, + { + "epoch": 1.1, + "grad_norm": 0.7027637958526611, + "learning_rate": 2.030025020850709e-05, + "loss": 0.8388, + "step": 1132 + }, + { + "epoch": 1.1, + "grad_norm": 0.7127660512924194, + "learning_rate": 2.029608006672227e-05, + "loss": 0.8851, + "step": 1133 + }, + { + "epoch": 1.1, + "grad_norm": 0.6167975068092346, + "learning_rate": 2.029190992493745e-05, + "loss": 0.7072, + "step": 1134 + }, + { + "epoch": 1.1, + "grad_norm": 0.6540560126304626, + "learning_rate": 2.0287739783152628e-05, + "loss": 0.8624, + "step": 1135 + }, + { + "epoch": 1.1, + "grad_norm": 0.8315935730934143, + "learning_rate": 2.028356964136781e-05, + "loss": 0.8599, + "step": 1136 + }, + { + "epoch": 1.1, + "grad_norm": 0.6685155034065247, + "learning_rate": 2.027939949958299e-05, + "loss": 0.781, + "step": 1137 + }, + { + "epoch": 1.1, + "grad_norm": 0.6806873083114624, + "learning_rate": 2.0275229357798167e-05, + "loss": 0.8289, + "step": 1138 + }, + { + "epoch": 1.1, + "grad_norm": 0.8281462788581848, + "learning_rate": 2.0271059216013345e-05, + "loss": 0.852, + "step": 1139 + }, + { + "epoch": 1.1, + "grad_norm": 0.6585161089897156, + "learning_rate": 2.0266889074228527e-05, + "loss": 0.8727, + "step": 1140 + }, + { + "epoch": 1.1, + "grad_norm": 0.6939504146575928, + "learning_rate": 2.0262718932443702e-05, + "loss": 0.9652, + "step": 1141 + }, + { + "epoch": 1.1, + "grad_norm": 0.6534468531608582, + "learning_rate": 2.0258548790658883e-05, + "loss": 0.8374, + "step": 1142 + }, + { + "epoch": 1.11, + "grad_norm": 0.6495769023895264, + "learning_rate": 2.0254378648874062e-05, + "loss": 0.7789, + "step": 1143 + }, + { + "epoch": 1.11, + "grad_norm": 0.6735094785690308, + "learning_rate": 2.025020850708924e-05, + "loss": 0.9788, + "step": 1144 + }, + { + "epoch": 1.11, + "grad_norm": 0.7049703598022461, + "learning_rate": 2.0246038365304422e-05, + "loss": 1.1319, + "step": 1145 + }, + { + "epoch": 1.11, + "grad_norm": 0.5730622410774231, + "learning_rate": 2.02418682235196e-05, + "loss": 0.7249, + "step": 1146 + }, + { + "epoch": 1.11, + "grad_norm": 0.5414702296257019, + "learning_rate": 2.023769808173478e-05, + "loss": 0.7921, + "step": 1147 + }, + { + "epoch": 1.11, + "grad_norm": 0.7711560130119324, + "learning_rate": 2.023352793994996e-05, + "loss": 0.9164, + "step": 1148 + }, + { + "epoch": 1.11, + "grad_norm": 0.5089284181594849, + "learning_rate": 2.022935779816514e-05, + "loss": 0.7612, + "step": 1149 + }, + { + "epoch": 1.11, + "grad_norm": 0.6947194933891296, + "learning_rate": 2.0225187656380317e-05, + "loss": 0.7991, + "step": 1150 + }, + { + "epoch": 1.11, + "grad_norm": 0.6679661273956299, + "learning_rate": 2.02210175145955e-05, + "loss": 0.8647, + "step": 1151 + }, + { + "epoch": 1.11, + "grad_norm": 0.6968091726303101, + "learning_rate": 2.0216847372810677e-05, + "loss": 0.8454, + "step": 1152 + }, + { + "epoch": 1.12, + "grad_norm": 0.682577908039093, + "learning_rate": 2.0212677231025855e-05, + "loss": 1.0614, + "step": 1153 + }, + { + "epoch": 1.12, + "grad_norm": 0.8568062782287598, + "learning_rate": 2.0208507089241037e-05, + "loss": 0.9734, + "step": 1154 + }, + { + "epoch": 1.12, + "grad_norm": 0.7157121896743774, + "learning_rate": 2.0204336947456215e-05, + "loss": 0.8055, + "step": 1155 + }, + { + "epoch": 1.12, + "grad_norm": 0.5516419410705566, + "learning_rate": 2.0200166805671394e-05, + "loss": 0.8153, + "step": 1156 + }, + { + "epoch": 1.12, + "grad_norm": 0.6134642958641052, + "learning_rate": 2.0195996663886576e-05, + "loss": 0.7781, + "step": 1157 + }, + { + "epoch": 1.12, + "grad_norm": 0.695842981338501, + "learning_rate": 2.0191826522101754e-05, + "loss": 0.8474, + "step": 1158 + }, + { + "epoch": 1.12, + "grad_norm": 0.6142158508300781, + "learning_rate": 2.0187656380316932e-05, + "loss": 0.8035, + "step": 1159 + }, + { + "epoch": 1.12, + "grad_norm": 0.7473539113998413, + "learning_rate": 2.018348623853211e-05, + "loss": 1.0855, + "step": 1160 + }, + { + "epoch": 1.12, + "grad_norm": 0.7997121214866638, + "learning_rate": 2.0179316096747292e-05, + "loss": 0.9073, + "step": 1161 + }, + { + "epoch": 1.12, + "grad_norm": 0.5757729411125183, + "learning_rate": 2.017514595496247e-05, + "loss": 0.8069, + "step": 1162 + }, + { + "epoch": 1.13, + "grad_norm": 0.68416827917099, + "learning_rate": 2.017097581317765e-05, + "loss": 0.8549, + "step": 1163 + }, + { + "epoch": 1.13, + "grad_norm": 0.8946914076805115, + "learning_rate": 2.0166805671392827e-05, + "loss": 0.9418, + "step": 1164 + }, + { + "epoch": 1.13, + "grad_norm": 0.7269178628921509, + "learning_rate": 2.0162635529608006e-05, + "loss": 0.9577, + "step": 1165 + }, + { + "epoch": 1.13, + "grad_norm": 0.7292526364326477, + "learning_rate": 2.0158465387823187e-05, + "loss": 0.8515, + "step": 1166 + }, + { + "epoch": 1.13, + "grad_norm": 0.7537861466407776, + "learning_rate": 2.0154295246038366e-05, + "loss": 0.8199, + "step": 1167 + }, + { + "epoch": 1.13, + "grad_norm": 0.7075591087341309, + "learning_rate": 2.0150125104253544e-05, + "loss": 0.9916, + "step": 1168 + }, + { + "epoch": 1.13, + "grad_norm": 0.7684023380279541, + "learning_rate": 2.0145954962468726e-05, + "loss": 0.9545, + "step": 1169 + }, + { + "epoch": 1.13, + "grad_norm": 0.7684583067893982, + "learning_rate": 2.0141784820683904e-05, + "loss": 0.9844, + "step": 1170 + }, + { + "epoch": 1.13, + "grad_norm": 0.6544790863990784, + "learning_rate": 2.0137614678899082e-05, + "loss": 0.7804, + "step": 1171 + }, + { + "epoch": 1.13, + "grad_norm": 0.9704328775405884, + "learning_rate": 2.0133444537114264e-05, + "loss": 1.0086, + "step": 1172 + }, + { + "epoch": 1.13, + "grad_norm": 0.7506837844848633, + "learning_rate": 2.0129274395329443e-05, + "loss": 0.828, + "step": 1173 + }, + { + "epoch": 1.14, + "grad_norm": 0.7844573855400085, + "learning_rate": 2.012510425354462e-05, + "loss": 0.8936, + "step": 1174 + }, + { + "epoch": 1.14, + "grad_norm": 0.7006405591964722, + "learning_rate": 2.0120934111759803e-05, + "loss": 0.8788, + "step": 1175 + }, + { + "epoch": 1.14, + "grad_norm": 0.7068211436271667, + "learning_rate": 2.011676396997498e-05, + "loss": 0.8976, + "step": 1176 + }, + { + "epoch": 1.14, + "grad_norm": 0.6238799095153809, + "learning_rate": 2.011259382819016e-05, + "loss": 0.7312, + "step": 1177 + }, + { + "epoch": 1.14, + "grad_norm": 0.7396358847618103, + "learning_rate": 2.010842368640534e-05, + "loss": 1.0045, + "step": 1178 + }, + { + "epoch": 1.14, + "grad_norm": 0.768765926361084, + "learning_rate": 2.010425354462052e-05, + "loss": 1.0275, + "step": 1179 + }, + { + "epoch": 1.14, + "grad_norm": 0.7648972868919373, + "learning_rate": 2.0100083402835698e-05, + "loss": 0.9638, + "step": 1180 + }, + { + "epoch": 1.14, + "grad_norm": 0.6757320165634155, + "learning_rate": 2.0095913261050876e-05, + "loss": 0.9246, + "step": 1181 + }, + { + "epoch": 1.14, + "grad_norm": 0.8191862106323242, + "learning_rate": 2.0091743119266058e-05, + "loss": 0.9372, + "step": 1182 + }, + { + "epoch": 1.14, + "grad_norm": 0.7539578080177307, + "learning_rate": 2.0087572977481236e-05, + "loss": 0.7201, + "step": 1183 + }, + { + "epoch": 1.15, + "grad_norm": 0.6175471544265747, + "learning_rate": 2.0083402835696414e-05, + "loss": 0.7342, + "step": 1184 + }, + { + "epoch": 1.15, + "grad_norm": 0.7748209834098816, + "learning_rate": 2.0079232693911593e-05, + "loss": 1.0449, + "step": 1185 + }, + { + "epoch": 1.15, + "grad_norm": 0.6480386257171631, + "learning_rate": 2.007506255212677e-05, + "loss": 0.8245, + "step": 1186 + }, + { + "epoch": 1.15, + "grad_norm": 0.6330767869949341, + "learning_rate": 2.0070892410341953e-05, + "loss": 0.9675, + "step": 1187 + }, + { + "epoch": 1.15, + "grad_norm": 0.6386303305625916, + "learning_rate": 2.006672226855713e-05, + "loss": 0.9375, + "step": 1188 + }, + { + "epoch": 1.15, + "grad_norm": 0.6865476369857788, + "learning_rate": 2.006255212677231e-05, + "loss": 0.7506, + "step": 1189 + }, + { + "epoch": 1.15, + "grad_norm": 0.7391331791877747, + "learning_rate": 2.005838198498749e-05, + "loss": 0.7948, + "step": 1190 + }, + { + "epoch": 1.15, + "grad_norm": 0.6538380980491638, + "learning_rate": 2.005421184320267e-05, + "loss": 0.9051, + "step": 1191 + }, + { + "epoch": 1.15, + "grad_norm": 0.6520277857780457, + "learning_rate": 2.0050041701417848e-05, + "loss": 0.7471, + "step": 1192 + }, + { + "epoch": 1.15, + "grad_norm": 0.6218945384025574, + "learning_rate": 2.004587155963303e-05, + "loss": 1.0388, + "step": 1193 + }, + { + "epoch": 1.16, + "grad_norm": 0.6549714207649231, + "learning_rate": 2.0041701417848208e-05, + "loss": 0.7136, + "step": 1194 + }, + { + "epoch": 1.16, + "grad_norm": 0.795415461063385, + "learning_rate": 2.0037531276063386e-05, + "loss": 0.7557, + "step": 1195 + }, + { + "epoch": 1.16, + "grad_norm": 0.7417047619819641, + "learning_rate": 2.0033361134278568e-05, + "loss": 0.9314, + "step": 1196 + }, + { + "epoch": 1.16, + "grad_norm": 0.7130894660949707, + "learning_rate": 2.0029190992493746e-05, + "loss": 0.7261, + "step": 1197 + }, + { + "epoch": 1.16, + "grad_norm": 0.6995031237602234, + "learning_rate": 2.0025020850708925e-05, + "loss": 0.8487, + "step": 1198 + }, + { + "epoch": 1.16, + "grad_norm": 0.7536701560020447, + "learning_rate": 2.0020850708924107e-05, + "loss": 0.8209, + "step": 1199 + }, + { + "epoch": 1.16, + "grad_norm": 0.7476093173027039, + "learning_rate": 2.0016680567139285e-05, + "loss": 0.8483, + "step": 1200 + }, + { + "epoch": 1.16, + "eval_loss": 0.8783296942710876, + "eval_runtime": 857.3641, + "eval_samples_per_second": 4.822, + "eval_steps_per_second": 0.603, + "step": 1200 + }, + { + "epoch": 1.16, + "grad_norm": 0.8116816878318787, + "learning_rate": 2.0012510425354463e-05, + "loss": 0.864, + "step": 1201 + }, + { + "epoch": 1.16, + "grad_norm": 0.7486494183540344, + "learning_rate": 2.000834028356964e-05, + "loss": 0.814, + "step": 1202 + }, + { + "epoch": 1.16, + "grad_norm": 0.6025243401527405, + "learning_rate": 2.0004170141784823e-05, + "loss": 0.7664, + "step": 1203 + }, + { + "epoch": 1.16, + "grad_norm": 0.726498007774353, + "learning_rate": 2e-05, + "loss": 0.9054, + "step": 1204 + }, + { + "epoch": 1.17, + "grad_norm": 0.6812905073165894, + "learning_rate": 1.999582985821518e-05, + "loss": 0.8214, + "step": 1205 + }, + { + "epoch": 1.17, + "grad_norm": 0.6865004301071167, + "learning_rate": 1.9991659716430362e-05, + "loss": 0.8726, + "step": 1206 + }, + { + "epoch": 1.17, + "grad_norm": 0.6049161553382874, + "learning_rate": 1.9987489574645537e-05, + "loss": 0.774, + "step": 1207 + }, + { + "epoch": 1.17, + "grad_norm": 0.7277460694313049, + "learning_rate": 1.998331943286072e-05, + "loss": 0.8245, + "step": 1208 + }, + { + "epoch": 1.17, + "grad_norm": 0.8002848029136658, + "learning_rate": 1.9979149291075897e-05, + "loss": 0.9576, + "step": 1209 + }, + { + "epoch": 1.17, + "grad_norm": 0.6257197260856628, + "learning_rate": 1.9974979149291075e-05, + "loss": 0.7934, + "step": 1210 + }, + { + "epoch": 1.17, + "grad_norm": 0.7279773354530334, + "learning_rate": 1.9970809007506257e-05, + "loss": 0.9105, + "step": 1211 + }, + { + "epoch": 1.17, + "grad_norm": 0.7398669123649597, + "learning_rate": 1.9966638865721435e-05, + "loss": 0.7765, + "step": 1212 + }, + { + "epoch": 1.17, + "grad_norm": 0.7437023520469666, + "learning_rate": 1.9962468723936613e-05, + "loss": 0.7954, + "step": 1213 + }, + { + "epoch": 1.17, + "grad_norm": 0.748065173625946, + "learning_rate": 1.9958298582151795e-05, + "loss": 0.8736, + "step": 1214 + }, + { + "epoch": 1.18, + "grad_norm": 0.7423843741416931, + "learning_rate": 1.9954128440366974e-05, + "loss": 0.9734, + "step": 1215 + }, + { + "epoch": 1.18, + "grad_norm": 0.7454872131347656, + "learning_rate": 1.9949958298582152e-05, + "loss": 0.8393, + "step": 1216 + }, + { + "epoch": 1.18, + "grad_norm": 0.6444511413574219, + "learning_rate": 1.9945788156797334e-05, + "loss": 0.7672, + "step": 1217 + }, + { + "epoch": 1.18, + "grad_norm": 0.6948140263557434, + "learning_rate": 1.9941618015012512e-05, + "loss": 0.774, + "step": 1218 + }, + { + "epoch": 1.18, + "grad_norm": 0.7107192277908325, + "learning_rate": 1.993744787322769e-05, + "loss": 0.8747, + "step": 1219 + }, + { + "epoch": 1.18, + "grad_norm": 0.7504712343215942, + "learning_rate": 1.9933277731442872e-05, + "loss": 0.8394, + "step": 1220 + }, + { + "epoch": 1.18, + "grad_norm": 0.7995357513427734, + "learning_rate": 1.992910758965805e-05, + "loss": 0.8854, + "step": 1221 + }, + { + "epoch": 1.18, + "grad_norm": 0.634604275226593, + "learning_rate": 1.992493744787323e-05, + "loss": 0.8579, + "step": 1222 + }, + { + "epoch": 1.18, + "grad_norm": 0.6955585479736328, + "learning_rate": 1.9920767306088407e-05, + "loss": 0.8284, + "step": 1223 + }, + { + "epoch": 1.18, + "grad_norm": 0.5926839709281921, + "learning_rate": 1.991659716430359e-05, + "loss": 0.8271, + "step": 1224 + }, + { + "epoch": 1.19, + "grad_norm": 0.80941241979599, + "learning_rate": 1.9912427022518767e-05, + "loss": 1.0476, + "step": 1225 + }, + { + "epoch": 1.19, + "grad_norm": 0.8954213857650757, + "learning_rate": 1.9908256880733945e-05, + "loss": 0.7839, + "step": 1226 + }, + { + "epoch": 1.19, + "grad_norm": 0.8649927377700806, + "learning_rate": 1.9904086738949127e-05, + "loss": 0.9819, + "step": 1227 + }, + { + "epoch": 1.19, + "grad_norm": 1.0155695676803589, + "learning_rate": 1.9899916597164306e-05, + "loss": 0.8715, + "step": 1228 + }, + { + "epoch": 1.19, + "grad_norm": 0.67950439453125, + "learning_rate": 1.9895746455379484e-05, + "loss": 0.7616, + "step": 1229 + }, + { + "epoch": 1.19, + "grad_norm": 0.7515661716461182, + "learning_rate": 1.9891576313594662e-05, + "loss": 0.818, + "step": 1230 + }, + { + "epoch": 1.19, + "grad_norm": 0.6301254034042358, + "learning_rate": 1.988740617180984e-05, + "loss": 0.9166, + "step": 1231 + }, + { + "epoch": 1.19, + "grad_norm": 0.6910674571990967, + "learning_rate": 1.9883236030025022e-05, + "loss": 0.7906, + "step": 1232 + }, + { + "epoch": 1.19, + "grad_norm": 0.6883606910705566, + "learning_rate": 1.98790658882402e-05, + "loss": 0.7884, + "step": 1233 + }, + { + "epoch": 1.19, + "grad_norm": 0.8237311244010925, + "learning_rate": 1.987489574645538e-05, + "loss": 0.8678, + "step": 1234 + }, + { + "epoch": 1.19, + "grad_norm": 0.7851442694664001, + "learning_rate": 1.987072560467056e-05, + "loss": 0.7705, + "step": 1235 + }, + { + "epoch": 1.2, + "grad_norm": 0.6327136158943176, + "learning_rate": 1.986655546288574e-05, + "loss": 0.714, + "step": 1236 + }, + { + "epoch": 1.2, + "grad_norm": 0.6532565355300903, + "learning_rate": 1.9862385321100917e-05, + "loss": 0.7735, + "step": 1237 + }, + { + "epoch": 1.2, + "grad_norm": 0.6519346237182617, + "learning_rate": 1.98582151793161e-05, + "loss": 0.812, + "step": 1238 + }, + { + "epoch": 1.2, + "grad_norm": 0.6232478022575378, + "learning_rate": 1.9854045037531277e-05, + "loss": 0.7845, + "step": 1239 + }, + { + "epoch": 1.2, + "grad_norm": 0.7102138996124268, + "learning_rate": 1.9849874895746456e-05, + "loss": 0.8226, + "step": 1240 + }, + { + "epoch": 1.2, + "grad_norm": 0.6527196764945984, + "learning_rate": 1.9845704753961638e-05, + "loss": 0.833, + "step": 1241 + }, + { + "epoch": 1.2, + "grad_norm": 0.8578972816467285, + "learning_rate": 1.9841534612176816e-05, + "loss": 0.8813, + "step": 1242 + }, + { + "epoch": 1.2, + "grad_norm": 0.7078696489334106, + "learning_rate": 1.9837364470391994e-05, + "loss": 0.8863, + "step": 1243 + }, + { + "epoch": 1.2, + "grad_norm": 0.6463315486907959, + "learning_rate": 1.9833194328607173e-05, + "loss": 0.7396, + "step": 1244 + }, + { + "epoch": 1.2, + "grad_norm": 0.7205138206481934, + "learning_rate": 1.9829024186822354e-05, + "loss": 0.8701, + "step": 1245 + }, + { + "epoch": 1.21, + "grad_norm": 0.6987596154212952, + "learning_rate": 1.9824854045037533e-05, + "loss": 0.7189, + "step": 1246 + }, + { + "epoch": 1.21, + "grad_norm": 0.6836056113243103, + "learning_rate": 1.982068390325271e-05, + "loss": 0.8648, + "step": 1247 + }, + { + "epoch": 1.21, + "grad_norm": 0.7336019277572632, + "learning_rate": 1.9816513761467893e-05, + "loss": 0.8316, + "step": 1248 + }, + { + "epoch": 1.21, + "grad_norm": 0.7761330604553223, + "learning_rate": 1.981234361968307e-05, + "loss": 0.745, + "step": 1249 + }, + { + "epoch": 1.21, + "grad_norm": 0.5521416664123535, + "learning_rate": 1.980817347789825e-05, + "loss": 0.8791, + "step": 1250 + }, + { + "epoch": 1.21, + "grad_norm": 0.8572707176208496, + "learning_rate": 1.9804003336113428e-05, + "loss": 0.7656, + "step": 1251 + }, + { + "epoch": 1.21, + "grad_norm": 0.7362416386604309, + "learning_rate": 1.9799833194328606e-05, + "loss": 0.9119, + "step": 1252 + }, + { + "epoch": 1.21, + "grad_norm": 0.71168452501297, + "learning_rate": 1.9795663052543788e-05, + "loss": 0.8771, + "step": 1253 + }, + { + "epoch": 1.21, + "grad_norm": 0.7694135308265686, + "learning_rate": 1.9791492910758966e-05, + "loss": 0.9002, + "step": 1254 + }, + { + "epoch": 1.21, + "grad_norm": 0.7632991075515747, + "learning_rate": 1.9787322768974144e-05, + "loss": 0.9293, + "step": 1255 + }, + { + "epoch": 1.22, + "grad_norm": 0.6172875165939331, + "learning_rate": 1.9783152627189326e-05, + "loss": 0.7862, + "step": 1256 + }, + { + "epoch": 1.22, + "grad_norm": 0.7515307664871216, + "learning_rate": 1.9778982485404505e-05, + "loss": 0.7848, + "step": 1257 + }, + { + "epoch": 1.22, + "grad_norm": 0.7207298874855042, + "learning_rate": 1.9774812343619683e-05, + "loss": 0.7562, + "step": 1258 + }, + { + "epoch": 1.22, + "grad_norm": 0.724274218082428, + "learning_rate": 1.9770642201834865e-05, + "loss": 0.7877, + "step": 1259 + }, + { + "epoch": 1.22, + "grad_norm": 0.6738608479499817, + "learning_rate": 1.9766472060050043e-05, + "loss": 0.8144, + "step": 1260 + }, + { + "epoch": 1.22, + "grad_norm": 0.6082213521003723, + "learning_rate": 1.976230191826522e-05, + "loss": 0.7096, + "step": 1261 + }, + { + "epoch": 1.22, + "grad_norm": 0.7572534680366516, + "learning_rate": 1.9758131776480403e-05, + "loss": 0.9684, + "step": 1262 + }, + { + "epoch": 1.22, + "grad_norm": 0.7688679695129395, + "learning_rate": 1.975396163469558e-05, + "loss": 0.7109, + "step": 1263 + }, + { + "epoch": 1.22, + "grad_norm": 0.7593303918838501, + "learning_rate": 1.974979149291076e-05, + "loss": 0.9247, + "step": 1264 + }, + { + "epoch": 1.22, + "grad_norm": 0.8380557298660278, + "learning_rate": 1.9745621351125938e-05, + "loss": 0.8173, + "step": 1265 + }, + { + "epoch": 1.22, + "grad_norm": 0.7225051522254944, + "learning_rate": 1.974145120934112e-05, + "loss": 0.8162, + "step": 1266 + }, + { + "epoch": 1.23, + "grad_norm": 0.8516885638237, + "learning_rate": 1.9737281067556298e-05, + "loss": 1.021, + "step": 1267 + }, + { + "epoch": 1.23, + "grad_norm": 0.771049439907074, + "learning_rate": 1.9733110925771476e-05, + "loss": 0.9569, + "step": 1268 + }, + { + "epoch": 1.23, + "grad_norm": 0.8094817399978638, + "learning_rate": 1.9728940783986658e-05, + "loss": 0.9287, + "step": 1269 + }, + { + "epoch": 1.23, + "grad_norm": 0.8817887306213379, + "learning_rate": 1.9724770642201837e-05, + "loss": 0.9278, + "step": 1270 + }, + { + "epoch": 1.23, + "grad_norm": 0.738352358341217, + "learning_rate": 1.9720600500417015e-05, + "loss": 1.0132, + "step": 1271 + }, + { + "epoch": 1.23, + "grad_norm": 0.7186091542243958, + "learning_rate": 1.9716430358632197e-05, + "loss": 0.8024, + "step": 1272 + }, + { + "epoch": 1.23, + "grad_norm": 0.9653217792510986, + "learning_rate": 1.971226021684737e-05, + "loss": 0.9156, + "step": 1273 + }, + { + "epoch": 1.23, + "grad_norm": 0.6486276984214783, + "learning_rate": 1.9708090075062553e-05, + "loss": 0.7848, + "step": 1274 + }, + { + "epoch": 1.23, + "grad_norm": 0.7116745114326477, + "learning_rate": 1.970391993327773e-05, + "loss": 1.0013, + "step": 1275 + }, + { + "epoch": 1.23, + "grad_norm": 0.7599337697029114, + "learning_rate": 1.969974979149291e-05, + "loss": 0.8186, + "step": 1276 + }, + { + "epoch": 1.24, + "grad_norm": 0.6064517498016357, + "learning_rate": 1.9695579649708092e-05, + "loss": 0.6152, + "step": 1277 + }, + { + "epoch": 1.24, + "grad_norm": 0.8378826379776001, + "learning_rate": 1.969140950792327e-05, + "loss": 0.8218, + "step": 1278 + }, + { + "epoch": 1.24, + "grad_norm": 0.9602186679840088, + "learning_rate": 1.968723936613845e-05, + "loss": 0.8468, + "step": 1279 + }, + { + "epoch": 1.24, + "grad_norm": 0.860482394695282, + "learning_rate": 1.968306922435363e-05, + "loss": 0.8982, + "step": 1280 + }, + { + "epoch": 1.24, + "grad_norm": 0.6239500045776367, + "learning_rate": 1.967889908256881e-05, + "loss": 0.8588, + "step": 1281 + }, + { + "epoch": 1.24, + "grad_norm": 0.690432608127594, + "learning_rate": 1.9674728940783987e-05, + "loss": 0.8529, + "step": 1282 + }, + { + "epoch": 1.24, + "grad_norm": 0.8363600969314575, + "learning_rate": 1.967055879899917e-05, + "loss": 1.0368, + "step": 1283 + }, + { + "epoch": 1.24, + "grad_norm": 0.9857497215270996, + "learning_rate": 1.9666388657214347e-05, + "loss": 0.6297, + "step": 1284 + }, + { + "epoch": 1.24, + "grad_norm": 0.8214011788368225, + "learning_rate": 1.9662218515429525e-05, + "loss": 1.0355, + "step": 1285 + }, + { + "epoch": 1.24, + "grad_norm": 0.6809065341949463, + "learning_rate": 1.9658048373644704e-05, + "loss": 0.8056, + "step": 1286 + }, + { + "epoch": 1.25, + "grad_norm": 0.7156121134757996, + "learning_rate": 1.9653878231859885e-05, + "loss": 0.8565, + "step": 1287 + }, + { + "epoch": 1.25, + "grad_norm": 0.5536946058273315, + "learning_rate": 1.9649708090075064e-05, + "loss": 0.7884, + "step": 1288 + }, + { + "epoch": 1.25, + "grad_norm": 0.6815100312232971, + "learning_rate": 1.9645537948290242e-05, + "loss": 0.9909, + "step": 1289 + }, + { + "epoch": 1.25, + "grad_norm": 0.806019127368927, + "learning_rate": 1.9641367806505424e-05, + "loss": 0.7466, + "step": 1290 + }, + { + "epoch": 1.25, + "grad_norm": 0.8437607884407043, + "learning_rate": 1.9637197664720602e-05, + "loss": 0.7699, + "step": 1291 + }, + { + "epoch": 1.25, + "grad_norm": 0.7754395604133606, + "learning_rate": 1.963302752293578e-05, + "loss": 0.7901, + "step": 1292 + }, + { + "epoch": 1.25, + "grad_norm": 0.8656169772148132, + "learning_rate": 1.9628857381150962e-05, + "loss": 0.8383, + "step": 1293 + }, + { + "epoch": 1.25, + "grad_norm": 0.7922991514205933, + "learning_rate": 1.962468723936614e-05, + "loss": 0.9775, + "step": 1294 + }, + { + "epoch": 1.25, + "grad_norm": 0.7374093532562256, + "learning_rate": 1.962051709758132e-05, + "loss": 0.8138, + "step": 1295 + }, + { + "epoch": 1.25, + "grad_norm": 0.7765728831291199, + "learning_rate": 1.9616346955796497e-05, + "loss": 0.8234, + "step": 1296 + }, + { + "epoch": 1.25, + "grad_norm": 0.6263060569763184, + "learning_rate": 1.9612176814011675e-05, + "loss": 0.8506, + "step": 1297 + }, + { + "epoch": 1.26, + "grad_norm": 0.8208625316619873, + "learning_rate": 1.9608006672226857e-05, + "loss": 0.8166, + "step": 1298 + }, + { + "epoch": 1.26, + "grad_norm": 0.5894309282302856, + "learning_rate": 1.9603836530442036e-05, + "loss": 0.6961, + "step": 1299 + }, + { + "epoch": 1.26, + "grad_norm": 0.7697637677192688, + "learning_rate": 1.9599666388657214e-05, + "loss": 0.8357, + "step": 1300 + }, + { + "epoch": 1.26, + "grad_norm": 0.6585679054260254, + "learning_rate": 1.9595496246872396e-05, + "loss": 0.7641, + "step": 1301 + }, + { + "epoch": 1.26, + "grad_norm": 0.7805622816085815, + "learning_rate": 1.9591326105087574e-05, + "loss": 1.0832, + "step": 1302 + }, + { + "epoch": 1.26, + "grad_norm": 0.7517726421356201, + "learning_rate": 1.9587155963302752e-05, + "loss": 0.8683, + "step": 1303 + }, + { + "epoch": 1.26, + "grad_norm": 0.839320957660675, + "learning_rate": 1.9582985821517934e-05, + "loss": 0.8272, + "step": 1304 + }, + { + "epoch": 1.26, + "grad_norm": 0.7510342001914978, + "learning_rate": 1.9578815679733112e-05, + "loss": 0.8035, + "step": 1305 + }, + { + "epoch": 1.26, + "grad_norm": 0.7724819779396057, + "learning_rate": 1.957464553794829e-05, + "loss": 0.7923, + "step": 1306 + }, + { + "epoch": 1.26, + "grad_norm": 0.7427623867988586, + "learning_rate": 1.957047539616347e-05, + "loss": 0.9458, + "step": 1307 + }, + { + "epoch": 1.27, + "grad_norm": 0.8169387578964233, + "learning_rate": 1.956630525437865e-05, + "loss": 0.9477, + "step": 1308 + }, + { + "epoch": 1.27, + "grad_norm": 0.8723706603050232, + "learning_rate": 1.956213511259383e-05, + "loss": 0.9962, + "step": 1309 + }, + { + "epoch": 1.27, + "grad_norm": 0.7092786431312561, + "learning_rate": 1.9557964970809007e-05, + "loss": 0.9265, + "step": 1310 + }, + { + "epoch": 1.27, + "grad_norm": 1.0786484479904175, + "learning_rate": 1.955379482902419e-05, + "loss": 0.7894, + "step": 1311 + }, + { + "epoch": 1.27, + "grad_norm": 0.8191916942596436, + "learning_rate": 1.9549624687239368e-05, + "loss": 0.7786, + "step": 1312 + }, + { + "epoch": 1.27, + "grad_norm": 0.7866259217262268, + "learning_rate": 1.9545454545454546e-05, + "loss": 0.9125, + "step": 1313 + }, + { + "epoch": 1.27, + "grad_norm": 0.738982081413269, + "learning_rate": 1.9541284403669728e-05, + "loss": 0.7313, + "step": 1314 + }, + { + "epoch": 1.27, + "grad_norm": 0.6761723756790161, + "learning_rate": 1.9537114261884906e-05, + "loss": 0.8484, + "step": 1315 + }, + { + "epoch": 1.27, + "grad_norm": 0.6249130964279175, + "learning_rate": 1.9532944120100084e-05, + "loss": 0.7152, + "step": 1316 + }, + { + "epoch": 1.27, + "grad_norm": 0.7531836628913879, + "learning_rate": 1.9528773978315263e-05, + "loss": 0.9286, + "step": 1317 + }, + { + "epoch": 1.28, + "grad_norm": 0.6303303837776184, + "learning_rate": 1.952460383653044e-05, + "loss": 0.9323, + "step": 1318 + }, + { + "epoch": 1.28, + "grad_norm": 0.7087751626968384, + "learning_rate": 1.9520433694745623e-05, + "loss": 0.8918, + "step": 1319 + }, + { + "epoch": 1.28, + "grad_norm": 0.7532021403312683, + "learning_rate": 1.95162635529608e-05, + "loss": 0.9313, + "step": 1320 + }, + { + "epoch": 1.28, + "grad_norm": 0.7865018844604492, + "learning_rate": 1.951209341117598e-05, + "loss": 0.9008, + "step": 1321 + }, + { + "epoch": 1.28, + "grad_norm": 0.6422006487846375, + "learning_rate": 1.950792326939116e-05, + "loss": 0.7748, + "step": 1322 + }, + { + "epoch": 1.28, + "grad_norm": 1.137803554534912, + "learning_rate": 1.950375312760634e-05, + "loss": 0.8269, + "step": 1323 + }, + { + "epoch": 1.28, + "grad_norm": 0.7297244668006897, + "learning_rate": 1.9499582985821518e-05, + "loss": 0.8554, + "step": 1324 + }, + { + "epoch": 1.28, + "grad_norm": 0.8490357995033264, + "learning_rate": 1.94954128440367e-05, + "loss": 1.0124, + "step": 1325 + }, + { + "epoch": 1.28, + "grad_norm": 0.732333242893219, + "learning_rate": 1.9491242702251878e-05, + "loss": 0.7101, + "step": 1326 + }, + { + "epoch": 1.28, + "grad_norm": 0.8621022701263428, + "learning_rate": 1.9487072560467056e-05, + "loss": 0.7277, + "step": 1327 + }, + { + "epoch": 1.28, + "grad_norm": 0.881034255027771, + "learning_rate": 1.9482902418682235e-05, + "loss": 0.9731, + "step": 1328 + }, + { + "epoch": 1.29, + "grad_norm": 0.7042041420936584, + "learning_rate": 1.9478732276897416e-05, + "loss": 0.7909, + "step": 1329 + }, + { + "epoch": 1.29, + "grad_norm": 0.6955745220184326, + "learning_rate": 1.9474562135112595e-05, + "loss": 0.8855, + "step": 1330 + }, + { + "epoch": 1.29, + "grad_norm": 0.6889504790306091, + "learning_rate": 1.9470391993327773e-05, + "loss": 0.7393, + "step": 1331 + }, + { + "epoch": 1.29, + "grad_norm": 0.740740954875946, + "learning_rate": 1.9466221851542955e-05, + "loss": 0.6845, + "step": 1332 + }, + { + "epoch": 1.29, + "grad_norm": 0.7539410591125488, + "learning_rate": 1.9462051709758133e-05, + "loss": 0.9043, + "step": 1333 + }, + { + "epoch": 1.29, + "grad_norm": 0.6971992254257202, + "learning_rate": 1.945788156797331e-05, + "loss": 0.9364, + "step": 1334 + }, + { + "epoch": 1.29, + "grad_norm": 0.8610581159591675, + "learning_rate": 1.9453711426188493e-05, + "loss": 0.9002, + "step": 1335 + }, + { + "epoch": 1.29, + "grad_norm": 0.7322424054145813, + "learning_rate": 1.944954128440367e-05, + "loss": 0.8294, + "step": 1336 + }, + { + "epoch": 1.29, + "grad_norm": 0.9879711270332336, + "learning_rate": 1.944537114261885e-05, + "loss": 0.8309, + "step": 1337 + }, + { + "epoch": 1.29, + "grad_norm": 0.946128249168396, + "learning_rate": 1.944120100083403e-05, + "loss": 0.8784, + "step": 1338 + }, + { + "epoch": 1.3, + "grad_norm": 1.003400206565857, + "learning_rate": 1.9437030859049206e-05, + "loss": 0.8486, + "step": 1339 + }, + { + "epoch": 1.3, + "grad_norm": 0.7069840431213379, + "learning_rate": 1.9432860717264388e-05, + "loss": 0.701, + "step": 1340 + }, + { + "epoch": 1.3, + "grad_norm": 0.6030074954032898, + "learning_rate": 1.9428690575479567e-05, + "loss": 0.7142, + "step": 1341 + }, + { + "epoch": 1.3, + "grad_norm": 0.7204192876815796, + "learning_rate": 1.9424520433694745e-05, + "loss": 0.8322, + "step": 1342 + }, + { + "epoch": 1.3, + "grad_norm": 0.6655485033988953, + "learning_rate": 1.9420350291909927e-05, + "loss": 0.8325, + "step": 1343 + }, + { + "epoch": 1.3, + "grad_norm": 0.7931957244873047, + "learning_rate": 1.9416180150125105e-05, + "loss": 0.9942, + "step": 1344 + }, + { + "epoch": 1.3, + "grad_norm": 0.8744105696678162, + "learning_rate": 1.9412010008340283e-05, + "loss": 0.7388, + "step": 1345 + }, + { + "epoch": 1.3, + "grad_norm": 0.7435116767883301, + "learning_rate": 1.9407839866555465e-05, + "loss": 0.7078, + "step": 1346 + }, + { + "epoch": 1.3, + "grad_norm": 0.7065119743347168, + "learning_rate": 1.9403669724770643e-05, + "loss": 0.8775, + "step": 1347 + }, + { + "epoch": 1.3, + "grad_norm": 0.7954184412956238, + "learning_rate": 1.9399499582985822e-05, + "loss": 0.7191, + "step": 1348 + }, + { + "epoch": 1.31, + "grad_norm": 0.5827435255050659, + "learning_rate": 1.9395329441201e-05, + "loss": 0.7304, + "step": 1349 + }, + { + "epoch": 1.31, + "grad_norm": 0.7432641386985779, + "learning_rate": 1.9391159299416182e-05, + "loss": 0.7525, + "step": 1350 + }, + { + "epoch": 1.31, + "grad_norm": 0.7468642592430115, + "learning_rate": 1.938698915763136e-05, + "loss": 0.692, + "step": 1351 + }, + { + "epoch": 1.31, + "grad_norm": 0.866635262966156, + "learning_rate": 1.938281901584654e-05, + "loss": 0.9811, + "step": 1352 + }, + { + "epoch": 1.31, + "grad_norm": 0.8024325966835022, + "learning_rate": 1.937864887406172e-05, + "loss": 0.8674, + "step": 1353 + }, + { + "epoch": 1.31, + "grad_norm": 0.7399293184280396, + "learning_rate": 1.93744787322769e-05, + "loss": 0.8636, + "step": 1354 + }, + { + "epoch": 1.31, + "grad_norm": 0.7719677686691284, + "learning_rate": 1.9370308590492077e-05, + "loss": 0.963, + "step": 1355 + }, + { + "epoch": 1.31, + "grad_norm": 0.8342427611351013, + "learning_rate": 1.936613844870726e-05, + "loss": 0.9291, + "step": 1356 + }, + { + "epoch": 1.31, + "grad_norm": 0.6708924770355225, + "learning_rate": 1.9361968306922437e-05, + "loss": 0.714, + "step": 1357 + }, + { + "epoch": 1.31, + "grad_norm": 0.7287812829017639, + "learning_rate": 1.9357798165137615e-05, + "loss": 0.772, + "step": 1358 + }, + { + "epoch": 1.31, + "grad_norm": 0.748464822769165, + "learning_rate": 1.9353628023352797e-05, + "loss": 0.9217, + "step": 1359 + }, + { + "epoch": 1.32, + "grad_norm": 1.028035044670105, + "learning_rate": 1.9349457881567975e-05, + "loss": 1.0991, + "step": 1360 + }, + { + "epoch": 1.32, + "grad_norm": 0.6883030533790588, + "learning_rate": 1.9345287739783154e-05, + "loss": 0.8524, + "step": 1361 + }, + { + "epoch": 1.32, + "grad_norm": 0.8939159512519836, + "learning_rate": 1.9341117597998332e-05, + "loss": 0.9079, + "step": 1362 + }, + { + "epoch": 1.32, + "grad_norm": 1.1184077262878418, + "learning_rate": 1.933694745621351e-05, + "loss": 0.7271, + "step": 1363 + }, + { + "epoch": 1.32, + "grad_norm": 0.7476029992103577, + "learning_rate": 1.9332777314428692e-05, + "loss": 0.8943, + "step": 1364 + }, + { + "epoch": 1.32, + "grad_norm": 0.6401489973068237, + "learning_rate": 1.932860717264387e-05, + "loss": 0.7577, + "step": 1365 + }, + { + "epoch": 1.32, + "grad_norm": 0.7649396657943726, + "learning_rate": 1.932443703085905e-05, + "loss": 0.9558, + "step": 1366 + }, + { + "epoch": 1.32, + "grad_norm": 0.7098821997642517, + "learning_rate": 1.932026688907423e-05, + "loss": 1.0144, + "step": 1367 + }, + { + "epoch": 1.32, + "grad_norm": 0.6996802091598511, + "learning_rate": 1.931609674728941e-05, + "loss": 0.7878, + "step": 1368 + }, + { + "epoch": 1.32, + "grad_norm": 0.6539591550827026, + "learning_rate": 1.9311926605504587e-05, + "loss": 0.7096, + "step": 1369 + }, + { + "epoch": 1.33, + "grad_norm": 0.621764600276947, + "learning_rate": 1.9307756463719766e-05, + "loss": 0.6866, + "step": 1370 + }, + { + "epoch": 1.33, + "grad_norm": 0.8226015567779541, + "learning_rate": 1.9303586321934947e-05, + "loss": 0.9676, + "step": 1371 + }, + { + "epoch": 1.33, + "grad_norm": 0.742616593837738, + "learning_rate": 1.9299416180150126e-05, + "loss": 0.9353, + "step": 1372 + }, + { + "epoch": 1.33, + "grad_norm": 0.7227491736412048, + "learning_rate": 1.9295246038365304e-05, + "loss": 0.9391, + "step": 1373 + }, + { + "epoch": 1.33, + "grad_norm": 0.7602857351303101, + "learning_rate": 1.9291075896580486e-05, + "loss": 0.7664, + "step": 1374 + }, + { + "epoch": 1.33, + "grad_norm": 0.7154752612113953, + "learning_rate": 1.9286905754795664e-05, + "loss": 0.6929, + "step": 1375 + }, + { + "epoch": 1.33, + "grad_norm": 0.6573344469070435, + "learning_rate": 1.9282735613010842e-05, + "loss": 0.7959, + "step": 1376 + }, + { + "epoch": 1.33, + "grad_norm": 1.0185974836349487, + "learning_rate": 1.9278565471226024e-05, + "loss": 0.9861, + "step": 1377 + }, + { + "epoch": 1.33, + "grad_norm": 0.8726323843002319, + "learning_rate": 1.9274395329441202e-05, + "loss": 0.9988, + "step": 1378 + }, + { + "epoch": 1.33, + "grad_norm": 0.7904740571975708, + "learning_rate": 1.927022518765638e-05, + "loss": 0.8558, + "step": 1379 + }, + { + "epoch": 1.34, + "grad_norm": 0.7256088852882385, + "learning_rate": 1.9266055045871563e-05, + "loss": 0.779, + "step": 1380 + }, + { + "epoch": 1.34, + "grad_norm": 0.623297929763794, + "learning_rate": 1.926188490408674e-05, + "loss": 0.8905, + "step": 1381 + }, + { + "epoch": 1.34, + "grad_norm": 0.8444830775260925, + "learning_rate": 1.925771476230192e-05, + "loss": 0.9082, + "step": 1382 + }, + { + "epoch": 1.34, + "grad_norm": 1.310865879058838, + "learning_rate": 1.9253544620517098e-05, + "loss": 0.7927, + "step": 1383 + }, + { + "epoch": 1.34, + "grad_norm": 0.8616422414779663, + "learning_rate": 1.9249374478732276e-05, + "loss": 1.0529, + "step": 1384 + }, + { + "epoch": 1.34, + "grad_norm": 0.6560542583465576, + "learning_rate": 1.9245204336947458e-05, + "loss": 0.7733, + "step": 1385 + }, + { + "epoch": 1.34, + "grad_norm": 0.8313952684402466, + "learning_rate": 1.9241034195162636e-05, + "loss": 0.8337, + "step": 1386 + }, + { + "epoch": 1.34, + "grad_norm": 0.8393895626068115, + "learning_rate": 1.9236864053377814e-05, + "loss": 0.9296, + "step": 1387 + }, + { + "epoch": 1.34, + "grad_norm": 0.8424758315086365, + "learning_rate": 1.9232693911592996e-05, + "loss": 0.8995, + "step": 1388 + }, + { + "epoch": 1.34, + "grad_norm": 0.6894937753677368, + "learning_rate": 1.9228523769808174e-05, + "loss": 0.838, + "step": 1389 + }, + { + "epoch": 1.34, + "grad_norm": 0.9897966384887695, + "learning_rate": 1.9224353628023353e-05, + "loss": 1.0373, + "step": 1390 + }, + { + "epoch": 1.35, + "grad_norm": 1.075997233390808, + "learning_rate": 1.922018348623853e-05, + "loss": 0.818, + "step": 1391 + }, + { + "epoch": 1.35, + "grad_norm": 0.8024379014968872, + "learning_rate": 1.9216013344453713e-05, + "loss": 0.8734, + "step": 1392 + }, + { + "epoch": 1.35, + "grad_norm": 0.8624357581138611, + "learning_rate": 1.921184320266889e-05, + "loss": 0.8276, + "step": 1393 + }, + { + "epoch": 1.35, + "grad_norm": 0.7303786873817444, + "learning_rate": 1.920767306088407e-05, + "loss": 0.8544, + "step": 1394 + }, + { + "epoch": 1.35, + "grad_norm": 0.6707988977432251, + "learning_rate": 1.920350291909925e-05, + "loss": 0.7319, + "step": 1395 + }, + { + "epoch": 1.35, + "grad_norm": 0.7755019664764404, + "learning_rate": 1.919933277731443e-05, + "loss": 0.8832, + "step": 1396 + }, + { + "epoch": 1.35, + "grad_norm": 0.7205156087875366, + "learning_rate": 1.9195162635529608e-05, + "loss": 0.7328, + "step": 1397 + }, + { + "epoch": 1.35, + "grad_norm": 0.7709264159202576, + "learning_rate": 1.919099249374479e-05, + "loss": 0.6926, + "step": 1398 + }, + { + "epoch": 1.35, + "grad_norm": 0.8593284487724304, + "learning_rate": 1.9186822351959968e-05, + "loss": 0.7103, + "step": 1399 + }, + { + "epoch": 1.35, + "grad_norm": 0.6553032994270325, + "learning_rate": 1.9182652210175146e-05, + "loss": 0.8821, + "step": 1400 + }, + { + "epoch": 1.36, + "grad_norm": 0.7788107395172119, + "learning_rate": 1.9178482068390328e-05, + "loss": 0.845, + "step": 1401 + }, + { + "epoch": 1.36, + "grad_norm": 0.7270055413246155, + "learning_rate": 1.9174311926605506e-05, + "loss": 0.7133, + "step": 1402 + }, + { + "epoch": 1.36, + "grad_norm": 0.8876885771751404, + "learning_rate": 1.9170141784820685e-05, + "loss": 0.9408, + "step": 1403 + }, + { + "epoch": 1.36, + "grad_norm": 0.7064754366874695, + "learning_rate": 1.9165971643035866e-05, + "loss": 0.6491, + "step": 1404 + }, + { + "epoch": 1.36, + "grad_norm": 0.8008076548576355, + "learning_rate": 1.916180150125104e-05, + "loss": 0.6903, + "step": 1405 + }, + { + "epoch": 1.36, + "grad_norm": 0.7067212462425232, + "learning_rate": 1.9157631359466223e-05, + "loss": 0.8678, + "step": 1406 + }, + { + "epoch": 1.36, + "grad_norm": 0.7058507800102234, + "learning_rate": 1.91534612176814e-05, + "loss": 0.6203, + "step": 1407 + }, + { + "epoch": 1.36, + "grad_norm": 0.7545387744903564, + "learning_rate": 1.914929107589658e-05, + "loss": 0.8715, + "step": 1408 + }, + { + "epoch": 1.36, + "grad_norm": 0.7241551876068115, + "learning_rate": 1.914512093411176e-05, + "loss": 0.9395, + "step": 1409 + }, + { + "epoch": 1.36, + "grad_norm": 0.7197961211204529, + "learning_rate": 1.914095079232694e-05, + "loss": 0.8828, + "step": 1410 + }, + { + "epoch": 1.37, + "grad_norm": 0.7331131100654602, + "learning_rate": 1.9136780650542118e-05, + "loss": 0.8298, + "step": 1411 + }, + { + "epoch": 1.37, + "grad_norm": 0.6022123694419861, + "learning_rate": 1.9132610508757297e-05, + "loss": 0.7324, + "step": 1412 + }, + { + "epoch": 1.37, + "grad_norm": 1.1884979009628296, + "learning_rate": 1.912844036697248e-05, + "loss": 0.8761, + "step": 1413 + }, + { + "epoch": 1.37, + "grad_norm": 0.9622028470039368, + "learning_rate": 1.9124270225187657e-05, + "loss": 0.8471, + "step": 1414 + }, + { + "epoch": 1.37, + "grad_norm": 0.8984091877937317, + "learning_rate": 1.9120100083402835e-05, + "loss": 0.706, + "step": 1415 + }, + { + "epoch": 1.37, + "grad_norm": 0.8726335167884827, + "learning_rate": 1.9115929941618017e-05, + "loss": 0.7783, + "step": 1416 + }, + { + "epoch": 1.37, + "grad_norm": 0.8068650960922241, + "learning_rate": 1.9111759799833195e-05, + "loss": 0.7824, + "step": 1417 + }, + { + "epoch": 1.37, + "grad_norm": 0.9123047590255737, + "learning_rate": 1.9107589658048373e-05, + "loss": 0.933, + "step": 1418 + }, + { + "epoch": 1.37, + "grad_norm": 1.0565906763076782, + "learning_rate": 1.9103419516263555e-05, + "loss": 0.9924, + "step": 1419 + }, + { + "epoch": 1.37, + "grad_norm": 0.7026214003562927, + "learning_rate": 1.9099249374478733e-05, + "loss": 0.8831, + "step": 1420 + }, + { + "epoch": 1.37, + "grad_norm": 0.8069189786911011, + "learning_rate": 1.9095079232693912e-05, + "loss": 0.8155, + "step": 1421 + }, + { + "epoch": 1.38, + "grad_norm": 0.9264047145843506, + "learning_rate": 1.9090909090909094e-05, + "loss": 0.9265, + "step": 1422 + }, + { + "epoch": 1.38, + "grad_norm": 0.7889537215232849, + "learning_rate": 1.9086738949124272e-05, + "loss": 0.7999, + "step": 1423 + }, + { + "epoch": 1.38, + "grad_norm": 0.8087928295135498, + "learning_rate": 1.908256880733945e-05, + "loss": 0.8687, + "step": 1424 + }, + { + "epoch": 1.38, + "grad_norm": 0.8602674603462219, + "learning_rate": 1.9078398665554632e-05, + "loss": 0.7922, + "step": 1425 + }, + { + "epoch": 1.38, + "grad_norm": 0.8531413674354553, + "learning_rate": 1.907422852376981e-05, + "loss": 0.9468, + "step": 1426 + }, + { + "epoch": 1.38, + "grad_norm": 1.1742762327194214, + "learning_rate": 1.907005838198499e-05, + "loss": 0.8126, + "step": 1427 + }, + { + "epoch": 1.38, + "grad_norm": 0.7422329187393188, + "learning_rate": 1.9065888240200167e-05, + "loss": 0.9369, + "step": 1428 + }, + { + "epoch": 1.38, + "grad_norm": 0.650400698184967, + "learning_rate": 1.9061718098415345e-05, + "loss": 0.8686, + "step": 1429 + }, + { + "epoch": 1.38, + "grad_norm": 0.8440918326377869, + "learning_rate": 1.9057547956630527e-05, + "loss": 0.8117, + "step": 1430 + }, + { + "epoch": 1.38, + "grad_norm": 1.0520027875900269, + "learning_rate": 1.9053377814845705e-05, + "loss": 0.8004, + "step": 1431 + }, + { + "epoch": 1.39, + "grad_norm": 0.9198020100593567, + "learning_rate": 1.9049207673060884e-05, + "loss": 0.8564, + "step": 1432 + }, + { + "epoch": 1.39, + "grad_norm": 0.8190503716468811, + "learning_rate": 1.9045037531276062e-05, + "loss": 0.8611, + "step": 1433 + }, + { + "epoch": 1.39, + "grad_norm": 0.7609173655509949, + "learning_rate": 1.9040867389491244e-05, + "loss": 0.6819, + "step": 1434 + }, + { + "epoch": 1.39, + "grad_norm": 0.8388890624046326, + "learning_rate": 1.9036697247706422e-05, + "loss": 0.877, + "step": 1435 + }, + { + "epoch": 1.39, + "grad_norm": 0.7381657361984253, + "learning_rate": 1.90325271059216e-05, + "loss": 0.6953, + "step": 1436 + }, + { + "epoch": 1.39, + "grad_norm": 0.867630660533905, + "learning_rate": 1.9028356964136782e-05, + "loss": 0.9288, + "step": 1437 + }, + { + "epoch": 1.39, + "grad_norm": 0.6411866545677185, + "learning_rate": 1.902418682235196e-05, + "loss": 0.708, + "step": 1438 + }, + { + "epoch": 1.39, + "grad_norm": 0.7505174875259399, + "learning_rate": 1.902001668056714e-05, + "loss": 0.7428, + "step": 1439 + }, + { + "epoch": 1.39, + "grad_norm": 0.7729142308235168, + "learning_rate": 1.901584653878232e-05, + "loss": 0.8317, + "step": 1440 + }, + { + "epoch": 1.39, + "grad_norm": 