diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,48019 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.6666666666666666, + "eval_steps": 2000, + "global_step": 4000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.00016666666666666666, + "grad_norm": 73.5, + "learning_rate": 0.0001, + "loss": 7.9671, + "loss/crossentropy": 2.569203495979309, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.18632682040333748, + "step": 1 + }, + { + "epoch": 0.0003333333333333333, + "grad_norm": 93.0, + "learning_rate": 9.999999314610822e-05, + "loss": 7.8943, + "loss/crossentropy": 1.845904678106308, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.19127092137932777, + "step": 2 + }, + { + "epoch": 0.0005, + "grad_norm": 40.0, + "learning_rate": 9.999997258443473e-05, + "loss": 7.7016, + "loss/crossentropy": 2.047421157360077, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.20494147762656212, + "step": 3 + }, + { + "epoch": 0.0006666666666666666, + "grad_norm": 37.5, + "learning_rate": 9.999993831498517e-05, + "loss": 7.8427, + "loss/crossentropy": 1.876516431570053, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.24268608912825584, + "step": 4 + }, + { + "epoch": 0.0008333333333333334, + "grad_norm": 37.25, + "learning_rate": 9.999989033776898e-05, + "loss": 7.8733, + "loss/crossentropy": 2.017443597316742, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.24553321674466133, + "step": 5 + }, + { + "epoch": 0.001, + "grad_norm": 58.75, + "learning_rate": 9.999982865279924e-05, + "loss": 7.9913, + "loss/crossentropy": 2.0913399159908295, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.18808197975158691, + "step": 6 + }, + { + "epoch": 0.0011666666666666668, + "grad_norm": 49.75, + "learning_rate": 9.999975326009292e-05, + "loss": 7.8335, + "loss/crossentropy": 2.122416466474533, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.22057654336094856, + "step": 7 + }, + { + "epoch": 0.0013333333333333333, + "grad_norm": 37.5, + "learning_rate": 9.999966415967066e-05, + "loss": 7.5297, + "loss/crossentropy": 1.8422361314296722, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.17389418557286263, + "step": 8 + }, + { + "epoch": 0.0015, + "grad_norm": 34.75, + "learning_rate": 9.999956135155687e-05, + "loss": 7.747, + "loss/crossentropy": 2.0487734377384186, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.19654536992311478, + "step": 9 + }, + { + "epoch": 0.0016666666666666668, + "grad_norm": 41.75, + "learning_rate": 9.999944483577981e-05, + "loss": 7.6389, + "loss/crossentropy": 2.0523241758346558, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.29397766664624214, + "step": 10 + }, + { + "epoch": 0.0018333333333333333, + "grad_norm": 36.25, + "learning_rate": 9.999931461237134e-05, + "loss": 7.7575, + "loss/crossentropy": 2.1524189710617065, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.20942805707454681, + "step": 11 + }, + { + "epoch": 0.002, + "grad_norm": 34.25, + "learning_rate": 9.999917068136722e-05, + "loss": 7.8672, + "loss/crossentropy": 2.24754399061203, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.23748969286680222, + "step": 12 + }, + { + "epoch": 0.0021666666666666666, + "grad_norm": 33.75, + "learning_rate": 9.999901304280685e-05, + "loss": 7.7629, + "loss/crossentropy": 1.634619951248169, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.18291744217276573, + "step": 13 + }, + { + "epoch": 0.0023333333333333335, + "grad_norm": 41.0, + "learning_rate": 9.999884169673351e-05, + "loss": 7.8668, + "loss/crossentropy": 1.7690042853355408, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.22475926205515862, + "step": 14 + }, + { + "epoch": 0.0025, + "grad_norm": 37.25, + "learning_rate": 9.999865664319414e-05, + "loss": 7.635, + "loss/crossentropy": 1.859389066696167, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.2027263380587101, + "step": 15 + }, + { + "epoch": 0.0026666666666666666, + "grad_norm": 32.0, + "grad_norm_var": 280.3080729166667, + "learning_rate": 9.999845788223949e-05, + "loss": 7.5468, + "loss/crossentropy": 2.26497346162796, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.181312408298254, + "step": 16 + }, + { + "epoch": 0.0028333333333333335, + "grad_norm": 33.75, + "grad_norm_var": 227.43229166666666, + "learning_rate": 9.999824541392405e-05, + "loss": 7.7265, + "loss/crossentropy": 2.273234874010086, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.21036671847105026, + "step": 17 + }, + { + "epoch": 0.003, + "grad_norm": 41.25, + "grad_norm_var": 45.71432291666667, + "learning_rate": 9.999801923830603e-05, + "loss": 7.7958, + "loss/crossentropy": 1.7472622692584991, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.22986393049359322, + "step": 18 + }, + { + "epoch": 0.0031666666666666666, + "grad_norm": 43.0, + "grad_norm_var": 46.608072916666664, + "learning_rate": 9.99977793554475e-05, + "loss": 7.4669, + "loss/crossentropy": 2.0385634303092957, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.2178351879119873, + "step": 19 + }, + { + "epoch": 0.0033333333333333335, + "grad_norm": 39.25, + "grad_norm_var": 46.365625, + "learning_rate": 9.999752576541418e-05, + "loss": 7.5922, + "loss/crossentropy": 1.7339409589767456, + "loss/hidden": 3.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.26616106554865837, + "step": 20 + }, + { + "epoch": 0.0035, + "grad_norm": 33.75, + "grad_norm_var": 48.166666666666664, + "learning_rate": 9.999725846827562e-05, + "loss": 7.6232, + "loss/crossentropy": 1.7600694447755814, + "loss/hidden": 3.79296875, + "loss/jsd": 0.0, + "loss/logits": 0.23021411895751953, + "step": 21 + }, + { + "epoch": 0.0036666666666666666, + "grad_norm": 32.5, + "grad_norm_var": 22.983072916666668, + "learning_rate": 9.999697746410508e-05, + "loss": 7.7923, + "loss/crossentropy": 2.362265467643738, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.17758158221840858, + "step": 22 + }, + { + "epoch": 0.003833333333333333, + "grad_norm": 36.0, + "grad_norm_var": 12.541666666666666, + "learning_rate": 9.99966827529796e-05, + "loss": 7.7335, + "loss/crossentropy": 1.964929312467575, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.2139221392571926, + "step": 23 + }, + { + "epoch": 0.004, + "grad_norm": 33.75, + "grad_norm_var": 13.045572916666666, + "learning_rate": 9.999637433497999e-05, + "loss": 7.7097, + "loss/crossentropy": 1.7122240215539932, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.2085253857076168, + "step": 24 + }, + { + "epoch": 0.004166666666666667, + "grad_norm": 35.25, + "grad_norm_var": 12.943489583333333, + "learning_rate": 9.999605221019081e-05, + "loss": 7.8487, + "loss/crossentropy": 1.3764294236898422, + "loss/hidden": 4.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.25221870094537735, + "step": 25 + }, + { + "epoch": 0.004333333333333333, + "grad_norm": 35.5, + "grad_norm_var": 11.048958333333333, + "learning_rate": 9.999571637870036e-05, + "loss": 7.6111, + "loss/crossentropy": 2.3533842265605927, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.19117553159594536, + "step": 26 + }, + { + "epoch": 0.0045, + "grad_norm": 40.25, + "grad_norm_var": 12.098958333333334, + "learning_rate": 9.99953668406007e-05, + "loss": 7.7699, + "loss/crossentropy": 1.930314987897873, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.24592405930161476, + "step": 27 + }, + { + "epoch": 0.004666666666666667, + "grad_norm": 41.25, + "grad_norm_var": 13.148958333333333, + "learning_rate": 9.999500359598768e-05, + "loss": 7.702, + "loss/crossentropy": 2.1383188664913177, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.1850673332810402, + "step": 28 + }, + { + "epoch": 0.004833333333333334, + "grad_norm": 36.75, + "grad_norm_var": 12.473958333333334, + "learning_rate": 9.999462664496088e-05, + "loss": 7.4131, + "loss/crossentropy": 2.1065402925014496, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.20391792058944702, + "step": 29 + }, + { + "epoch": 0.005, + "grad_norm": 34.75, + "grad_norm_var": 11.608072916666666, + "learning_rate": 9.999423598762363e-05, + "loss": 7.5963, + "loss/crossentropy": 2.387889564037323, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.18003453686833382, + "step": 30 + }, + { + "epoch": 0.005166666666666667, + "grad_norm": 34.25, + "grad_norm_var": 11.926822916666667, + "learning_rate": 9.999383162408304e-05, + "loss": 7.7149, + "loss/crossentropy": 1.8544995188713074, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.22001322731375694, + "step": 31 + }, + { + "epoch": 0.005333333333333333, + "grad_norm": 34.25, + "grad_norm_var": 10.907291666666667, + "learning_rate": 9.999341355444995e-05, + "loss": 7.7558, + "loss/crossentropy": 1.8552018105983734, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.19524798914790154, + "step": 32 + }, + { + "epoch": 0.0055, + "grad_norm": 37.25, + "grad_norm_var": 10.345833333333333, + "learning_rate": 9.999298177883903e-05, + "loss": 7.7273, + "loss/crossentropy": 1.7090170681476593, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.20817053690552711, + "step": 33 + }, + { + "epoch": 0.005666666666666667, + "grad_norm": 33.0, + "grad_norm_var": 9.718489583333334, + "learning_rate": 9.99925362973686e-05, + "loss": 7.5989, + "loss/crossentropy": 2.094772696495056, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.21507051959633827, + "step": 34 + }, + { + "epoch": 0.005833333333333334, + "grad_norm": 38.25, + "grad_norm_var": 6.883333333333334, + "learning_rate": 9.999207711016081e-05, + "loss": 7.8209, + "loss/crossentropy": 1.6093821227550507, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.21887024864554405, + "step": 35 + }, + { + "epoch": 0.006, + "grad_norm": 45.5, + "grad_norm_var": 12.033072916666667, + "learning_rate": 9.999160421734155e-05, + "loss": 7.4932, + "loss/crossentropy": 2.328737795352936, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.18808270618319511, + "step": 36 + }, + { + "epoch": 0.006166666666666667, + "grad_norm": 42.25, + "grad_norm_var": 13.555989583333334, + "learning_rate": 9.999111761904046e-05, + "loss": 7.6479, + "loss/crossentropy": 2.154049277305603, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.20653583109378815, + "step": 37 + }, + { + "epoch": 0.006333333333333333, + "grad_norm": 31.625, + "grad_norm_var": 14.1197265625, + "learning_rate": 9.999061731539094e-05, + "loss": 7.4967, + "loss/crossentropy": 2.116226941347122, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.20157190039753914, + "step": 38 + }, + { + "epoch": 0.0065, + "grad_norm": 31.0, + "grad_norm_var": 16.2603515625, + "learning_rate": 9.999010330653018e-05, + "loss": 7.4664, + "loss/crossentropy": 2.212589740753174, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.19786111637949944, + "step": 39 + }, + { + "epoch": 0.006666666666666667, + "grad_norm": 40.25, + "grad_norm_var": 16.470247395833333, + "learning_rate": 9.998957559259906e-05, + "loss": 7.6662, + "loss/crossentropy": 2.4179359674453735, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.23757457360625267, + "step": 40 + }, + { + "epoch": 0.006833333333333334, + "grad_norm": 37.25, + "grad_norm_var": 16.263997395833332, + "learning_rate": 9.998903417374228e-05, + "loss": 7.6428, + "loss/crossentropy": 2.329847365617752, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.19405298680067062, + "step": 41 + }, + { + "epoch": 0.007, + "grad_norm": 35.0, + "grad_norm_var": 16.3853515625, + "learning_rate": 9.998847905010826e-05, + "loss": 7.6838, + "loss/crossentropy": 1.7561518549919128, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.1967286802828312, + "step": 42 + }, + { + "epoch": 0.007166666666666667, + "grad_norm": 33.75, + "grad_norm_var": 16.256705729166665, + "learning_rate": 9.998791022184922e-05, + "loss": 7.5731, + "loss/crossentropy": 1.820853978395462, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.2205936461687088, + "step": 43 + }, + { + "epoch": 0.007333333333333333, + "grad_norm": 33.5, + "grad_norm_var": 15.2556640625, + "learning_rate": 9.998732768912104e-05, + "loss": 7.8459, + "loss/crossentropy": 1.3915326595306396, + "loss/hidden": 3.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.2971978336572647, + "step": 44 + }, + { + "epoch": 0.0075, + "grad_norm": 35.25, + "grad_norm_var": 15.2791015625, + "learning_rate": 9.99867314520835e-05, + "loss": 7.5113, + "loss/crossentropy": 1.7233994901180267, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.19584518671035767, + "step": 45 + }, + { + "epoch": 0.007666666666666666, + "grad_norm": 39.75, + "grad_norm_var": 15.961393229166667, + "learning_rate": 9.998612151090003e-05, + "loss": 7.6346, + "loss/crossentropy": 1.3916895985603333, + "loss/hidden": 3.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.24776612222194672, + "step": 46 + }, + { + "epoch": 0.007833333333333333, + "grad_norm": 37.5, + "grad_norm_var": 15.697330729166667, + "learning_rate": 9.998549786573785e-05, + "loss": 7.5357, + "loss/crossentropy": 1.95862877368927, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.2236441969871521, + "step": 47 + }, + { + "epoch": 0.008, + "grad_norm": 35.5, + "grad_norm_var": 15.4056640625, + "learning_rate": 9.998486051676792e-05, + "loss": 7.4207, + "loss/crossentropy": 1.8571364283561707, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.201379906386137, + "step": 48 + }, + { + "epoch": 0.008166666666666666, + "grad_norm": 37.0, + "grad_norm_var": 15.3900390625, + "learning_rate": 9.9984209464165e-05, + "loss": 7.6778, + "loss/crossentropy": 2.2022317349910736, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.18588031828403473, + "step": 49 + }, + { + "epoch": 0.008333333333333333, + "grad_norm": 34.5, + "grad_norm_var": 14.8009765625, + "learning_rate": 9.998354470810757e-05, + "loss": 7.7697, + "loss/crossentropy": 1.8480720520019531, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.3351767808198929, + "step": 50 + }, + { + "epoch": 0.0085, + "grad_norm": 35.75, + "grad_norm_var": 14.688997395833333, + "learning_rate": 9.998286624877786e-05, + "loss": 7.5311, + "loss/crossentropy": 1.880394697189331, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.20984028279781342, + "step": 51 + }, + { + "epoch": 0.008666666666666666, + "grad_norm": 38.75, + "grad_norm_var": 9.513997395833334, + "learning_rate": 9.99821740863619e-05, + "loss": 7.6409, + "loss/crossentropy": 2.4952712059020996, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.2372022569179535, + "step": 52 + }, + { + "epoch": 0.008833333333333334, + "grad_norm": 3892314112.0, + "grad_norm_var": 9.468818042568137e+17, + "learning_rate": 9.998146822104943e-05, + "loss": 9.0543, + "loss/crossentropy": 1.5961681604385376, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.18118682876229286, + "step": 53 + }, + { + "epoch": 0.009, + "grad_norm": 44.0, + "grad_norm_var": 9.468818038554188e+17, + "learning_rate": 9.998074865303399e-05, + "loss": 7.5862, + "loss/crossentropy": 2.1867645978927612, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.2127695530653, + "step": 54 + }, + { + "epoch": 0.009166666666666667, + "grad_norm": 36.75, + "grad_norm_var": 9.468818036689121e+17, + "learning_rate": 9.998001538251282e-05, + "loss": 7.6058, + "loss/crossentropy": 2.333953231573105, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1927742250263691, + "step": 55 + }, + { + "epoch": 0.009333333333333334, + "grad_norm": 37.25, + "grad_norm_var": 9.468818037662199e+17, + "learning_rate": 9.997926840968699e-05, + "loss": 7.3744, + "loss/crossentropy": 2.0817086696624756, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.21321595087647438, + "step": 56 + }, + { + "epoch": 0.0095, + "grad_norm": 35.5, + "grad_norm_var": 9.468818038229829e+17, + "learning_rate": 9.997850773476126e-05, + "loss": 7.5238, + "loss/crossentropy": 2.0765497386455536, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.20579104870557785, + "step": 57 + }, + { + "epoch": 0.009666666666666667, + "grad_norm": 34.0, + "grad_norm_var": 9.468818038554188e+17, + "learning_rate": 9.997773335794416e-05, + "loss": 7.4419, + "loss/crossentropy": 1.7816000133752823, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.20738175511360168, + "step": 58 + }, + { + "epoch": 0.009833333333333333, + "grad_norm": 34.5, + "grad_norm_var": 9.468818038310918e+17, + "learning_rate": 9.997694527944803e-05, + "loss": 7.5833, + "loss/crossentropy": 2.397744208574295, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.16810957714915276, + "step": 59 + }, + { + "epoch": 0.01, + "grad_norm": 36.75, + "grad_norm_var": 9.46881803725675e+17, + "learning_rate": 9.99761434994889e-05, + "loss": 7.5848, + "loss/crossentropy": 1.4827385395765305, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.18737642094492912, + "step": 60 + }, + { + "epoch": 0.010166666666666666, + "grad_norm": 32.25, + "grad_norm_var": 9.468818038229829e+17, + "learning_rate": 9.997532801828658e-05, + "loss": 7.4993, + "loss/crossentropy": 2.182910054922104, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.20538238808512688, + "step": 61 + }, + { + "epoch": 0.010333333333333333, + "grad_norm": 34.75, + "grad_norm_var": 9.468818039851626e+17, + "learning_rate": 9.997449883606466e-05, + "loss": 7.6736, + "loss/crossentropy": 2.0504411458969116, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.19961906969547272, + "step": 62 + }, + { + "epoch": 0.0105, + "grad_norm": 31.875, + "grad_norm_var": 9.468818041676148e+17, + "learning_rate": 9.997365595305044e-05, + "loss": 7.5312, + "loss/crossentropy": 1.8536975383758545, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1750146523118019, + "step": 63 + }, + { + "epoch": 0.010666666666666666, + "grad_norm": 35.5, + "grad_norm_var": 9.468818041676148e+17, + "learning_rate": 9.997279936947502e-05, + "loss": 7.6283, + "loss/crossentropy": 1.9070446193218231, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1809525452554226, + "step": 64 + }, + { + "epoch": 0.010833333333333334, + "grad_norm": 34.0, + "grad_norm_var": 9.468818042649226e+17, + "learning_rate": 9.997192908557323e-05, + "loss": 7.5086, + "loss/crossentropy": 1.9207460284233093, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.17440685257315636, + "step": 65 + }, + { + "epoch": 0.011, + "grad_norm": 36.75, + "grad_norm_var": 9.468818041919418e+17, + "learning_rate": 9.997104510158365e-05, + "loss": 7.3597, + "loss/crossentropy": 2.178062379360199, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.20515967160463333, + "step": 66 + }, + { + "epoch": 0.011166666666666667, + "grad_norm": 39.5, + "grad_norm_var": 9.46881804070307e+17, + "learning_rate": 9.997014741774866e-05, + "loss": 7.7332, + "loss/crossentropy": 2.0632802546024323, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.2130327671766281, + "step": 67 + }, + { + "epoch": 0.011333333333333334, + "grad_norm": 33.0, + "grad_norm_var": 9.468818042568137e+17, + "learning_rate": 9.996923603431433e-05, + "loss": 7.4813, + "loss/crossentropy": 2.3944068551063538, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.190116498619318, + "step": 68 + }, + { + "epoch": 0.0115, + "grad_norm": 34.0, + "grad_norm_var": 8.9275390625, + "learning_rate": 9.996831095153055e-05, + "loss": 7.4656, + "loss/crossentropy": 1.6360968053340912, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.19409537687897682, + "step": 69 + }, + { + "epoch": 0.011666666666666667, + "grad_norm": 42.25, + "grad_norm_var": 7.170247395833333, + "learning_rate": 9.996737216965092e-05, + "loss": 7.6666, + "loss/crossentropy": 1.496591791510582, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.2146080546081066, + "step": 70 + }, + { + "epoch": 0.011833333333333333, + "grad_norm": 35.75, + "grad_norm_var": 7.0712890625, + "learning_rate": 9.996641968893282e-05, + "loss": 7.4798, + "loss/crossentropy": 2.3171346783638, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18420026078820229, + "step": 71 + }, + { + "epoch": 0.012, + "grad_norm": 33.75, + "grad_norm_var": 7.009309895833334, + "learning_rate": 9.996545350963738e-05, + "loss": 7.5509, + "loss/crossentropy": 1.4588509052991867, + "loss/hidden": 3.7109375, + "loss/jsd": 0.0, + "loss/logits": 0.2755301594734192, + "step": 72 + }, + { + "epoch": 0.012166666666666666, + "grad_norm": 31.875, + "grad_norm_var": 7.713541666666667, + "learning_rate": 9.996447363202946e-05, + "loss": 7.4458, + "loss/crossentropy": 2.4704632461071014, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.2312110774219036, + "step": 73 + }, + { + "epoch": 0.012333333333333333, + "grad_norm": 30.5, + "grad_norm_var": 8.960416666666667, + "learning_rate": 9.996348005637775e-05, + "loss": 7.3695, + "loss/crossentropy": 2.1731217801570892, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.19828997924923897, + "step": 74 + }, + { + "epoch": 0.0125, + "grad_norm": 37.25, + "grad_norm_var": 9.318489583333333, + "learning_rate": 9.996247278295458e-05, + "loss": 7.5469, + "loss/crossentropy": 1.7659152448177338, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.23145361244678497, + "step": 75 + }, + { + "epoch": 0.012666666666666666, + "grad_norm": 32.5, + "grad_norm_var": 9.446875, + "learning_rate": 9.996145181203615e-05, + "loss": 7.678, + "loss/crossentropy": 2.506075084209442, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.22724350914359093, + "step": 76 + }, + { + "epoch": 0.012833333333333334, + "grad_norm": 35.5, + "grad_norm_var": 9.037239583333333, + "learning_rate": 9.996041714390235e-05, + "loss": 7.7375, + "loss/crossentropy": 1.8532120883464813, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.2014121375977993, + "step": 77 + }, + { + "epoch": 0.013, + "grad_norm": 34.25, + "grad_norm_var": 9.064322916666667, + "learning_rate": 9.995936877883682e-05, + "loss": 7.6128, + "loss/crossentropy": 2.0054582357406616, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.2382129207253456, + "step": 78 + }, + { + "epoch": 0.013166666666666667, + "grad_norm": 34.75, + "grad_norm_var": 8.424934895833333, + "learning_rate": 9.9958306717127e-05, + "loss": 7.636, + "loss/crossentropy": 2.062336191534996, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.2009948529303074, + "step": 79 + }, + { + "epoch": 0.013333333333333334, + "grad_norm": 32.5, + "grad_norm_var": 8.815559895833333, + "learning_rate": 9.995723095906407e-05, + "loss": 7.8122, + "loss/crossentropy": 2.1655342876911163, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1831391118466854, + "step": 80 + }, + { + "epoch": 0.0135, + "grad_norm": 34.75, + "grad_norm_var": 8.762434895833334, + "learning_rate": 9.995614150494293e-05, + "loss": 7.9923, + "loss/crossentropy": 1.973993867635727, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.22885655611753464, + "step": 81 + }, + { + "epoch": 0.013666666666666667, + "grad_norm": 34.5, + "grad_norm_var": 8.532747395833333, + "learning_rate": 9.995503835506226e-05, + "loss": 7.5239, + "loss/crossentropy": 1.8596991300582886, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.2005896307528019, + "step": 82 + }, + { + "epoch": 0.013833333333333333, + "grad_norm": 37.5, + "grad_norm_var": 7.526497395833333, + "learning_rate": 9.995392150972451e-05, + "loss": 7.7656, + "loss/crossentropy": 1.86503666639328, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.2173938862979412, + "step": 83 + }, + { + "epoch": 0.014, + "grad_norm": 35.0, + "grad_norm_var": 7.332747395833334, + "learning_rate": 9.995279096923585e-05, + "loss": 7.5828, + "loss/crossentropy": 1.962416633963585, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18989747390151024, + "step": 84 + }, + { + "epoch": 0.014166666666666666, + "grad_norm": 41.0, + "grad_norm_var": 9.6587890625, + "learning_rate": 9.995164673390625e-05, + "loss": 7.5712, + "loss/crossentropy": 2.5914260745048523, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.20670515671372414, + "step": 85 + }, + { + "epoch": 0.014333333333333333, + "grad_norm": 33.25, + "grad_norm_var": 6.2931640625, + "learning_rate": 9.995048880404938e-05, + "loss": 7.3591, + "loss/crossentropy": 2.336932420730591, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.18983342498540878, + "step": 86 + }, + { + "epoch": 0.0145, + "grad_norm": 35.25, + "grad_norm_var": 6.236393229166667, + "learning_rate": 9.994931717998272e-05, + "loss": 7.3482, + "loss/crossentropy": 1.9553337693214417, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.19011887535452843, + "step": 87 + }, + { + "epoch": 0.014666666666666666, + "grad_norm": 37.5, + "grad_norm_var": 6.673893229166667, + "learning_rate": 9.994813186202747e-05, + "loss": 7.478, + "loss/crossentropy": 2.452618956565857, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.21071349829435349, + "step": 88 + }, + { + "epoch": 0.014833333333333334, + "grad_norm": 34.25, + "grad_norm_var": 6.07890625, + "learning_rate": 9.994693285050857e-05, + "loss": 7.6646, + "loss/crossentropy": 2.002704292535782, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.19795797765254974, + "step": 89 + }, + { + "epoch": 0.015, + "grad_norm": 33.5, + "grad_norm_var": 4.83515625, + "learning_rate": 9.994572014575476e-05, + "loss": 7.6191, + "loss/crossentropy": 2.026648461818695, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.2158929705619812, + "step": 90 + }, + { + "epoch": 0.015166666666666667, + "grad_norm": 39.5, + "grad_norm_var": 5.765625, + "learning_rate": 9.994449374809851e-05, + "loss": 7.6762, + "loss/crossentropy": 1.731523722410202, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.21968171373009682, + "step": 91 + }, + { + "epoch": 0.015333333333333332, + "grad_norm": 35.25, + "grad_norm_var": 5.195572916666666, + "learning_rate": 9.994325365787602e-05, + "loss": 7.5381, + "loss/crossentropy": 1.7570662796497345, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.1964312382042408, + "step": 92 + }, + { + "epoch": 0.0155, + "grad_norm": 32.0, + "grad_norm_var": 5.968489583333334, + "learning_rate": 9.99419998754273e-05, + "loss": 7.6536, + "loss/crossentropy": 2.0444860458374023, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.18911006674170494, + "step": 93 + }, + { + "epoch": 0.015666666666666666, + "grad_norm": 36.5, + "grad_norm_var": 5.970833333333333, + "learning_rate": 9.994073240109606e-05, + "loss": 7.289, + "loss/crossentropy": 1.5085659623146057, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.21490458399057388, + "step": 94 + }, + { + "epoch": 0.015833333333333335, + "grad_norm": 33.0, + "grad_norm_var": 6.32265625, + "learning_rate": 9.993945123522978e-05, + "loss": 7.5972, + "loss/crossentropy": 2.1204091608524323, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.23001987114548683, + "step": 95 + }, + { + "epoch": 0.016, + "grad_norm": 32.25, + "grad_norm_var": 6.420833333333333, + "learning_rate": 9.993815637817974e-05, + "loss": 7.5514, + "loss/crossentropy": 1.894325166940689, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.2360989861190319, + "step": 96 + }, + { + "epoch": 0.016166666666666666, + "grad_norm": 31.5, + "grad_norm_var": 7.324739583333334, + "learning_rate": 9.993684783030088e-05, + "loss": 7.5417, + "loss/crossentropy": 2.4975918531417847, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.18466202914714813, + "step": 97 + }, + { + "epoch": 0.01633333333333333, + "grad_norm": 36.25, + "grad_norm_var": 7.373958333333333, + "learning_rate": 9.993552559195197e-05, + "loss": 7.6344, + "loss/crossentropy": 1.989092081785202, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1912154033780098, + "step": 98 + }, + { + "epoch": 0.0165, + "grad_norm": 32.5, + "grad_norm_var": 7.415625, + "learning_rate": 9.993418966349552e-05, + "loss": 7.5109, + "loss/crossentropy": 1.8851015269756317, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.22884799912571907, + "step": 99 + }, + { + "epoch": 0.016666666666666666, + "grad_norm": 33.75, + "grad_norm_var": 7.49765625, + "learning_rate": 9.993284004529775e-05, + "loss": 7.626, + "loss/crossentropy": 2.0821548998355865, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.20658370107412338, + "step": 100 + }, + { + "epoch": 0.016833333333333332, + "grad_norm": 37.0, + "grad_norm_var": 5.205989583333333, + "learning_rate": 9.99314767377287e-05, + "loss": 7.6134, + "loss/crossentropy": 1.843286544084549, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.17371157929301262, + "step": 101 + }, + { + "epoch": 0.017, + "grad_norm": 32.25, + "grad_norm_var": 5.445572916666666, + "learning_rate": 9.993009974116211e-05, + "loss": 7.4303, + "loss/crossentropy": 1.877230018377304, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1641155332326889, + "step": 102 + }, + { + "epoch": 0.017166666666666667, + "grad_norm": 34.75, + "grad_norm_var": 5.412239583333333, + "learning_rate": 9.992870905597548e-05, + "loss": 7.6667, + "loss/crossentropy": 1.8796460777521133, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.2002221643924713, + "step": 103 + }, + { + "epoch": 0.017333333333333333, + "grad_norm": 32.75, + "grad_norm_var": 4.9125, + "learning_rate": 9.992730468255011e-05, + "loss": 7.4821, + "loss/crossentropy": 2.3127494156360626, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.23374580964446068, + "step": 104 + }, + { + "epoch": 0.0175, + "grad_norm": 32.75, + "grad_norm_var": 5.040625, + "learning_rate": 9.9925886621271e-05, + "loss": 7.5845, + "loss/crossentropy": 2.3329984545707703, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18831797316670418, + "step": 105 + }, + { + "epoch": 0.017666666666666667, + "grad_norm": 34.25, + "grad_norm_var": 5.01640625, + "learning_rate": 9.992445487252691e-05, + "loss": 7.7497, + "loss/crossentropy": 1.9553033113479614, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.20208366215229034, + "step": 106 + }, + { + "epoch": 0.017833333333333333, + "grad_norm": 32.25, + "grad_norm_var": 3.120833333333333, + "learning_rate": 9.992300943671036e-05, + "loss": 7.747, + "loss/crossentropy": 2.0242276191711426, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.20480553060770035, + "step": 107 + }, + { + "epoch": 0.018, + "grad_norm": 32.75, + "grad_norm_var": 2.990625, + "learning_rate": 9.992155031421764e-05, + "loss": 7.6461, + "loss/crossentropy": 2.40230530500412, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.20634019374847412, + "step": 108 + }, + { + "epoch": 0.018166666666666668, + "grad_norm": 35.75, + "grad_norm_var": 3.10390625, + "learning_rate": 9.992007750544876e-05, + "loss": 7.7688, + "loss/crossentropy": 2.1990231573581696, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.2241741679608822, + "step": 109 + }, + { + "epoch": 0.018333333333333333, + "grad_norm": 39.75, + "grad_norm_var": 4.948958333333334, + "learning_rate": 9.991859101080751e-05, + "loss": 7.5167, + "loss/crossentropy": 2.2589714527130127, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.19577842950820923, + "step": 110 + }, + { + "epoch": 0.0185, + "grad_norm": 37.5, + "grad_norm_var": 5.633333333333334, + "learning_rate": 9.991709083070143e-05, + "loss": 7.633, + "loss/crossentropy": 1.8160150349140167, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.19760573282837868, + "step": 111 + }, + { + "epoch": 0.018666666666666668, + "grad_norm": 35.5, + "grad_norm_var": 5.426822916666667, + "learning_rate": 9.991557696554177e-05, + "loss": 7.5491, + "loss/crossentropy": 1.7978153824806213, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.20516641810536385, + "step": 112 + }, + { + "epoch": 0.018833333333333334, + "grad_norm": 33.25, + "grad_norm_var": 4.929166666666666, + "learning_rate": 9.991404941574361e-05, + "loss": 7.5255, + "loss/crossentropy": 1.8384543657302856, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.21306686475872993, + "step": 113 + }, + { + "epoch": 0.019, + "grad_norm": 34.0, + "grad_norm_var": 4.739322916666667, + "learning_rate": 9.99125081817257e-05, + "loss": 7.632, + "loss/crossentropy": 2.0940029323101044, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1923641823232174, + "step": 114 + }, + { + "epoch": 0.019166666666666665, + "grad_norm": 34.75, + "grad_norm_var": 4.479166666666667, + "learning_rate": 9.99109532639106e-05, + "loss": 7.6103, + "loss/crossentropy": 1.9544528722763062, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.20644604787230492, + "step": 115 + }, + { + "epoch": 0.019333333333333334, + "grad_norm": 36.75, + "grad_norm_var": 4.716666666666667, + "learning_rate": 9.990938466272459e-05, + "loss": 7.9127, + "loss/crossentropy": 1.4137312471866608, + "loss/hidden": 4.03125, + "loss/jsd": 0.0, + "loss/logits": 0.2494000941514969, + "step": 116 + }, + { + "epoch": 0.0195, + "grad_norm": 34.0, + "grad_norm_var": 4.379166666666666, + "learning_rate": 9.990780237859769e-05, + "loss": 7.438, + "loss/crossentropy": 2.170451670885086, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.21506188064813614, + "step": 117 + }, + { + "epoch": 0.019666666666666666, + "grad_norm": 35.0, + "grad_norm_var": 4.00390625, + "learning_rate": 9.990620641196374e-05, + "loss": 7.6142, + "loss/crossentropy": 1.825675517320633, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.22746910154819489, + "step": 118 + }, + { + "epoch": 0.019833333333333335, + "grad_norm": 35.25, + "grad_norm_var": 4.020572916666667, + "learning_rate": 9.990459676326024e-05, + "loss": 7.5651, + "loss/crossentropy": 1.8035025298595428, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.19320307672023773, + "step": 119 + }, + { + "epoch": 0.02, + "grad_norm": 34.5, + "grad_norm_var": 3.7416666666666667, + "learning_rate": 9.990297343292851e-05, + "loss": 7.5561, + "loss/crossentropy": 1.9253360033035278, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.2591675706207752, + "step": 120 + }, + { + "epoch": 0.020166666666666666, + "grad_norm": 31.75, + "grad_norm_var": 4.0875, + "learning_rate": 9.990133642141359e-05, + "loss": 7.6589, + "loss/crossentropy": 1.8767026662826538, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.21068845689296722, + "step": 121 + }, + { + "epoch": 0.02033333333333333, + "grad_norm": 30.25, + "grad_norm_var": 5.3875, + "learning_rate": 9.989968572916426e-05, + "loss": 7.3897, + "loss/crossentropy": 2.0437765419483185, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.18460320681333542, + "step": 122 + }, + { + "epoch": 0.0205, + "grad_norm": 34.0, + "grad_norm_var": 5.039322916666666, + "learning_rate": 9.989802135663308e-05, + "loss": 7.7519, + "loss/crossentropy": 2.150317758321762, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17747429013252258, + "step": 123 + }, + { + "epoch": 0.020666666666666667, + "grad_norm": 33.25, + "grad_norm_var": 4.926822916666667, + "learning_rate": 9.989634330427636e-05, + "loss": 7.5183, + "loss/crossentropy": 2.179547756910324, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.19693326577544212, + "step": 124 + }, + { + "epoch": 0.020833333333333332, + "grad_norm": 38.0, + "grad_norm_var": 5.557291666666667, + "learning_rate": 9.989465157255412e-05, + "loss": 7.6732, + "loss/crossentropy": 1.4548255801200867, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.21135981380939484, + "step": 125 + }, + { + "epoch": 0.021, + "grad_norm": 32.75, + "grad_norm_var": 4.040625, + "learning_rate": 9.989294616193017e-05, + "loss": 7.5373, + "loss/crossentropy": 1.7414255142211914, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.19686686992645264, + "step": 126 + }, + { + "epoch": 0.021166666666666667, + "grad_norm": 34.5, + "grad_norm_var": 3.365625, + "learning_rate": 9.989122707287208e-05, + "loss": 7.429, + "loss/crossentropy": 1.8234748244285583, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.21972696483135223, + "step": 127 + }, + { + "epoch": 0.021333333333333333, + "grad_norm": 32.25, + "grad_norm_var": 3.470572916666667, + "learning_rate": 9.988949430585111e-05, + "loss": 7.3455, + "loss/crossentropy": 2.2222295701503754, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.198114313185215, + "step": 128 + }, + { + "epoch": 0.0215, + "grad_norm": 34.75, + "grad_norm_var": 3.4580729166666666, + "learning_rate": 9.988774786134234e-05, + "loss": 7.241, + "loss/crossentropy": 1.9216758608818054, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.19330840185284615, + "step": 129 + }, + { + "epoch": 0.021666666666666667, + "grad_norm": 34.75, + "grad_norm_var": 3.482291666666667, + "learning_rate": 9.988598773982454e-05, + "loss": 7.4434, + "loss/crossentropy": 2.1256333589553833, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.18051563948392868, + "step": 130 + }, + { + "epoch": 0.021833333333333333, + "grad_norm": 35.75, + "grad_norm_var": 3.6239583333333334, + "learning_rate": 9.988421394178027e-05, + "loss": 7.4113, + "loss/crossentropy": 1.7447483539581299, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.17246215045452118, + "step": 131 + }, + { + "epoch": 0.022, + "grad_norm": 4764729344.0, + "grad_norm_var": 1.4189153373185377e+18, + "learning_rate": 9.988242646769584e-05, + "loss": 8.3899, + "loss/crossentropy": 2.1333084404468536, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.16892877966165543, + "step": 132 + }, + { + "epoch": 0.022166666666666668, + "grad_norm": 51.5, + "grad_norm_var": 1.4189153366236813e+18, + "learning_rate": 9.988062531806126e-05, + "loss": 7.651, + "loss/crossentropy": 2.1121655106544495, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.21801284700632095, + "step": 133 + }, + { + "epoch": 0.022333333333333334, + "grad_norm": 36.0, + "grad_norm_var": 1.4189153365839752e+18, + "learning_rate": 9.987881049337037e-05, + "loss": 7.6569, + "loss/crossentropy": 2.126715511083603, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.17747924476861954, + "step": 134 + }, + { + "epoch": 0.0225, + "grad_norm": 36.5, + "grad_norm_var": 1.4189153365343427e+18, + "learning_rate": 9.98769819941207e-05, + "loss": 7.5295, + "loss/crossentropy": 1.5165286213159561, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.18346380814909935, + "step": 135 + }, + { + "epoch": 0.02266666666666667, + "grad_norm": 36.0, + "grad_norm_var": 1.4189153364747835e+18, + "learning_rate": 9.987513982081351e-05, + "loss": 7.6529, + "loss/crossentropy": 2.180388480424881, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1846754401922226, + "step": 136 + }, + { + "epoch": 0.022833333333333334, + "grad_norm": 38.75, + "grad_norm_var": 1.418915336196841e+18, + "learning_rate": 9.987328397395387e-05, + "loss": 7.5096, + "loss/crossentropy": 1.550091952085495, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.21606271341443062, + "step": 137 + }, + { + "epoch": 0.023, + "grad_norm": 33.0, + "grad_norm_var": 1.4189153360876493e+18, + "learning_rate": 9.98714144540506e-05, + "loss": 7.3931, + "loss/crossentropy": 1.9342282861471176, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.17885055765509605, + "step": 138 + }, + { + "epoch": 0.023166666666666665, + "grad_norm": 34.0, + "grad_norm_var": 1.4189153360876493e+18, + "learning_rate": 9.986953126161619e-05, + "loss": 7.7534, + "loss/crossentropy": 2.200897455215454, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.18954262882471085, + "step": 139 + }, + { + "epoch": 0.023333333333333334, + "grad_norm": 33.0, + "grad_norm_var": 1.418915336097576e+18, + "learning_rate": 9.986763439716696e-05, + "loss": 7.4196, + "loss/crossentropy": 1.475202739238739, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.23384485766291618, + "step": 140 + }, + { + "epoch": 0.0235, + "grad_norm": 33.0, + "grad_norm_var": 1.4189153362961062e+18, + "learning_rate": 9.986572386122291e-05, + "loss": 7.4049, + "loss/crossentropy": 2.3447420597076416, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17187193408608437, + "step": 141 + }, + { + "epoch": 0.023666666666666666, + "grad_norm": 33.0, + "grad_norm_var": 1.4189153362861796e+18, + "learning_rate": 9.986379965430786e-05, + "loss": 7.4261, + "loss/crossentropy": 1.6609918773174286, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.21596155688166618, + "step": 142 + }, + { + "epoch": 0.023833333333333335, + "grad_norm": 33.25, + "grad_norm_var": 1.4189153363358124e+18, + "learning_rate": 9.986186177694933e-05, + "loss": 7.4133, + "loss/crossentropy": 1.975971281528473, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.23497482761740685, + "step": 143 + }, + { + "epoch": 0.024, + "grad_norm": 31.375, + "grad_norm_var": 1.4189153363705551e+18, + "learning_rate": 9.98599102296786e-05, + "loss": 7.3945, + "loss/crossentropy": 2.0418002009391785, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16329874098300934, + "step": 144 + }, + { + "epoch": 0.024166666666666666, + "grad_norm": 33.0, + "grad_norm_var": 1.4189153364400407e+18, + "learning_rate": 9.98579450130307e-05, + "loss": 7.3843, + "loss/crossentropy": 2.586931586265564, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1923389546573162, + "step": 145 + }, + { + "epoch": 0.024333333333333332, + "grad_norm": 34.5, + "grad_norm_var": 1.4189153364499674e+18, + "learning_rate": 9.985596612754439e-05, + "loss": 7.4617, + "loss/crossentropy": 1.9469241201877594, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.20261790975928307, + "step": 146 + }, + { + "epoch": 0.0245, + "grad_norm": 31.25, + "grad_norm_var": 1.4189153366286446e+18, + "learning_rate": 9.985397357376222e-05, + "loss": 7.3902, + "loss/crossentropy": 1.696748986840248, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.19723523408174515, + "step": 147 + }, + { + "epoch": 0.024666666666666667, + "grad_norm": 31.25, + "grad_norm_var": 23.741080729166665, + "learning_rate": 9.985196735223045e-05, + "loss": 7.4262, + "loss/crossentropy": 2.287366271018982, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.26205524802207947, + "step": 148 + }, + { + "epoch": 0.024833333333333332, + "grad_norm": 31.75, + "grad_norm_var": 4.567122395833334, + "learning_rate": 9.98499474634991e-05, + "loss": 7.4602, + "loss/crossentropy": 1.4745359420776367, + "loss/hidden": 3.83984375, + "loss/jsd": 0.0, + "loss/logits": 0.2730640843510628, + "step": 149 + }, + { + "epoch": 0.025, + "grad_norm": 35.25, + "grad_norm_var": 4.374934895833333, + "learning_rate": 9.98479139081219e-05, + "loss": 7.3909, + "loss/crossentropy": 1.870820164680481, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18368100002408028, + "step": 150 + }, + { + "epoch": 0.025166666666666667, + "grad_norm": 38.75, + "grad_norm_var": 5.537434895833333, + "learning_rate": 9.98458666866564e-05, + "loss": 7.4975, + "loss/crossentropy": 2.1191659569740295, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.16690556704998016, + "step": 151 + }, + { + "epoch": 0.025333333333333333, + "grad_norm": 34.25, + "grad_norm_var": 5.220247395833334, + "learning_rate": 9.984380579966385e-05, + "loss": 7.7115, + "loss/crossentropy": 2.406974196434021, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.17666110768914223, + "step": 152 + }, + { + "epoch": 0.0255, + "grad_norm": 43.25, + "grad_norm_var": 9.509309895833333, + "learning_rate": 9.984173124770923e-05, + "loss": 7.4866, + "loss/crossentropy": 1.3131984770298004, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.21505622193217278, + "step": 153 + }, + { + "epoch": 0.025666666666666667, + "grad_norm": 62.25, + "grad_norm_var": 59.11243489583333, + "learning_rate": 9.983964303136133e-05, + "loss": 7.5887, + "loss/crossentropy": 2.2332249581813812, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1927255503833294, + "step": 154 + }, + { + "epoch": 0.025833333333333333, + "grad_norm": 36.0, + "grad_norm_var": 58.877018229166666, + "learning_rate": 9.983754115119261e-05, + "loss": 7.3739, + "loss/crossentropy": 2.257663667201996, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.19335689023137093, + "step": 155 + }, + { + "epoch": 0.026, + "grad_norm": 35.25, + "grad_norm_var": 58.30983072916667, + "learning_rate": 9.983542560777935e-05, + "loss": 7.366, + "loss/crossentropy": 2.3022145330905914, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.19260798767209053, + "step": 156 + }, + { + "epoch": 0.026166666666666668, + "grad_norm": 32.75, + "grad_norm_var": 58.4166015625, + "learning_rate": 9.983329640170149e-05, + "loss": 7.2797, + "loss/crossentropy": 2.1898127794265747, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.17687095701694489, + "step": 157 + }, + { + "epoch": 0.026333333333333334, + "grad_norm": 35.0, + "grad_norm_var": 57.8478515625, + "learning_rate": 9.983115353354281e-05, + "loss": 7.2904, + "loss/crossentropy": 1.9066053628921509, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.18648065626621246, + "step": 158 + }, + { + "epoch": 0.0265, + "grad_norm": 32.5, + "grad_norm_var": 58.1775390625, + "learning_rate": 9.982899700389076e-05, + "loss": 7.3832, + "loss/crossentropy": 2.1338255405426025, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.19225289300084114, + "step": 159 + }, + { + "epoch": 0.02666666666666667, + "grad_norm": 33.5, + "grad_norm_var": 57.10729166666667, + "learning_rate": 9.982682681333658e-05, + "loss": 7.545, + "loss/crossentropy": 1.81405907869339, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.26101674512028694, + "step": 160 + }, + { + "epoch": 0.026833333333333334, + "grad_norm": 31.0, + "grad_norm_var": 58.23229166666667, + "learning_rate": 9.982464296247522e-05, + "loss": 7.3965, + "loss/crossentropy": 1.7653635740280151, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.16505191847682, + "step": 161 + }, + { + "epoch": 0.027, + "grad_norm": 33.75, + "grad_norm_var": 58.43307291666667, + "learning_rate": 9.982244545190542e-05, + "loss": 7.6282, + "loss/crossentropy": 2.5411963760852814, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.17197951674461365, + "step": 162 + }, + { + "epoch": 0.027166666666666665, + "grad_norm": 34.5, + "grad_norm_var": 56.9875, + "learning_rate": 9.982023428222962e-05, + "loss": 7.5649, + "loss/crossentropy": 2.2835691571235657, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.170682180672884, + "step": 163 + }, + { + "epoch": 0.027333333333333334, + "grad_norm": 34.5, + "grad_norm_var": 55.45390625, + "learning_rate": 9.981800945405403e-05, + "loss": 7.3372, + "loss/crossentropy": 1.8672804236412048, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18279783055186272, + "step": 164 + }, + { + "epoch": 0.0275, + "grad_norm": 32.5, + "grad_norm_var": 55.0125, + "learning_rate": 9.981577096798863e-05, + "loss": 7.4292, + "loss/crossentropy": 2.196858048439026, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.20737188681960106, + "step": 165 + }, + { + "epoch": 0.027666666666666666, + "grad_norm": 33.0, + "grad_norm_var": 55.72265625, + "learning_rate": 9.981351882464706e-05, + "loss": 7.3918, + "loss/crossentropy": 1.4880334436893463, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.18119842186570168, + "step": 166 + }, + { + "epoch": 0.027833333333333335, + "grad_norm": 33.5, + "grad_norm_var": 55.815625, + "learning_rate": 9.98112530246468e-05, + "loss": 7.6041, + "loss/crossentropy": 1.750911384820938, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.22705931961536407, + "step": 167 + }, + { + "epoch": 0.028, + "grad_norm": 32.25, + "grad_norm_var": 56.557291666666664, + "learning_rate": 9.980897356860901e-05, + "loss": 7.3669, + "loss/crossentropy": 2.3639559745788574, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.18918512016534805, + "step": 168 + }, + { + "epoch": 0.028166666666666666, + "grad_norm": 34.5, + "grad_norm_var": 52.84765625, + "learning_rate": 9.980668045715864e-05, + "loss": 7.1801, + "loss/crossentropy": 1.6124536395072937, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.18172302469611168, + "step": 169 + }, + { + "epoch": 0.028333333333333332, + "grad_norm": 32.25, + "grad_norm_var": 1.78515625, + "learning_rate": 9.980437369092431e-05, + "loss": 7.416, + "loss/crossentropy": 1.8924128711223602, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.21137376129627228, + "step": 170 + }, + { + "epoch": 0.0285, + "grad_norm": 30.875, + "grad_norm_var": 1.7504557291666667, + "learning_rate": 9.980205327053848e-05, + "loss": 7.4528, + "loss/crossentropy": 2.1068821847438812, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.18312924355268478, + "step": 171 + }, + { + "epoch": 0.028666666666666667, + "grad_norm": 32.25, + "grad_norm_var": 1.5035807291666667, + "learning_rate": 9.97997191966373e-05, + "loss": 7.4162, + "loss/crossentropy": 2.0754112005233765, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.22328588366508484, + "step": 172 + }, + { + "epoch": 0.028833333333333332, + "grad_norm": 35.0, + "grad_norm_var": 1.7332682291666666, + "learning_rate": 9.979737146986064e-05, + "loss": 7.5125, + "loss/crossentropy": 2.3532181680202484, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.22559839859604836, + "step": 173 + }, + { + "epoch": 0.029, + "grad_norm": 35.25, + "grad_norm_var": 1.7978515625, + "learning_rate": 9.979501009085219e-05, + "loss": 7.4562, + "loss/crossentropy": 1.6273760348558426, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.21030885353684425, + "step": 174 + }, + { + "epoch": 0.029166666666666667, + "grad_norm": 32.75, + "grad_norm_var": 1.7785807291666667, + "learning_rate": 9.979263506025929e-05, + "loss": 7.3699, + "loss/crossentropy": 2.250314712524414, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.18598228693008423, + "step": 175 + }, + { + "epoch": 0.029333333333333333, + "grad_norm": 32.25, + "grad_norm_var": 1.8280598958333334, + "learning_rate": 9.97902463787331e-05, + "loss": 7.6712, + "loss/crossentropy": 2.358814984560013, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.2859685495495796, + "step": 176 + }, + { + "epoch": 0.0295, + "grad_norm": 36.25, + "grad_norm_var": 2.057747395833333, + "learning_rate": 9.978784404692847e-05, + "loss": 7.6947, + "loss/crossentropy": 2.178271234035492, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.26804234459996223, + "step": 177 + }, + { + "epoch": 0.029666666666666668, + "grad_norm": 33.5, + "grad_norm_var": 2.052018229166667, + "learning_rate": 9.978542806550402e-05, + "loss": 7.4962, + "loss/crossentropy": 2.2716058492660522, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.2189769595861435, + "step": 178 + }, + { + "epoch": 0.029833333333333333, + "grad_norm": 34.75, + "grad_norm_var": 2.091080729166667, + "learning_rate": 9.97829984351221e-05, + "loss": 7.4731, + "loss/crossentropy": 1.6302326619625092, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.2534990794956684, + "step": 179 + }, + { + "epoch": 0.03, + "grad_norm": 34.5, + "grad_norm_var": 2.091080729166667, + "learning_rate": 9.978055515644882e-05, + "loss": 7.4943, + "loss/crossentropy": 2.0229054391384125, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1985248290002346, + "step": 180 + }, + { + "epoch": 0.030166666666666668, + "grad_norm": 30.625, + "grad_norm_var": 2.551041666666667, + "learning_rate": 9.977809823015401e-05, + "loss": 7.4271, + "loss/crossentropy": 2.0079747140407562, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.20629949867725372, + "step": 181 + }, + { + "epoch": 0.030333333333333334, + "grad_norm": 33.0, + "grad_norm_var": 2.551041666666667, + "learning_rate": 9.977562765691124e-05, + "loss": 7.6382, + "loss/crossentropy": 1.7329024523496628, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.19635221734642982, + "step": 182 + }, + { + "epoch": 0.0305, + "grad_norm": 34.5, + "grad_norm_var": 2.634375, + "learning_rate": 9.977314343739786e-05, + "loss": 7.3619, + "loss/crossentropy": 2.4734097719192505, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1726227030158043, + "step": 183 + }, + { + "epoch": 0.030666666666666665, + "grad_norm": 42.25, + "grad_norm_var": 7.342708333333333, + "learning_rate": 9.977064557229492e-05, + "loss": 7.2131, + "loss/crossentropy": 2.2143907845020294, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1918102391064167, + "step": 184 + }, + { + "epoch": 0.030833333333333334, + "grad_norm": 31.75, + "grad_norm_var": 7.643489583333333, + "learning_rate": 9.97681340622872e-05, + "loss": 7.2733, + "loss/crossentropy": 2.179398685693741, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.2045028991997242, + "step": 185 + }, + { + "epoch": 0.031, + "grad_norm": 31.75, + "grad_norm_var": 7.76640625, + "learning_rate": 9.976560890806328e-05, + "loss": 7.3599, + "loss/crossentropy": 1.8209953606128693, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.1990818865597248, + "step": 186 + }, + { + "epoch": 0.031166666666666665, + "grad_norm": 35.75, + "grad_norm_var": 7.3322265625, + "learning_rate": 9.976307011031542e-05, + "loss": 7.4989, + "loss/crossentropy": 1.6905051469802856, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.2631871812045574, + "step": 187 + }, + { + "epoch": 0.03133333333333333, + "grad_norm": 32.5, + "grad_norm_var": 7.273372395833333, + "learning_rate": 9.976051766973966e-05, + "loss": 7.5566, + "loss/crossentropy": 1.8864645957946777, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.16269812360405922, + "step": 188 + }, + { + "epoch": 0.0315, + "grad_norm": 33.25, + "grad_norm_var": 7.266080729166666, + "learning_rate": 9.975795158703576e-05, + "loss": 7.4747, + "loss/crossentropy": 1.8467691838741302, + "loss/hidden": 3.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.24105952680110931, + "step": 189 + }, + { + "epoch": 0.03166666666666667, + "grad_norm": 34.75, + "grad_norm_var": 7.2009765625, + "learning_rate": 9.975537186290724e-05, + "loss": 7.5958, + "loss/crossentropy": 2.065937250852585, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.19649240002036095, + "step": 190 + }, + { + "epoch": 0.03183333333333333, + "grad_norm": 33.0, + "grad_norm_var": 7.162955729166667, + "learning_rate": 9.975277849806133e-05, + "loss": 7.5776, + "loss/crossentropy": 1.760479062795639, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.2253318689763546, + "step": 191 + }, + { + "epoch": 0.032, + "grad_norm": 32.5, + "grad_norm_var": 7.107747395833333, + "learning_rate": 9.9750171493209e-05, + "loss": 7.7319, + "loss/crossentropy": 2.4354325234889984, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.19807074591517448, + "step": 192 + }, + { + "epoch": 0.03216666666666667, + "grad_norm": 34.5, + "grad_norm_var": 6.783268229166667, + "learning_rate": 9.974755084906502e-05, + "loss": 7.5737, + "loss/crossentropy": 1.8597578406333923, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.2125672809779644, + "step": 193 + }, + { + "epoch": 0.03233333333333333, + "grad_norm": 33.5, + "grad_norm_var": 6.783268229166667, + "learning_rate": 9.974491656634782e-05, + "loss": 7.4921, + "loss/crossentropy": 2.4780385494232178, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.19840094447135925, + "step": 194 + }, + { + "epoch": 0.0325, + "grad_norm": 31.625, + "grad_norm_var": 7.051822916666667, + "learning_rate": 9.974226864577961e-05, + "loss": 7.2698, + "loss/crossentropy": 1.88395856320858, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.18918826058506966, + "step": 195 + }, + { + "epoch": 0.03266666666666666, + "grad_norm": 32.25, + "grad_norm_var": 7.138541666666667, + "learning_rate": 9.973960708808633e-05, + "loss": 7.5145, + "loss/crossentropy": 2.3066524267196655, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.17494326829910278, + "step": 196 + }, + { + "epoch": 0.03283333333333333, + "grad_norm": 34.25, + "grad_norm_var": 6.524934895833334, + "learning_rate": 9.973693189399766e-05, + "loss": 7.453, + "loss/crossentropy": 2.067493826150894, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.19816205650568008, + "step": 197 + }, + { + "epoch": 0.033, + "grad_norm": 34.25, + "grad_norm_var": 6.485872395833334, + "learning_rate": 9.973424306424705e-05, + "loss": 7.3912, + "loss/crossentropy": 1.5059811472892761, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.23100421205163002, + "step": 198 + }, + { + "epoch": 0.033166666666666664, + "grad_norm": 33.5, + "grad_norm_var": 6.4681640625, + "learning_rate": 9.973154059957162e-05, + "loss": 7.3631, + "loss/crossentropy": 2.0883964896202087, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.19126541167497635, + "step": 199 + }, + { + "epoch": 0.03333333333333333, + "grad_norm": 35.25, + "grad_norm_var": 1.6775390625, + "learning_rate": 9.972882450071228e-05, + "loss": 7.5897, + "loss/crossentropy": 2.4213720560073853, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.1968086063861847, + "step": 200 + }, + { + "epoch": 0.0335, + "grad_norm": 34.5, + "grad_norm_var": 1.5457682291666666, + "learning_rate": 9.972609476841367e-05, + "loss": 7.4746, + "loss/crossentropy": 1.8749464750289917, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.31945592910051346, + "step": 201 + }, + { + "epoch": 0.033666666666666664, + "grad_norm": 35.75, + "grad_norm_var": 1.5749348958333333, + "learning_rate": 9.972335140342415e-05, + "loss": 7.711, + "loss/crossentropy": 1.717276781797409, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.20567739009857178, + "step": 202 + }, + { + "epoch": 0.03383333333333333, + "grad_norm": 31.5, + "grad_norm_var": 1.6103515625, + "learning_rate": 9.972059440649584e-05, + "loss": 7.5691, + "loss/crossentropy": 2.07498636841774, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.22483434528112411, + "step": 203 + }, + { + "epoch": 0.034, + "grad_norm": 35.25, + "grad_norm_var": 1.6962890625, + "learning_rate": 9.971782377838457e-05, + "loss": 7.7671, + "loss/crossentropy": 1.6273568868637085, + "loss/hidden": 3.82421875, + "loss/jsd": 0.0, + "loss/logits": 0.20050818100571632, + "step": 204 + }, + { + "epoch": 0.034166666666666665, + "grad_norm": 33.0, + "grad_norm_var": 1.7160807291666667, + "learning_rate": 9.971503951984995e-05, + "loss": 7.4089, + "loss/crossentropy": 2.2226982414722443, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.19824209809303284, + "step": 205 + }, + { + "epoch": 0.034333333333333334, + "grad_norm": 32.75, + "grad_norm_var": 1.6889973958333333, + "learning_rate": 9.971224163165527e-05, + "loss": 7.3443, + "loss/crossentropy": 1.8570466339588165, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17482981458306313, + "step": 206 + }, + { + "epoch": 0.0345, + "grad_norm": 36.25, + "grad_norm_var": 2.0952473958333333, + "learning_rate": 9.970943011456761e-05, + "loss": 7.6851, + "loss/crossentropy": 1.996934950351715, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.22505202144384384, + "step": 207 + }, + { + "epoch": 0.034666666666666665, + "grad_norm": 33.5, + "grad_norm_var": 1.9858723958333333, + "learning_rate": 9.970660496935776e-05, + "loss": 7.2883, + "loss/crossentropy": 2.104332596063614, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.170057974755764, + "step": 208 + }, + { + "epoch": 0.034833333333333334, + "grad_norm": 35.25, + "grad_norm_var": 2.0858723958333334, + "learning_rate": 9.970376619680024e-05, + "loss": 7.5088, + "loss/crossentropy": 2.0839968621730804, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.19400381669402122, + "step": 209 + }, + { + "epoch": 0.035, + "grad_norm": 39.0, + "grad_norm_var": 3.684309895833333, + "learning_rate": 9.970091379767331e-05, + "loss": 7.4452, + "loss/crossentropy": 1.7162790298461914, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.19829977676272392, + "step": 210 + }, + { + "epoch": 0.035166666666666666, + "grad_norm": 43.25, + "grad_norm_var": 8.073958333333334, + "learning_rate": 9.9698047772759e-05, + "loss": 7.408, + "loss/crossentropy": 2.0295865535736084, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.2112085185945034, + "step": 211 + }, + { + "epoch": 0.035333333333333335, + "grad_norm": 34.25, + "grad_norm_var": 7.598958333333333, + "learning_rate": 9.969516812284301e-05, + "loss": 7.5912, + "loss/crossentropy": 2.076532691717148, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.20468730852007866, + "step": 212 + }, + { + "epoch": 0.0355, + "grad_norm": 33.0, + "grad_norm_var": 7.837239583333333, + "learning_rate": 9.969227484871484e-05, + "loss": 7.5325, + "loss/crossentropy": 2.139839291572571, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.2352946475148201, + "step": 213 + }, + { + "epoch": 0.035666666666666666, + "grad_norm": 31.0, + "grad_norm_var": 8.829166666666667, + "learning_rate": 9.968936795116768e-05, + "loss": 7.4982, + "loss/crossentropy": 2.0447988510131836, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.18019738048315048, + "step": 214 + }, + { + "epoch": 0.035833333333333335, + "grad_norm": 35.75, + "grad_norm_var": 8.751822916666667, + "learning_rate": 9.968644743099848e-05, + "loss": 7.4297, + "loss/crossentropy": 2.0359120666980743, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.19392414391040802, + "step": 215 + }, + { + "epoch": 0.036, + "grad_norm": 31.75, + "grad_norm_var": 9.37890625, + "learning_rate": 9.968351328900794e-05, + "loss": 7.419, + "loss/crossentropy": 1.6464682668447495, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.19690733775496483, + "step": 216 + }, + { + "epoch": 0.036166666666666666, + "grad_norm": 31.5, + "grad_norm_var": 10.03515625, + "learning_rate": 9.968056552600043e-05, + "loss": 7.4091, + "loss/crossentropy": 1.7111313343048096, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.21444109827280045, + "step": 217 + }, + { + "epoch": 0.036333333333333336, + "grad_norm": 34.0, + "grad_norm_var": 9.945833333333333, + "learning_rate": 9.967760414278411e-05, + "loss": 7.3835, + "loss/crossentropy": 2.2186812460422516, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17553316056728363, + "step": 218 + }, + { + "epoch": 0.0365, + "grad_norm": 36.75, + "grad_norm_var": 9.612239583333333, + "learning_rate": 9.967462914017088e-05, + "loss": 7.5934, + "loss/crossentropy": 1.7609408795833588, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.24462126940488815, + "step": 219 + }, + { + "epoch": 0.03666666666666667, + "grad_norm": 29.875, + "grad_norm_var": 11.070768229166667, + "learning_rate": 9.967164051897633e-05, + "loss": 7.4723, + "loss/crossentropy": 1.9127337038516998, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.18390759825706482, + "step": 220 + }, + { + "epoch": 0.036833333333333336, + "grad_norm": 36.75, + "grad_norm_var": 11.234830729166667, + "learning_rate": 9.966863828001982e-05, + "loss": 7.4864, + "loss/crossentropy": 1.8919442296028137, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.19531705975532532, + "step": 221 + }, + { + "epoch": 0.037, + "grad_norm": 32.75, + "grad_norm_var": 11.234830729166667, + "learning_rate": 9.966562242412442e-05, + "loss": 7.4549, + "loss/crossentropy": 2.555088996887207, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.19128287956118584, + "step": 222 + }, + { + "epoch": 0.03716666666666667, + "grad_norm": 33.0, + "grad_norm_var": 11.207747395833334, + "learning_rate": 9.966259295211697e-05, + "loss": 7.3277, + "loss/crossentropy": 1.6132709085941315, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.2020581029355526, + "step": 223 + }, + { + "epoch": 0.037333333333333336, + "grad_norm": 33.0, + "grad_norm_var": 11.287434895833334, + "learning_rate": 9.965954986482799e-05, + "loss": 7.5761, + "loss/crossentropy": 1.9417942464351654, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.20881640166044235, + "step": 224 + }, + { + "epoch": 0.0375, + "grad_norm": 32.5, + "grad_norm_var": 11.459309895833334, + "learning_rate": 9.965649316309178e-05, + "loss": 7.4902, + "loss/crossentropy": 2.1505030691623688, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1994522586464882, + "step": 225 + }, + { + "epoch": 0.03766666666666667, + "grad_norm": 34.75, + "grad_norm_var": 9.9009765625, + "learning_rate": 9.965342284774632e-05, + "loss": 7.3804, + "loss/crossentropy": 1.7770483791828156, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.18692020699381828, + "step": 226 + }, + { + "epoch": 0.03783333333333333, + "grad_norm": 33.5, + "grad_norm_var": 3.8072265625, + "learning_rate": 9.965033891963338e-05, + "loss": 7.1566, + "loss/crossentropy": 2.0759385526180267, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1766762211918831, + "step": 227 + }, + { + "epoch": 0.038, + "grad_norm": 34.75, + "grad_norm_var": 3.8806640625, + "learning_rate": 9.964724137959843e-05, + "loss": 7.6882, + "loss/crossentropy": 2.1585110276937485, + "loss/hidden": 3.8671875, + "loss/jsd": 0.0, + "loss/logits": 0.2864663489162922, + "step": 228 + }, + { + "epoch": 0.03816666666666667, + "grad_norm": 34.0, + "grad_norm_var": 3.887955729166667, + "learning_rate": 9.964413022849068e-05, + "loss": 7.3158, + "loss/crossentropy": 1.7837422788143158, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.17648790404200554, + "step": 229 + }, + { + "epoch": 0.03833333333333333, + "grad_norm": 34.0, + "grad_norm_var": 3.459830729166667, + "learning_rate": 9.964100546716309e-05, + "loss": 7.5637, + "loss/crossentropy": 1.929616540670395, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.20552103966474533, + "step": 230 + }, + { + "epoch": 0.0385, + "grad_norm": 33.5, + "grad_norm_var": 3.1504557291666666, + "learning_rate": 9.963786709647228e-05, + "loss": 7.6261, + "loss/crossentropy": 1.9666523337364197, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.19753441214561462, + "step": 231 + }, + { + "epoch": 0.03866666666666667, + "grad_norm": 33.75, + "grad_norm_var": 2.9275390625, + "learning_rate": 9.963471511727868e-05, + "loss": 7.322, + "loss/crossentropy": 1.9215552508831024, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.25897734239697456, + "step": 232 + }, + { + "epoch": 0.03883333333333333, + "grad_norm": 34.0, + "grad_norm_var": 2.6020182291666667, + "learning_rate": 9.963154953044645e-05, + "loss": 7.3288, + "loss/crossentropy": 2.1817697286605835, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.216877032071352, + "step": 233 + }, + { + "epoch": 0.039, + "grad_norm": 31.25, + "grad_norm_var": 3.003059895833333, + "learning_rate": 9.962837033684343e-05, + "loss": 7.5657, + "loss/crossentropy": 2.0929472744464874, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.23406041413545609, + "step": 234 + }, + { + "epoch": 0.03916666666666667, + "grad_norm": 33.75, + "grad_norm_var": 2.3186848958333335, + "learning_rate": 9.96251775373412e-05, + "loss": 7.3698, + "loss/crossentropy": 2.2823018431663513, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17581793293356895, + "step": 235 + }, + { + "epoch": 0.03933333333333333, + "grad_norm": 33.75, + "grad_norm_var": 1.4125, + "learning_rate": 9.962197113281509e-05, + "loss": 7.4896, + "loss/crossentropy": 2.5378648042678833, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.18384571373462677, + "step": 236 + }, + { + "epoch": 0.0395, + "grad_norm": 31.5, + "grad_norm_var": 0.99140625, + "learning_rate": 9.961875112414416e-05, + "loss": 7.6075, + "loss/crossentropy": 1.6965321004390717, + "loss/hidden": 4.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.3610421270132065, + "step": 237 + }, + { + "epoch": 0.03966666666666667, + "grad_norm": 30.75, + "grad_norm_var": 1.40390625, + "learning_rate": 9.961551751221121e-05, + "loss": 7.4004, + "loss/crossentropy": 1.801620066165924, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.2508755698800087, + "step": 238 + }, + { + "epoch": 0.03983333333333333, + "grad_norm": 34.5, + "grad_norm_var": 1.49765625, + "learning_rate": 9.961227029790272e-05, + "loss": 7.4518, + "loss/crossentropy": 1.9990509450435638, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.17706014588475227, + "step": 239 + }, + { + "epoch": 0.04, + "grad_norm": 34.75, + "grad_norm_var": 1.6125, + "learning_rate": 9.960900948210896e-05, + "loss": 7.4336, + "loss/crossentropy": 1.602626696228981, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19834685325622559, + "step": 240 + }, + { + "epoch": 0.04016666666666667, + "grad_norm": 36.75, + "grad_norm_var": 2.21015625, + "learning_rate": 9.96057350657239e-05, + "loss": 7.6562, + "loss/crossentropy": 1.7482210397720337, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.2308633252978325, + "step": 241 + }, + { + "epoch": 0.04033333333333333, + "grad_norm": 34.5, + "grad_norm_var": 2.1791666666666667, + "learning_rate": 9.960244704964521e-05, + "loss": 7.3834, + "loss/crossentropy": 2.2258542478084564, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19244441762566566, + "step": 242 + }, + { + "epoch": 0.0405, + "grad_norm": 32.25, + "grad_norm_var": 2.3080729166666667, + "learning_rate": 9.959914543477435e-05, + "loss": 7.7208, + "loss/crossentropy": 2.0081526041030884, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.1961013823747635, + "step": 243 + }, + { + "epoch": 0.04066666666666666, + "grad_norm": 34.0, + "grad_norm_var": 2.2291666666666665, + "learning_rate": 9.959583022201647e-05, + "loss": 7.4501, + "loss/crossentropy": 2.088036686182022, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.18969382345676422, + "step": 244 + }, + { + "epoch": 0.04083333333333333, + "grad_norm": 35.0, + "grad_norm_var": 2.35, + "learning_rate": 9.959250141228045e-05, + "loss": 7.4074, + "loss/crossentropy": 1.8287396430969238, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.21593837812542915, + "step": 245 + }, + { + "epoch": 0.041, + "grad_norm": 31.0, + "grad_norm_var": 2.7625, + "learning_rate": 9.95891590064789e-05, + "loss": 7.4715, + "loss/crossentropy": 1.7634437531232834, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.18323732912540436, + "step": 246 + }, + { + "epoch": 0.041166666666666664, + "grad_norm": 32.25, + "grad_norm_var": 2.849739583333333, + "learning_rate": 9.958580300552815e-05, + "loss": 7.3321, + "loss/crossentropy": 1.5442231893539429, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.2090124376118183, + "step": 247 + }, + { + "epoch": 0.04133333333333333, + "grad_norm": 31.5, + "grad_norm_var": 3.048958333333333, + "learning_rate": 9.958243341034827e-05, + "loss": 7.4577, + "loss/crossentropy": 2.544583737850189, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.18567397445440292, + "step": 248 + }, + { + "epoch": 0.0415, + "grad_norm": 34.25, + "grad_norm_var": 3.07890625, + "learning_rate": 9.957905022186309e-05, + "loss": 7.6299, + "loss/crossentropy": 1.9056779742240906, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1823662333190441, + "step": 249 + }, + { + "epoch": 0.041666666666666664, + "grad_norm": 31.625, + "grad_norm_var": 2.9884765625, + "learning_rate": 9.957565344100009e-05, + "loss": 7.2394, + "loss/crossentropy": 1.4222186654806137, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.1690158024430275, + "step": 250 + }, + { + "epoch": 0.041833333333333333, + "grad_norm": 35.25, + "grad_norm_var": 3.2275390625, + "learning_rate": 9.957224306869053e-05, + "loss": 7.1863, + "loss/crossentropy": 2.054836720228195, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.2182355523109436, + "step": 251 + }, + { + "epoch": 0.042, + "grad_norm": 39.75, + "grad_norm_var": 5.7962890625, + "learning_rate": 9.956881910586937e-05, + "loss": 7.5122, + "loss/crossentropy": 1.9823282361030579, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.21302693337202072, + "step": 252 + }, + { + "epoch": 0.042166666666666665, + "grad_norm": 33.0, + "grad_norm_var": 5.4916015625, + "learning_rate": 9.956538155347534e-05, + "loss": 7.3569, + "loss/crossentropy": 1.9061083495616913, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.18881781026721, + "step": 253 + }, + { + "epoch": 0.042333333333333334, + "grad_norm": 31.0, + "grad_norm_var": 5.3931640625, + "learning_rate": 9.956193041245084e-05, + "loss": 7.764, + "loss/crossentropy": 2.4186649322509766, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.23042699694633484, + "step": 254 + }, + { + "epoch": 0.0425, + "grad_norm": 31.5, + "grad_norm_var": 5.6900390625, + "learning_rate": 9.955846568374201e-05, + "loss": 7.4741, + "loss/crossentropy": 1.7218818068504333, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.20200594142079353, + "step": 255 + }, + { + "epoch": 0.042666666666666665, + "grad_norm": 34.25, + "grad_norm_var": 5.6322265625, + "learning_rate": 9.955498736829875e-05, + "loss": 7.3703, + "loss/crossentropy": 1.7708523571491241, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.21957089006900787, + "step": 256 + }, + { + "epoch": 0.042833333333333334, + "grad_norm": 31.375, + "grad_norm_var": 5.192708333333333, + "learning_rate": 9.955149546707465e-05, + "loss": 7.2327, + "loss/crossentropy": 1.588808387517929, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.20313889160752296, + "step": 257 + }, + { + "epoch": 0.043, + "grad_norm": 31.125, + "grad_norm_var": 5.356184895833334, + "learning_rate": 9.954798998102702e-05, + "loss": 7.694, + "loss/crossentropy": 2.2256319522857666, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.2320820689201355, + "step": 258 + }, + { + "epoch": 0.043166666666666666, + "grad_norm": 33.5, + "grad_norm_var": 5.317122395833334, + "learning_rate": 9.954447091111694e-05, + "loss": 7.5972, + "loss/crossentropy": 2.2975550293922424, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.22221146896481514, + "step": 259 + }, + { + "epoch": 0.043333333333333335, + "grad_norm": 33.25, + "grad_norm_var": 5.267122395833334, + "learning_rate": 9.954093825830917e-05, + "loss": 7.4645, + "loss/crossentropy": 1.7964718043804169, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.22343726828694344, + "step": 260 + }, + { + "epoch": 0.0435, + "grad_norm": 35.5, + "grad_norm_var": 5.409309895833333, + "learning_rate": 9.953739202357218e-05, + "loss": 7.6442, + "loss/crossentropy": 2.3244612216949463, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1996532864868641, + "step": 261 + }, + { + "epoch": 0.043666666666666666, + "grad_norm": 34.25, + "grad_norm_var": 5.145247395833334, + "learning_rate": 9.953383220787824e-05, + "loss": 7.3658, + "loss/crossentropy": 1.8924684524536133, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1912608966231346, + "step": 262 + }, + { + "epoch": 0.043833333333333335, + "grad_norm": 32.0, + "grad_norm_var": 5.1853515625, + "learning_rate": 9.953025881220325e-05, + "loss": 7.3769, + "loss/crossentropy": 2.1403828859329224, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.19196165725588799, + "step": 263 + }, + { + "epoch": 0.044, + "grad_norm": 31.625, + "grad_norm_var": 5.155989583333334, + "learning_rate": 9.952667183752689e-05, + "loss": 7.4753, + "loss/crossentropy": 2.1855861246585846, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.17956650257110596, + "step": 264 + }, + { + "epoch": 0.04416666666666667, + "grad_norm": 33.0, + "grad_norm_var": 5.1, + "learning_rate": 9.952307128483256e-05, + "loss": 7.5188, + "loss/crossentropy": 2.1611409187316895, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.21880854666233063, + "step": 265 + }, + { + "epoch": 0.044333333333333336, + "grad_norm": 33.25, + "grad_norm_var": 4.912955729166667, + "learning_rate": 9.951945715510738e-05, + "loss": 7.2769, + "loss/crossentropy": 1.5910672396421432, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.1987658105790615, + "step": 266 + }, + { + "epoch": 0.0445, + "grad_norm": 36.5, + "grad_norm_var": 5.327018229166667, + "learning_rate": 9.951582944934215e-05, + "loss": 7.4072, + "loss/crossentropy": 1.8843984603881836, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1851150095462799, + "step": 267 + }, + { + "epoch": 0.04466666666666667, + "grad_norm": 37.25, + "grad_norm_var": 3.6108723958333333, + "learning_rate": 9.951218816853145e-05, + "loss": 7.3747, + "loss/crossentropy": 2.051399737596512, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.17208177596330643, + "step": 268 + }, + { + "epoch": 0.044833333333333336, + "grad_norm": 32.5, + "grad_norm_var": 3.6447265625, + "learning_rate": 9.950853331367356e-05, + "loss": 7.5431, + "loss/crossentropy": 1.8954854309558868, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.23021245375275612, + "step": 269 + }, + { + "epoch": 0.045, + "grad_norm": 32.5, + "grad_norm_var": 3.3369140625, + "learning_rate": 9.950486488577045e-05, + "loss": 7.086, + "loss/crossentropy": 2.1651638746261597, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.16940529271960258, + "step": 270 + }, + { + "epoch": 0.04516666666666667, + "grad_norm": 32.5, + "grad_norm_var": 3.1546223958333335, + "learning_rate": 9.950118288582788e-05, + "loss": 7.4365, + "loss/crossentropy": 2.0743221640586853, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.2509123831987381, + "step": 271 + }, + { + "epoch": 0.04533333333333334, + "grad_norm": 32.25, + "grad_norm_var": 3.1775390625, + "learning_rate": 9.949748731485527e-05, + "loss": 7.4719, + "loss/crossentropy": 1.6460443139076233, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.23979851976037025, + "step": 272 + }, + { + "epoch": 0.0455, + "grad_norm": 32.75, + "grad_norm_var": 2.94765625, + "learning_rate": 9.949377817386579e-05, + "loss": 7.3823, + "loss/crossentropy": 2.06423482298851, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.18897506222128868, + "step": 273 + }, + { + "epoch": 0.04566666666666667, + "grad_norm": 32.75, + "grad_norm_var": 2.6285807291666665, + "learning_rate": 9.949005546387631e-05, + "loss": 7.4061, + "loss/crossentropy": 1.8803717195987701, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.19544275850057602, + "step": 274 + }, + { + "epoch": 0.04583333333333333, + "grad_norm": 31.875, + "grad_norm_var": 2.78515625, + "learning_rate": 9.948631918590746e-05, + "loss": 7.2924, + "loss/crossentropy": 2.3207769989967346, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.204855278134346, + "step": 275 + }, + { + "epoch": 0.046, + "grad_norm": 31.625, + "grad_norm_var": 2.973893229166667, + "learning_rate": 9.948256934098352e-05, + "loss": 7.2179, + "loss/crossentropy": 2.212691694498062, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1843850538134575, + "step": 276 + }, + { + "epoch": 0.04616666666666667, + "grad_norm": 33.0, + "grad_norm_var": 2.6171223958333334, + "learning_rate": 9.947880593013255e-05, + "loss": 7.389, + "loss/crossentropy": 1.4388393610715866, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.20000701770186424, + "step": 277 + }, + { + "epoch": 0.04633333333333333, + "grad_norm": 32.5, + "grad_norm_var": 2.5405598958333333, + "learning_rate": 9.947502895438631e-05, + "loss": 7.4375, + "loss/crossentropy": 1.6164623200893402, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.24112718924880028, + "step": 278 + }, + { + "epoch": 0.0465, + "grad_norm": 31.875, + "grad_norm_var": 2.5580729166666667, + "learning_rate": 9.94712384147803e-05, + "loss": 7.5675, + "loss/crossentropy": 2.080635279417038, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.2437608428299427, + "step": 279 + }, + { + "epoch": 0.04666666666666667, + "grad_norm": 37.25, + "grad_norm_var": 3.5160807291666667, + "learning_rate": 9.94674343123537e-05, + "loss": 7.4194, + "loss/crossentropy": 1.9315711557865143, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.20482220873236656, + "step": 280 + }, + { + "epoch": 0.04683333333333333, + "grad_norm": 33.5, + "grad_norm_var": 3.5093098958333333, + "learning_rate": 9.946361664814943e-05, + "loss": 7.3005, + "loss/crossentropy": 2.334685444831848, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1906958930194378, + "step": 281 + }, + { + "epoch": 0.047, + "grad_norm": 31.5, + "grad_norm_var": 3.7280598958333333, + "learning_rate": 9.945978542321411e-05, + "loss": 7.6145, + "loss/crossentropy": 2.053435295820236, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.18392417207360268, + "step": 282 + }, + { + "epoch": 0.04716666666666667, + "grad_norm": 35.5, + "grad_norm_var": 3.358268229166667, + "learning_rate": 9.945594063859809e-05, + "loss": 7.5437, + "loss/crossentropy": 2.135278433561325, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18531183525919914, + "step": 283 + }, + { + "epoch": 0.04733333333333333, + "grad_norm": 37.25, + "grad_norm_var": 3.358268229166667, + "learning_rate": 9.945208229535548e-05, + "loss": 7.5657, + "loss/crossentropy": 2.2949063777923584, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.20849039778113365, + "step": 284 + }, + { + "epoch": 0.0475, + "grad_norm": 35.0, + "grad_norm_var": 3.5171223958333333, + "learning_rate": 9.944821039454402e-05, + "loss": 7.4337, + "loss/crossentropy": 2.347493678331375, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.22633015364408493, + "step": 285 + }, + { + "epoch": 0.04766666666666667, + "grad_norm": 36.0, + "grad_norm_var": 3.8853515625, + "learning_rate": 9.944432493722524e-05, + "loss": 7.408, + "loss/crossentropy": 1.8182571828365326, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1729656383395195, + "step": 286 + }, + { + "epoch": 0.04783333333333333, + "grad_norm": 33.0, + "grad_norm_var": 3.8296223958333333, + "learning_rate": 9.944042592446434e-05, + "loss": 7.518, + "loss/crossentropy": 2.2782211005687714, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.19678113237023354, + "step": 287 + }, + { + "epoch": 0.048, + "grad_norm": 32.5, + "grad_norm_var": 3.7884765625, + "learning_rate": 9.943651335733028e-05, + "loss": 7.7055, + "loss/crossentropy": 1.8382735848426819, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.29597097635269165, + "step": 288 + }, + { + "epoch": 0.04816666666666667, + "grad_norm": 33.25, + "grad_norm_var": 3.7462890625, + "learning_rate": 9.94325872368957e-05, + "loss": 7.5491, + "loss/crossentropy": 1.9217680990695953, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.1935409978032112, + "step": 289 + }, + { + "epoch": 0.04833333333333333, + "grad_norm": 34.0, + "grad_norm_var": 3.694205729166667, + "learning_rate": 9.942864756423697e-05, + "loss": 7.3539, + "loss/crossentropy": 2.2482245564460754, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1774788796901703, + "step": 290 + }, + { + "epoch": 0.0485, + "grad_norm": 37.25, + "grad_norm_var": 4.172916666666667, + "learning_rate": 9.942469434043418e-05, + "loss": 7.5497, + "loss/crossentropy": 1.7184914350509644, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.17235538363456726, + "step": 291 + }, + { + "epoch": 0.048666666666666664, + "grad_norm": 29.5, + "grad_norm_var": 5.145768229166666, + "learning_rate": 9.942072756657112e-05, + "loss": 7.4965, + "loss/crossentropy": 2.0929549038410187, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.1646399423480034, + "step": 292 + }, + { + "epoch": 0.04883333333333333, + "grad_norm": 34.0, + "grad_norm_var": 5.084309895833333, + "learning_rate": 9.941674724373531e-05, + "loss": 7.3894, + "loss/crossentropy": 1.9612452387809753, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.1791134923696518, + "step": 293 + }, + { + "epoch": 0.049, + "grad_norm": 31.625, + "grad_norm_var": 5.30625, + "learning_rate": 9.941275337301796e-05, + "loss": 7.2659, + "loss/crossentropy": 2.0830692052841187, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.20017437636852264, + "step": 294 + }, + { + "epoch": 0.049166666666666664, + "grad_norm": 31.5, + "grad_norm_var": 5.4181640625, + "learning_rate": 9.940874595551404e-05, + "loss": 7.3887, + "loss/crossentropy": 1.7737980782985687, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18077390268445015, + "step": 295 + }, + { + "epoch": 0.04933333333333333, + "grad_norm": 32.75, + "grad_norm_var": 4.6822265625, + "learning_rate": 9.940472499232217e-05, + "loss": 7.533, + "loss/crossentropy": 2.0955342948436737, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.18926679342985153, + "step": 296 + }, + { + "epoch": 0.0495, + "grad_norm": 30.875, + "grad_norm_var": 5.159375, + "learning_rate": 9.940069048454476e-05, + "loss": 7.3838, + "loss/crossentropy": 1.9292489290237427, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.17382750287652016, + "step": 297 + }, + { + "epoch": 0.049666666666666665, + "grad_norm": 35.0, + "grad_norm_var": 5.00625, + "learning_rate": 9.939664243328788e-05, + "loss": 7.5044, + "loss/crossentropy": 1.8965256214141846, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.21535596996545792, + "step": 298 + }, + { + "epoch": 0.049833333333333334, + "grad_norm": 32.0, + "grad_norm_var": 4.926041666666666, + "learning_rate": 9.939258083966131e-05, + "loss": 7.3787, + "loss/crossentropy": 2.2116329669952393, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.19921951368451118, + "step": 299 + }, + { + "epoch": 0.05, + "grad_norm": 32.25, + "grad_norm_var": 3.9677083333333334, + "learning_rate": 9.938850570477858e-05, + "loss": 7.776, + "loss/crossentropy": 1.7931984663009644, + "loss/hidden": 4.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.20052238181233406, + "step": 300 + }, + { + "epoch": 0.050166666666666665, + "grad_norm": 31.0, + "grad_norm_var": 3.984375, + "learning_rate": 9.938441702975689e-05, + "loss": 7.5502, + "loss/crossentropy": 2.151143029332161, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.2542959935963154, + "step": 301 + }, + { + "epoch": 0.050333333333333334, + "grad_norm": 36.0, + "grad_norm_var": 3.984375, + "learning_rate": 9.93803148157172e-05, + "loss": 7.3519, + "loss/crossentropy": 1.8495058715343475, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19523714110255241, + "step": 302 + }, + { + "epoch": 0.0505, + "grad_norm": 33.5, + "grad_norm_var": 4.00625, + "learning_rate": 9.937619906378413e-05, + "loss": 7.6, + "loss/crossentropy": 1.4866109788417816, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.24062253534793854, + "step": 303 + }, + { + "epoch": 0.050666666666666665, + "grad_norm": 33.25, + "grad_norm_var": 3.99765625, + "learning_rate": 9.937206977508604e-05, + "loss": 7.532, + "loss/crossentropy": 2.360676884651184, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17827368155121803, + "step": 304 + }, + { + "epoch": 0.050833333333333335, + "grad_norm": 35.25, + "grad_norm_var": 4.318489583333333, + "learning_rate": 9.936792695075502e-05, + "loss": 7.2543, + "loss/crossentropy": 1.8312220871448517, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.15719518810510635, + "step": 305 + }, + { + "epoch": 0.051, + "grad_norm": 34.75, + "grad_norm_var": 4.442708333333333, + "learning_rate": 9.936377059192683e-05, + "loss": 7.4177, + "loss/crossentropy": 1.8039703965187073, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.17907331138849258, + "step": 306 + }, + { + "epoch": 0.051166666666666666, + "grad_norm": 31.875, + "grad_norm_var": 3.3145182291666666, + "learning_rate": 9.935960069974096e-05, + "loss": 7.5267, + "loss/crossentropy": 2.2493822872638702, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.22437208890914917, + "step": 307 + }, + { + "epoch": 0.051333333333333335, + "grad_norm": 36.0, + "grad_norm_var": 3.0775390625, + "learning_rate": 9.935541727534062e-05, + "loss": 7.3628, + "loss/crossentropy": 1.6787460148334503, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.18720288947224617, + "step": 308 + }, + { + "epoch": 0.0515, + "grad_norm": 32.0, + "grad_norm_var": 3.1212890625, + "learning_rate": 9.93512203198727e-05, + "loss": 7.3632, + "loss/crossentropy": 1.9651407599449158, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.16669607907533646, + "step": 309 + }, + { + "epoch": 0.051666666666666666, + "grad_norm": 32.0, + "grad_norm_var": 3.05625, + "learning_rate": 9.934700983448785e-05, + "loss": 7.4242, + "loss/crossentropy": 1.7720632553100586, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.17070115730166435, + "step": 310 + }, + { + "epoch": 0.051833333333333335, + "grad_norm": 32.25, + "grad_norm_var": 2.92890625, + "learning_rate": 9.934278582034037e-05, + "loss": 7.4942, + "loss/crossentropy": 1.9744703769683838, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17627298459410667, + "step": 311 + }, + { + "epoch": 0.052, + "grad_norm": 32.25, + "grad_norm_var": 2.97265625, + "learning_rate": 9.93385482785883e-05, + "loss": 7.4852, + "loss/crossentropy": 1.939420759677887, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.20203501358628273, + "step": 312 + }, + { + "epoch": 0.05216666666666667, + "grad_norm": 34.75, + "grad_norm_var": 2.7405598958333335, + "learning_rate": 9.93342972103934e-05, + "loss": 7.2799, + "loss/crossentropy": 1.8921250402927399, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.19524874910712242, + "step": 313 + }, + { + "epoch": 0.052333333333333336, + "grad_norm": 31.625, + "grad_norm_var": 2.724739583333333, + "learning_rate": 9.933003261692113e-05, + "loss": 7.4116, + "loss/crossentropy": 1.8156531155109406, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.1783577762544155, + "step": 314 + }, + { + "epoch": 0.0525, + "grad_norm": 33.25, + "grad_norm_var": 2.627083333333333, + "learning_rate": 9.932575449934062e-05, + "loss": 7.6664, + "loss/crossentropy": 1.611064851284027, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.18313537165522575, + "step": 315 + }, + { + "epoch": 0.05266666666666667, + "grad_norm": 32.25, + "grad_norm_var": 2.627083333333333, + "learning_rate": 9.932146285882477e-05, + "loss": 7.517, + "loss/crossentropy": 2.3886789083480835, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17311230301856995, + "step": 316 + }, + { + "epoch": 0.052833333333333336, + "grad_norm": 33.0, + "grad_norm_var": 2.277083333333333, + "learning_rate": 9.931715769655015e-05, + "loss": 7.3245, + "loss/crossentropy": 2.062618851661682, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.16256008669734, + "step": 317 + }, + { + "epoch": 0.053, + "grad_norm": 37.25, + "grad_norm_var": 2.812239583333333, + "learning_rate": 9.931283901369706e-05, + "loss": 7.4205, + "loss/crossentropy": 2.2248376309871674, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.2207106053829193, + "step": 318 + }, + { + "epoch": 0.05316666666666667, + "grad_norm": 32.5, + "grad_norm_var": 2.8684895833333335, + "learning_rate": 9.930850681144945e-05, + "loss": 7.4183, + "loss/crossentropy": 1.6167858988046646, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18527067452669144, + "step": 319 + }, + { + "epoch": 0.05333333333333334, + "grad_norm": 30.375, + "grad_norm_var": 3.4389973958333333, + "learning_rate": 9.930416109099505e-05, + "loss": 7.2778, + "loss/crossentropy": 1.5095842480659485, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.21223530173301697, + "step": 320 + }, + { + "epoch": 0.0535, + "grad_norm": 32.25, + "grad_norm_var": 3.1858723958333335, + "learning_rate": 9.929980185352526e-05, + "loss": 7.1886, + "loss/crossentropy": 1.7327702194452286, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.17669162154197693, + "step": 321 + }, + { + "epoch": 0.05366666666666667, + "grad_norm": 37.25, + "grad_norm_var": 4.152018229166667, + "learning_rate": 9.929542910023517e-05, + "loss": 7.5761, + "loss/crossentropy": 2.0194932520389557, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1981862224638462, + "step": 322 + }, + { + "epoch": 0.05383333333333333, + "grad_norm": 33.25, + "grad_norm_var": 4.030989583333334, + "learning_rate": 9.929104283232362e-05, + "loss": 7.4121, + "loss/crossentropy": 2.0976805686950684, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.2352442853152752, + "step": 323 + }, + { + "epoch": 0.054, + "grad_norm": 32.5, + "grad_norm_var": 3.5205729166666666, + "learning_rate": 9.928664305099314e-05, + "loss": 7.3845, + "loss/crossentropy": 1.7154293060302734, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.18793410435318947, + "step": 324 + }, + { + "epoch": 0.05416666666666667, + "grad_norm": 33.0, + "grad_norm_var": 3.443489583333333, + "learning_rate": 9.928222975744991e-05, + "loss": 7.4372, + "loss/crossentropy": 1.7047147303819656, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.18225349113345146, + "step": 325 + }, + { + "epoch": 0.05433333333333333, + "grad_norm": 33.25, + "grad_norm_var": 3.35625, + "learning_rate": 9.927780295290389e-05, + "loss": 7.3018, + "loss/crossentropy": 1.9299534857273102, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17289981245994568, + "step": 326 + }, + { + "epoch": 0.0545, + "grad_norm": 32.75, + "grad_norm_var": 3.309375, + "learning_rate": 9.927336263856872e-05, + "loss": 7.4296, + "loss/crossentropy": 1.5677206218242645, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.21524176374077797, + "step": 327 + }, + { + "epoch": 0.05466666666666667, + "grad_norm": 32.75, + "grad_norm_var": 3.2604166666666665, + "learning_rate": 9.926890881566171e-05, + "loss": 7.3113, + "loss/crossentropy": 1.9055284261703491, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.21018758416175842, + "step": 328 + }, + { + "epoch": 0.05483333333333333, + "grad_norm": 33.0, + "grad_norm_var": 3.101822916666667, + "learning_rate": 9.926444148540393e-05, + "loss": 7.3262, + "loss/crossentropy": 1.8975631594657898, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.1867729350924492, + "step": 329 + }, + { + "epoch": 0.055, + "grad_norm": 29.375, + "grad_norm_var": 3.872916666666667, + "learning_rate": 9.925996064902011e-05, + "loss": 7.3047, + "loss/crossentropy": 2.149957090616226, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.1669253148138523, + "step": 330 + }, + { + "epoch": 0.05516666666666667, + "grad_norm": 31.5, + "grad_norm_var": 4.005989583333333, + "learning_rate": 9.92554663077387e-05, + "loss": 7.3005, + "loss/crossentropy": 1.8946216106414795, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.21060358732938766, + "step": 331 + }, + { + "epoch": 0.05533333333333333, + "grad_norm": 36.5, + "grad_norm_var": 4.771875, + "learning_rate": 9.925095846279184e-05, + "loss": 7.2897, + "loss/crossentropy": 1.8477730453014374, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.1942521631717682, + "step": 332 + }, + { + "epoch": 0.0555, + "grad_norm": 36.25, + "grad_norm_var": 5.364322916666667, + "learning_rate": 9.924643711541539e-05, + "loss": 7.3068, + "loss/crossentropy": 2.038343906402588, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.20785771310329437, + "step": 333 + }, + { + "epoch": 0.05566666666666667, + "grad_norm": 34.5, + "grad_norm_var": 4.410416666666666, + "learning_rate": 9.92419022668489e-05, + "loss": 7.6384, + "loss/crossentropy": 2.468900591135025, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.20980802923440933, + "step": 334 + }, + { + "epoch": 0.05583333333333333, + "grad_norm": 30.125, + "grad_norm_var": 4.9806640625, + "learning_rate": 9.923735391833564e-05, + "loss": 7.3485, + "loss/crossentropy": 2.2117743492126465, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.18478307873010635, + "step": 335 + }, + { + "epoch": 0.056, + "grad_norm": 31.5, + "grad_norm_var": 4.66015625, + "learning_rate": 9.923279207112255e-05, + "loss": 7.4143, + "loss/crossentropy": 1.931143194437027, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.20408664271235466, + "step": 336 + }, + { + "epoch": 0.05616666666666666, + "grad_norm": 35.5, + "grad_norm_var": 4.947916666666667, + "learning_rate": 9.922821672646027e-05, + "loss": 7.3851, + "loss/crossentropy": 1.9041670262813568, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.18027332797646523, + "step": 337 + }, + { + "epoch": 0.05633333333333333, + "grad_norm": 34.5, + "grad_norm_var": 3.976822916666667, + "learning_rate": 9.922362788560319e-05, + "loss": 7.4256, + "loss/crossentropy": 2.080709308385849, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.20545602589845657, + "step": 338 + }, + { + "epoch": 0.0565, + "grad_norm": 31.625, + "grad_norm_var": 4.1181640625, + "learning_rate": 9.921902554980934e-05, + "loss": 7.4433, + "loss/crossentropy": 2.085605651140213, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.21113378182053566, + "step": 339 + }, + { + "epoch": 0.056666666666666664, + "grad_norm": 34.5, + "grad_norm_var": 4.2244140625, + "learning_rate": 9.921440972034049e-05, + "loss": 7.3598, + "loss/crossentropy": 1.9490495473146439, + "loss/hidden": 3.87109375, + "loss/jsd": 0.0, + "loss/logits": 0.2463916763663292, + "step": 340 + }, + { + "epoch": 0.05683333333333333, + "grad_norm": 34.0, + "grad_norm_var": 4.2650390625, + "learning_rate": 9.92097803984621e-05, + "loss": 7.4158, + "loss/crossentropy": 1.8314751535654068, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.19313548505306244, + "step": 341 + }, + { + "epoch": 0.057, + "grad_norm": 35.75, + "grad_norm_var": 4.6634765625, + "learning_rate": 9.920513758544332e-05, + "loss": 7.2865, + "loss/crossentropy": 1.5422937273979187, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.1795356124639511, + "step": 342 + }, + { + "epoch": 0.057166666666666664, + "grad_norm": 36.5, + "grad_norm_var": 5.2259765625, + "learning_rate": 9.920048128255699e-05, + "loss": 7.3166, + "loss/crossentropy": 1.8613337278366089, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.19935959205031395, + "step": 343 + }, + { + "epoch": 0.05733333333333333, + "grad_norm": 31.625, + "grad_norm_var": 5.43515625, + "learning_rate": 9.919581149107968e-05, + "loss": 7.541, + "loss/crossentropy": 2.4002679884433746, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.19639062508940697, + "step": 344 + }, + { + "epoch": 0.0575, + "grad_norm": 30.125, + "grad_norm_var": 6.161393229166666, + "learning_rate": 9.919112821229163e-05, + "loss": 7.3566, + "loss/crossentropy": 2.0356940031051636, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.17380831763148308, + "step": 345 + }, + { + "epoch": 0.057666666666666665, + "grad_norm": 31.0, + "grad_norm_var": 5.461458333333334, + "learning_rate": 9.918643144747681e-05, + "loss": 7.2969, + "loss/crossentropy": 1.829444795846939, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.2013947330415249, + "step": 346 + }, + { + "epoch": 0.057833333333333334, + "grad_norm": 31.75, + "grad_norm_var": 5.399739583333333, + "learning_rate": 9.918172119792282e-05, + "loss": 7.405, + "loss/crossentropy": 2.1244198977947235, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.21309788897633553, + "step": 347 + }, + { + "epoch": 0.058, + "grad_norm": 36.25, + "grad_norm_var": 5.303125, + "learning_rate": 9.917699746492104e-05, + "loss": 7.6752, + "loss/crossentropy": 2.3279683887958527, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.2461264804005623, + "step": 348 + }, + { + "epoch": 0.058166666666666665, + "grad_norm": 34.5, + "grad_norm_var": 4.845572916666667, + "learning_rate": 9.917226024976649e-05, + "loss": 7.3917, + "loss/crossentropy": 1.751452475786209, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.22498203814029694, + "step": 349 + }, + { + "epoch": 0.058333333333333334, + "grad_norm": 47.75, + "grad_norm_var": 17.833333333333332, + "learning_rate": 9.91675095537579e-05, + "loss": 7.5346, + "loss/crossentropy": 1.5791819542646408, + "loss/hidden": 3.7109375, + "loss/jsd": 0.0, + "loss/logits": 0.2855018340051174, + "step": 350 + }, + { + "epoch": 0.0585, + "grad_norm": 3892314112.0, + "grad_norm_var": 9.468818048893147e+17, + "learning_rate": 9.916274537819775e-05, + "loss": 8.3129, + "loss/crossentropy": 1.8232090175151825, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.22548828274011612, + "step": 351 + }, + { + "epoch": 0.058666666666666666, + "grad_norm": 41.5, + "grad_norm_var": 9.468818045649553e+17, + "learning_rate": 9.915796772439207e-05, + "loss": 7.5496, + "loss/crossentropy": 2.0420787036418915, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.197432741522789, + "step": 352 + }, + { + "epoch": 0.058833333333333335, + "grad_norm": 34.25, + "grad_norm_var": 9.468818046055002e+17, + "learning_rate": 9.915317659365077e-05, + "loss": 7.5245, + "loss/crossentropy": 1.5124047994613647, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.1743464544415474, + "step": 353 + }, + { + "epoch": 0.059, + "grad_norm": 33.0, + "grad_norm_var": 9.468818046541541e+17, + "learning_rate": 9.914837198728733e-05, + "loss": 7.604, + "loss/crossentropy": 2.2793531715869904, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.19110491126775742, + "step": 354 + }, + { + "epoch": 0.059166666666666666, + "grad_norm": 32.5, + "grad_norm_var": 9.468818046257727e+17, + "learning_rate": 9.914355390661896e-05, + "loss": 7.3176, + "loss/crossentropy": 1.2015042752027512, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.19891759008169174, + "step": 355 + }, + { + "epoch": 0.059333333333333335, + "grad_norm": 32.0, + "grad_norm_var": 9.468818047068625e+17, + "learning_rate": 9.913872235296657e-05, + "loss": 7.1928, + "loss/crossentropy": 1.9171126186847687, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.18359432741999626, + "step": 356 + }, + { + "epoch": 0.0595, + "grad_norm": 30.5, + "grad_norm_var": 9.468818048203884e+17, + "learning_rate": 9.913387732765475e-05, + "loss": 7.53, + "loss/crossentropy": 1.981977254152298, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.1935758851468563, + "step": 357 + }, + { + "epoch": 0.059666666666666666, + "grad_norm": 33.25, + "grad_norm_var": 9.468818049014783e+17, + "learning_rate": 9.91290188320118e-05, + "loss": 7.2952, + "loss/crossentropy": 1.9780019223690033, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.17839540541172028, + "step": 358 + }, + { + "epoch": 0.059833333333333336, + "grad_norm": 32.75, + "grad_norm_var": 9.468818050231131e+17, + "learning_rate": 9.91241468673697e-05, + "loss": 7.5333, + "loss/crossentropy": 2.5614745020866394, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.20059003308415413, + "step": 359 + }, + { + "epoch": 0.06, + "grad_norm": 2583691264.0, + "grad_norm_var": 1.2802935968532966e+18, + "learning_rate": 9.911926143506412e-05, + "loss": 8.5701, + "loss/crossentropy": 1.9112935066223145, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.19570891931653023, + "step": 360 + }, + { + "epoch": 0.06016666666666667, + "grad_norm": 46.25, + "grad_norm_var": 1.2802935959830835e+18, + "learning_rate": 9.911436253643445e-05, + "loss": 7.2566, + "loss/crossentropy": 1.8176748156547546, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.17950082197785378, + "step": 361 + }, + { + "epoch": 0.060333333333333336, + "grad_norm": 34.75, + "grad_norm_var": 1.2802935957807084e+18, + "learning_rate": 9.910945017282372e-05, + "loss": 7.3139, + "loss/crossentropy": 1.928529977798462, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.19035305082798004, + "step": 362 + }, + { + "epoch": 0.0605, + "grad_norm": 32.5, + "grad_norm_var": 1.2802935957402335e+18, + "learning_rate": 9.91045243455787e-05, + "loss": 7.5532, + "loss/crossentropy": 1.8307278454303741, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.26346417516469955, + "step": 363 + }, + { + "epoch": 0.06066666666666667, + "grad_norm": 32.25, + "grad_norm_var": 1.2802935959561e+18, + "learning_rate": 9.909958505604984e-05, + "loss": 7.0528, + "loss/crossentropy": 2.0617458522319794, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.184691421687603, + "step": 364 + }, + { + "epoch": 0.060833333333333336, + "grad_norm": 32.0, + "grad_norm_var": 1.280293596091017e+18, + "learning_rate": 9.909463230559127e-05, + "loss": 7.6179, + "loss/crossentropy": 2.155223786830902, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.24829794466495514, + "step": 365 + }, + { + "epoch": 0.061, + "grad_norm": 35.5, + "grad_norm_var": 1.280293596752109e+18, + "learning_rate": 9.908966609556079e-05, + "loss": 7.6505, + "loss/crossentropy": 2.0439819991588593, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.29273102432489395, + "step": 366 + }, + { + "epoch": 0.06116666666666667, + "grad_norm": 33.25, + "grad_norm_var": 4.172162731141148e+17, + "learning_rate": 9.908468642731995e-05, + "loss": 7.3032, + "loss/crossentropy": 2.034709244966507, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.2327149398624897, + "step": 367 + }, + { + "epoch": 0.06133333333333333, + "grad_norm": 33.25, + "grad_norm_var": 4.172162732917436e+17, + "learning_rate": 9.907969330223395e-05, + "loss": 7.4659, + "loss/crossentropy": 1.8745178282260895, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.1996840313076973, + "step": 368 + }, + { + "epoch": 0.0615, + "grad_norm": 31.75, + "grad_norm_var": 4.172162733455705e+17, + "learning_rate": 9.907468672167165e-05, + "loss": 7.4144, + "loss/crossentropy": 2.0388287007808685, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.2378864921629429, + "step": 369 + }, + { + "epoch": 0.06166666666666667, + "grad_norm": 30.375, + "grad_norm_var": 4.1721627340208877e+17, + "learning_rate": 9.906966668700567e-05, + "loss": 7.2032, + "loss/crossentropy": 2.2473433315753937, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1772308126091957, + "step": 370 + }, + { + "epoch": 0.06183333333333333, + "grad_norm": 32.25, + "grad_norm_var": 4.172162734074714e+17, + "learning_rate": 9.906463319961225e-05, + "loss": 7.3783, + "loss/crossentropy": 2.0179379880428314, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.21671415120363235, + "step": 371 + }, + { + "epoch": 0.062, + "grad_norm": 33.75, + "grad_norm_var": 4.172162733697926e+17, + "learning_rate": 9.90595862608714e-05, + "loss": 7.3767, + "loss/crossentropy": 1.8956446200609207, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.17291199415922165, + "step": 372 + }, + { + "epoch": 0.06216666666666667, + "grad_norm": 35.25, + "grad_norm_var": 4.172162732675215e+17, + "learning_rate": 9.90545258721667e-05, + "loss": 7.0952, + "loss/crossentropy": 1.9084904491901398, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.17385511845350266, + "step": 373 + }, + { + "epoch": 0.06233333333333333, + "grad_norm": 43.25, + "grad_norm_var": 4.172162730522139e+17, + "learning_rate": 9.904945203488554e-05, + "loss": 7.4098, + "loss/crossentropy": 2.5498337745666504, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.22701657190918922, + "step": 374 + }, + { + "epoch": 0.0625, + "grad_norm": 31.25, + "grad_norm_var": 4.1721627308451e+17, + "learning_rate": 9.904436475041891e-05, + "loss": 7.4016, + "loss/crossentropy": 2.4548984467983246, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.18526265025138855, + "step": 375 + }, + { + "epoch": 0.06266666666666666, + "grad_norm": 33.5, + "grad_norm_var": 18.427018229166666, + "learning_rate": 9.903926402016153e-05, + "loss": 7.5127, + "loss/crossentropy": 2.308915287256241, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.20047524943947792, + "step": 376 + }, + { + "epoch": 0.06283333333333334, + "grad_norm": 35.25, + "grad_norm_var": 8.6759765625, + "learning_rate": 9.903414984551179e-05, + "loss": 7.2701, + "loss/crossentropy": 1.520705834031105, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.16450045630335808, + "step": 377 + }, + { + "epoch": 0.063, + "grad_norm": 31.25, + "grad_norm_var": 8.978580729166667, + "learning_rate": 9.902902222787175e-05, + "loss": 7.4852, + "loss/crossentropy": 2.291164994239807, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.2040424570441246, + "step": 378 + }, + { + "epoch": 0.06316666666666666, + "grad_norm": 31.0, + "grad_norm_var": 9.327018229166667, + "learning_rate": 9.902388116864722e-05, + "loss": 7.4674, + "loss/crossentropy": 1.819806694984436, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.17983737587928772, + "step": 379 + }, + { + "epoch": 0.06333333333333334, + "grad_norm": 34.25, + "grad_norm_var": 9.258268229166667, + "learning_rate": 9.901872666924764e-05, + "loss": 7.6163, + "loss/crossentropy": 2.0015306621789932, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.24792687594890594, + "step": 380 + }, + { + "epoch": 0.0635, + "grad_norm": 33.0, + "grad_norm_var": 9.111393229166667, + "learning_rate": 9.901355873108609e-05, + "loss": 7.6637, + "loss/crossentropy": 2.000072866678238, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.23586535453796387, + "step": 381 + }, + { + "epoch": 0.06366666666666666, + "grad_norm": 33.25, + "grad_norm_var": 8.867643229166667, + "learning_rate": 9.900837735557947e-05, + "loss": 7.2072, + "loss/crossentropy": 2.2368247509002686, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.17863766849040985, + "step": 382 + }, + { + "epoch": 0.06383333333333334, + "grad_norm": 32.75, + "grad_norm_var": 8.8994140625, + "learning_rate": 9.900318254414821e-05, + "loss": 7.6932, + "loss/crossentropy": 2.405503123998642, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.19412217661738396, + "step": 383 + }, + { + "epoch": 0.064, + "grad_norm": 46.75, + "grad_norm_var": 19.9103515625, + "learning_rate": 9.899797429821656e-05, + "loss": 7.2723, + "loss/crossentropy": 1.9972580075263977, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2110944762825966, + "step": 384 + }, + { + "epoch": 0.06416666666666666, + "grad_norm": 35.5, + "grad_norm_var": 19.5119140625, + "learning_rate": 9.899275261921234e-05, + "loss": 7.3453, + "loss/crossentropy": 1.6727921962738037, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.20363643392920494, + "step": 385 + }, + { + "epoch": 0.06433333333333334, + "grad_norm": 32.25, + "grad_norm_var": 18.690625, + "learning_rate": 9.898751750856713e-05, + "loss": 7.3233, + "loss/crossentropy": 2.2225599586963654, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17307283729314804, + "step": 386 + }, + { + "epoch": 0.0645, + "grad_norm": 32.5, + "grad_norm_var": 18.614322916666666, + "learning_rate": 9.898226896771619e-05, + "loss": 7.3348, + "loss/crossentropy": 2.3554776310920715, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.19947733730077744, + "step": 387 + }, + { + "epoch": 0.06466666666666666, + "grad_norm": 31.375, + "grad_norm_var": 19.2587890625, + "learning_rate": 9.897700699809837e-05, + "loss": 7.5742, + "loss/crossentropy": 2.0066860020160675, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.20728905498981476, + "step": 388 + }, + { + "epoch": 0.06483333333333334, + "grad_norm": 32.5, + "grad_norm_var": 19.4650390625, + "learning_rate": 9.897173160115632e-05, + "loss": 7.4815, + "loss/crossentropy": 1.7207957953214645, + "loss/hidden": 3.90234375, + "loss/jsd": 0.0, + "loss/logits": 0.17158129811286926, + "step": 389 + }, + { + "epoch": 0.065, + "grad_norm": 31.75, + "grad_norm_var": 14.086393229166667, + "learning_rate": 9.896644277833631e-05, + "loss": 7.6021, + "loss/crossentropy": 2.282930314540863, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1811271533370018, + "step": 390 + }, + { + "epoch": 0.06516666666666666, + "grad_norm": 34.0, + "grad_norm_var": 13.6853515625, + "learning_rate": 9.896114053108829e-05, + "loss": 7.3217, + "loss/crossentropy": 2.172467976808548, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.18695824220776558, + "step": 391 + }, + { + "epoch": 0.06533333333333333, + "grad_norm": 32.75, + "grad_norm_var": 13.7509765625, + "learning_rate": 9.895582486086592e-05, + "loss": 7.363, + "loss/crossentropy": 2.033529132604599, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.21254323050379753, + "step": 392 + }, + { + "epoch": 0.0655, + "grad_norm": 33.5, + "grad_norm_var": 13.594205729166667, + "learning_rate": 9.89504957691265e-05, + "loss": 7.3398, + "loss/crossentropy": 1.848247617483139, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.18556710332632065, + "step": 393 + }, + { + "epoch": 0.06566666666666666, + "grad_norm": 30.5, + "grad_norm_var": 13.869205729166667, + "learning_rate": 9.894515325733103e-05, + "loss": 7.3527, + "loss/crossentropy": 2.0109578371047974, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1525113210082054, + "step": 394 + }, + { + "epoch": 0.06583333333333333, + "grad_norm": 34.0, + "grad_norm_var": 13.391080729166667, + "learning_rate": 9.893979732694421e-05, + "loss": 7.3288, + "loss/crossentropy": 2.3585988879203796, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17590664327144623, + "step": 395 + }, + { + "epoch": 0.066, + "grad_norm": 33.25, + "grad_norm_var": 13.392122395833333, + "learning_rate": 9.89344279794344e-05, + "loss": 7.3622, + "loss/crossentropy": 2.0552004277706146, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2060481533408165, + "step": 396 + }, + { + "epoch": 0.06616666666666667, + "grad_norm": 32.0, + "grad_norm_var": 13.551497395833334, + "learning_rate": 9.892904521627361e-05, + "loss": 7.2862, + "loss/crossentropy": 2.1628974080085754, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.22357721626758575, + "step": 397 + }, + { + "epoch": 0.06633333333333333, + "grad_norm": 35.75, + "grad_norm_var": 13.8041015625, + "learning_rate": 9.892364903893759e-05, + "loss": 7.2218, + "loss/crossentropy": 1.8713282942771912, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.1839936561882496, + "step": 398 + }, + { + "epoch": 0.0665, + "grad_norm": 34.25, + "grad_norm_var": 13.7306640625, + "learning_rate": 9.891823944890568e-05, + "loss": 7.3538, + "loss/crossentropy": 1.3194625228643417, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.19643132388591766, + "step": 399 + }, + { + "epoch": 0.06666666666666667, + "grad_norm": 41.75, + "grad_norm_var": 6.735872395833334, + "learning_rate": 9.8912816447661e-05, + "loss": 7.445, + "loss/crossentropy": 1.8842482566833496, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.19740041717886925, + "step": 400 + }, + { + "epoch": 0.06683333333333333, + "grad_norm": 37.0, + "grad_norm_var": 7.256184895833333, + "learning_rate": 9.890738003669029e-05, + "loss": 7.232, + "loss/crossentropy": 1.4622259736061096, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.21342862397432327, + "step": 401 + }, + { + "epoch": 0.067, + "grad_norm": 32.0, + "grad_norm_var": 7.308268229166667, + "learning_rate": 9.890193021748395e-05, + "loss": 7.2306, + "loss/crossentropy": 1.8058496713638306, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.1889837346971035, + "step": 402 + }, + { + "epoch": 0.06716666666666667, + "grad_norm": 33.5, + "grad_norm_var": 7.2134765625, + "learning_rate": 9.88964669915361e-05, + "loss": 7.5215, + "loss/crossentropy": 1.8579385876655579, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.19213734194636345, + "step": 403 + }, + { + "epoch": 0.06733333333333333, + "grad_norm": 33.75, + "grad_norm_var": 6.81640625, + "learning_rate": 9.889099036034451e-05, + "loss": 7.5444, + "loss/crossentropy": 2.120022624731064, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2287553995847702, + "step": 404 + }, + { + "epoch": 0.0675, + "grad_norm": 33.0, + "grad_norm_var": 6.739322916666667, + "learning_rate": 9.888550032541059e-05, + "loss": 7.3545, + "loss/crossentropy": 1.3314496725797653, + "loss/hidden": 3.765625, + "loss/jsd": 0.0, + "loss/logits": 0.18857388570904732, + "step": 405 + }, + { + "epoch": 0.06766666666666667, + "grad_norm": 38.5, + "grad_norm_var": 7.632291666666666, + "learning_rate": 9.887999688823955e-05, + "loss": 7.2507, + "loss/crossentropy": 2.1126837134361267, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.17216311395168304, + "step": 406 + }, + { + "epoch": 0.06783333333333333, + "grad_norm": 31.875, + "grad_norm_var": 8.0119140625, + "learning_rate": 9.88744800503401e-05, + "loss": 7.1781, + "loss/crossentropy": 2.1377086341381073, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1858111023902893, + "step": 407 + }, + { + "epoch": 0.068, + "grad_norm": 29.625, + "grad_norm_var": 9.230989583333333, + "learning_rate": 9.886894981322476e-05, + "loss": 7.3993, + "loss/crossentropy": 2.1618523001670837, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.20276832208037376, + "step": 408 + }, + { + "epoch": 0.06816666666666667, + "grad_norm": 37.25, + "grad_norm_var": 9.852083333333333, + "learning_rate": 9.886340617840968e-05, + "loss": 7.1343, + "loss/crossentropy": 1.9829298257827759, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1895209550857544, + "step": 409 + }, + { + "epoch": 0.06833333333333333, + "grad_norm": 32.75, + "grad_norm_var": 9.043489583333333, + "learning_rate": 9.885784914741465e-05, + "loss": 7.3848, + "loss/crossentropy": 1.9673973619937897, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1718750186264515, + "step": 410 + }, + { + "epoch": 0.0685, + "grad_norm": 31.75, + "grad_norm_var": 9.477083333333333, + "learning_rate": 9.88522787217632e-05, + "loss": 7.1923, + "loss/crossentropy": 2.023388981819153, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.17376725003123283, + "step": 411 + }, + { + "epoch": 0.06866666666666667, + "grad_norm": 32.25, + "grad_norm_var": 9.672916666666667, + "learning_rate": 9.884669490298244e-05, + "loss": 7.3261, + "loss/crossentropy": 1.9144360721111298, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1796419359743595, + "step": 412 + }, + { + "epoch": 0.06883333333333333, + "grad_norm": 35.0, + "grad_norm_var": 9.360416666666667, + "learning_rate": 9.884109769260325e-05, + "loss": 7.4866, + "loss/crossentropy": 1.9528678357601166, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.21739878505468369, + "step": 413 + }, + { + "epoch": 0.069, + "grad_norm": 33.5, + "grad_norm_var": 9.264322916666666, + "learning_rate": 9.883548709216013e-05, + "loss": 7.3382, + "loss/crossentropy": 1.7033936232328415, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.19289804250001907, + "step": 414 + }, + { + "epoch": 0.06916666666666667, + "grad_norm": 35.0, + "grad_norm_var": 9.301041666666666, + "learning_rate": 9.882986310319124e-05, + "loss": 7.2687, + "loss/crossentropy": 1.8803034126758575, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.16312895342707634, + "step": 415 + }, + { + "epoch": 0.06933333333333333, + "grad_norm": 39.5, + "grad_norm_var": 7.376822916666667, + "learning_rate": 9.882422572723844e-05, + "loss": 7.5184, + "loss/crossentropy": 1.9304080605506897, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.2324250303208828, + "step": 416 + }, + { + "epoch": 0.0695, + "grad_norm": 32.5, + "grad_norm_var": 6.926822916666667, + "learning_rate": 9.881857496584726e-05, + "loss": 7.458, + "loss/crossentropy": 2.000861704349518, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.2086937390267849, + "step": 417 + }, + { + "epoch": 0.06966666666666667, + "grad_norm": 31.5, + "grad_norm_var": 7.06640625, + "learning_rate": 9.881291082056685e-05, + "loss": 7.5073, + "loss/crossentropy": 1.7774852812290192, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19647850096225739, + "step": 418 + }, + { + "epoch": 0.06983333333333333, + "grad_norm": 31.25, + "grad_norm_var": 7.48125, + "learning_rate": 9.880723329295012e-05, + "loss": 7.5581, + "loss/crossentropy": 1.8696882873773575, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.24500614032149315, + "step": 419 + }, + { + "epoch": 0.07, + "grad_norm": 31.625, + "grad_norm_var": 7.745768229166667, + "learning_rate": 9.880154238455356e-05, + "loss": 7.2781, + "loss/crossentropy": 2.131507694721222, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.19151924923062325, + "step": 420 + }, + { + "epoch": 0.07016666666666667, + "grad_norm": 33.0, + "grad_norm_var": 7.745768229166667, + "learning_rate": 9.879583809693738e-05, + "loss": 7.5388, + "loss/crossentropy": 2.105042278766632, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1929212473332882, + "step": 421 + }, + { + "epoch": 0.07033333333333333, + "grad_norm": 32.75, + "grad_norm_var": 6.020768229166666, + "learning_rate": 9.879012043166542e-05, + "loss": 7.2608, + "loss/crossentropy": 2.0129053592681885, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.161848496645689, + "step": 422 + }, + { + "epoch": 0.0705, + "grad_norm": 34.25, + "grad_norm_var": 5.955208333333333, + "learning_rate": 9.878438939030526e-05, + "loss": 7.4747, + "loss/crossentropy": 1.9779498279094696, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17465418577194214, + "step": 423 + }, + { + "epoch": 0.07066666666666667, + "grad_norm": 38.0, + "grad_norm_var": 6.186393229166667, + "learning_rate": 9.877864497442804e-05, + "loss": 7.4397, + "loss/crossentropy": 2.0635344684123993, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.18920517340302467, + "step": 424 + }, + { + "epoch": 0.07083333333333333, + "grad_norm": 33.25, + "grad_norm_var": 5.3822265625, + "learning_rate": 9.877288718560866e-05, + "loss": 7.3153, + "loss/crossentropy": 1.782182663679123, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.2136215791106224, + "step": 425 + }, + { + "epoch": 0.071, + "grad_norm": 32.0, + "grad_norm_var": 5.5041015625, + "learning_rate": 9.876711602542563e-05, + "loss": 7.4077, + "loss/crossentropy": 1.6254926919937134, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.194427989423275, + "step": 426 + }, + { + "epoch": 0.07116666666666667, + "grad_norm": 30.25, + "grad_norm_var": 6.0087890625, + "learning_rate": 9.876133149546118e-05, + "loss": 7.3599, + "loss/crossentropy": 2.198939800262451, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.18414749205112457, + "step": 427 + }, + { + "epoch": 0.07133333333333333, + "grad_norm": 35.0, + "grad_norm_var": 6.031705729166666, + "learning_rate": 9.875553359730114e-05, + "loss": 7.4082, + "loss/crossentropy": 2.247727543115616, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.19302746653556824, + "step": 428 + }, + { + "epoch": 0.0715, + "grad_norm": 34.0, + "grad_norm_var": 5.913997395833333, + "learning_rate": 9.874972233253504e-05, + "loss": 7.3478, + "loss/crossentropy": 2.195002317428589, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.17825636267662048, + "step": 429 + }, + { + "epoch": 0.07166666666666667, + "grad_norm": 28.75, + "grad_norm_var": 7.378580729166667, + "learning_rate": 9.874389770275607e-05, + "loss": 7.2517, + "loss/crossentropy": 2.2952789962291718, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16881508007645607, + "step": 430 + }, + { + "epoch": 0.07183333333333333, + "grad_norm": 30.375, + "grad_norm_var": 7.660416666666666, + "learning_rate": 9.87380597095611e-05, + "loss": 7.3159, + "loss/crossentropy": 1.8355306088924408, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.17771482467651367, + "step": 431 + }, + { + "epoch": 0.072, + "grad_norm": 32.5, + "grad_norm_var": 4.65625, + "learning_rate": 9.873220835455064e-05, + "loss": 7.3736, + "loss/crossentropy": 2.0866390466690063, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1750289537012577, + "step": 432 + }, + { + "epoch": 0.07216666666666667, + "grad_norm": 34.75, + "grad_norm_var": 4.95390625, + "learning_rate": 9.872634363932887e-05, + "loss": 7.3727, + "loss/crossentropy": 2.025203436613083, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1730334535241127, + "step": 433 + }, + { + "epoch": 0.07233333333333333, + "grad_norm": 36.25, + "grad_norm_var": 5.602083333333334, + "learning_rate": 9.872046556550363e-05, + "loss": 7.2171, + "loss/crossentropy": 2.128805488348007, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.19256963953375816, + "step": 434 + }, + { + "epoch": 0.0725, + "grad_norm": 33.0, + "grad_norm_var": 5.38515625, + "learning_rate": 9.871457413468644e-05, + "loss": 7.3632, + "loss/crossentropy": 1.7909742146730423, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.18350538611412048, + "step": 435 + }, + { + "epoch": 0.07266666666666667, + "grad_norm": 32.5, + "grad_norm_var": 5.259830729166667, + "learning_rate": 9.870866934849248e-05, + "loss": 7.2637, + "loss/crossentropy": 1.7241093814373016, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.2180027849972248, + "step": 436 + }, + { + "epoch": 0.07283333333333333, + "grad_norm": 32.75, + "grad_norm_var": 5.269205729166667, + "learning_rate": 9.870275120854054e-05, + "loss": 7.4072, + "loss/crossentropy": 1.9474639296531677, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18808619305491447, + "step": 437 + }, + { + "epoch": 0.073, + "grad_norm": 38.75, + "grad_norm_var": 7.200455729166666, + "learning_rate": 9.869681971645315e-05, + "loss": 7.3156, + "loss/crossentropy": 1.4366422295570374, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.16360682621598244, + "step": 438 + }, + { + "epoch": 0.07316666666666667, + "grad_norm": 33.75, + "grad_norm_var": 7.167643229166667, + "learning_rate": 9.869087487385644e-05, + "loss": 7.226, + "loss/crossentropy": 1.7024643123149872, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.15661080181598663, + "step": 439 + }, + { + "epoch": 0.07333333333333333, + "grad_norm": 31.625, + "grad_norm_var": 5.876041666666667, + "learning_rate": 9.868491668238025e-05, + "loss": 7.4396, + "loss/crossentropy": 1.8631815910339355, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.2046206295490265, + "step": 440 + }, + { + "epoch": 0.0735, + "grad_norm": 33.0, + "grad_norm_var": 5.874739583333334, + "learning_rate": 9.867894514365802e-05, + "loss": 7.2107, + "loss/crossentropy": 1.690757930278778, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1710291989147663, + "step": 441 + }, + { + "epoch": 0.07366666666666667, + "grad_norm": 31.125, + "grad_norm_var": 6.048372395833334, + "learning_rate": 9.867296025932688e-05, + "loss": 7.2471, + "loss/crossentropy": 2.181719124317169, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1899368017911911, + "step": 442 + }, + { + "epoch": 0.07383333333333333, + "grad_norm": 33.0, + "grad_norm_var": 5.5041015625, + "learning_rate": 9.866696203102766e-05, + "loss": 7.5269, + "loss/crossentropy": 2.421279162168503, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.21067209541797638, + "step": 443 + }, + { + "epoch": 0.074, + "grad_norm": 32.5, + "grad_norm_var": 5.2931640625, + "learning_rate": 9.866095046040478e-05, + "loss": 7.5283, + "loss/crossentropy": 2.0766140818595886, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.19953646883368492, + "step": 444 + }, + { + "epoch": 0.07416666666666667, + "grad_norm": 31.875, + "grad_norm_var": 5.303125, + "learning_rate": 9.865492554910633e-05, + "loss": 7.5428, + "loss/crossentropy": 1.8468139171600342, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.21182066947221756, + "step": 445 + }, + { + "epoch": 0.07433333333333333, + "grad_norm": 32.0, + "grad_norm_var": 4.162239583333333, + "learning_rate": 9.86488872987841e-05, + "loss": 7.3663, + "loss/crossentropy": 2.3212408125400543, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.20349783077836037, + "step": 446 + }, + { + "epoch": 0.0745, + "grad_norm": 36.75, + "grad_norm_var": 4.378059895833333, + "learning_rate": 9.864283571109352e-05, + "loss": 7.4066, + "loss/crossentropy": 2.3919509053230286, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.20775995030999184, + "step": 447 + }, + { + "epoch": 0.07466666666666667, + "grad_norm": 39.25, + "grad_norm_var": 6.318684895833333, + "learning_rate": 9.863677078769362e-05, + "loss": 7.4543, + "loss/crossentropy": 2.1256485879421234, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.2432199865579605, + "step": 448 + }, + { + "epoch": 0.07483333333333334, + "grad_norm": 33.75, + "grad_norm_var": 6.271809895833333, + "learning_rate": 9.863069253024719e-05, + "loss": 7.5944, + "loss/crossentropy": 1.751033991575241, + "loss/hidden": 3.8828125, + "loss/jsd": 0.0, + "loss/logits": 0.2695496417582035, + "step": 449 + }, + { + "epoch": 0.075, + "grad_norm": 33.75, + "grad_norm_var": 5.8681640625, + "learning_rate": 9.862460094042056e-05, + "loss": 7.2885, + "loss/crossentropy": 2.0045522451400757, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.21929249167442322, + "step": 450 + }, + { + "epoch": 0.07516666666666667, + "grad_norm": 31.5, + "grad_norm_var": 6.1509765625, + "learning_rate": 9.861849601988383e-05, + "loss": 7.3548, + "loss/crossentropy": 2.2150400578975677, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.1829955205321312, + "step": 451 + }, + { + "epoch": 0.07533333333333334, + "grad_norm": 31.625, + "grad_norm_var": 6.329166666666667, + "learning_rate": 9.861237777031068e-05, + "loss": 7.5843, + "loss/crossentropy": 2.0443906784057617, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1967557854950428, + "step": 452 + }, + { + "epoch": 0.0755, + "grad_norm": 32.75, + "grad_norm_var": 6.329166666666667, + "learning_rate": 9.860624619337844e-05, + "loss": 7.2489, + "loss/crossentropy": 2.106353849172592, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.19701764360070229, + "step": 453 + }, + { + "epoch": 0.07566666666666666, + "grad_norm": 34.0, + "grad_norm_var": 4.45390625, + "learning_rate": 9.860010129076813e-05, + "loss": 7.3707, + "loss/crossentropy": 1.9924251735210419, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.18526853993535042, + "step": 454 + }, + { + "epoch": 0.07583333333333334, + "grad_norm": 32.0, + "grad_norm_var": 4.532291666666667, + "learning_rate": 9.859394306416444e-05, + "loss": 7.3933, + "loss/crossentropy": 1.6768793761730194, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.23321601003408432, + "step": 455 + }, + { + "epoch": 0.076, + "grad_norm": 34.5, + "grad_norm_var": 4.4619140625, + "learning_rate": 9.858777151525564e-05, + "loss": 7.2093, + "loss/crossentropy": 2.154035836458206, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1648601647466421, + "step": 456 + }, + { + "epoch": 0.07616666666666666, + "grad_norm": 34.5, + "grad_norm_var": 4.5353515625, + "learning_rate": 9.85815866457337e-05, + "loss": 7.4823, + "loss/crossentropy": 2.151414453983307, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.2598721943795681, + "step": 457 + }, + { + "epoch": 0.07633333333333334, + "grad_norm": 32.0, + "grad_norm_var": 4.314322916666667, + "learning_rate": 9.857538845729426e-05, + "loss": 7.142, + "loss/crossentropy": 2.3205729722976685, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.19651631638407707, + "step": 458 + }, + { + "epoch": 0.0765, + "grad_norm": 32.0, + "grad_norm_var": 4.44140625, + "learning_rate": 9.856917695163658e-05, + "loss": 7.4089, + "loss/crossentropy": 1.6730692237615585, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.20352322235703468, + "step": 459 + }, + { + "epoch": 0.07666666666666666, + "grad_norm": 31.875, + "grad_norm_var": 4.542643229166667, + "learning_rate": 9.856295213046357e-05, + "loss": 7.3371, + "loss/crossentropy": 2.4532963037490845, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.21194115281105042, + "step": 460 + }, + { + "epoch": 0.07683333333333334, + "grad_norm": 29.375, + "grad_norm_var": 5.435872395833333, + "learning_rate": 9.855671399548181e-05, + "loss": 7.4147, + "loss/crossentropy": 1.6418677270412445, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.20057519152760506, + "step": 461 + }, + { + "epoch": 0.077, + "grad_norm": 32.25, + "grad_norm_var": 5.398893229166666, + "learning_rate": 9.855046254840151e-05, + "loss": 7.4987, + "loss/crossentropy": 1.9779995381832123, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.2105957791209221, + "step": 462 + }, + { + "epoch": 0.07716666666666666, + "grad_norm": 39.5, + "grad_norm_var": 7.157747395833334, + "learning_rate": 9.854419779093655e-05, + "loss": 7.7277, + "loss/crossentropy": 1.5468579232692719, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.17518384009599686, + "step": 463 + }, + { + "epoch": 0.07733333333333334, + "grad_norm": 31.625, + "grad_norm_var": 4.858333333333333, + "learning_rate": 9.853791972480445e-05, + "loss": 7.2777, + "loss/crossentropy": 2.683764636516571, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.17364051938056946, + "step": 464 + }, + { + "epoch": 0.0775, + "grad_norm": 30.625, + "grad_norm_var": 5.130143229166666, + "learning_rate": 9.853162835172637e-05, + "loss": 7.1146, + "loss/crossentropy": 1.7351168394088745, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17206433415412903, + "step": 465 + }, + { + "epoch": 0.07766666666666666, + "grad_norm": 33.25, + "grad_norm_var": 5.078580729166666, + "learning_rate": 9.852532367342713e-05, + "loss": 7.3142, + "loss/crossentropy": 2.0744443237781525, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.19953011348843575, + "step": 466 + }, + { + "epoch": 0.07783333333333334, + "grad_norm": 30.875, + "grad_norm_var": 5.20390625, + "learning_rate": 9.851900569163519e-05, + "loss": 7.3702, + "loss/crossentropy": 2.4033637046813965, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.19170591607689857, + "step": 467 + }, + { + "epoch": 0.078, + "grad_norm": 31.875, + "grad_norm_var": 5.172916666666667, + "learning_rate": 9.851267440808265e-05, + "loss": 7.3081, + "loss/crossentropy": 2.3863994479179382, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.18752896040678024, + "step": 468 + }, + { + "epoch": 0.07816666666666666, + "grad_norm": 37.0, + "grad_norm_var": 6.337239583333333, + "learning_rate": 9.85063298245053e-05, + "loss": 7.4378, + "loss/crossentropy": 1.724489688873291, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.21728365495800972, + "step": 469 + }, + { + "epoch": 0.07833333333333334, + "grad_norm": 38.75, + "grad_norm_var": 8.410416666666666, + "learning_rate": 9.84999719426425e-05, + "loss": 7.491, + "loss/crossentropy": 1.7358942180871964, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.2069646678864956, + "step": 470 + }, + { + "epoch": 0.0785, + "grad_norm": 34.75, + "grad_norm_var": 8.424739583333333, + "learning_rate": 9.849360076423734e-05, + "loss": 7.1822, + "loss/crossentropy": 1.9611319601535797, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.16901595145463943, + "step": 471 + }, + { + "epoch": 0.07866666666666666, + "grad_norm": 33.0, + "grad_norm_var": 8.349739583333333, + "learning_rate": 9.84872162910365e-05, + "loss": 7.4088, + "loss/crossentropy": 1.8835695087909698, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.22427978739142418, + "step": 472 + }, + { + "epoch": 0.07883333333333334, + "grad_norm": 30.5, + "grad_norm_var": 8.724739583333333, + "learning_rate": 9.84808185247903e-05, + "loss": 7.3324, + "loss/crossentropy": 2.1350006461143494, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.19744988158345222, + "step": 473 + }, + { + "epoch": 0.079, + "grad_norm": 35.25, + "grad_norm_var": 8.917708333333334, + "learning_rate": 9.847440746725275e-05, + "loss": 7.1986, + "loss/crossentropy": 1.997681975364685, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1898837462067604, + "step": 474 + }, + { + "epoch": 0.07916666666666666, + "grad_norm": 39.75, + "grad_norm_var": 11.34765625, + "learning_rate": 9.846798312018146e-05, + "loss": 7.3897, + "loss/crossentropy": 2.253058522939682, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.22173089161515236, + "step": 475 + }, + { + "epoch": 0.07933333333333334, + "grad_norm": 34.0, + "grad_norm_var": 11.094205729166667, + "learning_rate": 9.846154548533773e-05, + "loss": 7.1971, + "loss/crossentropy": 2.1781056821346283, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.2001049444079399, + "step": 476 + }, + { + "epoch": 0.0795, + "grad_norm": 29.625, + "grad_norm_var": 10.947330729166667, + "learning_rate": 9.845509456448643e-05, + "loss": 7.2308, + "loss/crossentropy": 2.23237344622612, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.18285806477069855, + "step": 477 + }, + { + "epoch": 0.07966666666666666, + "grad_norm": 4060086272.0, + "grad_norm_var": 1.0302687662371242e+18, + "learning_rate": 9.844863035939615e-05, + "loss": 8.7708, + "loss/crossentropy": 2.050332546234131, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.1951880268752575, + "step": 478 + }, + { + "epoch": 0.07983333333333334, + "grad_norm": 42.75, + "grad_norm_var": 1.0302687661271636e+18, + "learning_rate": 9.844215287183909e-05, + "loss": 7.4037, + "loss/crossentropy": 1.9212382435798645, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1802588328719139, + "step": 479 + }, + { + "epoch": 0.08, + "grad_norm": 39.25, + "grad_norm_var": 1.030268765869179e+18, + "learning_rate": 9.843566210359106e-05, + "loss": 7.5005, + "loss/crossentropy": 2.1036358773708344, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.23785079643130302, + "step": 480 + }, + { + "epoch": 0.08016666666666666, + "grad_norm": 31.125, + "grad_norm_var": 1.0302687658522619e+18, + "learning_rate": 9.842915805643155e-05, + "loss": 7.2304, + "loss/crossentropy": 1.495644435286522, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.2004375085234642, + "step": 481 + }, + { + "epoch": 0.08033333333333334, + "grad_norm": 31.0, + "grad_norm_var": 1.0302687659283886e+18, + "learning_rate": 9.842264073214371e-05, + "loss": 7.3683, + "loss/crossentropy": 1.248510017991066, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.19620612636208534, + "step": 482 + }, + { + "epoch": 0.0805, + "grad_norm": 31.0, + "grad_norm_var": 1.0302687659241594e+18, + "learning_rate": 9.841611013251429e-05, + "loss": 7.5022, + "loss/crossentropy": 2.183932900428772, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.18435726314783096, + "step": 483 + }, + { + "epoch": 0.08066666666666666, + "grad_norm": 34.5, + "grad_norm_var": 1.0302687658353449e+18, + "learning_rate": 9.840956625933367e-05, + "loss": 7.2567, + "loss/crossentropy": 2.0957889556884766, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.20050502195954323, + "step": 484 + }, + { + "epoch": 0.08083333333333333, + "grad_norm": 39.5, + "grad_norm_var": 1.0302687657507598e+18, + "learning_rate": 9.840300911439591e-05, + "loss": 7.2279, + "loss/crossentropy": 2.1745176017284393, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.17116260156035423, + "step": 485 + }, + { + "epoch": 0.081, + "grad_norm": 35.75, + "grad_norm_var": 1.0302687658522619e+18, + "learning_rate": 9.839643869949866e-05, + "loss": 7.1858, + "loss/crossentropy": 2.020654261112213, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1931912563741207, + "step": 486 + }, + { + "epoch": 0.08116666666666666, + "grad_norm": 30.375, + "grad_norm_var": 1.030268766000286e+18, + "learning_rate": 9.838985501644328e-05, + "loss": 7.579, + "loss/crossentropy": 1.9844678938388824, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.19125735759735107, + "step": 487 + }, + { + "epoch": 0.08133333333333333, + "grad_norm": 38.0, + "grad_norm_var": 1.0302687658311156e+18, + "learning_rate": 9.83832580670347e-05, + "loss": 7.2854, + "loss/crossentropy": 1.9453465342521667, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.2013980746269226, + "step": 488 + }, + { + "epoch": 0.0815, + "grad_norm": 32.75, + "grad_norm_var": 1.030268765754989e+18, + "learning_rate": 9.837664785308149e-05, + "loss": 7.1819, + "loss/crossentropy": 1.9938696026802063, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16968103870749474, + "step": 489 + }, + { + "epoch": 0.08166666666666667, + "grad_norm": 31.75, + "grad_norm_var": 1.0302687658734083e+18, + "learning_rate": 9.837002437639593e-05, + "loss": 7.2293, + "loss/crossentropy": 1.6919759213924408, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.17779743671417236, + "step": 490 + }, + { + "epoch": 0.08183333333333333, + "grad_norm": 29.625, + "grad_norm_var": 1.030268766215978e+18, + "learning_rate": 9.836338763879385e-05, + "loss": 7.2308, + "loss/crossentropy": 1.9851961731910706, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.22075363248586655, + "step": 491 + }, + { + "epoch": 0.082, + "grad_norm": 33.75, + "grad_norm_var": 1.0302687662244365e+18, + "learning_rate": 9.835673764209474e-05, + "loss": 7.3698, + "loss/crossentropy": 1.759193554520607, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.1959233544766903, + "step": 492 + }, + { + "epoch": 0.08216666666666667, + "grad_norm": 34.25, + "grad_norm_var": 1.030268766067954e+18, + "learning_rate": 9.835007438812177e-05, + "loss": 7.3148, + "loss/crossentropy": 1.7496148943901062, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.19785473495721817, + "step": 493 + }, + { + "epoch": 0.08233333333333333, + "grad_norm": 29.75, + "grad_norm_var": 15.7978515625, + "learning_rate": 9.834339787870166e-05, + "loss": 7.5355, + "loss/crossentropy": 2.0986676067113876, + "loss/hidden": 3.7734375, + "loss/jsd": 0.0, + "loss/logits": 0.19847061857581139, + "step": 494 + }, + { + "epoch": 0.0825, + "grad_norm": 32.25, + "grad_norm_var": 10.5369140625, + "learning_rate": 9.833670811566485e-05, + "loss": 7.1154, + "loss/crossentropy": 1.5699402540922165, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.1794753484427929, + "step": 495 + }, + { + "epoch": 0.08266666666666667, + "grad_norm": 37.0, + "grad_norm_var": 9.1025390625, + "learning_rate": 9.833000510084537e-05, + "loss": 7.3676, + "loss/crossentropy": 1.7302229404449463, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.19138918817043304, + "step": 496 + }, + { + "epoch": 0.08283333333333333, + "grad_norm": 34.25, + "grad_norm_var": 8.817708333333334, + "learning_rate": 9.832328883608088e-05, + "loss": 7.2645, + "loss/crossentropy": 2.1858323514461517, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.18926378339529037, + "step": 497 + }, + { + "epoch": 0.083, + "grad_norm": 31.75, + "grad_norm_var": 8.605989583333333, + "learning_rate": 9.83165593232127e-05, + "loss": 7.3413, + "loss/crossentropy": 1.4862932115793228, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.19968301057815552, + "step": 498 + }, + { + "epoch": 0.08316666666666667, + "grad_norm": 33.0, + "grad_norm_var": 8.18515625, + "learning_rate": 9.830981656408574e-05, + "loss": 7.2423, + "loss/crossentropy": 1.6016323864459991, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.197268046438694, + "step": 499 + }, + { + "epoch": 0.08333333333333333, + "grad_norm": 31.625, + "grad_norm_var": 8.372330729166666, + "learning_rate": 9.830306056054858e-05, + "loss": 7.3029, + "loss/crossentropy": 1.7606691420078278, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.20658674463629723, + "step": 500 + }, + { + "epoch": 0.0835, + "grad_norm": 30.875, + "grad_norm_var": 6.076822916666667, + "learning_rate": 9.829629131445342e-05, + "loss": 7.2979, + "loss/crossentropy": 1.6005878746509552, + "loss/hidden": 3.88671875, + "loss/jsd": 0.0, + "loss/logits": 0.24985505267977715, + "step": 501 + }, + { + "epoch": 0.08366666666666667, + "grad_norm": 34.25, + "grad_norm_var": 5.651822916666666, + "learning_rate": 9.828950882765608e-05, + "loss": 7.3027, + "loss/crossentropy": 1.9283245205879211, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17439668625593185, + "step": 502 + }, + { + "epoch": 0.08383333333333333, + "grad_norm": 33.25, + "grad_norm_var": 5.228059895833334, + "learning_rate": 9.828271310201601e-05, + "loss": 7.2721, + "loss/crossentropy": 1.546176627278328, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.22614171728491783, + "step": 503 + }, + { + "epoch": 0.084, + "grad_norm": 33.75, + "grad_norm_var": 3.528059895833333, + "learning_rate": 9.827590413939632e-05, + "loss": 7.3988, + "loss/crossentropy": 2.066196322441101, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.23446843028068542, + "step": 504 + }, + { + "epoch": 0.08416666666666667, + "grad_norm": 32.5, + "grad_norm_var": 3.5317057291666667, + "learning_rate": 9.82690819416637e-05, + "loss": 7.2985, + "loss/crossentropy": 1.7853144407272339, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.1875152923166752, + "step": 505 + }, + { + "epoch": 0.08433333333333333, + "grad_norm": 30.5, + "grad_norm_var": 3.792122395833333, + "learning_rate": 9.826224651068852e-05, + "loss": 7.2318, + "loss/crossentropy": 2.338760584592819, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.20884433016180992, + "step": 506 + }, + { + "epoch": 0.0845, + "grad_norm": 32.5, + "grad_norm_var": 3.1497395833333335, + "learning_rate": 9.825539784834472e-05, + "loss": 7.2198, + "loss/crossentropy": 2.0317736864089966, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.19717568531632423, + "step": 507 + }, + { + "epoch": 0.08466666666666667, + "grad_norm": 30.0, + "grad_norm_var": 3.5677083333333335, + "learning_rate": 9.824853595650991e-05, + "loss": 7.3425, + "loss/crossentropy": 2.238571286201477, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1741107814013958, + "step": 508 + }, + { + "epoch": 0.08483333333333333, + "grad_norm": 32.25, + "grad_norm_var": 3.3760416666666666, + "learning_rate": 9.824166083706534e-05, + "loss": 7.5655, + "loss/crossentropy": 2.2807562947273254, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.20003702491521835, + "step": 509 + }, + { + "epoch": 0.085, + "grad_norm": 31.75, + "grad_norm_var": 2.9010416666666665, + "learning_rate": 9.823477249189586e-05, + "loss": 7.5241, + "loss/crossentropy": 1.9748588800430298, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.15270168893039227, + "step": 510 + }, + { + "epoch": 0.08516666666666667, + "grad_norm": 36.0, + "grad_norm_var": 3.6080729166666665, + "learning_rate": 9.822787092288991e-05, + "loss": 7.175, + "loss/crossentropy": 1.509592205286026, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.17142293229699135, + "step": 511 + }, + { + "epoch": 0.08533333333333333, + "grad_norm": 39.75, + "grad_norm_var": 5.610416666666667, + "learning_rate": 9.822095613193962e-05, + "loss": 7.2398, + "loss/crossentropy": 1.9376066327095032, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1732519268989563, + "step": 512 + }, + { + "epoch": 0.0855, + "grad_norm": 31.625, + "grad_norm_var": 5.603580729166667, + "learning_rate": 9.821402812094073e-05, + "loss": 7.417, + "loss/crossentropy": 2.128629118204117, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1934521086513996, + "step": 513 + }, + { + "epoch": 0.08566666666666667, + "grad_norm": 34.5, + "grad_norm_var": 5.678059895833333, + "learning_rate": 9.820708689179259e-05, + "loss": 7.3364, + "loss/crossentropy": 1.7944347858428955, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.14837288111448288, + "step": 514 + }, + { + "epoch": 0.08583333333333333, + "grad_norm": 32.25, + "grad_norm_var": 5.713997395833333, + "learning_rate": 9.820013244639816e-05, + "loss": 7.4981, + "loss/crossentropy": 1.5384874045848846, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.15830077044665813, + "step": 515 + }, + { + "epoch": 0.086, + "grad_norm": 33.5, + "grad_norm_var": 5.599739583333333, + "learning_rate": 9.819316478666405e-05, + "loss": 7.5107, + "loss/crossentropy": 1.8282313644886017, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.24127519503235817, + "step": 516 + }, + { + "epoch": 0.08616666666666667, + "grad_norm": 36.25, + "grad_norm_var": 5.826497395833333, + "learning_rate": 9.81861839145005e-05, + "loss": 7.5059, + "loss/crossentropy": 1.7223950922489166, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.21317560225725174, + "step": 517 + }, + { + "epoch": 0.08633333333333333, + "grad_norm": 32.75, + "grad_norm_var": 5.799934895833333, + "learning_rate": 9.817918983182132e-05, + "loss": 7.4321, + "loss/crossentropy": 2.056610018014908, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.2198064923286438, + "step": 518 + }, + { + "epoch": 0.0865, + "grad_norm": 31.625, + "grad_norm_var": 5.980208333333334, + "learning_rate": 9.8172182540544e-05, + "loss": 7.099, + "loss/crossentropy": 1.5413986295461655, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.17947009205818176, + "step": 519 + }, + { + "epoch": 0.08666666666666667, + "grad_norm": 34.25, + "grad_norm_var": 6.03125, + "learning_rate": 9.816516204258963e-05, + "loss": 7.3258, + "loss/crossentropy": 1.9781705439090729, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.21023594588041306, + "step": 520 + }, + { + "epoch": 0.08683333333333333, + "grad_norm": 34.5, + "grad_norm_var": 6.08125, + "learning_rate": 9.815812833988291e-05, + "loss": 7.1305, + "loss/crossentropy": 2.3283976316452026, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.20475587621331215, + "step": 521 + }, + { + "epoch": 0.087, + "grad_norm": 33.0, + "grad_norm_var": 5.513541666666667, + "learning_rate": 9.815108143435218e-05, + "loss": 7.4251, + "loss/crossentropy": 1.9967394471168518, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17605987191200256, + "step": 522 + }, + { + "epoch": 0.08716666666666667, + "grad_norm": 32.0, + "grad_norm_var": 5.597916666666666, + "learning_rate": 9.814402132792939e-05, + "loss": 7.24, + "loss/crossentropy": 1.959173321723938, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1960609070956707, + "step": 523 + }, + { + "epoch": 0.08733333333333333, + "grad_norm": 34.75, + "grad_norm_var": 4.79140625, + "learning_rate": 9.81369480225501e-05, + "loss": 7.4309, + "loss/crossentropy": 1.61872236430645, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.17693763226270676, + "step": 524 + }, + { + "epoch": 0.0875, + "grad_norm": 34.0, + "grad_norm_var": 4.621875, + "learning_rate": 9.812986152015348e-05, + "loss": 7.1741, + "loss/crossentropy": 1.8704243898391724, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.16461655870079994, + "step": 525 + }, + { + "epoch": 0.08766666666666667, + "grad_norm": 33.25, + "grad_norm_var": 4.33125, + "learning_rate": 9.812276182268236e-05, + "loss": 6.9185, + "loss/crossentropy": 1.6973167210817337, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16682424396276474, + "step": 526 + }, + { + "epoch": 0.08783333333333333, + "grad_norm": 33.75, + "grad_norm_var": 4.04765625, + "learning_rate": 9.811564893208318e-05, + "loss": 7.2562, + "loss/crossentropy": 2.335329443216324, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.21264615282416344, + "step": 527 + }, + { + "epoch": 0.088, + "grad_norm": 31.875, + "grad_norm_var": 1.7384765625, + "learning_rate": 9.810852285030593e-05, + "loss": 7.2408, + "loss/crossentropy": 1.8945126831531525, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18671311624348164, + "step": 528 + }, + { + "epoch": 0.08816666666666667, + "grad_norm": 34.0, + "grad_norm_var": 1.5393229166666667, + "learning_rate": 9.81013835793043e-05, + "loss": 7.327, + "loss/crossentropy": 1.7044986188411713, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1740158013999462, + "step": 529 + }, + { + "epoch": 0.08833333333333333, + "grad_norm": 37.0, + "grad_norm_var": 2.258072916666667, + "learning_rate": 9.809423112103554e-05, + "loss": 7.3285, + "loss/crossentropy": 1.4971919655799866, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17978889867663383, + "step": 530 + }, + { + "epoch": 0.0885, + "grad_norm": 33.5, + "grad_norm_var": 2.11875, + "learning_rate": 9.808706547746057e-05, + "loss": 7.5005, + "loss/crossentropy": 2.047203630208969, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.18218868225812912, + "step": 531 + }, + { + "epoch": 0.08866666666666667, + "grad_norm": 32.0, + "grad_norm_var": 2.309375, + "learning_rate": 9.807988665054386e-05, + "loss": 7.1867, + "loss/crossentropy": 1.9481738805770874, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.18189242109656334, + "step": 532 + }, + { + "epoch": 0.08883333333333333, + "grad_norm": 30.75, + "grad_norm_var": 2.2979166666666666, + "learning_rate": 9.807269464225355e-05, + "loss": 7.4141, + "loss/crossentropy": 2.143236815929413, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.1998455822467804, + "step": 533 + }, + { + "epoch": 0.089, + "grad_norm": 29.75, + "grad_norm_var": 3.0854166666666667, + "learning_rate": 9.806548945456134e-05, + "loss": 7.3471, + "loss/crossentropy": 1.6931321620941162, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.16084032505750656, + "step": 534 + }, + { + "epoch": 0.08916666666666667, + "grad_norm": 29.5, + "grad_norm_var": 3.7926432291666665, + "learning_rate": 9.80582710894426e-05, + "loss": 7.5005, + "loss/crossentropy": 2.3337481021881104, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.1558638084679842, + "step": 535 + }, + { + "epoch": 0.08933333333333333, + "grad_norm": 36.5, + "grad_norm_var": 4.486393229166667, + "learning_rate": 9.805103954887627e-05, + "loss": 7.4294, + "loss/crossentropy": 1.9169566333293915, + "loss/hidden": 3.77734375, + "loss/jsd": 0.0, + "loss/logits": 0.2434011958539486, + "step": 536 + }, + { + "epoch": 0.0895, + "grad_norm": 40.0, + "grad_norm_var": 7.379622395833334, + "learning_rate": 9.804379483484494e-05, + "loss": 7.6072, + "loss/crossentropy": 1.5788866728544235, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.1909298300743103, + "step": 537 + }, + { + "epoch": 0.08966666666666667, + "grad_norm": 31.75, + "grad_norm_var": 7.556705729166667, + "learning_rate": 9.803653694933476e-05, + "loss": 7.3319, + "loss/crossentropy": 1.990968108177185, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18440885841846466, + "step": 538 + }, + { + "epoch": 0.08983333333333333, + "grad_norm": 31.125, + "grad_norm_var": 7.767708333333333, + "learning_rate": 9.802926589433553e-05, + "loss": 7.4037, + "loss/crossentropy": 2.2752568125724792, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.1688903495669365, + "step": 539 + }, + { + "epoch": 0.09, + "grad_norm": 30.125, + "grad_norm_var": 8.237434895833333, + "learning_rate": 9.802198167184067e-05, + "loss": 7.0915, + "loss/crossentropy": 1.9928709864616394, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1749878227710724, + "step": 540 + }, + { + "epoch": 0.09016666666666667, + "grad_norm": 34.0, + "grad_norm_var": 8.237434895833333, + "learning_rate": 9.801468428384716e-05, + "loss": 7.3821, + "loss/crossentropy": 1.349032387137413, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.26186642050743103, + "step": 541 + }, + { + "epoch": 0.09033333333333333, + "grad_norm": 35.0, + "grad_norm_var": 8.4744140625, + "learning_rate": 9.800737373235565e-05, + "loss": 7.3504, + "loss/crossentropy": 2.0728733241558075, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.17149914801120758, + "step": 542 + }, + { + "epoch": 0.0905, + "grad_norm": 37.25, + "grad_norm_var": 9.5134765625, + "learning_rate": 9.800005001937034e-05, + "loss": 7.2083, + "loss/crossentropy": 2.1556628346443176, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.21120557934045792, + "step": 543 + }, + { + "epoch": 0.09066666666666667, + "grad_norm": 29.875, + "grad_norm_var": 10.165559895833333, + "learning_rate": 9.799271314689908e-05, + "loss": 7.3664, + "loss/crossentropy": 1.8796964585781097, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.22796564176678658, + "step": 544 + }, + { + "epoch": 0.09083333333333334, + "grad_norm": 32.25, + "grad_norm_var": 10.1837890625, + "learning_rate": 9.798536311695334e-05, + "loss": 7.2641, + "loss/crossentropy": 1.7632421851158142, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16169985756278038, + "step": 545 + }, + { + "epoch": 0.091, + "grad_norm": 31.125, + "grad_norm_var": 9.323958333333334, + "learning_rate": 9.797799993154814e-05, + "loss": 7.3923, + "loss/crossentropy": 1.725706309080124, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16693437471985817, + "step": 546 + }, + { + "epoch": 0.09116666666666666, + "grad_norm": 31.5, + "grad_norm_var": 9.382291666666667, + "learning_rate": 9.797062359270215e-05, + "loss": 7.8711, + "loss/crossentropy": 2.060252219438553, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.21199437975883484, + "step": 547 + }, + { + "epoch": 0.09133333333333334, + "grad_norm": 34.75, + "grad_norm_var": 9.614322916666667, + "learning_rate": 9.796323410243763e-05, + "loss": 7.2769, + "loss/crossentropy": 2.35904923081398, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.21982023119926453, + "step": 548 + }, + { + "epoch": 0.0915, + "grad_norm": 33.75, + "grad_norm_var": 9.345572916666667, + "learning_rate": 9.795583146278046e-05, + "loss": 7.2131, + "loss/crossentropy": 2.113744080066681, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.17868803814053535, + "step": 549 + }, + { + "epoch": 0.09166666666666666, + "grad_norm": 34.25, + "grad_norm_var": 8.651822916666667, + "learning_rate": 9.794841567576011e-05, + "loss": 7.2687, + "loss/crossentropy": 2.0138320922851562, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.19911404326558113, + "step": 550 + }, + { + "epoch": 0.09183333333333334, + "grad_norm": 33.75, + "grad_norm_var": 7.629166666666666, + "learning_rate": 9.794098674340965e-05, + "loss": 7.2922, + "loss/crossentropy": 1.5388011932373047, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.18451552465558052, + "step": 551 + }, + { + "epoch": 0.092, + "grad_norm": 32.25, + "grad_norm_var": 7.093489583333334, + "learning_rate": 9.793354466776579e-05, + "loss": 7.4383, + "loss/crossentropy": 1.9522328674793243, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.1844920516014099, + "step": 552 + }, + { + "epoch": 0.09216666666666666, + "grad_norm": 33.75, + "grad_norm_var": 3.948958333333333, + "learning_rate": 9.79260894508688e-05, + "loss": 7.1703, + "loss/crossentropy": 1.3523796498775482, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.17598746716976166, + "step": 553 + }, + { + "epoch": 0.09233333333333334, + "grad_norm": 36.0, + "grad_norm_var": 4.42265625, + "learning_rate": 9.791862109476257e-05, + "loss": 7.5446, + "loss/crossentropy": 1.8268292248249054, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.19541719183325768, + "step": 554 + }, + { + "epoch": 0.0925, + "grad_norm": 32.75, + "grad_norm_var": 4.144205729166667, + "learning_rate": 9.791113960149458e-05, + "loss": 7.4347, + "loss/crossentropy": 2.058392435312271, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.17756398767232895, + "step": 555 + }, + { + "epoch": 0.09266666666666666, + "grad_norm": 31.375, + "grad_norm_var": 3.7171223958333335, + "learning_rate": 9.790364497311597e-05, + "loss": 7.3495, + "loss/crossentropy": 1.9875744879245758, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.18157724291086197, + "step": 556 + }, + { + "epoch": 0.09283333333333334, + "grad_norm": 31.5, + "grad_norm_var": 3.8916015625, + "learning_rate": 9.789613721168139e-05, + "loss": 7.4422, + "loss/crossentropy": 2.0252414643764496, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1976994201540947, + "step": 557 + }, + { + "epoch": 0.093, + "grad_norm": 34.0, + "grad_norm_var": 3.7134765625, + "learning_rate": 9.788861631924913e-05, + "loss": 7.4124, + "loss/crossentropy": 1.737688809633255, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.19330373406410217, + "step": 558 + }, + { + "epoch": 0.09316666666666666, + "grad_norm": 32.5, + "grad_norm_var": 2.5160807291666667, + "learning_rate": 9.788108229788111e-05, + "loss": 7.378, + "loss/crossentropy": 2.3494531214237213, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.17403588816523552, + "step": 559 + }, + { + "epoch": 0.09333333333333334, + "grad_norm": 37.5, + "grad_norm_var": 3.1395833333333334, + "learning_rate": 9.787353514964284e-05, + "loss": 7.3312, + "loss/crossentropy": 2.2165339291095734, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1995975784957409, + "step": 560 + }, + { + "epoch": 0.0935, + "grad_norm": 32.5, + "grad_norm_var": 3.1080729166666665, + "learning_rate": 9.786597487660337e-05, + "loss": 7.2734, + "loss/crossentropy": 2.126331925392151, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.2150227539241314, + "step": 561 + }, + { + "epoch": 0.09366666666666666, + "grad_norm": 32.5, + "grad_norm_var": 2.8223307291666666, + "learning_rate": 9.785840148083543e-05, + "loss": 7.3413, + "loss/crossentropy": 2.0839502215385437, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1780762765556574, + "step": 562 + }, + { + "epoch": 0.09383333333333334, + "grad_norm": 34.5, + "grad_norm_var": 2.6192057291666666, + "learning_rate": 9.785081496441527e-05, + "loss": 7.5268, + "loss/crossentropy": 2.3646166920661926, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.17533158883452415, + "step": 563 + }, + { + "epoch": 0.094, + "grad_norm": 29.625, + "grad_norm_var": 3.4760416666666667, + "learning_rate": 9.784321532942282e-05, + "loss": 7.1331, + "loss/crossentropy": 2.0853044986724854, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.18720799684524536, + "step": 564 + }, + { + "epoch": 0.09416666666666666, + "grad_norm": 32.25, + "grad_norm_var": 3.5229166666666667, + "learning_rate": 9.783560257794154e-05, + "loss": 7.2869, + "loss/crossentropy": 2.1955504715442657, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.19676203280687332, + "step": 565 + }, + { + "epoch": 0.09433333333333334, + "grad_norm": 35.25, + "grad_norm_var": 3.7270833333333333, + "learning_rate": 9.78279767120585e-05, + "loss": 7.2674, + "loss/crossentropy": 1.9641484469175339, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.17377197369933128, + "step": 566 + }, + { + "epoch": 0.0945, + "grad_norm": 32.25, + "grad_norm_var": 3.767708333333333, + "learning_rate": 9.782033773386439e-05, + "loss": 7.3658, + "loss/crossentropy": 2.190814882516861, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.21332580596208572, + "step": 567 + }, + { + "epoch": 0.09466666666666666, + "grad_norm": 29.875, + "grad_norm_var": 4.4072265625, + "learning_rate": 9.781268564545348e-05, + "loss": 7.2034, + "loss/crossentropy": 1.9772469699382782, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.18993888422846794, + "step": 568 + }, + { + "epoch": 0.09483333333333334, + "grad_norm": 33.5, + "grad_norm_var": 4.386393229166667, + "learning_rate": 9.780502044892362e-05, + "loss": 7.0386, + "loss/crossentropy": 1.7807036340236664, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.17942193523049355, + "step": 569 + }, + { + "epoch": 0.095, + "grad_norm": 36.5, + "grad_norm_var": 4.6025390625, + "learning_rate": 9.779734214637628e-05, + "loss": 7.4366, + "loss/crossentropy": 1.63731350004673, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.18429255858063698, + "step": 570 + }, + { + "epoch": 0.09516666666666666, + "grad_norm": 30.875, + "grad_norm_var": 4.890625, + "learning_rate": 9.778965073991651e-05, + "loss": 7.2578, + "loss/crossentropy": 1.4358558505773544, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.1632411926984787, + "step": 571 + }, + { + "epoch": 0.09533333333333334, + "grad_norm": 30.375, + "grad_norm_var": 5.157291666666667, + "learning_rate": 9.778194623165296e-05, + "loss": 7.2741, + "loss/crossentropy": 1.9152775704860687, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.2016092799603939, + "step": 572 + }, + { + "epoch": 0.0955, + "grad_norm": 31.5, + "grad_norm_var": 5.157291666666667, + "learning_rate": 9.777422862369783e-05, + "loss": 7.4085, + "loss/crossentropy": 2.0969631373882294, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.18521985039114952, + "step": 573 + }, + { + "epoch": 0.09566666666666666, + "grad_norm": 34.5, + "grad_norm_var": 5.25, + "learning_rate": 9.776649791816698e-05, + "loss": 7.4702, + "loss/crossentropy": 2.282189190387726, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.18798528239130974, + "step": 574 + }, + { + "epoch": 0.09583333333333334, + "grad_norm": 37.5, + "grad_norm_var": 6.5625, + "learning_rate": 9.77587541171798e-05, + "loss": 7.1049, + "loss/crossentropy": 1.7100197970867157, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.17929638177156448, + "step": 575 + }, + { + "epoch": 0.096, + "grad_norm": 36.0, + "grad_norm_var": 5.840625, + "learning_rate": 9.775099722285935e-05, + "loss": 7.3286, + "loss/crossentropy": 2.1536933183670044, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1613265983760357, + "step": 576 + }, + { + "epoch": 0.09616666666666666, + "grad_norm": 32.5, + "grad_norm_var": 5.840625, + "learning_rate": 9.774322723733216e-05, + "loss": 7.5203, + "loss/crossentropy": 1.5367402732372284, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.1888187788426876, + "step": 577 + }, + { + "epoch": 0.09633333333333334, + "grad_norm": 31.5, + "grad_norm_var": 5.982291666666667, + "learning_rate": 9.773544416272845e-05, + "loss": 7.3827, + "loss/crossentropy": 2.4369155168533325, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.20236976817250252, + "step": 578 + }, + { + "epoch": 0.0965, + "grad_norm": 33.0, + "grad_norm_var": 5.829166666666667, + "learning_rate": 9.772764800118199e-05, + "loss": 7.4226, + "loss/crossentropy": 2.500710666179657, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1806088238954544, + "step": 579 + }, + { + "epoch": 0.09666666666666666, + "grad_norm": 35.25, + "grad_norm_var": 5.322330729166667, + "learning_rate": 9.771983875483013e-05, + "loss": 7.3541, + "loss/crossentropy": 1.5330149829387665, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.23990492895245552, + "step": 580 + }, + { + "epoch": 0.09683333333333333, + "grad_norm": 31.125, + "grad_norm_var": 5.557291666666667, + "learning_rate": 9.771201642581385e-05, + "loss": 7.2871, + "loss/crossentropy": 2.1098267138004303, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.18698688223958015, + "step": 581 + }, + { + "epoch": 0.097, + "grad_norm": 30.625, + "grad_norm_var": 5.6416015625, + "learning_rate": 9.770418101627765e-05, + "loss": 7.1604, + "loss/crossentropy": 1.893375426530838, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1971338987350464, + "step": 582 + }, + { + "epoch": 0.09716666666666667, + "grad_norm": 33.25, + "grad_norm_var": 5.6134765625, + "learning_rate": 9.769633252836969e-05, + "loss": 7.5679, + "loss/crossentropy": 1.917736440896988, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.20975341275334358, + "step": 583 + }, + { + "epoch": 0.09733333333333333, + "grad_norm": 31.25, + "grad_norm_var": 5.16015625, + "learning_rate": 9.768847096424164e-05, + "loss": 7.4809, + "loss/crossentropy": 2.0464819073677063, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1731277070939541, + "step": 584 + }, + { + "epoch": 0.0975, + "grad_norm": 32.5, + "grad_norm_var": 5.16640625, + "learning_rate": 9.76805963260488e-05, + "loss": 7.2994, + "loss/crossentropy": 2.2766425013542175, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.20238212123513222, + "step": 585 + }, + { + "epoch": 0.09766666666666667, + "grad_norm": 33.25, + "grad_norm_var": 4.316666666666666, + "learning_rate": 9.767270861595005e-05, + "loss": 7.4116, + "loss/crossentropy": 1.4148157089948654, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.1840950809419155, + "step": 586 + }, + { + "epoch": 0.09783333333333333, + "grad_norm": 31.25, + "grad_norm_var": 4.228580729166667, + "learning_rate": 9.766480783610788e-05, + "loss": 7.4112, + "loss/crossentropy": 1.929806500673294, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.22025159001350403, + "step": 587 + }, + { + "epoch": 0.098, + "grad_norm": 35.75, + "grad_norm_var": 4.270572916666667, + "learning_rate": 9.765689398868831e-05, + "loss": 7.3646, + "loss/crossentropy": 1.3431737124919891, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.1964380256831646, + "step": 588 + }, + { + "epoch": 0.09816666666666667, + "grad_norm": 35.0, + "grad_norm_var": 4.255989583333333, + "learning_rate": 9.764896707586096e-05, + "loss": 7.6459, + "loss/crossentropy": 2.5541348457336426, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.2149493768811226, + "step": 589 + }, + { + "epoch": 0.09833333333333333, + "grad_norm": 31.875, + "grad_norm_var": 4.298372395833334, + "learning_rate": 9.764102709979902e-05, + "loss": 7.4885, + "loss/crossentropy": 1.5293695777654648, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.20554304495453835, + "step": 590 + }, + { + "epoch": 0.0985, + "grad_norm": 1904214016.0, + "grad_norm_var": 2.2662693082968016e+17, + "learning_rate": 9.763307406267932e-05, + "loss": 7.5986, + "loss/crossentropy": 1.9793291985988617, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.24488302320241928, + "step": 591 + }, + { + "epoch": 0.09866666666666667, + "grad_norm": 41.0, + "grad_norm_var": 2.2662693075033792e+17, + "learning_rate": 9.76251079666822e-05, + "loss": 7.4414, + "loss/crossentropy": 1.9010595381259918, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.19852081686258316, + "step": 592 + }, + { + "epoch": 0.09883333333333333, + "grad_norm": 37.0, + "grad_norm_var": 2.266269306789299e+17, + "learning_rate": 9.761712881399164e-05, + "loss": 7.1544, + "loss/crossentropy": 1.7115428000688553, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.2066071517765522, + "step": 593 + }, + { + "epoch": 0.099, + "grad_norm": 29.75, + "grad_norm_var": 2.2662693070669968e+17, + "learning_rate": 9.760913660679515e-05, + "loss": 7.1712, + "loss/crossentropy": 2.307830184698105, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.17552950605750084, + "step": 594 + }, + { + "epoch": 0.09916666666666667, + "grad_norm": 29.75, + "grad_norm_var": 2.2662693075827216e+17, + "learning_rate": 9.760113134728384e-05, + "loss": 7.1973, + "loss/crossentropy": 2.09252592921257, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.19455183297395706, + "step": 595 + }, + { + "epoch": 0.09933333333333333, + "grad_norm": 30.0, + "grad_norm_var": 2.266269308415815e+17, + "learning_rate": 9.75931130376524e-05, + "loss": 7.2217, + "loss/crossentropy": 2.44236558675766, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.17834673076868057, + "step": 596 + }, + { + "epoch": 0.0995, + "grad_norm": 35.75, + "grad_norm_var": 2.2662693076818992e+17, + "learning_rate": 9.75850816800991e-05, + "loss": 7.5668, + "loss/crossentropy": 2.2520895898342133, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.22190653532743454, + "step": 597 + }, + { + "epoch": 0.09966666666666667, + "grad_norm": 33.25, + "grad_norm_var": 2.2662693072653523e+17, + "learning_rate": 9.757703727682574e-05, + "loss": 7.2988, + "loss/crossentropy": 1.8116507530212402, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.2566680610179901, + "step": 598 + }, + { + "epoch": 0.09983333333333333, + "grad_norm": 34.5, + "grad_norm_var": 2.2662693070669968e+17, + "learning_rate": 9.756897983003781e-05, + "loss": 7.1157, + "loss/crossentropy": 1.840036928653717, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1869695521891117, + "step": 599 + }, + { + "epoch": 0.1, + "grad_norm": 34.5, + "grad_norm_var": 2.2662693065512723e+17, + "learning_rate": 9.756090934194427e-05, + "loss": 7.3596, + "loss/crossentropy": 2.069575548171997, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18857147172093391, + "step": 600 + }, + { + "epoch": 0.10016666666666667, + "grad_norm": 31.0, + "grad_norm_var": 2.266269306789299e+17, + "learning_rate": 9.755282581475769e-05, + "loss": 7.0587, + "loss/crossentropy": 1.478778824210167, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17617631517350674, + "step": 601 + }, + { + "epoch": 0.10033333333333333, + "grad_norm": 30.625, + "grad_norm_var": 2.2662693072058458e+17, + "learning_rate": 9.75447292506942e-05, + "loss": 7.3075, + "loss/crossentropy": 2.0797568261623383, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.27910368144512177, + "step": 602 + }, + { + "epoch": 0.1005, + "grad_norm": 32.5, + "grad_norm_var": 2.2662693070074902e+17, + "learning_rate": 9.753661965197354e-05, + "loss": 7.3651, + "loss/crossentropy": 2.084309071302414, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.2038382701575756, + "step": 603 + }, + { + "epoch": 0.10066666666666667, + "grad_norm": 31.75, + "grad_norm_var": 2.2662693076422282e+17, + "learning_rate": 9.752849702081901e-05, + "loss": 7.4663, + "loss/crossentropy": 2.4660587310791016, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.2053012251853943, + "step": 604 + }, + { + "epoch": 0.10083333333333333, + "grad_norm": 29.375, + "grad_norm_var": 2.2662693085348285e+17, + "learning_rate": 9.752036135945744e-05, + "loss": 7.1663, + "loss/crossentropy": 2.302393853664398, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.17444464564323425, + "step": 605 + }, + { + "epoch": 0.101, + "grad_norm": 32.0, + "grad_norm_var": 2.266269308514993e+17, + "learning_rate": 9.751221267011929e-05, + "loss": 7.2215, + "loss/crossentropy": 1.6606972068548203, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.17002883926033974, + "step": 606 + }, + { + "epoch": 0.10116666666666667, + "grad_norm": 33.75, + "grad_norm_var": 9.884375, + "learning_rate": 9.750405095503859e-05, + "loss": 7.4077, + "loss/crossentropy": 1.8132504224777222, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.1946292594075203, + "step": 607 + }, + { + "epoch": 0.10133333333333333, + "grad_norm": 35.0, + "grad_norm_var": 5.659375, + "learning_rate": 9.749587621645288e-05, + "loss": 7.2269, + "loss/crossentropy": 2.005624294281006, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17027952894568443, + "step": 608 + }, + { + "epoch": 0.1015, + "grad_norm": 30.25, + "grad_norm_var": 4.48515625, + "learning_rate": 9.748768845660334e-05, + "loss": 7.3604, + "loss/crossentropy": 1.998530238866806, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.19627553597092628, + "step": 609 + }, + { + "epoch": 0.10166666666666667, + "grad_norm": 35.25, + "grad_norm_var": 4.645572916666667, + "learning_rate": 9.74794876777347e-05, + "loss": 7.331, + "loss/crossentropy": 1.8363763093948364, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.19507349282503128, + "step": 610 + }, + { + "epoch": 0.10183333333333333, + "grad_norm": 30.625, + "grad_norm_var": 4.378059895833333, + "learning_rate": 9.74712738820952e-05, + "loss": 7.2472, + "loss/crossentropy": 1.8793150782585144, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16764680296182632, + "step": 611 + }, + { + "epoch": 0.102, + "grad_norm": 32.75, + "grad_norm_var": 3.9311848958333333, + "learning_rate": 9.746304707193675e-05, + "loss": 7.4801, + "loss/crossentropy": 1.9134803712368011, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.2131960727274418, + "step": 612 + }, + { + "epoch": 0.10216666666666667, + "grad_norm": 30.875, + "grad_norm_var": 3.4208333333333334, + "learning_rate": 9.745480724951473e-05, + "loss": 7.2178, + "loss/crossentropy": 2.210248053073883, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1874031201004982, + "step": 613 + }, + { + "epoch": 0.10233333333333333, + "grad_norm": 33.0, + "grad_norm_var": 3.3955729166666666, + "learning_rate": 9.744655441708818e-05, + "loss": 7.1421, + "loss/crossentropy": 1.9995661079883575, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.16971386969089508, + "step": 614 + }, + { + "epoch": 0.1025, + "grad_norm": 36.25, + "grad_norm_var": 4.086458333333334, + "learning_rate": 9.743828857691963e-05, + "loss": 7.2352, + "loss/crossentropy": 2.1933152973651886, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.21801244840025902, + "step": 615 + }, + { + "epoch": 0.10266666666666667, + "grad_norm": 34.75, + "grad_norm_var": 4.158072916666667, + "learning_rate": 9.743000973127523e-05, + "loss": 7.3893, + "loss/crossentropy": 1.9973363876342773, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17263447493314743, + "step": 616 + }, + { + "epoch": 0.10283333333333333, + "grad_norm": 31.25, + "grad_norm_var": 4.1125, + "learning_rate": 9.742171788242466e-05, + "loss": 7.2193, + "loss/crossentropy": 1.671396553516388, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16563132032752037, + "step": 617 + }, + { + "epoch": 0.103, + "grad_norm": 31.625, + "grad_norm_var": 3.925, + "learning_rate": 9.741341303264118e-05, + "loss": 7.3605, + "loss/crossentropy": 1.9448569267988205, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.17194196209311485, + "step": 618 + }, + { + "epoch": 0.10316666666666667, + "grad_norm": 30.375, + "grad_norm_var": 4.224934895833333, + "learning_rate": 9.74050951842016e-05, + "loss": 7.3728, + "loss/crossentropy": 2.0389251559972763, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.20530594512820244, + "step": 619 + }, + { + "epoch": 0.10333333333333333, + "grad_norm": 29.625, + "grad_norm_var": 4.699739583333334, + "learning_rate": 9.739676433938633e-05, + "loss": 7.4521, + "loss/crossentropy": 1.8410753458738327, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.2363889515399933, + "step": 620 + }, + { + "epoch": 0.1035, + "grad_norm": 29.75, + "grad_norm_var": 4.562434895833333, + "learning_rate": 9.73884205004793e-05, + "loss": 7.2949, + "loss/crossentropy": 1.9485596120357513, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.2630031704902649, + "step": 621 + }, + { + "epoch": 0.10366666666666667, + "grad_norm": 37.0, + "grad_norm_var": 5.911393229166666, + "learning_rate": 9.7380063669768e-05, + "loss": 7.3083, + "loss/crossentropy": 2.08263298869133, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.15711040794849396, + "step": 622 + }, + { + "epoch": 0.10383333333333333, + "grad_norm": 34.25, + "grad_norm_var": 6.001497395833334, + "learning_rate": 9.737169384954355e-05, + "loss": 7.4823, + "loss/crossentropy": 1.850400984287262, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.2069677822291851, + "step": 623 + }, + { + "epoch": 0.104, + "grad_norm": 33.0, + "grad_norm_var": 5.628580729166667, + "learning_rate": 9.736331104210056e-05, + "loss": 7.183, + "loss/crossentropy": 2.005878895521164, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.18370692059397697, + "step": 624 + }, + { + "epoch": 0.10416666666666667, + "grad_norm": 31.875, + "grad_norm_var": 5.29765625, + "learning_rate": 9.735491524973722e-05, + "loss": 7.3535, + "loss/crossentropy": 2.2689976394176483, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1807100549340248, + "step": 625 + }, + { + "epoch": 0.10433333333333333, + "grad_norm": 37.75, + "grad_norm_var": 6.558072916666666, + "learning_rate": 9.73465064747553e-05, + "loss": 7.2869, + "loss/crossentropy": 1.604978010058403, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.16992727294564247, + "step": 626 + }, + { + "epoch": 0.1045, + "grad_norm": 44.25, + "grad_norm_var": 14.2150390625, + "learning_rate": 9.73380847194601e-05, + "loss": 7.4146, + "loss/crossentropy": 1.9762012362480164, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1730644293129444, + "step": 627 + }, + { + "epoch": 0.10466666666666667, + "grad_norm": 37.5, + "grad_norm_var": 15.056184895833333, + "learning_rate": 9.732964998616046e-05, + "loss": 7.2546, + "loss/crossentropy": 1.5720670521259308, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.19047683849930763, + "step": 628 + }, + { + "epoch": 0.10483333333333333, + "grad_norm": 29.625, + "grad_norm_var": 15.665559895833333, + "learning_rate": 9.732120227716888e-05, + "loss": 7.7217, + "loss/crossentropy": 2.6308372616767883, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.18224241584539413, + "step": 629 + }, + { + "epoch": 0.105, + "grad_norm": 31.125, + "grad_norm_var": 16.102083333333333, + "learning_rate": 9.73127415948013e-05, + "loss": 7.2075, + "loss/crossentropy": 2.029748886823654, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.19252733886241913, + "step": 630 + }, + { + "epoch": 0.10516666666666667, + "grad_norm": 30.75, + "grad_norm_var": 16.159375, + "learning_rate": 9.730426794137727e-05, + "loss": 7.2245, + "loss/crossentropy": 2.165195047855377, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17404165491461754, + "step": 631 + }, + { + "epoch": 0.10533333333333333, + "grad_norm": 31.375, + "grad_norm_var": 16.2666015625, + "learning_rate": 9.72957813192199e-05, + "loss": 7.0976, + "loss/crossentropy": 2.231869101524353, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.159787118434906, + "step": 632 + }, + { + "epoch": 0.1055, + "grad_norm": 31.25, + "grad_norm_var": 16.2666015625, + "learning_rate": 9.728728173065585e-05, + "loss": 7.1263, + "loss/crossentropy": 1.78048437833786, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.1777312085032463, + "step": 633 + }, + { + "epoch": 0.10566666666666667, + "grad_norm": 36.0, + "grad_norm_var": 16.546875, + "learning_rate": 9.72787691780153e-05, + "loss": 7.5738, + "loss/crossentropy": 2.1110564172267914, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.2632845491170883, + "step": 634 + }, + { + "epoch": 0.10583333333333333, + "grad_norm": 32.25, + "grad_norm_var": 15.9931640625, + "learning_rate": 9.727024366363206e-05, + "loss": 7.3205, + "loss/crossentropy": 1.8406849801540375, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.2111925520002842, + "step": 635 + }, + { + "epoch": 0.106, + "grad_norm": 30.75, + "grad_norm_var": 15.478125, + "learning_rate": 9.726170518984341e-05, + "loss": 7.315, + "loss/crossentropy": 2.237843692302704, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.18497232720255852, + "step": 636 + }, + { + "epoch": 0.10616666666666667, + "grad_norm": 30.125, + "grad_norm_var": 15.2916015625, + "learning_rate": 9.725315375899024e-05, + "loss": 7.4921, + "loss/crossentropy": 2.02110955119133, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.20984560251235962, + "step": 637 + }, + { + "epoch": 0.10633333333333334, + "grad_norm": 29.625, + "grad_norm_var": 15.426041666666666, + "learning_rate": 9.724458937341698e-05, + "loss": 7.1764, + "loss/crossentropy": 2.0535950362682343, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.19004171341657639, + "step": 638 + }, + { + "epoch": 0.1065, + "grad_norm": 35.75, + "grad_norm_var": 15.772916666666667, + "learning_rate": 9.723601203547158e-05, + "loss": 7.0975, + "loss/crossentropy": 2.0000297725200653, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1943572536110878, + "step": 639 + }, + { + "epoch": 0.10666666666666667, + "grad_norm": 52.5, + "grad_norm_var": 38.72604166666667, + "learning_rate": 9.722742174750558e-05, + "loss": 7.1918, + "loss/crossentropy": 1.8211422562599182, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.17954260483384132, + "step": 640 + }, + { + "epoch": 0.10683333333333334, + "grad_norm": 38.0, + "grad_norm_var": 38.90149739583333, + "learning_rate": 9.721881851187406e-05, + "loss": 7.2372, + "loss/crossentropy": 1.7122246026992798, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2225099690258503, + "step": 641 + }, + { + "epoch": 0.107, + "grad_norm": 34.0, + "grad_norm_var": 38.36243489583333, + "learning_rate": 9.721020233093563e-05, + "loss": 7.3873, + "loss/crossentropy": 2.2953185439109802, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.21673983708024025, + "step": 642 + }, + { + "epoch": 0.10716666666666666, + "grad_norm": 33.0, + "grad_norm_var": 31.917122395833335, + "learning_rate": 9.72015732070525e-05, + "loss": 7.276, + "loss/crossentropy": 1.8881819546222687, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18341781198978424, + "step": 643 + }, + { + "epoch": 0.10733333333333334, + "grad_norm": 37.0, + "grad_norm_var": 31.6978515625, + "learning_rate": 9.719293114259033e-05, + "loss": 7.1846, + "loss/crossentropy": 1.9236509799957275, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14150086417794228, + "step": 644 + }, + { + "epoch": 0.1075, + "grad_norm": 32.25, + "grad_norm_var": 30.61640625, + "learning_rate": 9.718427613991848e-05, + "loss": 7.3035, + "loss/crossentropy": 2.1269415616989136, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.18655722215771675, + "step": 645 + }, + { + "epoch": 0.10766666666666666, + "grad_norm": 31.375, + "grad_norm_var": 30.520833333333332, + "learning_rate": 9.717560820140969e-05, + "loss": 7.3986, + "loss/crossentropy": 2.3212895691394806, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.17602985352277756, + "step": 646 + }, + { + "epoch": 0.10783333333333334, + "grad_norm": 29.5, + "grad_norm_var": 31.180989583333332, + "learning_rate": 9.716692732944035e-05, + "loss": 7.254, + "loss/crossentropy": 2.286354273557663, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.17863034084439278, + "step": 647 + }, + { + "epoch": 0.108, + "grad_norm": 31.125, + "grad_norm_var": 31.273958333333333, + "learning_rate": 9.715823352639037e-05, + "loss": 7.1363, + "loss/crossentropy": 2.284827947616577, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.16959453374147415, + "step": 648 + }, + { + "epoch": 0.10816666666666666, + "grad_norm": 34.75, + "grad_norm_var": 30.741666666666667, + "learning_rate": 9.714952679464323e-05, + "loss": 7.4843, + "loss/crossentropy": 2.267686277627945, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19646358862519264, + "step": 649 + }, + { + "epoch": 0.10833333333333334, + "grad_norm": 29.875, + "grad_norm_var": 31.6572265625, + "learning_rate": 9.71408071365859e-05, + "loss": 7.2573, + "loss/crossentropy": 1.6790443360805511, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.14582885429263115, + "step": 650 + }, + { + "epoch": 0.1085, + "grad_norm": 33.75, + "grad_norm_var": 31.4744140625, + "learning_rate": 9.713207455460894e-05, + "loss": 7.2008, + "loss/crossentropy": 1.847610518336296, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.20972991362214088, + "step": 651 + }, + { + "epoch": 0.10866666666666666, + "grad_norm": 32.25, + "grad_norm_var": 30.9728515625, + "learning_rate": 9.71233290511064e-05, + "loss": 7.3211, + "loss/crossentropy": 1.8943575620651245, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.22945917397737503, + "step": 652 + }, + { + "epoch": 0.10883333333333334, + "grad_norm": 34.5, + "grad_norm_var": 29.876822916666665, + "learning_rate": 9.711457062847595e-05, + "loss": 7.396, + "loss/crossentropy": 2.315647840499878, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.19224681705236435, + "step": 653 + }, + { + "epoch": 0.109, + "grad_norm": 35.25, + "grad_norm_var": 28.327018229166665, + "learning_rate": 9.710579928911876e-05, + "loss": 7.4095, + "loss/crossentropy": 2.0344275534152985, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.22277657315135002, + "step": 654 + }, + { + "epoch": 0.10916666666666666, + "grad_norm": 33.5, + "grad_norm_var": 28.322330729166666, + "learning_rate": 9.709701503543954e-05, + "loss": 7.3268, + "loss/crossentropy": 1.7724144458770752, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.25478213280439377, + "step": 655 + }, + { + "epoch": 0.10933333333333334, + "grad_norm": 33.25, + "grad_norm_var": 5.382747395833333, + "learning_rate": 9.708821786984652e-05, + "loss": 7.3553, + "loss/crossentropy": 1.7411191165447235, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.2752874232828617, + "step": 656 + }, + { + "epoch": 0.1095, + "grad_norm": 34.75, + "grad_norm_var": 4.021809895833333, + "learning_rate": 9.707940779475151e-05, + "loss": 7.2225, + "loss/crossentropy": 2.1497268676757812, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.19079606607556343, + "step": 657 + }, + { + "epoch": 0.10966666666666666, + "grad_norm": 32.75, + "grad_norm_var": 3.9749348958333335, + "learning_rate": 9.707058481256985e-05, + "loss": 7.3662, + "loss/crossentropy": 2.0671571493148804, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17754127457737923, + "step": 658 + }, + { + "epoch": 0.10983333333333334, + "grad_norm": 31.375, + "grad_norm_var": 4.151822916666666, + "learning_rate": 9.706174892572039e-05, + "loss": 7.1936, + "loss/crossentropy": 1.9862104654312134, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.21077127382159233, + "step": 659 + }, + { + "epoch": 0.11, + "grad_norm": 31.75, + "grad_norm_var": 3.0416666666666665, + "learning_rate": 9.705290013662556e-05, + "loss": 7.4406, + "loss/crossentropy": 1.9781703352928162, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.19248376414179802, + "step": 660 + }, + { + "epoch": 0.11016666666666666, + "grad_norm": 36.5, + "grad_norm_var": 3.9580729166666666, + "learning_rate": 9.704403844771128e-05, + "loss": 7.49, + "loss/crossentropy": 1.9751454293727875, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.2400129921734333, + "step": 661 + }, + { + "epoch": 0.11033333333333334, + "grad_norm": 31.875, + "grad_norm_var": 3.87265625, + "learning_rate": 9.703516386140705e-05, + "loss": 7.2844, + "loss/crossentropy": 1.5694085359573364, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.18795155733823776, + "step": 662 + }, + { + "epoch": 0.1105, + "grad_norm": 36.25, + "grad_norm_var": 3.640625, + "learning_rate": 9.70262763801459e-05, + "loss": 7.0861, + "loss/crossentropy": 1.470748633146286, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.17022135108709335, + "step": 663 + }, + { + "epoch": 0.11066666666666666, + "grad_norm": 29.75, + "grad_norm_var": 4.165559895833334, + "learning_rate": 9.701737600636436e-05, + "loss": 7.1957, + "loss/crossentropy": 2.195081427693367, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.18825620040297508, + "step": 664 + }, + { + "epoch": 0.11083333333333334, + "grad_norm": 34.0, + "grad_norm_var": 4.051497395833334, + "learning_rate": 9.700846274250251e-05, + "loss": 7.3358, + "loss/crossentropy": 1.578473910689354, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17406513914465904, + "step": 665 + }, + { + "epoch": 0.111, + "grad_norm": 33.0, + "grad_norm_var": 3.271875, + "learning_rate": 9.699953659100401e-05, + "loss": 7.3955, + "loss/crossentropy": 1.5875136256217957, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.2344185709953308, + "step": 666 + }, + { + "epoch": 0.11116666666666666, + "grad_norm": 32.5, + "grad_norm_var": 3.312239583333333, + "learning_rate": 9.699059755431598e-05, + "loss": 7.3451, + "loss/crossentropy": 2.2021476924419403, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.16028309613466263, + "step": 667 + }, + { + "epoch": 0.11133333333333334, + "grad_norm": 30.0, + "grad_norm_var": 3.9520833333333334, + "learning_rate": 9.698164563488914e-05, + "loss": 7.3484, + "loss/crossentropy": 2.122020661830902, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1891457512974739, + "step": 668 + }, + { + "epoch": 0.1115, + "grad_norm": 31.0, + "grad_norm_var": 4.105208333333334, + "learning_rate": 9.697268083517767e-05, + "loss": 7.1805, + "loss/crossentropy": 2.2841413617134094, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.18636149913072586, + "step": 669 + }, + { + "epoch": 0.11166666666666666, + "grad_norm": 36.0, + "grad_norm_var": 4.368489583333333, + "learning_rate": 9.696370315763936e-05, + "loss": 7.1746, + "loss/crossentropy": 1.792080044746399, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.19854754582047462, + "step": 670 + }, + { + "epoch": 0.11183333333333334, + "grad_norm": 32.5, + "grad_norm_var": 4.36640625, + "learning_rate": 9.695471260473545e-05, + "loss": 7.2425, + "loss/crossentropy": 1.911046177148819, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.19043425098061562, + "step": 671 + }, + { + "epoch": 0.112, + "grad_norm": 31.875, + "grad_norm_var": 4.430143229166666, + "learning_rate": 9.69457091789308e-05, + "loss": 6.9889, + "loss/crossentropy": 1.8222531825304031, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.1720294989645481, + "step": 672 + }, + { + "epoch": 0.11216666666666666, + "grad_norm": 33.5, + "grad_norm_var": 4.213997395833333, + "learning_rate": 9.693669288269372e-05, + "loss": 7.4069, + "loss/crossentropy": 2.1999444365501404, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1844763681292534, + "step": 673 + }, + { + "epoch": 0.11233333333333333, + "grad_norm": 31.125, + "grad_norm_var": 4.3875, + "learning_rate": 9.692766371849606e-05, + "loss": 7.1498, + "loss/crossentropy": 1.7127140760421753, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.19976293668150902, + "step": 674 + }, + { + "epoch": 0.1125, + "grad_norm": 30.75, + "grad_norm_var": 4.5212890625, + "learning_rate": 9.691862168881325e-05, + "loss": 7.0117, + "loss/crossentropy": 1.9354283511638641, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.20179572328925133, + "step": 675 + }, + { + "epoch": 0.11266666666666666, + "grad_norm": 32.25, + "grad_norm_var": 4.477018229166666, + "learning_rate": 9.690956679612421e-05, + "loss": 7.2363, + "loss/crossentropy": 2.0463519990444183, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.2051066905260086, + "step": 676 + }, + { + "epoch": 0.11283333333333333, + "grad_norm": 50.0, + "grad_norm_var": 22.744205729166666, + "learning_rate": 9.690049904291139e-05, + "loss": 7.4351, + "loss/crossentropy": 1.8881178200244904, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.204398512840271, + "step": 677 + }, + { + "epoch": 0.113, + "grad_norm": 37.5, + "grad_norm_var": 23.485416666666666, + "learning_rate": 9.689141843166074e-05, + "loss": 7.2911, + "loss/crossentropy": 2.4391735792160034, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.18365934491157532, + "step": 678 + }, + { + "epoch": 0.11316666666666667, + "grad_norm": 34.0, + "grad_norm_var": 23.089322916666667, + "learning_rate": 9.688232496486178e-05, + "loss": 7.1742, + "loss/crossentropy": 2.3844321966171265, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.2512863278388977, + "step": 679 + }, + { + "epoch": 0.11333333333333333, + "grad_norm": 32.0, + "grad_norm_var": 22.210416666666667, + "learning_rate": 9.687321864500755e-05, + "loss": 7.1451, + "loss/crossentropy": 1.5501232147216797, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.17280655726790428, + "step": 680 + }, + { + "epoch": 0.1135, + "grad_norm": 30.375, + "grad_norm_var": 22.9712890625, + "learning_rate": 9.686409947459458e-05, + "loss": 7.3644, + "loss/crossentropy": 1.7302386611700058, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.18569517135620117, + "step": 681 + }, + { + "epoch": 0.11366666666666667, + "grad_norm": 32.0, + "grad_norm_var": 23.120247395833335, + "learning_rate": 9.685496745612295e-05, + "loss": 7.1641, + "loss/crossentropy": 2.097352534532547, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1809883527457714, + "step": 682 + }, + { + "epoch": 0.11383333333333333, + "grad_norm": 31.625, + "grad_norm_var": 23.294791666666665, + "learning_rate": 9.684582259209624e-05, + "loss": 7.2062, + "loss/crossentropy": 1.916637271642685, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.20078307017683983, + "step": 683 + }, + { + "epoch": 0.114, + "grad_norm": 32.75, + "grad_norm_var": 22.47265625, + "learning_rate": 9.683666488502158e-05, + "loss": 7.2848, + "loss/crossentropy": 1.6298768222332, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.21732109412550926, + "step": 684 + }, + { + "epoch": 0.11416666666666667, + "grad_norm": 34.5, + "grad_norm_var": 21.976822916666666, + "learning_rate": 9.682749433740962e-05, + "loss": 7.4269, + "loss/crossentropy": 2.025507390499115, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.258936308324337, + "step": 685 + }, + { + "epoch": 0.11433333333333333, + "grad_norm": 38.0, + "grad_norm_var": 22.780989583333334, + "learning_rate": 9.68183109517745e-05, + "loss": 7.3737, + "loss/crossentropy": 1.5819874107837677, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.23186847567558289, + "step": 686 + }, + { + "epoch": 0.1145, + "grad_norm": 34.25, + "grad_norm_var": 22.611458333333335, + "learning_rate": 9.68091147306339e-05, + "loss": 7.0753, + "loss/crossentropy": 1.5637894421815872, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.17735859379172325, + "step": 687 + }, + { + "epoch": 0.11466666666666667, + "grad_norm": 33.0, + "grad_norm_var": 22.348372395833334, + "learning_rate": 9.6799905676509e-05, + "loss": 7.3931, + "loss/crossentropy": 2.0656840205192566, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.18083598092198372, + "step": 688 + }, + { + "epoch": 0.11483333333333333, + "grad_norm": 33.25, + "grad_norm_var": 22.376497395833333, + "learning_rate": 9.679068379192456e-05, + "loss": 7.3676, + "loss/crossentropy": 2.242631584405899, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1938803270459175, + "step": 689 + }, + { + "epoch": 0.115, + "grad_norm": 32.75, + "grad_norm_var": 21.872916666666665, + "learning_rate": 9.678144907940876e-05, + "loss": 7.2436, + "loss/crossentropy": 2.259352743625641, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.19465599209070206, + "step": 690 + }, + { + "epoch": 0.11516666666666667, + "grad_norm": 32.5, + "grad_norm_var": 21.233072916666668, + "learning_rate": 9.677220154149337e-05, + "loss": 7.2727, + "loss/crossentropy": 1.8682022988796234, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.19458742812275887, + "step": 691 + }, + { + "epoch": 0.11533333333333333, + "grad_norm": 30.625, + "grad_norm_var": 21.868684895833333, + "learning_rate": 9.676294118071367e-05, + "loss": 7.0673, + "loss/crossentropy": 2.093078315258026, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.17927749827504158, + "step": 692 + }, + { + "epoch": 0.1155, + "grad_norm": 31.375, + "grad_norm_var": 4.611458333333333, + "learning_rate": 9.675366799960841e-05, + "loss": 7.2623, + "loss/crossentropy": 1.6467059701681137, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.14942791871726513, + "step": 693 + }, + { + "epoch": 0.11566666666666667, + "grad_norm": 32.25, + "grad_norm_var": 3.2934895833333333, + "learning_rate": 9.674438200071991e-05, + "loss": 7.2217, + "loss/crossentropy": 2.0415206253528595, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1769421324133873, + "step": 694 + }, + { + "epoch": 0.11583333333333333, + "grad_norm": 31.625, + "grad_norm_var": 3.2749348958333333, + "learning_rate": 9.6735083186594e-05, + "loss": 7.2758, + "loss/crossentropy": 2.1222026348114014, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.19957909733057022, + "step": 695 + }, + { + "epoch": 0.116, + "grad_norm": 45.5, + "grad_norm_var": 13.442122395833334, + "learning_rate": 9.672577155977993e-05, + "loss": 7.4773, + "loss/crossentropy": 2.405282974243164, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.21936316788196564, + "step": 696 + }, + { + "epoch": 0.11616666666666667, + "grad_norm": 34.75, + "grad_norm_var": 12.801822916666667, + "learning_rate": 9.671644712283061e-05, + "loss": 7.1548, + "loss/crossentropy": 1.4405837059020996, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.16677791625261307, + "step": 697 + }, + { + "epoch": 0.11633333333333333, + "grad_norm": 37.25, + "grad_norm_var": 13.266666666666667, + "learning_rate": 9.670710987830233e-05, + "loss": 7.3013, + "loss/crossentropy": 1.5431812107563019, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.18322549387812614, + "step": 698 + }, + { + "epoch": 0.1165, + "grad_norm": 31.875, + "grad_norm_var": 13.187239583333334, + "learning_rate": 9.669775982875501e-05, + "loss": 7.1375, + "loss/crossentropy": 1.9528156220912933, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1746544986963272, + "step": 699 + }, + { + "epoch": 0.11666666666666667, + "grad_norm": 30.375, + "grad_norm_var": 13.980143229166666, + "learning_rate": 9.668839697675196e-05, + "loss": 7.2395, + "loss/crossentropy": 1.6688774526119232, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.19912731274962425, + "step": 700 + }, + { + "epoch": 0.11683333333333333, + "grad_norm": 28.375, + "grad_norm_var": 15.91015625, + "learning_rate": 9.667902132486009e-05, + "loss": 7.2943, + "loss/crossentropy": 1.9123640358448029, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.2353433296084404, + "step": 701 + }, + { + "epoch": 0.117, + "grad_norm": 30.5, + "grad_norm_var": 15.03515625, + "learning_rate": 9.666963287564979e-05, + "loss": 7.189, + "loss/crossentropy": 1.7621385157108307, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16866527497768402, + "step": 702 + }, + { + "epoch": 0.11716666666666667, + "grad_norm": 30.0, + "grad_norm_var": 15.535416666666666, + "learning_rate": 9.666023163169493e-05, + "loss": 7.0641, + "loss/crossentropy": 2.004618912935257, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.18865032866597176, + "step": 703 + }, + { + "epoch": 0.11733333333333333, + "grad_norm": 36.25, + "grad_norm_var": 16.249739583333334, + "learning_rate": 9.665081759557295e-05, + "loss": 7.2017, + "loss/crossentropy": 1.782902330160141, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.18442142754793167, + "step": 704 + }, + { + "epoch": 0.1175, + "grad_norm": 35.0, + "grad_norm_var": 16.48125, + "learning_rate": 9.664139076986473e-05, + "loss": 7.3359, + "loss/crossentropy": 2.1698412895202637, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.14698780700564384, + "step": 705 + }, + { + "epoch": 0.11766666666666667, + "grad_norm": 33.75, + "grad_norm_var": 16.485416666666666, + "learning_rate": 9.663195115715471e-05, + "loss": 7.3171, + "loss/crossentropy": 1.7291880697011948, + "loss/hidden": 3.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.21997908502817154, + "step": 706 + }, + { + "epoch": 0.11783333333333333, + "grad_norm": 31.75, + "grad_norm_var": 16.595572916666665, + "learning_rate": 9.66224987600308e-05, + "loss": 7.305, + "loss/crossentropy": 1.7600916624069214, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.24830835685133934, + "step": 707 + }, + { + "epoch": 0.118, + "grad_norm": 34.25, + "grad_norm_var": 16.170768229166665, + "learning_rate": 9.661303358108445e-05, + "loss": 7.2735, + "loss/crossentropy": 2.0899295806884766, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18403327465057373, + "step": 708 + }, + { + "epoch": 0.11816666666666667, + "grad_norm": 41.0, + "grad_norm_var": 19.323958333333334, + "learning_rate": 9.660355562291055e-05, + "loss": 7.0471, + "loss/crossentropy": 1.8371227979660034, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1795869842171669, + "step": 709 + }, + { + "epoch": 0.11833333333333333, + "grad_norm": 32.0, + "grad_norm_var": 19.387239583333333, + "learning_rate": 9.659406488810759e-05, + "loss": 7.2137, + "loss/crossentropy": 2.0583205223083496, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.17614539712667465, + "step": 710 + }, + { + "epoch": 0.1185, + "grad_norm": 32.5, + "grad_norm_var": 19.156184895833334, + "learning_rate": 9.658456137927745e-05, + "loss": 7.2021, + "loss/crossentropy": 1.9199265837669373, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.15964625403285027, + "step": 711 + }, + { + "epoch": 0.11866666666666667, + "grad_norm": 30.75, + "grad_norm_var": 10.275455729166667, + "learning_rate": 9.657504509902562e-05, + "loss": 7.3052, + "loss/crossentropy": 1.8404278457164764, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.17447392269968987, + "step": 712 + }, + { + "epoch": 0.11883333333333333, + "grad_norm": 35.0, + "grad_norm_var": 10.332747395833334, + "learning_rate": 9.656551604996102e-05, + "loss": 7.2903, + "loss/crossentropy": 2.249763637781143, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.20632215961813927, + "step": 713 + }, + { + "epoch": 0.119, + "grad_norm": 33.25, + "grad_norm_var": 9.153580729166666, + "learning_rate": 9.655597423469609e-05, + "loss": 7.3072, + "loss/crossentropy": 2.0143617391586304, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.1969807855784893, + "step": 714 + }, + { + "epoch": 0.11916666666666667, + "grad_norm": 36.0, + "grad_norm_var": 9.645572916666667, + "learning_rate": 9.654641965584678e-05, + "loss": 7.1574, + "loss/crossentropy": 1.9726352393627167, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.20835205540060997, + "step": 715 + }, + { + "epoch": 0.11933333333333333, + "grad_norm": 33.75, + "grad_norm_var": 9.098893229166666, + "learning_rate": 9.653685231603256e-05, + "loss": 7.3108, + "loss/crossentropy": 2.2339956909418106, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17952323704957962, + "step": 716 + }, + { + "epoch": 0.1195, + "grad_norm": 29.0, + "grad_norm_var": 8.705989583333333, + "learning_rate": 9.652727221787631e-05, + "loss": 7.0571, + "loss/crossentropy": 1.9769413471221924, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.18933235481381416, + "step": 717 + }, + { + "epoch": 0.11966666666666667, + "grad_norm": 33.75, + "grad_norm_var": 8.1, + "learning_rate": 9.65176793640045e-05, + "loss": 7.7582, + "loss/crossentropy": 2.0757074654102325, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.20930679887533188, + "step": 718 + }, + { + "epoch": 0.11983333333333333, + "grad_norm": 32.5, + "grad_norm_var": 7.282291666666667, + "learning_rate": 9.650807375704708e-05, + "loss": 7.3997, + "loss/crossentropy": 1.870364248752594, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.20642438158392906, + "step": 719 + }, + { + "epoch": 0.12, + "grad_norm": 29.25, + "grad_norm_var": 8.040625, + "learning_rate": 9.649845539963747e-05, + "loss": 7.4299, + "loss/crossentropy": 1.994875967502594, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16478855349123478, + "step": 720 + }, + { + "epoch": 0.12016666666666667, + "grad_norm": 31.125, + "grad_norm_var": 8.123372395833334, + "learning_rate": 9.648882429441257e-05, + "loss": 7.298, + "loss/crossentropy": 2.005363404750824, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.17638836801052094, + "step": 721 + }, + { + "epoch": 0.12033333333333333, + "grad_norm": 32.75, + "grad_norm_var": 8.0994140625, + "learning_rate": 9.647918044401285e-05, + "loss": 7.2297, + "loss/crossentropy": 2.101778954267502, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.20618782192468643, + "step": 722 + }, + { + "epoch": 0.1205, + "grad_norm": 33.25, + "grad_norm_var": 7.9822265625, + "learning_rate": 9.646952385108218e-05, + "loss": 7.2682, + "loss/crossentropy": 1.9291025698184967, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.2194034680724144, + "step": 723 + }, + { + "epoch": 0.12066666666666667, + "grad_norm": 35.0, + "grad_norm_var": 8.1291015625, + "learning_rate": 9.645985451826803e-05, + "loss": 7.3166, + "loss/crossentropy": 1.787375569343567, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.24283263459801674, + "step": 724 + }, + { + "epoch": 0.12083333333333333, + "grad_norm": 33.5, + "grad_norm_var": 3.8244140625, + "learning_rate": 9.645017244822123e-05, + "loss": 7.3247, + "loss/crossentropy": 1.7216472327709198, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.17585238814353943, + "step": 725 + }, + { + "epoch": 0.121, + "grad_norm": 3556769792.0, + "grad_norm_var": 7.906631950160014e+17, + "learning_rate": 9.644047764359622e-05, + "loss": 8.5727, + "loss/crossentropy": 1.454335242509842, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.20076533406972885, + "step": 726 + }, + { + "epoch": 0.12116666666666667, + "grad_norm": 42.5, + "grad_norm_var": 7.90663194719604e+17, + "learning_rate": 9.643077010705087e-05, + "loss": 7.4779, + "loss/crossentropy": 1.6177605986595154, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.1870615854859352, + "step": 727 + }, + { + "epoch": 0.12133333333333333, + "grad_norm": 36.5, + "grad_norm_var": 7.906631945491754e+17, + "learning_rate": 9.642104984124656e-05, + "loss": 7.076, + "loss/crossentropy": 1.951613113284111, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.19707249477505684, + "step": 728 + }, + { + "epoch": 0.1215, + "grad_norm": 33.0, + "grad_norm_var": 7.906631946084549e+17, + "learning_rate": 9.641131684884817e-05, + "loss": 7.3959, + "loss/crossentropy": 2.394118160009384, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.22449449822306633, + "step": 729 + }, + { + "epoch": 0.12166666666666667, + "grad_norm": 31.625, + "grad_norm_var": 7.906631946566195e+17, + "learning_rate": 9.640157113252403e-05, + "loss": 7.265, + "loss/crossentropy": 1.5260854363441467, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.16729702427983284, + "step": 730 + }, + { + "epoch": 0.12183333333333334, + "grad_norm": 30.25, + "grad_norm_var": 7.906631948270481e+17, + "learning_rate": 9.6391812694946e-05, + "loss": 7.0343, + "loss/crossentropy": 1.9055115580558777, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.15993406996130943, + "step": 731 + }, + { + "epoch": 0.122, + "grad_norm": 36.75, + "grad_norm_var": 7.906631947381289e+17, + "learning_rate": 9.63820415387894e-05, + "loss": 7.1845, + "loss/crossentropy": 2.015164703130722, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.19183053076267242, + "step": 732 + }, + { + "epoch": 0.12216666666666667, + "grad_norm": 33.0, + "grad_norm_var": 7.906631946195698e+17, + "learning_rate": 9.637225766673307e-05, + "loss": 7.2563, + "loss/crossentropy": 2.0142166912555695, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.17613041400909424, + "step": 733 + }, + { + "epoch": 0.12233333333333334, + "grad_norm": 37.25, + "grad_norm_var": 7.906631945158308e+17, + "learning_rate": 9.636246108145929e-05, + "loss": 7.4622, + "loss/crossentropy": 1.5445748269557953, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.19925610348582268, + "step": 734 + }, + { + "epoch": 0.1225, + "grad_norm": 33.5, + "grad_norm_var": 7.90663194486191e+17, + "learning_rate": 9.635265178565385e-05, + "loss": 7.1286, + "loss/crossentropy": 1.6356547176837921, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1801084205508232, + "step": 735 + }, + { + "epoch": 0.12266666666666666, + "grad_norm": 30.625, + "grad_norm_var": 7.906631944454363e+17, + "learning_rate": 9.634282978200604e-05, + "loss": 7.0731, + "loss/crossentropy": 1.4879166930913925, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.18008296936750412, + "step": 736 + }, + { + "epoch": 0.12283333333333334, + "grad_norm": 38.0, + "grad_norm_var": 7.906631942416631e+17, + "learning_rate": 9.63329950732086e-05, + "loss": 7.2036, + "loss/crossentropy": 2.29751256108284, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1693776212632656, + "step": 737 + }, + { + "epoch": 0.123, + "grad_norm": 31.625, + "grad_norm_var": 7.906631942750077e+17, + "learning_rate": 9.632314766195781e-05, + "loss": 7.3466, + "loss/crossentropy": 2.0535372495651245, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.18832634389400482, + "step": 738 + }, + { + "epoch": 0.12316666666666666, + "grad_norm": 40.0, + "grad_norm_var": 7.906631940749395e+17, + "learning_rate": 9.631328755095333e-05, + "loss": 7.2628, + "loss/crossentropy": 1.8776691854000092, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.24790114909410477, + "step": 739 + }, + { + "epoch": 0.12333333333333334, + "grad_norm": 31.625, + "grad_norm_var": 7.906631941749736e+17, + "learning_rate": 9.630341474289842e-05, + "loss": 7.0856, + "loss/crossentropy": 2.3005475103855133, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.18241657316684723, + "step": 740 + }, + { + "epoch": 0.1235, + "grad_norm": 36.75, + "grad_norm_var": 7.906631940786445e+17, + "learning_rate": 9.629352924049975e-05, + "loss": 7.391, + "loss/crossentropy": 1.8251358270645142, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.17540963739156723, + "step": 741 + }, + { + "epoch": 0.12366666666666666, + "grad_norm": 32.25, + "grad_norm_var": 13.064322916666667, + "learning_rate": 9.628363104646747e-05, + "loss": 7.4362, + "loss/crossentropy": 1.4832358211278915, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.22334732487797737, + "step": 742 + }, + { + "epoch": 0.12383333333333334, + "grad_norm": 33.75, + "grad_norm_var": 8.753125, + "learning_rate": 9.627372016351524e-05, + "loss": 7.2842, + "loss/crossentropy": 1.409521147608757, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.18547486886382103, + "step": 743 + }, + { + "epoch": 0.124, + "grad_norm": 32.25, + "grad_norm_var": 8.55390625, + "learning_rate": 9.626379659436017e-05, + "loss": 7.1275, + "loss/crossentropy": 2.0276291966438293, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.15947329252958298, + "step": 744 + }, + { + "epoch": 0.12416666666666666, + "grad_norm": 35.0, + "grad_norm_var": 8.56640625, + "learning_rate": 9.62538603417229e-05, + "loss": 6.8613, + "loss/crossentropy": 2.1070659160614014, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1781615987420082, + "step": 745 + }, + { + "epoch": 0.12433333333333334, + "grad_norm": 29.625, + "grad_norm_var": 9.45390625, + "learning_rate": 9.624391140832749e-05, + "loss": 7.1686, + "loss/crossentropy": 1.7076525390148163, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.19607660174369812, + "step": 746 + }, + { + "epoch": 0.1245, + "grad_norm": 27.875, + "grad_norm_var": 10.959309895833334, + "learning_rate": 9.623394979690147e-05, + "loss": 6.9328, + "loss/crossentropy": 1.667178988456726, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1780499890446663, + "step": 747 + }, + { + "epoch": 0.12466666666666666, + "grad_norm": 40.75, + "grad_norm_var": 13.5634765625, + "learning_rate": 9.622397551017592e-05, + "loss": 7.3289, + "loss/crossentropy": 2.0472422540187836, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.25567299500107765, + "step": 748 + }, + { + "epoch": 0.12483333333333334, + "grad_norm": 34.0, + "grad_norm_var": 13.493684895833333, + "learning_rate": 9.62139885508853e-05, + "loss": 7.1938, + "loss/crossentropy": 1.935056746006012, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.18027054890990257, + "step": 749 + }, + { + "epoch": 0.125, + "grad_norm": 34.0, + "grad_norm_var": 12.769205729166666, + "learning_rate": 9.620398892176762e-05, + "loss": 7.1023, + "loss/crossentropy": 1.9850616455078125, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.1702703759074211, + "step": 750 + }, + { + "epoch": 0.12516666666666668, + "grad_norm": 32.25, + "grad_norm_var": 12.925455729166666, + "learning_rate": 9.619397662556435e-05, + "loss": 7.0518, + "loss/crossentropy": 1.9070358872413635, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.18442638218402863, + "step": 751 + }, + { + "epoch": 0.12533333333333332, + "grad_norm": 32.25, + "grad_norm_var": 12.408333333333333, + "learning_rate": 9.618395166502037e-05, + "loss": 7.477, + "loss/crossentropy": 2.2646956145763397, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.17256101593375206, + "step": 752 + }, + { + "epoch": 0.1255, + "grad_norm": 31.0, + "grad_norm_var": 11.620833333333334, + "learning_rate": 9.617391404288412e-05, + "loss": 7.3544, + "loss/crossentropy": 1.724146842956543, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.22952701151371002, + "step": 753 + }, + { + "epoch": 0.12566666666666668, + "grad_norm": 33.75, + "grad_norm_var": 11.389518229166667, + "learning_rate": 9.616386376190745e-05, + "loss": 6.9786, + "loss/crossentropy": 2.112118750810623, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.20843658223748207, + "step": 754 + }, + { + "epoch": 0.12583333333333332, + "grad_norm": 47.5, + "grad_norm_var": 21.334830729166665, + "learning_rate": 9.615380082484571e-05, + "loss": 6.9438, + "loss/crossentropy": 1.8424568474292755, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17724787816405296, + "step": 755 + }, + { + "epoch": 0.126, + "grad_norm": 32.75, + "grad_norm_var": 21.051822916666666, + "learning_rate": 9.614372523445771e-05, + "loss": 7.0792, + "loss/crossentropy": 1.963213711977005, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.22874099016189575, + "step": 756 + }, + { + "epoch": 0.12616666666666668, + "grad_norm": 32.5, + "grad_norm_var": 20.684375, + "learning_rate": 9.613363699350575e-05, + "loss": 7.3902, + "loss/crossentropy": 1.9653111547231674, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.25649160146713257, + "step": 757 + }, + { + "epoch": 0.12633333333333333, + "grad_norm": 31.5, + "grad_norm_var": 20.87890625, + "learning_rate": 9.612353610475555e-05, + "loss": 7.3985, + "loss/crossentropy": 2.0834298133850098, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16825050488114357, + "step": 758 + }, + { + "epoch": 0.1265, + "grad_norm": 30.625, + "grad_norm_var": 21.5087890625, + "learning_rate": 9.611342257097632e-05, + "loss": 7.2984, + "loss/crossentropy": 1.9898212254047394, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.18303432315587997, + "step": 759 + }, + { + "epoch": 0.12666666666666668, + "grad_norm": 37.0, + "grad_norm_var": 22.062955729166667, + "learning_rate": 9.610329639494076e-05, + "loss": 7.0416, + "loss/crossentropy": 1.7550754845142365, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.20484184846282005, + "step": 760 + }, + { + "epoch": 0.12683333333333333, + "grad_norm": 33.0, + "grad_norm_var": 22.019205729166668, + "learning_rate": 9.609315757942503e-05, + "loss": 7.2014, + "loss/crossentropy": 1.6708803474903107, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1901095025241375, + "step": 761 + }, + { + "epoch": 0.127, + "grad_norm": 27.875, + "grad_norm_var": 23.178580729166665, + "learning_rate": 9.608300612720873e-05, + "loss": 7.0374, + "loss/crossentropy": 1.5478509664535522, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.16465886682271957, + "step": 762 + }, + { + "epoch": 0.12716666666666668, + "grad_norm": 33.0, + "grad_norm_var": 20.864322916666666, + "learning_rate": 9.607284204107493e-05, + "loss": 7.0719, + "loss/crossentropy": 1.9549244046211243, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.1916433423757553, + "step": 763 + }, + { + "epoch": 0.12733333333333333, + "grad_norm": 32.25, + "grad_norm_var": 17.712239583333332, + "learning_rate": 9.606266532381018e-05, + "loss": 7.0771, + "loss/crossentropy": 1.9018628597259521, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.17975174635648727, + "step": 764 + }, + { + "epoch": 0.1275, + "grad_norm": 36.5, + "grad_norm_var": 18.28515625, + "learning_rate": 9.605247597820448e-05, + "loss": 7.3256, + "loss/crossentropy": 2.133163273334503, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.2208230309188366, + "step": 765 + }, + { + "epoch": 0.12766666666666668, + "grad_norm": 31.25, + "grad_norm_var": 18.614583333333332, + "learning_rate": 9.604227400705133e-05, + "loss": 7.3763, + "loss/crossentropy": 1.6012031733989716, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.21127447858452797, + "step": 766 + }, + { + "epoch": 0.12783333333333333, + "grad_norm": 31.25, + "grad_norm_var": 18.835416666666667, + "learning_rate": 9.603205941314758e-05, + "loss": 7.3093, + "loss/crossentropy": 1.6147058308124542, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.16550498083233833, + "step": 767 + }, + { + "epoch": 0.128, + "grad_norm": 33.5, + "grad_norm_var": 18.745572916666667, + "learning_rate": 9.602183219929371e-05, + "loss": 7.6064, + "loss/crossentropy": 2.2897163033485413, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.17588834092020988, + "step": 768 + }, + { + "epoch": 0.12816666666666668, + "grad_norm": 30.75, + "grad_norm_var": 18.83125, + "learning_rate": 9.601159236829352e-05, + "loss": 7.3156, + "loss/crossentropy": 1.849684089422226, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.19435883313417435, + "step": 769 + }, + { + "epoch": 0.12833333333333333, + "grad_norm": 29.75, + "grad_norm_var": 19.664583333333333, + "learning_rate": 9.600133992295433e-05, + "loss": 7.2441, + "loss/crossentropy": 2.2538318634033203, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.19374402984976768, + "step": 770 + }, + { + "epoch": 0.1285, + "grad_norm": 34.5, + "grad_norm_var": 5.41875, + "learning_rate": 9.599107486608689e-05, + "loss": 7.2588, + "loss/crossentropy": 1.5848983824253082, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.17050610482692719, + "step": 771 + }, + { + "epoch": 0.12866666666666668, + "grad_norm": 32.0, + "grad_norm_var": 5.41640625, + "learning_rate": 9.598079720050544e-05, + "loss": 7.2554, + "loss/crossentropy": 1.688281625509262, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.22045187279582024, + "step": 772 + }, + { + "epoch": 0.12883333333333333, + "grad_norm": 34.0, + "grad_norm_var": 5.59140625, + "learning_rate": 9.597050692902765e-05, + "loss": 7.4084, + "loss/crossentropy": 2.116013526916504, + "loss/hidden": 3.87109375, + "loss/jsd": 0.0, + "loss/logits": 0.35107842087745667, + "step": 773 + }, + { + "epoch": 0.129, + "grad_norm": 31.75, + "grad_norm_var": 5.564583333333333, + "learning_rate": 9.596020405447466e-05, + "loss": 7.2689, + "loss/crossentropy": 1.9616560637950897, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17355723679065704, + "step": 774 + }, + { + "epoch": 0.12916666666666668, + "grad_norm": 32.0, + "grad_norm_var": 5.350455729166667, + "learning_rate": 9.594988857967106e-05, + "loss": 7.1446, + "loss/crossentropy": 1.962799996137619, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.1704629361629486, + "step": 775 + }, + { + "epoch": 0.12933333333333333, + "grad_norm": 29.875, + "grad_norm_var": 4.270572916666667, + "learning_rate": 9.593956050744492e-05, + "loss": 7.0291, + "loss/crossentropy": 2.1874040067195892, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16180355846881866, + "step": 776 + }, + { + "epoch": 0.1295, + "grad_norm": 35.0, + "grad_norm_var": 4.76640625, + "learning_rate": 9.59292198406277e-05, + "loss": 7.3201, + "loss/crossentropy": 2.0684027671813965, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1866193450987339, + "step": 777 + }, + { + "epoch": 0.12966666666666668, + "grad_norm": 33.0, + "grad_norm_var": 3.450455729166667, + "learning_rate": 9.591886658205438e-05, + "loss": 7.2141, + "loss/crossentropy": 1.798172414302826, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1641489341855049, + "step": 778 + }, + { + "epoch": 0.12983333333333333, + "grad_norm": 32.5, + "grad_norm_var": 3.434309895833333, + "learning_rate": 9.590850073456336e-05, + "loss": 7.3282, + "loss/crossentropy": 1.8041448891162872, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.21086344867944717, + "step": 779 + }, + { + "epoch": 0.13, + "grad_norm": 32.25, + "grad_norm_var": 3.434309895833333, + "learning_rate": 9.589812230099649e-05, + "loss": 7.2079, + "loss/crossentropy": 1.9510250985622406, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1650061495602131, + "step": 780 + }, + { + "epoch": 0.13016666666666668, + "grad_norm": 31.125, + "grad_norm_var": 2.3677083333333333, + "learning_rate": 9.588773128419906e-05, + "loss": 7.1809, + "loss/crossentropy": 2.310162901878357, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.2582610249519348, + "step": 781 + }, + { + "epoch": 0.13033333333333333, + "grad_norm": 36.0, + "grad_norm_var": 3.20390625, + "learning_rate": 9.587732768701986e-05, + "loss": 6.9808, + "loss/crossentropy": 1.50637586414814, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.16680185496807098, + "step": 782 + }, + { + "epoch": 0.1305, + "grad_norm": 35.0, + "grad_norm_var": 3.48125, + "learning_rate": 9.586691151231107e-05, + "loss": 7.1922, + "loss/crossentropy": 1.9600141942501068, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.19956029206514359, + "step": 783 + }, + { + "epoch": 0.13066666666666665, + "grad_norm": 30.625, + "grad_norm_var": 3.686393229166667, + "learning_rate": 9.585648276292836e-05, + "loss": 7.3053, + "loss/crossentropy": 1.8970597684383392, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.18671169504523277, + "step": 784 + }, + { + "epoch": 0.13083333333333333, + "grad_norm": 30.375, + "grad_norm_var": 3.783072916666667, + "learning_rate": 9.584604144173083e-05, + "loss": 7.3104, + "loss/crossentropy": 1.6864672750234604, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.17203770950436592, + "step": 785 + }, + { + "epoch": 0.131, + "grad_norm": 33.5, + "grad_norm_var": 3.294791666666667, + "learning_rate": 9.5835587551581e-05, + "loss": 6.9471, + "loss/crossentropy": 1.7447805106639862, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1637143399566412, + "step": 786 + }, + { + "epoch": 0.13116666666666665, + "grad_norm": 30.75, + "grad_norm_var": 3.283072916666667, + "learning_rate": 9.58251210953449e-05, + "loss": 7.1848, + "loss/crossentropy": 1.606904461979866, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.16485954821109772, + "step": 787 + }, + { + "epoch": 0.13133333333333333, + "grad_norm": 36.5, + "grad_norm_var": 4.258072916666666, + "learning_rate": 9.581464207589195e-05, + "loss": 7.1967, + "loss/crossentropy": 2.123050779104233, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.18045473843812943, + "step": 788 + }, + { + "epoch": 0.1315, + "grad_norm": 34.75, + "grad_norm_var": 4.416666666666667, + "learning_rate": 9.580415049609503e-05, + "loss": 7.3665, + "loss/crossentropy": 2.0198948085308075, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.1940045841038227, + "step": 789 + }, + { + "epoch": 0.13166666666666665, + "grad_norm": 38.25, + "grad_norm_var": 6.136458333333334, + "learning_rate": 9.579364635883048e-05, + "loss": 7.3307, + "loss/crossentropy": 2.293046534061432, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.1891222782433033, + "step": 790 + }, + { + "epoch": 0.13183333333333333, + "grad_norm": 32.75, + "grad_norm_var": 6.049739583333333, + "learning_rate": 9.578312966697807e-05, + "loss": 7.081, + "loss/crossentropy": 2.1809073388576508, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.18149369955062866, + "step": 791 + }, + { + "epoch": 0.132, + "grad_norm": 30.75, + "grad_norm_var": 5.702018229166667, + "learning_rate": 9.577260042342097e-05, + "loss": 7.2362, + "loss/crossentropy": 1.84629625082016, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1877918615937233, + "step": 792 + }, + { + "epoch": 0.13216666666666665, + "grad_norm": 29.25, + "grad_norm_var": 6.4806640625, + "learning_rate": 9.576205863104588e-05, + "loss": 7.4503, + "loss/crossentropy": 1.9817317426204681, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.18423109501600266, + "step": 793 + }, + { + "epoch": 0.13233333333333333, + "grad_norm": 29.75, + "grad_norm_var": 7.123893229166667, + "learning_rate": 9.575150429274287e-05, + "loss": 7.3884, + "loss/crossentropy": 2.3506908416748047, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1764533445239067, + "step": 794 + }, + { + "epoch": 0.1325, + "grad_norm": 33.75, + "grad_norm_var": 7.178580729166667, + "learning_rate": 9.574093741140549e-05, + "loss": 6.9683, + "loss/crossentropy": 1.5706563293933868, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.17185845598578453, + "step": 795 + }, + { + "epoch": 0.13266666666666665, + "grad_norm": 37.25, + "grad_norm_var": 8.350455729166667, + "learning_rate": 9.573035798993069e-05, + "loss": 7.2168, + "loss/crossentropy": 1.1439642012119293, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.17750319838523865, + "step": 796 + }, + { + "epoch": 0.13283333333333333, + "grad_norm": 32.5, + "grad_norm_var": 8.09765625, + "learning_rate": 9.571976603121888e-05, + "loss": 7.1198, + "loss/crossentropy": 2.444544196128845, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.16872760653495789, + "step": 797 + }, + { + "epoch": 0.133, + "grad_norm": 36.0, + "grad_norm_var": 8.09765625, + "learning_rate": 9.570916153817391e-05, + "loss": 7.2076, + "loss/crossentropy": 2.22321480512619, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.170970369130373, + "step": 798 + }, + { + "epoch": 0.13316666666666666, + "grad_norm": 31.625, + "grad_norm_var": 8.0150390625, + "learning_rate": 9.569854451370307e-05, + "loss": 7.0286, + "loss/crossentropy": 2.003016710281372, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.19756201654672623, + "step": 799 + }, + { + "epoch": 0.13333333333333333, + "grad_norm": 31.0, + "grad_norm_var": 7.90390625, + "learning_rate": 9.568791496071706e-05, + "loss": 7.2873, + "loss/crossentropy": 1.6287779659032822, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.20879724621772766, + "step": 800 + }, + { + "epoch": 0.1335, + "grad_norm": 30.75, + "grad_norm_var": 7.7791015625, + "learning_rate": 9.567727288213005e-05, + "loss": 7.1588, + "loss/crossentropy": 1.7264407873153687, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.18642090260982513, + "step": 801 + }, + { + "epoch": 0.13366666666666666, + "grad_norm": 32.25, + "grad_norm_var": 7.805143229166666, + "learning_rate": 9.56666182808596e-05, + "loss": 7.1695, + "loss/crossentropy": 2.137233257293701, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.18422173708677292, + "step": 802 + }, + { + "epoch": 0.13383333333333333, + "grad_norm": 30.625, + "grad_norm_var": 7.843489583333334, + "learning_rate": 9.565595115982678e-05, + "loss": 7.5146, + "loss/crossentropy": 1.9141822457313538, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.20264451205730438, + "step": 803 + }, + { + "epoch": 0.134, + "grad_norm": 30.125, + "grad_norm_var": 7.395247395833334, + "learning_rate": 9.5645271521956e-05, + "loss": 7.0942, + "loss/crossentropy": 1.2032550573349, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.15775632485747337, + "step": 804 + }, + { + "epoch": 0.13416666666666666, + "grad_norm": 28.875, + "grad_norm_var": 7.857291666666667, + "learning_rate": 9.563457937017515e-05, + "loss": 6.9968, + "loss/crossentropy": 1.5480999499559402, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.14649275690317154, + "step": 805 + }, + { + "epoch": 0.13433333333333333, + "grad_norm": 36.5, + "grad_norm_var": 6.64140625, + "learning_rate": 9.562387470741554e-05, + "loss": 7.1829, + "loss/crossentropy": 1.913821130990982, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.21699776872992516, + "step": 806 + }, + { + "epoch": 0.1345, + "grad_norm": 32.5, + "grad_norm_var": 6.623958333333333, + "learning_rate": 9.561315753661194e-05, + "loss": 7.3507, + "loss/crossentropy": 2.378206968307495, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17058103904128075, + "step": 807 + }, + { + "epoch": 0.13466666666666666, + "grad_norm": 37.5, + "grad_norm_var": 8.262239583333333, + "learning_rate": 9.560242786070249e-05, + "loss": 7.1721, + "loss/crossentropy": 2.3090766072273254, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.20279062166810036, + "step": 808 + }, + { + "epoch": 0.13483333333333333, + "grad_norm": 36.0, + "grad_norm_var": 8.170833333333333, + "learning_rate": 9.55916856826288e-05, + "loss": 7.158, + "loss/crossentropy": 2.150182008743286, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16158411651849747, + "step": 809 + }, + { + "epoch": 0.135, + "grad_norm": 27.75, + "grad_norm_var": 9.270833333333334, + "learning_rate": 9.558093100533591e-05, + "loss": 6.866, + "loss/crossentropy": 1.5633295774459839, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15401308983564377, + "step": 810 + }, + { + "epoch": 0.13516666666666666, + "grad_norm": 30.25, + "grad_norm_var": 9.598958333333334, + "learning_rate": 9.557016383177227e-05, + "loss": 7.4332, + "loss/crossentropy": 1.5982379913330078, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.15583708882331848, + "step": 811 + }, + { + "epoch": 0.13533333333333333, + "grad_norm": 33.0, + "grad_norm_var": 8.089322916666667, + "learning_rate": 9.555938416488977e-05, + "loss": 7.3273, + "loss/crossentropy": 1.6491760313510895, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.16479353606700897, + "step": 812 + }, + { + "epoch": 0.1355, + "grad_norm": 47.75, + "grad_norm_var": 22.973958333333332, + "learning_rate": 9.55485920076437e-05, + "loss": 7.2593, + "loss/crossentropy": 1.887940376996994, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.18628187850117683, + "step": 813 + }, + { + "epoch": 0.13566666666666666, + "grad_norm": 31.875, + "grad_norm_var": 22.542122395833335, + "learning_rate": 9.553778736299279e-05, + "loss": 7.2753, + "loss/crossentropy": 1.8376013785600662, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.17566929385066032, + "step": 814 + }, + { + "epoch": 0.13583333333333333, + "grad_norm": 34.25, + "grad_norm_var": 22.483333333333334, + "learning_rate": 9.552697023389922e-05, + "loss": 7.1116, + "loss/crossentropy": 2.0512495040893555, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.17322762310504913, + "step": 815 + }, + { + "epoch": 0.136, + "grad_norm": 32.0, + "grad_norm_var": 22.254166666666666, + "learning_rate": 9.551614062332856e-05, + "loss": 7.2802, + "loss/crossentropy": 2.209246516227722, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1635245606303215, + "step": 816 + }, + { + "epoch": 0.13616666666666666, + "grad_norm": 28.125, + "grad_norm_var": 23.559830729166666, + "learning_rate": 9.550529853424979e-05, + "loss": 7.1244, + "loss/crossentropy": 1.5150603652000427, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.16150140762329102, + "step": 817 + }, + { + "epoch": 0.13633333333333333, + "grad_norm": 31.375, + "grad_norm_var": 23.705208333333335, + "learning_rate": 9.549444396963534e-05, + "loss": 7.1604, + "loss/crossentropy": 1.7344059646129608, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.19508787989616394, + "step": 818 + }, + { + "epoch": 0.1365, + "grad_norm": 30.375, + "grad_norm_var": 23.789322916666666, + "learning_rate": 9.548357693246105e-05, + "loss": 7.312, + "loss/crossentropy": 1.9685882925987244, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.19253920391201973, + "step": 819 + }, + { + "epoch": 0.13666666666666666, + "grad_norm": 30.625, + "grad_norm_var": 23.612239583333334, + "learning_rate": 9.547269742570619e-05, + "loss": 7.4232, + "loss/crossentropy": 1.7538487613201141, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.193400289863348, + "step": 820 + }, + { + "epoch": 0.13683333333333333, + "grad_norm": 32.0, + "grad_norm_var": 22.484309895833334, + "learning_rate": 9.546180545235344e-05, + "loss": 7.1951, + "loss/crossentropy": 1.9168739020824432, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.21507158875465393, + "step": 821 + }, + { + "epoch": 0.137, + "grad_norm": 31.875, + "grad_norm_var": 21.812239583333334, + "learning_rate": 9.545090101538887e-05, + "loss": 7.2019, + "loss/crossentropy": 2.167972207069397, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.16965579986572266, + "step": 822 + }, + { + "epoch": 0.13716666666666666, + "grad_norm": 35.25, + "grad_norm_var": 22.11875, + "learning_rate": 9.543998411780201e-05, + "loss": 7.2713, + "loss/crossentropy": 2.357577830553055, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.2042151391506195, + "step": 823 + }, + { + "epoch": 0.13733333333333334, + "grad_norm": 32.25, + "grad_norm_var": 20.77890625, + "learning_rate": 9.54290547625858e-05, + "loss": 7.2059, + "loss/crossentropy": 2.018874019384384, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1911584846675396, + "step": 824 + }, + { + "epoch": 0.1375, + "grad_norm": 32.5, + "grad_norm_var": 20.049739583333334, + "learning_rate": 9.541811295273656e-05, + "loss": 7.5932, + "loss/crossentropy": 2.1227717101573944, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.15998363122344017, + "step": 825 + }, + { + "epoch": 0.13766666666666666, + "grad_norm": 34.25, + "grad_norm_var": 18.505989583333335, + "learning_rate": 9.540715869125407e-05, + "loss": 7.2702, + "loss/crossentropy": 1.5410704165697098, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.14585284516215324, + "step": 826 + }, + { + "epoch": 0.13783333333333334, + "grad_norm": 28.75, + "grad_norm_var": 19.193489583333335, + "learning_rate": 9.53961919811415e-05, + "loss": 7.1976, + "loss/crossentropy": 1.3984507620334625, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.20053860172629356, + "step": 827 + }, + { + "epoch": 0.138, + "grad_norm": 30.75, + "grad_norm_var": 19.477083333333333, + "learning_rate": 9.538521282540542e-05, + "loss": 7.3064, + "loss/crossentropy": 1.939309448003769, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.18332596495747566, + "step": 828 + }, + { + "epoch": 0.13816666666666666, + "grad_norm": 29.875, + "grad_norm_var": 3.6968098958333333, + "learning_rate": 9.537422122705585e-05, + "loss": 7.3088, + "loss/crossentropy": 2.401898682117462, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.17688017711043358, + "step": 829 + }, + { + "epoch": 0.13833333333333334, + "grad_norm": 33.0, + "grad_norm_var": 3.812239583333333, + "learning_rate": 9.536321718910619e-05, + "loss": 6.9041, + "loss/crossentropy": 1.9290994107723236, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.1785241961479187, + "step": 830 + }, + { + "epoch": 0.1385, + "grad_norm": 35.5, + "grad_norm_var": 4.334375, + "learning_rate": 9.535220071457325e-05, + "loss": 7.4805, + "loss/crossentropy": 2.228693962097168, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.15913259238004684, + "step": 831 + }, + { + "epoch": 0.13866666666666666, + "grad_norm": 33.0, + "grad_norm_var": 4.426041666666666, + "learning_rate": 9.534117180647728e-05, + "loss": 7.2876, + "loss/crossentropy": 2.1069608330726624, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.18579137325286865, + "step": 832 + }, + { + "epoch": 0.13883333333333334, + "grad_norm": 32.25, + "grad_norm_var": 3.444205729166667, + "learning_rate": 9.533013046784189e-05, + "loss": 7.2957, + "loss/crossentropy": 2.0110799372196198, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.17723548784852028, + "step": 833 + }, + { + "epoch": 0.139, + "grad_norm": 30.25, + "grad_norm_var": 3.6322916666666667, + "learning_rate": 9.531907670169415e-05, + "loss": 7.1961, + "loss/crossentropy": 2.0143231451511383, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.28889353573322296, + "step": 834 + }, + { + "epoch": 0.13916666666666666, + "grad_norm": 30.125, + "grad_norm_var": 3.69140625, + "learning_rate": 9.530801051106449e-05, + "loss": 7.1965, + "loss/crossentropy": 1.8046370297670364, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.18984964862465858, + "step": 835 + }, + { + "epoch": 0.13933333333333334, + "grad_norm": 30.5, + "grad_norm_var": 3.715559895833333, + "learning_rate": 9.52969318989868e-05, + "loss": 7.3937, + "loss/crossentropy": 1.8575055748224258, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18653538450598717, + "step": 836 + }, + { + "epoch": 0.1395, + "grad_norm": 35.0, + "grad_norm_var": 4.274934895833334, + "learning_rate": 9.528584086849832e-05, + "loss": 7.5886, + "loss/crossentropy": 2.180445581674576, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1793573908507824, + "step": 837 + }, + { + "epoch": 0.13966666666666666, + "grad_norm": 30.75, + "grad_norm_var": 4.402083333333334, + "learning_rate": 9.527473742263973e-05, + "loss": 7.1074, + "loss/crossentropy": 1.3522489666938782, + "loss/hidden": 3.78515625, + "loss/jsd": 0.0, + "loss/logits": 0.2427074834704399, + "step": 838 + }, + { + "epoch": 0.13983333333333334, + "grad_norm": 34.5, + "grad_norm_var": 4.124739583333334, + "learning_rate": 9.526362156445507e-05, + "loss": 7.2462, + "loss/crossentropy": 1.5952425301074982, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.17379407957196236, + "step": 839 + }, + { + "epoch": 0.14, + "grad_norm": 29.375, + "grad_norm_var": 4.575455729166666, + "learning_rate": 9.525249329699188e-05, + "loss": 7.2486, + "loss/crossentropy": 1.8740590512752533, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.21034130454063416, + "step": 840 + }, + { + "epoch": 0.14016666666666666, + "grad_norm": 29.5, + "grad_norm_var": 4.897330729166667, + "learning_rate": 9.524135262330098e-05, + "loss": 7.128, + "loss/crossentropy": 1.7866149991750717, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1871703304350376, + "step": 841 + }, + { + "epoch": 0.14033333333333334, + "grad_norm": 33.0, + "grad_norm_var": 4.571809895833334, + "learning_rate": 9.523019954643669e-05, + "loss": 7.0836, + "loss/crossentropy": 1.6441450268030167, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.16951755061745644, + "step": 842 + }, + { + "epoch": 0.1405, + "grad_norm": 34.0, + "grad_norm_var": 4.276497395833333, + "learning_rate": 9.521903406945664e-05, + "loss": 7.2593, + "loss/crossentropy": 1.6699831187725067, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.20064623653888702, + "step": 843 + }, + { + "epoch": 0.14066666666666666, + "grad_norm": 32.25, + "grad_norm_var": 4.174934895833333, + "learning_rate": 9.520785619542196e-05, + "loss": 7.3072, + "loss/crossentropy": 1.8868179321289062, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.16898546740412712, + "step": 844 + }, + { + "epoch": 0.14083333333333334, + "grad_norm": 30.0, + "grad_norm_var": 4.139583333333333, + "learning_rate": 9.519666592739709e-05, + "loss": 7.272, + "loss/crossentropy": 1.7591368407011032, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1614004783332348, + "step": 845 + }, + { + "epoch": 0.141, + "grad_norm": 30.875, + "grad_norm_var": 4.156184895833333, + "learning_rate": 9.518546326844993e-05, + "loss": 7.3079, + "loss/crossentropy": 1.8068215101957321, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.19330871850252151, + "step": 846 + }, + { + "epoch": 0.14116666666666666, + "grad_norm": 30.0, + "grad_norm_var": 3.428580729166667, + "learning_rate": 9.517424822165175e-05, + "loss": 7.5827, + "loss/crossentropy": 2.0385962426662445, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.1921292021870613, + "step": 847 + }, + { + "epoch": 0.14133333333333334, + "grad_norm": 33.25, + "grad_norm_var": 3.479622395833333, + "learning_rate": 9.516302079007719e-05, + "loss": 7.2749, + "loss/crossentropy": 1.9993867874145508, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1716153398156166, + "step": 848 + }, + { + "epoch": 0.1415, + "grad_norm": 30.5, + "grad_norm_var": 3.5197265625, + "learning_rate": 9.515178097680437e-05, + "loss": 6.9822, + "loss/crossentropy": 1.8454234600067139, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.15885218605399132, + "step": 849 + }, + { + "epoch": 0.14166666666666666, + "grad_norm": 30.625, + "grad_norm_var": 3.46640625, + "learning_rate": 9.51405287849147e-05, + "loss": 7.4828, + "loss/crossentropy": 2.2536956071853638, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.19160786271095276, + "step": 850 + }, + { + "epoch": 0.14183333333333334, + "grad_norm": 30.375, + "grad_norm_var": 3.423958333333333, + "learning_rate": 9.512926421749304e-05, + "loss": 7.3405, + "loss/crossentropy": 1.9627227783203125, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17236102744936943, + "step": 851 + }, + { + "epoch": 0.142, + "grad_norm": 30.375, + "grad_norm_var": 3.442122395833333, + "learning_rate": 9.511798727762764e-05, + "loss": 7.1229, + "loss/crossentropy": 2.0343536138534546, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.209948617964983, + "step": 852 + }, + { + "epoch": 0.14216666666666666, + "grad_norm": 33.25, + "grad_norm_var": 2.8223307291666666, + "learning_rate": 9.510669796841014e-05, + "loss": 7.0988, + "loss/crossentropy": 1.7543722093105316, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.17832380533218384, + "step": 853 + }, + { + "epoch": 0.14233333333333334, + "grad_norm": 37.25, + "grad_norm_var": 4.887434895833334, + "learning_rate": 9.509539629293558e-05, + "loss": 7.25, + "loss/crossentropy": 1.3975646048784256, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.19633839651942253, + "step": 854 + }, + { + "epoch": 0.1425, + "grad_norm": 38.5, + "grad_norm_var": 7.3166015625, + "learning_rate": 9.508408225430237e-05, + "loss": 7.2774, + "loss/crossentropy": 2.2165739834308624, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.21087035164237022, + "step": 855 + }, + { + "epoch": 0.14266666666666666, + "grad_norm": 33.0, + "grad_norm_var": 6.83515625, + "learning_rate": 9.507275585561229e-05, + "loss": 6.9727, + "loss/crossentropy": 1.4398342072963715, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.16120069846510887, + "step": 856 + }, + { + "epoch": 0.14283333333333334, + "grad_norm": 38.25, + "grad_norm_var": 8.357291666666667, + "learning_rate": 9.506141709997057e-05, + "loss": 7.0002, + "loss/crossentropy": 1.8449595719575882, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.20784858986735344, + "step": 857 + }, + { + "epoch": 0.143, + "grad_norm": 33.25, + "grad_norm_var": 8.36640625, + "learning_rate": 9.505006599048579e-05, + "loss": 7.2836, + "loss/crossentropy": 2.059192806482315, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1859123781323433, + "step": 858 + }, + { + "epoch": 0.14316666666666666, + "grad_norm": 32.0, + "grad_norm_var": 8.312239583333334, + "learning_rate": 9.503870253026991e-05, + "loss": 7.1371, + "loss/crossentropy": 2.141940951347351, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.1802339181303978, + "step": 859 + }, + { + "epoch": 0.14333333333333334, + "grad_norm": 30.75, + "grad_norm_var": 8.549739583333333, + "learning_rate": 9.50273267224383e-05, + "loss": 7.3665, + "loss/crossentropy": 2.0429071485996246, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.17789635062217712, + "step": 860 + }, + { + "epoch": 0.1435, + "grad_norm": 30.125, + "grad_norm_var": 8.506705729166667, + "learning_rate": 9.501593857010969e-05, + "loss": 7.3528, + "loss/crossentropy": 1.8638008832931519, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.2563036270439625, + "step": 861 + }, + { + "epoch": 0.14366666666666666, + "grad_norm": 35.25, + "grad_norm_var": 8.668489583333333, + "learning_rate": 9.50045380764062e-05, + "loss": 7.4546, + "loss/crossentropy": 2.127779573202133, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2628929652273655, + "step": 862 + }, + { + "epoch": 0.14383333333333334, + "grad_norm": 3875536896.0, + "grad_norm_var": 9.387366234729743e+17, + "learning_rate": 9.499312524445336e-05, + "loss": 8.1199, + "loss/crossentropy": 2.3370486199855804, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17788996547460556, + "step": 863 + }, + { + "epoch": 0.144, + "grad_norm": 43.0, + "grad_norm_var": 9.387366231580869e+17, + "learning_rate": 9.498170007738005e-05, + "loss": 6.8451, + "loss/crossentropy": 2.1375666558742523, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17391236871480942, + "step": 864 + }, + { + "epoch": 0.14416666666666667, + "grad_norm": 35.0, + "grad_norm_var": 9.387366230127543e+17, + "learning_rate": 9.497026257831855e-05, + "loss": 7.4045, + "loss/crossentropy": 1.5083353966474533, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.18334266915917397, + "step": 865 + }, + { + "epoch": 0.14433333333333334, + "grad_norm": 33.75, + "grad_norm_var": 9.387366229118289e+17, + "learning_rate": 9.495881275040453e-05, + "loss": 7.363, + "loss/crossentropy": 2.0846097469329834, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.176199559122324, + "step": 866 + }, + { + "epoch": 0.1445, + "grad_norm": 30.625, + "grad_norm_var": 9.387366229037549e+17, + "learning_rate": 9.494735059677699e-05, + "loss": 7.4368, + "loss/crossentropy": 1.7406192421913147, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.26504576206207275, + "step": 867 + }, + { + "epoch": 0.14466666666666667, + "grad_norm": 31.0, + "grad_norm_var": 9.387366228835698e+17, + "learning_rate": 9.493587612057837e-05, + "loss": 7.3233, + "loss/crossentropy": 2.186119467020035, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.18371190875768661, + "step": 868 + }, + { + "epoch": 0.14483333333333334, + "grad_norm": 32.75, + "grad_norm_var": 9.387366228997178e+17, + "learning_rate": 9.492438932495444e-05, + "loss": 7.2279, + "loss/crossentropy": 2.286859691143036, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1991770826280117, + "step": 869 + }, + { + "epoch": 0.145, + "grad_norm": 32.0, + "grad_norm_var": 9.387366230692726e+17, + "learning_rate": 9.491289021305441e-05, + "loss": 7.5501, + "loss/crossentropy": 2.273844063282013, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.21323252469301224, + "step": 870 + }, + { + "epoch": 0.14516666666666667, + "grad_norm": 28.75, + "grad_norm_var": 9.387366233841599e+17, + "learning_rate": 9.490137878803079e-05, + "loss": 7.0821, + "loss/crossentropy": 1.7654433399438858, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1789274625480175, + "step": 871 + }, + { + "epoch": 0.14533333333333334, + "grad_norm": 34.5, + "grad_norm_var": 9.387366233357157e+17, + "learning_rate": 9.488985505303951e-05, + "loss": 7.1429, + "loss/crossentropy": 2.2276743054389954, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1722644343972206, + "step": 872 + }, + { + "epoch": 0.1455, + "grad_norm": 31.125, + "grad_norm_var": 9.387366235658257e+17, + "learning_rate": 9.487831901123988e-05, + "loss": 7.2318, + "loss/crossentropy": 1.354034349322319, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.22395050898194313, + "step": 873 + }, + { + "epoch": 0.14566666666666667, + "grad_norm": 30.625, + "grad_norm_var": 9.387366236506031e+17, + "learning_rate": 9.486677066579456e-05, + "loss": 7.0956, + "loss/crossentropy": 1.8272830247879028, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.22604960203170776, + "step": 874 + }, + { + "epoch": 0.14583333333333334, + "grad_norm": 30.25, + "grad_norm_var": 9.387366237071213e+17, + "learning_rate": 9.485521001986962e-05, + "loss": 7.4001, + "loss/crossentropy": 2.2510926127433777, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.17866208404302597, + "step": 875 + }, + { + "epoch": 0.146, + "grad_norm": 29.875, + "grad_norm_var": 9.387366237353805e+17, + "learning_rate": 9.484363707663442e-05, + "loss": 7.1694, + "loss/crossentropy": 2.0665951669216156, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.20089091360569, + "step": 876 + }, + { + "epoch": 0.14616666666666667, + "grad_norm": 27.625, + "grad_norm_var": 9.387366238161208e+17, + "learning_rate": 9.483205183926181e-05, + "loss": 7.2439, + "loss/crossentropy": 2.1436045169830322, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.19738992303609848, + "step": 877 + }, + { + "epoch": 0.14633333333333334, + "grad_norm": 30.875, + "grad_norm_var": 9.387366239574164e+17, + "learning_rate": 9.48204543109279e-05, + "loss": 7.0731, + "loss/crossentropy": 1.8049315214157104, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.20513951405882835, + "step": 878 + }, + { + "epoch": 0.1465, + "grad_norm": 34.75, + "grad_norm_var": 12.684375, + "learning_rate": 9.480884449481225e-05, + "loss": 7.4375, + "loss/crossentropy": 2.4671058654785156, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.20915862172842026, + "step": 879 + }, + { + "epoch": 0.14666666666666667, + "grad_norm": 50.0, + "grad_norm_var": 25.751041666666666, + "learning_rate": 9.479722239409775e-05, + "loss": 7.3419, + "loss/crossentropy": 1.6614379286766052, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.18616421520709991, + "step": 880 + }, + { + "epoch": 0.14683333333333334, + "grad_norm": 33.75, + "grad_norm_var": 25.468489583333334, + "learning_rate": 9.478558801197065e-05, + "loss": 7.2587, + "loss/crossentropy": 2.0950733423233032, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.16770224273204803, + "step": 881 + }, + { + "epoch": 0.147, + "grad_norm": 30.125, + "grad_norm_var": 25.753580729166668, + "learning_rate": 9.47739413516206e-05, + "loss": 6.9264, + "loss/crossentropy": 2.3005232512950897, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.19224124774336815, + "step": 882 + }, + { + "epoch": 0.14716666666666667, + "grad_norm": 29.375, + "grad_norm_var": 26.1494140625, + "learning_rate": 9.476228241624059e-05, + "loss": 7.4149, + "loss/crossentropy": 2.254081070423126, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.1655355878174305, + "step": 883 + }, + { + "epoch": 0.14733333333333334, + "grad_norm": 30.875, + "grad_norm_var": 26.17265625, + "learning_rate": 9.475061120902698e-05, + "loss": 7.1466, + "loss/crossentropy": 2.30178964138031, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.20386098325252533, + "step": 884 + }, + { + "epoch": 0.1475, + "grad_norm": 30.75, + "grad_norm_var": 26.31015625, + "learning_rate": 9.473892773317952e-05, + "loss": 7.2337, + "loss/crossentropy": 1.8351454138755798, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.1995384581387043, + "step": 885 + }, + { + "epoch": 0.14766666666666667, + "grad_norm": 33.75, + "grad_norm_var": 26.454166666666666, + "learning_rate": 9.472723199190125e-05, + "loss": 7.3051, + "loss/crossentropy": 1.2930150479078293, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.16403597220778465, + "step": 886 + }, + { + "epoch": 0.14783333333333334, + "grad_norm": 2902458368.0, + "grad_norm_var": 5.2651652431394906e+17, + "learning_rate": 9.47155239883987e-05, + "loss": 8.8761, + "loss/crossentropy": 1.4680196046829224, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.2003433182835579, + "step": 887 + }, + { + "epoch": 0.148, + "grad_norm": 38.5, + "grad_norm_var": 5.2651652421720045e+17, + "learning_rate": 9.470380372588162e-05, + "loss": 7.361, + "loss/crossentropy": 1.9177829772233963, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.17988650873303413, + "step": 888 + }, + { + "epoch": 0.14816666666666667, + "grad_norm": 33.75, + "grad_norm_var": 5.265165241537092e+17, + "learning_rate": 9.46920712075632e-05, + "loss": 7.3953, + "loss/crossentropy": 1.8802359998226166, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.19930091500282288, + "step": 889 + }, + { + "epoch": 0.14833333333333334, + "grad_norm": 32.0, + "grad_norm_var": 5.2651652412045184e+17, + "learning_rate": 9.468032643665998e-05, + "loss": 7.5635, + "loss/crossentropy": 2.278567373752594, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.22147762402892113, + "step": 890 + }, + { + "epoch": 0.1485, + "grad_norm": 33.0, + "grad_norm_var": 5.2651652405393715e+17, + "learning_rate": 9.466856941639188e-05, + "loss": 7.3267, + "loss/crossentropy": 2.0632762610912323, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.18990402668714523, + "step": 891 + }, + { + "epoch": 0.14866666666666667, + "grad_norm": 31.375, + "grad_norm_var": 5.2651652401765645e+17, + "learning_rate": 9.465680014998213e-05, + "loss": 7.1451, + "loss/crossentropy": 1.4889424741268158, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.19683867692947388, + "step": 892 + }, + { + "epoch": 0.14883333333333335, + "grad_norm": 31.625, + "grad_norm_var": 5.2651652392090784e+17, + "learning_rate": 9.464501864065735e-05, + "loss": 7.2155, + "loss/crossentropy": 1.9928219020366669, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.17085601761937141, + "step": 893 + }, + { + "epoch": 0.149, + "grad_norm": 29.25, + "grad_norm_var": 5.26516523960212e+17, + "learning_rate": 9.46332248916475e-05, + "loss": 7.2801, + "loss/crossentropy": 1.4565714597702026, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.1648852750658989, + "step": 894 + }, + { + "epoch": 0.14916666666666667, + "grad_norm": 31.625, + "grad_norm_var": 5.265165240357968e+17, + "learning_rate": 9.46214189061859e-05, + "loss": 7.1637, + "loss/crossentropy": 2.0909490883350372, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.1700812503695488, + "step": 895 + }, + { + "epoch": 0.14933333333333335, + "grad_norm": 34.0, + "grad_norm_var": 5.2651652442279123e+17, + "learning_rate": 9.460960068750924e-05, + "loss": 7.0791, + "loss/crossentropy": 1.9466978311538696, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.19675631448626518, + "step": 896 + }, + { + "epoch": 0.1495, + "grad_norm": 33.0, + "grad_norm_var": 5.265165244409316e+17, + "learning_rate": 9.459777023885755e-05, + "loss": 7.3352, + "loss/crossentropy": 2.006341964006424, + "loss/hidden": 3.