0.7703062891960144, + "learning_rate": 1.90116763969975e-05, + "loss": 0.9196, + "step": 1441 + }, + { + "epoch": 1.4, + "grad_norm": 0.7821091413497925, + "learning_rate": 1.9007506255212677e-05, + "loss": 0.8062, + "step": 1442 + }, + { + "epoch": 1.4, + "grad_norm": 0.6746081113815308, + "learning_rate": 1.900333611342786e-05, + "loss": 0.7554, + "step": 1443 + }, + { + "epoch": 1.4, + "grad_norm": 0.9702749848365784, + "learning_rate": 1.8999165971643037e-05, + "loss": 0.9506, + "step": 1444 + }, + { + "epoch": 1.4, + "grad_norm": 0.7692257165908813, + "learning_rate": 1.8994995829858216e-05, + "loss": 0.7146, + "step": 1445 + }, + { + "epoch": 1.4, + "grad_norm": 0.899427056312561, + "learning_rate": 1.8990825688073397e-05, + "loss": 0.821, + "step": 1446 + }, + { + "epoch": 1.4, + "grad_norm": 0.9029175639152527, + "learning_rate": 1.8986655546288576e-05, + "loss": 0.7721, + "step": 1447 + }, + { + "epoch": 1.4, + "grad_norm": 0.7279440760612488, + "learning_rate": 1.8982485404503754e-05, + "loss": 0.9672, + "step": 1448 + }, + { + "epoch": 1.4, + "grad_norm": 0.8106020092964172, + "learning_rate": 1.8978315262718932e-05, + "loss": 0.8135, + "step": 1449 + }, + { + "epoch": 1.4, + "grad_norm": 1.1016241312026978, + "learning_rate": 1.897414512093411e-05, + "loss": 0.9337, + "step": 1450 + }, + { + "epoch": 1.4, + "grad_norm": 0.724337637424469, + "learning_rate": 1.8969974979149293e-05, + "loss": 0.8502, + "step": 1451 + }, + { + "epoch": 1.4, + "grad_norm": 0.7456713318824768, + "learning_rate": 1.896580483736447e-05, + "loss": 0.9134, + "step": 1452 + }, + { + "epoch": 1.41, + "grad_norm": 0.8018594980239868, + "learning_rate": 1.896163469557965e-05, + "loss": 0.8351, + "step": 1453 + }, + { + "epoch": 1.41, + "grad_norm": 0.7613210082054138, + "learning_rate": 1.8957464553794828e-05, + "loss": 0.7504, + "step": 1454 + }, + { + "epoch": 1.41, + "grad_norm": 1.1208992004394531, + "learning_rate": 1.895329441201001e-05, + "loss": 0.7791, + "step": 1455 + }, + { + "epoch": 1.41, + "grad_norm": 0.8968521952629089, + "learning_rate": 1.8949124270225188e-05, + "loss": 0.6822, + "step": 1456 + }, + { + "epoch": 1.41, + "grad_norm": 0.7526684403419495, + "learning_rate": 1.8944954128440366e-05, + "loss": 0.7943, + "step": 1457 + }, + { + "epoch": 1.41, + "grad_norm": 0.9919862747192383, + "learning_rate": 1.8940783986655548e-05, + "loss": 0.996, + "step": 1458 + }, + { + "epoch": 1.41, + "grad_norm": 0.9268872141838074, + "learning_rate": 1.8936613844870726e-05, + "loss": 0.8073, + "step": 1459 + }, + { + "epoch": 1.41, + "grad_norm": 0.6976467967033386, + "learning_rate": 1.8932443703085904e-05, + "loss": 0.9545, + "step": 1460 + }, + { + "epoch": 1.41, + "grad_norm": 0.8116968274116516, + "learning_rate": 1.8928273561301086e-05, + "loss": 0.8494, + "step": 1461 + }, + { + "epoch": 1.41, + "grad_norm": 1.0036202669143677, + "learning_rate": 1.8924103419516264e-05, + "loss": 0.8823, + "step": 1462 + }, + { + "epoch": 1.42, + "grad_norm": 0.7704646587371826, + "learning_rate": 1.8919933277731443e-05, + "loss": 0.9013, + "step": 1463 + }, + { + "epoch": 1.42, + "grad_norm": 1.4045714139938354, + "learning_rate": 1.8915763135946625e-05, + "loss": 0.8364, + "step": 1464 + }, + { + "epoch": 1.42, + "grad_norm": 0.6476083993911743, + "learning_rate": 1.8911592994161803e-05, + "loss": 0.7381, + "step": 1465 + }, + { + "epoch": 1.42, + "grad_norm": 0.8766645789146423, + "learning_rate": 1.890742285237698e-05, + "loss": 0.9145, + "step": 1466 + }, + { + "epoch": 1.42, + "grad_norm": 0.8681319952011108, + "learning_rate": 1.8903252710592163e-05, + "loss": 0.8221, + "step": 1467 + }, + { + "epoch": 1.42, + "grad_norm": 0.8430099487304688, + "learning_rate": 1.889908256880734e-05, + "loss": 0.7752, + "step": 1468 + }, + { + "epoch": 1.42, + "grad_norm": 0.5787277817726135, + "learning_rate": 1.889491242702252e-05, + "loss": 0.8627, + "step": 1469 + }, + { + "epoch": 1.42, + "grad_norm": 1.1568094491958618, + "learning_rate": 1.88907422852377e-05, + "loss": 0.7652, + "step": 1470 + }, + { + "epoch": 1.42, + "grad_norm": 0.7506060004234314, + "learning_rate": 1.8886572143452876e-05, + "loss": 0.9003, + "step": 1471 + }, + { + "epoch": 1.42, + "grad_norm": 0.8345839381217957, + "learning_rate": 1.8882402001668058e-05, + "loss": 0.7206, + "step": 1472 + }, + { + "epoch": 1.43, + "grad_norm": 0.9071716070175171, + "learning_rate": 1.8878231859883236e-05, + "loss": 0.7203, + "step": 1473 + }, + { + "epoch": 1.43, + "grad_norm": 0.8114016652107239, + "learning_rate": 1.8874061718098415e-05, + "loss": 0.7653, + "step": 1474 + }, + { + "epoch": 1.43, + "grad_norm": 0.7059634327888489, + "learning_rate": 1.8869891576313593e-05, + "loss": 0.7109, + "step": 1475 + }, + { + "epoch": 1.43, + "grad_norm": 0.7925973534584045, + "learning_rate": 1.8865721434528775e-05, + "loss": 0.7387, + "step": 1476 + }, + { + "epoch": 1.43, + "grad_norm": 0.8599631190299988, + "learning_rate": 1.8861551292743953e-05, + "loss": 0.8622, + "step": 1477 + }, + { + "epoch": 1.43, + "grad_norm": 0.8250440955162048, + "learning_rate": 1.885738115095913e-05, + "loss": 0.8251, + "step": 1478 + }, + { + "epoch": 1.43, + "grad_norm": 0.9636850357055664, + "learning_rate": 1.8853211009174313e-05, + "loss": 0.8504, + "step": 1479 + }, + { + "epoch": 1.43, + "grad_norm": 0.8147855401039124, + "learning_rate": 1.884904086738949e-05, + "loss": 0.8293, + "step": 1480 + }, + { + "epoch": 1.43, + "grad_norm": 0.727703869342804, + "learning_rate": 1.884487072560467e-05, + "loss": 0.6925, + "step": 1481 + }, + { + "epoch": 1.43, + "grad_norm": 0.879079282283783, + "learning_rate": 1.884070058381985e-05, + "loss": 0.8537, + "step": 1482 + }, + { + "epoch": 1.43, + "grad_norm": 0.7544656991958618, + "learning_rate": 1.883653044203503e-05, + "loss": 0.7574, + "step": 1483 + }, + { + "epoch": 1.44, + "grad_norm": 0.8666123151779175, + "learning_rate": 1.883236030025021e-05, + "loss": 0.809, + "step": 1484 + }, + { + "epoch": 1.44, + "grad_norm": 0.6860565543174744, + "learning_rate": 1.882819015846539e-05, + "loss": 0.9681, + "step": 1485 + }, + { + "epoch": 1.44, + "grad_norm": 0.8169941306114197, + "learning_rate": 1.882402001668057e-05, + "loss": 0.7989, + "step": 1486 + }, + { + "epoch": 1.44, + "grad_norm": 0.8143579363822937, + "learning_rate": 1.8819849874895747e-05, + "loss": 0.8068, + "step": 1487 + }, + { + "epoch": 1.44, + "grad_norm": 0.7847554683685303, + "learning_rate": 1.881567973311093e-05, + "loss": 0.8061, + "step": 1488 + }, + { + "epoch": 1.44, + "grad_norm": 0.7997915148735046, + "learning_rate": 1.8811509591326107e-05, + "loss": 0.8588, + "step": 1489 + }, + { + "epoch": 1.44, + "grad_norm": 0.7640638947486877, + "learning_rate": 1.8807339449541285e-05, + "loss": 0.7585, + "step": 1490 + }, + { + "epoch": 1.44, + "grad_norm": 0.9093492031097412, + "learning_rate": 1.8803169307756467e-05, + "loss": 0.9889, + "step": 1491 + }, + { + "epoch": 1.44, + "grad_norm": 0.9176318049430847, + "learning_rate": 1.8798999165971645e-05, + "loss": 0.9125, + "step": 1492 + }, + { + "epoch": 1.44, + "grad_norm": 1.0743461847305298, + "learning_rate": 1.8794829024186824e-05, + "loss": 0.7086, + "step": 1493 + }, + { + "epoch": 1.45, + "grad_norm": 0.7761045694351196, + "learning_rate": 1.8790658882402002e-05, + "loss": 0.7781, + "step": 1494 + }, + { + "epoch": 1.45, + "grad_norm": 0.7887628674507141, + "learning_rate": 1.878648874061718e-05, + "loss": 0.7524, + "step": 1495 + }, + { + "epoch": 1.45, + "grad_norm": 0.8005184531211853, + "learning_rate": 1.878231859883236e-05, + "loss": 0.722, + "step": 1496 + }, + { + "epoch": 1.45, + "grad_norm": 0.7777974605560303, + "learning_rate": 1.877814845704754e-05, + "loss": 0.9368, + "step": 1497 + }, + { + "epoch": 1.45, + "grad_norm": 1.0789202451705933, + "learning_rate": 1.877397831526272e-05, + "loss": 0.8666, + "step": 1498 + }, + { + "epoch": 1.45, + "grad_norm": 0.7893933653831482, + "learning_rate": 1.8769808173477897e-05, + "loss": 0.8123, + "step": 1499 + }, + { + "epoch": 1.45, + "grad_norm": 0.7819249629974365, + "learning_rate": 1.876563803169308e-05, + "loss": 0.763, + "step": 1500 + }, + { + "epoch": 1.45, + "eval_loss": 0.871242344379425, + "eval_runtime": 857.5825, + "eval_samples_per_second": 4.821, + "eval_steps_per_second": 0.603, + "step": 1500 + }, + { + "epoch": 1.45, + "grad_norm": 0.8692439794540405, + "learning_rate": 1.8761467889908257e-05, + "loss": 0.9606, + "step": 1501 + }, + { + "epoch": 1.45, + "grad_norm": 0.7838341593742371, + "learning_rate": 1.8757297748123435e-05, + "loss": 0.8665, + "step": 1502 + }, + { + "epoch": 1.45, + "grad_norm": 1.0466808080673218, + "learning_rate": 1.8753127606338617e-05, + "loss": 0.983, + "step": 1503 + }, + { + "epoch": 1.46, + "grad_norm": 0.8549627065658569, + "learning_rate": 1.8748957464553795e-05, + "loss": 1.0315, + "step": 1504 + }, + { + "epoch": 1.46, + "grad_norm": 0.7587802410125732, + "learning_rate": 1.8744787322768974e-05, + "loss": 0.8742, + "step": 1505 + }, + { + "epoch": 1.46, + "grad_norm": 0.8488778471946716, + "learning_rate": 1.8740617180984156e-05, + "loss": 0.8419, + "step": 1506 + }, + { + "epoch": 1.46, + "grad_norm": 0.8127396106719971, + "learning_rate": 1.8736447039199334e-05, + "loss": 0.9126, + "step": 1507 + }, + { + "epoch": 1.46, + "grad_norm": 1.052557349205017, + "learning_rate": 1.8732276897414512e-05, + "loss": 0.7145, + "step": 1508 + }, + { + "epoch": 1.46, + "grad_norm": 0.770553469657898, + "learning_rate": 1.8728106755629694e-05, + "loss": 0.7613, + "step": 1509 + }, + { + "epoch": 1.46, + "grad_norm": 0.6669489741325378, + "learning_rate": 1.8723936613844872e-05, + "loss": 0.8852, + "step": 1510 + }, + { + "epoch": 1.46, + "grad_norm": 0.9949691891670227, + "learning_rate": 1.871976647206005e-05, + "loss": 0.8851, + "step": 1511 + }, + { + "epoch": 1.46, + "grad_norm": 0.7732131481170654, + "learning_rate": 1.8715596330275232e-05, + "loss": 1.0275, + "step": 1512 + }, + { + "epoch": 1.46, + "grad_norm": 0.9463417530059814, + "learning_rate": 1.871142618849041e-05, + "loss": 0.9208, + "step": 1513 + }, + { + "epoch": 1.46, + "grad_norm": 0.7356176376342773, + "learning_rate": 1.870725604670559e-05, + "loss": 0.9814, + "step": 1514 + }, + { + "epoch": 1.47, + "grad_norm": 0.8080406785011292, + "learning_rate": 1.8703085904920767e-05, + "loss": 0.7941, + "step": 1515 + }, + { + "epoch": 1.47, + "grad_norm": 0.7663989663124084, + "learning_rate": 1.8698915763135946e-05, + "loss": 0.821, + "step": 1516 + }, + { + "epoch": 1.47, + "grad_norm": 0.8629295825958252, + "learning_rate": 1.8694745621351124e-05, + "loss": 0.8901, + "step": 1517 + }, + { + "epoch": 1.47, + "grad_norm": 0.9633663892745972, + "learning_rate": 1.8690575479566306e-05, + "loss": 0.9098, + "step": 1518 + }, + { + "epoch": 1.47, + "grad_norm": 0.8047828674316406, + "learning_rate": 1.8686405337781484e-05, + "loss": 0.8545, + "step": 1519 + }, + { + "epoch": 1.47, + "grad_norm": 0.7656811475753784, + "learning_rate": 1.8682235195996663e-05, + "loss": 0.8388, + "step": 1520 + }, + { + "epoch": 1.47, + "grad_norm": 0.744891345500946, + "learning_rate": 1.8678065054211844e-05, + "loss": 0.8674, + "step": 1521 + }, + { + "epoch": 1.47, + "grad_norm": 0.8585422039031982, + "learning_rate": 1.8673894912427023e-05, + "loss": 0.8654, + "step": 1522 + }, + { + "epoch": 1.47, + "grad_norm": 1.1280771493911743, + "learning_rate": 1.86697247706422e-05, + "loss": 0.7828, + "step": 1523 + }, + { + "epoch": 1.47, + "grad_norm": 1.0447564125061035, + "learning_rate": 1.8665554628857383e-05, + "loss": 0.9513, + "step": 1524 + }, + { + "epoch": 1.48, + "grad_norm": 0.8294857144355774, + "learning_rate": 1.866138448707256e-05, + "loss": 0.8698, + "step": 1525 + }, + { + "epoch": 1.48, + "grad_norm": 0.7473172545433044, + "learning_rate": 1.865721434528774e-05, + "loss": 0.8612, + "step": 1526 + }, + { + "epoch": 1.48, + "grad_norm": 0.7271237373352051, + "learning_rate": 1.865304420350292e-05, + "loss": 0.9307, + "step": 1527 + }, + { + "epoch": 1.48, + "grad_norm": 0.6466917991638184, + "learning_rate": 1.86488740617181e-05, + "loss": 0.8465, + "step": 1528 + }, + { + "epoch": 1.48, + "grad_norm": 0.706737220287323, + "learning_rate": 1.8644703919933278e-05, + "loss": 0.6345, + "step": 1529 + }, + { + "epoch": 1.48, + "grad_norm": 0.6726969480514526, + "learning_rate": 1.864053377814846e-05, + "loss": 0.8703, + "step": 1530 + }, + { + "epoch": 1.48, + "grad_norm": 0.6319617629051208, + "learning_rate": 1.8636363636363638e-05, + "loss": 0.8407, + "step": 1531 + }, + { + "epoch": 1.48, + "grad_norm": 0.7861160039901733, + "learning_rate": 1.8632193494578816e-05, + "loss": 0.7671, + "step": 1532 + }, + { + "epoch": 1.48, + "grad_norm": 0.7598016858100891, + "learning_rate": 1.8628023352793998e-05, + "loss": 0.8163, + "step": 1533 + }, + { + "epoch": 1.48, + "grad_norm": 0.627629816532135, + "learning_rate": 1.8623853211009176e-05, + "loss": 0.8446, + "step": 1534 + }, + { + "epoch": 1.49, + "grad_norm": 0.7758449912071228, + "learning_rate": 1.8619683069224355e-05, + "loss": 0.7007, + "step": 1535 + }, + { + "epoch": 1.49, + "grad_norm": 0.8927205801010132, + "learning_rate": 1.8615512927439536e-05, + "loss": 0.8813, + "step": 1536 + }, + { + "epoch": 1.49, + "grad_norm": 0.8728731274604797, + "learning_rate": 1.861134278565471e-05, + "loss": 0.7473, + "step": 1537 + }, + { + "epoch": 1.49, + "grad_norm": 1.0451692342758179, + "learning_rate": 1.860717264386989e-05, + "loss": 0.6651, + "step": 1538 + }, + { + "epoch": 1.49, + "grad_norm": 0.6660237312316895, + "learning_rate": 1.860300250208507e-05, + "loss": 0.7542, + "step": 1539 + }, + { + "epoch": 1.49, + "grad_norm": 0.6746510863304138, + "learning_rate": 1.859883236030025e-05, + "loss": 0.7332, + "step": 1540 + }, + { + "epoch": 1.49, + "grad_norm": 0.7730705738067627, + "learning_rate": 1.8594662218515428e-05, + "loss": 0.843, + "step": 1541 + }, + { + "epoch": 1.49, + "grad_norm": 0.9507487416267395, + "learning_rate": 1.859049207673061e-05, + "loss": 0.71, + "step": 1542 + }, + { + "epoch": 1.49, + "grad_norm": 0.7842820882797241, + "learning_rate": 1.8586321934945788e-05, + "loss": 0.9618, + "step": 1543 + }, + { + "epoch": 1.49, + "grad_norm": 0.7449144721031189, + "learning_rate": 1.8582151793160966e-05, + "loss": 0.8335, + "step": 1544 + }, + { + "epoch": 1.49, + "grad_norm": 0.9146220684051514, + "learning_rate": 1.8577981651376148e-05, + "loss": 0.9998, + "step": 1545 + }, + { + "epoch": 1.5, + "grad_norm": 0.7806065678596497, + "learning_rate": 1.8573811509591326e-05, + "loss": 0.837, + "step": 1546 + }, + { + "epoch": 1.5, + "grad_norm": 0.8013559579849243, + "learning_rate": 1.8569641367806505e-05, + "loss": 0.9106, + "step": 1547 + }, + { + "epoch": 1.5, + "grad_norm": 0.8379461169242859, + "learning_rate": 1.8565471226021687e-05, + "loss": 0.9738, + "step": 1548 + }, + { + "epoch": 1.5, + "grad_norm": 0.7779140472412109, + "learning_rate": 1.8561301084236865e-05, + "loss": 0.827, + "step": 1549 + }, + { + "epoch": 1.5, + "grad_norm": 0.699379026889801, + "learning_rate": 1.8557130942452043e-05, + "loss": 0.8041, + "step": 1550 + }, + { + "epoch": 1.5, + "grad_norm": 0.6524652242660522, + "learning_rate": 1.8552960800667225e-05, + "loss": 0.9011, + "step": 1551 + }, + { + "epoch": 1.5, + "grad_norm": 0.7560880184173584, + "learning_rate": 1.8548790658882403e-05, + "loss": 0.7102, + "step": 1552 + }, + { + "epoch": 1.5, + "grad_norm": 0.744448721408844, + "learning_rate": 1.854462051709758e-05, + "loss": 0.6881, + "step": 1553 + }, + { + "epoch": 1.5, + "grad_norm": 0.9030277132987976, + "learning_rate": 1.8540450375312763e-05, + "loss": 0.7182, + "step": 1554 + }, + { + "epoch": 1.5, + "grad_norm": 0.7792443037033081, + "learning_rate": 1.8536280233527942e-05, + "loss": 0.7096, + "step": 1555 + }, + { + "epoch": 1.51, + "grad_norm": 0.7212502956390381, + "learning_rate": 1.853211009174312e-05, + "loss": 0.8655, + "step": 1556 + }, + { + "epoch": 1.51, + "grad_norm": 0.7443561553955078, + "learning_rate": 1.8527939949958302e-05, + "loss": 0.8565, + "step": 1557 + }, + { + "epoch": 1.51, + "grad_norm": 0.7545742988586426, + "learning_rate": 1.852376980817348e-05, + "loss": 0.6798, + "step": 1558 + }, + { + "epoch": 1.51, + "grad_norm": 0.730262041091919, + "learning_rate": 1.8519599666388655e-05, + "loss": 0.9289, + "step": 1559 + }, + { + "epoch": 1.51, + "grad_norm": 0.9507002234458923, + "learning_rate": 1.8515429524603837e-05, + "loss": 0.8787, + "step": 1560 + }, + { + "epoch": 1.51, + "grad_norm": 0.6963874697685242, + "learning_rate": 1.8511259382819015e-05, + "loss": 0.7989, + "step": 1561 + }, + { + "epoch": 1.51, + "grad_norm": 0.955804169178009, + "learning_rate": 1.8507089241034194e-05, + "loss": 0.981, + "step": 1562 + }, + { + "epoch": 1.51, + "grad_norm": 0.7722706198692322, + "learning_rate": 1.8502919099249375e-05, + "loss": 0.7855, + "step": 1563 + }, + { + "epoch": 1.51, + "grad_norm": 0.6576076745986938, + "learning_rate": 1.8498748957464554e-05, + "loss": 0.81, + "step": 1564 + }, + { + "epoch": 1.51, + "grad_norm": 0.8198294639587402, + "learning_rate": 1.8494578815679732e-05, + "loss": 0.8512, + "step": 1565 + }, + { + "epoch": 1.52, + "grad_norm": 0.8364382386207581, + "learning_rate": 1.8490408673894914e-05, + "loss": 0.8166, + "step": 1566 + }, + { + "epoch": 1.52, + "grad_norm": 0.9703118801116943, + "learning_rate": 1.8486238532110092e-05, + "loss": 0.8879, + "step": 1567 + }, + { + "epoch": 1.52, + "grad_norm": 0.7897139191627502, + "learning_rate": 1.848206839032527e-05, + "loss": 0.7364, + "step": 1568 + }, + { + "epoch": 1.52, + "grad_norm": 0.7382344603538513, + "learning_rate": 1.8477898248540452e-05, + "loss": 0.7649, + "step": 1569 + }, + { + "epoch": 1.52, + "grad_norm": 0.8831870555877686, + "learning_rate": 1.847372810675563e-05, + "loss": 0.9566, + "step": 1570 + }, + { + "epoch": 1.52, + "grad_norm": 0.7121156454086304, + "learning_rate": 1.846955796497081e-05, + "loss": 0.6838, + "step": 1571 + }, + { + "epoch": 1.52, + "grad_norm": 0.7791978716850281, + "learning_rate": 1.846538782318599e-05, + "loss": 0.8732, + "step": 1572 + }, + { + "epoch": 1.52, + "grad_norm": 0.7803041934967041, + "learning_rate": 1.846121768140117e-05, + "loss": 0.7352, + "step": 1573 + }, + { + "epoch": 1.52, + "grad_norm": 0.9254148006439209, + "learning_rate": 1.8457047539616347e-05, + "loss": 0.8446, + "step": 1574 + }, + { + "epoch": 1.52, + "grad_norm": 0.7888645529747009, + "learning_rate": 1.845287739783153e-05, + "loss": 0.6746, + "step": 1575 + }, + { + "epoch": 1.52, + "grad_norm": 0.8266612887382507, + "learning_rate": 1.8448707256046707e-05, + "loss": 0.7875, + "step": 1576 + }, + { + "epoch": 1.53, + "grad_norm": 0.8741608262062073, + "learning_rate": 1.8444537114261886e-05, + "loss": 0.8976, + "step": 1577 + }, + { + "epoch": 1.53, + "grad_norm": 3.1531920433044434, + "learning_rate": 1.8440366972477067e-05, + "loss": 0.8121, + "step": 1578 + }, + { + "epoch": 1.53, + "grad_norm": 0.7760798335075378, + "learning_rate": 1.8436196830692246e-05, + "loss": 0.8068, + "step": 1579 + }, + { + "epoch": 1.53, + "grad_norm": 0.8203509449958801, + "learning_rate": 1.8432026688907424e-05, + "loss": 0.7687, + "step": 1580 + }, + { + "epoch": 1.53, + "grad_norm": 0.8816039562225342, + "learning_rate": 1.8427856547122602e-05, + "loss": 0.9351, + "step": 1581 + }, + { + "epoch": 1.53, + "grad_norm": 0.802864670753479, + "learning_rate": 1.842368640533778e-05, + "loss": 0.8244, + "step": 1582 + }, + { + "epoch": 1.53, + "grad_norm": 0.9025200605392456, + "learning_rate": 1.841951626355296e-05, + "loss": 0.7951, + "step": 1583 + }, + { + "epoch": 1.53, + "grad_norm": 0.8814740180969238, + "learning_rate": 1.841534612176814e-05, + "loss": 0.8203, + "step": 1584 + }, + { + "epoch": 1.53, + "grad_norm": 0.7308328151702881, + "learning_rate": 1.841117597998332e-05, + "loss": 0.8518, + "step": 1585 + }, + { + "epoch": 1.53, + "grad_norm": 0.8501223921775818, + "learning_rate": 1.8407005838198497e-05, + "loss": 0.7385, + "step": 1586 + }, + { + "epoch": 1.54, + "grad_norm": 0.6498897075653076, + "learning_rate": 1.840283569641368e-05, + "loss": 0.6711, + "step": 1587 + }, + { + "epoch": 1.54, + "grad_norm": 0.7590372562408447, + "learning_rate": 1.8398665554628857e-05, + "loss": 0.7371, + "step": 1588 + }, + { + "epoch": 1.54, + "grad_norm": 0.8676318526268005, + "learning_rate": 1.8394495412844036e-05, + "loss": 0.935, + "step": 1589 + }, + { + "epoch": 1.54, + "grad_norm": 0.7311364412307739, + "learning_rate": 1.8390325271059218e-05, + "loss": 0.7584, + "step": 1590 + }, + { + "epoch": 1.54, + "grad_norm": 0.6720906496047974, + "learning_rate": 1.8386155129274396e-05, + "loss": 0.8509, + "step": 1591 + }, + { + "epoch": 1.54, + "grad_norm": 0.9036455750465393, + "learning_rate": 1.8381984987489574e-05, + "loss": 0.8185, + "step": 1592 + }, + { + "epoch": 1.54, + "grad_norm": 0.6870003342628479, + "learning_rate": 1.8377814845704756e-05, + "loss": 0.8719, + "step": 1593 + }, + { + "epoch": 1.54, + "grad_norm": 0.794909656047821, + "learning_rate": 1.8373644703919934e-05, + "loss": 0.9176, + "step": 1594 + }, + { + "epoch": 1.54, + "grad_norm": 0.9724681377410889, + "learning_rate": 1.8369474562135113e-05, + "loss": 0.9391, + "step": 1595 + }, + { + "epoch": 1.54, + "grad_norm": 1.1446982622146606, + "learning_rate": 1.8365304420350294e-05, + "loss": 0.7543, + "step": 1596 + }, + { + "epoch": 1.55, + "grad_norm": 0.7076694965362549, + "learning_rate": 1.8361134278565473e-05, + "loss": 0.8322, + "step": 1597 + }, + { + "epoch": 1.55, + "grad_norm": 0.7667426466941833, + "learning_rate": 1.835696413678065e-05, + "loss": 1.0562, + "step": 1598 + }, + { + "epoch": 1.55, + "grad_norm": 0.705640435218811, + "learning_rate": 1.8352793994995833e-05, + "loss": 0.7272, + "step": 1599 + }, + { + "epoch": 1.55, + "grad_norm": 0.7533010840415955, + "learning_rate": 1.834862385321101e-05, + "loss": 0.7302, + "step": 1600 + }, + { + "epoch": 1.55, + "grad_norm": 0.8193255066871643, + "learning_rate": 1.834445371142619e-05, + "loss": 0.7166, + "step": 1601 + }, + { + "epoch": 1.55, + "grad_norm": 0.9107953906059265, + "learning_rate": 1.834028356964137e-05, + "loss": 0.8096, + "step": 1602 + }, + { + "epoch": 1.55, + "grad_norm": 0.7240647673606873, + "learning_rate": 1.8336113427856546e-05, + "loss": 0.8227, + "step": 1603 + }, + { + "epoch": 1.55, + "grad_norm": 0.9343478679656982, + "learning_rate": 1.8331943286071725e-05, + "loss": 0.781, + "step": 1604 + }, + { + "epoch": 1.55, + "grad_norm": 0.6681409478187561, + "learning_rate": 1.8327773144286906e-05, + "loss": 0.6842, + "step": 1605 + }, + { + "epoch": 1.55, + "grad_norm": 0.8248748779296875, + "learning_rate": 1.8323603002502085e-05, + "loss": 0.7609, + "step": 1606 + }, + { + "epoch": 1.55, + "grad_norm": 0.7890187501907349, + "learning_rate": 1.8319432860717263e-05, + "loss": 0.7312, + "step": 1607 + }, + { + "epoch": 1.56, + "grad_norm": 0.7297053933143616, + "learning_rate": 1.8315262718932445e-05, + "loss": 0.7855, + "step": 1608 + }, + { + "epoch": 1.56, + "grad_norm": 1.020443081855774, + "learning_rate": 1.8311092577147623e-05, + "loss": 0.9251, + "step": 1609 + }, + { + "epoch": 1.56, + "grad_norm": 0.9824992418289185, + "learning_rate": 1.83069224353628e-05, + "loss": 0.8638, + "step": 1610 + }, + { + "epoch": 1.56, + "grad_norm": 0.8015655875205994, + "learning_rate": 1.8302752293577983e-05, + "loss": 0.7658, + "step": 1611 + }, + { + "epoch": 1.56, + "grad_norm": 0.8788244128227234, + "learning_rate": 1.829858215179316e-05, + "loss": 0.6648, + "step": 1612 + }, + { + "epoch": 1.56, + "grad_norm": 0.797801673412323, + "learning_rate": 1.829441201000834e-05, + "loss": 0.8113, + "step": 1613 + }, + { + "epoch": 1.56, + "grad_norm": 0.7691337466239929, + "learning_rate": 1.829024186822352e-05, + "loss": 0.8691, + "step": 1614 + }, + { + "epoch": 1.56, + "grad_norm": 0.9911805987358093, + "learning_rate": 1.82860717264387e-05, + "loss": 0.9046, + "step": 1615 + }, + { + "epoch": 1.56, + "grad_norm": 0.6806455254554749, + "learning_rate": 1.8281901584653878e-05, + "loss": 0.7813, + "step": 1616 + }, + { + "epoch": 1.56, + "grad_norm": 1.2665965557098389, + "learning_rate": 1.827773144286906e-05, + "loss": 0.9037, + "step": 1617 + }, + { + "epoch": 1.57, + "grad_norm": 0.9018226861953735, + "learning_rate": 1.8273561301084238e-05, + "loss": 0.8545, + "step": 1618 + }, + { + "epoch": 1.57, + "grad_norm": 0.6414604783058167, + "learning_rate": 1.8269391159299417e-05, + "loss": 0.7655, + "step": 1619 + }, + { + "epoch": 1.57, + "grad_norm": 0.9529421329498291, + "learning_rate": 1.8265221017514598e-05, + "loss": 0.772, + "step": 1620 + }, + { + "epoch": 1.57, + "grad_norm": 0.8454800248146057, + "learning_rate": 1.8261050875729777e-05, + "loss": 0.818, + "step": 1621 + }, + { + "epoch": 1.57, + "grad_norm": 1.1051985025405884, + "learning_rate": 1.8256880733944955e-05, + "loss": 0.7911, + "step": 1622 + }, + { + "epoch": 1.57, + "grad_norm": 0.6973373293876648, + "learning_rate": 1.8252710592160137e-05, + "loss": 0.7237, + "step": 1623 + }, + { + "epoch": 1.57, + "grad_norm": 0.7481981515884399, + "learning_rate": 1.8248540450375315e-05, + "loss": 0.7902, + "step": 1624 + }, + { + "epoch": 1.57, + "grad_norm": 0.7207560539245605, + "learning_rate": 1.824437030859049e-05, + "loss": 0.7941, + "step": 1625 + }, + { + "epoch": 1.57, + "grad_norm": 1.1000559329986572, + "learning_rate": 1.8240200166805672e-05, + "loss": 0.7167, + "step": 1626 + }, + { + "epoch": 1.57, + "grad_norm": 0.8454039692878723, + "learning_rate": 1.823603002502085e-05, + "loss": 0.821, + "step": 1627 + }, + { + "epoch": 1.58, + "grad_norm": 0.9232093691825867, + "learning_rate": 1.823185988323603e-05, + "loss": 0.8228, + "step": 1628 + }, + { + "epoch": 1.58, + "grad_norm": 0.7570505738258362, + "learning_rate": 1.822768974145121e-05, + "loss": 0.9258, + "step": 1629 + }, + { + "epoch": 1.58, + "grad_norm": 0.711843729019165, + "learning_rate": 1.822351959966639e-05, + "loss": 0.8076, + "step": 1630 + }, + { + "epoch": 1.58, + "grad_norm": 0.9278578162193298, + "learning_rate": 1.8219349457881567e-05, + "loss": 0.9639, + "step": 1631 + }, + { + "epoch": 1.58, + "grad_norm": 0.7191492915153503, + "learning_rate": 1.821517931609675e-05, + "loss": 0.8149, + "step": 1632 + }, + { + "epoch": 1.58, + "grad_norm": 0.8379666805267334, + "learning_rate": 1.8211009174311927e-05, + "loss": 0.7932, + "step": 1633 + }, + { + "epoch": 1.58, + "grad_norm": 0.9242769479751587, + "learning_rate": 1.8206839032527105e-05, + "loss": 0.9331, + "step": 1634 + }, + { + "epoch": 1.58, + "grad_norm": 0.95824134349823, + "learning_rate": 1.8202668890742287e-05, + "loss": 0.8162, + "step": 1635 + }, + { + "epoch": 1.58, + "grad_norm": 0.8193747401237488, + "learning_rate": 1.8198498748957465e-05, + "loss": 0.8595, + "step": 1636 + }, + { + "epoch": 1.58, + "grad_norm": 0.8027563095092773, + "learning_rate": 1.8194328607172644e-05, + "loss": 0.7526, + "step": 1637 + }, + { + "epoch": 1.58, + "grad_norm": 1.0662225484848022, + "learning_rate": 1.8190158465387825e-05, + "loss": 0.8652, + "step": 1638 + }, + { + "epoch": 1.59, + "grad_norm": 1.0124140977859497, + "learning_rate": 1.8185988323603004e-05, + "loss": 0.8588, + "step": 1639 + }, + { + "epoch": 1.59, + "grad_norm": 0.9352964758872986, + "learning_rate": 1.8181818181818182e-05, + "loss": 0.8028, + "step": 1640 + }, + { + "epoch": 1.59, + "grad_norm": 0.8786833882331848, + "learning_rate": 1.8177648040033364e-05, + "loss": 0.906, + "step": 1641 + }, + { + "epoch": 1.59, + "grad_norm": 1.090198040008545, + "learning_rate": 1.8173477898248542e-05, + "loss": 0.8772, + "step": 1642 + }, + { + "epoch": 1.59, + "grad_norm": 0.8615359663963318, + "learning_rate": 1.816930775646372e-05, + "loss": 0.8237, + "step": 1643 + }, + { + "epoch": 1.59, + "grad_norm": 0.6417995095252991, + "learning_rate": 1.8165137614678902e-05, + "loss": 0.7159, + "step": 1644 + }, + { + "epoch": 1.59, + "grad_norm": 0.8465497493743896, + "learning_rate": 1.816096747289408e-05, + "loss": 0.8872, + "step": 1645 + }, + { + "epoch": 1.59, + "grad_norm": 0.8617416620254517, + "learning_rate": 1.815679733110926e-05, + "loss": 0.7546, + "step": 1646 + }, + { + "epoch": 1.59, + "grad_norm": 1.0238404273986816, + "learning_rate": 1.815262718932444e-05, + "loss": 1.1149, + "step": 1647 + }, + { + "epoch": 1.59, + "grad_norm": 0.9248356819152832, + "learning_rate": 1.8148457047539616e-05, + "loss": 0.8032, + "step": 1648 + }, + { + "epoch": 1.6, + "grad_norm": 0.8079115152359009, + "learning_rate": 1.8144286905754794e-05, + "loss": 0.9436, + "step": 1649 + }, + { + "epoch": 1.6, + "grad_norm": 0.7776393890380859, + "learning_rate": 1.8140116763969976e-05, + "loss": 0.9093, + "step": 1650 + }, + { + "epoch": 1.6, + "grad_norm": 0.8430098295211792, + "learning_rate": 1.8135946622185154e-05, + "loss": 0.8618, + "step": 1651 + }, + { + "epoch": 1.6, + "grad_norm": 0.9216378927230835, + "learning_rate": 1.8131776480400332e-05, + "loss": 0.8478, + "step": 1652 + }, + { + "epoch": 1.6, + "grad_norm": 0.8068110942840576, + "learning_rate": 1.8127606338615514e-05, + "loss": 0.9022, + "step": 1653 + }, + { + "epoch": 1.6, + "grad_norm": 0.8386297821998596, + "learning_rate": 1.8123436196830692e-05, + "loss": 0.8576, + "step": 1654 + }, + { + "epoch": 1.6, + "grad_norm": 0.744140088558197, + "learning_rate": 1.811926605504587e-05, + "loss": 0.8838, + "step": 1655 + }, + { + "epoch": 1.6, + "grad_norm": 0.9847753643989563, + "learning_rate": 1.8115095913261052e-05, + "loss": 0.9553, + "step": 1656 + }, + { + "epoch": 1.6, + "grad_norm": 0.7151947021484375, + "learning_rate": 1.811092577147623e-05, + "loss": 0.8394, + "step": 1657 + }, + { + "epoch": 1.6, + "grad_norm": 0.9213670492172241, + "learning_rate": 1.810675562969141e-05, + "loss": 1.0244, + "step": 1658 + }, + { + "epoch": 1.61, + "grad_norm": 0.8335891962051392, + "learning_rate": 1.810258548790659e-05, + "loss": 0.75, + "step": 1659 + }, + { + "epoch": 1.61, + "grad_norm": 0.8224090933799744, + "learning_rate": 1.809841534612177e-05, + "loss": 0.8115, + "step": 1660 + }, + { + "epoch": 1.61, + "grad_norm": 0.738777220249176, + "learning_rate": 1.8094245204336948e-05, + "loss": 0.8232, + "step": 1661 + }, + { + "epoch": 1.61, + "grad_norm": 1.0434327125549316, + "learning_rate": 1.809007506255213e-05, + "loss": 0.8798, + "step": 1662 + }, + { + "epoch": 1.61, + "grad_norm": 0.7528599500656128, + "learning_rate": 1.8085904920767308e-05, + "loss": 0.9006, + "step": 1663 + }, + { + "epoch": 1.61, + "grad_norm": 0.8302431106567383, + "learning_rate": 1.8081734778982486e-05, + "loss": 0.7415, + "step": 1664 + }, + { + "epoch": 1.61, + "grad_norm": 1.015629529953003, + "learning_rate": 1.8077564637197668e-05, + "loss": 0.7307, + "step": 1665 + }, + { + "epoch": 1.61, + "grad_norm": 0.84159916639328, + "learning_rate": 1.8073394495412846e-05, + "loss": 0.7125, + "step": 1666 + }, + { + "epoch": 1.61, + "grad_norm": 0.7835220694541931, + "learning_rate": 1.8069224353628024e-05, + "loss": 1.0384, + "step": 1667 + }, + { + "epoch": 1.61, + "grad_norm": 0.8341156840324402, + "learning_rate": 1.8065054211843206e-05, + "loss": 0.8274, + "step": 1668 + }, + { + "epoch": 1.61, + "grad_norm": 1.0113221406936646, + "learning_rate": 1.8060884070058384e-05, + "loss": 0.8758, + "step": 1669 + }, + { + "epoch": 1.62, + "grad_norm": 0.6076321601867676, + "learning_rate": 1.805671392827356e-05, + "loss": 0.8207, + "step": 1670 + }, + { + "epoch": 1.62, + "grad_norm": 0.8578894734382629, + "learning_rate": 1.805254378648874e-05, + "loss": 0.8043, + "step": 1671 + }, + { + "epoch": 1.62, + "grad_norm": 0.7304589748382568, + "learning_rate": 1.804837364470392e-05, + "loss": 0.8057, + "step": 1672 + }, + { + "epoch": 1.62, + "grad_norm": 0.8000970482826233, + "learning_rate": 1.8044203502919098e-05, + "loss": 0.8525, + "step": 1673 + }, + { + "epoch": 1.62, + "grad_norm": 0.774325966835022, + "learning_rate": 1.804003336113428e-05, + "loss": 0.7161, + "step": 1674 + }, + { + "epoch": 1.62, + "grad_norm": 1.0207993984222412, + "learning_rate": 1.8035863219349458e-05, + "loss": 0.7786, + "step": 1675 + }, + { + "epoch": 1.62, + "grad_norm": 0.8753023147583008, + "learning_rate": 1.8031693077564636e-05, + "loss": 0.8744, + "step": 1676 + }, + { + "epoch": 1.62, + "grad_norm": 0.7735598087310791, + "learning_rate": 1.8027522935779818e-05, + "loss": 0.7703, + "step": 1677 + }, + { + "epoch": 1.62, + "grad_norm": 0.7807956337928772, + "learning_rate": 1.8023352793994996e-05, + "loss": 0.8925, + "step": 1678 + }, + { + "epoch": 1.62, + "grad_norm": 0.7507041096687317, + "learning_rate": 1.8019182652210175e-05, + "loss": 0.867, + "step": 1679 + }, + { + "epoch": 1.63, + "grad_norm": 1.0467255115509033, + "learning_rate": 1.8015012510425356e-05, + "loss": 0.8839, + "step": 1680 + }, + { + "epoch": 1.63, + "grad_norm": 1.023447036743164, + "learning_rate": 1.8010842368640535e-05, + "loss": 0.7672, + "step": 1681 + }, + { + "epoch": 1.63, + "grad_norm": 0.7567567229270935, + "learning_rate": 1.8006672226855713e-05, + "loss": 0.8605, + "step": 1682 + }, + { + "epoch": 1.63, + "grad_norm": 0.9755353927612305, + "learning_rate": 1.8002502085070895e-05, + "loss": 0.7873, + "step": 1683 + }, + { + "epoch": 1.63, + "grad_norm": 1.7185343503952026, + "learning_rate": 1.7998331943286073e-05, + "loss": 0.873, + "step": 1684 + }, + { + "epoch": 1.63, + "grad_norm": 0.8041819334030151, + "learning_rate": 1.799416180150125e-05, + "loss": 0.6697, + "step": 1685 + }, + { + "epoch": 1.63, + "grad_norm": 0.7738972306251526, + "learning_rate": 1.7989991659716433e-05, + "loss": 0.68, + "step": 1686 + }, + { + "epoch": 1.63, + "grad_norm": 0.9564333558082581, + "learning_rate": 1.798582151793161e-05, + "loss": 0.7973, + "step": 1687 + }, + { + "epoch": 1.63, + "grad_norm": 0.8185580372810364, + "learning_rate": 1.798165137614679e-05, + "loss": 1.0458, + "step": 1688 + }, + { + "epoch": 1.63, + "grad_norm": 0.8119357228279114, + "learning_rate": 1.797748123436197e-05, + "loss": 0.9143, + "step": 1689 + }, + { + "epoch": 1.64, + "grad_norm": 0.931611180305481, + "learning_rate": 1.797331109257715e-05, + "loss": 0.9133, + "step": 1690 + }, + { + "epoch": 1.64, + "grad_norm": 0.8448360562324524, + "learning_rate": 1.796914095079233e-05, + "loss": 0.7197, + "step": 1691 + }, + { + "epoch": 1.64, + "grad_norm": 0.9312836527824402, + "learning_rate": 1.7964970809007507e-05, + "loss": 0.9306, + "step": 1692 + }, + { + "epoch": 1.64, + "grad_norm": 0.7027466893196106, + "learning_rate": 1.7960800667222685e-05, + "loss": 0.7918, + "step": 1693 + }, + { + "epoch": 1.64, + "grad_norm": 0.7993695735931396, + "learning_rate": 1.7956630525437863e-05, + "loss": 0.8601, + "step": 1694 + }, + { + "epoch": 1.64, + "grad_norm": 0.8035930395126343, + "learning_rate": 1.7952460383653045e-05, + "loss": 0.7048, + "step": 1695 + }, + { + "epoch": 1.64, + "grad_norm": 0.7916481494903564, + "learning_rate": 1.7948290241868223e-05, + "loss": 0.7933, + "step": 1696 + }, + { + "epoch": 1.64, + "grad_norm": 0.9629079103469849, + "learning_rate": 1.7944120100083402e-05, + "loss": 0.9828, + "step": 1697 + }, + { + "epoch": 1.64, + "grad_norm": 0.7505074143409729, + "learning_rate": 1.7939949958298583e-05, + "loss": 0.7116, + "step": 1698 + }, + { + "epoch": 1.64, + "grad_norm": 0.8372009992599487, + "learning_rate": 1.7935779816513762e-05, + "loss": 0.9645, + "step": 1699 + }, + { + "epoch": 1.64, + "grad_norm": 0.9150531888008118, + "learning_rate": 1.793160967472894e-05, + "loss": 0.8217, + "step": 1700 + }, + { + "epoch": 1.65, + "grad_norm": 0.7872468829154968, + "learning_rate": 1.7927439532944122e-05, + "loss": 0.9103, + "step": 1701 + }, + { + "epoch": 1.65, + "grad_norm": 0.8153537511825562, + "learning_rate": 1.79232693911593e-05, + "loss": 0.7742, + "step": 1702 + }, + { + "epoch": 1.65, + "grad_norm": 0.8404550552368164, + "learning_rate": 1.791909924937448e-05, + "loss": 0.869, + "step": 1703 + }, + { + "epoch": 1.65, + "grad_norm": 0.6884734630584717, + "learning_rate": 1.791492910758966e-05, + "loss": 0.7636, + "step": 1704 + }, + { + "epoch": 1.65, + "grad_norm": 0.9122765064239502, + "learning_rate": 1.791075896580484e-05, + "loss": 0.8674, + "step": 1705 + }, + { + "epoch": 1.65, + "grad_norm": 0.6864152550697327, + "learning_rate": 1.7906588824020017e-05, + "loss": 0.6575, + "step": 1706 + }, + { + "epoch": 1.65, + "grad_norm": 0.834182620048523, + "learning_rate": 1.79024186822352e-05, + "loss": 0.7004, + "step": 1707 + }, + { + "epoch": 1.65, + "grad_norm": 1.353200078010559, + "learning_rate": 1.7898248540450377e-05, + "loss": 1.0248, + "step": 1708 + }, + { + "epoch": 1.65, + "grad_norm": 0.7796334028244019, + "learning_rate": 1.7894078398665555e-05, + "loss": 0.8255, + "step": 1709 + }, + { + "epoch": 1.65, + "grad_norm": 0.818475067615509, + "learning_rate": 1.7889908256880737e-05, + "loss": 0.8674, + "step": 1710 + }, + { + "epoch": 1.66, + "grad_norm": 0.8358771800994873, + "learning_rate": 1.7885738115095915e-05, + "loss": 0.7623, + "step": 1711 + }, + { + "epoch": 1.66, + "grad_norm": 0.7257820963859558, + "learning_rate": 1.7881567973311094e-05, + "loss": 0.7912, + "step": 1712 + }, + { + "epoch": 1.66, + "grad_norm": 0.9863290786743164, + "learning_rate": 1.7877397831526276e-05, + "loss": 0.788, + "step": 1713 + }, + { + "epoch": 1.66, + "grad_norm": 0.8087139129638672, + "learning_rate": 1.787322768974145e-05, + "loss": 0.9185, + "step": 1714 + }, + { + "epoch": 1.66, + "grad_norm": 0.7827026844024658, + "learning_rate": 1.786905754795663e-05, + "loss": 0.8531, + "step": 1715 + }, + { + "epoch": 1.66, + "grad_norm": 0.9225147366523743, + "learning_rate": 1.786488740617181e-05, + "loss": 0.7373, + "step": 1716 + }, + { + "epoch": 1.66, + "grad_norm": 0.881395697593689, + "learning_rate": 1.786071726438699e-05, + "loss": 0.8318, + "step": 1717 + }, + { + "epoch": 1.66, + "grad_norm": 0.6525933146476746, + "learning_rate": 1.7856547122602167e-05, + "loss": 0.7021, + "step": 1718 + }, + { + "epoch": 1.66, + "grad_norm": 0.8098580837249756, + "learning_rate": 1.785237698081735e-05, + "loss": 0.9401, + "step": 1719 + }, + { + "epoch": 1.66, + "grad_norm": 0.7711836695671082, + "learning_rate": 1.7848206839032527e-05, + "loss": 0.9033, + "step": 1720 + }, + { + "epoch": 1.67, + "grad_norm": 0.7667900919914246, + "learning_rate": 1.7844036697247706e-05, + "loss": 0.77, + "step": 1721 + }, + { + "epoch": 1.67, + "grad_norm": 0.7552671432495117, + "learning_rate": 1.7839866555462887e-05, + "loss": 0.8104, + "step": 1722 + }, + { + "epoch": 1.67, + "grad_norm": 1.1332640647888184, + "learning_rate": 1.7835696413678066e-05, + "loss": 0.9068, + "step": 1723 + }, + { + "epoch": 1.67, + "grad_norm": 0.7232931852340698, + "learning_rate": 1.7831526271893244e-05, + "loss": 0.8001, + "step": 1724 + }, + { + "epoch": 1.67, + "grad_norm": 0.9784232974052429, + "learning_rate": 1.7827356130108426e-05, + "loss": 0.8423, + "step": 1725 + }, + { + "epoch": 1.67, + "grad_norm": 0.7042108774185181, + "learning_rate": 1.7823185988323604e-05, + "loss": 0.7827, + "step": 1726 + }, + { + "epoch": 1.67, + "grad_norm": 0.9210599064826965, + "learning_rate": 1.7819015846538782e-05, + "loss": 0.842, + "step": 1727 + }, + { + "epoch": 1.67, + "grad_norm": 0.8466029167175293, + "learning_rate": 1.7814845704753964e-05, + "loss": 0.9266, + "step": 1728 + }, + { + "epoch": 1.67, + "grad_norm": 0.9242193102836609, + "learning_rate": 1.7810675562969143e-05, + "loss": 0.8252, + "step": 1729 + }, + { + "epoch": 1.67, + "grad_norm": 0.7381421327590942, + "learning_rate": 1.780650542118432e-05, + "loss": 0.7778, + "step": 1730 + }, + { + "epoch": 1.67, + "grad_norm": 0.8165715336799622, + "learning_rate": 1.7802335279399503e-05, + "loss": 0.9077, + "step": 1731 + }, + { + "epoch": 1.68, + "grad_norm": 0.8147749304771423, + "learning_rate": 1.779816513761468e-05, + "loss": 0.8206, + "step": 1732 + }, + { + "epoch": 1.68, + "grad_norm": 0.8320120573043823, + "learning_rate": 1.779399499582986e-05, + "loss": 0.9127, + "step": 1733 + }, + { + "epoch": 1.68, + "grad_norm": 1.0501035451889038, + "learning_rate": 1.778982485404504e-05, + "loss": 0.9218, + "step": 1734 + }, + { + "epoch": 1.68, + "grad_norm": 0.7990756630897522, + "learning_rate": 1.778565471226022e-05, + "loss": 0.8661, + "step": 1735 + }, + { + "epoch": 1.68, + "grad_norm": 0.9449700117111206, + "learning_rate": 1.7781484570475394e-05, + "loss": 0.7409, + "step": 1736 + }, + { + "epoch": 1.68, + "grad_norm": 0.7482835054397583, + "learning_rate": 1.7777314428690576e-05, + "loss": 0.9377, + "step": 1737 + }, + { + "epoch": 1.68, + "grad_norm": 0.963591456413269, + "learning_rate": 1.7773144286905754e-05, + "loss": 0.7991, + "step": 1738 + }, + { + "epoch": 1.68, + "grad_norm": 1.0148097276687622, + "learning_rate": 1.7768974145120933e-05, + "loss": 0.7898, + "step": 1739 + }, + { + "epoch": 1.68, + "grad_norm": 0.7579374313354492, + "learning_rate": 1.7764804003336114e-05, + "loss": 0.845, + "step": 1740 + }, + { + "epoch": 1.68, + "grad_norm": 0.8758991360664368, + "learning_rate": 1.7760633861551293e-05, + "loss": 0.8367, + "step": 1741 + }, + { + "epoch": 1.69, + "grad_norm": 0.8835285305976868, + "learning_rate": 1.775646371976647e-05, + "loss": 0.991, + "step": 1742 + }, + { + "epoch": 1.69, + "grad_norm": 0.9174976348876953, + "learning_rate": 1.7752293577981653e-05, + "loss": 0.6914, + "step": 1743 + }, + { + "epoch": 1.69, + "grad_norm": 1.0379441976547241, + "learning_rate": 1.774812343619683e-05, + "loss": 0.8373, + "step": 1744 + }, + { + "epoch": 1.69, + "grad_norm": 1.1465861797332764, + "learning_rate": 1.774395329441201e-05, + "loss": 0.997, + "step": 1745 + }, + { + "epoch": 1.69, + "grad_norm": 0.7542076706886292, + "learning_rate": 1.773978315262719e-05, + "loss": 0.8227, + "step": 1746 + }, + { + "epoch": 1.69, + "grad_norm": 1.037988543510437, + "learning_rate": 1.773561301084237e-05, + "loss": 0.7624, + "step": 1747 + }, + { + "epoch": 1.69, + "grad_norm": 0.7575449347496033, + "learning_rate": 1.7731442869057548e-05, + "loss": 0.6185, + "step": 1748 + }, + { + "epoch": 1.69, + "grad_norm": 0.7777297496795654, + "learning_rate": 1.772727272727273e-05, + "loss": 0.8791, + "step": 1749 + }, + { + "epoch": 1.69, + "grad_norm": 1.0413368940353394, + "learning_rate": 