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.17353980988264084, + "step": 897 + }, + { + "epoch": 0.14966666666666667, + "grad_norm": 32.0, + "grad_norm_var": 5.265165243955807e+17, + "learning_rate": 9.458592756347419e-05, + "loss": 7.1341, + "loss/crossentropy": 2.1368420124053955, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.26709073036909103, + "step": 898 + }, + { + "epoch": 0.14983333333333335, + "grad_norm": 31.375, + "grad_norm_var": 5.265165243472064e+17, + "learning_rate": 9.457407266460593e-05, + "loss": 7.173, + "loss/crossentropy": 1.8693583607673645, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.15850002318620682, + "step": 899 + }, + { + "epoch": 0.15, + "grad_norm": 30.75, + "grad_norm_var": 5.2651652435022976e+17, + "learning_rate": 9.456220554550285e-05, + "loss": 7.3084, + "loss/crossentropy": 1.6289705336093903, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.14496482908725739, + "step": 900 + }, + { + "epoch": 0.15016666666666667, + "grad_norm": 37.25, + "grad_norm_var": 5.265165241930133e+17, + "learning_rate": 9.45503262094184e-05, + "loss": 7.1026, + "loss/crossentropy": 2.0200472474098206, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19197852537035942, + "step": 901 + }, + { + "epoch": 0.15033333333333335, + "grad_norm": 33.25, + "grad_norm_var": 5.265165242051069e+17, + "learning_rate": 9.453843465960933e-05, + "loss": 7.0761, + "loss/crossentropy": 2.1350898146629333, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.23190056532621384, + "step": 902 + }, + { + "epoch": 0.1505, + "grad_norm": 30.625, + "grad_norm_var": 5.628580729166667, + "learning_rate": 9.45265308993358e-05, + "loss": 7.2962, + "loss/crossentropy": 1.882240429520607, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.18290970101952553, + "step": 903 + }, + { + "epoch": 0.15066666666666667, + "grad_norm": 30.125, + "grad_norm_var": 3.5479166666666666, + "learning_rate": 9.451461493186129e-05, + "loss": 7.1687, + "loss/crossentropy": 2.004317596554756, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.19303890317678452, + "step": 904 + }, + { + "epoch": 0.15083333333333335, + "grad_norm": 31.875, + "grad_norm_var": 3.3770182291666666, + "learning_rate": 9.450268676045262e-05, + "loss": 7.2162, + "loss/crossentropy": 2.0007368624210358, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.16945723816752434, + "step": 905 + }, + { + "epoch": 0.151, + "grad_norm": 30.375, + "grad_norm_var": 3.5572916666666665, + "learning_rate": 9.449074638837999e-05, + "loss": 7.0704, + "loss/crossentropy": 1.30573008954525, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.15130788832902908, + "step": 906 + }, + { + "epoch": 0.15116666666666667, + "grad_norm": 28.875, + "grad_norm_var": 4.053580729166667, + "learning_rate": 9.447879381891692e-05, + "loss": 7.2743, + "loss/crossentropy": 2.307137757539749, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.17470206320285797, + "step": 907 + }, + { + "epoch": 0.15133333333333332, + "grad_norm": 29.875, + "grad_norm_var": 4.261393229166667, + "learning_rate": 9.446682905534023e-05, + "loss": 7.4444, + "loss/crossentropy": 2.1639389097690582, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.20223156735301018, + "step": 908 + }, + { + "epoch": 0.1515, + "grad_norm": 29.125, + "grad_norm_var": 4.6494140625, + "learning_rate": 9.445485210093017e-05, + "loss": 7.0866, + "loss/crossentropy": 2.106477588415146, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.19078096374869347, + "step": 909 + }, + { + "epoch": 0.15166666666666667, + "grad_norm": 29.0, + "grad_norm_var": 4.727018229166666, + "learning_rate": 9.444286295897028e-05, + "loss": 7.2998, + "loss/crossentropy": 1.8042952716350555, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.19603901356458664, + "step": 910 + }, + { + "epoch": 0.15183333333333332, + "grad_norm": 29.375, + "grad_norm_var": 4.989518229166666, + "learning_rate": 9.443086163274745e-05, + "loss": 7.2626, + "loss/crossentropy": 1.7532295882701874, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16379737108945847, + "step": 911 + }, + { + "epoch": 0.152, + "grad_norm": 29.875, + "grad_norm_var": 4.570572916666666, + "learning_rate": 9.44188481255519e-05, + "loss": 7.177, + "loss/crossentropy": 2.192300647497177, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.17354663461446762, + "step": 912 + }, + { + "epoch": 0.15216666666666667, + "grad_norm": 32.25, + "grad_norm_var": 4.410416666666666, + "learning_rate": 9.440682244067724e-05, + "loss": 7.2171, + "loss/crossentropy": 1.4452708065509796, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.1899765394628048, + "step": 913 + }, + { + "epoch": 0.15233333333333332, + "grad_norm": 34.5, + "grad_norm_var": 5.134375, + "learning_rate": 9.439478458142033e-05, + "loss": 7.3901, + "loss/crossentropy": 1.7175801694393158, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.23136239498853683, + "step": 914 + }, + { + "epoch": 0.1525, + "grad_norm": 30.875, + "grad_norm_var": 5.135416666666667, + "learning_rate": 9.438273455108144e-05, + "loss": 7.2527, + "loss/crossentropy": 2.262073040008545, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1802721694111824, + "step": 915 + }, + { + "epoch": 0.15266666666666667, + "grad_norm": 3590324224.0, + "grad_norm_var": 8.056517381102502e+17, + "learning_rate": 9.437067235296418e-05, + "loss": 8.8204, + "loss/crossentropy": 1.7655930519104004, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.16529207304120064, + "step": 916 + }, + { + "epoch": 0.15283333333333332, + "grad_norm": 40.25, + "grad_norm_var": 8.056517380204922e+17, + "learning_rate": 9.43585979903754e-05, + "loss": 7.2085, + "loss/crossentropy": 1.8950283229351044, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.20699721947312355, + "step": 917 + }, + { + "epoch": 0.153, + "grad_norm": 33.0, + "grad_norm_var": 8.05651738027972e+17, + "learning_rate": 9.434651146662543e-05, + "loss": 7.5518, + "loss/crossentropy": 2.4590421617031097, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.1780913919210434, + "step": 918 + }, + { + "epoch": 0.15316666666666667, + "grad_norm": 29.375, + "grad_norm_var": 8.056517380653713e+17, + "learning_rate": 9.433441278502783e-05, + "loss": 7.1849, + "loss/crossentropy": 2.6016831398010254, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.18316638097167015, + "step": 919 + }, + { + "epoch": 0.15333333333333332, + "grad_norm": 31.125, + "grad_norm_var": 8.056517380354518e+17, + "learning_rate": 9.43223019488995e-05, + "loss": 7.4292, + "loss/crossentropy": 2.240295112133026, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.19262642040848732, + "step": 920 + }, + { + "epoch": 0.1535, + "grad_norm": 31.5, + "grad_norm_var": 8.056517380466716e+17, + "learning_rate": 9.431017896156074e-05, + "loss": 7.4752, + "loss/crossentropy": 2.078158289194107, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1713547259569168, + "step": 921 + }, + { + "epoch": 0.15366666666666667, + "grad_norm": 31.875, + "grad_norm_var": 8.056517380017925e+17, + "learning_rate": 9.42980438263351e-05, + "loss": 7.6637, + "loss/crossentropy": 2.522828459739685, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.20312832668423653, + "step": 922 + }, + { + "epoch": 0.15383333333333332, + "grad_norm": 31.125, + "grad_norm_var": 8.05651737934474e+17, + "learning_rate": 9.428589654654951e-05, + "loss": 7.3971, + "loss/crossentropy": 2.212211459875107, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.23165380582213402, + "step": 923 + }, + { + "epoch": 0.154, + "grad_norm": 31.375, + "grad_norm_var": 8.056517378895949e+17, + "learning_rate": 9.42737371255342e-05, + "loss": 7.1652, + "loss/crossentropy": 1.238950178027153, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.20931247621774673, + "step": 924 + }, + { + "epoch": 0.15416666666666667, + "grad_norm": 32.5, + "grad_norm_var": 8.056517377886171e+17, + "learning_rate": 9.426156556662276e-05, + "loss": 7.2505, + "loss/crossentropy": 1.6552457213401794, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.1599828153848648, + "step": 925 + }, + { + "epoch": 0.15433333333333332, + "grad_norm": 32.0, + "grad_norm_var": 8.056517376988589e+17, + "learning_rate": 9.42493818731521e-05, + "loss": 7.1577, + "loss/crossentropy": 2.1574874818325043, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18953270465135574, + "step": 926 + }, + { + "epoch": 0.1545, + "grad_norm": 30.5, + "grad_norm_var": 8.056517376651996e+17, + "learning_rate": 9.423718604846243e-05, + "loss": 7.3593, + "loss/crossentropy": 1.9759330451488495, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1907046176493168, + "step": 927 + }, + { + "epoch": 0.15466666666666667, + "grad_norm": 31.25, + "grad_norm_var": 8.056517376240605e+17, + "learning_rate": 9.422497809589731e-05, + "loss": 7.2156, + "loss/crossentropy": 2.0266083776950836, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.239223662763834, + "step": 928 + }, + { + "epoch": 0.15483333333333332, + "grad_norm": 31.25, + "grad_norm_var": 8.056517376539799e+17, + "learning_rate": 9.421275801880362e-05, + "loss": 7.289, + "loss/crossentropy": 1.959371656179428, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.18589720129966736, + "step": 929 + }, + { + "epoch": 0.155, + "grad_norm": 33.5, + "grad_norm_var": 8.056517376838993e+17, + "learning_rate": 9.420052582053157e-05, + "loss": 7.1632, + "loss/crossentropy": 1.6841667294502258, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1735333874821663, + "step": 930 + }, + { + "epoch": 0.15516666666666667, + "grad_norm": 29.0, + "grad_norm_var": 8.056517377399981e+17, + "learning_rate": 9.418828150443469e-05, + "loss": 6.9572, + "loss/crossentropy": 1.8017113208770752, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.22501782700419426, + "step": 931 + }, + { + "epoch": 0.15533333333333332, + "grad_norm": 30.5, + "grad_norm_var": 6.336393229166666, + "learning_rate": 9.417602507386981e-05, + "loss": 7.1585, + "loss/crossentropy": 2.3576722145080566, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.17171021178364754, + "step": 932 + }, + { + "epoch": 0.1555, + "grad_norm": 32.75, + "grad_norm_var": 1.4848307291666667, + "learning_rate": 9.416375653219709e-05, + "loss": 7.14, + "loss/crossentropy": 1.5370495319366455, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.19083039835095406, + "step": 933 + }, + { + "epoch": 0.15566666666666668, + "grad_norm": 32.25, + "grad_norm_var": 1.3613932291666666, + "learning_rate": 9.415147588278005e-05, + "loss": 7.3455, + "loss/crossentropy": 2.0491169691085815, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.19669483602046967, + "step": 934 + }, + { + "epoch": 0.15583333333333332, + "grad_norm": 33.0, + "grad_norm_var": 1.2197916666666666, + "learning_rate": 9.413918312898551e-05, + "loss": 7.0114, + "loss/crossentropy": 1.5280220061540604, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.16729918867349625, + "step": 935 + }, + { + "epoch": 0.156, + "grad_norm": 31.0, + "grad_norm_var": 1.2285807291666666, + "learning_rate": 9.412687827418356e-05, + "loss": 7.0038, + "loss/crossentropy": 1.895880103111267, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16356949508190155, + "step": 936 + }, + { + "epoch": 0.15616666666666668, + "grad_norm": 31.625, + "grad_norm_var": 1.228125, + "learning_rate": 9.411456132174767e-05, + "loss": 7.0697, + "loss/crossentropy": 1.4379627853631973, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.15815794467926025, + "step": 937 + }, + { + "epoch": 0.15633333333333332, + "grad_norm": 32.5, + "grad_norm_var": 1.2759765625, + "learning_rate": 9.410223227505459e-05, + "loss": 7.3898, + "loss/crossentropy": 1.8750842809677124, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.17857589572668076, + "step": 938 + }, + { + "epoch": 0.1565, + "grad_norm": 29.125, + "grad_norm_var": 1.6613932291666667, + "learning_rate": 9.408989113748442e-05, + "loss": 7.1955, + "loss/crossentropy": 1.7537573277950287, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.20464301854372025, + "step": 939 + }, + { + "epoch": 0.15666666666666668, + "grad_norm": 32.5, + "grad_norm_var": 1.7205729166666666, + "learning_rate": 9.407753791242051e-05, + "loss": 7.2697, + "loss/crossentropy": 1.9765137135982513, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.18495013564825058, + "step": 940 + }, + { + "epoch": 0.15683333333333332, + "grad_norm": 29.875, + "grad_norm_var": 1.8285807291666667, + "learning_rate": 9.40651726032496e-05, + "loss": 6.9618, + "loss/crossentropy": 1.9569795429706573, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16958444565534592, + "step": 941 + }, + { + "epoch": 0.157, + "grad_norm": 31.125, + "grad_norm_var": 1.8080729166666667, + "learning_rate": 9.405279521336173e-05, + "loss": 7.1809, + "loss/crossentropy": 1.4055269658565521, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1510596126317978, + "step": 942 + }, + { + "epoch": 0.15716666666666668, + "grad_norm": 29.375, + "grad_norm_var": 2.0160807291666667, + "learning_rate": 9.404040574615018e-05, + "loss": 6.9664, + "loss/crossentropy": 1.967713549733162, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.17161940410733223, + "step": 943 + }, + { + "epoch": 0.15733333333333333, + "grad_norm": 32.75, + "grad_norm_var": 2.1488932291666667, + "learning_rate": 9.402800420501164e-05, + "loss": 7.2314, + "loss/crossentropy": 1.6457428634166718, + "loss/hidden": 3.76953125, + "loss/jsd": 0.0, + "loss/logits": 0.23352399468421936, + "step": 944 + }, + { + "epoch": 0.1575, + "grad_norm": 29.875, + "grad_norm_var": 2.29140625, + "learning_rate": 9.401559059334601e-05, + "loss": 7.1579, + "loss/crossentropy": 1.495479092001915, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.19215314090251923, + "step": 945 + }, + { + "epoch": 0.15766666666666668, + "grad_norm": 30.625, + "grad_norm_var": 1.9634765625, + "learning_rate": 9.400316491455661e-05, + "loss": 7.2171, + "loss/crossentropy": 1.8108823597431183, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.1718391627073288, + "step": 946 + }, + { + "epoch": 0.15783333333333333, + "grad_norm": 29.125, + "grad_norm_var": 1.9291666666666667, + "learning_rate": 9.399072717204995e-05, + "loss": 7.1178, + "loss/crossentropy": 2.2023033797740936, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.17143452540040016, + "step": 947 + }, + { + "epoch": 0.158, + "grad_norm": 33.25, + "grad_norm_var": 2.17265625, + "learning_rate": 9.397827736923596e-05, + "loss": 7.3485, + "loss/crossentropy": 2.208144634962082, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18023496493697166, + "step": 948 + }, + { + "epoch": 0.15816666666666668, + "grad_norm": 29.75, + "grad_norm_var": 2.15390625, + "learning_rate": 9.396581550952781e-05, + "loss": 7.2341, + "loss/crossentropy": 2.068796455860138, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1868870034813881, + "step": 949 + }, + { + "epoch": 0.15833333333333333, + "grad_norm": 30.75, + "grad_norm_var": 2.06640625, + "learning_rate": 9.395334159634199e-05, + "loss": 6.9557, + "loss/crossentropy": 1.999780148267746, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.19010787084698677, + "step": 950 + }, + { + "epoch": 0.1585, + "grad_norm": 33.5, + "grad_norm_var": 2.2143229166666667, + "learning_rate": 9.394085563309827e-05, + "loss": 7.1712, + "loss/crossentropy": 2.0135373175144196, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.2353024035692215, + "step": 951 + }, + { + "epoch": 0.15866666666666668, + "grad_norm": 30.25, + "grad_norm_var": 2.254166666666667, + "learning_rate": 9.392835762321977e-05, + "loss": 7.0585, + "loss/crossentropy": 1.9209633469581604, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.18967651948332787, + "step": 952 + }, + { + "epoch": 0.15883333333333333, + "grad_norm": 34.0, + "grad_norm_var": 2.8046223958333334, + "learning_rate": 9.391584757013289e-05, + "loss": 7.2089, + "loss/crossentropy": 1.7196340262889862, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.16397151723504066, + "step": 953 + }, + { + "epoch": 0.159, + "grad_norm": 28.75, + "grad_norm_var": 3.0077473958333334, + "learning_rate": 9.390332547726733e-05, + "loss": 7.1139, + "loss/crossentropy": 1.9726295173168182, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.15174923464655876, + "step": 954 + }, + { + "epoch": 0.15916666666666668, + "grad_norm": 28.375, + "grad_norm_var": 3.221809895833333, + "learning_rate": 9.389079134805609e-05, + "loss": 7.1402, + "loss/crossentropy": 2.0523089468479156, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.14974992722272873, + "step": 955 + }, + { + "epoch": 0.15933333333333333, + "grad_norm": 35.5, + "grad_norm_var": 4.437434895833333, + "learning_rate": 9.387824518593546e-05, + "loss": 7.2187, + "loss/crossentropy": 2.301606833934784, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.1863223984837532, + "step": 956 + }, + { + "epoch": 0.1595, + "grad_norm": 31.5, + "grad_norm_var": 4.346875, + "learning_rate": 9.386568699434508e-05, + "loss": 6.9746, + "loss/crossentropy": 2.2219241559505463, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.18025089800357819, + "step": 957 + }, + { + "epoch": 0.15966666666666668, + "grad_norm": 32.0, + "grad_norm_var": 4.391080729166666, + "learning_rate": 9.385311677672781e-05, + "loss": 7.1517, + "loss/crossentropy": 2.006164014339447, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.20917531847953796, + "step": 958 + }, + { + "epoch": 0.15983333333333333, + "grad_norm": 30.75, + "grad_norm_var": 4.17265625, + "learning_rate": 9.384053453652986e-05, + "loss": 7.2699, + "loss/crossentropy": 2.1049175560474396, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.19741756469011307, + "step": 959 + }, + { + "epoch": 0.16, + "grad_norm": 30.5, + "grad_norm_var": 4.053125, + "learning_rate": 9.382794027720073e-05, + "loss": 7.2579, + "loss/crossentropy": 2.1736232936382294, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1689480096101761, + "step": 960 + }, + { + "epoch": 0.16016666666666668, + "grad_norm": 31.125, + "grad_norm_var": 3.937239583333333, + "learning_rate": 9.381533400219318e-05, + "loss": 7.1442, + "loss/crossentropy": 1.8950579166412354, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1553553342819214, + "step": 961 + }, + { + "epoch": 0.16033333333333333, + "grad_norm": 30.0, + "grad_norm_var": 4.012434895833334, + "learning_rate": 9.380271571496334e-05, + "loss": 7.2108, + "loss/crossentropy": 1.5403998047113419, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.18360819295048714, + "step": 962 + }, + { + "epoch": 0.1605, + "grad_norm": 28.625, + "grad_norm_var": 4.166080729166667, + "learning_rate": 9.379008541897054e-05, + "loss": 7.2215, + "loss/crossentropy": 1.4331855326890945, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.21428582817316055, + "step": 963 + }, + { + "epoch": 0.16066666666666668, + "grad_norm": 31.375, + "grad_norm_var": 3.8643229166666666, + "learning_rate": 9.377744311767746e-05, + "loss": 7.086, + "loss/crossentropy": 1.837290346622467, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.18247783184051514, + "step": 964 + }, + { + "epoch": 0.16083333333333333, + "grad_norm": 30.5, + "grad_norm_var": 3.769791666666667, + "learning_rate": 9.376478881455009e-05, + "loss": 7.0426, + "loss/crossentropy": 2.4413352608680725, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.17528174817562103, + "step": 965 + }, + { + "epoch": 0.161, + "grad_norm": 32.25, + "grad_norm_var": 3.841666666666667, + "learning_rate": 9.375212251305763e-05, + "loss": 7.2408, + "loss/crossentropy": 1.86382594704628, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1978016346693039, + "step": 966 + }, + { + "epoch": 0.16116666666666668, + "grad_norm": 31.25, + "grad_norm_var": 3.4643229166666667, + "learning_rate": 9.373944421667265e-05, + "loss": 7.0779, + "loss/crossentropy": 1.6653753519058228, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1587580218911171, + "step": 967 + }, + { + "epoch": 0.16133333333333333, + "grad_norm": 32.0, + "grad_norm_var": 3.4697916666666666, + "learning_rate": 9.372675392887096e-05, + "loss": 7.4843, + "loss/crossentropy": 2.347218543291092, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.17683962360024452, + "step": 968 + }, + { + "epoch": 0.1615, + "grad_norm": 32.0, + "grad_norm_var": 2.9614583333333333, + "learning_rate": 9.371405165313169e-05, + "loss": 7.0695, + "loss/crossentropy": 1.6909139156341553, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.17361067980527878, + "step": 969 + }, + { + "epoch": 0.16166666666666665, + "grad_norm": 31.875, + "grad_norm_var": 2.6212890625, + "learning_rate": 9.370133739293723e-05, + "loss": 7.1812, + "loss/crossentropy": 1.865398108959198, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.22350451350212097, + "step": 970 + }, + { + "epoch": 0.16183333333333333, + "grad_norm": 31.75, + "grad_norm_var": 2.05, + "learning_rate": 9.368861115177327e-05, + "loss": 7.0703, + "loss/crossentropy": 1.7714774459600449, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.1964346505701542, + "step": 971 + }, + { + "epoch": 0.162, + "grad_norm": 33.75, + "grad_norm_var": 1.2934895833333333, + "learning_rate": 9.367587293312878e-05, + "loss": 7.1107, + "loss/crossentropy": 2.3415546119213104, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.18950436264276505, + "step": 972 + }, + { + "epoch": 0.16216666666666665, + "grad_norm": 30.375, + "grad_norm_var": 1.3468098958333334, + "learning_rate": 9.366312274049602e-05, + "loss": 7.1331, + "loss/crossentropy": 1.1628313958644867, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.1966600064188242, + "step": 973 + }, + { + "epoch": 0.16233333333333333, + "grad_norm": 32.25, + "grad_norm_var": 1.3754557291666667, + "learning_rate": 9.36503605773705e-05, + "loss": 6.9945, + "loss/crossentropy": 1.8536908328533173, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.15904531627893448, + "step": 974 + }, + { + "epoch": 0.1625, + "grad_norm": 32.25, + "grad_norm_var": 1.4113932291666667, + "learning_rate": 9.36375864472511e-05, + "loss": 7.4911, + "loss/crossentropy": 1.9807639420032501, + "loss/hidden": 3.79296875, + "loss/jsd": 0.0, + "loss/logits": 0.32628800719976425, + "step": 975 + }, + { + "epoch": 0.16266666666666665, + "grad_norm": 33.75, + "grad_norm_var": 1.6957682291666667, + "learning_rate": 9.362480035363986e-05, + "loss": 7.0892, + "loss/crossentropy": 1.8294160664081573, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.17708183079957962, + "step": 976 + }, + { + "epoch": 0.16283333333333333, + "grad_norm": 30.875, + "grad_norm_var": 1.7145182291666667, + "learning_rate": 9.36120023000422e-05, + "loss": 7.4688, + "loss/crossentropy": 2.1574412882328033, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17348594963550568, + "step": 977 + }, + { + "epoch": 0.163, + "grad_norm": 29.5, + "grad_norm_var": 1.8337890625, + "learning_rate": 9.359919228996674e-05, + "loss": 7.2222, + "loss/crossentropy": 1.945350557565689, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.18768493086099625, + "step": 978 + }, + { + "epoch": 0.16316666666666665, + "grad_norm": 30.375, + "grad_norm_var": 1.3488932291666667, + "learning_rate": 9.358637032692545e-05, + "loss": 7.2284, + "loss/crossentropy": 1.9553067982196808, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17745291441679, + "step": 979 + }, + { + "epoch": 0.16333333333333333, + "grad_norm": 33.0, + "grad_norm_var": 1.4580729166666666, + "learning_rate": 9.357353641443354e-05, + "loss": 7.3811, + "loss/crossentropy": 2.3098992109298706, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.17864799872040749, + "step": 980 + }, + { + "epoch": 0.1635, + "grad_norm": 33.5, + "grad_norm_var": 1.5268229166666667, + "learning_rate": 9.356069055600948e-05, + "loss": 7.2363, + "loss/crossentropy": 1.9222070574760437, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.2259671874344349, + "step": 981 + }, + { + "epoch": 0.16366666666666665, + "grad_norm": 30.125, + "grad_norm_var": 1.7160807291666667, + "learning_rate": 9.354783275517504e-05, + "loss": 7.1659, + "loss/crossentropy": 2.079308956861496, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.19740625843405724, + "step": 982 + }, + { + "epoch": 0.16383333333333333, + "grad_norm": 30.375, + "grad_norm_var": 1.8268229166666667, + "learning_rate": 9.353496301545529e-05, + "loss": 7.1756, + "loss/crossentropy": 1.689118355512619, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.18044323846697807, + "step": 983 + }, + { + "epoch": 0.164, + "grad_norm": 35.0, + "grad_norm_var": 2.4955729166666667, + "learning_rate": 9.352208134037851e-05, + "loss": 7.6591, + "loss/crossentropy": 2.4075648486614227, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.17038994655013084, + "step": 984 + }, + { + "epoch": 0.16416666666666666, + "grad_norm": 31.5, + "grad_norm_var": 2.505989583333333, + "learning_rate": 9.35091877334763e-05, + "loss": 7.3304, + "loss/crossentropy": 1.6309797316789627, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18557706847786903, + "step": 985 + }, + { + "epoch": 0.16433333333333333, + "grad_norm": 31.625, + "grad_norm_var": 2.5104166666666665, + "learning_rate": 9.349628219828349e-05, + "loss": 7.3376, + "loss/crossentropy": 1.7576228082180023, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.19469567760825157, + "step": 986 + }, + { + "epoch": 0.1645, + "grad_norm": 28.375, + "grad_norm_var": 3.278580729166667, + "learning_rate": 9.348336473833823e-05, + "loss": 7.2064, + "loss/crossentropy": 1.5236790180206299, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1657111458480358, + "step": 987 + }, + { + "epoch": 0.16466666666666666, + "grad_norm": 31.125, + "grad_norm_var": 2.9791666666666665, + "learning_rate": 9.347043535718192e-05, + "loss": 7.2516, + "loss/crossentropy": 1.9423125088214874, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.18766283243894577, + "step": 988 + }, + { + "epoch": 0.16483333333333333, + "grad_norm": 32.0, + "grad_norm_var": 2.9004557291666666, + "learning_rate": 9.34574940583592e-05, + "loss": 7.2238, + "loss/crossentropy": 2.072887897491455, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17064030840992928, + "step": 989 + }, + { + "epoch": 0.165, + "grad_norm": 29.0, + "grad_norm_var": 3.2796223958333335, + "learning_rate": 9.344454084541803e-05, + "loss": 7.2918, + "loss/crossentropy": 2.1878859102725983, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.2114771418273449, + "step": 990 + }, + { + "epoch": 0.16516666666666666, + "grad_norm": 32.0, + "grad_norm_var": 3.255143229166667, + "learning_rate": 9.343157572190957e-05, + "loss": 7.0094, + "loss/crossentropy": 2.0703546702861786, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17606284841895103, + "step": 991 + }, + { + "epoch": 0.16533333333333333, + "grad_norm": 31.5, + "grad_norm_var": 2.8613932291666666, + "learning_rate": 9.341859869138831e-05, + "loss": 7.1841, + "loss/crossentropy": 1.6200998723506927, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.1958397924900055, + "step": 992 + }, + { + "epoch": 0.1655, + "grad_norm": 34.25, + "grad_norm_var": 3.408072916666667, + "learning_rate": 9.340560975741197e-05, + "loss": 7.2225, + "loss/crossentropy": 2.042604982852936, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1897963061928749, + "step": 993 + }, + { + "epoch": 0.16566666666666666, + "grad_norm": 30.625, + "grad_norm_var": 3.194205729166667, + "learning_rate": 9.339260892354153e-05, + "loss": 7.1794, + "loss/crossentropy": 1.8934089541435242, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.19708381965756416, + "step": 994 + }, + { + "epoch": 0.16583333333333333, + "grad_norm": 38.25, + "grad_norm_var": 5.864322916666667, + "learning_rate": 9.337959619334125e-05, + "loss": 7.5795, + "loss/crossentropy": 1.9645236432552338, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.184968501329422, + "step": 995 + }, + { + "epoch": 0.166, + "grad_norm": 29.625, + "grad_norm_var": 6.133268229166666, + "learning_rate": 9.336657157037866e-05, + "loss": 7.067, + "loss/crossentropy": 1.8105159401893616, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.18072937428951263, + "step": 996 + }, + { + "epoch": 0.16616666666666666, + "grad_norm": 31.875, + "grad_norm_var": 5.930989583333333, + "learning_rate": 9.33535350582245e-05, + "loss": 7.1263, + "loss/crossentropy": 1.9204743206501007, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.1801401823759079, + "step": 997 + }, + { + "epoch": 0.16633333333333333, + "grad_norm": 31.25, + "grad_norm_var": 5.773372395833333, + "learning_rate": 9.334048666045285e-05, + "loss": 7.324, + "loss/crossentropy": 1.9125606715679169, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.181853249669075, + "step": 998 + }, + { + "epoch": 0.1665, + "grad_norm": 30.875, + "grad_norm_var": 5.695768229166666, + "learning_rate": 9.332742638064094e-05, + "loss": 7.0851, + "loss/crossentropy": 1.5902134627103806, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.15430122800171375, + "step": 999 + }, + { + "epoch": 0.16666666666666666, + "grad_norm": 29.0, + "grad_norm_var": 5.389518229166667, + "learning_rate": 9.331435422236938e-05, + "loss": 7.1695, + "loss/crossentropy": 2.58576363325119, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.17759808152914047, + "step": 1000 + }, + { + "epoch": 0.16683333333333333, + "grad_norm": 30.75, + "grad_norm_var": 5.417643229166667, + "learning_rate": 9.330127018922194e-05, + "loss": 7.2752, + "loss/crossentropy": 2.087014377117157, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.24709226936101913, + "step": 1001 + }, + { + "epoch": 0.167, + "grad_norm": 31.25, + "grad_norm_var": 5.414322916666666, + "learning_rate": 9.328817428478569e-05, + "loss": 7.4509, + "loss/crossentropy": 1.6802764534950256, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1839093528687954, + "step": 1002 + }, + { + "epoch": 0.16716666666666666, + "grad_norm": 30.625, + "grad_norm_var": 4.835416666666666, + "learning_rate": 9.327506651265095e-05, + "loss": 7.2616, + "loss/crossentropy": 1.66881962120533, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.19290011748671532, + "step": 1003 + }, + { + "epoch": 0.16733333333333333, + "grad_norm": 28.125, + "grad_norm_var": 5.547916666666667, + "learning_rate": 9.32619468764113e-05, + "loss": 7.1466, + "loss/crossentropy": 1.910039633512497, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.17122110351920128, + "step": 1004 + }, + { + "epoch": 0.1675, + "grad_norm": 31.625, + "grad_norm_var": 5.522330729166667, + "learning_rate": 9.324881537966354e-05, + "loss": 7.202, + "loss/crossentropy": 2.0192385017871857, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16851748898625374, + "step": 1005 + }, + { + "epoch": 0.16766666666666666, + "grad_norm": 30.25, + "grad_norm_var": 5.2384765625, + "learning_rate": 9.323567202600776e-05, + "loss": 7.1523, + "loss/crossentropy": 1.832692712545395, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.19196533411741257, + "step": 1006 + }, + { + "epoch": 0.16783333333333333, + "grad_norm": 31.5, + "grad_norm_var": 5.2119140625, + "learning_rate": 9.322251681904728e-05, + "loss": 7.1467, + "loss/crossentropy": 2.532587170600891, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1897234544157982, + "step": 1007 + }, + { + "epoch": 0.168, + "grad_norm": 32.5, + "grad_norm_var": 5.2962890625, + "learning_rate": 9.320934976238867e-05, + "loss": 6.9639, + "loss/crossentropy": 1.7438288033008575, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1728871464729309, + "step": 1008 + }, + { + "epoch": 0.16816666666666666, + "grad_norm": 29.875, + "grad_norm_var": 4.829166666666667, + "learning_rate": 9.319617085964176e-05, + "loss": 7.1181, + "loss/crossentropy": 2.017861932516098, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16254071705043316, + "step": 1009 + }, + { + "epoch": 0.16833333333333333, + "grad_norm": 29.75, + "grad_norm_var": 4.9353515625, + "learning_rate": 9.318298011441964e-05, + "loss": 7.2094, + "loss/crossentropy": 1.9356443881988525, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1496536247432232, + "step": 1010 + }, + { + "epoch": 0.1685, + "grad_norm": 33.75, + "grad_norm_var": 1.8931640625, + "learning_rate": 9.316977753033859e-05, + "loss": 7.2573, + "loss/crossentropy": 2.3118956387043, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.19966011494398117, + "step": 1011 + }, + { + "epoch": 0.16866666666666666, + "grad_norm": 30.625, + "grad_norm_var": 1.8004557291666667, + "learning_rate": 9.31565631110182e-05, + "loss": 6.9932, + "loss/crossentropy": 1.9621807038784027, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17853105068206787, + "step": 1012 + }, + { + "epoch": 0.16883333333333334, + "grad_norm": 30.75, + "grad_norm_var": 1.7260416666666667, + "learning_rate": 9.314333686008125e-05, + "loss": 7.3292, + "loss/crossentropy": 1.593971699476242, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.23572874069213867, + "step": 1013 + }, + { + "epoch": 0.169, + "grad_norm": 31.875, + "grad_norm_var": 1.7895182291666667, + "learning_rate": 9.313009878115381e-05, + "loss": 7.3445, + "loss/crossentropy": 2.31576144695282, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.21944650635123253, + "step": 1014 + }, + { + "epoch": 0.16916666666666666, + "grad_norm": 28.875, + "grad_norm_var": 2.0249348958333333, + "learning_rate": 9.31168488778652e-05, + "loss": 7.3206, + "loss/crossentropy": 1.6449679732322693, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16713885590434074, + "step": 1015 + }, + { + "epoch": 0.16933333333333334, + "grad_norm": 31.0, + "grad_norm_var": 1.8228515625, + "learning_rate": 9.310358715384793e-05, + "loss": 7.0185, + "loss/crossentropy": 1.6693122684955597, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.2041461020708084, + "step": 1016 + }, + { + "epoch": 0.1695, + "grad_norm": 31.25, + "grad_norm_var": 1.8337890625, + "learning_rate": 9.309031361273775e-05, + "loss": 7.1052, + "loss/crossentropy": 1.2949364483356476, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.16708527132868767, + "step": 1017 + }, + { + "epoch": 0.16966666666666666, + "grad_norm": 30.625, + "grad_norm_var": 1.825, + "learning_rate": 9.307702825817373e-05, + "loss": 7.3125, + "loss/crossentropy": 2.2340132296085358, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.18231170624494553, + "step": 1018 + }, + { + "epoch": 0.16983333333333334, + "grad_norm": 31.375, + "grad_norm_var": 1.84140625, + "learning_rate": 9.306373109379809e-05, + "loss": 7.1191, + "loss/crossentropy": 2.127659171819687, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.16875912249088287, + "step": 1019 + }, + { + "epoch": 0.17, + "grad_norm": 32.5, + "grad_norm_var": 1.4426432291666667, + "learning_rate": 9.305042212325634e-05, + "loss": 7.3397, + "loss/crossentropy": 2.045904368162155, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.18133864179253578, + "step": 1020 + }, + { + "epoch": 0.17016666666666666, + "grad_norm": 31.875, + "grad_norm_var": 1.4629557291666666, + "learning_rate": 9.30371013501972e-05, + "loss": 7.3434, + "loss/crossentropy": 2.24924436211586, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.24430305883288383, + "step": 1021 + }, + { + "epoch": 0.17033333333333334, + "grad_norm": 34.0, + "grad_norm_var": 1.8926432291666666, + "learning_rate": 9.302376877827263e-05, + "loss": 7.2228, + "loss/crossentropy": 1.7824518978595734, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.20318450778722763, + "step": 1022 + }, + { + "epoch": 0.1705, + "grad_norm": 32.0, + "grad_norm_var": 1.9160807291666666, + "learning_rate": 9.301042441113783e-05, + "loss": 7.1712, + "loss/crossentropy": 2.2989481389522552, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.21584442257881165, + "step": 1023 + }, + { + "epoch": 0.17066666666666666, + "grad_norm": 32.25, + "grad_norm_var": 1.8837890625, + "learning_rate": 9.299706825245126e-05, + "loss": 7.3148, + "loss/crossentropy": 2.2267412543296814, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.21536936983466148, + "step": 1024 + }, + { + "epoch": 0.17083333333333334, + "grad_norm": 29.375, + "grad_norm_var": 2.0009765625, + "learning_rate": 9.298370030587456e-05, + "loss": 7.1826, + "loss/crossentropy": 1.9287384748458862, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.15461841970682144, + "step": 1025 + }, + { + "epoch": 0.171, + "grad_norm": 31.25, + "grad_norm_var": 1.8181640625, + "learning_rate": 9.297032057507264e-05, + "loss": 7.1634, + "loss/crossentropy": 2.0097956359386444, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.2209189385175705, + "step": 1026 + }, + { + "epoch": 0.17116666666666666, + "grad_norm": 34.0, + "grad_norm_var": 1.8983723958333334, + "learning_rate": 9.295692906371363e-05, + "loss": 6.9612, + "loss/crossentropy": 2.0483106672763824, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.180673498660326, + "step": 1027 + }, + { + "epoch": 0.17133333333333334, + "grad_norm": 33.0, + "grad_norm_var": 1.98125, + "learning_rate": 9.294352577546888e-05, + "loss": 7.0964, + "loss/crossentropy": 1.5798965096473694, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1735404171049595, + "step": 1028 + }, + { + "epoch": 0.1715, + "grad_norm": 31.375, + "grad_norm_var": 1.9327473958333334, + "learning_rate": 9.293011071401298e-05, + "loss": 7.0009, + "loss/crossentropy": 2.467678666114807, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.16103530675172806, + "step": 1029 + }, + { + "epoch": 0.17166666666666666, + "grad_norm": 29.875, + "grad_norm_var": 2.1264973958333333, + "learning_rate": 9.291668388302374e-05, + "loss": 7.1786, + "loss/crossentropy": 1.899499461054802, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.19169988110661507, + "step": 1030 + }, + { + "epoch": 0.17183333333333334, + "grad_norm": 32.75, + "grad_norm_var": 1.6885416666666666, + "learning_rate": 9.290324528618224e-05, + "loss": 7.107, + "loss/crossentropy": 1.5165728628635406, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.22037753462791443, + "step": 1031 + }, + { + "epoch": 0.172, + "grad_norm": 30.625, + "grad_norm_var": 1.7363932291666666, + "learning_rate": 9.28897949271727e-05, + "loss": 7.3123, + "loss/crossentropy": 1.9432778656482697, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.2261851504445076, + "step": 1032 + }, + { + "epoch": 0.17216666666666666, + "grad_norm": 34.5, + "grad_norm_var": 2.176497395833333, + "learning_rate": 9.287633280968261e-05, + "loss": 7.2204, + "loss/crossentropy": 2.029956191778183, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.1663634330034256, + "step": 1033 + }, + { + "epoch": 0.17233333333333334, + "grad_norm": 31.375, + "grad_norm_var": 2.0780598958333334, + "learning_rate": 9.286285893740274e-05, + "loss": 7.1274, + "loss/crossentropy": 1.7812095880508423, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18223801627755165, + "step": 1034 + }, + { + "epoch": 0.1725, + "grad_norm": 33.5, + "grad_norm_var": 2.1809895833333335, + "learning_rate": 9.284937331402697e-05, + "loss": 7.3825, + "loss/crossentropy": 2.34644615650177, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.2404446192085743, + "step": 1035 + }, + { + "epoch": 0.17266666666666666, + "grad_norm": 30.875, + "grad_norm_var": 2.2681640625, + "learning_rate": 9.283587594325249e-05, + "loss": 7.4599, + "loss/crossentropy": 1.9660449028015137, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.23820456862449646, + "step": 1036 + }, + { + "epoch": 0.17283333333333334, + "grad_norm": 29.75, + "grad_norm_var": 2.596875, + "learning_rate": 9.282236682877967e-05, + "loss": 7.3944, + "loss/crossentropy": 2.454943358898163, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.18604904040694237, + "step": 1037 + }, + { + "epoch": 0.173, + "grad_norm": 30.25, + "grad_norm_var": 2.42890625, + "learning_rate": 9.280884597431212e-05, + "loss": 7.201, + "loss/crossentropy": 1.7944923341274261, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.19807931408286095, + "step": 1038 + }, + { + "epoch": 0.17316666666666666, + "grad_norm": 30.25, + "grad_norm_var": 2.54375, + "learning_rate": 9.279531338355666e-05, + "loss": 7.369, + "loss/crossentropy": 2.254125028848648, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18860766291618347, + "step": 1039 + }, + { + "epoch": 0.17333333333333334, + "grad_norm": 31.25, + "grad_norm_var": 2.5145833333333334, + "learning_rate": 9.27817690602233e-05, + "loss": 7.2031, + "loss/crossentropy": 1.7020633667707443, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.16921743378043175, + "step": 1040 + }, + { + "epoch": 0.1735, + "grad_norm": 33.75, + "grad_norm_var": 2.4712890625, + "learning_rate": 9.276821300802534e-05, + "loss": 7.4906, + "loss/crossentropy": 2.5524336099624634, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.21683865785598755, + "step": 1041 + }, + { + "epoch": 0.17366666666666666, + "grad_norm": 32.25, + "grad_norm_var": 2.463997395833333, + "learning_rate": 9.27546452306792e-05, + "loss": 7.1542, + "loss/crossentropy": 1.6130549311637878, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.16316590085625648, + "step": 1042 + }, + { + "epoch": 0.17383333333333334, + "grad_norm": 31.625, + "grad_norm_var": 2.13125, + "learning_rate": 9.274106573190459e-05, + "loss": 7.2674, + "loss/crossentropy": 2.2276190519332886, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.17132963985204697, + "step": 1043 + }, + { + "epoch": 0.174, + "grad_norm": 31.125, + "grad_norm_var": 2.0228515625, + "learning_rate": 9.272747451542441e-05, + "loss": 7.2025, + "loss/crossentropy": 2.537658542394638, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.15953578054904938, + "step": 1044 + }, + { + "epoch": 0.17416666666666666, + "grad_norm": 30.125, + "grad_norm_var": 2.153059895833333, + "learning_rate": 9.271387158496476e-05, + "loss": 7.3926, + "loss/crossentropy": 1.8676083832979202, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1780277006328106, + "step": 1045 + }, + { + "epoch": 0.17433333333333334, + "grad_norm": 32.25, + "grad_norm_var": 1.9934895833333333, + "learning_rate": 9.270025694425497e-05, + "loss": 7.1114, + "loss/crossentropy": 1.362665131688118, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2049396112561226, + "step": 1046 + }, + { + "epoch": 0.1745, + "grad_norm": 34.25, + "grad_norm_var": 2.3559895833333333, + "learning_rate": 9.268663059702753e-05, + "loss": 7.298, + "loss/crossentropy": 1.7508555352687836, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.20855866745114326, + "step": 1047 + }, + { + "epoch": 0.17466666666666666, + "grad_norm": 29.625, + "grad_norm_var": 2.56640625, + "learning_rate": 9.267299254701824e-05, + "loss": 7.0742, + "loss/crossentropy": 1.7969558238983154, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17054210230708122, + "step": 1048 + }, + { + "epoch": 0.17483333333333334, + "grad_norm": 29.5, + "grad_norm_var": 2.2434895833333335, + "learning_rate": 9.265934279796602e-05, + "loss": 7.1526, + "loss/crossentropy": 2.483209639787674, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.18839319422841072, + "step": 1049 + }, + { + "epoch": 0.175, + "grad_norm": 33.75, + "grad_norm_var": 2.6009765625, + "learning_rate": 9.264568135361302e-05, + "loss": 6.9266, + "loss/crossentropy": 1.7531154453754425, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.20728101953864098, + "step": 1050 + }, + { + "epoch": 0.17516666666666666, + "grad_norm": 33.75, + "grad_norm_var": 2.6712890625, + "learning_rate": 9.263200821770461e-05, + "loss": 7.1656, + "loss/crossentropy": 1.6701923459768295, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.15576695650815964, + "step": 1051 + }, + { + "epoch": 0.17533333333333334, + "grad_norm": 32.75, + "grad_norm_var": 2.72890625, + "learning_rate": 9.261832339398938e-05, + "loss": 6.9576, + "loss/crossentropy": 2.0287326872348785, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17575950920581818, + "step": 1052 + }, + { + "epoch": 0.1755, + "grad_norm": 32.25, + "grad_norm_var": 2.4893229166666666, + "learning_rate": 9.260462688621905e-05, + "loss": 7.4147, + "loss/crossentropy": 2.1414792835712433, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.22248150035738945, + "step": 1053 + }, + { + "epoch": 0.17566666666666667, + "grad_norm": 28.75, + "grad_norm_var": 2.939322916666667, + "learning_rate": 9.259091869814864e-05, + "loss": 7.1442, + "loss/crossentropy": 2.3280774652957916, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.16715997830033302, + "step": 1054 + }, + { + "epoch": 0.17583333333333334, + "grad_norm": 33.0, + "grad_norm_var": 2.879166666666667, + "learning_rate": 9.257719883353631e-05, + "loss": 7.29, + "loss/crossentropy": 2.034582108259201, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.20363850891590118, + "step": 1055 + }, + { + "epoch": 0.176, + "grad_norm": 31.75, + "grad_norm_var": 2.853125, + "learning_rate": 9.256346729614342e-05, + "loss": 7.5493, + "loss/crossentropy": 2.168720304965973, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.2940753549337387, + "step": 1056 + }, + { + "epoch": 0.17616666666666667, + "grad_norm": 31.0, + "grad_norm_var": 2.6497395833333335, + "learning_rate": 9.254972408973461e-05, + "loss": 7.2788, + "loss/crossentropy": 2.018580198287964, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.17006657645106316, + "step": 1057 + }, + { + "epoch": 0.17633333333333334, + "grad_norm": 30.75, + "grad_norm_var": 2.687239583333333, + "learning_rate": 9.253596921807759e-05, + "loss": 7.2668, + "loss/crossentropy": 2.0598830580711365, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.18338441848754883, + "step": 1058 + }, + { + "epoch": 0.1765, + "grad_norm": 30.375, + "grad_norm_var": 2.7875, + "learning_rate": 9.252220268494337e-05, + "loss": 7.0292, + "loss/crossentropy": 2.1577613055706024, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.21034742519259453, + "step": 1059 + }, + { + "epoch": 0.17666666666666667, + "grad_norm": 29.5, + "grad_norm_var": 3.0473307291666667, + "learning_rate": 9.250842449410611e-05, + "loss": 7.2715, + "loss/crossentropy": 1.483291283249855, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.15924222394824028, + "step": 1060 + }, + { + "epoch": 0.17683333333333334, + "grad_norm": 32.25, + "grad_norm_var": 2.951041666666667, + "learning_rate": 9.249463464934321e-05, + "loss": 7.3362, + "loss/crossentropy": 1.979320913553238, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.17921079322695732, + "step": 1061 + }, + { + "epoch": 0.177, + "grad_norm": 29.25, + "grad_norm_var": 3.2510416666666666, + "learning_rate": 9.248083315443518e-05, + "loss": 7.146, + "loss/crossentropy": 1.8284825682640076, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1878691166639328, + "step": 1062 + }, + { + "epoch": 0.17716666666666667, + "grad_norm": 28.875, + "grad_norm_var": 3.018684895833333, + "learning_rate": 9.246702001316583e-05, + "loss": 6.9519, + "loss/crossentropy": 1.9803139865398407, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.16849515587091446, + "step": 1063 + }, + { + "epoch": 0.17733333333333334, + "grad_norm": 31.25, + "grad_norm_var": 2.8705729166666667, + "learning_rate": 9.245319522932209e-05, + "loss": 7.333, + "loss/crossentropy": 1.8942987620830536, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.15474717319011688, + "step": 1064 + }, + { + "epoch": 0.1775, + "grad_norm": 31.375, + "grad_norm_var": 2.6723307291666667, + "learning_rate": 9.24393588066941e-05, + "loss": 7.3183, + "loss/crossentropy": 1.9049183428287506, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.1924520954489708, + "step": 1065 + }, + { + "epoch": 0.17766666666666667, + "grad_norm": 33.25, + "grad_norm_var": 2.5238932291666667, + "learning_rate": 9.242551074907519e-05, + "loss": 7.038, + "loss/crossentropy": 1.4033511132001877, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.19038311392068863, + "step": 1066 + }, + { + "epoch": 0.17783333333333334, + "grad_norm": 29.25, + "grad_norm_var": 2.294205729166667, + "learning_rate": 9.241165106026189e-05, + "loss": 6.9859, + "loss/crossentropy": 1.9976651966571808, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.1772223636507988, + "step": 1067 + }, + { + "epoch": 0.178, + "grad_norm": 31.875, + "grad_norm_var": 2.13515625, + "learning_rate": 9.239777974405393e-05, + "loss": 7.3643, + "loss/crossentropy": 1.8822968304157257, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.17623241245746613, + "step": 1068 + }, + { + "epoch": 0.17816666666666667, + "grad_norm": 30.625, + "grad_norm_var": 2.012434895833333, + "learning_rate": 9.238389680425416e-05, + "loss": 6.9632, + "loss/crossentropy": 1.845107764005661, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17053649201989174, + "step": 1069 + }, + { + "epoch": 0.17833333333333334, + "grad_norm": 29.875, + "grad_norm_var": 1.7809895833333333, + "learning_rate": 9.237000224466872e-05, + "loss": 6.9587, + "loss/crossentropy": 1.9095114171504974, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.18886420503258705, + "step": 1070 + }, + { + "epoch": 0.1785, + "grad_norm": 31.375, + "grad_norm_var": 1.4889973958333333, + "learning_rate": 9.235609606910687e-05, + "loss": 7.3356, + "loss/crossentropy": 2.0150366127490997, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.19185121729969978, + "step": 1071 + }, + { + "epoch": 0.17866666666666667, + "grad_norm": 30.125, + "grad_norm_var": 1.4458333333333333, + "learning_rate": 9.234217828138104e-05, + "loss": 7.094, + "loss/crossentropy": 2.384048730134964, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.17805096879601479, + "step": 1072 + }, + { + "epoch": 0.17883333333333334, + "grad_norm": 31.625, + "grad_norm_var": 1.4962890625, + "learning_rate": 9.23282488853069e-05, + "loss": 7.3047, + "loss/crossentropy": 2.1515243649482727, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17858536168932915, + "step": 1073 + }, + { + "epoch": 0.179, + "grad_norm": 30.625, + "grad_norm_var": 1.496875, + "learning_rate": 9.231430788470326e-05, + "loss": 7.1484, + "loss/crossentropy": 1.7612971067428589, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1948094740509987, + "step": 1074 + }, + { + "epoch": 0.17916666666666667, + "grad_norm": 32.75, + "grad_norm_var": 1.7405598958333333, + "learning_rate": 9.230035528339211e-05, + "loss": 7.3864, + "loss/crossentropy": 1.7598745822906494, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.2074742130935192, + "step": 1075 + }, + { + "epoch": 0.17933333333333334, + "grad_norm": 29.75, + "grad_norm_var": 1.6988932291666667, + "learning_rate": 9.228639108519868e-05, + "loss": 7.2073, + "loss/crossentropy": 2.006108194589615, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16674261540174484, + "step": 1076 + }, + { + "epoch": 0.1795, + "grad_norm": 31.25, + "grad_norm_var": 1.5791015625, + "learning_rate": 9.227241529395127e-05, + "loss": 7.2712, + "loss/crossentropy": 1.856663167476654, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.18792196735739708, + "step": 1077 + }, + { + "epoch": 0.17966666666666667, + "grad_norm": 31.0, + "grad_norm_var": 1.4041015625, + "learning_rate": 9.225842791348149e-05, + "loss": 7.1093, + "loss/crossentropy": 1.85087850689888, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.18496759235858917, + "step": 1078 + }, + { + "epoch": 0.17983333333333335, + "grad_norm": 33.75, + "grad_norm_var": 1.55390625, + "learning_rate": 9.224442894762401e-05, + "loss": 6.9361, + "loss/crossentropy": 2.15621554851532, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.17378008365631104, + "step": 1079 + }, + { + "epoch": 0.18, + "grad_norm": 33.25, + "grad_norm_var": 1.8080729166666667, + "learning_rate": 9.223041840021674e-05, + "loss": 7.1794, + "loss/crossentropy": 2.170605331659317, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.20242366567254066, + "step": 1080 + }, + { + "epoch": 0.18016666666666667, + "grad_norm": 26.625, + "grad_norm_var": 3.2083333333333335, + "learning_rate": 9.221639627510076e-05, + "loss": 7.226, + "loss/crossentropy": 2.1505748331546783, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16657578200101852, + "step": 1081 + }, + { + "epoch": 0.18033333333333335, + "grad_norm": 29.5, + "grad_norm_var": 2.9934895833333335, + "learning_rate": 9.220236257612031e-05, + "loss": 6.9384, + "loss/crossentropy": 1.895026445388794, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.19993529841303825, + "step": 1082 + }, + { + "epoch": 0.1805, + "grad_norm": 29.5, + "grad_norm_var": 2.9447916666666667, + "learning_rate": 9.21883173071228e-05, + "loss": 7.0944, + "loss/crossentropy": 1.5978422164916992, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.18047995120286942, + "step": 1083 + }, + { + "epoch": 0.18066666666666667, + "grad_norm": 28.5, + "grad_norm_var": 3.192643229166667, + "learning_rate": 9.217426047195882e-05, + "loss": 7.1514, + "loss/crossentropy": 2.0529713928699493, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1859581246972084, + "step": 1084 + }, + { + "epoch": 0.18083333333333335, + "grad_norm": 30.75, + "grad_norm_var": 3.193489583333333, + "learning_rate": 9.216019207448217e-05, + "loss": 7.2263, + "loss/crossentropy": 1.5950286090373993, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.22618724778294563, + "step": 1085 + }, + { + "epoch": 0.181, + "grad_norm": 32.75, + "grad_norm_var": 3.4166015625, + "learning_rate": 9.214611211854974e-05, + "loss": 7.1725, + "loss/crossentropy": 1.5778129696846008, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.17347296327352524, + "step": 1086 + }, + { + "epoch": 0.18116666666666667, + "grad_norm": 34.75, + "grad_norm_var": 4.378125, + "learning_rate": 9.213202060802161e-05, + "loss": 7.3177, + "loss/crossentropy": 1.625305026769638, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.21378153562545776, + "step": 1087 + }, + { + "epoch": 0.18133333333333335, + "grad_norm": 29.875, + "grad_norm_var": 4.412239583333333, + "learning_rate": 9.21179175467611e-05, + "loss": 7.1323, + "loss/crossentropy": 2.235830783843994, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.2603518143296242, + "step": 1088 + }, + { + "epoch": 0.1815, + "grad_norm": 30.75, + "grad_norm_var": 4.388997395833333, + "learning_rate": 9.210380293863462e-05, + "loss": 7.5201, + "loss/crossentropy": 1.9198448956012726, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.24537065252661705, + "step": 1089 + }, + { + "epoch": 0.18166666666666667, + "grad_norm": 32.0, + "grad_norm_var": 4.445572916666666, + "learning_rate": 9.208967678751177e-05, + "loss": 7.3548, + "loss/crossentropy": 1.76581409573555, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.21681368723511696, + "step": 1090 + }, + { + "epoch": 0.18183333333333335, + "grad_norm": 29.125, + "grad_norm_var": 4.443684895833333, + "learning_rate": 9.207553909726531e-05, + "loss": 7.1191, + "loss/crossentropy": 2.404295325279236, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.2112221121788025, + "step": 1091 + }, + { + "epoch": 0.182, + "grad_norm": 32.0, + "grad_norm_var": 4.438997395833334, + "learning_rate": 9.206138987177118e-05, + "loss": 7.4051, + "loss/crossentropy": 1.4287064969539642, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.2224784456193447, + "step": 1092 + }, + { + "epoch": 0.18216666666666667, + "grad_norm": 32.75, + "grad_norm_var": 4.637434895833334, + "learning_rate": 9.204722911490846e-05, + "loss": 7.3927, + "loss/crossentropy": 1.435084581375122, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.18473000265657902, + "step": 1093 + }, + { + "epoch": 0.18233333333333332, + "grad_norm": 28.875, + "grad_norm_var": 4.93515625, + "learning_rate": 9.20330568305594e-05, + "loss": 7.0767, + "loss/crossentropy": 2.334080159664154, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.19682832062244415, + "step": 1094 + }, + { + "epoch": 0.1825, + "grad_norm": 33.0, + "grad_norm_var": 4.6875, + "learning_rate": 9.201887302260943e-05, + "loss": 7.1086, + "loss/crossentropy": 1.6933359205722809, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1666032113134861, + "step": 1095 + }, + { + "epoch": 0.18266666666666667, + "grad_norm": 31.0, + "grad_norm_var": 4.29140625, + "learning_rate": 9.20046776949471e-05, + "loss": 7.0629, + "loss/crossentropy": 1.6405772268772125, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1735415756702423, + "step": 1096 + }, + { + "epoch": 0.18283333333333332, + "grad_norm": 28.375, + "grad_norm_var": 3.5239583333333333, + "learning_rate": 9.199047085146415e-05, + "loss": 7.0849, + "loss/crossentropy": 1.7923431545495987, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.16070173308253288, + "step": 1097 + }, + { + "epoch": 0.183, + "grad_norm": 34.5, + "grad_norm_var": 4.190625, + "learning_rate": 9.197625249605546e-05, + "loss": 7.2866, + "loss/crossentropy": 1.8078107237815857, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.19605600833892822, + "step": 1098 + }, + { + "epoch": 0.18316666666666667, + "grad_norm": 29.875, + "grad_norm_var": 4.1166015625, + "learning_rate": 9.196202263261908e-05, + "loss": 7.1108, + "loss/crossentropy": 1.8644693046808243, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.18539436906576157, + "step": 1099 + }, + { + "epoch": 0.18333333333333332, + "grad_norm": 29.75, + "grad_norm_var": 3.7676432291666666, + "learning_rate": 9.194778126505621e-05, + "loss": 7.2911, + "loss/crossentropy": 2.205755800008774, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.18408109992742538, + "step": 1100 + }, + { + "epoch": 0.1835, + "grad_norm": 31.75, + "grad_norm_var": 3.762434895833333, + "learning_rate": 9.193352839727121e-05, + "loss": 7.2636, + "loss/crossentropy": 2.352554678916931, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.2354946956038475, + "step": 1101 + }, + { + "epoch": 0.18366666666666667, + "grad_norm": 32.25, + "grad_norm_var": 3.682747395833333, + "learning_rate": 9.191926403317155e-05, + "loss": 7.1971, + "loss/crossentropy": 1.7942090779542923, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.17148781195282936, + "step": 1102 + }, + { + "epoch": 0.18383333333333332, + "grad_norm": 33.5, + "grad_norm_var": 3.2035807291666667, + "learning_rate": 9.190498817666793e-05, + "loss": 7.3706, + "loss/crossentropy": 2.0370034277439117, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.19766034930944443, + "step": 1103 + }, + { + "epoch": 0.184, + "grad_norm": 32.0, + "grad_norm_var": 3.107291666666667, + "learning_rate": 9.189070083167411e-05, + "loss": 7.2171, + "loss/crossentropy": 2.3304092288017273, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.15748042613267899, + "step": 1104 + }, + { + "epoch": 0.18416666666666667, + "grad_norm": 34.25, + "grad_norm_var": 3.595833333333333, + "learning_rate": 9.18764020021071e-05, + "loss": 7.1927, + "loss/crossentropy": 1.6049788445234299, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.17319898307323456, + "step": 1105 + }, + { + "epoch": 0.18433333333333332, + "grad_norm": 29.5, + "grad_norm_var": 3.840625, + "learning_rate": 9.186209169188695e-05, + "loss": 7.301, + "loss/crossentropy": 1.8717091083526611, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.19568662717938423, + "step": 1106 + }, + { + "epoch": 0.1845, + "grad_norm": 29.375, + "grad_norm_var": 3.7684895833333334, + "learning_rate": 9.184776990493695e-05, + "loss": 7.101, + "loss/crossentropy": 1.502578467130661, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.16818956658244133, + "step": 1107 + }, + { + "epoch": 0.18466666666666667, + "grad_norm": 30.75, + "grad_norm_var": 3.769791666666667, + "learning_rate": 9.183343664518348e-05, + "loss": 7.059, + "loss/crossentropy": 1.6985718607902527, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1569894440472126, + "step": 1108 + }, + { + "epoch": 0.18483333333333332, + "grad_norm": 29.875, + "grad_norm_var": 3.747330729166667, + "learning_rate": 9.181909191655612e-05, + "loss": 7.4008, + "loss/crossentropy": 2.136345535516739, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.18882112205028534, + "step": 1109 + }, + { + "epoch": 0.185, + "grad_norm": 30.375, + "grad_norm_var": 3.4301432291666667, + "learning_rate": 9.180473572298751e-05, + "loss": 7.0527, + "loss/crossentropy": 1.848597764968872, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1691058613359928, + "step": 1110 + }, + { + "epoch": 0.18516666666666667, + "grad_norm": 32.0, + "grad_norm_var": 3.2603515625, + "learning_rate": 9.179036806841353e-05, + "loss": 7.0831, + "loss/crossentropy": 1.4170871824026108, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.14410424046218395, + "step": 1111 + }, + { + "epoch": 0.18533333333333332, + "grad_norm": 31.75, + "grad_norm_var": 3.2759765625, + "learning_rate": 9.177598895677309e-05, + "loss": 7.2329, + "loss/crossentropy": 1.8506868183612823, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.18226511031389236, + "step": 1112 + }, + { + "epoch": 0.1855, + "grad_norm": 31.25, + "grad_norm_var": 2.693489583333333, + "learning_rate": 9.176159839200838e-05, + "loss": 7.3381, + "loss/crossentropy": 2.072927862405777, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1637607403099537, + "step": 1113 + }, + { + "epoch": 0.18566666666666667, + "grad_norm": 31.875, + "grad_norm_var": 2.0468098958333334, + "learning_rate": 9.17471963780646e-05, + "loss": 7.1197, + "loss/crossentropy": 1.9643321335315704, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.207236610352993, + "step": 1114 + }, + { + "epoch": 0.18583333333333332, + "grad_norm": 29.625, + "grad_norm_var": 2.096809895833333, + "learning_rate": 9.173278291889015e-05, + "loss": 7.1386, + "loss/crossentropy": 1.5390998721122742, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.2063824087381363, + "step": 1115 + }, + { + "epoch": 0.186, + "grad_norm": 30.5, + "grad_norm_var": 1.9827473958333333, + "learning_rate": 9.171835801843658e-05, + "loss": 7.2213, + "loss/crossentropy": 1.6902571022510529, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.2137136198580265, + "step": 1116 + }, + { + "epoch": 0.18616666666666667, + "grad_norm": 31.375, + "grad_norm_var": 1.9684895833333333, + "learning_rate": 9.170392168065857e-05, + "loss": 7.3127, + "loss/crossentropy": 1.8249911814928055, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.18652789294719696, + "step": 1117 + }, + { + "epoch": 0.18633333333333332, + "grad_norm": 31.5, + "grad_norm_var": 1.9052083333333334, + "learning_rate": 9.168947390951388e-05, + "loss": 7.4477, + "loss/crossentropy": 2.194087713956833, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1758115589618683, + "step": 1118 + }, + { + "epoch": 0.1865, + "grad_norm": 32.5, + "grad_norm_var": 1.6635416666666667, + "learning_rate": 9.167501470896349e-05, + "loss": 7.2125, + "loss/crossentropy": 1.903648316860199, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.22230049595236778, + "step": 1119 + }, + { + "epoch": 0.18666666666666668, + "grad_norm": 30.5, + "grad_norm_var": 1.6354166666666667, + "learning_rate": 9.166054408297145e-05, + "loss": 6.9454, + "loss/crossentropy": 1.9314337074756622, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17697272449731827, + "step": 1120 + }, + { + "epoch": 0.18683333333333332, + "grad_norm": 31.75, + "grad_norm_var": 0.9635416666666666, + "learning_rate": 9.164606203550497e-05, + "loss": 6.9815, + "loss/crossentropy": 1.6089248955249786, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1548868641257286, + "step": 1121 + }, + { + "epoch": 0.187, + "grad_norm": 29.75, + "grad_norm_var": 0.9205729166666666, + "learning_rate": 9.16315685705344e-05, + "loss": 7.1347, + "loss/crossentropy": 2.285125106573105, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.17942291125655174, + "step": 1122 + }, + { + "epoch": 0.18716666666666668, + "grad_norm": 30.5, + "grad_norm_var": 0.7676432291666667, + "learning_rate": 9.161706369203317e-05, + "loss": 7.1366, + "loss/crossentropy": 2.4472318291664124, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1744411215186119, + "step": 1123 + }, + { + "epoch": 0.18733333333333332, + "grad_norm": 38.0, + "grad_norm_var": 3.8186848958333335, + "learning_rate": 9.160254740397791e-05, + "loss": 6.9888, + "loss/crossentropy": 1.8763768374919891, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.21799440681934357, + "step": 1124 + }, + { + "epoch": 0.1875, + "grad_norm": 38.0, + "grad_norm_var": 6.243489583333333, + "learning_rate": 9.158801971034832e-05, + "loss": 7.3653, + "loss/crossentropy": 1.765801727771759, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.17796454578638077, + "step": 1125 + }, + { + "epoch": 0.18766666666666668, + "grad_norm": 27.375, + "grad_norm_var": 7.437239583333334, + "learning_rate": 9.157348061512727e-05, + "loss": 7.2503, + "loss/crossentropy": 2.0462097227573395, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1838400550186634, + "step": 1126 + }, + { + "epoch": 0.18783333333333332, + "grad_norm": 30.875, + "grad_norm_var": 7.481184895833334, + "learning_rate": 9.15589301223007e-05, + "loss": 7.2894, + "loss/crossentropy": 1.8764572888612747, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1746368706226349, + "step": 1127 + }, + { + "epoch": 0.188, + "grad_norm": 29.375, + "grad_norm_var": 7.81640625, + "learning_rate": 9.154436823585777e-05, + "loss": 7.4764, + "loss/crossentropy": 2.09167617559433, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.19841239601373672, + "step": 1128 + }, + { + "epoch": 0.18816666666666668, + "grad_norm": 33.5, + "grad_norm_var": 8.04375, + "learning_rate": 9.152979495979063e-05, + "loss": 7.0105, + "loss/crossentropy": 2.3772284984588623, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.20802132412791252, + "step": 1129 + }, + { + "epoch": 0.18833333333333332, + "grad_norm": 30.125, + "grad_norm_var": 8.19140625, + "learning_rate": 9.151521029809469e-05, + "loss": 7.2106, + "loss/crossentropy": 1.7908346056938171, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16295769810676575, + "step": 1130 + }, + { + "epoch": 0.1885, + "grad_norm": 29.75, + "grad_norm_var": 8.159830729166666, + "learning_rate": 9.150061425476838e-05, + "loss": 7.2774, + "loss/crossentropy": 2.06538662314415, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.18629369512200356, + "step": 1131 + }, + { + "epoch": 0.18866666666666668, + "grad_norm": 30.25, + "grad_norm_var": 8.199934895833334, + "learning_rate": 9.14860068338133e-05, + "loss": 7.1022, + "loss/crossentropy": 1.7420377135276794, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.16735665872693062, + "step": 1132 + }, + { + "epoch": 0.18883333333333333, + "grad_norm": 31.875, + "grad_norm_var": 8.2025390625, + "learning_rate": 9.147138803923416e-05, + "loss": 7.1235, + "loss/crossentropy": 2.0508846938610077, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.19641846045851707, + "step": 1133 + }, + { + "epoch": 0.189, + "grad_norm": 31.875, + "grad_norm_var": 8.20625, + "learning_rate": 9.145675787503878e-05, + "loss": 7.0063, + "loss/crossentropy": 1.808214545249939, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.18140819668769836, + "step": 1134 + }, + { + "epoch": 0.18916666666666668, + "grad_norm": 29.125, + "grad_norm_var": 8.5244140625, + "learning_rate": 9.14421163452381e-05, + "loss": 7.0805, + "loss/crossentropy": 1.9267567694187164, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.173908282071352, + "step": 1135 + }, + { + "epoch": 0.18933333333333333, + "grad_norm": 29.375, + "grad_norm_var": 8.740625, + "learning_rate": 9.142746345384619e-05, + "loss": 7.2291, + "loss/crossentropy": 2.3334193527698517, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.19091741740703583, + "step": 1136 + }, + { + "epoch": 0.1895, + "grad_norm": 30.25, + "grad_norm_var": 8.8, + "learning_rate": 9.141279920488021e-05, + "loss": 7.2534, + "loss/crossentropy": 1.7937891334295273, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.21443713083863258, + "step": 1137 + }, + { + "epoch": 0.18966666666666668, + "grad_norm": 32.75, + "grad_norm_var": 8.7625, + "learning_rate": 9.139812360236046e-05, + "loss": 6.8188, + "loss/crossentropy": 1.6196817606687546, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.17185498401522636, + "step": 1138 + }, + { + "epoch": 0.18983333333333333, + "grad_norm": 30.375, + "grad_norm_var": 8.7791015625, + "learning_rate": 9.138343665031033e-05, + "loss": 7.1766, + "loss/crossentropy": 2.123296618461609, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18247639387845993, + "step": 1139 + }, + { + "epoch": 0.19, + "grad_norm": 33.25, + "grad_norm_var": 6.028059895833334, + "learning_rate": 9.136873835275633e-05, + "loss": 7.4101, + "loss/crossentropy": 2.2366713285446167, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.18965138494968414, + "step": 1140 + }, + { + "epoch": 0.19016666666666668, + "grad_norm": 39.0, + "grad_norm_var": 7.006184895833333, + "learning_rate": 9.135402871372808e-05, + "loss": 7.2896, + "loss/crossentropy": 1.8472765684127808, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.2029191255569458, + "step": 1141 + }, + { + "epoch": 0.19033333333333333, + "grad_norm": 29.5, + "grad_norm_var": 6.205989583333333, + "learning_rate": 9.133930773725834e-05, + "loss": 7.0556, + "loss/crossentropy": 1.9929293394088745, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.18635635823011398, + "step": 1142 + }, + { + "epoch": 0.1905, + "grad_norm": 30.125, + "grad_norm_var": 6.286458333333333, + "learning_rate": 9.132457542738292e-05, + "loss": 7.3807, + "loss/crossentropy": 2.107265204191208, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.21145625039935112, + "step": 1143 + }, + { + "epoch": 0.19066666666666668, + "grad_norm": 30.25, + "grad_norm_var": 6.1119140625, + "learning_rate": 9.130983178814077e-05, + "loss": 6.9327, + "loss/crossentropy": 1.7907715737819672, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.165031298995018, + "step": 1144 + }, + { + "epoch": 0.19083333333333333, + "grad_norm": 30.0, + "grad_norm_var": 5.867643229166666, + "learning_rate": 9.129507682357394e-05, + "loss": 6.9596, + "loss/crossentropy": 1.617067962884903, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.16396093368530273, + "step": 1145 + }, + { + "epoch": 0.191, + "grad_norm": 30.125, + "grad_norm_var": 5.867643229166666, + "learning_rate": 9.128031053772759e-05, + "loss": 7.1567, + "loss/crossentropy": 2.042255163192749, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.17112840339541435, + "step": 1146 + }, + { + "epoch": 0.19116666666666668, + "grad_norm": 30.875, + "grad_norm_var": 5.741666666666666, + "learning_rate": 9.126553293464998e-05, + "loss": 6.9984, + "loss/crossentropy": 1.9593432247638702, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16826363280415535, + "step": 1147 + }, + { + "epoch": 0.19133333333333333, + "grad_norm": 29.0, + "grad_norm_var": 5.995572916666666, + "learning_rate": 9.125074401839249e-05, + "loss": 6.9948, + "loss/crossentropy": 2.2592301964759827, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.16658739745616913, + "step": 1148 + }, + { + "epoch": 0.1915, + "grad_norm": 30.125, + "grad_norm_var": 6.008333333333334, + "learning_rate": 9.123594379300955e-05, + "loss": 7.1862, + "loss/crossentropy": 1.6581338793039322, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.16667338833212852, + "step": 1149 + }, + { + "epoch": 0.19166666666666668, + "grad_norm": 30.5, + "grad_norm_var": 5.966080729166666, + "learning_rate": 9.122113226255877e-05, + "loss": 7.3388, + "loss/crossentropy": 1.9912242591381073, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.1910179853439331, + "step": 1150 + }, + { + "epoch": 0.19183333333333333, + "grad_norm": 30.625, + "grad_norm_var": 5.748893229166667, + "learning_rate": 9.120630943110077e-05, + "loss": 7.321, + "loss/crossentropy": 1.9995951056480408, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.19255974143743515, + "step": 1151 + }, + { + "epoch": 0.192, + "grad_norm": 30.75, + "grad_norm_var": 5.567708333333333, + "learning_rate": 9.119147530269937e-05, + "loss": 7.077, + "loss/crossentropy": 1.5149144232273102, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.20727255195379257, + "step": 1152 + }, + { + "epoch": 0.19216666666666668, + "grad_norm": 30.75, + "grad_norm_var": 5.527083333333334, + "learning_rate": 9.117662988142138e-05, + "loss": 7.0772, + "loss/crossentropy": 1.6812386810779572, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.1707703210413456, + "step": 1153 + }, + { + "epoch": 0.19233333333333333, + "grad_norm": 29.75, + "grad_norm_var": 5.439583333333333, + "learning_rate": 9.116177317133676e-05, + "loss": 7.2581, + "loss/crossentropy": 1.8039521276950836, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.16479618102312088, + "step": 1154 + }, + { + "epoch": 0.1925, + "grad_norm": 29.625, + "grad_norm_var": 5.530989583333334, + "learning_rate": 9.114690517651859e-05, + "loss": 7.1133, + "loss/crossentropy": 2.065375417470932, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.2033587470650673, + "step": 1155 + }, + { + "epoch": 0.19266666666666668, + "grad_norm": 27.875, + "grad_norm_var": 5.645768229166666, + "learning_rate": 9.1132025901043e-05, + "loss": 7.2053, + "loss/crossentropy": 1.9802367985248566, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.18251686543226242, + "step": 1156 + }, + { + "epoch": 0.19283333333333333, + "grad_norm": 30.875, + "grad_norm_var": 0.62265625, + "learning_rate": 9.111713534898922e-05, + "loss": 7.0329, + "loss/crossentropy": 2.3393149971961975, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.17230282351374626, + "step": 1157 + }, + { + "epoch": 0.193, + "grad_norm": 30.625, + "grad_norm_var": 0.6197265625, + "learning_rate": 9.110223352443958e-05, + "loss": 7.2851, + "loss/crossentropy": 1.9267436563968658, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.28668438643217087, + "step": 1158 + }, + { + "epoch": 0.19316666666666665, + "grad_norm": 31.375, + "grad_norm_var": 0.7186848958333333, + "learning_rate": 9.108732043147952e-05, + "loss": 7.2434, + "loss/crossentropy": 2.1474104523658752, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.18150009214878082, + "step": 1159 + }, + { + "epoch": 0.19333333333333333, + "grad_norm": 31.625, + "grad_norm_var": 0.846875, + "learning_rate": 9.107239607419753e-05, + "loss": 7.2608, + "loss/crossentropy": 1.780912846326828, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.2125644087791443, + "step": 1160 + }, + { + "epoch": 0.1935, + "grad_norm": 30.25, + "grad_norm_var": 0.84140625, + "learning_rate": 9.105746045668521e-05, + "loss": 7.1664, + "loss/crossentropy": 2.1321937143802643, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.21302882954478264, + "step": 1161 + }, + { + "epoch": 0.19366666666666665, + "grad_norm": 32.25, + "grad_norm_var": 1.0749348958333333, + "learning_rate": 9.104251358303724e-05, + "loss": 7.2137, + "loss/crossentropy": 2.0404190123081207, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.18157971650362015, + "step": 1162 + }, + { + "epoch": 0.19383333333333333, + "grad_norm": 29.125, + "grad_norm_var": 1.1624348958333333, + "learning_rate": 9.102755545735141e-05, + "loss": 7.2329, + "loss/crossentropy": 2.299391061067581, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.19177229702472687, + "step": 1163 + }, + { + "epoch": 0.194, + "grad_norm": 32.5, + "grad_norm_var": 1.3119140625, + "learning_rate": 9.101258608372856e-05, + "loss": 6.7745, + "loss/crossentropy": 1.7725453078746796, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.18406648188829422, + "step": 1164 + }, + { + "epoch": 0.19416666666666665, + "grad_norm": 32.25, + "grad_norm_var": 1.4768229166666667, + "learning_rate": 9.099760546627261e-05, + "loss": 7.4388, + "loss/crossentropy": 1.3108851462602615, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.2418411336839199, + "step": 1165 + }, + { + "epoch": 0.19433333333333333, + "grad_norm": 30.75, + "grad_norm_var": 1.475, + "learning_rate": 9.098261360909064e-05, + "loss": 7.3005, + "loss/crossentropy": 1.936125248670578, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19612173736095428, + "step": 1166 + }, + { + "epoch": 0.1945, + "grad_norm": 32.5, + "grad_norm_var": 1.6791015625, + "learning_rate": 9.096761051629268e-05, + "loss": 7.1562, + "loss/crossentropy": 1.4025073796510696, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.24204819649457932, + "step": 1167 + }, + { + "epoch": 0.19466666666666665, + "grad_norm": 32.5, + "grad_norm_var": 1.8577473958333333, + "learning_rate": 9.095259619199197e-05, + "loss": 7.113, + "loss/crossentropy": 1.9666818380355835, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.15561643242835999, + "step": 1168 + }, + { + "epoch": 0.19483333333333333, + "grad_norm": 31.625, + "grad_norm_var": 1.8864583333333333, + "learning_rate": 9.093757064030473e-05, + "loss": 7.1962, + "loss/crossentropy": 1.8951291888952255, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.16155934892594814, + "step": 1169 + }, + { + "epoch": 0.195, + "grad_norm": 32.75, + "grad_norm_var": 1.9614583333333333, + "learning_rate": 9.092253386535032e-05, + "loss": 7.0512, + "loss/crossentropy": 2.00069323182106, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.21078437566757202, + "step": 1170 + }, + { + "epoch": 0.19516666666666665, + "grad_norm": 32.75, + "grad_norm_var": 1.9337890625, + "learning_rate": 9.090748587125118e-05, + "loss": 7.3379, + "loss/crossentropy": 1.8147540092468262, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18162329122424126, + "step": 1171 + }, + { + "epoch": 0.19533333333333333, + "grad_norm": 31.75, + "grad_norm_var": 1.0760416666666666, + "learning_rate": 9.089242666213276e-05, + "loss": 7.1343, + "loss/crossentropy": 1.1780397295951843, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18952900543808937, + "step": 1172 + }, + { + "epoch": 0.1955, + "grad_norm": 31.125, + "grad_norm_var": 1.0559895833333333, + "learning_rate": 9.087735624212365e-05, + "loss": 7.5651, + "loss/crossentropy": 1.9671280682086945, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.19969886913895607, + "step": 1173 + }, + { + "epoch": 0.19566666666666666, + "grad_norm": 30.375, + "grad_norm_var": 1.0927083333333334, + "learning_rate": 9.08622746153555e-05, + "loss": 7.2095, + "loss/crossentropy": 1.8983251750469208, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18222284317016602, + "step": 1174 + }, + { + "epoch": 0.19583333333333333, + "grad_norm": 31.125, + "grad_norm_var": 1.10390625, + "learning_rate": 9.084718178596301e-05, + "loss": 7.136, + "loss/crossentropy": 1.6355826556682587, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.16758504137396812, + "step": 1175 + }, + { + "epoch": 0.196, + "grad_norm": 31.5, + "grad_norm_var": 1.1041015625, + "learning_rate": 9.083207775808396e-05, + "loss": 7.0999, + "loss/crossentropy": 1.8894365727901459, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.148922236636281, + "step": 1176 + }, + { + "epoch": 0.19616666666666666, + "grad_norm": 33.5, + "grad_norm_var": 1.1921223958333333, + "learning_rate": 9.081696253585921e-05, + "loss": 7.1252, + "loss/crossentropy": 1.5044038444757462, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.1827947534620762, + "step": 1177 + }, + { + "epoch": 0.19633333333333333, + "grad_norm": 33.25, + "grad_norm_var": 1.3181640625, + "learning_rate": 9.080183612343268e-05, + "loss": 7.2547, + "loss/crossentropy": 2.507762134075165, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.19897131621837616, + "step": 1178 + }, + { + "epoch": 0.1965, + "grad_norm": 35.0, + "grad_norm_var": 1.3518229166666667, + "learning_rate": 9.078669852495138e-05, + "loss": 7.4047, + "loss/crossentropy": 2.420338422060013, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16582558676600456, + "step": 1179 + }, + { + "epoch": 0.19666666666666666, + "grad_norm": 31.5, + "grad_norm_var": 1.3747395833333333, + "learning_rate": 9.077154974456534e-05, + "loss": 7.5926, + "loss/crossentropy": 1.992502897977829, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.19241167977452278, + "step": 1180 + }, + { + "epoch": 0.19683333333333333, + "grad_norm": 30.625, + "grad_norm_var": 1.5160807291666667, + "learning_rate": 9.075638978642771e-05, + "loss": 7.1995, + "loss/crossentropy": 2.0394376814365387, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.21910645067691803, + "step": 1181 + }, + { + "epoch": 0.197, + "grad_norm": 32.75, + "grad_norm_var": 1.4223307291666667, + "learning_rate": 9.074121865469467e-05, + "loss": 7.1043, + "loss/crossentropy": 1.9757541120052338, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.14330443926155567, + "step": 1182 + }, + { + "epoch": 0.19716666666666666, + "grad_norm": 31.75, + "grad_norm_var": 1.4238932291666666, + "learning_rate": 9.072603635352548e-05, + "loss": 7.2873, + "loss/crossentropy": 1.9312621057033539, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.2252270206809044, + "step": 1183 + }, + { + "epoch": 0.19733333333333333, + "grad_norm": 28.5, + "grad_norm_var": 2.2197265625, + "learning_rate": 9.071084288708243e-05, + "loss": 7.0756, + "loss/crossentropy": 2.153540700674057, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.15975895151495934, + "step": 1184 + }, + { + "epoch": 0.1975, + "grad_norm": 31.125, + "grad_norm_var": 2.2514973958333333, + "learning_rate": 9.069563825953092e-05, + "loss": 7.3914, + "loss/crossentropy": 2.133886218070984, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.17746930941939354, + "step": 1185 + }, + { + "epoch": 0.19766666666666666, + "grad_norm": 33.5, + "grad_norm_var": 2.378059895833333, + "learning_rate": 9.068042247503936e-05, + "loss": 7.07, + "loss/crossentropy": 1.7272471189498901, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.17105481401085854, + "step": 1186 + }, + { + "epoch": 0.19783333333333333, + "grad_norm": 30.75, + "grad_norm_var": 2.3968098958333335, + "learning_rate": 9.066519553777926e-05, + "loss": 7.6655, + "loss/crossentropy": 1.818149596452713, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.1841256469488144, + "step": 1187 + }, + { + "epoch": 0.198, + "grad_norm": 33.0, + "grad_norm_var": 2.4931640625, + "learning_rate": 9.064995745192518e-05, + "loss": 7.251, + "loss/crossentropy": 2.0524714291095734, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.2640038914978504, + "step": 1188 + }, + { + "epoch": 0.19816666666666666, + "grad_norm": 31.25, + "grad_norm_var": 2.482291666666667, + "learning_rate": 9.06347082216547e-05, + "loss": 7.2448, + "loss/crossentropy": 1.6076558083295822, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.15441237948834896, + "step": 1189 + }, + { + "epoch": 0.19833333333333333, + "grad_norm": 31.25, + "grad_norm_var": 2.3587890625, + "learning_rate": 9.061944785114851e-05, + "loss": 7.2225, + "loss/crossentropy": 1.9840098321437836, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.18997471034526825, + "step": 1190 + }, + { + "epoch": 0.1985, + "grad_norm": 29.875, + "grad_norm_var": 2.5853515625, + "learning_rate": 9.060417634459031e-05, + "loss": 7.2616, + "loss/crossentropy": 2.2869492769241333, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.19546443223953247, + "step": 1191 + }, + { + "epoch": 0.19866666666666666, + "grad_norm": 31.25, + "grad_norm_var": 2.5999348958333335, + "learning_rate": 9.058889370616689e-05, + "loss": 7.1566, + "loss/crossentropy": 1.668163388967514, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.19207096099853516, + "step": 1192 + }, + { + "epoch": 0.19883333333333333, + "grad_norm": 27.875, + "grad_norm_var": 3.3059895833333335, + "learning_rate": 9.057359994006806e-05, + "loss": 6.8752, + "loss/crossentropy": 2.23806294798851, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1764606013894081, + "step": 1193 + }, + { + "epoch": 0.199, + "grad_norm": 29.875, + "grad_norm_var": 3.2093098958333335, + "learning_rate": 9.055829505048667e-05, + "loss": 7.2313, + "loss/crossentropy": 2.292779952287674, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1787671446800232, + "step": 1194 + }, + { + "epoch": 0.19916666666666666, + "grad_norm": 29.625, + "grad_norm_var": 2.321875, + "learning_rate": 9.054297904161868e-05, + "loss": 6.981, + "loss/crossentropy": 1.9182047843933105, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.15541740506887436, + "step": 1195 + }, + { + "epoch": 0.19933333333333333, + "grad_norm": 31.0, + "grad_norm_var": 2.2979166666666666, + "learning_rate": 9.052765191766304e-05, + "loss": 7.14, + "loss/crossentropy": 2.5357794165611267, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.15709705278277397, + "step": 1196 + }, + { + "epoch": 0.1995, + "grad_norm": 29.0, + "grad_norm_var": 2.5171223958333333, + "learning_rate": 9.051231368282177e-05, + "loss": 6.8715, + "loss/crossentropy": 1.8068018555641174, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1656156349927187, + "step": 1197 + }, + { + "epoch": 0.19966666666666666, + "grad_norm": 33.0, + "grad_norm_var": 2.5869140625, + "learning_rate": 9.049696434129994e-05, + "loss": 7.3377, + "loss/crossentropy": 2.0673095881938934, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.20430799946188927, + "step": 1198 + }, + { + "epoch": 0.19983333333333334, + "grad_norm": 31.75, + "grad_norm_var": 2.5869140625, + "learning_rate": 9.048160389730566e-05, + "loss": 7.2533, + "loss/crossentropy": 1.7730631232261658, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.18325388059020042, + "step": 1199 + }, + { + "epoch": 0.2, + "grad_norm": 30.625, + "grad_norm_var": 2.220572916666667, + "learning_rate": 9.046623235505007e-05, + "loss": 7.1952, + "loss/crossentropy": 1.7203770875930786, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1648796908557415, + "step": 1200 + }, + { + "epoch": 0.20016666666666666, + "grad_norm": 35.75, + "grad_norm_var": 3.682747395833333, + "learning_rate": 9.045084971874738e-05, + "loss": 7.1106, + "loss/crossentropy": 1.5943018049001694, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.2411169558763504, + "step": 1201 + }, + { + "epoch": 0.20033333333333334, + "grad_norm": 30.625, + "grad_norm_var": 3.321875, + "learning_rate": 9.043545599261481e-05, + "loss": 7.2039, + "loss/crossentropy": 1.7558506280183792, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.1825847439467907, + "step": 1202 + }, + { + "epoch": 0.2005, + "grad_norm": 29.75, + "grad_norm_var": 3.421875, + "learning_rate": 9.042005118087267e-05, + "loss": 7.2046, + "loss/crossentropy": 2.4395557641983032, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.16663893684744835, + "step": 1203 + }, + { + "epoch": 0.20066666666666666, + "grad_norm": 30.5, + "grad_norm_var": 3.1354166666666665, + "learning_rate": 9.040463528774423e-05, + "loss": 7.0709, + "loss/crossentropy": 1.9601179361343384, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1911269947886467, + "step": 1204 + }, + { + "epoch": 0.20083333333333334, + "grad_norm": 31.875, + "grad_norm_var": 3.1962890625, + "learning_rate": 9.038920831745587e-05, + "loss": 7.3041, + "loss/crossentropy": 1.9899678826332092, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.19194591417908669, + "step": 1205 + }, + { + "epoch": 0.201, + "grad_norm": 30.125, + "grad_norm_var": 3.215625, + "learning_rate": 9.0373770274237e-05, + "loss": 7.0464, + "loss/crossentropy": 1.7225709557533264, + "loss/hidden": 3.82421875, + "loss/jsd": 0.0, + "loss/logits": 0.27960826456546783, + "step": 1206 + }, + { + "epoch": 0.20116666666666666, + "grad_norm": 30.25, + "grad_norm_var": 3.1791015625, + "learning_rate": 9.035832116232001e-05, + "loss": 7.171, + "loss/crossentropy": 2.1983217895030975, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16688163951039314, + "step": 1207 + }, + { + "epoch": 0.20133333333333334, + "grad_norm": 31.0, + "grad_norm_var": 3.1681640625, + "learning_rate": 9.03428609859404e-05, + "loss": 7.2815, + "loss/crossentropy": 2.3588224053382874, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1658637374639511, + "step": 1208 + }, + { + "epoch": 0.2015, + "grad_norm": 32.25, + "grad_norm_var": 2.6645833333333333, + "learning_rate": 9.032738974933664e-05, + "loss": 7.3047, + "loss/crossentropy": 1.8783065527677536, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18188221007585526, + "step": 1209 + }, + { + "epoch": 0.20166666666666666, + "grad_norm": 30.75, + "grad_norm_var": 2.5738932291666665, + "learning_rate": 9.031190745675024e-05, + "loss": 6.9593, + "loss/crossentropy": 2.06480810046196, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1809498742222786, + "step": 1210 + }, + { + "epoch": 0.20183333333333334, + "grad_norm": 29.125, + "grad_norm_var": 2.6889973958333333, + "learning_rate": 9.029641411242579e-05, + "loss": 7.0686, + "loss/crossentropy": 1.860428050160408, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.192401971668005, + "step": 1211 + }, + { + "epoch": 0.202, + "grad_norm": 29.625, + "grad_norm_var": 2.8229166666666665, + "learning_rate": 9.028090972061088e-05, + "loss": 7.0726, + "loss/crossentropy": 1.8837276697158813, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17082658410072327, + "step": 1212 + }, + { + "epoch": 0.20216666666666666, + "grad_norm": 33.5, + "grad_norm_var": 2.888541666666667, + "learning_rate": 9.02653942855561e-05, + "loss": 6.9024, + "loss/crossentropy": 1.633382335305214, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1890016794204712, + "step": 1213 + }, + { + "epoch": 0.20233333333333334, + "grad_norm": 31.375, + "grad_norm_var": 2.6811848958333333, + "learning_rate": 9.024986781151512e-05, + "loss": 6.9439, + "loss/crossentropy": 2.256519138813019, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17529591172933578, + "step": 1214 + }, + { + "epoch": 0.2025, + "grad_norm": 30.375, + "grad_norm_var": 2.6947916666666667, + "learning_rate": 9.023433030274459e-05, + "loss": 7.0088, + "loss/crossentropy": 2.3222522139549255, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.17771752178668976, + "step": 1215 + }, + { + "epoch": 0.20266666666666666, + "grad_norm": 33.0, + "grad_norm_var": 2.8988932291666667, + "learning_rate": 9.021878176350423e-05, + "loss": 7.1987, + "loss/crossentropy": 1.9344107806682587, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.18068302050232887, + "step": 1216 + }, + { + "epoch": 0.20283333333333334, + "grad_norm": 32.25, + "grad_norm_var": 1.5608723958333333, + "learning_rate": 9.020322219805674e-05, + "loss": 7.2394, + "loss/crossentropy": 2.365844488143921, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.18970517069101334, + "step": 1217 + }, + { + "epoch": 0.203, + "grad_norm": 31.25, + "grad_norm_var": 1.5520833333333333, + "learning_rate": 9.018765161066787e-05, + "loss": 7.0407, + "loss/crossentropy": 2.0648479759693146, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.186686921864748, + "step": 1218 + }, + { + "epoch": 0.20316666666666666, + "grad_norm": 30.5, + "grad_norm_var": 1.4559895833333334, + "learning_rate": 9.017207000560639e-05, + "loss": 6.9439, + "loss/crossentropy": 2.0636188983917236, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.16850804537534714, + "step": 1219 + }, + { + "epoch": 0.20333333333333334, + "grad_norm": 4110417920.0, + "grad_norm_var": 1.0559709513111306e+18, + "learning_rate": 9.015647738714408e-05, + "loss": 8.1678, + "loss/crossentropy": 2.0369352400302887, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.1804703250527382, + "step": 1220 + }, + { + "epoch": 0.2035, + "grad_norm": 36.0, + "grad_norm_var": 1.0559709511698351e+18, + "learning_rate": 9.014087375955573e-05, + "loss": 7.1254, + "loss/crossentropy": 1.598555475473404, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.18450486287474632, + "step": 1221 + }, + { + "epoch": 0.20366666666666666, + "grad_norm": 33.25, + "grad_norm_var": 1.055970951062793e+18, + "learning_rate": 9.012525912711918e-05, + "loss": 7.2717, + "loss/crossentropy": 1.9923148155212402, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.16796409338712692, + "step": 1222 + }, + { + "epoch": 0.20383333333333334, + "grad_norm": 30.375, + "grad_norm_var": 1.0559709510585112e+18, + "learning_rate": 9.010963349411529e-05, + "loss": 6.9809, + "loss/crossentropy": 2.216012567281723, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.17009492218494415, + "step": 1223 + }, + { + "epoch": 0.204, + "grad_norm": 30.75, + "grad_norm_var": 1.0559709510670747e+18, + "learning_rate": 9.009399686482787e-05, + "loss": 7.2186, + "loss/crossentropy": 2.1924517452716827, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1893884502351284, + "step": 1224 + }, + { + "epoch": 0.20416666666666666, + "grad_norm": 28.375, + "grad_norm_var": 1.0559709511998068e+18, + "learning_rate": 9.007834924354383e-05, + "loss": 7.2308, + "loss/crossentropy": 2.026065707206726, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.18250852823257446, + "step": 1225 + }, + { + "epoch": 0.20433333333333334, + "grad_norm": 31.75, + "grad_norm_var": 1.0559709511655534e+18, + "learning_rate": 9.006269063455304e-05, + "loss": 7.1048, + "loss/crossentropy": 1.966538518667221, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16139357537031174, + "step": 1226 + }, + { + "epoch": 0.2045, + "grad_norm": 30.625, + "grad_norm_var": 1.0559709511141732e+18, + "learning_rate": 9.00470210421484e-05, + "loss": 6.9923, + "loss/crossentropy": 1.996876299381256, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.19332023710012436, + "step": 1227 + }, + { + "epoch": 0.20466666666666666, + "grad_norm": 33.25, + "grad_norm_var": 1.0559709509900044e+18, + "learning_rate": 9.003134047062579e-05, + "loss": 7.3161, + "loss/crossentropy": 1.58292955160141, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.2204379104077816, + "step": 1228 + }, + { + "epoch": 0.20483333333333334, + "grad_norm": 31.875, + "grad_norm_var": 1.0559709510456662e+18, + "learning_rate": 9.001564892428415e-05, + "loss": 7.1692, + "loss/crossentropy": 2.2697527706623077, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.2070455104112625, + "step": 1229 + }, + { + "epoch": 0.205, + "grad_norm": 28.75, + "grad_norm_var": 1.0559709511355816e+18, + "learning_rate": 8.999994640742543e-05, + "loss": 7.12, + "loss/crossentropy": 1.7404191195964813, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.15038799494504929, + "step": 1230 + }, + { + "epoch": 0.20516666666666666, + "grad_norm": 32.0, + "grad_norm_var": 1.0559709510799197e+18, + "learning_rate": 8.998423292435454e-05, + "loss": 7.4999, + "loss/crossentropy": 2.5046131014823914, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.29094114527106285, + "step": 1231 + }, + { + "epoch": 0.20533333333333334, + "grad_norm": 29.875, + "grad_norm_var": 1.0559709511869618e+18, + "learning_rate": 8.996850847937941e-05, + "loss": 7.2368, + "loss/crossentropy": 2.3570897579193115, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1517578884959221, + "step": 1232 + }, + { + "epoch": 0.2055, + "grad_norm": 30.5, + "grad_norm_var": 1.0559709512469055e+18, + "learning_rate": 8.995277307681099e-05, + "loss": 7.1228, + "loss/crossentropy": 1.816855400800705, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.17459191754460335, + "step": 1233 + }, + { + "epoch": 0.20566666666666666, + "grad_norm": 29.375, + "grad_norm_var": 1.0559709513111308e+18, + "learning_rate": 8.993702672096324e-05, + "loss": 6.9661, + "loss/crossentropy": 2.1051203310489655, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16508476063609123, + "step": 1234 + }, + { + "epoch": 0.20583333333333334, + "grad_norm": 29.0, + "grad_norm_var": 1.055970951362511e+18, + "learning_rate": 8.992126941615313e-05, + "loss": 7.2335, + "loss/crossentropy": 2.2150754928588867, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.16058878600597382, + "step": 1235 + }, + { + "epoch": 0.206, + "grad_norm": 29.25, + "grad_norm_var": 4.077083333333333, + "learning_rate": 8.990550116670057e-05, + "loss": 7.2624, + "loss/crossentropy": 2.2350084483623505, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1852153055369854, + "step": 1236 + }, + { + "epoch": 0.20616666666666666, + "grad_norm": 31.625, + "grad_norm_var": 2.3202473958333334, + "learning_rate": 8.988972197692855e-05, + "loss": 7.1009, + "loss/crossentropy": 2.1296741664409637, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1848640777170658, + "step": 1237 + }, + { + "epoch": 0.20633333333333334, + "grad_norm": 31.25, + "grad_norm_var": 1.8806640625, + "learning_rate": 8.987393185116302e-05, + "loss": 6.9537, + "loss/crossentropy": 1.489246904850006, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.15090622007846832, + "step": 1238 + }, + { + "epoch": 0.2065, + "grad_norm": 30.0, + "grad_norm_var": 1.89765625, + "learning_rate": 8.985813079373292e-05, + "loss": 6.84, + "loss/crossentropy": 2.0008981227874756, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1607687808573246, + "step": 1239 + }, + { + "epoch": 0.20666666666666667, + "grad_norm": 46.5, + "grad_norm_var": 17.89375, + "learning_rate": 8.98423188089702e-05, + "loss": 7.2512, + "loss/crossentropy": 1.7720806896686554, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1796865127980709, + "step": 1240 + }, + { + "epoch": 0.20683333333333334, + "grad_norm": 31.125, + "grad_norm_var": 17.220572916666665, + "learning_rate": 8.982649590120982e-05, + "loss": 7.2703, + "loss/crossentropy": 1.91971156001091, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.22106074169278145, + "step": 1241 + }, + { + "epoch": 0.207, + "grad_norm": 29.75, + "grad_norm_var": 17.449739583333333, + "learning_rate": 8.981066207478971e-05, + "loss": 7.208, + "loss/crossentropy": 1.9688372761011124, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.19603705033659935, + "step": 1242 + }, + { + "epoch": 0.20716666666666667, + "grad_norm": 38.0, + "grad_norm_var": 19.942643229166666, + "learning_rate": 8.97948173340508e-05, + "loss": 7.1766, + "loss/crossentropy": 2.0286186039447784, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.17995741963386536, + "step": 1243 + }, + { + "epoch": 0.20733333333333334, + "grad_norm": 29.125, + "grad_norm_var": 20.322916666666668, + "learning_rate": 8.977896168333702e-05, + "loss": 7.3233, + "loss/crossentropy": 1.7833180129528046, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.17228223755955696, + "step": 1244 + }, + { + "epoch": 0.2075, + "grad_norm": 32.5, + "grad_norm_var": 20.357747395833332, + "learning_rate": 8.976309512699528e-05, + "loss": 7.1613, + "loss/crossentropy": 1.5690025091171265, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.16183597594499588, + "step": 1245 + }, + { + "epoch": 0.20766666666666667, + "grad_norm": 29.5, + "grad_norm_var": 20.088997395833335, + "learning_rate": 8.97472176693755e-05, + "loss": 7.1242, + "loss/crossentropy": 1.9329344630241394, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16291601583361626, + "step": 1246 + }, + { + "epoch": 0.20783333333333334, + "grad_norm": 27.5, + "grad_norm_var": 21.256184895833332, + "learning_rate": 8.973132931483057e-05, + "loss": 7.1924, + "loss/crossentropy": 2.416533887386322, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.2108389437198639, + "step": 1247 + }, + { + "epoch": 0.208, + "grad_norm": 30.875, + "grad_norm_var": 21.0947265625, + "learning_rate": 8.971543006771636e-05, + "loss": 6.8263, + "loss/crossentropy": 1.3490639328956604, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.1566382423043251, + "step": 1248 + }, + { + "epoch": 0.20816666666666667, + "grad_norm": 32.75, + "grad_norm_var": 21.0759765625, + "learning_rate": 8.969951993239177e-05, + "loss": 7.2188, + "loss/crossentropy": 2.0470789074897766, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.18885283544659615, + "step": 1249 + }, + { + "epoch": 0.20833333333333334, + "grad_norm": 33.25, + "grad_norm_var": 20.783333333333335, + "learning_rate": 8.968359891321862e-05, + "loss": 7.3137, + "loss/crossentropy": 1.695669412612915, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.16367409750819206, + "step": 1250 + }, + { + "epoch": 0.2085, + "grad_norm": 29.0, + "grad_norm_var": 20.783333333333335, + "learning_rate": 8.966766701456177e-05, + "loss": 7.21, + "loss/crossentropy": 1.8349643051624298, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.15510903298854828, + "step": 1251 + }, + { + "epoch": 0.20866666666666667, + "grad_norm": 30.5, + "grad_norm_var": 20.42265625, + "learning_rate": 8.965172424078902e-05, + "loss": 6.8593, + "loss/crossentropy": 2.2177212834358215, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.23635417222976685, + "step": 1252 + }, + { + "epoch": 0.20883333333333334, + "grad_norm": 31.5, + "grad_norm_var": 20.431184895833333, + "learning_rate": 8.963577059627118e-05, + "loss": 7.1913, + "loss/crossentropy": 2.0282241106033325, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1659335009753704, + "step": 1253 + }, + { + "epoch": 0.209, + "grad_norm": 30.875, + "grad_norm_var": 20.480989583333333, + "learning_rate": 8.961980608538203e-05, + "loss": 7.1312, + "loss/crossentropy": 1.821393758058548, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.17700910940766335, + "step": 1254 + }, + { + "epoch": 0.20916666666666667, + "grad_norm": 28.125, + "grad_norm_var": 21.212434895833333, + "learning_rate": 8.960383071249836e-05, + "loss": 6.9964, + "loss/crossentropy": 1.136364832520485, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.16633517667651176, + "step": 1255 + }, + { + "epoch": 0.20933333333333334, + "grad_norm": 31.0, + "grad_norm_var": 6.116080729166667, + "learning_rate": 8.958784448199987e-05, + "loss": 6.9569, + "loss/crossentropy": 1.9695285856723785, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.16960721462965012, + "step": 1256 + }, + { + "epoch": 0.2095, + "grad_norm": 30.375, + "grad_norm_var": 6.134830729166667, + "learning_rate": 8.95718473982693e-05, + "loss": 7.2848, + "loss/crossentropy": 1.9908243119716644, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.20242078602313995, + "step": 1257 + }, + { + "epoch": 0.20966666666666667, + "grad_norm": 26.875, + "grad_norm_var": 7.09765625, + "learning_rate": 8.955583946569233e-05, + "loss": 7.1128, + "loss/crossentropy": 2.2287910878658295, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.15669751167297363, + "step": 1258 + }, + { + "epoch": 0.20983333333333334, + "grad_norm": 30.75, + "grad_norm_var": 3.359375, + "learning_rate": 8.95398206886576e-05, + "loss": 7.0646, + "loss/crossentropy": 1.508285030722618, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.19778892770409584, + "step": 1259 + }, + { + "epoch": 0.21, + "grad_norm": 30.25, + "grad_norm_var": 3.2650390625, + "learning_rate": 8.95237910715568e-05, + "loss": 7.1306, + "loss/crossentropy": 2.029755800962448, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.2042919136583805, + "step": 1260 + }, + { + "epoch": 0.21016666666666667, + "grad_norm": 30.875, + "grad_norm_var": 2.964583333333333, + "learning_rate": 8.950775061878453e-05, + "loss": 7.0133, + "loss/crossentropy": 1.8159136176109314, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1695379577577114, + "step": 1261 + }, + { + "epoch": 0.21033333333333334, + "grad_norm": 30.625, + "grad_norm_var": 2.9311848958333333, + "learning_rate": 8.949169933473833e-05, + "loss": 7.0799, + "loss/crossentropy": 2.2301661372184753, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.16201428323984146, + "step": 1262 + }, + { + "epoch": 0.2105, + "grad_norm": 31.875, + "grad_norm_var": 2.482291666666667, + "learning_rate": 8.94756372238188e-05, + "loss": 7.2399, + "loss/crossentropy": 2.077402353286743, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1858767345547676, + "step": 1263 + }, + { + "epoch": 0.21066666666666667, + "grad_norm": 31.625, + "grad_norm_var": 2.5455729166666665, + "learning_rate": 8.945956429042943e-05, + "loss": 7.1386, + "loss/crossentropy": 2.3105130195617676, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1865912601351738, + "step": 1264 + }, + { + "epoch": 0.21083333333333334, + "grad_norm": 30.875, + "grad_norm_var": 2.2379557291666665, + "learning_rate": 8.944348053897671e-05, + "loss": 6.9133, + "loss/crossentropy": 2.202511876821518, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1948540285229683, + "step": 1265 + }, + { + "epoch": 0.211, + "grad_norm": 30.125, + "grad_norm_var": 1.7122395833333333, + "learning_rate": 8.94273859738701e-05, + "loss": 7.4478, + "loss/crossentropy": 1.9073927849531174, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1643068753182888, + "step": 1266 + }, + { + "epoch": 0.21116666666666667, + "grad_norm": 30.375, + "grad_norm_var": 1.5869140625, + "learning_rate": 8.941128059952201e-05, + "loss": 7.1462, + "loss/crossentropy": 1.9705713391304016, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.20388410612940788, + "step": 1267 + }, + { + "epoch": 0.21133333333333335, + "grad_norm": 29.875, + "grad_norm_var": 1.6041666666666667, + "learning_rate": 8.939516442034781e-05, + "loss": 7.0554, + "loss/crossentropy": 1.5540541112422943, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.19841605052351952, + "step": 1268 + }, + { + "epoch": 0.2115, + "grad_norm": 31.375, + "grad_norm_var": 1.5863932291666667, + "learning_rate": 8.937903744076587e-05, + "loss": 7.0384, + "loss/crossentropy": 1.8669461160898209, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.17107466235756874, + "step": 1269 + }, + { + "epoch": 0.21166666666666667, + "grad_norm": 33.25, + "grad_norm_var": 2.099739583333333, + "learning_rate": 8.936289966519746e-05, + "loss": 7.0628, + "loss/crossentropy": 2.293793559074402, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.16051578521728516, + "step": 1270 + }, + { + "epoch": 0.21183333333333335, + "grad_norm": 30.0, + "grad_norm_var": 1.7218098958333334, + "learning_rate": 8.934675109806688e-05, + "loss": 6.8787, + "loss/crossentropy": 1.7225153595209122, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.14841681346297264, + "step": 1271 + }, + { + "epoch": 0.212, + "grad_norm": 28.75, + "grad_norm_var": 1.9280598958333333, + "learning_rate": 8.933059174380131e-05, + "loss": 6.9817, + "loss/crossentropy": 1.9311038553714752, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.17153063416481018, + "step": 1272 + }, + { + "epoch": 0.21216666666666667, + "grad_norm": 29.625, + "grad_norm_var": 1.9749348958333333, + "learning_rate": 8.931442160683094e-05, + "loss": 6.9697, + "loss/crossentropy": 2.2986189126968384, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.21446756273508072, + "step": 1273 + }, + { + "epoch": 0.21233333333333335, + "grad_norm": 30.0, + "grad_norm_var": 1.09765625, + "learning_rate": 8.929824069158894e-05, + "loss": 7.0315, + "loss/crossentropy": 1.823767900466919, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.16026857122778893, + "step": 1274 + }, + { + "epoch": 0.2125, + "grad_norm": 29.625, + "grad_norm_var": 1.1603515625, + "learning_rate": 8.928204900251136e-05, + "loss": 6.978, + "loss/crossentropy": 1.780413269996643, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1813862845301628, + "step": 1275 + }, + { + "epoch": 0.21266666666666667, + "grad_norm": 31.0, + "grad_norm_var": 1.1634765625, + "learning_rate": 8.926584654403724e-05, + "loss": 7.1789, + "loss/crossentropy": 2.35905060172081, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1954832375049591, + "step": 1276 + }, + { + "epoch": 0.21283333333333335, + "grad_norm": 27.125, + "grad_norm_var": 1.9134765625, + "learning_rate": 8.924963332060863e-05, + "loss": 6.8761, + "loss/crossentropy": 2.448783278465271, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.16067909821867943, + "step": 1277 + }, + { + "epoch": 0.213, + "grad_norm": 30.0, + "grad_norm_var": 1.9177083333333333, + "learning_rate": 8.92334093366704e-05, + "loss": 7.2586, + "loss/crossentropy": 2.08617702126503, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1942312866449356, + "step": 1278 + }, + { + "epoch": 0.21316666666666667, + "grad_norm": 32.25, + "grad_norm_var": 2.003059895833333, + "learning_rate": 8.92171745966705e-05, + "loss": 6.9743, + "loss/crossentropy": 2.039038360118866, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16942651197314262, + "step": 1279 + }, + { + "epoch": 0.21333333333333335, + "grad_norm": 30.25, + "grad_norm_var": 1.890625, + "learning_rate": 8.920092910505977e-05, + "loss": 7.0371, + "loss/crossentropy": 1.5313948392868042, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.17466925829648972, + "step": 1280 + }, + { + "epoch": 0.2135, + "grad_norm": 31.125, + "grad_norm_var": 1.9143229166666667, + "learning_rate": 8.9184672866292e-05, + "loss": 7.1395, + "loss/crossentropy": 1.695930540561676, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.1709824688732624, + "step": 1281 + }, + { + "epoch": 0.21366666666666667, + "grad_norm": 33.25, + "grad_norm_var": 2.4530598958333334, + "learning_rate": 8.916840588482392e-05, + "loss": 7.2622, + "loss/crossentropy": 2.192231595516205, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.2439628392457962, + "step": 1282 + }, + { + "epoch": 0.21383333333333332, + "grad_norm": 30.375, + "grad_norm_var": 2.4530598958333334, + "learning_rate": 8.915212816511522e-05, + "loss": 7.2052, + "loss/crossentropy": 1.8892233073711395, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.18108197301626205, + "step": 1283 + }, + { + "epoch": 0.214, + "grad_norm": 28.625, + "grad_norm_var": 2.653580729166667, + "learning_rate": 8.913583971162852e-05, + "loss": 7.0813, + "loss/crossentropy": 1.6332352757453918, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.15463052317500114, + "step": 1284 + }, + { + "epoch": 0.21416666666666667, + "grad_norm": 32.0, + "grad_norm_var": 2.758072916666667, + "learning_rate": 8.91195405288294e-05, + "loss": 7.0533, + "loss/crossentropy": 1.7594351768493652, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.17090722918510437, + "step": 1285 + }, + { + "epoch": 0.21433333333333332, + "grad_norm": 29.75, + "grad_norm_var": 2.218489583333333, + "learning_rate": 8.910323062118639e-05, + "loss": 7.0658, + "loss/crossentropy": 1.8605065047740936, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.20274737104773521, + "step": 1286 + }, + { + "epoch": 0.2145, + "grad_norm": 29.375, + "grad_norm_var": 2.262434895833333, + "learning_rate": 8.908690999317093e-05, + "loss": 7.0321, + "loss/crossentropy": 1.736699417233467, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.17047365754842758, + "step": 1287 + }, + { + "epoch": 0.21466666666666667, + "grad_norm": 30.25, + "grad_norm_var": 2.113997395833333, + "learning_rate": 8.90705786492574e-05, + "loss": 7.2169, + "loss/crossentropy": 1.8790197670459747, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.19407998397946358, + "step": 1288 + }, + { + "epoch": 0.21483333333333332, + "grad_norm": 32.75, + "grad_norm_var": 2.44765625, + "learning_rate": 8.905423659392316e-05, + "loss": 6.9602, + "loss/crossentropy": 1.623477280139923, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1775852032005787, + "step": 1289 + }, + { + "epoch": 0.215, + "grad_norm": 32.5, + "grad_norm_var": 2.6768229166666666, + "learning_rate": 8.903788383164846e-05, + "loss": 7.1997, + "loss/crossentropy": 1.8577570766210556, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1756720244884491, + "step": 1290 + }, + { + "epoch": 0.21516666666666667, + "grad_norm": 27.25, + "grad_norm_var": 3.3509765625, + "learning_rate": 8.90215203669165e-05, + "loss": 6.9301, + "loss/crossentropy": 1.453979104757309, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.1967424340546131, + "step": 1291 + }, + { + "epoch": 0.21533333333333332, + "grad_norm": 29.0, + "grad_norm_var": 3.465559895833333, + "learning_rate": 8.90051462042134e-05, + "loss": 6.8198, + "loss/crossentropy": 1.7568388879299164, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.16247447207570076, + "step": 1292 + }, + { + "epoch": 0.2155, + "grad_norm": 31.0, + "grad_norm_var": 2.72890625, + "learning_rate": 8.898876134802826e-05, + "loss": 7.2477, + "loss/crossentropy": 2.023082450032234, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.22672132402658463, + "step": 1293 + }, + { + "epoch": 0.21566666666666667, + "grad_norm": 30.5, + "grad_norm_var": 2.70390625, + "learning_rate": 8.897236580285308e-05, + "loss": 7.0852, + "loss/crossentropy": 1.9821708798408508, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.17430612444877625, + "step": 1294 + }, + { + "epoch": 0.21583333333333332, + "grad_norm": 3456106496.0, + "grad_norm_var": 7.46541993790031e+17, + "learning_rate": 8.895595957318277e-05, + "loss": 7.889, + "loss/crossentropy": 2.0135136544704437, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.17147020250558853, + "step": 1295 + }, + { + "epoch": 0.216, + "grad_norm": 34.5, + "grad_norm_var": 7.465419936676273e+17, + "learning_rate": 8.893954266351521e-05, + "loss": 7.2871, + "loss/crossentropy": 1.8673216104507446, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.1795753724873066, + "step": 1296 + }, + { + "epoch": 0.21616666666666667, + "grad_norm": 30.625, + "grad_norm_var": 7.465419936820276e+17, + "learning_rate": 8.892311507835119e-05, + "loss": 6.9809, + "loss/crossentropy": 1.622310757637024, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1428094319999218, + "step": 1297 + }, + { + "epoch": 0.21633333333333332, + "grad_norm": 31.0, + "grad_norm_var": 7.465419937468297e+17, + "learning_rate": 8.890667682219439e-05, + "loss": 7.2261, + "loss/crossentropy": 1.6714694499969482, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.1609114594757557, + "step": 1298 + }, + { + "epoch": 0.2165, + "grad_norm": 31.25, + "grad_norm_var": 7.465419937216289e+17, + "learning_rate": 8.889022789955151e-05, + "loss": 7.1802, + "loss/crossentropy": 1.7925153225660324, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1680547334253788, + "step": 1299 + }, + { + "epoch": 0.21666666666666667, + "grad_norm": 29.75, + "grad_norm_var": 7.465419936892279e+17, + "learning_rate": 8.887376831493205e-05, + "loss": 7.0988, + "loss/crossentropy": 1.8799127638339996, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.18989857286214828, + "step": 1300 + }, + { + "epoch": 0.21683333333333332, + "grad_norm": 31.5, + "grad_norm_var": 7.465419937036283e+17, + "learning_rate": 8.885729807284856e-05, + "loss": 7.128, + "loss/crossentropy": 2.1720742881298065, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1744670458137989, + "step": 1301 + }, + { + "epoch": 0.217, + "grad_norm": 29.75, + "grad_norm_var": 7.465419937036283e+17, + "learning_rate": 8.88408171778164e-05, + "loss": 6.9589, + "loss/crossentropy": 1.8701461553573608, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17912780493497849, + "step": 1302 + }, + { + "epoch": 0.21716666666666667, + "grad_norm": 35.5, + "grad_norm_var": 7.465419935272229e+17, + "learning_rate": 8.882432563435393e-05, + "loss": 7.179, + "loss/crossentropy": 1.9762914776802063, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.15697065368294716, + "step": 1303 + }, + { + "epoch": 0.21733333333333332, + "grad_norm": 33.0, + "grad_norm_var": 7.465419934480205e+17, + "learning_rate": 8.88078234469824e-05, + "loss": 7.2837, + "loss/crossentropy": 1.6388632953166962, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.2365618571639061, + "step": 1304 + }, + { + "epoch": 0.2175, + "grad_norm": 27.875, + "grad_norm_var": 7.465419935884248e+17, + "learning_rate": 8.879131062022598e-05, + "loss": 7.055, + "loss/crossentropy": 2.016745537519455, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.18361134082078934, + "step": 1305 + }, + { + "epoch": 0.21766666666666667, + "grad_norm": 28.875, + "grad_norm_var": 7.46541993692828e+17, + "learning_rate": 8.877478715861173e-05, + "loss": 7.0478, + "loss/crossentropy": 1.6777726411819458, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.16228575631976128, + "step": 1306 + }, + { + "epoch": 0.21783333333333332, + "grad_norm": 27.875, + "grad_norm_var": 7.465419936748274e+17, + "learning_rate": 8.875825306666968e-05, + "loss": 7.0864, + "loss/crossentropy": 2.0001308023929596, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17227338999509811, + "step": 1307 + }, + { + "epoch": 0.218, + "grad_norm": 31.25, + "grad_norm_var": 7.465419936100255e+17, + "learning_rate": 8.874170834893272e-05, + "loss": 6.9015, + "loss/crossentropy": 2.1420152485370636, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.18439536541700363, + "step": 1308 + }, + { + "epoch": 0.21816666666666668, + "grad_norm": 28.875, + "grad_norm_var": 7.465419936712273e+17, + "learning_rate": 8.872515300993669e-05, + "loss": 6.9725, + "loss/crossentropy": 1.688755840063095, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1641828790307045, + "step": 1309 + }, + { + "epoch": 0.21833333333333332, + "grad_norm": 29.25, + "grad_norm_var": 7.465419937072284e+17, + "learning_rate": 8.870858705422033e-05, + "loss": 7.2482, + "loss/crossentropy": 1.7820774614810944, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.20635435730218887, + "step": 1310 + }, + { + "epoch": 0.2185, + "grad_norm": 31.0, + "grad_norm_var": 4.7134765625, + "learning_rate": 8.869201048632532e-05, + "loss": 7.1116, + "loss/crossentropy": 2.4359863102436066, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.171052236109972, + "step": 1311 + }, + { + "epoch": 0.21866666666666668, + "grad_norm": 28.0, + "grad_norm_var": 4.097330729166667, + "learning_rate": 8.867542331079617e-05, + "loss": 6.9759, + "loss/crossentropy": 1.9924459159374237, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15327489376068115, + "step": 1312 + }, + { + "epoch": 0.21883333333333332, + "grad_norm": 27.125, + "grad_norm_var": 4.728059895833334, + "learning_rate": 8.865882553218037e-05, + "loss": 6.8873, + "loss/crossentropy": 1.9398671090602875, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16717145219445229, + "step": 1313 + }, + { + "epoch": 0.219, + "grad_norm": 29.0, + "grad_norm_var": 4.742643229166666, + "learning_rate": 8.864221715502829e-05, + "loss": 7.1442, + "loss/crossentropy": 1.866513729095459, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19265495613217354, + "step": 1314 + }, + { + "epoch": 0.21916666666666668, + "grad_norm": 30.125, + "grad_norm_var": 4.633072916666666, + "learning_rate": 8.862559818389322e-05, + "loss": 6.8746, + "loss/crossentropy": 2.090180605649948, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.16546057164669037, + "step": 1315 + }, + { + "epoch": 0.21933333333333332, + "grad_norm": 28.75, + "grad_norm_var": 4.718489583333334, + "learning_rate": 8.860896862333134e-05, + "loss": 7.1046, + "loss/crossentropy": 1.5242722928524017, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17156986892223358, + "step": 1316 + }, + { + "epoch": 0.2195, + "grad_norm": 31.875, + "grad_norm_var": 4.809309895833334, + "learning_rate": 8.859232847790175e-05, + "loss": 7.1799, + "loss/crossentropy": 2.030907988548279, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.20265229977667332, + "step": 1317 + }, + { + "epoch": 0.21966666666666668, + "grad_norm": 32.25, + "grad_norm_var": 5.1556640625, + "learning_rate": 8.857567775216643e-05, + "loss": 7.0625, + "loss/crossentropy": 1.4974164962768555, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.19254015013575554, + "step": 1318 + }, + { + "epoch": 0.21983333333333333, + "grad_norm": 29.75, + "grad_norm_var": 3.0353515625, + "learning_rate": 8.855901645069026e-05, + "loss": 7.0632, + "loss/crossentropy": 1.8093978762626648, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.16958339512348175, + "step": 1319 + }, + { + "epoch": 0.22, + "grad_norm": 31.875, + "grad_norm_var": 2.61640625, + "learning_rate": 8.854234457804105e-05, + "loss": 7.2982, + "loss/crossentropy": 2.2763660848140717, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.15304754674434662, + "step": 1320 + }, + { + "epoch": 0.22016666666666668, + "grad_norm": 31.25, + "grad_norm_var": 2.5478515625, + "learning_rate": 8.852566213878947e-05, + "loss": 7.1642, + "loss/crossentropy": 1.9220625162124634, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.25863387808203697, + "step": 1321 + }, + { + "epoch": 0.22033333333333333, + "grad_norm": 31.875, + "grad_norm_var": 2.7322265625, + "learning_rate": 8.850896913750911e-05, + "loss": 7.2231, + "loss/crossentropy": 2.248414307832718, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.21608459949493408, + "step": 1322 + }, + { + "epoch": 0.2205, + "grad_norm": 29.0, + "grad_norm_var": 2.49140625, + "learning_rate": 8.849226557877646e-05, + "loss": 6.8391, + "loss/crossentropy": 2.101841062307358, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.15087469294667244, + "step": 1323 + }, + { + "epoch": 0.22066666666666668, + "grad_norm": 28.625, + "grad_norm_var": 2.5119140625, + "learning_rate": 8.84755514671709e-05, + "loss": 7.2479, + "loss/crossentropy": 2.286454677581787, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1553141064941883, + "step": 1324 + }, + { + "epoch": 0.22083333333333333, + "grad_norm": 30.125, + "grad_norm_var": 2.436393229166667, + "learning_rate": 8.845882680727469e-05, + "loss": 6.9994, + "loss/crossentropy": 1.8056836128234863, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15853219106793404, + "step": 1325 + }, + { + "epoch": 0.221, + "grad_norm": 29.75, + "grad_norm_var": 2.4025390625, + "learning_rate": 8.844209160367299e-05, + "loss": 7.1668, + "loss/crossentropy": 2.037298232316971, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15290064364671707, + "step": 1326 + }, + { + "epoch": 0.22116666666666668, + "grad_norm": 32.25, + "grad_norm_var": 2.662955729166667, + "learning_rate": 8.842534586095383e-05, + "loss": 7.138, + "loss/crossentropy": 2.255521208047867, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.2043117769062519, + "step": 1327 + }, + { + "epoch": 0.22133333333333333, + "grad_norm": 30.0, + "grad_norm_var": 2.3525390625, + "learning_rate": 8.840858958370819e-05, + "loss": 6.9868, + "loss/crossentropy": 2.0564877092838287, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1763647273182869, + "step": 1328 + }, + { + "epoch": 0.2215, + "grad_norm": 27.75, + "grad_norm_var": 2.1184895833333335, + "learning_rate": 8.839182277652989e-05, + "loss": 6.9926, + "loss/crossentropy": 1.7821269035339355, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1580953113734722, + "step": 1329 + }, + { + "epoch": 0.22166666666666668, + "grad_norm": 32.5, + "grad_norm_var": 2.2934895833333333, + "learning_rate": 8.837504544401561e-05, + "loss": 7.1472, + "loss/crossentropy": 2.490646868944168, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.18042651563882828, + "step": 1330 + }, + { + "epoch": 0.22183333333333333, + "grad_norm": 29.25, + "grad_norm_var": 2.3832682291666667, + "learning_rate": 8.8358257590765e-05, + "loss": 6.8525, + "loss/crossentropy": 1.938695877790451, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16877496242523193, + "step": 1331 + }, + { + "epoch": 0.222, + "grad_norm": 29.25, + "grad_norm_var": 2.2869140625, + "learning_rate": 8.834145922138049e-05, + "loss": 7.2353, + "loss/crossentropy": 2.2627280354499817, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.19378405436873436, + "step": 1332 + }, + { + "epoch": 0.22216666666666668, + "grad_norm": 29.5, + "grad_norm_var": 2.191666666666667, + "learning_rate": 8.832465034046749e-05, + "loss": 6.9395, + "loss/crossentropy": 2.0226730406284332, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.16587254405021667, + "step": 1333 + }, + { + "epoch": 0.22233333333333333, + "grad_norm": 30.75, + "grad_norm_var": 1.9447916666666667, + "learning_rate": 8.830783095263425e-05, + "loss": 6.9216, + "loss/crossentropy": 1.714574009180069, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.16929889097809792, + "step": 1334 + }, + { + "epoch": 0.2225, + "grad_norm": 27.5, + "grad_norm_var": 2.4018229166666667, + "learning_rate": 8.829100106249189e-05, + "loss": 7.0172, + "loss/crossentropy": 1.7925970554351807, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.22310101985931396, + "step": 1335 + }, + { + "epoch": 0.22266666666666668, + "grad_norm": 30.875, + "grad_norm_var": 2.224739583333333, + "learning_rate": 8.827416067465441e-05, + "loss": 7.2243, + "loss/crossentropy": 2.161846488714218, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.1975463330745697, + "step": 1336 + }, + { + "epoch": 0.22283333333333333, + "grad_norm": 31.875, + "grad_norm_var": 2.3520182291666667, + "learning_rate": 8.825730979373872e-05, + "loss": 7.0193, + "loss/crossentropy": 1.779839664697647, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.1584184467792511, + "step": 1337 + }, + { + "epoch": 0.223, + "grad_norm": 29.875, + "grad_norm_var": 2.1166015625, + "learning_rate": 8.824044842436456e-05, + "loss": 7.2018, + "loss/crossentropy": 1.8944500386714935, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.1684500388801098, + "step": 1338 + }, + { + "epoch": 0.22316666666666668, + "grad_norm": 30.625, + "grad_norm_var": 2.080208333333333, + "learning_rate": 8.822357657115459e-05, + "loss": 7.2954, + "loss/crossentropy": 2.237246662378311, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.21640732139348984, + "step": 1339 + }, + { + "epoch": 0.22333333333333333, + "grad_norm": 29.125, + "grad_norm_var": 2.002083333333333, + "learning_rate": 8.82066942387343e-05, + "loss": 7.0554, + "loss/crossentropy": 2.0690477788448334, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.19336192682385445, + "step": 1340 + }, + { + "epoch": 0.2235, + "grad_norm": 27.125, + "grad_norm_var": 2.5395833333333333, + "learning_rate": 8.818980143173213e-05, + "loss": 7.2203, + "loss/crossentropy": 1.7061096876859665, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.18845251947641373, + "step": 1341 + }, + { + "epoch": 0.22366666666666668, + "grad_norm": 29.0, + "grad_norm_var": 2.5872395833333335, + "learning_rate": 8.817289815477928e-05, + "loss": 7.6896, + "loss/crossentropy": 1.5505743622779846, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.2833479270339012, + "step": 1342 + }, + { + "epoch": 0.22383333333333333, + "grad_norm": 28.375, + "grad_norm_var": 2.2744140625, + "learning_rate": 8.815598441250987e-05, + "loss": 7.0531, + "loss/crossentropy": 1.713552087545395, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.14133765175938606, + "step": 1343 + }, + { + "epoch": 0.224, + "grad_norm": 31.0, + "grad_norm_var": 2.3921223958333333, + "learning_rate": 8.813906020956097e-05, + "loss": 6.9316, + "loss/crossentropy": 2.2636399269104004, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16073094308376312, + "step": 1344 + }, + { + "epoch": 0.22416666666666665, + "grad_norm": 30.25, + "grad_norm_var": 2.1499348958333333, + "learning_rate": 8.81221255505724e-05, + "loss": 7.1873, + "loss/crossentropy": 2.3648778796195984, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.18794936686754227, + "step": 1345 + }, + { + "epoch": 0.22433333333333333, + "grad_norm": 30.125, + "grad_norm_var": 1.6489583333333333, + "learning_rate": 8.810518044018689e-05, + "loss": 7.2767, + "loss/crossentropy": 1.4827014207839966, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.1567552611231804, + "step": 1346 + }, + { + "epoch": 0.2245, + "grad_norm": 32.0, + "grad_norm_var": 1.97265625, + "learning_rate": 8.808822488305005e-05, + "loss": 7.1419, + "loss/crossentropy": 2.181717038154602, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17448044940829277, + "step": 1347 + }, + { + "epoch": 0.22466666666666665, + "grad_norm": 31.25, + "grad_norm_var": 2.068489583333333, + "learning_rate": 8.807125888381035e-05, + "loss": 7.3815, + "loss/crossentropy": 1.9000767469406128, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.19831407442688942, + "step": 1348 + }, + { + "epoch": 0.22483333333333333, + "grad_norm": 28.75, + "grad_norm_var": 2.1489583333333333, + "learning_rate": 8.80542824471191e-05, + "loss": 6.9805, + "loss/crossentropy": 1.9254313111305237, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.19930032268166542, + "step": 1349 + }, + { + "epoch": 0.225, + "grad_norm": 28.375, + "grad_norm_var": 2.2343098958333334, + "learning_rate": 8.803729557763047e-05, + "loss": 6.9941, + "loss/crossentropy": 1.7938042283058167, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.16836293041706085, + "step": 1350 + }, + { + "epoch": 0.22516666666666665, + "grad_norm": 30.5, + "grad_norm_var": 1.8936848958333334, + "learning_rate": 8.802029828000156e-05, + "loss": 7.2638, + "loss/crossentropy": 1.8875901997089386, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.18301720544695854, + "step": 1351 + }, + { + "epoch": 0.22533333333333333, + "grad_norm": 28.5, + "grad_norm_var": 1.9518229166666667, + "learning_rate": 8.800329055889223e-05, + "loss": 6.9781, + "loss/crossentropy": 1.7926859557628632, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19640637189149857, + "step": 1352 + }, + { + "epoch": 0.2255, + "grad_norm": 30.0, + "grad_norm_var": 1.6520182291666667, + "learning_rate": 8.798627241896524e-05, + "loss": 7.2083, + "loss/crossentropy": 2.0834586918354034, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.15520642697811127, + "step": 1353 + }, + { + "epoch": 0.22566666666666665, + "grad_norm": 33.75, + "grad_norm_var": 2.69140625, + "learning_rate": 8.796924386488624e-05, + "loss": 7.4726, + "loss/crossentropy": 1.8181260824203491, + "loss/hidden": 4.3125, + "loss/jsd": 0.0, + "loss/logits": 0.33195482194423676, + "step": 1354 + }, + { + "epoch": 0.22583333333333333, + "grad_norm": 31.25, + "grad_norm_var": 2.7744140625, + "learning_rate": 8.795220490132369e-05, + "loss": 7.0995, + "loss/crossentropy": 2.0270180106163025, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.1946832872927189, + "step": 1355 + }, + { + "epoch": 0.226, + "grad_norm": 29.125, + "grad_norm_var": 2.7744140625, + "learning_rate": 8.793515553294891e-05, + "loss": 7.0758, + "loss/crossentropy": 2.230189561843872, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.18500115722417831, + "step": 1356 + }, + { + "epoch": 0.22616666666666665, + "grad_norm": 29.875, + "grad_norm_var": 2.2072265625, + "learning_rate": 8.79180957644361e-05, + "loss": 7.0507, + "loss/crossentropy": 2.0787720680236816, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.16317469254136086, + "step": 1357 + }, + { + "epoch": 0.22633333333333333, + "grad_norm": 31.375, + "grad_norm_var": 2.201041666666667, + "learning_rate": 8.790102560046227e-05, + "loss": 7.1832, + "loss/crossentropy": 1.994160920381546, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1815122552216053, + "step": 1358 + }, + { + "epoch": 0.2265, + "grad_norm": 32.5, + "grad_norm_var": 2.216080729166667, + "learning_rate": 8.788394504570732e-05, + "loss": 7.5255, + "loss/crossentropy": 1.4656861275434494, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.20615416020154953, + "step": 1359 + }, + { + "epoch": 0.22666666666666666, + "grad_norm": 29.375, + "grad_norm_var": 2.28125, + "learning_rate": 8.786685410485398e-05, + "loss": 7.1196, + "loss/crossentropy": 1.8797804713249207, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.2133900672197342, + "step": 1360 + }, + { + "epoch": 0.22683333333333333, + "grad_norm": 29.75, + "grad_norm_var": 2.309375, + "learning_rate": 8.784975278258783e-05, + "loss": 7.158, + "loss/crossentropy": 1.7950632572174072, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16669543832540512, + "step": 1361 + }, + { + "epoch": 0.227, + "grad_norm": 30.25, + "grad_norm_var": 2.3056640625, + "learning_rate": 8.783264108359728e-05, + "loss": 6.8924, + "loss/crossentropy": 2.453521102666855, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1855342723429203, + "step": 1362 + }, + { + "epoch": 0.22716666666666666, + "grad_norm": 33.5, + "grad_norm_var": 2.7634765625, + "learning_rate": 8.78155190125736e-05, + "loss": 7.0847, + "loss/crossentropy": 1.6687047630548477, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.1837630569934845, + "step": 1363 + }, + { + "epoch": 0.22733333333333333, + "grad_norm": 30.25, + "grad_norm_var": 2.7270182291666667, + "learning_rate": 8.779838657421092e-05, + "loss": 7.1379, + "loss/crossentropy": 1.74602010846138, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1441764123737812, + "step": 1364 + }, + { + "epoch": 0.2275, + "grad_norm": 30.625, + "grad_norm_var": 2.5229166666666667, + "learning_rate": 8.778124377320618e-05, + "loss": 6.851, + "loss/crossentropy": 1.7809283435344696, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.16961202025413513, + "step": 1365 + }, + { + "epoch": 0.22766666666666666, + "grad_norm": 31.375, + "grad_norm_var": 2.2104166666666667, + "learning_rate": 8.776409061425919e-05, + "loss": 7.0813, + "loss/crossentropy": 2.079925984144211, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.183708768337965, + "step": 1366 + }, + { + "epoch": 0.22783333333333333, + "grad_norm": 30.375, + "grad_norm_var": 2.215559895833333, + "learning_rate": 8.774692710207257e-05, + "loss": 7.0477, + "loss/crossentropy": 1.804535448551178, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.19650908187031746, + "step": 1367 + }, + { + "epoch": 0.228, + "grad_norm": 33.0, + "grad_norm_var": 2.135872395833333, + "learning_rate": 8.772975324135179e-05, + "loss": 6.9129, + "loss/crossentropy": 1.7298943996429443, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15943126380443573, + "step": 1368 + }, + { + "epoch": 0.22816666666666666, + "grad_norm": 31.875, + "grad_norm_var": 2.099739583333333, + "learning_rate": 8.771256903680519e-05, + "loss": 7.2448, + "loss/crossentropy": 1.863993912935257, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16760018840432167, + "step": 1369 + }, + { + "epoch": 0.22833333333333333, + "grad_norm": 29.75, + "grad_norm_var": 1.7080729166666666, + "learning_rate": 8.769537449314391e-05, + "loss": 7.0922, + "loss/crossentropy": 1.688790649175644, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.1639144904911518, + "step": 1370 + }, + { + "epoch": 0.2285, + "grad_norm": 30.5, + "grad_norm_var": 1.7072916666666667, + "learning_rate": 8.76781696150819e-05, + "loss": 7.138, + "loss/crossentropy": 2.0839433670043945, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.21453265100717545, + "step": 1371 + }, + { + "epoch": 0.22866666666666666, + "grad_norm": 28.75, + "grad_norm_var": 1.8020182291666667, + "learning_rate": 8.766095440733601e-05, + "loss": 7.2556, + "loss/crossentropy": 1.6846605837345123, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.19930050894618034, + "step": 1372 + }, + { + "epoch": 0.22883333333333333, + "grad_norm": 30.625, + "grad_norm_var": 1.7426432291666667, + "learning_rate": 8.764372887462586e-05, + "loss": 7.0091, + "loss/crossentropy": 2.213774800300598, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.1519070602953434, + "step": 1373 + }, + { + "epoch": 0.229, + "grad_norm": 30.625, + "grad_norm_var": 1.7270182291666667, + "learning_rate": 8.762649302167395e-05, + "loss": 7.1046, + "loss/crossentropy": 2.119282454252243, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.18627038970589638, + "step": 1374 + }, + { + "epoch": 0.22916666666666666, + "grad_norm": 28.75, + "grad_norm_var": 1.7660807291666667, + "learning_rate": 8.760924685320557e-05, + "loss": 7.0487, + "loss/crossentropy": 1.7688325345516205, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.18404393270611763, + "step": 1375 + }, + { + "epoch": 0.22933333333333333, + "grad_norm": 28.625, + "grad_norm_var": 1.9223307291666667, + "learning_rate": 8.759199037394887e-05, + "loss": 7.0125, + "loss/crossentropy": 2.181953549385071, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.17447860911488533, + "step": 1376 + }, + { + "epoch": 0.2295, + "grad_norm": 32.25, + "grad_norm_var": 2.049934895833333, + "learning_rate": 8.757472358863481e-05, + "loss": 6.8112, + "loss/crossentropy": 2.0696641206741333, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1791696548461914, + "step": 1377 + }, + { + "epoch": 0.22966666666666666, + "grad_norm": 32.0, + "grad_norm_var": 2.137434895833333, + "learning_rate": 8.755744650199716e-05, + "loss": 7.1824, + "loss/crossentropy": 2.023148834705353, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.24435881525278091, + "step": 1378 + }, + { + "epoch": 0.22983333333333333, + "grad_norm": 28.625, + "grad_norm_var": 1.8708333333333333, + "learning_rate": 8.754015911877255e-05, + "loss": 6.9685, + "loss/crossentropy": 2.015488862991333, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1677897684276104, + "step": 1379 + }, + { + "epoch": 0.23, + "grad_norm": 28.5, + "grad_norm_var": 2.1205729166666667, + "learning_rate": 8.752286144370041e-05, + "loss": 7.0386, + "loss/crossentropy": 2.144385486841202, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18953008204698563, + "step": 1380 + }, + { + "epoch": 0.23016666666666666, + "grad_norm": 40.25, + "grad_norm_var": 8.211393229166667, + "learning_rate": 8.750555348152298e-05, + "loss": 7.2246, + "loss/crossentropy": 2.018937200307846, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19441290199756622, + "step": 1381 + }, + { + "epoch": 0.23033333333333333, + "grad_norm": 29.875, + "grad_norm_var": 8.275455729166667, + "learning_rate": 8.748823523698535e-05, + "loss": 6.8557, + "loss/crossentropy": 2.073577105998993, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14610829204320908, + "step": 1382 + }, + { + "epoch": 0.2305, + "grad_norm": 30.5, + "grad_norm_var": 8.267708333333333, + "learning_rate": 8.747090671483542e-05, + "loss": 7.1882, + "loss/crossentropy": 1.808563083410263, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.17777547240257263, + "step": 1383 + }, + { + "epoch": 0.23066666666666666, + "grad_norm": 30.5, + "grad_norm_var": 7.960416666666666, + "learning_rate": 8.745356791982391e-05, + "loss": 7.1564, + "loss/crossentropy": 1.7210944592952728, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.20695078000426292, + "step": 1384 + }, + { + "epoch": 0.23083333333333333, + "grad_norm": 31.875, + "grad_norm_var": 7.960416666666666, + "learning_rate": 8.74362188567043e-05, + "loss": 7.0791, + "loss/crossentropy": 1.6117003560066223, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1556633971631527, + "step": 1385 + }, + { + "epoch": 0.231, + "grad_norm": 30.125, + "grad_norm_var": 7.919205729166666, + "learning_rate": 8.741885953023301e-05, + "loss": 7.1246, + "loss/crossentropy": 1.8704611659049988, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2107059620320797, + "step": 1386 + }, + { + "epoch": 0.23116666666666666, + "grad_norm": 31.875, + "grad_norm_var": 7.987239583333333, + "learning_rate": 8.740148994516912e-05, + "loss": 7.0483, + "loss/crossentropy": 1.927421748638153, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1569875031709671, + "step": 1387 + }, + { + "epoch": 0.23133333333333334, + "grad_norm": 30.25, + "grad_norm_var": 7.705989583333333, + "learning_rate": 8.738411010627466e-05, + "loss": 7.227, + "loss/crossentropy": 2.1431739032268524, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.20422163233160973, + "step": 1388 + }, + { + "epoch": 0.2315, + "grad_norm": 30.375, + "grad_norm_var": 7.720833333333333, + "learning_rate": 8.736672001831438e-05, + "loss": 7.2047, + "loss/crossentropy": 1.5240344256162643, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.18182214722037315, + "step": 1389 + }, + { + "epoch": 0.23166666666666666, + "grad_norm": 30.5, + "grad_norm_var": 7.727018229166666, + "learning_rate": 8.734931968605589e-05, + "loss": 7.0559, + "loss/crossentropy": 1.6655289232730865, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.21631991863250732, + "step": 1390 + }, + { + "epoch": 0.23183333333333334, + "grad_norm": 29.0, + "grad_norm_var": 7.658268229166667, + "learning_rate": 8.733190911426958e-05, + "loss": 6.987, + "loss/crossentropy": 1.955703616142273, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.18248649686574936, + "step": 1391 + }, + { + "epoch": 0.232, + "grad_norm": 30.875, + "grad_norm_var": 7.278580729166666, + "learning_rate": 8.731448830772864e-05, + "loss": 6.9522, + "loss/crossentropy": 2.055171713232994, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.18208866566419601, + "step": 1392 + }, + { + "epoch": 0.23216666666666666, + "grad_norm": 29.0, + "grad_norm_var": 7.434309895833334, + "learning_rate": 8.729705727120911e-05, + "loss": 6.8244, + "loss/crossentropy": 1.920299768447876, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1761598140001297, + "step": 1393 + }, + { + "epoch": 0.23233333333333334, + "grad_norm": 30.0, + "grad_norm_var": 7.386393229166667, + "learning_rate": 8.72796160094898e-05, + "loss": 7.0279, + "loss/crossentropy": 2.074692815542221, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16406862065196037, + "step": 1394 + }, + { + "epoch": 0.2325, + "grad_norm": 31.75, + "grad_norm_var": 7.108072916666667, + "learning_rate": 8.726216452735232e-05, + "loss": 6.9423, + "loss/crossentropy": 2.3375765085220337, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.18264194950461388, + "step": 1395 + }, + { + "epoch": 0.23266666666666666, + "grad_norm": 31.5, + "grad_norm_var": 6.689322916666667, + "learning_rate": 8.724470282958111e-05, + "loss": 7.2743, + "loss/crossentropy": 2.2332785427570343, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.2182307466864586, + "step": 1396 + }, + { + "epoch": 0.23283333333333334, + "grad_norm": 27.625, + "grad_norm_var": 1.3171223958333333, + "learning_rate": 8.722723092096338e-05, + "loss": 7.0684, + "loss/crossentropy": 1.6890765130519867, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.22477268055081367, + "step": 1397 + }, + { + "epoch": 0.233, + "grad_norm": 27.875, + "grad_norm_var": 1.6942057291666666, + "learning_rate": 8.720974880628916e-05, + "loss": 6.95, + "loss/crossentropy": 1.2736570984125137, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.16321686282753944, + "step": 1398 + }, + { + "epoch": 0.23316666666666666, + "grad_norm": 30.625, + "grad_norm_var": 1.6997395833333333, + "learning_rate": 8.719225649035126e-05, + "loss": 6.9737, + "loss/crossentropy": 1.747178003191948, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1727956011891365, + "step": 1399 + }, + { + "epoch": 0.23333333333333334, + "grad_norm": 30.0, + "grad_norm_var": 1.69765625, + "learning_rate": 8.717475397794531e-05, + "loss": 7.2878, + "loss/crossentropy": 1.9532324075698853, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.18084821850061417, + "step": 1400 + }, + { + "epoch": 0.2335, + "grad_norm": 28.875, + "grad_norm_var": 1.59140625, + "learning_rate": 8.715724127386972e-05, + "loss": 7.0704, + "loss/crossentropy": 2.113216519355774, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.17437510937452316, + "step": 1401 + }, + { + "epoch": 0.23366666666666666, + "grad_norm": 28.75, + "grad_norm_var": 1.6895182291666666, + "learning_rate": 8.713971838292569e-05, + "loss": 6.9268, + "loss/crossentropy": 2.245711624622345, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.20107146725058556, + "step": 1402 + }, + { + "epoch": 0.23383333333333334, + "grad_norm": 33.25, + "grad_norm_var": 2.164322916666667, + "learning_rate": 8.712218530991723e-05, + "loss": 7.1208, + "loss/crossentropy": 1.730014443397522, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.22139248251914978, + "step": 1403 + }, + { + "epoch": 0.234, + "grad_norm": 29.75, + "grad_norm_var": 2.164322916666667, + "learning_rate": 8.710464205965112e-05, + "loss": 6.9937, + "loss/crossentropy": 1.6004100143909454, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.17204492911696434, + "step": 1404 + }, + { + "epoch": 0.23416666666666666, + "grad_norm": 28.25, + "grad_norm_var": 2.3358723958333334, + "learning_rate": 8.708708863693697e-05, + "loss": 7.0352, + "loss/crossentropy": 2.1264417320489883, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1658274382352829, + "step": 1405 + }, + { + "epoch": 0.23433333333333334, + "grad_norm": 31.375, + "grad_norm_var": 2.459375, + "learning_rate": 8.706952504658712e-05, + "loss": 7.1431, + "loss/crossentropy": 1.50221349298954, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.15783336013555527, + "step": 1406 + }, + { + "epoch": 0.2345, + "grad_norm": 28.5, + "grad_norm_var": 2.535416666666667, + "learning_rate": 8.705195129341672e-05, + "loss": 7.1194, + "loss/crossentropy": 2.049428880214691, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18712931126356125, + "step": 1407 + }, + { + "epoch": 0.23466666666666666, + "grad_norm": 28.5, + "grad_norm_var": 2.5712890625, + "learning_rate": 8.703436738224375e-05, + "loss": 6.9781, + "loss/crossentropy": 2.3455532789230347, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.22837577387690544, + "step": 1408 + }, + { + "epoch": 0.23483333333333334, + "grad_norm": 28.0, + "grad_norm_var": 2.7306640625, + "learning_rate": 8.701677331788891e-05, + "loss": 7.124, + "loss/crossentropy": 1.8043087422847748, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1597243696451187, + "step": 1409 + }, + { + "epoch": 0.235, + "grad_norm": 31.125, + "grad_norm_var": 2.86015625, + "learning_rate": 8.699916910517573e-05, + "loss": 7.0915, + "loss/crossentropy": 1.4584205448627472, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1846204549074173, + "step": 1410 + }, + { + "epoch": 0.23516666666666666, + "grad_norm": 31.0, + "grad_norm_var": 2.69375, + "learning_rate": 8.69815547489305e-05, + "loss": 7.2374, + "loss/crossentropy": 1.5898298174142838, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.16165027767419815, + "step": 1411 + }, + { + "epoch": 0.23533333333333334, + "grad_norm": 30.625, + "grad_norm_var": 2.530143229166667, + "learning_rate": 8.696393025398229e-05, + "loss": 6.9677, + "loss/crossentropy": 1.7190268635749817, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.17674877494573593, + "step": 1412 + }, + { + "epoch": 0.2355, + "grad_norm": 31.375, + "grad_norm_var": 2.405143229166667, + "learning_rate": 8.694629562516294e-05, + "loss": 7.121, + "loss/crossentropy": 1.7949635684490204, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.19067958369851112, + "step": 1413 + }, + { + "epoch": 0.23566666666666666, + "grad_norm": 29.875, + "grad_norm_var": 2.123893229166667, + "learning_rate": 8.692865086730713e-05, + "loss": 6.89, + "loss/crossentropy": 1.7350464463233948, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15222876518964767, + "step": 1414 + }, + { + "epoch": 0.23583333333333334, + "grad_norm": 29.625, + "grad_norm_var": 2.1020182291666667, + "learning_rate": 8.69109959852522e-05, + "loss": 6.9269, + "loss/crossentropy": 1.796377807855606, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15365470945835114, + "step": 1415 + }, + { + "epoch": 0.236, + "grad_norm": 30.125, + "grad_norm_var": 2.1041666666666665, + "learning_rate": 8.689333098383842e-05, + "loss": 7.0796, + "loss/crossentropy": 1.9770399034023285, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.198615200817585, + "step": 1416 + }, + { + "epoch": 0.23616666666666666, + "grad_norm": 26.875, + "grad_norm_var": 2.6375, + "learning_rate": 8.68756558679087e-05, + "loss": 7.0849, + "loss/crossentropy": 2.3155723810195923, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16964924335479736, + "step": 1417 + }, + { + "epoch": 0.23633333333333334, + "grad_norm": 28.625, + "grad_norm_var": 2.6561848958333334, + "learning_rate": 8.685797064230878e-05, + "loss": 7.1044, + "loss/crossentropy": 1.8613577038049698, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.17155513912439346, + "step": 1418 + }, + { + "epoch": 0.2365, + "grad_norm": 29.75, + "grad_norm_var": 1.8139973958333333, + "learning_rate": 8.684027531188717e-05, + "loss": 7.3211, + "loss/crossentropy": 2.1177275478839874, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.22781919687986374, + "step": 1419 + }, + { + "epoch": 0.23666666666666666, + "grad_norm": 28.75, + "grad_norm_var": 1.8546223958333334, + "learning_rate": 8.682256988149513e-05, + "loss": 6.9696, + "loss/crossentropy": 1.833871841430664, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.17683470249176025, + "step": 1420 + }, + { + "epoch": 0.23683333333333334, + "grad_norm": 28.5, + "grad_norm_var": 1.8160807291666667, + "learning_rate": 8.680485435598673e-05, + "loss": 6.937, + "loss/crossentropy": 1.6870361864566803, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.15399332344532013, + "step": 1421 + }, + { + "epoch": 0.237, + "grad_norm": 28.625, + "grad_norm_var": 1.6155598958333333, + "learning_rate": 8.678712874021874e-05, + "loss": 7.1699, + "loss/crossentropy": 2.2885822653770447, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.18261811137199402, + "step": 1422 + }, + { + "epoch": 0.23716666666666666, + "grad_norm": 32.0, + "grad_norm_var": 1.9764973958333334, + "learning_rate": 8.67693930390508e-05, + "loss": 7.036, + "loss/crossentropy": 1.8674782514572144, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1692717894911766, + "step": 1423 + }, + { + "epoch": 0.23733333333333334, + "grad_norm": 29.75, + "grad_norm_var": 1.8931640625, + "learning_rate": 8.67516472573452e-05, + "loss": 7.1713, + "loss/crossentropy": 1.9137693643569946, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.19587906450033188, + "step": 1424 + }, + { + "epoch": 0.2375, + "grad_norm": 28.375, + "grad_norm_var": 1.81875, + "learning_rate": 8.673389139996708e-05, + "loss": 7.4921, + "loss/crossentropy": 2.0193804800510406, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16129348427057266, + "step": 1425 + }, + { + "epoch": 0.23766666666666666, + "grad_norm": 28.125, + "grad_norm_var": 1.80625, + "learning_rate": 8.671612547178428e-05, + "loss": 7.1952, + "loss/crossentropy": 2.0666559040546417, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.21362433582544327, + "step": 1426 + }, + { + "epoch": 0.23783333333333334, + "grad_norm": 30.5, + "grad_norm_var": 1.721875, + "learning_rate": 8.669834947766746e-05, + "loss": 7.0166, + "loss/crossentropy": 1.443528801202774, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.18207737430930138, + "step": 1427 + }, + { + "epoch": 0.238, + "grad_norm": 29.625, + "grad_norm_var": 1.6302083333333333, + "learning_rate": 8.668056342248998e-05, + "loss": 7.0718, + "loss/crossentropy": 2.0485104620456696, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.23772461712360382, + "step": 1428 + }, + { + "epoch": 0.23816666666666667, + "grad_norm": 29.75, + "grad_norm_var": 1.3686848958333333, + "learning_rate": 8.666276731112801e-05, + "loss": 6.907, + "loss/crossentropy": 1.6565506756305695, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.15394266322255135, + "step": 1429 + }, + { + "epoch": 0.23833333333333334, + "grad_norm": 32.5, + "grad_norm_var": 1.9989583333333334, + "learning_rate": 8.664496114846044e-05, + "loss": 7.1926, + "loss/crossentropy": 2.0662891566753387, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17025461420416832, + "step": 1430 + }, + { + "epoch": 0.2385, + "grad_norm": 28.25, + "grad_norm_var": 2.0884765625, + "learning_rate": 8.662714493936895e-05, + "loss": 7.0135, + "loss/crossentropy": 1.6579667329788208, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1791704222559929, + "step": 1431 + }, + { + "epoch": 0.23866666666666667, + "grad_norm": 29.25, + "grad_norm_var": 2.0497395833333334, + "learning_rate": 8.660931868873793e-05, + "loss": 7.1355, + "loss/crossentropy": 1.854185864329338, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.20881477370858192, + "step": 1432 + }, + { + "epoch": 0.23883333333333334, + "grad_norm": 28.75, + "grad_norm_var": 1.6561848958333334, + "learning_rate": 8.659148240145456e-05, + "loss": 7.0677, + "loss/crossentropy": 1.779709905385971, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.18130938336253166, + "step": 1433 + }, + { + "epoch": 0.239, + "grad_norm": 29.125, + "grad_norm_var": 1.6171223958333334, + "learning_rate": 8.657363608240876e-05, + "loss": 6.9205, + "loss/crossentropy": 1.7048383802175522, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.16548937931656837, + "step": 1434 + }, + { + "epoch": 0.23916666666666667, + "grad_norm": 30.5, + "grad_norm_var": 1.6796223958333334, + "learning_rate": 8.655577973649321e-05, + "loss": 7.1432, + "loss/crossentropy": 2.16427144408226, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.2073451764881611, + "step": 1435 + }, + { + "epoch": 0.23933333333333334, + "grad_norm": 29.75, + "grad_norm_var": 1.6389973958333333, + "learning_rate": 8.653791336860331e-05, + "loss": 7.2272, + "loss/crossentropy": 2.327578216791153, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.19537092745304108, + "step": 1436 + }, + { + "epoch": 0.2395, + "grad_norm": 31.625, + "grad_norm_var": 1.796875, + "learning_rate": 8.652003698363724e-05, + "loss": 7.0819, + "loss/crossentropy": 1.6819135546684265, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.15314748883247375, + "step": 1437 + }, + { + "epoch": 0.23966666666666667, + "grad_norm": 31.125, + "grad_norm_var": 1.8020833333333333, + "learning_rate": 8.65021505864959e-05, + "loss": 7.305, + "loss/crossentropy": 1.9393266141414642, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17198432981967926, + "step": 1438 + }, + { + "epoch": 0.23983333333333334, + "grad_norm": 29.25, + "grad_norm_var": 1.5184895833333334, + "learning_rate": 8.648425418208294e-05, + "loss": 6.9837, + "loss/crossentropy": 2.1693661212921143, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.17503316327929497, + "step": 1439 + }, + { + "epoch": 0.24, + "grad_norm": 29.0, + "grad_norm_var": 1.5552083333333333, + "learning_rate": 8.64663477753048e-05, + "loss": 7.0159, + "loss/crossentropy": 1.4025498777627945, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1701631397008896, + "step": 1440 + }, + { + "epoch": 0.24016666666666667, + "grad_norm": 32.75, + "grad_norm_var": 1.9676432291666666, + "learning_rate": 8.644843137107059e-05, + "loss": 6.9633, + "loss/crossentropy": 1.393399029970169, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.13988840579986572, + "step": 1441 + }, + { + "epoch": 0.24033333333333334, + "grad_norm": 35.25, + "grad_norm_var": 3.3666666666666667, + "learning_rate": 8.64305049742922e-05, + "loss": 6.9885, + "loss/crossentropy": 1.7633602619171143, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.21782268583774567, + "step": 1442 + }, + { + "epoch": 0.2405, + "grad_norm": 33.75, + "grad_norm_var": 4.05390625, + "learning_rate": 8.641256858988424e-05, + "loss": 6.847, + "loss/crossentropy": 1.1049831062555313, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.17695121467113495, + "step": 1443 + }, + { + "epoch": 0.24066666666666667, + "grad_norm": 31.375, + "grad_norm_var": 4.008333333333334, + "learning_rate": 8.639462222276409e-05, + "loss": 6.8518, + "loss/crossentropy": 2.1725153625011444, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1662130281329155, + "step": 1444 + }, + { + "epoch": 0.24083333333333334, + "grad_norm": 29.25, + "grad_norm_var": 4.090625, + "learning_rate": 8.637666587785184e-05, + "loss": 7.1297, + "loss/crossentropy": 1.5501872599124908, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1997702680528164, + "step": 1445 + }, + { + "epoch": 0.241, + "grad_norm": 28.25, + "grad_norm_var": 4.21015625, + "learning_rate": 8.635869956007034e-05, + "loss": 7.1231, + "loss/crossentropy": 1.423758640885353, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.18965114653110504, + "step": 1446 + }, + { + "epoch": 0.24116666666666667, + "grad_norm": 30.125, + "grad_norm_var": 3.8791015625, + "learning_rate": 8.634072327434515e-05, + "loss": 7.098, + "loss/crossentropy": 1.4089665859937668, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.25003840029239655, + "step": 1447 + }, + { + "epoch": 0.24133333333333334, + "grad_norm": 31.625, + "grad_norm_var": 3.8135416666666666, + "learning_rate": 8.632273702560456e-05, + "loss": 7.38, + "loss/crossentropy": 2.2259353697299957, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.18022334948182106, + "step": 1448 + }, + { + "epoch": 0.2415, + "grad_norm": 29.5, + "grad_norm_var": 3.6518229166666667, + "learning_rate": 8.630474081877959e-05, + "loss": 7.1316, + "loss/crossentropy": 2.1385007202625275, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.177784763276577, + "step": 1449 + }, + { + "epoch": 0.24166666666666667, + "grad_norm": 31.375, + "grad_norm_var": 3.4760416666666667, + "learning_rate": 8.628673465880404e-05, + "loss": 7.0279, + "loss/crossentropy": 2.2046436965465546, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1764751896262169, + "step": 1450 + }, + { + "epoch": 0.24183333333333334, + "grad_norm": 27.875, + "grad_norm_var": 4.048893229166667, + "learning_rate": 8.626871855061438e-05, + "loss": 7.2016, + "loss/crossentropy": 1.8152197003364563, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18991127610206604, + "step": 1451 + }, + { + "epoch": 0.242, + "grad_norm": 29.75, + "grad_norm_var": 4.048893229166667, + "learning_rate": 8.625069249914983e-05, + "loss": 7.0934, + "loss/crossentropy": 1.2199461609125137, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.19496672227978706, + "step": 1452 + }, + { + "epoch": 0.24216666666666667, + "grad_norm": 28.625, + "grad_norm_var": 4.258268229166666, + "learning_rate": 8.623265650935234e-05, + "loss": 7.187, + "loss/crossentropy": 2.0080507397651672, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.18087223172187805, + "step": 1453 + }, + { + "epoch": 0.24233333333333335, + "grad_norm": 29.5, + "grad_norm_var": 4.299739583333333, + "learning_rate": 8.621461058616656e-05, + "loss": 7.1007, + "loss/crossentropy": 1.7408147901296616, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.17902477830648422, + "step": 1454 + }, + { + "epoch": 0.2425, + "grad_norm": 33.25, + "grad_norm_var": 4.658072916666667, + "learning_rate": 8.61965547345399e-05, + "loss": 7.1665, + "loss/crossentropy": 1.9689427614212036, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1854184102267027, + "step": 1455 + }, + { + "epoch": 0.24266666666666667, + "grad_norm": 29.625, + "grad_norm_var": 4.540559895833334, + "learning_rate": 8.617848895942247e-05, + "loss": 7.4566, + "loss/crossentropy": 2.1394124925136566, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17221321910619736, + "step": 1456 + }, + { + "epoch": 0.24283333333333335, + "grad_norm": 28.0, + "grad_norm_var": 4.6791015625, + "learning_rate": 8.616041326576711e-05, + "loss": 6.9391, + "loss/crossentropy": 2.1965531408786774, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.17903254553675652, + "step": 1457 + }, + { + "epoch": 0.243, + "grad_norm": 29.75, + "grad_norm_var": 3.0462890625, + "learning_rate": 8.614232765852935e-05, + "loss": 7.007, + "loss/crossentropy": 1.9292385578155518, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.18688028305768967, + "step": 1458 + }, + { + "epoch": 0.24316666666666667, + "grad_norm": 31.75, + "grad_norm_var": 2.323372395833333, + "learning_rate": 8.612423214266749e-05, + "loss": 7.2216, + "loss/crossentropy": 2.345898687839508, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.18654945492744446, + "step": 1459 + }, + { + "epoch": 0.24333333333333335, + "grad_norm": 29.5, + "grad_norm_var": 2.193489583333333, + "learning_rate": 8.610612672314251e-05, + "loss": 6.9686, + "loss/crossentropy": 1.7359199225902557, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.23047712817788124, + "step": 1460 + }, + { + "epoch": 0.2435, + "grad_norm": 34.5, + "grad_norm_var": 3.4895833333333335, + "learning_rate": 8.608801140491811e-05, + "loss": 7.5035, + "loss/crossentropy": 1.9083283096551895, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.17189928144216537, + "step": 1461 + }, + { + "epoch": 0.24366666666666667, + "grad_norm": 29.875, + "grad_norm_var": 3.2348307291666667, + "learning_rate": 8.606988619296071e-05, + "loss": 7.0419, + "loss/crossentropy": 1.5378432869911194, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.1655520312488079, + "step": 1462 + }, + { + "epoch": 0.24383333333333335, + "grad_norm": 30.25, + "grad_norm_var": 3.2330729166666665, + "learning_rate": 8.605175109223944e-05, + "loss": 7.2363, + "loss/crossentropy": 1.8559139370918274, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.21075575798749924, + "step": 1463 + }, + { + "epoch": 0.244, + "grad_norm": 30.125, + "grad_norm_var": 3.1080729166666665, + "learning_rate": 8.603360610772612e-05, + "loss": 7.0639, + "loss/crossentropy": 1.617599070072174, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.16611310839653015, + "step": 1464 + }, + { + "epoch": 0.24416666666666667, + "grad_norm": 29.25, + "grad_norm_var": 3.1354166666666665, + "learning_rate": 8.601545124439535e-05, + "loss": 7.0136, + "loss/crossentropy": 1.7576895207166672, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.16732006892561913, + "step": 1465 + }, + { + "epoch": 0.24433333333333335, + "grad_norm": 29.0, + "grad_norm_var": 3.1119140625, + "learning_rate": 8.599728650722434e-05, + "loss": 7.1847, + "loss/crossentropy": 2.0496761202812195, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1775667667388916, + "step": 1466 + }, + { + "epoch": 0.2445, + "grad_norm": 30.5, + "grad_norm_var": 2.78515625, + "learning_rate": 8.597911190119308e-05, + "loss": 6.8316, + "loss/crossentropy": 1.859610378742218, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.2175607979297638, + "step": 1467 + }, + { + "epoch": 0.24466666666666667, + "grad_norm": 29.125, + "grad_norm_var": 2.8473307291666665, + "learning_rate": 8.596092743128423e-05, + "loss": 7.0243, + "loss/crossentropy": 1.9550632238388062, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.17831335589289665, + "step": 1468 + }, + { + "epoch": 0.24483333333333332, + "grad_norm": 29.625, + "grad_norm_var": 2.7046223958333333, + "learning_rate": 8.594273310248318e-05, + "loss": 7.2541, + "loss/crossentropy": 1.6503151059150696, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.15552670508623123, + "step": 1469 + }, + { + "epoch": 0.245, + "grad_norm": 29.625, + "grad_norm_var": 2.693489583333333, + "learning_rate": 8.592452891977798e-05, + "loss": 7.3435, + "loss/crossentropy": 2.0008737444877625, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.3390449061989784, + "step": 1470 + }, + { + "epoch": 0.24516666666666667, + "grad_norm": 30.0, + "grad_norm_var": 2.046875, + "learning_rate": 8.590631488815944e-05, + "loss": 7.2786, + "loss/crossentropy": 2.1170044243335724, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.21889721602201462, + "step": 1471 + }, + { + "epoch": 0.24533333333333332, + "grad_norm": 30.125, + "grad_norm_var": 2.035416666666667, + "learning_rate": 8.588809101262103e-05, + "loss": 7.2323, + "loss/crossentropy": 2.4229221642017365, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.18312903493642807, + "step": 1472 + }, + { + "epoch": 0.2455, + "grad_norm": 31.25, + "grad_norm_var": 1.8018229166666666, + "learning_rate": 8.586985729815894e-05, + "loss": 7.0508, + "loss/crossentropy": 1.6384101808071136, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.18184493854641914, + "step": 1473 + }, + { + "epoch": 0.24566666666666667, + "grad_norm": 28.0, + "grad_norm_var": 2.113541666666667, + "learning_rate": 8.585161374977202e-05, + "loss": 6.9332, + "loss/crossentropy": 1.8630158305168152, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18213900551199913, + "step": 1474 + }, + { + "epoch": 0.24583333333333332, + "grad_norm": 29.625, + "grad_norm_var": 1.9442057291666666, + "learning_rate": 8.583336037246186e-05, + "loss": 7.0484, + "loss/crossentropy": 1.7091726660728455, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.19823084771633148, + "step": 1475 + }, + { + "epoch": 0.246, + "grad_norm": 32.0, + "grad_norm_var": 2.1603515625, + "learning_rate": 8.581509717123273e-05, + "loss": 7.2434, + "loss/crossentropy": 1.754471093416214, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.2181721366941929, + "step": 1476 + }, + { + "epoch": 0.24616666666666667, + "grad_norm": 29.0, + "grad_norm_var": 0.8827473958333333, + "learning_rate": 8.579682415109156e-05, + "loss": 7.2447, + "loss/crossentropy": 1.5663812309503555, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.287110410630703, + "step": 1477 + }, + { + "epoch": 0.24633333333333332, + "grad_norm": 28.75, + "grad_norm_var": 0.9559895833333333, + "learning_rate": 8.577854131704805e-05, + "loss": 7.0617, + "loss/crossentropy": 1.7967409044504166, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1808944046497345, + "step": 1478 + }, + { + "epoch": 0.2465, + "grad_norm": 27.125, + "grad_norm_var": 1.3645182291666667, + "learning_rate": 8.576024867411451e-05, + "loss": 7.2348, + "loss/crossentropy": 2.039126396179199, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.156598012894392, + "step": 1479 + }, + { + "epoch": 0.24666666666666667, + "grad_norm": 34.25, + "grad_norm_var": 2.7330729166666665, + "learning_rate": 8.574194622730599e-05, + "loss": 7.2745, + "loss/crossentropy": 1.3324691206216812, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1677563078701496, + "step": 1480 + }, + { + "epoch": 0.24683333333333332, + "grad_norm": 30.375, + "grad_norm_var": 2.725455729166667, + "learning_rate": 8.572363398164017e-05, + "loss": 7.1396, + "loss/crossentropy": 1.4297092854976654, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18744304403662682, + "step": 1481 + }, + { + "epoch": 0.247, + "grad_norm": 37.0, + "grad_norm_var": 5.767122395833334, + "learning_rate": 8.57053119421375e-05, + "loss": 7.1088, + "loss/crossentropy": 1.9855413734912872, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1613350734114647, + "step": 1482 + }, + { + "epoch": 0.24716666666666667, + "grad_norm": 29.5, + "grad_norm_var": 5.816080729166667, + "learning_rate": 8.568698011382107e-05, + "loss": 7.0294, + "loss/crossentropy": 2.1739939153194427, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.18840103223919868, + "step": 1483 + }, + { + "epoch": 0.24733333333333332, + "grad_norm": 28.375, + "grad_norm_var": 5.972330729166667, + "learning_rate": 8.566863850171663e-05, + "loss": 7.2819, + "loss/crossentropy": 2.374476373195648, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.18744181096553802, + "step": 1484 + }, + { + "epoch": 0.2475, + "grad_norm": 29.5, + "grad_norm_var": 5.984375, + "learning_rate": 8.565028711085265e-05, + "loss": 7.0723, + "loss/crossentropy": 2.258538693189621, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.17334047704935074, + "step": 1485 + }, + { + "epoch": 0.24766666666666667, + "grad_norm": 30.25, + "grad_norm_var": 5.9541015625, + "learning_rate": 8.563192594626027e-05, + "loss": 7.0158, + "loss/crossentropy": 2.054572969675064, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.16874121502041817, + "step": 1486 + }, + { + "epoch": 0.24783333333333332, + "grad_norm": 30.5, + "grad_norm_var": 5.948372395833333, + "learning_rate": 8.56135550129733e-05, + "loss": 7.1121, + "loss/crossentropy": 1.843277245759964, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16777873411774635, + "step": 1487 + }, + { + "epoch": 0.248, + "grad_norm": 29.125, + "grad_norm_var": 6.041080729166667, + "learning_rate": 8.559517431602824e-05, + "loss": 6.967, + "loss/crossentropy": 2.1808391213417053, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.16604379191994667, + "step": 1488 + }, + { + "epoch": 0.24816666666666667, + "grad_norm": 28.875, + "grad_norm_var": 6.089322916666666, + "learning_rate": 8.557678386046428e-05, + "loss": 7.1192, + "loss/crossentropy": 1.953674465417862, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.20273207128047943, + "step": 1489 + }, + { + "epoch": 0.24833333333333332, + "grad_norm": 29.375, + "grad_norm_var": 5.8150390625, + "learning_rate": 8.555838365132323e-05, + "loss": 7.3797, + "loss/crossentropy": 2.531637817621231, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.17258794233202934, + "step": 1490 + }, + { + "epoch": 0.2485, + "grad_norm": 27.5, + "grad_norm_var": 6.267708333333333, + "learning_rate": 8.553997369364963e-05, + "loss": 7.0006, + "loss/crossentropy": 2.1717637181282043, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.16751734167337418, + "step": 1491 + }, + { + "epoch": 0.24866666666666667, + "grad_norm": 29.125, + "grad_norm_var": 6.053580729166667, + "learning_rate": 8.552155399249067e-05, + "loss": 6.9992, + "loss/crossentropy": 1.7864954769611359, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.14222882501780987, + "step": 1492 + }, + { + "epoch": 0.24883333333333332, + "grad_norm": 33.0, + "grad_norm_var": 6.566080729166667, + "learning_rate": 8.550312455289625e-05, + "loss": 7.2126, + "loss/crossentropy": 2.0901902318000793, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.16520576551556587, + "step": 1493 + }, + { + "epoch": 0.249, + "grad_norm": 27.875, + "grad_norm_var": 6.77890625, + "learning_rate": 8.548468537991884e-05, + "loss": 7.0567, + "loss/crossentropy": 1.9554181396961212, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1722060665488243, + "step": 1494 + }, + { + "epoch": 0.24916666666666668, + "grad_norm": 29.25, + "grad_norm_var": 6.215559895833334, + "learning_rate": 8.54662364786137e-05, + "loss": 7.0641, + "loss/crossentropy": 1.9646504074335098, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.22118854150176048, + "step": 1495 + }, + { + "epoch": 0.24933333333333332, + "grad_norm": 30.25, + "grad_norm_var": 5.078059895833333, + "learning_rate": 8.544777785403868e-05, + "loss": 7.1731, + "loss/crossentropy": 2.0069101750850677, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.2539825662970543, + "step": 1496 + }, + { + "epoch": 0.2495, + "grad_norm": 29.75, + "grad_norm_var": 5.070572916666666, + "learning_rate": 8.542930951125432e-05, + "loss": 7.3933, + "loss/crossentropy": 2.394498735666275, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.17703993618488312, + "step": 1497 + }, + { + "epoch": 0.24966666666666668, + "grad_norm": 29.375, + "grad_norm_var": 1.5400390625, + "learning_rate": 8.54108314553238e-05, + "loss": 7.2543, + "loss/crossentropy": 1.8668582439422607, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.18204010277986526, + "step": 1498 + }, + { + "epoch": 0.24983333333333332, + "grad_norm": 28.75, + "grad_norm_var": 1.5728515625, + "learning_rate": 8.539234369131301e-05, + "loss": 7.0307, + "loss/crossentropy": 1.8455041944980621, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.156462661921978, + "step": 1499 + }, + { + "epoch": 0.25, + "grad_norm": 31.125, + "grad_norm_var": 1.6587890625, + "learning_rate": 8.53738462242905e-05, + "loss": 7.1447, + "loss/crossentropy": 2.0016601383686066, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.1628295946866274, + "step": 1500 + }, + { + "epoch": 0.25016666666666665, + "grad_norm": 31.0, + "grad_norm_var": 1.7791015625, + "learning_rate": 8.535533905932738e-05, + "loss": 7.2238, + "loss/crossentropy": 1.8938115537166595, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.26563864573836327, + "step": 1501 + }, + { + "epoch": 0.25033333333333335, + "grad_norm": 29.25, + "grad_norm_var": 1.7676432291666666, + "learning_rate": 8.533682220149756e-05, + "loss": 7.0988, + "loss/crossentropy": 1.8613539934158325, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.24434947595000267, + "step": 1502 + }, + { + "epoch": 0.2505, + "grad_norm": 28.875, + "grad_norm_var": 1.7447916666666667, + "learning_rate": 8.53182956558775e-05, + "loss": 7.2005, + "loss/crossentropy": 2.223646640777588, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.17873406410217285, + "step": 1503 + }, + { + "epoch": 0.25066666666666665, + "grad_norm": 30.0, + "grad_norm_var": 1.7452473958333334, + "learning_rate": 8.52997594275464e-05, + "loss": 7.1795, + "loss/crossentropy": 2.195953756570816, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1816156506538391, + "step": 1504 + }, + { + "epoch": 0.25083333333333335, + "grad_norm": 28.25, + "grad_norm_var": 1.82890625, + "learning_rate": 8.528121352158604e-05, + "loss": 7.051, + "loss/crossentropy": 1.791160225868225, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.17693329975008965, + "step": 1505 + }, + { + "epoch": 0.251, + "grad_norm": 29.625, + "grad_norm_var": 1.8270833333333334, + "learning_rate": 8.526265794308089e-05, + "loss": 7.274, + "loss/crossentropy": 2.0660716593265533, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.16169629991054535, + "step": 1506 + }, + { + "epoch": 0.25116666666666665, + "grad_norm": 31.375, + "grad_norm_var": 1.6999348958333333, + "learning_rate": 8.524409269711807e-05, + "loss": 7.224, + "loss/crossentropy": 1.6352661848068237, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1959129236638546, + "step": 1507 + }, + { + "epoch": 0.25133333333333335, + "grad_norm": 27.625, + "grad_norm_var": 1.9764973958333334, + "learning_rate": 8.522551778878736e-05, + "loss": 6.9803, + "loss/crossentropy": 1.7254846692085266, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.15572316572070122, + "step": 1508 + }, + { + "epoch": 0.2515, + "grad_norm": 28.75, + "grad_norm_var": 1.2416015625, + "learning_rate": 8.520693322318116e-05, + "loss": 7.0821, + "loss/crossentropy": 2.414563000202179, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.1611940562725067, + "step": 1509 + }, + { + "epoch": 0.25166666666666665, + "grad_norm": 29.125, + "grad_norm_var": 1.0775390625, + "learning_rate": 8.518833900539454e-05, + "loss": 7.1837, + "loss/crossentropy": 1.6683246195316315, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.17418760433793068, + "step": 1510 + }, + { + "epoch": 0.25183333333333335, + "grad_norm": 27.375, + "grad_norm_var": 1.365625, + "learning_rate": 8.516973514052519e-05, + "loss": 6.9838, + "loss/crossentropy": 1.6335192620754242, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19281744211912155, + "step": 1511 + }, + { + "epoch": 0.252, + "grad_norm": 30.625, + "grad_norm_var": 1.4166015625, + "learning_rate": 8.515112163367351e-05, + "loss": 7.0811, + "loss/crossentropy": 1.8654418885707855, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1812376230955124, + "step": 1512 + }, + { + "epoch": 0.25216666666666665, + "grad_norm": 28.75, + "grad_norm_var": 1.4363932291666666, + "learning_rate": 8.513249848994246e-05, + "loss": 7.0429, + "loss/crossentropy": 2.045855939388275, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17637160047888756, + "step": 1513 + }, + { + "epoch": 0.25233333333333335, + "grad_norm": 30.5, + "grad_norm_var": 1.5166666666666666, + "learning_rate": 8.511386571443771e-05, + "loss": 6.9242, + "loss/crossentropy": 1.500541314482689, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1793259158730507, + "step": 1514 + }, + { + "epoch": 0.2525, + "grad_norm": 29.875, + "grad_norm_var": 1.4926432291666667, + "learning_rate": 8.50952233122675e-05, + "loss": 7.0311, + "loss/crossentropy": 2.022587776184082, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.21084844693541527, + "step": 1515 + }, + { + "epoch": 0.25266666666666665, + "grad_norm": 30.375, + "grad_norm_var": 1.3660807291666666, + "learning_rate": 8.50765712885428e-05, + "loss": 7.3262, + "loss/crossentropy": 2.037146747112274, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.1558259353041649, + "step": 1516 + }, + { + "epoch": 0.25283333333333335, + "grad_norm": 29.75, + "grad_norm_var": 1.2072265625, + "learning_rate": 8.505790964837713e-05, + "loss": 7.0918, + "loss/crossentropy": 1.8950757384300232, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.16136372834444046, + "step": 1517 + }, + { + "epoch": 0.253, + "grad_norm": 30.125, + "grad_norm_var": 1.2395833333333333, + "learning_rate": 8.503923839688667e-05, + "loss": 7.14, + "loss/crossentropy": 1.9728343486785889, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.18228712677955627, + "step": 1518 + }, + { + "epoch": 0.25316666666666665, + "grad_norm": 31.75, + "grad_norm_var": 1.5405598958333333, + "learning_rate": 8.502055753919032e-05, + "loss": 7.1326, + "loss/crossentropy": 1.9609195291996002, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.2126048132777214, + "step": 1519 + }, + { + "epoch": 0.25333333333333335, + "grad_norm": 30.5, + "grad_norm_var": 1.5817057291666667, + "learning_rate": 8.500186708040949e-05, + "loss": 7.0215, + "loss/crossentropy": 1.7548165321350098, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16868678107857704, + "step": 1520 + }, + { + "epoch": 0.2535, + "grad_norm": 30.125, + "grad_norm_var": 1.4518229166666667, + "learning_rate": 8.498316702566828e-05, + "loss": 7.3239, + "loss/crossentropy": 1.947168231010437, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.19160600751638412, + "step": 1521 + }, + { + "epoch": 0.25366666666666665, + "grad_norm": 29.0, + "grad_norm_var": 1.4879557291666667, + "learning_rate": 8.496445738009342e-05, + "loss": 7.1672, + "loss/crossentropy": 1.758422464132309, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.17631743103265762, + "step": 1522 + }, + { + "epoch": 0.25383333333333336, + "grad_norm": 28.75, + "grad_norm_var": 1.3416666666666666, + "learning_rate": 8.494573814881426e-05, + "loss": 7.0456, + "loss/crossentropy": 1.759205311536789, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.22805256769061089, + "step": 1523 + }, + { + "epoch": 0.254, + "grad_norm": 27.75, + "grad_norm_var": 1.3103515625, + "learning_rate": 8.49270093369628e-05, + "loss": 6.7978, + "loss/crossentropy": 2.1120024919509888, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.16711837612092495, + "step": 1524 + }, + { + "epoch": 0.25416666666666665, + "grad_norm": 29.875, + "grad_norm_var": 1.26640625, + "learning_rate": 8.490827094967363e-05, + "loss": 7.0777, + "loss/crossentropy": 2.5337154865264893, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.17811939492821693, + "step": 1525 + }, + { + "epoch": 0.25433333333333336, + "grad_norm": 28.625, + "grad_norm_var": 1.31640625, + "learning_rate": 8.488952299208401e-05, + "loss": 7.0392, + "loss/crossentropy": 1.9581322371959686, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.2321866899728775, + "step": 1526 + }, + { + "epoch": 0.2545, + "grad_norm": 27.875, + "grad_norm_var": 1.1830729166666667, + "learning_rate": 8.487076546933378e-05, + "loss": 6.9305, + "loss/crossentropy": 2.109581172466278, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.16646679490804672, + "step": 1527 + }, + { + "epoch": 0.25466666666666665, + "grad_norm": 30.875, + "grad_norm_var": 1.2197916666666666, + "learning_rate": 8.485199838656543e-05, + "loss": 7.0704, + "loss/crossentropy": 1.933333933353424, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.18859445303678513, + "step": 1528 + }, + { + "epoch": 0.25483333333333336, + "grad_norm": 30.0, + "grad_norm_var": 1.16640625, + "learning_rate": 8.483322174892404e-05, + "loss": 7.5793, + "loss/crossentropy": 1.7409664392471313, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.14843013882637024, + "step": 1529 + }, + { + "epoch": 0.255, + "grad_norm": 30.75, + "grad_norm_var": 1.1958333333333333, + "learning_rate": 8.481443556155735e-05, + "loss": 7.0619, + "loss/crossentropy": 1.4247803539037704, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.17381511628627777, + "step": 1530 + }, + { + "epoch": 0.25516666666666665, + "grad_norm": 30.75, + "grad_norm_var": 1.2582682291666667, + "learning_rate": 8.479563982961571e-05, + "loss": 7.2187, + "loss/crossentropy": 2.05974417924881, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.16389554366469383, + "step": 1531 + }, + { + "epoch": 0.25533333333333336, + "grad_norm": 33.5, + "grad_norm_var": 2.10625, + "learning_rate": 8.477683455825207e-05, + "loss": 7.1836, + "loss/crossentropy": 2.27956685423851, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.18153438344597816, + "step": 1532 + }, + { + "epoch": 0.2555, + "grad_norm": 28.375, + "grad_norm_var": 2.270247395833333, + "learning_rate": 8.4758019752622e-05, + "loss": 7.1096, + "loss/crossentropy": 2.0052456855773926, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.18995345756411552, + "step": 1533 + }, + { + "epoch": 0.25566666666666665, + "grad_norm": 28.0, + "grad_norm_var": 2.4927083333333333, + "learning_rate": 8.473919541788366e-05, + "loss": 7.2549, + "loss/crossentropy": 1.7704631984233856, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1560269370675087, + "step": 1534 + }, + { + "epoch": 0.25583333333333336, + "grad_norm": 29.5, + "grad_norm_var": 2.218489583333333, + "learning_rate": 8.472036155919791e-05, + "loss": 7.2382, + "loss/crossentropy": 1.8430329859256744, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.3204028345644474, + "step": 1535 + }, + { + "epoch": 0.256, + "grad_norm": 27.75, + "grad_norm_var": 2.3760416666666666, + "learning_rate": 8.470151818172809e-05, + "loss": 7.0855, + "loss/crossentropy": 1.8948449194431305, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.17169497162103653, + "step": 1536 + }, + { + "epoch": 0.25616666666666665, + "grad_norm": 30.5, + "grad_norm_var": 2.4176432291666665, + "learning_rate": 8.468266529064025e-05, + "loss": 6.8015, + "loss/crossentropy": 1.9506783783435822, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.17541857436299324, + "step": 1537 + }, + { + "epoch": 0.25633333333333336, + "grad_norm": 27.875, + "grad_norm_var": 2.570572916666667, + "learning_rate": 8.466380289110303e-05, + "loss": 6.8109, + "loss/crossentropy": 1.991490662097931, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.18353094905614853, + "step": 1538 + }, + { + "epoch": 0.2565, + "grad_norm": 30.5, + "grad_norm_var": 2.605208333333333, + "learning_rate": 8.464493098828763e-05, + "loss": 7.0865, + "loss/crossentropy": 1.59281587600708, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.18551462143659592, + "step": 1539 + }, + { + "epoch": 0.25666666666666665, + "grad_norm": 33.75, + "grad_norm_var": 3.4302083333333333, + "learning_rate": 8.462604958736793e-05, + "loss": 6.8848, + "loss/crossentropy": 1.8229161500930786, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.16178708523511887, + "step": 1540 + }, + { + "epoch": 0.25683333333333336, + "grad_norm": 36.25, + "grad_norm_var": 5.943684895833333, + "learning_rate": 8.460715869352035e-05, + "loss": 7.0446, + "loss/crossentropy": 2.298820734024048, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16869497299194336, + "step": 1541 + }, + { + "epoch": 0.257, + "grad_norm": 31.375, + "grad_norm_var": 5.800455729166667, + "learning_rate": 8.458825831192392e-05, + "loss": 7.2513, + "loss/crossentropy": 2.020752638578415, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.1494499407708645, + "step": 1542 + }, + { + "epoch": 0.25716666666666665, + "grad_norm": 28.625, + "grad_norm_var": 5.575455729166666, + "learning_rate": 8.456934844776032e-05, + "loss": 7.0119, + "loss/crossentropy": 1.846586525440216, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.20768148824572563, + "step": 1543 + }, + { + "epoch": 0.25733333333333336, + "grad_norm": 29.75, + "grad_norm_var": 5.601822916666666, + "learning_rate": 8.455042910621379e-05, + "loss": 7.2219, + "loss/crossentropy": 1.9798152446746826, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18746008723974228, + "step": 1544 + }, + { + "epoch": 0.2575, + "grad_norm": 30.0, + "grad_norm_var": 5.601822916666666, + "learning_rate": 8.453150029247114e-05, + "loss": 6.8856, + "loss/crossentropy": 2.1329750418663025, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1751115620136261, + "step": 1545 + }, + { + "epoch": 0.25766666666666665, + "grad_norm": 31.5, + "grad_norm_var": 5.666666666666667, + "learning_rate": 8.451256201172186e-05, + "loss": 7.1745, + "loss/crossentropy": 1.7879785001277924, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.2214762195944786, + "step": 1546 + }, + { + "epoch": 0.25783333333333336, + "grad_norm": 29.25, + "grad_norm_var": 5.757291666666666, + "learning_rate": 8.449361426915797e-05, + "loss": 6.9829, + "loss/crossentropy": 2.2098914980888367, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1809137426316738, + "step": 1547 + }, + { + "epoch": 0.258, + "grad_norm": 37.75, + "grad_norm_var": 8.639322916666666, + "learning_rate": 8.447465706997408e-05, + "loss": 7.1668, + "loss/crossentropy": 1.942916750907898, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.189726110547781, + "step": 1548 + }, + { + "epoch": 0.25816666666666666, + "grad_norm": 28.75, + "grad_norm_var": 8.533268229166667, + "learning_rate": 8.445569041936743e-05, + "loss": 6.9844, + "loss/crossentropy": 2.1587873995304108, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1877158172428608, + "step": 1549 + }, + { + "epoch": 0.25833333333333336, + "grad_norm": 28.25, + "grad_norm_var": 8.447330729166667, + "learning_rate": 8.443671432253784e-05, + "loss": 7.2562, + "loss/crossentropy": 1.871480107307434, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.17582353577017784, + "step": 1550 + }, + { + "epoch": 0.2585, + "grad_norm": 31.625, + "grad_norm_var": 8.386458333333334, + "learning_rate": 8.44177287846877e-05, + "loss": 7.0839, + "loss/crossentropy": 2.095507889986038, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1706218384206295, + "step": 1551 + }, + { + "epoch": 0.25866666666666666, + "grad_norm": 29.5, + "grad_norm_var": 7.855989583333334, + "learning_rate": 8.439873381102203e-05, + "loss": 7.0598, + "loss/crossentropy": 2.2450697124004364, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.24325856566429138, + "step": 1552 + }, + { + "epoch": 0.25883333333333336, + "grad_norm": 28.375, + "grad_norm_var": 8.2666015625, + "learning_rate": 8.437972940674838e-05, + "loss": 7.1284, + "loss/crossentropy": 1.8304429054260254, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.19983015209436417, + "step": 1553 + }, + { + "epoch": 0.259, + "grad_norm": 28.375, + "grad_norm_var": 8.085872395833333, + "learning_rate": 8.436071557707692e-05, + "loss": 7.1071, + "loss/crossentropy": 2.146566927433014, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.18399665504693985, + "step": 1554 + }, + { + "epoch": 0.25916666666666666, + "grad_norm": 29.5, + "grad_norm_var": 8.195247395833333, + "learning_rate": 8.434169232722043e-05, + "loss": 6.898, + "loss/crossentropy": 2.0336706936359406, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.18127762898802757, + "step": 1555 + }, + { + "epoch": 0.25933333333333336, + "grad_norm": 28.625, + "grad_norm_var": 7.813541666666667, + "learning_rate": 8.432265966239419e-05, + "loss": 7.1962, + "loss/crossentropy": 1.6365832686424255, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.15058623626828194, + "step": 1556 + }, + { + "epoch": 0.2595, + "grad_norm": 28.75, + "grad_norm_var": 5.547916666666667, + "learning_rate": 8.430361758781616e-05, + "loss": 7.2417, + "loss/crossentropy": 1.6402669847011566, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.16793038323521614, + "step": 1557 + }, + { + "epoch": 0.25966666666666666, + "grad_norm": 32.5, + "grad_norm_var": 5.833268229166666, + "learning_rate": 8.42845661087068e-05, + "loss": 7.2838, + "loss/crossentropy": 2.1328300833702087, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.2763727866113186, + "step": 1558 + }, + { + "epoch": 0.25983333333333336, + "grad_norm": 31.875, + "grad_norm_var": 5.867122395833333, + "learning_rate": 8.42655052302892e-05, + "loss": 6.9443, + "loss/crossentropy": 1.8955017030239105, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.2807241193950176, + "step": 1559 + }, + { + "epoch": 0.26, + "grad_norm": 32.0, + "grad_norm_var": 6.026497395833333, + "learning_rate": 8.424643495778902e-05, + "loss": 7.0687, + "loss/crossentropy": 2.062573164701462, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16407060995697975, + "step": 1560 + }, + { + "epoch": 0.26016666666666666, + "grad_norm": 32.25, + "grad_norm_var": 6.218684895833333, + "learning_rate": 8.422735529643444e-05, + "loss": 7.1452, + "loss/crossentropy": 2.0199232399463654, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.20692768320441246, + "step": 1561 + }, + { + "epoch": 0.26033333333333336, + "grad_norm": 28.5, + "grad_norm_var": 6.403059895833334, + "learning_rate": 8.42082662514563e-05, + "loss": 7.0374, + "loss/crossentropy": 1.9788072109222412, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16032467409968376, + "step": 1562 + }, + { + "epoch": 0.2605, + "grad_norm": 27.25, + "grad_norm_var": 6.9509765625, + "learning_rate": 8.418916782808795e-05, + "loss": 7.1187, + "loss/crossentropy": 1.8873691856861115, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.15415704622864723, + "step": 1563 + }, + { + "epoch": 0.26066666666666666, + "grad_norm": 29.5, + "grad_norm_var": 2.9462890625, + "learning_rate": 8.417006003156532e-05, + "loss": 7.1693, + "loss/crossentropy": 1.7227062284946442, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.17569826915860176, + "step": 1564 + }, + { + "epoch": 0.2608333333333333, + "grad_norm": 30.125, + "grad_norm_var": 2.8854166666666665, + "learning_rate": 8.415094286712694e-05, + "loss": 7.1147, + "loss/crossentropy": 2.2746866047382355, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.24957356229424477, + "step": 1565 + }, + { + "epoch": 0.261, + "grad_norm": 28.75, + "grad_norm_var": 2.796875, + "learning_rate": 8.413181634001391e-05, + "loss": 7.0441, + "loss/crossentropy": 1.9594350010156631, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.19983908534049988, + "step": 1566 + }, + { + "epoch": 0.26116666666666666, + "grad_norm": 29.375, + "grad_norm_var": 2.57890625, + "learning_rate": 8.411268045546983e-05, + "loss": 7.2668, + "loss/crossentropy": 1.8899872601032257, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.18962673097848892, + "step": 1567 + }, + { + "epoch": 0.2613333333333333, + "grad_norm": 30.125, + "grad_norm_var": 2.5863932291666667, + "learning_rate": 8.409353521874093e-05, + "loss": 7.1443, + "loss/crossentropy": 1.925775170326233, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.20981797203421593, + "step": 1568 + }, + { + "epoch": 0.2615, + "grad_norm": 29.0, + "grad_norm_var": 2.496875, + "learning_rate": 8.4074380635076e-05, + "loss": 7.0819, + "loss/crossentropy": 2.1734819412231445, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1924075074493885, + "step": 1569 + }, + { + "epoch": 0.26166666666666666, + "grad_norm": 31.75, + "grad_norm_var": 2.5759765625, + "learning_rate": 8.405521670972634e-05, + "loss": 7.413, + "loss/crossentropy": 1.7044086158275604, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.21472477540373802, + "step": 1570 + }, + { + "epoch": 0.2618333333333333, + "grad_norm": 30.125, + "grad_norm_var": 2.559375, + "learning_rate": 8.40360434479459e-05, + "loss": 7.0485, + "loss/crossentropy": 2.3204782605171204, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.212375920265913, + "step": 1571 + }, + { + "epoch": 0.262, + "grad_norm": 30.5, + "grad_norm_var": 2.4275390625, + "learning_rate": 8.40168608549911e-05, + "loss": 6.9927, + "loss/crossentropy": 1.8797473013401031, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15978467091917992, + "step": 1572 + }, + { + "epoch": 0.26216666666666666, + "grad_norm": 31.5, + "grad_norm_var": 2.387434895833333, + "learning_rate": 8.399766893612096e-05, + "loss": 7.3188, + "loss/crossentropy": 2.2637689113616943, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.18961792439222336, + "step": 1573 + }, + { + "epoch": 0.2623333333333333, + "grad_norm": 29.0, + "grad_norm_var": 2.135872395833333, + "learning_rate": 8.397846769659707e-05, + "loss": 7.2441, + "loss/crossentropy": 2.0096384286880493, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.17024771869182587, + "step": 1574 + }, + { + "epoch": 0.2625, + "grad_norm": 27.75, + "grad_norm_var": 2.2239583333333335, + "learning_rate": 8.395925714168356e-05, + "loss": 7.0673, + "loss/crossentropy": 2.017771452665329, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1545296274125576, + "step": 1575 + }, + { + "epoch": 0.26266666666666666, + "grad_norm": 28.875, + "grad_norm_var": 1.9358723958333333, + "learning_rate": 8.39400372766471e-05, + "loss": 6.8609, + "loss/crossentropy": 1.6938844323158264, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.16759593039751053, + "step": 1576 + }, + { + "epoch": 0.2628333333333333, + "grad_norm": 30.375, + "grad_norm_var": 1.5052083333333333, + "learning_rate": 8.392080810675691e-05, + "loss": 7.1057, + "loss/crossentropy": 2.3259546160697937, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.18901516124606133, + "step": 1577 + }, + { + "epoch": 0.263, + "grad_norm": 29.5, + "grad_norm_var": 1.4302083333333333, + "learning_rate": 8.390156963728482e-05, + "loss": 6.8684, + "loss/crossentropy": 1.8894447982311249, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.18735118955373764, + "step": 1578 + }, + { + "epoch": 0.26316666666666666, + "grad_norm": 30.0, + "grad_norm_var": 1.0434895833333333, + "learning_rate": 8.388232187350512e-05, + "loss": 6.9714, + "loss/crossentropy": 1.7255138158798218, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.14618822745978832, + "step": 1579 + }, + { + "epoch": 0.2633333333333333, + "grad_norm": 28.625, + "grad_norm_var": 1.1223307291666667, + "learning_rate": 8.386306482069473e-05, + "loss": 6.9041, + "loss/crossentropy": 1.9056564271450043, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.19680579379200935, + "step": 1580 + }, + { + "epoch": 0.2635, + "grad_norm": 28.75, + "grad_norm_var": 1.1645833333333333, + "learning_rate": 8.384379848413304e-05, + "loss": 7.1365, + "loss/crossentropy": 2.132213979959488, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1805483102798462, + "step": 1581 + }, + { + "epoch": 0.26366666666666666, + "grad_norm": 31.625, + "grad_norm_var": 1.3457682291666666, + "learning_rate": 8.382452286910206e-05, + "loss": 7.2889, + "loss/crossentropy": 2.1925718784332275, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16816026344895363, + "step": 1582 + }, + { + "epoch": 0.2638333333333333, + "grad_norm": 29.625, + "grad_norm_var": 1.3353515625, + "learning_rate": 8.380523798088631e-05, + "loss": 7.0877, + "loss/crossentropy": 2.1733668744564056, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.161347858607769, + "step": 1583 + }, + { + "epoch": 0.264, + "grad_norm": 28.875, + "grad_norm_var": 1.3822265625, + "learning_rate": 8.378594382477282e-05, + "loss": 6.8284, + "loss/crossentropy": 2.282644271850586, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.1963726505637169, + "step": 1584 + }, + { + "epoch": 0.26416666666666666, + "grad_norm": 28.5, + "grad_norm_var": 1.4473307291666666, + "learning_rate": 8.376664040605122e-05, + "loss": 7.0791, + "loss/crossentropy": 1.775516003370285, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.15552521869540215, + "step": 1585 + }, + { + "epoch": 0.2643333333333333, + "grad_norm": 30.0, + "grad_norm_var": 1.1629557291666666, + "learning_rate": 8.374732773001366e-05, + "loss": 7.0561, + "loss/crossentropy": 2.43366014957428, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.1624160185456276, + "step": 1586 + }, + { + "epoch": 0.2645, + "grad_norm": 29.875, + "grad_norm_var": 1.1494140625, + "learning_rate": 8.372800580195479e-05, + "loss": 6.8278, + "loss/crossentropy": 1.6613228023052216, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.18726734071969986, + "step": 1587 + }, + { + "epoch": 0.26466666666666666, + "grad_norm": 28.125, + "grad_norm_var": 1.2125, + "learning_rate": 8.370867462717183e-05, + "loss": 7.0035, + "loss/crossentropy": 1.9981612265110016, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1990807019174099, + "step": 1588 + }, + { + "epoch": 0.2648333333333333, + "grad_norm": 28.875, + "grad_norm_var": 0.9212890625, + "learning_rate": 8.368933421096454e-05, + "loss": 7.1323, + "loss/crossentropy": 2.2647982239723206, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.18666927888989449, + "step": 1589 + }, + { + "epoch": 0.265, + "grad_norm": 28.875, + "grad_norm_var": 0.9268229166666667, + "learning_rate": 8.366998455863522e-05, + "loss": 6.8965, + "loss/crossentropy": 1.8666184544563293, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1626325212419033, + "step": 1590 + }, + { + "epoch": 0.26516666666666666, + "grad_norm": 29.375, + "grad_norm_var": 0.7634765625, + "learning_rate": 8.365062567548867e-05, + "loss": 7.0776, + "loss/crossentropy": 2.2567395865917206, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.19338753074407578, + "step": 1591 + }, + { + "epoch": 0.2653333333333333, + "grad_norm": 27.25, + "grad_norm_var": 1.03515625, + "learning_rate": 8.363125756683223e-05, + "loss": 6.9266, + "loss/crossentropy": 1.82755808532238, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1721055768430233, + "step": 1592 + }, + { + "epoch": 0.2655, + "grad_norm": 30.5, + "grad_norm_var": 1.0546223958333334, + "learning_rate": 8.361188023797582e-05, + "loss": 7.2423, + "loss/crossentropy": 1.8901557624340057, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.17523159086704254, + "step": 1593 + }, + { + "epoch": 0.26566666666666666, + "grad_norm": 30.75, + "grad_norm_var": 1.1900390625, + "learning_rate": 8.359249369423177e-05, + "loss": 7.2821, + "loss/crossentropy": 2.219612807035446, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.35253578051924706, + "step": 1594 + }, + { + "epoch": 0.2658333333333333, + "grad_norm": 28.375, + "grad_norm_var": 1.2145833333333333, + "learning_rate": 8.357309794091507e-05, + "loss": 6.8563, + "loss/crossentropy": 2.0655614733695984, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.16120551526546478, + "step": 1595 + }, + { + "epoch": 0.266, + "grad_norm": 29.375, + "grad_norm_var": 1.1872395833333333, + "learning_rate": 8.355369298334316e-05, + "loss": 6.9474, + "loss/crossentropy": 2.0755234956741333, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.17432837560772896, + "step": 1596 + }, + { + "epoch": 0.26616666666666666, + "grad_norm": 30.0, + "grad_norm_var": 1.19375, + "learning_rate": 8.3534278826836e-05, + "loss": 7.15, + "loss/crossentropy": 1.813786655664444, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.2066824771463871, + "step": 1597 + }, + { + "epoch": 0.2663333333333333, + "grad_norm": 28.0, + "grad_norm_var": 0.9275390625, + "learning_rate": 8.351485547671613e-05, + "loss": 7.1337, + "loss/crossentropy": 1.9518603384494781, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15583394467830658, + "step": 1598 + }, + { + "epoch": 0.2665, + "grad_norm": 31.75, + "grad_norm_var": 1.3447916666666666, + "learning_rate": 8.349542293830855e-05, + "loss": 7.1309, + "loss/crossentropy": 2.03059983253479, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.25205692276358604, + "step": 1599 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 26.625, + "grad_norm_var": 1.7830729166666666, + "learning_rate": 8.347598121694078e-05, + "loss": 6.9445, + "loss/crossentropy": 1.7553084194660187, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1512312889099121, + "step": 1600 + }, + { + "epoch": 0.2668333333333333, + "grad_norm": 28.375, + "grad_norm_var": 1.7947265625, + "learning_rate": 8.345653031794292e-05, + "loss": 7.2284, + "loss/crossentropy": 2.2806900441646576, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.1657196544110775, + "step": 1601 + }, + { + "epoch": 0.267, + "grad_norm": 27.625, + "grad_norm_var": 1.87265625, + "learning_rate": 8.343707024664751e-05, + "loss": 7.059, + "loss/crossentropy": 2.153120219707489, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.16068052127957344, + "step": 1602 + }, + { + "epoch": 0.26716666666666666, + "grad_norm": 28.5, + "grad_norm_var": 1.8275390625, + "learning_rate": 8.341760100838965e-05, + "loss": 7.0079, + "loss/crossentropy": 1.2237086743116379, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.19392723962664604, + "step": 1603 + }, + { + "epoch": 0.2673333333333333, + "grad_norm": 28.875, + "grad_norm_var": 1.7853515625, + "learning_rate": 8.339812260850696e-05, + "loss": 7.0806, + "loss/crossentropy": 2.2512892484664917, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.1669567283242941, + "step": 1604 + }, + { + "epoch": 0.2675, + "grad_norm": 30.25, + "grad_norm_var": 1.890625, + "learning_rate": 8.337863505233953e-05, + "loss": 7.2563, + "loss/crossentropy": 1.9990591704845428, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.21021423861384392, + "step": 1605 + }, + { + "epoch": 0.26766666666666666, + "grad_norm": 28.5, + "grad_norm_var": 1.9072265625, + "learning_rate": 8.335913834522999e-05, + "loss": 7.2782, + "loss/crossentropy": 2.0735031366348267, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.19464392587542534, + "step": 1606 + }, + { + "epoch": 0.2678333333333333, + "grad_norm": 30.875, + "grad_norm_var": 2.1212890625, + "learning_rate": 8.333963249252348e-05, + "loss": 7.056, + "loss/crossentropy": 1.7016023844480515, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.14383026584982872, + "step": 1607 + }, + { + "epoch": 0.268, + "grad_norm": 29.0, + "grad_norm_var": 1.8806640625, + "learning_rate": 8.332011749956763e-05, + "loss": 6.8989, + "loss/crossentropy": 1.6620410680770874, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1806044951081276, + "step": 1608 + }, + { + "epoch": 0.26816666666666666, + "grad_norm": 26.875, + "grad_norm_var": 2.07890625, + "learning_rate": 8.330059337171258e-05, + "loss": 6.9859, + "loss/crossentropy": 1.2207449227571487, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1972801610827446, + "step": 1609 + }, + { + "epoch": 0.2683333333333333, + "grad_norm": 28.125, + "grad_norm_var": 1.8916015625, + "learning_rate": 8.328106011431101e-05, + "loss": 7.1042, + "loss/crossentropy": 2.1126300394535065, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.13497081398963928, + "step": 1610 + }, + { + "epoch": 0.2685, + "grad_norm": 28.875, + "grad_norm_var": 1.8775390625, + "learning_rate": 8.326151773271804e-05, + "loss": 7.0583, + "loss/crossentropy": 1.7973102629184723, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2072882391512394, + "step": 1611 + }, + { + "epoch": 0.26866666666666666, + "grad_norm": 30.875, + "grad_norm_var": 2.1228515625, + "learning_rate": 8.324196623229135e-05, + "loss": 7.0919, + "loss/crossentropy": 2.0168280601501465, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.19935346394777298, + "step": 1612 + }, + { + "epoch": 0.2688333333333333, + "grad_norm": 30.0, + "grad_norm_var": 2.1228515625, + "learning_rate": 8.322240561839109e-05, + "loss": 7.1014, + "loss/crossentropy": 1.9888157546520233, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.19377723336219788, + "step": 1613 + }, + { + "epoch": 0.269, + "grad_norm": 30.5, + "grad_norm_var": 2.198372395833333, + "learning_rate": 8.32028358963799e-05, + "loss": 6.9772, + "loss/crossentropy": 1.6363246142864227, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.16422894969582558, + "step": 1614 + }, + { + "epoch": 0.26916666666666667, + "grad_norm": 33.0, + "grad_norm_var": 2.737434895833333, + "learning_rate": 8.318325707162293e-05, + "loss": 7.3598, + "loss/crossentropy": 2.0699954330921173, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.1845544744282961, + "step": 1615 + }, + { + "epoch": 0.2693333333333333, + "grad_norm": 30.0, + "grad_norm_var": 2.2997395833333334, + "learning_rate": 8.316366914948783e-05, + "loss": 7.1584, + "loss/crossentropy": 1.847909152507782, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.19590704888105392, + "step": 1616 + }, + { + "epoch": 0.2695, + "grad_norm": 29.75, + "grad_norm_var": 2.231705729166667, + "learning_rate": 8.314407213534476e-05, + "loss": 7.1871, + "loss/crossentropy": 2.3094082474708557, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.1651579700410366, + "step": 1617 + }, + { + "epoch": 0.26966666666666667, + "grad_norm": 28.875, + "grad_norm_var": 2.020768229166667, + "learning_rate": 8.312446603456632e-05, + "loss": 7.0004, + "loss/crossentropy": 2.274394154548645, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.17561131343245506, + "step": 1618 + }, + { + "epoch": 0.2698333333333333, + "grad_norm": 29.5, + "grad_norm_var": 1.9426432291666667, + "learning_rate": 8.310485085252767e-05, + "loss": 7.0246, + "loss/crossentropy": 1.7239133417606354, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1731395162642002, + "step": 1619 + }, + { + "epoch": 0.27, + "grad_norm": 31.25, + "grad_norm_var": 2.06015625, + "learning_rate": 8.308522659460641e-05, + "loss": 7.0505, + "loss/crossentropy": 1.5815710872411728, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.157865097746253, + "step": 1620 + }, + { + "epoch": 0.27016666666666667, + "grad_norm": 29.5, + "grad_norm_var": 2.046875, + "learning_rate": 8.306559326618259e-05, + "loss": 7.0877, + "loss/crossentropy": 2.271878808736801, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.17844248563051224, + "step": 1621 + }, + { + "epoch": 0.2703333333333333, + "grad_norm": 29.5, + "grad_norm_var": 1.946875, + "learning_rate": 8.304595087263889e-05, + "loss": 7.0577, + "loss/crossentropy": 1.968278557062149, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1579712200909853, + "step": 1622 + }, + { + "epoch": 0.2705, + "grad_norm": 29.75, + "grad_norm_var": 1.8619140625, + "learning_rate": 8.30262994193603e-05, + "loss": 7.1616, + "loss/crossentropy": 2.119562655687332, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17437998950481415, + "step": 1623 + }, + { + "epoch": 0.27066666666666667, + "grad_norm": 27.625, + "grad_norm_var": 2.1104166666666666, + "learning_rate": 8.300663891173443e-05, + "loss": 6.91, + "loss/crossentropy": 2.19699227809906, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.18078136816620827, + "step": 1624 + }, + { + "epoch": 0.2708333333333333, + "grad_norm": 28.25, + "grad_norm_var": 1.7244140625, + "learning_rate": 8.298696935515132e-05, + "loss": 6.8903, + "loss/crossentropy": 2.244156152009964, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.17901168018579483, + "step": 1625 + }, + { + "epoch": 0.271, + "grad_norm": 28.0, + "grad_norm_var": 1.7518229166666666, + "learning_rate": 8.296729075500344e-05, + "loss": 7.1475, + "loss/crossentropy": 2.1130511462688446, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.14990126341581345, + "step": 1626 + }, + { + "epoch": 0.27116666666666667, + "grad_norm": 27.25, + "grad_norm_var": 2.0962890625, + "learning_rate": 8.294760311668586e-05, + "loss": 7.1017, + "loss/crossentropy": 1.4834212064743042, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.15275181271135807, + "step": 1627 + }, + { + "epoch": 0.2713333333333333, + "grad_norm": 29.875, + "grad_norm_var": 1.9889973958333333, + "learning_rate": 8.2927906445596e-05, + "loss": 7.2311, + "loss/crossentropy": 1.8438728153705597, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1795530691742897, + "step": 1628 + }, + { + "epoch": 0.2715, + "grad_norm": 30.375, + "grad_norm_var": 2.0208333333333335, + "learning_rate": 8.290820074713384e-05, + "loss": 7.3256, + "loss/crossentropy": 1.7539753913879395, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.19211795926094055, + "step": 1629 + }, + { + "epoch": 0.27166666666666667, + "grad_norm": 29.625, + "grad_norm_var": 1.9593098958333333, + "learning_rate": 8.28884860267018e-05, + "loss": 7.1493, + "loss/crossentropy": 2.1783579289913177, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.21033593639731407, + "step": 1630 + }, + { + "epoch": 0.2718333333333333, + "grad_norm": 30.375, + "grad_norm_var": 1.1677083333333333, + "learning_rate": 8.28687622897048e-05, + "loss": 7.0612, + "loss/crossentropy": 2.0911701321601868, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.19308391213417053, + "step": 1631 + }, + { + "epoch": 0.272, + "grad_norm": 28.25, + "grad_norm_var": 1.2059895833333334, + "learning_rate": 8.284902954155019e-05, + "loss": 6.9751, + "loss/crossentropy": 1.435138761997223, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1768188774585724, + "step": 1632 + }, + { + "epoch": 0.27216666666666667, + "grad_norm": 27.75, + "grad_norm_var": 1.3184895833333334, + "learning_rate": 8.282928778764783e-05, + "loss": 6.9796, + "loss/crossentropy": 1.8080698549747467, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.16440429911017418, + "step": 1633 + }, + { + "epoch": 0.2723333333333333, + "grad_norm": 28.875, + "grad_norm_var": 1.3184895833333334, + "learning_rate": 8.280953703341004e-05, + "loss": 7.1569, + "loss/crossentropy": 1.7614698261022568, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.18445922434329987, + "step": 1634 + }, + { + "epoch": 0.2725, + "grad_norm": 29.375, + "grad_norm_var": 1.3129557291666667, + "learning_rate": 8.278977728425157e-05, + "loss": 6.947, + "loss/crossentropy": 1.7589438259601593, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.15930374339222908, + "step": 1635 + }, + { + "epoch": 0.27266666666666667, + "grad_norm": 30.25, + "grad_norm_var": 1.0889973958333334, + "learning_rate": 8.27700085455897e-05, + "loss": 7.0433, + "loss/crossentropy": 1.8300014436244965, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.16976384073495865, + "step": 1636 + }, + { + "epoch": 0.2728333333333333, + "grad_norm": 28.75, + "grad_norm_var": 1.0780598958333334, + "learning_rate": 8.275023082284413e-05, + "loss": 6.9003, + "loss/crossentropy": 2.1021377742290497, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15598230808973312, + "step": 1637 + }, + { + "epoch": 0.273, + "grad_norm": 30.375, + "grad_norm_var": 1.18515625, + "learning_rate": 8.273044412143704e-05, + "loss": 6.9528, + "loss/crossentropy": 1.8906866610050201, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.18633756786584854, + "step": 1638 + }, + { + "epoch": 0.27316666666666667, + "grad_norm": 28.75, + "grad_norm_var": 1.15390625, + "learning_rate": 8.271064844679306e-05, + "loss": 7.128, + "loss/crossentropy": 1.927827924489975, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.15265002101659775, + "step": 1639 + }, + { + "epoch": 0.2733333333333333, + "grad_norm": 28.625, + "grad_norm_var": 1.03515625, + "learning_rate": 8.269084380433929e-05, + "loss": 7.0732, + "loss/crossentropy": 2.1406911611557007, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.19738755375146866, + "step": 1640 + }, + { + "epoch": 0.2735, + "grad_norm": 28.5, + "grad_norm_var": 1.0125, + "learning_rate": 8.267103019950529e-05, + "loss": 7.2671, + "loss/crossentropy": 2.1308011412620544, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1796349138021469, + "step": 1641 + }, + { + "epoch": 0.27366666666666667, + "grad_norm": 29.875, + "grad_norm_var": 0.9666015625, + "learning_rate": 8.265120763772303e-05, + "loss": 7.1244, + "loss/crossentropy": 1.9307105541229248, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.1456285398453474, + "step": 1642 + }, + { + "epoch": 0.2738333333333333, + "grad_norm": 30.125, + "grad_norm_var": 0.7434895833333334, + "learning_rate": 8.263137612442706e-05, + "loss": 7.3059, + "loss/crossentropy": 2.0887957215309143, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.2207413949072361, + "step": 1643 + }, + { + "epoch": 0.274, + "grad_norm": 29.625, + "grad_norm_var": 0.7302083333333333, + "learning_rate": 8.261153566505424e-05, + "loss": 6.9932, + "loss/crossentropy": 1.6466211527585983, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.15797096490859985, + "step": 1644 + }, + { + "epoch": 0.27416666666666667, + "grad_norm": 28.625, + "grad_norm_var": 0.6809895833333334, + "learning_rate": 8.259168626504395e-05, + "loss": 6.9243, + "loss/crossentropy": 2.00696924328804, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1935207098722458, + "step": 1645 + }, + { + "epoch": 0.2743333333333333, + "grad_norm": 30.0, + "grad_norm_var": 0.7093098958333334, + "learning_rate": 8.257182792983802e-05, + "loss": 7.0676, + "loss/crossentropy": 1.649848073720932, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1785385087132454, + "step": 1646 + }, + { + "epoch": 0.2745, + "grad_norm": 27.75, + "grad_norm_var": 0.7489583333333333, + "learning_rate": 8.255196066488075e-05, + "loss": 6.8512, + "loss/crossentropy": 1.8856600672006607, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.14813595823943615, + "step": 1647 + }, + { + "epoch": 0.27466666666666667, + "grad_norm": 28.25, + "grad_norm_var": 0.7489583333333333, + "learning_rate": 8.253208447561882e-05, + "loss": 7.0555, + "loss/crossentropy": 1.8466354608535767, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1491059549152851, + "step": 1648 + }, + { + "epoch": 0.2748333333333333, + "grad_norm": 28.25, + "grad_norm_var": 0.675, + "learning_rate": 8.251219936750144e-05, + "loss": 7.0008, + "loss/crossentropy": 2.132791131734848, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1750194914638996, + "step": 1649 + }, + { + "epoch": 0.275, + "grad_norm": 27.75, + "grad_norm_var": 0.7916015625, + "learning_rate": 8.249230534598021e-05, + "loss": 7.0188, + "loss/crossentropy": 2.1920908987522125, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1745447963476181, + "step": 1650 + }, + { + "epoch": 0.27516666666666667, + "grad_norm": 28.75, + "grad_norm_var": 0.7893229166666667, + "learning_rate": 8.247240241650918e-05, + "loss": 6.9948, + "loss/crossentropy": 2.176539570093155, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.20117703825235367, + "step": 1651 + }, + { + "epoch": 0.2753333333333333, + "grad_norm": 29.625, + "grad_norm_var": 0.7108723958333333, + "learning_rate": 8.245249058454487e-05, + "loss": 6.9395, + "loss/crossentropy": 1.8022592663764954, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16233988478779793, + "step": 1652 + }, + { + "epoch": 0.2755, + "grad_norm": 28.25, + "grad_norm_var": 0.7416015625, + "learning_rate": 8.243256985554621e-05, + "loss": 6.9914, + "loss/crossentropy": 1.8188396096229553, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.16636322811245918, + "step": 1653 + }, + { + "epoch": 0.27566666666666667, + "grad_norm": 29.125, + "grad_norm_var": 0.6009765625, + "learning_rate": 8.241264023497457e-05, + "loss": 7.2485, + "loss/crossentropy": 2.085706055164337, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17571250721812248, + "step": 1654 + }, + { + "epoch": 0.2758333333333333, + "grad_norm": 27.0, + "grad_norm_var": 0.8197265625, + "learning_rate": 8.239270172829379e-05, + "loss": 6.751, + "loss/crossentropy": 1.9176505208015442, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.16868801787495613, + "step": 1655 + }, + { + "epoch": 0.276, + "grad_norm": 29.5, + "grad_norm_var": 0.8520833333333333, + "learning_rate": 8.237275434097012e-05, + "loss": 7.0378, + "loss/crossentropy": 2.209993228316307, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.151454858481884, + "step": 1656 + }, + { + "epoch": 0.27616666666666667, + "grad_norm": 26.625, + "grad_norm_var": 1.1499348958333333, + "learning_rate": 8.235279807847223e-05, + "loss": 7.0835, + "loss/crossentropy": 2.094301849603653, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.18753011897206306, + "step": 1657 + }, + { + "epoch": 0.2763333333333333, + "grad_norm": 29.0, + "grad_norm_var": 1.06015625, + "learning_rate": 8.233283294627125e-05, + "loss": 7.0901, + "loss/crossentropy": 1.595028579235077, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.168398629873991, + "step": 1658 + }, + { + "epoch": 0.2765, + "grad_norm": 30.25, + "grad_norm_var": 1.0858723958333334, + "learning_rate": 8.231285894984076e-05, + "loss": 6.9932, + "loss/crossentropy": 1.7843102812767029, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1590423509478569, + "step": 1659 + }, + { + "epoch": 0.27666666666666667, + "grad_norm": 29.875, + "grad_norm_var": 1.1223307291666667, + "learning_rate": 8.22928760946567e-05, + "loss": 6.9998, + "loss/crossentropy": 1.8459515571594238, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.14566442370414734, + "step": 1660 + }, + { + "epoch": 0.2768333333333333, + "grad_norm": 30.25, + "grad_norm_var": 1.27890625, + "learning_rate": 8.227288438619754e-05, + "loss": 7.2782, + "loss/crossentropy": 1.916193664073944, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.204721599817276, + "step": 1661 + }, + { + "epoch": 0.277, + "grad_norm": 26.5, + "grad_norm_var": 1.4684895833333333, + "learning_rate": 8.225288382994407e-05, + "loss": 6.9197, + "loss/crossentropy": 1.4007163494825363, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.13985158130526543, + "step": 1662 + }, + { + "epoch": 0.2771666666666667, + "grad_norm": 29.25, + "grad_norm_var": 1.4497395833333333, + "learning_rate": 8.223287443137957e-05, + "loss": 6.9751, + "loss/crossentropy": 2.0829312205314636, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16278714314103127, + "step": 1663 + }, + { + "epoch": 0.2773333333333333, + "grad_norm": 28.875, + "grad_norm_var": 1.4416015625, + "learning_rate": 8.221285619598975e-05, + "loss": 7.0515, + "loss/crossentropy": 1.7693645358085632, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.1759823076426983, + "step": 1664 + }, + { + "epoch": 0.2775, + "grad_norm": 31.875, + "grad_norm_var": 2.0552083333333333, + "learning_rate": 8.21928291292627e-05, + "loss": 7.1634, + "loss/crossentropy": 2.2715067267417908, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.16273073107004166, + "step": 1665 + }, + { + "epoch": 0.2776666666666667, + "grad_norm": 28.0, + "grad_norm_var": 2.0205729166666666, + "learning_rate": 8.217279323668895e-05, + "loss": 7.1665, + "loss/crossentropy": 2.014183148741722, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.20622410997748375, + "step": 1666 + }, + { + "epoch": 0.2778333333333333, + "grad_norm": 31.25, + "grad_norm_var": 2.35390625, + "learning_rate": 8.215274852376147e-05, + "loss": 7.0098, + "loss/crossentropy": 2.0632661879062653, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.19143903255462646, + "step": 1667 + }, + { + "epoch": 0.278, + "grad_norm": 28.875, + "grad_norm_var": 2.334375, + "learning_rate": 8.213269499597565e-05, + "loss": 6.9134, + "loss/crossentropy": 2.2255958914756775, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16110029816627502, + "step": 1668 + }, + { + "epoch": 0.2781666666666667, + "grad_norm": 30.375, + "grad_norm_var": 2.395247395833333, + "learning_rate": 8.211263265882923e-05, + "loss": 7.3844, + "loss/crossentropy": 1.7887534946203232, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.22624868899583817, + "step": 1669 + }, + { + "epoch": 0.2783333333333333, + "grad_norm": 27.625, + "grad_norm_var": 2.543684895833333, + "learning_rate": 8.209256151782243e-05, + "loss": 7.0544, + "loss/crossentropy": 2.0111959129571915, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.17065033316612244, + "step": 1670 + }, + { + "epoch": 0.2785, + "grad_norm": 29.125, + "grad_norm_var": 2.2393229166666666, + "learning_rate": 8.207248157845791e-05, + "loss": 6.9352, + "loss/crossentropy": 2.0150576531887054, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.17338843271136284, + "step": 1671 + }, + { + "epoch": 0.2786666666666667, + "grad_norm": 32.25, + "grad_norm_var": 2.8208333333333333, + "learning_rate": 8.205239284624062e-05, + "loss": 7.1849, + "loss/crossentropy": 1.8663091659545898, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.19603952020406723, + "step": 1672 + }, + { + "epoch": 0.2788333333333333, + "grad_norm": 33.25, + "grad_norm_var": 3.1348307291666666, + "learning_rate": 8.203229532667807e-05, + "loss": 7.1283, + "loss/crossentropy": 1.587388962507248, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.17431241273880005, + "step": 1673 + }, + { + "epoch": 0.279, + "grad_norm": 30.75, + "grad_norm_var": 3.1421223958333333, + "learning_rate": 8.201218902528009e-05, + "loss": 7.1869, + "loss/crossentropy": 1.9146455824375153, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.2287234514951706, + "step": 1674 + }, + { + "epoch": 0.2791666666666667, + "grad_norm": 29.375, + "grad_norm_var": 3.1489583333333333, + "learning_rate": 8.199207394755893e-05, + "loss": 7.0442, + "loss/crossentropy": 1.8834614008665085, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16575508192181587, + "step": 1675 + }, + { + "epoch": 0.2793333333333333, + "grad_norm": 29.375, + "grad_norm_var": 3.1625, + "learning_rate": 8.197195009902924e-05, + "loss": 6.8398, + "loss/crossentropy": 2.144304484128952, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16777660697698593, + "step": 1676 + }, + { + "epoch": 0.2795, + "grad_norm": 31.625, + "grad_norm_var": 3.3608723958333333, + "learning_rate": 8.195181748520811e-05, + "loss": 6.9631, + "loss/crossentropy": 2.2096819281578064, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.16557533666491508, + "step": 1677 + }, + { + "epoch": 0.2796666666666667, + "grad_norm": 27.75, + "grad_norm_var": 2.8921223958333333, + "learning_rate": 8.193167611161499e-05, + "loss": 6.981, + "loss/crossentropy": 1.9671113193035126, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18934257328510284, + "step": 1678 + }, + { + "epoch": 0.2798333333333333, + "grad_norm": 31.75, + "grad_norm_var": 3.0405598958333333, + "learning_rate": 8.191152598377178e-05, + "loss": 7.2532, + "loss/crossentropy": 2.003457397222519, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.2575335167348385, + "step": 1679 + }, + { + "epoch": 0.28, + "grad_norm": 29.5, + "grad_norm_var": 2.96015625, + "learning_rate": 8.189136710720272e-05, + "loss": 6.9302, + "loss/crossentropy": 1.7706447839736938, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.17788533866405487, + "step": 1680 + }, + { + "epoch": 0.2801666666666667, + "grad_norm": 28.25, + "grad_norm_var": 2.958268229166667, + "learning_rate": 8.18711994874345e-05, + "loss": 6.9475, + "loss/crossentropy": 1.6021004915237427, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.2337457314133644, + "step": 1681 + }, + { + "epoch": 0.2803333333333333, + "grad_norm": 27.75, + "grad_norm_var": 3.0270182291666665, + "learning_rate": 8.185102312999617e-05, + "loss": 6.8753, + "loss/crossentropy": 1.5681849867105484, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1554229725152254, + "step": 1682 + }, + { + "epoch": 0.2805, + "grad_norm": 27.0, + "grad_norm_var": 3.4077473958333333, + "learning_rate": 8.183083804041921e-05, + "loss": 6.9801, + "loss/crossentropy": 2.0765576660633087, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.18441308662295341, + "step": 1683 + }, + { + "epoch": 0.2806666666666667, + "grad_norm": 27.625, + "grad_norm_var": 3.6369140625, + "learning_rate": 8.181064422423748e-05, + "loss": 6.8937, + "loss/crossentropy": 1.7815276384353638, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.14771001040935516, + "step": 1684 + }, + { + "epoch": 0.2808333333333333, + "grad_norm": 27.75, + "grad_norm_var": 3.79140625, + "learning_rate": 8.179044168698721e-05, + "loss": 6.9023, + "loss/crossentropy": 1.639664113521576, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1681507918983698, + "step": 1685 + }, + { + "epoch": 0.281, + "grad_norm": 31.375, + "grad_norm_var": 3.771875, + "learning_rate": 8.177023043420705e-05, + "loss": 7.1269, + "loss/crossentropy": 2.0239316821098328, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1882992461323738, + "step": 1686 + }, + { + "epoch": 0.2811666666666667, + "grad_norm": 30.625, + "grad_norm_var": 3.80625, + "learning_rate": 8.175001047143804e-05, + "loss": 7.085, + "loss/crossentropy": 2.0507695376873016, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16983158141374588, + "step": 1687 + }, + { + "epoch": 0.2813333333333333, + "grad_norm": 28.125, + "grad_norm_var": 3.4947265625, + "learning_rate": 8.172978180422358e-05, + "loss": 7.1007, + "loss/crossentropy": 2.7620102167129517, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.19572355598211288, + "step": 1688 + }, + { + "epoch": 0.2815, + "grad_norm": 29.5, + "grad_norm_var": 2.4947265625, + "learning_rate": 8.170954443810948e-05, + "loss": 7.2013, + "loss/crossentropy": 1.8416691422462463, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1706191748380661, + "step": 1689 + }, + { + "epoch": 0.2816666666666667, + "grad_norm": 30.75, + "grad_norm_var": 2.4947265625, + "learning_rate": 8.168929837864395e-05, + "loss": 7.1158, + "loss/crossentropy": 2.668276786804199, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.18149346485733986, + "step": 1690 + }, + { + "epoch": 0.2818333333333333, + "grad_norm": 2936012800.0, + "grad_norm_var": 5.3876068687544326e+17, + "learning_rate": 8.16690436313775e-05, + "loss": 8.5703, + "loss/crossentropy": 1.6693487614393234, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.20438792556524277, + "step": 1691 + }, + { + "epoch": 0.282, + "grad_norm": 45.25, + "grad_norm_var": 5.387606864870333e+17, + "learning_rate": 8.164878020186317e-05, + "loss": 7.473, + "loss/crossentropy": 2.0202498733997345, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.17249231040477753, + "step": 1692 + }, + { + "epoch": 0.2821666666666667, + "grad_norm": 42.0, + "grad_norm_var": 5.3876068623319046e+17, + "learning_rate": 8.162850809565623e-05, + "loss": 7.0047, + "loss/crossentropy": 2.07115176320076, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.1747579462826252, + "step": 1693 + }, + { + "epoch": 0.2823333333333333, + "grad_norm": 29.375, + "grad_norm_var": 5.38760686193432e+17, + "learning_rate": 8.160822731831441e-05, + "loss": 7.2528, + "loss/crossentropy": 1.8939898312091827, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.2111487165093422, + "step": 1694 + }, + { + "epoch": 0.2825, + "grad_norm": 30.5, + "grad_norm_var": 5.387606862240154e+17, + "learning_rate": 8.158793787539782e-05, + "loss": 7.3467, + "loss/crossentropy": 1.8580593168735504, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.18915199115872383, + "step": 1695 + }, + { + "epoch": 0.2826666666666667, + "grad_norm": 30.125, + "grad_norm_var": 5.387606862087237e+17, + "learning_rate": 8.156763977246889e-05, + "loss": 6.9253, + "loss/crossentropy": 1.6111495792865753, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1660899519920349, + "step": 1696 + }, + { + "epoch": 0.2828333333333333, + "grad_norm": 33.5, + "grad_norm_var": 5.3876068608027315e+17, + "learning_rate": 8.154733301509248e-05, + "loss": 7.045, + "loss/crossentropy": 1.6356629431247711, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.18091236054897308, + "step": 1697 + }, + { + "epoch": 0.283, + "grad_norm": 26.5, + "grad_norm_var": 5.3876068611085664e+17, + "learning_rate": 8.152701760883581e-05, + "loss": 6.9901, + "loss/crossentropy": 1.8398661017417908, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.16181451827287674, + "step": 1698 + }, + { + "epoch": 0.2831666666666667, + "grad_norm": 26.875, + "grad_norm_var": 5.3876068611391494e+17, + "learning_rate": 8.150669355926846e-05, + "loss": 6.9348, + "loss/crossentropy": 1.4676976054906845, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.14524751529097557, + "step": 1699 + }, + { + "epoch": 0.2833333333333333, + "grad_norm": 29.125, + "grad_norm_var": 5.387606860772148e+17, + "learning_rate": 8.148636087196237e-05, + "loss": 7.3202, + "loss/crossentropy": 2.0150266885757446, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17759757861495018, + "step": 1700 + }, + { + "epoch": 0.2835, + "grad_norm": 35.0, + "grad_norm_var": 5.387606858998307e+17, + "learning_rate": 8.146601955249188e-05, + "loss": 6.9675, + "loss/crossentropy": 1.7606062293052673, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.14642946049571037, + "step": 1701 + }, + { + "epoch": 0.2836666666666667, + "grad_norm": 31.875, + "grad_norm_var": 5.387606858875973e+17, + "learning_rate": 8.144566960643367e-05, + "loss": 6.8975, + "loss/crossentropy": 1.55070061981678, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.14741745591163635, + "step": 1702 + }, + { + "epoch": 0.2838333333333333, + "grad_norm": 30.375, + "grad_norm_var": 5.38760685893714e+17, + "learning_rate": 8.142531103936678e-05, + "loss": 7.0671, + "loss/crossentropy": 1.6155748516321182, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.17731787636876106, + "step": 1703 + }, + { + "epoch": 0.284, + "grad_norm": 28.75, + "grad_norm_var": 5.387606858784223e+17, + "learning_rate": 8.140494385687265e-05, + "loss": 6.9621, + "loss/crossentropy": 1.822475105524063, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.2010866068303585, + "step": 1704 + }, + { + "epoch": 0.2841666666666667, + "grad_norm": 30.0, + "grad_norm_var": 5.3876068586618886e+17, + "learning_rate": 8.138456806453503e-05, + "loss": 7.2334, + "loss/crossentropy": 2.269442915916443, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.15679952129721642, + "step": 1705 + }, + { + "epoch": 0.2843333333333333, + "grad_norm": 29.0, + "grad_norm_var": 5.3876068590900576e+17, + "learning_rate": 8.136418366794008e-05, + "loss": 7.2577, + "loss/crossentropy": 2.489030599594116, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.19774607941508293, + "step": 1706 + }, + { + "epoch": 0.2845, + "grad_norm": 27.0, + "grad_norm_var": 27.508072916666666, + "learning_rate": 8.13437906726763e-05, + "loss": 6.9963, + "loss/crossentropy": 2.202205926179886, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.18003078177571297, + "step": 1707 + }, + { + "epoch": 0.2846666666666667, + "grad_norm": 29.75, + "grad_norm_var": 14.268489583333333, + "learning_rate": 8.132338908433454e-05, + "loss": 7.0833, + "loss/crossentropy": 1.8099579513072968, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.18593353033065796, + "step": 1708 + }, + { + "epoch": 0.2848333333333333, + "grad_norm": 28.625, + "grad_norm_var": 5.135872395833333, + "learning_rate": 8.130297890850802e-05, + "loss": 6.9187, + "loss/crossentropy": 1.9506973773241043, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1553124114871025, + "step": 1709 + }, + { + "epoch": 0.285, + "grad_norm": 29.5, + "grad_norm_var": 5.130208333333333, + "learning_rate": 8.128256015079229e-05, + "loss": 7.0218, + "loss/crossentropy": 2.1073566675186157, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17732353508472443, + "step": 1710 + }, + { + "epoch": 0.2851666666666667, + "grad_norm": 26.75, + "grad_norm_var": 5.649739583333333, + "learning_rate": 8.126213281678528e-05, + "loss": 7.0665, + "loss/crossentropy": 2.359982818365097, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.17730343714356422, + "step": 1711 + }, + { + "epoch": 0.2853333333333333, + "grad_norm": 27.625, + "grad_norm_var": 5.84765625, + "learning_rate": 8.124169691208723e-05, + "loss": 6.8255, + "loss/crossentropy": 1.7185687720775604, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.16415394470095634, + "step": 1712 + }, + { + "epoch": 0.2855, + "grad_norm": 27.5, + "grad_norm_var": 4.81015625, + "learning_rate": 8.122125244230079e-05, + "loss": 6.8865, + "loss/crossentropy": 2.036595106124878, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.15688344836235046, + "step": 1713 + }, + { + "epoch": 0.2856666666666667, + "grad_norm": 32.25, + "grad_norm_var": 4.947916666666667, + "learning_rate": 8.120079941303094e-05, + "loss": 7.3588, + "loss/crossentropy": 2.0053426325321198, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.32154810056090355, + "step": 1714 + }, + { + "epoch": 0.28583333333333333, + "grad_norm": 30.75, + "grad_norm_var": 4.5947265625, + "learning_rate": 8.118033782988496e-05, + "loss": 7.1988, + "loss/crossentropy": 1.8093489557504654, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.16956805437803268, + "step": 1715 + }, + { + "epoch": 0.286, + "grad_norm": 29.0, + "grad_norm_var": 4.60390625, + "learning_rate": 8.115986769847252e-05, + "loss": 6.9215, + "loss/crossentropy": 1.986009955406189, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.19330377504229546, + "step": 1716 + }, + { + "epoch": 0.2861666666666667, + "grad_norm": 28.875, + "grad_norm_var": 2.5462890625, + "learning_rate": 8.113938902440564e-05, + "loss": 6.8977, + "loss/crossentropy": 1.7001326978206635, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1447098609060049, + "step": 1717 + }, + { + "epoch": 0.28633333333333333, + "grad_norm": 30.5, + "grad_norm_var": 2.17890625, + "learning_rate": 8.111890181329863e-05, + "loss": 6.9204, + "loss/crossentropy": 1.9453524053096771, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.15566342696547508, + "step": 1718 + }, + { + "epoch": 0.2865, + "grad_norm": 26.75, + "grad_norm_var": 2.403580729166667, + "learning_rate": 8.109840607076821e-05, + "loss": 6.9269, + "loss/crossentropy": 1.6534964740276337, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.21997592598199844, + "step": 1719 + }, + { + "epoch": 0.2866666666666667, + "grad_norm": 27.75, + "grad_norm_var": 2.4879557291666665, + "learning_rate": 8.107790180243338e-05, + "loss": 6.9981, + "loss/crossentropy": 2.1482350528240204, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.17027843743562698, + "step": 1720 + }, + { + "epoch": 0.28683333333333333, + "grad_norm": 30.875, + "grad_norm_var": 2.669791666666667, + "learning_rate": 8.105738901391552e-05, + "loss": 6.9931, + "loss/crossentropy": 1.7035507559776306, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1677701696753502, + "step": 1721 + }, + { + "epoch": 0.287, + "grad_norm": 28.5, + "grad_norm_var": 2.6791666666666667, + "learning_rate": 8.103686771083831e-05, + "loss": 6.8921, + "loss/crossentropy": 1.9129577577114105, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15843845531344414, + "step": 1722 + }, + { + "epoch": 0.2871666666666667, + "grad_norm": 27.25, + "grad_norm_var": 2.6205729166666667, + "learning_rate": 8.101633789882781e-05, + "loss": 6.9713, + "loss/crossentropy": 1.9466756880283356, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18042508512735367, + "step": 1723 + }, + { + "epoch": 0.28733333333333333, + "grad_norm": 27.125, + "grad_norm_var": 2.7504557291666667, + "learning_rate": 8.099579958351235e-05, + "loss": 6.8711, + "loss/crossentropy": 1.822874754667282, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.1604704149067402, + "step": 1724 + }, + { + "epoch": 0.2875, + "grad_norm": 31.375, + "grad_norm_var": 3.1858723958333335, + "learning_rate": 8.097525277052264e-05, + "loss": 7.2213, + "loss/crossentropy": 1.8169062584638596, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.17779788188636303, + "step": 1725 + }, + { + "epoch": 0.2876666666666667, + "grad_norm": 32.75, + "grad_norm_var": 4.106705729166666, + "learning_rate": 8.095469746549172e-05, + "loss": 6.8249, + "loss/crossentropy": 1.7158812582492828, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1985117420554161, + "step": 1726 + }, + { + "epoch": 0.28783333333333333, + "grad_norm": 27.5, + "grad_norm_var": 3.9067057291666667, + "learning_rate": 8.093413367405489e-05, + "loss": 7.0233, + "loss/crossentropy": 1.906646966934204, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.15743854269385338, + "step": 1727 + }, + { + "epoch": 0.288, + "grad_norm": 31.0, + "grad_norm_var": 3.9330729166666667, + "learning_rate": 8.091356140184991e-05, + "loss": 6.9968, + "loss/crossentropy": 1.7871026396751404, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.16673271730542183, + "step": 1728 + }, + { + "epoch": 0.2881666666666667, + "grad_norm": 31.0, + "grad_norm_var": 3.8309895833333334, + "learning_rate": 8.089298065451672e-05, + "loss": 6.8641, + "loss/crossentropy": 1.9663325399160385, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.16698668524622917, + "step": 1729 + }, + { + "epoch": 0.28833333333333333, + "grad_norm": 31.125, + "grad_norm_var": 3.5093098958333333, + "learning_rate": 8.087239143769768e-05, + "loss": 7.1978, + "loss/crossentropy": 1.7978715002536774, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.18057232350111008, + "step": 1730 + }, + { + "epoch": 0.2885, + "grad_norm": 29.75, + "grad_norm_var": 3.4061848958333334, + "learning_rate": 8.085179375703744e-05, + "loss": 7.3673, + "loss/crossentropy": 2.15347021818161, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.16674425080418587, + "step": 1731 + }, + { + "epoch": 0.2886666666666667, + "grad_norm": 29.0, + "grad_norm_var": 3.4061848958333334, + "learning_rate": 8.083118761818295e-05, + "loss": 7.001, + "loss/crossentropy": 1.6970942318439484, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.18776270374655724, + "step": 1732 + }, + { + "epoch": 0.28883333333333333, + "grad_norm": 28.0, + "grad_norm_var": 3.5205729166666666, + "learning_rate": 8.081057302678352e-05, + "loss": 6.8459, + "loss/crossentropy": 1.8751520812511444, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.19694062322378159, + "step": 1733 + }, + { + "epoch": 0.289, + "grad_norm": 30.75, + "grad_norm_var": 3.5614583333333334, + "learning_rate": 8.078994998849076e-05, + "loss": 7.0133, + "loss/crossentropy": 2.1347344666719437, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.16332196071743965, + "step": 1734 + }, + { + "epoch": 0.2891666666666667, + "grad_norm": 27.25, + "grad_norm_var": 3.4, + "learning_rate": 8.076931850895859e-05, + "loss": 7.0216, + "loss/crossentropy": 1.960142195224762, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.17830370739102364, + "step": 1735 + }, + { + "epoch": 0.28933333333333333, + "grad_norm": 30.25, + "grad_norm_var": 3.228125, + "learning_rate": 8.074867859384322e-05, + "loss": 6.9388, + "loss/crossentropy": 1.9251831322908401, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1704772673547268, + "step": 1736 + }, + { + "epoch": 0.2895, + "grad_norm": 28.375, + "grad_norm_var": 3.191666666666667, + "learning_rate": 8.072803024880322e-05, + "loss": 7.0088, + "loss/crossentropy": 2.005739152431488, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1563599295914173, + "step": 1737 + }, + { + "epoch": 0.2896666666666667, + "grad_norm": 27.875, + "grad_norm_var": 3.294205729166667, + "learning_rate": 8.070737347949947e-05, + "loss": 6.8871, + "loss/crossentropy": 1.703059434890747, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19055244326591492, + "step": 1738 + }, + { + "epoch": 0.28983333333333333, + "grad_norm": 29.875, + "grad_norm_var": 2.972916666666667, + "learning_rate": 8.068670829159511e-05, + "loss": 6.7825, + "loss/crossentropy": 1.2570236921310425, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1484133694320917, + "step": 1739 + }, + { + "epoch": 0.29, + "grad_norm": 27.0, + "grad_norm_var": 3.014518229166667, + "learning_rate": 8.066603469075564e-05, + "loss": 6.9674, + "loss/crossentropy": 1.5935139805078506, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15925994515419006, + "step": 1740 + }, + { + "epoch": 0.2901666666666667, + "grad_norm": 25.5, + "grad_norm_var": 3.745833333333333, + "learning_rate": 8.064535268264883e-05, + "loss": 6.9103, + "loss/crossentropy": 1.954742968082428, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17588535323739052, + "step": 1741 + }, + { + "epoch": 0.29033333333333333, + "grad_norm": 27.125, + "grad_norm_var": 3.051497395833333, + "learning_rate": 8.062466227294477e-05, + "loss": 6.9033, + "loss/crossentropy": 1.9432837516069412, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.19504057615995407, + "step": 1742 + }, + { + "epoch": 0.2905, + "grad_norm": 29.375, + "grad_norm_var": 2.937239583333333, + "learning_rate": 8.060396346731587e-05, + "loss": 7.2303, + "loss/crossentropy": 1.8995141685009003, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.18443816527724266, + "step": 1743 + }, + { + "epoch": 0.2906666666666667, + "grad_norm": 28.625, + "grad_norm_var": 2.6416015625, + "learning_rate": 8.058325627143681e-05, + "loss": 7.148, + "loss/crossentropy": 2.1386114954948425, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.16721056401729584, + "step": 1744 + }, + { + "epoch": 0.29083333333333333, + "grad_norm": 27.875, + "grad_norm_var": 2.3372395833333335, + "learning_rate": 8.056254069098459e-05, + "loss": 6.9154, + "loss/crossentropy": 2.123811662197113, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1626821719110012, + "step": 1745 + }, + { + "epoch": 0.291, + "grad_norm": 32.0, + "grad_norm_var": 2.678580729166667, + "learning_rate": 8.05418167316385e-05, + "loss": 6.9848, + "loss/crossentropy": 2.012488305568695, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.18469147756695747, + "step": 1746 + }, + { + "epoch": 0.2911666666666667, + "grad_norm": 29.0, + "grad_norm_var": 2.6051432291666665, + "learning_rate": 8.052108439908013e-05, + "loss": 7.2118, + "loss/crossentropy": 2.222733795642853, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.17967507988214493, + "step": 1747 + }, + { + "epoch": 0.29133333333333333, + "grad_norm": 31.0, + "grad_norm_var": 2.9572265625, + "learning_rate": 8.050034369899337e-05, + "loss": 7.0723, + "loss/crossentropy": 1.35679230093956, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.19271300174295902, + "step": 1748 + }, + { + "epoch": 0.2915, + "grad_norm": 31.25, + "grad_norm_var": 3.295768229166667, + "learning_rate": 8.04795946370644e-05, + "loss": 7.2028, + "loss/crossentropy": 2.0392096638679504, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.1761065199971199, + "step": 1749 + }, + { + "epoch": 0.2916666666666667, + "grad_norm": 32.5, + "grad_norm_var": 3.9082682291666666, + "learning_rate": 8.04588372189817e-05, + "loss": 6.8845, + "loss/crossentropy": 2.246554672718048, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.20051004737615585, + "step": 1750 + }, + { + "epoch": 0.29183333333333333, + "grad_norm": 29.625, + "grad_norm_var": 3.689322916666667, + "learning_rate": 8.043807145043604e-05, + "loss": 7.2089, + "loss/crossentropy": 2.2228686809539795, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.17735590785741806, + "step": 1751 + }, + { + "epoch": 0.292, + "grad_norm": 31.5, + "grad_norm_var": 3.9614583333333333, + "learning_rate": 8.041729733712045e-05, + "loss": 6.8497, + "loss/crossentropy": 1.5177088528871536, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.17029394581913948, + "step": 1752 + }, + { + "epoch": 0.2921666666666667, + "grad_norm": 29.375, + "grad_norm_var": 3.903125, + "learning_rate": 8.039651488473028e-05, + "loss": 6.8599, + "loss/crossentropy": 1.9754594266414642, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.19144656881690025, + "step": 1753 + }, + { + "epoch": 0.29233333333333333, + "grad_norm": 32.0, + "grad_norm_var": 4.1587890625, + "learning_rate": 8.037572409896315e-05, + "loss": 7.1755, + "loss/crossentropy": 1.9540952146053314, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16342727839946747, + "step": 1754 + }, + { + "epoch": 0.2925, + "grad_norm": 30.375, + "grad_norm_var": 4.192643229166666, + "learning_rate": 8.0354924985519e-05, + "loss": 6.7816, + "loss/crossentropy": 1.5585548281669617, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.18010758981108665, + "step": 1755 + }, + { + "epoch": 0.2926666666666667, + "grad_norm": 36.5, + "grad_norm_var": 6.498372395833333, + "learning_rate": 8.033411755009999e-05, + "loss": 7.1499, + "loss/crossentropy": 1.5687600076198578, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.22139346599578857, + "step": 1756 + }, + { + "epoch": 0.29283333333333333, + "grad_norm": 29.625, + "grad_norm_var": 4.962239583333333, + "learning_rate": 8.031330179841062e-05, + "loss": 6.9437, + "loss/crossentropy": 1.6486482918262482, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15065807476639748, + "step": 1757 + }, + { + "epoch": 0.293, + "grad_norm": 30.125, + "grad_norm_var": 4.180989583333333, + "learning_rate": 8.029247773615764e-05, + "loss": 6.9791, + "loss/crossentropy": 1.7986524105072021, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.19983235374093056, + "step": 1758 + }, + { + "epoch": 0.2931666666666667, + "grad_norm": 31.125, + "grad_norm_var": 4.069791666666666, + "learning_rate": 8.027164536905008e-05, + "loss": 7.0019, + "loss/crossentropy": 2.064461871981621, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.1813412606716156, + "step": 1759 + }, + { + "epoch": 0.29333333333333333, + "grad_norm": 29.75, + "grad_norm_var": 3.825455729166667, + "learning_rate": 8.025080470279924e-05, + "loss": 6.8873, + "loss/crossentropy": 1.9530519247055054, + "loss/hidden": 2.