1.7723102585487908e-05, + "loss": 0.8822, + "step": 1750 + }, + { + "epoch": 1.69, + "grad_norm": 0.7360999584197998, + "learning_rate": 1.7718932443703086e-05, + "loss": 0.7802, + "step": 1751 + }, + { + "epoch": 1.7, + "grad_norm": 0.9362186193466187, + "learning_rate": 1.7714762301918268e-05, + "loss": 0.6683, + "step": 1752 + }, + { + "epoch": 1.7, + "grad_norm": 0.8205580711364746, + "learning_rate": 1.7710592160133446e-05, + "loss": 0.9117, + "step": 1753 + }, + { + "epoch": 1.7, + "grad_norm": 0.8914121389389038, + "learning_rate": 1.7706422018348625e-05, + "loss": 0.8948, + "step": 1754 + }, + { + "epoch": 1.7, + "grad_norm": 0.6617481708526611, + "learning_rate": 1.7702251876563807e-05, + "loss": 0.8078, + "step": 1755 + }, + { + "epoch": 1.7, + "grad_norm": 0.7167691588401794, + "learning_rate": 1.7698081734778985e-05, + "loss": 0.6561, + "step": 1756 + }, + { + "epoch": 1.7, + "grad_norm": 1.1626098155975342, + "learning_rate": 1.7693911592994163e-05, + "loss": 0.7563, + "step": 1757 + }, + { + "epoch": 1.7, + "grad_norm": 0.8461595773696899, + "learning_rate": 1.768974145120934e-05, + "loss": 0.9293, + "step": 1758 + }, + { + "epoch": 1.7, + "grad_norm": 0.7592915296554565, + "learning_rate": 1.768557130942452e-05, + "loss": 0.8521, + "step": 1759 + }, + { + "epoch": 1.7, + "grad_norm": 0.6608263850212097, + "learning_rate": 1.7681401167639698e-05, + "loss": 0.7259, + "step": 1760 + }, + { + "epoch": 1.7, + "grad_norm": 1.026168704032898, + "learning_rate": 1.767723102585488e-05, + "loss": 0.8629, + "step": 1761 + }, + { + "epoch": 1.7, + "grad_norm": 0.8388960957527161, + "learning_rate": 1.767306088407006e-05, + "loss": 0.6435, + "step": 1762 + }, + { + "epoch": 1.71, + "grad_norm": 0.678015947341919, + "learning_rate": 1.7668890742285237e-05, + "loss": 0.7869, + "step": 1763 + }, + { + "epoch": 1.71, + "grad_norm": 0.764815092086792, + "learning_rate": 1.766472060050042e-05, + "loss": 0.7919, + "step": 1764 + }, + { + "epoch": 1.71, + "grad_norm": 0.8817489147186279, + "learning_rate": 1.7660550458715597e-05, + "loss": 0.9021, + "step": 1765 + }, + { + "epoch": 1.71, + "grad_norm": 0.7883895635604858, + "learning_rate": 1.7656380316930775e-05, + "loss": 0.7686, + "step": 1766 + }, + { + "epoch": 1.71, + "grad_norm": 0.9572280645370483, + "learning_rate": 1.7652210175145957e-05, + "loss": 0.8425, + "step": 1767 + }, + { + "epoch": 1.71, + "grad_norm": 1.4102299213409424, + "learning_rate": 1.7648040033361135e-05, + "loss": 0.967, + "step": 1768 + }, + { + "epoch": 1.71, + "grad_norm": 0.9890419840812683, + "learning_rate": 1.7643869891576313e-05, + "loss": 0.7866, + "step": 1769 + }, + { + "epoch": 1.71, + "grad_norm": 0.860346257686615, + "learning_rate": 1.7639699749791495e-05, + "loss": 0.8758, + "step": 1770 + }, + { + "epoch": 1.71, + "grad_norm": 0.9208323955535889, + "learning_rate": 1.7635529608006674e-05, + "loss": 0.8238, + "step": 1771 + }, + { + "epoch": 1.71, + "grad_norm": 0.8451298475265503, + "learning_rate": 1.7631359466221852e-05, + "loss": 0.7938, + "step": 1772 + }, + { + "epoch": 1.72, + "grad_norm": 0.9332848191261292, + "learning_rate": 1.7627189324437034e-05, + "loss": 0.7303, + "step": 1773 + }, + { + "epoch": 1.72, + "grad_norm": 0.862797200679779, + "learning_rate": 1.7623019182652212e-05, + "loss": 0.7883, + "step": 1774 + }, + { + "epoch": 1.72, + "grad_norm": 0.7441637516021729, + "learning_rate": 1.761884904086739e-05, + "loss": 0.8135, + "step": 1775 + }, + { + "epoch": 1.72, + "grad_norm": 0.8760831356048584, + "learning_rate": 1.7614678899082572e-05, + "loss": 0.827, + "step": 1776 + }, + { + "epoch": 1.72, + "grad_norm": 0.88194340467453, + "learning_rate": 1.761050875729775e-05, + "loss": 0.7008, + "step": 1777 + }, + { + "epoch": 1.72, + "grad_norm": 0.7899963855743408, + "learning_rate": 1.760633861551293e-05, + "loss": 0.9298, + "step": 1778 + }, + { + "epoch": 1.72, + "grad_norm": 0.8682978749275208, + "learning_rate": 1.760216847372811e-05, + "loss": 0.8539, + "step": 1779 + }, + { + "epoch": 1.72, + "grad_norm": 0.7832294702529907, + "learning_rate": 1.7597998331943285e-05, + "loss": 0.7882, + "step": 1780 + }, + { + "epoch": 1.72, + "grad_norm": 0.7660926580429077, + "learning_rate": 1.7593828190158464e-05, + "loss": 0.7549, + "step": 1781 + }, + { + "epoch": 1.72, + "grad_norm": 0.7938675880432129, + "learning_rate": 1.7589658048373645e-05, + "loss": 0.7694, + "step": 1782 + }, + { + "epoch": 1.73, + "grad_norm": 0.7042688727378845, + "learning_rate": 1.7585487906588824e-05, + "loss": 0.7894, + "step": 1783 + }, + { + "epoch": 1.73, + "grad_norm": 0.8984127044677734, + "learning_rate": 1.7581317764804002e-05, + "loss": 0.9194, + "step": 1784 + }, + { + "epoch": 1.73, + "grad_norm": 0.6885473132133484, + "learning_rate": 1.7577147623019184e-05, + "loss": 0.965, + "step": 1785 + }, + { + "epoch": 1.73, + "grad_norm": 0.8690687417984009, + "learning_rate": 1.7572977481234362e-05, + "loss": 0.8322, + "step": 1786 + }, + { + "epoch": 1.73, + "grad_norm": 0.7581307291984558, + "learning_rate": 1.756880733944954e-05, + "loss": 0.9476, + "step": 1787 + }, + { + "epoch": 1.73, + "grad_norm": 0.8515567779541016, + "learning_rate": 1.7564637197664722e-05, + "loss": 0.7377, + "step": 1788 + }, + { + "epoch": 1.73, + "grad_norm": 0.787506639957428, + "learning_rate": 1.75604670558799e-05, + "loss": 0.7041, + "step": 1789 + }, + { + "epoch": 1.73, + "grad_norm": 0.8878019452095032, + "learning_rate": 1.755629691409508e-05, + "loss": 0.8118, + "step": 1790 + }, + { + "epoch": 1.73, + "grad_norm": 0.7240238785743713, + "learning_rate": 1.755212677231026e-05, + "loss": 0.8861, + "step": 1791 + }, + { + "epoch": 1.73, + "grad_norm": 1.1576913595199585, + "learning_rate": 1.754795663052544e-05, + "loss": 0.8405, + "step": 1792 + }, + { + "epoch": 1.73, + "grad_norm": 0.7732038497924805, + "learning_rate": 1.7543786488740617e-05, + "loss": 0.7662, + "step": 1793 + }, + { + "epoch": 1.74, + "grad_norm": 0.7518349885940552, + "learning_rate": 1.75396163469558e-05, + "loss": 0.7457, + "step": 1794 + }, + { + "epoch": 1.74, + "grad_norm": 1.6275423765182495, + "learning_rate": 1.7535446205170977e-05, + "loss": 0.7151, + "step": 1795 + }, + { + "epoch": 1.74, + "grad_norm": 0.8274548053741455, + "learning_rate": 1.7531276063386156e-05, + "loss": 0.7321, + "step": 1796 + }, + { + "epoch": 1.74, + "grad_norm": 1.0424867868423462, + "learning_rate": 1.7527105921601338e-05, + "loss": 0.8234, + "step": 1797 + }, + { + "epoch": 1.74, + "grad_norm": 0.8563442826271057, + "learning_rate": 1.7522935779816516e-05, + "loss": 0.8473, + "step": 1798 + }, + { + "epoch": 1.74, + "grad_norm": 0.8610655665397644, + "learning_rate": 1.7518765638031694e-05, + "loss": 0.7996, + "step": 1799 + }, + { + "epoch": 1.74, + "grad_norm": 0.752511203289032, + "learning_rate": 1.7514595496246876e-05, + "loss": 0.7765, + "step": 1800 + }, + { + "epoch": 1.74, + "eval_loss": 0.8626589179039001, + "eval_runtime": 862.8025, + "eval_samples_per_second": 4.791, + "eval_steps_per_second": 0.599, + "step": 1800 + }, + { + "epoch": 1.74, + "grad_norm": 0.8216622471809387, + "learning_rate": 1.7510425354462054e-05, + "loss": 0.9049, + "step": 1801 + }, + { + "epoch": 1.74, + "grad_norm": 0.5976946949958801, + "learning_rate": 1.750625521267723e-05, + "loss": 0.6178, + "step": 1802 + }, + { + "epoch": 1.74, + "grad_norm": 0.7039956450462341, + "learning_rate": 1.750208507089241e-05, + "loss": 0.7501, + "step": 1803 + }, + { + "epoch": 1.75, + "grad_norm": 0.8404366970062256, + "learning_rate": 1.749791492910759e-05, + "loss": 0.8109, + "step": 1804 + }, + { + "epoch": 1.75, + "grad_norm": 0.9064878225326538, + "learning_rate": 1.7493744787322768e-05, + "loss": 0.7961, + "step": 1805 + }, + { + "epoch": 1.75, + "grad_norm": 0.7227636575698853, + "learning_rate": 1.748957464553795e-05, + "loss": 0.8216, + "step": 1806 + }, + { + "epoch": 1.75, + "grad_norm": 0.8178094625473022, + "learning_rate": 1.7485404503753128e-05, + "loss": 0.7931, + "step": 1807 + }, + { + "epoch": 1.75, + "grad_norm": 0.9173809885978699, + "learning_rate": 1.7481234361968306e-05, + "loss": 0.7369, + "step": 1808 + }, + { + "epoch": 1.75, + "grad_norm": 0.8242172598838806, + "learning_rate": 1.7477064220183488e-05, + "loss": 0.8749, + "step": 1809 + }, + { + "epoch": 1.75, + "grad_norm": 0.9444348216056824, + "learning_rate": 1.7472894078398666e-05, + "loss": 0.7656, + "step": 1810 + }, + { + "epoch": 1.75, + "grad_norm": 0.8121030926704407, + "learning_rate": 1.7468723936613844e-05, + "loss": 0.733, + "step": 1811 + }, + { + "epoch": 1.75, + "grad_norm": 1.2162821292877197, + "learning_rate": 1.7464553794829026e-05, + "loss": 0.7853, + "step": 1812 + }, + { + "epoch": 1.75, + "grad_norm": 0.9831513166427612, + "learning_rate": 1.7460383653044205e-05, + "loss": 0.7158, + "step": 1813 + }, + { + "epoch": 1.76, + "grad_norm": 0.8049758672714233, + "learning_rate": 1.7456213511259383e-05, + "loss": 0.8673, + "step": 1814 + }, + { + "epoch": 1.76, + "grad_norm": 0.7187381386756897, + "learning_rate": 1.7452043369474565e-05, + "loss": 0.7264, + "step": 1815 + }, + { + "epoch": 1.76, + "grad_norm": 2.0458984375, + "learning_rate": 1.7447873227689743e-05, + "loss": 0.7434, + "step": 1816 + }, + { + "epoch": 1.76, + "grad_norm": 1.0027613639831543, + "learning_rate": 1.744370308590492e-05, + "loss": 0.8379, + "step": 1817 + }, + { + "epoch": 1.76, + "grad_norm": 0.8949549198150635, + "learning_rate": 1.7439532944120103e-05, + "loss": 0.7071, + "step": 1818 + }, + { + "epoch": 1.76, + "grad_norm": 0.9022464156150818, + "learning_rate": 1.743536280233528e-05, + "loss": 0.8813, + "step": 1819 + }, + { + "epoch": 1.76, + "grad_norm": 1.3778258562088013, + "learning_rate": 1.743119266055046e-05, + "loss": 0.8618, + "step": 1820 + }, + { + "epoch": 1.76, + "grad_norm": 0.8009255528450012, + "learning_rate": 1.742702251876564e-05, + "loss": 0.9393, + "step": 1821 + }, + { + "epoch": 1.76, + "grad_norm": 0.7717322707176208, + "learning_rate": 1.742285237698082e-05, + "loss": 0.8179, + "step": 1822 + }, + { + "epoch": 1.76, + "grad_norm": 0.851547122001648, + "learning_rate": 1.7418682235195998e-05, + "loss": 0.6764, + "step": 1823 + }, + { + "epoch": 1.76, + "grad_norm": 0.801809549331665, + "learning_rate": 1.7414512093411176e-05, + "loss": 0.8195, + "step": 1824 + }, + { + "epoch": 1.77, + "grad_norm": 0.7500004768371582, + "learning_rate": 1.7410341951626355e-05, + "loss": 0.744, + "step": 1825 + }, + { + "epoch": 1.77, + "grad_norm": 0.9615828990936279, + "learning_rate": 1.7406171809841533e-05, + "loss": 0.832, + "step": 1826 + }, + { + "epoch": 1.77, + "grad_norm": 0.8031662702560425, + "learning_rate": 1.7402001668056715e-05, + "loss": 0.7308, + "step": 1827 + }, + { + "epoch": 1.77, + "grad_norm": 0.805879533290863, + "learning_rate": 1.7397831526271893e-05, + "loss": 0.8665, + "step": 1828 + }, + { + "epoch": 1.77, + "grad_norm": 1.1586287021636963, + "learning_rate": 1.739366138448707e-05, + "loss": 1.1431, + "step": 1829 + }, + { + "epoch": 1.77, + "grad_norm": 0.853313148021698, + "learning_rate": 1.7389491242702253e-05, + "loss": 0.819, + "step": 1830 + }, + { + "epoch": 1.77, + "grad_norm": 0.7445648312568665, + "learning_rate": 1.738532110091743e-05, + "loss": 0.7807, + "step": 1831 + }, + { + "epoch": 1.77, + "grad_norm": 0.6921424269676208, + "learning_rate": 1.738115095913261e-05, + "loss": 0.8227, + "step": 1832 + }, + { + "epoch": 1.77, + "grad_norm": 0.9826859831809998, + "learning_rate": 1.7376980817347792e-05, + "loss": 0.9834, + "step": 1833 + }, + { + "epoch": 1.77, + "grad_norm": 0.8965365886688232, + "learning_rate": 1.737281067556297e-05, + "loss": 0.7602, + "step": 1834 + }, + { + "epoch": 1.78, + "grad_norm": 0.9462845921516418, + "learning_rate": 1.736864053377815e-05, + "loss": 0.7717, + "step": 1835 + }, + { + "epoch": 1.78, + "grad_norm": 0.8679606914520264, + "learning_rate": 1.736447039199333e-05, + "loss": 0.8344, + "step": 1836 + }, + { + "epoch": 1.78, + "grad_norm": 0.9480140209197998, + "learning_rate": 1.736030025020851e-05, + "loss": 0.797, + "step": 1837 + }, + { + "epoch": 1.78, + "grad_norm": 0.7790759801864624, + "learning_rate": 1.7356130108423687e-05, + "loss": 0.774, + "step": 1838 + }, + { + "epoch": 1.78, + "grad_norm": 0.8301435112953186, + "learning_rate": 1.735195996663887e-05, + "loss": 0.7498, + "step": 1839 + }, + { + "epoch": 1.78, + "grad_norm": 1.0001728534698486, + "learning_rate": 1.7347789824854047e-05, + "loss": 0.903, + "step": 1840 + }, + { + "epoch": 1.78, + "grad_norm": 0.6066152453422546, + "learning_rate": 1.7343619683069225e-05, + "loss": 0.6881, + "step": 1841 + }, + { + "epoch": 1.78, + "grad_norm": 0.957733154296875, + "learning_rate": 1.7339449541284407e-05, + "loss": 0.7895, + "step": 1842 + }, + { + "epoch": 1.78, + "grad_norm": 0.8171789646148682, + "learning_rate": 1.7335279399499585e-05, + "loss": 0.9087, + "step": 1843 + }, + { + "epoch": 1.78, + "grad_norm": 0.8456124663352966, + "learning_rate": 1.7331109257714764e-05, + "loss": 0.9041, + "step": 1844 + }, + { + "epoch": 1.79, + "grad_norm": 0.7525486946105957, + "learning_rate": 1.7326939115929945e-05, + "loss": 0.8761, + "step": 1845 + }, + { + "epoch": 1.79, + "grad_norm": 0.7014135122299194, + "learning_rate": 1.732276897414512e-05, + "loss": 0.7946, + "step": 1846 + }, + { + "epoch": 1.79, + "grad_norm": 0.7960447072982788, + "learning_rate": 1.73185988323603e-05, + "loss": 0.8243, + "step": 1847 + }, + { + "epoch": 1.79, + "grad_norm": 0.8012869358062744, + "learning_rate": 1.731442869057548e-05, + "loss": 0.8242, + "step": 1848 + }, + { + "epoch": 1.79, + "grad_norm": 1.0381433963775635, + "learning_rate": 1.731025854879066e-05, + "loss": 0.722, + "step": 1849 + }, + { + "epoch": 1.79, + "grad_norm": 0.7018924355506897, + "learning_rate": 1.7306088407005837e-05, + "loss": 0.9001, + "step": 1850 + }, + { + "epoch": 1.79, + "grad_norm": 0.7719809412956238, + "learning_rate": 1.730191826522102e-05, + "loss": 0.8025, + "step": 1851 + }, + { + "epoch": 1.79, + "grad_norm": 0.8102407455444336, + "learning_rate": 1.7297748123436197e-05, + "loss": 0.6766, + "step": 1852 + }, + { + "epoch": 1.79, + "grad_norm": 0.7951119542121887, + "learning_rate": 1.7293577981651376e-05, + "loss": 1.0315, + "step": 1853 + }, + { + "epoch": 1.79, + "grad_norm": 0.8158023357391357, + "learning_rate": 1.7289407839866557e-05, + "loss": 0.8913, + "step": 1854 + }, + { + "epoch": 1.79, + "grad_norm": 1.1630053520202637, + "learning_rate": 1.7285237698081736e-05, + "loss": 0.9737, + "step": 1855 + }, + { + "epoch": 1.8, + "grad_norm": 0.5878280997276306, + "learning_rate": 1.7281067556296914e-05, + "loss": 0.6714, + "step": 1856 + }, + { + "epoch": 1.8, + "grad_norm": 0.8016815185546875, + "learning_rate": 1.7276897414512096e-05, + "loss": 0.7408, + "step": 1857 + }, + { + "epoch": 1.8, + "grad_norm": 1.1595693826675415, + "learning_rate": 1.7272727272727274e-05, + "loss": 0.8094, + "step": 1858 + }, + { + "epoch": 1.8, + "grad_norm": 0.9399605393409729, + "learning_rate": 1.7268557130942452e-05, + "loss": 0.826, + "step": 1859 + }, + { + "epoch": 1.8, + "grad_norm": 0.6787810325622559, + "learning_rate": 1.7264386989157634e-05, + "loss": 0.8519, + "step": 1860 + }, + { + "epoch": 1.8, + "grad_norm": 0.8106079697608948, + "learning_rate": 1.7260216847372812e-05, + "loss": 0.7876, + "step": 1861 + }, + { + "epoch": 1.8, + "grad_norm": 0.7846651077270508, + "learning_rate": 1.725604670558799e-05, + "loss": 0.8944, + "step": 1862 + }, + { + "epoch": 1.8, + "grad_norm": 0.8497811555862427, + "learning_rate": 1.7251876563803172e-05, + "loss": 0.9571, + "step": 1863 + }, + { + "epoch": 1.8, + "grad_norm": 0.7555640339851379, + "learning_rate": 1.724770642201835e-05, + "loss": 0.7544, + "step": 1864 + }, + { + "epoch": 1.8, + "grad_norm": 0.968040406703949, + "learning_rate": 1.724353628023353e-05, + "loss": 0.8236, + "step": 1865 + }, + { + "epoch": 1.81, + "grad_norm": 1.0335079431533813, + "learning_rate": 1.723936613844871e-05, + "loss": 0.7483, + "step": 1866 + }, + { + "epoch": 1.81, + "grad_norm": 0.7412479519844055, + "learning_rate": 1.723519599666389e-05, + "loss": 0.7081, + "step": 1867 + }, + { + "epoch": 1.81, + "grad_norm": 0.6465935111045837, + "learning_rate": 1.7231025854879064e-05, + "loss": 0.7816, + "step": 1868 + }, + { + "epoch": 1.81, + "grad_norm": 0.84539395570755, + "learning_rate": 1.7226855713094246e-05, + "loss": 0.7338, + "step": 1869 + }, + { + "epoch": 1.81, + "grad_norm": 1.0181114673614502, + "learning_rate": 1.7222685571309424e-05, + "loss": 0.9392, + "step": 1870 + }, + { + "epoch": 1.81, + "grad_norm": 0.7476956844329834, + "learning_rate": 1.7218515429524603e-05, + "loss": 0.8499, + "step": 1871 + }, + { + "epoch": 1.81, + "grad_norm": 1.058558464050293, + "learning_rate": 1.7214345287739784e-05, + "loss": 1.0515, + "step": 1872 + }, + { + "epoch": 1.81, + "grad_norm": 1.0454823970794678, + "learning_rate": 1.7210175145954963e-05, + "loss": 0.9895, + "step": 1873 + }, + { + "epoch": 1.81, + "grad_norm": 0.9312785863876343, + "learning_rate": 1.720600500417014e-05, + "loss": 0.7561, + "step": 1874 + }, + { + "epoch": 1.81, + "grad_norm": 0.8505113124847412, + "learning_rate": 1.7201834862385323e-05, + "loss": 1.0244, + "step": 1875 + }, + { + "epoch": 1.82, + "grad_norm": 0.739127516746521, + "learning_rate": 1.71976647206005e-05, + "loss": 0.924, + "step": 1876 + }, + { + "epoch": 1.82, + "grad_norm": 0.959327757358551, + "learning_rate": 1.719349457881568e-05, + "loss": 0.8512, + "step": 1877 + }, + { + "epoch": 1.82, + "grad_norm": 1.1895872354507446, + "learning_rate": 1.718932443703086e-05, + "loss": 0.8191, + "step": 1878 + }, + { + "epoch": 1.82, + "grad_norm": 0.6886990070343018, + "learning_rate": 1.718515429524604e-05, + "loss": 0.8755, + "step": 1879 + }, + { + "epoch": 1.82, + "grad_norm": 0.8769509792327881, + "learning_rate": 1.7180984153461218e-05, + "loss": 0.6864, + "step": 1880 + }, + { + "epoch": 1.82, + "grad_norm": 0.7019595503807068, + "learning_rate": 1.71768140116764e-05, + "loss": 0.8178, + "step": 1881 + }, + { + "epoch": 1.82, + "grad_norm": 0.7999851107597351, + "learning_rate": 1.7172643869891578e-05, + "loss": 0.7193, + "step": 1882 + }, + { + "epoch": 1.82, + "grad_norm": 0.650597095489502, + "learning_rate": 1.7168473728106756e-05, + "loss": 0.6782, + "step": 1883 + }, + { + "epoch": 1.82, + "grad_norm": 1.2218492031097412, + "learning_rate": 1.7164303586321938e-05, + "loss": 0.7615, + "step": 1884 + }, + { + "epoch": 1.82, + "grad_norm": 1.0406743288040161, + "learning_rate": 1.7160133444537116e-05, + "loss": 0.9826, + "step": 1885 + }, + { + "epoch": 1.82, + "grad_norm": 0.856194257736206, + "learning_rate": 1.7155963302752295e-05, + "loss": 0.7327, + "step": 1886 + }, + { + "epoch": 1.83, + "grad_norm": 0.9253340363502502, + "learning_rate": 1.7151793160967476e-05, + "loss": 1.2517, + "step": 1887 + }, + { + "epoch": 1.83, + "grad_norm": 0.6728857159614563, + "learning_rate": 1.7147623019182655e-05, + "loss": 0.8611, + "step": 1888 + }, + { + "epoch": 1.83, + "grad_norm": 0.9832353591918945, + "learning_rate": 1.7143452877397833e-05, + "loss": 0.9212, + "step": 1889 + }, + { + "epoch": 1.83, + "grad_norm": 1.2956795692443848, + "learning_rate": 1.713928273561301e-05, + "loss": 0.6905, + "step": 1890 + }, + { + "epoch": 1.83, + "grad_norm": 1.1933009624481201, + "learning_rate": 1.713511259382819e-05, + "loss": 0.8033, + "step": 1891 + }, + { + "epoch": 1.83, + "grad_norm": 0.6940970420837402, + "learning_rate": 1.7130942452043368e-05, + "loss": 0.723, + "step": 1892 + }, + { + "epoch": 1.83, + "grad_norm": 0.7822943925857544, + "learning_rate": 1.712677231025855e-05, + "loss": 0.9177, + "step": 1893 + }, + { + "epoch": 1.83, + "grad_norm": 0.8695879578590393, + "learning_rate": 1.7122602168473728e-05, + "loss": 0.7869, + "step": 1894 + }, + { + "epoch": 1.83, + "grad_norm": 0.6555044054985046, + "learning_rate": 1.7118432026688907e-05, + "loss": 0.7787, + "step": 1895 + }, + { + "epoch": 1.83, + "grad_norm": 0.7815390825271606, + "learning_rate": 1.7114261884904088e-05, + "loss": 0.7585, + "step": 1896 + }, + { + "epoch": 1.84, + "grad_norm": 0.9319225549697876, + "learning_rate": 1.7110091743119267e-05, + "loss": 0.7983, + "step": 1897 + }, + { + "epoch": 1.84, + "grad_norm": 1.0927006006240845, + "learning_rate": 1.7105921601334445e-05, + "loss": 0.9557, + "step": 1898 + }, + { + "epoch": 1.84, + "grad_norm": 0.9050227999687195, + "learning_rate": 1.7101751459549627e-05, + "loss": 0.7747, + "step": 1899 + }, + { + "epoch": 1.84, + "grad_norm": 1.1635836362838745, + "learning_rate": 1.7097581317764805e-05, + "loss": 0.8539, + "step": 1900 + }, + { + "epoch": 1.84, + "grad_norm": 1.060768723487854, + "learning_rate": 1.7093411175979983e-05, + "loss": 0.7866, + "step": 1901 + }, + { + "epoch": 1.84, + "grad_norm": 1.1171456575393677, + "learning_rate": 1.7089241034195165e-05, + "loss": 0.7501, + "step": 1902 + }, + { + "epoch": 1.84, + "grad_norm": 0.747549831867218, + "learning_rate": 1.7085070892410343e-05, + "loss": 0.723, + "step": 1903 + }, + { + "epoch": 1.84, + "grad_norm": 0.9432520866394043, + "learning_rate": 1.7080900750625522e-05, + "loss": 1.1312, + "step": 1904 + }, + { + "epoch": 1.84, + "grad_norm": 1.0727051496505737, + "learning_rate": 1.7076730608840703e-05, + "loss": 0.7803, + "step": 1905 + }, + { + "epoch": 1.84, + "grad_norm": 0.9257543087005615, + "learning_rate": 1.7072560467055882e-05, + "loss": 0.7606, + "step": 1906 + }, + { + "epoch": 1.85, + "grad_norm": 0.8390801548957825, + "learning_rate": 1.706839032527106e-05, + "loss": 0.7949, + "step": 1907 + }, + { + "epoch": 1.85, + "grad_norm": 0.9256153702735901, + "learning_rate": 1.7064220183486242e-05, + "loss": 0.7916, + "step": 1908 + }, + { + "epoch": 1.85, + "grad_norm": 0.9379748106002808, + "learning_rate": 1.706005004170142e-05, + "loss": 0.9111, + "step": 1909 + }, + { + "epoch": 1.85, + "grad_norm": 0.9393073320388794, + "learning_rate": 1.70558798999166e-05, + "loss": 0.9321, + "step": 1910 + }, + { + "epoch": 1.85, + "grad_norm": 0.7241727709770203, + "learning_rate": 1.705170975813178e-05, + "loss": 0.6628, + "step": 1911 + }, + { + "epoch": 1.85, + "grad_norm": 0.8744395971298218, + "learning_rate": 1.7047539616346955e-05, + "loss": 1.0339, + "step": 1912 + }, + { + "epoch": 1.85, + "grad_norm": 1.3305716514587402, + "learning_rate": 1.7043369474562134e-05, + "loss": 0.8784, + "step": 1913 + }, + { + "epoch": 1.85, + "grad_norm": 0.8638929724693298, + "learning_rate": 1.7039199332777315e-05, + "loss": 0.7993, + "step": 1914 + }, + { + "epoch": 1.85, + "grad_norm": 1.216010570526123, + "learning_rate": 1.7035029190992494e-05, + "loss": 0.7917, + "step": 1915 + }, + { + "epoch": 1.85, + "grad_norm": 1.0005793571472168, + "learning_rate": 1.7030859049207672e-05, + "loss": 0.9265, + "step": 1916 + }, + { + "epoch": 1.85, + "grad_norm": 1.2919089794158936, + "learning_rate": 1.7026688907422854e-05, + "loss": 0.665, + "step": 1917 + }, + { + "epoch": 1.86, + "grad_norm": 0.8195804357528687, + "learning_rate": 1.7022518765638032e-05, + "loss": 0.9724, + "step": 1918 + }, + { + "epoch": 1.86, + "grad_norm": 0.9226823449134827, + "learning_rate": 1.701834862385321e-05, + "loss": 1.1195, + "step": 1919 + }, + { + "epoch": 1.86, + "grad_norm": 0.8450864553451538, + "learning_rate": 1.7014178482068392e-05, + "loss": 0.9249, + "step": 1920 + }, + { + "epoch": 1.86, + "grad_norm": 0.7624867558479309, + "learning_rate": 1.701000834028357e-05, + "loss": 0.777, + "step": 1921 + }, + { + "epoch": 1.86, + "grad_norm": 0.7772315740585327, + "learning_rate": 1.700583819849875e-05, + "loss": 0.8076, + "step": 1922 + }, + { + "epoch": 1.86, + "grad_norm": 0.8157473802566528, + "learning_rate": 1.700166805671393e-05, + "loss": 0.9167, + "step": 1923 + }, + { + "epoch": 1.86, + "grad_norm": 0.9203855395317078, + "learning_rate": 1.699749791492911e-05, + "loss": 0.809, + "step": 1924 + }, + { + "epoch": 1.86, + "grad_norm": 0.8208935856819153, + "learning_rate": 1.6993327773144287e-05, + "loss": 0.9069, + "step": 1925 + }, + { + "epoch": 1.86, + "grad_norm": 0.7363651990890503, + "learning_rate": 1.698915763135947e-05, + "loss": 0.8228, + "step": 1926 + }, + { + "epoch": 1.86, + "grad_norm": 0.7855283617973328, + "learning_rate": 1.6984987489574647e-05, + "loss": 0.676, + "step": 1927 + }, + { + "epoch": 1.87, + "grad_norm": 0.7433432340621948, + "learning_rate": 1.6980817347789826e-05, + "loss": 1.0368, + "step": 1928 + }, + { + "epoch": 1.87, + "grad_norm": 0.7939968705177307, + "learning_rate": 1.6976647206005007e-05, + "loss": 0.7944, + "step": 1929 + }, + { + "epoch": 1.87, + "grad_norm": 0.9196440577507019, + "learning_rate": 1.6972477064220186e-05, + "loss": 0.9396, + "step": 1930 + }, + { + "epoch": 1.87, + "grad_norm": 0.6778802871704102, + "learning_rate": 1.6968306922435364e-05, + "loss": 0.7381, + "step": 1931 + }, + { + "epoch": 1.87, + "grad_norm": 0.9552792310714722, + "learning_rate": 1.6964136780650546e-05, + "loss": 0.8625, + "step": 1932 + }, + { + "epoch": 1.87, + "grad_norm": 0.9954519271850586, + "learning_rate": 1.6959966638865724e-05, + "loss": 1.0425, + "step": 1933 + }, + { + "epoch": 1.87, + "grad_norm": 0.6923507452011108, + "learning_rate": 1.69557964970809e-05, + "loss": 0.8703, + "step": 1934 + }, + { + "epoch": 1.87, + "grad_norm": 0.7894932627677917, + "learning_rate": 1.695162635529608e-05, + "loss": 0.7997, + "step": 1935 + }, + { + "epoch": 1.87, + "grad_norm": 0.8798812627792358, + "learning_rate": 1.694745621351126e-05, + "loss": 0.915, + "step": 1936 + }, + { + "epoch": 1.87, + "grad_norm": 0.8444138169288635, + "learning_rate": 1.6943286071726438e-05, + "loss": 0.6977, + "step": 1937 + }, + { + "epoch": 1.88, + "grad_norm": 0.7910336256027222, + "learning_rate": 1.693911592994162e-05, + "loss": 0.8281, + "step": 1938 + }, + { + "epoch": 1.88, + "grad_norm": 0.8253074288368225, + "learning_rate": 1.6934945788156798e-05, + "loss": 0.787, + "step": 1939 + }, + { + "epoch": 1.88, + "grad_norm": 0.824138879776001, + "learning_rate": 1.6930775646371976e-05, + "loss": 0.761, + "step": 1940 + }, + { + "epoch": 1.88, + "grad_norm": 0.809833824634552, + "learning_rate": 1.6926605504587158e-05, + "loss": 0.8068, + "step": 1941 + }, + { + "epoch": 1.88, + "grad_norm": 1.0195412635803223, + "learning_rate": 1.6922435362802336e-05, + "loss": 0.8565, + "step": 1942 + }, + { + "epoch": 1.88, + "grad_norm": 0.7311393022537231, + "learning_rate": 1.6918265221017514e-05, + "loss": 0.8475, + "step": 1943 + }, + { + "epoch": 1.88, + "grad_norm": 1.0453840494155884, + "learning_rate": 1.6914095079232696e-05, + "loss": 0.7791, + "step": 1944 + }, + { + "epoch": 1.88, + "grad_norm": 0.8446893692016602, + "learning_rate": 1.6909924937447874e-05, + "loss": 0.9636, + "step": 1945 + }, + { + "epoch": 1.88, + "grad_norm": 0.8677257299423218, + "learning_rate": 1.6905754795663053e-05, + "loss": 0.8592, + "step": 1946 + }, + { + "epoch": 1.88, + "grad_norm": 1.0888829231262207, + "learning_rate": 1.6901584653878234e-05, + "loss": 0.9561, + "step": 1947 + }, + { + "epoch": 1.88, + "grad_norm": 0.964134156703949, + "learning_rate": 1.6897414512093413e-05, + "loss": 1.0346, + "step": 1948 + }, + { + "epoch": 1.89, + "grad_norm": 0.9617668986320496, + "learning_rate": 1.689324437030859e-05, + "loss": 1.0041, + "step": 1949 + }, + { + "epoch": 1.89, + "grad_norm": 0.8904727697372437, + "learning_rate": 1.6889074228523773e-05, + "loss": 0.8632, + "step": 1950 + }, + { + "epoch": 1.89, + "grad_norm": 0.8076865077018738, + "learning_rate": 1.688490408673895e-05, + "loss": 0.8261, + "step": 1951 + }, + { + "epoch": 1.89, + "grad_norm": 1.0297733545303345, + "learning_rate": 1.688073394495413e-05, + "loss": 0.8613, + "step": 1952 + }, + { + "epoch": 1.89, + "grad_norm": 0.847148597240448, + "learning_rate": 1.687656380316931e-05, + "loss": 1.0287, + "step": 1953 + }, + { + "epoch": 1.89, + "grad_norm": 0.8562366366386414, + "learning_rate": 1.687239366138449e-05, + "loss": 0.9272, + "step": 1954 + }, + { + "epoch": 1.89, + "grad_norm": 0.9658657312393188, + "learning_rate": 1.6868223519599668e-05, + "loss": 0.9344, + "step": 1955 + }, + { + "epoch": 1.89, + "grad_norm": 0.7875065803527832, + "learning_rate": 1.6864053377814846e-05, + "loss": 0.9477, + "step": 1956 + }, + { + "epoch": 1.89, + "grad_norm": 1.0696040391921997, + "learning_rate": 1.6859883236030025e-05, + "loss": 0.9565, + "step": 1957 + }, + { + "epoch": 1.89, + "grad_norm": 0.9309507012367249, + "learning_rate": 1.6855713094245203e-05, + "loss": 0.7804, + "step": 1958 + }, + { + "epoch": 1.9, + "grad_norm": 0.9499930739402771, + "learning_rate": 1.6851542952460385e-05, + "loss": 1.0226, + "step": 1959 + }, + { + "epoch": 1.9, + "grad_norm": 0.8869950175285339, + "learning_rate": 1.6847372810675563e-05, + "loss": 0.7029, + "step": 1960 + }, + { + "epoch": 1.9, + "grad_norm": 0.9768362045288086, + "learning_rate": 1.684320266889074e-05, + "loss": 0.8529, + "step": 1961 + }, + { + "epoch": 1.9, + "grad_norm": 0.7870042324066162, + "learning_rate": 1.6839032527105923e-05, + "loss": 0.672, + "step": 1962 + }, + { + "epoch": 1.9, + "grad_norm": 0.8561064004898071, + "learning_rate": 1.68348623853211e-05, + "loss": 0.8669, + "step": 1963 + }, + { + "epoch": 1.9, + "grad_norm": 1.1354800462722778, + "learning_rate": 1.683069224353628e-05, + "loss": 0.7602, + "step": 1964 + }, + { + "epoch": 1.9, + "grad_norm": 0.8853317499160767, + "learning_rate": 1.682652210175146e-05, + "loss": 0.6786, + "step": 1965 + }, + { + "epoch": 1.9, + "grad_norm": 1.0149863958358765, + "learning_rate": 1.682235195996664e-05, + "loss": 1.0025, + "step": 1966 + }, + { + "epoch": 1.9, + "grad_norm": 0.916051983833313, + "learning_rate": 1.6818181818181818e-05, + "loss": 0.8975, + "step": 1967 + }, + { + "epoch": 1.9, + "grad_norm": 0.7441714406013489, + "learning_rate": 1.6814011676397e-05, + "loss": 0.8646, + "step": 1968 + }, + { + "epoch": 1.91, + "grad_norm": 1.1304653882980347, + "learning_rate": 1.680984153461218e-05, + "loss": 0.7859, + "step": 1969 + }, + { + "epoch": 1.91, + "grad_norm": 0.9368276596069336, + "learning_rate": 1.6805671392827357e-05, + "loss": 0.7591, + "step": 1970 + }, + { + "epoch": 1.91, + "grad_norm": 0.8011747002601624, + "learning_rate": 1.680150125104254e-05, + "loss": 0.857, + "step": 1971 + }, + { + "epoch": 1.91, + "grad_norm": 0.7463546395301819, + "learning_rate": 1.6797331109257717e-05, + "loss": 0.8482, + "step": 1972 + }, + { + "epoch": 1.91, + "grad_norm": 0.9293267726898193, + "learning_rate": 1.6793160967472895e-05, + "loss": 0.8312, + "step": 1973 + }, + { + "epoch": 1.91, + "grad_norm": 0.883674144744873, + "learning_rate": 1.6788990825688077e-05, + "loss": 0.8461, + "step": 1974 + }, + { + "epoch": 1.91, + "grad_norm": 0.7716401219367981, + "learning_rate": 1.6784820683903255e-05, + "loss": 0.7707, + "step": 1975 + }, + { + "epoch": 1.91, + "grad_norm": 1.3078255653381348, + "learning_rate": 1.6780650542118433e-05, + "loss": 1.0448, + "step": 1976 + }, + { + "epoch": 1.91, + "grad_norm": 0.9969536662101746, + "learning_rate": 1.6776480400333612e-05, + "loss": 0.8054, + "step": 1977 + }, + { + "epoch": 1.91, + "grad_norm": 0.8570670485496521, + "learning_rate": 1.677231025854879e-05, + "loss": 0.6261, + "step": 1978 + }, + { + "epoch": 1.91, + "grad_norm": 0.7832435369491577, + "learning_rate": 1.676814011676397e-05, + "loss": 0.7284, + "step": 1979 + }, + { + "epoch": 1.92, + "grad_norm": 1.7048368453979492, + "learning_rate": 1.676396997497915e-05, + "loss": 0.7937, + "step": 1980 + }, + { + "epoch": 1.92, + "grad_norm": 0.7346407771110535, + "learning_rate": 1.675979983319433e-05, + "loss": 0.7596, + "step": 1981 + }, + { + "epoch": 1.92, + "grad_norm": 0.8408774733543396, + "learning_rate": 1.6755629691409507e-05, + "loss": 0.8448, + "step": 1982 + }, + { + "epoch": 1.92, + "grad_norm": 0.9744170308113098, + "learning_rate": 1.675145954962469e-05, + "loss": 0.8774, + "step": 1983 + }, + { + "epoch": 1.92, + "grad_norm": 0.9598327875137329, + "learning_rate": 1.6747289407839867e-05, + "loss": 0.9434, + "step": 1984 + }, + { + "epoch": 1.92, + "grad_norm": 0.9281868934631348, + "learning_rate": 1.6743119266055045e-05, + "loss": 0.8365, + "step": 1985 + }, + { + "epoch": 1.92, + "grad_norm": 0.9300135374069214, + "learning_rate": 1.6738949124270227e-05, + "loss": 0.7707, + "step": 1986 + }, + { + "epoch": 1.92, + "grad_norm": 0.7710340023040771, + "learning_rate": 1.6734778982485405e-05, + "loss": 0.8942, + "step": 1987 + }, + { + "epoch": 1.92, + "grad_norm": 0.7512118816375732, + "learning_rate": 1.6730608840700584e-05, + "loss": 0.8257, + "step": 1988 + }, + { + "epoch": 1.92, + "grad_norm": 0.8374395966529846, + "learning_rate": 1.6726438698915765e-05, + "loss": 0.9336, + "step": 1989 + }, + { + "epoch": 1.93, + "grad_norm": 0.8344548344612122, + "learning_rate": 1.6722268557130944e-05, + "loss": 0.9168, + "step": 1990 + }, + { + "epoch": 1.93, + "grad_norm": 0.932174801826477, + "learning_rate": 1.6718098415346122e-05, + "loss": 0.7955, + "step": 1991 + }, + { + "epoch": 1.93, + "grad_norm": 1.0148735046386719, + "learning_rate": 1.6713928273561304e-05, + "loss": 0.7185, + "step": 1992 + }, + { + "epoch": 1.93, + "grad_norm": 0.8618914484977722, + "learning_rate": 1.6709758131776482e-05, + "loss": 0.9284, + "step": 1993 + }, + { + "epoch": 1.93, + "grad_norm": 0.7938865423202515, + "learning_rate": 1.670558798999166e-05, + "loss": 0.8949, + "step": 1994 + }, + { + "epoch": 1.93, + "grad_norm": 0.8339742422103882, + "learning_rate": 1.6701417848206842e-05, + "loss": 0.6892, + "step": 1995 + }, + { + "epoch": 1.93, + "grad_norm": 0.6835773587226868, + "learning_rate": 1.669724770642202e-05, + "loss": 0.733, + "step": 1996 + }, + { + "epoch": 1.93, + "grad_norm": 0.6812017560005188, + "learning_rate": 1.66930775646372e-05, + "loss": 0.7485, + "step": 1997 + }, + { + "epoch": 1.93, + "grad_norm": 0.7640445232391357, + "learning_rate": 1.6688907422852377e-05, + "loss": 0.7827, + "step": 1998 + }, + { + "epoch": 1.93, + "grad_norm": 0.9354455471038818, + "learning_rate": 1.668473728106756e-05, + "loss": 0.7798, + "step": 1999 + }, + { + "epoch": 1.94, + "grad_norm": 0.6687028408050537, + "learning_rate": 1.6680567139282734e-05, + "loss": 0.7206, + "step": 2000 + }, + { + "epoch": 1.94, + "grad_norm": 1.0055783987045288, + "learning_rate": 1.6676396997497916e-05, + "loss": 0.8287, + "step": 2001 + }, + { + "epoch": 1.94, + "grad_norm": 0.9009503126144409, + "learning_rate": 1.6672226855713094e-05, + "loss": 0.8032, + "step": 2002 + }, + { + "epoch": 1.94, + "grad_norm": 0.756703794002533, + "learning_rate": 1.6668056713928272e-05, + "loss": 0.8155, + "step": 2003 + }, + { + "epoch": 1.94, + "grad_norm": 0.7680414319038391, + "learning_rate": 1.6663886572143454e-05, + "loss": 0.7927, + "step": 2004 + }, + { + "epoch": 1.94, + "grad_norm": 1.060647964477539, + "learning_rate": 1.6659716430358632e-05, + "loss": 0.7974, + "step": 2005 + }, + { + "epoch": 1.94, + "grad_norm": 0.9082550406455994, + "learning_rate": 1.665554628857381e-05, + "loss": 0.8025, + "step": 2006 + }, + { + "epoch": 1.94, + "grad_norm": 0.9270780682563782, + "learning_rate": 1.6651376146788993e-05, + "loss": 1.0264, + "step": 2007 + }, + { + "epoch": 1.94, + "grad_norm": 0.8929727673530579, + "learning_rate": 1.664720600500417e-05, + "loss": 0.7626, + "step": 2008 + }, + { + "epoch": 1.94, + "grad_norm": 0.7213765382766724, + "learning_rate": 1.664303586321935e-05, + "loss": 0.8926, + "step": 2009 + }, + { + "epoch": 1.94, + "grad_norm": 0.7370853424072266, + "learning_rate": 1.663886572143453e-05, + "loss": 0.7173, + "step": 2010 + }, + { + "epoch": 1.95, + "grad_norm": 0.8905372619628906, + "learning_rate": 1.663469557964971e-05, + "loss": 0.8504, + "step": 2011 + }, + { + "epoch": 1.95, + "grad_norm": 0.7925258874893188, + "learning_rate": 1.6630525437864888e-05, + "loss": 0.7822, + "step": 2012 + }, + { + "epoch": 1.95, + "grad_norm": 0.9777191281318665, + "learning_rate": 1.662635529608007e-05, + "loss": 0.9808, + "step": 2013 + }, + { + "epoch": 1.95, + "grad_norm": 0.8308332562446594, + "learning_rate": 1.6622185154295248e-05, + "loss": 0.8461, + "step": 2014 + }, + { + "epoch": 1.95, + "grad_norm": 0.936898410320282, + "learning_rate": 1.6618015012510426e-05, + "loss": 0.7806, + "step": 2015 + }, + { + "epoch": 1.95, + "grad_norm": 0.8207533359527588, + "learning_rate": 1.6613844870725608e-05, + "loss": 0.7641, + "step": 2016 + }, + { + "epoch": 1.95, + "grad_norm": 0.7926797270774841, + "learning_rate": 1.6609674728940786e-05, + "loss": 0.773, + "step": 2017 + }, + { + "epoch": 1.95, + "grad_norm": 1.18202805519104, + "learning_rate": 1.6605504587155964e-05, + "loss": 0.8155, + "step": 2018 + }, + { + "epoch": 1.95, + "grad_norm": 0.8369432687759399, + "learning_rate": 1.6601334445371143e-05, + "loss": 0.86, + "step": 2019 + }, + { + "epoch": 1.95, + "grad_norm": 0.9292412996292114, + "learning_rate": 1.6597164303586325e-05, + "loss": 0.8659, + "step": 2020 + }, + { + "epoch": 1.96, + "grad_norm": 1.0277830362319946, + "learning_rate": 1.6592994161801503e-05, + "loss": 0.9969, + "step": 2021 + }, + { + "epoch": 1.96, + "grad_norm": 1.0188508033752441, + "learning_rate": 1.658882402001668e-05, + "loss": 0.8951, + "step": 2022 + }, + { + "epoch": 1.96, + "grad_norm": 0.8797101378440857, + "learning_rate": 1.658465387823186e-05, + "loss": 0.9484, + "step": 2023 + }, + { + "epoch": 1.96, + "grad_norm": 0.8515005707740784, + "learning_rate": 1.6580483736447038e-05, + "loss": 0.8588, + "step": 2024 + }, + { + "epoch": 1.96, + "grad_norm": 0.8228917717933655, + "learning_rate": 1.657631359466222e-05, + "loss": 0.942, + "step": 2025 + }, + { + "epoch": 1.96, + "grad_norm": 0.805042028427124, + "learning_rate": 1.6572143452877398e-05, + "loss": 0.8119, + "step": 2026 + }, + { + "epoch": 1.96, + "grad_norm": 0.6256294846534729, + "learning_rate": 1.6567973311092576e-05, + "loss": 0.8647, + "step": 2027 + }, + { + "epoch": 1.96, + "grad_norm": 0.7902873754501343, + "learning_rate": 1.6563803169307758e-05, + "loss": 0.7764, + "step": 2028 + }, + { + "epoch": 1.96, + "grad_norm": 0.767264723777771, + "learning_rate": 1.6559633027522936e-05, + "loss": 0.8435, + "step": 2029 + }, + { + "epoch": 1.96, + "grad_norm": 0.7123384475708008, + "learning_rate": 1.6555462885738115e-05, + "loss": 0.787, + "step": 2030 + }, + { + "epoch": 1.97, + "grad_norm": 0.8272600769996643, + "learning_rate": 1.6551292743953296e-05, + "loss": 0.6778, + "step": 2031 + }, + { + "epoch": 1.97, + "grad_norm": 0.7819762229919434, + "learning_rate": 1.6547122602168475e-05, + "loss": 0.8115, + "step": 2032 + }, + { + "epoch": 1.97, + "grad_norm": 0.8080729842185974, + "learning_rate": 1.6542952460383653e-05, + "loss": 0.781, + "step": 2033 + }, + { + "epoch": 1.97, + "grad_norm": 0.7823684811592102, + "learning_rate": 1.6538782318598835e-05, + "loss": 0.9029, + "step": 2034 + }, + { + "epoch": 1.97, + "grad_norm": 0.9348627924919128, + "learning_rate": 1.6534612176814013e-05, + "loss": 0.7923, + "step": 2035 + }, + { + "epoch": 1.97, + "grad_norm": 0.869373619556427, + "learning_rate": 1.653044203502919e-05, + "loss": 0.8515, + "step": 2036 + }, + { + "epoch": 1.97, + "grad_norm": 1.0650008916854858, + "learning_rate": 1.6526271893244373e-05, + "loss": 0.762, + "step": 2037 + }, + { + "epoch": 1.97, + "grad_norm": 0.749469518661499, + "learning_rate": 1.652210175145955e-05, + "loss": 0.7736, + "step": 2038 + }, + { + "epoch": 1.97, + "grad_norm": 0.8961909413337708, + "learning_rate": 1.651793160967473e-05, + "loss": 0.8875, + "step": 2039 + }, + { + "epoch": 1.97, + "grad_norm": 0.85845947265625, + "learning_rate": 1.651376146788991e-05, + "loss": 0.7448, + "step": 2040 + }, + { + "epoch": 1.97, + "grad_norm": 0.7543321847915649, + "learning_rate": 1.650959132610509e-05, + "loss": 0.946, + "step": 2041 + }, + { + "epoch": 1.98, + "grad_norm": 0.7273049354553223, + "learning_rate": 1.650542118432027e-05, + "loss": 0.7245, + "step": 2042 + }, + { + "epoch": 1.98, + "grad_norm": 0.8582026958465576, + "learning_rate": 1.6501251042535447e-05, + "loss": 0.8653, + "step": 2043 + }, + { + "epoch": 1.98, + "grad_norm": 1.0750855207443237, + "learning_rate": 1.6497080900750625e-05, + "loss": 0.7676, + "step": 2044 + }, + { + "epoch": 1.98, + "grad_norm": 0.8093810081481934, + "learning_rate": 1.6492910758965803e-05, + "loss": 0.6644, + "step": 2045 + }, + { + "epoch": 1.98, + "grad_norm": 0.8858250975608826, + "learning_rate": 1.6488740617180985e-05, + "loss": 0.7909, + "step": 2046 + }, + { + "epoch": 1.98, + "grad_norm": 1.2100324630737305, + "learning_rate": 1.6484570475396164e-05, + "loss": 1.0456, + "step": 2047 + }, + { + "epoch": 1.98, + "grad_norm": 0.8722363710403442, + "learning_rate": 1.6480400333611342e-05, + "loss": 0.8197, + "step": 2048 + }, + { + "epoch": 1.98, + "grad_norm": 0.837186872959137, + "learning_rate": 1.6476230191826524e-05, + "loss": 0.7923, + "step": 2049 + }, + { + "epoch": 1.98, + "grad_norm": 0.8733735084533691, + "learning_rate": 1.6472060050041702e-05, + "loss": 0.766, + "step": 2050 + }, + { + "epoch": 1.98, + "grad_norm": 0.9662410020828247, + "learning_rate": 1.646788990825688e-05, + "loss": 0.9203, + "step": 2051 + }, + { + "epoch": 1.99, + "grad_norm": 1.062026023864746, + "learning_rate": 1.6463719766472062e-05, + "loss": 0.682, + "step": 2052 + }, + { + "epoch": 1.99, + "grad_norm": 0.8982521891593933, + "learning_rate": 1.645954962468724e-05, + "loss": 0.7819, + "step": 2053 + }, + { + "epoch": 1.99, + "grad_norm": 0.9851229190826416, + "learning_rate": 1.645537948290242e-05, + "loss": 0.8535, + "step": 2054 + }, + { + "epoch": 1.99, + "grad_norm": 0.7512036561965942, + "learning_rate": 1.64512093411176e-05, + "loss": 0.781, + "step": 2055 + }, + { + "epoch": 1.99, + "grad_norm": 0.7056035399436951, + "learning_rate": 1.644703919933278e-05, + "loss": 0.6541, + "step": 2056 + }, + { + "epoch": 1.99, + "grad_norm": 1.0098791122436523, + "learning_rate": 1.6442869057547957e-05, + "loss": 0.7599, + "step": 2057 + }, + { + "epoch": 1.99, + "grad_norm": 1.5633152723312378, + "learning_rate": 1.643869891576314e-05, + "loss": 0.9975, + "step": 2058 + }, + { + "epoch": 1.99, + "grad_norm": 0.660973072052002, + "learning_rate": 1.6434528773978317e-05, + "loss": 0.7366, + "step": 2059 + }, + { + "epoch": 1.99, + "grad_norm": 0.8249894976615906, + "learning_rate": 1.6430358632193495e-05, + "loss": 0.686, + "step": 2060 + }, + { + "epoch": 1.99, + "grad_norm": 0.8134530186653137, + "learning_rate": 1.6426188490408674e-05, + "loss": 0.8081, + "step": 2061 + }, + { + "epoch": 2.0, + "grad_norm": 0.8489987254142761, + "learning_rate": 1.6422018348623856e-05, + "loss": 0.9907, + "step": 2062 + }, + { + "epoch": 2.0, + "grad_norm": 0.720770537853241, + "learning_rate": 1.6417848206839034e-05, + "loss": 0.8393, + "step": 2063 + }, + { + "epoch": 2.0, + "grad_norm": 1.0310115814208984, + "learning_rate": 1.6413678065054212e-05, + "loss": 0.8796, + "step": 2064 + }, + { + "epoch": 2.0, + "grad_norm": 0.9507542848587036, + "learning_rate": 1.6409507923269394e-05, + "loss": 0.8967, + "step": 2065 + }, + { + "epoch": 2.0, + "grad_norm": 1.6280910968780518, + "learning_rate": 1.640533778148457e-05, + "loss": 0.7525, + "step": 2066 + }, + { + "epoch": 2.0, + "grad_norm": 0.7132279872894287, + "learning_rate": 1.640116763969975e-05, + "loss": 0.8377, + "step": 2067 + }, + { + "epoch": 2.0, + "grad_norm": 0.7149779796600342, + "learning_rate": 1.639699749791493e-05, + "loss": 0.6546, + "step": 2068 + }, + { + "epoch": 2.0, + "grad_norm": 0.757491409778595, + "learning_rate": 1.6392827356130107e-05, + "loss": 0.8353, + "step": 2069 + }, + { + "epoch": 2.0, + "grad_norm": 0.8255732655525208, + "learning_rate": 1.638865721434529e-05, + "loss": 0.8852, + "step": 2070 + }, + { + "epoch": 2.0, + "grad_norm": 1.0266990661621094, + "learning_rate": 1.6384487072560467e-05, + "loss": 0.8924, + "step": 2071 + }, + { + "epoch": 2.0, + "grad_norm": 0.8910961747169495, + "learning_rate": 1.6380316930775646e-05, + "loss": 0.7208, + "step": 2072 + }, + { + "epoch": 2.01, + "grad_norm": 0.8424417972564697, + "learning_rate": 1.6376146788990827e-05, + "loss": 0.7489, + "step": 2073 + }, + { + "epoch": 2.01, + "grad_norm": 0.8685250282287598, + "learning_rate": 1.6371976647206006e-05, + "loss": 0.7637, + "step": 2074 + }, + { + "epoch": 2.01, + "grad_norm": 0.7109867334365845, + "learning_rate": 1.6367806505421184e-05, + "loss": 0.6879, + "step": 2075 + }, + { + "epoch": 2.01, + "grad_norm": 0.7444945573806763, + "learning_rate": 1.6363636363636366e-05, + "loss": 0.7497, + "step": 2076 + }, + { + "epoch": 2.01, + "grad_norm": 0.8028615117073059, + "learning_rate": 1.6359466221851544e-05, + "loss": 0.8232, + "step": 2077 + }, + { + "epoch": 2.01, + "grad_norm": 1.0910645723342896, + "learning_rate": 1.6355296080066723e-05, + "loss": 0.8335, + "step": 2078 + }, + { + "epoch": 2.01, + "grad_norm": 0.870670735836029, + "learning_rate": 1.6351125938281904e-05, + "loss": 0.8197, + "step": 2079 + }, + { + "epoch": 2.01, + "grad_norm": 1.3353681564331055, + "learning_rate": 1.6346955796497083e-05, + "loss": 0.695, + "step": 2080 + }, + { + "epoch": 2.01, + "grad_norm": 1.098760724067688, + "learning_rate": 1.634278565471226e-05, + "loss": 0.7761, + "step": 2081 + }, + { + "epoch": 2.01, + "grad_norm": 0.9978378415107727, + "learning_rate": 1.633861551292744e-05, + "loss": 0.7048, + "step": 2082 + }, + { + "epoch": 2.02, + "grad_norm": 0.9294447302818298, + "learning_rate": 1.633444537114262e-05, + "loss": 0.8093, + "step": 2083 + }, + { + "epoch": 2.02, + "grad_norm": 1.0113474130630493, + "learning_rate": 1.63302752293578e-05, + "loss": 0.7179, + "step": 2084 + }, + { + "epoch": 2.02, + "grad_norm": 0.8634607195854187, + "learning_rate": 1.6326105087572978e-05, + "loss": 0.7963, + "step": 2085 + }, + { + "epoch": 2.02, + "grad_norm": 0.8326531648635864, + "learning_rate": 1.632193494578816e-05, + "loss": 0.7091, + "step": 2086 + }, + { + "epoch": 2.02, + "grad_norm": 0.8643096685409546, + "learning_rate": 1.6317764804003338e-05, + "loss": 0.8389, + "step": 2087 + }, + { + "epoch": 2.02, + "grad_norm": 1.344704270362854, + "learning_rate": 1.6313594662218516e-05, + "loss": 0.7219, + "step": 2088 + }, + { + "epoch": 2.02, + "grad_norm": 0.8048978447914124, + "learning_rate": 1.6309424520433695e-05, + "loss": 0.8529, + "step": 2089 + }, + { + "epoch": 2.02, + "grad_norm": 0.8512008190155029, + "learning_rate": 1.6305254378648873e-05, + "loss": 0.8161, + "step": 2090 + }, + { + "epoch": 2.02, + "grad_norm": 0.8819389939308167, + "learning_rate": 1.6301084236864055e-05, + "loss": 0.8277, + "step": 2091 + }, + { + "epoch": 2.02, + "grad_norm": 0.8586316704750061, + "learning_rate": 1.6296914095079233e-05, + "loss": 0.6515, + "step": 2092 + }, + { + "epoch": 2.03, + "grad_norm": 0.7069984078407288, + "learning_rate": 1.629274395329441e-05, + "loss": 0.6655, + "step": 2093 + }, + { + "epoch": 2.03, + "grad_norm": 0.8091509938240051, + "learning_rate": 1.6288573811509593e-05, + "loss": 0.7679, + "step": 2094 + }, + { + "epoch": 2.03, + "grad_norm": 0.9792548418045044, + "learning_rate": 1.628440366972477e-05, + "loss": 0.7324, + "step": 2095 + }, + { + "epoch": 2.03, + "grad_norm": 0.9857268929481506, + "learning_rate": 1.628023352793995e-05, + "loss": 0.6833, + "step": 2096 + }, + { + "epoch": 2.03, + "grad_norm": 0.8258896470069885, + "learning_rate": 1.627606338615513e-05, + "loss": 0.7128, + "step": 2097 + }, + { + "epoch": 2.03, + "grad_norm": 0.9102650880813599, + "learning_rate": 1.627189324437031e-05, + "loss": 0.7178, + "step": 2098 + }, + { + "epoch": 2.03, + "grad_norm": 0.8058956861495972, + "learning_rate": 1.6267723102585488e-05, + "loss": 0.7185, + "step": 2099 + }, + { + "epoch": 2.03, + "grad_norm": 0.9636201858520508, + "learning_rate": 1.626355296080067e-05, + "loss": 0.9248, + "step": 2100 + }, + { + "epoch": 2.03, + "eval_loss": 0.8613040447235107, + "eval_runtime": 863.1033, + "eval_samples_per_second": 4.79, + "eval_steps_per_second": 0.599, + "step": 2100 + }, + { + "epoch": 2.03, + "grad_norm": 0.7387247681617737, + "learning_rate": 1.6259382819015848e-05, + "loss": 0.736, + "step": 2101 + }, + { + "epoch": 2.03, + "grad_norm": 1.1281027793884277, + "learning_rate": 1.6255212677231026e-05, + "loss": 0.6236, + "step": 2102 + }, + { + "epoch": 2.03, + "grad_norm": 0.8881358504295349, + "learning_rate": 1.6251042535446205e-05, + "loss": 0.8077, + "step": 2103 + }, + { + "epoch": 2.04, + "grad_norm": 1.4336382150650024, + "learning_rate": 1.6246872393661387e-05, + "loss": 0.6929, + "step": 2104 + }, + { + "epoch": 2.04, + "grad_norm": 1.0682131052017212, + "learning_rate": 1.6242702251876565e-05, + "loss": 0.8808, + "step": 2105 + }, + { + "epoch": 2.04, + "grad_norm": 0.876308798789978, + "learning_rate": 1.6238532110091743e-05, + "loss": 0.7301, + "step": 2106 + }, + { + "epoch": 2.04, + "grad_norm": 1.055034875869751, + "learning_rate": 1.6234361968306925e-05, + "loss": 0.6915, + "step": 2107 + }, + { + "epoch": 2.04, + "grad_norm": 0.8717195987701416, + "learning_rate": 1.6230191826522103e-05, + "loss": 0.8323, + "step": 2108 + }, + { + "epoch": 2.04, + "grad_norm": 0.8209213614463806, + "learning_rate": 1.622602168473728e-05, + "loss": 0.6763, + "step": 2109 + }, + { + "epoch": 2.04, + "grad_norm": 0.6951881647109985, + "learning_rate": 1.622185154295246e-05, + "loss": 0.7003, + "step": 2110 + }, + { + "epoch": 2.04, + "grad_norm": 0.903629720211029, + "learning_rate": 1.621768140116764e-05, + "loss": 0.6801, + "step": 2111 + }, + { + "epoch": 2.04, + "grad_norm": 0.8619610667228699, + "learning_rate": 1.621351125938282e-05, + "loss": 0.7837, + "step": 2112 + }, + { + "epoch": 2.04, + "grad_norm": 0.9694468975067139, + "learning_rate": 1.6209341117598e-05, + "loss": 0.7332, + "step": 2113 + }, + { + "epoch": 2.05, + "grad_norm": 0.9239858388900757, + "learning_rate": 1.6205170975813177e-05, + "loss": 0.7555, + "step": 2114 + }, + { + "epoch": 2.05, + "grad_norm": 1.0417711734771729, + "learning_rate": 1.620100083402836e-05, + "loss": 0.8177, + "step": 2115 + }, + { + "epoch": 2.05, + "grad_norm": 0.9695964455604553, + "learning_rate": 1.6196830692243537e-05, + "loss": 0.7799, + "step": 2116 + }, + { + "epoch": 2.05, + "grad_norm": 0.9095442295074463, + "learning_rate": 1.6192660550458715e-05, + "loss": 0.6751, + "step": 2117 + }, + { + "epoch": 2.05, + "grad_norm": 0.7351341843605042, + "learning_rate": 1.6188490408673897e-05, + "loss": 0.6105, + "step": 2118 + }, + { + "epoch": 2.05, + "grad_norm": 0.8814277052879333, + "learning_rate": 1.6184320266889075e-05, + "loss": 0.8099, + "step": 2119 + }, + { + "epoch": 2.05, + "grad_norm": 1.2763869762420654, + "learning_rate": 1.6180150125104254e-05, + "loss": 0.735, + "step": 2120 + }, + { + "epoch": 2.05, + "grad_norm": 1.2933096885681152, + "learning_rate": 1.6175979983319435e-05, + "loss": 0.809, + "step": 2121 + }, + { + "epoch": 2.05, + "grad_norm": 0.9654662013053894, + "learning_rate": 1.6171809841534614e-05, + "loss": 1.0628, + "step": 2122 + }, + { + "epoch": 2.05, + "grad_norm": 0.9225313663482666, + "learning_rate": 1.6167639699749792e-05, + "loss": 0.6884, + "step": 2123 + }, + { + "epoch": 2.06, + "grad_norm": 1.0180963277816772, + "learning_rate": 1.616346955796497e-05, + "loss": 0.7652, + "step": 2124 + }, + { + "epoch": 2.06, + "grad_norm": 1.085799217224121, + "learning_rate": 1.6159299416180152e-05, + "loss": 0.7727, + "step": 2125 + }, + { + "epoch": 2.06, + "grad_norm": 0.6086386442184448, + "learning_rate": 1.615512927439533e-05, + "loss": 0.7416, + "step": 2126 + }, + { + "epoch": 2.06, + "grad_norm": 1.0753639936447144, + "learning_rate": 1.615095913261051e-05, + "loss": 0.8819, + "step": 2127 + }, + { + "epoch": 2.06, + "grad_norm": 0.9738914966583252, + "learning_rate": 1.614678899082569e-05, + "loss": 0.8487, + "step": 2128 + }, + { + "epoch": 2.06, + "grad_norm": 1.0410689115524292, + "learning_rate": 1.614261884904087e-05, + "loss": 0.9484, + "step": 2129 + }, + { + "epoch": 2.06, + "grad_norm": 0.9994109272956848, + "learning_rate": 1.6138448707256047e-05, + "loss": 0.9096, + "step": 2130 + }, + { + "epoch": 2.06, + "grad_norm": 0.948269248008728, + "learning_rate": 1.613427856547123e-05, + "loss": 0.741, + "step": 2131 + }, + { + "epoch": 2.06, + "grad_norm": 1.2039037942886353, + "learning_rate": 1.6130108423686404e-05, + "loss": 0.8277, + "step": 2132 + }, + { + "epoch": 2.06, + "grad_norm": 0.7675575613975525, + "learning_rate": 1.6125938281901586e-05, + "loss": 0.7447, + "step": 2133 + }, + { + "epoch": 2.06, + "grad_norm": 1.4184024333953857, + "learning_rate": 1.6121768140116764e-05, + "loss": 0.7552, + "step": 2134 + }, + { + "epoch": 2.07, + "grad_norm": 0.9596167802810669, + "learning_rate": 1.6117597998331942e-05, + "loss": 0.8302, + "step": 2135 + }, + { + "epoch": 2.07, + "grad_norm": 1.2611805200576782, + "learning_rate": 1.6113427856547124e-05, + "loss": 0.7267, + "step": 2136 + }, + { + "epoch": 2.07, + "grad_norm": 1.4351348876953125, + "learning_rate": 1.6109257714762302e-05, + "loss": 0.9469, + "step": 2137 + }, + { + "epoch": 2.07, + "grad_norm": 0.9499155282974243, + "learning_rate": 1.610508757297748e-05, + "loss": 0.7427, + "step": 2138 + }, + { + "epoch": 2.07, + "grad_norm": 0.9467758536338806, + "learning_rate": 1.6100917431192662e-05, + "loss": 0.8814, + "step": 2139 + }, + { + "epoch": 2.07, + "grad_norm": 0.803652286529541, + "learning_rate": 1.609674728940784e-05, + "loss": 0.7063, + "step": 2140 + }, + { + "epoch": 2.07, + "grad_norm": 0.9238422513008118, + "learning_rate": 1.609257714762302e-05, + "loss": 0.944, + "step": 2141 + }, + { + "epoch": 2.07, + "grad_norm": 0.8854440450668335, + "learning_rate": 1.60884070058382e-05, + "loss": 0.7227, + "step": 2142 + }, + { + "epoch": 2.07, + "grad_norm": 0.8925952315330505, + "learning_rate": 1.608423686405338e-05, + "loss": 0.751, + "step": 2143 + }, + { + "epoch": 2.07, + "grad_norm": 1.1501728296279907, + "learning_rate": 1.6080066722268557e-05, + "loss": 0.7761, + "step": 2144 + }, + { + "epoch": 2.08, + "grad_norm": 0.9446371793746948, + "learning_rate": 1.6075896580483736e-05, + "loss": 0.8513, + "step": 2145 + }, + { + "epoch": 2.08, + "grad_norm": 1.01532781124115, + "learning_rate": 1.6071726438698918e-05, + "loss": 0.7664, + "step": 2146 + }, + { + "epoch": 2.08, + "grad_norm": 1.334885597229004, + "learning_rate": 1.6067556296914096e-05, + "loss": 0.7962, + "step": 2147 + }, + { + "epoch": 2.08, + "grad_norm": 0.9924198985099792, + "learning_rate": 1.6063386155129274e-05, + "loss": 0.8267, + "step": 2148 + }, + { + "epoch": 2.08, + "grad_norm": 1.0246148109436035, + "learning_rate": 1.6059216013344456e-05, + "loss": 0.8188, + "step": 2149 + }, + { + "epoch": 2.08, + "grad_norm": 1.0408751964569092, + "learning_rate": 1.6055045871559634e-05, + "loss": 0.6833, + "step": 2150 + }, + { + "epoch": 2.08, + "grad_norm": 1.1522235870361328, + "learning_rate": 1.6050875729774813e-05, + "loss": 0.9052, + "step": 2151 + }, + { + "epoch": 2.08, + "grad_norm": 1.0488817691802979, + "learning_rate": 1.6046705587989994e-05, + "loss": 0.8716, + "step": 2152 + }, + { + "epoch": 2.08, + "grad_norm": 1.029067039489746, + "learning_rate": 1.6042535446205173e-05, + "loss": 0.7084, + "step": 2153 + }, + { + "epoch": 2.08, + "grad_norm": 0.9347807765007019, + "learning_rate": 1.603836530442035e-05, + "loss": 0.7023, + "step": 2154 + }, + { + "epoch": 2.09, + "grad_norm": 1.1111856698989868, + "learning_rate": 1.603419516263553e-05, + "loss": 0.9063, + "step": 2155 + }, + { + "epoch": 2.09, + "grad_norm": 0.9186628460884094, + "learning_rate": 1.6030025020850708e-05, + "loss": 1.1336, + "step": 2156 + }, + { + "epoch": 2.09, + "grad_norm": 1.2056461572647095, + "learning_rate": 1.602585487906589e-05, + "loss": 0.9851, + "step": 2157 + }, + { + "epoch": 2.09, + "grad_norm": 0.7266060709953308, + "learning_rate": 1.6021684737281068e-05, + "loss": 0.6984, + "step": 2158 + }, + { + "epoch": 2.09, + "grad_norm": 0.787128210067749, + "learning_rate": 1.6017514595496246e-05, + "loss": 0.963, + "step": 2159 + }, + { + "epoch": 2.09, + "grad_norm": 0.8970146775245667, + "learning_rate": 1.6013344453711428e-05, + "loss": 0.6416, + "step": 2160 + }, + { + "epoch": 2.09, + "grad_norm": 0.9999309182167053, + "learning_rate": 1.6009174311926606e-05, + "loss": 0.7877, + "step": 2161 + }, + { + "epoch": 2.09, + "grad_norm": 1.190667986869812, + "learning_rate": 1.6005004170141785e-05, + "loss": 0.9811, + "step": 2162 + }, + { + "epoch": 2.09, + "grad_norm": 1.0304157733917236, + "learning_rate": 1.6000834028356966e-05, + "loss": 0.767, + "step": 2163 + }, + { + "epoch": 2.09, + "grad_norm": 1.6683443784713745, + "learning_rate": 1.5996663886572145e-05, + "loss": 0.7166, + "step": 2164 + }, + { + "epoch": 2.09, + "grad_norm": 0.9787095189094543, + "learning_rate": 1.5992493744787323e-05, + "loss": 0.7878, + "step": 2165 + }, + { + "epoch": 2.1, + "grad_norm": 0.9132886528968811, + "learning_rate": 1.59883236030025e-05, + "loss": 0.7931, + "step": 2166 + }, + { + "epoch": 2.1, + "grad_norm": 1.019253134727478, + "learning_rate": 1.5984153461217683e-05, + "loss": 0.7932, + "step": 2167 + }, + { + "epoch": 2.1, + "grad_norm": 1.056209683418274, + "learning_rate": 1.597998331943286e-05, + "loss": 0.7446, + "step": 2168 + }, + { + "epoch": 2.1, + "grad_norm": 0.8760908842086792, + "learning_rate": 1.597581317764804e-05, + "loss": 0.8697, + "step": 2169 + }, + { + "epoch": 2.1, + "grad_norm": 1.2405896186828613, + "learning_rate": 1.597164303586322e-05, + "loss": 0.6326, + "step": 2170 + }, + { + "epoch": 2.1, + "grad_norm": 0.8816686272621155, + "learning_rate": 1.59674728940784e-05, + "loss": 0.7989, + "step": 2171 + }, + { + "epoch": 2.1, + "grad_norm": 1.151632308959961, + "learning_rate": 1.5963302752293578e-05, + "loss": 0.6792, + "step": 2172 + }, + { + "epoch": 2.1, + "grad_norm": 0.9503296613693237, + "learning_rate": 1.595913261050876e-05, + "loss": 0.7884, + "step": 2173 + }, + { + "epoch": 2.1, + "grad_norm": 1.845520257949829, + "learning_rate": 1.5954962468723938e-05, + "loss": 0.7533, + "step": 2174 + }, + { + "epoch": 2.1, + "grad_norm": 1.273065209388733, + "learning_rate": 1.5950792326939117e-05, + "loss": 0.6845, + "step": 2175 + }, + { + "epoch": 2.11, + "grad_norm": 0.8260062336921692, + "learning_rate": 1.5946622185154295e-05, + "loss": 0.7866, + "step": 2176 + }, + { + "epoch": 2.11, + "grad_norm": 1.016556739807129, + "learning_rate": 1.5942452043369473e-05, + "loss": 0.7498, + "step": 2177 + }, + { + "epoch": 2.11, + "grad_norm": 1.6116113662719727, + "learning_rate": 1.5938281901584655e-05, + "loss": 0.8896, + "step": 2178 + }, + { + "epoch": 2.11, + "grad_norm": 1.087537407875061, + "learning_rate": 1.5934111759799833e-05, + "loss": 0.8653, + "step": 2179 + }, + { + "epoch": 2.11, + "grad_norm": 0.8861603736877441, + "learning_rate": 1.592994161801501e-05, + "loss": 0.7583, + "step": 2180 + }, + { + "epoch": 2.11, + "grad_norm": 1.5134440660476685, + "learning_rate": 1.5925771476230193e-05, + "loss": 0.7212, + "step": 2181 + }, + { + "epoch": 2.11, + "grad_norm": 0.8922103643417358, + "learning_rate": 1.5921601334445372e-05, + "loss": 0.7497, + "step": 2182 + }, + { + "epoch": 2.11, + "grad_norm": 1.2534013986587524, + "learning_rate": 1.591743119266055e-05, + "loss": 0.8317, + "step": 2183 + }, + { + "epoch": 2.11, + "grad_norm": 0.8387369513511658, + "learning_rate": 1.5913261050875732e-05, + "loss": 0.7153, + "step": 2184 + }, + { + "epoch": 2.11, + "grad_norm": 0.8335866332054138, + "learning_rate": 1.590909090909091e-05, + "loss": 0.6766, + "step": 2185 + }, + { + "epoch": 2.12, + "grad_norm": 1.1211416721343994, + "learning_rate": 1.590492076730609e-05, + "loss": 0.7482, + "step": 2186 + }, + { + "epoch": 2.12, + "grad_norm": 0.9089906215667725, + "learning_rate": 1.5900750625521267e-05, + "loss": 0.7158, + "step": 2187 + }, + { + "epoch": 2.12, + "grad_norm": 0.9752490520477295, + "learning_rate": 1.589658048373645e-05, + "loss": 0.7114, + "step": 2188 + }, + { + "epoch": 2.12, + "grad_norm": 0.9394644498825073, + "learning_rate": 1.5892410341951627e-05, + "loss": 0.7683, + "step": 2189 + }, + { + "epoch": 2.12, + "grad_norm": 0.8086835145950317, + "learning_rate": 1.5888240200166805e-05, + "loss": 0.7401, + "step": 2190 + }, + { + "epoch": 2.12, + "grad_norm": 0.9527521133422852, + "learning_rate": 1.5884070058381987e-05, + "loss": 0.8443, + "step": 2191 + }, + { + "epoch": 2.12, + "grad_norm": 1.0372627973556519, + "learning_rate": 1.5879899916597165e-05, + "loss": 0.907, + "step": 2192 + }, + { + "epoch": 2.12, + "grad_norm": 1.051674246788025, + "learning_rate": 1.5875729774812344e-05, + "loss": 0.735, + "step": 2193 + }, + { + "epoch": 2.12, + "grad_norm": 0.870408296585083, + "learning_rate": 1.5871559633027525e-05, + "loss": 0.8805, + "step": 2194 + }, + { + "epoch": 2.12, + "grad_norm": 1.0100139379501343, + "learning_rate": 1.5867389491242704e-05, + "loss": 0.8729, + "step": 2195 + }, + { + "epoch": 2.12, + "grad_norm": 0.985837996006012, + "learning_rate": 1.5863219349457882e-05, + "loss": 0.6064, + "step": 2196 + }, + { + "epoch": 2.13, + "grad_norm": 1.0409152507781982, + "learning_rate": 1.5859049207673064e-05, + "loss": 0.6269, + "step": 2197 + }, + { + "epoch": 2.13, + "grad_norm": 0.9827375411987305, + "learning_rate": 1.5854879065888242e-05, + "loss": 0.6903, + "step": 2198 + }, + { + "epoch": 2.13, + "grad_norm": 0.9517821669578552, + "learning_rate": 1.585070892410342e-05, + "loss": 0.7303, + "step": 2199 + }, + { + "epoch": 2.13, + "grad_norm": 1.0400943756103516, + "learning_rate": 1.58465387823186e-05, + "loss": 0.7396, + "step": 2200 + }, + { + "epoch": 2.13, + "grad_norm": 0.9387555122375488, + "learning_rate": 1.5842368640533777e-05, + "loss": 0.7811, + "step": 2201 + }, + { + "epoch": 2.13, + "grad_norm": 0.8070386052131653, + "learning_rate": 1.583819849874896e-05, + "loss": 0.7365, + "step": 2202 + }, + { + "epoch": 2.13, + "grad_norm": 1.0601260662078857, + "learning_rate": 1.5834028356964137e-05, + "loss": 0.9059, + "step": 2203 + }, + { + "epoch": 2.13, + "grad_norm": 0.8103629946708679, + "learning_rate": 1.5829858215179316e-05, + "loss": 0.6728, + "step": 2204 + }, + { + "epoch": 2.13, + "grad_norm": 0.9613175392150879, + "learning_rate": 1.5825688073394497e-05, + "loss": 0.861, + "step": 2205 + }, + { + "epoch": 2.13, + "grad_norm": 0.8292310833930969, + "learning_rate": 1.5821517931609676e-05, + "loss": 0.7226, + "step": 2206 + }, + { + "epoch": 2.14, + "grad_norm": 1.0643137693405151, + "learning_rate": 1.5817347789824854e-05, + "loss": 0.7558, + "step": 2207 + }, + { + "epoch": 2.14, + "grad_norm": 1.0199520587921143, + "learning_rate": 1.5813177648040032e-05, + "loss": 0.8008, + "step": 2208 + }, + { + "epoch": 2.14, + "grad_norm": 1.011838436126709, + "learning_rate": 1.5809007506255214e-05, + "loss": 0.8111, + "step": 2209 + }, + { + "epoch": 2.14, + "grad_norm": 0.9533732533454895, + "learning_rate": 1.5804837364470392e-05, + "loss": 0.8441, + "step": 2210 + }, + { + "epoch": 2.14, + "grad_norm": 0.8253417015075684, + "learning_rate": 1.580066722268557e-05, + "loss": 0.6451, + "step": 2211 + }, + { + "epoch": 2.14, + "grad_norm": 1.1022123098373413, + "learning_rate": 1.5796497080900752e-05, + "loss": 0.8129, + "step": 2212 + }, + { + "epoch": 2.14, + "grad_norm": 0.8039019107818604, + "learning_rate": 1.579232693911593e-05, + "loss": 0.7724, + "step": 2213 + }, + { + "epoch": 2.14, + "grad_norm": 0.9332400560379028, + "learning_rate": 1.578815679733111e-05, + "loss": 0.8308, + "step": 2214 + }, + { + "epoch": 2.14, + "grad_norm": 0.9380186796188354, + "learning_rate": 1.578398665554629e-05, + "loss": 0.8724, + "step": 2215 + }, + { + "epoch": 2.14, + "grad_norm": 0.999252438545227, + "learning_rate": 1.577981651376147e-05, + "loss": 0.7486, + "step": 2216 + }, + { + "epoch": 2.15, + "grad_norm": 0.9714677929878235, + "learning_rate": 1.5775646371976648e-05, + "loss": 0.7629, + "step": 2217 + }, + { + "epoch": 2.15, + "grad_norm": 0.9364945888519287, + "learning_rate": 1.577147623019183e-05, + "loss": 0.9254, + "step": 2218 + }, + { + "epoch": 2.15, + "grad_norm": 1.0542597770690918, + "learning_rate": 1.5767306088407008e-05, + "loss": 0.9168, + "step": 2219 + }, + { + "epoch": 2.15, + "grad_norm": 0.8852275609970093, + "learning_rate": 1.5763135946622186e-05, + "loss": 0.7116, + "step": 2220 + }, + { + "epoch": 2.15, + "grad_norm": 0.7695048451423645, + "learning_rate": 1.5758965804837364e-05, + "loss": 0.7154, + "step": 2221 + }, + { + "epoch": 2.15, + "grad_norm": 0.8046821355819702, + "learning_rate": 1.5754795663052543e-05, + "loss": 0.7582, + "step": 2222 + }, + { + "epoch": 2.15, + "grad_norm": 0.9320796728134155, + "learning_rate": 1.5750625521267724e-05, + "loss": 0.7145, + "step": 2223 + }, + { + "epoch": 2.15, + "grad_norm": 1.0633964538574219, + "learning_rate": 1.5746455379482903e-05, + "loss": 0.9003, + "step": 2224 + }, + { + "epoch": 2.15, + "grad_norm": 1.1317298412322998, + "learning_rate": 1.574228523769808e-05, + "loss": 0.895, + "step": 2225 + }, + { + "epoch": 2.15, + "grad_norm": 1.0073773860931396, + "learning_rate": 1.5738115095913263e-05, + "loss": 0.6999, + "step": 2226 + }, + { + "epoch": 2.15, + "grad_norm": 1.0703595876693726, + "learning_rate": 1.573394495412844e-05, + "loss": 0.8721, + "step": 2227 + }, + { + "epoch": 2.16, + "grad_norm": 0.9789413213729858, + "learning_rate": 1.572977481234362e-05, + "loss": 0.709, + "step": 2228 + }, + { + "epoch": 2.16, + "grad_norm": 0.8390275239944458, + "learning_rate": 1.5725604670558798e-05, + "loss": 0.7034, + "step": 2229 + }, + { + "epoch": 2.16, + "grad_norm": 0.9055225253105164, + "learning_rate": 1.572143452877398e-05, + "loss": 0.6997, + "step": 2230 + }, + { + "epoch": 2.16, + "grad_norm": 1.0301963090896606, + "learning_rate": 1.5717264386989158e-05, + "loss": 0.6855, + "step": 2231 + }, + { + "epoch": 2.16, + "grad_norm": 0.8943819999694824, + "learning_rate": 1.5713094245204336e-05, + "loss": 0.7278, + "step": 2232 + }, + { + "epoch": 2.16, + "grad_norm": 1.114820122718811, + "learning_rate": 1.5708924103419518e-05, + "loss": 0.7585, + "step": 2233 + }, + { + "epoch": 2.16, + "grad_norm": 1.0447635650634766, + "learning_rate": 1.5704753961634696e-05, + "loss": 0.8406, + "step": 2234 + }, + { + "epoch": 2.16, + "grad_norm": 1.1199378967285156, + "learning_rate": 1.5700583819849875e-05, + "loss": 0.7524, + "step": 2235 + }, + { + "epoch": 2.16, + "grad_norm": 1.2178003787994385, + "learning_rate": 1.5696413678065056e-05, + "loss": 0.8073, + "step": 2236 + }, + { + "epoch": 2.16, + "grad_norm": 0.8613246083259583, + "learning_rate": 1.5692243536280235e-05, + "loss": 0.7427, + "step": 2237 + }, + { + "epoch": 2.17, + "grad_norm": 1.035451889038086, + "learning_rate": 1.5688073394495413e-05, + "loss": 0.8603, + "step": 2238 + }, + { + "epoch": 2.17, + "grad_norm": 0.9199170470237732, + "learning_rate": 1.5683903252710595e-05, + "loss": 0.6204, + "step": 2239 + }, + { + "epoch": 2.17, + "grad_norm": 0.9453350305557251, + "learning_rate": 1.5679733110925773e-05, + "loss": 0.6505, + "step": 2240 + }, + { + "epoch": 2.17, + "grad_norm": 0.9780431985855103, + "learning_rate": 1.567556296914095e-05, + "loss": 0.6692, + "step": 2241 + }, + { + "epoch": 2.17, + "grad_norm": 0.8773833513259888, + "learning_rate": 1.5671392827356133e-05, + "loss": 0.8147, + "step": 2242 + }, + { + "epoch": 2.17, + "grad_norm": 0.8920472860336304, + "learning_rate": 1.5667222685571308e-05, + "loss": 0.7978, + "step": 2243 + }, + { + "epoch": 2.17, + "grad_norm": 0.7899085879325867, + "learning_rate": 1.566305254378649e-05, + "loss": 0.6414, + "step": 2244 + }, + { + "epoch": 2.17, + "grad_norm": 1.0536019802093506, + "learning_rate": 1.5658882402001668e-05, + "loss": 0.788, + "step": 2245 + }, + { + "epoch": 2.17, + "grad_norm": 1.0894109010696411, + "learning_rate": 1.5654712260216847e-05, + "loss": 0.8154, + "step": 2246 + }, + { + "epoch": 2.17, + "grad_norm": 0.684657871723175, + "learning_rate": 1.565054211843203e-05, + "loss": 0.5359, + "step": 2247 + }, + { + "epoch": 2.18, + "grad_norm": 1.0765548944473267, + "learning_rate": 1.5646371976647207e-05, + "loss": 0.9123, + "step": 2248 + }, + { + "epoch": 2.18, + "grad_norm": 1.0038516521453857, + "learning_rate": 1.5642201834862385e-05, + "loss": 0.7188, + "step": 2249 + }, + { + "epoch": 2.18, + "grad_norm": 1.0498853921890259, + "learning_rate": 1.5638031693077563e-05, + "loss": 0.7372, + "step": 2250 + }, + { + "epoch": 2.18, + "grad_norm": 1.1157399415969849, + "learning_rate": 1.5633861551292745e-05, + "loss": 0.855, + "step": 2251 + }, + { + "epoch": 2.18, + "grad_norm": 0.9649900197982788, + "learning_rate": 1.5629691409507923e-05, + "loss": 0.6548, + "step": 2252 + }, + { + "epoch": 2.18, + "grad_norm": 1.0631023645401, + "learning_rate": 1.5625521267723102e-05, + "loss": 0.7645, + "step": 2253 + }, + { + "epoch": 2.18, + "grad_norm": 0.9681451916694641, + "learning_rate": 1.5621351125938283e-05, + "loss": 0.7616, + "step": 2254 + }, + { + "epoch": 2.18, + "grad_norm": 1.2898818254470825, + "learning_rate": 1.5617180984153462e-05, + "loss": 0.9081, + "step": 2255 + }, + { + "epoch": 2.18, + "grad_norm": 0.7924601435661316, + "learning_rate": 1.561301084236864e-05, + "loss": 0.7559, + "step": 2256 + }, + { + "epoch": 2.18, + "grad_norm": 0.8203884363174438, + "learning_rate": 1.5608840700583822e-05, + "loss": 0.7187, + "step": 2257 + }, + { + "epoch": 2.18, + "grad_norm": 1.2530419826507568, + "learning_rate": 1.5604670558799e-05, + "loss": 0.7236, + "step": 2258 + }, + { + "epoch": 2.19, + "grad_norm": 0.8241583108901978, + "learning_rate": 1.560050041701418e-05, + "loss": 0.9348, + "step": 2259 + }, + { + "epoch": 2.19, + "grad_norm": 1.0664094686508179, + "learning_rate": 1.559633027522936e-05, + "loss": 0.8294, + "step": 2260 + }, + { + "epoch": 2.19, + "grad_norm": 1.8984307050704956, + "learning_rate": 1.559216013344454e-05, + "loss": 0.705, + "step": 2261 + }, + { + "epoch": 2.19, + "grad_norm": 1.3012757301330566, + "learning_rate": 1.5587989991659717e-05, + "loss": 0.9063, + "step": 2262 + }, + { + "epoch": 2.19, + "grad_norm": 0.7973411679267883, + "learning_rate": 1.55838198498749e-05, + "loss": 0.8329, + "step": 2263 + }, + { + "epoch": 2.19, + "grad_norm": 1.2311053276062012, + "learning_rate": 1.5579649708090077e-05, + "loss": 0.8533, + "step": 2264 + }, + { + "epoch": 2.19, + "grad_norm": 1.0255029201507568, + "learning_rate": 1.5575479566305255e-05, + "loss": 0.9415, + "step": 2265 + }, + { + "epoch": 2.19, + "grad_norm": 0.8472704887390137, + "learning_rate": 1.5571309424520434e-05, + "loss": 0.6327, + "step": 2266 + }, + { + "epoch": 2.19, + "grad_norm": 1.3687258958816528, + "learning_rate": 1.5567139282735612e-05, + "loss": 0.6914, + "step": 2267 + }, + { + "epoch": 2.19, + "grad_norm": 0.7639702558517456, + "learning_rate": 1.5562969140950794e-05, + "loss": 0.8609, + "step": 2268 + }, + { + "epoch": 2.2, + "grad_norm": 0.930177628993988, + "learning_rate": 1.5558798999165972e-05, + "loss": 0.9222, + "step": 2269 + }, + { + "epoch": 2.2, + "grad_norm": 1.192868947982788, + "learning_rate": 1.555462885738115e-05, + "loss": 0.827, + "step": 2270 + }, + { + "epoch": 2.2, + "grad_norm": 0.9595503211021423, + "learning_rate": 1.555045871559633e-05, + "loss": 0.8009, + "step": 2271 + }, + { + "epoch": 2.2, + "grad_norm": 1.0626674890518188, + "learning_rate": 1.554628857381151e-05, + "loss": 0.735, + "step": 2272 + }, + { + "epoch": 2.2, + "grad_norm": 1.0121846199035645, + "learning_rate": 1.554211843202669e-05, + "loss": 0.8, + "step": 2273 + }, + { + "epoch": 2.2, + "grad_norm": 0.866920530796051, + "learning_rate": 1.5537948290241867e-05, + "loss": 0.7324, + "step": 2274 + }, + { + "epoch": 2.2, + "grad_norm": 0.9757292866706848, + "learning_rate": 1.553377814845705e-05, + "loss": 0.757, + "step": 2275 + }, + { + "epoch": 2.2, + "grad_norm": 0.9293901920318604, + "learning_rate": 1.5529608006672227e-05, + "loss": 0.7657, + "step": 2276 + }, + { + "epoch": 2.2, + "grad_norm": 0.8479053378105164, + "learning_rate": 1.5525437864887406e-05, + "loss": 0.6573, + "step": 2277 + }, + { + "epoch": 2.2, + "grad_norm": 0.9247562289237976, + "learning_rate": 1.5521267723102587e-05, + "loss": 0.7629, + "step": 2278 + }, + { + "epoch": 2.21, + "grad_norm": 0.9469642639160156, + "learning_rate": 1.5517097581317766e-05, + "loss": 0.8053, + "step": 2279 + }, + { + "epoch": 2.21, + "grad_norm": 1.0331043004989624, + "learning_rate": 1.5512927439532944e-05, + "loss": 0.7891, + "step": 2280 + }, + { + "epoch": 2.21, + "grad_norm": 0.8256339430809021, + "learning_rate": 1.5508757297748126e-05, + "loss": 0.6606, + "step": 2281 + }, + { + "epoch": 2.21, + "grad_norm": 0.9646778702735901, + "learning_rate": 1.5504587155963304e-05, + "loss": 0.6922, + "step": 2282 + }, + { + "epoch": 2.21, + "grad_norm": 1.0731933116912842, + "learning_rate": 1.5500417014178483e-05, + "loss": 0.8897, + "step": 2283 + }, + { + "epoch": 2.21, + "grad_norm": 1.066744089126587, + "learning_rate": 1.5496246872393664e-05, + "loss": 0.8472, + "step": 2284 + }, + { + "epoch": 2.21, + "grad_norm": 0.904292643070221, + "learning_rate": 1.5492076730608843e-05, + "loss": 0.7647, + "step": 2285 + }, + { + "epoch": 2.21, + "grad_norm": 0.8976383805274963, + "learning_rate": 1.548790658882402e-05, + "loss": 0.6827, + "step": 2286 + }, + { + "epoch": 2.21, + "grad_norm": 1.099399209022522, + "learning_rate": 1.54837364470392e-05, + "loss": 0.9242, + "step": 2287 + }, + { + "epoch": 2.21, + "grad_norm": 1.3464537858963013, + "learning_rate": 1.5479566305254378e-05, + "loss": 0.8635, + "step": 2288 + }, + { + "epoch": 2.21, + "grad_norm": 0.8587638735771179, + "learning_rate": 1.547539616346956e-05, + "loss": 0.7002, + "step": 2289 + }, + { + "epoch": 2.22, + "grad_norm": 1.2227245569229126, + "learning_rate": 1.5471226021684738e-05, + "loss": 0.8765, + "step": 2290 + }, + { + "epoch": 2.22, + "grad_norm": 0.9776998162269592, + "learning_rate": 1.5467055879899916e-05, + "loss": 0.6909, + "step": 2291 + }, + { + "epoch": 2.22, + "grad_norm": 0.979596734046936, + "learning_rate": 1.5462885738115094e-05, + "loss": 0.8069, + "step": 2292 + }, + { + "epoch": 2.22, + "grad_norm": 1.120553970336914, + "learning_rate": 1.5458715596330276e-05, + "loss": 0.7938, + "step": 2293 + }, + { + "epoch": 2.22, + "grad_norm": 1.1894030570983887, + "learning_rate": 1.5454545454545454e-05, + "loss": 0.8323, + "step": 2294 + }, + { + "epoch": 2.22, + "grad_norm": 0.9403709173202515, + "learning_rate": 1.5450375312760633e-05, + "loss": 0.8306, + "step": 2295 + }, + { + "epoch": 2.22, + "grad_norm": 1.1739723682403564, + "learning_rate": 1.5446205170975814e-05, + "loss": 0.9276, + "step": 2296 + }, + { + "epoch": 2.22, + "grad_norm": 0.8386858701705933, + "learning_rate": 1.5442035029190993e-05, + "loss": 0.7081, + "step": 2297 + }, + { + "epoch": 2.22, + "grad_norm": 1.0275095701217651, + "learning_rate": 1.543786488740617e-05, + "loss": 0.749, + "step": 2298 + }, + { + "epoch": 2.22, + "grad_norm": 1.2028393745422363, + "learning_rate": 1.5433694745621353e-05, + "loss": 0.8919, + "step": 2299 + }, + { + "epoch": 2.23, + "grad_norm": 0.966984212398529, + "learning_rate": 1.542952460383653e-05, + "loss": 0.7161, + "step": 2300 + }, + { + "epoch": 2.23, + "grad_norm": 0.9120237231254578, + "learning_rate": 1.542535446205171e-05, + "loss": 0.6876, + "step": 2301 + }, + { + "epoch": 2.23, + "grad_norm": 1.121302604675293, + "learning_rate": 1.542118432026689e-05, + "loss": 0.9366, + "step": 2302 + }, + { + "epoch": 2.23, + "grad_norm": 1.3326117992401123, + "learning_rate": 1.541701417848207e-05, + "loss": 0.7444, + "step": 2303 + }, + { + "epoch": 2.23, + "grad_norm": 0.9436169862747192, + "learning_rate": 1.5412844036697248e-05, + "loss": 0.691, + "step": 2304 + }, + { + "epoch": 2.23, + "grad_norm": 1.2369893789291382, + "learning_rate": 1.540867389491243e-05, + "loss": 0.8191, + "step": 2305 + }, + { + "epoch": 2.23, + "grad_norm": 0.9881744980812073, + "learning_rate": 1.5404503753127608e-05, + "loss": 0.7631, + "step": 2306 + }, + { + "epoch": 2.23, + "grad_norm": 0.830084502696991, + "learning_rate": 1.5400333611342786e-05, + "loss": 0.6783, + "step": 2307 + }, + { + "epoch": 2.23, + "grad_norm": 0.9090517163276672, + "learning_rate": 1.5396163469557968e-05, + "loss": 0.7818, + "step": 2308 + }, + { + "epoch": 2.23, + "grad_norm": 1.0197161436080933, + "learning_rate": 1.5391993327773143e-05, + "loss": 0.7951, + "step": 2309 + }, + { + "epoch": 2.24, + "grad_norm": 1.1543694734573364, + "learning_rate": 1.5387823185988325e-05, + "loss": 0.9052, + "step": 2310 + }, + { + "epoch": 2.24, + "grad_norm": 0.9041846990585327, + "learning_rate": 1.5383653044203503e-05, + "loss": 0.7614, + "step": 2311 + }, + { + "epoch": 2.24, + "grad_norm": 1.0322716236114502, + "learning_rate": 1.537948290241868e-05, + "loss": 0.9553, + "step": 2312 + }, + { + "epoch": 2.24, + "grad_norm": 1.0741111040115356, + "learning_rate": 1.537531276063386e-05, + "loss": 0.977, + "step": 2313 + }, + { + "epoch": 2.24, + "grad_norm": 1.1087331771850586, + "learning_rate": 1.537114261884904e-05, + "loss": 0.7975, + "step": 2314 + }, + { + "epoch": 2.24, + "grad_norm": 1.4409980773925781, + "learning_rate": 1.536697247706422e-05, + "loss": 0.9129, + "step": 2315 + }, + { + "epoch": 2.24, + "grad_norm": 0.983811616897583, + "learning_rate": 1.5362802335279398e-05, + "loss": 0.7722, + "step": 2316 + }, + { + "epoch": 2.24, + "grad_norm": 0.9371022582054138, + "learning_rate": 1.535863219349458e-05, + "loss": 0.8201, + "step": 2317 + }, + { + "epoch": 2.24, + "grad_norm": 0.8885154724121094, + "learning_rate": 1.535446205170976e-05, + "loss": 0.7693, + "step": 2318 + }, + { + "epoch": 2.24, + "grad_norm": 1.1781280040740967, + "learning_rate": 1.5350291909924937e-05, + "loss": 0.7799, + "step": 2319 + }, + { + "epoch": 2.24, + "grad_norm": 1.282933235168457, + "learning_rate": 1.534612176814012e-05, + "loss": 0.8988, + "step": 2320 + }, + { + "epoch": 2.25, + "grad_norm": 1.0285911560058594, + "learning_rate": 1.5341951626355297e-05, + "loss": 0.8415, + "step": 2321 + }, + { + "epoch": 2.25, + "grad_norm": 0.9991206526756287, + "learning_rate": 1.5337781484570475e-05, + "loss": 0.7498, + "step": 2322 + }, + { + "epoch": 2.25, + "grad_norm": 1.16104257106781, + "learning_rate": 1.5333611342785657e-05, + "loss": 0.6966, + "step": 2323 + }, + { + "epoch": 2.25, + "grad_norm": 1.0967849493026733, + "learning_rate": 1.5329441201000835e-05, + "loss": 0.8287, + "step": 2324 + }, + { + "epoch": 2.25, + "grad_norm": 0.8688979744911194, + "learning_rate": 1.5325271059216014e-05, + "loss": 0.7882, + "step": 2325 + }, + { + "epoch": 2.25, + "grad_norm": 0.8765340447425842, + "learning_rate": 1.5321100917431195e-05, + "loss": 0.8228, + "step": 2326 + }, + { + "epoch": 2.25, + "grad_norm": 0.7944102883338928, + "learning_rate": 1.5316930775646374e-05, + "loss": 0.6981, + "step": 2327 + }, + { + "epoch": 2.25, + "grad_norm": 1.0111504793167114, + "learning_rate": 1.5312760633861552e-05, + "loss": 0.6623, + "step": 2328 + }, + { + "epoch": 2.25, + "grad_norm": 0.975400447845459, + "learning_rate": 1.5308590492076734e-05, + "loss": 0.9398, + "step": 2329 + }, + { + "epoch": 2.25, + "grad_norm": 0.9231041669845581, + "learning_rate": 1.5304420350291912e-05, + "loss": 0.7531, + "step": 2330 + }, + { + "epoch": 2.26, + "grad_norm": 0.9467725157737732, + "learning_rate": 1.530025020850709e-05, + "loss": 0.702, + "step": 2331 + }, + { + "epoch": 2.26, + "grad_norm": 0.7570741176605225, + "learning_rate": 1.529608006672227e-05, + "loss": 0.6856, + "step": 2332 + }, + { + "epoch": 2.26, + "grad_norm": 0.8014876842498779, + "learning_rate": 1.5291909924937447e-05, + "loss": 0.825, + "step": 2333 + }, + { + "epoch": 2.26, + "grad_norm": 0.8260470032691956, + "learning_rate": 1.5287739783152625e-05, + "loss": 0.8073, + "step": 2334 + }, + { + "epoch": 2.26, + "grad_norm": 1.0130025148391724, + "learning_rate": 1.5283569641367807e-05, + "loss": 0.8824, + "step": 2335 + }, + { + "epoch": 2.26, + "grad_norm": 1.0963178873062134, + "learning_rate": 1.5279399499582985e-05, + "loss": 0.7541, + "step": 2336 + }, + { + "epoch": 2.26, + "grad_norm": 1.0289658308029175, + "learning_rate": 1.5275229357798164e-05, + "loss": 0.7209, + "step": 2337 + }, + { + "epoch": 2.26, + "grad_norm": 1.0415352582931519, + "learning_rate": 1.5271059216013345e-05, + "loss": 0.6913, + "step": 2338 + }, + { + "epoch": 2.26, + "grad_norm": 0.7525619864463806, + "learning_rate": 1.5266889074228524e-05, + "loss": 0.7226, + "step": 2339 + }, + { + "epoch": 2.26, + "grad_norm": 0.9175150394439697, + "learning_rate": 1.5262718932443702e-05, + "loss": 0.7043, + "step": 2340 + }, + { + "epoch": 2.27, + "grad_norm": 0.9316065311431885, + "learning_rate": 1.5258548790658884e-05, + "loss": 0.8193, + "step": 2341 + }, + { + "epoch": 2.27, + "grad_norm": 1.0958821773529053, + "learning_rate": 1.5254378648874062e-05, + "loss": 0.74, + "step": 2342 + }, + { + "epoch": 2.27, + "grad_norm": 1.0741395950317383, + "learning_rate": 1.5250208507089242e-05, + "loss": 0.7807, + "step": 2343 + }, + { + "epoch": 2.27, + "grad_norm": 0.933631420135498, + "learning_rate": 1.524603836530442e-05, + "loss": 0.7426, + "step": 2344 + }, + { + "epoch": 2.27, + "grad_norm": 1.273094892501831, + "learning_rate": 1.52418682235196e-05, + "loss": 0.9209, + "step": 2345 + }, + { + "epoch": 2.27, + "grad_norm": 1.01974618434906, + "learning_rate": 1.523769808173478e-05, + "loss": 0.6764, + "step": 2346 + }, + { + "epoch": 2.27, + "grad_norm": 0.8793160319328308, + "learning_rate": 1.5233527939949959e-05, + "loss": 0.9097, + "step": 2347 + }, + { + "epoch": 2.27, + "grad_norm": 1.2934136390686035, + "learning_rate": 1.5229357798165139e-05, + "loss": 0.73, + "step": 2348 + }, + { + "epoch": 2.27, + "grad_norm": 1.027243971824646, + "learning_rate": 1.5225187656380319e-05, + "loss": 0.7624, + "step": 2349 + }, + { + "epoch": 2.27, + "grad_norm": 0.9526708722114563, + "learning_rate": 1.5221017514595497e-05, + "loss": 0.77, + "step": 2350 + }, + { + "epoch": 2.27, + "grad_norm": 0.8346748352050781, + "learning_rate": 1.5216847372810677e-05, + "loss": 0.9246, + "step": 2351 + }, + { + "epoch": 2.28, + "grad_norm": 0.8471389412879944, + "learning_rate": 1.5212677231025858e-05, + "loss": 0.6734, + "step": 2352 + }, + { + "epoch": 2.28, + "grad_norm": 0.9876181483268738, + "learning_rate": 1.5208507089241034e-05, + "loss": 0.8737, + "step": 2353 + }, + { + "epoch": 2.28, + "grad_norm": 1.1626025438308716, + "learning_rate": 1.5204336947456213e-05, + "loss": 0.7267, + "step": 2354 + }, + { + "epoch": 2.28, + "grad_norm": 0.9918262362480164, + "learning_rate": 1.5200166805671393e-05, + "loss": 0.7456, + "step": 2355 + }, + { + "epoch": 2.28, + "grad_norm": 0.9942308068275452, + "learning_rate": 1.5195996663886573e-05, + "loss": 0.971, + "step": 2356 + }, + { + "epoch": 2.28, + "grad_norm": 1.140756368637085, + "learning_rate": 1.5191826522101751e-05, + "loss": 0.7583, + "step": 2357 + }, + { + "epoch": 2.28, + "grad_norm": 1.0223493576049805, + "learning_rate": 1.5187656380316931e-05, + "loss": 0.6843, + "step": 2358 + }, + { + "epoch": 2.28, + "grad_norm": 0.9731907844543457, + "learning_rate": 1.5183486238532111e-05, + "loss": 0.8084, + "step": 2359 + }, + { + "epoch": 2.28, + "grad_norm": 1.0492857694625854, + "learning_rate": 1.517931609674729e-05, + "loss": 0.8144, + "step": 2360 + }, + { + "epoch": 2.28, + "grad_norm": 1.0658091306686401, + "learning_rate": 1.517514595496247e-05, + "loss": 0.8438, + "step": 2361 + }, + { + "epoch": 2.29, + "grad_norm": 1.0236061811447144, + "learning_rate": 1.517097581317765e-05, + "loss": 0.8658, + "step": 2362 + }, + { + "epoch": 2.29, + "grad_norm": 0.9899030327796936, + "learning_rate": 1.5166805671392828e-05, + "loss": 0.7864, + "step": 2363 + }, + { + "epoch": 2.29, + "grad_norm": 1.3745994567871094, + "learning_rate": 1.5162635529608008e-05, + "loss": 0.7257, + "step": 2364 + }, + { + "epoch": 2.29, + "grad_norm": 0.9801398515701294, + "learning_rate": 1.5158465387823186e-05, + "loss": 0.703, + "step": 2365 + }, + { + "epoch": 2.29, + "grad_norm": 1.115680456161499, + "learning_rate": 1.5154295246038366e-05, + "loss": 0.6929, + "step": 2366 + }, + { + "epoch": 2.29, + "grad_norm": 1.1133002042770386, + "learning_rate": 1.5150125104253546e-05, + "loss": 0.7608, + "step": 2367 + }, + { + "epoch": 2.29, + "grad_norm": 1.066537857055664, + "learning_rate": 1.5145954962468725e-05, + "loss": 0.7826, + "step": 2368 + }, + { + "epoch": 