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.136128269135952, + "step": 1760 + }, + { + "epoch": 0.2935, + "grad_norm": 28.5, + "grad_norm_var": 3.601822916666667, + "learning_rate": 8.022995574311876e-05, + "loss": 6.8462, + "loss/crossentropy": 2.069970518350601, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.15924708545207977, + "step": 1761 + }, + { + "epoch": 0.2936666666666667, + "grad_norm": 28.5, + "grad_norm_var": 3.849739583333333, + "learning_rate": 8.020909849572444e-05, + "loss": 7.0438, + "loss/crossentropy": 1.4966088980436325, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.17960093170404434, + "step": 1762 + }, + { + "epoch": 0.29383333333333334, + "grad_norm": 27.125, + "grad_norm_var": 4.487434895833333, + "learning_rate": 8.018823296633441e-05, + "loss": 6.6857, + "loss/crossentropy": 1.6587276309728622, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.16952040046453476, + "step": 1763 + }, + { + "epoch": 0.294, + "grad_norm": 28.0, + "grad_norm_var": 4.871809895833334, + "learning_rate": 8.016735916066913e-05, + "loss": 7.0478, + "loss/crossentropy": 1.9921867847442627, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.16137176379561424, + "step": 1764 + }, + { + "epoch": 0.2941666666666667, + "grad_norm": 29.125, + "grad_norm_var": 4.90390625, + "learning_rate": 8.014647708445124e-05, + "loss": 6.9749, + "loss/crossentropy": 2.3098158836364746, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15011011064052582, + "step": 1765 + }, + { + "epoch": 0.29433333333333334, + "grad_norm": 29.375, + "grad_norm_var": 4.570247395833333, + "learning_rate": 8.012558674340566e-05, + "loss": 7.109, + "loss/crossentropy": 1.5782488584518433, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.16313642263412476, + "step": 1766 + }, + { + "epoch": 0.2945, + "grad_norm": 29.75, + "grad_norm_var": 4.564322916666667, + "learning_rate": 8.010468814325964e-05, + "loss": 7.0989, + "loss/crossentropy": 1.715920865535736, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1874961219727993, + "step": 1767 + }, + { + "epoch": 0.2946666666666667, + "grad_norm": 26.5, + "grad_norm_var": 5.158072916666667, + "learning_rate": 8.008378128974262e-05, + "loss": 7.2552, + "loss/crossentropy": 1.7260702550411224, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.18568307533860207, + "step": 1768 + }, + { + "epoch": 0.29483333333333334, + "grad_norm": 28.75, + "grad_norm_var": 5.212434895833334, + "learning_rate": 8.006286618858635e-05, + "loss": 6.8589, + "loss/crossentropy": 1.4239223450422287, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17964031919836998, + "step": 1769 + }, + { + "epoch": 0.295, + "grad_norm": 28.625, + "grad_norm_var": 4.887239583333334, + "learning_rate": 8.004194284552477e-05, + "loss": 6.809, + "loss/crossentropy": 2.0484983325004578, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14857875555753708, + "step": 1770 + }, + { + "epoch": 0.2951666666666667, + "grad_norm": 29.75, + "grad_norm_var": 4.837434895833334, + "learning_rate": 8.002101126629421e-05, + "loss": 6.9297, + "loss/crossentropy": 2.2283668518066406, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15431294217705727, + "step": 1771 + }, + { + "epoch": 0.29533333333333334, + "grad_norm": 30.875, + "grad_norm_var": 1.5239583333333333, + "learning_rate": 8.000007145663312e-05, + "loss": 6.8355, + "loss/crossentropy": 1.6497902870178223, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.15394964255392551, + "step": 1772 + }, + { + "epoch": 0.2955, + "grad_norm": 31.5, + "grad_norm_var": 1.8764973958333333, + "learning_rate": 7.997912342228232e-05, + "loss": 6.8759, + "loss/crossentropy": 1.8970504701137543, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.15557139366865158, + "step": 1773 + }, + { + "epoch": 0.2956666666666667, + "grad_norm": 4110417920.0, + "grad_norm_var": 1.0559709523387351e+18, + "learning_rate": 7.99581671689848e-05, + "loss": 7.3196, + "loss/crossentropy": 2.6301337480545044, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.17043613269925117, + "step": 1774 + }, + { + "epoch": 0.29583333333333334, + "grad_norm": 31.5, + "grad_norm_var": 1.05597095232589e+18, + "learning_rate": 7.993720270248584e-05, + "loss": 6.9568, + "loss/crossentropy": 1.719387263059616, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.19741066545248032, + "step": 1775 + }, + { + "epoch": 0.296, + "grad_norm": 29.5, + "grad_norm_var": 1.0559709523344535e+18, + "learning_rate": 7.991623002853296e-05, + "loss": 6.6749, + "loss/crossentropy": 1.155877485871315, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.13954339548945427, + "step": 1776 + }, + { + "epoch": 0.2961666666666667, + "grad_norm": 28.0, + "grad_norm_var": 1.0559709523515802e+18, + "learning_rate": 7.989524915287595e-05, + "loss": 7.1404, + "loss/crossentropy": 2.134528160095215, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.17305652052164078, + "step": 1777 + }, + { + "epoch": 0.29633333333333334, + "grad_norm": 28.75, + "grad_norm_var": 1.0559709523430168e+18, + "learning_rate": 7.987426008126683e-05, + "loss": 7.1646, + "loss/crossentropy": 2.330888092517853, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.17424631491303444, + "step": 1778 + }, + { + "epoch": 0.2965, + "grad_norm": 28.25, + "grad_norm_var": 1.0559709523044817e+18, + "learning_rate": 7.985326281945989e-05, + "loss": 7.0201, + "loss/crossentropy": 2.036402851343155, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.16846515238285065, + "step": 1779 + }, + { + "epoch": 0.2966666666666667, + "grad_norm": 28.0, + "grad_norm_var": 1.0559709523044817e+18, + "learning_rate": 7.983225737321163e-05, + "loss": 6.9704, + "loss/crossentropy": 2.133853703737259, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.16769133880734444, + "step": 1780 + }, + { + "epoch": 0.29683333333333334, + "grad_norm": 26.25, + "grad_norm_var": 1.0559709524029604e+18, + "learning_rate": 7.98112437482808e-05, + "loss": 6.9933, + "loss/crossentropy": 1.7176109552383423, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17507165670394897, + "step": 1781 + }, + { + "epoch": 0.297, + "grad_norm": 27.75, + "grad_norm_var": 1.0559709524586223e+18, + "learning_rate": 7.979022195042842e-05, + "loss": 6.9713, + "loss/crossentropy": 1.7080380022525787, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1753886453807354, + "step": 1782 + }, + { + "epoch": 0.2971666666666667, + "grad_norm": 29.625, + "grad_norm_var": 1.055970952462904e+18, + "learning_rate": 7.976919198541776e-05, + "loss": 6.9518, + "loss/crossentropy": 2.0936281085014343, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.2058982402086258, + "step": 1783 + }, + { + "epoch": 0.29733333333333334, + "grad_norm": 28.25, + "grad_norm_var": 1.0559709524029604e+18, + "learning_rate": 7.974815385901426e-05, + "loss": 6.9159, + "loss/crossentropy": 2.0488981008529663, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1739674136042595, + "step": 1784 + }, + { + "epoch": 0.2975, + "grad_norm": 27.875, + "grad_norm_var": 1.0559709524329322e+18, + "learning_rate": 7.972710757698567e-05, + "loss": 7.1597, + "loss/crossentropy": 2.336401492357254, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17067568749189377, + "step": 1785 + }, + { + "epoch": 0.2976666666666667, + "grad_norm": 27.875, + "grad_norm_var": 1.0559709524586223e+18, + "learning_rate": 7.970605314510194e-05, + "loss": 7.0471, + "loss/crossentropy": 2.010293275117874, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.17855480313301086, + "step": 1786 + }, + { + "epoch": 0.29783333333333334, + "grad_norm": 29.0, + "grad_norm_var": 1.0559709524843124e+18, + "learning_rate": 7.968499056913524e-05, + "loss": 7.2995, + "loss/crossentropy": 2.0745608508586884, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.30422502383589745, + "step": 1787 + }, + { + "epoch": 0.298, + "grad_norm": 29.625, + "grad_norm_var": 1.0559709525271293e+18, + "learning_rate": 7.966391985486003e-05, + "loss": 6.8864, + "loss/crossentropy": 2.19223316013813, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.16438164189457893, + "step": 1788 + }, + { + "epoch": 0.2981666666666667, + "grad_norm": 30.125, + "grad_norm_var": 1.0559709525742278e+18, + "learning_rate": 7.964284100805297e-05, + "loss": 6.9538, + "loss/crossentropy": 1.9663271009922028, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.20872559025883675, + "step": 1789 + }, + { + "epoch": 0.29833333333333334, + "grad_norm": 32.25, + "grad_norm_var": 2.2556640625, + "learning_rate": 7.96217540344929e-05, + "loss": 7.1325, + "loss/crossentropy": 2.1852712631225586, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.18366773799061775, + "step": 1790 + }, + { + "epoch": 0.2985, + "grad_norm": 28.5, + "grad_norm_var": 1.7837890625, + "learning_rate": 7.960065893996098e-05, + "loss": 7.1386, + "loss/crossentropy": 1.9224089086055756, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.1370961107313633, + "step": 1791 + }, + { + "epoch": 0.2986666666666667, + "grad_norm": 27.125, + "grad_norm_var": 1.89140625, + "learning_rate": 7.957955573024052e-05, + "loss": 6.9062, + "loss/crossentropy": 1.969079315662384, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.14765902236104012, + "step": 1792 + }, + { + "epoch": 0.29883333333333334, + "grad_norm": 32.25, + "grad_norm_var": 2.6927083333333335, + "learning_rate": 7.95584444111171e-05, + "loss": 7.0947, + "loss/crossentropy": 2.089136302471161, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.2019180990755558, + "step": 1793 + }, + { + "epoch": 0.299, + "grad_norm": 29.125, + "grad_norm_var": 2.6968098958333333, + "learning_rate": 7.95373249883785e-05, + "loss": 6.711, + "loss/crossentropy": 1.5635971426963806, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.20058362558484077, + "step": 1794 + }, + { + "epoch": 0.2991666666666667, + "grad_norm": 28.75, + "grad_norm_var": 2.6712890625, + "learning_rate": 7.951619746781474e-05, + "loss": 6.7382, + "loss/crossentropy": 1.8677619993686676, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1745459921658039, + "step": 1795 + }, + { + "epoch": 0.29933333333333334, + "grad_norm": 27.625, + "grad_norm_var": 2.725, + "learning_rate": 7.949506185521802e-05, + "loss": 6.9398, + "loss/crossentropy": 1.988951563835144, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.16441595181822777, + "step": 1796 + }, + { + "epoch": 0.2995, + "grad_norm": 26.625, + "grad_norm_var": 2.6025390625, + "learning_rate": 7.947391815638284e-05, + "loss": 7.0052, + "loss/crossentropy": 1.6859848499298096, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.2239336222410202, + "step": 1797 + }, + { + "epoch": 0.2996666666666667, + "grad_norm": 27.5, + "grad_norm_var": 2.6447265625, + "learning_rate": 7.945276637710582e-05, + "loss": 6.7844, + "loss/crossentropy": 1.5138292014598846, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17344660498201847, + "step": 1798 + }, + { + "epoch": 0.29983333333333334, + "grad_norm": 27.875, + "grad_norm_var": 2.662955729166667, + "learning_rate": 7.943160652318585e-05, + "loss": 7.0734, + "loss/crossentropy": 1.9331949353218079, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.16637888550758362, + "step": 1799 + }, + { + "epoch": 0.3, + "grad_norm": 27.375, + "grad_norm_var": 2.771875, + "learning_rate": 7.941043860042403e-05, + "loss": 6.8693, + "loss/crossentropy": 2.1852831840515137, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1701827198266983, + "step": 1800 + }, + { + "epoch": 0.3001666666666667, + "grad_norm": 29.0, + "grad_norm_var": 2.7244140625, + "learning_rate": 7.938926261462366e-05, + "loss": 6.8283, + "loss/crossentropy": 2.070968210697174, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.190330121666193, + "step": 1801 + }, + { + "epoch": 0.30033333333333334, + "grad_norm": 30.5, + "grad_norm_var": 2.83515625, + "learning_rate": 7.936807857159026e-05, + "loss": 6.9224, + "loss/crossentropy": 2.1456773579120636, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.18744849041104317, + "step": 1802 + }, + { + "epoch": 0.3005, + "grad_norm": 27.875, + "grad_norm_var": 2.9072265625, + "learning_rate": 7.934688647713158e-05, + "loss": 7.1863, + "loss/crossentropy": 1.7114560008049011, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.20561952143907547, + "step": 1803 + }, + { + "epoch": 0.3006666666666667, + "grad_norm": 31.125, + "grad_norm_var": 3.1962890625, + "learning_rate": 7.932568633705752e-05, + "loss": 7.0394, + "loss/crossentropy": 1.9421786963939667, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.1410901565104723, + "step": 1804 + }, + { + "epoch": 0.30083333333333334, + "grad_norm": 31.125, + "grad_norm_var": 3.4119140625, + "learning_rate": 7.930447815718022e-05, + "loss": 7.1017, + "loss/crossentropy": 1.1867583096027374, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.2174985706806183, + "step": 1805 + }, + { + "epoch": 0.301, + "grad_norm": 27.75, + "grad_norm_var": 2.7509765625, + "learning_rate": 7.928326194331404e-05, + "loss": 6.9254, + "loss/crossentropy": 1.2460341155529022, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.15135955065488815, + "step": 1806 + }, + { + "epoch": 0.3011666666666667, + "grad_norm": 28.125, + "grad_norm_var": 2.77265625, + "learning_rate": 7.926203770127552e-05, + "loss": 6.7957, + "loss/crossentropy": 1.5237163305282593, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.18431520834565163, + "step": 1807 + }, + { + "epoch": 0.30133333333333334, + "grad_norm": 27.125, + "grad_norm_var": 2.77265625, + "learning_rate": 7.924080543688337e-05, + "loss": 6.8361, + "loss/crossentropy": 1.6605301201343536, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.16298114135861397, + "step": 1808 + }, + { + "epoch": 0.3015, + "grad_norm": 26.0, + "grad_norm_var": 2.284375, + "learning_rate": 7.921956515595861e-05, + "loss": 7.2457, + "loss/crossentropy": 1.8478024005889893, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16555768065154552, + "step": 1809 + }, + { + "epoch": 0.3016666666666667, + "grad_norm": 30.75, + "grad_norm_var": 2.6186848958333333, + "learning_rate": 7.919831686432433e-05, + "loss": 6.9624, + "loss/crossentropy": 2.0245045125484467, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.17697810754179955, + "step": 1810 + }, + { + "epoch": 0.30183333333333334, + "grad_norm": 27.375, + "grad_norm_var": 2.6809895833333335, + "learning_rate": 7.917706056780587e-05, + "loss": 7.0756, + "loss/crossentropy": 1.7672982215881348, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1477302983403206, + "step": 1811 + }, + { + "epoch": 0.302, + "grad_norm": 29.0, + "grad_norm_var": 2.6645182291666667, + "learning_rate": 7.915579627223079e-05, + "loss": 7.2958, + "loss/crossentropy": 1.919701874256134, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.18852383643388748, + "step": 1812 + }, + { + "epoch": 0.30216666666666664, + "grad_norm": 29.625, + "grad_norm_var": 2.498893229166667, + "learning_rate": 7.913452398342881e-05, + "loss": 7.1196, + "loss/crossentropy": 1.9730682075023651, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1892014592885971, + "step": 1813 + }, + { + "epoch": 0.30233333333333334, + "grad_norm": 29.125, + "grad_norm_var": 2.4184895833333333, + "learning_rate": 7.911324370723183e-05, + "loss": 6.8, + "loss/crossentropy": 1.5512824952602386, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16365887969732285, + "step": 1814 + }, + { + "epoch": 0.3025, + "grad_norm": 28.875, + "grad_norm_var": 2.36640625, + "learning_rate": 7.909195544947398e-05, + "loss": 6.9363, + "loss/crossentropy": 1.9081394374370575, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16053590923547745, + "step": 1815 + }, + { + "epoch": 0.30266666666666664, + "grad_norm": 28.375, + "grad_norm_var": 2.2393229166666666, + "learning_rate": 7.907065921599154e-05, + "loss": 7.1773, + "loss/crossentropy": 1.6458862572908401, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.23366864770650864, + "step": 1816 + }, + { + "epoch": 0.30283333333333334, + "grad_norm": 27.75, + "grad_norm_var": 2.3135416666666666, + "learning_rate": 7.9049355012623e-05, + "loss": 6.986, + "loss/crossentropy": 1.9764463603496552, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17300384491682053, + "step": 1817 + }, + { + "epoch": 0.303, + "grad_norm": 29.375, + "grad_norm_var": 2.1348307291666666, + "learning_rate": 7.902804284520903e-05, + "loss": 7.1401, + "loss/crossentropy": 1.9698999524116516, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.15904537588357925, + "step": 1818 + }, + { + "epoch": 0.30316666666666664, + "grad_norm": 31.0, + "grad_norm_var": 2.396875, + "learning_rate": 7.900672271959247e-05, + "loss": 6.9962, + "loss/crossentropy": 2.1794964373111725, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.178677499294281, + "step": 1819 + }, + { + "epoch": 0.30333333333333334, + "grad_norm": 27.25, + "grad_norm_var": 2.1889973958333333, + "learning_rate": 7.898539464161838e-05, + "loss": 7.1041, + "loss/crossentropy": 1.5868679732084274, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.16324621438980103, + "step": 1820 + }, + { + "epoch": 0.3035, + "grad_norm": 27.125, + "grad_norm_var": 1.8764973958333333, + "learning_rate": 7.896405861713394e-05, + "loss": 6.8576, + "loss/crossentropy": 1.6912561655044556, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.16031718254089355, + "step": 1821 + }, + { + "epoch": 0.30366666666666664, + "grad_norm": 28.5, + "grad_norm_var": 1.8452473958333333, + "learning_rate": 7.894271465198857e-05, + "loss": 7.1175, + "loss/crossentropy": 1.627418577671051, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.18628519400954247, + "step": 1822 + }, + { + "epoch": 0.30383333333333334, + "grad_norm": 27.125, + "grad_norm_var": 1.9525390625, + "learning_rate": 7.892136275203383e-05, + "loss": 6.8954, + "loss/crossentropy": 1.6395491808652878, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1456153430044651, + "step": 1823 + }, + { + "epoch": 0.304, + "grad_norm": 29.125, + "grad_norm_var": 1.8629557291666667, + "learning_rate": 7.890000292312346e-05, + "loss": 6.9028, + "loss/crossentropy": 1.851139396429062, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17918989807367325, + "step": 1824 + }, + { + "epoch": 0.30416666666666664, + "grad_norm": 28.625, + "grad_norm_var": 1.4104166666666667, + "learning_rate": 7.887863517111338e-05, + "loss": 6.9461, + "loss/crossentropy": 2.1613464653491974, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16244490072131157, + "step": 1825 + }, + { + "epoch": 0.30433333333333334, + "grad_norm": 29.5, + "grad_norm_var": 1.1643229166666667, + "learning_rate": 7.88572595018617e-05, + "loss": 6.6463, + "loss/crossentropy": 1.636417955160141, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.17213625274598598, + "step": 1826 + }, + { + "epoch": 0.3045, + "grad_norm": 31.125, + "grad_norm_var": 1.4260416666666667, + "learning_rate": 7.883587592122863e-05, + "loss": 6.9601, + "loss/crossentropy": 1.8333800733089447, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1667829230427742, + "step": 1827 + }, + { + "epoch": 0.30466666666666664, + "grad_norm": 32.0, + "grad_norm_var": 2.051041666666667, + "learning_rate": 7.881448443507664e-05, + "loss": 6.9331, + "loss/crossentropy": 1.9271169006824493, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15610137209296227, + "step": 1828 + }, + { + "epoch": 0.30483333333333335, + "grad_norm": 28.625, + "grad_norm_var": 2.034375, + "learning_rate": 7.879308504927035e-05, + "loss": 7.1442, + "loss/crossentropy": 1.9399696290493011, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.21466120332479477, + "step": 1829 + }, + { + "epoch": 0.305, + "grad_norm": 29.5, + "grad_norm_var": 2.0509765625, + "learning_rate": 7.877167776967645e-05, + "loss": 7.1896, + "loss/crossentropy": 2.351029932498932, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.21430783718824387, + "step": 1830 + }, + { + "epoch": 0.30516666666666664, + "grad_norm": 29.125, + "grad_norm_var": 2.0509765625, + "learning_rate": 7.875026260216393e-05, + "loss": 6.7793, + "loss/crossentropy": 2.0612818002700806, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.2058713324368, + "step": 1831 + }, + { + "epoch": 0.30533333333333335, + "grad_norm": 27.875, + "grad_norm_var": 2.1087890625, + "learning_rate": 7.872883955260387e-05, + "loss": 7.0005, + "loss/crossentropy": 2.0101443231105804, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.21682747825980186, + "step": 1832 + }, + { + "epoch": 0.3055, + "grad_norm": 29.0, + "grad_norm_var": 2.0020182291666666, + "learning_rate": 7.87074086268695e-05, + "loss": 6.8333, + "loss/crossentropy": 2.177095741033554, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1732555888593197, + "step": 1833 + }, + { + "epoch": 0.30566666666666664, + "grad_norm": 26.625, + "grad_norm_var": 2.3572265625, + "learning_rate": 7.868596983083623e-05, + "loss": 6.9011, + "loss/crossentropy": 2.169644057750702, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.17804266512393951, + "step": 1834 + }, + { + "epoch": 0.30583333333333335, + "grad_norm": 28.125, + "grad_norm_var": 2.062239583333333, + "learning_rate": 7.866452317038164e-05, + "loss": 7.1436, + "loss/crossentropy": 2.098512828350067, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.15170537307858467, + "step": 1835 + }, + { + "epoch": 0.306, + "grad_norm": 29.625, + "grad_norm_var": 1.9546223958333333, + "learning_rate": 7.864306865138545e-05, + "loss": 7.0301, + "loss/crossentropy": 1.9148472547531128, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.1804008036851883, + "step": 1836 + }, + { + "epoch": 0.30616666666666664, + "grad_norm": 30.625, + "grad_norm_var": 1.9145182291666667, + "learning_rate": 7.862160627972955e-05, + "loss": 6.7096, + "loss/crossentropy": 1.6348781734704971, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.1898255255073309, + "step": 1837 + }, + { + "epoch": 0.30633333333333335, + "grad_norm": 31.75, + "grad_norm_var": 2.3275390625, + "learning_rate": 7.860013606129796e-05, + "loss": 7.2805, + "loss/crossentropy": 1.8533981144428253, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17210083827376366, + "step": 1838 + }, + { + "epoch": 0.3065, + "grad_norm": 27.25, + "grad_norm_var": 2.292708333333333, + "learning_rate": 7.857865800197684e-05, + "loss": 7.0091, + "loss/crossentropy": 2.3175882399082184, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.17278634011745453, + "step": 1839 + }, + { + "epoch": 0.30666666666666664, + "grad_norm": 27.25, + "grad_norm_var": 2.551497395833333, + "learning_rate": 7.855717210765456e-05, + "loss": 7.0248, + "loss/crossentropy": 2.3028687834739685, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.15742110460996628, + "step": 1840 + }, + { + "epoch": 0.30683333333333335, + "grad_norm": 27.375, + "grad_norm_var": 2.738997395833333, + "learning_rate": 7.85356783842216e-05, + "loss": 6.9937, + "loss/crossentropy": 2.003747597336769, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16512829810380936, + "step": 1841 + }, + { + "epoch": 0.307, + "grad_norm": 28.75, + "grad_norm_var": 2.7327473958333335, + "learning_rate": 7.851417683757053e-05, + "loss": 6.9281, + "loss/crossentropy": 1.8588949143886566, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.17192811891436577, + "step": 1842 + }, + { + "epoch": 0.30716666666666664, + "grad_norm": 26.875, + "grad_norm_var": 2.6796223958333334, + "learning_rate": 7.849266747359619e-05, + "loss": 6.9215, + "loss/crossentropy": 2.1861804723739624, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15846161916851997, + "step": 1843 + }, + { + "epoch": 0.30733333333333335, + "grad_norm": 28.625, + "grad_norm_var": 1.9395833333333334, + "learning_rate": 7.847115029819547e-05, + "loss": 6.6718, + "loss/crossentropy": 1.7861296236515045, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.18043068796396255, + "step": 1844 + }, + { + "epoch": 0.3075, + "grad_norm": 32.5, + "grad_norm_var": 2.9103515625, + "learning_rate": 7.84496253172674e-05, + "loss": 6.9739, + "loss/crossentropy": 2.0851745307445526, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1976468451321125, + "step": 1845 + }, + { + "epoch": 0.30766666666666664, + "grad_norm": 27.5, + "grad_norm_var": 2.9749348958333335, + "learning_rate": 7.84280925367132e-05, + "loss": 6.8783, + "loss/crossentropy": 1.716008022427559, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.15882867947220802, + "step": 1846 + }, + { + "epoch": 0.30783333333333335, + "grad_norm": 27.875, + "grad_norm_var": 2.9983723958333335, + "learning_rate": 7.84065519624362e-05, + "loss": 6.9803, + "loss/crossentropy": 2.172625035047531, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.163181871175766, + "step": 1847 + }, + { + "epoch": 0.308, + "grad_norm": 28.75, + "grad_norm_var": 2.9614583333333333, + "learning_rate": 7.838500360034188e-05, + "loss": 6.8901, + "loss/crossentropy": 1.9254584461450577, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15511753037571907, + "step": 1848 + }, + { + "epoch": 0.30816666666666664, + "grad_norm": 29.375, + "grad_norm_var": 2.987434895833333, + "learning_rate": 7.836344745633783e-05, + "loss": 6.9298, + "loss/crossentropy": 1.5840540379285812, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18015084601938725, + "step": 1849 + }, + { + "epoch": 0.30833333333333335, + "grad_norm": 31.875, + "grad_norm_var": 3.2718098958333335, + "learning_rate": 7.83418835363338e-05, + "loss": 7.0386, + "loss/crossentropy": 2.1513716876506805, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.19308988377451897, + "step": 1850 + }, + { + "epoch": 0.3085, + "grad_norm": 27.25, + "grad_norm_var": 3.42265625, + "learning_rate": 7.832031184624164e-05, + "loss": 7.2145, + "loss/crossentropy": 2.079343467950821, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.19979696348309517, + "step": 1851 + }, + { + "epoch": 0.30866666666666664, + "grad_norm": 34.0, + "grad_norm_var": 5.010872395833333, + "learning_rate": 7.829873239197538e-05, + "loss": 7.6086, + "loss/crossentropy": 2.1194871366024017, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.17705166339874268, + "step": 1852 + }, + { + "epoch": 0.30883333333333335, + "grad_norm": 28.25, + "grad_norm_var": 4.920572916666667, + "learning_rate": 7.827714517945115e-05, + "loss": 7.0366, + "loss/crossentropy": 2.1705428659915924, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.14574232324957848, + "step": 1853 + }, + { + "epoch": 0.309, + "grad_norm": 26.5, + "grad_norm_var": 4.772916666666666, + "learning_rate": 7.825555021458716e-05, + "loss": 7.0844, + "loss/crossentropy": 1.7408331781625748, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.1640627086162567, + "step": 1854 + }, + { + "epoch": 0.30916666666666665, + "grad_norm": 25.875, + "grad_norm_var": 5.166080729166667, + "learning_rate": 7.823394750330387e-05, + "loss": 6.7663, + "loss/crossentropy": 1.8554280549287796, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.15056144446134567, + "step": 1855 + }, + { + "epoch": 0.30933333333333335, + "grad_norm": 29.125, + "grad_norm_var": 5.032291666666667, + "learning_rate": 7.821233705152371e-05, + "loss": 6.9016, + "loss/crossentropy": 1.9535363018512726, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17445489764213562, + "step": 1856 + }, + { + "epoch": 0.3095, + "grad_norm": 29.875, + "grad_norm_var": 4.954166666666667, + "learning_rate": 7.819071886517134e-05, + "loss": 6.95, + "loss/crossentropy": 2.073364347219467, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.153484046459198, + "step": 1857 + }, + { + "epoch": 0.30966666666666665, + "grad_norm": 27.375, + "grad_norm_var": 5.106705729166666, + "learning_rate": 7.816909295017352e-05, + "loss": 6.9537, + "loss/crossentropy": 1.8409361839294434, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1687594186514616, + "step": 1858 + }, + { + "epoch": 0.30983333333333335, + "grad_norm": 26.75, + "grad_norm_var": 5.140625, + "learning_rate": 7.81474593124591e-05, + "loss": 6.9988, + "loss/crossentropy": 2.390802174806595, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.16115020215511322, + "step": 1859 + }, + { + "epoch": 0.31, + "grad_norm": 29.875, + "grad_norm_var": 5.201822916666667, + "learning_rate": 7.812581795795907e-05, + "loss": 6.9665, + "loss/crossentropy": 2.4145980775356293, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1627429723739624, + "step": 1860 + }, + { + "epoch": 0.31016666666666665, + "grad_norm": 27.375, + "grad_norm_var": 4.398372395833333, + "learning_rate": 7.810416889260653e-05, + "loss": 7.1229, + "loss/crossentropy": 1.765182375907898, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1748659312725067, + "step": 1861 + }, + { + "epoch": 0.31033333333333335, + "grad_norm": 25.75, + "grad_norm_var": 4.846809895833333, + "learning_rate": 7.80825121223367e-05, + "loss": 7.2131, + "loss/crossentropy": 1.5575336813926697, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.2208685576915741, + "step": 1862 + }, + { + "epoch": 0.3105, + "grad_norm": 27.625, + "grad_norm_var": 4.8712890625, + "learning_rate": 7.80608476530869e-05, + "loss": 6.7988, + "loss/crossentropy": 2.1647118628025055, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1658165119588375, + "step": 1863 + }, + { + "epoch": 0.31066666666666665, + "grad_norm": 27.5, + "grad_norm_var": 4.923372395833334, + "learning_rate": 7.803917549079655e-05, + "loss": 6.7471, + "loss/crossentropy": 2.0893578827381134, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1486968044191599, + "step": 1864 + }, + { + "epoch": 0.31083333333333335, + "grad_norm": 31.25, + "grad_norm_var": 5.387239583333334, + "learning_rate": 7.801749564140724e-05, + "loss": 6.7533, + "loss/crossentropy": 1.664018765091896, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1588103286921978, + "step": 1865 + }, + { + "epoch": 0.311, + "grad_norm": 29.875, + "grad_norm_var": 4.74140625, + "learning_rate": 7.799580811086258e-05, + "loss": 7.0641, + "loss/crossentropy": 2.0539465248584747, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.17147555574774742, + "step": 1866 + }, + { + "epoch": 0.31116666666666665, + "grad_norm": 28.25, + "grad_norm_var": 4.651822916666666, + "learning_rate": 7.797411290510835e-05, + "loss": 7.2884, + "loss/crossentropy": 2.532195746898651, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.17648249864578247, + "step": 1867 + }, + { + "epoch": 0.31133333333333335, + "grad_norm": 28.75, + "grad_norm_var": 2.4916666666666667, + "learning_rate": 7.795241003009241e-05, + "loss": 6.9523, + "loss/crossentropy": 1.7519483268260956, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.15154092013835907, + "step": 1868 + }, + { + "epoch": 0.3115, + "grad_norm": 27.25, + "grad_norm_var": 2.5375, + "learning_rate": 7.793069949176473e-05, + "loss": 7.0951, + "loss/crossentropy": 2.42670214176178, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.18340852856636047, + "step": 1869 + }, + { + "epoch": 0.31166666666666665, + "grad_norm": 28.5, + "grad_norm_var": 2.370833333333333, + "learning_rate": 7.790898129607738e-05, + "loss": 7.0135, + "loss/crossentropy": 1.7717819213867188, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1786283142864704, + "step": 1870 + }, + { + "epoch": 0.31183333333333335, + "grad_norm": 28.5, + "grad_norm_var": 1.9921223958333334, + "learning_rate": 7.788725544898452e-05, + "loss": 7.0672, + "loss/crossentropy": 2.011943757534027, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.17356741055846214, + "step": 1871 + }, + { + "epoch": 0.312, + "grad_norm": 31.5, + "grad_norm_var": 2.589583333333333, + "learning_rate": 7.78655219564424e-05, + "loss": 7.0741, + "loss/crossentropy": 1.7151790857315063, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.17846400290727615, + "step": 1872 + }, + { + "epoch": 0.31216666666666665, + "grad_norm": 28.25, + "grad_norm_var": 2.4567057291666665, + "learning_rate": 7.784378082440941e-05, + "loss": 7.004, + "loss/crossentropy": 1.5368647873401642, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15357893332839012, + "step": 1873 + }, + { + "epoch": 0.31233333333333335, + "grad_norm": 29.0, + "grad_norm_var": 2.4, + "learning_rate": 7.782203205884598e-05, + "loss": 7.0122, + "loss/crossentropy": 1.8639425337314606, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14916876703500748, + "step": 1874 + }, + { + "epoch": 0.3125, + "grad_norm": 28.625, + "grad_norm_var": 2.1822265625, + "learning_rate": 7.780027566571465e-05, + "loss": 7.1856, + "loss/crossentropy": 1.9556578546762466, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.17245961725711823, + "step": 1875 + }, + { + "epoch": 0.31266666666666665, + "grad_norm": 27.875, + "grad_norm_var": 2.096809895833333, + "learning_rate": 7.777851165098012e-05, + "loss": 6.7324, + "loss/crossentropy": 2.026822805404663, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.18160508200526237, + "step": 1876 + }, + { + "epoch": 0.31283333333333335, + "grad_norm": 27.625, + "grad_norm_var": 2.0634765625, + "learning_rate": 7.775674002060905e-05, + "loss": 6.8268, + "loss/crossentropy": 1.7767840176820755, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.1577366553246975, + "step": 1877 + }, + { + "epoch": 0.313, + "grad_norm": 28.5, + "grad_norm_var": 1.5249348958333333, + "learning_rate": 7.773496078057028e-05, + "loss": 7.064, + "loss/crossentropy": 1.944902926683426, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.168742710724473, + "step": 1878 + }, + { + "epoch": 0.31316666666666665, + "grad_norm": 28.75, + "grad_norm_var": 1.4458333333333333, + "learning_rate": 7.771317393683471e-05, + "loss": 6.9466, + "loss/crossentropy": 1.8553851544857025, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.14800599589943886, + "step": 1879 + }, + { + "epoch": 0.31333333333333335, + "grad_norm": 27.375, + "grad_norm_var": 1.4676432291666666, + "learning_rate": 7.769137949537532e-05, + "loss": 7.0088, + "loss/crossentropy": 1.9291760623455048, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1697034388780594, + "step": 1880 + }, + { + "epoch": 0.3135, + "grad_norm": 27.125, + "grad_norm_var": 1.1518229166666667, + "learning_rate": 7.766957746216721e-05, + "loss": 6.9248, + "loss/crossentropy": 1.8612181842327118, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1679140403866768, + "step": 1881 + }, + { + "epoch": 0.31366666666666665, + "grad_norm": 29.5, + "grad_norm_var": 1.0910807291666667, + "learning_rate": 7.764776784318751e-05, + "loss": 7.2471, + "loss/crossentropy": 2.191984862089157, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.17184484750032425, + "step": 1882 + }, + { + "epoch": 0.31383333333333335, + "grad_norm": 29.25, + "grad_norm_var": 1.1254557291666667, + "learning_rate": 7.762595064441542e-05, + "loss": 6.9915, + "loss/crossentropy": 1.526157170534134, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.1863459274172783, + "step": 1883 + }, + { + "epoch": 0.314, + "grad_norm": 26.875, + "grad_norm_var": 1.2885416666666667, + "learning_rate": 7.76041258718323e-05, + "loss": 6.7897, + "loss/crossentropy": 2.211887240409851, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.18450935557484627, + "step": 1884 + }, + { + "epoch": 0.31416666666666665, + "grad_norm": 28.375, + "grad_norm_var": 1.1942057291666666, + "learning_rate": 7.758229353142152e-05, + "loss": 6.9123, + "loss/crossentropy": 1.8004077523946762, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.17727744579315186, + "step": 1885 + }, + { + "epoch": 0.31433333333333335, + "grad_norm": 26.25, + "grad_norm_var": 1.5035807291666667, + "learning_rate": 7.756045362916853e-05, + "loss": 7.147, + "loss/crossentropy": 2.127860367298126, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.17892053723335266, + "step": 1886 + }, + { + "epoch": 0.3145, + "grad_norm": 27.375, + "grad_norm_var": 1.5580729166666667, + "learning_rate": 7.753860617106086e-05, + "loss": 7.0284, + "loss/crossentropy": 1.8950550258159637, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.16944055259227753, + "step": 1887 + }, + { + "epoch": 0.31466666666666665, + "grad_norm": 27.5, + "grad_norm_var": 0.8330729166666667, + "learning_rate": 7.751675116308812e-05, + "loss": 6.9634, + "loss/crossentropy": 2.330602705478668, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.2036605067551136, + "step": 1888 + }, + { + "epoch": 0.31483333333333335, + "grad_norm": 29.875, + "grad_norm_var": 1.0488932291666666, + "learning_rate": 7.7494888611242e-05, + "loss": 6.9335, + "loss/crossentropy": 2.0412495732307434, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.15381069295108318, + "step": 1889 + }, + { + "epoch": 0.315, + "grad_norm": 32.0, + "grad_norm_var": 1.9645182291666667, + "learning_rate": 7.747301852151621e-05, + "loss": 7.384, + "loss/crossentropy": 2.0527972877025604, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.2628222927451134, + "step": 1890 + }, + { + "epoch": 0.31516666666666665, + "grad_norm": 46.75, + "grad_norm_var": 23.270833333333332, + "learning_rate": 7.74511408999066e-05, + "loss": 6.6958, + "loss/crossentropy": 1.98073011636734, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.14221810549497604, + "step": 1891 + }, + { + "epoch": 0.31533333333333335, + "grad_norm": 35.5, + "grad_norm_var": 25.316080729166668, + "learning_rate": 7.7429255752411e-05, + "loss": 7.1242, + "loss/crossentropy": 2.39505735039711, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.2730525992810726, + "step": 1892 + }, + { + "epoch": 0.3155, + "grad_norm": 34.5, + "grad_norm_var": 26.171875, + "learning_rate": 7.740736308502938e-05, + "loss": 6.9788, + "loss/crossentropy": 2.0846723914146423, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1551859974861145, + "step": 1893 + }, + { + "epoch": 0.31566666666666665, + "grad_norm": 30.125, + "grad_norm_var": 25.937434895833334, + "learning_rate": 7.738546290376373e-05, + "loss": 7.0442, + "loss/crossentropy": 2.0316117107868195, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.1621059998869896, + "step": 1894 + }, + { + "epoch": 0.31583333333333335, + "grad_norm": 28.5, + "grad_norm_var": 25.9978515625, + "learning_rate": 7.736355521461811e-05, + "loss": 6.9462, + "loss/crossentropy": 2.3520907759666443, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.17579379677772522, + "step": 1895 + }, + { + "epoch": 0.316, + "grad_norm": 28.0, + "grad_norm_var": 25.767708333333335, + "learning_rate": 7.734164002359863e-05, + "loss": 7.2404, + "loss/crossentropy": 2.273442804813385, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.17573808506131172, + "step": 1896 + }, + { + "epoch": 0.31616666666666665, + "grad_norm": 28.375, + "grad_norm_var": 25.308072916666667, + "learning_rate": 7.731971733671346e-05, + "loss": 6.9272, + "loss/crossentropy": 1.351926103234291, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15564968809485435, + "step": 1897 + }, + { + "epoch": 0.31633333333333336, + "grad_norm": 28.5, + "grad_norm_var": 25.51015625, + "learning_rate": 7.729778715997284e-05, + "loss": 7.4024, + "loss/crossentropy": 2.081222802400589, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.18974365293979645, + "step": 1898 + }, + { + "epoch": 0.3165, + "grad_norm": 28.75, + "grad_norm_var": 25.608072916666668, + "learning_rate": 7.727584949938907e-05, + "loss": 7.0304, + "loss/crossentropy": 1.9955406785011292, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.17021814361214638, + "step": 1899 + }, + { + "epoch": 0.31666666666666665, + "grad_norm": 25.875, + "grad_norm_var": 26.14765625, + "learning_rate": 7.725390436097643e-05, + "loss": 6.8998, + "loss/crossentropy": 1.763851821422577, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15010467544198036, + "step": 1900 + }, + { + "epoch": 0.31683333333333336, + "grad_norm": 28.875, + "grad_norm_var": 26.02890625, + "learning_rate": 7.723195175075136e-05, + "loss": 7.1744, + "loss/crossentropy": 1.6632992774248123, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.19061791524291039, + "step": 1901 + }, + { + "epoch": 0.317, + "grad_norm": 27.5, + "grad_norm_var": 25.43125, + "learning_rate": 7.720999167473227e-05, + "loss": 6.9959, + "loss/crossentropy": 2.0862348079681396, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.178208339959383, + "step": 1902 + }, + { + "epoch": 0.31716666666666665, + "grad_norm": 30.5, + "grad_norm_var": 24.739518229166666, + "learning_rate": 7.718802413893963e-05, + "loss": 7.058, + "loss/crossentropy": 1.7267999649047852, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1783318817615509, + "step": 1903 + }, + { + "epoch": 0.31733333333333336, + "grad_norm": 28.25, + "grad_norm_var": 24.455143229166666, + "learning_rate": 7.716604914939598e-05, + "loss": 7.0828, + "loss/crossentropy": 1.5275295078754425, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16118833236396313, + "step": 1904 + }, + { + "epoch": 0.3175, + "grad_norm": 29.375, + "grad_norm_var": 24.528580729166666, + "learning_rate": 7.714406671212589e-05, + "loss": 7.0106, + "loss/crossentropy": 1.7048605680465698, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.2020227424800396, + "step": 1905 + }, + { + "epoch": 0.31766666666666665, + "grad_norm": 33.25, + "grad_norm_var": 24.841080729166666, + "learning_rate": 7.712207683315594e-05, + "loss": 6.9846, + "loss/crossentropy": 2.0892388224601746, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.1827050819993019, + "step": 1906 + }, + { + "epoch": 0.31783333333333336, + "grad_norm": 28.625, + "grad_norm_var": 6.801041666666666, + "learning_rate": 7.710007951851481e-05, + "loss": 6.8979, + "loss/crossentropy": 2.1098845303058624, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.19750048220157623, + "step": 1907 + }, + { + "epoch": 0.318, + "grad_norm": 28.375, + "grad_norm_var": 4.422330729166666, + "learning_rate": 7.707807477423319e-05, + "loss": 6.948, + "loss/crossentropy": 1.733251303434372, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.15958409011363983, + "step": 1908 + }, + { + "epoch": 0.31816666666666665, + "grad_norm": 26.75, + "grad_norm_var": 2.7108723958333334, + "learning_rate": 7.705606260634379e-05, + "loss": 6.8363, + "loss/crossentropy": 1.514521986246109, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.17583103105425835, + "step": 1909 + }, + { + "epoch": 0.31833333333333336, + "grad_norm": 27.375, + "grad_norm_var": 2.670768229166667, + "learning_rate": 7.703404302088138e-05, + "loss": 7.1215, + "loss/crossentropy": 1.9598141610622406, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.15689461305737495, + "step": 1910 + }, + { + "epoch": 0.3185, + "grad_norm": 26.625, + "grad_norm_var": 2.904166666666667, + "learning_rate": 7.701201602388276e-05, + "loss": 6.9337, + "loss/crossentropy": 1.842720240354538, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.14397680386900902, + "step": 1911 + }, + { + "epoch": 0.31866666666666665, + "grad_norm": 29.625, + "grad_norm_var": 2.9744140625, + "learning_rate": 7.698998162138673e-05, + "loss": 7.1878, + "loss/crossentropy": 2.3376344740390778, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1679596770554781, + "step": 1912 + }, + { + "epoch": 0.31883333333333336, + "grad_norm": 28.875, + "grad_norm_var": 2.9791015625, + "learning_rate": 7.696793981943417e-05, + "loss": 6.9773, + "loss/crossentropy": 1.621836394071579, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.1444191113114357, + "step": 1913 + }, + { + "epoch": 0.319, + "grad_norm": 29.625, + "grad_norm_var": 3.04765625, + "learning_rate": 7.694589062406796e-05, + "loss": 7.1688, + "loss/crossentropy": 1.625129222869873, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.17418662458658218, + "step": 1914 + }, + { + "epoch": 0.31916666666666665, + "grad_norm": 26.5, + "grad_norm_var": 3.33125, + "learning_rate": 7.692383404133301e-05, + "loss": 6.8318, + "loss/crossentropy": 1.949428677558899, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.14501073956489563, + "step": 1915 + }, + { + "epoch": 0.31933333333333336, + "grad_norm": 27.375, + "grad_norm_var": 2.946875, + "learning_rate": 7.690177007727625e-05, + "loss": 6.9557, + "loss/crossentropy": 2.4070207476615906, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.16160456836223602, + "step": 1916 + }, + { + "epoch": 0.3195, + "grad_norm": 28.25, + "grad_norm_var": 2.9478515625, + "learning_rate": 7.687969873794667e-05, + "loss": 6.844, + "loss/crossentropy": 1.9400338232517242, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.16128266230225563, + "step": 1917 + }, + { + "epoch": 0.31966666666666665, + "grad_norm": 27.5, + "grad_norm_var": 2.9478515625, + "learning_rate": 7.685762002939523e-05, + "loss": 6.8573, + "loss/crossentropy": 1.428574338555336, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1694641150534153, + "step": 1918 + }, + { + "epoch": 0.31983333333333336, + "grad_norm": 31.125, + "grad_norm_var": 3.134375, + "learning_rate": 7.683553395767492e-05, + "loss": 7.0193, + "loss/crossentropy": 2.0802846550941467, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16207095049321651, + "step": 1919 + }, + { + "epoch": 0.32, + "grad_norm": 27.875, + "grad_norm_var": 3.1603515625, + "learning_rate": 7.681344052884077e-05, + "loss": 6.9388, + "loss/crossentropy": 1.8136779963970184, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16628169268369675, + "step": 1920 + }, + { + "epoch": 0.32016666666666665, + "grad_norm": 28.625, + "grad_norm_var": 3.1150390625, + "learning_rate": 7.679133974894983e-05, + "loss": 7.1336, + "loss/crossentropy": 2.026133418083191, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.24948590621352196, + "step": 1921 + }, + { + "epoch": 0.32033333333333336, + "grad_norm": 27.125, + "grad_norm_var": 1.5997395833333334, + "learning_rate": 7.676923162406115e-05, + "loss": 6.9633, + "loss/crossentropy": 1.9579945504665375, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1824035346508026, + "step": 1922 + }, + { + "epoch": 0.3205, + "grad_norm": 27.625, + "grad_norm_var": 1.59765625, + "learning_rate": 7.674711616023581e-05, + "loss": 7.1175, + "loss/crossentropy": 1.739817202091217, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.14868185482919216, + "step": 1923 + }, + { + "epoch": 0.32066666666666666, + "grad_norm": 26.125, + "grad_norm_var": 1.825, + "learning_rate": 7.672499336353687e-05, + "loss": 6.9857, + "loss/crossentropy": 1.5688129663467407, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1715860553085804, + "step": 1924 + }, + { + "epoch": 0.32083333333333336, + "grad_norm": 27.125, + "grad_norm_var": 1.7744140625, + "learning_rate": 7.670286324002944e-05, + "loss": 6.9274, + "loss/crossentropy": 1.1536138653755188, + "loss/hidden": 3.7109375, + "loss/jsd": 0.0, + "loss/logits": 0.17496302723884583, + "step": 1925 + }, + { + "epoch": 0.321, + "grad_norm": 26.875, + "grad_norm_var": 1.8291015625, + "learning_rate": 7.668072579578058e-05, + "loss": 6.8287, + "loss/crossentropy": 1.8669564425945282, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.15517407283186913, + "step": 1926 + }, + { + "epoch": 0.32116666666666666, + "grad_norm": 28.75, + "grad_norm_var": 1.7416666666666667, + "learning_rate": 7.665858103685944e-05, + "loss": 7.3803, + "loss/crossentropy": 2.134288877248764, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.15177594125270844, + "step": 1927 + }, + { + "epoch": 0.32133333333333336, + "grad_norm": 28.625, + "grad_norm_var": 1.5958333333333334, + "learning_rate": 7.663642896933712e-05, + "loss": 6.9012, + "loss/crossentropy": 2.088742196559906, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1822258047759533, + "step": 1928 + }, + { + "epoch": 0.3215, + "grad_norm": 32.5, + "grad_norm_var": 2.8400390625, + "learning_rate": 7.66142695992867e-05, + "loss": 6.8775, + "loss/crossentropy": 1.3785552233457565, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.16557445004582405, + "step": 1929 + }, + { + "epoch": 0.32166666666666666, + "grad_norm": 29.125, + "grad_norm_var": 2.762434895833333, + "learning_rate": 7.659210293278334e-05, + "loss": 6.9856, + "loss/crossentropy": 1.8797550201416016, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1681162305176258, + "step": 1930 + }, + { + "epoch": 0.32183333333333336, + "grad_norm": 29.25, + "grad_norm_var": 2.6134765625, + "learning_rate": 7.656992897590414e-05, + "loss": 7.3109, + "loss/crossentropy": 2.0877412259578705, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16942401975393295, + "step": 1931 + }, + { + "epoch": 0.322, + "grad_norm": 27.875, + "grad_norm_var": 2.5629557291666667, + "learning_rate": 7.654774773472823e-05, + "loss": 6.8469, + "loss/crossentropy": 1.7201172709465027, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.138444684445858, + "step": 1932 + }, + { + "epoch": 0.32216666666666666, + "grad_norm": 29.625, + "grad_norm_var": 2.65390625, + "learning_rate": 7.65255592153367e-05, + "loss": 6.8102, + "loss/crossentropy": 2.1534808576107025, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.1507816929370165, + "step": 1933 + }, + { + "epoch": 0.32233333333333336, + "grad_norm": 30.0, + "grad_norm_var": 2.71640625, + "learning_rate": 7.650336342381269e-05, + "loss": 7.2222, + "loss/crossentropy": 1.9072502553462982, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.17374767735600471, + "step": 1934 + }, + { + "epoch": 0.3225, + "grad_norm": 26.75, + "grad_norm_var": 2.4634765625, + "learning_rate": 7.648116036624126e-05, + "loss": 7.1072, + "loss/crossentropy": 1.803395539522171, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1871289536356926, + "step": 1935 + }, + { + "epoch": 0.32266666666666666, + "grad_norm": 28.625, + "grad_norm_var": 2.4494140625, + "learning_rate": 7.645895004870954e-05, + "loss": 6.7908, + "loss/crossentropy": 2.277501791715622, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16612669080495834, + "step": 1936 + }, + { + "epoch": 0.32283333333333336, + "grad_norm": 28.375, + "grad_norm_var": 2.4462890625, + "learning_rate": 7.643673247730658e-05, + "loss": 6.9223, + "loss/crossentropy": 1.8814960718154907, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.18017802387475967, + "step": 1937 + }, + { + "epoch": 0.323, + "grad_norm": 26.0, + "grad_norm_var": 2.71640625, + "learning_rate": 7.64145076581235e-05, + "loss": 6.8307, + "loss/crossentropy": 1.9739068448543549, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.1549847535789013, + "step": 1938 + }, + { + "epoch": 0.32316666666666666, + "grad_norm": 27.125, + "grad_norm_var": 2.77890625, + "learning_rate": 7.639227559725332e-05, + "loss": 7.067, + "loss/crossentropy": 1.6122899651527405, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17071114107966423, + "step": 1939 + }, + { + "epoch": 0.3233333333333333, + "grad_norm": 27.875, + "grad_norm_var": 2.4635416666666665, + "learning_rate": 7.637003630079111e-05, + "loss": 7.0653, + "loss/crossentropy": 2.1543132662773132, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.20121221616864204, + "step": 1940 + }, + { + "epoch": 0.3235, + "grad_norm": 30.0, + "grad_norm_var": 2.488997395833333, + "learning_rate": 7.634778977483389e-05, + "loss": 6.9078, + "loss/crossentropy": 1.7137659192085266, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.21240157261490822, + "step": 1941 + }, + { + "epoch": 0.32366666666666666, + "grad_norm": 28.75, + "grad_norm_var": 2.280989583333333, + "learning_rate": 7.632553602548065e-05, + "loss": 6.8976, + "loss/crossentropy": 2.4341808557510376, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1924213208258152, + "step": 1942 + }, + { + "epoch": 0.3238333333333333, + "grad_norm": 27.625, + "grad_norm_var": 2.3530598958333333, + "learning_rate": 7.630327505883242e-05, + "loss": 6.8271, + "loss/crossentropy": 1.8177705109119415, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17030875384807587, + "step": 1943 + }, + { + "epoch": 0.324, + "grad_norm": 29.75, + "grad_norm_var": 2.4309895833333335, + "learning_rate": 7.628100688099215e-05, + "loss": 7.0423, + "loss/crossentropy": 2.3800909519195557, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.19012291356921196, + "step": 1944 + }, + { + "epoch": 0.32416666666666666, + "grad_norm": 26.75, + "grad_norm_var": 1.5864583333333333, + "learning_rate": 7.62587314980648e-05, + "loss": 6.9541, + "loss/crossentropy": 1.9023642838001251, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.16839328408241272, + "step": 1945 + }, + { + "epoch": 0.3243333333333333, + "grad_norm": 29.5, + "grad_norm_var": 1.6343098958333333, + "learning_rate": 7.623644891615727e-05, + "loss": 6.9947, + "loss/crossentropy": 2.4591980576515198, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.18968886137008667, + "step": 1946 + }, + { + "epoch": 0.3245, + "grad_norm": 28.5, + "grad_norm_var": 1.5811848958333334, + "learning_rate": 7.621415914137846e-05, + "loss": 7.0245, + "loss/crossentropy": 2.207227349281311, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.2148870788514614, + "step": 1947 + }, + { + "epoch": 0.32466666666666666, + "grad_norm": 25.625, + "grad_norm_var": 2.0311848958333334, + "learning_rate": 7.619186217983924e-05, + "loss": 6.8463, + "loss/crossentropy": 1.7848967611789703, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.19068965688347816, + "step": 1948 + }, + { + "epoch": 0.3248333333333333, + "grad_norm": 26.75, + "grad_norm_var": 1.99375, + "learning_rate": 7.616955803765249e-05, + "loss": 7.0644, + "loss/crossentropy": 2.094870924949646, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15366321429610252, + "step": 1949 + }, + { + "epoch": 0.325, + "grad_norm": 30.0, + "grad_norm_var": 1.99375, + "learning_rate": 7.614724672093296e-05, + "loss": 6.943, + "loss/crossentropy": 2.6652117371559143, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.1893642321228981, + "step": 1950 + }, + { + "epoch": 0.32516666666666666, + "grad_norm": 26.75, + "grad_norm_var": 1.99375, + "learning_rate": 7.612492823579745e-05, + "loss": 7.0461, + "loss/crossentropy": 2.2999298870563507, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.19316185265779495, + "step": 1951 + }, + { + "epoch": 0.3253333333333333, + "grad_norm": 29.625, + "grad_norm_var": 2.1395833333333334, + "learning_rate": 7.61026025883647e-05, + "loss": 6.8431, + "loss/crossentropy": 1.5892395228147507, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.174812950193882, + "step": 1952 + }, + { + "epoch": 0.3255, + "grad_norm": 27.75, + "grad_norm_var": 2.137955729166667, + "learning_rate": 7.60802697847554e-05, + "loss": 7.2168, + "loss/crossentropy": 1.9761822819709778, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.13490652292966843, + "step": 1953 + }, + { + "epoch": 0.32566666666666666, + "grad_norm": 27.5, + "grad_norm_var": 1.8738932291666666, + "learning_rate": 7.605792983109222e-05, + "loss": 6.8934, + "loss/crossentropy": 2.2519370019435883, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.180035088211298, + "step": 1954 + }, + { + "epoch": 0.3258333333333333, + "grad_norm": 29.625, + "grad_norm_var": 1.9337890625, + "learning_rate": 7.60355827334998e-05, + "loss": 6.8198, + "loss/crossentropy": 1.5578933954238892, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.19093408435583115, + "step": 1955 + }, + { + "epoch": 0.326, + "grad_norm": 50.75, + "grad_norm_var": 33.42265625, + "learning_rate": 7.60132284981047e-05, + "loss": 6.9115, + "loss/crossentropy": 2.2493423223495483, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.2549340948462486, + "step": 1956 + }, + { + "epoch": 0.32616666666666666, + "grad_norm": 30.625, + "grad_norm_var": 33.47180989583333, + "learning_rate": 7.599086713103547e-05, + "loss": 7.04, + "loss/crossentropy": 1.8345628380775452, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.19467304274439812, + "step": 1957 + }, + { + "epoch": 0.3263333333333333, + "grad_norm": 30.0, + "grad_norm_var": 33.4041015625, + "learning_rate": 7.596849863842263e-05, + "loss": 7.1351, + "loss/crossentropy": 2.14158171415329, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.15880156680941582, + "step": 1958 + }, + { + "epoch": 0.3265, + "grad_norm": 28.0, + "grad_norm_var": 33.303125, + "learning_rate": 7.594612302639859e-05, + "loss": 6.9193, + "loss/crossentropy": 1.8796173632144928, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.19231846183538437, + "step": 1959 + }, + { + "epoch": 0.32666666666666666, + "grad_norm": 28.875, + "grad_norm_var": 33.3619140625, + "learning_rate": 7.592374030109777e-05, + "loss": 6.9745, + "loss/crossentropy": 1.9451691210269928, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16280245408415794, + "step": 1960 + }, + { + "epoch": 0.3268333333333333, + "grad_norm": 29.0, + "grad_norm_var": 32.7666015625, + "learning_rate": 7.590135046865651e-05, + "loss": 7.049, + "loss/crossentropy": 1.925338327884674, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.1880045346915722, + "step": 1961 + }, + { + "epoch": 0.327, + "grad_norm": 28.375, + "grad_norm_var": 32.91015625, + "learning_rate": 7.587895353521314e-05, + "loss": 6.9306, + "loss/crossentropy": 1.6036016643047333, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.15349698439240456, + "step": 1962 + }, + { + "epoch": 0.32716666666666666, + "grad_norm": 26.5, + "grad_norm_var": 33.52265625, + "learning_rate": 7.585654950690786e-05, + "loss": 6.9653, + "loss/crossentropy": 1.9686013758182526, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.17552976310253143, + "step": 1963 + }, + { + "epoch": 0.3273333333333333, + "grad_norm": 29.25, + "grad_norm_var": 32.357747395833336, + "learning_rate": 7.58341383898829e-05, + "loss": 7.0797, + "loss/crossentropy": 2.07719424366951, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.22164364904165268, + "step": 1964 + }, + { + "epoch": 0.3275, + "grad_norm": 26.5, + "grad_norm_var": 32.468684895833334, + "learning_rate": 7.581172019028238e-05, + "loss": 6.9607, + "loss/crossentropy": 1.857707530260086, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1626106183975935, + "step": 1965 + }, + { + "epoch": 0.32766666666666666, + "grad_norm": 27.0, + "grad_norm_var": 33.00930989583333, + "learning_rate": 7.578929491425238e-05, + "loss": 7.0241, + "loss/crossentropy": 2.13506418466568, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.15958191826939583, + "step": 1966 + }, + { + "epoch": 0.3278333333333333, + "grad_norm": 30.5, + "grad_norm_var": 32.38430989583333, + "learning_rate": 7.576686256794091e-05, + "loss": 7.1273, + "loss/crossentropy": 2.255886882543564, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.1753615103662014, + "step": 1967 + }, + { + "epoch": 0.328, + "grad_norm": 29.25, + "grad_norm_var": 32.411458333333336, + "learning_rate": 7.574442315749793e-05, + "loss": 7.112, + "loss/crossentropy": 2.3582537472248077, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17308564484119415, + "step": 1968 + }, + { + "epoch": 0.32816666666666666, + "grad_norm": 30.0, + "grad_norm_var": 32.06223958333333, + "learning_rate": 7.572197668907532e-05, + "loss": 6.8533, + "loss/crossentropy": 1.699579805135727, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1667851246893406, + "step": 1969 + }, + { + "epoch": 0.3283333333333333, + "grad_norm": 26.125, + "grad_norm_var": 32.6587890625, + "learning_rate": 7.569952316882694e-05, + "loss": 7.088, + "loss/crossentropy": 2.3635705411434174, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1791570819914341, + "step": 1970 + }, + { + "epoch": 0.3285, + "grad_norm": 26.25, + "grad_norm_var": 33.55, + "learning_rate": 7.567706260290851e-05, + "loss": 6.7652, + "loss/crossentropy": 2.054261475801468, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.1568579562008381, + "step": 1971 + }, + { + "epoch": 0.32866666666666666, + "grad_norm": 27.625, + "grad_norm_var": 2.4155598958333333, + "learning_rate": 7.565459499747775e-05, + "loss": 6.7638, + "loss/crossentropy": 1.8203125, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17247551307082176, + "step": 1972 + }, + { + "epoch": 0.3288333333333333, + "grad_norm": 27.75, + "grad_norm_var": 2.066666666666667, + "learning_rate": 7.563212035869425e-05, + "loss": 6.5917, + "loss/crossentropy": 1.909549057483673, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.15480611845850945, + "step": 1973 + }, + { + "epoch": 0.329, + "grad_norm": 4630511616.0, + "grad_norm_var": 1.340102347874055e+18, + "learning_rate": 7.56096386927196e-05, + "loss": 8.2574, + "loss/crossentropy": 1.8203900903463364, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15148979425430298, + "step": 1974 + }, + { + "epoch": 0.32916666666666666, + "grad_norm": 30.625, + "grad_norm_var": 1.3401023477727626e+18, + "learning_rate": 7.558715000571726e-05, + "loss": 7.0224, + "loss/crossentropy": 2.227582097053528, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.18255995586514473, + "step": 1975 + }, + { + "epoch": 0.3293333333333333, + "grad_norm": 31.875, + "grad_norm_var": 1.3401023476569997e+18, + "learning_rate": 7.55646543038526e-05, + "loss": 6.6633, + "loss/crossentropy": 2.0235438346862793, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.14363868162035942, + "step": 1976 + }, + { + "epoch": 0.3295, + "grad_norm": 28.375, + "grad_norm_var": 1.340102347681117e+18, + "learning_rate": 7.5542151593293e-05, + "loss": 6.7019, + "loss/crossentropy": 1.7277594953775406, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.15272897109389305, + "step": 1977 + }, + { + "epoch": 0.32966666666666666, + "grad_norm": 27.875, + "grad_norm_var": 1.340102347700411e+18, + "learning_rate": 7.551964188020766e-05, + "loss": 6.8864, + "loss/crossentropy": 2.0088874995708466, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.20240258052945137, + "step": 1978 + }, + { + "epoch": 0.3298333333333333, + "grad_norm": 26.75, + "grad_norm_var": 1.340102347690764e+18, + "learning_rate": 7.549712517076777e-05, + "loss": 6.6294, + "loss/crossentropy": 2.180763453245163, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1812187097966671, + "step": 1979 + }, + { + "epoch": 0.33, + "grad_norm": 28.5, + "grad_norm_var": 1.3401023477197046e+18, + "learning_rate": 7.547460147114641e-05, + "loss": 6.9854, + "loss/crossentropy": 1.9047144949436188, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1809837929904461, + "step": 1980 + }, + { + "epoch": 0.33016666666666666, + "grad_norm": 29.125, + "grad_norm_var": 1.3401023476184123e+18, + "learning_rate": 7.545207078751857e-05, + "loss": 6.9115, + "loss/crossentropy": 1.8136049807071686, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.17625956237316132, + "step": 1981 + }, + { + "epoch": 0.3303333333333333, + "grad_norm": 28.75, + "grad_norm_var": 1.3401023475508838e+18, + "learning_rate": 7.542953312606117e-05, + "loss": 6.8522, + "loss/crossentropy": 1.8081963956356049, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.19056766852736473, + "step": 1982 + }, + { + "epoch": 0.3305, + "grad_norm": 29.5, + "grad_norm_var": 1.3401023475894715e+18, + "learning_rate": 7.540698849295305e-05, + "loss": 7.0558, + "loss/crossentropy": 1.7935562431812286, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18458115682005882, + "step": 1983 + }, + { + "epoch": 0.33066666666666666, + "grad_norm": 28.625, + "grad_norm_var": 1.3401023476135887e+18, + "learning_rate": 7.538443689437492e-05, + "loss": 6.7505, + "loss/crossentropy": 1.2718239575624466, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.14389248006045818, + "step": 1984 + }, + { + "epoch": 0.3308333333333333, + "grad_norm": 27.5, + "grad_norm_var": 1.3401023477100577e+18, + "learning_rate": 7.536187833650947e-05, + "loss": 6.8596, + "loss/crossentropy": 1.7777176648378372, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.14321670681238174, + "step": 1985 + }, + { + "epoch": 0.331, + "grad_norm": 27.875, + "grad_norm_var": 1.3401023476425295e+18, + "learning_rate": 7.53393128255412e-05, + "loss": 6.9501, + "loss/crossentropy": 2.031786859035492, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.1821003295481205, + "step": 1986 + }, + { + "epoch": 0.33116666666666666, + "grad_norm": 29.375, + "grad_norm_var": 1.3401023475219433e+18, + "learning_rate": 7.531674036765662e-05, + "loss": 7.1937, + "loss/crossentropy": 2.1827369332313538, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.20355921983718872, + "step": 1987 + }, + { + "epoch": 0.3313333333333333, + "grad_norm": 28.625, + "grad_norm_var": 1.3401023474833556e+18, + "learning_rate": 7.52941609690441e-05, + "loss": 7.0974, + "loss/crossentropy": 1.684326320886612, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.14068151265382767, + "step": 1988 + }, + { + "epoch": 0.3315, + "grad_norm": 28.125, + "grad_norm_var": 1.3401023474688852e+18, + "learning_rate": 7.52715746358939e-05, + "loss": 6.8646, + "loss/crossentropy": 1.736901193857193, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1760329306125641, + "step": 1989 + }, + { + "epoch": 0.33166666666666667, + "grad_norm": 27.5, + "grad_norm_var": 1.5729166666666667, + "learning_rate": 7.524898137439814e-05, + "loss": 6.7771, + "loss/crossentropy": 2.0175153017044067, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.18924446776509285, + "step": 1990 + }, + { + "epoch": 0.3318333333333333, + "grad_norm": 28.375, + "grad_norm_var": 1.3080729166666667, + "learning_rate": 7.522638119075096e-05, + "loss": 6.9701, + "loss/crossentropy": 1.6442890465259552, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.1708950586616993, + "step": 1991 + }, + { + "epoch": 0.332, + "grad_norm": 28.125, + "grad_norm_var": 0.5229166666666667, + "learning_rate": 7.520377409114831e-05, + "loss": 6.9788, + "loss/crossentropy": 2.2745184898376465, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.17724668234586716, + "step": 1992 + }, + { + "epoch": 0.33216666666666667, + "grad_norm": 27.25, + "grad_norm_var": 0.5926432291666667, + "learning_rate": 7.518116008178805e-05, + "loss": 6.9768, + "loss/crossentropy": 1.7873744368553162, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.26323091611266136, + "step": 1993 + }, + { + "epoch": 0.3323333333333333, + "grad_norm": 28.25, + "grad_norm_var": 0.5830729166666667, + "learning_rate": 7.515853916886993e-05, + "loss": 6.7853, + "loss/crossentropy": 1.8601644933223724, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1265878528356552, + "step": 1994 + }, + { + "epoch": 0.3325, + "grad_norm": 28.125, + "grad_norm_var": 0.42337239583333336, + "learning_rate": 7.513591135859561e-05, + "loss": 6.8199, + "loss/crossentropy": 1.8973293006420135, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.15631063655018806, + "step": 1995 + }, + { + "epoch": 0.33266666666666667, + "grad_norm": 28.125, + "grad_norm_var": 0.42473958333333334, + "learning_rate": 7.511327665716863e-05, + "loss": 6.8403, + "loss/crossentropy": 1.9851139187812805, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.16789129376411438, + "step": 1996 + }, + { + "epoch": 0.3328333333333333, + "grad_norm": 29.375, + "grad_norm_var": 0.4552083333333333, + "learning_rate": 7.509063507079443e-05, + "loss": 6.9476, + "loss/crossentropy": 1.6235378086566925, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1800040602684021, + "step": 1997 + }, + { + "epoch": 0.333, + "grad_norm": 28.625, + "grad_norm_var": 0.4494140625, + "learning_rate": 7.506798660568031e-05, + "loss": 6.9203, + "loss/crossentropy": 2.3260062634944916, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.20887180417776108, + "step": 1998 + }, + { + "epoch": 0.33316666666666667, + "grad_norm": 27.375, + "grad_norm_var": 0.40182291666666664, + "learning_rate": 7.50453312680355e-05, + "loss": 6.9222, + "loss/crossentropy": 1.9456888735294342, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.16610940545797348, + "step": 1999 + }, + { + "epoch": 0.3333333333333333, + "grad_norm": 25.875, + "grad_norm_var": 0.7197916666666667, + "learning_rate": 7.502266906407107e-05, + "loss": 6.87, + "loss/crossentropy": 1.652198612689972, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1459857076406479, + "step": 2000 + }, + { + "epoch": 0.3335, + "grad_norm": 28.125, + "grad_norm_var": 0.6999348958333333, + "learning_rate": 7.500000000000001e-05, + "loss": 6.9889, + "loss/crossentropy": 1.8776606321334839, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16601471230387688, + "step": 2001 + }, + { + "epoch": 0.33366666666666667, + "grad_norm": 28.25, + "grad_norm_var": 0.6989583333333333, + "learning_rate": 7.497732408203715e-05, + "loss": 6.9868, + "loss/crossentropy": 2.074419140815735, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16386640071868896, + "step": 2002 + }, + { + "epoch": 0.3338333333333333, + "grad_norm": 29.625, + "grad_norm_var": 0.7455729166666667, + "learning_rate": 7.495464131639924e-05, + "loss": 6.6917, + "loss/crossentropy": 2.1719153225421906, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1867818608880043, + "step": 2003 + }, + { + "epoch": 0.334, + "grad_norm": 28.125, + "grad_norm_var": 0.7268229166666667, + "learning_rate": 7.493195170930487e-05, + "loss": 6.8433, + "loss/crossentropy": 2.062982439994812, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1559919361025095, + "step": 2004 + }, + { + "epoch": 0.33416666666666667, + "grad_norm": 31.25, + "grad_norm_var": 1.3567057291666667, + "learning_rate": 7.490925526697455e-05, + "loss": 7.113, + "loss/crossentropy": 1.856598824262619, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1890299767255783, + "step": 2005 + }, + { + "epoch": 0.3343333333333333, + "grad_norm": 28.75, + "grad_norm_var": 1.3254557291666667, + "learning_rate": 7.488655199563062e-05, + "loss": 7.0763, + "loss/crossentropy": 1.9131037890911102, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.20712736994028091, + "step": 2006 + }, + { + "epoch": 0.3345, + "grad_norm": 30.125, + "grad_norm_var": 1.5223307291666666, + "learning_rate": 7.48638419014973e-05, + "loss": 6.9296, + "loss/crossentropy": 1.9188037812709808, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1765531562268734, + "step": 2007 + }, + { + "epoch": 0.33466666666666667, + "grad_norm": 29.125, + "grad_norm_var": 1.5400390625, + "learning_rate": 7.484112499080072e-05, + "loss": 7.243, + "loss/crossentropy": 2.334028899669647, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.2102915160357952, + "step": 2008 + }, + { + "epoch": 0.3348333333333333, + "grad_norm": 27.375, + "grad_norm_var": 1.5197916666666667, + "learning_rate": 7.481840126976885e-05, + "loss": 6.9336, + "loss/crossentropy": 2.3797422647476196, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15753690898418427, + "step": 2009 + }, + { + "epoch": 0.335, + "grad_norm": 27.5, + "grad_norm_var": 1.5830729166666666, + "learning_rate": 7.47956707446315e-05, + "loss": 7.1263, + "loss/crossentropy": 1.736940175294876, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.29391179978847504, + "step": 2010 + }, + { + "epoch": 0.33516666666666667, + "grad_norm": 26.75, + "grad_norm_var": 1.7671223958333333, + "learning_rate": 7.477293342162039e-05, + "loss": 6.7758, + "loss/crossentropy": 1.9174039661884308, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.17197978310287, + "step": 2011 + }, + { + "epoch": 0.3353333333333333, + "grad_norm": 27.125, + "grad_norm_var": 1.8660807291666666, + "learning_rate": 7.475018930696907e-05, + "loss": 6.8328, + "loss/crossentropy": 1.6734638661146164, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15389369428157806, + "step": 2012 + }, + { + "epoch": 0.3355, + "grad_norm": 119.5, + "grad_norm_var": 522.009375, + "learning_rate": 7.472743840691299e-05, + "loss": 7.3216, + "loss/crossentropy": 2.203093558549881, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1570625901222229, + "step": 2013 + }, + { + "epoch": 0.33566666666666667, + "grad_norm": 39.25, + "grad_norm_var": 521.4947265625, + "learning_rate": 7.470468072768941e-05, + "loss": 6.8456, + "loss/crossentropy": 1.88325697183609, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.14290205389261246, + "step": 2014 + }, + { + "epoch": 0.3358333333333333, + "grad_norm": 31.125, + "grad_norm_var": 518.7447265625, + "learning_rate": 7.468191627553753e-05, + "loss": 6.9458, + "loss/crossentropy": 2.127677172422409, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.1870853193104267, + "step": 2015 + }, + { + "epoch": 0.336, + "grad_norm": 32.0, + "grad_norm_var": 513.7458333333333, + "learning_rate": 7.465914505669829e-05, + "loss": 6.859, + "loss/crossentropy": 1.8531156778335571, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.16833728924393654, + "step": 2016 + }, + { + "epoch": 0.33616666666666667, + "grad_norm": 33.25, + "grad_norm_var": 510.51868489583336, + "learning_rate": 7.463636707741458e-05, + "loss": 7.1248, + "loss/crossentropy": 1.9512142539024353, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16061406210064888, + "step": 2017 + }, + { + "epoch": 0.3363333333333333, + "grad_norm": 29.125, + "grad_norm_var": 509.7125, + "learning_rate": 7.461358234393112e-05, + "loss": 6.8817, + "loss/crossentropy": 2.2000258564949036, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1861456260085106, + "step": 2018 + }, + { + "epoch": 0.3365, + "grad_norm": 32.5, + "grad_norm_var": 507.9291015625, + "learning_rate": 7.459079086249445e-05, + "loss": 7.232, + "loss/crossentropy": 1.810811996459961, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.2124641202390194, + "step": 2019 + }, + { + "epoch": 0.33666666666666667, + "grad_norm": 27.375, + "grad_norm_var": 508.7322265625, + "learning_rate": 7.456799263935302e-05, + "loss": 7.0205, + "loss/crossentropy": 2.237602114677429, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.14925507083535194, + "step": 2020 + }, + { + "epoch": 0.3368333333333333, + "grad_norm": 30.875, + "grad_norm_var": 508.96640625, + "learning_rate": 7.454518768075704e-05, + "loss": 7.0822, + "loss/crossentropy": 1.7999923080205917, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.20759722217917442, + "step": 2021 + }, + { + "epoch": 0.337, + "grad_norm": 26.75, + "grad_norm_var": 511.07890625, + "learning_rate": 7.452237599295867e-05, + "loss": 6.7412, + "loss/crossentropy": 2.080182209610939, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1764880158007145, + "step": 2022 + }, + { + "epoch": 0.33716666666666667, + "grad_norm": 28.875, + "grad_norm_var": 512.090625, + "learning_rate": 7.449955758221183e-05, + "loss": 7.0483, + "loss/crossentropy": 1.6845323741436005, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18512040004134178, + "step": 2023 + }, + { + "epoch": 0.3373333333333333, + "grad_norm": 27.75, + "grad_norm_var": 513.3832682291667, + "learning_rate": 7.447673245477234e-05, + "loss": 6.838, + "loss/crossentropy": 2.051158532500267, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.16648780554533005, + "step": 2024 + }, + { + "epoch": 0.3375, + "grad_norm": 29.375, + "grad_norm_var": 511.48118489583334, + "learning_rate": 7.445390061689782e-05, + "loss": 7.0176, + "loss/crossentropy": 1.7653161734342575, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15084105357527733, + "step": 2025 + }, + { + "epoch": 0.33766666666666667, + "grad_norm": 30.25, + "grad_norm_var": 508.9947265625, + "learning_rate": 7.443106207484776e-05, + "loss": 6.8493, + "loss/crossentropy": 1.6858928501605988, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1836147978901863, + "step": 2026 + }, + { + "epoch": 0.3378333333333333, + "grad_norm": 26.375, + "grad_norm_var": 509.453125, + "learning_rate": 7.440821683488346e-05, + "loss": 6.8528, + "loss/crossentropy": 2.0759508311748505, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.20494332909584045, + "step": 2027 + }, + { + "epoch": 0.338, + "grad_norm": 27.125, + "grad_norm_var": 509.453125, + "learning_rate": 7.438536490326808e-05, + "loss": 6.8397, + "loss/crossentropy": 1.7737501561641693, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.14508418180048466, + "step": 2028 + }, + { + "epoch": 0.33816666666666667, + "grad_norm": 30.625, + "grad_norm_var": 10.3181640625, + "learning_rate": 7.436250628626662e-05, + "loss": 7.1029, + "loss/crossentropy": 1.7607507407665253, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.23210009187459946, + "step": 2029 + }, + { + "epoch": 0.3383333333333333, + "grad_norm": 26.75, + "grad_norm_var": 4.940559895833333, + "learning_rate": 7.433964099014587e-05, + "loss": 6.8998, + "loss/crossentropy": 2.037865936756134, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18731474876403809, + "step": 2030 + }, + { + "epoch": 0.3385, + "grad_norm": 31.25, + "grad_norm_var": 4.970572916666667, + "learning_rate": 7.431676902117452e-05, + "loss": 7.0755, + "loss/crossentropy": 2.2347550988197327, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.21429144963622093, + "step": 2031 + }, + { + "epoch": 0.33866666666666667, + "grad_norm": 26.125, + "grad_norm_var": 5.0837890625, + "learning_rate": 7.429389038562303e-05, + "loss": 7.1156, + "loss/crossentropy": 2.482976973056793, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.1779996082186699, + "step": 2032 + }, + { + "epoch": 0.3388333333333333, + "grad_norm": 25.5, + "grad_norm_var": 4.470247395833334, + "learning_rate": 7.42710050897637e-05, + "loss": 6.8587, + "loss/crossentropy": 1.7138625383377075, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19997518882155418, + "step": 2033 + }, + { + "epoch": 0.339, + "grad_norm": 162.0, + "grad_norm_var": 1118.3364583333334, + "learning_rate": 7.424811313987068e-05, + "loss": 7.0511, + "loss/crossentropy": 1.370591640472412, + "loss/hidden": 4.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.19408288784325123, + "step": 2034 + }, + { + "epoch": 0.33916666666666667, + "grad_norm": 32.0, + "grad_norm_var": 1118.6416666666667, + "learning_rate": 7.42252145422199e-05, + "loss": 7.052, + "loss/crossentropy": 1.8335129618644714, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1870727315545082, + "step": 2035 + }, + { + "epoch": 0.3393333333333333, + "grad_norm": 29.25, + "grad_norm_var": 1116.5020182291667, + "learning_rate": 7.420230930308917e-05, + "loss": 6.7395, + "loss/crossentropy": 1.8177026510238647, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15426837280392647, + "step": 2036 + }, + { + "epoch": 0.3395, + "grad_norm": 27.5, + "grad_norm_var": 1119.9385416666667, + "learning_rate": 7.417939742875808e-05, + "loss": 7.0298, + "loss/crossentropy": 1.647228717803955, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.2381763495504856, + "step": 2037 + }, + { + "epoch": 0.3396666666666667, + "grad_norm": 26.5, + "grad_norm_var": 1120.2747395833333, + "learning_rate": 7.415647892550804e-05, + "loss": 6.8861, + "loss/crossentropy": 1.7632336914539337, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.2041916884481907, + "step": 2038 + }, + { + "epoch": 0.3398333333333333, + "grad_norm": 27.625, + "grad_norm_var": 1121.6770833333333, + "learning_rate": 7.41335537996223e-05, + "loss": 6.9878, + "loss/crossentropy": 2.1364670991897583, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.17527839541435242, + "step": 2039 + }, + { + "epoch": 0.34, + "grad_norm": 26.5, + "grad_norm_var": 1123.25390625, + "learning_rate": 7.411062205738594e-05, + "loss": 6.7876, + "loss/crossentropy": 2.192312180995941, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.16716694459319115, + "step": 2040 + }, + { + "epoch": 0.3401666666666667, + "grad_norm": 27.625, + "grad_norm_var": 1125.11875, + "learning_rate": 7.408768370508576e-05, + "loss": 6.9161, + "loss/crossentropy": 1.7267830669879913, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16841742396354675, + "step": 2041 + }, + { + "epoch": 0.3403333333333333, + "grad_norm": 25.125, + "grad_norm_var": 1130.9884765625, + "learning_rate": 7.40647387490105e-05, + "loss": 6.8494, + "loss/crossentropy": 2.124807685613632, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.2034451924264431, + "step": 2042 + }, + { + "epoch": 0.3405, + "grad_norm": 29.875, + "grad_norm_var": 1127.2077473958334, + "learning_rate": 7.404178719545063e-05, + "loss": 6.9723, + "loss/crossentropy": 1.8637481331825256, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.17874129116535187, + "step": 2043 + }, + { + "epoch": 0.3406666666666667, + "grad_norm": 27.75, + "grad_norm_var": 1126.4645833333334, + "learning_rate": 7.401882905069843e-05, + "loss": 7.006, + "loss/crossentropy": 2.175578624010086, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.18035291507840157, + "step": 2044 + }, + { + "epoch": 0.3408333333333333, + "grad_norm": 28.0, + "grad_norm_var": 1128.9077473958334, + "learning_rate": 7.399586432104804e-05, + "loss": 7.0774, + "loss/crossentropy": 1.6769179999828339, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.1617315448820591, + "step": 2045 + }, + { + "epoch": 0.341, + "grad_norm": 27.125, + "grad_norm_var": 1128.4434895833333, + "learning_rate": 7.397289301279533e-05, + "loss": 7.0576, + "loss/crossentropy": 1.9629495739936829, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1695958934724331, + "step": 2046 + }, + { + "epoch": 0.3411666666666667, + "grad_norm": 29.125, + "grad_norm_var": 1130.1379557291666, + "learning_rate": 7.394991513223806e-05, + "loss": 6.9166, + "loss/crossentropy": 1.928334265947342, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.1944093368947506, + "step": 2047 + }, + { + "epoch": 0.3413333333333333, + "grad_norm": 27.5, + "grad_norm_var": 1128.4270833333333, + "learning_rate": 7.392693068567571e-05, + "loss": 6.9527, + "loss/crossentropy": 1.6154040545225143, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1958514302968979, + "step": 2048 + }, + { + "epoch": 0.3415, + "grad_norm": 26.875, + "grad_norm_var": 1126.5858723958333, + "learning_rate": 7.390393967940962e-05, + "loss": 6.5745, + "loss/crossentropy": 1.9205915182828903, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.17980434373021126, + "step": 2049 + }, + { + "epoch": 0.3416666666666667, + "grad_norm": 28.75, + "grad_norm_var": 2.5666015625, + "learning_rate": 7.388094211974287e-05, + "loss": 6.9934, + "loss/crossentropy": 1.8497702479362488, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16422061622142792, + "step": 2050 + }, + { + "epoch": 0.3418333333333333, + "grad_norm": 29.25, + "grad_norm_var": 1.5525390625, + "learning_rate": 7.385793801298042e-05, + "loss": 6.9379, + "loss/crossentropy": 1.6855178624391556, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.2053573615849018, + "step": 2051 + }, + { + "epoch": 0.342, + "grad_norm": 30.375, + "grad_norm_var": 1.853125, + "learning_rate": 7.383492736542895e-05, + "loss": 7.0843, + "loss/crossentropy": 2.19215527176857, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.18778520449995995, + "step": 2052 + }, + { + "epoch": 0.3421666666666667, + "grad_norm": 27.625, + "grad_norm_var": 1.8483723958333333, + "learning_rate": 7.381191018339696e-05, + "loss": 6.9187, + "loss/crossentropy": 2.6872902512550354, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.15789642184972763, + "step": 2053 + }, + { + "epoch": 0.3423333333333333, + "grad_norm": 27.875, + "grad_norm_var": 1.71875, + "learning_rate": 7.378888647319474e-05, + "loss": 6.9448, + "loss/crossentropy": 1.7906746715307236, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.16070954129099846, + "step": 2054 + }, + { + "epoch": 0.3425, + "grad_norm": 27.25, + "grad_norm_var": 1.7431640625, + "learning_rate": 7.376585624113437e-05, + "loss": 6.8542, + "loss/crossentropy": 1.557831734418869, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1614438109099865, + "step": 2055 + }, + { + "epoch": 0.3426666666666667, + "grad_norm": 148.0, + "grad_norm_var": 901.4759765625, + "learning_rate": 7.374281949352973e-05, + "loss": 7.0196, + "loss/crossentropy": 2.4130071103572845, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15813453868031502, + "step": 2056 + }, + { + "epoch": 0.3428333333333333, + "grad_norm": 29.125, + "grad_norm_var": 900.0400390625, + "learning_rate": 7.371977623669647e-05, + "loss": 6.9115, + "loss/crossentropy": 2.078933000564575, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.15391727164387703, + "step": 2057 + }, + { + "epoch": 0.343, + "grad_norm": 29.125, + "grad_norm_var": 895.4525390625, + "learning_rate": 7.369672647695202e-05, + "loss": 6.924, + "loss/crossentropy": 2.0717571079730988, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15724975615739822, + "step": 2058 + }, + { + "epoch": 0.3431666666666667, + "grad_norm": 29.5, + "grad_norm_var": 895.76015625, + "learning_rate": 7.36736702206156e-05, + "loss": 6.9801, + "loss/crossentropy": 2.0998593866825104, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.1537986397743225, + "step": 2059 + }, + { + "epoch": 0.3433333333333333, + "grad_norm": 27.875, + "grad_norm_var": 895.6264973958333, + "learning_rate": 7.365060747400824e-05, + "loss": 6.9115, + "loss/crossentropy": 2.1983064115047455, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14448386430740356, + "step": 2060 + }, + { + "epoch": 0.3435, + "grad_norm": 30.625, + "grad_norm_var": 893.3145833333333, + "learning_rate": 7.362753824345272e-05, + "loss": 7.0026, + "loss/crossentropy": 1.7852575182914734, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1614079587161541, + "step": 2061 + }, + { + "epoch": 0.3436666666666667, + "grad_norm": 27.5, + "grad_norm_var": 892.8796223958333, + "learning_rate": 7.360446253527355e-05, + "loss": 7.0128, + "loss/crossentropy": 1.9454274773597717, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.16636711731553078, + "step": 2062 + }, + { + "epoch": 0.3438333333333333, + "grad_norm": 29.0, + "grad_norm_var": 892.9955729166667, + "learning_rate": 7.358138035579711e-05, + "loss": 7.1206, + "loss/crossentropy": 1.6541378498077393, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1527247615158558, + "step": 2063 + }, + { + "epoch": 0.344, + "grad_norm": 26.375, + "grad_norm_var": 894.3520182291667, + "learning_rate": 7.355829171135153e-05, + "loss": 6.8571, + "loss/crossentropy": 2.481254458427429, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.16723664477467537, + "step": 2064 + }, + { + "epoch": 0.3441666666666667, + "grad_norm": 27.875, + "grad_norm_var": 893.2051432291667, + "learning_rate": 7.353519660826665e-05, + "loss": 6.9357, + "loss/crossentropy": 2.0771390795707703, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.22008159756660461, + "step": 2065 + }, + { + "epoch": 0.3443333333333333, + "grad_norm": 27.75, + "grad_norm_var": 894.2353515625, + "learning_rate": 7.351209505287412e-05, + "loss": 6.8736, + "loss/crossentropy": 2.409720927476883, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.16566890478134155, + "step": 2066 + }, + { + "epoch": 0.3445, + "grad_norm": 31.5, + "grad_norm_var": 892.5431640625, + "learning_rate": 7.34889870515074e-05, + "loss": 7.0489, + "loss/crossentropy": 1.8507786095142365, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1418823003768921, + "step": 2067 + }, + { + "epoch": 0.3446666666666667, + "grad_norm": 28.625, + "grad_norm_var": 894.0671223958333, + "learning_rate": 7.346587261050165e-05, + "loss": 7.1447, + "loss/crossentropy": 1.8434045016765594, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.15552262961864471, + "step": 2068 + }, + { + "epoch": 0.3448333333333333, + "grad_norm": 25.75, + "grad_norm_var": 896.3747395833333, + "learning_rate": 7.344275173619385e-05, + "loss": 7.1386, + "loss/crossentropy": 2.289629340171814, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15696092694997787, + "step": 2069 + }, + { + "epoch": 0.345, + "grad_norm": 28.375, + "grad_norm_var": 895.8580729166666, + "learning_rate": 7.34196244349227e-05, + "loss": 7.0953, + "loss/crossentropy": 1.9288634806871414, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16220839321613312, + "step": 2070 + }, + { + "epoch": 0.3451666666666667, + "grad_norm": 26.75, + "grad_norm_var": 896.4497395833333, + "learning_rate": 7.339649071302867e-05, + "loss": 6.6041, + "loss/crossentropy": 1.9166855216026306, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.18526418507099152, + "step": 2071 + }, + { + "epoch": 0.3453333333333333, + "grad_norm": 28.875, + "grad_norm_var": 2.2056640625, + "learning_rate": 7.337335057685404e-05, + "loss": 6.9847, + "loss/crossentropy": 1.8914473950862885, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.18709682673215866, + "step": 2072 + }, + { + "epoch": 0.3455, + "grad_norm": 26.125, + "grad_norm_var": 2.4837890625, + "learning_rate": 7.335020403274278e-05, + "loss": 6.8916, + "loss/crossentropy": 2.083907425403595, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.19886447861790657, + "step": 2073 + }, + { + "epoch": 0.3456666666666667, + "grad_norm": 29.875, + "grad_norm_var": 2.6087890625, + "learning_rate": 7.332705108704064e-05, + "loss": 7.1812, + "loss/crossentropy": 1.9742853939533234, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.2138034999370575, + "step": 2074 + }, + { + "epoch": 0.3458333333333333, + "grad_norm": 3506438144.0, + "grad_norm_var": 7.684442662495935e+17, + "learning_rate": 7.330389174609515e-05, + "loss": 8.3941, + "loss/crossentropy": 3.0586771368980408, + "loss/hidden": 5.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.9652788937091827, + "step": 2075 + }, + { + "epoch": 0.346, + "grad_norm": 31.125, + "grad_norm_var": 7.684442661546275e+17, + "learning_rate": 7.328072601625557e-05, + "loss": 6.9205, + "loss/crossentropy": 2.0313860177993774, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17442785948514938, + "step": 2076 + }, + { + "epoch": 0.3461666666666667, + "grad_norm": 30.75, + "grad_norm_var": 7.684442661509748e+17, + "learning_rate": 7.325755390387292e-05, + "loss": 7.2669, + "loss/crossentropy": 1.8324489146471024, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1594837512820959, + "step": 2077 + }, + { + "epoch": 0.3463333333333333, + "grad_norm": 28.25, + "grad_norm_var": 7.684442661290596e+17, + "learning_rate": 7.323437541529996e-05, + "loss": 6.7122, + "loss/crossentropy": 1.9699969291687012, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1520283855497837, + "step": 2078 + }, + { + "epoch": 0.3465, + "grad_norm": 28.25, + "grad_norm_var": 7.684442661509748e+17, + "learning_rate": 7.32111905568912e-05, + "loss": 6.9238, + "loss/crossentropy": 2.1525202691555023, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.16282695531845093, + "step": 2079 + }, + { + "epoch": 0.3466666666666667, + "grad_norm": 28.0, + "grad_norm_var": 7.684442661034918e+17, + "learning_rate": 7.318799933500291e-05, + "loss": 6.8972, + "loss/crossentropy": 2.014526605606079, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.16891813836991787, + "step": 2080 + }, + { + "epoch": 0.3468333333333333, + "grad_norm": 29.25, + "grad_norm_var": 7.684442660633139e+17, + "learning_rate": 7.316480175599309e-05, + "loss": 6.9426, + "loss/crossentropy": 2.4353124499320984, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.23142844438552856, + "step": 2081 + }, + { + "epoch": 0.347, + "grad_norm": 28.25, + "grad_norm_var": 7.684442660487037e+17, + "learning_rate": 7.314159782622149e-05, + "loss": 6.8955, + "loss/crossentropy": 1.7959257364273071, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17249504663050175, + "step": 2082 + }, + { + "epoch": 0.3471666666666667, + "grad_norm": 29.875, + "grad_norm_var": 7.684442660961868e+17, + "learning_rate": 7.311838755204959e-05, + "loss": 6.7392, + "loss/crossentropy": 1.6704260110855103, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.19029727950692177, + "step": 2083 + }, + { + "epoch": 0.3473333333333333, + "grad_norm": 29.125, + "grad_norm_var": 7.684442660815766e+17, + "learning_rate": 7.309517093984063e-05, + "loss": 6.7853, + "loss/crossentropy": 1.3228363990783691, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1319979690015316, + "step": 2084 + }, + { + "epoch": 0.3475, + "grad_norm": 27.5, + "grad_norm_var": 7.684442660304411e+17, + "learning_rate": 7.307194799595958e-05, + "loss": 6.7315, + "loss/crossentropy": 1.83369979262352, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1692655272781849, + "step": 2085 + }, + { + "epoch": 0.3476666666666667, + "grad_norm": 27.75, + "grad_norm_var": 7.684442660487037e+17, + "learning_rate": 7.304871872677312e-05, + "loss": 7.1185, + "loss/crossentropy": 2.2817700505256653, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.2337706796824932, + "step": 2086 + }, + { + "epoch": 0.3478333333333333, + "grad_norm": 29.25, + "grad_norm_var": 7.68444265975653e+17, + "learning_rate": 7.30254831386497e-05, + "loss": 7.0945, + "loss/crossentropy": 1.268850952386856, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1559615209698677, + "step": 2087 + }, + { + "epoch": 0.348, + "grad_norm": 26.625, + "grad_norm_var": 7.684442660413987e+17, + "learning_rate": 7.30022412379595e-05, + "loss": 6.851, + "loss/crossentropy": 2.2141047418117523, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.20626169443130493, + "step": 2088 + }, + { + "epoch": 0.3481666666666667, + "grad_norm": 26.875, + "grad_norm_var": 7.684442660194834e+17, + "learning_rate": 7.297899303107441e-05, + "loss": 6.8119, + "loss/crossentropy": 2.2771498262882233, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17451148480176926, + "step": 2089 + }, + { + "epoch": 0.34833333333333333, + "grad_norm": 26.75, + "grad_norm_var": 7.684442661107969e+17, + "learning_rate": 7.295573852436803e-05, + "loss": 6.8858, + "loss/crossentropy": 2.1730759739875793, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.16526572033762932, + "step": 2090 + }, + { + "epoch": 0.3485, + "grad_norm": 26.875, + "grad_norm_var": 1.9385416666666666, + "learning_rate": 7.293247772421576e-05, + "loss": 6.9801, + "loss/crossentropy": 2.306734085083008, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.20953936502337456, + "step": 2091 + }, + { + "epoch": 0.3486666666666667, + "grad_norm": 26.5, + "grad_norm_var": 1.5988932291666667, + "learning_rate": 7.290921063699465e-05, + "loss": 6.9061, + "loss/crossentropy": 2.1618535816669464, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.18295671045780182, + "step": 2092 + }, + { + "epoch": 0.34883333333333333, + "grad_norm": 26.625, + "grad_norm_var": 1.2143229166666667, + "learning_rate": 7.28859372690835e-05, + "loss": 6.6054, + "loss/crossentropy": 2.135254666209221, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.15292740985751152, + "step": 2093 + }, + { + "epoch": 0.349, + "grad_norm": 29.125, + "grad_norm_var": 1.3077473958333334, + "learning_rate": 7.286265762686287e-05, + "loss": 7.0276, + "loss/crossentropy": 1.1510987877845764, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.14063545688986778, + "step": 2094 + }, + { + "epoch": 0.3491666666666667, + "grad_norm": 26.25, + "grad_norm_var": 1.4681640625, + "learning_rate": 7.283937171671498e-05, + "loss": 6.9032, + "loss/crossentropy": 1.723374381661415, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.18965791165828705, + "step": 2095 + }, + { + "epoch": 0.34933333333333333, + "grad_norm": 26.75, + "grad_norm_var": 1.5306640625, + "learning_rate": 7.28160795450238e-05, + "loss": 6.8453, + "loss/crossentropy": 2.1508104503154755, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.17040402814745903, + "step": 2096 + }, + { + "epoch": 0.3495, + "grad_norm": 34.0, + "grad_norm_var": 3.9155598958333333, + "learning_rate": 7.279278111817501e-05, + "loss": 7.0454, + "loss/crossentropy": 1.3751897513866425, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.20728563517332077, + "step": 2097 + }, + { + "epoch": 0.3496666666666667, + "grad_norm": 28.25, + "grad_norm_var": 3.9155598958333333, + "learning_rate": 7.2769476442556e-05, + "loss": 6.9676, + "loss/crossentropy": 1.8930696845054626, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.181466456502676, + "step": 2098 + }, + { + "epoch": 0.34983333333333333, + "grad_norm": 30.375, + "grad_norm_var": 4.0556640625, + "learning_rate": 7.274616552455589e-05, + "loss": 6.699, + "loss/crossentropy": 1.4440280199050903, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.14569008350372314, + "step": 2099 + }, + { + "epoch": 0.35, + "grad_norm": 28.125, + "grad_norm_var": 3.973372395833333, + "learning_rate": 7.272284837056549e-05, + "loss": 7.0641, + "loss/crossentropy": 1.8094044625759125, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.2017786093056202, + "step": 2100 + }, + { + "epoch": 0.3501666666666667, + "grad_norm": 26.0, + "grad_norm_var": 4.209309895833333, + "learning_rate": 7.269952498697734e-05, + "loss": 6.7701, + "loss/crossentropy": 1.9914885759353638, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1467224583029747, + "step": 2101 + }, + { + "epoch": 0.35033333333333333, + "grad_norm": 27.875, + "grad_norm_var": 4.208072916666667, + "learning_rate": 7.267619538018568e-05, + "loss": 7.142, + "loss/crossentropy": 1.5153481215238571, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.23981055989861488, + "step": 2102 + }, + { + "epoch": 0.3505, + "grad_norm": 29.125, + "grad_norm_var": 4.186393229166667, + "learning_rate": 7.265285955658645e-05, + "loss": 7.0634, + "loss/crossentropy": 2.1457932591438293, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.16200632974505424, + "step": 2103 + }, + { + "epoch": 0.3506666666666667, + "grad_norm": 27.25, + "grad_norm_var": 4.105989583333334, + "learning_rate": 7.262951752257728e-05, + "loss": 7.1155, + "loss/crossentropy": 1.9755332171916962, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17108121886849403, + "step": 2104 + }, + { + "epoch": 0.35083333333333333, + "grad_norm": 27.625, + "grad_norm_var": 4.036458333333333, + "learning_rate": 7.260616928455754e-05, + "loss": 6.9938, + "loss/crossentropy": 1.9692150056362152, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1408616155385971, + "step": 2105 + }, + { + "epoch": 0.351, + "grad_norm": 25.75, + "grad_norm_var": 4.261458333333334, + "learning_rate": 7.258281484892829e-05, + "loss": 6.9085, + "loss/crossentropy": 1.5156310498714447, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.16660475358366966, + "step": 2106 + }, + { + "epoch": 0.3511666666666667, + "grad_norm": 29.625, + "grad_norm_var": 4.355989583333334, + "learning_rate": 7.255945422209227e-05, + "loss": 6.6632, + "loss/crossentropy": 1.7122782766819, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17008794099092484, + "step": 2107 + }, + { + "epoch": 0.35133333333333333, + "grad_norm": 26.5, + "grad_norm_var": 4.355989583333334, + "learning_rate": 7.253608741045391e-05, + "loss": 6.9513, + "loss/crossentropy": 2.133049428462982, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1667143628001213, + "step": 2108 + }, + { + "epoch": 0.3515, + "grad_norm": 29.25, + "grad_norm_var": 4.278059895833334, + "learning_rate": 7.251271442041938e-05, + "loss": 6.7998, + "loss/crossentropy": 2.0782561898231506, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16985313221812248, + "step": 2109 + }, + { + "epoch": 0.3516666666666667, + "grad_norm": 28.375, + "grad_norm_var": 4.224934895833333, + "learning_rate": 7.248933525839651e-05, + "loss": 6.9796, + "loss/crossentropy": 2.189815878868103, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.16273607686161995, + "step": 2110 + }, + { + "epoch": 0.35183333333333333, + "grad_norm": 41.0, + "grad_norm_var": 13.996809895833334, + "learning_rate": 7.246594993079482e-05, + "loss": 6.78, + "loss/crossentropy": 1.377113938331604, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.17339711636304855, + "step": 2111 + }, + { + "epoch": 0.352, + "grad_norm": 28.625, + "grad_norm_var": 13.624739583333334, + "learning_rate": 7.244255844402557e-05, + "loss": 7.0191, + "loss/crossentropy": 1.931462436914444, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.16768937557935715, + "step": 2112 + }, + { + "epoch": 0.3521666666666667, + "grad_norm": 27.0, + "grad_norm_var": 12.239322916666667, + "learning_rate": 7.241916080450163e-05, + "loss": 6.6984, + "loss/crossentropy": 1.9611997604370117, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.15512468665838242, + "step": 2113 + }, + { + "epoch": 0.35233333333333333, + "grad_norm": 26.625, + "grad_norm_var": 12.5228515625, + "learning_rate": 7.239575701863758e-05, + "loss": 6.8855, + "loss/crossentropy": 2.099128842353821, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.17819644138216972, + "step": 2114 + }, + { + "epoch": 0.3525, + "grad_norm": 27.5, + "grad_norm_var": 12.395572916666667, + "learning_rate": 7.237234709284975e-05, + "loss": 6.8898, + "loss/crossentropy": 1.9166722893714905, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16839829459786415, + "step": 2115 + }, + { + "epoch": 0.3526666666666667, + "grad_norm": 28.0, + "grad_norm_var": 12.403059895833334, + "learning_rate": 7.234893103355607e-05, + "loss": 6.7991, + "loss/crossentropy": 1.4633425772190094, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.1502360962331295, + "step": 2116 + }, + { + "epoch": 0.35283333333333333, + "grad_norm": 28.75, + "grad_norm_var": 11.956184895833333, + "learning_rate": 7.232550884717617e-05, + "loss": 6.772, + "loss/crossentropy": 1.6728789955377579, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.18001002445816994, + "step": 2117 + }, + { + "epoch": 0.353, + "grad_norm": 26.0, + "grad_norm_var": 12.377083333333333, + "learning_rate": 7.230208054013144e-05, + "loss": 7.0564, + "loss/crossentropy": 2.1610766649246216, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.15301287360489368, + "step": 2118 + }, + { + "epoch": 0.3531666666666667, + "grad_norm": 26.625, + "grad_norm_var": 12.580208333333333, + "learning_rate": 7.227864611884483e-05, + "loss": 6.7776, + "loss/crossentropy": 1.7377029657363892, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14685216546058655, + "step": 2119 + }, + { + "epoch": 0.35333333333333333, + "grad_norm": 26.0, + "grad_norm_var": 12.870572916666667, + "learning_rate": 7.225520558974101e-05, + "loss": 6.7039, + "loss/crossentropy": 1.8912920653820038, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1518220268189907, + "step": 2120 + }, + { + "epoch": 0.3535, + "grad_norm": 27.5, + "grad_norm_var": 12.883268229166667, + "learning_rate": 7.223175895924638e-05, + "loss": 7.0934, + "loss/crossentropy": 2.1108682453632355, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1708589643239975, + "step": 2121 + }, + { + "epoch": 0.3536666666666667, + "grad_norm": 25.625, + "grad_norm_var": 12.927083333333334, + "learning_rate": 7.220830623378893e-05, + "loss": 6.927, + "loss/crossentropy": 1.6935126185417175, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.15178451128304005, + "step": 2122 + }, + { + "epoch": 0.35383333333333333, + "grad_norm": 27.375, + "grad_norm_var": 12.849739583333333, + "learning_rate": 7.218484741979838e-05, + "loss": 6.9062, + "loss/crossentropy": 2.1134356260299683, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16790245473384857, + "step": 2123 + }, + { + "epoch": 0.354, + "grad_norm": 27.375, + "grad_norm_var": 12.7025390625, + "learning_rate": 7.216138252370609e-05, + "loss": 6.6151, + "loss/crossentropy": 1.8243166208267212, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.14971329644322395, + "step": 2124 + }, + { + "epoch": 0.3541666666666667, + "grad_norm": 26.75, + "grad_norm_var": 12.752018229166667, + "learning_rate": 7.21379115519451e-05, + "loss": 6.7524, + "loss/crossentropy": 1.6254100501537323, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.14963565580546856, + "step": 2125 + }, + { + "epoch": 0.35433333333333333, + "grad_norm": 27.25, + "grad_norm_var": 12.785416666666666, + "learning_rate": 7.211443451095007e-05, + "loss": 6.8375, + "loss/crossentropy": 1.8110772669315338, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1895378865301609, + "step": 2126 + }, + { + "epoch": 0.3545, + "grad_norm": 29.25, + "grad_norm_var": 1.04765625, + "learning_rate": 7.209095140715741e-05, + "loss": 7.0224, + "loss/crossentropy": 1.7432479411363602, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.152857456356287, + "step": 2127 + }, + { + "epoch": 0.3546666666666667, + "grad_norm": 27.875, + "grad_norm_var": 0.946875, + "learning_rate": 7.206746224700513e-05, + "loss": 6.6076, + "loss/crossentropy": 1.927753135561943, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17260411009192467, + "step": 2128 + }, + { + "epoch": 0.35483333333333333, + "grad_norm": 27.875, + "grad_norm_var": 0.9692057291666667, + "learning_rate": 7.204396703693294e-05, + "loss": 6.8359, + "loss/crossentropy": 1.9064338505268097, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.19737526029348373, + "step": 2129 + }, + { + "epoch": 0.355, + "grad_norm": 27.0, + "grad_norm_var": 0.9455729166666667, + "learning_rate": 7.202046578338214e-05, + "loss": 7.0263, + "loss/crossentropy": 2.2367103695869446, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15381603688001633, + "step": 2130 + }, + { + "epoch": 0.3551666666666667, + "grad_norm": 30.0, + "grad_norm_var": 1.40390625, + "learning_rate": 7.199695849279576e-05, + "loss": 7.1123, + "loss/crossentropy": 2.0229061245918274, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16338128596544266, + "step": 2131 + }, + { + "epoch": 0.35533333333333333, + "grad_norm": 27.875, + "grad_norm_var": 1.3957682291666667, + "learning_rate": 7.197344517161846e-05, + "loss": 6.5115, + "loss/crossentropy": 1.9504657983779907, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1688636913895607, + "step": 2132 + }, + { + "epoch": 0.3555, + "grad_norm": 27.125, + "grad_norm_var": 1.278125, + "learning_rate": 7.194992582629654e-05, + "loss": 6.7453, + "loss/crossentropy": 2.280461400747299, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.19741583988070488, + "step": 2133 + }, + { + "epoch": 0.3556666666666667, + "grad_norm": 3305111552.0, + "grad_norm_var": 6.827351368639622e+17, + "learning_rate": 7.192640046327795e-05, + "loss": 8.24, + "loss/crossentropy": 2.0298988223075867, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.17005464807152748, + "step": 2134 + }, + { + "epoch": 0.35583333333333333, + "grad_norm": 28.25, + "grad_norm_var": 6.827351368192055e+17, + "learning_rate": 7.190286908901234e-05, + "loss": 6.7337, + "loss/crossentropy": 2.185683459043503, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.187096506357193, + "step": 2135 + }, + { + "epoch": 0.356, + "grad_norm": 31.25, + "grad_norm_var": 6.827351366746068e+17, + "learning_rate": 7.187933170995094e-05, + "loss": 6.6762, + "loss/crossentropy": 1.1753403544425964, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1452774778008461, + "step": 2136 + }, + { + "epoch": 0.3561666666666667, + "grad_norm": 31.375, + "grad_norm_var": 6.827351365678793e+17, + "learning_rate": 7.185578833254664e-05, + "loss": 7.0951, + "loss/crossentropy": 1.5608634501695633, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.18968326225876808, + "step": 2137 + }, + { + "epoch": 0.35633333333333334, + "grad_norm": 28.125, + "grad_norm_var": 6.827351364990228e+17, + "learning_rate": 7.183223896325404e-05, + "loss": 6.9681, + "loss/crossentropy": 1.8362726420164108, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.1628372259438038, + "step": 2138 + }, + { + "epoch": 0.3565, + "grad_norm": 28.375, + "grad_norm_var": 6.827351364714802e+17, + "learning_rate": 7.18086836085293e-05, + "loss": 6.9924, + "loss/crossentropy": 2.047808736562729, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15438509359955788, + "step": 2139 + }, + { + "epoch": 0.3566666666666667, + "grad_norm": 28.25, + "grad_norm_var": 6.827351364473805e+17, + "learning_rate": 7.178512227483027e-05, + "loss": 6.8506, + "loss/crossentropy": 1.9090005457401276, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1529963407665491, + "step": 2140 + }, + { + "epoch": 0.35683333333333334, + "grad_norm": 29.375, + "grad_norm_var": 6.827351363750811e+17, + "learning_rate": 7.176155496861638e-05, + "loss": 6.9669, + "loss/crossentropy": 2.3874452710151672, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.15255384892225266, + "step": 2141 + }, + { + "epoch": 0.357, + "grad_norm": 27.0, + "grad_norm_var": 6.827351363819668e+17, + "learning_rate": 7.17379816963488e-05, + "loss": 7.0457, + "loss/crossentropy": 1.974662408232689, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15286224894225597, + "step": 2142 + }, + { + "epoch": 0.3571666666666667, + "grad_norm": 26.125, + "grad_norm_var": 6.827351364680374e+17, + "learning_rate": 7.171440246449024e-05, + "loss": 6.8317, + "loss/crossentropy": 2.1793119311332703, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.16993381083011627, + "step": 2143 + }, + { + "epoch": 0.35733333333333334, + "grad_norm": 27.5, + "grad_norm_var": 6.827351364783658e+17, + "learning_rate": 7.169081727950509e-05, + "loss": 6.9101, + "loss/crossentropy": 2.333061456680298, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.15137211233377457, + "step": 2144 + }, + { + "epoch": 0.3575, + "grad_norm": 30.625, + "grad_norm_var": 6.827351364026237e+17, + "learning_rate": 7.166722614785937e-05, + "loss": 6.9849, + "loss/crossentropy": 1.8088498711585999, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.21461842209100723, + "step": 2145 + }, + { + "epoch": 0.3576666666666667, + "grad_norm": 27.5, + "grad_norm_var": 6.827351363888525e+17, + "learning_rate": 7.164362907602072e-05, + "loss": 6.8854, + "loss/crossentropy": 1.8011918663978577, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15166255086660385, + "step": 2146 + }, + { + "epoch": 0.35783333333333334, + "grad_norm": 25.625, + "grad_norm_var": 6.827351365093513e+17, + "learning_rate": 7.162002607045838e-05, + "loss": 6.6725, + "loss/crossentropy": 1.733324021100998, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.13422836363315582, + "step": 2147 + }, + { + "epoch": 0.358, + "grad_norm": 26.5, + "grad_norm_var": 6.827351365472224e+17, + "learning_rate": 7.159641713764329e-05, + "loss": 6.9256, + "loss/crossentropy": 2.16316357254982, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.17035064846277237, + "step": 2148 + }, + { + "epoch": 0.3581666666666667, + "grad_norm": 27.25, + "grad_norm_var": 6.827351365437796e+17, + "learning_rate": 7.157280228404795e-05, + "loss": 6.7613, + "loss/crossentropy": 1.9027793109416962, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.16456494107842445, + "step": 2149 + }, + { + "epoch": 0.35833333333333334, + "grad_norm": 26.0, + "grad_norm_var": 3.2270182291666667, + "learning_rate": 7.154918151614653e-05, + "loss": 6.7958, + "loss/crossentropy": 1.840320497751236, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.17154999822378159, + "step": 2150 + }, + { + "epoch": 0.3585, + "grad_norm": 28.25, + "grad_norm_var": 3.2270182291666667, + "learning_rate": 7.152555484041476e-05, + "loss": 6.8351, + "loss/crossentropy": 1.8824243545532227, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.15790261700749397, + "step": 2151 + }, + { + "epoch": 0.3586666666666667, + "grad_norm": 26.875, + "grad_norm_var": 2.568489583333333, + "learning_rate": 7.150192226333007e-05, + "loss": 7.0538, + "loss/crossentropy": 1.8477645516395569, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.2645992152392864, + "step": 2152 + }, + { + "epoch": 0.35883333333333334, + "grad_norm": 24.625, + "grad_norm_var": 2.1958333333333333, + "learning_rate": 7.147828379137142e-05, + "loss": 6.7262, + "loss/crossentropy": 2.1639250814914703, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.16325705125927925, + "step": 2153 + }, + { + "epoch": 0.359, + "grad_norm": 29.25, + "grad_norm_var": 2.387434895833333, + "learning_rate": 7.145463943101946e-05, + "loss": 6.9338, + "loss/crossentropy": 1.472980871796608, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.14350797608494759, + "step": 2154 + }, + { + "epoch": 0.3591666666666667, + "grad_norm": 27.125, + "grad_norm_var": 2.3301432291666666, + "learning_rate": 7.143098918875643e-05, + "loss": 6.7833, + "loss/crossentropy": 1.771635726094246, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.14176020957529545, + "step": 2155 + }, + { + "epoch": 0.35933333333333334, + "grad_norm": 25.25, + "grad_norm_var": 2.5395182291666667, + "learning_rate": 7.140733307106615e-05, + "loss": 6.7593, + "loss/crossentropy": 1.931948035955429, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16996700875461102, + "step": 2156 + }, + { + "epoch": 0.3595, + "grad_norm": 26.375, + "grad_norm_var": 2.223893229166667, + "learning_rate": 7.138367108443411e-05, + "loss": 6.9759, + "loss/crossentropy": 1.9253366887569427, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.148873720318079, + "step": 2157 + }, + { + "epoch": 0.3596666666666667, + "grad_norm": 25.5, + "grad_norm_var": 2.3629557291666665, + "learning_rate": 7.136000323534735e-05, + "loss": 6.8505, + "loss/crossentropy": 2.111165851354599, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17186739295721054, + "step": 2158 + }, + { + "epoch": 0.35983333333333334, + "grad_norm": 26.75, + "grad_norm_var": 2.3229166666666665, + "learning_rate": 7.133632953029457e-05, + "loss": 6.7045, + "loss/crossentropy": 1.399612233042717, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14343522116541862, + "step": 2159 + }, + { + "epoch": 0.36, + "grad_norm": 26.375, + "grad_norm_var": 2.317643229166667, + "learning_rate": 7.131264997576604e-05, + "loss": 6.7592, + "loss/crossentropy": 1.548488199710846, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1592468023300171, + "step": 2160 + }, + { + "epoch": 0.3601666666666667, + "grad_norm": 28.75, + "grad_norm_var": 1.5979166666666667, + "learning_rate": 7.128896457825364e-05, + "loss": 7.0859, + "loss/crossentropy": 1.8292968571186066, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18065541610121727, + "step": 2161 + }, + { + "epoch": 0.36033333333333334, + "grad_norm": 27.25, + "grad_norm_var": 1.5768229166666667, + "learning_rate": 7.126527334425086e-05, + "loss": 6.8046, + "loss/crossentropy": 1.8395174741744995, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1539921723306179, + "step": 2162 + }, + { + "epoch": 0.3605, + "grad_norm": 27.5, + "grad_norm_var": 1.5192057291666667, + "learning_rate": 7.124157628025278e-05, + "loss": 6.9517, + "loss/crossentropy": 1.9624346792697906, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.18627258017659187, + "step": 2163 + }, + { + "epoch": 0.3606666666666667, + "grad_norm": 27.75, + "grad_norm_var": 1.5582682291666667, + "learning_rate": 7.12178733927561e-05, + "loss": 6.6933, + "loss/crossentropy": 1.5740594267845154, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.17279233783483505, + "step": 2164 + }, + { + "epoch": 0.36083333333333334, + "grad_norm": 27.0, + "grad_norm_var": 1.5514973958333333, + "learning_rate": 7.119416468825908e-05, + "loss": 6.7232, + "loss/crossentropy": 1.5799974501132965, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.14766664430499077, + "step": 2165 + }, + { + "epoch": 0.361, + "grad_norm": 25.625, + "grad_norm_var": 1.6059895833333333, + "learning_rate": 7.117045017326162e-05, + "loss": 6.9477, + "loss/crossentropy": 2.245646446943283, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.14913608506321907, + "step": 2166 + }, + { + "epoch": 0.3611666666666667, + "grad_norm": 27.0, + "grad_norm_var": 1.4770833333333333, + "learning_rate": 7.114672985426516e-05, + "loss": 6.7769, + "loss/crossentropy": 2.0437145233154297, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.21094627678394318, + "step": 2167 + }, + { + "epoch": 0.36133333333333334, + "grad_norm": 27.875, + "grad_norm_var": 1.5479166666666666, + "learning_rate": 7.112300373777279e-05, + "loss": 6.8374, + "loss/crossentropy": 2.275378406047821, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1560332141816616, + "step": 2168 + }, + { + "epoch": 0.3615, + "grad_norm": 26.875, + "grad_norm_var": 1.1893229166666666, + "learning_rate": 7.109927183028914e-05, + "loss": 6.9368, + "loss/crossentropy": 1.9542750716209412, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.22746773064136505, + "step": 2169 + }, + { + "epoch": 0.3616666666666667, + "grad_norm": 27.5, + "grad_norm_var": 0.859375, + "learning_rate": 7.107553413832047e-05, + "loss": 6.8649, + "loss/crossentropy": 1.6708799004554749, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16046040505170822, + "step": 2170 + }, + { + "epoch": 0.36183333333333334, + "grad_norm": 27.375, + "grad_norm_var": 0.8705729166666667, + "learning_rate": 7.105179066837456e-05, + "loss": 6.8139, + "loss/crossentropy": 1.8930187225341797, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.1716163344681263, + "step": 2171 + }, + { + "epoch": 0.362, + "grad_norm": 25.375, + "grad_norm_var": 0.8436848958333333, + "learning_rate": 7.102804142696085e-05, + "loss": 6.9705, + "loss/crossentropy": 2.424550026655197, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.18084371462464333, + "step": 2172 + }, + { + "epoch": 0.3621666666666667, + "grad_norm": 27.0, + "grad_norm_var": 0.821875, + "learning_rate": 7.100428642059033e-05, + "loss": 6.8261, + "loss/crossentropy": 1.8091538846492767, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.16068736463785172, + "step": 2173 + }, + { + "epoch": 0.36233333333333334, + "grad_norm": 25.125, + "grad_norm_var": 0.9041015625, + "learning_rate": 7.098052565577553e-05, + "loss": 7.125, + "loss/crossentropy": 2.2843374609947205, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.23138073086738586, + "step": 2174 + }, + { + "epoch": 0.3625, + "grad_norm": 25.625, + "grad_norm_var": 1.0125, + "learning_rate": 7.095675913903067e-05, + "loss": 6.6674, + "loss/crossentropy": 1.7552671432495117, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1530367247760296, + "step": 2175 + }, + { + "epoch": 0.3626666666666667, + "grad_norm": 26.875, + "grad_norm_var": 0.9947916666666666, + "learning_rate": 7.09329868768714e-05, + "loss": 6.8766, + "loss/crossentropy": 1.7494475543498993, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.13906826078891754, + "step": 2176 + }, + { + "epoch": 0.36283333333333334, + "grad_norm": 25.375, + "grad_norm_var": 0.8770182291666667, + "learning_rate": 7.090920887581506e-05, + "loss": 6.9371, + "loss/crossentropy": 1.746672809123993, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.14578545093536377, + "step": 2177 + }, + { + "epoch": 0.363, + "grad_norm": 26.25, + "grad_norm_var": 0.8655598958333334, + "learning_rate": 7.088542514238055e-05, + "loss": 6.7703, + "loss/crossentropy": 2.104097157716751, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.15233005210757256, + "step": 2178 + }, + { + "epoch": 0.3631666666666667, + "grad_norm": 3087007744.0, + "grad_norm_var": 5.956010404650943e+17, + "learning_rate": 7.086163568308828e-05, + "loss": 7.9201, + "loss/crossentropy": 1.6875163316726685, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17308557778596878, + "step": 2179 + }, + { + "epoch": 0.36333333333333334, + "grad_norm": 31.5, + "grad_norm_var": 5.956010403686253e+17, + "learning_rate": 7.083784050446023e-05, + "loss": 6.7547, + "loss/crossentropy": 2.1061096787452698, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.14752384275197983, + "step": 2180 + }, + { + "epoch": 0.3635, + "grad_norm": 30.5, + "grad_norm_var": 5.956010402785875e+17, + "learning_rate": 7.081403961302006e-05, + "loss": 6.8212, + "loss/crossentropy": 1.7153346836566925, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.16925668716430664, + "step": 2181 + }, + { + "epoch": 0.3636666666666667, + "grad_norm": 27.75, + "grad_norm_var": 5.956010402239218e+17, + "learning_rate": 7.079023301529287e-05, + "loss": 6.7234, + "loss/crossentropy": 1.813739389181137, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14227473735809326, + "step": 2182 + }, + { + "epoch": 0.36383333333333334, + "grad_norm": 26.625, + "grad_norm_var": 5.956010402335688e+17, + "learning_rate": 7.07664207178054e-05, + "loss": 6.6326, + "loss/crossentropy": 1.8523532152175903, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17492744326591492, + "step": 2183 + }, + { + "epoch": 0.364, + "grad_norm": 27.875, + "grad_norm_var": 5.956010402335688e+17, + "learning_rate": 7.07426027270859e-05, + "loss": 6.9052, + "loss/crossentropy": 1.7674079239368439, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.16607265174388885, + "step": 2184 + }, + { + "epoch": 0.3641666666666667, + "grad_norm": 28.25, + "grad_norm_var": 5.956010401981967e+17, + "learning_rate": 7.071877904966423e-05, + "loss": 6.7369, + "loss/crossentropy": 1.9774086475372314, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.17330318316817284, + "step": 2185 + }, + { + "epoch": 0.36433333333333334, + "grad_norm": 29.125, + "grad_norm_var": 5.956010401563935e+17, + "learning_rate": 7.069494969207174e-05, + "loss": 6.7129, + "loss/crossentropy": 2.1783173382282257, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1576577052474022, + "step": 2186 + }, + { + "epoch": 0.3645, + "grad_norm": 28.75, + "grad_norm_var": 5.956010401210216e+17, + "learning_rate": 7.067111466084145e-05, + "loss": 6.8176, + "loss/crossentropy": 1.6667147874832153, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.16053269058465958, + "step": 2187 + }, + { + "epoch": 0.36466666666666664, + "grad_norm": 28.0, + "grad_norm_var": 5.956010400534932e+17, + "learning_rate": 7.064727396250783e-05, + "loss": 6.7222, + "loss/crossentropy": 1.8946049511432648, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.17405548319220543, + "step": 2188 + }, + { + "epoch": 0.36483333333333334, + "grad_norm": 27.0, + "grad_norm_var": 5.956010400534932e+17, + "learning_rate": 7.062342760360696e-05, + "loss": 6.948, + "loss/crossentropy": 1.7083064019680023, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1726469323039055, + "step": 2189 + }, + { + "epoch": 0.365, + "grad_norm": 27.875, + "grad_norm_var": 5.956010399827493e+17, + "learning_rate": 7.059957559067645e-05, + "loss": 6.9026, + "loss/crossentropy": 2.2992331981658936, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15454206988215446, + "step": 2190 + }, + { + "epoch": 0.36516666666666664, + "grad_norm": 25.5, + "grad_norm_var": 5.956010399859649e+17, + "learning_rate": 7.057571793025544e-05, + "loss": 6.8546, + "loss/crossentropy": 1.808715045452118, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.21387510374188423, + "step": 2191 + }, + { + "epoch": 0.36533333333333334, + "grad_norm": 27.125, + "grad_norm_var": 5.956010399795337e+17, + "learning_rate": 7.055185462888468e-05, + "loss": 6.9601, + "loss/crossentropy": 1.9795124232769012, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16446733847260475, + "step": 2192 + }, + { + "epoch": 0.3655, + "grad_norm": 25.875, + "grad_norm_var": 5.956010399666712e+17, + "learning_rate": 7.05279856931064e-05, + "loss": 6.8054, + "loss/crossentropy": 1.731568232178688, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.14975851029157639, + "step": 2193 + }, + { + "epoch": 0.36566666666666664, + "grad_norm": 28.0, + "grad_norm_var": 5.956010399216524e+17, + "learning_rate": 7.050411112946442e-05, + "loss": 6.7874, + "loss/crossentropy": 1.9303491115570068, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1882532685995102, + "step": 2194 + }, + { + "epoch": 0.36583333333333334, + "grad_norm": 26.75, + "grad_norm_var": 2.421875, + "learning_rate": 7.048023094450411e-05, + "loss": 6.8316, + "loss/crossentropy": 2.361297369003296, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.183254424482584, + "step": 2195 + }, + { + "epoch": 0.366, + "grad_norm": 29.875, + "grad_norm_var": 1.8082682291666667, + "learning_rate": 7.045634514477229e-05, + "loss": 6.726, + "loss/crossentropy": 1.6914380192756653, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.16262558102607727, + "step": 2196 + }, + { + "epoch": 0.36616666666666664, + "grad_norm": 26.625, + "grad_norm_var": 1.3541666666666667, + "learning_rate": 7.043245373681747e-05, + "loss": 7.0655, + "loss/crossentropy": 1.9149104952812195, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.22851886972784996, + "step": 2197 + }, + { + "epoch": 0.36633333333333334, + "grad_norm": 27.625, + "grad_norm_var": 1.3520182291666667, + "learning_rate": 7.040855672718954e-05, + "loss": 6.7552, + "loss/crossentropy": 2.1938917338848114, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1705101542174816, + "step": 2198 + }, + { + "epoch": 0.3665, + "grad_norm": 25.5, + "grad_norm_var": 1.5705729166666667, + "learning_rate": 7.038465412244005e-05, + "loss": 6.8234, + "loss/crossentropy": 2.2032702565193176, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1786930337548256, + "step": 2199 + }, + { + "epoch": 0.36666666666666664, + "grad_norm": 29.625, + "grad_norm_var": 1.853125, + "learning_rate": 7.036074592912203e-05, + "loss": 7.0016, + "loss/crossentropy": 2.2089244425296783, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.14909471943974495, + "step": 2200 + }, + { + "epoch": 0.36683333333333334, + "grad_norm": 26.5, + "grad_norm_var": 1.89140625, + "learning_rate": 7.033683215379002e-05, + "loss": 6.8358, + "loss/crossentropy": 2.13372203707695, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18713842704892159, + "step": 2201 + }, + { + "epoch": 0.367, + "grad_norm": 26.75, + "grad_norm_var": 1.7244140625, + "learning_rate": 7.031291280300012e-05, + "loss": 6.7696, + "loss/crossentropy": 2.1091648936271667, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.16706819459795952, + "step": 2202 + }, + { + "epoch": 0.36716666666666664, + "grad_norm": 25.375, + "grad_norm_var": 1.8, + "learning_rate": 7.028898788331e-05, + "loss": 6.8554, + "loss/crossentropy": 1.7930920124053955, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.1384333148598671, + "step": 2203 + }, + { + "epoch": 0.36733333333333335, + "grad_norm": 27.375, + "grad_norm_var": 1.7514973958333333, + "learning_rate": 7.026505740127878e-05, + "loss": 6.6315, + "loss/crossentropy": 1.6656554043293, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16555341333150864, + "step": 2204 + }, + { + "epoch": 0.3675, + "grad_norm": 27.875, + "grad_norm_var": 1.7893229166666667, + "learning_rate": 7.024112136346712e-05, + "loss": 6.9585, + "loss/crossentropy": 1.4542147666215897, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1491967737674713, + "step": 2205 + }, + { + "epoch": 0.36766666666666664, + "grad_norm": 26.625, + "grad_norm_var": 1.7645833333333334, + "learning_rate": 7.021717977643726e-05, + "loss": 6.7623, + "loss/crossentropy": 1.6971104443073273, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.16779803857207298, + "step": 2206 + }, + { + "epoch": 0.36783333333333335, + "grad_norm": 26.5, + "grad_norm_var": 1.61875, + "learning_rate": 7.019323264675289e-05, + "loss": 7.047, + "loss/crossentropy": 1.7692120969295502, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15727237612009048, + "step": 2207 + }, + { + "epoch": 0.368, + "grad_norm": 26.5, + "grad_norm_var": 1.6431640625, + "learning_rate": 7.016927998097926e-05, + "loss": 6.7208, + "loss/crossentropy": 1.3012005686759949, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.19625740498304367, + "step": 2208 + }, + { + "epoch": 0.36816666666666664, + "grad_norm": 27.375, + "grad_norm_var": 1.5416015625, + "learning_rate": 7.014532178568314e-05, + "loss": 6.8814, + "loss/crossentropy": 1.8120279163122177, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.13042749278247356, + "step": 2209 + }, + { + "epoch": 0.36833333333333335, + "grad_norm": 27.375, + "grad_norm_var": 1.49765625, + "learning_rate": 7.01213580674328e-05, + "loss": 6.8884, + "loss/crossentropy": 2.0248791873455048, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15900493785738945, + "step": 2210 + }, + { + "epoch": 0.3685, + "grad_norm": 27.375, + "grad_norm_var": 1.4895182291666667, + "learning_rate": 7.009738883279802e-05, + "loss": 6.744, + "loss/crossentropy": 1.6907528042793274, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.22369376942515373, + "step": 2211 + }, + { + "epoch": 0.36866666666666664, + "grad_norm": 26.25, + "grad_norm_var": 1.0080729166666667, + "learning_rate": 7.007341408835011e-05, + "loss": 6.7167, + "loss/crossentropy": 1.51124507188797, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.17682525888085365, + "step": 2212 + }, + { + "epoch": 0.36883333333333335, + "grad_norm": 26.625, + "grad_norm_var": 1.0080729166666667, + "learning_rate": 7.004943384066187e-05, + "loss": 6.9994, + "loss/crossentropy": 2.0144832134246826, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1623639576137066, + "step": 2213 + }, + { + "epoch": 0.369, + "grad_norm": 26.375, + "grad_norm_var": 0.99375, + "learning_rate": 7.002544809630764e-05, + "loss": 6.9988, + "loss/crossentropy": 2.154139965772629, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.19391676783561707, + "step": 2214 + }, + { + "epoch": 0.36916666666666664, + "grad_norm": 25.5, + "grad_norm_var": 0.99375, + "learning_rate": 7.000145686186324e-05, + "loss": 6.6705, + "loss/crossentropy": 2.099094420671463, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17783697322010994, + "step": 2215 + }, + { + "epoch": 0.36933333333333335, + "grad_norm": 28.125, + "grad_norm_var": 0.584375, + "learning_rate": 6.997746014390601e-05, + "loss": 6.7469, + "loss/crossentropy": 1.9298697710037231, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.16135717928409576, + "step": 2216 + }, + { + "epoch": 0.3695, + "grad_norm": 26.625, + "grad_norm_var": 0.5806640625, + "learning_rate": 6.995345794901477e-05, + "loss": 6.8812, + "loss/crossentropy": 1.7063210159540176, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15000034868717194, + "step": 2217 + }, + { + "epoch": 0.36966666666666664, + "grad_norm": 28.5, + "grad_norm_var": 0.7629557291666667, + "learning_rate": 6.992945028376987e-05, + "loss": 7.0092, + "loss/crossentropy": 1.936408281326294, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.13125582225620747, + "step": 2218 + }, + { + "epoch": 0.36983333333333335, + "grad_norm": 27.125, + "grad_norm_var": 0.5988932291666667, + "learning_rate": 6.990543715475314e-05, + "loss": 7.0118, + "loss/crossentropy": 2.125882536172867, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1664300560951233, + "step": 2219 + }, + { + "epoch": 0.37, + "grad_norm": 28.25, + "grad_norm_var": 0.6895833333333333, + "learning_rate": 6.988141856854791e-05, + "loss": 6.9537, + "loss/crossentropy": 2.2420757114887238, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.21418894827365875, + "step": 2220 + }, + { + "epoch": 0.37016666666666664, + "grad_norm": 28.5, + "grad_norm_var": 0.7817057291666667, + "learning_rate": 6.985739453173903e-05, + "loss": 6.8733, + "loss/crossentropy": 1.8313888013362885, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.15668585896492004, + "step": 2221 + }, + { + "epoch": 0.37033333333333335, + "grad_norm": 28.125, + "grad_norm_var": 0.8270182291666667, + "learning_rate": 6.983336505091283e-05, + "loss": 7.2272, + "loss/crossentropy": 1.4906808286905289, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1428436692804098, + "step": 2222 + }, + { + "epoch": 0.3705, + "grad_norm": 25.5, + "grad_norm_var": 0.9822265625, + "learning_rate": 6.980933013265709e-05, + "loss": 6.666, + "loss/crossentropy": 2.0252858698368073, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.15677310526371002, + "step": 2223 + }, + { + "epoch": 0.37066666666666664, + "grad_norm": 27.625, + "grad_norm_var": 0.96640625, + "learning_rate": 6.978528978356117e-05, + "loss": 6.8259, + "loss/crossentropy": 1.9939363896846771, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15151764079928398, + "step": 2224 + }, + { + "epoch": 0.37083333333333335, + "grad_norm": 27.75, + "grad_norm_var": 0.9837890625, + "learning_rate": 6.976124401021583e-05, + "loss": 7.0024, + "loss/crossentropy": 1.5756312608718872, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.15981289744377136, + "step": 2225 + }, + { + "epoch": 0.371, + "grad_norm": 26.875, + "grad_norm_var": 0.9895182291666667, + "learning_rate": 6.973719281921335e-05, + "loss": 6.8767, + "loss/crossentropy": 2.133562356233597, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.19579358026385307, + "step": 2226 + }, + { + "epoch": 0.37116666666666664, + "grad_norm": 25.875, + "grad_norm_var": 1.0942057291666667, + "learning_rate": 6.971313621714756e-05, + "loss": 7.088, + "loss/crossentropy": 2.23905611038208, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.2081548236310482, + "step": 2227 + }, + { + "epoch": 0.37133333333333335, + "grad_norm": 28.25, + "grad_norm_var": 1.1171223958333334, + "learning_rate": 6.968907421061365e-05, + "loss": 6.7733, + "loss/crossentropy": 1.5003992319107056, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.15554477833211422, + "step": 2228 + }, + { + "epoch": 0.3715, + "grad_norm": 26.75, + "grad_norm_var": 1.1080729166666667, + "learning_rate": 6.966500680620837e-05, + "loss": 6.8897, + "loss/crossentropy": 2.1678766012191772, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.17019888013601303, + "step": 2229 + }, + { + "epoch": 0.37166666666666665, + "grad_norm": 25.5, + "grad_norm_var": 1.2561848958333333, + "learning_rate": 6.964093401052996e-05, + "loss": 6.9349, + "loss/crossentropy": 2.1183734834194183, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.2070896029472351, + "step": 2230 + }, + { + "epoch": 0.37183333333333335, + "grad_norm": 27.375, + "grad_norm_var": 1.0559895833333333, + "learning_rate": 6.961685583017808e-05, + "loss": 6.958, + "loss/crossentropy": 2.146971255540848, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.1638147160410881, + "step": 2231 + }, + { + "epoch": 0.372, + "grad_norm": 28.5, + "grad_norm_var": 1.1061848958333333, + "learning_rate": 6.959277227175393e-05, + "loss": 6.779, + "loss/crossentropy": 2.0141346156597137, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.17408637329936028, + "step": 2232 + }, + { + "epoch": 0.37216666666666665, + "grad_norm": 27.625, + "grad_norm_var": 1.0759765625, + "learning_rate": 6.956868334186013e-05, + "loss": 7.0291, + "loss/crossentropy": 2.229278475046158, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.20928657799959183, + "step": 2233 + }, + { + "epoch": 0.37233333333333335, + "grad_norm": 27.375, + "grad_norm_var": 0.9875, + "learning_rate": 6.954458904710082e-05, + "loss": 7.1566, + "loss/crossentropy": 1.9968252778053284, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.17584045603871346, + "step": 2234 + }, + { + "epoch": 0.3725, + "grad_norm": 25.625, + "grad_norm_var": 1.165625, + "learning_rate": 6.952048939408156e-05, + "loss": 6.9061, + "loss/crossentropy": 2.568326234817505, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.1665033921599388, + "step": 2235 + }, + { + "epoch": 0.37266666666666665, + "grad_norm": 29.125, + "grad_norm_var": 1.3337890625, + "learning_rate": 6.949638438940942e-05, + "loss": 7.0249, + "loss/crossentropy": 2.174240082502365, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1900649517774582, + "step": 2236 + }, + { + "epoch": 0.37283333333333335, + "grad_norm": 28.5, + "grad_norm_var": 1.3337890625, + "learning_rate": 6.947227403969293e-05, + "loss": 7.0235, + "loss/crossentropy": 1.941145896911621, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1667163334786892, + "step": 2237 + }, + { + "epoch": 0.373, + "grad_norm": 28.875, + "grad_norm_var": 1.4541015625, + "learning_rate": 6.944815835154209e-05, + "loss": 6.7876, + "loss/crossentropy": 2.0273091197013855, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1661962941288948, + "step": 2238 + }, + { + "epoch": 0.37316666666666665, + "grad_norm": 25.375, + "grad_norm_var": 1.4854166666666666, + "learning_rate": 6.942403733156832e-05, + "loss": 6.8654, + "loss/crossentropy": 2.046880155801773, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.17959768325090408, + "step": 2239 + }, + { + "epoch": 0.37333333333333335, + "grad_norm": 29.625, + "grad_norm_var": 1.81875, + "learning_rate": 6.939991098638454e-05, + "loss": 6.9134, + "loss/crossentropy": 2.3636774718761444, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.1760665588080883, + "step": 2240 + }, + { + "epoch": 0.3735, + "grad_norm": 30.75, + "grad_norm_var": 2.50625, + "learning_rate": 6.937577932260515e-05, + "loss": 6.8603, + "loss/crossentropy": 1.7954436540603638, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.17079021781682968, + "step": 2241 + }, + { + "epoch": 0.37366666666666665, + "grad_norm": 27.0, + "grad_norm_var": 2.4947265625, + "learning_rate": 6.935164234684597e-05, + "loss": 6.6998, + "loss/crossentropy": 1.7265107333660126, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.15913252905011177, + "step": 2242 + }, + { + "epoch": 0.37383333333333335, + "grad_norm": 27.125, + "grad_norm_var": 2.2994140625, + "learning_rate": 6.932750006572428e-05, + "loss": 6.6781, + "loss/crossentropy": 1.7943460643291473, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.12364750914275646, + "step": 2243 + }, + { + "epoch": 0.374, + "grad_norm": 27.875, + "grad_norm_var": 2.28125, + "learning_rate": 6.930335248585884e-05, + "loss": 6.8203, + "loss/crossentropy": 1.8163184821605682, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1621522307395935, + "step": 2244 + }, + { + "epoch": 0.37416666666666665, + "grad_norm": 26.625, + "grad_norm_var": 2.2978515625, + "learning_rate": 6.927919961386984e-05, + "loss": 6.7629, + "loss/crossentropy": 1.9957888424396515, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15743857994675636, + "step": 2245 + }, + { + "epoch": 0.37433333333333335, + "grad_norm": 26.375, + "grad_norm_var": 2.09140625, + "learning_rate": 6.925504145637891e-05, + "loss": 6.8756, + "loss/crossentropy": 1.8579270839691162, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1700017098337412, + "step": 2246 + }, + { + "epoch": 0.3745, + "grad_norm": 26.25, + "grad_norm_var": 2.2244140625, + "learning_rate": 6.923087802000916e-05, + "loss": 6.6789, + "loss/crossentropy": 1.8655824810266495, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.17484594509005547, + "step": 2247 + }, + { + "epoch": 0.37466666666666665, + "grad_norm": 30.0, + "grad_norm_var": 2.5322265625, + "learning_rate": 6.920670931138513e-05, + "loss": 6.8094, + "loss/crossentropy": 1.7782506793737411, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.16454244777560234, + "step": 2248 + }, + { + "epoch": 0.37483333333333335, + "grad_norm": 27.0, + "grad_norm_var": 2.5677083333333335, + "learning_rate": 6.918253533713282e-05, + "loss": 6.9531, + "loss/crossentropy": 1.945976197719574, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.1945863515138626, + "step": 2249 + }, + { + "epoch": 0.375, + "grad_norm": 27.75, + "grad_norm_var": 2.559309895833333, + "learning_rate": 6.915835610387965e-05, + "loss": 6.7647, + "loss/crossentropy": 1.6767225563526154, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.199173491448164, + "step": 2250 + }, + { + "epoch": 0.37516666666666665, + "grad_norm": 27.625, + "grad_norm_var": 2.2447265625, + "learning_rate": 6.91341716182545e-05, + "loss": 6.8858, + "loss/crossentropy": 1.7859952002763748, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.19820134341716766, + "step": 2251 + }, + { + "epoch": 0.37533333333333335, + "grad_norm": 25.875, + "grad_norm_var": 2.3598307291666667, + "learning_rate": 6.910998188688767e-05, + "loss": 6.8812, + "loss/crossentropy": 2.3603407740592957, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.21050552278757095, + "step": 2252 + }, + { + "epoch": 0.3755, + "grad_norm": 28.0, + "grad_norm_var": 2.3197265625, + "learning_rate": 6.908578691641092e-05, + "loss": 6.66, + "loss/crossentropy": 1.9168266654014587, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15800782293081284, + "step": 2253 + }, + { + "epoch": 0.37566666666666665, + "grad_norm": 25.875, + "grad_norm_var": 2.3853515625, + "learning_rate": 6.906158671345746e-05, + "loss": 6.8538, + "loss/crossentropy": 1.7066492140293121, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15964079648256302, + "step": 2254 + }, + { + "epoch": 0.37583333333333335, + "grad_norm": 26.125, + "grad_norm_var": 2.2134765625, + "learning_rate": 6.903738128466188e-05, + "loss": 6.6448, + "loss/crossentropy": 1.4797793626785278, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.15253519266843796, + "step": 2255 + }, + { + "epoch": 0.376, + "grad_norm": 28.125, + "grad_norm_var": 1.9275390625, + "learning_rate": 6.901317063666025e-05, + "loss": 6.8517, + "loss/crossentropy": 2.23222416639328, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.18034324049949646, + "step": 2256 + }, + { + "epoch": 0.37616666666666665, + "grad_norm": 27.0, + "grad_norm_var": 1.1306640625, + "learning_rate": 6.898895477609007e-05, + "loss": 6.8964, + "loss/crossentropy": 2.013240933418274, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.1525321900844574, + "step": 2257 + }, + { + "epoch": 0.37633333333333335, + "grad_norm": 25.5, + "grad_norm_var": 1.3041015625, + "learning_rate": 6.896473370959022e-05, + "loss": 6.6301, + "loss/crossentropy": 1.8388009518384933, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15554090216755867, + "step": 2258 + }, + { + "epoch": 0.3765, + "grad_norm": 27.375, + "grad_norm_var": 1.3098307291666667, + "learning_rate": 6.894050744380108e-05, + "loss": 6.7888, + "loss/crossentropy": 1.70401069521904, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.16792748868465424, + "step": 2259 + }, + { + "epoch": 0.37666666666666665, + "grad_norm": 26.5, + "grad_norm_var": 1.2833333333333334, + "learning_rate": 6.891627598536439e-05, + "loss": 6.9244, + "loss/crossentropy": 2.0060718059539795, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.19640961289405823, + "step": 2260 + }, + { + "epoch": 0.37683333333333335, + "grad_norm": 27.625, + "grad_norm_var": 1.2958333333333334, + "learning_rate": 6.889203934092336e-05, + "loss": 6.8742, + "loss/crossentropy": 2.263218343257904, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.19592930376529694, + "step": 2261 + }, + { + "epoch": 0.377, + "grad_norm": 26.125, + "grad_norm_var": 1.32265625, + "learning_rate": 6.88677975171226e-05, + "loss": 6.7553, + "loss/crossentropy": 1.9391169995069504, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.14209526032209396, + "step": 2262 + }, + { + "epoch": 0.37716666666666665, + "grad_norm": 27.0, + "grad_norm_var": 1.278125, + "learning_rate": 6.884355052060814e-05, + "loss": 6.9928, + "loss/crossentropy": 1.4489037990570068, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.19088955968618393, + "step": 2263 + }, + { + "epoch": 0.37733333333333335, + "grad_norm": 28.375, + "grad_norm_var": 0.8134765625, + "learning_rate": 6.881929835802743e-05, + "loss": 6.8892, + "loss/crossentropy": 1.5819953978061676, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.15630024671554565, + "step": 2264 + }, + { + "epoch": 0.3775, + "grad_norm": 27.625, + "grad_norm_var": 0.8385416666666666, + "learning_rate": 6.879504103602935e-05, + "loss": 6.7426, + "loss/crossentropy": 1.6168385744094849, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.16237767785787582, + "step": 2265 + }, + { + "epoch": 0.37766666666666665, + "grad_norm": 27.0, + "grad_norm_var": 0.8018229166666667, + "learning_rate": 6.877077856126416e-05, + "loss": 6.9019, + "loss/crossentropy": 1.706855684518814, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.12931573763489723, + "step": 2266 + }, + { + "epoch": 0.37783333333333335, + "grad_norm": 26.125, + "grad_norm_var": 0.8143229166666667, + "learning_rate": 6.874651094038358e-05, + "loss": 6.7971, + "loss/crossentropy": 1.762153446674347, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.15662885457277298, + "step": 2267 + }, + { + "epoch": 0.378, + "grad_norm": 27.5, + "grad_norm_var": 0.7593098958333333, + "learning_rate": 6.872223818004068e-05, + "loss": 6.8168, + "loss/crossentropy": 1.7143470346927643, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1908894143998623, + "step": 2268 + }, + { + "epoch": 0.37816666666666665, + "grad_norm": 25.625, + "grad_norm_var": 0.7927083333333333, + "learning_rate": 6.869796028689001e-05, + "loss": 7.0035, + "loss/crossentropy": 1.9185972809791565, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.153825543820858, + "step": 2269 + }, + { + "epoch": 0.37833333333333335, + "grad_norm": 27.125, + "grad_norm_var": 0.72890625, + "learning_rate": 6.86736772675875e-05, + "loss": 6.9119, + "loss/crossentropy": 1.7362204641103745, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.23792405985295773, + "step": 2270 + }, + { + "epoch": 0.3785, + "grad_norm": 26.375, + "grad_norm_var": 0.70625, + "learning_rate": 6.864938912879046e-05, + "loss": 6.9375, + "loss/crossentropy": 2.08743616938591, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.14887743070721626, + "step": 2271 + }, + { + "epoch": 0.37866666666666665, + "grad_norm": 26.625, + "grad_norm_var": 0.609375, + "learning_rate": 6.86250958771576e-05, + "loss": 6.915, + "loss/crossentropy": 1.4402508735656738, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1480480618774891, + "step": 2272 + }, + { + "epoch": 0.37883333333333336, + "grad_norm": 28.0, + "grad_norm_var": 0.6927083333333334, + "learning_rate": 6.860079751934908e-05, + "loss": 6.7218, + "loss/crossentropy": 1.8298881947994232, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1471920944750309, + "step": 2273 + }, + { + "epoch": 0.379, + "grad_norm": 25.75, + "grad_norm_var": 0.6497395833333334, + "learning_rate": 6.857649406202641e-05, + "loss": 6.7735, + "loss/crossentropy": 2.3407853841781616, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.18478397279977798, + "step": 2274 + }, + { + "epoch": 0.37916666666666665, + "grad_norm": 28.75, + "grad_norm_var": 0.8509765625, + "learning_rate": 6.855218551185255e-05, + "loss": 6.6747, + "loss/crossentropy": 1.555120438337326, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1376932803541422, + "step": 2275 + }, + { + "epoch": 0.37933333333333336, + "grad_norm": 26.75, + "grad_norm_var": 0.8379557291666667, + "learning_rate": 6.852787187549182e-05, + "loss": 6.7147, + "loss/crossentropy": 1.717007800936699, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.14123423397541046, + "step": 2276 + }, + { + "epoch": 0.3795, + "grad_norm": 26.5, + "grad_norm_var": 0.8268229166666666, + "learning_rate": 6.850355315960992e-05, + "loss": 6.8199, + "loss/crossentropy": 1.6651256382465363, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14234088733792305, + "step": 2277 + }, + { + "epoch": 0.37966666666666665, + "grad_norm": 25.125, + "grad_norm_var": 0.9997395833333333, + "learning_rate": 6.847922937087399e-05, + "loss": 6.806, + "loss/crossentropy": 2.194999873638153, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16787976771593094, + "step": 2278 + }, + { + "epoch": 0.37983333333333336, + "grad_norm": 26.625, + "grad_norm_var": 1.0030598958333334, + "learning_rate": 6.845490051595252e-05, + "loss": 6.815, + "loss/crossentropy": 1.8913062810897827, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1751425452530384, + "step": 2279 + }, + { + "epoch": 0.38, + "grad_norm": 25.25, + "grad_norm_var": 0.98515625, + "learning_rate": 6.843056660151537e-05, + "loss": 6.8008, + "loss/crossentropy": 2.447334945201874, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.1609177105128765, + "step": 2280 + }, + { + "epoch": 0.38016666666666665, + "grad_norm": 26.375, + "grad_norm_var": 0.9239583333333333, + "learning_rate": 6.840622763423391e-05, + "loss": 6.8353, + "loss/crossentropy": 2.541880965232849, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17003898695111275, + "step": 2281 + }, + { + "epoch": 0.38033333333333336, + "grad_norm": 25.375, + "grad_norm_var": 1.0009765625, + "learning_rate": 6.838188362078073e-05, + "loss": 6.8443, + "loss/crossentropy": 1.878358080983162, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15032780915498734, + "step": 2282 + }, + { + "epoch": 0.3805, + "grad_norm": 28.25, + "grad_norm_var": 1.1791666666666667, + "learning_rate": 6.83575345678299e-05, + "loss": 6.8995, + "loss/crossentropy": 2.2386592626571655, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1593213751912117, + "step": 2283 + }, + { + "epoch": 0.38066666666666665, + "grad_norm": 28.0, + "grad_norm_var": 1.253125, + "learning_rate": 6.833318048205684e-05, + "loss": 6.7418, + "loss/crossentropy": 1.8872438669204712, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.16873694024980068, + "step": 2284 + }, + { + "epoch": 0.38083333333333336, + "grad_norm": 28.75, + "grad_norm_var": 1.4337890625, + "learning_rate": 6.830882137013839e-05, + "loss": 6.6584, + "loss/crossentropy": 1.704821765422821, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.15220381878316402, + "step": 2285 + }, + { + "epoch": 0.381, + "grad_norm": 25.125, + "grad_norm_var": 1.6108723958333333, + "learning_rate": 6.828445723875272e-05, + "loss": 6.8427, + "loss/crossentropy": 1.566479355096817, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.179679274559021, + "step": 2286 + }, + { + "epoch": 0.38116666666666665, + "grad_norm": 24.5, + "grad_norm_var": 1.9184895833333333, + "learning_rate": 6.82600880945794e-05, + "loss": 6.67, + "loss/crossentropy": 1.987110197544098, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1384955197572708, + "step": 2287 + }, + { + "epoch": 0.38133333333333336, + "grad_norm": 26.125, + "grad_norm_var": 1.9330729166666667, + "learning_rate": 6.823571394429936e-05, + "loss": 6.9118, + "loss/crossentropy": 2.2400909662246704, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1783447451889515, + "step": 2288 + }, + { + "epoch": 0.3815, + "grad_norm": 26.25, + "grad_norm_var": 1.7927083333333333, + "learning_rate": 6.821133479459492e-05, + "loss": 6.8262, + "loss/crossentropy": 1.6772242486476898, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.2010328210890293, + "step": 2289 + }, + { + "epoch": 0.38166666666666665, + "grad_norm": 26.875, + "grad_norm_var": 1.7639973958333333, + "learning_rate": 6.818695065214975e-05, + "loss": 6.9011, + "loss/crossentropy": 1.3982686251401901, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.20180439949035645, + "step": 2290 + }, + { + "epoch": 0.38183333333333336, + "grad_norm": 26.125, + "grad_norm_var": 1.4208333333333334, + "learning_rate": 6.816256152364892e-05, + "loss": 6.761, + "loss/crossentropy": 2.046647995710373, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.14350645244121552, + "step": 2291 + }, + { + "epoch": 0.382, + "grad_norm": 25.875, + "grad_norm_var": 1.4249348958333334, + "learning_rate": 6.813816741577885e-05, + "loss": 6.8927, + "loss/crossentropy": 1.4760452210903168, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.1707964763045311, + "step": 2292 + }, + { + "epoch": 0.38216666666666665, + "grad_norm": 26.875, + "grad_norm_var": 1.4427083333333333, + "learning_rate": 6.811376833522729e-05, + "loss": 6.8601, + "loss/crossentropy": 2.155281215906143, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.17378359660506248, + "step": 2293 + }, + { + "epoch": 0.38233333333333336, + "grad_norm": 28.25, + "grad_norm_var": 1.5452473958333333, + "learning_rate": 6.808936428868343e-05, + "loss": 7.0026, + "loss/crossentropy": 1.743675410747528, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.15216132253408432, + "step": 2294 + }, + { + "epoch": 0.3825, + "grad_norm": 26.125, + "grad_norm_var": 1.5551432291666667, + "learning_rate": 6.806495528283771e-05, + "loss": 6.9618, + "loss/crossentropy": 2.0535599291324615, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19112099707126617, + "step": 2295 + }, + { + "epoch": 0.38266666666666665, + "grad_norm": 25.375, + "grad_norm_var": 1.53515625, + "learning_rate": 6.80405413243821e-05, + "loss": 6.7171, + "loss/crossentropy": 2.0463542342185974, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.17179614305496216, + "step": 2296 + }, + { + "epoch": 0.38283333333333336, + "grad_norm": 26.25, + "grad_norm_var": 1.5384765625, + "learning_rate": 6.801612242000974e-05, + "loss": 7.0847, + "loss/crossentropy": 1.8712271302938461, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.20067323744297028, + "step": 2297 + }, + { + "epoch": 0.383, + "grad_norm": 28.5, + "grad_norm_var": 1.6768229166666666, + "learning_rate": 6.799169857641524e-05, + "loss": 6.8107, + "loss/crossentropy": 2.281769096851349, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.1445895154029131, + "step": 2298 + }, + { + "epoch": 0.38316666666666666, + "grad_norm": 26.25, + "grad_norm_var": 1.5143229166666667, + "learning_rate": 6.796726980029454e-05, + "loss": 6.9012, + "loss/crossentropy": 1.9444910287857056, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.16290213912725449, + "step": 2299 + }, + { + "epoch": 0.38333333333333336, + "grad_norm": 28.875, + "grad_norm_var": 1.7280598958333333, + "learning_rate": 6.794283609834492e-05, + "loss": 6.6994, + "loss/crossentropy": 1.6533276438713074, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16285309940576553, + "step": 2300 + }, + { + "epoch": 0.3835, + "grad_norm": 26.25, + "grad_norm_var": 1.4129557291666666, + "learning_rate": 6.7918397477265e-05, + "loss": 6.7987, + "loss/crossentropy": 1.386292189359665, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.19758832827210426, + "step": 2301 + }, + { + "epoch": 0.38366666666666666, + "grad_norm": 26.625, + "grad_norm_var": 1.2832682291666666, + "learning_rate": 6.789395394375482e-05, + "loss": 6.8682, + "loss/crossentropy": 2.1064485013484955, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1605275422334671, + "step": 2302 + }, + { + "epoch": 0.38383333333333336, + "grad_norm": 26.75, + "grad_norm_var": 0.9785807291666667, + "learning_rate": 6.786950550451567e-05, + "loss": 6.9319, + "loss/crossentropy": 2.0120938420295715, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1665123663842678, + "step": 2303 + }, + { + "epoch": 0.384, + "grad_norm": 29.875, + "grad_norm_var": 1.5645182291666666, + "learning_rate": 6.784505216625023e-05, + "loss": 6.9365, + "loss/crossentropy": 1.7199957966804504, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.16280913725495338, + "step": 2304 + }, + { + "epoch": 0.38416666666666666, + "grad_norm": 26.0, + "grad_norm_var": 1.5916015625, + "learning_rate": 6.782059393566253e-05, + "loss": 6.8459, + "loss/crossentropy": 2.5083395540714264, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15042457357048988, + "step": 2305 + }, + { + "epoch": 0.38433333333333336, + "grad_norm": 25.75, + "grad_norm_var": 1.67890625, + "learning_rate": 6.779613081945795e-05, + "loss": 7.134, + "loss/crossentropy": 2.2085765600204468, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.2167658619582653, + "step": 2306 + }, + { + "epoch": 0.3845, + "grad_norm": 25.25, + "grad_norm_var": 1.8124348958333334, + "learning_rate": 6.777166282434315e-05, + "loss": 6.9077, + "loss/crossentropy": 1.928907573223114, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1991769913583994, + "step": 2307 + }, + { + "epoch": 0.38466666666666666, + "grad_norm": 25.25, + "grad_norm_var": 1.9143229166666667, + "learning_rate": 6.774718995702621e-05, + "loss": 6.7921, + "loss/crossentropy": 2.123244047164917, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.20490412786602974, + "step": 2308 + }, + { + "epoch": 0.38483333333333336, + "grad_norm": 29.875, + "grad_norm_var": 2.5205729166666666, + "learning_rate": 6.772271222421649e-05, + "loss": 6.8214, + "loss/crossentropy": 1.5877065658569336, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.15110471844673157, + "step": 2309 + }, + { + "epoch": 0.385, + "grad_norm": 27.625, + "grad_norm_var": 2.4369140625, + "learning_rate": 6.769822963262468e-05, + "loss": 6.8411, + "loss/crossentropy": 1.825337678194046, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1718905009329319, + "step": 2310 + }, + { + "epoch": 0.38516666666666666, + "grad_norm": 28.0, + "grad_norm_var": 2.459375, + "learning_rate": 6.767374218896286e-05, + "loss": 7.1378, + "loss/crossentropy": 2.0545195043087006, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.15488092973828316, + "step": 2311 + }, + { + "epoch": 0.38533333333333336, + "grad_norm": 26.625, + "grad_norm_var": 2.280989583333333, + "learning_rate": 6.764924989994438e-05, + "loss": 7.0252, + "loss/crossentropy": 1.4369324147701263, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.15527509152889252, + "step": 2312 + }, + { + "epoch": 0.3855, + "grad_norm": 27.875, + "grad_norm_var": 2.2598307291666666, + "learning_rate": 6.762475277228392e-05, + "loss": 6.9861, + "loss/crossentropy": 1.5409781336784363, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15133031271398067, + "step": 2313 + }, + { + "epoch": 0.38566666666666666, + "grad_norm": 27.0, + "grad_norm_var": 2.1426432291666666, + "learning_rate": 6.760025081269756e-05, + "loss": 6.916, + "loss/crossentropy": 1.794759839773178, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.18971027433872223, + "step": 2314 + }, + { + "epoch": 0.3858333333333333, + "grad_norm": 28.875, + "grad_norm_var": 2.269791666666667, + "learning_rate": 6.75757440279026e-05, + "loss": 6.8837, + "loss/crossentropy": 2.0624620616436005, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.2345019243657589, + "step": 2315 + }, + { + "epoch": 0.386, + "grad_norm": 27.625, + "grad_norm_var": 2.101822916666667, + "learning_rate": 6.755123242461774e-05, + "loss": 7.0518, + "loss/crossentropy": 2.074870526790619, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.2406204603612423, + "step": 2316 + }, + { + "epoch": 0.38616666666666666, + "grad_norm": 27.875, + "grad_norm_var": 2.0603515625, + "learning_rate": 6.752671600956295e-05, + "loss": 6.6856, + "loss/crossentropy": 1.745943397283554, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.18022912740707397, + "step": 2317 + }, + { + "epoch": 0.3863333333333333, + "grad_norm": 27.625, + "grad_norm_var": 2.0322265625, + "learning_rate": 6.750219478945958e-05, + "loss": 6.7195, + "loss/crossentropy": 1.8544356226921082, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.17065473645925522, + "step": 2318 + }, + { + "epoch": 0.3865, + "grad_norm": 25.625, + "grad_norm_var": 2.20390625, + "learning_rate": 6.747766877103024e-05, + "loss": 6.6265, + "loss/crossentropy": 1.898142009973526, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15185008570551872, + "step": 2319 + }, + { + "epoch": 0.38666666666666666, + "grad_norm": 26.75, + "grad_norm_var": 1.7400390625, + "learning_rate": 6.745313796099889e-05, + "loss": 6.7371, + "loss/crossentropy": 1.853213131427765, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.17413167282938957, + "step": 2320 + }, + { + "epoch": 0.3868333333333333, + "grad_norm": 25.375, + "grad_norm_var": 1.85625, + "learning_rate": 6.742860236609077e-05, + "loss": 6.6697, + "loss/crossentropy": 2.1464334428310394, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.16041269525885582, + "step": 2321 + }, + { + "epoch": 0.387, + "grad_norm": 26.0, + "grad_norm_var": 1.81640625, + "learning_rate": 6.740406199303246e-05, + "loss": 6.8386, + "loss/crossentropy": 2.3023249804973602, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1622992865741253, + "step": 2322 + }, + { + "epoch": 0.38716666666666666, + "grad_norm": 26.5, + "grad_norm_var": 1.609375, + "learning_rate": 6.737951684855185e-05, + "loss": 6.8416, + "loss/crossentropy": 1.8793247938156128, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.21306372433900833, + "step": 2323 + }, + { + "epoch": 0.3873333333333333, + "grad_norm": 25.25, + "grad_norm_var": 1.609375, + "learning_rate": 6.735496693937814e-05, + "loss": 6.7164, + "loss/crossentropy": 2.0201627165079117, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.15009639039635658, + "step": 2324 + }, + { + "epoch": 0.3875, + "grad_norm": 27.125, + "grad_norm_var": 1.08515625, + "learning_rate": 6.733041227224181e-05, + "loss": 6.8443, + "loss/crossentropy": 1.6631371974945068, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.14934007078409195, + "step": 2325 + }, + { + "epoch": 0.38766666666666666, + "grad_norm": 27.75, + "grad_norm_var": 1.0968098958333334, + "learning_rate": 6.730585285387465e-05, + "loss": 6.677, + "loss/crossentropy": 1.9572483897209167, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.1283713672310114, + "step": 2326 + }, + { + "epoch": 0.3878333333333333, + "grad_norm": 28.25, + "grad_norm_var": 1.1343098958333333, + "learning_rate": 6.728128869100979e-05, + "loss": 6.6992, + "loss/crossentropy": 1.8707310259342194, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.14712461084127426, + "step": 2327 + }, + { + "epoch": 0.388, + "grad_norm": 25.75, + "grad_norm_var": 1.2268229166666667, + "learning_rate": 6.725671979038163e-05, + "loss": 6.8619, + "loss/crossentropy": 1.9184933304786682, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.15685540437698364, + "step": 2328 + }, + { + "epoch": 0.38816666666666666, + "grad_norm": 26.125, + "grad_norm_var": 1.203125, + "learning_rate": 6.723214615872585e-05, + "loss": 6.5082, + "loss/crossentropy": 1.8221013844013214, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16979198530316353, + "step": 2329 + }, + { + "epoch": 0.3883333333333333, + "grad_norm": 26.875, + "grad_norm_var": 1.2014973958333333, + "learning_rate": 6.72075678027795e-05, + "loss": 6.9624, + "loss/crossentropy": 2.518416106700897, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.16251210123300552, + "step": 2330 + }, + { + "epoch": 0.3885, + "grad_norm": 27.875, + "grad_norm_var": 0.9921223958333333, + "learning_rate": 6.718298472928082e-05, + "loss": 6.9887, + "loss/crossentropy": 2.052230030298233, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.18858178704977036, + "step": 2331 + }, + { + "epoch": 0.38866666666666666, + "grad_norm": 26.0, + "grad_norm_var": 0.97265625, + "learning_rate": 6.715839694496942e-05, + "loss": 6.9682, + "loss/crossentropy": 2.0533902645111084, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1618235856294632, + "step": 2332 + }, + { + "epoch": 0.3888333333333333, + "grad_norm": 25.875, + "grad_norm_var": 0.9018229166666667, + "learning_rate": 6.713380445658618e-05, + "loss": 6.7296, + "loss/crossentropy": 1.7902663350105286, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.16798154078423977, + "step": 2333 + }, + { + "epoch": 0.389, + "grad_norm": 26.125, + "grad_norm_var": 0.8268229166666666, + "learning_rate": 6.710920727087329e-05, + "loss": 6.8172, + "loss/crossentropy": 1.8883168399333954, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1813836209475994, + "step": 2334 + }, + { + "epoch": 0.38916666666666666, + "grad_norm": 25.0, + "grad_norm_var": 0.9202473958333334, + "learning_rate": 6.708460539457418e-05, + "loss": 6.8118, + "loss/crossentropy": 2.442874252796173, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.16201021894812584, + "step": 2335 + }, + { + "epoch": 0.3893333333333333, + "grad_norm": 24.75, + "grad_norm_var": 1.0806640625, + "learning_rate": 6.70599988344336e-05, + "loss": 6.8227, + "loss/crossentropy": 1.7190757095813751, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.14746278896927834, + "step": 2336 + }, + { + "epoch": 0.3895, + "grad_norm": 26.375, + "grad_norm_var": 1.0212890625, + "learning_rate": 6.70353875971976e-05, + "loss": 6.8733, + "loss/crossentropy": 2.1457054018974304, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17718735709786415, + "step": 2337 + }, + { + "epoch": 0.38966666666666666, + "grad_norm": 26.875, + "grad_norm_var": 1.028125, + "learning_rate": 6.701077168961345e-05, + "loss": 6.6978, + "loss/crossentropy": 1.8384040594100952, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15696503221988678, + "step": 2338 + }, + { + "epoch": 0.3898333333333333, + "grad_norm": 27.5, + "grad_norm_var": 1.103125, + "learning_rate": 6.698615111842978e-05, + "loss": 6.7447, + "loss/crossentropy": 1.7545573711395264, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.15496946312487125, + "step": 2339 + }, + { + "epoch": 0.39, + "grad_norm": 27.0, + "grad_norm_var": 1.01015625, + "learning_rate": 6.696152589039644e-05, + "loss": 6.8441, + "loss/crossentropy": 1.897424355149269, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.17044737748801708, + "step": 2340 + }, + { + "epoch": 0.39016666666666666, + "grad_norm": 26.375, + "grad_norm_var": 0.990625, + "learning_rate": 6.693689601226458e-05, + "loss": 6.8546, + "loss/crossentropy": 1.849250078201294, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1362832672894001, + "step": 2341 + }, + { + "epoch": 0.3903333333333333, + "grad_norm": 27.375, + "grad_norm_var": 0.9384765625, + "learning_rate": 6.691226149078662e-05, + "loss": 6.8204, + "loss/crossentropy": 1.3796859681606293, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.133301118388772, + "step": 2342 + }, + { + "epoch": 0.3905, + "grad_norm": 28.75, + "grad_norm_var": 1.0702473958333334, + "learning_rate": 6.688762233271624e-05, + "loss": 6.9197, + "loss/crossentropy": 1.9766640961170197, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.26153096929192543, + "step": 2343 + }, + { + "epoch": 0.39066666666666666, + "grad_norm": 27.375, + "grad_norm_var": 1.0643229166666666, + "learning_rate": 6.686297854480843e-05, + "loss": 7.0373, + "loss/crossentropy": 2.2006111443042755, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1634809672832489, + "step": 2344 + }, + { + "epoch": 0.3908333333333333, + "grad_norm": 25.5, + "grad_norm_var": 1.1317057291666666, + "learning_rate": 6.683833013381941e-05, + "loss": 6.8813, + "loss/crossentropy": 2.088804841041565, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14199654385447502, + "step": 2345 + }, + { + "epoch": 0.391, + "grad_norm": 26.375, + "grad_norm_var": 1.1291015625, + "learning_rate": 6.68136771065067e-05, + "loss": 6.8872, + "loss/crossentropy": 1.4939546287059784, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.19811850599944592, + "step": 2346 + }, + { + "epoch": 0.39116666666666666, + "grad_norm": 27.25, + "grad_norm_var": 1.0447916666666666, + "learning_rate": 6.678901946962903e-05, + "loss": 7.0184, + "loss/crossentropy": 1.7966118454933167, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.23008551448583603, + "step": 2347 + }, + { + "epoch": 0.3913333333333333, + "grad_norm": 30.125, + "grad_norm_var": 1.8160807291666667, + "learning_rate": 6.676435722994647e-05, + "loss": 6.8348, + "loss/crossentropy": 2.2831028401851654, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.16300294920802116, + "step": 2348 + }, + { + "epoch": 0.3915, + "grad_norm": 26.75, + "grad_norm_var": 1.7572916666666667, + "learning_rate": 6.67396903942203e-05, + "loss": 6.7193, + "loss/crossentropy": 2.1573742628097534, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.15154269337654114, + "step": 2349 + }, + { + "epoch": 0.39166666666666666, + "grad_norm": 25.75, + "grad_norm_var": 1.8020182291666667, + "learning_rate": 6.671501896921304e-05, + "loss": 6.9528, + "loss/crossentropy": 2.1837911903858185, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.18068937957286835, + "step": 2350 + }, + { + "epoch": 0.3918333333333333, + "grad_norm": 25.5, + "grad_norm_var": 1.6962890625, + "learning_rate": 6.669034296168855e-05, + "loss": 6.6889, + "loss/crossentropy": 1.7527498006820679, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1575788278132677, + "step": 2351 + }, + { + "epoch": 0.392, + "grad_norm": 25.375, + "grad_norm_var": 1.5455729166666667, + "learning_rate": 6.666566237841187e-05, + "loss": 6.8318, + "loss/crossentropy": 2.0812375843524933, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.14717432484030724, + "step": 2352 + }, + { + "epoch": 0.39216666666666666, + "grad_norm": 26.875, + "grad_norm_var": 1.5268229166666667, + "learning_rate": 6.664097722614934e-05, + "loss": 6.747, + "loss/crossentropy": 1.99381884932518, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1609194353222847, + "step": 2353 + }, + { + "epoch": 0.3923333333333333, + "grad_norm": 25.5, + "grad_norm_var": 1.6535807291666667, + "learning_rate": 6.661628751166851e-05, + "loss": 6.6609, + "loss/crossentropy": 1.6271799504756927, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.15119227021932602, + "step": 2354 + }, + { + "epoch": 0.3925, + "grad_norm": 27.375, + "grad_norm_var": 1.6434895833333334, + "learning_rate": 6.659159324173823e-05, + "loss": 6.696, + "loss/crossentropy": 1.976803183555603, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1548304334282875, + "step": 2355 + }, + { + "epoch": 0.39266666666666666, + "grad_norm": 25.0, + "grad_norm_var": 1.84765625, + "learning_rate": 6.656689442312855e-05, + "loss": 6.6962, + "loss/crossentropy": 1.7994800508022308, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.1495393067598343, + "step": 2356 + }, + { + "epoch": 0.3928333333333333, + "grad_norm": 26.125, + "grad_norm_var": 1.8625, + "learning_rate": 6.654219106261082e-05, + "loss": 6.6831, + "loss/crossentropy": 2.0707740783691406, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15990174189209938, + "step": 2357 + }, + { + "epoch": 0.393, + "grad_norm": 26.625, + "grad_norm_var": 1.82890625, + "learning_rate": 6.651748316695759e-05, + "loss": 6.8115, + "loss/crossentropy": 1.7033197730779648, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17180664837360382, + "step": 2358 + }, + { + "epoch": 0.39316666666666666, + "grad_norm": 26.875, + "grad_norm_var": 1.5212890625, + "learning_rate": 6.649277074294264e-05, + "loss": 6.9949, + "loss/crossentropy": 2.09953972697258, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.168501578271389, + "step": 2359 + }, + { + "epoch": 0.3933333333333333, + "grad_norm": 25.875, + "grad_norm_var": 1.4916015625, + "learning_rate": 6.646805379734108e-05, + "loss": 7.0412, + "loss/crossentropy": 1.6692697405815125, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.22221672534942627, + "step": 2360 + }, + { + "epoch": 0.3935, + "grad_norm": 25.25, + "grad_norm_var": 1.5264973958333334, + "learning_rate": 6.644333233692916e-05, + "loss": 6.8264, + "loss/crossentropy": 2.3557469248771667, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.1731346733868122, + "step": 2361 + }, + { + "epoch": 0.39366666666666666, + "grad_norm": 26.375, + "grad_norm_var": 1.5264973958333334, + "learning_rate": 6.641860636848442e-05, + "loss": 6.8206, + "loss/crossentropy": 2.0989309549331665, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1640731766819954, + "step": 2362 + }, + { + "epoch": 0.3938333333333333, + "grad_norm": 26.25, + "grad_norm_var": 1.4775390625, + "learning_rate": 6.639387589878566e-05, + "loss": 6.7728, + "loss/crossentropy": 1.9732220768928528, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16292836517095566, + "step": 2363 + }, + { + "epoch": 0.394, + "grad_norm": 26.875, + "grad_norm_var": 0.5025390625, + "learning_rate": 6.63691409346128e-05, + "loss": 6.9471, + "loss/crossentropy": 2.009943664073944, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.1856016181409359, + "step": 2364 + }, + { + "epoch": 0.39416666666666667, + "grad_norm": 26.75, + "grad_norm_var": 0.5025390625, + "learning_rate": 6.634440148274713e-05, + "loss": 6.586, + "loss/crossentropy": 1.7318012863397598, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.14388659968972206, + "step": 2365 + }, + { + "epoch": 0.3943333333333333, + "grad_norm": 25.75, + "grad_norm_var": 0.5025390625, + "learning_rate": 6.63196575499711e-05, + "loss": 6.6748, + "loss/crossentropy": 1.0360842496156693, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.14554928988218307, + "step": 2366 + }, + { + "epoch": 0.3945, + "grad_norm": 26.125, + "grad_norm_var": 0.47291666666666665, + "learning_rate": 6.629490914306839e-05, + "loss": 7.0253, + "loss/crossentropy": 2.253171443939209, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.17219247296452522, + "step": 2367 + }, + { + "epoch": 0.39466666666666667, + "grad_norm": 25.5, + "grad_norm_var": 0.4603515625, + "learning_rate": 6.627015626882392e-05, + "loss": 6.8376, + "loss/crossentropy": 2.156461089849472, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.16158193349838257, + "step": 2368 + }, + { + "epoch": 0.3948333333333333, + "grad_norm": 24.625, + "grad_norm_var": 0.5728515625, + "learning_rate": 6.624539893402382e-05, + "loss": 6.4687, + "loss/crossentropy": 1.5168706327676773, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1722939144819975, + "step": 2369 + }, + { + "epoch": 0.395, + "grad_norm": 27.75, + "grad_norm_var": 0.7228515625, + "learning_rate": 6.62206371454555e-05, + "loss": 6.7364, + "loss/crossentropy": 1.9987385272979736, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17717855796217918, + "step": 2370 + }, + { + "epoch": 0.39516666666666667, + "grad_norm": 28.0, + "grad_norm_var": 0.8455729166666667, + "learning_rate": 6.619587090990748e-05, + "loss": 6.6716, + "loss/crossentropy": 1.9942574799060822, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1642109677195549, + "step": 2371 + }, + { + "epoch": 0.3953333333333333, + "grad_norm": 27.125, + "grad_norm_var": 0.7780598958333333, + "learning_rate": 6.61711002341696e-05, + "loss": 7.0275, + "loss/crossentropy": 2.037484735250473, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.19915587455034256, + "step": 2372 + }, + { + "epoch": 0.3955, + "grad_norm": 27.5, + "grad_norm_var": 0.8518229166666667, + "learning_rate": 6.614632512503288e-05, + "loss": 6.8233, + "loss/crossentropy": 1.9870141446590424, + "loss/hidden": 2.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.13756092637777328, + "step": 2373 + }, + { + "epoch": 0.39566666666666667, + "grad_norm": 25.5, + "grad_norm_var": 0.9051432291666667, + "learning_rate": 6.612154558928955e-05, + "loss": 6.8028, + "loss/crossentropy": 2.3977955281734467, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.14746682345867157, + "step": 2374 + }, + { + "epoch": 0.3958333333333333, + "grad_norm": 26.75, + "grad_norm_var": 0.8979166666666667, + "learning_rate": 6.609676163373306e-05, + "loss": 6.9013, + "loss/crossentropy": 1.827979415655136, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.2079402431845665, + "step": 2375 + }, + { + "epoch": 0.396, + "grad_norm": 25.5, + "grad_norm_var": 0.9317057291666667, + "learning_rate": 6.607197326515808e-05, + "loss": 6.81, + "loss/crossentropy": 1.7026238441467285, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15630845725536346, + "step": 2376 + }, + { + "epoch": 0.39616666666666667, + "grad_norm": 25.125, + "grad_norm_var": 0.9510416666666667, + "learning_rate": 6.604718049036048e-05, + "loss": 6.7859, + "loss/crossentropy": 1.9149582386016846, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.20173826068639755, + "step": 2377 + }, + { + "epoch": 0.3963333333333333, + "grad_norm": 25.25, + "grad_norm_var": 1.0254557291666666, + "learning_rate": 6.602238331613732e-05, + "loss": 6.6355, + "loss/crossentropy": 1.7907590568065643, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.13750388100743294, + "step": 2378 + }, + { + "epoch": 0.3965, + "grad_norm": 27.375, + "grad_norm_var": 1.1010416666666667, + "learning_rate": 6.599758174928693e-05, + "loss": 6.7658, + "loss/crossentropy": 1.7447836995124817, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.1864926964044571, + "step": 2379 + }, + { + "epoch": 0.39666666666666667, + "grad_norm": 28.5, + "grad_norm_var": 1.3811848958333333, + "learning_rate": 6.597277579660876e-05, + "loss": 6.8112, + "loss/crossentropy": 2.384903132915497, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.14643269777297974, + "step": 2380 + }, + { + "epoch": 0.3968333333333333, + "grad_norm": 28.75, + "grad_norm_var": 1.7124348958333333, + "learning_rate": 6.594796546490351e-05, + "loss": 7.0326, + "loss/crossentropy": 1.9554445445537567, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1832377202808857, + "step": 2381 + }, + { + "epoch": 0.397, + "grad_norm": 31.375, + "grad_norm_var": 3.0747395833333333, + "learning_rate": 6.592315076097307e-05, + "loss": 6.7169, + "loss/crossentropy": 1.9391972720623016, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1576930470764637, + "step": 2382 + }, + { + "epoch": 0.39716666666666667, + "grad_norm": 26.5, + "grad_norm_var": 3.043684895833333, + "learning_rate": 6.589833169162054e-05, + "loss": 7.0173, + "loss/crossentropy": 1.7366683781147003, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.23437469825148582, + "step": 2383 + }, + { + "epoch": 0.3973333333333333, + "grad_norm": 26.5, + "grad_norm_var": 2.9134765625, + "learning_rate": 6.587350826365023e-05, + "loss": 6.7367, + "loss/crossentropy": 2.05460923910141, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15851164981722832, + "step": 2384 + }, + { + "epoch": 0.3975, + "grad_norm": 27.375, + "grad_norm_var": 2.512434895833333, + "learning_rate": 6.58486804838676e-05, + "loss": 6.752, + "loss/crossentropy": 1.7647038251161575, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.1420721635222435, + "step": 2385 + }, + { + "epoch": 0.39766666666666667, + "grad_norm": 25.25, + "grad_norm_var": 2.7129557291666666, + "learning_rate": 6.582384835907931e-05, + "loss": 6.7132, + "loss/crossentropy": 1.5111331641674042, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.13129163533449173, + "step": 2386 + }, + { + "epoch": 0.3978333333333333, + "grad_norm": 3556769792.0, + "grad_norm_var": 7.906631975946596e+17, + "learning_rate": 6.579901189609325e-05, + "loss": 6.9834, + "loss/crossentropy": 2.25594899058342, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1742689162492752, + "step": 2387 + }, + { + "epoch": 0.398, + "grad_norm": 29.25, + "grad_norm_var": 7.906631975316751e+17, + "learning_rate": 6.577417110171848e-05, + "loss": 6.6973, + "loss/crossentropy": 2.1097635328769684, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1745387502014637, + "step": 2388 + }, + { + "epoch": 0.39816666666666667, + "grad_norm": 27.625, + "grad_norm_var": 7.906631975279702e+17, + "learning_rate": 6.574932598276525e-05, + "loss": 6.8867, + "loss/crossentropy": 1.625987485051155, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.22718521021306515, + "step": 2389 + }, + { + "epoch": 0.3983333333333333, + "grad_norm": 26.125, + "grad_norm_var": 7.906631975094452e+17, + "learning_rate": 6.572447654604497e-05, + "loss": 6.9006, + "loss/crossentropy": 1.7787948548793793, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.19332798197865486, + "step": 2390 + }, + { + "epoch": 0.3985, + "grad_norm": 26.875, + "grad_norm_var": 7.906631975057403e+17, + "learning_rate": 6.569962279837026e-05, + "loss": 6.6409, + "loss/crossentropy": 1.5556496381759644, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16146883741021156, + "step": 2391 + }, + { + "epoch": 0.39866666666666667, + "grad_norm": 27.375, + "grad_norm_var": 7.906631974501658e+17, + "learning_rate": 6.567476474655491e-05, + "loss": 6.7845, + "loss/crossentropy": 1.99583238363266, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1578788235783577, + "step": 2392 + }, + { + "epoch": 0.3988333333333333, + "grad_norm": 25.375, + "grad_norm_var": 7.906631974427558e+17, + "learning_rate": 6.564990239741391e-05, + "loss": 6.8161, + "loss/crossentropy": 2.009332448244095, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.17088672146201134, + "step": 2393 + }, + { + "epoch": 0.399, + "grad_norm": 27.25, + "grad_norm_var": 7.906631973834764e+17, + "learning_rate": 6.562503575776342e-05, + "loss": 6.7623, + "loss/crossentropy": 2.0047188997268677, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18896332755684853, + "step": 2394 + }, + { + "epoch": 0.39916666666666667, + "grad_norm": 25.625, + "grad_norm_var": 7.906631974353459e+17, + "learning_rate": 6.560016483442075e-05, + "loss": 6.7224, + "loss/crossentropy": 1.9583649337291718, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14656022563576698, + "step": 2395 + }, + { + "epoch": 0.3993333333333333, + "grad_norm": 25.5, + "grad_norm_var": 7.906631975242651e+17, + "learning_rate": 6.557528963420442e-05, + "loss": 6.6413, + "loss/crossentropy": 1.710436075925827, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.16422313451766968, + "step": 2396 + }, + { + "epoch": 0.3995, + "grad_norm": 115.5, + "grad_norm_var": 7.906631949530175e+17, + "learning_rate": 6.55504101639341e-05, + "loss": 7.088, + "loss/crossentropy": 2.0652720630168915, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.17672301083803177, + "step": 2397 + }, + { + "epoch": 0.39966666666666667, + "grad_norm": 28.5, + "grad_norm_var": 7.906631950382318e+17, + "learning_rate": 6.552552643043061e-05, + "loss": 6.9984, + "loss/crossentropy": 2.257367581129074, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.18116432800889015, + "step": 2398 + }, + { + "epoch": 0.3998333333333333, + "grad_norm": 26.625, + "grad_norm_var": 7.906631950345268e+17, + "learning_rate": 6.550063844051602e-05, + "loss": 6.8983, + "loss/crossentropy": 2.084953874349594, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16646252945065498, + "step": 2399 + }, + { + "epoch": 0.4, + "grad_norm": 29.75, + "grad_norm_var": 7.906631949381976e+17, + "learning_rate": 6.54757462010135e-05, + "loss": 6.9011, + "loss/crossentropy": 1.580193653702736, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.15637800842523575, + "step": 2400 + }, + { + "epoch": 0.40016666666666667, + "grad_norm": 27.625, + "grad_norm_var": 7.906631949307877e+17, + "learning_rate": 6.545084971874738e-05, + "loss": 6.6283, + "loss/crossentropy": 1.8589404374361038, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.1506776437163353, + "step": 2401 + }, + { + "epoch": 0.4003333333333333, + "grad_norm": 25.25, + "grad_norm_var": 7.906631949307877e+17, + "learning_rate": 6.542594900054318e-05, + "loss": 6.8501, + "loss/crossentropy": 1.445317804813385, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1633935682475567, + "step": 2402 + }, + { + "epoch": 0.4005, + "grad_norm": 25.625, + "grad_norm_var": 491.8759765625, + "learning_rate": 6.540104405322757e-05, + "loss": 6.808, + "loss/crossentropy": 2.2121481895446777, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.16684981063008308, + "step": 2403 + }, + { + "epoch": 0.40066666666666667, + "grad_norm": 27.25, + "grad_norm_var": 492.9905598958333, + "learning_rate": 6.537613488362837e-05, + "loss": 6.9472, + "loss/crossentropy": 2.4514149725437164, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.2173566296696663, + "step": 2404 + }, + { + "epoch": 0.4008333333333333, + "grad_norm": 24.375, + "grad_norm_var": 495.7056640625, + "learning_rate": 6.53512214985746e-05, + "loss": 6.5674, + "loss/crossentropy": 1.4821184128522873, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1414663940668106, + "step": 2405 + }, + { + "epoch": 0.401, + "grad_norm": 24.5, + "grad_norm_var": 497.1791666666667, + "learning_rate": 6.53263039048964e-05, + "loss": 6.7045, + "loss/crossentropy": 1.537007451057434, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15158887393772602, + "step": 2406 + }, + { + "epoch": 0.40116666666666667, + "grad_norm": 25.125, + "grad_norm_var": 498.58098958333335, + "learning_rate": 6.530138210942505e-05, + "loss": 6.9256, + "loss/crossentropy": 2.2523117065429688, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1701522096991539, + "step": 2407 + }, + { + "epoch": 0.4013333333333333, + "grad_norm": 26.125, + "grad_norm_var": 499.44166666666666, + "learning_rate": 6.5276456118993e-05, + "loss": 6.6708, + "loss/crossentropy": 2.0003645718097687, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.16714198142290115, + "step": 2408 + }, + { + "epoch": 0.4015, + "grad_norm": 26.0, + "grad_norm_var": 498.9244140625, + "learning_rate": 6.52515259404339e-05, + "loss": 6.8352, + "loss/crossentropy": 2.231957495212555, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.16388730332255363, + "step": 2409 + }, + { + "epoch": 0.40166666666666667, + "grad_norm": 28.875, + "grad_norm_var": 498.07890625, + "learning_rate": 6.522659158058242e-05, + "loss": 6.8357, + "loss/crossentropy": 2.064588189125061, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.16811198368668556, + "step": 2410 + }, + { + "epoch": 0.4018333333333333, + "grad_norm": 26.375, + "grad_norm_var": 497.475, + "learning_rate": 6.520165304627452e-05, + "loss": 7.1669, + "loss/crossentropy": 2.0525828897953033, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1728084534406662, + "step": 2411 + }, + { + "epoch": 0.402, + "grad_norm": 27.75, + "grad_norm_var": 495.82265625, + "learning_rate": 6.517671034434723e-05, + "loss": 6.8817, + "loss/crossentropy": 2.1178629994392395, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1734110377728939, + "step": 2412 + }, + { + "epoch": 0.4021666666666667, + "grad_norm": 25.25, + "grad_norm_var": 2.55, + "learning_rate": 6.515176348163871e-05, + "loss": 6.9761, + "loss/crossentropy": 1.8313535451889038, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1573218684643507, + "step": 2413 + }, + { + "epoch": 0.4023333333333333, + "grad_norm": 24.75, + "grad_norm_var": 2.46015625, + "learning_rate": 6.51268124649883e-05, + "loss": 6.7327, + "loss/crossentropy": 1.8677333891391754, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.14985327422618866, + "step": 2414 + }, + { + "epoch": 0.4025, + "grad_norm": 26.875, + "grad_norm_var": 2.4739583333333335, + "learning_rate": 6.510185730123646e-05, + "loss": 6.8975, + "loss/crossentropy": 2.136382609605789, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.15223726630210876, + "step": 2415 + }, + { + "epoch": 0.4026666666666667, + "grad_norm": 29.125, + "grad_norm_var": 2.2145182291666665, + "learning_rate": 6.507689799722478e-05, + "loss": 6.8743, + "loss/crossentropy": 1.9464706182479858, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1630486249923706, + "step": 2416 + }, + { + "epoch": 0.4028333333333333, + "grad_norm": 26.375, + "grad_norm_var": 2.0921223958333335, + "learning_rate": 6.505193455979603e-05, + "loss": 6.9077, + "loss/crossentropy": 2.12031227350235, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.15606646984815598, + "step": 2417 + }, + { + "epoch": 0.403, + "grad_norm": 26.625, + "grad_norm_var": 2.03125, + "learning_rate": 6.502696699579405e-05, + "loss": 7.0647, + "loss/crossentropy": 1.6136747002601624, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.20781651139259338, + "step": 2418 + }, + { + "epoch": 0.4031666666666667, + "grad_norm": 27.75, + "grad_norm_var": 2.1186848958333333, + "learning_rate": 6.500199531206382e-05, + "loss": 6.7963, + "loss/crossentropy": 1.498014971613884, + "loss/hidden": 3.6875, + "loss/jsd": 0.0, + "loss/logits": 0.20728542655706406, + "step": 2419 + }, + { + "epoch": 0.4033333333333333, + "grad_norm": 25.25, + "grad_norm_var": 2.1541015625, + "learning_rate": 6.49770195154515e-05, + "loss": 6.774, + "loss/crossentropy": 1.8619219362735748, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.15507182851433754, + "step": 2420 + }, + { + "epoch": 0.4035, + "grad_norm": 55.0, + "grad_norm_var": 52.82890625, + "learning_rate": 6.495203961280434e-05, + "loss": 7.0197, + "loss/crossentropy": 1.9670444428920746, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.187067698687315, + "step": 2421 + }, + { + "epoch": 0.4036666666666667, + "grad_norm": 29.375, + "grad_norm_var": 51.8869140625, + "learning_rate": 6.492705561097073e-05, + "loss": 6.8356, + "loss/crossentropy": 1.708122655749321, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.20964742824435234, + "step": 2422 + }, + { + "epoch": 0.4038333333333333, + "grad_norm": 29.0, + "grad_norm_var": 51.061458333333334, + "learning_rate": 6.490206751680014e-05, + "loss": 7.0822, + "loss/crossentropy": 2.0800398886203766, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.20342343300580978, + "step": 2423 + }, + { + "epoch": 0.404, + "grad_norm": 24.625, + "grad_norm_var": 51.733333333333334, + "learning_rate": 6.487707533714324e-05, + "loss": 6.7481, + "loss/crossentropy": 1.5592031627893448, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1578284502029419, + "step": 2424 + }, + { + "epoch": 0.4041666666666667, + "grad_norm": 25.875, + "grad_norm_var": 51.7791015625, + "learning_rate": 6.485207907885175e-05, + "loss": 7.1974, + "loss/crossentropy": 2.1155748665332794, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1686776988208294, + "step": 2425 + }, + { + "epoch": 0.4043333333333333, + "grad_norm": 27.25, + "grad_norm_var": 51.90182291666667, + "learning_rate": 6.482707874877854e-05, + "loss": 7.0039, + "loss/crossentropy": 2.1120460629463196, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.17187189497053623, + "step": 2426 + }, + { + "epoch": 0.4045, + "grad_norm": 24.0, + "grad_norm_var": 52.95201822916667, + "learning_rate": 6.480207435377762e-05, + "loss": 6.4944, + "loss/crossentropy": 1.576673462986946, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.17678438127040863, + "step": 2427 + }, + { + "epoch": 0.4046666666666667, + "grad_norm": 25.375, + "grad_norm_var": 53.51979166666667, + "learning_rate": 6.477706590070406e-05, + "loss": 6.8427, + "loss/crossentropy": 1.7003315836191177, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.19727667421102524, + "step": 2428 + }, + { + "epoch": 0.4048333333333333, + "grad_norm": 26.75, + "grad_norm_var": 53.05416666666667, + "learning_rate": 6.475205339641407e-05, + "loss": 6.7316, + "loss/crossentropy": 1.3252526968717575, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.1544190961867571, + "step": 2429 + }, + { + "epoch": 0.405, + "grad_norm": 25.25, + "grad_norm_var": 52.828125, + "learning_rate": 6.472703684776497e-05, + "loss": 6.8475, + "loss/crossentropy": 1.7960362136363983, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17207765206694603, + "step": 2430 + }, + { + "epoch": 0.4051666666666667, + "grad_norm": 26.75, + "grad_norm_var": 52.85462239583333, + "learning_rate": 6.47020162616152e-05, + "loss": 7.2572, + "loss/crossentropy": 2.0132616460323334, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.24856551364064217, + "step": 2431 + }, + { + "epoch": 0.4053333333333333, + "grad_norm": 26.0, + "grad_norm_var": 53.16223958333333, + "learning_rate": 6.467699164482428e-05, + "loss": 7.0696, + "loss/crossentropy": 2.2285561859607697, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.16743317618966103, + "step": 2432 + }, + { + "epoch": 0.4055, + "grad_norm": 25.375, + "grad_norm_var": 53.46848958333333, + "learning_rate": 6.465196300425287e-05, + "loss": 6.5897, + "loss/crossentropy": 1.576894074678421, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.14778507128357887, + "step": 2433 + }, + { + "epoch": 0.4056666666666667, + "grad_norm": 26.125, + "grad_norm_var": 53.58515625, + "learning_rate": 6.462693034676271e-05, + "loss": 6.7161, + "loss/crossentropy": 1.6405914574861526, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.1316718440502882, + "step": 2434 + }, + { + "epoch": 0.4058333333333333, + "grad_norm": 57.5, + "grad_norm_var": 107.47604166666666, + "learning_rate": 6.460189367921663e-05, + "loss": 6.7109, + "loss/crossentropy": 1.345786765217781, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.14126594737172127, + "step": 2435 + }, + { + "epoch": 0.406, + "grad_norm": 28.0, + "grad_norm_var": 106.21848958333334, + "learning_rate": 6.457685300847858e-05, + "loss": 6.719, + "loss/crossentropy": 2.0012500286102295, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.16181448847055435, + "step": 2436 + }, + { + "epoch": 0.4061666666666667, + "grad_norm": 35.75, + "grad_norm_var": 65.57291666666667, + "learning_rate": 6.455180834141359e-05, + "loss": 6.9982, + "loss/crossentropy": 1.9076215624809265, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.1558636911213398, + "step": 2437 + }, + { + "epoch": 0.4063333333333333, + "grad_norm": 27.25, + "grad_norm_var": 65.73118489583334, + "learning_rate": 6.452675968488783e-05, + "loss": 6.7474, + "loss/crossentropy": 1.7419730722904205, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.1524103507399559, + "step": 2438 + }, + { + "epoch": 0.4065, + "grad_norm": 26.625, + "grad_norm_var": 66.021875, + "learning_rate": 6.450170704576852e-05, + "loss": 6.7706, + "loss/crossentropy": 2.5115545988082886, + "loss/hidden": 2.95703125, + "loss/jsd": 0.0, + "loss/logits": 0.14534624479711056, + "step": 2439 + }, + { + "epoch": 0.4066666666666667, + "grad_norm": 29.0, + "grad_norm_var": 64.8666015625, + "learning_rate": 6.447665043092396e-05, + "loss": 6.9138, + "loss/crossentropy": 2.0061833560466766, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.21969490870833397, + "step": 2440 + }, + { + "epoch": 0.4068333333333333, + "grad_norm": 26.875, + "grad_norm_var": 64.52180989583333, + "learning_rate": 6.445158984722358e-05, + "loss": 6.8544, + "loss/crossentropy": 2.075794130563736, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1625579260289669, + "step": 2441 + }, + { + "epoch": 0.407, + "grad_norm": 26.0, + "grad_norm_var": 64.90983072916667, + "learning_rate": 6.442652530153789e-05, + "loss": 6.618, + "loss/crossentropy": 2.1168605983257294, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15845603123307228, + "step": 2442 + }, + { + "epoch": 0.4071666666666667, + "grad_norm": 25.875, + "grad_norm_var": 63.901041666666664, + "learning_rate": 6.440145680073847e-05, + "loss": 7.1393, + "loss/crossentropy": 1.9682182371616364, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.17068976908922195, + "step": 2443 + }, + { + "epoch": 0.4073333333333333, + "grad_norm": 27.5, + "grad_norm_var": 63.14733072916667, + "learning_rate": 6.437638435169798e-05, + "loss": 6.9785, + "loss/crossentropy": 2.49484646320343, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.14673476293683052, + "step": 2444 + }, + { + "epoch": 0.4075, + "grad_norm": 26.25, + "grad_norm_var": 63.323893229166664, + "learning_rate": 6.435130796129018e-05, + "loss": 7.0286, + "loss/crossentropy": 2.06765416264534, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.16866644099354744, + "step": 2445 + }, + { + "epoch": 0.4076666666666667, + "grad_norm": 27.0, + "grad_norm_var": 62.609309895833334, + "learning_rate": 6.432622763638993e-05, + "loss": 6.5372, + "loss/crossentropy": 1.4680253118276596, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1498016119003296, + "step": 2446 + }, + { + "epoch": 0.4078333333333333, + "grad_norm": 25.625, + "grad_norm_var": 63.06223958333333, + "learning_rate": 6.43011433838731e-05, + "loss": 6.9948, + "loss/crossentropy": 2.139008194208145, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1862662173807621, + "step": 2447 + }, + { + "epoch": 0.408, + "grad_norm": 25.25, + "grad_norm_var": 63.41458333333333, + "learning_rate": 6.42760552106167e-05, + "loss": 6.905, + "loss/crossentropy": 1.8233259320259094, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.14833687618374825, + "step": 2448 + }, + { + "epoch": 0.4081666666666667, + "grad_norm": 28.0, + "grad_norm_var": 62.53274739583333, + "learning_rate": 6.42509631234988e-05, + "loss": 6.6822, + "loss/crossentropy": 1.4213766306638718, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.15340506285429, + "step": 2449 + }, + { + "epoch": 0.4083333333333333, + "grad_norm": 26.875, + "grad_norm_var": 62.25149739583333, + "learning_rate": 6.422586712939855e-05, + "loss": 6.7818, + "loss/crossentropy": 2.1126876771450043, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.1675533838570118, + "step": 2450 + }, + { + "epoch": 0.4085, + "grad_norm": 28.0, + "grad_norm_var": 5.8634765625, + "learning_rate": 6.420076723519614e-05, + "loss": 6.728, + "loss/crossentropy": 2.2059687972068787, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.14708926156163216, + "step": 2451 + }, + { + "epoch": 0.4086666666666667, + "grad_norm": 27.75, + "grad_norm_var": 5.850455729166667, + "learning_rate": 6.417566344777285e-05, + "loss": 6.9409, + "loss/crossentropy": 2.297195941209793, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19095397368073463, + "step": 2452 + }, + { + "epoch": 0.4088333333333333, + "grad_norm": 27.0, + "grad_norm_var": 0.9832682291666667, + "learning_rate": 6.415055577401102e-05, + "loss": 6.8356, + "loss/crossentropy": 1.9084744155406952, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.15492447838187218, + "step": 2453 + }, + { + "epoch": 0.409, + "grad_norm": 29.125, + "grad_norm_var": 1.2830729166666666, + "learning_rate": 6.412544422079407e-05, + "loss": 6.7631, + "loss/crossentropy": 1.7198861837387085, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.18272611126303673, + "step": 2454 + }, + { + "epoch": 0.4091666666666667, + "grad_norm": 26.75, + "grad_norm_var": 1.2770182291666667, + "learning_rate": 6.410032879500647e-05, + "loss": 6.8471, + "loss/crossentropy": 1.87732695043087, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.12723924033343792, + "step": 2455 + }, + { + "epoch": 0.4093333333333333, + "grad_norm": 27.375, + "grad_norm_var": 1.0205729166666666, + "learning_rate": 6.407520950353377e-05, + "loss": 7.1287, + "loss/crossentropy": 2.0734984278678894, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1841459609568119, + "step": 2456 + }, + { + "epoch": 0.4095, + "grad_norm": 24.75, + "grad_norm_var": 1.3249348958333333, + "learning_rate": 6.405008635326257e-05, + "loss": 6.7082, + "loss/crossentropy": 2.0044603049755096, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.14789893850684166, + "step": 2457 + }, + { + "epoch": 0.4096666666666667, + "grad_norm": 24.25, + "grad_norm_var": 1.7077473958333333, + "learning_rate": 6.402495935108048e-05, + "loss": 6.8735, + "loss/crossentropy": 2.158928781747818, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.1681729406118393, + "step": 2458 + }, + { + "epoch": 0.4098333333333333, + "grad_norm": 25.75, + "grad_norm_var": 1.72265625, + "learning_rate": 6.399982850387624e-05, + "loss": 6.6705, + "loss/crossentropy": 1.830395132303238, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.19028659164905548, + "step": 2459 + }, + { + "epoch": 0.41, + "grad_norm": 25.375, + "grad_norm_var": 1.7791015625, + "learning_rate": 6.397469381853964e-05, + "loss": 6.5916, + "loss/crossentropy": 1.9702816009521484, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.1819646917283535, + "step": 2460 + }, + { + "epoch": 0.4101666666666667, + "grad_norm": 24.625, + "grad_norm_var": 2.013541666666667, + "learning_rate": 6.394955530196147e-05, + "loss": 6.8582, + "loss/crossentropy": 1.9903499782085419, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.16806786879897118, + "step": 2461 + }, + { + "epoch": 0.4103333333333333, + "grad_norm": 24.75, + "grad_norm_var": 2.1705729166666665, + "learning_rate": 6.392441296103358e-05, + "loss": 6.8105, + "loss/crossentropy": 1.9557738900184631, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.19197628274559975, + "step": 2462 + }, + { + "epoch": 0.4105, + "grad_norm": 26.625, + "grad_norm_var": 2.1393229166666665, + "learning_rate": 6.389926680264892e-05, + "loss": 6.9117, + "loss/crossentropy": 1.7357138097286224, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.19750121980905533, + "step": 2463 + }, + { + "epoch": 0.4106666666666667, + "grad_norm": 24.5, + "grad_norm_var": 2.2885416666666667, + "learning_rate": 6.387411683370144e-05, + "loss": 6.6958, + "loss/crossentropy": 2.3675737380981445, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17275352030992508, + "step": 2464 + }, + { + "epoch": 0.41083333333333333, + "grad_norm": 25.125, + "grad_norm_var": 2.1702473958333335, + "learning_rate": 6.384896306108612e-05, + "loss": 6.8314, + "loss/crossentropy": 1.8206487596035004, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.16689592972397804, + "step": 2465 + }, + { + "epoch": 0.411, + "grad_norm": 27.75, + "grad_norm_var": 2.301041666666667, + "learning_rate": 6.382380549169905e-05, + "loss": 6.8859, + "loss/crossentropy": 1.860111564397812, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.1582115963101387, + "step": 2466 + }, + { + "epoch": 0.4111666666666667, + "grad_norm": 26.25, + "grad_norm_var": 2.0768229166666665, + "learning_rate": 6.37986441324373e-05, + "loss": 6.6923, + "loss/crossentropy": 2.0755509734153748, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.15465720742940903, + "step": 2467 + }, + { + "epoch": 0.41133333333333333, + "grad_norm": 25.75, + "grad_norm_var": 1.8893229166666667, + "learning_rate": 6.377347899019899e-05, + "loss": 6.7607, + "loss/crossentropy": 2.232831746339798, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.14974839985370636, + "step": 2468 + }, + { + "epoch": 0.4115, + "grad_norm": 26.25, + "grad_norm_var": 1.8229166666666667, + "learning_rate": 6.374831007188332e-05, + "loss": 6.8105, + "loss/crossentropy": 2.3899860978126526, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1639578826725483, + "step": 2469 + }, + { + "epoch": 0.4116666666666667, + "grad_norm": 25.375, + "grad_norm_var": 1.1080729166666667, + "learning_rate": 6.372313738439044e-05, + "loss": 6.5631, + "loss/crossentropy": 1.703120768070221, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.162254199385643, + "step": 2470 + }, + { + "epoch": 0.41183333333333333, + "grad_norm": 25.0, + "grad_norm_var": 1.0552083333333333, + "learning_rate": 6.369796093462164e-05, + "loss": 6.5942, + "loss/crossentropy": 2.348372131586075, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18017329648137093, + "step": 2471 + }, + { + "epoch": 0.412, + "grad_norm": 25.0, + "grad_norm_var": 0.8436848958333333, + "learning_rate": 6.367278072947914e-05, + "loss": 6.5918, + "loss/crossentropy": 1.6634221076965332, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.17037519812583923, + "step": 2472 + }, + { + "epoch": 0.4121666666666667, + "grad_norm": 26.375, + "grad_norm_var": 0.8580729166666666, + "learning_rate": 6.364759677586627e-05, + "loss": 6.8367, + "loss/crossentropy": 2.397175669670105, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.19348593801259995, + "step": 2473 + }, + { + "epoch": 0.41233333333333333, + "grad_norm": 25.0, + "grad_norm_var": 0.7635416666666667, + "learning_rate": 6.362240908068733e-05, + "loss": 7.1681, + "loss/crossentropy": 2.3423688113689423, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.19216611981391907, + "step": 2474 + }, + { + "epoch": 0.4125, + "grad_norm": 26.875, + "grad_norm_var": 0.8660807291666667, + "learning_rate": 6.35972176508477e-05, + "loss": 7.0017, + "loss/crossentropy": 2.055697947740555, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1567685604095459, + "step": 2475 + }, + { + "epoch": 0.4126666666666667, + "grad_norm": 50.75, + "grad_norm_var": 40.13125, + "learning_rate": 6.357202249325371e-05, + "loss": 7.1163, + "loss/crossentropy": 2.280906915664673, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.1432918030768633, + "step": 2476 + }, + { + "epoch": 0.41283333333333333, + "grad_norm": 27.25, + "grad_norm_var": 39.6431640625, + "learning_rate": 6.35468236148128e-05, + "loss": 6.7229, + "loss/crossentropy": 1.9991113245487213, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.15334361419081688, + "step": 2477 + }, + { + "epoch": 0.413, + "grad_norm": 26.5, + "grad_norm_var": 39.212955729166666, + "learning_rate": 6.352162102243337e-05, + "loss": 6.853, + "loss/crossentropy": 1.9306348264217377, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.20300956815481186, + "step": 2478 + }, + { + "epoch": 0.4131666666666667, + "grad_norm": 24.625, + "grad_norm_var": 39.7025390625, + "learning_rate": 6.349641472302483e-05, + "loss": 6.7869, + "loss/crossentropy": 1.632624015212059, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.14805776253342628, + "step": 2479 + }, + { + "epoch": 0.41333333333333333, + "grad_norm": 24.625, + "grad_norm_var": 39.655208333333334, + "learning_rate": 6.347120472349764e-05, + "loss": 6.6467, + "loss/crossentropy": 2.0582397282123566, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.16991465911269188, + "step": 2480 + }, + { + "epoch": 0.4135, + "grad_norm": 24.625, + "grad_norm_var": 39.822916666666664, + "learning_rate": 6.344599103076329e-05, + "loss": 6.7141, + "loss/crossentropy": 2.102111130952835, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.18233391270041466, + "step": 2481 + }, + { + "epoch": 0.4136666666666667, + "grad_norm": 26.625, + "grad_norm_var": 39.845768229166666, + "learning_rate": 6.342077365173423e-05, + "loss": 6.8693, + "loss/crossentropy": 1.5424001812934875, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18824997916817665, + "step": 2482 + }, + { + "epoch": 0.41383333333333333, + "grad_norm": 25.25, + "grad_norm_var": 40.048893229166666, + "learning_rate": 6.339555259332398e-05, + "loss": 6.8122, + "loss/crossentropy": 1.938632220029831, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.19535111263394356, + "step": 2483 + }, + { + "epoch": 0.414, + "grad_norm": 26.75, + "grad_norm_var": 39.912434895833336, + "learning_rate": 6.337032786244699e-05, + "loss": 7.0333, + "loss/crossentropy": 2.155646115541458, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18436097726225853, + "step": 2484 + }, + { + "epoch": 0.4141666666666667, + "grad_norm": 25.625, + "grad_norm_var": 40.024739583333336, + "learning_rate": 6.334509946601879e-05, + "loss": 6.7946, + "loss/crossentropy": 2.052544802427292, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.1663399562239647, + "step": 2485 + }, + { + "epoch": 0.41433333333333333, + "grad_norm": 27.125, + "grad_norm_var": 39.775, + "learning_rate": 6.331986741095588e-05, + "loss": 6.8338, + "loss/crossentropy": 1.8500926494598389, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.18705154955387115, + "step": 2486 + }, + { + "epoch": 0.4145, + "grad_norm": 24.0, + "grad_norm_var": 40.15416666666667, + "learning_rate": 6.329463170417578e-05, + "loss": 6.6526, + "loss/crossentropy": 1.9045593440532684, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1609310396015644, + "step": 2487 + }, + { + "epoch": 0.4146666666666667, + "grad_norm": 26.125, + "grad_norm_var": 39.886393229166664, + "learning_rate": 6.3269392352597e-05, + "loss": 6.8379, + "loss/crossentropy": 1.849776715040207, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.21265124529600143, + "step": 2488 + }, + { + "epoch": 0.41483333333333333, + "grad_norm": 25.0, + "grad_norm_var": 40.18932291666667, + "learning_rate": 6.324414936313904e-05, + "loss": 6.6876, + "loss/crossentropy": 1.9447439461946487, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.1513720005750656, + "step": 2489 + }, + { + "epoch": 0.415, + "grad_norm": 25.875, + "grad_norm_var": 39.96920572916667, + "learning_rate": 6.321890274272243e-05, + "loss": 6.796, + "loss/crossentropy": 2.1727565973997116, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.17887142673134804, + "step": 2490 + }, + { + "epoch": 0.4151666666666667, + "grad_norm": 27.625, + "grad_norm_var": 39.956705729166664, + "learning_rate": 6.319365249826865e-05, + "loss": 6.8666, + "loss/crossentropy": 2.198118895292282, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.19886348024010658, + "step": 2491 + }, + { + "epoch": 0.41533333333333333, + "grad_norm": 27.375, + "grad_norm_var": 1.3270833333333334, + "learning_rate": 6.31683986367002e-05, + "loss": 6.8174, + "loss/crossentropy": 1.9714609682559967, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.1624852418899536, + "step": 2492 + }, + { + "epoch": 0.4155, + "grad_norm": 26.125, + "grad_norm_var": 1.2093098958333333, + "learning_rate": 6.31431411649406e-05, + "loss": 6.5956, + "loss/crossentropy": 1.943483829498291, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.15975921973586082, + "step": 2493 + }, + { + "epoch": 0.4156666666666667, + "grad_norm": 24.5, + "grad_norm_var": 1.2905598958333333, + "learning_rate": 6.311788008991432e-05, + "loss": 6.6163, + "loss/crossentropy": 1.7879917323589325, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16596719622612, + "step": 2494 + }, + { + "epoch": 0.41583333333333333, + "grad_norm": 24.75, + "grad_norm_var": 1.2729166666666667, + "learning_rate": 6.309261541854678e-05, + "loss": 6.899, + "loss/crossentropy": 2.0618541538715363, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.17462057247757912, + "step": 2495 + }, + { + "epoch": 0.416, + "grad_norm": 26.0, + "grad_norm_var": 1.1848307291666667, + "learning_rate": 6.306734715776447e-05, + "loss": 6.733, + "loss/crossentropy": 2.242476850748062, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.17872318625450134, + "step": 2496 + }, + { + "epoch": 0.4161666666666667, + "grad_norm": 26.125, + "grad_norm_var": 1.0832682291666667, + "learning_rate": 6.304207531449486e-05, + "loss": 6.859, + "loss/crossentropy": 2.2017227113246918, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.15444735065102577, + "step": 2497 + }, + { + "epoch": 0.41633333333333333, + "grad_norm": 28.0, + "grad_norm_var": 1.32890625, + "learning_rate": 6.301679989566631e-05, + "loss": 7.0701, + "loss/crossentropy": 1.5373402535915375, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.17571870982646942, + "step": 2498 + }, + { + "epoch": 0.4165, + "grad_norm": 25.5, + "grad_norm_var": 1.3072916666666667, + "learning_rate": 6.299152090820823e-05, + "loss": 6.6156, + "loss/crossentropy": 1.8519677817821503, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1534900739789009, + "step": 2499 + }, + { + "epoch": 0.4166666666666667, + "grad_norm": 24.25, + "grad_norm_var": 1.4583333333333333, + "learning_rate": 6.296623835905105e-05, + "loss": 6.771, + "loss/crossentropy": 1.8382076621055603, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.14961286261677742, + "step": 2500 + }, + { + "epoch": 0.41683333333333333, + "grad_norm": 24.125, + "grad_norm_var": 1.6489583333333333, + "learning_rate": 6.294095225512603e-05, + "loss": 6.7504, + "loss/crossentropy": 2.071428507566452, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.21384010091423988, + "step": 2501 + }, + { + "epoch": 0.417, + "grad_norm": 25.25, + "grad_norm_var": 1.5327473958333333, + "learning_rate": 6.29156626033656e-05, + "loss": 6.9532, + "loss/crossentropy": 1.8757939040660858, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1689772568643093, + "step": 2502 + }, + { + "epoch": 0.4171666666666667, + "grad_norm": 27.875, + "grad_norm_var": 1.6114583333333334, + "learning_rate": 6.2890369410703e-05, + "loss": 6.703, + "loss/crossentropy": 1.6349279433488846, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.18868954852223396, + "step": 2503 + }, + { + "epoch": 0.41733333333333333, + "grad_norm": 26.0, + "grad_norm_var": 1.6087890625, + "learning_rate": 6.286507268407251e-05, + "loss": 6.7076, + "loss/crossentropy": 1.685459554195404, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.20249143987894058, + "step": 2504 + }, + { + "epoch": 0.4175, + "grad_norm": 24.875, + "grad_norm_var": 1.6247395833333333, + "learning_rate": 6.283977243040939e-05, + "loss": 6.6145, + "loss/crossentropy": 1.9368962943553925, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.1703999973833561, + "step": 2505 + }, + { + "epoch": 0.4176666666666667, + "grad_norm": 25.0, + "grad_norm_var": 1.6744140625, + "learning_rate": 6.281446865664984e-05, + "loss": 6.6846, + "loss/crossentropy": 1.8834651708602905, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.16718285903334618, + "step": 2506 + }, + { + "epoch": 0.41783333333333333, + "grad_norm": 25.75, + "grad_norm_var": 1.446875, + "learning_rate": 6.278916136973103e-05, + "loss": 6.7117, + "loss/crossentropy": 1.9237027764320374, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.24048695713281631, + "step": 2507 + }, + { + "epoch": 0.418, + "grad_norm": 27.25, + "grad_norm_var": 1.4202473958333333, + "learning_rate": 6.276385057659108e-05, + "loss": 6.7778, + "loss/crossentropy": 1.8719561398029327, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.18500484712421894, + "step": 2508 + }, + { + "epoch": 0.4181666666666667, + "grad_norm": 24.625, + "grad_norm_var": 1.4780598958333333, + "learning_rate": 6.273853628416911e-05, + "loss": 6.8027, + "loss/crossentropy": 2.205473005771637, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.15757523477077484, + "step": 2509 + }, + { + "epoch": 0.41833333333333333, + "grad_norm": 25.5, + "grad_norm_var": 1.3916015625, + "learning_rate": 6.271321849940518e-05, + "loss": 6.9856, + "loss/crossentropy": 1.5951188653707504, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.13472971692681313, + "step": 2510 + }, + { + "epoch": 0.4185, + "grad_norm": 26.75, + "grad_norm_var": 1.3936848958333334, + "learning_rate": 6.268789722924029e-05, + "loss": 6.7548, + "loss/crossentropy": 1.873681128025055, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1616390086710453, + "step": 2511 + }, + { + "epoch": 0.4186666666666667, + "grad_norm": 25.125, + "grad_norm_var": 1.41875, + "learning_rate": 6.266257248061641e-05, + "loss": 6.7523, + "loss/crossentropy": 1.594488650560379, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.22131315618753433, + "step": 2512 + }, + { + "epoch": 0.41883333333333334, + "grad_norm": 25.875, + "grad_norm_var": 1.41015625, + "learning_rate": 6.263724426047647e-05, + "loss": 6.8523, + "loss/crossentropy": 2.1518452167510986, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.2076232172548771, + "step": 2513 + }, + { + "epoch": 0.419, + "grad_norm": 26.625, + "grad_norm_var": 1.1129557291666667, + "learning_rate": 6.261191257576435e-05, + "loss": 6.6455, + "loss/crossentropy": 2.314407706260681, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.187717966735363, + "step": 2514 + }, + { + "epoch": 0.4191666666666667, + "grad_norm": 27.0, + "grad_norm_var": 1.2238932291666667, + "learning_rate": 6.258657743342486e-05, + "loss": 7.0547, + "loss/crossentropy": 2.1908712089061737, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.17013362236320972, + "step": 2515 + }, + { + "epoch": 0.41933333333333334, + "grad_norm": 25.375, + "grad_norm_var": 1.0791666666666666, + "learning_rate": 6.256123884040378e-05, + "loss": 6.6599, + "loss/crossentropy": 2.376076400279999, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.15376953780651093, + "step": 2516 + }, + { + "epoch": 0.4195, + "grad_norm": 25.75, + "grad_norm_var": 0.8785807291666666, + "learning_rate": 6.253589680364785e-05, + "loss": 6.7225, + "loss/crossentropy": 1.9512425363063812, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.15836534276604652, + "step": 2517 + }, + { + "epoch": 0.4196666666666667, + "grad_norm": 25.0, + "grad_norm_var": 0.9046223958333334, + "learning_rate": 6.251055133010468e-05, + "loss": 6.769, + "loss/crossentropy": 1.909365564584732, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.1636924259364605, + "step": 2518 + }, + { + "epoch": 0.41983333333333334, + "grad_norm": 23.75, + "grad_norm_var": 0.8809895833333333, + "learning_rate": 6.248520242672292e-05, + "loss": 6.5359, + "loss/crossentropy": 2.0989435017108917, + "loss/hidden": 2.921875, + "loss/jsd": 0.0, + "loss/logits": 0.14785926043987274, + "step": 2519 + }, + { + "epoch": 0.42, + "grad_norm": 24.5, + "grad_norm_var": 0.9497395833333333, + "learning_rate": 6.245985010045213e-05, + "loss": 6.7266, + "loss/crossentropy": 2.296488583087921, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1579260565340519, + "step": 2520 + }, + { + "epoch": 0.4201666666666667, + "grad_norm": 25.875, + "grad_norm_var": 0.92265625, + "learning_rate": 6.243449435824276e-05, + "loss": 6.9292, + "loss/crossentropy": 2.0385861992836, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.17884115129709244, + "step": 2521 + }, + { + "epoch": 0.42033333333333334, + "grad_norm": 26.375, + "grad_norm_var": 0.9291015625, + "learning_rate": 6.240913520704621e-05, + "loss": 6.7295, + "loss/crossentropy": 1.9922802448272705, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.14266313053667545, + "step": 2522 + }, + { + "epoch": 0.4205, + "grad_norm": 25.25, + "grad_norm_var": 0.9410807291666666, + "learning_rate": 6.238377265381489e-05, + "loss": 6.5898, + "loss/crossentropy": 1.8438490331172943, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.18283303081989288, + "step": 2523 + }, + { + "epoch": 0.4206666666666667, + "grad_norm": 25.375, + "grad_norm_var": 0.7643229166666666, + "learning_rate": 6.235840670550204e-05, + "loss": 6.6594, + "loss/crossentropy": 1.3130835890769958, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.1476604975759983, + "step": 2524 + }, + { + "epoch": 0.42083333333333334, + "grad_norm": 23.75, + "grad_norm_var": 0.9197265625, + "learning_rate": 6.233303736906193e-05, + "loss": 6.6827, + "loss/crossentropy": 2.2090757489204407, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.14153105951845646, + "step": 2525 + }, + { + "epoch": 0.421, + "grad_norm": 25.5, + "grad_norm_var": 0.9197265625, + "learning_rate": 6.230766465144967e-05, + "loss": 6.661, + "loss/crossentropy": 1.9195044934749603, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.16178421676158905, + "step": 2526 + }, + { + "epoch": 0.4211666666666667, + "grad_norm": 26.0, + "grad_norm_var": 0.8291015625, + "learning_rate": 6.228228855962133e-05, + "loss": 6.6813, + "loss/crossentropy": 1.678396761417389, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.17425602301955223, + "step": 2527 + }, + { + "epoch": 0.42133333333333334, + "grad_norm": 27.25, + "grad_norm_var": 1.0205729166666666, + "learning_rate": 6.225690910053392e-05, + "loss": 6.8098, + "loss/crossentropy": 1.9870947301387787, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.15788978338241577, + "step": 2528 + }, + { + "epoch": 0.4215, + "grad_norm": 25.625, + "grad_norm_var": 1.0145833333333334, + "learning_rate": 6.223152628114537e-05, + "loss": 6.9569, + "loss/crossentropy": 1.8062513768672943, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.1955486759543419, + "step": 2529 + }, + { + "epoch": 0.4216666666666667, + "grad_norm": 26.0, + "grad_norm_var": 0.9504557291666667, + "learning_rate": 6.220614010841453e-05, + "loss": 6.8362, + "loss/crossentropy": 1.8957811892032623, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.17592975869774818, + "step": 2530 + }, + { + "epoch": 0.42183333333333334, + "grad_norm": 26.625, + "grad_norm_var": 0.8854166666666666, + "learning_rate": 6.218075058930113e-05, + "loss": 7.0082, + "loss/crossentropy": 2.053929328918457, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.18822917714715004, + "step": 2531 + }, + { + "epoch": 0.422, + "grad_norm": 25.875, + "grad_norm_var": 0.8927083333333333, + "learning_rate": 6.215535773076588e-05, + "loss": 6.7478, + "loss/crossentropy": 2.2503007650375366, + "loss/hidden": 2.953125, + "loss/jsd": 0.0, + "loss/logits": 0.15286584943532944, + "step": 2532 + }, + { + "epoch": 0.4221666666666667, + "grad_norm": 27.375, + "grad_norm_var": 1.1051432291666667, + "learning_rate": 6.212996153977037e-05, + "loss": 6.6561, + "loss/crossentropy": 1.2068671137094498, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.16103319451212883, + "step": 2533 + }, + { + "epoch": 0.42233333333333334, + "grad_norm": 27.125, + "grad_norm_var": 1.2080729166666666, + "learning_rate": 6.210456202327711e-05, + "loss": 7.1161, + "loss/crossentropy": 2.10728856921196, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15168725699186325, + "step": 2534 + }, + { + "epoch": 0.4225, + "grad_norm": 23.875, + "grad_norm_var": 1.1754557291666667, + "learning_rate": 6.207915918824952e-05, + "loss": 6.9941, + "loss/crossentropy": 1.8439359664916992, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.16213297843933105, + "step": 2535 + }, + { + "epoch": 0.4226666666666667, + "grad_norm": 25.5, + "grad_norm_var": 1.0681640625, + "learning_rate": 6.205375304165194e-05, + "loss": 6.8068, + "loss/crossentropy": 1.714948445558548, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.17039189487695694, + "step": 2536 + }, + { + "epoch": 0.42283333333333334, + "grad_norm": 26.75, + "grad_norm_var": 1.1205729166666667, + "learning_rate": 6.202834359044959e-05, + "loss": 7.0933, + "loss/crossentropy": 1.1734301894903183, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.16142511926591396, + "step": 2537 + }, + { + "epoch": 0.423, + "grad_norm": 27.125, + "grad_norm_var": 1.2041666666666666, + "learning_rate": 6.200293084160863e-05, + "loss": 6.7559, + "loss/crossentropy": 1.9990089535713196, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.21619433909654617, + "step": 2538 + }, + { + "epoch": 0.4231666666666667, + "grad_norm": 27.875, + "grad_norm_var": 1.3942057291666667, + "learning_rate": 6.19775148020961e-05, + "loss": 6.923, + "loss/crossentropy": 1.762176275253296, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.15404219925403595, + "step": 2539 + }, + { + "epoch": 0.42333333333333334, + "grad_norm": 25.0, + "grad_norm_var": 1.4393229166666666, + "learning_rate": 6.195209547887995e-05, + "loss": 6.7464, + "loss/crossentropy": 2.2453722655773163, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.14996151626110077, + "step": 2540 + }, + { + "epoch": 0.4235, + "grad_norm": 25.5, + "grad_norm_var": 1.0875, + "learning_rate": 6.192667287892905e-05, + "loss": 6.7159, + "loss/crossentropy": 2.057276338338852, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.16597075015306473, + "step": 2541 + }, + { + "epoch": 0.4236666666666667, + "grad_norm": 24.0, + "grad_norm_var": 1.365625, + "learning_rate": 6.190124700921312e-05, + "loss": 6.9822, + "loss/crossentropy": 2.0990221798419952, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.19206886366009712, + "step": 2542 + }, + { + "epoch": 0.42383333333333334, + "grad_norm": 24.5, + "grad_norm_var": 1.525, + "learning_rate": 6.187581787670285e-05, + "loss": 6.8331, + "loss/crossentropy": 2.3335689306259155, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.16299091279506683, + "step": 2543 + }, + { + "epoch": 0.424, + "grad_norm": 24.25, + "grad_norm_var": 1.5875, + "learning_rate": 6.185038548836974e-05, + "loss": 6.6881, + "loss/crossentropy": 1.9043703973293304, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15398136898875237, + "step": 2544 + }, + { + "epoch": 0.4241666666666667, + "grad_norm": 24.875, + "grad_norm_var": 1.64140625, + "learning_rate": 6.182494985118624e-05, + "loss": 6.5734, + "loss/crossentropy": 1.847578525543213, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.1407283879816532, + "step": 2545 + }, + { + "epoch": 0.42433333333333334, + "grad_norm": 25.5, + "grad_norm_var": 1.64140625, + "learning_rate": 6.179951097212566e-05, + "loss": 6.8104, + "loss/crossentropy": 1.7346063256263733, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.16808148100972176, + "step": 2546 + }, + { + "epoch": 0.4245, + "grad_norm": 25.5, + "grad_norm_var": 1.5869140625, + "learning_rate": 6.177406885816224e-05, + "loss": 6.6154, + "loss/crossentropy": 2.114783465862274, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.15596478432416916, + "step": 2547 + }, + { + "epoch": 0.4246666666666667, + "grad_norm": 26.5, + "grad_norm_var": 1.62890625, + "learning_rate": 6.174862351627108e-05, + "loss": 6.734, + "loss/crossentropy": 1.51843723654747, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.17119555361568928, + "step": 2548 + }, + { + "epoch": 0.42483333333333334, + "grad_norm": 26.625, + "grad_norm_var": 1.496875, + "learning_rate": 6.172317495342812e-05, + "loss": 6.8038, + "loss/crossentropy": 2.3924612402915955, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.17094305157661438, + "step": 2549 + }, + { + "epoch": 0.425, + "grad_norm": 27.125, + "grad_norm_var": 1.496875, + "learning_rate": 6.169772317661027e-05, + "loss": 6.5979, + "loss/crossentropy": 1.82606141269207, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.13713452778756618, + "step": 2550 + }, + { + "epoch": 0.4251666666666667, + "grad_norm": 28.375, + "grad_norm_var": 1.69375, + "learning_rate": 6.167226819279528e-05, + "loss": 6.8197, + "loss/crossentropy": 2.084484100341797, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.23009204491972923, + "step": 2551 + }, + { + "epoch": 0.42533333333333334, + "grad_norm": 26.625, + "grad_norm_var": 1.7072265625, + "learning_rate": 6.164681000896175e-05, + "loss": 6.9951, + "loss/crossentropy": 2.1369642317295074, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.18764959275722504, + "step": 2552 + }, + { + "epoch": 0.4255, + "grad_norm": 28.0, + "grad_norm_var": 1.9285807291666666, + "learning_rate": 6.16213486320892e-05, + "loss": 6.8892, + "loss/crossentropy": 1.787697583436966, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.1890365518629551, + "step": 2553 + }, + { + "epoch": 0.4256666666666667, + "grad_norm": 25.625, + "grad_norm_var": 1.8613932291666666, + "learning_rate": 6.159588406915803e-05, + "loss": 6.8923, + "loss/crossentropy": 2.0668608844280243, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16635023057460785, + "step": 2554 + }, + { + "epoch": 0.42583333333333334, + "grad_norm": 25.0, + "grad_norm_var": 1.65625, + "learning_rate": 6.157041632714945e-05, + "loss": 6.8062, + "loss/crossentropy": 1.6805103123188019, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1510009877383709, + "step": 2555 + }, + { + "epoch": 0.426, + "grad_norm": 26.125, + "grad_norm_var": 1.6134765625, + "learning_rate": 6.154494541304561e-05, + "loss": 6.7391, + "loss/crossentropy": 1.7778171747922897, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.140545304864645, + "step": 2556 + }, + { + "epoch": 0.4261666666666667, + "grad_norm": 26.0, + "grad_norm_var": 1.6035807291666666, + "learning_rate": 6.151947133382954e-05, + "loss": 6.8485, + "loss/crossentropy": 1.788491204380989, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14110253006219864, + "step": 2557 + }, + { + "epoch": 0.42633333333333334, + "grad_norm": 25.25, + "grad_norm_var": 1.3822265625, + "learning_rate": 6.149399409648504e-05, + "loss": 6.6037, + "loss/crossentropy": 1.996231198310852, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.19623872637748718, + "step": 2558 + }, + { + "epoch": 0.4265, + "grad_norm": 30.375, + "grad_norm_var": 2.3705729166666667, + "learning_rate": 6.146851370799689e-05, + "loss": 6.6764, + "loss/crossentropy": 1.7835851907730103, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1532508321106434, + "step": 2559 + }, + { + "epoch": 0.4266666666666667, + "grad_norm": 24.75, + "grad_norm_var": 2.2455729166666667, + "learning_rate": 6.144303017535066e-05, + "loss": 6.6354, + "loss/crossentropy": 2.36537829041481, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.15257472917437553, + "step": 2560 + }, + { + "epoch": 0.42683333333333334, + "grad_norm": 25.125, + "grad_norm_var": 2.198958333333333, + "learning_rate": 6.141754350553279e-05, + "loss": 6.5093, + "loss/crossentropy": 1.9961943328380585, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15353957936167717, + "step": 2561 + }, + { + "epoch": 0.427, + "grad_norm": 26.875, + "grad_norm_var": 2.1509765625, + "learning_rate": 6.139205370553063e-05, + "loss": 6.9548, + "loss/crossentropy": 1.9680663347244263, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.178896926343441, + "step": 2562 + }, + { + "epoch": 0.42716666666666664, + "grad_norm": 24.25, + "grad_norm_var": 2.4139973958333334, + "learning_rate": 6.136656078233232e-05, + "loss": 6.8727, + "loss/crossentropy": 2.0452471375465393, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.15945947915315628, + "step": 2563 + }, + { + "epoch": 0.42733333333333334, + "grad_norm": 28.875, + "grad_norm_var": 2.79375, + "learning_rate": 6.134106474292693e-05, + "loss": 7.121, + "loss/crossentropy": 1.504747450351715, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.21547003462910652, + "step": 2564 + }, + { + "epoch": 0.4275, + "grad_norm": 25.125, + "grad_norm_var": 2.921875, + "learning_rate": 6.13155655943043e-05, + "loss": 6.8888, + "loss/crossentropy": 1.540920302271843, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.146223783493042, + "step": 2565 + }, + { + "epoch": 0.42766666666666664, + "grad_norm": 25.75, + "grad_norm_var": 2.9197265625, + "learning_rate": 6.12900633434552e-05, + "loss": 6.6548, + "loss/crossentropy": 2.0006083548069, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.15610308572649956, + "step": 2566 + }, + { + "epoch": 0.42783333333333334, + "grad_norm": 26.25, + "grad_norm_var": 2.6375, + "learning_rate": 6.126455799737118e-05, + "loss": 6.7416, + "loss/crossentropy": 2.074988931417465, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1803853064775467, + "step": 2567 + }, + { + "epoch": 0.428, + "grad_norm": 24.0, + "grad_norm_var": 2.9369140625, + "learning_rate": 6.123904956304471e-05, + "loss": 6.6423, + "loss/crossentropy": 1.8604072630405426, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.1423157211393118, + "step": 2568 + }, + { + "epoch": 0.42816666666666664, + "grad_norm": 24.75, + "grad_norm_var": 2.7676432291666666, + "learning_rate": 6.121353804746907e-05, + "loss": 6.8725, + "loss/crossentropy": 1.8232632875442505, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.17102478072047234, + "step": 2569 + }, + { + "epoch": 0.42833333333333334, + "grad_norm": 23.625, + "grad_norm_var": 3.0863932291666667, + "learning_rate": 6.118802345763836e-05, + "loss": 6.8433, + "loss/crossentropy": 2.0334410071372986, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.170558400452137, + "step": 2570 + }, + { + "epoch": 0.4285, + "grad_norm": 24.875, + "grad_norm_var": 3.1, + "learning_rate": 6.116250580054757e-05, + "loss": 6.7641, + "loss/crossentropy": 1.9552137851715088, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17743344604969025, + "step": 2571 + }, + { + "epoch": 0.42866666666666664, + "grad_norm": 24.875, + "grad_norm_var": 3.13515625, + "learning_rate": 6.113698508319251e-05, + "loss": 6.8483, + "loss/crossentropy": 1.675033152103424, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.1541464738547802, + "step": 2572 + }, + { + "epoch": 0.42883333333333334, + "grad_norm": 22.75, + "grad_norm_var": 3.653125, + "learning_rate": 6.111146131256983e-05, + "loss": 6.6841, + "loss/crossentropy": 1.9799207746982574, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.16961069405078888, + "step": 2573 + }, + { + "epoch": 0.429, + "grad_norm": 24.875, + "grad_norm_var": 3.6728515625, + "learning_rate": 6.1085934495677e-05, + "loss": 6.6301, + "loss/crossentropy": 2.0857518911361694, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1539303995668888, + "step": 2574 + }, + { + "epoch": 0.42916666666666664, + "grad_norm": 27.875, + "grad_norm_var": 2.4202473958333335, + "learning_rate": 6.106040463951237e-05, + "loss": 6.878, + "loss/crossentropy": 1.7301075309515, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19302557036280632, + "step": 2575 + }, + { + "epoch": 0.42933333333333334, + "grad_norm": 26.75, + "grad_norm_var": 2.526497395833333, + "learning_rate": 6.103487175107507e-05, + "loss": 7.004, + "loss/crossentropy": 2.604750633239746, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.23810828104615211, + "step": 2576 + }, + { + "epoch": 0.4295, + "grad_norm": 25.5, + "grad_norm_var": 2.5208333333333335, + "learning_rate": 6.100933583736508e-05, + "loss": 6.7154, + "loss/crossentropy": 1.7062936425209045, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.1431462336331606, + "step": 2577 + }, + { + "epoch": 0.42966666666666664, + "grad_norm": 26.0, + "grad_norm_var": 2.4009765625, + "learning_rate": 6.098379690538325e-05, + "loss": 6.9459, + "loss/crossentropy": 1.9295603930950165, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.21250435709953308, + "step": 2578 + }, + { + "epoch": 0.42983333333333335, + "grad_norm": 30.375, + "grad_norm_var": 3.820572916666667, + "learning_rate": 6.095825496213119e-05, + "loss": 6.7427, + "loss/crossentropy": 1.732913076877594, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.19619249925017357, + "step": 2579 + }, + { + "epoch": 0.43, + "grad_norm": 24.75, + "grad_norm_var": 3.1738932291666666, + "learning_rate": 6.0932710014611394e-05, + "loss": 6.6251, + "loss/crossentropy": 2.3102883994579315, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15667594596743584, + "step": 2580 + }, + { + "epoch": 0.43016666666666664, + "grad_norm": 25.375, + "grad_norm_var": 3.1650390625, + "learning_rate": 6.090716206982714e-05, + "loss": 6.6287, + "loss/crossentropy": 1.8648121356964111, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17597980052232742, + "step": 2581 + }, + { + "epoch": 0.43033333333333335, + "grad_norm": 25.125, + "grad_norm_var": 3.1705729166666665, + "learning_rate": 6.0881611134782546e-05, + "loss": 6.8156, + "loss/crossentropy": 1.9064147770404816, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.19613366946578026, + "step": 2582 + }, + { + "epoch": 0.4305, + "grad_norm": 25.125, + "grad_norm_var": 3.1348307291666666, + "learning_rate": 6.085605721648252e-05, + "loss": 6.7998, + "loss/crossentropy": 1.810904324054718, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16272646561264992, + "step": 2583 + }, + { + "epoch": 0.43066666666666664, + "grad_norm": 24.25, + "grad_norm_var": 3.0916015625, + "learning_rate": 6.083050032193286e-05, + "loss": 6.5419, + "loss/crossentropy": 1.8009610176086426, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.17630230635404587, + "step": 2584 + }, + { + "epoch": 0.43083333333333335, + "grad_norm": 24.125, + "grad_norm_var": 3.17265625, + "learning_rate": 6.080494045814011e-05, + "loss": 6.6906, + "loss/crossentropy": 2.2329466938972473, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.20579104870557785, + "step": 2585 + }, + { + "epoch": 0.431, + "grad_norm": 24.25, + "grad_norm_var": 3.049934895833333, + "learning_rate": 6.077937763211166e-05, + "loss": 6.6783, + "loss/crossentropy": 1.5316911935806274, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.14100699499249458, + "step": 2586 + }, + { + "epoch": 0.43116666666666664, + "grad_norm": 26.0, + "grad_norm_var": 3.0458333333333334, + "learning_rate": 6.075381185085568e-05, + "loss": 6.9065, + "loss/crossentropy": 2.5172664523124695, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.17461195215582848, + "step": 2587 + }, + { + "epoch": 0.43133333333333335, + "grad_norm": 24.625, + "grad_norm_var": 3.070572916666667, + "learning_rate": 6.072824312138119e-05, + "loss": 6.6787, + "loss/crossentropy": 1.504485011100769, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16494281217455864, + "step": 2588 + }, + { + "epoch": 0.4315, + "grad_norm": 23.75, + "grad_norm_var": 2.7684895833333334, + "learning_rate": 6.0702671450698e-05, + "loss": 6.8727, + "loss/crossentropy": 2.0833495557308197, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.149654820561409, + "step": 2589 + }, + { + "epoch": 0.43166666666666664, + "grad_norm": 23.625, + "grad_norm_var": 2.978125, + "learning_rate": 6.067709684581675e-05, + "loss": 7.0652, + "loss/crossentropy": 2.3331529200077057, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.1770913414657116, + "step": 2590 + }, + { + "epoch": 0.43183333333333335, + "grad_norm": 24.5, + "grad_norm_var": 2.6072265625, + "learning_rate": 6.0651519313748836e-05, + "loss": 6.6851, + "loss/crossentropy": 1.7132629454135895, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.18725035712122917, + "step": 2591 + }, + { + "epoch": 0.432, + "grad_norm": 24.125, + "grad_norm_var": 2.515625, + "learning_rate": 6.062593886150649e-05, + "loss": 6.9156, + "loss/crossentropy": 1.8175028562545776, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14076261594891548, + "step": 2592 + }, + { + "epoch": 0.43216666666666664, + "grad_norm": 23.125, + "grad_norm_var": 2.739518229166667, + "learning_rate": 6.0600355496102745e-05, + "loss": 6.6341, + "loss/crossentropy": 1.6425984799861908, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15014991723001003, + "step": 2593 + }, + { + "epoch": 0.43233333333333335, + "grad_norm": 27.875, + "grad_norm_var": 3.222916666666667, + "learning_rate": 6.0574769224551406e-05, + "loss": 6.7647, + "loss/crossentropy": 2.1306992769241333, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.18023015186190605, + "step": 2594 + }, + { + "epoch": 0.4325, + "grad_norm": 24.5, + "grad_norm_var": 1.2186848958333334, + "learning_rate": 6.054918005386712e-05, + "loss": 7.1161, + "loss/crossentropy": 1.9479831159114838, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16229217499494553, + "step": 2595 + }, + { + "epoch": 0.43266666666666664, + "grad_norm": 24.75, + "grad_norm_var": 1.2186848958333334, + "learning_rate": 6.052358799106528e-05, + "loss": 6.6123, + "loss/crossentropy": 2.2589311003684998, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17400234937667847, + "step": 2596 + }, + { + "epoch": 0.43283333333333335, + "grad_norm": 25.125, + "grad_norm_var": 1.1999348958333333, + "learning_rate": 6.049799304316214e-05, + "loss": 6.7088, + "loss/crossentropy": 1.5218027532100677, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.14968295209109783, + "step": 2597 + }, + { + "epoch": 0.433, + "grad_norm": 26.125, + "grad_norm_var": 1.3218098958333333, + "learning_rate": 6.0472395217174627e-05, + "loss": 6.9272, + "loss/crossentropy": 1.6852833330631256, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1655399352312088, + "step": 2598 + }, + { + "epoch": 0.43316666666666664, + "grad_norm": 26.0, + "grad_norm_var": 1.4143229166666667, + "learning_rate": 6.0446794520120584e-05, + "loss": 7.1832, + "loss/crossentropy": 2.540505141019821, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.18230923265218735, + "step": 2599 + }, + { + "epoch": 0.43333333333333335, + "grad_norm": 26.75, + "grad_norm_var": 1.62265625, + "learning_rate": 6.042119095901859e-05, + "loss": 6.9438, + "loss/crossentropy": 1.7352722585201263, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14257824048399925, + "step": 2600 + }, + { + "epoch": 0.4335, + "grad_norm": 23.75, + "grad_norm_var": 1.6728515625, + "learning_rate": 6.0395584540887963e-05, + "loss": 6.7071, + "loss/crossentropy": 2.215030550956726, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.1525715608149767, + "step": 2601 + }, + { + "epoch": 0.43366666666666664, + "grad_norm": 24.5, + "grad_norm_var": 1.6541015625, + "learning_rate": 6.03699752727489e-05, + "loss": 6.6516, + "loss/crossentropy": 1.7519957423210144, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.14100144430994987, + "step": 2602 + }, + { + "epoch": 0.43383333333333335, + "grad_norm": 24.625, + "grad_norm_var": 1.57890625, + "learning_rate": 6.03443631616223e-05, + "loss": 6.6386, + "loss/crossentropy": 2.26133531332016, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15072302520275116, + "step": 2603 + }, + { + "epoch": 0.434, + "grad_norm": 25.5, + "grad_norm_var": 1.5994140625, + "learning_rate": 6.031874821452985e-05, + "loss": 6.7803, + "loss/crossentropy": 1.8069404065608978, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.14224245212972164, + "step": 2604 + }, + { + "epoch": 0.43416666666666665, + "grad_norm": 25.5, + "grad_norm_var": 1.5192057291666667, + "learning_rate": 6.029313043849407e-05, + "loss": 6.7606, + "loss/crossentropy": 1.6073375046253204, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1969406958669424, + "step": 2605 + }, + { + "epoch": 0.43433333333333335, + "grad_norm": 25.0, + "grad_norm_var": 1.3809895833333334, + "learning_rate": 6.026750984053821e-05, + "loss": 6.6732, + "loss/crossentropy": 1.2043716311454773, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.13031745702028275, + "step": 2606 + }, + { + "epoch": 0.4345, + "grad_norm": 27.5, + "grad_norm_var": 1.6997395833333333, + "learning_rate": 6.024188642768628e-05, + "loss": 7.1539, + "loss/crossentropy": 1.9929860830307007, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17507799714803696, + "step": 2607 + }, + { + "epoch": 0.43466666666666665, + "grad_norm": 25.375, + "grad_norm_var": 1.6020833333333333, + "learning_rate": 6.021626020696311e-05, + "loss": 6.8256, + "loss/crossentropy": 1.8485992848873138, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.16210262849926949, + "step": 2608 + }, + { + "epoch": 0.43483333333333335, + "grad_norm": 26.625, + "grad_norm_var": 1.3177083333333333, + "learning_rate": 6.019063118539425e-05, + "loss": 6.6713, + "loss/crossentropy": 1.3535323739051819, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.15221215412020683, + "step": 2609 + }, + { + "epoch": 0.435, + "grad_norm": 26.375, + "grad_norm_var": 1.0020833333333334, + "learning_rate": 6.016499937000605e-05, + "loss": 6.8275, + "loss/crossentropy": 2.31057870388031, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.17900454625487328, + "step": 2610 + }, + { + "epoch": 0.43516666666666665, + "grad_norm": 24.0, + "grad_norm_var": 1.084375, + "learning_rate": 6.0139364767825626e-05, + "loss": 6.6271, + "loss/crossentropy": 1.3447326868772507, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.13897036761045456, + "step": 2611 + }, + { + "epoch": 0.43533333333333335, + "grad_norm": 25.25, + "grad_norm_var": 1.0520833333333333, + "learning_rate": 6.0113727385880856e-05, + "loss": 6.9259, + "loss/crossentropy": 1.4346093833446503, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.15950534492731094, + "step": 2612 + }, + { + "epoch": 0.4355, + "grad_norm": 25.625, + "grad_norm_var": 1.0427083333333333, + "learning_rate": 6.008808723120035e-05, + "loss": 6.7362, + "loss/crossentropy": 2.278448760509491, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.13790053129196167, + "step": 2613 + }, + { + "epoch": 0.43566666666666665, + "grad_norm": 29.625, + "grad_norm_var": 2.0854166666666667, + "learning_rate": 6.0062444310813525e-05, + "loss": 6.816, + "loss/crossentropy": 1.2058254182338715, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.14962968975305557, + "step": 2614 + }, + { + "epoch": 0.43583333333333335, + "grad_norm": 28.0, + "grad_norm_var": 2.402083333333333, + "learning_rate": 6.003679863175053e-05, + "loss": 6.6435, + "loss/crossentropy": 1.347290426492691, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.14363227784633636, + "step": 2615 + }, + { + "epoch": 0.436, + "grad_norm": 26.125, + "grad_norm_var": 2.3535807291666666, + "learning_rate": 6.0011150201042236e-05, + "loss": 7.0016, + "loss/crossentropy": 1.9706576764583588, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.15187210962176323, + "step": 2616 + }, + { + "epoch": 0.43616666666666665, + "grad_norm": 25.375, + "grad_norm_var": 2.066666666666667, + "learning_rate": 5.9985499025720346e-05, + "loss": 6.7308, + "loss/crossentropy": 1.8767609000205994, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.15702969953417778, + "step": 2617 + }, + { + "epoch": 0.43633333333333335, + "grad_norm": 24.5, + "grad_norm_var": 2.066666666666667, + "learning_rate": 5.995984511281728e-05, + "loss": 6.5514, + "loss/crossentropy": 2.246765375137329, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.16171685606241226, + "step": 2618 + }, + { + "epoch": 0.4365, + "grad_norm": 24.75, + "grad_norm_var": 2.045768229166667, + "learning_rate": 5.9934188469366184e-05, + "loss": 6.8465, + "loss/crossentropy": 2.2557680904865265, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.1662013977766037, + "step": 2619 + }, + { + "epoch": 0.43666666666666665, + "grad_norm": 24.375, + "grad_norm_var": 2.191666666666667, + "learning_rate": 5.990852910240098e-05, + "loss": 6.7214, + "loss/crossentropy": 1.7024791240692139, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.15342937037348747, + "step": 2620 + }, + { + "epoch": 0.43683333333333335, + "grad_norm": 25.75, + "grad_norm_var": 2.1830729166666667, + "learning_rate": 5.988286701895631e-05, + "loss": 6.8396, + "loss/crossentropy": 1.7473149001598358, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.12153110839426517, + "step": 2621 + }, + { + "epoch": 0.437, + "grad_norm": 25.75, + "grad_norm_var": 2.129166666666667, + "learning_rate": 5.98572022260676e-05, + "loss": 6.6293, + "loss/crossentropy": 2.0189826488494873, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.22067496180534363, + "step": 2622 + }, + { + "epoch": 0.43716666666666665, + "grad_norm": 25.25, + "grad_norm_var": 1.9768229166666667, + "learning_rate": 5.9831534730771e-05, + "loss": 6.5935, + "loss/crossentropy": 2.142755776643753, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.17241764068603516, + "step": 2623 + }, + { + "epoch": 0.43733333333333335, + "grad_norm": 23.625, + "grad_norm_var": 2.2666666666666666, + "learning_rate": 5.980586454010341e-05, + "loss": 6.683, + "loss/crossentropy": 1.8552887737751007, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.14482687041163445, + "step": 2624 + }, + { + "epoch": 0.4375, + "grad_norm": 26.0, + "grad_norm_var": 2.2129557291666666, + "learning_rate": 5.9780191661102415e-05, + "loss": 6.8455, + "loss/crossentropy": 2.239479660987854, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1704038567841053, + "step": 2625 + }, + { + "epoch": 0.43766666666666665, + "grad_norm": 25.0, + "grad_norm_var": 2.1979166666666665, + "learning_rate": 5.9754516100806423e-05, + "loss": 6.7929, + "loss/crossentropy": 1.3637683391571045, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.16210685670375824, + "step": 2626 + }, + { + "epoch": 0.43783333333333335, + "grad_norm": 27.125, + "grad_norm_var": 2.1572265625, + "learning_rate": 5.9728837866254514e-05, + "loss": 6.5914, + "loss/crossentropy": 1.8409048318862915, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.18557438999414444, + "step": 2627 + }, + { + "epoch": 0.438, + "grad_norm": 27.0, + "grad_norm_var": 2.2301432291666665, + "learning_rate": 5.9703156964486514e-05, + "loss": 7.0069, + "loss/crossentropy": 1.8076459467411041, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.188536886125803, + "step": 2628 + }, + { + "epoch": 0.43816666666666665, + "grad_norm": 24.5, + "grad_norm_var": 2.345572916666667, + "learning_rate": 5.967747340254303e-05, + "loss": 6.6839, + "loss/crossentropy": 2.0108007192611694, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.14702509716153145, + "step": 2629 + }, + { + "epoch": 0.43833333333333335, + "grad_norm": 26.75, + "grad_norm_var": 1.3947265625, + "learning_rate": 5.96517871874653e-05, + "loss": 6.8198, + "loss/crossentropy": 2.245896637439728, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.17813589796423912, + "step": 2630 + }, + { + "epoch": 0.4385, + "grad_norm": 23.75, + "grad_norm_var": 1.1733723958333333, + "learning_rate": 5.9626098326295376e-05, + "loss": 6.7448, + "loss/crossentropy": 1.2997595816850662, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.14582790806889534, + "step": 2631 + }, + { + "epoch": 0.43866666666666665, + "grad_norm": 25.25, + "grad_norm_var": 1.1309895833333334, + "learning_rate": 5.9600406826076006e-05, + "loss": 6.7184, + "loss/crossentropy": 1.842684805393219, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.15692150965332985, + "step": 2632 + }, + { + "epoch": 0.43883333333333335, + "grad_norm": 24.5, + "grad_norm_var": 1.1697265625, + "learning_rate": 5.9574712693850654e-05, + "loss": 6.7779, + "loss/crossentropy": 2.4480732679367065, + "loss/hidden": 2.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.15053682401776314, + "step": 2633 + }, + { + "epoch": 0.439, + "grad_norm": 23.75, + "grad_norm_var": 1.2791015625, + "learning_rate": 5.9549015936663524e-05, + "loss": 6.8833, + "loss/crossentropy": 2.180367112159729, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.26287170499563217, + "step": 2634 + }, + { + "epoch": 0.43916666666666665, + "grad_norm": 25.0, + "grad_norm_var": 1.2681640625, + "learning_rate": 5.9523316561559503e-05, + "loss": 6.5321, + "loss/crossentropy": 1.5099531710147858, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1485142931342125, + "step": 2635 + }, + { + "epoch": 0.43933333333333335, + "grad_norm": 23.875, + "grad_norm_var": 1.3395182291666667, + "learning_rate": 5.949761457558424e-05, + "loss": 6.674, + "loss/crossentropy": 2.110276222229004, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.16217366605997086, + "step": 2636 + }, + { + "epoch": 0.4395, + "grad_norm": 26.5, + "grad_norm_var": 1.4317057291666666, + "learning_rate": 5.9471909985784066e-05, + "loss": 6.7479, + "loss/crossentropy": 1.8739090263843536, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.13883277401328087, + "step": 2637 + }, + { + "epoch": 0.43966666666666665, + "grad_norm": 26.25, + "grad_norm_var": 1.4822265625, + "learning_rate": 5.9446202799206064e-05, + "loss": 6.6554, + "loss/crossentropy": 1.6433472633361816, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17928237095475197, + "step": 2638 + }, + { + "epoch": 0.43983333333333335, + "grad_norm": 25.5, + "grad_norm_var": 1.4858723958333333, + "learning_rate": 5.942049302289798e-05, + "loss": 6.9075, + "loss/crossentropy": 1.527497038245201, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1645401045680046, + "step": 2639 + }, + { + "epoch": 0.44, + "grad_norm": 26.0, + "grad_norm_var": 1.31640625, + "learning_rate": 5.9394780663908315e-05, + "loss": 6.6518, + "loss/crossentropy": 1.7633036673069, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14698443934321404, + "step": 2640 + }, + { + "epoch": 0.44016666666666665, + "grad_norm": 25.75, + "grad_norm_var": 1.3010416666666667, + "learning_rate": 5.9369065729286245e-05, + "loss": 6.9603, + "loss/crossentropy": 1.9524569809436798, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.16564098745584488, + "step": 2641 + }, + { + "epoch": 0.44033333333333335, + "grad_norm": 24.125, + "grad_norm_var": 1.3962890625, + "learning_rate": 5.934334822608166e-05, + "loss": 6.7759, + "loss/crossentropy": 2.2828675508499146, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.17389429360628128, + "step": 2642 + }, + { + "epoch": 0.4405, + "grad_norm": 24.5, + "grad_norm_var": 1.20625, + "learning_rate": 5.931762816134516e-05, + "loss": 6.5651, + "loss/crossentropy": 1.9009066820144653, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.18192028999328613, + "step": 2643 + }, + { + "epoch": 0.44066666666666665, + "grad_norm": 24.5, + "grad_norm_var": 0.9927083333333333, + "learning_rate": 5.929190554212807e-05, + "loss": 6.467, + "loss/crossentropy": 1.7377802431583405, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.1316256895661354, + "step": 2644 + }, + { + "epoch": 0.44083333333333335, + "grad_norm": 24.5, + "grad_norm_var": 0.9927083333333333, + "learning_rate": 5.926618037548237e-05, + "loss": 6.9378, + "loss/crossentropy": 1.5786565244197845, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.14571312814950943, + "step": 2645 + }, + { + "epoch": 0.441, + "grad_norm": 27.5, + "grad_norm_var": 1.1997395833333333, + "learning_rate": 5.9240452668460775e-05, + "loss": 6.5564, + "loss/crossentropy": 1.8669317364692688, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.14575873874127865, + "step": 2646 + }, + { + "epoch": 0.44116666666666665, + "grad_norm": 24.875, + "grad_norm_var": 1.0796223958333333, + "learning_rate": 5.921472242811668e-05, + "loss": 6.5047, + "loss/crossentropy": 2.1776347756385803, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.15605000406503677, + "step": 2647 + }, + { + "epoch": 0.44133333333333336, + "grad_norm": 24.125, + "grad_norm_var": 1.1434895833333334, + "learning_rate": 5.9188989661504145e-05, + "loss": 6.599, + "loss/crossentropy": 2.2396602034568787, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.15260875783860683, + "step": 2648 + }, + { + "epoch": 0.4415, + "grad_norm": 24.75, + "grad_norm_var": 1.128125, + "learning_rate": 5.916325437567799e-05, + "loss": 6.6744, + "loss/crossentropy": 1.6741362512111664, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.13730739057064056, + "step": 2649 + }, + { + "epoch": 0.44166666666666665, + "grad_norm": 3523215360.0, + "grad_norm_var": 7.758153934679572e+17, + "learning_rate": 5.913751657769367e-05, + "loss": 8.1558, + "loss/crossentropy": 1.3899587839841843, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.14523622393608093, + "step": 2650 + }, + { + "epoch": 0.44183333333333336, + "grad_norm": 69.0, + "grad_norm_var": 7.758153921761117e+17, + "learning_rate": 5.911177627460739e-05, + "loss": 7.2254, + "loss/crossentropy": 1.7618387043476105, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.15137948840856552, + "step": 2651 + }, + { + "epoch": 0.442, + "grad_norm": 27.5, + "grad_norm_var": 7.758153920696813e+17, + "learning_rate": 5.9086033473475934e-05, + "loss": 6.7339, + "loss/crossentropy": 1.3338359147310257, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1530399564653635, + "step": 2652 + }, + { + "epoch": 0.44216666666666665, + "grad_norm": 26.625, + "grad_norm_var": 7.758153920660113e+17, + "learning_rate": 5.906028818135687e-05, + "loss": 6.8972, + "loss/crossentropy": 1.7537149488925934, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17232156544923782, + "step": 2653 + }, + { + "epoch": 0.44233333333333336, + "grad_norm": 26.75, + "grad_norm_var": 7.758153920513312e+17, + "learning_rate": 5.9034540405308424e-05, + "loss": 6.7514, + "loss/crossentropy": 2.1898419857025146, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1906014271080494, + "step": 2654 + }, + { + "epoch": 0.4425, + "grad_norm": 25.625, + "grad_norm_var": 7.758153920476612e+17, + "learning_rate": 5.900879015238948e-05, + "loss": 6.9407, + "loss/crossentropy": 1.57504141330719, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.184862919151783, + "step": 2655 + }, + { + "epoch": 0.44266666666666665, + "grad_norm": 24.75, + "grad_norm_var": 7.758153920843613e+17, + "learning_rate": 5.898303742965964e-05, + "loss": 6.7072, + "loss/crossentropy": 1.8227975964546204, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.14701522327959538, + "step": 2656 + }, + { + "epoch": 0.44283333333333336, + "grad_norm": 26.625, + "grad_norm_var": 7.758153920586712e+17, + "learning_rate": 5.8957282244179124e-05, + "loss": 6.5821, + "loss/crossentropy": 1.6989919543266296, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.1509997732937336, + "step": 2657 + }, + { + "epoch": 0.443, + "grad_norm": 26.0, + "grad_norm_var": 7.75815392003621e+17, + "learning_rate": 5.893152460300888e-05, + "loss": 6.8602, + "loss/crossentropy": 2.1089440286159515, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16877873986959457, + "step": 2658 + }, + { + "epoch": 0.44316666666666665, + "grad_norm": 23.625, + "grad_norm_var": 7.758153920293111e+17, + "learning_rate": 5.89057645132105e-05, + "loss": 6.7196, + "loss/crossentropy": 1.8638817518949509, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1327413059771061, + "step": 2659 + }, + { + "epoch": 0.44333333333333336, + "grad_norm": 25.75, + "grad_norm_var": 7.75815391992611e+17, + "learning_rate": 5.8880001981846286e-05, + "loss": 6.7552, + "loss/crossentropy": 1.9263705909252167, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.14581995457410812, + "step": 2660 + }, + { + "epoch": 0.4435, + "grad_norm": 24.25, + "grad_norm_var": 7.75815391999951e+17, + "learning_rate": 5.885423701597917e-05, + "loss": 6.6268, + "loss/crossentropy": 1.1766635328531265, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.21637601032853127, + "step": 2661 + }, + { + "epoch": 0.44366666666666665, + "grad_norm": 26.5, + "grad_norm_var": 7.758153920293111e+17, + "learning_rate": 5.8828469622672754e-05, + "loss": 6.7638, + "loss/crossentropy": 1.825743556022644, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.23360654339194298, + "step": 2662 + }, + { + "epoch": 0.44383333333333336, + "grad_norm": 23.5, + "grad_norm_var": 7.758153920696813e+17, + "learning_rate": 5.880269980899131e-05, + "loss": 6.701, + "loss/crossentropy": 1.729934960603714, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.17292849346995354, + "step": 2663 + }, + { + "epoch": 0.444, + "grad_norm": 25.25, + "grad_norm_var": 7.758153920366511e+17, + "learning_rate": 5.87769275819998e-05, + "loss": 6.6296, + "loss/crossentropy": 1.80669704079628, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.14898208156228065, + "step": 2664 + }, + { + "epoch": 0.44416666666666665, + "grad_norm": 24.75, + "grad_norm_var": 7.758153920366511e+17, + "learning_rate": 5.875115294876381e-05, + "loss": 6.8541, + "loss/crossentropy": 2.109087496995926, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16375673562288284, + "step": 2665 + }, + { + "epoch": 0.44433333333333336, + "grad_norm": 24.75, + "grad_norm_var": 119.70598958333333, + "learning_rate": 5.87253759163496e-05, + "loss": 6.6864, + "loss/crossentropy": 2.2005509734153748, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.15651655569672585, + "step": 2666 + }, + { + "epoch": 0.4445, + "grad_norm": 25.25, + "grad_norm_var": 1.353125, + "learning_rate": 5.86995964918241e-05, + "loss": 6.799, + "loss/crossentropy": 1.7569938004016876, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.15197496488690376, + "step": 2667 + }, + { + "epoch": 0.44466666666666665, + "grad_norm": 27.125, + "grad_norm_var": 1.2603515625, + "learning_rate": 5.867381468225489e-05, + "loss": 6.9713, + "loss/crossentropy": 2.120492786169052, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.17613200470805168, + "step": 2668 + }, + { + "epoch": 0.44483333333333336, + "grad_norm": 27.0, + "grad_norm_var": 1.328125, + "learning_rate": 5.8648030494710196e-05, + "loss": 6.9118, + "loss/crossentropy": 1.6273157745599747, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.16924516297876835, + "step": 2669 + }, + { + "epoch": 0.445, + "grad_norm": 25.125, + "grad_norm_var": 1.2155598958333333, + "learning_rate": 5.862224393625887e-05, + "loss": 6.514, + "loss/crossentropy": 2.2957085371017456, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.14254338294267654, + "step": 2670 + }, + { + "epoch": 0.44516666666666665, + "grad_norm": 25.75, + "grad_norm_var": 1.2208333333333334, + "learning_rate": 5.859645501397048e-05, + "loss": 6.5742, + "loss/crossentropy": 1.707688421010971, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16016575321555138, + "step": 2671 + }, + { + "epoch": 0.44533333333333336, + "grad_norm": 23.75, + "grad_norm_var": 1.3666666666666667, + "learning_rate": 5.85706637349152e-05, + "loss": 6.6885, + "loss/crossentropy": 2.5474379658699036, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.1631632149219513, + "step": 2672 + }, + { + "epoch": 0.4455, + "grad_norm": 29.5, + "grad_norm_var": 2.3863932291666665, + "learning_rate": 5.8544870106163844e-05, + "loss": 6.6988, + "loss/crossentropy": 1.7657908201217651, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.15607956051826477, + "step": 2673 + }, + { + "epoch": 0.44566666666666666, + "grad_norm": 25.875, + "grad_norm_var": 2.37890625, + "learning_rate": 5.8519074134787874e-05, + "loss": 6.9977, + "loss/crossentropy": 2.0581896901130676, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.21587787568569183, + "step": 2674 + }, + { + "epoch": 0.44583333333333336, + "grad_norm": 27.25, + "grad_norm_var": 2.301497395833333, + "learning_rate": 5.849327582785943e-05, + "loss": 6.5955, + "loss/crossentropy": 1.5980494618415833, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1687903143465519, + "step": 2675 + }, + { + "epoch": 0.446, + "grad_norm": 23.75, + "grad_norm_var": 2.5410807291666666, + "learning_rate": 5.8467475192451226e-05, + "loss": 7.0555, + "loss/crossentropy": 1.6369037926197052, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.1591554954648018, + "step": 2676 + }, + { + "epoch": 0.44616666666666666, + "grad_norm": 24.5, + "grad_norm_var": 2.5004557291666667, + "learning_rate": 5.844167223563669e-05, + "loss": 6.6734, + "loss/crossentropy": 1.7749090045690536, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1771242991089821, + "step": 2677 + }, + { + "epoch": 0.44633333333333336, + "grad_norm": 25.125, + "grad_norm_var": 2.45390625, + "learning_rate": 5.841586696448985e-05, + "loss": 6.5441, + "loss/crossentropy": 2.097283184528351, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.17308029532432556, + "step": 2678 + }, + { + "epoch": 0.4465, + "grad_norm": 25.25, + "grad_norm_var": 2.175, + "learning_rate": 5.8390059386085325e-05, + "loss": 6.8649, + "loss/crossentropy": 1.5590656399726868, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1356133446097374, + "step": 2679 + }, + { + "epoch": 0.44666666666666666, + "grad_norm": 97.5, + "grad_norm_var": 324.81640625, + "learning_rate": 5.8364249507498435e-05, + "loss": 6.4021, + "loss/crossentropy": 2.5060859322547913, + "loss/hidden": 2.