2.29, + "grad_norm": 1.1910746097564697, + "learning_rate": 1.5141784820683905e-05, + "loss": 0.6931, + "step": 2369 + }, + { + "epoch": 2.29, + "grad_norm": 0.9862872362136841, + "learning_rate": 1.5137614678899085e-05, + "loss": 0.842, + "step": 2370 + }, + { + "epoch": 2.29, + "grad_norm": 1.0653647184371948, + "learning_rate": 1.5133444537114263e-05, + "loss": 0.7057, + "step": 2371 + }, + { + "epoch": 2.3, + "grad_norm": 1.0766165256500244, + "learning_rate": 1.5129274395329443e-05, + "loss": 0.777, + "step": 2372 + }, + { + "epoch": 2.3, + "grad_norm": 0.9453743696212769, + "learning_rate": 1.5125104253544623e-05, + "loss": 0.712, + "step": 2373 + }, + { + "epoch": 2.3, + "grad_norm": 1.1627554893493652, + "learning_rate": 1.5120934111759801e-05, + "loss": 0.7987, + "step": 2374 + }, + { + "epoch": 2.3, + "grad_norm": 0.9203681349754333, + "learning_rate": 1.5116763969974978e-05, + "loss": 0.8754, + "step": 2375 + }, + { + "epoch": 2.3, + "grad_norm": 0.9075586199760437, + "learning_rate": 1.5112593828190158e-05, + "loss": 0.7354, + "step": 2376 + }, + { + "epoch": 2.3, + "grad_norm": 1.0071501731872559, + "learning_rate": 1.5108423686405338e-05, + "loss": 0.7392, + "step": 2377 + }, + { + "epoch": 2.3, + "grad_norm": 0.7854121923446655, + "learning_rate": 1.5104253544620516e-05, + "loss": 0.6607, + "step": 2378 + }, + { + "epoch": 2.3, + "grad_norm": 1.2785691022872925, + "learning_rate": 1.5100083402835696e-05, + "loss": 0.7751, + "step": 2379 + }, + { + "epoch": 2.3, + "grad_norm": 0.9806633591651917, + "learning_rate": 1.5095913261050877e-05, + "loss": 0.7516, + "step": 2380 + }, + { + "epoch": 2.3, + "grad_norm": 0.8491905927658081, + "learning_rate": 1.5091743119266055e-05, + "loss": 0.6876, + "step": 2381 + }, + { + "epoch": 2.3, + "grad_norm": 1.3159868717193604, + "learning_rate": 1.5087572977481235e-05, + "loss": 0.9476, + "step": 2382 + }, + { + "epoch": 2.31, + "grad_norm": 1.1435357332229614, + "learning_rate": 1.5083402835696415e-05, + "loss": 0.7642, + "step": 2383 + }, + { + "epoch": 2.31, + "grad_norm": 1.0775221586227417, + "learning_rate": 1.5079232693911593e-05, + "loss": 0.7662, + "step": 2384 + }, + { + "epoch": 2.31, + "grad_norm": 1.0149295330047607, + "learning_rate": 1.5075062552126773e-05, + "loss": 0.8881, + "step": 2385 + }, + { + "epoch": 2.31, + "grad_norm": 1.4071353673934937, + "learning_rate": 1.5070892410341952e-05, + "loss": 0.6901, + "step": 2386 + }, + { + "epoch": 2.31, + "grad_norm": 1.1065555810928345, + "learning_rate": 1.5066722268557132e-05, + "loss": 0.8428, + "step": 2387 + }, + { + "epoch": 2.31, + "grad_norm": 1.132178544998169, + "learning_rate": 1.5062552126772312e-05, + "loss": 0.8424, + "step": 2388 + }, + { + "epoch": 2.31, + "grad_norm": 1.1405022144317627, + "learning_rate": 1.505838198498749e-05, + "loss": 0.8123, + "step": 2389 + }, + { + "epoch": 2.31, + "grad_norm": 1.080263376235962, + "learning_rate": 1.505421184320267e-05, + "loss": 0.8471, + "step": 2390 + }, + { + "epoch": 2.31, + "grad_norm": 0.9919416308403015, + "learning_rate": 1.505004170141785e-05, + "loss": 0.7956, + "step": 2391 + }, + { + "epoch": 2.31, + "grad_norm": 0.8982715010643005, + "learning_rate": 1.5045871559633028e-05, + "loss": 0.6707, + "step": 2392 + }, + { + "epoch": 2.32, + "grad_norm": 1.2312848567962646, + "learning_rate": 1.5041701417848208e-05, + "loss": 0.8145, + "step": 2393 + }, + { + "epoch": 2.32, + "grad_norm": 1.0642844438552856, + "learning_rate": 1.5037531276063389e-05, + "loss": 0.722, + "step": 2394 + }, + { + "epoch": 2.32, + "grad_norm": 1.0874722003936768, + "learning_rate": 1.5033361134278567e-05, + "loss": 0.7461, + "step": 2395 + }, + { + "epoch": 2.32, + "grad_norm": 1.0368455648422241, + "learning_rate": 1.5029190992493747e-05, + "loss": 0.6815, + "step": 2396 + }, + { + "epoch": 2.32, + "grad_norm": 1.1160770654678345, + "learning_rate": 1.5025020850708924e-05, + "loss": 0.7836, + "step": 2397 + }, + { + "epoch": 2.32, + "grad_norm": 1.3099870681762695, + "learning_rate": 1.5020850708924104e-05, + "loss": 0.7628, + "step": 2398 + }, + { + "epoch": 2.32, + "grad_norm": 1.271332859992981, + "learning_rate": 1.5016680567139282e-05, + "loss": 0.7769, + "step": 2399 + }, + { + "epoch": 2.32, + "grad_norm": 1.4555895328521729, + "learning_rate": 1.5012510425354462e-05, + "loss": 0.8524, + "step": 2400 + }, + { + "epoch": 2.32, + "eval_loss": 0.8605761528015137, + "eval_runtime": 863.6592, + "eval_samples_per_second": 4.787, + "eval_steps_per_second": 0.599, + "step": 2400 + }, + { + "epoch": 2.32, + "grad_norm": 1.1177767515182495, + "learning_rate": 1.5008340283569642e-05, + "loss": 0.7915, + "step": 2401 + }, + { + "epoch": 2.32, + "grad_norm": 1.5156725645065308, + "learning_rate": 1.500417014178482e-05, + "loss": 0.8272, + "step": 2402 + }, + { + "epoch": 2.33, + "grad_norm": 1.3511289358139038, + "learning_rate": 1.5e-05, + "loss": 0.8816, + "step": 2403 + }, + { + "epoch": 2.33, + "grad_norm": 1.165727972984314, + "learning_rate": 1.499582985821518e-05, + "loss": 0.9877, + "step": 2404 + }, + { + "epoch": 2.33, + "grad_norm": 1.2290936708450317, + "learning_rate": 1.4991659716430359e-05, + "loss": 0.9303, + "step": 2405 + }, + { + "epoch": 2.33, + "grad_norm": 0.9251800775527954, + "learning_rate": 1.4987489574645539e-05, + "loss": 0.8536, + "step": 2406 + }, + { + "epoch": 2.33, + "grad_norm": 0.9040620923042297, + "learning_rate": 1.4983319432860717e-05, + "loss": 0.7619, + "step": 2407 + }, + { + "epoch": 2.33, + "grad_norm": 1.1455086469650269, + "learning_rate": 1.4979149291075897e-05, + "loss": 0.7674, + "step": 2408 + }, + { + "epoch": 2.33, + "grad_norm": 1.2120414972305298, + "learning_rate": 1.4974979149291077e-05, + "loss": 0.8202, + "step": 2409 + }, + { + "epoch": 2.33, + "grad_norm": 1.067554235458374, + "learning_rate": 1.4970809007506256e-05, + "loss": 0.6787, + "step": 2410 + }, + { + "epoch": 2.33, + "grad_norm": 0.6836997270584106, + "learning_rate": 1.4966638865721436e-05, + "loss": 0.5716, + "step": 2411 + }, + { + "epoch": 2.33, + "grad_norm": 1.0842711925506592, + "learning_rate": 1.4962468723936616e-05, + "loss": 0.8394, + "step": 2412 + }, + { + "epoch": 2.33, + "grad_norm": 1.1092129945755005, + "learning_rate": 1.4958298582151794e-05, + "loss": 1.1735, + "step": 2413 + }, + { + "epoch": 2.34, + "grad_norm": 0.9860001802444458, + "learning_rate": 1.4954128440366974e-05, + "loss": 0.6733, + "step": 2414 + }, + { + "epoch": 2.34, + "grad_norm": 1.0038868188858032, + "learning_rate": 1.4949958298582154e-05, + "loss": 0.804, + "step": 2415 + }, + { + "epoch": 2.34, + "grad_norm": 0.8287605047225952, + "learning_rate": 1.4945788156797332e-05, + "loss": 0.8498, + "step": 2416 + }, + { + "epoch": 2.34, + "grad_norm": 0.9643548130989075, + "learning_rate": 1.4941618015012512e-05, + "loss": 0.7996, + "step": 2417 + }, + { + "epoch": 2.34, + "grad_norm": 1.1146243810653687, + "learning_rate": 1.4937447873227692e-05, + "loss": 0.7992, + "step": 2418 + }, + { + "epoch": 2.34, + "grad_norm": 1.0986387729644775, + "learning_rate": 1.4933277731442869e-05, + "loss": 0.7953, + "step": 2419 + }, + { + "epoch": 2.34, + "grad_norm": 1.1130226850509644, + "learning_rate": 1.4929107589658047e-05, + "loss": 0.6496, + "step": 2420 + }, + { + "epoch": 2.34, + "grad_norm": 0.9268125891685486, + "learning_rate": 1.4924937447873227e-05, + "loss": 0.6925, + "step": 2421 + }, + { + "epoch": 2.34, + "grad_norm": 0.9926366806030273, + "learning_rate": 1.4920767306088408e-05, + "loss": 0.6252, + "step": 2422 + }, + { + "epoch": 2.34, + "grad_norm": 1.0540924072265625, + "learning_rate": 1.4916597164303586e-05, + "loss": 0.7706, + "step": 2423 + }, + { + "epoch": 2.35, + "grad_norm": 0.9486244320869446, + "learning_rate": 1.4912427022518766e-05, + "loss": 0.8154, + "step": 2424 + }, + { + "epoch": 2.35, + "grad_norm": 1.0641378164291382, + "learning_rate": 1.4908256880733946e-05, + "loss": 0.8164, + "step": 2425 + }, + { + "epoch": 2.35, + "grad_norm": 1.0328772068023682, + "learning_rate": 1.4904086738949124e-05, + "loss": 0.9221, + "step": 2426 + }, + { + "epoch": 2.35, + "grad_norm": 1.0538557767868042, + "learning_rate": 1.4899916597164304e-05, + "loss": 0.7329, + "step": 2427 + }, + { + "epoch": 2.35, + "grad_norm": 1.2408058643341064, + "learning_rate": 1.4895746455379483e-05, + "loss": 0.8769, + "step": 2428 + }, + { + "epoch": 2.35, + "grad_norm": 0.8567038774490356, + "learning_rate": 1.4891576313594663e-05, + "loss": 0.6346, + "step": 2429 + }, + { + "epoch": 2.35, + "grad_norm": 1.9005969762802124, + "learning_rate": 1.4887406171809843e-05, + "loss": 0.7377, + "step": 2430 + }, + { + "epoch": 2.35, + "grad_norm": 0.9995697140693665, + "learning_rate": 1.4883236030025021e-05, + "loss": 0.803, + "step": 2431 + }, + { + "epoch": 2.35, + "grad_norm": 1.3635972738265991, + "learning_rate": 1.4879065888240201e-05, + "loss": 0.9794, + "step": 2432 + }, + { + "epoch": 2.35, + "grad_norm": 0.9377020597457886, + "learning_rate": 1.4874895746455381e-05, + "loss": 0.7663, + "step": 2433 + }, + { + "epoch": 2.36, + "grad_norm": 1.0614627599716187, + "learning_rate": 1.487072560467056e-05, + "loss": 0.8109, + "step": 2434 + }, + { + "epoch": 2.36, + "grad_norm": 1.0078130960464478, + "learning_rate": 1.486655546288574e-05, + "loss": 0.7489, + "step": 2435 + }, + { + "epoch": 2.36, + "grad_norm": 1.0565495491027832, + "learning_rate": 1.486238532110092e-05, + "loss": 0.6227, + "step": 2436 + }, + { + "epoch": 2.36, + "grad_norm": 0.8528274297714233, + "learning_rate": 1.4858215179316098e-05, + "loss": 0.8566, + "step": 2437 + }, + { + "epoch": 2.36, + "grad_norm": 1.1877105236053467, + "learning_rate": 1.4854045037531278e-05, + "loss": 0.8842, + "step": 2438 + }, + { + "epoch": 2.36, + "grad_norm": 1.6521265506744385, + "learning_rate": 1.4849874895746458e-05, + "loss": 0.7311, + "step": 2439 + }, + { + "epoch": 2.36, + "grad_norm": 0.9754562377929688, + "learning_rate": 1.4845704753961636e-05, + "loss": 0.7359, + "step": 2440 + }, + { + "epoch": 2.36, + "grad_norm": 0.9027519822120667, + "learning_rate": 1.4841534612176813e-05, + "loss": 0.8535, + "step": 2441 + }, + { + "epoch": 2.36, + "grad_norm": 0.951948344707489, + "learning_rate": 1.4837364470391993e-05, + "loss": 0.7817, + "step": 2442 + }, + { + "epoch": 2.36, + "grad_norm": 0.8622574806213379, + "learning_rate": 1.4833194328607173e-05, + "loss": 0.7068, + "step": 2443 + }, + { + "epoch": 2.36, + "grad_norm": 0.9330490827560425, + "learning_rate": 1.4829024186822351e-05, + "loss": 0.7757, + "step": 2444 + }, + { + "epoch": 2.37, + "grad_norm": 1.1124109029769897, + "learning_rate": 1.4824854045037531e-05, + "loss": 0.9856, + "step": 2445 + }, + { + "epoch": 2.37, + "grad_norm": 1.11786687374115, + "learning_rate": 1.4820683903252711e-05, + "loss": 0.7324, + "step": 2446 + }, + { + "epoch": 2.37, + "grad_norm": 1.2497903108596802, + "learning_rate": 1.481651376146789e-05, + "loss": 0.8847, + "step": 2447 + }, + { + "epoch": 2.37, + "grad_norm": 1.0980198383331299, + "learning_rate": 1.481234361968307e-05, + "loss": 0.9159, + "step": 2448 + }, + { + "epoch": 2.37, + "grad_norm": 0.8098524808883667, + "learning_rate": 1.4808173477898248e-05, + "loss": 0.7429, + "step": 2449 + }, + { + "epoch": 2.37, + "grad_norm": 1.1101230382919312, + "learning_rate": 1.4804003336113428e-05, + "loss": 0.7996, + "step": 2450 + }, + { + "epoch": 2.37, + "grad_norm": 0.995833158493042, + "learning_rate": 1.4799833194328608e-05, + "loss": 0.8586, + "step": 2451 + }, + { + "epoch": 2.37, + "grad_norm": 1.0209569931030273, + "learning_rate": 1.4795663052543787e-05, + "loss": 0.7839, + "step": 2452 + }, + { + "epoch": 2.37, + "grad_norm": 1.0073914527893066, + "learning_rate": 1.4791492910758967e-05, + "loss": 0.8611, + "step": 2453 + }, + { + "epoch": 2.37, + "grad_norm": 0.8066108226776123, + "learning_rate": 1.4787322768974147e-05, + "loss": 0.8402, + "step": 2454 + }, + { + "epoch": 2.38, + "grad_norm": 1.0193507671356201, + "learning_rate": 1.4783152627189325e-05, + "loss": 0.7256, + "step": 2455 + }, + { + "epoch": 2.38, + "grad_norm": 0.9979802370071411, + "learning_rate": 1.4778982485404505e-05, + "loss": 0.78, + "step": 2456 + }, + { + "epoch": 2.38, + "grad_norm": 1.2355434894561768, + "learning_rate": 1.4774812343619685e-05, + "loss": 0.7197, + "step": 2457 + }, + { + "epoch": 2.38, + "grad_norm": 0.8566192984580994, + "learning_rate": 1.4770642201834863e-05, + "loss": 0.7894, + "step": 2458 + }, + { + "epoch": 2.38, + "grad_norm": 1.0507533550262451, + "learning_rate": 1.4766472060050043e-05, + "loss": 0.6969, + "step": 2459 + }, + { + "epoch": 2.38, + "grad_norm": 0.9857069253921509, + "learning_rate": 1.4762301918265223e-05, + "loss": 0.8566, + "step": 2460 + }, + { + "epoch": 2.38, + "grad_norm": 0.9875921607017517, + "learning_rate": 1.4758131776480402e-05, + "loss": 0.7039, + "step": 2461 + }, + { + "epoch": 2.38, + "grad_norm": 0.887069582939148, + "learning_rate": 1.4753961634695582e-05, + "loss": 0.7024, + "step": 2462 + }, + { + "epoch": 2.38, + "grad_norm": 1.0846948623657227, + "learning_rate": 1.4749791492910758e-05, + "loss": 0.8423, + "step": 2463 + }, + { + "epoch": 2.38, + "grad_norm": 1.1288800239562988, + "learning_rate": 1.4745621351125939e-05, + "loss": 0.8048, + "step": 2464 + }, + { + "epoch": 2.39, + "grad_norm": 1.0812489986419678, + "learning_rate": 1.4741451209341117e-05, + "loss": 1.0046, + "step": 2465 + }, + { + "epoch": 2.39, + "grad_norm": 1.2059158086776733, + "learning_rate": 1.4737281067556297e-05, + "loss": 0.7459, + "step": 2466 + }, + { + "epoch": 2.39, + "grad_norm": 1.4521628618240356, + "learning_rate": 1.4733110925771477e-05, + "loss": 0.9555, + "step": 2467 + }, + { + "epoch": 2.39, + "grad_norm": 0.8559266924858093, + "learning_rate": 1.4728940783986655e-05, + "loss": 0.9021, + "step": 2468 + }, + { + "epoch": 2.39, + "grad_norm": 1.0513862371444702, + "learning_rate": 1.4724770642201835e-05, + "loss": 0.6691, + "step": 2469 + }, + { + "epoch": 2.39, + "grad_norm": 1.1637624502182007, + "learning_rate": 1.4720600500417014e-05, + "loss": 0.7172, + "step": 2470 + }, + { + "epoch": 2.39, + "grad_norm": 0.9428846836090088, + "learning_rate": 1.4716430358632194e-05, + "loss": 0.7888, + "step": 2471 + }, + { + "epoch": 2.39, + "grad_norm": 1.0579947233200073, + "learning_rate": 1.4712260216847374e-05, + "loss": 0.7429, + "step": 2472 + }, + { + "epoch": 2.39, + "grad_norm": 1.0878806114196777, + "learning_rate": 1.4708090075062552e-05, + "loss": 0.8522, + "step": 2473 + }, + { + "epoch": 2.39, + "grad_norm": 1.0605523586273193, + "learning_rate": 1.4703919933277732e-05, + "loss": 0.7552, + "step": 2474 + }, + { + "epoch": 2.39, + "grad_norm": 1.0693752765655518, + "learning_rate": 1.4699749791492912e-05, + "loss": 0.7071, + "step": 2475 + }, + { + "epoch": 2.4, + "grad_norm": 1.183903694152832, + "learning_rate": 1.469557964970809e-05, + "loss": 0.6952, + "step": 2476 + }, + { + "epoch": 2.4, + "grad_norm": 0.9971917867660522, + "learning_rate": 1.469140950792327e-05, + "loss": 0.7462, + "step": 2477 + }, + { + "epoch": 2.4, + "grad_norm": 0.9832438230514526, + "learning_rate": 1.468723936613845e-05, + "loss": 0.8953, + "step": 2478 + }, + { + "epoch": 2.4, + "grad_norm": 1.3093258142471313, + "learning_rate": 1.4683069224353629e-05, + "loss": 0.6895, + "step": 2479 + }, + { + "epoch": 2.4, + "grad_norm": 0.7866649031639099, + "learning_rate": 1.4678899082568809e-05, + "loss": 0.7137, + "step": 2480 + }, + { + "epoch": 2.4, + "grad_norm": 0.802249014377594, + "learning_rate": 1.4674728940783989e-05, + "loss": 0.6838, + "step": 2481 + }, + { + "epoch": 2.4, + "grad_norm": 0.9277610182762146, + "learning_rate": 1.4670558798999167e-05, + "loss": 0.6888, + "step": 2482 + }, + { + "epoch": 2.4, + "grad_norm": 1.0873931646347046, + "learning_rate": 1.4666388657214347e-05, + "loss": 0.748, + "step": 2483 + }, + { + "epoch": 2.4, + "grad_norm": 0.9843421578407288, + "learning_rate": 1.4662218515429527e-05, + "loss": 0.8371, + "step": 2484 + }, + { + "epoch": 2.4, + "grad_norm": 0.995010256767273, + "learning_rate": 1.4658048373644704e-05, + "loss": 0.6441, + "step": 2485 + }, + { + "epoch": 2.41, + "grad_norm": 1.1613937616348267, + "learning_rate": 1.4653878231859882e-05, + "loss": 0.8658, + "step": 2486 + }, + { + "epoch": 2.41, + "grad_norm": 0.969513475894928, + "learning_rate": 1.4649708090075062e-05, + "loss": 0.9646, + "step": 2487 + }, + { + "epoch": 2.41, + "grad_norm": 1.1406843662261963, + "learning_rate": 1.4645537948290242e-05, + "loss": 0.7889, + "step": 2488 + }, + { + "epoch": 2.41, + "grad_norm": 1.3650848865509033, + "learning_rate": 1.464136780650542e-05, + "loss": 0.6792, + "step": 2489 + }, + { + "epoch": 2.41, + "grad_norm": 1.1402392387390137, + "learning_rate": 1.46371976647206e-05, + "loss": 0.8006, + "step": 2490 + }, + { + "epoch": 2.41, + "grad_norm": 1.1594524383544922, + "learning_rate": 1.4633027522935779e-05, + "loss": 0.7532, + "step": 2491 + }, + { + "epoch": 2.41, + "grad_norm": 0.9860802292823792, + "learning_rate": 1.462885738115096e-05, + "loss": 0.7719, + "step": 2492 + }, + { + "epoch": 2.41, + "grad_norm": 0.9230167269706726, + "learning_rate": 1.462468723936614e-05, + "loss": 0.7951, + "step": 2493 + }, + { + "epoch": 2.41, + "grad_norm": 0.8693107962608337, + "learning_rate": 1.4620517097581318e-05, + "loss": 0.7055, + "step": 2494 + }, + { + "epoch": 2.41, + "grad_norm": 0.9303106069564819, + "learning_rate": 1.4616346955796498e-05, + "loss": 0.6439, + "step": 2495 + }, + { + "epoch": 2.42, + "grad_norm": 1.0891813039779663, + "learning_rate": 1.4612176814011678e-05, + "loss": 0.7905, + "step": 2496 + }, + { + "epoch": 2.42, + "grad_norm": 0.8817651867866516, + "learning_rate": 1.4608006672226856e-05, + "loss": 0.7453, + "step": 2497 + }, + { + "epoch": 2.42, + "grad_norm": 0.9802581071853638, + "learning_rate": 1.4603836530442036e-05, + "loss": 0.8728, + "step": 2498 + }, + { + "epoch": 2.42, + "grad_norm": 1.0383776426315308, + "learning_rate": 1.4599666388657216e-05, + "loss": 0.6859, + "step": 2499 + }, + { + "epoch": 2.42, + "grad_norm": 1.0404419898986816, + "learning_rate": 1.4595496246872394e-05, + "loss": 0.7725, + "step": 2500 + }, + { + "epoch": 2.42, + "grad_norm": 0.9581718444824219, + "learning_rate": 1.4591326105087574e-05, + "loss": 0.7451, + "step": 2501 + }, + { + "epoch": 2.42, + "grad_norm": 0.9691663980484009, + "learning_rate": 1.4587155963302754e-05, + "loss": 0.6708, + "step": 2502 + }, + { + "epoch": 2.42, + "grad_norm": 0.9877256751060486, + "learning_rate": 1.4582985821517933e-05, + "loss": 0.8113, + "step": 2503 + }, + { + "epoch": 2.42, + "grad_norm": 0.98164963722229, + "learning_rate": 1.4578815679733113e-05, + "loss": 0.7707, + "step": 2504 + }, + { + "epoch": 2.42, + "grad_norm": 0.8954334855079651, + "learning_rate": 1.4574645537948293e-05, + "loss": 0.6812, + "step": 2505 + }, + { + "epoch": 2.42, + "grad_norm": 1.0525143146514893, + "learning_rate": 1.4570475396163471e-05, + "loss": 0.6914, + "step": 2506 + }, + { + "epoch": 2.43, + "grad_norm": 0.9970399141311646, + "learning_rate": 1.4566305254378648e-05, + "loss": 0.6944, + "step": 2507 + }, + { + "epoch": 2.43, + "grad_norm": 1.0775173902511597, + "learning_rate": 1.4562135112593828e-05, + "loss": 0.7423, + "step": 2508 + }, + { + "epoch": 2.43, + "grad_norm": 1.1857308149337769, + "learning_rate": 1.4557964970809008e-05, + "loss": 0.7641, + "step": 2509 + }, + { + "epoch": 2.43, + "grad_norm": 1.095208764076233, + "learning_rate": 1.4553794829024186e-05, + "loss": 0.8027, + "step": 2510 + }, + { + "epoch": 2.43, + "grad_norm": 1.115408182144165, + "learning_rate": 1.4549624687239366e-05, + "loss": 0.9024, + "step": 2511 + }, + { + "epoch": 2.43, + "grad_norm": 1.2114050388336182, + "learning_rate": 1.4545454545454545e-05, + "loss": 0.759, + "step": 2512 + }, + { + "epoch": 2.43, + "grad_norm": 1.0880801677703857, + "learning_rate": 1.4541284403669725e-05, + "loss": 0.8393, + "step": 2513 + }, + { + "epoch": 2.43, + "grad_norm": 1.1274889707565308, + "learning_rate": 1.4537114261884905e-05, + "loss": 0.6232, + "step": 2514 + }, + { + "epoch": 2.43, + "grad_norm": 1.0892455577850342, + "learning_rate": 1.4532944120100083e-05, + "loss": 0.6929, + "step": 2515 + }, + { + "epoch": 2.43, + "grad_norm": 0.9533438682556152, + "learning_rate": 1.4528773978315263e-05, + "loss": 0.8613, + "step": 2516 + }, + { + "epoch": 2.44, + "grad_norm": 1.170086145401001, + "learning_rate": 1.4524603836530443e-05, + "loss": 0.7859, + "step": 2517 + }, + { + "epoch": 2.44, + "grad_norm": 1.0533356666564941, + "learning_rate": 1.4520433694745621e-05, + "loss": 0.7499, + "step": 2518 + }, + { + "epoch": 2.44, + "grad_norm": 0.968090832233429, + "learning_rate": 1.4516263552960802e-05, + "loss": 0.8498, + "step": 2519 + }, + { + "epoch": 2.44, + "grad_norm": 0.9688717722892761, + "learning_rate": 1.4512093411175982e-05, + "loss": 0.7848, + "step": 2520 + }, + { + "epoch": 2.44, + "grad_norm": 1.1283347606658936, + "learning_rate": 1.450792326939116e-05, + "loss": 0.7502, + "step": 2521 + }, + { + "epoch": 2.44, + "grad_norm": 1.0809539556503296, + "learning_rate": 1.450375312760634e-05, + "loss": 0.8992, + "step": 2522 + }, + { + "epoch": 2.44, + "grad_norm": 1.147693157196045, + "learning_rate": 1.449958298582152e-05, + "loss": 0.8566, + "step": 2523 + }, + { + "epoch": 2.44, + "grad_norm": 1.0807020664215088, + "learning_rate": 1.4495412844036698e-05, + "loss": 0.8388, + "step": 2524 + }, + { + "epoch": 2.44, + "grad_norm": 1.0742005109786987, + "learning_rate": 1.4491242702251878e-05, + "loss": 0.8728, + "step": 2525 + }, + { + "epoch": 2.44, + "grad_norm": 1.1198116540908813, + "learning_rate": 1.4487072560467058e-05, + "loss": 0.9056, + "step": 2526 + }, + { + "epoch": 2.45, + "grad_norm": 1.1847115755081177, + "learning_rate": 1.4482902418682237e-05, + "loss": 0.7008, + "step": 2527 + }, + { + "epoch": 2.45, + "grad_norm": 1.157792568206787, + "learning_rate": 1.4478732276897417e-05, + "loss": 0.5927, + "step": 2528 + }, + { + "epoch": 2.45, + "grad_norm": 1.221024751663208, + "learning_rate": 1.4474562135112593e-05, + "loss": 0.7946, + "step": 2529 + }, + { + "epoch": 2.45, + "grad_norm": 1.006848692893982, + "learning_rate": 1.4470391993327773e-05, + "loss": 0.8902, + "step": 2530 + }, + { + "epoch": 2.45, + "grad_norm": 1.2811963558197021, + "learning_rate": 1.4466221851542952e-05, + "loss": 0.8325, + "step": 2531 + }, + { + "epoch": 2.45, + "grad_norm": 0.953895092010498, + "learning_rate": 1.4462051709758132e-05, + "loss": 0.7353, + "step": 2532 + }, + { + "epoch": 2.45, + "grad_norm": 1.0949562788009644, + "learning_rate": 1.445788156797331e-05, + "loss": 0.8057, + "step": 2533 + }, + { + "epoch": 2.45, + "grad_norm": 0.8655239939689636, + "learning_rate": 1.445371142618849e-05, + "loss": 0.6966, + "step": 2534 + }, + { + "epoch": 2.45, + "grad_norm": 0.8777194619178772, + "learning_rate": 1.444954128440367e-05, + "loss": 0.7219, + "step": 2535 + }, + { + "epoch": 2.45, + "grad_norm": 0.9540335536003113, + "learning_rate": 1.4445371142618849e-05, + "loss": 0.7734, + "step": 2536 + }, + { + "epoch": 2.45, + "grad_norm": 1.0933865308761597, + "learning_rate": 1.4441201000834029e-05, + "loss": 0.807, + "step": 2537 + }, + { + "epoch": 2.46, + "grad_norm": 0.819931149482727, + "learning_rate": 1.4437030859049209e-05, + "loss": 0.7805, + "step": 2538 + }, + { + "epoch": 2.46, + "grad_norm": 1.250663161277771, + "learning_rate": 1.4432860717264387e-05, + "loss": 0.9293, + "step": 2539 + }, + { + "epoch": 2.46, + "grad_norm": 1.1598678827285767, + "learning_rate": 1.4428690575479567e-05, + "loss": 0.6499, + "step": 2540 + }, + { + "epoch": 2.46, + "grad_norm": 0.9524194002151489, + "learning_rate": 1.4424520433694747e-05, + "loss": 0.6839, + "step": 2541 + }, + { + "epoch": 2.46, + "grad_norm": 1.1332494020462036, + "learning_rate": 1.4420350291909925e-05, + "loss": 0.7701, + "step": 2542 + }, + { + "epoch": 2.46, + "grad_norm": 1.0138325691223145, + "learning_rate": 1.4416180150125105e-05, + "loss": 0.9691, + "step": 2543 + }, + { + "epoch": 2.46, + "grad_norm": 1.0951149463653564, + "learning_rate": 1.4412010008340285e-05, + "loss": 0.6148, + "step": 2544 + }, + { + "epoch": 2.46, + "grad_norm": 0.8606773018836975, + "learning_rate": 1.4407839866555464e-05, + "loss": 0.7897, + "step": 2545 + }, + { + "epoch": 2.46, + "grad_norm": 1.4362386465072632, + "learning_rate": 1.4403669724770644e-05, + "loss": 0.7008, + "step": 2546 + }, + { + "epoch": 2.46, + "grad_norm": 1.4496384859085083, + "learning_rate": 1.4399499582985824e-05, + "loss": 0.7377, + "step": 2547 + }, + { + "epoch": 2.47, + "grad_norm": 0.8644654154777527, + "learning_rate": 1.4395329441201002e-05, + "loss": 0.7793, + "step": 2548 + }, + { + "epoch": 2.47, + "grad_norm": 1.1303930282592773, + "learning_rate": 1.4391159299416182e-05, + "loss": 0.6969, + "step": 2549 + }, + { + "epoch": 2.47, + "grad_norm": 0.9442719221115112, + "learning_rate": 1.4386989157631362e-05, + "loss": 0.7975, + "step": 2550 + }, + { + "epoch": 2.47, + "grad_norm": 1.1275825500488281, + "learning_rate": 1.4382819015846539e-05, + "loss": 0.88, + "step": 2551 + }, + { + "epoch": 2.47, + "grad_norm": 1.2017098665237427, + "learning_rate": 1.4378648874061717e-05, + "loss": 0.7785, + "step": 2552 + }, + { + "epoch": 2.47, + "grad_norm": 1.1166859865188599, + "learning_rate": 1.4374478732276897e-05, + "loss": 0.8373, + "step": 2553 + }, + { + "epoch": 2.47, + "grad_norm": 0.9713648557662964, + "learning_rate": 1.4370308590492076e-05, + "loss": 0.8423, + "step": 2554 + }, + { + "epoch": 2.47, + "grad_norm": 1.3213701248168945, + "learning_rate": 1.4366138448707256e-05, + "loss": 0.7804, + "step": 2555 + }, + { + "epoch": 2.47, + "grad_norm": 1.0310323238372803, + "learning_rate": 1.4361968306922436e-05, + "loss": 0.7001, + "step": 2556 + }, + { + "epoch": 2.47, + "grad_norm": 0.8064036965370178, + "learning_rate": 1.4357798165137614e-05, + "loss": 0.786, + "step": 2557 + }, + { + "epoch": 2.48, + "grad_norm": 0.9683186411857605, + "learning_rate": 1.4353628023352794e-05, + "loss": 0.7129, + "step": 2558 + }, + { + "epoch": 2.48, + "grad_norm": 1.2475330829620361, + "learning_rate": 1.4349457881567974e-05, + "loss": 0.8306, + "step": 2559 + }, + { + "epoch": 2.48, + "grad_norm": 0.8951677083969116, + "learning_rate": 1.4345287739783152e-05, + "loss": 0.9083, + "step": 2560 + }, + { + "epoch": 2.48, + "grad_norm": 1.5455464124679565, + "learning_rate": 1.4341117597998333e-05, + "loss": 0.7994, + "step": 2561 + }, + { + "epoch": 2.48, + "grad_norm": 1.1083627939224243, + "learning_rate": 1.4336947456213513e-05, + "loss": 0.7878, + "step": 2562 + }, + { + "epoch": 2.48, + "grad_norm": 1.0581649541854858, + "learning_rate": 1.4332777314428691e-05, + "loss": 0.7882, + "step": 2563 + }, + { + "epoch": 2.48, + "grad_norm": 0.8193249702453613, + "learning_rate": 1.4328607172643871e-05, + "loss": 0.9116, + "step": 2564 + }, + { + "epoch": 2.48, + "grad_norm": 0.9290634393692017, + "learning_rate": 1.4324437030859051e-05, + "loss": 0.7942, + "step": 2565 + }, + { + "epoch": 2.48, + "grad_norm": 0.97933429479599, + "learning_rate": 1.432026688907423e-05, + "loss": 0.8734, + "step": 2566 + }, + { + "epoch": 2.48, + "grad_norm": 0.9418026804924011, + "learning_rate": 1.431609674728941e-05, + "loss": 0.7768, + "step": 2567 + }, + { + "epoch": 2.48, + "grad_norm": 0.8966636657714844, + "learning_rate": 1.431192660550459e-05, + "loss": 0.8802, + "step": 2568 + }, + { + "epoch": 2.49, + "grad_norm": 0.8728999495506287, + "learning_rate": 1.4307756463719768e-05, + "loss": 0.6772, + "step": 2569 + }, + { + "epoch": 2.49, + "grad_norm": 1.0376543998718262, + "learning_rate": 1.4303586321934948e-05, + "loss": 0.7809, + "step": 2570 + }, + { + "epoch": 2.49, + "grad_norm": 0.8593918085098267, + "learning_rate": 1.4299416180150128e-05, + "loss": 0.6747, + "step": 2571 + }, + { + "epoch": 2.49, + "grad_norm": 0.9647976160049438, + "learning_rate": 1.4295246038365306e-05, + "loss": 0.7576, + "step": 2572 + }, + { + "epoch": 2.49, + "grad_norm": 1.0162967443466187, + "learning_rate": 1.4291075896580483e-05, + "loss": 0.6361, + "step": 2573 + }, + { + "epoch": 2.49, + "grad_norm": 1.4539016485214233, + "learning_rate": 1.4286905754795663e-05, + "loss": 0.7469, + "step": 2574 + }, + { + "epoch": 2.49, + "grad_norm": 1.3549777269363403, + "learning_rate": 1.4282735613010841e-05, + "loss": 0.7874, + "step": 2575 + }, + { + "epoch": 2.49, + "grad_norm": 1.0791264772415161, + "learning_rate": 1.4278565471226021e-05, + "loss": 0.7227, + "step": 2576 + }, + { + "epoch": 2.49, + "grad_norm": 1.0372146368026733, + "learning_rate": 1.4274395329441201e-05, + "loss": 0.8034, + "step": 2577 + }, + { + "epoch": 2.49, + "grad_norm": 0.9742259383201599, + "learning_rate": 1.427022518765638e-05, + "loss": 0.7518, + "step": 2578 + }, + { + "epoch": 2.5, + "grad_norm": 1.1606855392456055, + "learning_rate": 1.426605504587156e-05, + "loss": 0.841, + "step": 2579 + }, + { + "epoch": 2.5, + "grad_norm": 1.0835055112838745, + "learning_rate": 1.426188490408674e-05, + "loss": 0.7965, + "step": 2580 + }, + { + "epoch": 2.5, + "grad_norm": 1.0935578346252441, + "learning_rate": 1.4257714762301918e-05, + "loss": 0.7653, + "step": 2581 + }, + { + "epoch": 2.5, + "grad_norm": 0.9066020250320435, + "learning_rate": 1.4253544620517098e-05, + "loss": 0.7436, + "step": 2582 + }, + { + "epoch": 2.5, + "grad_norm": 1.295595645904541, + "learning_rate": 1.4249374478732278e-05, + "loss": 0.7389, + "step": 2583 + }, + { + "epoch": 2.5, + "grad_norm": 1.0106202363967896, + "learning_rate": 1.4245204336947456e-05, + "loss": 0.9348, + "step": 2584 + }, + { + "epoch": 2.5, + "grad_norm": 0.9044962525367737, + "learning_rate": 1.4241034195162636e-05, + "loss": 0.7366, + "step": 2585 + }, + { + "epoch": 2.5, + "grad_norm": 0.9651325941085815, + "learning_rate": 1.4236864053377816e-05, + "loss": 0.8026, + "step": 2586 + }, + { + "epoch": 2.5, + "grad_norm": 1.2283308506011963, + "learning_rate": 1.4232693911592995e-05, + "loss": 0.7739, + "step": 2587 + }, + { + "epoch": 2.5, + "grad_norm": 1.037750244140625, + "learning_rate": 1.4228523769808175e-05, + "loss": 0.7633, + "step": 2588 + }, + { + "epoch": 2.51, + "grad_norm": 0.9281195402145386, + "learning_rate": 1.4224353628023355e-05, + "loss": 0.6646, + "step": 2589 + }, + { + "epoch": 2.51, + "grad_norm": 1.2121988534927368, + "learning_rate": 1.4220183486238533e-05, + "loss": 0.9697, + "step": 2590 + }, + { + "epoch": 2.51, + "grad_norm": 1.1675235033035278, + "learning_rate": 1.4216013344453713e-05, + "loss": 0.8318, + "step": 2591 + }, + { + "epoch": 2.51, + "grad_norm": 1.1003934144973755, + "learning_rate": 1.4211843202668893e-05, + "loss": 0.8861, + "step": 2592 + }, + { + "epoch": 2.51, + "grad_norm": 1.4687182903289795, + "learning_rate": 1.4207673060884072e-05, + "loss": 0.8852, + "step": 2593 + }, + { + "epoch": 2.51, + "grad_norm": 0.9296116232872009, + "learning_rate": 1.4203502919099252e-05, + "loss": 0.6672, + "step": 2594 + }, + { + "epoch": 2.51, + "grad_norm": 1.0146183967590332, + "learning_rate": 1.4199332777314428e-05, + "loss": 0.6742, + "step": 2595 + }, + { + "epoch": 2.51, + "grad_norm": 1.0092291831970215, + "learning_rate": 1.4195162635529607e-05, + "loss": 0.7981, + "step": 2596 + }, + { + "epoch": 2.51, + "grad_norm": 1.0912678241729736, + "learning_rate": 1.4190992493744787e-05, + "loss": 0.8304, + "step": 2597 + }, + { + "epoch": 2.51, + "grad_norm": 0.8944520950317383, + "learning_rate": 1.4186822351959967e-05, + "loss": 0.7218, + "step": 2598 + }, + { + "epoch": 2.51, + "grad_norm": 1.1679719686508179, + "learning_rate": 1.4182652210175145e-05, + "loss": 0.6796, + "step": 2599 + }, + { + "epoch": 2.52, + "grad_norm": 1.3065361976623535, + "learning_rate": 1.4178482068390325e-05, + "loss": 0.9171, + "step": 2600 + }, + { + "epoch": 2.52, + "grad_norm": 0.9443861842155457, + "learning_rate": 1.4174311926605505e-05, + "loss": 0.7217, + "step": 2601 + }, + { + "epoch": 2.52, + "grad_norm": 1.0123872756958008, + "learning_rate": 1.4170141784820683e-05, + "loss": 0.8008, + "step": 2602 + }, + { + "epoch": 2.52, + "grad_norm": 1.112004280090332, + "learning_rate": 1.4165971643035864e-05, + "loss": 0.669, + "step": 2603 + }, + { + "epoch": 2.52, + "grad_norm": 1.0013320446014404, + "learning_rate": 1.4161801501251044e-05, + "loss": 0.7484, + "step": 2604 + }, + { + "epoch": 2.52, + "grad_norm": 0.9473990201950073, + "learning_rate": 1.4157631359466222e-05, + "loss": 0.7053, + "step": 2605 + }, + { + "epoch": 2.52, + "grad_norm": 0.9858823418617249, + "learning_rate": 1.4153461217681402e-05, + "loss": 0.8153, + "step": 2606 + }, + { + "epoch": 2.52, + "grad_norm": 1.0970127582550049, + "learning_rate": 1.4149291075896582e-05, + "loss": 0.8514, + "step": 2607 + }, + { + "epoch": 2.52, + "grad_norm": 0.9952388405799866, + "learning_rate": 1.414512093411176e-05, + "loss": 0.7124, + "step": 2608 + }, + { + "epoch": 2.52, + "grad_norm": 1.1560695171356201, + "learning_rate": 1.414095079232694e-05, + "loss": 0.7427, + "step": 2609 + }, + { + "epoch": 2.53, + "grad_norm": 1.0957051515579224, + "learning_rate": 1.413678065054212e-05, + "loss": 0.751, + "step": 2610 + }, + { + "epoch": 2.53, + "grad_norm": 0.9935758113861084, + "learning_rate": 1.4132610508757299e-05, + "loss": 0.8479, + "step": 2611 + }, + { + "epoch": 2.53, + "grad_norm": 1.1163305044174194, + "learning_rate": 1.4128440366972479e-05, + "loss": 0.906, + "step": 2612 + }, + { + "epoch": 2.53, + "grad_norm": 1.2252249717712402, + "learning_rate": 1.4124270225187659e-05, + "loss": 0.8216, + "step": 2613 + }, + { + "epoch": 2.53, + "grad_norm": 0.791217565536499, + "learning_rate": 1.4120100083402837e-05, + "loss": 0.6403, + "step": 2614 + }, + { + "epoch": 2.53, + "grad_norm": 0.9439594745635986, + "learning_rate": 1.4115929941618017e-05, + "loss": 0.7119, + "step": 2615 + }, + { + "epoch": 2.53, + "grad_norm": 1.229280948638916, + "learning_rate": 1.4111759799833196e-05, + "loss": 0.9555, + "step": 2616 + }, + { + "epoch": 2.53, + "grad_norm": 1.3358961343765259, + "learning_rate": 1.4107589658048372e-05, + "loss": 0.8236, + "step": 2617 + }, + { + "epoch": 2.53, + "grad_norm": 0.9485481381416321, + "learning_rate": 1.4103419516263552e-05, + "loss": 0.7929, + "step": 2618 + }, + { + "epoch": 2.53, + "grad_norm": 1.1040618419647217, + "learning_rate": 1.4099249374478732e-05, + "loss": 0.7268, + "step": 2619 + }, + { + "epoch": 2.54, + "grad_norm": 1.2320963144302368, + "learning_rate": 1.409507923269391e-05, + "loss": 0.7377, + "step": 2620 + }, + { + "epoch": 2.54, + "grad_norm": 1.2593876123428345, + "learning_rate": 1.409090909090909e-05, + "loss": 0.8515, + "step": 2621 + }, + { + "epoch": 2.54, + "grad_norm": 1.2000503540039062, + "learning_rate": 1.408673894912427e-05, + "loss": 0.7831, + "step": 2622 + }, + { + "epoch": 2.54, + "grad_norm": 0.9449014663696289, + "learning_rate": 1.4082568807339449e-05, + "loss": 0.817, + "step": 2623 + }, + { + "epoch": 2.54, + "grad_norm": 0.9126531481742859, + "learning_rate": 1.4078398665554629e-05, + "loss": 0.6609, + "step": 2624 + }, + { + "epoch": 2.54, + "grad_norm": 0.8936189413070679, + "learning_rate": 1.4074228523769809e-05, + "loss": 0.782, + "step": 2625 + }, + { + "epoch": 2.54, + "grad_norm": 0.8147525191307068, + "learning_rate": 1.4070058381984987e-05, + "loss": 0.6977, + "step": 2626 + }, + { + "epoch": 2.54, + "grad_norm": 1.0598169565200806, + "learning_rate": 1.4065888240200167e-05, + "loss": 0.65, + "step": 2627 + }, + { + "epoch": 2.54, + "grad_norm": 1.3543504476547241, + "learning_rate": 1.4061718098415347e-05, + "loss": 0.6772, + "step": 2628 + }, + { + "epoch": 2.54, + "grad_norm": 0.9817633628845215, + "learning_rate": 1.4057547956630526e-05, + "loss": 0.777, + "step": 2629 + }, + { + "epoch": 2.54, + "grad_norm": 1.0404950380325317, + "learning_rate": 1.4053377814845706e-05, + "loss": 0.9096, + "step": 2630 + }, + { + "epoch": 2.55, + "grad_norm": 0.9830188751220703, + "learning_rate": 1.4049207673060886e-05, + "loss": 1.0591, + "step": 2631 + }, + { + "epoch": 2.55, + "grad_norm": 1.014349102973938, + "learning_rate": 1.4045037531276064e-05, + "loss": 0.7971, + "step": 2632 + }, + { + "epoch": 2.55, + "grad_norm": 1.155218243598938, + "learning_rate": 1.4040867389491244e-05, + "loss": 0.8949, + "step": 2633 + }, + { + "epoch": 2.55, + "grad_norm": 1.0858873128890991, + "learning_rate": 1.4036697247706424e-05, + "loss": 0.6977, + "step": 2634 + }, + { + "epoch": 2.55, + "grad_norm": 1.1969245672225952, + "learning_rate": 1.4032527105921603e-05, + "loss": 0.8913, + "step": 2635 + }, + { + "epoch": 2.55, + "grad_norm": 1.3881914615631104, + "learning_rate": 1.4028356964136783e-05, + "loss": 0.7361, + "step": 2636 + }, + { + "epoch": 2.55, + "grad_norm": 1.4038587808609009, + "learning_rate": 1.4024186822351961e-05, + "loss": 0.8267, + "step": 2637 + }, + { + "epoch": 2.55, + "grad_norm": 1.3574846982955933, + "learning_rate": 1.4020016680567141e-05, + "loss": 0.6169, + "step": 2638 + }, + { + "epoch": 2.55, + "grad_norm": 1.4002758264541626, + "learning_rate": 1.4015846538782318e-05, + "loss": 0.8539, + "step": 2639 + }, + { + "epoch": 2.55, + "grad_norm": 0.8154807090759277, + "learning_rate": 1.4011676396997498e-05, + "loss": 0.7594, + "step": 2640 + }, + { + "epoch": 2.56, + "grad_norm": 1.3184679746627808, + "learning_rate": 1.4007506255212676e-05, + "loss": 0.7156, + "step": 2641 + }, + { + "epoch": 2.56, + "grad_norm": 0.9337924122810364, + "learning_rate": 1.4003336113427856e-05, + "loss": 0.7538, + "step": 2642 + }, + { + "epoch": 2.56, + "grad_norm": 1.0969789028167725, + "learning_rate": 1.3999165971643036e-05, + "loss": 0.8036, + "step": 2643 + }, + { + "epoch": 2.56, + "grad_norm": 0.932239294052124, + "learning_rate": 1.3994995829858214e-05, + "loss": 0.7193, + "step": 2644 + }, + { + "epoch": 2.56, + "grad_norm": 1.127896785736084, + "learning_rate": 1.3990825688073395e-05, + "loss": 0.764, + "step": 2645 + }, + { + "epoch": 2.56, + "grad_norm": 1.1945098638534546, + "learning_rate": 1.3986655546288575e-05, + "loss": 0.6615, + "step": 2646 + }, + { + "epoch": 2.56, + "grad_norm": 0.936953604221344, + "learning_rate": 1.3982485404503753e-05, + "loss": 0.7535, + "step": 2647 + }, + { + "epoch": 2.56, + "grad_norm": 1.2113966941833496, + "learning_rate": 1.3978315262718933e-05, + "loss": 0.6408, + "step": 2648 + }, + { + "epoch": 2.56, + "grad_norm": 1.1189544200897217, + "learning_rate": 1.3974145120934113e-05, + "loss": 0.7867, + "step": 2649 + }, + { + "epoch": 2.56, + "grad_norm": 1.0595225095748901, + "learning_rate": 1.3969974979149291e-05, + "loss": 0.8204, + "step": 2650 + }, + { + "epoch": 2.57, + "grad_norm": 0.9291266202926636, + "learning_rate": 1.3965804837364471e-05, + "loss": 0.7273, + "step": 2651 + }, + { + "epoch": 2.57, + "grad_norm": 1.1749967336654663, + "learning_rate": 1.3961634695579651e-05, + "loss": 0.7532, + "step": 2652 + }, + { + "epoch": 2.57, + "grad_norm": 1.2432372570037842, + "learning_rate": 1.395746455379483e-05, + "loss": 0.7096, + "step": 2653 + }, + { + "epoch": 2.57, + "grad_norm": 1.042360782623291, + "learning_rate": 1.395329441201001e-05, + "loss": 0.668, + "step": 2654 + }, + { + "epoch": 2.57, + "grad_norm": 0.8185127973556519, + "learning_rate": 1.394912427022519e-05, + "loss": 0.6053, + "step": 2655 + }, + { + "epoch": 2.57, + "grad_norm": 0.9806098341941833, + "learning_rate": 1.3944954128440368e-05, + "loss": 0.678, + "step": 2656 + }, + { + "epoch": 2.57, + "grad_norm": 1.2399818897247314, + "learning_rate": 1.3940783986655548e-05, + "loss": 0.8667, + "step": 2657 + }, + { + "epoch": 2.57, + "grad_norm": 1.2020037174224854, + "learning_rate": 1.3936613844870727e-05, + "loss": 0.9202, + "step": 2658 + }, + { + "epoch": 2.57, + "grad_norm": 0.9134686589241028, + "learning_rate": 1.3932443703085907e-05, + "loss": 0.7586, + "step": 2659 + }, + { + "epoch": 2.57, + "grad_norm": 0.8156089186668396, + "learning_rate": 1.3928273561301087e-05, + "loss": 0.7331, + "step": 2660 + }, + { + "epoch": 2.57, + "grad_norm": 0.8973681926727295, + "learning_rate": 1.3924103419516263e-05, + "loss": 0.6861, + "step": 2661 + }, + { + "epoch": 2.58, + "grad_norm": 0.889556884765625, + "learning_rate": 1.3919933277731442e-05, + "loss": 0.6283, + "step": 2662 + }, + { + "epoch": 2.58, + "grad_norm": 0.8274814486503601, + "learning_rate": 1.3915763135946622e-05, + "loss": 0.6723, + "step": 2663 + }, + { + "epoch": 2.58, + "grad_norm": 1.1795810461044312, + "learning_rate": 1.3911592994161802e-05, + "loss": 0.8227, + "step": 2664 + }, + { + "epoch": 2.58, + "grad_norm": 0.9064698219299316, + "learning_rate": 1.390742285237698e-05, + "loss": 0.6354, + "step": 2665 + }, + { + "epoch": 2.58, + "grad_norm": 1.082688570022583, + "learning_rate": 1.390325271059216e-05, + "loss": 0.7035, + "step": 2666 + }, + { + "epoch": 2.58, + "grad_norm": 0.9872046113014221, + "learning_rate": 1.389908256880734e-05, + "loss": 0.7491, + "step": 2667 + }, + { + "epoch": 2.58, + "grad_norm": 1.048280119895935, + "learning_rate": 1.3894912427022518e-05, + "loss": 0.776, + "step": 2668 + }, + { + "epoch": 2.58, + "grad_norm": 1.100868821144104, + "learning_rate": 1.3890742285237698e-05, + "loss": 0.8709, + "step": 2669 + }, + { + "epoch": 2.58, + "grad_norm": 0.8894733190536499, + "learning_rate": 1.3886572143452878e-05, + "loss": 0.7724, + "step": 2670 + }, + { + "epoch": 2.58, + "grad_norm": 1.3740763664245605, + "learning_rate": 1.3882402001668057e-05, + "loss": 0.8537, + "step": 2671 + }, + { + "epoch": 2.59, + "grad_norm": 0.9844098091125488, + "learning_rate": 1.3878231859883237e-05, + "loss": 0.7304, + "step": 2672 + }, + { + "epoch": 2.59, + "grad_norm": 0.996069610118866, + "learning_rate": 1.3874061718098417e-05, + "loss": 0.8016, + "step": 2673 + }, + { + "epoch": 2.59, + "grad_norm": 1.0128428936004639, + "learning_rate": 1.3869891576313595e-05, + "loss": 0.8172, + "step": 2674 + }, + { + "epoch": 2.59, + "grad_norm": 1.2103368043899536, + "learning_rate": 1.3865721434528775e-05, + "loss": 0.7263, + "step": 2675 + }, + { + "epoch": 2.59, + "grad_norm": 1.1013379096984863, + "learning_rate": 1.3861551292743955e-05, + "loss": 0.6276, + "step": 2676 + }, + { + "epoch": 2.59, + "grad_norm": 0.9357643723487854, + "learning_rate": 1.3857381150959134e-05, + "loss": 