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.1366341132670641, + "step": 2680 + }, + { + "epoch": 0.44683333333333336, + "grad_norm": 26.125, + "grad_norm_var": 323.9462890625, + "learning_rate": 5.833843733580512e-05, + "loss": 6.7452, + "loss/crossentropy": 2.0390127897262573, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15148643404245377, + "step": 2681 + }, + { + "epoch": 0.447, + "grad_norm": 27.25, + "grad_norm_var": 322.5113932291667, + "learning_rate": 5.8312622878081904e-05, + "loss": 6.497, + "loss/crossentropy": 1.8753588795661926, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.14602018147706985, + "step": 2682 + }, + { + "epoch": 0.44716666666666666, + "grad_norm": 24.5, + "grad_norm_var": 323.05983072916666, + "learning_rate": 5.828680614140599e-05, + "loss": 6.7278, + "loss/crossentropy": 1.8337635397911072, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1573883518576622, + "step": 2683 + }, + { + "epoch": 0.44733333333333336, + "grad_norm": 25.375, + "grad_norm_var": 324.0004557291667, + "learning_rate": 5.8260987132855174e-05, + "loss": 6.6552, + "loss/crossentropy": 1.31221242249012, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1488891839981079, + "step": 2684 + }, + { + "epoch": 0.4475, + "grad_norm": 25.5, + "grad_norm_var": 324.78639322916666, + "learning_rate": 5.8235165859507864e-05, + "loss": 6.5494, + "loss/crossentropy": 1.4714678227901459, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.1784840188920498, + "step": 2685 + }, + { + "epoch": 0.44766666666666666, + "grad_norm": 26.5, + "grad_norm_var": 323.98645833333336, + "learning_rate": 5.820934232844315e-05, + "loss": 6.7283, + "loss/crossentropy": 1.3604096472263336, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.22000106424093246, + "step": 2686 + }, + { + "epoch": 0.44783333333333336, + "grad_norm": 34.0, + "grad_norm_var": 323.3247395833333, + "learning_rate": 5.8183516546740665e-05, + "loss": 6.6089, + "loss/crossentropy": 1.8299996256828308, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.14139294251799583, + "step": 2687 + }, + { + "epoch": 0.448, + "grad_norm": 25.0, + "grad_norm_var": 322.2583333333333, + "learning_rate": 5.8157688521480714e-05, + "loss": 6.5523, + "loss/crossentropy": 2.0812973976135254, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.1425832025706768, + "step": 2688 + }, + { + "epoch": 0.44816666666666666, + "grad_norm": 25.875, + "grad_norm_var": 323.71399739583336, + "learning_rate": 5.813185825974419e-05, + "loss": 6.6075, + "loss/crossentropy": 1.680366888642311, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1440460905432701, + "step": 2689 + }, + { + "epoch": 0.4483333333333333, + "grad_norm": 24.375, + "grad_norm_var": 324.79680989583335, + "learning_rate": 5.8106025768612595e-05, + "loss": 6.7138, + "loss/crossentropy": 2.166181117296219, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.17512308806180954, + "step": 2690 + }, + { + "epoch": 0.4485, + "grad_norm": 24.5, + "grad_norm_var": 326.45826822916666, + "learning_rate": 5.8080191055168064e-05, + "loss": 6.4009, + "loss/crossentropy": 1.609542265534401, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.12901527993381023, + "step": 2691 + }, + { + "epoch": 0.44866666666666666, + "grad_norm": 25.0, + "grad_norm_var": 325.46087239583335, + "learning_rate": 5.8054354126493324e-05, + "loss": 6.5503, + "loss/crossentropy": 1.3179373443126678, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1372094638645649, + "step": 2692 + }, + { + "epoch": 0.4488333333333333, + "grad_norm": 26.25, + "grad_norm_var": 324.2759765625, + "learning_rate": 5.8028514989671724e-05, + "loss": 6.5185, + "loss/crossentropy": 1.8011727929115295, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.16516036540269852, + "step": 2693 + }, + { + "epoch": 0.449, + "grad_norm": 25.625, + "grad_norm_var": 323.93274739583336, + "learning_rate": 5.800267365178721e-05, + "loss": 7.1285, + "loss/crossentropy": 2.1927503049373627, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1717391274869442, + "step": 2694 + }, + { + "epoch": 0.44916666666666666, + "grad_norm": 25.875, + "grad_norm_var": 323.51640625, + "learning_rate": 5.797683011992432e-05, + "loss": 6.8762, + "loss/crossentropy": 2.4028943181037903, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.15716347843408585, + "step": 2695 + }, + { + "epoch": 0.4493333333333333, + "grad_norm": 24.375, + "grad_norm_var": 5.2322265625, + "learning_rate": 5.795098440116822e-05, + "loss": 6.4511, + "loss/crossentropy": 1.487285628914833, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.14723572880029678, + "step": 2696 + }, + { + "epoch": 0.4495, + "grad_norm": 24.5, + "grad_norm_var": 5.371875, + "learning_rate": 5.792513650260465e-05, + "loss": 6.5631, + "loss/crossentropy": 1.9083237946033478, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.15971297025680542, + "step": 2697 + }, + { + "epoch": 0.44966666666666666, + "grad_norm": 25.25, + "grad_norm_var": 5.263541666666667, + "learning_rate": 5.789928643131994e-05, + "loss": 6.8372, + "loss/crossentropy": 2.0677020847797394, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.19739145785570145, + "step": 2698 + }, + { + "epoch": 0.4498333333333333, + "grad_norm": 24.125, + "grad_norm_var": 5.336393229166666, + "learning_rate": 5.7873434194401075e-05, + "loss": 6.9114, + "loss/crossentropy": 2.43659770488739, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.18833718448877335, + "step": 2699 + }, + { + "epoch": 0.45, + "grad_norm": 25.375, + "grad_norm_var": 5.336393229166666, + "learning_rate": 5.784757979893558e-05, + "loss": 6.5036, + "loss/crossentropy": 1.3536133021116257, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.14322751201689243, + "step": 2700 + }, + { + "epoch": 0.45016666666666666, + "grad_norm": 25.375, + "grad_norm_var": 5.341666666666667, + "learning_rate": 5.782172325201155e-05, + "loss": 6.977, + "loss/crossentropy": 2.2066193222999573, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.2367752008140087, + "step": 2701 + }, + { + "epoch": 0.4503333333333333, + "grad_norm": 26.5, + "grad_norm_var": 5.341666666666667, + "learning_rate": 5.779586456071774e-05, + "loss": 6.6591, + "loss/crossentropy": 1.9428619146347046, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.17801672220230103, + "step": 2702 + }, + { + "epoch": 0.4505, + "grad_norm": 24.625, + "grad_norm_var": 0.5223307291666667, + "learning_rate": 5.777000373214345e-05, + "loss": 6.6143, + "loss/crossentropy": 2.1876283288002014, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.13911644369363785, + "step": 2703 + }, + { + "epoch": 0.45066666666666666, + "grad_norm": 24.125, + "grad_norm_var": 0.5893229166666667, + "learning_rate": 5.774414077337855e-05, + "loss": 6.6949, + "loss/crossentropy": 1.5919778048992157, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.19395117089152336, + "step": 2704 + }, + { + "epoch": 0.4508333333333333, + "grad_norm": 27.0, + "grad_norm_var": 0.7832682291666667, + "learning_rate": 5.771827569151357e-05, + "loss": 6.8234, + "loss/crossentropy": 1.6808184087276459, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1675945334136486, + "step": 2705 + }, + { + "epoch": 0.451, + "grad_norm": 25.0, + "grad_norm_var": 0.740625, + "learning_rate": 5.769240849363952e-05, + "loss": 6.6899, + "loss/crossentropy": 2.0882725715637207, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16454077884554863, + "step": 2706 + }, + { + "epoch": 0.45116666666666666, + "grad_norm": 23.0, + "grad_norm_var": 1.025, + "learning_rate": 5.7666539186848036e-05, + "loss": 6.6121, + "loss/crossentropy": 1.921084314584732, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.1384814865887165, + "step": 2707 + }, + { + "epoch": 0.4513333333333333, + "grad_norm": 26.375, + "grad_norm_var": 1.1202473958333334, + "learning_rate": 5.764066777823137e-05, + "loss": 6.6008, + "loss/crossentropy": 1.5249285995960236, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.17921815067529678, + "step": 2708 + }, + { + "epoch": 0.4515, + "grad_norm": 25.875, + "grad_norm_var": 1.0770833333333334, + "learning_rate": 5.761479427488229e-05, + "loss": 7.0719, + "loss/crossentropy": 1.8070133030414581, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17783520743250847, + "step": 2709 + }, + { + "epoch": 0.45166666666666666, + "grad_norm": 24.375, + "grad_norm_var": 1.1018229166666667, + "learning_rate": 5.758891868389418e-05, + "loss": 6.8242, + "loss/crossentropy": 1.8686991184949875, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.19422447681427002, + "step": 2710 + }, + { + "epoch": 0.4518333333333333, + "grad_norm": 23.75, + "grad_norm_var": 1.1671223958333334, + "learning_rate": 5.756304101236097e-05, + "loss": 6.5591, + "loss/crossentropy": 1.7245844006538391, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.15066867880523205, + "step": 2711 + }, + { + "epoch": 0.452, + "grad_norm": 25.875, + "grad_norm_var": 1.1874348958333334, + "learning_rate": 5.753716126737717e-05, + "loss": 6.4695, + "loss/crossentropy": 2.2974774539470673, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.14285796880722046, + "step": 2712 + }, + { + "epoch": 0.45216666666666666, + "grad_norm": 25.625, + "grad_norm_var": 1.1809895833333333, + "learning_rate": 5.751127945603786e-05, + "loss": 6.761, + "loss/crossentropy": 1.7241070568561554, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15965644270181656, + "step": 2713 + }, + { + "epoch": 0.4523333333333333, + "grad_norm": 25.125, + "grad_norm_var": 1.1801432291666667, + "learning_rate": 5.748539558543868e-05, + "loss": 6.8129, + "loss/crossentropy": 2.0573455095291138, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.2731163166463375, + "step": 2714 + }, + { + "epoch": 0.4525, + "grad_norm": 25.875, + "grad_norm_var": 1.1363932291666667, + "learning_rate": 5.745950966267586e-05, + "loss": 7.0329, + "loss/crossentropy": 1.7416115701198578, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.16633586212992668, + "step": 2715 + }, + { + "epoch": 0.45266666666666666, + "grad_norm": 24.75, + "grad_norm_var": 1.1497395833333333, + "learning_rate": 5.743362169484616e-05, + "loss": 6.8534, + "loss/crossentropy": 1.9131691455841064, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.1586361974477768, + "step": 2716 + }, + { + "epoch": 0.4528333333333333, + "grad_norm": 24.875, + "grad_norm_var": 1.15390625, + "learning_rate": 5.7407731689046904e-05, + "loss": 6.8542, + "loss/crossentropy": 1.5941278040409088, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1773337982594967, + "step": 2717 + }, + { + "epoch": 0.453, + "grad_norm": 24.375, + "grad_norm_var": 1.0598307291666667, + "learning_rate": 5.7381839652376e-05, + "loss": 6.6331, + "loss/crossentropy": 1.6980219185352325, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.18571816384792328, + "step": 2718 + }, + { + "epoch": 0.45316666666666666, + "grad_norm": 25.5, + "grad_norm_var": 1.059375, + "learning_rate": 5.735594559193187e-05, + "loss": 6.9835, + "loss/crossentropy": 2.3434567749500275, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1699659414589405, + "step": 2719 + }, + { + "epoch": 0.4533333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.0442057291666667, + "learning_rate": 5.7330049514813556e-05, + "loss": 6.5763, + "loss/crossentropy": 2.1751396358013153, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15283627063035965, + "step": 2720 + }, + { + "epoch": 0.4535, + "grad_norm": 25.75, + "grad_norm_var": 0.8254557291666667, + "learning_rate": 5.730415142812059e-05, + "loss": 6.5509, + "loss/crossentropy": 1.488577514886856, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.18399160727858543, + "step": 2721 + }, + { + "epoch": 0.45366666666666666, + "grad_norm": 24.625, + "grad_norm_var": 0.8354166666666667, + "learning_rate": 5.7278251338953084e-05, + "loss": 6.3282, + "loss/crossentropy": 1.5111881643533707, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.13964644819498062, + "step": 2722 + }, + { + "epoch": 0.4538333333333333, + "grad_norm": 25.375, + "grad_norm_var": 0.5546223958333333, + "learning_rate": 5.725234925441169e-05, + "loss": 6.8469, + "loss/crossentropy": 2.2357749938964844, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.15489470213651657, + "step": 2723 + }, + { + "epoch": 0.454, + "grad_norm": 24.625, + "grad_norm_var": 0.4598307291666667, + "learning_rate": 5.7226445181597624e-05, + "loss": 6.8225, + "loss/crossentropy": 2.029833674430847, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18216142803430557, + "step": 2724 + }, + { + "epoch": 0.45416666666666666, + "grad_norm": 25.25, + "grad_norm_var": 0.41458333333333336, + "learning_rate": 5.7200539127612604e-05, + "loss": 6.6644, + "loss/crossentropy": 2.1642417311668396, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.15407593920826912, + "step": 2725 + }, + { + "epoch": 0.4543333333333333, + "grad_norm": 25.875, + "grad_norm_var": 0.43020833333333336, + "learning_rate": 5.717463109955896e-05, + "loss": 6.8215, + "loss/crossentropy": 2.06620854139328, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.16936439275741577, + "step": 2726 + }, + { + "epoch": 0.4545, + "grad_norm": 25.0, + "grad_norm_var": 0.30390625, + "learning_rate": 5.7148721104539513e-05, + "loss": 6.7624, + "loss/crossentropy": 1.9090695530176163, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.15690848976373672, + "step": 2727 + }, + { + "epoch": 0.45466666666666666, + "grad_norm": 24.875, + "grad_norm_var": 0.27265625, + "learning_rate": 5.712280914965764e-05, + "loss": 6.7883, + "loss/crossentropy": 2.1801306009292603, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.1533052697777748, + "step": 2728 + }, + { + "epoch": 0.4548333333333333, + "grad_norm": 39.25, + "grad_norm_var": 12.8119140625, + "learning_rate": 5.709689524201722e-05, + "loss": 7.1955, + "loss/crossentropy": 1.7678752392530441, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.1392767895013094, + "step": 2729 + }, + { + "epoch": 0.455, + "grad_norm": 24.25, + "grad_norm_var": 12.957291666666666, + "learning_rate": 5.707097938872273e-05, + "loss": 6.6138, + "loss/crossentropy": 1.748843640089035, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.14422916248440742, + "step": 2730 + }, + { + "epoch": 0.45516666666666666, + "grad_norm": 24.625, + "grad_norm_var": 13.06015625, + "learning_rate": 5.7045061596879134e-05, + "loss": 6.8481, + "loss/crossentropy": 2.491138517856598, + "loss/hidden": 2.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.14533711224794388, + "step": 2731 + }, + { + "epoch": 0.4553333333333333, + "grad_norm": 25.375, + "grad_norm_var": 12.9947265625, + "learning_rate": 5.701914187359194e-05, + "loss": 6.8526, + "loss/crossentropy": 1.8383136689662933, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.15853292495012283, + "step": 2732 + }, + { + "epoch": 0.4555, + "grad_norm": 27.0, + "grad_norm_var": 12.995833333333334, + "learning_rate": 5.699322022596722e-05, + "loss": 7.0276, + "loss/crossentropy": 2.4197244942188263, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1795358546078205, + "step": 2733 + }, + { + "epoch": 0.45566666666666666, + "grad_norm": 25.25, + "grad_norm_var": 12.8541015625, + "learning_rate": 5.696729666111148e-05, + "loss": 6.7895, + "loss/crossentropy": 2.2819800078868866, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.1583699695765972, + "step": 2734 + }, + { + "epoch": 0.4558333333333333, + "grad_norm": 24.375, + "grad_norm_var": 13.01640625, + "learning_rate": 5.6941371186131855e-05, + "loss": 6.6288, + "loss/crossentropy": 1.2194599360227585, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.15815516747534275, + "step": 2735 + }, + { + "epoch": 0.456, + "grad_norm": 24.5, + "grad_norm_var": 12.9625, + "learning_rate": 5.691544380813596e-05, + "loss": 6.7319, + "loss/crossentropy": 1.9967324435710907, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.12558593042194843, + "step": 2736 + }, + { + "epoch": 0.45616666666666666, + "grad_norm": 24.625, + "grad_norm_var": 13.0791015625, + "learning_rate": 5.68895145342319e-05, + "loss": 6.7088, + "loss/crossentropy": 1.8510467112064362, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.13624102249741554, + "step": 2737 + }, + { + "epoch": 0.4563333333333333, + "grad_norm": 25.375, + "grad_norm_var": 12.9837890625, + "learning_rate": 5.6863583371528386e-05, + "loss": 6.6711, + "loss/crossentropy": 1.6837426722049713, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.13855914026498795, + "step": 2738 + }, + { + "epoch": 0.4565, + "grad_norm": 25.875, + "grad_norm_var": 12.959309895833334, + "learning_rate": 5.683765032713455e-05, + "loss": 6.6743, + "loss/crossentropy": 1.8867965638637543, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.15259655937552452, + "step": 2739 + }, + { + "epoch": 0.45666666666666667, + "grad_norm": 24.75, + "grad_norm_var": 12.937239583333334, + "learning_rate": 5.681171540816008e-05, + "loss": 6.4689, + "loss/crossentropy": 1.9476238489151, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.14742793515324593, + "step": 2740 + }, + { + "epoch": 0.4568333333333333, + "grad_norm": 23.875, + "grad_norm_var": 13.195768229166667, + "learning_rate": 5.6785778621715225e-05, + "loss": 6.9662, + "loss/crossentropy": 1.924155205488205, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16286252439022064, + "step": 2741 + }, + { + "epoch": 0.457, + "grad_norm": 26.75, + "grad_norm_var": 13.237239583333333, + "learning_rate": 5.675983997491067e-05, + "loss": 6.9551, + "loss/crossentropy": 2.3400666415691376, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.1609465628862381, + "step": 2742 + }, + { + "epoch": 0.45716666666666667, + "grad_norm": 24.25, + "grad_norm_var": 13.370833333333334, + "learning_rate": 5.6733899474857634e-05, + "loss": 6.7017, + "loss/crossentropy": 2.3246355652809143, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.16281828470528126, + "step": 2743 + }, + { + "epoch": 0.4573333333333333, + "grad_norm": 24.625, + "grad_norm_var": 13.41015625, + "learning_rate": 5.670795712866788e-05, + "loss": 6.6083, + "loss/crossentropy": 2.519616186618805, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.1739281266927719, + "step": 2744 + }, + { + "epoch": 0.4575, + "grad_norm": 23.625, + "grad_norm_var": 0.9020182291666666, + "learning_rate": 5.668201294345363e-05, + "loss": 6.4691, + "loss/crossentropy": 1.8622784316539764, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.14932217821478844, + "step": 2745 + }, + { + "epoch": 0.45766666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.1155598958333333, + "learning_rate": 5.665606692632762e-05, + "loss": 6.6905, + "loss/crossentropy": 2.3258108496665955, + "loss/hidden": 2.93359375, + "loss/jsd": 0.0, + "loss/logits": 0.15091541782021523, + "step": 2746 + }, + { + "epoch": 0.4578333333333333, + "grad_norm": 24.375, + "grad_norm_var": 1.1275390625, + "learning_rate": 5.6630119084403124e-05, + "loss": 6.9595, + "loss/crossentropy": 1.9929401576519012, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.14475613459944725, + "step": 2747 + }, + { + "epoch": 0.458, + "grad_norm": 28.0, + "grad_norm_var": 1.74140625, + "learning_rate": 5.660416942479387e-05, + "loss": 6.887, + "loss/crossentropy": 1.7819598615169525, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1543808039277792, + "step": 2748 + }, + { + "epoch": 0.45816666666666667, + "grad_norm": 24.875, + "grad_norm_var": 1.4613932291666667, + "learning_rate": 5.6578217954614134e-05, + "loss": 6.56, + "loss/crossentropy": 2.08911195397377, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.17820630967617035, + "step": 2749 + }, + { + "epoch": 0.4583333333333333, + "grad_norm": 23.875, + "grad_norm_var": 1.5122395833333333, + "learning_rate": 5.6552264680978615e-05, + "loss": 6.4325, + "loss/crossentropy": 2.054005116224289, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15969645977020264, + "step": 2750 + }, + { + "epoch": 0.4585, + "grad_norm": 53.75, + "grad_norm_var": 53.79055989583333, + "learning_rate": 5.6526309611002594e-05, + "loss": 6.976, + "loss/crossentropy": 2.0043467581272125, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.16916417330503464, + "step": 2751 + }, + { + "epoch": 0.45866666666666667, + "grad_norm": 26.125, + "grad_norm_var": 53.493489583333336, + "learning_rate": 5.650035275180175e-05, + "loss": 6.6615, + "loss/crossentropy": 1.9041423499584198, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.18959420919418335, + "step": 2752 + }, + { + "epoch": 0.4588333333333333, + "grad_norm": 24.75, + "grad_norm_var": 53.459309895833336, + "learning_rate": 5.6474394110492344e-05, + "loss": 6.8346, + "loss/crossentropy": 1.3389652073383331, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.15050199814140797, + "step": 2753 + }, + { + "epoch": 0.459, + "grad_norm": 30.875, + "grad_norm_var": 54.347330729166664, + "learning_rate": 5.644843369419108e-05, + "loss": 6.7103, + "loss/crossentropy": 1.5136617422103882, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1568979062139988, + "step": 2754 + }, + { + "epoch": 0.45916666666666667, + "grad_norm": 23.625, + "grad_norm_var": 55.027018229166664, + "learning_rate": 5.642247151001515e-05, + "loss": 6.5193, + "loss/crossentropy": 1.7383318841457367, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.28178131952881813, + "step": 2755 + }, + { + "epoch": 0.4593333333333333, + "grad_norm": 25.25, + "grad_norm_var": 54.8962890625, + "learning_rate": 5.639650756508222e-05, + "loss": 6.8115, + "loss/crossentropy": 2.0923525542020798, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.13630645722150803, + "step": 2756 + }, + { + "epoch": 0.4595, + "grad_norm": 27.375, + "grad_norm_var": 54.214518229166664, + "learning_rate": 5.6370541866510474e-05, + "loss": 6.7181, + "loss/crossentropy": 2.038271516561508, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.19220471754670143, + "step": 2757 + }, + { + "epoch": 0.45966666666666667, + "grad_norm": 25.5, + "grad_norm_var": 54.386393229166664, + "learning_rate": 5.6344574421418513e-05, + "loss": 6.8119, + "loss/crossentropy": 1.821940153837204, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.20060718059539795, + "step": 2758 + }, + { + "epoch": 0.4598333333333333, + "grad_norm": 24.125, + "grad_norm_var": 54.43515625, + "learning_rate": 5.6318605236925524e-05, + "loss": 6.6604, + "loss/crossentropy": 1.959631770849228, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.14886339381337166, + "step": 2759 + }, + { + "epoch": 0.46, + "grad_norm": 25.375, + "grad_norm_var": 54.221875, + "learning_rate": 5.6292634320151075e-05, + "loss": 6.6618, + "loss/crossentropy": 2.046598255634308, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15620429068803787, + "step": 2760 + }, + { + "epoch": 0.46016666666666667, + "grad_norm": 27.125, + "grad_norm_var": 53.33958333333333, + "learning_rate": 5.6266661678215216e-05, + "loss": 6.8898, + "loss/crossentropy": 1.518594652414322, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.19239607080817223, + "step": 2761 + }, + { + "epoch": 0.4603333333333333, + "grad_norm": 25.375, + "grad_norm_var": 52.306705729166666, + "learning_rate": 5.624068731823853e-05, + "loss": 6.6722, + "loss/crossentropy": 1.879521131515503, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.17357486858963966, + "step": 2762 + }, + { + "epoch": 0.4605, + "grad_norm": 23.125, + "grad_norm_var": 52.9291015625, + "learning_rate": 5.621471124734201e-05, + "loss": 6.7668, + "loss/crossentropy": 1.2140470892190933, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.18009134382009506, + "step": 2763 + }, + { + "epoch": 0.46066666666666667, + "grad_norm": 25.125, + "grad_norm_var": 53.233072916666664, + "learning_rate": 5.618873347264716e-05, + "loss": 6.5533, + "loss/crossentropy": 1.7804137170314789, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.1192376259714365, + "step": 2764 + }, + { + "epoch": 0.4608333333333333, + "grad_norm": 24.25, + "grad_norm_var": 53.456705729166664, + "learning_rate": 5.616275400127594e-05, + "loss": 6.4826, + "loss/crossentropy": 1.7473395764827728, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16928238794207573, + "step": 2765 + }, + { + "epoch": 0.461, + "grad_norm": 24.625, + "grad_norm_var": 53.15670572916667, + "learning_rate": 5.613677284035075e-05, + "loss": 6.7988, + "loss/crossentropy": 2.3696363866329193, + "loss/hidden": 2.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.14848889410495758, + "step": 2766 + }, + { + "epoch": 0.46116666666666667, + "grad_norm": 25.625, + "grad_norm_var": 3.3080729166666667, + "learning_rate": 5.6110789996994474e-05, + "loss": 7.0105, + "loss/crossentropy": 1.7268491387367249, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.1992061510682106, + "step": 2767 + }, + { + "epoch": 0.4613333333333333, + "grad_norm": 25.375, + "grad_norm_var": 3.2822916666666666, + "learning_rate": 5.608480547833047e-05, + "loss": 6.5749, + "loss/crossentropy": 1.8661600649356842, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17584365233778954, + "step": 2768 + }, + { + "epoch": 0.4615, + "grad_norm": 26.875, + "grad_norm_var": 3.3608723958333333, + "learning_rate": 5.6058819291482534e-05, + "loss": 6.6743, + "loss/crossentropy": 1.8637704253196716, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.17944291234016418, + "step": 2769 + }, + { + "epoch": 0.46166666666666667, + "grad_norm": 24.5, + "grad_norm_var": 1.4184895833333333, + "learning_rate": 5.603283144357493e-05, + "loss": 6.5394, + "loss/crossentropy": 1.7135992348194122, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.18195565417408943, + "step": 2770 + }, + { + "epoch": 0.4618333333333333, + "grad_norm": 24.5, + "grad_norm_var": 1.2822265625, + "learning_rate": 5.6006841941732355e-05, + "loss": 6.5811, + "loss/crossentropy": 1.7824342995882034, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.1617208793759346, + "step": 2771 + }, + { + "epoch": 0.462, + "grad_norm": 24.75, + "grad_norm_var": 1.2983723958333333, + "learning_rate": 5.598085079308002e-05, + "loss": 6.9441, + "loss/crossentropy": 1.9815539419651031, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.20149686560034752, + "step": 2772 + }, + { + "epoch": 0.46216666666666667, + "grad_norm": 25.0, + "grad_norm_var": 0.9705729166666667, + "learning_rate": 5.595485800474349e-05, + "loss": 6.6099, + "loss/crossentropy": 1.7562359124422073, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.17117204889655113, + "step": 2773 + }, + { + "epoch": 0.4623333333333333, + "grad_norm": 25.375, + "grad_norm_var": 0.9645182291666666, + "learning_rate": 5.592886358384888e-05, + "loss": 6.7712, + "loss/crossentropy": 2.2192359268665314, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.16161717101931572, + "step": 2774 + }, + { + "epoch": 0.4625, + "grad_norm": 25.0, + "grad_norm_var": 0.9020833333333333, + "learning_rate": 5.590286753752268e-05, + "loss": 7.0129, + "loss/crossentropy": 1.5704839825630188, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.22979969903826714, + "step": 2775 + }, + { + "epoch": 0.46266666666666667, + "grad_norm": 23.875, + "grad_norm_var": 0.9927083333333333, + "learning_rate": 5.587686987289189e-05, + "loss": 6.6864, + "loss/crossentropy": 2.140491098165512, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15292765572667122, + "step": 2776 + }, + { + "epoch": 0.4628333333333333, + "grad_norm": 26.5, + "grad_norm_var": 0.8426432291666667, + "learning_rate": 5.585087059708388e-05, + "loss": 6.9639, + "loss/crossentropy": 1.746911644935608, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.15798745304346085, + "step": 2777 + }, + { + "epoch": 0.463, + "grad_norm": 25.0, + "grad_norm_var": 0.8322916666666667, + "learning_rate": 5.5824869717226513e-05, + "loss": 6.6221, + "loss/crossentropy": 2.047959625720978, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.14992857724428177, + "step": 2778 + }, + { + "epoch": 0.46316666666666667, + "grad_norm": 24.75, + "grad_norm_var": 0.5978515625, + "learning_rate": 5.579886724044807e-05, + "loss": 6.6686, + "loss/crossentropy": 1.9421203434467316, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.14596297219395638, + "step": 2779 + }, + { + "epoch": 0.4633333333333333, + "grad_norm": 26.875, + "grad_norm_var": 0.8020182291666667, + "learning_rate": 5.5772863173877285e-05, + "loss": 6.6736, + "loss/crossentropy": 1.9123979210853577, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.13693714141845703, + "step": 2780 + }, + { + "epoch": 0.4635, + "grad_norm": 25.0, + "grad_norm_var": 0.7442057291666667, + "learning_rate": 5.574685752464334e-05, + "loss": 6.7109, + "loss/crossentropy": 1.551992580294609, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14854319393634796, + "step": 2781 + }, + { + "epoch": 0.46366666666666667, + "grad_norm": 24.5, + "grad_norm_var": 0.7552083333333334, + "learning_rate": 5.572085029987579e-05, + "loss": 6.7037, + "loss/crossentropy": 2.0488213896751404, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17596356570720673, + "step": 2782 + }, + { + "epoch": 0.4638333333333333, + "grad_norm": 26.0, + "grad_norm_var": 0.7843098958333333, + "learning_rate": 5.56948415067047e-05, + "loss": 6.5775, + "loss/crossentropy": 1.8797851204872131, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1697833500802517, + "step": 2783 + }, + { + "epoch": 0.464, + "grad_norm": 22.875, + "grad_norm_var": 1.1306640625, + "learning_rate": 5.5668831152260504e-05, + "loss": 6.4129, + "loss/crossentropy": 1.5998453199863434, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.14401324465870857, + "step": 2784 + }, + { + "epoch": 0.46416666666666667, + "grad_norm": 25.5, + "grad_norm_var": 0.9208333333333333, + "learning_rate": 5.564281924367408e-05, + "loss": 6.4389, + "loss/crossentropy": 1.7022465765476227, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1552562266588211, + "step": 2785 + }, + { + "epoch": 0.4643333333333333, + "grad_norm": 23.75, + "grad_norm_var": 1.0059895833333334, + "learning_rate": 5.561680578807678e-05, + "loss": 6.7611, + "loss/crossentropy": 2.205841541290283, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.16127091273665428, + "step": 2786 + }, + { + "epoch": 0.4645, + "grad_norm": 25.5, + "grad_norm_var": 1.0080729166666667, + "learning_rate": 5.559079079260032e-05, + "loss": 6.7542, + "loss/crossentropy": 1.8905872106552124, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.19508739188313484, + "step": 2787 + }, + { + "epoch": 0.4646666666666667, + "grad_norm": 27.125, + "grad_norm_var": 1.2764973958333334, + "learning_rate": 5.556477426437684e-05, + "loss": 6.6822, + "loss/crossentropy": 1.6280039548873901, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1711890697479248, + "step": 2788 + }, + { + "epoch": 0.4648333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.3280598958333334, + "learning_rate": 5.5538756210538933e-05, + "loss": 6.9321, + "loss/crossentropy": 2.111537605524063, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.15978379920125008, + "step": 2789 + }, + { + "epoch": 0.465, + "grad_norm": 25.375, + "grad_norm_var": 1.3280598958333334, + "learning_rate": 5.5512736638219607e-05, + "loss": 6.8709, + "loss/crossentropy": 1.9742958843708038, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14497864991426468, + "step": 2790 + }, + { + "epoch": 0.4651666666666667, + "grad_norm": 29.5, + "grad_norm_var": 2.5233723958333334, + "learning_rate": 5.548671555455226e-05, + "loss": 6.8456, + "loss/crossentropy": 2.527287721633911, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.18699529021978378, + "step": 2791 + }, + { + "epoch": 0.4653333333333333, + "grad_norm": 24.375, + "grad_norm_var": 2.4374348958333334, + "learning_rate": 5.546069296667075e-05, + "loss": 6.6914, + "loss/crossentropy": 1.836965948343277, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.1361386850476265, + "step": 2792 + }, + { + "epoch": 0.4655, + "grad_norm": 24.0, + "grad_norm_var": 2.4712890625, + "learning_rate": 5.543466888170926e-05, + "loss": 6.7697, + "loss/crossentropy": 2.101795047521591, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.14898275956511497, + "step": 2793 + }, + { + "epoch": 0.4656666666666667, + "grad_norm": 23.625, + "grad_norm_var": 2.6395833333333334, + "learning_rate": 5.540864330680249e-05, + "loss": 6.8175, + "loss/crossentropy": 1.882355809211731, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1706485152244568, + "step": 2794 + }, + { + "epoch": 0.4658333333333333, + "grad_norm": 24.25, + "grad_norm_var": 2.684375, + "learning_rate": 5.538261624908547e-05, + "loss": 6.9308, + "loss/crossentropy": 2.064262479543686, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.16777637228369713, + "step": 2795 + }, + { + "epoch": 0.466, + "grad_norm": 25.75, + "grad_norm_var": 2.5056640625, + "learning_rate": 5.535658771569369e-05, + "loss": 6.8018, + "loss/crossentropy": 1.8925862461328506, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14898591861128807, + "step": 2796 + }, + { + "epoch": 0.4661666666666667, + "grad_norm": 26.125, + "grad_norm_var": 2.571875, + "learning_rate": 5.5330557713763e-05, + "loss": 6.7039, + "loss/crossentropy": 1.6911143958568573, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.15026415884494781, + "step": 2797 + }, + { + "epoch": 0.4663333333333333, + "grad_norm": 26.375, + "grad_norm_var": 2.6275390625, + "learning_rate": 5.530452625042969e-05, + "loss": 6.8105, + "loss/crossentropy": 2.315067231655121, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.170210562646389, + "step": 2798 + }, + { + "epoch": 0.4665, + "grad_norm": 25.375, + "grad_norm_var": 2.59140625, + "learning_rate": 5.527849333283042e-05, + "loss": 6.4203, + "loss/crossentropy": 1.9070280194282532, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.1546054221689701, + "step": 2799 + }, + { + "epoch": 0.4666666666666667, + "grad_norm": 24.25, + "grad_norm_var": 2.2770182291666665, + "learning_rate": 5.525245896810225e-05, + "loss": 6.7249, + "loss/crossentropy": 1.7305954992771149, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.15021208673715591, + "step": 2800 + }, + { + "epoch": 0.4668333333333333, + "grad_norm": 23.875, + "grad_norm_var": 2.403125, + "learning_rate": 5.522642316338268e-05, + "loss": 6.7927, + "loss/crossentropy": 1.560673177242279, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.16950234025716782, + "step": 2801 + }, + { + "epoch": 0.467, + "grad_norm": 26.25, + "grad_norm_var": 2.3041666666666667, + "learning_rate": 5.520038592580955e-05, + "loss": 6.7916, + "loss/crossentropy": 1.8597914278507233, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14083909057080746, + "step": 2802 + }, + { + "epoch": 0.4671666666666667, + "grad_norm": 24.5, + "grad_norm_var": 2.35, + "learning_rate": 5.517434726252113e-05, + "loss": 6.7475, + "loss/crossentropy": 1.8030497133731842, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.12799043580889702, + "step": 2803 + }, + { + "epoch": 0.4673333333333333, + "grad_norm": 23.125, + "grad_norm_var": 2.3833333333333333, + "learning_rate": 5.514830718065607e-05, + "loss": 6.6476, + "loss/crossentropy": 1.674126535654068, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.13680691085755825, + "step": 2804 + }, + { + "epoch": 0.4675, + "grad_norm": 27.25, + "grad_norm_var": 2.620833333333333, + "learning_rate": 5.512226568735338e-05, + "loss": 7.1104, + "loss/crossentropy": 1.6959672272205353, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.18114805221557617, + "step": 2805 + }, + { + "epoch": 0.4676666666666667, + "grad_norm": 23.0, + "grad_norm_var": 2.9337890625, + "learning_rate": 5.50962227897525e-05, + "loss": 6.6878, + "loss/crossentropy": 1.5893827378749847, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.15671509876847267, + "step": 2806 + }, + { + "epoch": 0.4678333333333333, + "grad_norm": 23.75, + "grad_norm_var": 1.6280598958333334, + "learning_rate": 5.5070178494993254e-05, + "loss": 6.8524, + "loss/crossentropy": 2.122991681098938, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.23557240515947342, + "step": 2807 + }, + { + "epoch": 0.468, + "grad_norm": 22.75, + "grad_norm_var": 1.87265625, + "learning_rate": 5.504413281021581e-05, + "loss": 6.7285, + "loss/crossentropy": 2.124196857213974, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16709096357226372, + "step": 2808 + }, + { + "epoch": 0.4681666666666667, + "grad_norm": 23.875, + "grad_norm_var": 1.8843098958333333, + "learning_rate": 5.5018085742560744e-05, + "loss": 6.7142, + "loss/crossentropy": 1.7955721318721771, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17283119075000286, + "step": 2809 + }, + { + "epoch": 0.4683333333333333, + "grad_norm": 24.125, + "grad_norm_var": 1.8327473958333333, + "learning_rate": 5.499203729916902e-05, + "loss": 6.792, + "loss/crossentropy": 2.104689836502075, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.14992285147309303, + "step": 2810 + }, + { + "epoch": 0.4685, + "grad_norm": 24.75, + "grad_norm_var": 1.8207682291666667, + "learning_rate": 5.4965987487181957e-05, + "loss": 6.6916, + "loss/crossentropy": 2.181790769100189, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.16385510936379433, + "step": 2811 + }, + { + "epoch": 0.4686666666666667, + "grad_norm": 26.25, + "grad_norm_var": 1.9067057291666667, + "learning_rate": 5.4939936313741245e-05, + "loss": 6.6542, + "loss/crossentropy": 1.6564922630786896, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.14758923649787903, + "step": 2812 + }, + { + "epoch": 0.4688333333333333, + "grad_norm": 24.875, + "grad_norm_var": 1.7712890625, + "learning_rate": 5.4913883785988993e-05, + "loss": 6.9683, + "loss/crossentropy": 2.2353615760803223, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.17672664299607277, + "step": 2813 + }, + { + "epoch": 0.469, + "grad_norm": 25.0, + "grad_norm_var": 1.5729166666666667, + "learning_rate": 5.4887829911067634e-05, + "loss": 6.9167, + "loss/crossentropy": 2.525071084499359, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1609477773308754, + "step": 2814 + }, + { + "epoch": 0.4691666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.6681640625, + "learning_rate": 5.486177469611998e-05, + "loss": 6.6425, + "loss/crossentropy": 1.7693778276443481, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.13258956000208855, + "step": 2815 + }, + { + "epoch": 0.4693333333333333, + "grad_norm": 26.625, + "grad_norm_var": 1.96875, + "learning_rate": 5.483571814828921e-05, + "loss": 6.6703, + "loss/crossentropy": 1.4401918351650238, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.15802329406142235, + "step": 2816 + }, + { + "epoch": 0.4695, + "grad_norm": 25.375, + "grad_norm_var": 1.971875, + "learning_rate": 5.480966027471889e-05, + "loss": 6.8005, + "loss/crossentropy": 2.30593141913414, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15941552817821503, + "step": 2817 + }, + { + "epoch": 0.4696666666666667, + "grad_norm": 24.75, + "grad_norm_var": 1.79375, + "learning_rate": 5.4783601082552927e-05, + "loss": 6.46, + "loss/crossentropy": 1.8856296837329865, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.14559946954250336, + "step": 2818 + }, + { + "epoch": 0.4698333333333333, + "grad_norm": 23.125, + "grad_norm_var": 1.9233723958333333, + "learning_rate": 5.4757540578935596e-05, + "loss": 6.9399, + "loss/crossentropy": 1.8700672537088394, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.14493743516504765, + "step": 2819 + }, + { + "epoch": 0.47, + "grad_norm": 25.5, + "grad_norm_var": 1.8479166666666667, + "learning_rate": 5.473147877101153e-05, + "loss": 6.9067, + "loss/crossentropy": 2.1717692017555237, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1842605583369732, + "step": 2820 + }, + { + "epoch": 0.4701666666666667, + "grad_norm": 24.0, + "grad_norm_var": 1.3705729166666667, + "learning_rate": 5.470541566592573e-05, + "loss": 6.6662, + "loss/crossentropy": 1.6049991697072983, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.14253461547195911, + "step": 2821 + }, + { + "epoch": 0.4703333333333333, + "grad_norm": 25.625, + "grad_norm_var": 1.3035807291666666, + "learning_rate": 5.467935127082352e-05, + "loss": 6.6367, + "loss/crossentropy": 2.073879301548004, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.1516173891723156, + "step": 2822 + }, + { + "epoch": 0.4705, + "grad_norm": 24.25, + "grad_norm_var": 1.2634765625, + "learning_rate": 5.465328559285063e-05, + "loss": 6.7195, + "loss/crossentropy": 2.2578650414943695, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.15872965194284916, + "step": 2823 + }, + { + "epoch": 0.4706666666666667, + "grad_norm": 24.875, + "grad_norm_var": 1.0166666666666666, + "learning_rate": 5.462721863915312e-05, + "loss": 6.7779, + "loss/crossentropy": 1.443133756518364, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16002801805734634, + "step": 2824 + }, + { + "epoch": 0.4708333333333333, + "grad_norm": 24.875, + "grad_norm_var": 0.9625, + "learning_rate": 5.4601150416877367e-05, + "loss": 6.7223, + "loss/crossentropy": 1.272239163517952, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.13629446364939213, + "step": 2825 + }, + { + "epoch": 0.471, + "grad_norm": 24.5, + "grad_norm_var": 0.9369140625, + "learning_rate": 5.457508093317013e-05, + "loss": 6.8509, + "loss/crossentropy": 1.9085707813501358, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.18648987263441086, + "step": 2826 + }, + { + "epoch": 0.4711666666666667, + "grad_norm": 26.125, + "grad_norm_var": 1.0393229166666667, + "learning_rate": 5.4549010195178505e-05, + "loss": 6.8017, + "loss/crossentropy": 1.9071729332208633, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.16706601530313492, + "step": 2827 + }, + { + "epoch": 0.4713333333333333, + "grad_norm": 23.5, + "grad_norm_var": 1.025, + "learning_rate": 5.4522938210049924e-05, + "loss": 6.5491, + "loss/crossentropy": 2.0569265484809875, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.1558643877506256, + "step": 2828 + }, + { + "epoch": 0.4715, + "grad_norm": 25.0, + "grad_norm_var": 1.0280598958333333, + "learning_rate": 5.449686498493219e-05, + "loss": 6.6443, + "loss/crossentropy": 1.8588783591985703, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1438690721988678, + "step": 2829 + }, + { + "epoch": 0.4716666666666667, + "grad_norm": 24.625, + "grad_norm_var": 1.0247395833333333, + "learning_rate": 5.447079052697342e-05, + "loss": 6.7309, + "loss/crossentropy": 1.701060488820076, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.15850181132555008, + "step": 2830 + }, + { + "epoch": 0.4718333333333333, + "grad_norm": 23.0, + "grad_norm_var": 1.0247395833333333, + "learning_rate": 5.4444714843322085e-05, + "loss": 6.6555, + "loss/crossentropy": 2.0982183814048767, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.13636681623756886, + "step": 2831 + }, + { + "epoch": 0.472, + "grad_norm": 25.625, + "grad_norm_var": 0.83515625, + "learning_rate": 5.4418637941126946e-05, + "loss": 6.7299, + "loss/crossentropy": 1.756877362728119, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.14491311088204384, + "step": 2832 + }, + { + "epoch": 0.4721666666666667, + "grad_norm": 27.75, + "grad_norm_var": 1.4103515625, + "learning_rate": 5.439255982753717e-05, + "loss": 7.1489, + "loss/crossentropy": 1.7197469621896744, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.21711484342813492, + "step": 2833 + }, + { + "epoch": 0.4723333333333333, + "grad_norm": 24.625, + "grad_norm_var": 1.4125, + "learning_rate": 5.436648050970219e-05, + "loss": 6.6675, + "loss/crossentropy": 2.2425095438957214, + "loss/hidden": 2.88671875, + "loss/jsd": 0.0, + "loss/logits": 0.14045887999236584, + "step": 2834 + }, + { + "epoch": 0.4725, + "grad_norm": 28.625, + "grad_norm_var": 2.065625, + "learning_rate": 5.434039999477182e-05, + "loss": 6.7019, + "loss/crossentropy": 1.9245666563510895, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.16003157570958138, + "step": 2835 + }, + { + "epoch": 0.4726666666666667, + "grad_norm": 34.0, + "grad_norm_var": 6.970833333333333, + "learning_rate": 5.4314318289896185e-05, + "loss": 6.6761, + "loss/crossentropy": 1.5191853642463684, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.14053241908550262, + "step": 2836 + }, + { + "epoch": 0.4728333333333333, + "grad_norm": 24.75, + "grad_norm_var": 6.837239583333333, + "learning_rate": 5.428823540222569e-05, + "loss": 6.5915, + "loss/crossentropy": 2.1586702466011047, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.18123877421021461, + "step": 2837 + }, + { + "epoch": 0.473, + "grad_norm": 25.125, + "grad_norm_var": 6.86015625, + "learning_rate": 5.4262151338911173e-05, + "loss": 6.8513, + "loss/crossentropy": 1.9807032644748688, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.18056035414338112, + "step": 2838 + }, + { + "epoch": 0.4731666666666667, + "grad_norm": 24.125, + "grad_norm_var": 6.8853515625, + "learning_rate": 5.423606610710368e-05, + "loss": 6.6201, + "loss/crossentropy": 2.168165236711502, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.14209232106804848, + "step": 2839 + }, + { + "epoch": 0.47333333333333333, + "grad_norm": 26.5, + "grad_norm_var": 6.87265625, + "learning_rate": 5.4209979713954625e-05, + "loss": 6.7459, + "loss/crossentropy": 1.5035814344882965, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.14620023407042027, + "step": 2840 + }, + { + "epoch": 0.4735, + "grad_norm": 24.25, + "grad_norm_var": 6.973893229166666, + "learning_rate": 5.418389216661579e-05, + "loss": 6.6698, + "loss/crossentropy": 1.7686389088630676, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.16423527151346207, + "step": 2841 + }, + { + "epoch": 0.4736666666666667, + "grad_norm": 24.625, + "grad_norm_var": 6.95390625, + "learning_rate": 5.4157803472239164e-05, + "loss": 6.8295, + "loss/crossentropy": 1.7503387778997421, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.150172496214509, + "step": 2842 + }, + { + "epoch": 0.47383333333333333, + "grad_norm": 25.0, + "grad_norm_var": 6.9791015625, + "learning_rate": 5.413171363797713e-05, + "loss": 6.8949, + "loss/crossentropy": 1.8836792707443237, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14637570083141327, + "step": 2843 + }, + { + "epoch": 0.474, + "grad_norm": 25.5, + "grad_norm_var": 6.643684895833333, + "learning_rate": 5.410562267098238e-05, + "loss": 6.533, + "loss/crossentropy": 1.9490323960781097, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14107951894402504, + "step": 2844 + }, + { + "epoch": 0.4741666666666667, + "grad_norm": 22.875, + "grad_norm_var": 7.158333333333333, + "learning_rate": 5.407953057840789e-05, + "loss": 6.4004, + "loss/crossentropy": 1.9779317677021027, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.152092557400465, + "step": 2845 + }, + { + "epoch": 0.47433333333333333, + "grad_norm": 24.125, + "grad_norm_var": 7.244791666666667, + "learning_rate": 5.4053437367406946e-05, + "loss": 6.5566, + "loss/crossentropy": 1.6441625356674194, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1507224440574646, + "step": 2846 + }, + { + "epoch": 0.4745, + "grad_norm": 23.75, + "grad_norm_var": 7.014322916666667, + "learning_rate": 5.402734304513316e-05, + "loss": 6.7914, + "loss/crossentropy": 1.5745086371898651, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1482301577925682, + "step": 2847 + }, + { + "epoch": 0.4746666666666667, + "grad_norm": 23.875, + "grad_norm_var": 7.223958333333333, + "learning_rate": 5.400124761874045e-05, + "loss": 6.6944, + "loss/crossentropy": 1.4585518687963486, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.15294454619288445, + "step": 2848 + }, + { + "epoch": 0.47483333333333333, + "grad_norm": 22.875, + "grad_norm_var": 7.307747395833333, + "learning_rate": 5.3975151095382995e-05, + "loss": 6.5642, + "loss/crossentropy": 1.9783165156841278, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.144564813002944, + "step": 2849 + }, + { + "epoch": 0.475, + "grad_norm": 25.375, + "grad_norm_var": 7.276497395833333, + "learning_rate": 5.394905348221533e-05, + "loss": 6.5969, + "loss/crossentropy": 1.6756109297275543, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.16426939889788628, + "step": 2850 + }, + { + "epoch": 0.4751666666666667, + "grad_norm": 26.75, + "grad_norm_var": 6.673958333333333, + "learning_rate": 5.392295478639225e-05, + "loss": 6.6039, + "loss/crossentropy": 1.6102576851844788, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.13456918112933636, + "step": 2851 + }, + { + "epoch": 0.47533333333333333, + "grad_norm": 25.125, + "grad_norm_var": 1.2056640625, + "learning_rate": 5.389685501506887e-05, + "loss": 6.7712, + "loss/crossentropy": 2.152089834213257, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.15016418509185314, + "step": 2852 + }, + { + "epoch": 0.4755, + "grad_norm": 24.25, + "grad_norm_var": 1.2155598958333333, + "learning_rate": 5.3870754175400595e-05, + "loss": 6.7469, + "loss/crossentropy": 1.8747009634971619, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.13585194572806358, + "step": 2853 + }, + { + "epoch": 0.4756666666666667, + "grad_norm": 25.375, + "grad_norm_var": 1.2358723958333333, + "learning_rate": 5.384465227454311e-05, + "loss": 6.7256, + "loss/crossentropy": 2.3583598732948303, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.17052099481225014, + "step": 2854 + }, + { + "epoch": 0.47583333333333333, + "grad_norm": 24.625, + "grad_norm_var": 1.2166015625, + "learning_rate": 5.381854931965238e-05, + "loss": 6.8255, + "loss/crossentropy": 2.0157586187124252, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16061819531023502, + "step": 2855 + }, + { + "epoch": 0.476, + "grad_norm": 27.875, + "grad_norm_var": 1.6684895833333333, + "learning_rate": 5.3792445317884696e-05, + "loss": 6.6174, + "loss/crossentropy": 1.0525179654359818, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.20606178231537342, + "step": 2856 + }, + { + "epoch": 0.4761666666666667, + "grad_norm": 25.125, + "grad_norm_var": 1.6561848958333334, + "learning_rate": 5.3766340276396646e-05, + "loss": 6.5299, + "loss/crossentropy": 1.639274775981903, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.15794669650495052, + "step": 2857 + }, + { + "epoch": 0.47633333333333333, + "grad_norm": 24.0, + "grad_norm_var": 1.696875, + "learning_rate": 5.374023420234503e-05, + "loss": 6.5387, + "loss/crossentropy": 1.535856932401657, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16769495978951454, + "step": 2858 + }, + { + "epoch": 0.4765, + "grad_norm": 26.375, + "grad_norm_var": 1.8551432291666667, + "learning_rate": 5.3714127102887e-05, + "loss": 6.6243, + "loss/crossentropy": 1.8689456433057785, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.15691878646612167, + "step": 2859 + }, + { + "epoch": 0.4766666666666667, + "grad_norm": 24.875, + "grad_norm_var": 1.8268229166666667, + "learning_rate": 5.3688018985179956e-05, + "loss": 6.7098, + "loss/crossentropy": 1.718141108751297, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.12585802003741264, + "step": 2860 + }, + { + "epoch": 0.47683333333333333, + "grad_norm": 25.5, + "grad_norm_var": 1.5738932291666667, + "learning_rate": 5.366190985638159e-05, + "loss": 6.6959, + "loss/crossentropy": 1.5240763574838638, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.14218821562826633, + "step": 2861 + }, + { + "epoch": 0.477, + "grad_norm": 25.25, + "grad_norm_var": 1.5229166666666667, + "learning_rate": 5.363579972364987e-05, + "loss": 6.8105, + "loss/crossentropy": 1.8800866156816483, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1809946522116661, + "step": 2862 + }, + { + "epoch": 0.4771666666666667, + "grad_norm": 26.75, + "grad_norm_var": 1.5604166666666666, + "learning_rate": 5.360968859414305e-05, + "loss": 6.9689, + "loss/crossentropy": 2.143077462911606, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.1608499214053154, + "step": 2863 + }, + { + "epoch": 0.47733333333333333, + "grad_norm": 24.875, + "grad_norm_var": 1.4395833333333334, + "learning_rate": 5.35835764750196e-05, + "loss": 6.554, + "loss/crossentropy": 2.0242105424404144, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.15443339943885803, + "step": 2864 + }, + { + "epoch": 0.4775, + "grad_norm": 24.125, + "grad_norm_var": 1.1309895833333334, + "learning_rate": 5.3557463373438357e-05, + "loss": 6.6882, + "loss/crossentropy": 1.6243752092123032, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.15371021255850792, + "step": 2865 + }, + { + "epoch": 0.4776666666666667, + "grad_norm": 26.375, + "grad_norm_var": 1.19140625, + "learning_rate": 5.3531349296558345e-05, + "loss": 6.7118, + "loss/crossentropy": 1.8761367201805115, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.20199554413557053, + "step": 2866 + }, + { + "epoch": 0.47783333333333333, + "grad_norm": 25.625, + "grad_norm_var": 1.0759765625, + "learning_rate": 5.3505234251538885e-05, + "loss": 6.945, + "loss/crossentropy": 2.4568829238414764, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.16939117014408112, + "step": 2867 + }, + { + "epoch": 0.478, + "grad_norm": 25.0, + "grad_norm_var": 1.08125, + "learning_rate": 5.3479118245539595e-05, + "loss": 6.8684, + "loss/crossentropy": 2.256203830242157, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.14989249780774117, + "step": 2868 + }, + { + "epoch": 0.4781666666666667, + "grad_norm": 23.625, + "grad_norm_var": 1.1994140625, + "learning_rate": 5.345300128572031e-05, + "loss": 6.8677, + "loss/crossentropy": 2.617203414440155, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.15250790491700172, + "step": 2869 + }, + { + "epoch": 0.47833333333333333, + "grad_norm": 25.0, + "grad_norm_var": 1.20625, + "learning_rate": 5.342688337924111e-05, + "loss": 6.7218, + "loss/crossentropy": 1.8125781118869781, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1471349112689495, + "step": 2870 + }, + { + "epoch": 0.4785, + "grad_norm": 24.375, + "grad_norm_var": 1.2330729166666667, + "learning_rate": 5.340076453326241e-05, + "loss": 6.6162, + "loss/crossentropy": 1.6829810738563538, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.14999364875257015, + "step": 2871 + }, + { + "epoch": 0.4786666666666667, + "grad_norm": 23.625, + "grad_norm_var": 0.9010416666666666, + "learning_rate": 5.3374644754944836e-05, + "loss": 6.7086, + "loss/crossentropy": 1.2163010090589523, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.14663802832365036, + "step": 2872 + }, + { + "epoch": 0.47883333333333333, + "grad_norm": 24.0, + "grad_norm_var": 0.9660807291666667, + "learning_rate": 5.3348524051449254e-05, + "loss": 6.7249, + "loss/crossentropy": 2.193705141544342, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.14274855703115463, + "step": 2873 + }, + { + "epoch": 0.479, + "grad_norm": 24.375, + "grad_norm_var": 0.9268229166666667, + "learning_rate": 5.3322402429936816e-05, + "loss": 6.774, + "loss/crossentropy": 1.5470921695232391, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.12328914739191532, + "step": 2874 + }, + { + "epoch": 0.4791666666666667, + "grad_norm": 25.125, + "grad_norm_var": 0.7927083333333333, + "learning_rate": 5.32962798975689e-05, + "loss": 6.5938, + "loss/crossentropy": 2.005379796028137, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.15538986399769783, + "step": 2875 + }, + { + "epoch": 0.47933333333333333, + "grad_norm": 23.75, + "grad_norm_var": 0.8764973958333333, + "learning_rate": 5.327015646150716e-05, + "loss": 6.6252, + "loss/crossentropy": 2.0261772871017456, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16009143367409706, + "step": 2876 + }, + { + "epoch": 0.4795, + "grad_norm": 25.75, + "grad_norm_var": 0.9025390625, + "learning_rate": 5.3244032128913476e-05, + "loss": 6.8352, + "loss/crossentropy": 1.5400115996599197, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.15781322121620178, + "step": 2877 + }, + { + "epoch": 0.4796666666666667, + "grad_norm": 24.0, + "grad_norm_var": 0.9337890625, + "learning_rate": 5.3217906906949985e-05, + "loss": 6.6677, + "loss/crossentropy": 1.3505612909793854, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.13718014024198055, + "step": 2878 + }, + { + "epoch": 0.47983333333333333, + "grad_norm": 23.625, + "grad_norm_var": 0.7205729166666667, + "learning_rate": 5.319178080277908e-05, + "loss": 6.5505, + "loss/crossentropy": 1.8356793224811554, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1741839349269867, + "step": 2879 + }, + { + "epoch": 0.48, + "grad_norm": 24.875, + "grad_norm_var": 0.7205729166666667, + "learning_rate": 5.3165653823563355e-05, + "loss": 6.6017, + "loss/crossentropy": 1.7176800519227982, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.15897737815976143, + "step": 2880 + }, + { + "epoch": 0.4801666666666667, + "grad_norm": 23.625, + "grad_norm_var": 0.76640625, + "learning_rate": 5.313952597646568e-05, + "loss": 6.8209, + "loss/crossentropy": 1.721219539642334, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.14553339779376984, + "step": 2881 + }, + { + "epoch": 0.48033333333333333, + "grad_norm": 24.5, + "grad_norm_var": 0.5291015625, + "learning_rate": 5.311339726864915e-05, + "loss": 6.4642, + "loss/crossentropy": 1.6057092249393463, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.14721596240997314, + "step": 2882 + }, + { + "epoch": 0.4805, + "grad_norm": 24.0, + "grad_norm_var": 0.43515625, + "learning_rate": 5.30872677072771e-05, + "loss": 6.6706, + "loss/crossentropy": 1.8551390171051025, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.15048561245203018, + "step": 2883 + }, + { + "epoch": 0.4806666666666667, + "grad_norm": 23.375, + "grad_norm_var": 0.45462239583333336, + "learning_rate": 5.30611372995131e-05, + "loss": 6.8781, + "loss/crossentropy": 1.9222497642040253, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16718683391809464, + "step": 2884 + }, + { + "epoch": 0.48083333333333333, + "grad_norm": 26.25, + "grad_norm_var": 0.6747395833333333, + "learning_rate": 5.3035006052520955e-05, + "loss": 6.6753, + "loss/crossentropy": 1.9388454854488373, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.17264163121581078, + "step": 2885 + }, + { + "epoch": 0.481, + "grad_norm": 24.5, + "grad_norm_var": 0.6497395833333334, + "learning_rate": 5.3008873973464676e-05, + "loss": 6.5438, + "loss/crossentropy": 1.3140443414449692, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.13744274713099003, + "step": 2886 + }, + { + "epoch": 0.4811666666666667, + "grad_norm": 24.625, + "grad_norm_var": 0.6541666666666667, + "learning_rate": 5.298274106950854e-05, + "loss": 6.9064, + "loss/crossentropy": 1.8685161173343658, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.18984225392341614, + "step": 2887 + }, + { + "epoch": 0.48133333333333334, + "grad_norm": 23.125, + "grad_norm_var": 0.7197916666666667, + "learning_rate": 5.295660734781701e-05, + "loss": 6.6771, + "loss/crossentropy": 1.837827354669571, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.14059551805257797, + "step": 2888 + }, + { + "epoch": 0.4815, + "grad_norm": 25.0, + "grad_norm_var": 0.7364583333333333, + "learning_rate": 5.293047281555482e-05, + "loss": 6.5571, + "loss/crossentropy": 1.7325890958309174, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.18639672547578812, + "step": 2889 + }, + { + "epoch": 0.4816666666666667, + "grad_norm": 23.25, + "grad_norm_var": 0.8202473958333333, + "learning_rate": 5.29043374798869e-05, + "loss": 6.5155, + "loss/crossentropy": 1.1897560060024261, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.12209839001297951, + "step": 2890 + }, + { + "epoch": 0.48183333333333334, + "grad_norm": 24.125, + "grad_norm_var": 0.7775390625, + "learning_rate": 5.2878201347978374e-05, + "loss": 6.7539, + "loss/crossentropy": 1.7521211355924606, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.13345801830291748, + "step": 2891 + }, + { + "epoch": 0.482, + "grad_norm": 22.875, + "grad_norm_var": 0.8864583333333333, + "learning_rate": 5.285206442699462e-05, + "loss": 6.5777, + "loss/crossentropy": 1.9380513429641724, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18087198212742805, + "step": 2892 + }, + { + "epoch": 0.4821666666666667, + "grad_norm": 24.875, + "grad_norm_var": 0.7556640625, + "learning_rate": 5.2825926724101236e-05, + "loss": 6.9958, + "loss/crossentropy": 2.2339815944433212, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.1813724171370268, + "step": 2893 + }, + { + "epoch": 0.48233333333333334, + "grad_norm": 23.375, + "grad_norm_var": 0.79375, + "learning_rate": 5.2799788246464e-05, + "loss": 6.7576, + "loss/crossentropy": 1.811117559671402, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1561841517686844, + "step": 2894 + }, + { + "epoch": 0.4825, + "grad_norm": 23.125, + "grad_norm_var": 0.8427083333333333, + "learning_rate": 5.277364900124896e-05, + "loss": 6.7311, + "loss/crossentropy": 2.059980809688568, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.15706376358866692, + "step": 2895 + }, + { + "epoch": 0.4826666666666667, + "grad_norm": 27.0, + "grad_norm_var": 1.3462890625, + "learning_rate": 5.27475089956223e-05, + "loss": 7.0238, + "loss/crossentropy": 2.0270092487335205, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.20223573967814445, + "step": 2896 + }, + { + "epoch": 0.48283333333333334, + "grad_norm": 24.0, + "grad_norm_var": 1.325, + "learning_rate": 5.272136823675046e-05, + "loss": 6.763, + "loss/crossentropy": 1.7606420814990997, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.15148501843214035, + "step": 2897 + }, + { + "epoch": 0.483, + "grad_norm": 26.0, + "grad_norm_var": 1.515625, + "learning_rate": 5.269522673180009e-05, + "loss": 6.4688, + "loss/crossentropy": 1.6518172472715378, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15971528552472591, + "step": 2898 + }, + { + "epoch": 0.4831666666666667, + "grad_norm": 24.375, + "grad_norm_var": 1.5072265625, + "learning_rate": 5.266908448793803e-05, + "loss": 6.8621, + "loss/crossentropy": 1.9179916083812714, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15448285266757011, + "step": 2899 + }, + { + "epoch": 0.48333333333333334, + "grad_norm": 24.875, + "grad_norm_var": 1.4494140625, + "learning_rate": 5.264294151233132e-05, + "loss": 6.9433, + "loss/crossentropy": 1.659451276063919, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.18362764827907085, + "step": 2900 + }, + { + "epoch": 0.4835, + "grad_norm": 23.0, + "grad_norm_var": 1.3343098958333333, + "learning_rate": 5.26167978121472e-05, + "loss": 6.4907, + "loss/crossentropy": 1.5288855284452438, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.13370729982852936, + "step": 2901 + }, + { + "epoch": 0.4836666666666667, + "grad_norm": 23.625, + "grad_norm_var": 1.35390625, + "learning_rate": 5.2590653394553127e-05, + "loss": 6.6726, + "loss/crossentropy": 2.511498808860779, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.16781990230083466, + "step": 2902 + }, + { + "epoch": 0.48383333333333334, + "grad_norm": 25.625, + "grad_norm_var": 1.47265625, + "learning_rate": 5.256450826671672e-05, + "loss": 7.0739, + "loss/crossentropy": 2.2652429938316345, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.1933600977063179, + "step": 2903 + }, + { + "epoch": 0.484, + "grad_norm": 24.625, + "grad_norm_var": 1.38515625, + "learning_rate": 5.253836243580582e-05, + "loss": 6.841, + "loss/crossentropy": 2.1496012806892395, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1649666428565979, + "step": 2904 + }, + { + "epoch": 0.4841666666666667, + "grad_norm": 23.625, + "grad_norm_var": 1.3858723958333334, + "learning_rate": 5.2512215908988484e-05, + "loss": 6.5821, + "loss/crossentropy": 2.1439765095710754, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.14908815175294876, + "step": 2905 + }, + { + "epoch": 0.48433333333333334, + "grad_norm": 23.875, + "grad_norm_var": 1.325, + "learning_rate": 5.24860686934329e-05, + "loss": 6.8463, + "loss/crossentropy": 1.8437843322753906, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.16303017735481262, + "step": 2906 + }, + { + "epoch": 0.4845, + "grad_norm": 25.5, + "grad_norm_var": 1.4087890625, + "learning_rate": 5.245992079630748e-05, + "loss": 6.869, + "loss/crossentropy": 2.301176369190216, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.18119270727038383, + "step": 2907 + }, + { + "epoch": 0.4846666666666667, + "grad_norm": 25.375, + "grad_norm_var": 1.2916015625, + "learning_rate": 5.243377222478083e-05, + "loss": 6.6572, + "loss/crossentropy": 1.6996362805366516, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1616962905973196, + "step": 2908 + }, + { + "epoch": 0.48483333333333334, + "grad_norm": 24.875, + "grad_norm_var": 1.2916015625, + "learning_rate": 5.240762298602171e-05, + "loss": 6.9755, + "loss/crossentropy": 2.3611871004104614, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14059965685009956, + "step": 2909 + }, + { + "epoch": 0.485, + "grad_norm": 24.375, + "grad_norm_var": 1.1968098958333333, + "learning_rate": 5.2381473087199094e-05, + "loss": 6.726, + "loss/crossentropy": 1.950127750635147, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1631813645362854, + "step": 2910 + }, + { + "epoch": 0.4851666666666667, + "grad_norm": 25.125, + "grad_norm_var": 1.0488932291666666, + "learning_rate": 5.235532253548213e-05, + "loss": 6.7667, + "loss/crossentropy": 1.8568897396326065, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.14956087619066238, + "step": 2911 + }, + { + "epoch": 0.48533333333333334, + "grad_norm": 25.125, + "grad_norm_var": 0.7041666666666667, + "learning_rate": 5.232917133804014e-05, + "loss": 6.7974, + "loss/crossentropy": 1.7906281054019928, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15766709297895432, + "step": 2912 + }, + { + "epoch": 0.4855, + "grad_norm": 23.75, + "grad_norm_var": 0.72890625, + "learning_rate": 5.230301950204262e-05, + "loss": 6.6812, + "loss/crossentropy": 2.0427019894123077, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.14516030065715313, + "step": 2913 + }, + { + "epoch": 0.4856666666666667, + "grad_norm": 23.375, + "grad_norm_var": 0.6728515625, + "learning_rate": 5.227686703465924e-05, + "loss": 6.7984, + "loss/crossentropy": 1.9956507086753845, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.13780580274760723, + "step": 2914 + }, + { + "epoch": 0.48583333333333334, + "grad_norm": 26.375, + "grad_norm_var": 0.9041015625, + "learning_rate": 5.2250713943059826e-05, + "loss": 6.7656, + "loss/crossentropy": 2.2176441848278046, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.16681765764951706, + "step": 2915 + }, + { + "epoch": 0.486, + "grad_norm": 25.0, + "grad_norm_var": 0.91015625, + "learning_rate": 5.222456023441444e-05, + "loss": 6.6874, + "loss/crossentropy": 1.741613119840622, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.13769875839352608, + "step": 2916 + }, + { + "epoch": 0.4861666666666667, + "grad_norm": 24.375, + "grad_norm_var": 0.7389973958333333, + "learning_rate": 5.219840591589325e-05, + "loss": 6.6713, + "loss/crossentropy": 2.016134798526764, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16637173295021057, + "step": 2917 + }, + { + "epoch": 0.48633333333333334, + "grad_norm": 23.5, + "grad_norm_var": 0.7572916666666667, + "learning_rate": 5.217225099466661e-05, + "loss": 6.3812, + "loss/crossentropy": 1.682734191417694, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.13630275800824165, + "step": 2918 + }, + { + "epoch": 0.4865, + "grad_norm": 24.5, + "grad_norm_var": 0.6910807291666666, + "learning_rate": 5.2146095477905033e-05, + "loss": 6.8372, + "loss/crossentropy": 1.7442630529403687, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.17190179973840714, + "step": 2919 + }, + { + "epoch": 0.4866666666666667, + "grad_norm": 24.625, + "grad_norm_var": 0.6910807291666666, + "learning_rate": 5.2119939372779216e-05, + "loss": 6.8642, + "loss/crossentropy": 1.8718325793743134, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1434888318181038, + "step": 2920 + }, + { + "epoch": 0.48683333333333334, + "grad_norm": 23.5, + "grad_norm_var": 0.7080729166666667, + "learning_rate": 5.209378268645998e-05, + "loss": 6.6258, + "loss/crossentropy": 2.08834645152092, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.14658582210540771, + "step": 2921 + }, + { + "epoch": 0.487, + "grad_norm": 23.875, + "grad_norm_var": 0.7080729166666667, + "learning_rate": 5.206762542611836e-05, + "loss": 6.8738, + "loss/crossentropy": 2.2790898084640503, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.14557505771517754, + "step": 2922 + }, + { + "epoch": 0.4871666666666667, + "grad_norm": 24.625, + "grad_norm_var": 0.6483723958333333, + "learning_rate": 5.204146759892551e-05, + "loss": 6.6812, + "loss/crossentropy": 2.026610106229782, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.18454645201563835, + "step": 2923 + }, + { + "epoch": 0.48733333333333334, + "grad_norm": 25.25, + "grad_norm_var": 0.63515625, + "learning_rate": 5.201530921205272e-05, + "loss": 6.7949, + "loss/crossentropy": 1.8987725973129272, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.29007627815008163, + "step": 2924 + }, + { + "epoch": 0.4875, + "grad_norm": 23.25, + "grad_norm_var": 0.7223307291666666, + "learning_rate": 5.19891502726715e-05, + "loss": 6.3329, + "loss/crossentropy": 1.709078699350357, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17028192058205605, + "step": 2925 + }, + { + "epoch": 0.4876666666666667, + "grad_norm": 24.25, + "grad_norm_var": 0.7239583333333334, + "learning_rate": 5.196299078795344e-05, + "loss": 6.8092, + "loss/crossentropy": 1.8092730045318604, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.14346406608819962, + "step": 2926 + }, + { + "epoch": 0.48783333333333334, + "grad_norm": 22.625, + "grad_norm_var": 0.875, + "learning_rate": 5.193683076507031e-05, + "loss": 6.6543, + "loss/crossentropy": 2.1433390378952026, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.14999230951070786, + "step": 2927 + }, + { + "epoch": 0.488, + "grad_norm": 24.5, + "grad_norm_var": 0.8264973958333334, + "learning_rate": 5.191067021119407e-05, + "loss": 6.6682, + "loss/crossentropy": 1.8842762112617493, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.17885850369930267, + "step": 2928 + }, + { + "epoch": 0.4881666666666667, + "grad_norm": 26.5, + "grad_norm_var": 1.1301432291666667, + "learning_rate": 5.188450913349674e-05, + "loss": 6.6405, + "loss/crossentropy": 1.8294996917247772, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.12849177420139313, + "step": 2929 + }, + { + "epoch": 0.48833333333333334, + "grad_norm": 25.75, + "grad_norm_var": 1.1635416666666667, + "learning_rate": 5.185834753915053e-05, + "loss": 6.7857, + "loss/crossentropy": 1.975635588169098, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.17420825734734535, + "step": 2930 + }, + { + "epoch": 0.4885, + "grad_norm": 24.75, + "grad_norm_var": 0.9291015625, + "learning_rate": 5.183218543532782e-05, + "loss": 6.6639, + "loss/crossentropy": 1.960043340921402, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.14804191514849663, + "step": 2931 + }, + { + "epoch": 0.4886666666666667, + "grad_norm": 24.25, + "grad_norm_var": 0.9072265625, + "learning_rate": 5.180602282920107e-05, + "loss": 6.6567, + "loss/crossentropy": 1.913852483034134, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.1500466875731945, + "step": 2932 + }, + { + "epoch": 0.48883333333333334, + "grad_norm": 22.625, + "grad_norm_var": 1.1004557291666666, + "learning_rate": 5.1779859727942924e-05, + "loss": 6.6699, + "loss/crossentropy": 1.929185301065445, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.20500511303544044, + "step": 2933 + }, + { + "epoch": 0.489, + "grad_norm": 22.625, + "grad_norm_var": 1.2385416666666667, + "learning_rate": 5.175369613872615e-05, + "loss": 6.5957, + "loss/crossentropy": 2.0270097255706787, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1646028384566307, + "step": 2934 + }, + { + "epoch": 0.4891666666666667, + "grad_norm": 23.875, + "grad_norm_var": 1.2395182291666667, + "learning_rate": 5.172753206872363e-05, + "loss": 6.7793, + "loss/crossentropy": 2.1734158992767334, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.17170670256018639, + "step": 2935 + }, + { + "epoch": 0.48933333333333334, + "grad_norm": 24.5, + "grad_norm_var": 1.2330729166666667, + "learning_rate": 5.170136752510837e-05, + "loss": 6.6618, + "loss/crossentropy": 2.0876734852790833, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1972336247563362, + "step": 2936 + }, + { + "epoch": 0.4895, + "grad_norm": 24.875, + "grad_norm_var": 1.2280598958333333, + "learning_rate": 5.167520251505358e-05, + "loss": 6.8947, + "loss/crossentropy": 1.764424204826355, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.2225547917187214, + "step": 2937 + }, + { + "epoch": 0.48966666666666664, + "grad_norm": 24.125, + "grad_norm_var": 1.2192057291666667, + "learning_rate": 5.164903704573251e-05, + "loss": 6.5124, + "loss/crossentropy": 1.9363258183002472, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1399003155529499, + "step": 2938 + }, + { + "epoch": 0.48983333333333334, + "grad_norm": 26.0, + "grad_norm_var": 1.4018229166666667, + "learning_rate": 5.162287112431858e-05, + "loss": 6.6775, + "loss/crossentropy": 1.582494467496872, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1674555204808712, + "step": 2939 + }, + { + "epoch": 0.49, + "grad_norm": 24.375, + "grad_norm_var": 1.3457682291666666, + "learning_rate": 5.159670475798534e-05, + "loss": 6.6717, + "loss/crossentropy": 1.729225605726242, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1517535038292408, + "step": 2940 + }, + { + "epoch": 0.49016666666666664, + "grad_norm": 25.625, + "grad_norm_var": 1.3643229166666666, + "learning_rate": 5.157053795390642e-05, + "loss": 6.7558, + "loss/crossentropy": 1.411940187215805, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.15788137167692184, + "step": 2941 + }, + { + "epoch": 0.49033333333333334, + "grad_norm": 23.0, + "grad_norm_var": 1.4958333333333333, + "learning_rate": 5.154437071925562e-05, + "loss": 6.4717, + "loss/crossentropy": 1.9190175831317902, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.1507856473326683, + "step": 2942 + }, + { + "epoch": 0.4905, + "grad_norm": 24.875, + "grad_norm_var": 1.2872395833333334, + "learning_rate": 5.151820306120682e-05, + "loss": 6.7639, + "loss/crossentropy": 2.498326823115349, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15551788732409477, + "step": 2943 + }, + { + "epoch": 0.49066666666666664, + "grad_norm": 23.75, + "grad_norm_var": 1.3239583333333333, + "learning_rate": 5.1492034986934046e-05, + "loss": 6.4515, + "loss/crossentropy": 1.756924882531166, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.13961193151772022, + "step": 2944 + }, + { + "epoch": 0.49083333333333334, + "grad_norm": 23.75, + "grad_norm_var": 1.0518229166666666, + "learning_rate": 5.1465866503611426e-05, + "loss": 6.4245, + "loss/crossentropy": 1.5240508913993835, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1488608941435814, + "step": 2945 + }, + { + "epoch": 0.491, + "grad_norm": 23.75, + "grad_norm_var": 0.9143229166666667, + "learning_rate": 5.143969761841317e-05, + "loss": 6.74, + "loss/crossentropy": 1.740509256720543, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14202177710831165, + "step": 2946 + }, + { + "epoch": 0.49116666666666664, + "grad_norm": 27.75, + "grad_norm_var": 1.7080729166666666, + "learning_rate": 5.141352833851367e-05, + "loss": 6.8, + "loss/crossentropy": 1.481581687927246, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.14613525569438934, + "step": 2947 + }, + { + "epoch": 0.49133333333333334, + "grad_norm": 24.625, + "grad_norm_var": 1.7113932291666667, + "learning_rate": 5.138735867108735e-05, + "loss": 6.5859, + "loss/crossentropy": 1.6167203485965729, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.15105751529335976, + "step": 2948 + }, + { + "epoch": 0.4915, + "grad_norm": 23.125, + "grad_norm_var": 1.6098307291666667, + "learning_rate": 5.136118862330876e-05, + "loss": 6.726, + "loss/crossentropy": 2.137267589569092, + "loss/hidden": 2.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.1579330451786518, + "step": 2949 + }, + { + "epoch": 0.49166666666666664, + "grad_norm": 23.75, + "grad_norm_var": 1.4205729166666667, + "learning_rate": 5.133501820235264e-05, + "loss": 6.4317, + "loss/crossentropy": 1.9282933175563812, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1632114015519619, + "step": 2950 + }, + { + "epoch": 0.49183333333333334, + "grad_norm": 24.125, + "grad_norm_var": 1.4041666666666666, + "learning_rate": 5.1308847415393666e-05, + "loss": 6.8885, + "loss/crossentropy": 1.68307925760746, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.1433028280735016, + "step": 2951 + }, + { + "epoch": 0.492, + "grad_norm": 24.75, + "grad_norm_var": 1.4080729166666666, + "learning_rate": 5.1282676269606756e-05, + "loss": 6.628, + "loss/crossentropy": 1.6934436559677124, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.16440564393997192, + "step": 2952 + }, + { + "epoch": 0.49216666666666664, + "grad_norm": 23.5, + "grad_norm_var": 1.4603515625, + "learning_rate": 5.125650477216688e-05, + "loss": 6.6582, + "loss/crossentropy": 1.8423959016799927, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.14392022415995598, + "step": 2953 + }, + { + "epoch": 0.49233333333333335, + "grad_norm": 22.875, + "grad_norm_var": 1.6087890625, + "learning_rate": 5.123033293024909e-05, + "loss": 6.6535, + "loss/crossentropy": 1.6005087792873383, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.15468665584921837, + "step": 2954 + }, + { + "epoch": 0.4925, + "grad_norm": 24.75, + "grad_norm_var": 1.4317057291666666, + "learning_rate": 5.120416075102855e-05, + "loss": 6.6799, + "loss/crossentropy": 2.071096509695053, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.14402827247977257, + "step": 2955 + }, + { + "epoch": 0.49266666666666664, + "grad_norm": 24.375, + "grad_norm_var": 1.4317057291666666, + "learning_rate": 5.117798824168052e-05, + "loss": 6.7029, + "loss/crossentropy": 2.390558809041977, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.17282423377037048, + "step": 2956 + }, + { + "epoch": 0.49283333333333335, + "grad_norm": 24.25, + "grad_norm_var": 1.3020833333333333, + "learning_rate": 5.115181540938032e-05, + "loss": 6.8346, + "loss/crossentropy": 1.840759426355362, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15359285846352577, + "step": 2957 + }, + { + "epoch": 0.493, + "grad_norm": 23.625, + "grad_norm_var": 1.2275390625, + "learning_rate": 5.112564226130339e-05, + "loss": 6.7405, + "loss/crossentropy": 2.105774700641632, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15172048471868038, + "step": 2958 + }, + { + "epoch": 0.49316666666666664, + "grad_norm": 23.25, + "grad_norm_var": 1.2520833333333334, + "learning_rate": 5.109946880462526e-05, + "loss": 6.5862, + "loss/crossentropy": 1.826119989156723, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1548355035483837, + "step": 2959 + }, + { + "epoch": 0.49333333333333335, + "grad_norm": 26.25, + "grad_norm_var": 1.5177083333333334, + "learning_rate": 5.107329504652152e-05, + "loss": 6.8893, + "loss/crossentropy": 2.186590701341629, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.15903159230947495, + "step": 2960 + }, + { + "epoch": 0.4935, + "grad_norm": 26.375, + "grad_norm_var": 1.7624348958333333, + "learning_rate": 5.104712099416785e-05, + "loss": 6.7776, + "loss/crossentropy": 1.9351409375667572, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1523992046713829, + "step": 2961 + }, + { + "epoch": 0.49366666666666664, + "grad_norm": 24.5, + "grad_norm_var": 1.7280598958333333, + "learning_rate": 5.102094665474003e-05, + "loss": 6.4999, + "loss/crossentropy": 1.6711330115795135, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.14084027707576752, + "step": 2962 + }, + { + "epoch": 0.49383333333333335, + "grad_norm": 25.625, + "grad_norm_var": 1.0872395833333333, + "learning_rate": 5.09947720354139e-05, + "loss": 6.7891, + "loss/crossentropy": 1.7664080560207367, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.12499387748539448, + "step": 2963 + }, + { + "epoch": 0.494, + "grad_norm": 23.625, + "grad_norm_var": 1.1143229166666666, + "learning_rate": 5.096859714336535e-05, + "loss": 6.56, + "loss/crossentropy": 2.2102321684360504, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.1450982317328453, + "step": 2964 + }, + { + "epoch": 0.49416666666666664, + "grad_norm": 24.75, + "grad_norm_var": 1.0254557291666666, + "learning_rate": 5.094242198577042e-05, + "loss": 6.5658, + "loss/crossentropy": 2.038947343826294, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.145708329975605, + "step": 2965 + }, + { + "epoch": 0.49433333333333335, + "grad_norm": 24.5, + "grad_norm_var": 0.9957682291666666, + "learning_rate": 5.091624656980515e-05, + "loss": 6.6555, + "loss/crossentropy": 2.4644298553466797, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.17152094841003418, + "step": 2966 + }, + { + "epoch": 0.4945, + "grad_norm": 23.0, + "grad_norm_var": 1.1229166666666666, + "learning_rate": 5.089007090264568e-05, + "loss": 6.7322, + "loss/crossentropy": 1.9209401309490204, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.17360089905560017, + "step": 2967 + }, + { + "epoch": 0.49466666666666664, + "grad_norm": 25.125, + "grad_norm_var": 1.1504557291666666, + "learning_rate": 5.086389499146823e-05, + "loss": 6.4762, + "loss/crossentropy": 1.8167235553264618, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.13989761099219322, + "step": 2968 + }, + { + "epoch": 0.49483333333333335, + "grad_norm": 21.5, + "grad_norm_var": 1.6400390625, + "learning_rate": 5.0837718843449075e-05, + "loss": 6.5146, + "loss/crossentropy": 2.44907546043396, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1746988706290722, + "step": 2969 + }, + { + "epoch": 0.495, + "grad_norm": 22.875, + "grad_norm_var": 1.6400390625, + "learning_rate": 5.081154246576454e-05, + "loss": 6.6011, + "loss/crossentropy": 1.7855549156665802, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.14990919083356857, + "step": 2970 + }, + { + "epoch": 0.49516666666666664, + "grad_norm": 23.375, + "grad_norm_var": 1.6708333333333334, + "learning_rate": 5.078536586559104e-05, + "loss": 6.8312, + "loss/crossentropy": 2.364464223384857, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.16787287965416908, + "step": 2971 + }, + { + "epoch": 0.49533333333333335, + "grad_norm": 24.5, + "grad_norm_var": 1.6749348958333334, + "learning_rate": 5.075918905010504e-05, + "loss": 6.5625, + "loss/crossentropy": 1.7803495228290558, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.146189346909523, + "step": 2972 + }, + { + "epoch": 0.4955, + "grad_norm": 23.75, + "grad_norm_var": 1.6869140625, + "learning_rate": 5.073301202648304e-05, + "loss": 6.6778, + "loss/crossentropy": 1.7680272459983826, + "loss/hidden": 3.0078125, + "loss/jsd": 0.0, + "loss/logits": 0.12936689518392086, + "step": 2973 + }, + { + "epoch": 0.49566666666666664, + "grad_norm": 24.25, + "grad_norm_var": 1.66640625, + "learning_rate": 5.070683480190165e-05, + "loss": 6.6132, + "loss/crossentropy": 2.1107197403907776, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.15744246914982796, + "step": 2974 + }, + { + "epoch": 0.49583333333333335, + "grad_norm": 23.875, + "grad_norm_var": 1.6113932291666666, + "learning_rate": 5.068065738353748e-05, + "loss": 6.8365, + "loss/crossentropy": 1.897877812385559, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.15607687458395958, + "step": 2975 + }, + { + "epoch": 0.496, + "grad_norm": 22.75, + "grad_norm_var": 1.4400390625, + "learning_rate": 5.0654479778567223e-05, + "loss": 6.7533, + "loss/crossentropy": 2.1157260835170746, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16621459275484085, + "step": 2976 + }, + { + "epoch": 0.49616666666666664, + "grad_norm": 24.375, + "grad_norm_var": 1.0629557291666667, + "learning_rate": 5.062830199416764e-05, + "loss": 6.6691, + "loss/crossentropy": 2.1065858006477356, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17678572237491608, + "step": 2977 + }, + { + "epoch": 0.49633333333333335, + "grad_norm": 25.75, + "grad_norm_var": 1.2608723958333334, + "learning_rate": 5.0602124037515496e-05, + "loss": 6.8329, + "loss/crossentropy": 1.7386919111013412, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18808173015713692, + "step": 2978 + }, + { + "epoch": 0.4965, + "grad_norm": 23.625, + "grad_norm_var": 1.0712890625, + "learning_rate": 5.0575945915787616e-05, + "loss": 6.5159, + "loss/crossentropy": 1.9041981995105743, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.13787201046943665, + "step": 2979 + }, + { + "epoch": 0.49666666666666665, + "grad_norm": 24.0, + "grad_norm_var": 1.06875, + "learning_rate": 5.0549767636160915e-05, + "loss": 6.8359, + "loss/crossentropy": 1.7790982127189636, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.16093312948942184, + "step": 2980 + }, + { + "epoch": 0.49683333333333335, + "grad_norm": 23.0, + "grad_norm_var": 1.0559895833333333, + "learning_rate": 5.052358920581229e-05, + "loss": 6.4554, + "loss/crossentropy": 1.7815388888120651, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.12900200299918652, + "step": 2981 + }, + { + "epoch": 0.497, + "grad_norm": 2885681152.0, + "grad_norm_var": 5.204472233831607e+17, + "learning_rate": 5.049741063191873e-05, + "loss": 7.8836, + "loss/crossentropy": 1.584987536072731, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.1621185578405857, + "step": 2982 + }, + { + "epoch": 0.49716666666666665, + "grad_norm": 26.375, + "grad_norm_var": 5.2044722330200096e+17, + "learning_rate": 5.047123192165721e-05, + "loss": 6.9136, + "loss/crossentropy": 1.7607214003801346, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.14688734337687492, + "step": 2983 + }, + { + "epoch": 0.49733333333333335, + "grad_norm": 23.625, + "grad_norm_var": 5.2044722333807194e+17, + "learning_rate": 5.0445053082204785e-05, + "loss": 6.5982, + "loss/crossentropy": 1.810672789812088, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1527699176222086, + "step": 2984 + }, + { + "epoch": 0.4975, + "grad_norm": 22.625, + "grad_norm_var": 5.204472233110187e+17, + "learning_rate": 5.041887412073854e-05, + "loss": 6.4272, + "loss/crossentropy": 1.8717373311519623, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.14486817456781864, + "step": 2985 + }, + { + "epoch": 0.49766666666666665, + "grad_norm": 24.125, + "grad_norm_var": 5.2044722328095955e+17, + "learning_rate": 5.039269504443557e-05, + "loss": 6.6425, + "loss/crossentropy": 2.1645229160785675, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1563902348279953, + "step": 2986 + }, + { + "epoch": 0.49783333333333335, + "grad_norm": 24.25, + "grad_norm_var": 5.204472232599181e+17, + "learning_rate": 5.036651586047303e-05, + "loss": 6.8465, + "loss/crossentropy": 1.833576887845993, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1797294318675995, + "step": 2987 + }, + { + "epoch": 0.498, + "grad_norm": 23.5, + "grad_norm_var": 5.2044722328396544e+17, + "learning_rate": 5.034033657602809e-05, + "loss": 6.7951, + "loss/crossentropy": 2.415023148059845, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.1623871624469757, + "step": 2988 + }, + { + "epoch": 0.49816666666666665, + "grad_norm": 24.625, + "grad_norm_var": 5.20447223262924e+17, + "learning_rate": 5.0314157198277954e-05, + "loss": 6.4993, + "loss/crossentropy": 1.9061563313007355, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1645951122045517, + "step": 2989 + }, + { + "epoch": 0.49833333333333335, + "grad_norm": 23.75, + "grad_norm_var": 5.204472232749477e+17, + "learning_rate": 5.028797773439984e-05, + "loss": 6.412, + "loss/crossentropy": 1.5089070200920105, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.14413194358348846, + "step": 2990 + }, + { + "epoch": 0.4985, + "grad_norm": 24.0, + "grad_norm_var": 5.2044722327194176e+17, + "learning_rate": 5.026179819157098e-05, + "loss": 6.8027, + "loss/crossentropy": 1.8388128876686096, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1795506775379181, + "step": 2991 + }, + { + "epoch": 0.49866666666666665, + "grad_norm": 24.375, + "grad_norm_var": 5.2044722323286483e+17, + "learning_rate": 5.023561857696867e-05, + "loss": 6.7102, + "loss/crossentropy": 1.4706624001264572, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.16939092427492142, + "step": 2992 + }, + { + "epoch": 0.49883333333333335, + "grad_norm": 23.625, + "grad_norm_var": 5.2044722325090035e+17, + "learning_rate": 5.02094388977702e-05, + "loss": 6.5504, + "loss/crossentropy": 2.017220377922058, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.165359728038311, + "step": 2993 + }, + { + "epoch": 0.499, + "grad_norm": 25.0, + "grad_norm_var": 5.204472232689359e+17, + "learning_rate": 5.018325916115286e-05, + "loss": 6.5858, + "loss/crossentropy": 1.8112316727638245, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.14865361526608467, + "step": 2994 + }, + { + "epoch": 0.49916666666666665, + "grad_norm": 25.5, + "grad_norm_var": 5.204472232238471e+17, + "learning_rate": 5.0157079374293983e-05, + "loss": 6.8513, + "loss/crossentropy": 1.802750140428543, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.2143147736787796, + "step": 2995 + }, + { + "epoch": 0.49933333333333335, + "grad_norm": 26.375, + "grad_norm_var": 5.2044722316673466e+17, + "learning_rate": 5.013089954437091e-05, + "loss": 6.9628, + "loss/crossentropy": 2.0125335454940796, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.1520889848470688, + "step": 2996 + }, + { + "epoch": 0.4995, + "grad_norm": 24.5, + "grad_norm_var": 5.204472231306636e+17, + "learning_rate": 5.010471967856096e-05, + "loss": 6.8149, + "loss/crossentropy": 1.7024456560611725, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.1294842902570963, + "step": 2997 + }, + { + "epoch": 0.49966666666666665, + "grad_norm": 24.0, + "grad_norm_var": 1.02890625, + "learning_rate": 5.0078539784041545e-05, + "loss": 6.5369, + "loss/crossentropy": 1.9443423748016357, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.169816754758358, + "step": 2998 + }, + { + "epoch": 0.49983333333333335, + "grad_norm": 25.25, + "grad_norm_var": 0.8103515625, + "learning_rate": 5.005235986799001e-05, + "loss": 7.0175, + "loss/crossentropy": 1.9665260314941406, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.1359392050653696, + "step": 2999 + }, + { + "epoch": 0.5, + "grad_norm": 24.625, + "grad_norm_var": 0.7801432291666667, + "learning_rate": 5.0026179937583685e-05, + "loss": 6.8729, + "loss/crossentropy": 1.5995900332927704, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.23893634043633938, + "step": 3000 + }, + { + "epoch": 0.5001666666666666, + "grad_norm": 24.125, + "grad_norm_var": 0.5692057291666667, + "learning_rate": 5e-05, + "loss": 6.7327, + "loss/crossentropy": 1.742641806602478, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.15528737381100655, + "step": 3001 + }, + { + "epoch": 0.5003333333333333, + "grad_norm": 24.25, + "grad_norm_var": 0.5643229166666667, + "learning_rate": 4.997382006241632e-05, + "loss": 6.5756, + "loss/crossentropy": 1.7405716627836227, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.17063657194375992, + "step": 3002 + }, + { + "epoch": 0.5005, + "grad_norm": 26.875, + "grad_norm_var": 0.9129557291666667, + "learning_rate": 4.9947640132010016e-05, + "loss": 6.7563, + "loss/crossentropy": 2.027206629514694, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1824581827968359, + "step": 3003 + }, + { + "epoch": 0.5006666666666667, + "grad_norm": 23.5, + "grad_norm_var": 0.9129557291666667, + "learning_rate": 4.992146021595847e-05, + "loss": 6.7381, + "loss/crossentropy": 1.7858694791793823, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.14544253051280975, + "step": 3004 + }, + { + "epoch": 0.5008333333333334, + "grad_norm": 24.125, + "grad_norm_var": 0.9301432291666667, + "learning_rate": 4.989528032143903e-05, + "loss": 6.8199, + "loss/crossentropy": 1.996783971786499, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.17532551288604736, + "step": 3005 + }, + { + "epoch": 0.501, + "grad_norm": 23.75, + "grad_norm_var": 0.9301432291666667, + "learning_rate": 4.9869100455629105e-05, + "loss": 6.5832, + "loss/crossentropy": 2.3587594628334045, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.17413900792598724, + "step": 3006 + }, + { + "epoch": 0.5011666666666666, + "grad_norm": 22.875, + "grad_norm_var": 1.1018229166666667, + "learning_rate": 4.984292062570602e-05, + "loss": 6.3252, + "loss/crossentropy": 2.093390315771103, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.15289996191859245, + "step": 3007 + }, + { + "epoch": 0.5013333333333333, + "grad_norm": 24.75, + "grad_norm_var": 1.1020182291666667, + "learning_rate": 4.981674083884715e-05, + "loss": 6.9887, + "loss/crossentropy": 2.300984025001526, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1614687256515026, + "step": 3008 + }, + { + "epoch": 0.5015, + "grad_norm": 22.25, + "grad_norm_var": 1.3934895833333334, + "learning_rate": 4.979056110222981e-05, + "loss": 6.5149, + "loss/crossentropy": 1.477491781115532, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.1204543374478817, + "step": 3009 + }, + { + "epoch": 0.5016666666666667, + "grad_norm": 23.125, + "grad_norm_var": 1.4843098958333334, + "learning_rate": 4.9764381423031336e-05, + "loss": 6.6735, + "loss/crossentropy": 1.795864462852478, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.15199957974255085, + "step": 3010 + }, + { + "epoch": 0.5018333333333334, + "grad_norm": 25.625, + "grad_norm_var": 1.5041666666666667, + "learning_rate": 4.973820180842902e-05, + "loss": 6.4851, + "loss/crossentropy": 1.8723109364509583, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1654412429779768, + "step": 3011 + }, + { + "epoch": 0.502, + "grad_norm": 25.375, + "grad_norm_var": 1.3, + "learning_rate": 4.971202226560017e-05, + "loss": 6.6667, + "loss/crossentropy": 1.611899808049202, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.14067493565380573, + "step": 3012 + }, + { + "epoch": 0.5021666666666667, + "grad_norm": 22.25, + "grad_norm_var": 1.56015625, + "learning_rate": 4.968584280172206e-05, + "loss": 6.3582, + "loss/crossentropy": 1.7671700716018677, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.13475832529366016, + "step": 3013 + }, + { + "epoch": 0.5023333333333333, + "grad_norm": 23.25, + "grad_norm_var": 1.6125, + "learning_rate": 4.9659663423971913e-05, + "loss": 6.7437, + "loss/crossentropy": 1.4474530518054962, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.15441321209073067, + "step": 3014 + }, + { + "epoch": 0.5025, + "grad_norm": 22.375, + "grad_norm_var": 1.6978515625, + "learning_rate": 4.9633484139526975e-05, + "loss": 6.7452, + "loss/crossentropy": 1.6570370495319366, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.162528021261096, + "step": 3015 + }, + { + "epoch": 0.5026666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.715625, + "learning_rate": 4.960730495556446e-05, + "loss": 6.5255, + "loss/crossentropy": 1.6651344150304794, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.1410306841135025, + "step": 3016 + }, + { + "epoch": 0.5028333333333334, + "grad_norm": 24.25, + "grad_norm_var": 1.7212890625, + "learning_rate": 4.958112587926147e-05, + "loss": 6.6479, + "loss/crossentropy": 1.8381950855255127, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1512853316962719, + "step": 3017 + }, + { + "epoch": 0.503, + "grad_norm": 26.875, + "grad_norm_var": 2.29140625, + "learning_rate": 4.955494691779522e-05, + "loss": 6.7056, + "loss/crossentropy": 1.5043356865644455, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18815934285521507, + "step": 3018 + }, + { + "epoch": 0.5031666666666667, + "grad_norm": 24.75, + "grad_norm_var": 1.7634765625, + "learning_rate": 4.95287680783428e-05, + "loss": 6.654, + "loss/crossentropy": 1.6493389010429382, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.16704564914107323, + "step": 3019 + }, + { + "epoch": 0.5033333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.7603515625, + "learning_rate": 4.9502589368081284e-05, + "loss": 6.4884, + "loss/crossentropy": 1.6026508510112762, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.15810610353946686, + "step": 3020 + }, + { + "epoch": 0.5035, + "grad_norm": 23.875, + "grad_norm_var": 1.7577473958333334, + "learning_rate": 4.947641079418773e-05, + "loss": 6.6718, + "loss/crossentropy": 1.772462010383606, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.14370683953166008, + "step": 3021 + }, + { + "epoch": 0.5036666666666667, + "grad_norm": 24.25, + "grad_norm_var": 1.7624348958333333, + "learning_rate": 4.94502323638391e-05, + "loss": 6.7535, + "loss/crossentropy": 2.07700714468956, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.18295448273420334, + "step": 3022 + }, + { + "epoch": 0.5038333333333334, + "grad_norm": 22.25, + "grad_norm_var": 1.8760416666666666, + "learning_rate": 4.9424054084212376e-05, + "loss": 6.7579, + "loss/crossentropy": 2.2002697587013245, + "loss/hidden": 2.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.13167477026581764, + "step": 3023 + }, + { + "epoch": 0.504, + "grad_norm": 23.25, + "grad_norm_var": 1.8479166666666667, + "learning_rate": 4.9397875962484516e-05, + "loss": 6.666, + "loss/crossentropy": 1.606006145477295, + "loss/hidden": 3.6875, + "loss/jsd": 0.0, + "loss/logits": 0.27873029187321663, + "step": 3024 + }, + { + "epoch": 0.5041666666666667, + "grad_norm": 23.375, + "grad_norm_var": 1.6926432291666667, + "learning_rate": 4.9371698005832365e-05, + "loss": 6.298, + "loss/crossentropy": 1.559142678976059, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.11335902102291584, + "step": 3025 + }, + { + "epoch": 0.5043333333333333, + "grad_norm": 25.125, + "grad_norm_var": 1.7405598958333333, + "learning_rate": 4.934552022143279e-05, + "loss": 6.751, + "loss/crossentropy": 2.449582815170288, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.17378640547394753, + "step": 3026 + }, + { + "epoch": 0.5045, + "grad_norm": 23.75, + "grad_norm_var": 1.5559895833333333, + "learning_rate": 4.9319342616462545e-05, + "loss": 6.7442, + "loss/crossentropy": 1.9054401218891144, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.17070777714252472, + "step": 3027 + }, + { + "epoch": 0.5046666666666667, + "grad_norm": 24.75, + "grad_norm_var": 1.4567057291666667, + "learning_rate": 4.9293165198098376e-05, + "loss": 6.6522, + "loss/crossentropy": 1.9122866094112396, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1559305116534233, + "step": 3028 + }, + { + "epoch": 0.5048333333333334, + "grad_norm": 24.0, + "grad_norm_var": 1.2744140625, + "learning_rate": 4.926698797351697e-05, + "loss": 6.7371, + "loss/crossentropy": 1.9305293560028076, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1595340557396412, + "step": 3029 + }, + { + "epoch": 0.505, + "grad_norm": 23.5, + "grad_norm_var": 1.2546223958333333, + "learning_rate": 4.9240810949894974e-05, + "loss": 6.7056, + "loss/crossentropy": 1.6259409189224243, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14500325173139572, + "step": 3030 + }, + { + "epoch": 0.5051666666666667, + "grad_norm": 24.5, + "grad_norm_var": 1.0830729166666666, + "learning_rate": 4.921463413440898e-05, + "loss": 6.5131, + "loss/crossentropy": 2.121107578277588, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.17702732235193253, + "step": 3031 + }, + { + "epoch": 0.5053333333333333, + "grad_norm": 24.125, + "grad_norm_var": 0.9957682291666666, + "learning_rate": 4.918845753423548e-05, + "loss": 6.8777, + "loss/crossentropy": 2.115865647792816, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.22665033861994743, + "step": 3032 + }, + { + "epoch": 0.5055, + "grad_norm": 24.375, + "grad_norm_var": 0.9979166666666667, + "learning_rate": 4.916228115655094e-05, + "loss": 6.6019, + "loss/crossentropy": 2.290705054998398, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.1630551815032959, + "step": 3033 + }, + { + "epoch": 0.5056666666666667, + "grad_norm": 22.125, + "grad_norm_var": 0.7059895833333333, + "learning_rate": 4.913610500853178e-05, + "loss": 6.7105, + "loss/crossentropy": 1.9174838662147522, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.13577900640666485, + "step": 3034 + }, + { + "epoch": 0.5058333333333334, + "grad_norm": 23.5, + "grad_norm_var": 0.6604166666666667, + "learning_rate": 4.9109929097354316e-05, + "loss": 6.8922, + "loss/crossentropy": 1.925671249628067, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.16267403215169907, + "step": 3035 + }, + { + "epoch": 0.506, + "grad_norm": 25.0, + "grad_norm_var": 0.7393229166666667, + "learning_rate": 4.9083753430194865e-05, + "loss": 6.827, + "loss/crossentropy": 2.2236935198307037, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.16020403988659382, + "step": 3036 + }, + { + "epoch": 0.5061666666666667, + "grad_norm": 23.5, + "grad_norm_var": 0.7473307291666667, + "learning_rate": 4.90575780142296e-05, + "loss": 6.7776, + "loss/crossentropy": 2.0731040835380554, + "loss/hidden": 2.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.15171794593334198, + "step": 3037 + }, + { + "epoch": 0.5063333333333333, + "grad_norm": 23.5, + "grad_norm_var": 0.7410807291666667, + "learning_rate": 4.903140285663467e-05, + "loss": 6.6066, + "loss/crossentropy": 2.354133188724518, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.16365443542599678, + "step": 3038 + }, + { + "epoch": 0.5065, + "grad_norm": 23.25, + "grad_norm_var": 0.5983723958333333, + "learning_rate": 4.900522796458613e-05, + "loss": 6.719, + "loss/crossentropy": 1.4085330963134766, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.13892485573887825, + "step": 3039 + }, + { + "epoch": 0.5066666666666667, + "grad_norm": 24.375, + "grad_norm_var": 0.5872395833333334, + "learning_rate": 4.897905334525999e-05, + "loss": 6.6034, + "loss/crossentropy": 1.9416171312332153, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1481153853237629, + "step": 3040 + }, + { + "epoch": 0.5068333333333334, + "grad_norm": 24.125, + "grad_norm_var": 0.5677083333333334, + "learning_rate": 4.895287900583216e-05, + "loss": 6.7748, + "loss/crossentropy": 2.1339505314826965, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14868640154600143, + "step": 3041 + }, + { + "epoch": 0.507, + "grad_norm": 24.0, + "grad_norm_var": 0.47337239583333335, + "learning_rate": 4.892670495347849e-05, + "loss": 6.7924, + "loss/crossentropy": 1.9005618393421173, + "loss/hidden": 2.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.15481198579072952, + "step": 3042 + }, + { + "epoch": 0.5071666666666667, + "grad_norm": 23.25, + "grad_norm_var": 0.4988932291666667, + "learning_rate": 4.890053119537475e-05, + "loss": 6.9843, + "loss/crossentropy": 2.2674025297164917, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.1353318803012371, + "step": 3043 + }, + { + "epoch": 0.5073333333333333, + "grad_norm": 23.875, + "grad_norm_var": 0.44375, + "learning_rate": 4.887435773869662e-05, + "loss": 6.4278, + "loss/crossentropy": 2.0698181092739105, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.1418379321694374, + "step": 3044 + }, + { + "epoch": 0.5075, + "grad_norm": 23.25, + "grad_norm_var": 0.46015625, + "learning_rate": 4.88481845906197e-05, + "loss": 6.5098, + "loss/crossentropy": 2.026048958301544, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1645804475992918, + "step": 3045 + }, + { + "epoch": 0.5076666666666667, + "grad_norm": 24.625, + "grad_norm_var": 0.4994140625, + "learning_rate": 4.8822011758319505e-05, + "loss": 6.7571, + "loss/crossentropy": 2.210369795560837, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.15099697932600975, + "step": 3046 + }, + { + "epoch": 0.5078333333333334, + "grad_norm": 25.75, + "grad_norm_var": 0.7077473958333333, + "learning_rate": 4.879583924897146e-05, + "loss": 6.567, + "loss/crossentropy": 2.0660789012908936, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.2301507331430912, + "step": 3047 + }, + { + "epoch": 0.508, + "grad_norm": 24.75, + "grad_norm_var": 0.7497395833333333, + "learning_rate": 4.876966706975092e-05, + "loss": 6.7179, + "loss/crossentropy": 1.7394681721925735, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15303453244268894, + "step": 3048 + }, + { + "epoch": 0.5081666666666667, + "grad_norm": 23.75, + "grad_norm_var": 0.7389973958333333, + "learning_rate": 4.874349522783313e-05, + "loss": 6.6228, + "loss/crossentropy": 1.9093514382839203, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.13836795091629028, + "step": 3049 + }, + { + "epoch": 0.5083333333333333, + "grad_norm": 23.5, + "grad_norm_var": 0.5291666666666667, + "learning_rate": 4.8717323730393256e-05, + "loss": 6.8238, + "loss/crossentropy": 2.315953552722931, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.18431329354643822, + "step": 3050 + }, + { + "epoch": 0.5085, + "grad_norm": 24.125, + "grad_norm_var": 0.5119140625, + "learning_rate": 4.869115258460635e-05, + "loss": 6.6896, + "loss/crossentropy": 2.095088630914688, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15577196329832077, + "step": 3051 + }, + { + "epoch": 0.5086666666666667, + "grad_norm": 28.0, + "grad_norm_var": 1.4587890625, + "learning_rate": 4.866498179764739e-05, + "loss": 6.5292, + "loss/crossentropy": 1.9549607932567596, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.14426850154995918, + "step": 3052 + }, + { + "epoch": 0.5088333333333334, + "grad_norm": 24.25, + "grad_norm_var": 1.4212890625, + "learning_rate": 4.863881137669123e-05, + "loss": 6.8212, + "loss/crossentropy": 1.7448627650737762, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.13117350451648235, + "step": 3053 + }, + { + "epoch": 0.509, + "grad_norm": 24.0, + "grad_norm_var": 1.3853515625, + "learning_rate": 4.861264132891266e-05, + "loss": 6.6806, + "loss/crossentropy": 2.3411950170993805, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.22420402988791466, + "step": 3054 + }, + { + "epoch": 0.5091666666666667, + "grad_norm": 23.25, + "grad_norm_var": 1.3853515625, + "learning_rate": 4.858647166148634e-05, + "loss": 6.786, + "loss/crossentropy": 2.2930236756801605, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.17451775819063187, + "step": 3055 + }, + { + "epoch": 0.5093333333333333, + "grad_norm": 23.875, + "grad_norm_var": 1.3962890625, + "learning_rate": 4.8560302381586834e-05, + "loss": 6.7187, + "loss/crossentropy": 1.6545470058918, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.14105368591845036, + "step": 3056 + }, + { + "epoch": 0.5095, + "grad_norm": 25.0, + "grad_norm_var": 1.4268229166666666, + "learning_rate": 4.853413349638859e-05, + "loss": 6.8565, + "loss/crossentropy": 2.153700351715088, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16153252497315407, + "step": 3057 + }, + { + "epoch": 0.5096666666666667, + "grad_norm": 23.875, + "grad_norm_var": 1.4332682291666667, + "learning_rate": 4.8507965013065966e-05, + "loss": 6.6964, + "loss/crossentropy": 2.1484064757823944, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.15235411562025547, + "step": 3058 + }, + { + "epoch": 0.5098333333333334, + "grad_norm": 24.375, + "grad_norm_var": 1.3518229166666667, + "learning_rate": 4.848179693879318e-05, + "loss": 6.7656, + "loss/crossentropy": 1.8960525691509247, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14549360610544682, + "step": 3059 + }, + { + "epoch": 0.51, + "grad_norm": 24.375, + "grad_norm_var": 1.3330729166666666, + "learning_rate": 4.845562928074439e-05, + "loss": 6.8364, + "loss/crossentropy": 1.5777699053287506, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.1835155487060547, + "step": 3060 + }, + { + "epoch": 0.5101666666666667, + "grad_norm": 25.25, + "grad_norm_var": 1.2705729166666666, + "learning_rate": 4.8429462046093585e-05, + "loss": 6.5067, + "loss/crossentropy": 1.6053463965654373, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.14623566158115864, + "step": 3061 + }, + { + "epoch": 0.5103333333333333, + "grad_norm": 22.875, + "grad_norm_var": 1.44375, + "learning_rate": 4.840329524201467e-05, + "loss": 6.6679, + "loss/crossentropy": 1.7853446006774902, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.15145274996757507, + "step": 3062 + }, + { + "epoch": 0.5105, + "grad_norm": 24.375, + "grad_norm_var": 1.3212890625, + "learning_rate": 4.837712887568143e-05, + "loss": 6.6944, + "loss/crossentropy": 2.1546795666217804, + "loss/hidden": 2.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.1461404375731945, + "step": 3063 + }, + { + "epoch": 0.5106666666666667, + "grad_norm": 23.625, + "grad_norm_var": 1.340625, + "learning_rate": 4.83509629542675e-05, + "loss": 6.6954, + "loss/crossentropy": 2.0743204057216644, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.17959418147802353, + "step": 3064 + }, + { + "epoch": 0.5108333333333334, + "grad_norm": 24.75, + "grad_norm_var": 1.3322916666666667, + "learning_rate": 4.832479748494643e-05, + "loss": 6.3424, + "loss/crossentropy": 1.929205447435379, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14558880776166916, + "step": 3065 + }, + { + "epoch": 0.511, + "grad_norm": 25.375, + "grad_norm_var": 1.3410807291666667, + "learning_rate": 4.8298632474891624e-05, + "loss": 6.8093, + "loss/crossentropy": 1.7471389472484589, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1746426485478878, + "step": 3066 + }, + { + "epoch": 0.5111666666666667, + "grad_norm": 24.625, + "grad_norm_var": 1.3343098958333333, + "learning_rate": 4.827246793127639e-05, + "loss": 6.6114, + "loss/crossentropy": 2.1639128923416138, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.1677798256278038, + "step": 3067 + }, + { + "epoch": 0.5113333333333333, + "grad_norm": 25.75, + "grad_norm_var": 0.5983723958333333, + "learning_rate": 4.824630386127386e-05, + "loss": 6.7649, + "loss/crossentropy": 1.6159256100654602, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1395193599164486, + "step": 3068 + }, + { + "epoch": 0.5115, + "grad_norm": 22.5, + "grad_norm_var": 0.8134765625, + "learning_rate": 4.822014027205708e-05, + "loss": 6.754, + "loss/crossentropy": 1.720528095960617, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14435759745538235, + "step": 3069 + }, + { + "epoch": 0.5116666666666667, + "grad_norm": 23.875, + "grad_norm_var": 0.8184895833333333, + "learning_rate": 4.8193977170798946e-05, + "loss": 6.4027, + "loss/crossentropy": 1.7303378582000732, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.14015356078743935, + "step": 3070 + }, + { + "epoch": 0.5118333333333334, + "grad_norm": 23.75, + "grad_norm_var": 0.7684895833333333, + "learning_rate": 4.816781456467218e-05, + "loss": 6.8526, + "loss/crossentropy": 1.8552019000053406, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.14411017298698425, + "step": 3071 + }, + { + "epoch": 0.512, + "grad_norm": 22.75, + "grad_norm_var": 0.9061848958333333, + "learning_rate": 4.8141652460849467e-05, + "loss": 6.6154, + "loss/crossentropy": 1.870889276266098, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.1787266656756401, + "step": 3072 + }, + { + "epoch": 0.5121666666666667, + "grad_norm": 23.25, + "grad_norm_var": 0.9098307291666666, + "learning_rate": 4.811549086650327e-05, + "loss": 6.6645, + "loss/crossentropy": 2.1478465795516968, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.18297109007835388, + "step": 3073 + }, + { + "epoch": 0.5123333333333333, + "grad_norm": 23.75, + "grad_norm_var": 0.9143229166666667, + "learning_rate": 4.8089329788805944e-05, + "loss": 6.6224, + "loss/crossentropy": 1.926946073770523, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.19388285465538502, + "step": 3074 + }, + { + "epoch": 0.5125, + "grad_norm": 22.5, + "grad_norm_var": 1.0598307291666667, + "learning_rate": 4.8063169234929703e-05, + "loss": 6.4912, + "loss/crossentropy": 1.8070638626813889, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.1292734071612358, + "step": 3075 + }, + { + "epoch": 0.5126666666666667, + "grad_norm": 23.75, + "grad_norm_var": 1.0497395833333334, + "learning_rate": 4.8037009212046586e-05, + "loss": 6.7314, + "loss/crossentropy": 2.2879035472869873, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17410686239600182, + "step": 3076 + }, + { + "epoch": 0.5128333333333334, + "grad_norm": 26.375, + "grad_norm_var": 1.3280598958333334, + "learning_rate": 4.801084972732851e-05, + "loss": 6.5321, + "loss/crossentropy": 1.5850356072187424, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.15490093640983105, + "step": 3077 + }, + { + "epoch": 0.513, + "grad_norm": 22.625, + "grad_norm_var": 1.3692057291666666, + "learning_rate": 4.798469078794728e-05, + "loss": 6.64, + "loss/crossentropy": 1.8571848571300507, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.13376378268003464, + "step": 3078 + }, + { + "epoch": 0.5131666666666667, + "grad_norm": 22.875, + "grad_norm_var": 1.4301432291666667, + "learning_rate": 4.7958532401074504e-05, + "loss": 6.8444, + "loss/crossentropy": 2.139720231294632, + "loss/hidden": 3.0078125, + "loss/jsd": 0.0, + "loss/logits": 0.14613772928714752, + "step": 3079 + }, + { + "epoch": 0.5133333333333333, + "grad_norm": 23.375, + "grad_norm_var": 1.4426432291666667, + "learning_rate": 4.793237457388166e-05, + "loss": 6.8508, + "loss/crossentropy": 2.002539813518524, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.16089173033833504, + "step": 3080 + }, + { + "epoch": 0.5135, + "grad_norm": 23.5, + "grad_norm_var": 1.3931640625, + "learning_rate": 4.790621731354003e-05, + "loss": 6.4871, + "loss/crossentropy": 1.5417775511741638, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15126041695475578, + "step": 3081 + }, + { + "epoch": 0.5136666666666667, + "grad_norm": 22.375, + "grad_norm_var": 1.3212890625, + "learning_rate": 4.788006062722081e-05, + "loss": 6.4372, + "loss/crossentropy": 1.9264707267284393, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.12784723564982414, + "step": 3082 + }, + { + "epoch": 0.5138333333333334, + "grad_norm": 23.625, + "grad_norm_var": 1.2473307291666667, + "learning_rate": 4.7853904522094965e-05, + "loss": 6.7953, + "loss/crossentropy": 1.612056314945221, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.18259859085083008, + "step": 3083 + }, + { + "epoch": 0.514, + "grad_norm": 23.625, + "grad_norm_var": 0.903125, + "learning_rate": 4.78277490053334e-05, + "loss": 6.75, + "loss/crossentropy": 1.422394648194313, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16815629601478577, + "step": 3084 + }, + { + "epoch": 0.5141666666666667, + "grad_norm": 23.25, + "grad_norm_var": 0.84765625, + "learning_rate": 4.7801594084106763e-05, + "loss": 6.687, + "loss/crossentropy": 1.9956713914871216, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.13797958940267563, + "step": 3085 + }, + { + "epoch": 0.5143333333333333, + "grad_norm": 24.625, + "grad_norm_var": 0.925, + "learning_rate": 4.777543976558557e-05, + "loss": 6.7967, + "loss/crossentropy": 2.0227846205234528, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.1422901637852192, + "step": 3086 + }, + { + "epoch": 0.5145, + "grad_norm": 22.5, + "grad_norm_var": 0.9809895833333333, + "learning_rate": 4.7749286056940186e-05, + "loss": 6.4988, + "loss/crossentropy": 1.8864739537239075, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.15784097090363503, + "step": 3087 + }, + { + "epoch": 0.5146666666666667, + "grad_norm": 21.5, + "grad_norm_var": 1.190625, + "learning_rate": 4.772313296534079e-05, + "loss": 6.5417, + "loss/crossentropy": 1.6876507699489594, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.18224774673581123, + "step": 3088 + }, + { + "epoch": 0.5148333333333334, + "grad_norm": 23.375, + "grad_norm_var": 1.1900390625, + "learning_rate": 4.769698049795738e-05, + "loss": 6.5866, + "loss/crossentropy": 1.882669448852539, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.1555003747344017, + "step": 3089 + }, + { + "epoch": 0.515, + "grad_norm": 23.0, + "grad_norm_var": 1.1853515625, + "learning_rate": 4.7670828661959854e-05, + "loss": 6.8511, + "loss/crossentropy": 2.3153041303157806, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.16036658361554146, + "step": 3090 + }, + { + "epoch": 0.5151666666666667, + "grad_norm": 21.625, + "grad_norm_var": 1.3270833333333334, + "learning_rate": 4.7644677464517874e-05, + "loss": 6.6576, + "loss/crossentropy": 2.2090296149253845, + "loss/hidden": 2.9296875, + "loss/jsd": 0.0, + "loss/logits": 0.1347016952931881, + "step": 3091 + }, + { + "epoch": 0.5153333333333333, + "grad_norm": 24.875, + "grad_norm_var": 1.4811848958333333, + "learning_rate": 4.761852691280092e-05, + "loss": 6.6335, + "loss/crossentropy": 1.8568347692489624, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19292975589632988, + "step": 3092 + }, + { + "epoch": 0.5155, + "grad_norm": 22.875, + "grad_norm_var": 0.8212890625, + "learning_rate": 4.7592377013978306e-05, + "loss": 6.3568, + "loss/crossentropy": 1.979345440864563, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.1492128800600767, + "step": 3093 + }, + { + "epoch": 0.5156666666666667, + "grad_norm": 26.5, + "grad_norm_var": 1.5135416666666666, + "learning_rate": 4.756622777521919e-05, + "loss": 6.9492, + "loss/crossentropy": 1.8218547403812408, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15138742700219154, + "step": 3094 + }, + { + "epoch": 0.5158333333333334, + "grad_norm": 24.5, + "grad_norm_var": 1.5770182291666666, + "learning_rate": 4.7540079203692516e-05, + "loss": 6.5904, + "loss/crossentropy": 1.9104430675506592, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1612174678593874, + "step": 3095 + }, + { + "epoch": 0.516, + "grad_norm": 22.0, + "grad_norm_var": 1.7080729166666666, + "learning_rate": 4.751393130656711e-05, + "loss": 6.6065, + "loss/crossentropy": 1.957541674375534, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.13915689289569855, + "step": 3096 + }, + { + "epoch": 0.5161666666666667, + "grad_norm": 24.25, + "grad_norm_var": 1.7572916666666667, + "learning_rate": 4.748778409101153e-05, + "loss": 6.4793, + "loss/crossentropy": 1.6212330013513565, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.17582814022898674, + "step": 3097 + }, + { + "epoch": 0.5163333333333333, + "grad_norm": 24.5, + "grad_norm_var": 1.7473307291666667, + "learning_rate": 4.7461637564194187e-05, + "loss": 6.6705, + "loss/crossentropy": 1.7277653217315674, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.15496546030044556, + "step": 3098 + }, + { + "epoch": 0.5165, + "grad_norm": 23.25, + "grad_norm_var": 1.7518229166666666, + "learning_rate": 4.74354917332833e-05, + "loss": 6.5549, + "loss/crossentropy": 1.5380173921585083, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15158621594309807, + "step": 3099 + }, + { + "epoch": 0.5166666666666667, + "grad_norm": 25.125, + "grad_norm_var": 1.9143229166666667, + "learning_rate": 4.74093466054469e-05, + "loss": 6.5985, + "loss/crossentropy": 1.6276301741600037, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.154615830630064, + "step": 3100 + }, + { + "epoch": 0.5168333333333334, + "grad_norm": 25.625, + "grad_norm_var": 2.153059895833333, + "learning_rate": 4.738320218785281e-05, + "loss": 6.4273, + "loss/crossentropy": 2.548264801502228, + "loss/hidden": 2.