0.7524, + "step": 2677 + }, + { + "epoch": 2.59, + "grad_norm": 0.9114884734153748, + "learning_rate": 1.3853211009174314e-05, + "loss": 0.7056, + "step": 2678 + }, + { + "epoch": 2.59, + "grad_norm": 1.0017335414886475, + "learning_rate": 1.3849040867389492e-05, + "loss": 0.8432, + "step": 2679 + }, + { + "epoch": 2.59, + "grad_norm": 1.1631971597671509, + "learning_rate": 1.3844870725604672e-05, + "loss": 0.7989, + "step": 2680 + }, + { + "epoch": 2.59, + "grad_norm": 0.8637514710426331, + "learning_rate": 1.3840700583819852e-05, + "loss": 0.7112, + "step": 2681 + }, + { + "epoch": 2.6, + "grad_norm": 1.1342887878417969, + "learning_rate": 1.383653044203503e-05, + "loss": 0.7512, + "step": 2682 + }, + { + "epoch": 2.6, + "grad_norm": 1.108515977859497, + "learning_rate": 1.3832360300250207e-05, + "loss": 0.8629, + "step": 2683 + }, + { + "epoch": 2.6, + "grad_norm": 1.5819300413131714, + "learning_rate": 1.3828190158465387e-05, + "loss": 1.0985, + "step": 2684 + }, + { + "epoch": 2.6, + "grad_norm": 1.041479229927063, + "learning_rate": 1.3824020016680567e-05, + "loss": 0.8508, + "step": 2685 + }, + { + "epoch": 2.6, + "grad_norm": 0.9245500564575195, + "learning_rate": 1.3819849874895745e-05, + "loss": 0.7194, + "step": 2686 + }, + { + "epoch": 2.6, + "grad_norm": 0.8786556720733643, + "learning_rate": 1.3815679733110926e-05, + "loss": 0.742, + "step": 2687 + }, + { + "epoch": 2.6, + "grad_norm": 1.059230089187622, + "learning_rate": 1.3811509591326106e-05, + "loss": 0.8567, + "step": 2688 + }, + { + "epoch": 2.6, + "grad_norm": 1.0513631105422974, + "learning_rate": 1.3807339449541284e-05, + "loss": 0.715, + "step": 2689 + }, + { + "epoch": 2.6, + "grad_norm": 1.1062144041061401, + "learning_rate": 1.3803169307756464e-05, + "loss": 0.8016, + "step": 2690 + }, + { + "epoch": 2.6, + "grad_norm": 1.0738236904144287, + "learning_rate": 1.3798999165971644e-05, + "loss": 0.742, + "step": 2691 + }, + { + "epoch": 2.6, + "grad_norm": 0.9493381977081299, + "learning_rate": 1.3794829024186822e-05, + "loss": 0.723, + "step": 2692 + }, + { + "epoch": 2.61, + "grad_norm": 1.120315670967102, + "learning_rate": 1.3790658882402002e-05, + "loss": 0.84, + "step": 2693 + }, + { + "epoch": 2.61, + "grad_norm": 1.024749755859375, + "learning_rate": 1.3786488740617182e-05, + "loss": 0.7796, + "step": 2694 + }, + { + "epoch": 2.61, + "grad_norm": 0.9755638241767883, + "learning_rate": 1.378231859883236e-05, + "loss": 0.8114, + "step": 2695 + }, + { + "epoch": 2.61, + "grad_norm": 0.9369971752166748, + "learning_rate": 1.377814845704754e-05, + "loss": 0.7869, + "step": 2696 + }, + { + "epoch": 2.61, + "grad_norm": 0.9100282192230225, + "learning_rate": 1.377397831526272e-05, + "loss": 0.7728, + "step": 2697 + }, + { + "epoch": 2.61, + "grad_norm": 0.9489539861679077, + "learning_rate": 1.3769808173477899e-05, + "loss": 0.7325, + "step": 2698 + }, + { + "epoch": 2.61, + "grad_norm": 0.9641897082328796, + "learning_rate": 1.376563803169308e-05, + "loss": 0.8064, + "step": 2699 + }, + { + "epoch": 2.61, + "grad_norm": 1.086300253868103, + "learning_rate": 1.3761467889908258e-05, + "loss": 1.031, + "step": 2700 + }, + { + "epoch": 2.61, + "eval_loss": 0.854421079158783, + "eval_runtime": 863.6146, + "eval_samples_per_second": 4.787, + "eval_steps_per_second": 0.599, + "step": 2700 + }, + { + "epoch": 2.61, + "grad_norm": 1.0375274419784546, + "learning_rate": 1.3757297748123438e-05, + "loss": 0.8189, + "step": 2701 + }, + { + "epoch": 2.61, + "grad_norm": 0.9859010577201843, + "learning_rate": 1.3753127606338618e-05, + "loss": 0.6884, + "step": 2702 + }, + { + "epoch": 2.62, + "grad_norm": 1.1080214977264404, + "learning_rate": 1.3748957464553796e-05, + "loss": 0.8425, + "step": 2703 + }, + { + "epoch": 2.62, + "grad_norm": 1.110974669456482, + "learning_rate": 1.3744787322768976e-05, + "loss": 0.6392, + "step": 2704 + }, + { + "epoch": 2.62, + "grad_norm": 1.3973109722137451, + "learning_rate": 1.3740617180984153e-05, + "loss": 0.7862, + "step": 2705 + }, + { + "epoch": 2.62, + "grad_norm": 0.8986552357673645, + "learning_rate": 1.3736447039199333e-05, + "loss": 0.7476, + "step": 2706 + }, + { + "epoch": 2.62, + "grad_norm": 1.1940064430236816, + "learning_rate": 1.3732276897414511e-05, + "loss": 0.7933, + "step": 2707 + }, + { + "epoch": 2.62, + "grad_norm": 1.1503639221191406, + "learning_rate": 1.3728106755629691e-05, + "loss": 0.6823, + "step": 2708 + }, + { + "epoch": 2.62, + "grad_norm": 0.9913555383682251, + "learning_rate": 1.3723936613844871e-05, + "loss": 0.7421, + "step": 2709 + }, + { + "epoch": 2.62, + "grad_norm": 0.9816269874572754, + "learning_rate": 1.371976647206005e-05, + "loss": 0.6794, + "step": 2710 + }, + { + "epoch": 2.62, + "grad_norm": 1.190651297569275, + "learning_rate": 1.371559633027523e-05, + "loss": 0.7406, + "step": 2711 + }, + { + "epoch": 2.62, + "grad_norm": 0.9302822947502136, + "learning_rate": 1.371142618849041e-05, + "loss": 0.6705, + "step": 2712 + }, + { + "epoch": 2.63, + "grad_norm": 1.2408642768859863, + "learning_rate": 1.3707256046705588e-05, + "loss": 0.7889, + "step": 2713 + }, + { + "epoch": 2.63, + "grad_norm": 0.8606017231941223, + "learning_rate": 1.3703085904920768e-05, + "loss": 0.6968, + "step": 2714 + }, + { + "epoch": 2.63, + "grad_norm": 1.026265025138855, + "learning_rate": 1.3698915763135948e-05, + "loss": 0.6716, + "step": 2715 + }, + { + "epoch": 2.63, + "grad_norm": 0.9457809329032898, + "learning_rate": 1.3694745621351126e-05, + "loss": 0.5781, + "step": 2716 + }, + { + "epoch": 2.63, + "grad_norm": 1.1930218935012817, + "learning_rate": 1.3690575479566306e-05, + "loss": 0.9214, + "step": 2717 + }, + { + "epoch": 2.63, + "grad_norm": 1.078721284866333, + "learning_rate": 1.3686405337781486e-05, + "loss": 0.7593, + "step": 2718 + }, + { + "epoch": 2.63, + "grad_norm": 0.9350561499595642, + "learning_rate": 1.3682235195996665e-05, + "loss": 0.766, + "step": 2719 + }, + { + "epoch": 2.63, + "grad_norm": 1.201558232307434, + "learning_rate": 1.3678065054211845e-05, + "loss": 0.9023, + "step": 2720 + }, + { + "epoch": 2.63, + "grad_norm": 1.0798369646072388, + "learning_rate": 1.3673894912427023e-05, + "loss": 0.7744, + "step": 2721 + }, + { + "epoch": 2.63, + "grad_norm": 1.1351127624511719, + "learning_rate": 1.3669724770642203e-05, + "loss": 0.6424, + "step": 2722 + }, + { + "epoch": 2.63, + "grad_norm": 1.1295819282531738, + "learning_rate": 1.3665554628857383e-05, + "loss": 0.7419, + "step": 2723 + }, + { + "epoch": 2.64, + "grad_norm": 1.2108182907104492, + "learning_rate": 1.3661384487072561e-05, + "loss": 0.9039, + "step": 2724 + }, + { + "epoch": 2.64, + "grad_norm": 1.1128201484680176, + "learning_rate": 1.3657214345287741e-05, + "loss": 0.8355, + "step": 2725 + }, + { + "epoch": 2.64, + "grad_norm": 1.1354974508285522, + "learning_rate": 1.3653044203502921e-05, + "loss": 0.7759, + "step": 2726 + }, + { + "epoch": 2.64, + "grad_norm": 1.0257022380828857, + "learning_rate": 1.3648874061718098e-05, + "loss": 0.7873, + "step": 2727 + }, + { + "epoch": 2.64, + "grad_norm": 1.0419723987579346, + "learning_rate": 1.3644703919933276e-05, + "loss": 0.7662, + "step": 2728 + }, + { + "epoch": 2.64, + "grad_norm": 1.1309138536453247, + "learning_rate": 1.3640533778148457e-05, + "loss": 0.8968, + "step": 2729 + }, + { + "epoch": 2.64, + "grad_norm": 0.9486336708068848, + "learning_rate": 1.3636363636363637e-05, + "loss": 0.7035, + "step": 2730 + }, + { + "epoch": 2.64, + "grad_norm": 1.1950511932373047, + "learning_rate": 1.3632193494578815e-05, + "loss": 1.0578, + "step": 2731 + }, + { + "epoch": 2.64, + "grad_norm": 1.2067890167236328, + "learning_rate": 1.3628023352793995e-05, + "loss": 0.7763, + "step": 2732 + }, + { + "epoch": 2.64, + "grad_norm": 0.8668621182441711, + "learning_rate": 1.3623853211009175e-05, + "loss": 0.7462, + "step": 2733 + }, + { + "epoch": 2.65, + "grad_norm": 0.9674301147460938, + "learning_rate": 1.3619683069224353e-05, + "loss": 0.765, + "step": 2734 + }, + { + "epoch": 2.65, + "grad_norm": 1.093414068222046, + "learning_rate": 1.3615512927439533e-05, + "loss": 0.6658, + "step": 2735 + }, + { + "epoch": 2.65, + "grad_norm": 1.144622802734375, + "learning_rate": 1.3611342785654713e-05, + "loss": 0.6642, + "step": 2736 + }, + { + "epoch": 2.65, + "grad_norm": 0.8601104617118835, + "learning_rate": 1.3607172643869892e-05, + "loss": 0.6602, + "step": 2737 + }, + { + "epoch": 2.65, + "grad_norm": 1.188286304473877, + "learning_rate": 1.3603002502085072e-05, + "loss": 0.6093, + "step": 2738 + }, + { + "epoch": 2.65, + "grad_norm": 1.1645246744155884, + "learning_rate": 1.3598832360300252e-05, + "loss": 0.8951, + "step": 2739 + }, + { + "epoch": 2.65, + "grad_norm": 1.206185221672058, + "learning_rate": 1.359466221851543e-05, + "loss": 0.812, + "step": 2740 + }, + { + "epoch": 2.65, + "grad_norm": 1.0061426162719727, + "learning_rate": 1.359049207673061e-05, + "loss": 0.8314, + "step": 2741 + }, + { + "epoch": 2.65, + "grad_norm": 1.2653210163116455, + "learning_rate": 1.3586321934945789e-05, + "loss": 0.8511, + "step": 2742 + }, + { + "epoch": 2.65, + "grad_norm": 1.2268331050872803, + "learning_rate": 1.3582151793160969e-05, + "loss": 0.7375, + "step": 2743 + }, + { + "epoch": 2.66, + "grad_norm": 0.8462063670158386, + "learning_rate": 1.3577981651376149e-05, + "loss": 0.7584, + "step": 2744 + }, + { + "epoch": 2.66, + "grad_norm": 1.121350646018982, + "learning_rate": 1.3573811509591327e-05, + "loss": 0.7611, + "step": 2745 + }, + { + "epoch": 2.66, + "grad_norm": 0.8555711507797241, + "learning_rate": 1.3569641367806507e-05, + "loss": 0.8604, + "step": 2746 + }, + { + "epoch": 2.66, + "grad_norm": 0.9439060688018799, + "learning_rate": 1.3565471226021687e-05, + "loss": 0.7595, + "step": 2747 + }, + { + "epoch": 2.66, + "grad_norm": 1.110921025276184, + "learning_rate": 1.3561301084236865e-05, + "loss": 0.7249, + "step": 2748 + }, + { + "epoch": 2.66, + "grad_norm": 1.069811224937439, + "learning_rate": 1.3557130942452045e-05, + "loss": 0.7919, + "step": 2749 + }, + { + "epoch": 2.66, + "grad_norm": 1.0103093385696411, + "learning_rate": 1.3552960800667222e-05, + "loss": 0.8111, + "step": 2750 + }, + { + "epoch": 2.66, + "grad_norm": 1.0901721715927124, + "learning_rate": 1.3548790658882402e-05, + "loss": 0.7674, + "step": 2751 + }, + { + "epoch": 2.66, + "grad_norm": 1.1195257902145386, + "learning_rate": 1.354462051709758e-05, + "loss": 0.8266, + "step": 2752 + }, + { + "epoch": 2.66, + "grad_norm": 0.8499919772148132, + "learning_rate": 1.354045037531276e-05, + "loss": 0.835, + "step": 2753 + }, + { + "epoch": 2.66, + "grad_norm": 1.6676952838897705, + "learning_rate": 1.353628023352794e-05, + "loss": 0.7621, + "step": 2754 + }, + { + "epoch": 2.67, + "grad_norm": 0.8797328472137451, + "learning_rate": 1.3532110091743119e-05, + "loss": 0.7652, + "step": 2755 + }, + { + "epoch": 2.67, + "grad_norm": 1.2674466371536255, + "learning_rate": 1.3527939949958299e-05, + "loss": 0.7487, + "step": 2756 + }, + { + "epoch": 2.67, + "grad_norm": 1.15481436252594, + "learning_rate": 1.3523769808173479e-05, + "loss": 0.8105, + "step": 2757 + }, + { + "epoch": 2.67, + "grad_norm": 1.135153889656067, + "learning_rate": 1.3519599666388657e-05, + "loss": 0.8145, + "step": 2758 + }, + { + "epoch": 2.67, + "grad_norm": 1.0958456993103027, + "learning_rate": 1.3515429524603837e-05, + "loss": 0.749, + "step": 2759 + }, + { + "epoch": 2.67, + "grad_norm": 0.9649855494499207, + "learning_rate": 1.3511259382819017e-05, + "loss": 0.7083, + "step": 2760 + }, + { + "epoch": 2.67, + "grad_norm": 1.284314751625061, + "learning_rate": 1.3507089241034196e-05, + "loss": 0.7081, + "step": 2761 + }, + { + "epoch": 2.67, + "grad_norm": 0.8685805797576904, + "learning_rate": 1.3502919099249376e-05, + "loss": 0.7689, + "step": 2762 + }, + { + "epoch": 2.67, + "grad_norm": 1.2249027490615845, + "learning_rate": 1.3498748957464554e-05, + "loss": 0.6576, + "step": 2763 + }, + { + "epoch": 2.67, + "grad_norm": 1.2659308910369873, + "learning_rate": 1.3494578815679734e-05, + "loss": 0.7909, + "step": 2764 + }, + { + "epoch": 2.68, + "grad_norm": 0.8544058203697205, + "learning_rate": 1.3490408673894914e-05, + "loss": 0.6561, + "step": 2765 + }, + { + "epoch": 2.68, + "grad_norm": 0.9419943690299988, + "learning_rate": 1.3486238532110092e-05, + "loss": 0.6981, + "step": 2766 + }, + { + "epoch": 2.68, + "grad_norm": 1.1609447002410889, + "learning_rate": 1.3482068390325272e-05, + "loss": 0.7182, + "step": 2767 + }, + { + "epoch": 2.68, + "grad_norm": 0.8950268626213074, + "learning_rate": 1.3477898248540452e-05, + "loss": 0.7334, + "step": 2768 + }, + { + "epoch": 2.68, + "grad_norm": 0.9990386366844177, + "learning_rate": 1.347372810675563e-05, + "loss": 0.753, + "step": 2769 + }, + { + "epoch": 2.68, + "grad_norm": 1.1337963342666626, + "learning_rate": 1.3469557964970811e-05, + "loss": 0.7277, + "step": 2770 + }, + { + "epoch": 2.68, + "grad_norm": 1.1877665519714355, + "learning_rate": 1.3465387823185991e-05, + "loss": 0.9418, + "step": 2771 + }, + { + "epoch": 2.68, + "grad_norm": 1.1663825511932373, + "learning_rate": 1.3461217681401168e-05, + "loss": 0.8681, + "step": 2772 + }, + { + "epoch": 2.68, + "grad_norm": 0.9444478154182434, + "learning_rate": 1.3457047539616346e-05, + "loss": 0.9153, + "step": 2773 + }, + { + "epoch": 2.68, + "grad_norm": 1.1087076663970947, + "learning_rate": 1.3452877397831526e-05, + "loss": 0.7574, + "step": 2774 + }, + { + "epoch": 2.69, + "grad_norm": 1.2598627805709839, + "learning_rate": 1.3448707256046706e-05, + "loss": 0.8045, + "step": 2775 + }, + { + "epoch": 2.69, + "grad_norm": 1.4384407997131348, + "learning_rate": 1.3444537114261884e-05, + "loss": 0.7981, + "step": 2776 + }, + { + "epoch": 2.69, + "grad_norm": 1.028462529182434, + "learning_rate": 1.3440366972477064e-05, + "loss": 0.7334, + "step": 2777 + }, + { + "epoch": 2.69, + "grad_norm": 1.070851445198059, + "learning_rate": 1.3436196830692244e-05, + "loss": 0.7804, + "step": 2778 + }, + { + "epoch": 2.69, + "grad_norm": 1.0027174949645996, + "learning_rate": 1.3432026688907423e-05, + "loss": 0.7997, + "step": 2779 + }, + { + "epoch": 2.69, + "grad_norm": 1.2050737142562866, + "learning_rate": 1.3427856547122603e-05, + "loss": 0.6999, + "step": 2780 + }, + { + "epoch": 2.69, + "grad_norm": 1.105642557144165, + "learning_rate": 1.3423686405337783e-05, + "loss": 0.7787, + "step": 2781 + }, + { + "epoch": 2.69, + "grad_norm": 1.1579328775405884, + "learning_rate": 1.3419516263552961e-05, + "loss": 0.7693, + "step": 2782 + }, + { + "epoch": 2.69, + "grad_norm": 1.025367021560669, + "learning_rate": 1.3415346121768141e-05, + "loss": 0.7175, + "step": 2783 + }, + { + "epoch": 2.69, + "grad_norm": 1.0305778980255127, + "learning_rate": 1.341117597998332e-05, + "loss": 0.8309, + "step": 2784 + }, + { + "epoch": 2.69, + "grad_norm": 1.1071363687515259, + "learning_rate": 1.34070058381985e-05, + "loss": 0.9297, + "step": 2785 + }, + { + "epoch": 2.7, + "grad_norm": 1.080958366394043, + "learning_rate": 1.340283569641368e-05, + "loss": 0.7816, + "step": 2786 + }, + { + "epoch": 2.7, + "grad_norm": 1.163779377937317, + "learning_rate": 1.3398665554628858e-05, + "loss": 0.7036, + "step": 2787 + }, + { + "epoch": 2.7, + "grad_norm": 0.863783061504364, + "learning_rate": 1.3394495412844038e-05, + "loss": 0.8725, + "step": 2788 + }, + { + "epoch": 2.7, + "grad_norm": 1.067307710647583, + "learning_rate": 1.3390325271059218e-05, + "loss": 0.734, + "step": 2789 + }, + { + "epoch": 2.7, + "grad_norm": 1.511012077331543, + "learning_rate": 1.3386155129274396e-05, + "loss": 0.8406, + "step": 2790 + }, + { + "epoch": 2.7, + "grad_norm": 1.1147617101669312, + "learning_rate": 1.3381984987489576e-05, + "loss": 0.891, + "step": 2791 + }, + { + "epoch": 2.7, + "grad_norm": 0.9742388129234314, + "learning_rate": 1.3377814845704756e-05, + "loss": 0.5893, + "step": 2792 + }, + { + "epoch": 2.7, + "grad_norm": 1.2971007823944092, + "learning_rate": 1.3373644703919935e-05, + "loss": 0.9107, + "step": 2793 + }, + { + "epoch": 2.7, + "grad_norm": 1.01870858669281, + "learning_rate": 1.3369474562135111e-05, + "loss": 0.6857, + "step": 2794 + }, + { + "epoch": 2.7, + "grad_norm": 1.3895087242126465, + "learning_rate": 1.3365304420350291e-05, + "loss": 0.7856, + "step": 2795 + }, + { + "epoch": 2.71, + "grad_norm": 1.3442127704620361, + "learning_rate": 1.3361134278565471e-05, + "loss": 0.7009, + "step": 2796 + }, + { + "epoch": 2.71, + "grad_norm": 1.1190829277038574, + "learning_rate": 1.335696413678065e-05, + "loss": 0.8733, + "step": 2797 + }, + { + "epoch": 2.71, + "grad_norm": 1.0594651699066162, + "learning_rate": 1.335279399499583e-05, + "loss": 0.6097, + "step": 2798 + }, + { + "epoch": 2.71, + "grad_norm": 1.0020296573638916, + "learning_rate": 1.334862385321101e-05, + "loss": 0.6982, + "step": 2799 + }, + { + "epoch": 2.71, + "grad_norm": 1.32461416721344, + "learning_rate": 1.3344453711426188e-05, + "loss": 0.8968, + "step": 2800 + }, + { + "epoch": 2.71, + "grad_norm": 1.3778072595596313, + "learning_rate": 1.3340283569641368e-05, + "loss": 0.8896, + "step": 2801 + }, + { + "epoch": 2.71, + "grad_norm": 1.0583219528198242, + "learning_rate": 1.3336113427856548e-05, + "loss": 0.7636, + "step": 2802 + }, + { + "epoch": 2.71, + "grad_norm": 1.12294602394104, + "learning_rate": 1.3331943286071727e-05, + "loss": 0.6756, + "step": 2803 + }, + { + "epoch": 2.71, + "grad_norm": 0.882722795009613, + "learning_rate": 1.3327773144286907e-05, + "loss": 0.7295, + "step": 2804 + }, + { + "epoch": 2.71, + "grad_norm": 0.8771805167198181, + "learning_rate": 1.3323603002502085e-05, + "loss": 0.9934, + "step": 2805 + }, + { + "epoch": 2.72, + "grad_norm": 0.9305062890052795, + "learning_rate": 1.3319432860717265e-05, + "loss": 0.7412, + "step": 2806 + }, + { + "epoch": 2.72, + "grad_norm": 0.8925868272781372, + "learning_rate": 1.3315262718932445e-05, + "loss": 0.9408, + "step": 2807 + }, + { + "epoch": 2.72, + "grad_norm": 1.1939051151275635, + "learning_rate": 1.3311092577147623e-05, + "loss": 0.8279, + "step": 2808 + }, + { + "epoch": 2.72, + "grad_norm": 1.0047705173492432, + "learning_rate": 1.3306922435362803e-05, + "loss": 0.7361, + "step": 2809 + }, + { + "epoch": 2.72, + "grad_norm": 0.8074364066123962, + "learning_rate": 1.3302752293577984e-05, + "loss": 0.6823, + "step": 2810 + }, + { + "epoch": 2.72, + "grad_norm": 1.157014012336731, + "learning_rate": 1.3298582151793162e-05, + "loss": 0.7743, + "step": 2811 + }, + { + "epoch": 2.72, + "grad_norm": 1.2906821966171265, + "learning_rate": 1.3294412010008342e-05, + "loss": 0.7777, + "step": 2812 + }, + { + "epoch": 2.72, + "grad_norm": 0.9478481411933899, + "learning_rate": 1.3290241868223522e-05, + "loss": 0.7732, + "step": 2813 + }, + { + "epoch": 2.72, + "grad_norm": 1.532942533493042, + "learning_rate": 1.32860717264387e-05, + "loss": 0.6866, + "step": 2814 + }, + { + "epoch": 2.72, + "grad_norm": 0.9672006368637085, + "learning_rate": 1.328190158465388e-05, + "loss": 0.7368, + "step": 2815 + }, + { + "epoch": 2.72, + "grad_norm": 0.9182103276252747, + "learning_rate": 1.3277731442869057e-05, + "loss": 0.5883, + "step": 2816 + }, + { + "epoch": 2.73, + "grad_norm": 1.0649373531341553, + "learning_rate": 1.3273561301084237e-05, + "loss": 0.6857, + "step": 2817 + }, + { + "epoch": 2.73, + "grad_norm": 0.9586851596832275, + "learning_rate": 1.3269391159299415e-05, + "loss": 0.8209, + "step": 2818 + }, + { + "epoch": 2.73, + "grad_norm": 1.029329776763916, + "learning_rate": 1.3265221017514595e-05, + "loss": 0.9256, + "step": 2819 + }, + { + "epoch": 2.73, + "grad_norm": 1.4110411405563354, + "learning_rate": 1.3261050875729775e-05, + "loss": 0.7606, + "step": 2820 + }, + { + "epoch": 2.73, + "grad_norm": 1.3208307027816772, + "learning_rate": 1.3256880733944954e-05, + "loss": 0.829, + "step": 2821 + }, + { + "epoch": 2.73, + "grad_norm": 1.1371136903762817, + "learning_rate": 1.3252710592160134e-05, + "loss": 0.7147, + "step": 2822 + }, + { + "epoch": 2.73, + "grad_norm": 1.1264079809188843, + "learning_rate": 1.3248540450375314e-05, + "loss": 0.8196, + "step": 2823 + }, + { + "epoch": 2.73, + "grad_norm": 1.2673085927963257, + "learning_rate": 1.3244370308590492e-05, + "loss": 0.6968, + "step": 2824 + }, + { + "epoch": 2.73, + "grad_norm": 1.8443318605422974, + "learning_rate": 1.3240200166805672e-05, + "loss": 0.6511, + "step": 2825 + }, + { + "epoch": 2.73, + "grad_norm": 0.9679901003837585, + "learning_rate": 1.323603002502085e-05, + "loss": 0.7638, + "step": 2826 + }, + { + "epoch": 2.74, + "grad_norm": 1.1211057901382446, + "learning_rate": 1.323185988323603e-05, + "loss": 0.5882, + "step": 2827 + }, + { + "epoch": 2.74, + "grad_norm": 1.6302844285964966, + "learning_rate": 1.322768974145121e-05, + "loss": 0.7544, + "step": 2828 + }, + { + "epoch": 2.74, + "grad_norm": 1.135084867477417, + "learning_rate": 1.3223519599666389e-05, + "loss": 0.6969, + "step": 2829 + }, + { + "epoch": 2.74, + "grad_norm": 1.386428713798523, + "learning_rate": 1.3219349457881569e-05, + "loss": 0.7706, + "step": 2830 + }, + { + "epoch": 2.74, + "grad_norm": 1.234928846359253, + "learning_rate": 1.3215179316096749e-05, + "loss": 0.7797, + "step": 2831 + }, + { + "epoch": 2.74, + "grad_norm": 1.1103532314300537, + "learning_rate": 1.3211009174311927e-05, + "loss": 0.7578, + "step": 2832 + }, + { + "epoch": 2.74, + "grad_norm": 1.499010682106018, + "learning_rate": 1.3206839032527107e-05, + "loss": 0.7098, + "step": 2833 + }, + { + "epoch": 2.74, + "grad_norm": 0.9956467747688293, + "learning_rate": 1.3202668890742287e-05, + "loss": 0.7586, + "step": 2834 + }, + { + "epoch": 2.74, + "grad_norm": 0.9975863695144653, + "learning_rate": 1.3198498748957466e-05, + "loss": 0.621, + "step": 2835 + }, + { + "epoch": 2.74, + "grad_norm": 1.1926311254501343, + "learning_rate": 1.3194328607172646e-05, + "loss": 0.6357, + "step": 2836 + }, + { + "epoch": 2.75, + "grad_norm": 1.0536892414093018, + "learning_rate": 1.3190158465387826e-05, + "loss": 0.853, + "step": 2837 + }, + { + "epoch": 2.75, + "grad_norm": 1.0447497367858887, + "learning_rate": 1.3185988323603002e-05, + "loss": 0.8057, + "step": 2838 + }, + { + "epoch": 2.75, + "grad_norm": 1.040515422821045, + "learning_rate": 1.318181818181818e-05, + "loss": 0.7328, + "step": 2839 + }, + { + "epoch": 2.75, + "grad_norm": 0.9839358925819397, + "learning_rate": 1.3177648040033361e-05, + "loss": 0.7634, + "step": 2840 + }, + { + "epoch": 2.75, + "grad_norm": 1.1223756074905396, + "learning_rate": 1.3173477898248541e-05, + "loss": 0.8416, + "step": 2841 + }, + { + "epoch": 2.75, + "grad_norm": 1.0056467056274414, + "learning_rate": 1.316930775646372e-05, + "loss": 0.6996, + "step": 2842 + }, + { + "epoch": 2.75, + "grad_norm": 1.2504273653030396, + "learning_rate": 1.31651376146789e-05, + "loss": 0.7384, + "step": 2843 + }, + { + "epoch": 2.75, + "grad_norm": 0.9827916622161865, + "learning_rate": 1.316096747289408e-05, + "loss": 0.7411, + "step": 2844 + }, + { + "epoch": 2.75, + "grad_norm": 0.9487703442573547, + "learning_rate": 1.3156797331109258e-05, + "loss": 0.6958, + "step": 2845 + }, + { + "epoch": 2.75, + "grad_norm": 0.9561757445335388, + "learning_rate": 1.3152627189324438e-05, + "loss": 0.9105, + "step": 2846 + }, + { + "epoch": 2.75, + "grad_norm": 1.3624708652496338, + "learning_rate": 1.3148457047539616e-05, + "loss": 0.8221, + "step": 2847 + }, + { + "epoch": 2.76, + "grad_norm": 0.9794656038284302, + "learning_rate": 1.3144286905754796e-05, + "loss": 0.6497, + "step": 2848 + }, + { + "epoch": 2.76, + "grad_norm": 1.1320570707321167, + "learning_rate": 1.3140116763969976e-05, + "loss": 0.8447, + "step": 2849 + }, + { + "epoch": 2.76, + "grad_norm": 0.9991492629051208, + "learning_rate": 1.3135946622185154e-05, + "loss": 0.8418, + "step": 2850 + }, + { + "epoch": 2.76, + "grad_norm": 1.0720969438552856, + "learning_rate": 1.3131776480400334e-05, + "loss": 0.746, + "step": 2851 + }, + { + "epoch": 2.76, + "grad_norm": 1.0381536483764648, + "learning_rate": 1.3127606338615515e-05, + "loss": 0.8366, + "step": 2852 + }, + { + "epoch": 2.76, + "grad_norm": 1.1302374601364136, + "learning_rate": 1.3123436196830693e-05, + "loss": 0.7777, + "step": 2853 + }, + { + "epoch": 2.76, + "grad_norm": 1.0312644243240356, + "learning_rate": 1.3119266055045873e-05, + "loss": 0.7144, + "step": 2854 + }, + { + "epoch": 2.76, + "grad_norm": 1.362284541130066, + "learning_rate": 1.3115095913261053e-05, + "loss": 0.6516, + "step": 2855 + }, + { + "epoch": 2.76, + "grad_norm": 1.023298740386963, + "learning_rate": 1.3110925771476231e-05, + "loss": 0.742, + "step": 2856 + }, + { + "epoch": 2.76, + "grad_norm": 1.9634461402893066, + "learning_rate": 1.3106755629691411e-05, + "loss": 0.7788, + "step": 2857 + }, + { + "epoch": 2.77, + "grad_norm": 1.027371883392334, + "learning_rate": 1.3102585487906591e-05, + "loss": 0.6654, + "step": 2858 + }, + { + "epoch": 2.77, + "grad_norm": 0.985931396484375, + "learning_rate": 1.309841534612177e-05, + "loss": 0.8041, + "step": 2859 + }, + { + "epoch": 2.77, + "grad_norm": 1.0921961069107056, + "learning_rate": 1.3094245204336946e-05, + "loss": 0.7822, + "step": 2860 + }, + { + "epoch": 2.77, + "grad_norm": 1.2869850397109985, + "learning_rate": 1.3090075062552126e-05, + "loss": 0.7319, + "step": 2861 + }, + { + "epoch": 2.77, + "grad_norm": 1.0103602409362793, + "learning_rate": 1.3085904920767306e-05, + "loss": 0.8423, + "step": 2862 + }, + { + "epoch": 2.77, + "grad_norm": 1.1827856302261353, + "learning_rate": 1.3081734778982485e-05, + "loss": 0.8757, + "step": 2863 + }, + { + "epoch": 2.77, + "grad_norm": 1.0641472339630127, + "learning_rate": 1.3077564637197665e-05, + "loss": 0.8307, + "step": 2864 + }, + { + "epoch": 2.77, + "grad_norm": 1.3347526788711548, + "learning_rate": 1.3073394495412845e-05, + "loss": 0.7547, + "step": 2865 + }, + { + "epoch": 2.77, + "grad_norm": 0.8198919296264648, + "learning_rate": 1.3069224353628023e-05, + "loss": 0.526, + "step": 2866 + }, + { + "epoch": 2.77, + "grad_norm": 1.0347810983657837, + "learning_rate": 1.3065054211843203e-05, + "loss": 0.9276, + "step": 2867 + }, + { + "epoch": 2.78, + "grad_norm": 1.1374082565307617, + "learning_rate": 1.3060884070058382e-05, + "loss": 0.8836, + "step": 2868 + }, + { + "epoch": 2.78, + "grad_norm": 1.1171399354934692, + "learning_rate": 1.3056713928273562e-05, + "loss": 0.665, + "step": 2869 + }, + { + "epoch": 2.78, + "grad_norm": 0.8381138443946838, + "learning_rate": 1.3052543786488742e-05, + "loss": 0.6486, + "step": 2870 + }, + { + "epoch": 2.78, + "grad_norm": 1.0682660341262817, + "learning_rate": 1.304837364470392e-05, + "loss": 0.7407, + "step": 2871 + }, + { + "epoch": 2.78, + "grad_norm": 1.1348003149032593, + "learning_rate": 1.30442035029191e-05, + "loss": 0.5834, + "step": 2872 + }, + { + "epoch": 2.78, + "grad_norm": 0.9190971851348877, + "learning_rate": 1.304003336113428e-05, + "loss": 0.7367, + "step": 2873 + }, + { + "epoch": 2.78, + "grad_norm": 0.8807770609855652, + "learning_rate": 1.3035863219349458e-05, + "loss": 0.7625, + "step": 2874 + }, + { + "epoch": 2.78, + "grad_norm": 1.0788437128067017, + "learning_rate": 1.3031693077564638e-05, + "loss": 0.8361, + "step": 2875 + }, + { + "epoch": 2.78, + "grad_norm": 1.0430773496627808, + "learning_rate": 1.3027522935779818e-05, + "loss": 0.8611, + "step": 2876 + }, + { + "epoch": 2.78, + "grad_norm": 0.9303620457649231, + "learning_rate": 1.3023352793994997e-05, + "loss": 0.7707, + "step": 2877 + }, + { + "epoch": 2.78, + "grad_norm": 1.0201985836029053, + "learning_rate": 1.3019182652210177e-05, + "loss": 0.7659, + "step": 2878 + }, + { + "epoch": 2.79, + "grad_norm": 1.095104694366455, + "learning_rate": 1.3015012510425357e-05, + "loss": 0.8454, + "step": 2879 + }, + { + "epoch": 2.79, + "grad_norm": 1.2415308952331543, + "learning_rate": 1.3010842368640535e-05, + "loss": 0.7557, + "step": 2880 + }, + { + "epoch": 2.79, + "grad_norm": 0.8633377552032471, + "learning_rate": 1.3006672226855715e-05, + "loss": 0.7552, + "step": 2881 + }, + { + "epoch": 2.79, + "grad_norm": 0.9572958946228027, + "learning_rate": 1.3002502085070892e-05, + "loss": 0.8225, + "step": 2882 + }, + { + "epoch": 2.79, + "grad_norm": 1.4293265342712402, + "learning_rate": 1.2998331943286072e-05, + "loss": 0.7979, + "step": 2883 + }, + { + "epoch": 2.79, + "grad_norm": 1.0403486490249634, + "learning_rate": 1.299416180150125e-05, + "loss": 0.8834, + "step": 2884 + }, + { + "epoch": 2.79, + "grad_norm": 1.2162950038909912, + "learning_rate": 1.298999165971643e-05, + "loss": 0.5954, + "step": 2885 + }, + { + "epoch": 2.79, + "grad_norm": 1.2505816221237183, + "learning_rate": 1.298582151793161e-05, + "loss": 0.6757, + "step": 2886 + }, + { + "epoch": 2.79, + "grad_norm": 1.1081019639968872, + "learning_rate": 1.2981651376146789e-05, + "loss": 0.8901, + "step": 2887 + }, + { + "epoch": 2.79, + "grad_norm": 1.0022648572921753, + "learning_rate": 1.2977481234361969e-05, + "loss": 0.7663, + "step": 2888 + }, + { + "epoch": 2.8, + "grad_norm": 0.8788226246833801, + "learning_rate": 1.2973311092577147e-05, + "loss": 0.8021, + "step": 2889 + }, + { + "epoch": 2.8, + "grad_norm": 0.8850044012069702, + "learning_rate": 1.2969140950792327e-05, + "loss": 0.8546, + "step": 2890 + }, + { + "epoch": 2.8, + "grad_norm": 1.3502116203308105, + "learning_rate": 1.2964970809007507e-05, + "loss": 0.8113, + "step": 2891 + }, + { + "epoch": 2.8, + "grad_norm": 1.1076927185058594, + "learning_rate": 1.2960800667222685e-05, + "loss": 0.8605, + "step": 2892 + }, + { + "epoch": 2.8, + "grad_norm": 0.8435190916061401, + "learning_rate": 1.2956630525437865e-05, + "loss": 0.8077, + "step": 2893 + }, + { + "epoch": 2.8, + "grad_norm": 0.976122260093689, + "learning_rate": 1.2952460383653046e-05, + "loss": 0.8606, + "step": 2894 + }, + { + "epoch": 2.8, + "grad_norm": 0.887108564376831, + "learning_rate": 1.2948290241868224e-05, + "loss": 0.7361, + "step": 2895 + }, + { + "epoch": 2.8, + "grad_norm": 1.1819438934326172, + "learning_rate": 1.2944120100083404e-05, + "loss": 0.7038, + "step": 2896 + }, + { + "epoch": 2.8, + "grad_norm": 1.9210920333862305, + "learning_rate": 1.2939949958298584e-05, + "loss": 0.8483, + "step": 2897 + }, + { + "epoch": 2.8, + "grad_norm": 1.068942904472351, + "learning_rate": 1.2935779816513762e-05, + "loss": 0.6863, + "step": 2898 + }, + { + "epoch": 2.81, + "grad_norm": 1.1280122995376587, + "learning_rate": 1.2931609674728942e-05, + "loss": 0.8487, + "step": 2899 + }, + { + "epoch": 2.81, + "grad_norm": 1.0562607049942017, + "learning_rate": 1.2927439532944122e-05, + "loss": 0.8106, + "step": 2900 + }, + { + "epoch": 2.81, + "grad_norm": 0.887069046497345, + "learning_rate": 1.29232693911593e-05, + "loss": 0.8111, + "step": 2901 + }, + { + "epoch": 2.81, + "grad_norm": 1.3460056781768799, + "learning_rate": 1.291909924937448e-05, + "loss": 0.7291, + "step": 2902 + }, + { + "epoch": 2.81, + "grad_norm": 1.0273410081863403, + "learning_rate": 1.291492910758966e-05, + "loss": 0.681, + "step": 2903 + }, + { + "epoch": 2.81, + "grad_norm": 0.8444592952728271, + "learning_rate": 1.2910758965804837e-05, + "loss": 0.6439, + "step": 2904 + }, + { + "epoch": 2.81, + "grad_norm": 1.164722204208374, + "learning_rate": 1.2906588824020016e-05, + "loss": 0.7817, + "step": 2905 + }, + { + "epoch": 2.81, + "grad_norm": 0.9180857539176941, + "learning_rate": 1.2902418682235196e-05, + "loss": 0.725, + "step": 2906 + }, + { + "epoch": 2.81, + "grad_norm": 0.9038789868354797, + "learning_rate": 1.2898248540450376e-05, + "loss": 0.7486, + "step": 2907 + }, + { + "epoch": 2.81, + "grad_norm": 1.0931315422058105, + "learning_rate": 1.2894078398665554e-05, + "loss": 0.7151, + "step": 2908 + }, + { + "epoch": 2.81, + "grad_norm": 0.8822130560874939, + "learning_rate": 1.2889908256880734e-05, + "loss": 0.7708, + "step": 2909 + }, + { + "epoch": 2.82, + "grad_norm": 0.962641179561615, + "learning_rate": 1.2885738115095913e-05, + "loss": 0.6762, + "step": 2910 + }, + { + "epoch": 2.82, + "grad_norm": 0.916017472743988, + "learning_rate": 1.2881567973311093e-05, + "loss": 0.8275, + "step": 2911 + }, + { + "epoch": 2.82, + "grad_norm": 1.4273186922073364, + "learning_rate": 1.2877397831526273e-05, + "loss": 0.7151, + "step": 2912 + }, + { + "epoch": 2.82, + "grad_norm": 1.2772573232650757, + "learning_rate": 1.2873227689741451e-05, + "loss": 0.8046, + "step": 2913 + }, + { + "epoch": 2.82, + "grad_norm": 1.10335373878479, + "learning_rate": 1.2869057547956631e-05, + "loss": 0.7017, + "step": 2914 + }, + { + "epoch": 2.82, + "grad_norm": 1.212719440460205, + "learning_rate": 1.2864887406171811e-05, + "loss": 0.8692, + "step": 2915 + }, + { + "epoch": 2.82, + "grad_norm": 1.2376822233200073, + "learning_rate": 1.286071726438699e-05, + "loss": 0.758, + "step": 2916 + }, + { + "epoch": 2.82, + "grad_norm": 1.31455397605896, + "learning_rate": 1.285654712260217e-05, + "loss": 0.9196, + "step": 2917 + }, + { + "epoch": 2.82, + "grad_norm": 0.8763294816017151, + "learning_rate": 1.285237698081735e-05, + "loss": 0.88, + "step": 2918 + }, + { + "epoch": 2.82, + "grad_norm": 1.0650042295455933, + "learning_rate": 1.2848206839032528e-05, + "loss": 0.688, + "step": 2919 + }, + { + "epoch": 2.83, + "grad_norm": 1.0748875141143799, + "learning_rate": 1.2844036697247708e-05, + "loss": 0.9152, + "step": 2920 + }, + { + "epoch": 2.83, + "grad_norm": 1.3394924402236938, + "learning_rate": 1.2839866555462888e-05, + "loss": 0.8565, + "step": 2921 + }, + { + "epoch": 2.83, + "grad_norm": 0.9885644316673279, + "learning_rate": 1.2835696413678066e-05, + "loss": 0.8551, + "step": 2922 + }, + { + "epoch": 2.83, + "grad_norm": 1.5201468467712402, + "learning_rate": 1.2831526271893246e-05, + "loss": 0.6732, + "step": 2923 + }, + { + "epoch": 2.83, + "grad_norm": 0.8641204833984375, + "learning_rate": 1.2827356130108426e-05, + "loss": 0.8259, + "step": 2924 + }, + { + "epoch": 2.83, + "grad_norm": 1.0190460681915283, + "learning_rate": 1.2823185988323605e-05, + "loss": 0.7323, + "step": 2925 + }, + { + "epoch": 2.83, + "grad_norm": 0.9080938696861267, + "learning_rate": 1.2819015846538781e-05, + "loss": 0.7846, + "step": 2926 + }, + { + "epoch": 2.83, + "grad_norm": 1.3029388189315796, + "learning_rate": 1.2814845704753961e-05, + "loss": 0.7192, + "step": 2927 + }, + { + "epoch": 2.83, + "grad_norm": 1.220399260520935, + "learning_rate": 1.2810675562969141e-05, + "loss": 0.8569, + "step": 2928 + }, + { + "epoch": 2.83, + "grad_norm": 1.0975955724716187, + "learning_rate": 1.280650542118432e-05, + "loss": 0.8436, + "step": 2929 + }, + { + "epoch": 2.84, + "grad_norm": 1.1889195442199707, + "learning_rate": 1.28023352793995e-05, + "loss": 1.0114, + "step": 2930 + }, + { + "epoch": 2.84, + "grad_norm": 1.1108983755111694, + "learning_rate": 1.2798165137614678e-05, + "loss": 0.7248, + "step": 2931 + }, + { + "epoch": 2.84, + "grad_norm": 0.9673321843147278, + "learning_rate": 1.2793994995829858e-05, + "loss": 0.6895, + "step": 2932 + }, + { + "epoch": 2.84, + "grad_norm": 1.7810231447219849, + "learning_rate": 1.2789824854045038e-05, + "loss": 0.7865, + "step": 2933 + }, + { + "epoch": 2.84, + "grad_norm": 0.8267586827278137, + "learning_rate": 1.2785654712260216e-05, + "loss": 0.6461, + "step": 2934 + }, + { + "epoch": 2.84, + "grad_norm": 1.0488536357879639, + "learning_rate": 1.2781484570475396e-05, + "loss": 0.7691, + "step": 2935 + }, + { + "epoch": 2.84, + "grad_norm": 1.1053102016448975, + "learning_rate": 1.2777314428690577e-05, + "loss": 0.7291, + "step": 2936 + }, + { + "epoch": 2.84, + "grad_norm": 0.9313549399375916, + "learning_rate": 1.2773144286905755e-05, + "loss": 0.6646, + "step": 2937 + }, + { + "epoch": 2.84, + "grad_norm": 1.1168389320373535, + "learning_rate": 1.2768974145120935e-05, + "loss": 0.9088, + "step": 2938 + }, + { + "epoch": 2.84, + "grad_norm": 1.5368369817733765, + "learning_rate": 1.2764804003336115e-05, + "loss": 0.8091, + "step": 2939 + }, + { + "epoch": 2.84, + "grad_norm": 0.963542640209198, + "learning_rate": 1.2760633861551293e-05, + "loss": 0.8178, + "step": 2940 + }, + { + "epoch": 2.85, + "grad_norm": 0.8977298140525818, + "learning_rate": 1.2756463719766473e-05, + "loss": 0.7694, + "step": 2941 + }, + { + "epoch": 2.85, + "grad_norm": 1.6188994646072388, + "learning_rate": 1.2752293577981653e-05, + "loss": 0.7406, + "step": 2942 + }, + { + "epoch": 2.85, + "grad_norm": 1.0652313232421875, + "learning_rate": 1.2748123436196832e-05, + "loss": 0.9073, + "step": 2943 + }, + { + "epoch": 2.85, + "grad_norm": 0.7685401439666748, + "learning_rate": 1.2743953294412012e-05, + "loss": 0.6792, + "step": 2944 + }, + { + "epoch": 2.85, + "grad_norm": 1.0433217287063599, + "learning_rate": 1.2739783152627192e-05, + "loss": 0.6615, + "step": 2945 + }, + { + "epoch": 2.85, + "grad_norm": 1.23108971118927, + "learning_rate": 1.273561301084237e-05, + "loss": 0.7591, + "step": 2946 + }, + { + "epoch": 2.85, + "grad_norm": 1.0398743152618408, + "learning_rate": 1.273144286905755e-05, + "loss": 0.9502, + "step": 2947 + }, + { + "epoch": 2.85, + "grad_norm": 1.0222898721694946, + "learning_rate": 1.2727272727272727e-05, + "loss": 0.7367, + "step": 2948 + }, + { + "epoch": 2.85, + "grad_norm": 0.9903231263160706, + "learning_rate": 1.2723102585487907e-05, + "loss": 0.6759, + "step": 2949 + }, + { + "epoch": 2.85, + "grad_norm": 0.9286398887634277, + "learning_rate": 1.2718932443703085e-05, + "loss": 0.7311, + "step": 2950 + }, + { + "epoch": 2.86, + "grad_norm": 1.023216724395752, + "learning_rate": 1.2714762301918265e-05, + "loss": 0.8126, + "step": 2951 + }, + { + "epoch": 2.86, + "grad_norm": 0.7418079972267151, + "learning_rate": 1.2710592160133444e-05, + "loss": 0.6852, + "step": 2952 + }, + { + "epoch": 2.86, + "grad_norm": 0.9153947830200195, + "learning_rate": 1.2706422018348624e-05, + "loss": 0.7373, + "step": 2953 + }, + { + "epoch": 2.86, + "grad_norm": 1.0506079196929932, + "learning_rate": 1.2702251876563804e-05, + "loss": 0.7644, + "step": 2954 + }, + { + "epoch": 2.86, + "grad_norm": 0.972196102142334, + "learning_rate": 1.2698081734778982e-05, + "loss": 0.7053, + "step": 2955 + }, + { + "epoch": 2.86, + "grad_norm": 1.3280973434448242, + "learning_rate": 1.2693911592994162e-05, + "loss": 0.8045, + "step": 2956 + }, + { + "epoch": 2.86, + "grad_norm": 0.9256622195243835, + "learning_rate": 1.2689741451209342e-05, + "loss": 0.692, + "step": 2957 + }, + { + "epoch": 2.86, + "grad_norm": 1.179431438446045, + "learning_rate": 1.268557130942452e-05, + "loss": 0.7172, + "step": 2958 + }, + { + "epoch": 2.86, + "grad_norm": 1.2501980066299438, + "learning_rate": 1.26814011676397e-05, + "loss": 0.6802, + "step": 2959 + }, + { + "epoch": 2.86, + "grad_norm": 1.241469383239746, + "learning_rate": 1.267723102585488e-05, + "loss": 0.5975, + "step": 2960 + }, + { + "epoch": 2.87, + "grad_norm": 0.9602321982383728, + "learning_rate": 1.2673060884070059e-05, + "loss": 0.7895, + "step": 2961 + }, + { + "epoch": 2.87, + "grad_norm": 0.7858629822731018, + "learning_rate": 1.2668890742285239e-05, + "loss": 0.6666, + "step": 2962 + }, + { + "epoch": 2.87, + "grad_norm": 1.3083211183547974, + "learning_rate": 1.2664720600500419e-05, + "loss": 0.6165, + "step": 2963 + }, + { + "epoch": 2.87, + "grad_norm": 1.0217490196228027, + "learning_rate": 1.2660550458715597e-05, + "loss": 0.6482, + "step": 2964 + }, + { + "epoch": 2.87, + "grad_norm": 1.0343687534332275, + "learning_rate": 1.2656380316930777e-05, + "loss": 0.8089, + "step": 2965 + }, + { + "epoch": 2.87, + "grad_norm": 1.44060218334198, + "learning_rate": 1.2652210175145957e-05, + "loss": 0.7952, + "step": 2966 + }, + { + "epoch": 2.87, + "grad_norm": 1.0138202905654907, + "learning_rate": 1.2648040033361136e-05, + "loss": 0.7138, + "step": 2967 + }, + { + "epoch": 2.87, + "grad_norm": 1.0015027523040771, + "learning_rate": 1.2643869891576316e-05, + "loss": 0.7935, + "step": 2968 + }, + { + "epoch": 2.87, + "grad_norm": 1.0474773645401, + "learning_rate": 1.2639699749791496e-05, + "loss": 0.5391, + "step": 2969 + }, + { + "epoch": 2.87, + "grad_norm": 1.142675757408142, + "learning_rate": 1.2635529608006672e-05, + "loss": 0.8779, + "step": 2970 + }, + { + "epoch": 2.87, + "grad_norm": 1.0810307264328003, + "learning_rate": 1.263135946622185e-05, + "loss": 0.7873, + "step": 2971 + }, + { + "epoch": 2.88, + "grad_norm": 1.0619462728500366, + "learning_rate": 1.262718932443703e-05, + "loss": 0.6064, + "step": 2972 + }, + { + "epoch": 2.88, + "grad_norm": 1.0048075914382935, + "learning_rate": 1.2623019182652209e-05, + "loss": 0.7431, + "step": 2973 + }, + { + "epoch": 2.88, + "grad_norm": 0.905157208442688, + "learning_rate": 1.2618849040867389e-05, + "loss": 0.691, + "step": 2974 + }, + { + "epoch": 2.88, + "grad_norm": 1.220671534538269, + "learning_rate": 1.2614678899082569e-05, + "loss": 0.7936, + "step": 2975 + }, + { + "epoch": 2.88, + "grad_norm": 1.0253351926803589, + "learning_rate": 1.2610508757297747e-05, + "loss": 1.0781, + "step": 2976 + }, + { + "epoch": 2.88, + "grad_norm": 1.0448189973831177, + "learning_rate": 1.2606338615512927e-05, + "loss": 0.9344, + "step": 2977 + }, + { + "epoch": 2.88, + "grad_norm": 1.132511019706726, + "learning_rate": 1.2602168473728108e-05, + "loss": 0.8142, + "step": 2978 + }, + { + "epoch": 2.88, + "grad_norm": 1.0515365600585938, + "learning_rate": 1.2597998331943286e-05, + "loss": 0.7027, + "step": 2979 + }, + { + "epoch": 2.88, + "grad_norm": 1.0628981590270996, + "learning_rate": 1.2593828190158466e-05, + "loss": 0.6427, + "step": 2980 + }, + { + "epoch": 2.88, + "grad_norm": 0.8292456865310669, + "learning_rate": 1.2589658048373646e-05, + "loss": 0.7125, + "step": 2981 + }, + { + "epoch": 2.89, + "grad_norm": 1.3667699098587036, + "learning_rate": 1.2585487906588824e-05, + "loss": 0.6053, + "step": 2982 + }, + { + "epoch": 2.89, + "grad_norm": 1.2478069067001343, + "learning_rate": 1.2581317764804004e-05, + "loss": 0.7583, + "step": 2983 + }, + { + "epoch": 2.89, + "grad_norm": 1.0241371393203735, + "learning_rate": 1.2577147623019184e-05, + "loss": 0.6853, + "step": 2984 + }, + { + "epoch": 2.89, + "grad_norm": 1.774310827255249, + "learning_rate": 1.2572977481234363e-05, + "loss": 0.9161, + "step": 2985 + }, + { + "epoch": 2.89, + "grad_norm": 1.0985052585601807, + "learning_rate": 1.2568807339449543e-05, + "loss": 0.7809, + "step": 2986 + }, + { + "epoch": 2.89, + "grad_norm": 0.7419655323028564, + "learning_rate": 1.2564637197664723e-05, + "loss": 0.5579, + "step": 2987 + }, + { + "epoch": 2.89, + "grad_norm": 0.9923073053359985, + "learning_rate": 1.2560467055879901e-05, + "loss": 0.7292, + "step": 2988 + }, + { + "epoch": 2.89, + "grad_norm": 2.0745935440063477, + "learning_rate": 1.2556296914095081e-05, + "loss": 0.7521, + "step": 2989 + }, + { + "epoch": 2.89, + "grad_norm": 0.9934679865837097, + "learning_rate": 1.2552126772310261e-05, + "loss": 0.6409, + "step": 2990 + }, + { + "epoch": 2.89, + "grad_norm": 1.0373834371566772, + "learning_rate": 1.254795663052544e-05, + "loss": 0.6586, + "step": 2991 + }, + { + "epoch": 2.9, + "grad_norm": 0.9477466344833374, + "learning_rate": 1.2543786488740616e-05, + "loss": 0.7771, + "step": 2992 + }, + { + "epoch": 2.9, + "grad_norm": 1.6447780132293701, + "learning_rate": 1.2539616346955796e-05, + "loss": 0.8469, + "step": 2993 + }, + { + "epoch": 2.9, + "grad_norm": 1.215792179107666, + "learning_rate": 1.2535446205170975e-05, + "loss": 0.8053, + "step": 2994 + }, + { + "epoch": 2.9, + "grad_norm": 1.064693808555603, + "learning_rate": 1.2531276063386155e-05, + "loss": 0.7914, + "step": 2995 + }, + { + "epoch": 2.9, + "grad_norm": 0.9188418984413147, + "learning_rate": 1.2527105921601335e-05, + "loss": 0.7202, + "step": 2996 + }, + { + "epoch": 2.9, + "grad_norm": 1.2343722581863403, + "learning_rate": 1.2522935779816513e-05, + "loss": 0.7358, + "step": 2997 + }, + { + "epoch": 2.9, + "grad_norm": 0.7503334283828735, + "learning_rate": 1.2518765638031693e-05, + "loss": 0.734, + "step": 2998 + }, + { + "epoch": 2.9, + "grad_norm": 1.1199883222579956, + "learning_rate": 1.2514595496246873e-05, + "loss": 0.7248, + "step": 2999 + }, + { + "epoch": 2.9, + "grad_norm": 1.2575784921646118, + "learning_rate": 1.2510425354462051e-05, + "loss": 0.9574, + "step": 3000 + }, + { + "epoch": 2.9, + "eval_loss": 0.8495884537696838, + "eval_runtime": 857.9458, + "eval_samples_per_second": 4.818, + "eval_steps_per_second": 0.603, + "step": 3000 + }, + { + "epoch": 2.9, + "grad_norm": 1.183372974395752, + "learning_rate": 1.2506255212677231e-05, + "loss": 0.8625, + "step": 3001 + }, + { + "epoch": 2.9, + "grad_norm": 0.9380956292152405, + "learning_rate": 1.2502085070892411e-05, + "loss": 0.6166, + "step": 3002 + }, + { + "epoch": 2.91, + "grad_norm": 1.162009358406067, + "learning_rate": 1.249791492910759e-05, + "loss": 0.7709, + "step": 3003 + }, + { + "epoch": 2.91, + "grad_norm": 1.1164528131484985, + "learning_rate": 1.249374478732277e-05, + "loss": 0.7264, + "step": 3004 + }, + { + "epoch": 2.91, + "grad_norm": 1.1282567977905273, + "learning_rate": 1.248957464553795e-05, + "loss": 0.7105, + "step": 3005 + }, + { + "epoch": 2.91, + "grad_norm": 1.0823564529418945, + "learning_rate": 1.2485404503753128e-05, + "loss": 0.7055, + "step": 3006 + }, + { + "epoch": 2.91, + "grad_norm": 1.1487401723861694, + "learning_rate": 1.2481234361968308e-05, + "loss": 0.8436, + "step": 3007 + }, + { + "epoch": 2.91, + "grad_norm": 1.1463149785995483, + "learning_rate": 1.2477064220183488e-05, + "loss": 0.7143, + "step": 3008 + }, + { + "epoch": 2.91, + "grad_norm": 1.3678183555603027, + "learning_rate": 1.2472894078398665e-05, + "loss": 0.8593, + "step": 3009 + }, + { + "epoch": 2.91, + "grad_norm": 1.038821816444397, + "learning_rate": 1.2468723936613845e-05, + "loss": 0.7619, + "step": 3010 + }, + { + "epoch": 2.91, + "grad_norm": 0.9451192617416382, + "learning_rate": 1.2464553794829025e-05, + "loss": 0.7227, + "step": 3011 + }, + { + "epoch": 2.91, + "grad_norm": 1.0573679208755493, + "learning_rate": 1.2460383653044203e-05, + "loss": 0.716, + "step": 3012 + }, + { + "epoch": 2.92, + "grad_norm": 1.4460304975509644, + "learning_rate": 1.2456213511259383e-05, + "loss": 0.93, + "step": 3013 + }, + { + "epoch": 2.92, + "grad_norm": 1.2816954851150513, + "learning_rate": 1.2452043369474563e-05, + "loss": 0.8125, + "step": 3014 + }, + { + "epoch": 2.92, + "grad_norm": 1.0708842277526855, + "learning_rate": 1.2447873227689742e-05, + "loss": 0.6789, + "step": 3015 + }, + { + "epoch": 2.92, + "grad_norm": 1.2512792348861694, + "learning_rate": 1.2443703085904922e-05, + "loss": 0.7466, + "step": 3016 + }, + { + "epoch": 2.92, + "grad_norm": 1.228427529335022, + "learning_rate": 1.2439532944120102e-05, + "loss": 0.7453, + "step": 3017 + }, + { + "epoch": 2.92, + "grad_norm": 0.9310507774353027, + "learning_rate": 1.243536280233528e-05, + "loss": 0.8435, + "step": 3018 + }, + { + "epoch": 2.92, + "grad_norm": 1.0072879791259766, + "learning_rate": 1.243119266055046e-05, + "loss": 0.7963, + "step": 3019 + }, + { + "epoch": 2.92, + "grad_norm": 1.1436797380447388, + "learning_rate": 1.2427022518765639e-05, + "loss": 0.5735, + "step": 3020 + }, + { + "epoch": 2.92, + "grad_norm": 1.3681470155715942, + "learning_rate": 1.2422852376980817e-05, + "loss": 1.0026, + "step": 3021 + }, + { + "epoch": 2.92, + "grad_norm": 1.094900131225586, + "learning_rate": 1.2418682235195997e-05, + "loss": 0.9181, + "step": 3022 + }, + { + "epoch": 2.93, + "grad_norm": 1.0876237154006958, + "learning_rate": 1.2414512093411177e-05, + "loss": 0.7428, + "step": 3023 + }, + { + "epoch": 2.93, + "grad_norm": 0.9946409463882446, + "learning_rate": 1.2410341951626355e-05, + "loss": 0.8567, + "step": 3024 + }, + { + "epoch": 2.93, + "grad_norm": 1.1546865701675415, + "learning_rate": 1.2406171809841535e-05, + "loss": 0.6416, + "step": 3025 + }, + { + "epoch": 2.93, + "grad_norm": 1.0324201583862305, + "learning_rate": 1.2402001668056715e-05, + "loss": 0.8069, + "step": 3026 + }, + { + "epoch": 2.93, + "grad_norm": 1.2249302864074707, + "learning_rate": 1.2397831526271894e-05, + "loss": 0.8944, + "step": 3027 + }, + { + "epoch": 2.93, + "grad_norm": 1.0357005596160889, + "learning_rate": 1.2393661384487074e-05, + "loss": 0.874, + "step": 3028 + }, + { + "epoch": 2.93, + "grad_norm": 1.270063877105713, + "learning_rate": 1.2389491242702254e-05, + "loss": 0.7789, + "step": 3029 + }, + { + "epoch": 2.93, + "grad_norm": 1.2423442602157593, + "learning_rate": 1.2385321100917432e-05, + "loss": 0.7947, + "step": 3030 + }, + { + "epoch": 2.93, + "grad_norm": 1.1018481254577637, + "learning_rate": 1.238115095913261e-05, + "loss": 0.6639, + "step": 3031 + }, + { + "epoch": 2.93, + "grad_norm": 1.2056713104248047, + "learning_rate": 1.237698081734779e-05, + "loss": 1.0062, + "step": 3032 + }, + { + "epoch": 2.93, + "grad_norm": 1.1301981210708618, + "learning_rate": 1.2372810675562969e-05, + "loss": 0.7844, + "step": 3033 + }, + { + "epoch": 2.94, + "grad_norm": 0.863381564617157, + "learning_rate": 1.2368640533778149e-05, + "loss": 0.6276, + "step": 3034 + }, + { + "epoch": 2.94, + "grad_norm": 0.9315210580825806, + "learning_rate": 1.2364470391993329e-05, + "loss": 0.6685, + "step": 3035 + }, + { + "epoch": 2.94, + "grad_norm": 1.191622257232666, + "learning_rate": 1.2360300250208507e-05, + "loss": 0.8425, + "step": 3036 + }, + { + "epoch": 2.94, + "grad_norm": 1.063096046447754, + "learning_rate": 1.2356130108423687e-05, + "loss": 0.7942, + "step": 3037 + }, + { + "epoch": 2.94, + "grad_norm": 1.0077861547470093, + "learning_rate": 1.2351959966638867e-05, + "loss": 0.6582, + "step": 3038 + }, + { + "epoch": 2.94, + "grad_norm": 0.9887157678604126, + "learning_rate": 1.2347789824854046e-05, + "loss": 0.6519, + "step": 3039 + }, + { + "epoch": 2.94, + "grad_norm": 1.119428277015686, + "learning_rate": 1.2343619683069226e-05, + "loss": 0.6829, + "step": 3040 + }, + { + "epoch": 2.94, + "grad_norm": 1.360180377960205, + "learning_rate": 1.2339449541284406e-05, + "loss": 0.8045, + "step": 3041 + }, + { + "epoch": 2.94, + "grad_norm": 1.0610947608947754, + "learning_rate": 1.2335279399499582e-05, + "loss": 0.7798, + "step": 3042 + }, + { + "epoch": 2.94, + "grad_norm": 1.1289516687393188, + "learning_rate": 1.2331109257714762e-05, + "loss": 0.7918, + "step": 3043 + }, + { + "epoch": 2.95, + "grad_norm": 0.9875333905220032, + "learning_rate": 1.2326939115929942e-05, + "loss": 0.7375, + "step": 3044 + }, + { + "epoch": 2.95, + "grad_norm": 1.1864285469055176, + "learning_rate": 1.232276897414512e-05, + "loss": 0.7995, + "step": 3045 + }, + { + "epoch": 2.95, + "grad_norm": 1.0463160276412964, + "learning_rate": 1.23185988323603e-05, + "loss": 0.7161, + "step": 3046 + }, + { + "epoch": 2.95, + "grad_norm": 1.065520167350769, + "learning_rate": 1.231442869057548e-05, + "loss": 0.858, + "step": 3047 + }, + { + "epoch": 2.95, + "grad_norm": 1.010031819343567, + "learning_rate": 1.231025854879066e-05, + "loss": 0.7777, + "step": 3048 + }, + { + "epoch": 2.95, + "grad_norm": 0.9578259587287903, + "learning_rate": 1.230608840700584e-05, + "loss": 0.7283, + "step": 3049 + }, + { + "epoch": 2.95, + "grad_norm": 0.9351388812065125, + "learning_rate": 1.230191826522102e-05, + "loss": 0.7382, + "step": 3050 + }, + { + "epoch": 2.95, + "grad_norm": 1.047263503074646, + "learning_rate": 1.2297748123436198e-05, + "loss": 0.9232, + "step": 3051 + }, + { + "epoch": 2.95, + "grad_norm": 1.0473809242248535, + "learning_rate": 1.2293577981651378e-05, + "loss": 0.6634, + "step": 3052 + }, + { + "epoch": 2.95, + "grad_norm": 0.9520713090896606, + "learning_rate": 1.2289407839866556e-05, + "loss": 0.8747, + "step": 3053 + }, + { + "epoch": 2.96, + "grad_norm": 1.191543459892273, + "learning_rate": 1.2285237698081734e-05, + "loss": 0.9448, + "step": 3054 + }, + { + "epoch": 2.96, + "grad_norm": 1.0252786874771118, + "learning_rate": 1.2281067556296914e-05, + "loss": 0.7491, + "step": 3055 + }, + { + "epoch": 2.96, + "grad_norm": 1.3725627660751343, + "learning_rate": 1.2276897414512094e-05, + "loss": 0.9492, + "step": 3056 + }, + { + "epoch": 2.96, + "grad_norm": 1.0086253881454468, + "learning_rate": 1.2272727272727273e-05, + "loss": 0.886, + "step": 3057 + }, + { + "epoch": 2.96, + "grad_norm": 1.1088051795959473, + "learning_rate": 1.2268557130942453e-05, + "loss": 0.6875, + "step": 3058 + }, + { + "epoch": 2.96, + "grad_norm": 1.0585017204284668, + "learning_rate": 1.2264386989157633e-05, + "loss": 0.7512, + "step": 3059 + }, + { + "epoch": 2.96, + "grad_norm": 1.4700901508331299, + "learning_rate": 1.2260216847372811e-05, + "loss": 0.7477, + "step": 3060 + }, + { + "epoch": 2.96, + "grad_norm": 1.0440226793289185, + "learning_rate": 1.2256046705587991e-05, + "loss": 0.8848, + "step": 3061 + }, + { + "epoch": 2.96, + "grad_norm": 1.2762154340744019, + "learning_rate": 1.2251876563803171e-05, + "loss": 0.7058, + "step": 3062 + }, + { + "epoch": 2.96, + "grad_norm": 1.3675118684768677, + "learning_rate": 1.224770642201835e-05, + "loss": 0.7938, + "step": 3063 + }, + { + "epoch": 2.96, + "grad_norm": 1.107913613319397, + "learning_rate": 1.2243536280233528e-05, + "loss": 0.7387, + "step": 3064 + }, + { + "epoch": 2.97, + "grad_norm": 1.0426727533340454, + "learning_rate": 1.2239366138448708e-05, + "loss": 0.6806, + "step": 3065 + }, + { + "epoch": 2.97, + "grad_norm": 1.1301614046096802, + "learning_rate": 1.2235195996663886e-05, + "loss": 1.0033, + "step": 3066 + }, + { + "epoch": 2.97, + "grad_norm": 1.4832754135131836, + "learning_rate": 1.2231025854879066e-05, + "loss": 0.7841, + "step": 3067 + }, + { + "epoch": 2.97, + "grad_norm": 0.9917944669723511, + "learning_rate": 1.2226855713094246e-05, + "loss": 0.7744, + "step": 3068 + }, + { + "epoch": 2.97, + "grad_norm": 1.2754501104354858, + "learning_rate": 1.2222685571309425e-05, + "loss": 0.6216, + "step": 3069 + }, + { + "epoch": 2.97, + "grad_norm": 1.2075879573822021, + "learning_rate": 1.2218515429524605e-05, + "loss": 0.6349, + "step": 3070 + }, + { + "epoch": 2.97, + "grad_norm": 0.9997736215591431, + "learning_rate": 1.2214345287739785e-05, + "loss": 0.7959, + "step": 3071 + }, + { + "epoch": 2.97, + "grad_norm": 0.9662615656852722, + "learning_rate": 1.2210175145954963e-05, + "loss": 0.8179, + "step": 3072 + }, + { + "epoch": 2.97, + "grad_norm": 1.3078581094741821, + "learning_rate": 1.2206005004170143e-05, + "loss": 0.8373, + "step": 3073 + }, + { + "epoch": 2.97, + "grad_norm": 1.290023684501648, + "learning_rate": 1.2201834862385323e-05, + "loss": 0.8505, + "step": 3074 + }, + { + "epoch": 2.98, + "grad_norm": 0.8792833089828491, + "learning_rate": 1.21976647206005e-05, + "loss": 0.65, + "step": 3075 + }, + { + "epoch": 2.98, + "grad_norm": 0.9692551493644714, + "learning_rate": 1.219349457881568e-05, + "loss": 0.6735, + "step": 3076 + }, + { + "epoch": 2.98, + "grad_norm": 1.0831763744354248, + "learning_rate": 1.218932443703086e-05, + "loss": 0.7884, + "step": 3077 + }, + { + "epoch": 2.98, + "grad_norm": 1.2194184064865112, + "learning_rate": 1.2185154295246038e-05, + "loss": 0.9213, + "step": 3078 + }, + { + "epoch": 2.98, + "grad_norm": 1.0239665508270264, + "learning_rate": 1.2180984153461218e-05, + "loss": 0.723, + "step": 3079 + }, + { + "epoch": 2.98, + "grad_norm": 1.1858700513839722, + "learning_rate": 1.2176814011676398e-05, + "loss": 0.7594, + "step": 3080 + }, + { + "epoch": 2.98, + "grad_norm": 1.1054250001907349, + "learning_rate": 1.2172643869891577e-05, + "loss": 0.6723, + "step": 3081 + }, + { + "epoch": 2.98, + "grad_norm": 1.1830312013626099, + "learning_rate": 1.2168473728106757e-05, + "loss": 0.6662, + "step": 3082 + }, + { + "epoch": 2.98, + "grad_norm": 1.3367156982421875, + "learning_rate": 1.2164303586321937e-05, + "loss": 0.686, + "step": 3083 + }, + { + "epoch": 2.98, + "grad_norm": 1.384082317352295, + "learning_rate": 1.2160133444537115e-05, + "loss": 0.8121, + "step": 3084 + }, + { + "epoch": 2.99, + "grad_norm": 1.128053069114685, + "learning_rate": 1.2155963302752295e-05, + "loss": 0.7576, + "step": 3085 + }, + { + "epoch": 2.99, + "grad_norm": 0.936526358127594, + "learning_rate": 1.2151793160967473e-05, + "loss": 0.7828, + "step": 3086 + }, + { + "epoch": 2.99, + "grad_norm": 1.0597058534622192, + "learning_rate": 1.2147623019182652e-05, + "loss": 0.6795, + "step": 3087 + }, + { + "epoch": 2.99, + "grad_norm": 1.3651597499847412, + "learning_rate": 1.2143452877397832e-05, + "loss": 0.7318, + "step": 3088 + }, + { + "epoch": 2.99, + "grad_norm": 1.3782498836517334, + "learning_rate": 1.2139282735613012e-05, + "loss": 0.8455, + "step": 3089 + }, + { + "epoch": 2.99, + "grad_norm": 1.1808693408966064, + "learning_rate": 1.213511259382819e-05, + "loss": 0.835, + "step": 3090 + }, + { + "epoch": 2.99, + "grad_norm": 1.006447672843933, + "learning_rate": 1.213094245204337e-05, + "loss": 0.7341, + "step": 3091 + }, + { + "epoch": 2.99, + "grad_norm": 0.8787515163421631, + "learning_rate": 1.212677231025855e-05, + "loss": 0.7691, + "step": 3092 + }, + { + "epoch": 2.99, + "grad_norm": 0.9759172797203064, + "learning_rate": 1.2122602168473729e-05, + "loss": 0.8682, + "step": 3093 + }, + { + "epoch": 2.99, + "grad_norm": 0.9055489897727966, + "learning_rate": 1.2118432026688909e-05, + "loss": 0.7662, + "step": 3094 + }, + { + "epoch": 2.99, + "grad_norm": 1.107927680015564, + "learning_rate": 1.2114261884904089e-05, + "loss": 0.7179, + "step": 3095 + }, + { + "epoch": 3.0, + "grad_norm": 1.0260263681411743, + "learning_rate": 1.2110091743119267e-05, + "loss": 0.7617, + "step": 3096 + }, + { + "epoch": 3.0, + "grad_norm": 1.3138796091079712, + "learning_rate": 1.2105921601334445e-05, + "loss": 0.8302, + "step": 3097 + }, + { + "epoch": 3.0, + "grad_norm": 1.2815160751342773, + "learning_rate": 1.2101751459549625e-05, + "loss": 0.8708, + "step": 3098 + }, + { + "epoch": 3.0, + "grad_norm": 0.7362232804298401, + "learning_rate": 1.2097581317764804e-05, + "loss": 0.6188, + "step": 3099 + }, + { + "epoch": 3.0, + "grad_norm": 1.3997468948364258, + "learning_rate": 1.2093411175979984e-05, + "loss": 0.8976, + "step": 3100 + }, + { + "epoch": 3.0, + "grad_norm": 1.1959848403930664, + "learning_rate": 1.2089241034195164e-05, + "loss": 0.7688, + "step": 3101 + }, + { + "epoch": 3.0, + "grad_norm": 1.161894679069519, + "learning_rate": 1.2085070892410342e-05, + "loss": 0.7745, + "step": 3102 + }, + { + "epoch": 3.0, + "grad_norm": 1.0665125846862793, + "learning_rate": 1.2080900750625522e-05, + "loss": 0.7202, + "step": 3103 + }, + { + "epoch": 3.0, + "grad_norm": 1.1533799171447754, + "learning_rate": 1.2076730608840702e-05, + "loss": 0.9159, + "step": 3104 + }, + { + "epoch": 3.0, + "grad_norm": 1.1835631132125854, + "learning_rate": 1.207256046705588e-05, + "loss": 0.7914, + "step": 3105 + }, + { + "epoch": 3.01, + "grad_norm": 1.195507526397705, + "learning_rate": 1.206839032527106e-05, + "loss": 0.7561, + "step": 3106 + }, + { + "epoch": 3.01, + "grad_norm": 0.9535657167434692, + "learning_rate": 1.2064220183486239e-05, + "loss": 0.7956, + "step": 3107 + }, + { + "epoch": 3.01, + "grad_norm": 0.994099497795105, + "learning_rate": 1.2060050041701417e-05, + "loss": 0.7672, + "step": 3108 + }, + { + "epoch": 3.01, + "grad_norm": 1.235750675201416, + "learning_rate": 1.2055879899916597e-05, + "loss": 0.7141, + "step": 3109 + }, + { + "epoch": 3.01, + "grad_norm": 0.9944607019424438, + "learning_rate": 1.2051709758131777e-05, + "loss": 0.624, + "step": 3110 + }, + { + "epoch": 3.01, + "grad_norm": 1.014190673828125, + "learning_rate": 1.2047539616346956e-05, + "loss": 0.7399, + "step": 3111 + }, + { + "epoch": 3.01, + "grad_norm": 0.9740110635757446, + "learning_rate": 1.2043369474562136e-05, + "loss": 0.864, + "step": 3112 + }, + { + "epoch": 3.01, + "grad_norm": 1.0639153718948364, + "learning_rate": 1.2039199332777316e-05, + "loss": 0.7062, + "step": 3113 + }, + { + "epoch": 3.01, + "grad_norm": 1.0522348880767822, + "learning_rate": 1.2035029190992494e-05, + "loss": 0.6025, + "step": 3114 + }, + { + "epoch": 3.01, + "grad_norm": 1.1692399978637695, + "learning_rate": 1.2030859049207674e-05, + "loss": 0.7637, + "step": 3115 + }, + { + "epoch": 3.01, + "grad_norm": 1.0824507474899292, + "learning_rate": 1.2026688907422854e-05, + "loss": 0.7185, + "step": 3116 + }, + { + "epoch": 3.02, + "grad_norm": 1.295857548713684, + "learning_rate": 1.2022518765638033e-05, + "loss": 0.688, + "step": 3117 + }, + { + "epoch": 3.02, + "grad_norm": 1.3810677528381348, + "learning_rate": 1.2018348623853213e-05, + "loss": 0.7539, + "step": 3118 + }, + { + "epoch": 3.02, + "grad_norm": 1.003240942955017, + "learning_rate": 1.2014178482068391e-05, + "loss": 0.6637, + "step": 3119 + }, + { + "epoch": 3.02, + "grad_norm": 1.0012834072113037, + "learning_rate": 1.201000834028357e-05, + "loss": 0.6153, + "step": 3120 + }, + { + "epoch": 3.02, + "grad_norm": 1.3184245824813843, + "learning_rate": 1.200583819849875e-05, + "loss": 0.8524, + "step": 3121 + }, + { + "epoch": 3.02, + "grad_norm": 0.9816140532493591, + "learning_rate": 1.200166805671393e-05, + "loss": 0.6306, + "step": 3122 + }, + { + "epoch": 3.02, + "grad_norm": 1.8915208578109741, + "learning_rate": 1.1997497914929108e-05, + "loss": 0.6339, + "step": 3123 + }, + { + "epoch": 3.02, + "grad_norm": 1.3101775646209717, + "learning_rate": 1.1993327773144288e-05, + "loss": 0.6759, + "step": 3124 + }, + { + "epoch": 3.02, + "grad_norm": 1.115962266921997, + "learning_rate": 1.1989157631359468e-05, + "loss": 0.6816, + "step": 3125 + }, + { + "epoch": 3.02, + "grad_norm": 1.248052716255188, + "learning_rate": 1.1984987489574646e-05, + "loss": 0.7884, + "step": 3126 + }, + { + "epoch": 3.03, + "grad_norm": 1.063430905342102, + "learning_rate": 1.1980817347789826e-05, + "loss": 0.5605, + "step": 3127 + }, + { + "epoch": 3.03, + "grad_norm": 1.0415267944335938, + "learning_rate": 1.1976647206005004e-05, + "loss": 0.7655, + "step": 3128 + }, + { + "epoch": 3.03, + "grad_norm": 1.1343778371810913, + "learning_rate": 1.1972477064220184e-05, + "loss": 0.6113, + "step": 3129 + }, + { + "epoch": 3.03, + "grad_norm": 1.2976269721984863, + "learning_rate": 1.1968306922435363e-05, + "loss": 0.8483, + "step": 3130 + }, + { + "epoch": 3.03, + "grad_norm": 0.9503476619720459, + "learning_rate": 1.1964136780650543e-05, + "loss": 0.7105, + "step": 3131 + }, + { + "epoch": 3.03, + "grad_norm": 1.0131187438964844, + "learning_rate": 1.1959966638865721e-05, + "loss": 0.7041, + "step": 3132 + }, + { + "epoch": 3.03, + "grad_norm": 1.1790024042129517, + "learning_rate": 1.1955796497080901e-05, + "loss": 0.6306, + "step": 3133 + }, + { + "epoch": 3.03, + "grad_norm": 1.0622471570968628, + "learning_rate": 1.1951626355296081e-05, + "loss": 0.7699, + "step": 3134 + }, + { + "epoch": 3.03, + "grad_norm": 1.123382568359375, + "learning_rate": 1.194745621351126e-05, + "loss": 0.6603, + "step": 3135 + }, + { + "epoch": 3.03, + "grad_norm": 1.2708872556686401, + "learning_rate": 1.194328607172644e-05, + "loss": 0.5941, + "step": 3136 + }, + { + "epoch": 3.04, + "grad_norm": 1.224805235862732, + "learning_rate": 1.193911592994162e-05, + "loss": 0.9069, + "step": 3137 + }, + { + "epoch": 3.04, + "grad_norm": 1.0035231113433838, + "learning_rate": 1.1934945788156798e-05, + "loss": 0.555, + "step": 3138 + }, + { + "epoch": 3.04, + "grad_norm": 1.4581968784332275, + "learning_rate": 1.1930775646371978e-05, + "loss": 0.6956, + "step": 3139 + }, + { + "epoch": 3.04, + "grad_norm": 0.9744970202445984, + "learning_rate": 1.1926605504587156e-05, + "loss": 0.6884, + "step": 3140 + }, + { + "epoch": 3.04, + "grad_norm": 1.4142813682556152, + "learning_rate": 1.1922435362802335e-05, + "loss": 0.7292, + "step": 3141 + }, + { + "epoch": 3.04, + "grad_norm": 1.4209671020507812, + "learning_rate": 1.1918265221017515e-05, + "loss": 0.6784, + "step": 3142 + }, + { + "epoch": 3.04, + "grad_norm": 1.2037233114242554, + "learning_rate": 1.1914095079232695e-05, + "loss": 0.7394, + "step": 3143 + }, + { + "epoch": 3.04, + "grad_norm": 1.495166301727295, + "learning_rate": 1.1909924937447873e-05, + "loss": 0.8081, + "step": 3144 + }, + { + "epoch": 3.04, + "grad_norm": 1.2146245241165161, + "learning_rate": 1.1905754795663053e-05, + "loss": 0.8138, + "step": 3145 + }, + { + "epoch": 3.04, + "grad_norm": 1.210348129272461, + "learning_rate": 1.1901584653878233e-05, + "loss": 0.7309, + "step": 3146 + }, + { + "epoch": 3.04, + "grad_norm": 0.89698725938797, + "learning_rate": 1.1897414512093412e-05, + "loss": 0.6199, + "step": 3147 + }, + { + "epoch": 3.05, + "grad_norm": 1.1466608047485352, + "learning_rate": 1.1893244370308592e-05, + "loss": 0.9122, + "step": 3148 + }, + { + "epoch": 3.05, + "grad_norm": 1.2042369842529297, + "learning_rate": 1.188907422852377e-05, + "loss": 0.7966, + "step": 3149 + }, + { + "epoch": 3.05, + "grad_norm": 1.3219712972640991, + "learning_rate": 1.188490408673895e-05, + "loss": 0.6718, + "step": 3150 + }, + { + "epoch": 3.05, + "grad_norm": 1.2861446142196655, + "learning_rate": 1.188073394495413e-05, + "loss": 0.5506, + "step": 3151 + }, + { + "epoch": 3.05, + "grad_norm": 1.157288670539856, + "learning_rate": 1.1876563803169308e-05, + "loss": 0.7712, + "step": 3152 + }, + { + "epoch": 3.05, + "grad_norm": 1.078233242034912, + "learning_rate": 1.1872393661384487e-05, + "loss": 0.6353, + "step": 3153 + }, + { + "epoch": 3.05, + "grad_norm": 1.1989777088165283, + "learning_rate": 1.1868223519599667e-05, + "loss": 0.7074, + "step": 3154 + }, + { + "epoch": 3.05, + "grad_norm": 1.2606451511383057, + "learning_rate": 1.1864053377814847e-05, + "loss": 0.7956, + "step": 3155 + }, + { + "epoch": 3.05, + "grad_norm": 1.0449250936508179, + "learning_rate": 1.1859883236030025e-05, + "loss": 0.7048, + "step": 3156 + }, + { + "epoch": 3.05, + "grad_norm": 1.2699267864227295, + "learning_rate": 1.1855713094245205e-05, + "loss": 0.7136, + "step": 3157 + }, + { + "epoch": 3.06, + "grad_norm": 1.2244712114334106, + "learning_rate": 1.1851542952460385e-05, + "loss": 0.6536, + "step": 3158 + }, + { + "epoch": 3.06, + "grad_norm": 1.1166603565216064, + "learning_rate": 1.1847372810675564e-05, + "loss": 0.8708, + "step": 3159 + }, + { + "epoch": 3.06, + "grad_norm": 1.1476706266403198, + "learning_rate": 1.1843202668890744e-05, + "loss": 0.8007, + "step": 3160 + }, + { + "epoch": 3.06, + "grad_norm": 1.7055881023406982, + "learning_rate": 1.1839032527105922e-05, + "loss": 0.7564, + "step": 3161 + }, + { + "epoch": 3.06, + "grad_norm": 1.3506639003753662, + "learning_rate": 1.1834862385321102e-05, + "loss": 0.8376, + "step": 3162 + }, + { + "epoch": 3.06, + "grad_norm": 1.1865992546081543, + "learning_rate": 1.183069224353628e-05, + "loss": 1.0005, + "step": 3163 + }, + { + "epoch": 3.06, + "grad_norm": 1.372769832611084, + "learning_rate": 1.182652210175146e-05, + "loss": 0.7519, + "step": 3164 + }, + { + "epoch": 3.06, + "grad_norm": 1.202907681465149, + "learning_rate": 1.1822351959966639e-05, + "loss": 0.6703, + "step": 3165 + }, + { + "epoch": 3.06, + "grad_norm": 1.507893443107605, + "learning_rate": 1.1818181818181819e-05, + "loss": 0.6624, + "step": 3166 + }, + { + "epoch": 3.06, + "grad_norm": 1.3672096729278564, + "learning_rate": 1.1814011676396999e-05, + "loss": 0.6845, + "step": 3167 + }, + { + "epoch": 3.07, + "grad_norm": 1.0586228370666504, + "learning_rate": 1.1809841534612177e-05, + "loss": 0.6801, + "step": 3168 + }, + { + "epoch": 3.07, + "grad_norm": 0.8661351203918457, + "learning_rate": 1.1805671392827357e-05, + "loss": 0.591, + "step": 3169 + }, + { + "epoch": 3.07, + "grad_norm": 1.038102388381958, + "learning_rate": 1.1801501251042537e-05, + "loss": 0.7926, + "step": 3170 + }, + { + "epoch": 3.07, + "grad_norm": 1.1683626174926758, + "learning_rate": 1.1797331109257715e-05, + "loss": 0.6006, + "step": 3171 + }, + { + "epoch": 3.07, + "grad_norm": 1.1106253862380981, + "learning_rate": 1.1793160967472896e-05, + "loss": 0.7019, + "step": 3172 + }, + { + "epoch": 3.07, + "grad_norm": 1.1502753496170044, + "learning_rate": 1.1788990825688074e-05, + "loss": 0.6601, + "step": 3173 + }, + { + "epoch": 3.07, + "grad_norm": 1.1901448965072632, + "learning_rate": 1.1784820683903252e-05, + "loss": 0.7255, + "step": 3174 + }, + { + "epoch": 3.07, + "grad_norm": 1.3774100542068481, + "learning_rate": 1.1780650542118432e-05, + "loss": 0.731, + "step": 3175 + }, + { + "epoch": 3.07, + "grad_norm": 1.0183756351470947, + "learning_rate": 1.1776480400333612e-05, + "loss": 0.5829, + "step": 3176 + }, + { + "epoch": 3.07, + "grad_norm": 1.3123226165771484, + "learning_rate": 1.177231025854879e-05, + "loss": 0.6625, + "step": 3177 + }, + { + "epoch": 3.07, + "grad_norm": 1.1603424549102783, + "learning_rate": 1.176814011676397e-05, + "loss": 0.6779, + "step": 3178 + }, + { + "epoch": 3.08, + "grad_norm": 0.9390170574188232, + "learning_rate": 1.176396997497915e-05, + "loss": 0.7167, + "step": 3179 + }, + { + "epoch": 3.08, + "grad_norm": 0.9851157069206238, + "learning_rate": 1.1759799833194329e-05, + "loss": 0.7626, + "step": 3180 + }, + { + "epoch": 3.08, + "grad_norm": 1.2829152345657349, + "learning_rate": 1.1755629691409509e-05, + "loss": 0.6149, + "step": 3181 + }, + { + "epoch": 3.08, + "grad_norm": 1.1150360107421875, + "learning_rate": 1.1751459549624687e-05, + "loss": 0.6953, + "step": 3182 + }, + { + "epoch": 3.08, + "grad_norm": 1.5720709562301636, + "learning_rate": 1.1747289407839867e-05, + "loss": 0.7633, + "step": 3183 + }, + { + "epoch": 3.08, + "grad_norm": 1.0386683940887451, + "learning_rate": 1.1743119266055047e-05, + "loss": 0.7953, + "step": 3184 + }, + { + "epoch": 3.08, + "grad_norm": 0.9080824255943298, + "learning_rate": 1.1738949124270226e-05, + "loss": 0.7657, + "step": 3185 + }, + { + "epoch": 3.08, + "grad_norm": 1.2492918968200684, + "learning_rate": 1.1734778982485404e-05, + "loss": 0.6641, + "step": 3186 + }, + { + "epoch": 3.08, + "grad_norm": 0.8783729076385498, + "learning_rate": 1.1730608840700584e-05, + "loss": 0.8305, + "step": 3187 + }, + { + "epoch": 3.08, + "grad_norm": 1.0769270658493042, + "learning_rate": 1.1726438698915764e-05, + "loss": 0.6373, + "step": 3188 + }, + { + "epoch": 3.09, + "grad_norm": 0.9104419350624084, + "learning_rate": 1.1722268557130943e-05, + "loss": 0.7511, + "step": 3189 + }, + { + "epoch": 3.09, + "grad_norm": 1.2244678735733032, + "learning_rate": 1.1718098415346123e-05, + "loss": 0.5847, + "step": 3190 + }, + { + "epoch": 3.09, + "grad_norm": 1.139946460723877, + "learning_rate": 1.1713928273561303e-05, + "loss": 0.6609, + "step": 3191 + }, + { + "epoch": 3.09, + "grad_norm": 1.1527796983718872, + "learning_rate": 1.1709758131776481e-05, + "loss": 0.7893, + "step": 3192 + }, + { + "epoch": 3.09, + "grad_norm": 1.2792586088180542, + "learning_rate": 1.1705587989991661e-05, + "loss": 0.7077, + "step": 3193 + }, + { + "epoch": 3.09, + "grad_norm": 1.7594659328460693, + "learning_rate": 1.170141784820684e-05, + "loss": 0.7908, + "step": 3194 + }, + { + "epoch": 3.09, + "grad_norm": 0.8258441686630249, + "learning_rate": 1.169724770642202e-05, + "loss": 0.5861, + "step": 3195 + }, + { + "epoch": 3.09, + "grad_norm": 1.1048345565795898, + "learning_rate": 1.1693077564637198e-05, + "loss": 0.7191, + "step": 3196 + }, + { + "epoch": 3.09, + "grad_norm": 1.8866416215896606, + "learning_rate": 1.1688907422852378e-05, + "loss": 0.5792, + "step": 3197 + }, + { + "epoch": 3.09, + "grad_norm": 1.2641773223876953, + "learning_rate": 1.1684737281067556e-05, + "loss": 0.8419, + "step": 3198 + }, + { + "epoch": 3.1, + "grad_norm": 1.423106074333191, + "learning_rate": 1.1680567139282736e-05, + "loss": 0.9026, + "step": 3199 + }, + { + "epoch": 3.1, + "grad_norm": 1.3765684366226196, + "learning_rate": 1.1676396997497916e-05, + "loss": 0.7982, + "step": 3200 + }, + { + "epoch": 3.1, + "grad_norm": 1.383523941040039, + "learning_rate": 1.1672226855713095e-05, + "loss": 0.6969, + "step": 3201 + }, + { + "epoch": 3.1, + "grad_norm": 1.086730718612671, + "learning_rate": 1.1668056713928275e-05, + "loss": 0.6888, + "step": 3202 + }, + { + "epoch": 3.1, + "grad_norm": 1.153071403503418, + "learning_rate": 1.1663886572143453e-05, + "loss": 0.7826, + "step": 3203 + }, + { + "epoch": 3.1, + "grad_norm": 1.1363312005996704, + "learning_rate": 1.1659716430358633e-05, + "loss": 0.6431, + "step": 3204 + }, + { + "epoch": 3.1, + "grad_norm": 1.2717450857162476, + "learning_rate": 1.1655546288573813e-05, + "loss": 0.5969, + "step": 3205 + }, + { + "epoch": 3.1, + "grad_norm": 1.1417663097381592, + "learning_rate": 1.1651376146788991e-05, + "loss": 0.6747, + "step": 3206 + }, + { + "epoch": 3.1, + "grad_norm": 1.2456254959106445, + "learning_rate": 1.164720600500417e-05, + "loss": 0.6171, + "step": 3207 + }, + { + "epoch": 3.1, + "grad_norm": 1.1771053075790405, + "learning_rate": 1.164303586321935e-05, + "loss": 0.5973, + "step": 3208 + }, + { + "epoch": 3.1, + "grad_norm": 1.0299570560455322, + "learning_rate": 1.163886572143453e-05, + "loss": 0.7783, + "step": 3209 + }, + { + "epoch": 3.11, + "grad_norm": 1.4078141450881958, + "learning_rate": 1.1634695579649708e-05, + "loss": 0.7157, + "step": 3210 + }, + { + "epoch": 3.11, + "grad_norm": 1.0649255514144897, + "learning_rate": 1.1630525437864888e-05, + "loss": 0.7021, + "step": 3211 + }, + { + "epoch": 3.11, + "grad_norm": 1.2134660482406616, + "learning_rate": 1.1626355296080068e-05, + "loss": 0.7837, + "step": 3212 + }, + { + "epoch": 3.11, + "grad_norm": 1.4087175130844116, + "learning_rate": 1.1622185154295246e-05, + "loss": 0.9266, + "step": 3213 + }, + { + "epoch": 3.11, + "grad_norm": 1.3690346479415894, + "learning_rate": 1.1618015012510427e-05, + "loss": 0.6973, + "step": 3214 + }, + { + "epoch": 3.11, + "grad_norm": 1.0998339653015137, + "learning_rate": 1.1613844870725605e-05, + "loss": 0.6504, + "step": 3215 + }, + { + "epoch": 3.11, + "grad_norm": 1.1038250923156738, + "learning_rate": 1.1609674728940785e-05, + "loss": 0.6989, + "step": 3216 + }, + { + "epoch": 3.11, + "grad_norm": 1.1213037967681885, + "learning_rate": 1.1605504587155965e-05, + "loss": 0.7214, + "step": 3217 + }, + { + "epoch": 3.11, + "grad_norm": 1.2067272663116455, + "learning_rate": 1.1601334445371143e-05, + "loss": 0.8201, + "step": 3218 + }, + { + "epoch": 3.11, + "grad_norm": 1.98118257522583, + "learning_rate": 1.1597164303586322e-05, + "loss": 0.6148, + "step": 3219 + }, + { + "epoch": 3.12, + "grad_norm": 1.2058942317962646, + "learning_rate": 1.1592994161801502e-05, + "loss": 0.6153, + "step": 3220 + }, + { + "epoch": 3.12, + "grad_norm": 1.4307641983032227, + "learning_rate": 1.1588824020016682e-05, + "loss": 0.6797, + "step": 3221 + }, + { + "epoch": 3.12, + "grad_norm": 1.0934830904006958, + "learning_rate": 1.158465387823186e-05, + "loss": 0.7091, + "step": 3222 + }, + { + "epoch": 3.12, + "grad_norm": 1.8597009181976318, + "learning_rate": 1.158048373644704e-05, + "loss": 0.7104, + "step": 3223 + }, + { + "epoch": 3.12, + "grad_norm": 1.0559728145599365, + "learning_rate": 1.1576313594662218e-05, + "loss": 0.6183, + "step": 3224 + }, + { + "epoch": 3.12, + "grad_norm": 1.4455348253250122, + "learning_rate": 1.1572143452877398e-05, + "loss": 0.7366, + "step": 3225 + }, + { + "epoch": 3.12, + "grad_norm": 1.103995442390442, + "learning_rate": 1.1567973311092578e-05, + "loss": 0.5635, + "step": 3226 + }, + { + "epoch": 3.12, + "grad_norm": 1.14092218875885, + "learning_rate": 1.1563803169307757e-05, + "loss": 0.7168, + "step": 3227 + }, + { + "epoch": 3.12, + "grad_norm": 1.125809907913208, + "learning_rate": 1.1559633027522937e-05, + "loss": 0.7188, + "step": 3228 + }, + { + "epoch": 3.12, + "grad_norm": 1.1541872024536133, + "learning_rate": 1.1555462885738115e-05, + "loss": 0.8327, + "step": 3229 + }, + { + "epoch": 3.13, + "grad_norm": 1.1878880262374878, + "learning_rate": 1.1551292743953295e-05, + "loss": 0.8089, + "step": 3230 + }, + { + "epoch": 3.13, + "grad_norm": 1.2504700422286987, + "learning_rate": 1.1547122602168474e-05, + "loss": 0.7335, + "step": 3231 + }, + { + "epoch": 3.13, + "grad_norm": 1.0725075006484985, + "learning_rate": 1.1542952460383654e-05, + "loss": 0.6189, + "step": 3232 + }, + { + "epoch": 3.13, + "grad_norm": 1.3383662700653076, + "learning_rate": 1.1538782318598834e-05, + "loss": 0.6417, + "step": 3233 + }, + { + "epoch": 3.13, + "grad_norm": 1.5360132455825806, + "learning_rate": 1.1534612176814012e-05, + "loss": 0.8597, + "step": 3234 + }, + { + "epoch": 3.13, + "grad_norm": 1.3072084188461304, + "learning_rate": 1.1530442035029192e-05, + "loss": 0.7842, + "step": 3235 + }, + { + "epoch": 3.13, + "grad_norm": 1.2421491146087646, + "learning_rate": 1.152627189324437e-05, + "loss": 0.6952, + "step": 3236 + }, + { + "epoch": 3.13, + "grad_norm": 1.0458987951278687, + "learning_rate": 1.152210175145955e-05, + "loss": 0.8233, + "step": 3237 + }, + { + "epoch": 3.13, + "grad_norm": 1.2006381750106812, + "learning_rate": 1.151793160967473e-05, + "loss": 0.6739, + "step": 3238 + }, + { + "epoch": 3.13, + "grad_norm": 1.2476036548614502, + "learning_rate": 1.1513761467889909e-05, + "loss": 0.7066, + "step": 3239 + }, + { + "epoch": 3.13, + "grad_norm": 1.2618188858032227, + "learning_rate": 1.1509591326105087e-05, + "loss": 0.752, + "step": 3240 + }, + { + "epoch": 3.14, + "grad_norm": 1.302243709564209, + "learning_rate": 1.1505421184320267e-05, + "loss": 0.7866, + "step": 3241 + }, + { + "epoch": 3.14, + "grad_norm": 1.2427616119384766, + "learning_rate": 1.1501251042535447e-05, + "loss": 0.6593, + "step": 3242 + }, + { + "epoch": 3.14, + "grad_norm": 1.4073095321655273, + "learning_rate": 1.1497080900750626e-05, + "loss": 0.7185, + "step": 3243 + }, + { + "epoch": 3.14, + "grad_norm": 1.598067283630371, + "learning_rate": 1.1492910758965806e-05, + "loss": 0.8257, + "step": 3244 + }, + { + "epoch": 3.14, + "grad_norm": 1.067767858505249, + "learning_rate": 1.1488740617180984e-05, + "loss": 0.8638, + "step": 3245 + }, + { + "epoch": 3.14, + "grad_norm": 1.256085991859436, + "learning_rate": 1.1484570475396164e-05, + "loss": 0.8165, + "step": 3246 + }, + { + "epoch": 3.14, + "grad_norm": 1.1388213634490967, + "learning_rate": 1.1480400333611344e-05, + "loss": 0.6575, + "step": 3247 + }, + { + "epoch": 3.14, + "grad_norm": 1.2170623540878296, + "learning_rate": 1.1476230191826522e-05, + "loss": 0.7292, + "step": 3248 + }, + { + "epoch": 3.14, + "grad_norm": 1.07816481590271, + "learning_rate": 1.1472060050041702e-05, + "loss": 0.6152, + "step": 3249 + }, + { + "epoch": 3.14, + "grad_norm": 1.3839792013168335, + "learning_rate": 1.1467889908256882e-05, + "loss": 0.6492, + "step": 3250 + }, + { + "epoch": 3.15, + "grad_norm": 1.230368971824646, + "learning_rate": 1.146371976647206e-05, + "loss": 0.584, + "step": 3251 + }, + { + "epoch": 3.15, + "grad_norm": 1.0888391733169556, + "learning_rate": 1.1459549624687239e-05, + "loss": 0.5848, + "step": 3252 + }, + { + "epoch": 3.15, + "grad_norm": 1.0804716348648071, + "learning_rate": 1.1455379482902419e-05, + "loss": 0.8888, + "step": 3253 + }, + { + "epoch": 3.15, + "grad_norm": 1.1284668445587158, + "learning_rate": 1.1451209341117599e-05, + "loss": 0.762, + "step": 3254 + }, + { + "epoch": 3.15, + "grad_norm": 1.244312047958374, + "learning_rate": 1.1447039199332777e-05, + "loss": 0.6616, + "step": 3255 + }, + { + "epoch": 3.15, + "grad_norm": 1.1920812129974365, + "learning_rate": 1.1442869057547958e-05, + "loss": 0.5905, + "step": 3256 + }, + { + "epoch": 3.15, + "grad_norm": 1.5419564247131348, + "learning_rate": 1.1438698915763136e-05, + "loss": 0.7983, + "step": 3257 + }, + { + "epoch": 3.15, + "grad_norm": 1.2202568054199219, + "learning_rate": 1.1434528773978316e-05, + "loss": 0.757, + "step": 3258 + }, + { + "epoch": 3.15, + "grad_norm": 1.3789610862731934, + "learning_rate": 1.1430358632193496e-05, + "loss": 0.8221, + "step": 3259 + }, + { + "epoch": 3.15, + "grad_norm": 1.289023518562317, + "learning_rate": 1.1426188490408674e-05, + "loss": 0.6762, + "step": 3260 + }, + { + "epoch": 3.16, + "grad_norm": 1.1462633609771729, + "learning_rate": 1.1422018348623854e-05, + "loss": 0.6354, + "step": 3261 + }, + { + "epoch": 3.16, + "grad_norm": 1.338168978691101, + "learning_rate": 1.1417848206839033e-05, + "loss": 0.7027, + "step": 3262 + }, + { + "epoch": 3.16, + "grad_norm": 1.2175195217132568, + "learning_rate": 1.1413678065054213e-05, + "loss": 0.7992, + "step": 3263 + }, + { + "epoch": 3.16, + "grad_norm": 1.1366231441497803, + "learning_rate": 1.1409507923269391e-05, + "loss": 0.5934, + "step": 3264 + }, + { + "epoch": 3.16, + "grad_norm": 0.9199458360671997, + "learning_rate": 1.1405337781484571e-05, + "loss": 0.6479, + "step": 3265 + }, + { + "epoch": 3.16, + "grad_norm": 1.1771986484527588, + "learning_rate": 1.140116763969975e-05, + "loss": 0.7222, + "step": 3266 + }, + { + "epoch": 3.16, + "grad_norm": 1.0597327947616577, + "learning_rate": 1.139699749791493e-05, + "loss": 0.7216, + "step": 3267 + }, + { + "epoch": 3.16, + "grad_norm": 1.1762417554855347, + "learning_rate": 1.139282735613011e-05, + "loss": 0.8565, + "step": 3268 + }, + { + "epoch": 3.16, + "grad_norm": 1.5666489601135254, + "learning_rate": 1.1388657214345288e-05, + "loss": 0.7854, + "step": 3269 + }, + { + "epoch": 3.16, + "grad_norm": 1.2026633024215698, + "learning_rate": 1.1384487072560468e-05, + "loss": 0.7129, + "step": 3270 + }, + { + "epoch": 3.16, + "grad_norm": 0.9615378975868225, + "learning_rate": 1.1380316930775648e-05, + "loss": 0.7439, + "step": 3271 + }, + { + "epoch": 3.17, + "grad_norm": 0.9021217823028564, + "learning_rate": 1.1376146788990826e-05, + "loss": 0.6624, + "step": 3272 + }, + { + "epoch": 3.17, + "grad_norm": 1.459649682044983, + "learning_rate": 1.1371976647206005e-05, + "loss": 0.7181, + "step": 3273 + }, + { + "epoch": 3.17, + "grad_norm": 1.446385383605957, + "learning_rate": 1.1367806505421185e-05, + "loss": 0.7422, + "step": 3274 + }, + { + "epoch": 3.17, + "grad_norm": 1.3447153568267822, + "learning_rate": 1.1363636363636365e-05, + "loss": 0.7428, + "step": 3275 + }, + { + "epoch": 3.17, + "grad_norm": 1.2977463006973267, + "learning_rate": 1.1359466221851543e-05, + "loss": 0.5531, + "step": 3276 + }, + { + "epoch": 3.17, + "grad_norm": 1.3001067638397217, + "learning_rate": 1.1355296080066723e-05, + "loss": 0.684, + "step": 3277 + }, + { + "epoch": 3.17, + "grad_norm": 0.9697086215019226, + "learning_rate": 1.1351125938281901e-05, + "loss": 0.6882, + "step": 3278 + }, + { + "epoch": 3.17, + "grad_norm": 1.4971201419830322, + "learning_rate": 1.1346955796497081e-05, + "loss": 0.7898, + "step": 3279 + }, + { + "epoch": 3.17, + "grad_norm": 1.437363624572754, + "learning_rate": 1.1342785654712261e-05, + "loss": 0.8547, + "step": 3280 + }, + { + "epoch": 3.17, + "grad_norm": 0.9968420267105103, + "learning_rate": 1.133861551292744e-05, + "loss": 0.7263, + "step": 3281 + }, + { + "epoch": 3.18, + "grad_norm": 1.1355323791503906, + "learning_rate": 1.133444537114262e-05, + "loss": 0.8424, + "step": 3282 + }, + { + "epoch": 3.18, + "grad_norm": 1.5121216773986816, + "learning_rate": 1.13302752293578e-05, + "loss": 0.5438, + "step": 3283 + }, + { + "epoch": 3.18, + "grad_norm": 1.0721768140792847, + "learning_rate": 1.1326105087572978e-05, + "loss": 0.8685, + "step": 3284 + }, + { + "epoch": 3.18, + "grad_norm": 1.1499862670898438, + "learning_rate": 1.1321934945788157e-05, + "loss": 0.7728, + "step": 3285 + }, + { + "epoch": 3.18, + "grad_norm": 1.206310510635376, + "learning_rate": 1.1317764804003337e-05, + "loss": 0.7517, + "step": 3286 + }, + { + "epoch": 3.18, + "grad_norm": 1.5181379318237305, + "learning_rate": 1.1313594662218515e-05, + "loss": 0.7631, + "step": 3287 + }, + { + "epoch": 3.18, + "grad_norm": 1.2266368865966797, + "learning_rate": 1.1309424520433695e-05, + "loss": 0.6491, + "step": 3288 + }, + { + "epoch": 3.18, + "grad_norm": 1.2430081367492676, + "learning_rate": 1.1305254378648875e-05, + "loss": 0.7077, + "step": 3289 + }, + { + "epoch": 3.18, + "grad_norm": 1.419384241104126, + "learning_rate": 1.1301084236864053e-05, + "loss": 0.7809, + "step": 3290 + }, + { + "epoch": 3.18, + "grad_norm": 1.0880069732666016, + "learning_rate": 1.1296914095079233e-05, + "loss": 0.7008, + "step": 3291 + }, + { + "epoch": 3.19, + "grad_norm": 1.357650637626648, + "learning_rate": 1.1292743953294413e-05, + "loss": 0.6893, + "step": 3292 + }, + { + "epoch": 3.19, + "grad_norm": 1.299135446548462, + "learning_rate": 1.1288573811509592e-05, + "loss": 0.7299, + "step": 3293 + }, + { + "epoch": 3.19, + "grad_norm": 1.3011831045150757, + "learning_rate": 1.1284403669724772e-05, + "loss": 0.6976, + "step": 3294 + }, + { + "epoch": 3.19, + "grad_norm": 1.0060980319976807, + "learning_rate": 1.128023352793995e-05, + "loss": 0.7907, + "step": 3295 + }, + { + "epoch": 3.19, + "grad_norm": 1.269822359085083, + "learning_rate": 1.127606338615513e-05, + "loss": 0.6656, + "step": 3296 + }, + { + "epoch": 3.19, + "grad_norm": 1.283442735671997, + "learning_rate": 1.1271893244370308e-05, + "loss": 0.836, + "step": 3297 + }, + { + "epoch": 3.19, + "grad_norm": 1.4523227214813232, + "learning_rate": 1.1267723102585489e-05, + "loss": 0.683, + "step": 3298 + }, + { + "epoch": 3.19, + "grad_norm": 1.170319676399231, + "learning_rate": 1.1263552960800667e-05, + "loss": 0.8076, + "step": 3299 + }, + { + "epoch": 3.19, + "grad_norm": 1.1295701265335083, + "learning_rate": 1.1259382819015847e-05, + "loss": 0.7454, + "step": 3300 + }, + { + "epoch": 3.19, + "eval_loss": 0.8572828769683838, + "eval_runtime": 861.1348, + "eval_samples_per_second": 4.801, + "eval_steps_per_second": 0.6, + "step": 3300 + }, + { + "epoch": 3.19, + "grad_norm": 1.3477787971496582, + "learning_rate": 1.1255212677231027e-05, + "loss": 0.6758, + "step": 3301 + }, + { + "epoch": 3.19, + "grad_norm": 1.2770168781280518, + "learning_rate": 1.1251042535446205e-05, + "loss": 0.5763, + "step": 3302 + }, + { + "epoch": 3.2, + "grad_norm": 1.169847846031189, + "learning_rate": 1.1246872393661385e-05, + "loss": 0.7559, + "step": 3303 + }, + { + "epoch": 3.2, + "grad_norm": 1.362985372543335, + "learning_rate": 1.1242702251876565e-05, + "loss": 0.6733, + "step": 3304 + }, + { + "epoch": 3.2, + "grad_norm": 1.3402783870697021, + "learning_rate": 1.1238532110091744e-05, + "loss": 0.7126, + "step": 3305 + }, + { + "epoch": 3.2, + "grad_norm": 1.2492231130599976, + "learning_rate": 1.1234361968306922e-05, + "loss": 0.6474, + "step": 3306 + }, + { + "epoch": 3.2, + "grad_norm": 1.181850790977478, + "learning_rate": 1.1230191826522102e-05, + "loss": 0.7208, + "step": 3307 + }, + { + "epoch": 3.2, + "grad_norm": 1.5102277994155884, + "learning_rate": 1.122602168473728e-05, + "loss": 0.9829, + "step": 3308 + }, + { + "epoch": 3.2, + "grad_norm": 1.0260789394378662, + "learning_rate": 1.122185154295246e-05, + "loss": 0.6908, + "step": 3309 + }, + { + "epoch": 3.2, + "grad_norm": 1.4059216976165771, + "learning_rate": 1.121768140116764e-05, + "loss": 0.6147, + "step": 3310 + }, + { + "epoch": 3.2, + "grad_norm": 1.2179521322250366, + "learning_rate": 1.1213511259382819e-05, + "loss": 0.6273, + "step": 3311 + }, + { + "epoch": 3.2, + "grad_norm": 1.3010526895523071, + "learning_rate": 1.1209341117597999e-05, + "loss": 0.6503, + "step": 3312 + }, + { + "epoch": 3.21, + "grad_norm": 1.1008187532424927, + "learning_rate": 1.1205170975813179e-05, + "loss": 0.7652, + "step": 3313 + }, + { + "epoch": 3.21, + "grad_norm": 1.5400184392929077, + "learning_rate": 1.1201000834028357e-05, + "loss": 0.7523, + "step": 3314 + }, + { + "epoch": 3.21, + "grad_norm": 1.293662667274475, + "learning_rate": 1.1196830692243537e-05, + "loss": 0.7678, + "step": 3315 + }, + { + "epoch": 3.21, + "grad_norm": 1.223686933517456, + "learning_rate": 1.1192660550458717e-05, + "loss": 0.8951, + "step": 3316 + }, + { + "epoch": 3.21, + "grad_norm": 1.3788419961929321, + "learning_rate": 1.1188490408673896e-05, + "loss": 0.876, + "step": 3317 + }, + { + "epoch": 3.21, + "grad_norm": 0.9645219445228577, + "learning_rate": 1.1184320266889074e-05, + "loss": 0.7768, + "step": 3318 + }, + { + "epoch": 3.21, + "grad_norm": 1.4818342924118042, + "learning_rate": 1.1180150125104254e-05, + "loss": 0.8519, + "step": 3319 + }, + { + "epoch": 3.21, + "grad_norm": 1.0755265951156616, + "learning_rate": 1.1175979983319432e-05, + "loss": 0.6771, + "step": 3320 + }, + { + "epoch": 3.21, + "grad_norm": 1.3540762662887573, + "learning_rate": 1.1171809841534612e-05, + "loss": 0.6359, + "step": 3321 + }, + { + "epoch": 3.21, + "grad_norm": 1.3275072574615479, + "learning_rate": 1.1167639699749792e-05, + "loss": 0.7787, + "step": 3322 + }, + { + "epoch": 3.22, + "grad_norm": 1.2326210737228394, + "learning_rate": 1.116346955796497e-05, + "loss": 0.7172, + "step": 3323 + }, + { + "epoch": 3.22, + "grad_norm": 1.4028030633926392, + "learning_rate": 1.115929941618015e-05, + "loss": 0.7234, + "step": 3324 + }, + { + "epoch": 3.22, + "grad_norm": 1.1928136348724365, + "learning_rate": 1.1155129274395331e-05, + "loss": 0.9787, + "step": 3325 + }, + { + "epoch": 3.22, + "grad_norm": 1.1200298070907593, + "learning_rate": 1.115095913261051e-05, + "loss": 0.6041, + "step": 3326 + }, + { + "epoch": 3.22, + "grad_norm": 1.1073306798934937, + "learning_rate": 1.114678899082569e-05, + "loss": 0.7624, + "step": 3327 + }, + { + "epoch": 3.22, + "grad_norm": 1.3048022985458374, + "learning_rate": 1.1142618849040868e-05, + "loss": 0.7386, + "step": 3328 + }, + { + "epoch": 3.22, + "grad_norm": 1.2235902547836304, + "learning_rate": 1.1138448707256046e-05, + "loss": 0.6995, + "step": 3329 + }, + { + "epoch": 3.22, + "grad_norm": 1.3890070915222168, + "learning_rate": 1.1134278565471226e-05, + "loss": 0.7412, + "step": 3330 + }, + { + "epoch": 3.22, + "grad_norm": 1.0528852939605713, + "learning_rate": 1.1130108423686406e-05, + "loss": 0.7006, + "step": 3331 + }, + { + "epoch": 3.22, + "grad_norm": 1.308143138885498, + "learning_rate": 1.1125938281901584e-05, + "loss": 0.6696, + "step": 3332 + }, + { + "epoch": 3.22, + "grad_norm": 1.071150541305542, + "learning_rate": 1.1121768140116764e-05, + "loss": 0.7458, + "step": 3333 + }, + { + "epoch": 3.23, + "grad_norm": 1.224147081375122, + "learning_rate": 1.1117597998331944e-05, + "loss": 0.9626, + "step": 3334 + }, + { + "epoch": 3.23, + "grad_norm": 1.3847763538360596, + "learning_rate": 1.1113427856547123e-05, + "loss": 0.6449, + "step": 3335 + }, + { + "epoch": 3.23, + "grad_norm": 1.3238705396652222, + "learning_rate": 1.1109257714762303e-05, + "loss": 0.7557, + "step": 3336 + }, + { + "epoch": 3.23, + "grad_norm": 1.1174274682998657, + "learning_rate": 1.1105087572977483e-05, + "loss": 0.7587, + "step": 3337 + }, + { + "epoch": 3.23, + "grad_norm": 1.061917781829834, + "learning_rate": 1.1100917431192661e-05, + "loss": 0.6395, + "step": 3338 + }, + { + "epoch": 3.23, + "grad_norm": 1.3624316453933716, + "learning_rate": 1.109674728940784e-05, + "loss": 0.7386, + "step": 3339 + }, + { + "epoch": 3.23, + "grad_norm": 0.9669332504272461, + "learning_rate": 1.109257714762302e-05, + "loss": 0.7333, + "step": 3340 + }, + { + "epoch": 3.23, + "grad_norm": 1.1314890384674072, + "learning_rate": 1.1088407005838198e-05, + "loss": 0.7405, + "step": 3341 + }, + { + "epoch": 3.23, + "grad_norm": 1.1925511360168457, + "learning_rate": 1.1084236864053378e-05, + "loss": 0.8459, + "step": 3342 + }, + { + "epoch": 3.23, + "grad_norm": 1.0116933584213257, + "learning_rate": 1.1080066722268558e-05, + "loss": 0.7452, + "step": 3343 + }, + { + "epoch": 3.24, + "grad_norm": 1.3489868640899658, + "learning_rate": 1.1075896580483736e-05, + "loss": 0.659, + "step": 3344 + }, + { + "epoch": 3.24, + "grad_norm": 1.6504747867584229, + "learning_rate": 1.1071726438698916e-05, + "loss": 0.7387, + "step": 3345 + }, + { + "epoch": 3.24, + "grad_norm": 1.038535714149475, + "learning_rate": 1.1067556296914096e-05, + "loss": 0.612, + "step": 3346 + }, + { + "epoch": 3.24, + "grad_norm": 1.3701627254486084, + "learning_rate": 1.1063386155129275e-05, + "loss": 0.8176, + "step": 3347 + }, + { + "epoch": 3.24, + "grad_norm": 1.492211937904358, + "learning_rate": 1.1059216013344455e-05, + "loss": 0.7442, + "step": 3348 + }, + { + "epoch": 3.24, + "grad_norm": 1.3194350004196167, + "learning_rate": 1.1055045871559635e-05, + "loss": 0.7451, + "step": 3349 + }, + { + "epoch": 3.24, + "grad_norm": 1.4297610521316528, + "learning_rate": 1.1050875729774811e-05, + "loss": 0.7047, + "step": 3350 + }, + { + "epoch": 3.24, + "grad_norm": 1.2381166219711304, + "learning_rate": 1.1046705587989991e-05, + "loss": 0.672, + "step": 3351 + }, + { + "epoch": 3.24, + "grad_norm": 1.6374913454055786, + "learning_rate": 1.1042535446205171e-05, + "loss": 0.6271, + "step": 3352 + }, + { + "epoch": 3.24, + "grad_norm": 1.383934497833252, + "learning_rate": 1.103836530442035e-05, + "loss": 0.7244, + "step": 3353 + }, + { + "epoch": 3.25, + "grad_norm": 1.6124647855758667, + "learning_rate": 1.103419516263553e-05, + "loss": 0.6762, + "step": 3354 + }, + { + "epoch": 3.25, + "grad_norm": 1.262732744216919, + "learning_rate": 1.103002502085071e-05, + "loss": 0.5914, + "step": 3355 + }, + { + "epoch": 3.25, + "grad_norm": 1.2295849323272705, + "learning_rate": 1.1025854879065888e-05, + "loss": 0.7001, + "step": 3356 + }, + { + "epoch": 3.25, + "grad_norm": 1.1591074466705322, + "learning_rate": 1.1021684737281068e-05, + "loss": 0.7922, + "step": 3357 + }, + { + "epoch": 3.25, + "grad_norm": 1.4156862497329712, + "learning_rate": 1.1017514595496248e-05, + "loss": 0.7443, + "step": 3358 + }, + { + "epoch": 3.25, + "grad_norm": 1.3502463102340698, + "learning_rate": 1.1013344453711427e-05, + "loss": 0.686, + "step": 3359 + }, + { + "epoch": 3.25, + "grad_norm": 0.9454214572906494, + "learning_rate": 1.1009174311926607e-05, + "loss": 0.6481, + "step": 3360 + }, + { + "epoch": 3.25, + "grad_norm": 1.1023411750793457, + "learning_rate": 1.1005004170141785e-05, + "loss": 0.6559, + "step": 3361 + }, + { + "epoch": 3.25, + "grad_norm": 1.402946949005127, + "learning_rate": 1.1000834028356963e-05, + "loss": 0.6993, + "step": 3362 + }, + { + "epoch": 3.25, + "grad_norm": 1.5812368392944336, + "learning_rate": 1.0996663886572143e-05, + "loss": 0.9209, + "step": 3363 + }, + { + "epoch": 3.25, + "grad_norm": 1.5126149654388428, + "learning_rate": 1.0992493744787323e-05, + "loss": 0.7068, + "step": 3364 + }, + { + "epoch": 3.26, + "grad_norm": 1.2705059051513672, + "learning_rate": 1.0988323603002502e-05, + "loss": 0.7095, + "step": 3365 + }, + { + "epoch": 3.26, + "grad_norm": 1.0155035257339478, + "learning_rate": 1.0984153461217682e-05, + "loss": 0.7165, + "step": 3366 + }, + { + "epoch": 3.26, + "grad_norm": 1.4430103302001953, + "learning_rate": 1.0979983319432862e-05, + "loss": 0.7907, + "step": 3367 + }, + { + "epoch": 3.26, + "grad_norm": 1.3394001722335815, + "learning_rate": 1.097581317764804e-05, + "loss": 0.7652, + "step": 3368 + }, + { + "epoch": 3.26, + "grad_norm": 1.068241000175476, + "learning_rate": 1.097164303586322e-05, + "loss": 0.6892, + "step": 3369 + }, + { + "epoch": 3.26, + "grad_norm": 1.3863632678985596, + "learning_rate": 1.09674728940784e-05, + "loss": 0.7418, + "step": 3370 + }, + { + "epoch": 3.26, + "grad_norm": 1.6057028770446777, + "learning_rate": 1.0963302752293579e-05, + "loss": 0.78, + "step": 3371 + }, + { + "epoch": 3.26, + "grad_norm": 1.0776585340499878, + "learning_rate": 1.0959132610508757e-05, + "loss": 0.8162, + "step": 3372 + }, + { + "epoch": 3.26, + "grad_norm": 1.25663423538208, + "learning_rate": 1.0954962468723937e-05, + "loss": 0.7252, + "step": 3373 + }, + { + "epoch": 3.26, + "grad_norm": 1.0809129476547241, + "learning_rate": 1.0950792326939115e-05, + "loss": 0.7351, + "step": 3374 + }, + { + "epoch": 3.27, + "grad_norm": 1.4997795820236206, + "learning_rate": 1.0946622185154295e-05, + "loss": 0.6246, + "step": 3375 + }, + { + "epoch": 3.27, + "grad_norm": 2.021662712097168, + "learning_rate": 1.0942452043369475e-05, + "loss": 0.7095, + "step": 3376 + }, + { + "epoch": 3.27, + "grad_norm": 1.0122530460357666, + "learning_rate": 1.0938281901584654e-05, + "loss": 0.7469, + "step": 3377 + }, + { + "epoch": 3.27, + "grad_norm": 1.9117823839187622, + "learning_rate": 1.0934111759799834e-05, + "loss": 0.6241, + "step": 3378 + }, + { + "epoch": 3.27, + "grad_norm": 1.371226191520691, + "learning_rate": 1.0929941618015014e-05, + "loss": 0.7936, + "step": 3379 + }, + { + "epoch": 3.27, + "grad_norm": 1.0318444967269897, + "learning_rate": 1.0925771476230192e-05, + "loss": 0.778, + "step": 3380 + }, + { + "epoch": 3.27, + "grad_norm": 0.9649823307991028, + "learning_rate": 1.0921601334445372e-05, + "loss": 0.6454, + "step": 3381 + }, + { + "epoch": 3.27, + "grad_norm": 1.4121474027633667, + "learning_rate": 1.0917431192660552e-05, + "loss": 0.7538, + "step": 3382 + }, + { + "epoch": 3.27, + "grad_norm": 0.9472850561141968, + "learning_rate": 1.0913261050875729e-05, + "loss": 0.6823, + "step": 3383 + }, + { + "epoch": 3.27, + "grad_norm": 1.024497389793396, + "learning_rate": 1.0909090909090909e-05, + "loss": 0.5917, + "step": 3384 + }, + { + "epoch": 3.28, + "grad_norm": 1.088594913482666, + "learning_rate": 1.0904920767306089e-05, + "loss": 0.6154, + "step": 3385 + }, + { + "epoch": 3.28, + "grad_norm": 1.2852396965026855, + "learning_rate": 1.0900750625521267e-05, + "loss": 0.7288, + "step": 3386 + }, + { + "epoch": 3.28, + "grad_norm": 1.1869783401489258, + "learning_rate": 1.0896580483736447e-05, + "loss": 0.64, + "step": 3387 + }, + { + "epoch": 3.28, + "grad_norm": 1.390867829322815, + "learning_rate": 1.0892410341951627e-05, + "loss": 0.7947, + "step": 3388 + }, + { + "epoch": 3.28, + "grad_norm": 1.1302490234375, + "learning_rate": 1.0888240200166806e-05, + "loss": 0.6224, + "step": 3389 + }, + { + "epoch": 3.28, + "grad_norm": 1.118886113166809, + "learning_rate": 1.0884070058381986e-05, + "loss": 0.6958, + "step": 3390 + }, + { + "epoch": 3.28, + "grad_norm": 1.2561124563217163, + "learning_rate": 1.0879899916597166e-05, + "loss": 0.6514, + "step": 3391 + }, + { + "epoch": 3.28, + "grad_norm": 1.2579007148742676, + "learning_rate": 1.0875729774812344e-05, + "loss": 0.5491, + "step": 3392 + }, + { + "epoch": 3.28, + "grad_norm": 1.1266318559646606, + "learning_rate": 1.0871559633027524e-05, + "loss": 0.6375, + "step": 3393 + }, + { + "epoch": 3.28, + "grad_norm": 1.3354460000991821, + "learning_rate": 1.0867389491242702e-05, + "loss": 0.6581, + "step": 3394 + }, + { + "epoch": 3.28, + "grad_norm": 1.1436158418655396, + "learning_rate": 1.086321934945788e-05, + "loss": 0.8215, + "step": 3395 + }, + { + "epoch": 3.29, + "grad_norm": 1.3141074180603027, + "learning_rate": 1.0859049207673061e-05, + "loss": 0.7193, + "step": 3396 + }, + { + "epoch": 3.29, + "grad_norm": 1.368032693862915, + "learning_rate": 1.0854879065888241e-05, + "loss": 0.5584, + "step": 3397 + }, + { + "epoch": 3.29, + "grad_norm": 1.2383919954299927, + "learning_rate": 1.085070892410342e-05, + "loss": 0.6618, + "step": 3398 + }, + { + "epoch": 3.29, + "grad_norm": 1.2585275173187256, + "learning_rate": 1.08465387823186e-05, + "loss": 0.7238, + "step": 3399 + }, + { + "epoch": 3.29, + "grad_norm": 1.2602593898773193, + "learning_rate": 1.084236864053378e-05, + "loss": 0.6925, + "step": 3400 + }, + { + "epoch": 3.29, + "grad_norm": 1.2530949115753174, + "learning_rate": 1.0838198498748958e-05, + "loss": 0.709, + "step": 3401 + }, + { + "epoch": 3.29, + "grad_norm": 1.637156367301941, + "learning_rate": 1.0834028356964138e-05, + "loss": 0.6816, + "step": 3402 + }, + { + "epoch": 3.29, + "grad_norm": 1.5359946489334106, + "learning_rate": 1.0829858215179318e-05, + "loss": 0.6496, + "step": 3403 + }, + { + "epoch": 3.29, + "grad_norm": 1.7935192584991455, + "learning_rate": 1.0825688073394496e-05, + "loss": 0.6654, + "step": 3404 + }, + { + "epoch": 3.29, + "grad_norm": 1.1224169731140137, + "learning_rate": 1.0821517931609674e-05, + "loss": 0.717, + "step": 3405 + }, + { + "epoch": 3.3, + "grad_norm": 1.2829378843307495, + "learning_rate": 1.0817347789824854e-05, + "loss": 0.8593, + "step": 3406 + }, + { + "epoch": 3.3, + "grad_norm": 1.1093112230300903, + "learning_rate": 1.0813177648040033e-05, + "loss": 0.8091, + "step": 3407 + }, + { + "epoch": 3.3, + "grad_norm": 1.4325751066207886, + "learning_rate": 1.0809007506255213e-05, + "loss": 0.6826, + "step": 3408 + }, + { + "epoch": 3.3, + "grad_norm": 1.0864099264144897, + "learning_rate": 1.0804837364470393e-05, + "loss": 0.6138, + "step": 3409 + }, + { + "epoch": 3.3, + "grad_norm": 1.59944748878479, + "learning_rate": 1.0800667222685571e-05, + "loss": 0.9302, + "step": 3410 + }, + { + "epoch": 3.3, + "grad_norm": 1.2777928113937378, + "learning_rate": 1.0796497080900751e-05, + "loss": 0.83, + "step": 3411 + }, + { + "epoch": 3.3, + "grad_norm": 1.2557361125946045, + "learning_rate": 1.0792326939115931e-05, + "loss": 0.6753, + "step": 3412 + }, + { + "epoch": 3.3, + "grad_norm": 1.3049935102462769, + "learning_rate": 1.078815679733111e-05, + "loss": 0.7715, + "step": 3413 + }, + { + "epoch": 3.3, + "grad_norm": 1.0733563899993896, + "learning_rate": 1.078398665554629e-05, + "loss": 0.6678, + "step": 3414 + }, + { + "epoch": 3.3, + "grad_norm": 1.47896146774292, + "learning_rate": 1.077981651376147e-05, + "loss": 0.7656, + "step": 3415 + }, + { + "epoch": 3.31, + "grad_norm": 1.1716828346252441, + "learning_rate": 1.0775646371976646e-05, + "loss": 0.5947, + "step": 3416 + }, + { + "epoch": 3.31, + "grad_norm": 1.2961649894714355, + "learning_rate": 1.0771476230191826e-05, + "loss": 0.6478, + "step": 3417 + }, + { + "epoch": 3.31, + "grad_norm": 1.2759963274002075, + "learning_rate": 1.0767306088407006e-05, + "loss": 0.6047, + "step": 3418 + }, + { + "epoch": 3.31, + "grad_norm": 1.008695125579834, + "learning_rate": 1.0763135946622185e-05, + "loss": 0.6799, + "step": 3419 + }, + { + "epoch": 3.31, + "grad_norm": 1.134704828262329, + "learning_rate": 1.0758965804837365e-05, + "loss": 0.5557, + "step": 3420 + }, + { + "epoch": 3.31, + "grad_norm": 1.4728366136550903, + "learning_rate": 1.0754795663052545e-05, + "loss": 0.7292, + "step": 3421 + }, + { + "epoch": 3.31, + "grad_norm": 1.1189053058624268, + "learning_rate": 1.0750625521267723e-05, + "loss": 0.7542, + "step": 3422 + }, + { + "epoch": 3.31, + "grad_norm": 1.1999545097351074, + "learning_rate": 1.0746455379482903e-05, + "loss": 0.5912, + "step": 3423 + }, + { + "epoch": 3.31, + "grad_norm": 1.0336962938308716, + "learning_rate": 1.0742285237698083e-05, + "loss": 0.7258, + "step": 3424 + }, + { + "epoch": 3.31, + "grad_norm": 1.879111409187317, + "learning_rate": 1.0738115095913262e-05, + "loss": 1.0062, + "step": 3425 + }, + { + "epoch": 3.31, + "grad_norm": 1.4221199750900269, + "learning_rate": 1.0733944954128442e-05, + "loss": 0.5881, + "step": 3426 + }, + { + "epoch": 3.32, + "grad_norm": 1.394644856452942, + "learning_rate": 1.072977481234362e-05, + "loss": 0.8218, + "step": 3427 + }, + { + "epoch": 3.32, + "grad_norm": 2.010867118835449, + "learning_rate": 1.0725604670558798e-05, + "loss": 0.8283, + "step": 3428 + }, + { + "epoch": 3.32, + "grad_norm": 1.330498456954956, + "learning_rate": 1.0721434528773978e-05, + "loss": 0.605, + "step": 3429 + }, + { + "epoch": 3.32, + "grad_norm": 1.4259686470031738, + "learning_rate": 1.0717264386989158e-05, + "loss": 0.7469, + "step": 3430 + }, + { + "epoch": 3.32, + "grad_norm": 1.2063336372375488, + "learning_rate": 1.0713094245204337e-05, + "loss": 0.7167, + "step": 3431 + }, + { + "epoch": 3.32, + "grad_norm": 1.2673969268798828, + "learning_rate": 1.0708924103419517e-05, + "loss": 0.6076, + "step": 3432 + }, + { + "epoch": 3.32, + "grad_norm": 1.4459670782089233, + "learning_rate": 1.0704753961634697e-05, + "loss": 0.8424, + "step": 3433 + }, + { + "epoch": 3.32, + "grad_norm": 0.9861494898796082, + "learning_rate": 1.0700583819849875e-05, + "loss": 0.6108, + "step": 3434 + }, + { + "epoch": 3.32, + "grad_norm": 1.0082473754882812, + "learning_rate": 1.0696413678065055e-05, + "loss": 0.7346, + "step": 3435 + }, + { + "epoch": 3.32, + "grad_norm": 1.4336408376693726, + "learning_rate": 1.0692243536280235e-05, + "loss": 0.8671, + "step": 3436 + }, + { + "epoch": 3.33, + "grad_norm": 1.3534523248672485, + "learning_rate": 1.0688073394495414e-05, + "loss": 0.5643, + "step": 3437 + }, + { + "epoch": 3.33, + "grad_norm": 1.3873342275619507, + "learning_rate": 1.0683903252710592e-05, + "loss": 0.7677, + "step": 3438 + }, + { + "epoch": 3.33, + "grad_norm": 1.1296403408050537, + "learning_rate": 1.0679733110925772e-05, + "loss": 0.6464, + "step": 3439 + }, + { + "epoch": 3.33, + "grad_norm": 1.3493890762329102, + "learning_rate": 1.067556296914095e-05, + "loss": 0.7079, + "step": 3440 + }, + { + "epoch": 3.33, + "grad_norm": 1.0572352409362793, + "learning_rate": 1.067139282735613e-05, + "loss": 0.7055, + "step": 3441 + }, + { + "epoch": 3.33, + "grad_norm": 1.1493865251541138, + "learning_rate": 1.066722268557131e-05, + "loss": 0.9469, + "step": 3442 + }, + { + "epoch": 3.33, + "grad_norm": 1.1443610191345215, + "learning_rate": 1.0663052543786489e-05, + "loss": 0.7493, + "step": 3443 + }, + { + "epoch": 3.33, + "grad_norm": 0.9636917114257812, + "learning_rate": 1.0658882402001669e-05, + "loss": 0.6283, + "step": 3444 + }, + { + "epoch": 3.33, + "grad_norm": 1.1887658834457397, + "learning_rate": 1.0654712260216849e-05, + "loss": 0.6482, + "step": 3445 + }, + { + "epoch": 3.33, + "grad_norm": 1.5771211385726929, + "learning_rate": 1.0650542118432027e-05, + "loss": 0.5913, + "step": 3446 + }, + { + "epoch": 3.34, + "grad_norm": 1.117101788520813, + "learning_rate": 1.0646371976647207e-05, + "loss": 0.823, + "step": 3447 + }, + { + "epoch": 3.34, + "grad_norm": 1.4400957822799683, + "learning_rate": 1.0642201834862387e-05, + "loss": 0.6638, + "step": 3448 + }, + { + "epoch": 3.34, + "grad_norm": 1.2020106315612793, + "learning_rate": 1.0638031693077564e-05, + "loss": 0.5566, + "step": 3449 + }, + { + "epoch": 3.34, + "grad_norm": 1.2653436660766602, + "learning_rate": 1.0633861551292744e-05, + "loss": 0.7604, + "step": 3450 + }, + { + "epoch": 3.34, + "grad_norm": 1.4160075187683105, + "learning_rate": 1.0629691409507924e-05, + "loss": 0.7211, + "step": 3451 + }, + { + "epoch": 3.34, + "grad_norm": 0.963518500328064, + "learning_rate": 1.0625521267723102e-05, + "loss": 0.7777, + "step": 3452 + }, + { + "epoch": 3.34, + "grad_norm": 1.4676203727722168, + "learning_rate": 1.0621351125938282e-05, + "loss": 0.8751, + "step": 3453 + }, + { + "epoch": 3.34, + "grad_norm": 1.1271092891693115, + "learning_rate": 1.0617180984153462e-05, + "loss": 0.8859, + "step": 3454 + }, + { + "epoch": 3.34, + "grad_norm": 1.1082775592803955, + "learning_rate": 1.061301084236864e-05, + "loss": 0.7262, + "step": 3455 + }, + { + "epoch": 3.34, + "grad_norm": 1.2201300859451294, + "learning_rate": 1.060884070058382e-05, + "loss": 0.8005, + "step": 3456 + }, + { + "epoch": 3.34, + "grad_norm": 0.9868558645248413, + "learning_rate": 1.0604670558799e-05, + "loss": 0.5953, + "step": 3457 + }, + { + "epoch": 3.35, + "grad_norm": 1.012241005897522, + "learning_rate": 1.0600500417014179e-05, + "loss": 0.7785, + "step": 3458 + }, + { + "epoch": 3.35, + "grad_norm": 1.1775126457214355, + "learning_rate": 1.0596330275229359e-05, + "loss": 0.6593, + "step": 3459 + }, + { + "epoch": 3.35, + "grad_norm": 1.3616118431091309, + "learning_rate": 1.0592160133444537e-05, + "loss": 0.7491, + "step": 3460 + }, + { + "epoch": 3.35, + "grad_norm": 1.2633185386657715, + "learning_rate": 1.0587989991659716e-05, + "loss": 0.838, + "step": 3461 + }, + { + "epoch": 3.35, + "grad_norm": 1.2192989587783813, + "learning_rate": 1.0583819849874896e-05, + "loss": 0.7723, + "step": 3462 + }, + { + "epoch": 3.35, + "grad_norm": 1.3479501008987427, + "learning_rate": 1.0579649708090076e-05, + "loss": 0.7368, + "step": 3463 + }, + { + "epoch": 3.35, + "grad_norm": 1.292114019393921, + "learning_rate": 1.0575479566305254e-05, + "loss": 0.7949, + "step": 3464 + }, + { + "epoch": 3.35, + "grad_norm": 1.1060526371002197, + "learning_rate": 1.0571309424520434e-05, + "loss": 0.7733, + "step": 3465 + }, + { + "epoch": 3.35, + "grad_norm": 1.2905687093734741, + "learning_rate": 1.0567139282735614e-05, + "loss": 0.7951, + "step": 3466 + }, + { + "epoch": 3.35, + "grad_norm": 1.126912236213684, + "learning_rate": 1.0562969140950793e-05, + "loss": 0.7167, + "step": 3467 + }, + { + "epoch": 3.36, + "grad_norm": 1.5318437814712524, + "learning_rate": 1.0558798999165973e-05, + "loss": 0.7958, + "step": 3468 + }, + { + "epoch": 3.36, + "grad_norm": 1.1199828386306763, + "learning_rate": 1.0554628857381153e-05, + "loss": 0.6292, + "step": 3469 + }, + { + "epoch": 3.36, + "grad_norm": 1.6919323205947876, + "learning_rate": 1.0550458715596331e-05, + "loss": 0.9646, + "step": 3470 + }, + { + "epoch": 3.36, + "grad_norm": 1.2313265800476074, + "learning_rate": 1.054628857381151e-05, + "loss": 0.6957, + "step": 3471 + }, + { + "epoch": 3.36, + "grad_norm": 1.1872867345809937, + "learning_rate": 1.054211843202669e-05, + "loss": 0.6459, + "step": 3472 + }, + { + "epoch": 3.36, + "grad_norm": 1.381390929222107, + "learning_rate": 1.0537948290241868e-05, + "loss": 0.8237, + "step": 3473 + }, + { + "epoch": 3.36, + "grad_norm": 1.0828696489334106, + "learning_rate": 1.0533778148457048e-05, + "loss": 0.6105, + "step": 3474 + }, + { + "epoch": 3.36, + "grad_norm": 1.3132773637771606, + "learning_rate": 1.0529608006672228e-05, + "loss": 0.7536, + "step": 3475 + }, + { + "epoch": 3.36, + "grad_norm": 1.01531183719635, + "learning_rate": 1.0525437864887406e-05, + "loss": 0.6987, + "step": 3476 + }, + { + "epoch": 3.36, + "grad_norm": 1.4168379306793213, + "learning_rate": 1.0521267723102586e-05, + "loss": 0.8741, + "step": 3477 + }, + { + "epoch": 3.37, + "grad_norm": 1.338118314743042, + "learning_rate": 1.0517097581317766e-05, + "loss": 0.6214, + "step": 3478 + }, + { + "epoch": 3.37, + "grad_norm": 1.4483674764633179, + "learning_rate": 1.0512927439532945e-05, + "loss": 0.7309, + "step": 3479 + }, + { + "epoch": 3.37, + "grad_norm": 1.3336416482925415, + "learning_rate": 1.0508757297748125e-05, + "loss": 0.7135, + "step": 3480 + }, + { + "epoch": 3.37, + "grad_norm": 1.3744287490844727, + "learning_rate": 1.0504587155963305e-05, + "loss": 0.7492, + "step": 3481 + }, + { + "epoch": 3.37, + "grad_norm": 1.222573161125183, + "learning_rate": 1.0500417014178481e-05, + "loss": 0.7949, + "step": 3482 + }, + { + "epoch": 3.37, + "grad_norm": 1.2898274660110474, + "learning_rate": 1.0496246872393661e-05, + "loss": 0.7056, + "step": 3483 + }, + { + "epoch": 3.37, + "grad_norm": 1.5685310363769531, + "learning_rate": 1.0492076730608841e-05, + "loss": 0.8209, + "step": 3484 + }, + { + "epoch": 3.37, + "grad_norm": 1.5154378414154053, + "learning_rate": 1.048790658882402e-05, + "loss": 0.6577, + "step": 3485 + }, + { + "epoch": 3.37, + "grad_norm": 1.3797118663787842, + "learning_rate": 1.04837364470392e-05, + "loss": 0.7417, + "step": 3486 + }, + { + "epoch": 3.37, + "grad_norm": 1.2001053094863892, + "learning_rate": 1.047956630525438e-05, + "loss": 0.9088, + "step": 3487 + }, + { + "epoch": 3.37, + "grad_norm": 1.3712891340255737, + "learning_rate": 1.0475396163469558e-05, + "loss": 0.748, + "step": 3488 + }, + { + "epoch": 3.38, + "grad_norm": 1.3195301294326782, + "learning_rate": 1.0471226021684738e-05, + "loss": 0.9355, + "step": 3489 + }, + { + "epoch": 3.38, + "grad_norm": 1.404589056968689, + "learning_rate": 1.0467055879899918e-05, + "loss": 0.8267, + "step": 3490 + }, + { + "epoch": 3.38, + "grad_norm": 1.5360671281814575, + "learning_rate": 1.0462885738115096e-05, + "loss": 0.7572, + "step": 3491 + }, + { + "epoch": 3.38, + "grad_norm": 1.7579607963562012, + "learning_rate": 1.0458715596330277e-05, + "loss": 0.7259, + "step": 3492 + }, + { + "epoch": 3.38, + "grad_norm": 1.5258115530014038, + "learning_rate": 1.0454545454545455e-05, + "loss": 0.5538, + "step": 3493 + }, + { + "epoch": 3.38, + "grad_norm": 1.3881744146347046, + "learning_rate": 1.0450375312760633e-05, + "loss": 0.7602, + "step": 3494 + }, + { + "epoch": 3.38, + "grad_norm": 1.1759934425354004, + "learning_rate": 1.0446205170975813e-05, + "loss": 0.7173, + "step": 3495 + }, + { + "epoch": 3.38, + "grad_norm": 1.5940110683441162, + "learning_rate": 1.0442035029190993e-05, + "loss": 0.7985, + "step": 3496 + }, + { + "epoch": 3.38, + "grad_norm": 1.5001188516616821, + "learning_rate": 1.0437864887406172e-05, + "loss": 0.6589, + "step": 3497 + }, + { + "epoch": 3.38, + "grad_norm": 1.4686529636383057, + "learning_rate": 1.0433694745621352e-05, + "loss": 0.6081, + "step": 3498 + }, + { + "epoch": 3.39, + "grad_norm": 0.9764127135276794, + "learning_rate": 1.0429524603836532e-05, + "loss": 0.7013, + "step": 3499 + }, + { + "epoch": 3.39, + "grad_norm": 1.1044386625289917, + "learning_rate": 1.042535446205171e-05, + "loss": 0.6973, + "step": 3500 + }, + { + "epoch": 3.39, + "grad_norm": 1.2028939723968506, + "learning_rate": 1.042118432026689e-05, + "loss": 0.7388, + "step": 3501 + }, + { + "epoch": 3.39, + "grad_norm": 1.0677155256271362, + "learning_rate": 1.041701417848207e-05, + "loss": 0.6227, + "step": 3502 + }, + { + "epoch": 3.39, + "grad_norm": 1.062029242515564, + "learning_rate": 1.0412844036697248e-05, + "loss": 0.8376, + "step": 3503 + }, + { + "epoch": 3.39, + "grad_norm": 0.8803884983062744, + "learning_rate": 1.0408673894912427e-05, + "loss": 0.6413, + "step": 3504 + }, + { + "epoch": 3.39, + "grad_norm": 1.3496851921081543, + "learning_rate": 1.0404503753127607e-05, + "loss": 0.8495, + "step": 3505 + }, + { + "epoch": 3.39, + "grad_norm": 1.4136476516723633, + "learning_rate": 1.0400333611342785e-05, + "loss": 0.7462, + "step": 3506 + }, + { + "epoch": 3.39, + "grad_norm": 1.549994707107544, + "learning_rate": 1.0396163469557965e-05, + "loss": 0.7594, + "step": 3507 + }, + { + "epoch": 3.39, + "grad_norm": 1.1506428718566895, + "learning_rate": 1.0391993327773145e-05, + "loss": 0.898, + "step": 3508 + }, + { + "epoch": 3.4, + "grad_norm": 1.1922247409820557, + "learning_rate": 1.0387823185988324e-05, + "loss": 0.7385, + "step": 3509 + }, + { + "epoch": 3.4, + "grad_norm": 1.2994155883789062, + "learning_rate": 1.0383653044203504e-05, + "loss": 0.6704, + "step": 3510 + }, + { + "epoch": 3.4, + "grad_norm": 1.820528268814087, + "learning_rate": 1.0379482902418684e-05, + "loss": 0.7495, + "step": 3511 + }, + { + "epoch": 3.4, + "grad_norm": 1.6319626569747925, + "learning_rate": 1.0375312760633862e-05, + "loss": 0.8123, + "step": 3512 + }, + { + "epoch": 3.4, + "grad_norm": 1.3884319067001343, + "learning_rate": 1.0371142618849042e-05, + "loss": 0.941, + "step": 3513 + }, + { + "epoch": 3.4, + "grad_norm": 1.1962778568267822, + "learning_rate": 1.0366972477064222e-05, + "loss": 0.7931, + "step": 3514 + }, + { + "epoch": 3.4, + "grad_norm": 1.1450304985046387, + "learning_rate": 1.0362802335279399e-05, + "loss": 0.6582, + "step": 3515 + }, + { + "epoch": 3.4, + "grad_norm": 1.7188949584960938, + "learning_rate": 1.0358632193494579e-05, + "loss": 0.9605, + "step": 3516 + }, + { + "epoch": 3.4, + "grad_norm": 1.057910442352295, + "learning_rate": 1.0354462051709759e-05, + "loss": 0.775, + "step": 3517 + }, + { + "epoch": 3.4, + "grad_norm": 1.2940022945404053, + "learning_rate": 1.0350291909924937e-05, + "loss": 0.7155, + "step": 3518 + }, + { + "epoch": 3.4, + "grad_norm": 1.1312918663024902, + "learning_rate": 1.0346121768140117e-05, + "loss": 0.7355, + "step": 3519 + }, + { + "epoch": 3.41, + "grad_norm": 1.2899068593978882, + "learning_rate": 1.0341951626355297e-05, + "loss": 0.7127, + "step": 3520 + }, + { + "epoch": 3.41, + "grad_norm": 1.1840060949325562, + "learning_rate": 1.0337781484570476e-05, + "loss": 0.6164, + "step": 3521 + }, + { + "epoch": 3.41, + "grad_norm": 1.1102287769317627, + "learning_rate": 1.0333611342785656e-05, + "loss": 0.8481, + "step": 3522 + }, + { + "epoch": 3.41, + "grad_norm": 1.0823404788970947, + "learning_rate": 1.0329441201000836e-05, + "loss": 0.7277, + "step": 3523 + }, + { + "epoch": 3.41, + "grad_norm": 1.7079617977142334, + "learning_rate": 1.0325271059216014e-05, + "loss": 0.6981, + "step": 3524 + }, + { + "epoch": 3.41, + "grad_norm": 1.2939664125442505, + "learning_rate": 1.0321100917431194e-05, + "loss": 0.8583, + "step": 3525 + }, + { + "epoch": 3.41, + "grad_norm": 1.1833579540252686, + "learning_rate": 1.0316930775646372e-05, + "loss": 0.8205, + "step": 3526 + }, + { + "epoch": 3.41, + "grad_norm": 1.7491941452026367, + "learning_rate": 1.031276063386155e-05, + "loss": 0.6701, + "step": 3527 + }, + { + "epoch": 3.41, + "grad_norm": 2.246164560317993, + "learning_rate": 1.030859049207673e-05, + "loss": 0.6322, + "step": 3528 + }, + { + "epoch": 3.41, + "grad_norm": 1.0349647998809814, + "learning_rate": 1.030442035029191e-05, + "loss": 0.6437, + "step": 3529 + }, + { + "epoch": 3.42, + "grad_norm": 1.9165652990341187, + "learning_rate": 1.0300250208507089e-05, + "loss": 0.6983, + "step": 3530 + }, + { + "epoch": 3.42, + "grad_norm": 1.4408538341522217, + "learning_rate": 1.0296080066722269e-05, + "loss": 0.879, + "step": 3531 + }, + { + "epoch": 3.42, + "grad_norm": 1.6121331453323364, + "learning_rate": 1.0291909924937449e-05, + "loss": 0.7728, + "step": 3532 + }, + { + "epoch": 3.42, + "grad_norm": 1.1499223709106445, + "learning_rate": 1.0287739783152627e-05, + "loss": 0.7445, + "step": 3533 + }, + { + "epoch": 3.42, + "grad_norm": 1.153995394706726, + "learning_rate": 1.0283569641367808e-05, + "loss": 0.648, + "step": 3534 + }, + { + "epoch": 3.42, + "grad_norm": 1.144078016281128, + "learning_rate": 1.0279399499582988e-05, + "loss": 0.5877, + "step": 3535 + }, + { + "epoch": 3.42, + "grad_norm": 1.1591856479644775, + "learning_rate": 1.0275229357798166e-05, + "loss": 0.7853, + "step": 3536 + }, + { + "epoch": 3.42, + "grad_norm": 1.3697547912597656, + "learning_rate": 1.0271059216013344e-05, + "loss": 0.7107, + "step": 3537 + }, + { + "epoch": 3.42, + "grad_norm": 0.9899626970291138, + "learning_rate": 1.0266889074228524e-05, + "loss": 0.6433, + "step": 3538 + }, + { + "epoch": 3.42, + "grad_norm": 1.0768812894821167, + "learning_rate": 1.0262718932443703e-05, + "loss": 0.7091, + "step": 3539 + }, + { + "epoch": 3.43, + "grad_norm": 1.24858820438385, + "learning_rate": 1.0258548790658883e-05, + "loss": 0.8891, + "step": 3540 + }, + { + "epoch": 3.43, + "grad_norm": 1.4133400917053223, + "learning_rate": 1.0254378648874063e-05, + "loss": 0.7898, + "step": 3541 + }, + { + "epoch": 3.43, + "grad_norm": 1.4721908569335938, + "learning_rate": 1.0250208507089241e-05, + "loss": 0.7279, + "step": 3542 + }, + { + "epoch": 3.43, + "grad_norm": 1.4527523517608643, + "learning_rate": 1.0246038365304421e-05, + "loss": 0.8065, + "step": 3543 + }, + { + "epoch": 3.43, + "grad_norm": 1.46436607837677, + "learning_rate": 1.0241868223519601e-05, + "loss": 0.874, + "step": 3544 + }, + { + "epoch": 3.43, + "grad_norm": 2.378770589828491, + "learning_rate": 1.023769808173478e-05, + "loss": 0.646, + "step": 3545 + }, + { + "epoch": 3.43, + "grad_norm": 1.1264159679412842, + "learning_rate": 1.023352793994996e-05, + "loss": 0.6833, + "step": 3546 + }, + { + "epoch": 3.43, + "grad_norm": 1.3123902082443237, + "learning_rate": 1.022935779816514e-05, + "loss": 0.8684, + "step": 3547 + }, + { + "epoch": 3.43, + "grad_norm": 1.419434666633606, + "learning_rate": 1.0225187656380318e-05, + "loss": 0.7733, + "step": 3548 + }, + { + "epoch": 3.43, + "grad_norm": 1.465518832206726, + "learning_rate": 1.0221017514595496e-05, + "loss": 0.8666, + "step": 3549 + }, + { + "epoch": 3.43, + "grad_norm": 1.7353533506393433, + "learning_rate": 1.0216847372810676e-05, + "loss": 0.5738, + "step": 3550 + }, + { + "epoch": 3.44, + "grad_norm": 1.3762145042419434, + "learning_rate": 1.0212677231025855e-05, + "loss": 0.8024, + "step": 3551 + }, + { + "epoch": 3.44, + "grad_norm": 1.4958751201629639, + "learning_rate": 1.0208507089241035e-05, + "loss": 0.6455, + "step": 3552 + }, + { + "epoch": 3.44, + "grad_norm": 1.5199908018112183, + "learning_rate": 1.0204336947456215e-05, + "loss": 0.579, + "step": 3553 + }, + { + "epoch": 3.44, + "grad_norm": 1.4705257415771484, + "learning_rate": 1.0200166805671393e-05, + "loss": 0.7725, + "step": 3554 + }, + { + "epoch": 3.44, + "grad_norm": 1.429896354675293, + "learning_rate": 1.0195996663886573e-05, + "loss": 0.7724, + "step": 3555 + }, + { + "epoch": 3.44, + "grad_norm": 1.4332140684127808, + "learning_rate": 1.0191826522101753e-05, + "loss": 0.7289, + "step": 3556 + }, + { + "epoch": 3.44, + "grad_norm": 1.1396420001983643, + "learning_rate": 1.0187656380316931e-05, + "loss": 0.6976, + "step": 3557 + }, + { + "epoch": 3.44, + "grad_norm": 1.388533115386963, + "learning_rate": 1.0183486238532111e-05, + "loss": 0.6746, + "step": 3558 + }, + { + "epoch": 3.44, + "grad_norm": 1.1702568531036377, + "learning_rate": 1.017931609674729e-05, + "loss": 0.7049, + "step": 3559 + }, + { + "epoch": 3.44, + "grad_norm": 1.3851664066314697, + "learning_rate": 1.0175145954962468e-05, + "loss": 0.799, + "step": 3560 + }, + { + "epoch": 3.45, + "grad_norm": 1.3145420551300049, + "learning_rate": 1.0170975813177648e-05, + "loss": 0.7003, + "step": 3561 + }, + { + "epoch": 3.45, + "grad_norm": 1.273146152496338, + "learning_rate": 1.0166805671392828e-05, + "loss": 0.7805, + "step": 3562 + }, + { + "epoch": 3.45, + "grad_norm": 1.5097302198410034, + "learning_rate": 1.0162635529608007e-05, + "loss": 0.8458, + "step": 3563 + }, + { + "epoch": 3.45, + "grad_norm": 1.6792807579040527, + "learning_rate": 1.0158465387823187e-05, + "loss": 0.7154, + "step": 3564 + }, + { + "epoch": 3.45, + "grad_norm": 1.318212866783142, + "learning_rate": 1.0154295246038367e-05, + "loss": 0.7312, + "step": 3565 + }, + { + "epoch": 3.45, + "grad_norm": 1.5390247106552124, + "learning_rate": 1.0150125104253545e-05, + "loss": 0.6338, + "step": 3566 + }, + { + "epoch": 3.45, + "grad_norm": 1.0180580615997314, + "learning_rate": 1.0145954962468725e-05, + "loss": 0.6228, + "step": 3567 + }, + { + "epoch": 3.45, + "grad_norm": 1.420424461364746, + "learning_rate": 1.0141784820683905e-05, + "loss": 0.7449, + "step": 3568 + }, + { + "epoch": 3.45, + "grad_norm": 1.2157551050186157, + "learning_rate": 1.0137614678899083e-05, + "loss": 0.8455, + "step": 3569 + }, + { + "epoch": 3.45, + "grad_norm": 1.3864554166793823, + "learning_rate": 1.0133444537114263e-05, + "loss": 0.754, + "step": 3570 + }, + { + "epoch": 3.46, + "grad_norm": 1.347893476486206, + "learning_rate": 1.0129274395329442e-05, + "loss": 0.8759, + "step": 3571 + }, + { + "epoch": 3.46, + "grad_norm": 1.1174273490905762, + "learning_rate": 1.012510425354462e-05, + "loss": 0.6399, + "step": 3572 + }, + { + "epoch": 3.46, + "grad_norm": 1.2639257907867432, + "learning_rate": 1.01209341117598e-05, + "loss": 0.6835, + "step": 3573 + }, + { + "epoch": 3.46, + "grad_norm": 1.1181992292404175, + "learning_rate": 1.011676396997498e-05, + "loss": 0.7897, + "step": 3574 + }, + { + "epoch": 3.46, + "grad_norm": 1.1306074857711792, + "learning_rate": 1.0112593828190158e-05, + "loss": 0.5676, + "step": 3575 + }, + { + "epoch": 3.46, + "grad_norm": 1.2635434865951538, + "learning_rate": 1.0108423686405339e-05, + "loss": 0.6779, + "step": 3576 + }, + { + "epoch": 3.46, + "grad_norm": 1.540344476699829, + "learning_rate": 1.0104253544620519e-05, + "loss": 0.6709, + "step": 3577 + }, + { + "epoch": 3.46, + "grad_norm": 1.293089509010315, + "learning_rate": 1.0100083402835697e-05, + "loss": 0.66, + "step": 3578 + }, + { + "epoch": 3.46, + "grad_norm": 1.7892770767211914, + "learning_rate": 1.0095913261050877e-05, + "loss": 0.8133, + "step": 3579 + }, + { + "epoch": 3.46, + "grad_norm": 1.2047173976898193, + "learning_rate": 1.0091743119266055e-05, + "loss": 0.8122, + "step": 3580 + }, + { + "epoch": 3.46, + "grad_norm": 1.4319950342178345, + "learning_rate": 1.0087572977481235e-05, + "loss": 0.6982, + "step": 3581 + }, + { + "epoch": 3.47, + "grad_norm": 1.3874304294586182, + "learning_rate": 1.0083402835696414e-05, + "loss": 0.7791, + "step": 3582 + }, + { + "epoch": 3.47, + "grad_norm": 1.123240351676941, + "learning_rate": 1.0079232693911594e-05, + "loss": 0.7105, + "step": 3583 + }, + { + "epoch": 3.47, + "grad_norm": 1.1747161149978638, + "learning_rate": 1.0075062552126772e-05, + "loss": 0.7439, + "step": 3584 + }, + { + "epoch": 3.47, + "grad_norm": 1.8504464626312256, + "learning_rate": 1.0070892410341952e-05, + "loss": 0.6902, + "step": 3585 + }, + { + "epoch": 3.47, + "grad_norm": 1.3045039176940918, + "learning_rate": 1.0066722268557132e-05, + "loss": 0.7246, + "step": 3586 + }, + { + "epoch": 3.47, + "grad_norm": 1.3498984575271606, + "learning_rate": 1.006255212677231e-05, + "loss": 0.6498, + "step": 3587 + }, + { + "epoch": 3.47, + "grad_norm": 1.1970775127410889, + "learning_rate": 1.005838198498749e-05, + "loss": 0.6152, + "step": 3588 + }, + { + "epoch": 3.47, + "grad_norm": 1.417137861251831, + "learning_rate": 1.005421184320267e-05, + "loss": 0.7811, + "step": 3589 + }, + { + "epoch": 3.47, + "grad_norm": 1.563003659248352, + "learning_rate": 1.0050041701417849e-05, + "loss": 0.6854, + "step": 3590 + }, + { + "epoch": 3.47, + "grad_norm": 1.1362507343292236, + "learning_rate": 1.0045871559633029e-05, + "loss": 0.6716, + "step": 3591 + }, + { + "epoch": 3.48, + "grad_norm": 1.1619484424591064, + "learning_rate": 1.0041701417848207e-05, + "loss": 0.7862, + "step": 3592 + }, + { + "epoch": 3.48, + "grad_norm": 1.3124399185180664, + "learning_rate": 1.0037531276063386e-05, + "loss": 0.6504, + "step": 3593 + }, + { + "epoch": 3.48, + "grad_norm": 1.0640451908111572, + "learning_rate": 1.0033361134278566e-05, + "loss": 0.7805, + "step": 3594 + }, + { + "epoch": 3.48, + "grad_norm": 1.3605332374572754, + "learning_rate": 1.0029190992493746e-05, + "loss": 0.777, + "step": 3595 + }, + { + "epoch": 3.48, + "grad_norm": 1.501366376876831, + "learning_rate": 1.0025020850708924e-05, + "loss": 0.7642, + "step": 3596 + }, + { + "epoch": 3.48, + "grad_norm": 1.334129810333252, + "learning_rate": 1.0020850708924104e-05, + "loss": 0.7327, + "step": 3597 + }, + { + "epoch": 3.48, + "grad_norm": 1.3075995445251465, + "learning_rate": 1.0016680567139284e-05, + "loss": 0.8363, + "step": 3598 + }, + { + "epoch": 3.48, + "grad_norm": 1.2604775428771973, + "learning_rate": 1.0012510425354462e-05, + "loss": 0.8748, + "step": 3599 + }, + { + "epoch": 3.48, + "grad_norm": 1.1842291355133057, + "learning_rate": 1.0008340283569642e-05, + "loss": 0.8248, + "step": 3600 + }, + { + "epoch": 3.48, + "eval_loss": 0.8547488451004028, + "eval_runtime": 860.9138, + "eval_samples_per_second": 4.802, + "eval_steps_per_second": 0.601, + "step": 3600 } ], "logging_steps": 1, - "max_steps": 10000, + "max_steps": 6000, "num_input_tokens_seen": 0, - "num_train_epochs": 3, - "save_steps": 5, - "total_flos": 641717248155648.0, - "train_batch_size": 1, + "num_train_epochs": 6, + "save_steps": 300, + "total_flos": 1.566461114115588e+18, + "train_batch_size": 4, "trial_name": null, "trial_params": null }