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.15629303455352783, + "step": 3101 + }, + { + "epoch": 0.517, + "grad_norm": 25.125, + "grad_norm_var": 2.2264973958333334, + "learning_rate": 4.7357058487668695e-05, + "loss": 6.9674, + "loss/crossentropy": 2.3003925681114197, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.19527990743517876, + "step": 3102 + }, + { + "epoch": 0.5171666666666667, + "grad_norm": 23.25, + "grad_norm_var": 2.1327473958333334, + "learning_rate": 4.7330915512061976e-05, + "loss": 6.6279, + "loss/crossentropy": 1.6746337860822678, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.13082032836973667, + "step": 3103 + }, + { + "epoch": 0.5173333333333333, + "grad_norm": 22.375, + "grad_norm_var": 1.9080729166666666, + "learning_rate": 4.730477326819992e-05, + "loss": 6.595, + "loss/crossentropy": 1.828912615776062, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1667390614748001, + "step": 3104 + }, + { + "epoch": 0.5175, + "grad_norm": 25.5, + "grad_norm_var": 2.044205729166667, + "learning_rate": 4.7278631763249554e-05, + "loss": 6.9091, + "loss/crossentropy": 2.0107376277446747, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.19703762233257294, + "step": 3105 + }, + { + "epoch": 0.5176666666666667, + "grad_norm": 23.875, + "grad_norm_var": 1.97265625, + "learning_rate": 4.725249100437773e-05, + "loss": 6.4714, + "loss/crossentropy": 1.5871292054653168, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1611347310245037, + "step": 3106 + }, + { + "epoch": 0.5178333333333334, + "grad_norm": 26.75, + "grad_norm_var": 1.9379557291666667, + "learning_rate": 4.722635099875106e-05, + "loss": 6.8536, + "loss/crossentropy": 2.1303829550743103, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.17189103737473488, + "step": 3107 + }, + { + "epoch": 0.518, + "grad_norm": 23.375, + "grad_norm_var": 1.9832682291666666, + "learning_rate": 4.7200211753536e-05, + "loss": 6.3428, + "loss/crossentropy": 1.5136753618717194, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.10957067459821701, + "step": 3108 + }, + { + "epoch": 0.5181666666666667, + "grad_norm": 21.375, + "grad_norm_var": 2.4098307291666665, + "learning_rate": 4.7174073275898776e-05, + "loss": 6.2874, + "loss/crossentropy": 1.8876293003559113, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.1528126746416092, + "step": 3109 + }, + { + "epoch": 0.5183333333333333, + "grad_norm": 25.5, + "grad_norm_var": 2.167122395833333, + "learning_rate": 4.7147935573005394e-05, + "loss": 6.5661, + "loss/crossentropy": 2.148589611053467, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.16607968881726265, + "step": 3110 + }, + { + "epoch": 0.5185, + "grad_norm": 23.375, + "grad_norm_var": 2.193489583333333, + "learning_rate": 4.7121798652021644e-05, + "loss": 6.8674, + "loss/crossentropy": 2.1436582505702972, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15828249603509903, + "step": 3111 + }, + { + "epoch": 0.5186666666666667, + "grad_norm": 22.75, + "grad_norm_var": 2.0208333333333335, + "learning_rate": 4.7095662520113114e-05, + "loss": 6.4837, + "loss/crossentropy": 2.324390232563019, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.17779120057821274, + "step": 3112 + }, + { + "epoch": 0.5188333333333334, + "grad_norm": 24.5, + "grad_norm_var": 2.02890625, + "learning_rate": 4.706952718444517e-05, + "loss": 6.7709, + "loss/crossentropy": 2.0706577599048615, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.15493814647197723, + "step": 3113 + }, + { + "epoch": 0.519, + "grad_norm": 23.0, + "grad_norm_var": 2.09765625, + "learning_rate": 4.704339265218298e-05, + "loss": 6.7702, + "loss/crossentropy": 2.106967270374298, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.15672878175973892, + "step": 3114 + }, + { + "epoch": 0.5191666666666667, + "grad_norm": 24.625, + "grad_norm_var": 2.0697265625, + "learning_rate": 4.701725893049147e-05, + "loss": 6.6356, + "loss/crossentropy": 2.0191410183906555, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.14936934038996696, + "step": 3115 + }, + { + "epoch": 0.5193333333333333, + "grad_norm": 21.875, + "grad_norm_var": 2.299934895833333, + "learning_rate": 4.699112602653533e-05, + "loss": 6.6656, + "loss/crossentropy": 1.8336855471134186, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.17394833266735077, + "step": 3116 + }, + { + "epoch": 0.5195, + "grad_norm": 23.125, + "grad_norm_var": 2.1254557291666667, + "learning_rate": 4.696499394747906e-05, + "loss": 6.5734, + "loss/crossentropy": 2.096279889345169, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1523728035390377, + "step": 3117 + }, + { + "epoch": 0.5196666666666667, + "grad_norm": 24.875, + "grad_norm_var": 2.0843098958333335, + "learning_rate": 4.693886270048691e-05, + "loss": 6.7421, + "loss/crossentropy": 1.6201659142971039, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.17312045954167843, + "step": 3118 + }, + { + "epoch": 0.5198333333333334, + "grad_norm": 21.875, + "grad_norm_var": 2.2955729166666665, + "learning_rate": 4.691273229272291e-05, + "loss": 6.511, + "loss/crossentropy": 1.7285209000110626, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.14911362156271935, + "step": 3119 + }, + { + "epoch": 0.52, + "grad_norm": 24.0, + "grad_norm_var": 2.1796223958333334, + "learning_rate": 4.688660273135086e-05, + "loss": 6.479, + "loss/crossentropy": 1.2269825637340546, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16829843632876873, + "step": 3120 + }, + { + "epoch": 0.5201666666666667, + "grad_norm": 24.5, + "grad_norm_var": 2.0119140625, + "learning_rate": 4.6860474023534335e-05, + "loss": 6.6407, + "loss/crossentropy": 1.8361583352088928, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.1429484710097313, + "step": 3121 + }, + { + "epoch": 0.5203333333333333, + "grad_norm": 23.625, + "grad_norm_var": 2.0103515625, + "learning_rate": 4.6834346176436664e-05, + "loss": 6.8309, + "loss/crossentropy": 2.0610638111829758, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.1469095405191183, + "step": 3122 + }, + { + "epoch": 0.5205, + "grad_norm": 23.375, + "grad_norm_var": 1.34765625, + "learning_rate": 4.680821919722094e-05, + "loss": 6.7231, + "loss/crossentropy": 2.1038003265857697, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15278984978795052, + "step": 3123 + }, + { + "epoch": 0.5206666666666667, + "grad_norm": 25.625, + "grad_norm_var": 1.63125, + "learning_rate": 4.678209309305002e-05, + "loss": 6.784, + "loss/crossentropy": 1.7175090610980988, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17958497256040573, + "step": 3124 + }, + { + "epoch": 0.5208333333333334, + "grad_norm": 24.0, + "grad_norm_var": 1.2744140625, + "learning_rate": 4.675596787108653e-05, + "loss": 6.4429, + "loss/crossentropy": 1.7295505702495575, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.14746689423918724, + "step": 3125 + }, + { + "epoch": 0.521, + "grad_norm": 22.25, + "grad_norm_var": 1.1931640625, + "learning_rate": 4.6729843538492847e-05, + "loss": 6.6759, + "loss/crossentropy": 2.0992920994758606, + "loss/hidden": 2.921875, + "loss/jsd": 0.0, + "loss/logits": 0.1338479146361351, + "step": 3126 + }, + { + "epoch": 0.5211666666666667, + "grad_norm": 23.125, + "grad_norm_var": 1.2041015625, + "learning_rate": 4.670372010243111e-05, + "loss": 6.3225, + "loss/crossentropy": 1.3403033316135406, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.191372474655509, + "step": 3127 + }, + { + "epoch": 0.5213333333333333, + "grad_norm": 24.375, + "grad_norm_var": 1.19140625, + "learning_rate": 4.6677597570063196e-05, + "loss": 6.8556, + "loss/crossentropy": 1.4942644834518433, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.14015319384634495, + "step": 3128 + }, + { + "epoch": 0.5215, + "grad_norm": 22.625, + "grad_norm_var": 1.2041015625, + "learning_rate": 4.665147594855076e-05, + "loss": 6.4273, + "loss/crossentropy": 1.9889589548110962, + "loss/hidden": 2.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.14794771373271942, + "step": 3129 + }, + { + "epoch": 0.5216666666666666, + "grad_norm": 23.625, + "grad_norm_var": 1.1822916666666667, + "learning_rate": 4.662535524505519e-05, + "loss": 6.5316, + "loss/crossentropy": 1.8075372129678726, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.14406820014119148, + "step": 3130 + }, + { + "epoch": 0.5218333333333334, + "grad_norm": 23.625, + "grad_norm_var": 1.1072916666666666, + "learning_rate": 4.659923546673761e-05, + "loss": 6.4452, + "loss/crossentropy": 1.8177174031734467, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.13548163883388042, + "step": 3131 + }, + { + "epoch": 0.522, + "grad_norm": 23.75, + "grad_norm_var": 0.9129557291666667, + "learning_rate": 4.657311662075889e-05, + "loss": 6.6734, + "loss/crossentropy": 2.027587056159973, + "loss/hidden": 2.95703125, + "loss/jsd": 0.0, + "loss/logits": 0.16872309148311615, + "step": 3132 + }, + { + "epoch": 0.5221666666666667, + "grad_norm": 23.875, + "grad_norm_var": 0.8957682291666667, + "learning_rate": 4.654699871427971e-05, + "loss": 6.6323, + "loss/crossentropy": 2.0970528423786163, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.14638448134064674, + "step": 3133 + }, + { + "epoch": 0.5223333333333333, + "grad_norm": 3489660928.0, + "grad_norm_var": 7.61108326723844e+17, + "learning_rate": 4.652088175446041e-05, + "loss": 8.0412, + "loss/crossentropy": 1.9167824983596802, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1980358585715294, + "step": 3134 + }, + { + "epoch": 0.5225, + "grad_norm": 25.25, + "grad_norm_var": 7.611083266256973e+17, + "learning_rate": 4.6494765748461126e-05, + "loss": 6.7072, + "loss/crossentropy": 1.877681851387024, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.158394955098629, + "step": 3135 + }, + { + "epoch": 0.5226666666666666, + "grad_norm": 23.25, + "grad_norm_var": 7.611083266475077e+17, + "learning_rate": 4.646865070344168e-05, + "loss": 6.5316, + "loss/crossentropy": 1.4072348475456238, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1642090156674385, + "step": 3136 + }, + { + "epoch": 0.5228333333333334, + "grad_norm": 24.875, + "grad_norm_var": 7.611083266366025e+17, + "learning_rate": 4.6442536626561675e-05, + "loss": 6.9096, + "loss/crossentropy": 1.9727106094360352, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.22848282009363174, + "step": 3137 + }, + { + "epoch": 0.523, + "grad_norm": 28.75, + "grad_norm_var": 7.611083264875649e+17, + "learning_rate": 4.6416423524980404e-05, + "loss": 6.7913, + "loss/crossentropy": 1.761616975069046, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.14762058667838573, + "step": 3138 + }, + { + "epoch": 0.5231666666666667, + "grad_norm": 24.0, + "grad_norm_var": 7.611083264693896e+17, + "learning_rate": 4.639031140585697e-05, + "loss": 6.5937, + "loss/crossentropy": 2.2737808227539062, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.18769355863332748, + "step": 3139 + }, + { + "epoch": 0.5233333333333333, + "grad_norm": 4110417920.0, + "grad_norm_var": 1.6975462428645873e+18, + "learning_rate": 4.636420027635014e-05, + "loss": 7.3372, + "loss/crossentropy": 1.9331761300563812, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.18856794759631157, + "step": 3140 + }, + { + "epoch": 0.5235, + "grad_norm": 24.0, + "grad_norm_var": 1.6975462428645873e+18, + "learning_rate": 4.633809014361843e-05, + "loss": 6.5787, + "loss/crossentropy": 1.8616025745868683, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.15534008294343948, + "step": 3141 + }, + { + "epoch": 0.5236666666666666, + "grad_norm": 23.375, + "grad_norm_var": 1.6975462427933366e+18, + "learning_rate": 4.631198101482007e-05, + "loss": 6.6172, + "loss/crossentropy": 1.8282561302185059, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.17140125297009945, + "step": 3142 + }, + { + "epoch": 0.5238333333333334, + "grad_norm": 25.375, + "grad_norm_var": 1.6975462426508352e+18, + "learning_rate": 4.6285872897113025e-05, + "loss": 6.6191, + "loss/crossentropy": 1.8533451855182648, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.16595427319407463, + "step": 3143 + }, + { + "epoch": 0.524, + "grad_norm": 24.375, + "grad_norm_var": 1.6975462426508352e+18, + "learning_rate": 4.625976579765497e-05, + "loss": 6.7971, + "loss/crossentropy": 1.723539024591446, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.17727971263229847, + "step": 3144 + }, + { + "epoch": 0.5241666666666667, + "grad_norm": 23.75, + "grad_norm_var": 1.6975462425795845e+18, + "learning_rate": 4.623365972360337e-05, + "loss": 6.7655, + "loss/crossentropy": 2.2272435426712036, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.15325088798999786, + "step": 3145 + }, + { + "epoch": 0.5243333333333333, + "grad_norm": 24.5, + "grad_norm_var": 1.6975462425241672e+18, + "learning_rate": 4.620755468211531e-05, + "loss": 6.6314, + "loss/crossentropy": 1.881942093372345, + "loss/hidden": 3.0078125, + "loss/jsd": 0.0, + "loss/logits": 0.14660022407770157, + "step": 3146 + }, + { + "epoch": 0.5245, + "grad_norm": 23.875, + "grad_norm_var": 1.6975462425083336e+18, + "learning_rate": 4.618145068034764e-05, + "loss": 6.6553, + "loss/crossentropy": 1.8521571457386017, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.13107704184949398, + "step": 3147 + }, + { + "epoch": 0.5246666666666666, + "grad_norm": 24.625, + "grad_norm_var": 1.6975462424529165e+18, + "learning_rate": 4.615534772545692e-05, + "loss": 6.7502, + "loss/crossentropy": 2.130684271454811, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14916305802762508, + "step": 3148 + }, + { + "epoch": 0.5248333333333334, + "grad_norm": 22.875, + "grad_norm_var": 1.6975462425162504e+18, + "learning_rate": 4.6129245824599424e-05, + "loss": 6.71, + "loss/crossentropy": 2.647638201713562, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.18653175979852676, + "step": 3149 + }, + { + "epoch": 0.525, + "grad_norm": 23.625, + "grad_norm_var": 1.0559709547621691e+18, + "learning_rate": 4.6103144984931134e-05, + "loss": 6.7253, + "loss/crossentropy": 2.4249369502067566, + "loss/hidden": 2.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.13969184458255768, + "step": 3150 + }, + { + "epoch": 0.5251666666666667, + "grad_norm": 23.25, + "grad_norm_var": 1.055970954830676e+18, + "learning_rate": 4.607704521360776e-05, + "loss": 6.5061, + "loss/crossentropy": 1.7785013765096664, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.14977119117975235, + "step": 3151 + }, + { + "epoch": 0.5253333333333333, + "grad_norm": 22.75, + "grad_norm_var": 1.0559709548478028e+18, + "learning_rate": 4.605094651778469e-05, + "loss": 6.4909, + "loss/crossentropy": 1.8968045711517334, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.1411351952701807, + "step": 3152 + }, + { + "epoch": 0.5255, + "grad_norm": 23.25, + "grad_norm_var": 1.0559709549034647e+18, + "learning_rate": 4.602484890461702e-05, + "loss": 6.7764, + "loss/crossentropy": 1.9050641357898712, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1588999629020691, + "step": 3153 + }, + { + "epoch": 0.5256666666666666, + "grad_norm": 23.75, + "grad_norm_var": 1.055970955074732e+18, + "learning_rate": 4.599875238125957e-05, + "loss": 6.3179, + "loss/crossentropy": 2.019211918115616, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15747136436402798, + "step": 3154 + }, + { + "epoch": 0.5258333333333334, + "grad_norm": 23.25, + "grad_norm_var": 1.0559709551004221e+18, + "learning_rate": 4.5972656954866856e-05, + "loss": 6.9049, + "loss/crossentropy": 2.559466600418091, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.16115346550941467, + "step": 3155 + }, + { + "epoch": 0.526, + "grad_norm": 24.625, + "grad_norm_var": 0.5184895833333333, + "learning_rate": 4.5946562632593066e-05, + "loss": 6.6482, + "loss/crossentropy": 1.5830736458301544, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.15543251484632492, + "step": 3156 + }, + { + "epoch": 0.5261666666666667, + "grad_norm": 23.5, + "grad_norm_var": 0.52265625, + "learning_rate": 4.592046942159213e-05, + "loss": 6.4098, + "loss/crossentropy": 1.6171381175518036, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.16557344794273376, + "step": 3157 + }, + { + "epoch": 0.5263333333333333, + "grad_norm": 23.75, + "grad_norm_var": 0.5103515625, + "learning_rate": 4.589437732901763e-05, + "loss": 6.6021, + "loss/crossentropy": 2.071421444416046, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.15030203387141228, + "step": 3158 + }, + { + "epoch": 0.5265, + "grad_norm": 23.375, + "grad_norm_var": 0.34576822916666666, + "learning_rate": 4.586828636202288e-05, + "loss": 6.8559, + "loss/crossentropy": 2.3831170797348022, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.17944316565990448, + "step": 3159 + }, + { + "epoch": 0.5266666666666666, + "grad_norm": 23.25, + "grad_norm_var": 0.3229166666666667, + "learning_rate": 4.5842196527760854e-05, + "loss": 6.8763, + "loss/crossentropy": 2.0340896546840668, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.15050728432834148, + "step": 3160 + }, + { + "epoch": 0.5268333333333334, + "grad_norm": 26.5, + "grad_norm_var": 0.84140625, + "learning_rate": 4.5816107833384234e-05, + "loss": 6.9478, + "loss/crossentropy": 1.8396387100219727, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1795561984181404, + "step": 3161 + }, + { + "epoch": 0.527, + "grad_norm": 23.75, + "grad_norm_var": 0.80625, + "learning_rate": 4.579002028604537e-05, + "loss": 6.8928, + "loss/crossentropy": 2.09211403131485, + "loss/hidden": 2.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.14162148907780647, + "step": 3162 + }, + { + "epoch": 0.5271666666666667, + "grad_norm": 23.625, + "grad_norm_var": 0.8059895833333334, + "learning_rate": 4.576393389289633e-05, + "loss": 6.6483, + "loss/crossentropy": 1.6890718340873718, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.143101554363966, + "step": 3163 + }, + { + "epoch": 0.5273333333333333, + "grad_norm": 24.0, + "grad_norm_var": 0.7561848958333334, + "learning_rate": 4.573784866108884e-05, + "loss": 7.0037, + "loss/crossentropy": 2.159123033285141, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.16705282405018806, + "step": 3164 + }, + { + "epoch": 0.5275, + "grad_norm": 24.625, + "grad_norm_var": 0.7561848958333334, + "learning_rate": 4.571176459777431e-05, + "loss": 6.491, + "loss/crossentropy": 2.068053901195526, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.14222474209964275, + "step": 3165 + }, + { + "epoch": 0.5276666666666666, + "grad_norm": 23.75, + "grad_norm_var": 0.7541666666666667, + "learning_rate": 4.568568171010384e-05, + "loss": 6.5904, + "loss/crossentropy": 2.010478049516678, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.13895930722355843, + "step": 3166 + }, + { + "epoch": 0.5278333333333334, + "grad_norm": 23.5, + "grad_norm_var": 0.7393229166666667, + "learning_rate": 4.565960000522819e-05, + "loss": 6.7049, + "loss/crossentropy": 1.8703652024269104, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.1761411726474762, + "step": 3167 + }, + { + "epoch": 0.528, + "grad_norm": 24.125, + "grad_norm_var": 0.6598307291666666, + "learning_rate": 4.563351949029781e-05, + "loss": 6.7739, + "loss/crossentropy": 1.7979310005903244, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14475084468722343, + "step": 3168 + }, + { + "epoch": 0.5281666666666667, + "grad_norm": 22.625, + "grad_norm_var": 0.7395833333333334, + "learning_rate": 4.560744017246284e-05, + "loss": 6.6378, + "loss/crossentropy": 2.0911899507045746, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.16943716630339622, + "step": 3169 + }, + { + "epoch": 0.5283333333333333, + "grad_norm": 25.5, + "grad_norm_var": 0.9018229166666667, + "learning_rate": 4.558136205887306e-05, + "loss": 6.946, + "loss/crossentropy": 1.91404190659523, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.20393763855099678, + "step": 3170 + }, + { + "epoch": 0.5285, + "grad_norm": 24.375, + "grad_norm_var": 0.8707682291666666, + "learning_rate": 4.555528515667793e-05, + "loss": 6.8068, + "loss/crossentropy": 2.667674422264099, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.15065648034214973, + "step": 3171 + }, + { + "epoch": 0.5286666666666666, + "grad_norm": 23.375, + "grad_norm_var": 0.8733723958333334, + "learning_rate": 4.552920947302658e-05, + "loss": 6.59, + "loss/crossentropy": 2.1527541279792786, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1504414863884449, + "step": 3172 + }, + { + "epoch": 0.5288333333333334, + "grad_norm": 24.375, + "grad_norm_var": 0.865625, + "learning_rate": 4.550313501506781e-05, + "loss": 6.7262, + "loss/crossentropy": 2.3395442962646484, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16419397667050362, + "step": 3173 + }, + { + "epoch": 0.529, + "grad_norm": 23.125, + "grad_norm_var": 0.9134765625, + "learning_rate": 4.547706178995007e-05, + "loss": 6.6596, + "loss/crossentropy": 1.8454709649085999, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.15504372864961624, + "step": 3174 + }, + { + "epoch": 0.5291666666666667, + "grad_norm": 22.0, + "grad_norm_var": 1.1447916666666667, + "learning_rate": 4.5450989804821506e-05, + "loss": 6.5025, + "loss/crossentropy": 2.199508100748062, + "loss/hidden": 2.875, + "loss/jsd": 0.0, + "loss/logits": 0.13137865625321865, + "step": 3175 + }, + { + "epoch": 0.5293333333333333, + "grad_norm": 21.875, + "grad_norm_var": 1.3832682291666667, + "learning_rate": 4.542491906682989e-05, + "loss": 6.5781, + "loss/crossentropy": 1.8064587861299515, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.1817715335637331, + "step": 3176 + }, + { + "epoch": 0.5295, + "grad_norm": 25.0, + "grad_norm_var": 0.9879557291666666, + "learning_rate": 4.539884958312265e-05, + "loss": 6.8099, + "loss/crossentropy": 1.611564964056015, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.13106167316436768, + "step": 3177 + }, + { + "epoch": 0.5296666666666666, + "grad_norm": 32.25, + "grad_norm_var": 5.530143229166667, + "learning_rate": 4.537278136084689e-05, + "loss": 6.6287, + "loss/crossentropy": 1.513309970498085, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.13493525236845016, + "step": 3178 + }, + { + "epoch": 0.5298333333333334, + "grad_norm": 25.0, + "grad_norm_var": 5.532291666666667, + "learning_rate": 4.534671440714938e-05, + "loss": 6.8505, + "loss/crossentropy": 1.9138778150081635, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.160044364631176, + "step": 3179 + }, + { + "epoch": 0.53, + "grad_norm": 23.5, + "grad_norm_var": 5.570833333333334, + "learning_rate": 4.532064872917647e-05, + "loss": 6.7906, + "loss/crossentropy": 2.3124726116657257, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.14243154786527157, + "step": 3180 + }, + { + "epoch": 0.5301666666666667, + "grad_norm": 22.75, + "grad_norm_var": 5.712434895833334, + "learning_rate": 4.529458433407429e-05, + "loss": 6.7129, + "loss/crossentropy": 2.280455470085144, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.17545154318213463, + "step": 3181 + }, + { + "epoch": 0.5303333333333333, + "grad_norm": 24.5, + "grad_norm_var": 5.703059895833333, + "learning_rate": 4.526852122898848e-05, + "loss": 6.8219, + "loss/crossentropy": 2.0848167836666107, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.13345365040004253, + "step": 3182 + }, + { + "epoch": 0.5305, + "grad_norm": 25.0, + "grad_norm_var": 5.695247395833333, + "learning_rate": 4.524245942106442e-05, + "loss": 6.3354, + "loss/crossentropy": 2.0764654874801636, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.15820587053894997, + "step": 3183 + }, + { + "epoch": 0.5306666666666666, + "grad_norm": 22.625, + "grad_norm_var": 5.878059895833333, + "learning_rate": 4.52163989174471e-05, + "loss": 6.6641, + "loss/crossentropy": 1.9897716641426086, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18676253780722618, + "step": 3184 + }, + { + "epoch": 0.5308333333333334, + "grad_norm": 24.125, + "grad_norm_var": 5.695247395833333, + "learning_rate": 4.5190339725281136e-05, + "loss": 6.5532, + "loss/crossentropy": 1.4316177815198898, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17225218564271927, + "step": 3185 + }, + { + "epoch": 0.531, + "grad_norm": 22.0, + "grad_norm_var": 5.917643229166667, + "learning_rate": 4.516428185171079e-05, + "loss": 6.6623, + "loss/crossentropy": 2.0357375144958496, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.14149123802781105, + "step": 3186 + }, + { + "epoch": 0.5311666666666667, + "grad_norm": 22.75, + "grad_norm_var": 6.026822916666666, + "learning_rate": 4.513822530388003e-05, + "loss": 6.6576, + "loss/crossentropy": 1.7669075280427933, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.1428518034517765, + "step": 3187 + }, + { + "epoch": 0.5313333333333333, + "grad_norm": 25.875, + "grad_norm_var": 6.20390625, + "learning_rate": 4.511217008893237e-05, + "loss": 6.6814, + "loss/crossentropy": 2.110143721103668, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17458846792578697, + "step": 3188 + }, + { + "epoch": 0.5315, + "grad_norm": 22.25, + "grad_norm_var": 6.428580729166667, + "learning_rate": 4.508611621401102e-05, + "loss": 6.2955, + "loss/crossentropy": 1.4243806451559067, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.12901754677295685, + "step": 3189 + }, + { + "epoch": 0.5316666666666666, + "grad_norm": 24.875, + "grad_norm_var": 6.406705729166666, + "learning_rate": 4.5060063686258767e-05, + "loss": 6.5471, + "loss/crossentropy": 1.7492476105690002, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1621650643646717, + "step": 3190 + }, + { + "epoch": 0.5318333333333334, + "grad_norm": 23.375, + "grad_norm_var": 6.130989583333333, + "learning_rate": 4.503401251281806e-05, + "loss": 6.6627, + "loss/crossentropy": 2.171135365962982, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.17323995009064674, + "step": 3191 + }, + { + "epoch": 0.532, + "grad_norm": 22.875, + "grad_norm_var": 5.87890625, + "learning_rate": 4.500796270083098e-05, + "loss": 6.6818, + "loss/crossentropy": 2.072538524866104, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1530821267515421, + "step": 3192 + }, + { + "epoch": 0.5321666666666667, + "grad_norm": 22.375, + "grad_norm_var": 6.0634765625, + "learning_rate": 4.498191425743925e-05, + "loss": 6.7883, + "loss/crossentropy": 1.6651292443275452, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.1400641519576311, + "step": 3193 + }, + { + "epoch": 0.5323333333333333, + "grad_norm": 22.75, + "grad_norm_var": 1.4223307291666667, + "learning_rate": 4.49558671897842e-05, + "loss": 6.6043, + "loss/crossentropy": 2.061777502298355, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.16048555821180344, + "step": 3194 + }, + { + "epoch": 0.5325, + "grad_norm": 22.375, + "grad_norm_var": 1.3416666666666666, + "learning_rate": 4.4929821505006764e-05, + "loss": 6.675, + "loss/crossentropy": 1.7397379577159882, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.1793411262333393, + "step": 3195 + }, + { + "epoch": 0.5326666666666666, + "grad_norm": 22.75, + "grad_norm_var": 1.3643229166666666, + "learning_rate": 4.490377721024751e-05, + "loss": 6.6862, + "loss/crossentropy": 2.1863308250904083, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15812548995018005, + "step": 3196 + }, + { + "epoch": 0.5328333333333334, + "grad_norm": 23.25, + "grad_norm_var": 1.34140625, + "learning_rate": 4.487773431264664e-05, + "loss": 6.7554, + "loss/crossentropy": 2.059173345565796, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.16811923682689667, + "step": 3197 + }, + { + "epoch": 0.533, + "grad_norm": 23.625, + "grad_norm_var": 1.2561848958333333, + "learning_rate": 4.4851692819343936e-05, + "loss": 6.691, + "loss/crossentropy": 1.9161694645881653, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1369189154356718, + "step": 3198 + }, + { + "epoch": 0.5331666666666667, + "grad_norm": 21.5, + "grad_norm_var": 1.2306640625, + "learning_rate": 4.482565273747888e-05, + "loss": 6.4411, + "loss/crossentropy": 2.488943636417389, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.18147236853837967, + "step": 3199 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 22.625, + "grad_norm_var": 1.2306640625, + "learning_rate": 4.479961407419046e-05, + "loss": 6.655, + "loss/crossentropy": 1.871408849954605, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.17261022701859474, + "step": 3200 + }, + { + "epoch": 0.5335, + "grad_norm": 23.0, + "grad_norm_var": 1.15390625, + "learning_rate": 4.477357683661734e-05, + "loss": 6.614, + "loss/crossentropy": 2.1596679091453552, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1515268161892891, + "step": 3201 + }, + { + "epoch": 0.5336666666666666, + "grad_norm": 22.25, + "grad_norm_var": 1.1239583333333334, + "learning_rate": 4.474754103189777e-05, + "loss": 6.4661, + "loss/crossentropy": 2.3624836802482605, + "loss/hidden": 2.953125, + "loss/jsd": 0.0, + "loss/logits": 0.14483764581382275, + "step": 3202 + }, + { + "epoch": 0.5338333333333334, + "grad_norm": 23.5, + "grad_norm_var": 1.1309895833333334, + "learning_rate": 4.472150666716961e-05, + "loss": 6.705, + "loss/crossentropy": 2.2337640821933746, + "loss/hidden": 2.921875, + "loss/jsd": 0.0, + "loss/logits": 0.14973511919379234, + "step": 3203 + }, + { + "epoch": 0.534, + "grad_norm": 33.5, + "grad_norm_var": 7.608268229166667, + "learning_rate": 4.4695473749570326e-05, + "loss": 6.7536, + "loss/crossentropy": 1.848718672990799, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1472205687314272, + "step": 3204 + }, + { + "epoch": 0.5341666666666667, + "grad_norm": 27.875, + "grad_norm_var": 8.607291666666667, + "learning_rate": 4.466944228623701e-05, + "loss": 6.7736, + "loss/crossentropy": 2.205274075269699, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.14448253065347672, + "step": 3205 + }, + { + "epoch": 0.5343333333333333, + "grad_norm": 25.25, + "grad_norm_var": 8.664518229166667, + "learning_rate": 4.4643412284306324e-05, + "loss": 6.6749, + "loss/crossentropy": 1.8048591017723083, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.16825787723064423, + "step": 3206 + }, + { + "epoch": 0.5345, + "grad_norm": 22.75, + "grad_norm_var": 8.73515625, + "learning_rate": 4.461738375091454e-05, + "loss": 6.4902, + "loss/crossentropy": 1.4650568664073944, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.14607630111277103, + "step": 3207 + }, + { + "epoch": 0.5346666666666666, + "grad_norm": 22.625, + "grad_norm_var": 8.772916666666667, + "learning_rate": 4.459135669319753e-05, + "loss": 6.6359, + "loss/crossentropy": 2.260100841522217, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.16093070432543755, + "step": 3208 + }, + { + "epoch": 0.5348333333333334, + "grad_norm": 22.625, + "grad_norm_var": 8.726822916666666, + "learning_rate": 4.4565331118290756e-05, + "loss": 6.2669, + "loss/crossentropy": 2.3742251992225647, + "loss/hidden": 2.90625, + "loss/jsd": 0.0, + "loss/logits": 0.1600184328854084, + "step": 3209 + }, + { + "epoch": 0.535, + "grad_norm": 24.75, + "grad_norm_var": 8.67265625, + "learning_rate": 4.453930703332927e-05, + "loss": 6.6695, + "loss/crossentropy": 1.5902049243450165, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1669841054826975, + "step": 3210 + }, + { + "epoch": 0.5351666666666667, + "grad_norm": 24.0, + "grad_norm_var": 8.4822265625, + "learning_rate": 4.451328444544774e-05, + "loss": 6.4283, + "loss/crossentropy": 1.6046341955661774, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.14836223237216473, + "step": 3211 + }, + { + "epoch": 0.5353333333333333, + "grad_norm": 22.375, + "grad_norm_var": 8.559375, + "learning_rate": 4.44872633617804e-05, + "loss": 6.7402, + "loss/crossentropy": 2.2665777504444122, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17643385380506516, + "step": 3212 + }, + { + "epoch": 0.5355, + "grad_norm": 23.625, + "grad_norm_var": 8.5259765625, + "learning_rate": 4.446124378946107e-05, + "loss": 6.5756, + "loss/crossentropy": 2.3522274494171143, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.13671689294278622, + "step": 3213 + }, + { + "epoch": 0.5356666666666666, + "grad_norm": 24.75, + "grad_norm_var": 8.53125, + "learning_rate": 4.443522573562318e-05, + "loss": 6.5384, + "loss/crossentropy": 1.460032433271408, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17387250065803528, + "step": 3214 + }, + { + "epoch": 0.5358333333333334, + "grad_norm": 24.25, + "grad_norm_var": 8.018489583333333, + "learning_rate": 4.44092092073997e-05, + "loss": 6.3516, + "loss/crossentropy": 1.6705322265625, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.14027390256524086, + "step": 3215 + }, + { + "epoch": 0.536, + "grad_norm": 21.625, + "grad_norm_var": 8.312239583333334, + "learning_rate": 4.438319421192322e-05, + "loss": 6.6198, + "loss/crossentropy": 2.4305317997932434, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1646934412419796, + "step": 3216 + }, + { + "epoch": 0.5361666666666667, + "grad_norm": 23.25, + "grad_norm_var": 8.272916666666667, + "learning_rate": 4.435718075632592e-05, + "loss": 6.4519, + "loss/crossentropy": 1.6712012737989426, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.1502775475382805, + "step": 3217 + }, + { + "epoch": 0.5363333333333333, + "grad_norm": 23.375, + "grad_norm_var": 8.042643229166666, + "learning_rate": 4.4331168847739514e-05, + "loss": 6.6731, + "loss/crossentropy": 1.8683601468801498, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.1440573614090681, + "step": 3218 + }, + { + "epoch": 0.5365, + "grad_norm": 21.75, + "grad_norm_var": 8.4400390625, + "learning_rate": 4.4305158493295315e-05, + "loss": 6.5791, + "loss/crossentropy": 1.3674817830324173, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.18658732622861862, + "step": 3219 + }, + { + "epoch": 0.5366666666666666, + "grad_norm": 27.0, + "grad_norm_var": 3.0843098958333335, + "learning_rate": 4.427914970012422e-05, + "loss": 6.6793, + "loss/crossentropy": 1.6779171824455261, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.16982607915997505, + "step": 3220 + }, + { + "epoch": 0.5368333333333334, + "grad_norm": 22.875, + "grad_norm_var": 1.9749348958333333, + "learning_rate": 4.425314247535668e-05, + "loss": 6.5254, + "loss/crossentropy": 1.5771731287240982, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.18173417635262012, + "step": 3221 + }, + { + "epoch": 0.537, + "grad_norm": 24.375, + "grad_norm_var": 1.825, + "learning_rate": 4.422713682612271e-05, + "loss": 6.7519, + "loss/crossentropy": 1.8382703363895416, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.1981072537600994, + "step": 3222 + }, + { + "epoch": 0.5371666666666667, + "grad_norm": 22.375, + "grad_norm_var": 1.8712890625, + "learning_rate": 4.4201132759551934e-05, + "loss": 6.6572, + "loss/crossentropy": 1.6506782472133636, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1434093490242958, + "step": 3223 + }, + { + "epoch": 0.5373333333333333, + "grad_norm": 23.5, + "grad_norm_var": 1.8197916666666667, + "learning_rate": 4.41751302827735e-05, + "loss": 6.565, + "loss/crossentropy": 2.0198956429958344, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.15416083484888077, + "step": 3224 + }, + { + "epoch": 0.5375, + "grad_norm": 22.875, + "grad_norm_var": 1.7934895833333333, + "learning_rate": 4.414912940291613e-05, + "loss": 6.6531, + "loss/crossentropy": 2.2487598955631256, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.1468476578593254, + "step": 3225 + }, + { + "epoch": 0.5376666666666666, + "grad_norm": 23.25, + "grad_norm_var": 1.6934895833333334, + "learning_rate": 4.412313012710813e-05, + "loss": 6.6118, + "loss/crossentropy": 1.8157823085784912, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16123579069972038, + "step": 3226 + }, + { + "epoch": 0.5378333333333334, + "grad_norm": 22.125, + "grad_norm_var": 1.7764973958333334, + "learning_rate": 4.409713246247732e-05, + "loss": 6.474, + "loss/crossentropy": 1.6791092306375504, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.12660356983542442, + "step": 3227 + }, + { + "epoch": 0.538, + "grad_norm": 22.75, + "grad_norm_var": 1.7372395833333334, + "learning_rate": 4.407113641615112e-05, + "loss": 6.5805, + "loss/crossentropy": 2.025501072406769, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15181923657655716, + "step": 3228 + }, + { + "epoch": 0.5381666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.7395182291666667, + "learning_rate": 4.404514199525651e-05, + "loss": 6.4346, + "loss/crossentropy": 1.4135650396347046, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.1316130980849266, + "step": 3229 + }, + { + "epoch": 0.5383333333333333, + "grad_norm": 22.75, + "grad_norm_var": 1.6082682291666666, + "learning_rate": 4.401914920692e-05, + "loss": 6.7017, + "loss/crossentropy": 1.498219981789589, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.14568184688687325, + "step": 3230 + }, + { + "epoch": 0.5385, + "grad_norm": 24.25, + "grad_norm_var": 1.6082682291666666, + "learning_rate": 4.399315805826765e-05, + "loss": 6.4824, + "loss/crossentropy": 1.4222733676433563, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1520357709378004, + "step": 3231 + }, + { + "epoch": 0.5386666666666666, + "grad_norm": 25.0, + "grad_norm_var": 1.6135416666666667, + "learning_rate": 4.3967168556425085e-05, + "loss": 6.4528, + "loss/crossentropy": 2.302658200263977, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1655016578733921, + "step": 3232 + }, + { + "epoch": 0.5388333333333334, + "grad_norm": 22.25, + "grad_norm_var": 1.696875, + "learning_rate": 4.394118070851749e-05, + "loss": 6.6511, + "loss/crossentropy": 2.086086928844452, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.15679723024368286, + "step": 3233 + }, + { + "epoch": 0.539, + "grad_norm": 26.125, + "grad_norm_var": 2.1809895833333335, + "learning_rate": 4.3915194521669526e-05, + "loss": 6.5064, + "loss/crossentropy": 1.5305136293172836, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15267189219594002, + "step": 3234 + }, + { + "epoch": 0.5391666666666667, + "grad_norm": 22.75, + "grad_norm_var": 2.008072916666667, + "learning_rate": 4.3889210003005524e-05, + "loss": 6.5193, + "loss/crossentropy": 2.0430581867694855, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.1461903713643551, + "step": 3235 + }, + { + "epoch": 0.5393333333333333, + "grad_norm": 24.125, + "grad_norm_var": 1.2129557291666666, + "learning_rate": 4.3863227159649255e-05, + "loss": 6.7826, + "loss/crossentropy": 2.0705305337905884, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.16718657687306404, + "step": 3236 + }, + { + "epoch": 0.5395, + "grad_norm": 22.375, + "grad_norm_var": 1.2634765625, + "learning_rate": 4.383724599872407e-05, + "loss": 6.653, + "loss/crossentropy": 1.8990858495235443, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1699540913105011, + "step": 3237 + }, + { + "epoch": 0.5396666666666666, + "grad_norm": 24.5, + "grad_norm_var": 1.28125, + "learning_rate": 4.381126652735285e-05, + "loss": 6.6197, + "loss/crossentropy": 1.751348078250885, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.14368567243218422, + "step": 3238 + }, + { + "epoch": 0.5398333333333334, + "grad_norm": 24.5, + "grad_norm_var": 1.2801432291666666, + "learning_rate": 4.3785288752658e-05, + "loss": 6.6877, + "loss/crossentropy": 1.8744294047355652, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.153496865183115, + "step": 3239 + }, + { + "epoch": 0.54, + "grad_norm": 26.375, + "grad_norm_var": 1.79375, + "learning_rate": 4.375931268176147e-05, + "loss": 6.5581, + "loss/crossentropy": 1.6753836870193481, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16302792355418205, + "step": 3240 + }, + { + "epoch": 0.5401666666666667, + "grad_norm": 24.75, + "grad_norm_var": 1.8103515625, + "learning_rate": 4.373333832178478e-05, + "loss": 6.6555, + "loss/crossentropy": 2.000080794095993, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.15064531192183495, + "step": 3241 + }, + { + "epoch": 0.5403333333333333, + "grad_norm": 23.0, + "grad_norm_var": 1.8327473958333333, + "learning_rate": 4.370736567984894e-05, + "loss": 6.4793, + "loss/crossentropy": 1.3399754613637924, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.14739139191806316, + "step": 3242 + }, + { + "epoch": 0.5405, + "grad_norm": 23.0, + "grad_norm_var": 1.6864583333333334, + "learning_rate": 4.368139476307449e-05, + "loss": 6.7113, + "loss/crossentropy": 1.52098648250103, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1556674875319004, + "step": 3243 + }, + { + "epoch": 0.5406666666666666, + "grad_norm": 21.75, + "grad_norm_var": 1.8947916666666667, + "learning_rate": 4.365542557858149e-05, + "loss": 6.5192, + "loss/crossentropy": 1.9617978036403656, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.14521468803286552, + "step": 3244 + }, + { + "epoch": 0.5408333333333334, + "grad_norm": 23.875, + "grad_norm_var": 1.8514973958333334, + "learning_rate": 4.362945813348955e-05, + "loss": 6.786, + "loss/crossentropy": 1.5296358615159988, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.1269407868385315, + "step": 3245 + }, + { + "epoch": 0.541, + "grad_norm": 24.25, + "grad_norm_var": 1.7749348958333333, + "learning_rate": 4.360349243491778e-05, + "loss": 6.7347, + "loss/crossentropy": 2.009047508239746, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1780568566173315, + "step": 3246 + }, + { + "epoch": 0.5411666666666667, + "grad_norm": 24.125, + "grad_norm_var": 1.7705729166666666, + "learning_rate": 4.3577528489984854e-05, + "loss": 6.802, + "loss/crossentropy": 1.3973083198070526, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1567030679434538, + "step": 3247 + }, + { + "epoch": 0.5413333333333333, + "grad_norm": 22.875, + "grad_norm_var": 1.7473307291666667, + "learning_rate": 4.3551566305808925e-05, + "loss": 6.6569, + "loss/crossentropy": 2.1893401443958282, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.1856193207204342, + "step": 3248 + }, + { + "epoch": 0.5415, + "grad_norm": 23.25, + "grad_norm_var": 1.6046223958333334, + "learning_rate": 4.352560588950766e-05, + "loss": 6.561, + "loss/crossentropy": 1.8028260320425034, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.18891393020749092, + "step": 3249 + }, + { + "epoch": 0.5416666666666666, + "grad_norm": 21.875, + "grad_norm_var": 1.4452473958333334, + "learning_rate": 4.349964724819826e-05, + "loss": 6.5722, + "loss/crossentropy": 2.4525915384292603, + "loss/hidden": 2.95703125, + "loss/jsd": 0.0, + "loss/logits": 0.14916583895683289, + "step": 3250 + }, + { + "epoch": 0.5418333333333333, + "grad_norm": 24.125, + "grad_norm_var": 1.41015625, + "learning_rate": 4.347369038899744e-05, + "loss": 6.5673, + "loss/crossentropy": 2.0754736363887787, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.14573251828551292, + "step": 3251 + }, + { + "epoch": 0.542, + "grad_norm": 24.125, + "grad_norm_var": 1.41015625, + "learning_rate": 4.34477353190214e-05, + "loss": 6.6625, + "loss/crossentropy": 1.6364810913801193, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.14860421046614647, + "step": 3252 + }, + { + "epoch": 0.5421666666666667, + "grad_norm": 22.625, + "grad_norm_var": 1.3708333333333333, + "learning_rate": 4.342178204538588e-05, + "loss": 6.5359, + "loss/crossentropy": 1.0896465927362442, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.15891440212726593, + "step": 3253 + }, + { + "epoch": 0.5423333333333333, + "grad_norm": 23.25, + "grad_norm_var": 1.3330729166666666, + "learning_rate": 4.339583057520613e-05, + "loss": 6.6514, + "loss/crossentropy": 2.2449444234371185, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.16449414938688278, + "step": 3254 + }, + { + "epoch": 0.5425, + "grad_norm": 22.875, + "grad_norm_var": 1.3051432291666667, + "learning_rate": 4.336988091559688e-05, + "loss": 6.8479, + "loss/crossentropy": 2.047559231519699, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.19982150569558144, + "step": 3255 + }, + { + "epoch": 0.5426666666666666, + "grad_norm": 23.5, + "grad_norm_var": 0.72265625, + "learning_rate": 4.334393307367239e-05, + "loss": 6.7375, + "loss/crossentropy": 1.9733581244945526, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1714215874671936, + "step": 3256 + }, + { + "epoch": 0.5428333333333333, + "grad_norm": 23.875, + "grad_norm_var": 0.6046223958333333, + "learning_rate": 4.3317987056546394e-05, + "loss": 6.4248, + "loss/crossentropy": 1.7078076899051666, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.14906848967075348, + "step": 3257 + }, + { + "epoch": 0.543, + "grad_norm": 21.875, + "grad_norm_var": 0.7247395833333333, + "learning_rate": 4.329204287133215e-05, + "loss": 6.6747, + "loss/crossentropy": 1.919236183166504, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.15008580684661865, + "step": 3258 + }, + { + "epoch": 0.5431666666666667, + "grad_norm": 23.625, + "grad_norm_var": 0.7322265625, + "learning_rate": 4.326610052514237e-05, + "loss": 6.6504, + "loss/crossentropy": 2.004969835281372, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.18242452666163445, + "step": 3259 + }, + { + "epoch": 0.5433333333333333, + "grad_norm": 23.5, + "grad_norm_var": 0.5754557291666667, + "learning_rate": 4.324016002508935e-05, + "loss": 6.7937, + "loss/crossentropy": 2.0412175059318542, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16841784864664078, + "step": 3260 + }, + { + "epoch": 0.5435, + "grad_norm": 23.625, + "grad_norm_var": 0.5619140625, + "learning_rate": 4.321422137828479e-05, + "loss": 6.7005, + "loss/crossentropy": 1.983551636338234, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.19473076239228249, + "step": 3261 + }, + { + "epoch": 0.5436666666666666, + "grad_norm": 22.125, + "grad_norm_var": 0.58515625, + "learning_rate": 4.318828459183992e-05, + "loss": 6.3969, + "loss/crossentropy": 1.7641983330249786, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.1521986909210682, + "step": 3262 + }, + { + "epoch": 0.5438333333333333, + "grad_norm": 26.0, + "grad_norm_var": 1.0353515625, + "learning_rate": 4.316234967286547e-05, + "loss": 6.6693, + "loss/crossentropy": 1.417138010263443, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1360844187438488, + "step": 3263 + }, + { + "epoch": 0.544, + "grad_norm": 22.625, + "grad_norm_var": 1.0541015625, + "learning_rate": 4.313641662847164e-05, + "loss": 6.3583, + "loss/crossentropy": 1.7138605415821075, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.15302490815520287, + "step": 3264 + }, + { + "epoch": 0.5441666666666667, + "grad_norm": 25.25, + "grad_norm_var": 1.2895182291666667, + "learning_rate": 4.31104854657681e-05, + "loss": 6.5607, + "loss/crossentropy": 1.745800331234932, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1549812015146017, + "step": 3265 + }, + { + "epoch": 0.5443333333333333, + "grad_norm": 23.0, + "grad_norm_var": 1.1354166666666667, + "learning_rate": 4.308455619186406e-05, + "loss": 6.6518, + "loss/crossentropy": 1.881020799279213, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.13830069825053215, + "step": 3266 + }, + { + "epoch": 0.5445, + "grad_norm": 25.0, + "grad_norm_var": 1.2561848958333333, + "learning_rate": 4.3058628813868156e-05, + "loss": 7.1231, + "loss/crossentropy": 2.295709192752838, + "loss/hidden": 3.0078125, + "loss/jsd": 0.0, + "loss/logits": 0.16085748746991158, + "step": 3267 + }, + { + "epoch": 0.5446666666666666, + "grad_norm": 23.75, + "grad_norm_var": 1.2364583333333334, + "learning_rate": 4.303270333888854e-05, + "loss": 6.6739, + "loss/crossentropy": 2.4506790041923523, + "loss/hidden": 2.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.1393302120268345, + "step": 3268 + }, + { + "epoch": 0.5448333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.2525390625, + "learning_rate": 4.300677977403281e-05, + "loss": 6.3525, + "loss/crossentropy": 1.2035548090934753, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.14326786249876022, + "step": 3269 + }, + { + "epoch": 0.545, + "grad_norm": 23.625, + "grad_norm_var": 1.24765625, + "learning_rate": 4.2980858126408065e-05, + "loss": 6.7045, + "loss/crossentropy": 1.4710261821746826, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14153144136071205, + "step": 3270 + }, + { + "epoch": 0.5451666666666667, + "grad_norm": 26.125, + "grad_norm_var": 1.6166666666666667, + "learning_rate": 4.295493840312087e-05, + "loss": 6.7656, + "loss/crossentropy": 2.25753653049469, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.22410335391759872, + "step": 3271 + }, + { + "epoch": 0.5453333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.7125, + "learning_rate": 4.2929020611277274e-05, + "loss": 6.5361, + "loss/crossentropy": 1.4334276914596558, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.16509714722633362, + "step": 3272 + }, + { + "epoch": 0.5455, + "grad_norm": 22.375, + "grad_norm_var": 1.815625, + "learning_rate": 4.2903104757982785e-05, + "loss": 6.7253, + "loss/crossentropy": 2.026398688554764, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1897004470229149, + "step": 3273 + }, + { + "epoch": 0.5456666666666666, + "grad_norm": 22.625, + "grad_norm_var": 1.67890625, + "learning_rate": 4.2877190850342375e-05, + "loss": 6.746, + "loss/crossentropy": 1.973962813615799, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.16743763536214828, + "step": 3274 + }, + { + "epoch": 0.5458333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.7603515625, + "learning_rate": 4.285127889546049e-05, + "loss": 6.5677, + "loss/crossentropy": 2.1606391072273254, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1719435527920723, + "step": 3275 + }, + { + "epoch": 0.546, + "grad_norm": 22.125, + "grad_norm_var": 1.89140625, + "learning_rate": 4.282536890044104e-05, + "loss": 6.4246, + "loss/crossentropy": 1.7623218595981598, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.13141189888119698, + "step": 3276 + }, + { + "epoch": 0.5461666666666667, + "grad_norm": 23.875, + "grad_norm_var": 1.9, + "learning_rate": 4.2799460872387394e-05, + "loss": 6.5691, + "loss/crossentropy": 2.005800783634186, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.1495290845632553, + "step": 3277 + }, + { + "epoch": 0.5463333333333333, + "grad_norm": 21.75, + "grad_norm_var": 1.9775390625, + "learning_rate": 4.277355481840239e-05, + "loss": 6.4233, + "loss/crossentropy": 1.9759045988321304, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1783483624458313, + "step": 3278 + }, + { + "epoch": 0.5465, + "grad_norm": 22.5, + "grad_norm_var": 1.5655598958333334, + "learning_rate": 4.274765074558832e-05, + "loss": 6.2613, + "loss/crossentropy": 1.6413889825344086, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.19304856657981873, + "step": 3279 + }, + { + "epoch": 0.5466666666666666, + "grad_norm": 22.625, + "grad_norm_var": 1.5655598958333334, + "learning_rate": 4.2721748661046934e-05, + "loss": 6.7577, + "loss/crossentropy": 1.4656214118003845, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1683252491056919, + "step": 3280 + }, + { + "epoch": 0.5468333333333333, + "grad_norm": 24.0, + "grad_norm_var": 1.3311848958333334, + "learning_rate": 4.269584857187943e-05, + "loss": 6.9624, + "loss/crossentropy": 2.217863291501999, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.15191573649644852, + "step": 3281 + }, + { + "epoch": 0.547, + "grad_norm": 22.875, + "grad_norm_var": 1.33515625, + "learning_rate": 4.266995048518647e-05, + "loss": 6.529, + "loss/crossentropy": 2.0132854133844376, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.13852129504084587, + "step": 3282 + }, + { + "epoch": 0.5471666666666667, + "grad_norm": 23.375, + "grad_norm_var": 1.1041015625, + "learning_rate": 4.264405440806813e-05, + "loss": 6.7172, + "loss/crossentropy": 2.3787650763988495, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.17625821381807327, + "step": 3283 + }, + { + "epoch": 0.5473333333333333, + "grad_norm": 26.25, + "grad_norm_var": 1.7212890625, + "learning_rate": 4.261816034762402e-05, + "loss": 6.5951, + "loss/crossentropy": 1.5833271592855453, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1548236384987831, + "step": 3284 + }, + { + "epoch": 0.5475, + "grad_norm": 21.75, + "grad_norm_var": 1.8291015625, + "learning_rate": 4.25922683109531e-05, + "loss": 6.4852, + "loss/crossentropy": 1.960205391049385, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.16210145875811577, + "step": 3285 + }, + { + "epoch": 0.5476666666666666, + "grad_norm": 23.375, + "grad_norm_var": 1.8181640625, + "learning_rate": 4.256637830515385e-05, + "loss": 6.6822, + "loss/crossentropy": 1.636979103088379, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1619622502475977, + "step": 3286 + }, + { + "epoch": 0.5478333333333333, + "grad_norm": 21.375, + "grad_norm_var": 1.3530598958333333, + "learning_rate": 4.254049033732416e-05, + "loss": 6.337, + "loss/crossentropy": 1.8646352291107178, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.15358764678239822, + "step": 3287 + }, + { + "epoch": 0.548, + "grad_norm": 22.375, + "grad_norm_var": 1.36015625, + "learning_rate": 4.2514604414561335e-05, + "loss": 6.5767, + "loss/crossentropy": 1.8843100368976593, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1876283995807171, + "step": 3288 + }, + { + "epoch": 0.5481666666666667, + "grad_norm": 22.625, + "grad_norm_var": 1.3479166666666667, + "learning_rate": 4.2488720543962146e-05, + "loss": 6.6585, + "loss/crossentropy": 2.3419783413410187, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.17075852677226067, + "step": 3289 + }, + { + "epoch": 0.5483333333333333, + "grad_norm": 23.125, + "grad_norm_var": 1.346875, + "learning_rate": 4.246283873262284e-05, + "loss": 6.4137, + "loss/crossentropy": 2.008503168821335, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.1494903638958931, + "step": 3290 + }, + { + "epoch": 0.5485, + "grad_norm": 24.125, + "grad_norm_var": 1.4238932291666666, + "learning_rate": 4.243695898763904e-05, + "loss": 6.874, + "loss/crossentropy": 1.616494357585907, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.17736896872520447, + "step": 3291 + }, + { + "epoch": 0.5486666666666666, + "grad_norm": 22.125, + "grad_norm_var": 1.4238932291666666, + "learning_rate": 4.2411081316105824e-05, + "loss": 6.9962, + "loss/crossentropy": 1.8944573253393173, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16288121789693832, + "step": 3292 + }, + { + "epoch": 0.5488333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.4760416666666667, + "learning_rate": 4.238520572511773e-05, + "loss": 6.7623, + "loss/crossentropy": 1.6511003822088242, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15452192351222038, + "step": 3293 + }, + { + "epoch": 0.549, + "grad_norm": 23.5, + "grad_norm_var": 1.3684895833333333, + "learning_rate": 4.2359332221768655e-05, + "loss": 6.6599, + "loss/crossentropy": 2.092676877975464, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.1531125120818615, + "step": 3294 + }, + { + "epoch": 0.5491666666666667, + "grad_norm": 23.375, + "grad_norm_var": 1.3416015625, + "learning_rate": 4.233346081315196e-05, + "loss": 6.5119, + "loss/crossentropy": 1.4970193654298782, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.15639974176883698, + "step": 3295 + }, + { + "epoch": 0.5493333333333333, + "grad_norm": 27.125, + "grad_norm_var": 2.2650390625, + "learning_rate": 4.2307591506360494e-05, + "loss": 6.7895, + "loss/crossentropy": 1.5389989614486694, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17218336462974548, + "step": 3296 + }, + { + "epoch": 0.5495, + "grad_norm": 21.75, + "grad_norm_var": 2.4244140625, + "learning_rate": 4.228172430848644e-05, + "loss": 6.6932, + "loss/crossentropy": 1.9822783172130585, + "loss/hidden": 2.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.13523855805397034, + "step": 3297 + }, + { + "epoch": 0.5496666666666666, + "grad_norm": 21.25, + "grad_norm_var": 2.689322916666667, + "learning_rate": 4.2255859226621454e-05, + "loss": 6.5715, + "loss/crossentropy": 1.8716545104980469, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.1751004084944725, + "step": 3298 + }, + { + "epoch": 0.5498333333333333, + "grad_norm": 23.0, + "grad_norm_var": 2.6910807291666665, + "learning_rate": 4.2229996267856575e-05, + "loss": 6.7429, + "loss/crossentropy": 1.7999745309352875, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.15000876411795616, + "step": 3299 + }, + { + "epoch": 0.55, + "grad_norm": 22.625, + "grad_norm_var": 2.0434895833333333, + "learning_rate": 4.2204135439282285e-05, + "loss": 6.5866, + "loss/crossentropy": 1.812895655632019, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14229941368103027, + "step": 3300 + }, + { + "epoch": 0.5501666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.9354166666666666, + "learning_rate": 4.2178276747988446e-05, + "loss": 6.7073, + "loss/crossentropy": 1.9825557470321655, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16293644532561302, + "step": 3301 + }, + { + "epoch": 0.5503333333333333, + "grad_norm": 22.625, + "grad_norm_var": 1.9393229166666666, + "learning_rate": 4.2152420201064434e-05, + "loss": 6.5035, + "loss/crossentropy": 1.6700354516506195, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.172380730509758, + "step": 3302 + }, + { + "epoch": 0.5505, + "grad_norm": 22.875, + "grad_norm_var": 1.7518229166666666, + "learning_rate": 4.2126565805598937e-05, + "loss": 6.5788, + "loss/crossentropy": 1.6517489552497864, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.17061220481991768, + "step": 3303 + }, + { + "epoch": 0.5506666666666666, + "grad_norm": 24.75, + "grad_norm_var": 1.8718098958333333, + "learning_rate": 4.210071356868007e-05, + "loss": 6.9162, + "loss/crossentropy": 1.532684713602066, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1532718911767006, + "step": 3304 + }, + { + "epoch": 0.5508333333333333, + "grad_norm": 22.875, + "grad_norm_var": 1.8546223958333334, + "learning_rate": 4.2074863497395377e-05, + "loss": 6.4959, + "loss/crossentropy": 1.83810555934906, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.13699821196496487, + "step": 3305 + }, + { + "epoch": 0.551, + "grad_norm": 24.75, + "grad_norm_var": 1.9875, + "learning_rate": 4.204901559883181e-05, + "loss": 6.6173, + "loss/crossentropy": 1.904440477490425, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.17653483524918556, + "step": 3306 + }, + { + "epoch": 0.5511666666666667, + "grad_norm": 21.75, + "grad_norm_var": 2.1025390625, + "learning_rate": 4.202316988007567e-05, + "loss": 6.4509, + "loss/crossentropy": 1.9742406606674194, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.1412430815398693, + "step": 3307 + }, + { + "epoch": 0.5513333333333333, + "grad_norm": 24.0, + "grad_norm_var": 2.046875, + "learning_rate": 4.19973263482128e-05, + "loss": 6.4819, + "loss/crossentropy": 1.848403811454773, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1502196192741394, + "step": 3308 + }, + { + "epoch": 0.5515, + "grad_norm": 23.125, + "grad_norm_var": 1.9900390625, + "learning_rate": 4.197148501032829e-05, + "loss": 6.7531, + "loss/crossentropy": 2.023953765630722, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.1354321911931038, + "step": 3309 + }, + { + "epoch": 0.5516666666666666, + "grad_norm": 21.125, + "grad_norm_var": 2.2708333333333335, + "learning_rate": 4.194564587350669e-05, + "loss": 6.5767, + "loss/crossentropy": 1.6327130198478699, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.1370823234319687, + "step": 3310 + }, + { + "epoch": 0.5518333333333333, + "grad_norm": 23.875, + "grad_norm_var": 2.303125, + "learning_rate": 4.1919808944831954e-05, + "loss": 6.9888, + "loss/crossentropy": 2.1167646050453186, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.19151583686470985, + "step": 3311 + }, + { + "epoch": 0.552, + "grad_norm": 22.875, + "grad_norm_var": 1.1830729166666667, + "learning_rate": 4.1893974231387424e-05, + "loss": 6.3953, + "loss/crossentropy": 1.8434007465839386, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.13687613420188427, + "step": 3312 + }, + { + "epoch": 0.5521666666666667, + "grad_norm": 24.625, + "grad_norm_var": 1.2624348958333333, + "learning_rate": 4.1868141740255823e-05, + "loss": 6.7107, + "loss/crossentropy": 1.907152146100998, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.18632660061120987, + "step": 3313 + }, + { + "epoch": 0.5523333333333333, + "grad_norm": 25.875, + "grad_norm_var": 1.4768229166666667, + "learning_rate": 4.184231147851929e-05, + "loss": 6.8665, + "loss/crossentropy": 1.5445225983858109, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1235609482973814, + "step": 3314 + }, + { + "epoch": 0.5525, + "grad_norm": 23.25, + "grad_norm_var": 1.46875, + "learning_rate": 4.181648345325934e-05, + "loss": 6.4642, + "loss/crossentropy": 1.3726064264774323, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.13220888748764992, + "step": 3315 + }, + { + "epoch": 0.5526666666666666, + "grad_norm": 22.625, + "grad_norm_var": 1.46875, + "learning_rate": 4.179065767155686e-05, + "loss": 6.5641, + "loss/crossentropy": 1.9456061124801636, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.15431364625692368, + "step": 3316 + }, + { + "epoch": 0.5528333333333333, + "grad_norm": 22.875, + "grad_norm_var": 1.4759765625, + "learning_rate": 4.176483414049214e-05, + "loss": 6.5305, + "loss/crossentropy": 2.083627849817276, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.15994926169514656, + "step": 3317 + }, + { + "epoch": 0.553, + "grad_norm": 25.0, + "grad_norm_var": 1.5934895833333333, + "learning_rate": 4.1739012867144844e-05, + "loss": 6.4611, + "loss/crossentropy": 1.4970493465662003, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.18697774782776833, + "step": 3318 + }, + { + "epoch": 0.5531666666666667, + "grad_norm": 20.625, + "grad_norm_var": 2.1020833333333333, + "learning_rate": 4.171319385859401e-05, + "loss": 6.4383, + "loss/crossentropy": 1.8149040639400482, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.12123154476284981, + "step": 3319 + }, + { + "epoch": 0.5533333333333333, + "grad_norm": 21.875, + "grad_norm_var": 2.0916015625, + "learning_rate": 4.16873771219181e-05, + "loss": 6.4489, + "loss/crossentropy": 2.0508431792259216, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.14454811438918114, + "step": 3320 + }, + { + "epoch": 0.5535, + "grad_norm": 23.5, + "grad_norm_var": 2.0893229166666667, + "learning_rate": 4.166156266419489e-05, + "loss": 6.7408, + "loss/crossentropy": 1.8881889879703522, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.15177244506776333, + "step": 3321 + }, + { + "epoch": 0.5536666666666666, + "grad_norm": 23.0, + "grad_norm_var": 1.9270833333333333, + "learning_rate": 4.163575049250157e-05, + "loss": 6.638, + "loss/crossentropy": 1.7955422103404999, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17434361204504967, + "step": 3322 + }, + { + "epoch": 0.5538333333333333, + "grad_norm": 23.5, + "grad_norm_var": 1.79765625, + "learning_rate": 4.1609940613914686e-05, + "loss": 6.6741, + "loss/crossentropy": 2.093031257390976, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.16706927493214607, + "step": 3323 + }, + { + "epoch": 0.554, + "grad_norm": 23.25, + "grad_norm_var": 1.75625, + "learning_rate": 4.158413303551017e-05, + "loss": 6.6415, + "loss/crossentropy": 1.9759161472320557, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.191068135201931, + "step": 3324 + }, + { + "epoch": 0.5541666666666667, + "grad_norm": 22.75, + "grad_norm_var": 1.7681640625, + "learning_rate": 4.155832776436331e-05, + "loss": 6.719, + "loss/crossentropy": 1.7086654603481293, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1534666195511818, + "step": 3325 + }, + { + "epoch": 0.5543333333333333, + "grad_norm": 23.75, + "grad_norm_var": 1.48515625, + "learning_rate": 4.153252480754877e-05, + "loss": 6.5735, + "loss/crossentropy": 1.7898423373699188, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.14173054322600365, + "step": 3326 + }, + { + "epoch": 0.5545, + "grad_norm": 23.25, + "grad_norm_var": 1.4639973958333334, + "learning_rate": 4.150672417214058e-05, + "loss": 6.5648, + "loss/crossentropy": 1.888796642422676, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15417040884494781, + "step": 3327 + }, + { + "epoch": 0.5546666666666666, + "grad_norm": 21.625, + "grad_norm_var": 1.6306640625, + "learning_rate": 4.148092586521213e-05, + "loss": 6.5197, + "loss/crossentropy": 1.5285774767398834, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.16094066202640533, + "step": 3328 + }, + { + "epoch": 0.5548333333333333, + "grad_norm": 25.375, + "grad_norm_var": 1.8072265625, + "learning_rate": 4.1455129893836174e-05, + "loss": 6.5037, + "loss/crossentropy": 1.4920436292886734, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.13511042296886444, + "step": 3329 + }, + { + "epoch": 0.555, + "grad_norm": 21.25, + "grad_norm_var": 1.5302083333333334, + "learning_rate": 4.1429336265084814e-05, + "loss": 6.4042, + "loss/crossentropy": 1.9608619809150696, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.14559105038642883, + "step": 3330 + }, + { + "epoch": 0.5551666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.5247395833333333, + "learning_rate": 4.140354498602952e-05, + "loss": 6.7719, + "loss/crossentropy": 1.5033740401268005, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.16233162209391594, + "step": 3331 + }, + { + "epoch": 0.5553333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.5311848958333334, + "learning_rate": 4.1377756063741135e-05, + "loss": 6.6172, + "loss/crossentropy": 1.902076780796051, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15745216608047485, + "step": 3332 + }, + { + "epoch": 0.5555, + "grad_norm": 22.25, + "grad_norm_var": 1.5614583333333334, + "learning_rate": 4.135196950528982e-05, + "loss": 6.6853, + "loss/crossentropy": 1.991449922323227, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.20296848937869072, + "step": 3333 + }, + { + "epoch": 0.5556666666666666, + "grad_norm": 25.5, + "grad_norm_var": 1.7166666666666666, + "learning_rate": 4.132618531774512e-05, + "loss": 6.7363, + "loss/crossentropy": 1.5910641551017761, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1678062602877617, + "step": 3334 + }, + { + "epoch": 0.5558333333333333, + "grad_norm": 23.875, + "grad_norm_var": 1.3747395833333333, + "learning_rate": 4.13004035081759e-05, + "loss": 6.6257, + "loss/crossentropy": 2.348206341266632, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.14462286233901978, + "step": 3335 + }, + { + "epoch": 0.556, + "grad_norm": 23.75, + "grad_norm_var": 1.2780598958333333, + "learning_rate": 4.127462408365041e-05, + "loss": 6.8331, + "loss/crossentropy": 2.055867999792099, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.13846903666853905, + "step": 3336 + }, + { + "epoch": 0.5561666666666667, + "grad_norm": 23.125, + "grad_norm_var": 1.2747395833333333, + "learning_rate": 4.1248847051236195e-05, + "loss": 6.5968, + "loss/crossentropy": 1.9392531961202621, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.14417246729135513, + "step": 3337 + }, + { + "epoch": 0.5563333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.3333333333333333, + "learning_rate": 4.122307241800021e-05, + "loss": 6.6868, + "loss/crossentropy": 2.0861940681934357, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.11886496283113956, + "step": 3338 + }, + { + "epoch": 0.5565, + "grad_norm": 22.875, + "grad_norm_var": 1.3421223958333333, + "learning_rate": 4.1197300191008694e-05, + "loss": 6.6304, + "loss/crossentropy": 2.4802688360214233, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.16927044466137886, + "step": 3339 + }, + { + "epoch": 0.5566666666666666, + "grad_norm": 23.375, + "grad_norm_var": 1.3427083333333334, + "learning_rate": 4.117153037732726e-05, + "loss": 6.5742, + "loss/crossentropy": 1.3783488124608994, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.21989209204912186, + "step": 3340 + }, + { + "epoch": 0.5568333333333333, + "grad_norm": 21.625, + "grad_norm_var": 1.5014973958333333, + "learning_rate": 4.114576298402084e-05, + "loss": 6.5745, + "loss/crossentropy": 2.0197093784809113, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.14449280500411987, + "step": 3341 + }, + { + "epoch": 0.557, + "grad_norm": 23.375, + "grad_norm_var": 1.4833333333333334, + "learning_rate": 4.1119998018153726e-05, + "loss": 6.8344, + "loss/crossentropy": 1.5714246332645416, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.19292227178812027, + "step": 3342 + }, + { + "epoch": 0.5571666666666667, + "grad_norm": 22.75, + "grad_norm_var": 1.4947916666666667, + "learning_rate": 4.109423548678949e-05, + "loss": 6.5233, + "loss/crossentropy": 2.292124927043915, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1539414245635271, + "step": 3343 + }, + { + "epoch": 0.5573333333333333, + "grad_norm": 26.375, + "grad_norm_var": 1.93515625, + "learning_rate": 4.106847539699112e-05, + "loss": 6.8173, + "loss/crossentropy": 2.0025964081287384, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1673610769212246, + "step": 3344 + }, + { + "epoch": 0.5575, + "grad_norm": 23.875, + "grad_norm_var": 1.69140625, + "learning_rate": 4.104271775582089e-05, + "loss": 6.6909, + "loss/crossentropy": 1.8422705233097076, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.19160883501172066, + "step": 3345 + }, + { + "epoch": 0.5576666666666666, + "grad_norm": 22.75, + "grad_norm_var": 1.41015625, + "learning_rate": 4.101696257034037e-05, + "loss": 6.7266, + "loss/crossentropy": 2.311449706554413, + "loss/hidden": 2.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.13481812179088593, + "step": 3346 + }, + { + "epoch": 0.5578333333333333, + "grad_norm": 22.625, + "grad_norm_var": 1.4416015625, + "learning_rate": 4.0991209847610535e-05, + "loss": 6.5364, + "loss/crossentropy": 1.6819854974746704, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.12699411250650883, + "step": 3347 + }, + { + "epoch": 0.558, + "grad_norm": 22.375, + "grad_norm_var": 1.4580729166666666, + "learning_rate": 4.0965459594691594e-05, + "loss": 6.5468, + "loss/crossentropy": 1.476049691438675, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.1425176691263914, + "step": 3348 + }, + { + "epoch": 0.5581666666666667, + "grad_norm": 22.0, + "grad_norm_var": 1.5010416666666666, + "learning_rate": 4.093971181864313e-05, + "loss": 6.5624, + "loss/crossentropy": 1.6010144650936127, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.1357752811163664, + "step": 3349 + }, + { + "epoch": 0.5583333333333333, + "grad_norm": 23.75, + "grad_norm_var": 1.20390625, + "learning_rate": 4.091396652652407e-05, + "loss": 6.4082, + "loss/crossentropy": 2.1327264308929443, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.14645888470113277, + "step": 3350 + }, + { + "epoch": 0.5585, + "grad_norm": 22.875, + "grad_norm_var": 1.1893229166666666, + "learning_rate": 4.088822372539263e-05, + "loss": 6.3477, + "loss/crossentropy": 1.9542486667633057, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.15642988681793213, + "step": 3351 + }, + { + "epoch": 0.5586666666666666, + "grad_norm": 24.375, + "grad_norm_var": 1.2567057291666666, + "learning_rate": 4.086248342230633e-05, + "loss": 6.598, + "loss/crossentropy": 1.7589702606201172, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15478698909282684, + "step": 3352 + }, + { + "epoch": 0.5588333333333333, + "grad_norm": 22.625, + "grad_norm_var": 1.2822265625, + "learning_rate": 4.0836745624322023e-05, + "loss": 6.453, + "loss/crossentropy": 1.7865593135356903, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.1547165848314762, + "step": 3353 + }, + { + "epoch": 0.559, + "grad_norm": 22.625, + "grad_norm_var": 1.22890625, + "learning_rate": 4.081101033849587e-05, + "loss": 6.3705, + "loss/crossentropy": 1.6386356055736542, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.13034456595778465, + "step": 3354 + }, + { + "epoch": 0.5591666666666667, + "grad_norm": 23.125, + "grad_norm_var": 1.2239583333333333, + "learning_rate": 4.078527757188333e-05, + "loss": 6.8131, + "loss/crossentropy": 1.9049543887376785, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1956184282898903, + "step": 3355 + }, + { + "epoch": 0.5593333333333333, + "grad_norm": 23.25, + "grad_norm_var": 1.2212890625, + "learning_rate": 4.075954733153922e-05, + "loss": 6.6562, + "loss/crossentropy": 2.162142753601074, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16400988772511482, + "step": 3356 + }, + { + "epoch": 0.5595, + "grad_norm": 29.25, + "grad_norm_var": 3.30625, + "learning_rate": 4.0733819624517634e-05, + "loss": 6.6401, + "loss/crossentropy": 1.9970796704292297, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.14489153772592545, + "step": 3357 + }, + { + "epoch": 0.5596666666666666, + "grad_norm": 22.375, + "grad_norm_var": 3.402083333333333, + "learning_rate": 4.0708094457871934e-05, + "loss": 6.6366, + "loss/crossentropy": 1.9871832728385925, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.19200524315238, + "step": 3358 + }, + { + "epoch": 0.5598333333333333, + "grad_norm": 23.375, + "grad_norm_var": 3.3587890625, + "learning_rate": 4.0682371838654845e-05, + "loss": 6.7386, + "loss/crossentropy": 1.8564231395721436, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.1413148157298565, + "step": 3359 + }, + { + "epoch": 0.56, + "grad_norm": 24.875, + "grad_norm_var": 2.9447265625, + "learning_rate": 4.0656651773918363e-05, + "loss": 6.6352, + "loss/crossentropy": 1.4061966836452484, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.14553026854991913, + "step": 3360 + }, + { + "epoch": 0.5601666666666667, + "grad_norm": 23.625, + "grad_norm_var": 2.936393229166667, + "learning_rate": 4.063093427071376e-05, + "loss": 6.6679, + "loss/crossentropy": 1.8591010719537735, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1494128443300724, + "step": 3361 + }, + { + "epoch": 0.5603333333333333, + "grad_norm": 22.375, + "grad_norm_var": 2.982291666666667, + "learning_rate": 4.06052193360917e-05, + "loss": 6.3118, + "loss/crossentropy": 1.8791984915733337, + "loss/hidden": 3.0078125, + "loss/jsd": 0.0, + "loss/logits": 0.14091907069087029, + "step": 3362 + }, + { + "epoch": 0.5605, + "grad_norm": 22.0, + "grad_norm_var": 3.077018229166667, + "learning_rate": 4.0579506977102036e-05, + "loss": 6.7165, + "loss/crossentropy": 1.8524097353219986, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.13566241040825844, + "step": 3363 + }, + { + "epoch": 0.5606666666666666, + "grad_norm": 22.5, + "grad_norm_var": 3.060416666666667, + "learning_rate": 4.0553797200793954e-05, + "loss": 6.8117, + "loss/crossentropy": 1.7854401171207428, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.15819326415657997, + "step": 3364 + }, + { + "epoch": 0.5608333333333333, + "grad_norm": 23.0, + "grad_norm_var": 2.93125, + "learning_rate": 4.0528090014215945e-05, + "loss": 6.6092, + "loss/crossentropy": 2.6732324361801147, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.16901807114481926, + "step": 3365 + }, + { + "epoch": 0.561, + "grad_norm": 23.875, + "grad_norm_var": 2.936393229166667, + "learning_rate": 4.050238542441578e-05, + "loss": 6.6652, + "loss/crossentropy": 1.6859955489635468, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.12671232596039772, + "step": 3366 + }, + { + "epoch": 0.5611666666666667, + "grad_norm": 22.0, + "grad_norm_var": 3.0580729166666667, + "learning_rate": 4.047668343844051e-05, + "loss": 6.5821, + "loss/crossentropy": 1.8247520923614502, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.14621075801551342, + "step": 3367 + }, + { + "epoch": 0.5613333333333334, + "grad_norm": 22.125, + "grad_norm_var": 3.097916666666667, + "learning_rate": 4.0450984063336495e-05, + "loss": 6.64, + "loss/crossentropy": 1.8562354743480682, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.18909147754311562, + "step": 3368 + }, + { + "epoch": 0.5615, + "grad_norm": 23.25, + "grad_norm_var": 3.0650390625, + "learning_rate": 4.042528730614936e-05, + "loss": 6.5159, + "loss/crossentropy": 2.3926867246627808, + "loss/hidden": 2.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.15174739807844162, + "step": 3369 + }, + { + "epoch": 0.5616666666666666, + "grad_norm": 30.625, + "grad_norm_var": 6.2900390625, + "learning_rate": 4.0399593173924005e-05, + "loss": 6.9569, + "loss/crossentropy": 1.6032235324382782, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.14462785422801971, + "step": 3370 + }, + { + "epoch": 0.5618333333333333, + "grad_norm": 23.125, + "grad_norm_var": 6.2900390625, + "learning_rate": 4.037390167370464e-05, + "loss": 6.7522, + "loss/crossentropy": 1.5455533266067505, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1474966313689947, + "step": 3371 + }, + { + "epoch": 0.562, + "grad_norm": 23.375, + "grad_norm_var": 6.280989583333334, + "learning_rate": 4.034821281253472e-05, + "loss": 6.5124, + "loss/crossentropy": 2.043682098388672, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.1462570782750845, + "step": 3372 + }, + { + "epoch": 0.5621666666666667, + "grad_norm": 23.0, + "grad_norm_var": 4.230208333333334, + "learning_rate": 4.032252659745699e-05, + "loss": 6.7536, + "loss/crossentropy": 1.8206226825714111, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1506585069000721, + "step": 3373 + }, + { + "epoch": 0.5623333333333334, + "grad_norm": 24.75, + "grad_norm_var": 4.236393229166667, + "learning_rate": 4.029684303551349e-05, + "loss": 6.6728, + "loss/crossentropy": 1.504521831870079, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.14888959005475044, + "step": 3374 + }, + { + "epoch": 0.5625, + "grad_norm": 26.125, + "grad_norm_var": 4.620247395833333, + "learning_rate": 4.02711621337455e-05, + "loss": 6.6853, + "loss/crossentropy": 2.474831908941269, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.1572209745645523, + "step": 3375 + }, + { + "epoch": 0.5626666666666666, + "grad_norm": 23.125, + "grad_norm_var": 4.558268229166667, + "learning_rate": 4.0245483899193595e-05, + "loss": 6.3265, + "loss/crossentropy": 1.4670707136392593, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14045825600624084, + "step": 3376 + }, + { + "epoch": 0.5628333333333333, + "grad_norm": 23.75, + "grad_norm_var": 4.558333333333334, + "learning_rate": 4.02198083388976e-05, + "loss": 6.5367, + "loss/crossentropy": 1.8575543612241745, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.1377633921802044, + "step": 3377 + }, + { + "epoch": 0.563, + "grad_norm": 22.625, + "grad_norm_var": 4.518489583333333, + "learning_rate": 4.019413545989661e-05, + "loss": 6.6166, + "loss/crossentropy": 1.91488716006279, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.15926796942949295, + "step": 3378 + }, + { + "epoch": 0.5631666666666667, + "grad_norm": 23.5, + "grad_norm_var": 4.318489583333333, + "learning_rate": 4.0168465269229007e-05, + "loss": 6.4361, + "loss/crossentropy": 1.727434515953064, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.15083494037389755, + "step": 3379 + }, + { + "epoch": 0.5633333333333334, + "grad_norm": 23.25, + "grad_norm_var": 4.223958333333333, + "learning_rate": 4.0142797773932394e-05, + "loss": 6.4844, + "loss/crossentropy": 1.743835836648941, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.16334636509418488, + "step": 3380 + }, + { + "epoch": 0.5635, + "grad_norm": 22.875, + "grad_norm_var": 4.238997395833334, + "learning_rate": 4.0117132981043693e-05, + "loss": 6.8267, + "loss/crossentropy": 1.7987301349639893, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16100656241178513, + "step": 3381 + }, + { + "epoch": 0.5636666666666666, + "grad_norm": 23.0, + "grad_norm_var": 4.282291666666667, + "learning_rate": 4.009147089759904e-05, + "loss": 6.7122, + "loss/crossentropy": 2.1904017329216003, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.12122476100921631, + "step": 3382 + }, + { + "epoch": 0.5638333333333333, + "grad_norm": 26.0, + "grad_norm_var": 4.332291666666666, + "learning_rate": 4.006581153063383e-05, + "loss": 6.623, + "loss/crossentropy": 1.4993716925382614, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.13607187382876873, + "step": 3383 + }, + { + "epoch": 0.564, + "grad_norm": 23.875, + "grad_norm_var": 4.07890625, + "learning_rate": 4.0040154887182726e-05, + "loss": 6.4973, + "loss/crossentropy": 1.6915495991706848, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.14416271820664406, + "step": 3384 + }, + { + "epoch": 0.5641666666666667, + "grad_norm": 22.875, + "grad_norm_var": 4.1322265625, + "learning_rate": 4.001450097427966e-05, + "loss": 6.5892, + "loss/crossentropy": 1.86826092004776, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.14071475714445114, + "step": 3385 + }, + { + "epoch": 0.5643333333333334, + "grad_norm": 22.625, + "grad_norm_var": 1.1905598958333334, + "learning_rate": 3.998884979895777e-05, + "loss": 6.8436, + "loss/crossentropy": 2.0007777512073517, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.1615516059100628, + "step": 3386 + }, + { + "epoch": 0.5645, + "grad_norm": 22.25, + "grad_norm_var": 1.2958333333333334, + "learning_rate": 3.996320136824949e-05, + "loss": 6.2448, + "loss/crossentropy": 1.549825668334961, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1404164470732212, + "step": 3387 + }, + { + "epoch": 0.5646666666666667, + "grad_norm": 22.125, + "grad_norm_var": 1.4247395833333334, + "learning_rate": 3.9937555689186486e-05, + "loss": 6.6716, + "loss/crossentropy": 1.8071328848600388, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.1406205426901579, + "step": 3388 + }, + { + "epoch": 0.5648333333333333, + "grad_norm": 23.0, + "grad_norm_var": 1.4247395833333334, + "learning_rate": 3.9911912768799655e-05, + "loss": 6.6901, + "loss/crossentropy": 2.170945703983307, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1837073266506195, + "step": 3389 + }, + { + "epoch": 0.565, + "grad_norm": 24.5, + "grad_norm_var": 1.3864583333333333, + "learning_rate": 3.9886272614119156e-05, + "loss": 6.775, + "loss/crossentropy": 1.6360955238342285, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.14598577842116356, + "step": 3390 + }, + { + "epoch": 0.5651666666666667, + "grad_norm": 23.125, + "grad_norm_var": 0.8864583333333333, + "learning_rate": 3.986063523217439e-05, + "loss": 6.6124, + "loss/crossentropy": 2.20369228720665, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.15537555888295174, + "step": 3391 + }, + { + "epoch": 0.5653333333333334, + "grad_norm": 24.375, + "grad_norm_var": 0.9580729166666667, + "learning_rate": 3.9835000629993955e-05, + "loss": 6.5396, + "loss/crossentropy": 1.632456213235855, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.13917001895606518, + "step": 3392 + }, + { + "epoch": 0.5655, + "grad_norm": 22.5, + "grad_norm_var": 0.990625, + "learning_rate": 3.9809368814605766e-05, + "loss": 6.7269, + "loss/crossentropy": 2.242364376783371, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.15798624977469444, + "step": 3393 + }, + { + "epoch": 0.5656666666666667, + "grad_norm": 24.875, + "grad_norm_var": 1.11015625, + "learning_rate": 3.978373979303691e-05, + "loss": 6.9481, + "loss/crossentropy": 2.0739828646183014, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.175305787473917, + "step": 3394 + }, + { + "epoch": 0.5658333333333333, + "grad_norm": 32.0, + "grad_norm_var": 5.714322916666666, + "learning_rate": 3.975811357231373e-05, + "loss": 6.8354, + "loss/crossentropy": 2.330332040786743, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.15654002502560616, + "step": 3395 + }, + { + "epoch": 0.566, + "grad_norm": 23.875, + "grad_norm_var": 5.680143229166666, + "learning_rate": 3.973249015946182e-05, + "loss": 6.6831, + "loss/crossentropy": 1.159422978758812, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1959695741534233, + "step": 3396 + }, + { + "epoch": 0.5661666666666667, + "grad_norm": 21.375, + "grad_norm_var": 6.044205729166666, + "learning_rate": 3.9706869561505946e-05, + "loss": 6.6794, + "loss/crossentropy": 1.558371677994728, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.17784042283892632, + "step": 3397 + }, + { + "epoch": 0.5663333333333334, + "grad_norm": 23.625, + "grad_norm_var": 5.99375, + "learning_rate": 3.968125178547015e-05, + "loss": 6.7804, + "loss/crossentropy": 1.8352745175361633, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.14312406815588474, + "step": 3398 + }, + { + "epoch": 0.5665, + "grad_norm": 22.75, + "grad_norm_var": 5.76015625, + "learning_rate": 3.965563683837771e-05, + "loss": 6.6235, + "loss/crossentropy": 1.8569936156272888, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.14674989506602287, + "step": 3399 + }, + { + "epoch": 0.5666666666666667, + "grad_norm": 20.75, + "grad_norm_var": 6.3119140625, + "learning_rate": 3.96300247272511e-05, + "loss": 6.4028, + "loss/crossentropy": 1.6354308128356934, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.14433087408542633, + "step": 3400 + }, + { + "epoch": 0.5668333333333333, + "grad_norm": 23.0, + "grad_norm_var": 6.301822916666667, + "learning_rate": 3.960441545911204e-05, + "loss": 6.7099, + "loss/crossentropy": 1.7750828266143799, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.1767562609165907, + "step": 3401 + }, + { + "epoch": 0.567, + "grad_norm": 23.375, + "grad_norm_var": 6.244791666666667, + "learning_rate": 3.957880904098143e-05, + "loss": 6.6057, + "loss/crossentropy": 1.7825127094984055, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.12945198267698288, + "step": 3402 + }, + { + "epoch": 0.5671666666666667, + "grad_norm": 22.5, + "grad_norm_var": 6.20390625, + "learning_rate": 3.955320547987943e-05, + "loss": 6.5086, + "loss/crossentropy": 2.051691710948944, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.14015798643231392, + "step": 3403 + }, + { + "epoch": 0.5673333333333334, + "grad_norm": 24.625, + "grad_norm_var": 6.099739583333333, + "learning_rate": 3.952760478282537e-05, + "loss": 6.6168, + "loss/crossentropy": 1.5745632648468018, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.15694712474942207, + "step": 3404 + }, + { + "epoch": 0.5675, + "grad_norm": 26.5, + "grad_norm_var": 6.508072916666666, + "learning_rate": 3.950200695683788e-05, + "loss": 6.7729, + "loss/crossentropy": 1.888975977897644, + "loss/hidden": 2.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.1537117399275303, + "step": 3405 + }, + { + "epoch": 0.5676666666666667, + "grad_norm": 22.875, + "grad_norm_var": 6.561393229166667, + "learning_rate": 3.947641200893473e-05, + "loss": 6.561, + "loss/crossentropy": 2.2150260508060455, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.20306901633739471, + "step": 3406 + }, + { + "epoch": 0.5678333333333333, + "grad_norm": 23.75, + "grad_norm_var": 6.52265625, + "learning_rate": 3.94508199461329e-05, + "loss": 6.7683, + "loss/crossentropy": 2.034975916147232, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1968495436012745, + "step": 3407 + }, + { + "epoch": 0.568, + "grad_norm": 22.625, + "grad_norm_var": 6.608333333333333, + "learning_rate": 3.942523077544861e-05, + "loss": 6.5166, + "loss/crossentropy": 2.2014267444610596, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.15948358550667763, + "step": 3408 + }, + { + "epoch": 0.5681666666666667, + "grad_norm": 22.75, + "grad_norm_var": 6.568489583333333, + "learning_rate": 3.939964450389728e-05, + "loss": 6.6114, + "loss/crossentropy": 1.932056486606598, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.16067644581198692, + "step": 3409 + }, + { + "epoch": 0.5683333333333334, + "grad_norm": 22.5, + "grad_norm_var": 6.589518229166667, + "learning_rate": 3.937406113849351e-05, + "loss": 6.3823, + "loss/crossentropy": 1.8667366057634354, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1538286730647087, + "step": 3410 + }, + { + "epoch": 0.5685, + "grad_norm": 24.25, + "grad_norm_var": 1.7457682291666667, + "learning_rate": 3.9348480686251176e-05, + "loss": 6.8064, + "loss/crossentropy": 1.5606550872325897, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16382981464266777, + "step": 3411 + }, + { + "epoch": 0.5686666666666667, + "grad_norm": 23.875, + "grad_norm_var": 1.7457682291666667, + "learning_rate": 3.9322903154183263e-05, + "loss": 6.8841, + "loss/crossentropy": 2.113682985305786, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.14991644583642483, + "step": 3412 + }, + { + "epoch": 0.5688333333333333, + "grad_norm": 23.5, + "grad_norm_var": 1.5122395833333333, + "learning_rate": 3.9297328549302e-05, + "loss": 6.7501, + "loss/crossentropy": 1.4257198423147202, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.20392941683530807, + "step": 3413 + }, + { + "epoch": 0.569, + "grad_norm": 23.5, + "grad_norm_var": 1.5082682291666667, + "learning_rate": 3.9271756878618825e-05, + "loss": 6.7689, + "loss/crossentropy": 2.1667220294475555, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15775364823639393, + "step": 3414 + }, + { + "epoch": 0.5691666666666667, + "grad_norm": 23.5, + "grad_norm_var": 1.4863932291666666, + "learning_rate": 3.9246188149144346e-05, + "loss": 6.7182, + "loss/crossentropy": 2.1148255467414856, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.16158907115459442, + "step": 3415 + }, + { + "epoch": 0.5693333333333334, + "grad_norm": 23.0, + "grad_norm_var": 1.0176432291666666, + "learning_rate": 3.922062236788836e-05, + "loss": 6.8695, + "loss/crossentropy": 1.8211083710193634, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17705246061086655, + "step": 3416 + }, + { + "epoch": 0.5695, + "grad_norm": 24.0, + "grad_norm_var": 1.0124348958333333, + "learning_rate": 3.91950595418599e-05, + "loss": 6.3705, + "loss/crossentropy": 1.8411234021186829, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.15087740123271942, + "step": 3417 + }, + { + "epoch": 0.5696666666666667, + "grad_norm": 22.625, + "grad_norm_var": 1.0671223958333333, + "learning_rate": 3.916949967806715e-05, + "loss": 6.5209, + "loss/crossentropy": 1.6540233194828033, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.13110540062189102, + "step": 3418 + }, + { + "epoch": 0.5698333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.0671223958333333, + "learning_rate": 3.914394278351749e-05, + "loss": 6.5374, + "loss/crossentropy": 2.382618248462677, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.15763133764266968, + "step": 3419 + }, + { + "epoch": 0.57, + "grad_norm": 23.5, + "grad_norm_var": 0.9809895833333333, + "learning_rate": 3.911838886521748e-05, + "loss": 6.6576, + "loss/crossentropy": 2.1960910260677338, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1720486730337143, + "step": 3420 + }, + { + "epoch": 0.5701666666666667, + "grad_norm": 22.875, + "grad_norm_var": 0.32962239583333336, + "learning_rate": 3.9092837930172884e-05, + "loss": 6.7198, + "loss/crossentropy": 1.9074234664440155, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.13825491443276405, + "step": 3421 + }, + { + "epoch": 0.5703333333333334, + "grad_norm": 22.5, + "grad_norm_var": 0.35598958333333336, + "learning_rate": 3.906728998538862e-05, + "loss": 6.5072, + "loss/crossentropy": 1.9825813472270966, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15001270547509193, + "step": 3422 + }, + { + "epoch": 0.5705, + "grad_norm": 23.75, + "grad_norm_var": 0.35598958333333336, + "learning_rate": 3.9041745037868816e-05, + "loss": 6.5199, + "loss/crossentropy": 1.2191499471664429, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14915701746940613, + "step": 3423 + }, + { + "epoch": 0.5706666666666667, + "grad_norm": 25.5, + "grad_norm_var": 0.6509765625, + "learning_rate": 3.901620309461677e-05, + "loss": 6.8363, + "loss/crossentropy": 1.7987927198410034, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1609109677374363, + "step": 3424 + }, + { + "epoch": 0.5708333333333333, + "grad_norm": 21.875, + "grad_norm_var": 0.77265625, + "learning_rate": 3.899066416263493e-05, + "loss": 6.5409, + "loss/crossentropy": 2.0500091910362244, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14223159849643707, + "step": 3425 + }, + { + "epoch": 0.571, + "grad_norm": 25.625, + "grad_norm_var": 1.0379557291666666, + "learning_rate": 3.896512824892495e-05, + "loss": 6.6462, + "loss/crossentropy": 1.6277918368577957, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1579800583422184, + "step": 3426 + }, + { + "epoch": 0.5711666666666667, + "grad_norm": 21.75, + "grad_norm_var": 1.1863932291666666, + "learning_rate": 3.8939595360487656e-05, + "loss": 6.6308, + "loss/crossentropy": 1.6318851709365845, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.13940344005823135, + "step": 3427 + }, + { + "epoch": 0.5713333333333334, + "grad_norm": 22.625, + "grad_norm_var": 1.1994140625, + "learning_rate": 3.891406550432301e-05, + "loss": 6.5003, + "loss/crossentropy": 1.40800341963768, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.13886662013828754, + "step": 3428 + }, + { + "epoch": 0.5715, + "grad_norm": 22.125, + "grad_norm_var": 1.27890625, + "learning_rate": 3.8888538687430184e-05, + "loss": 6.529, + "loss/crossentropy": 1.7000588178634644, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16188815794885159, + "step": 3429 + }, + { + "epoch": 0.5716666666666667, + "grad_norm": 23.375, + "grad_norm_var": 1.2749348958333333, + "learning_rate": 3.88630149168075e-05, + "loss": 6.6588, + "loss/crossentropy": 2.097287952899933, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.18708154186606407, + "step": 3430 + }, + { + "epoch": 0.5718333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.3405598958333333, + "learning_rate": 3.883749419945244e-05, + "loss": 6.7618, + "loss/crossentropy": 1.934756487607956, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.20228060334920883, + "step": 3431 + }, + { + "epoch": 0.572, + "grad_norm": 21.5, + "grad_norm_var": 1.5296223958333333, + "learning_rate": 3.881197654236165e-05, + "loss": 6.6334, + "loss/crossentropy": 1.9375532269477844, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.14285361766815186, + "step": 3432 + }, + { + "epoch": 0.5721666666666667, + "grad_norm": 24.0, + "grad_norm_var": 1.5296223958333333, + "learning_rate": 3.878646195253095e-05, + "loss": 6.9433, + "loss/crossentropy": 1.2876274585723877, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.20711680501699448, + "step": 3433 + }, + { + "epoch": 0.5723333333333334, + "grad_norm": 24.0, + "grad_norm_var": 1.5518229166666666, + "learning_rate": 3.876095043695529e-05, + "loss": 6.5388, + "loss/crossentropy": 2.1450616121292114, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.15367698296904564, + "step": 3434 + }, + { + "epoch": 0.5725, + "grad_norm": 23.375, + "grad_norm_var": 1.5139973958333333, + "learning_rate": 3.873544200262883e-05, + "loss": 6.7815, + "loss/crossentropy": 2.1567180156707764, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.25432110391557217, + "step": 3435 + }, + { + "epoch": 0.5726666666666667, + "grad_norm": 22.875, + "grad_norm_var": 1.5208333333333333, + "learning_rate": 3.870993665654482e-05, + "loss": 6.6771, + "loss/crossentropy": 1.8591249287128448, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15700731053948402, + "step": 3436 + }, + { + "epoch": 0.5728333333333333, + "grad_norm": 23.875, + "grad_norm_var": 1.5333333333333334, + "learning_rate": 3.868443440569571e-05, + "loss": 6.7443, + "loss/crossentropy": 1.6532323956489563, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.16116328537464142, + "step": 3437 + }, + { + "epoch": 0.573, + "grad_norm": 25.0, + "grad_norm_var": 1.653125, + "learning_rate": 3.865893525707309e-05, + "loss": 6.6695, + "loss/crossentropy": 2.0738050639629364, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.15241187438368797, + "step": 3438 + }, + { + "epoch": 0.5731666666666667, + "grad_norm": 22.625, + "grad_norm_var": 1.6900390625, + "learning_rate": 3.863343921766769e-05, + "loss": 6.6131, + "loss/crossentropy": 2.064491778612137, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1624951809644699, + "step": 3439 + }, + { + "epoch": 0.5733333333333334, + "grad_norm": 25.125, + "grad_norm_var": 1.59375, + "learning_rate": 3.860794629446938e-05, + "loss": 6.6347, + "loss/crossentropy": 1.5546965301036835, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.14402173832058907, + "step": 3440 + }, + { + "epoch": 0.5735, + "grad_norm": 22.875, + "grad_norm_var": 1.45625, + "learning_rate": 3.858245649446721e-05, + "loss": 6.7979, + "loss/crossentropy": 2.166908770799637, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1982208453118801, + "step": 3441 + }, + { + "epoch": 0.5736666666666667, + "grad_norm": 22.25, + "grad_norm_var": 1.1837890625, + "learning_rate": 3.8556969824649355e-05, + "loss": 6.5376, + "loss/crossentropy": 2.1368186473846436, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.17710309848189354, + "step": 3442 + }, + { + "epoch": 0.5738333333333333, + "grad_norm": 22.125, + "grad_norm_var": 1.11875, + "learning_rate": 3.853148629200312e-05, + "loss": 6.6811, + "loss/crossentropy": 1.5795308947563171, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.14555073156952858, + "step": 3443 + }, + { + "epoch": 0.574, + "grad_norm": 23.375, + "grad_norm_var": 1.09140625, + "learning_rate": 3.850600590351496e-05, + "loss": 6.7935, + "loss/crossentropy": 1.932857096195221, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.13202393427491188, + "step": 3444 + }, + { + "epoch": 0.5741666666666667, + "grad_norm": 25.375, + "grad_norm_var": 1.24375, + "learning_rate": 3.848052866617049e-05, + "loss": 6.6922, + "loss/crossentropy": 1.833081692457199, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.152386836707592, + "step": 3445 + }, + { + "epoch": 0.5743333333333334, + "grad_norm": 21.375, + "grad_norm_var": 1.5270833333333333, + "learning_rate": 3.845505458695437e-05, + "loss": 6.5549, + "loss/crossentropy": 1.6770507991313934, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.13204367831349373, + "step": 3446 + }, + { + "epoch": 0.5745, + "grad_norm": 22.625, + "grad_norm_var": 1.5025390625, + "learning_rate": 3.842958367285056e-05, + "loss": 6.5954, + "loss/crossentropy": 1.7520294785499573, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1445582788437605, + "step": 3447 + }, + { + "epoch": 0.5746666666666667, + "grad_norm": 23.25, + "grad_norm_var": 1.2801432291666666, + "learning_rate": 3.840411593084199e-05, + "loss": 6.5286, + "loss/crossentropy": 1.8843618035316467, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15853054076433182, + "step": 3448 + }, + { + "epoch": 0.5748333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.3046223958333334, + "learning_rate": 3.83786513679108e-05, + "loss": 6.3838, + "loss/crossentropy": 1.7845996171236038, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.15923064574599266, + "step": 3449 + }, + { + "epoch": 0.575, + "grad_norm": 24.25, + "grad_norm_var": 1.3285807291666667, + "learning_rate": 3.8353189991038266e-05, + "loss": 6.6404, + "loss/crossentropy": 1.8567257523536682, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.16884798929095268, + "step": 3450 + }, + { + "epoch": 0.5751666666666667, + "grad_norm": 22.875, + "grad_norm_var": 1.3468098958333334, + "learning_rate": 3.832773180720475e-05, + "loss": 6.5767, + "loss/crossentropy": 1.4303143620491028, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.13851018249988556, + "step": 3451 + }, + { + "epoch": 0.5753333333333334, + "grad_norm": 24.125, + "grad_norm_var": 1.3598307291666667, + "learning_rate": 3.8302276823389725e-05, + "loss": 6.6841, + "loss/crossentropy": 1.6839266419410706, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1449173241853714, + "step": 3452 + }, + { + "epoch": 0.5755, + "grad_norm": 22.875, + "grad_norm_var": 1.3671223958333334, + "learning_rate": 3.827682504657187e-05, + "loss": 6.6436, + "loss/crossentropy": 1.9759444296360016, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.1508376095443964, + "step": 3453 + }, + { + "epoch": 0.5756666666666667, + "grad_norm": 23.875, + "grad_norm_var": 1.2059895833333334, + "learning_rate": 3.825137648372893e-05, + "loss": 6.7791, + "loss/crossentropy": 1.5977716743946075, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1987085696309805, + "step": 3454 + }, + { + "epoch": 0.5758333333333333, + "grad_norm": 24.125, + "grad_norm_var": 1.2059895833333334, + "learning_rate": 3.822593114183777e-05, + "loss": 6.7341, + "loss/crossentropy": 1.6505141258239746, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.15302810817956924, + "step": 3455 + }, + { + "epoch": 0.576, + "grad_norm": 23.75, + "grad_norm_var": 1.0119140625, + "learning_rate": 3.820048902787435e-05, + "loss": 6.4138, + "loss/crossentropy": 1.4753221273422241, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.14336255192756653, + "step": 3456 + }, + { + "epoch": 0.5761666666666667, + "grad_norm": 21.5, + "grad_norm_var": 1.2145833333333333, + "learning_rate": 3.817505014881378e-05, + "loss": 6.5786, + "loss/crossentropy": 1.6387478709220886, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.16785724833607674, + "step": 3457 + }, + { + "epoch": 0.5763333333333334, + "grad_norm": 22.0, + "grad_norm_var": 1.2518229166666666, + "learning_rate": 3.814961451163026e-05, + "loss": 6.6705, + "loss/crossentropy": 1.5266838520765305, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.16764168813824654, + "step": 3458 + }, + { + "epoch": 0.5765, + "grad_norm": 23.625, + "grad_norm_var": 1.1705729166666667, + "learning_rate": 3.812418212329715e-05, + "loss": 6.5551, + "loss/crossentropy": 2.2543323040008545, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1717928946018219, + "step": 3459 + }, + { + "epoch": 0.5766666666666667, + "grad_norm": 23.75, + "grad_norm_var": 1.1817057291666666, + "learning_rate": 3.809875299078688e-05, + "loss": 6.9334, + "loss/crossentropy": 2.0824941992759705, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.16928860917687416, + "step": 3460 + }, + { + "epoch": 0.5768333333333333, + "grad_norm": 22.75, + "grad_norm_var": 0.9041666666666667, + "learning_rate": 3.807332712107097e-05, + "loss": 6.5068, + "loss/crossentropy": 1.934444546699524, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.14957445859909058, + "step": 3461 + }, + { + "epoch": 0.577, + "grad_norm": 22.0, + "grad_norm_var": 0.7775390625, + "learning_rate": 3.804790452112006e-05, + "loss": 6.6391, + "loss/crossentropy": 1.737284392118454, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14582527801394463, + "step": 3462 + }, + { + "epoch": 0.5771666666666667, + "grad_norm": 25.75, + "grad_norm_var": 1.1372395833333333, + "learning_rate": 3.8022485197903925e-05, + "loss": 6.8073, + "loss/crossentropy": 2.1332211196422577, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.15716217085719109, + "step": 3463 + }, + { + "epoch": 0.5773333333333334, + "grad_norm": 23.5, + "grad_norm_var": 1.1354166666666667, + "learning_rate": 3.799706915839137e-05, + "loss": 6.6115, + "loss/crossentropy": 2.0917477905750275, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.22209706902503967, + "step": 3464 + }, + { + "epoch": 0.5775, + "grad_norm": 23.875, + "grad_norm_var": 1.1035807291666666, + "learning_rate": 3.797165640955041e-05, + "loss": 6.7501, + "loss/crossentropy": 2.2367251813411713, + "loss/hidden": 2.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.15865993686020374, + "step": 3465 + }, + { + "epoch": 0.5776666666666667, + "grad_norm": 21.5, + "grad_norm_var": 1.2697265625, + "learning_rate": 3.794624695834808e-05, + "loss": 6.6646, + "loss/crossentropy": 2.2332395017147064, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.1484888792037964, + "step": 3466 + }, + { + "epoch": 0.5778333333333333, + "grad_norm": 23.625, + "grad_norm_var": 1.2681640625, + "learning_rate": 3.792084081175049e-05, + "loss": 6.5524, + "loss/crossentropy": 1.8430427461862564, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.13099516741931438, + "step": 3467 + }, + { + "epoch": 0.578, + "grad_norm": 22.0, + "grad_norm_var": 1.3135416666666666, + "learning_rate": 3.78954379767229e-05, + "loss": 6.6425, + "loss/crossentropy": 2.0339032858610153, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.17339175939559937, + "step": 3468 + }, + { + "epoch": 0.5781666666666667, + "grad_norm": 22.625, + "grad_norm_var": 1.3268229166666667, + "learning_rate": 3.787003846022964e-05, + "loss": 6.318, + "loss/crossentropy": 1.8389391154050827, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.14606228470802307, + "step": 3469 + }, + { + "epoch": 0.5783333333333334, + "grad_norm": 23.0, + "grad_norm_var": 1.2889973958333334, + "learning_rate": 3.7844642269234106e-05, + "loss": 6.457, + "loss/crossentropy": 1.0412392765283585, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.14356513693928719, + "step": 3470 + }, + { + "epoch": 0.5785, + "grad_norm": 21.875, + "grad_norm_var": 1.2936848958333333, + "learning_rate": 3.781924941069888e-05, + "loss": 6.5421, + "loss/crossentropy": 2.0891698598861694, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.14826876670122147, + "step": 3471 + }, + { + "epoch": 0.5786666666666667, + "grad_norm": 21.125, + "grad_norm_var": 1.4427083333333333, + "learning_rate": 3.779385989158549e-05, + "loss": 6.4997, + "loss/crossentropy": 1.8069830536842346, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1477137953042984, + "step": 3472 + }, + { + "epoch": 0.5788333333333333, + "grad_norm": 23.25, + "grad_norm_var": 1.33515625, + "learning_rate": 3.776847371885464e-05, + "loss": 6.5819, + "loss/crossentropy": 1.8103602826595306, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.13382764533162117, + "step": 3473 + }, + { + "epoch": 0.579, + "grad_norm": 22.875, + "grad_norm_var": 1.2791015625, + "learning_rate": 3.7743090899466096e-05, + "loss": 6.6077, + "loss/crossentropy": 1.6538220643997192, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1480567865073681, + "step": 3474 + }, + { + "epoch": 0.5791666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.246875, + "learning_rate": 3.7717711440378694e-05, + "loss": 6.5847, + "loss/crossentropy": 2.1027089655399323, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.19219620153307915, + "step": 3475 + }, + { + "epoch": 0.5793333333333334, + "grad_norm": 24.625, + "grad_norm_var": 1.3931640625, + "learning_rate": 3.769233534855035e-05, + "loss": 6.5294, + "loss/crossentropy": 1.8093269169330597, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.14349160343408585, + "step": 3476 + }, + { + "epoch": 0.5795, + "grad_norm": 23.875, + "grad_norm_var": 1.440625, + "learning_rate": 3.7666962630938084e-05, + "loss": 6.8128, + "loss/crossentropy": 1.7525154054164886, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.19660911336541176, + "step": 3477 + }, + { + "epoch": 0.5796666666666667, + "grad_norm": 25.5, + "grad_norm_var": 1.725, + "learning_rate": 3.764159329449796e-05, + "loss": 6.6736, + "loss/crossentropy": 1.746736317873001, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1380898430943489, + "step": 3478 + }, + { + "epoch": 0.5798333333333333, + "grad_norm": 23.125, + "grad_norm_var": 1.2806640625, + "learning_rate": 3.761622734618513e-05, + "loss": 6.5631, + "loss/crossentropy": 1.7091480493545532, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.13785721734166145, + "step": 3479 + }, + { + "epoch": 0.58, + "grad_norm": 22.375, + "grad_norm_var": 1.29765625, + "learning_rate": 3.75908647929538e-05, + "loss": 6.4654, + "loss/crossentropy": 1.4110174477100372, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.156083382666111, + "step": 3480 + }, + { + "epoch": 0.5801666666666667, + "grad_norm": 21.25, + "grad_norm_var": 1.4275390625, + "learning_rate": 3.756550564175727e-05, + "loss": 6.4571, + "loss/crossentropy": 2.1240718364715576, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.1311317626386881, + "step": 3481 + }, + { + "epoch": 0.5803333333333334, + "grad_norm": 26.0, + "grad_norm_var": 1.8822265625, + "learning_rate": 3.754014989954788e-05, + "loss": 6.5931, + "loss/crossentropy": 1.54404778778553, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1600414626300335, + "step": 3482 + }, + { + "epoch": 0.5805, + "grad_norm": 22.0, + "grad_norm_var": 1.940625, + "learning_rate": 3.751479757327707e-05, + "loss": 6.79, + "loss/crossentropy": 2.190447986125946, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.29143349826335907, + "step": 3483 + }, + { + "epoch": 0.5806666666666667, + "grad_norm": 21.375, + "grad_norm_var": 2.0509765625, + "learning_rate": 3.7489448669895324e-05, + "loss": 6.5032, + "loss/crossentropy": 1.8092015385627747, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.16868571564555168, + "step": 3484 + }, + { + "epoch": 0.5808333333333333, + "grad_norm": 24.25, + "grad_norm_var": 2.136458333333333, + "learning_rate": 3.746410319635217e-05, + "loss": 6.7029, + "loss/crossentropy": 1.9211362898349762, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.16300155967473984, + "step": 3485 + }, + { + "epoch": 0.581, + "grad_norm": 23.375, + "grad_norm_var": 2.1405598958333334, + "learning_rate": 3.7438761159596225e-05, + "loss": 6.7137, + "loss/crossentropy": 2.1451260447502136, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.14178958162665367, + "step": 3486 + }, + { + "epoch": 0.5811666666666667, + "grad_norm": 24.375, + "grad_norm_var": 2.1171223958333334, + "learning_rate": 3.741342256657515e-05, + "loss": 6.8552, + "loss/crossentropy": 1.759334772825241, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.20287255942821503, + "step": 3487 + }, + { + "epoch": 0.5813333333333334, + "grad_norm": 24.0, + "grad_norm_var": 1.81015625, + "learning_rate": 3.738808742423566e-05, + "loss": 6.281, + "loss/crossentropy": 1.9376732409000397, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.15668026730418205, + "step": 3488 + }, + { + "epoch": 0.5815, + "grad_norm": 23.125, + "grad_norm_var": 1.8145182291666666, + "learning_rate": 3.736275573952354e-05, + "loss": 6.7404, + "loss/crossentropy": 1.8202326595783234, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.16694308072328568, + "step": 3489 + }, + { + "epoch": 0.5816666666666667, + "grad_norm": 21.625, + "grad_norm_var": 2.0072265625, + "learning_rate": 3.7337427519383595e-05, + "loss": 6.4403, + "loss/crossentropy": 1.657755970954895, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15854546427726746, + "step": 3490 + }, + { + "epoch": 0.5818333333333333, + "grad_norm": 23.0, + "grad_norm_var": 2.0072265625, + "learning_rate": 3.731210277075972e-05, + "loss": 6.7544, + "loss/crossentropy": 2.1970396041870117, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.19520031660795212, + "step": 3491 + }, + { + "epoch": 0.582, + "grad_norm": 22.125, + "grad_norm_var": 1.9785807291666666, + "learning_rate": 3.728678150059484e-05, + "loss": 6.3378, + "loss/crossentropy": 2.0695878863334656, + "loss/hidden": 2.89453125, + "loss/jsd": 0.0, + "loss/logits": 0.12449957430362701, + "step": 3492 + }, + { + "epoch": 0.5821666666666667, + "grad_norm": 28.125, + "grad_norm_var": 3.4837890625, + "learning_rate": 3.72614637158309e-05, + "loss": 6.5762, + "loss/crossentropy": 1.9949890673160553, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.12829595990478992, + "step": 3493 + }, + { + "epoch": 0.5823333333333334, + "grad_norm": 23.375, + "grad_norm_var": 3.1927083333333335, + "learning_rate": 3.723614942340892e-05, + "loss": 6.6672, + "loss/crossentropy": 1.414372742176056, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.13078933209180832, + "step": 3494 + }, + { + "epoch": 0.5825, + "grad_norm": 21.5, + "grad_norm_var": 3.405143229166667, + "learning_rate": 3.7210838630268986e-05, + "loss": 6.6113, + "loss/crossentropy": 2.2654537856578827, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.1639493778347969, + "step": 3495 + }, + { + "epoch": 0.5826666666666667, + "grad_norm": 21.625, + "grad_norm_var": 3.5270182291666665, + "learning_rate": 3.718553134335017e-05, + "loss": 6.5278, + "loss/crossentropy": 1.9492260217666626, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16090886667370796, + "step": 3496 + }, + { + "epoch": 0.5828333333333333, + "grad_norm": 22.25, + "grad_norm_var": 3.3301432291666666, + "learning_rate": 3.716022756959061e-05, + "loss": 6.6677, + "loss/crossentropy": 1.663444697856903, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.1435239128768444, + "step": 3497 + }, + { + "epoch": 0.583, + "grad_norm": 23.125, + "grad_norm_var": 2.7955729166666665, + "learning_rate": 3.713492731592749e-05, + "loss": 6.9051, + "loss/crossentropy": 1.9874556958675385, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.15492261573672295, + "step": 3498 + }, + { + "epoch": 0.5831666666666667, + "grad_norm": 22.625, + "grad_norm_var": 2.7301432291666665, + "learning_rate": 3.710963058929701e-05, + "loss": 6.6097, + "loss/crossentropy": 1.9153551161289215, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.16408979147672653, + "step": 3499 + }, + { + "epoch": 0.5833333333333334, + "grad_norm": 21.0, + "grad_norm_var": 2.826041666666667, + "learning_rate": 3.708433739663441e-05, + "loss": 6.5627, + "loss/crossentropy": 1.7874080836772919, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.13899968937039375, + "step": 3500 + }, + { + "epoch": 0.5835, + "grad_norm": 23.0, + "grad_norm_var": 2.7309895833333333, + "learning_rate": 3.705904774487396e-05, + "loss": 6.8154, + "loss/crossentropy": 2.3812708258628845, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.15399790927767754, + "step": 3501 + }, + { + "epoch": 0.5836666666666667, + "grad_norm": 25.875, + "grad_norm_var": 3.24140625, + "learning_rate": 3.7033761640948975e-05, + "loss": 6.6856, + "loss/crossentropy": 1.972432792186737, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1772916503250599, + "step": 3502 + }, + { + "epoch": 0.5838333333333333, + "grad_norm": 23.5, + "grad_norm_var": 3.1488932291666667, + "learning_rate": 3.700847909179177e-05, + "loss": 6.5669, + "loss/crossentropy": 2.1612648963928223, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.14112816378474236, + "step": 3503 + }, + { + "epoch": 0.584, + "grad_norm": 26.125, + "grad_norm_var": 3.68125, + "learning_rate": 3.6983200104333705e-05, + "loss": 7.1487, + "loss/crossentropy": 2.134648233652115, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.29508422315120697, + "step": 3504 + }, + { + "epoch": 0.5841666666666666, + "grad_norm": 22.0, + "grad_norm_var": 3.7791015625, + "learning_rate": 3.6957924685505167e-05, + "loss": 6.6987, + "loss/crossentropy": 1.66801056265831, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15440008975565434, + "step": 3505 + }, + { + "epoch": 0.5843333333333334, + "grad_norm": 22.25, + "grad_norm_var": 3.673958333333333, + "learning_rate": 3.693265284223554e-05, + "loss": 6.611, + "loss/crossentropy": 1.1092834770679474, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1271449364721775, + "step": 3506 + }, + { + "epoch": 0.5845, + "grad_norm": 23.5, + "grad_norm_var": 3.675, + "learning_rate": 3.690738458145322e-05, + "loss": 6.8266, + "loss/crossentropy": 2.2859581410884857, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.208147332072258, + "step": 3507 + }, + { + "epoch": 0.5846666666666667, + "grad_norm": 21.25, + "grad_norm_var": 3.8541015625, + "learning_rate": 3.68821199100857e-05, + "loss": 6.5511, + "loss/crossentropy": 1.94658724963665, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.15678870491683483, + "step": 3508 + }, + { + "epoch": 0.5848333333333333, + "grad_norm": 23.0, + "grad_norm_var": 2.127083333333333, + "learning_rate": 3.68568588350594e-05, + "loss": 6.4812, + "loss/crossentropy": 1.813439816236496, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.20512272790074348, + "step": 3509 + }, + { + "epoch": 0.585, + "grad_norm": 24.25, + "grad_norm_var": 2.233268229166667, + "learning_rate": 3.683160136329981e-05, + "loss": 6.6193, + "loss/crossentropy": 1.4250743389129639, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.14858468063175678, + "step": 3510 + }, + { + "epoch": 0.5851666666666666, + "grad_norm": 22.125, + "grad_norm_var": 2.138541666666667, + "learning_rate": 3.680634750173137e-05, + "loss": 6.8535, + "loss/crossentropy": 2.1522387266159058, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.1612672135233879, + "step": 3511 + }, + { + "epoch": 0.5853333333333334, + "grad_norm": 24.125, + "grad_norm_var": 2.08125, + "learning_rate": 3.6781097257277595e-05, + "loss": 6.6885, + "loss/crossentropy": 1.9962265491485596, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.14112831838428974, + "step": 3512 + }, + { + "epoch": 0.5855, + "grad_norm": 22.375, + "grad_norm_var": 2.067643229166667, + "learning_rate": 3.6755850636860954e-05, + "loss": 6.6616, + "loss/crossentropy": 1.961294248700142, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.12336640432476997, + "step": 3513 + }, + { + "epoch": 0.5856666666666667, + "grad_norm": 23.75, + "grad_norm_var": 2.09140625, + "learning_rate": 3.6730607647403005e-05, + "loss": 6.5078, + "loss/crossentropy": 1.8184293508529663, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.14718231931328773, + "step": 3514 + }, + { + "epoch": 0.5858333333333333, + "grad_norm": 23.875, + "grad_norm_var": 2.097916666666667, + "learning_rate": 3.670536829582424e-05, + "loss": 6.7207, + "loss/crossentropy": 1.744212806224823, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.16495974361896515, + "step": 3515 + }, + { + "epoch": 0.586, + "grad_norm": 21.375, + "grad_norm_var": 1.9942057291666666, + "learning_rate": 3.6680132589044136e-05, + "loss": 6.4947, + "loss/crossentropy": 1.6613636761903763, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.1402755081653595, + "step": 3516 + }, + { + "epoch": 0.5861666666666666, + "grad_norm": 22.5, + "grad_norm_var": 2.028059895833333, + "learning_rate": 3.665490053398123e-05, + "loss": 6.7034, + "loss/crossentropy": 1.882606714963913, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.14512200094759464, + "step": 3517 + }, + { + "epoch": 0.5863333333333334, + "grad_norm": 23.375, + "grad_norm_var": 1.5410807291666666, + "learning_rate": 3.662967213755304e-05, + "loss": 6.576, + "loss/crossentropy": 2.121318221092224, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.14045587927103043, + "step": 3518 + }, + { + "epoch": 0.5865, + "grad_norm": 23.125, + "grad_norm_var": 1.5291666666666666, + "learning_rate": 3.6604447406676036e-05, + "loss": 6.913, + "loss/crossentropy": 1.832062155008316, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.1409948356449604, + "step": 3519 + }, + { + "epoch": 0.5866666666666667, + "grad_norm": 21.875, + "grad_norm_var": 0.92265625, + "learning_rate": 3.657922634826578e-05, + "loss": 6.6012, + "loss/crossentropy": 2.1827723383903503, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.12543032318353653, + "step": 3520 + }, + { + "epoch": 0.5868333333333333, + "grad_norm": 22.25, + "grad_norm_var": 0.9, + "learning_rate": 3.655400896923672e-05, + "loss": 6.5492, + "loss/crossentropy": 2.0506061613559723, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14109061285853386, + "step": 3521 + }, + { + "epoch": 0.587, + "grad_norm": 22.375, + "grad_norm_var": 0.8916015625, + "learning_rate": 3.652879527650237e-05, + "loss": 6.4994, + "loss/crossentropy": 2.0452170968055725, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14300261437892914, + "step": 3522 + }, + { + "epoch": 0.5871666666666666, + "grad_norm": 23.5, + "grad_norm_var": 0.8916015625, + "learning_rate": 3.650358527697519e-05, + "loss": 6.7269, + "loss/crossentropy": 1.7086977064609528, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.16705477237701416, + "step": 3523 + }, + { + "epoch": 0.5873333333333334, + "grad_norm": 21.625, + "grad_norm_var": 0.821875, + "learning_rate": 3.647837897756666e-05, + "loss": 6.6617, + "loss/crossentropy": 1.630045309662819, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.20024659112095833, + "step": 3524 + }, + { + "epoch": 0.5875, + "grad_norm": 22.75, + "grad_norm_var": 0.8205729166666667, + "learning_rate": 3.645317638518721e-05, + "loss": 6.5291, + "loss/crossentropy": 1.6649887263774872, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1536981500685215, + "step": 3525 + }, + { + "epoch": 0.5876666666666667, + "grad_norm": 23.0, + "grad_norm_var": 0.68125, + "learning_rate": 3.642797750674629e-05, + "loss": 6.5958, + "loss/crossentropy": 1.8858348727226257, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.13948918879032135, + "step": 3526 + }, + { + "epoch": 0.5878333333333333, + "grad_norm": 22.25, + "grad_norm_var": 0.6718098958333333, + "learning_rate": 3.640278234915232e-05, + "loss": 6.4321, + "loss/crossentropy": 2.2253728806972504, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.1613185703754425, + "step": 3527 + }, + { + "epoch": 0.588, + "grad_norm": 22.375, + "grad_norm_var": 0.5442057291666667, + "learning_rate": 3.6377590919312676e-05, + "loss": 6.7294, + "loss/crossentropy": 1.823175072669983, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16715503111481667, + "step": 3528 + }, + { + "epoch": 0.5881666666666666, + "grad_norm": 21.375, + "grad_norm_var": 0.6431640625, + "learning_rate": 3.635240322413374e-05, + "loss": 6.4693, + "loss/crossentropy": 1.536339282989502, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.12644962407648563, + "step": 3529 + }, + { + "epoch": 0.5883333333333334, + "grad_norm": 22.875, + "grad_norm_var": 0.5552083333333333, + "learning_rate": 3.6327219270520875e-05, + "loss": 6.2902, + "loss/crossentropy": 1.8444470167160034, + "loss/hidden": 2.9375, + "loss/jsd": 0.0, + "loss/logits": 0.13477681577205658, + "step": 3530 + }, + { + "epoch": 0.5885, + "grad_norm": 24.375, + "grad_norm_var": 0.6604166666666667, + "learning_rate": 3.630203906537838e-05, + "loss": 6.4767, + "loss/crossentropy": 2.0031768083572388, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15904276445508003, + "step": 3531 + }, + { + "epoch": 0.5886666666666667, + "grad_norm": 23.375, + "grad_norm_var": 0.59375, + "learning_rate": 3.627686261560957e-05, + "loss": 6.6689, + "loss/crossentropy": 1.5399586856365204, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.14440261013805866, + "step": 3532 + }, + { + "epoch": 0.5888333333333333, + "grad_norm": 23.625, + "grad_norm_var": 0.6447265625, + "learning_rate": 3.625168992811671e-05, + "loss": 6.4587, + "loss/crossentropy": 2.3817451000213623, + "loss/hidden": 2.921875, + "loss/jsd": 0.0, + "loss/logits": 0.13289443962275982, + "step": 3533 + }, + { + "epoch": 0.589, + "grad_norm": 21.75, + "grad_norm_var": 0.6760416666666667, + "learning_rate": 3.6226521009801025e-05, + "loss": 6.7909, + "loss/crossentropy": 1.404796838760376, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.14278000593185425, + "step": 3534 + }, + { + "epoch": 0.5891666666666666, + "grad_norm": 22.25, + "grad_norm_var": 0.6692057291666667, + "learning_rate": 3.620135586756273e-05, + "loss": 6.6586, + "loss/crossentropy": 2.098034769296646, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.14644629135727882, + "step": 3535 + }, + { + "epoch": 0.5893333333333334, + "grad_norm": 21.875, + "grad_norm_var": 0.6692057291666667, + "learning_rate": 3.617619450830097e-05, + "loss": 6.8502, + "loss/crossentropy": 1.927046686410904, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.16141659021377563, + "step": 3536 + }, + { + "epoch": 0.5895, + "grad_norm": 23.5, + "grad_norm_var": 0.7082682291666667, + "learning_rate": 3.615103693891388e-05, + "loss": 6.705, + "loss/crossentropy": 1.6337436363101006, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.12977760657668114, + "step": 3537 + }, + { + "epoch": 0.5896666666666667, + "grad_norm": 23.625, + "grad_norm_var": 0.7551432291666667, + "learning_rate": 3.612588316629858e-05, + "loss": 6.4101, + "loss/crossentropy": 1.483021318912506, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.13457175344228745, + "step": 3538 + }, + { + "epoch": 0.5898333333333333, + "grad_norm": 24.5, + "grad_norm_var": 0.9166015625, + "learning_rate": 3.610073319735109e-05, + "loss": 6.6135, + "loss/crossentropy": 1.920312225818634, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16708005219697952, + "step": 3539 + }, + { + "epoch": 0.59, + "grad_norm": 25.75, + "grad_norm_var": 1.32265625, + "learning_rate": 3.6075587038966424e-05, + "loss": 6.6736, + "loss/crossentropy": 1.9497016370296478, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.153127770870924, + "step": 3540 + }, + { + "epoch": 0.5901666666666666, + "grad_norm": 23.75, + "grad_norm_var": 1.34140625, + "learning_rate": 3.605044469803854e-05, + "loss": 6.7769, + "loss/crossentropy": 2.018428534269333, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.22979878820478916, + "step": 3541 + }, + { + "epoch": 0.5903333333333334, + "grad_norm": 22.875, + "grad_norm_var": 1.3447265625, + "learning_rate": 3.602530618146037e-05, + "loss": 6.7424, + "loss/crossentropy": 2.374105602502823, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14706843346357346, + "step": 3542 + }, + { + "epoch": 0.5905, + "grad_norm": 23.625, + "grad_norm_var": 1.3010416666666667, + "learning_rate": 3.600017149612375e-05, + "loss": 6.6825, + "loss/crossentropy": 2.3554003834724426, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.20713630691170692, + "step": 3543 + }, + { + "epoch": 0.5906666666666667, + "grad_norm": 23.125, + "grad_norm_var": 1.2518229166666666, + "learning_rate": 3.597504064891952e-05, + "loss": 6.9422, + "loss/crossentropy": 2.386921525001526, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.2074721772223711, + "step": 3544 + }, + { + "epoch": 0.5908333333333333, + "grad_norm": 24.0, + "grad_norm_var": 1.0207682291666667, + "learning_rate": 3.594991364673745e-05, + "loss": 6.804, + "loss/crossentropy": 1.6838167607784271, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1891578547656536, + "step": 3545 + }, + { + "epoch": 0.591, + "grad_norm": 23.0, + "grad_norm_var": 1.0125, + "learning_rate": 3.592479049646623e-05, + "loss": 6.8565, + "loss/crossentropy": 1.8859852105379105, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.16254203021526337, + "step": 3546 + }, + { + "epoch": 0.5911666666666666, + "grad_norm": 22.0, + "grad_norm_var": 1.0681640625, + "learning_rate": 3.589967120499353e-05, + "loss": 6.6947, + "loss/crossentropy": 2.3037064373493195, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.16455641761422157, + "step": 3547 + }, + { + "epoch": 0.5913333333333334, + "grad_norm": 21.75, + "grad_norm_var": 1.2145833333333333, + "learning_rate": 3.5874555779205944e-05, + "loss": 6.415, + "loss/crossentropy": 2.0320754051208496, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1576717421412468, + "step": 3548 + }, + { + "epoch": 0.5915, + "grad_norm": 22.375, + "grad_norm_var": 1.2393229166666666, + "learning_rate": 3.584944422598899e-05, + "loss": 6.6606, + "loss/crossentropy": 1.590817615389824, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1533467099070549, + "step": 3549 + }, + { + "epoch": 0.5916666666666667, + "grad_norm": 22.25, + "grad_norm_var": 1.1643229166666667, + "learning_rate": 3.582433655222717e-05, + "loss": 6.912, + "loss/crossentropy": 2.128371685743332, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.2549636960029602, + "step": 3550 + }, + { + "epoch": 0.5918333333333333, + "grad_norm": 21.5, + "grad_norm_var": 1.2885416666666667, + "learning_rate": 3.579923276480387e-05, + "loss": 6.1669, + "loss/crossentropy": 1.6121336221694946, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.14472229219973087, + "step": 3551 + }, + { + "epoch": 0.592, + "grad_norm": 22.375, + "grad_norm_var": 1.2229166666666667, + "learning_rate": 3.577413287060146e-05, + "loss": 6.8647, + "loss/crossentropy": 2.0133431553840637, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1834777481853962, + "step": 3552 + }, + { + "epoch": 0.5921666666666666, + "grad_norm": 22.875, + "grad_norm_var": 1.2160807291666667, + "learning_rate": 3.5749036876501194e-05, + "loss": 6.496, + "loss/crossentropy": 1.8901181817054749, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.15944313257932663, + "step": 3553 + }, + { + "epoch": 0.5923333333333334, + "grad_norm": 24.0, + "grad_norm_var": 1.2518229166666666, + "learning_rate": 3.5723944789383315e-05, + "loss": 6.5427, + "loss/crossentropy": 1.5737296044826508, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.14468258619308472, + "step": 3554 + }, + { + "epoch": 0.5925, + "grad_norm": 23.375, + "grad_norm_var": 1.1223307291666667, + "learning_rate": 3.5698856616126905e-05, + "loss": 6.5486, + "loss/crossentropy": 1.25084288418293, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.13618055172264576, + "step": 3555 + }, + { + "epoch": 0.5926666666666667, + "grad_norm": 21.875, + "grad_norm_var": 0.66015625, + "learning_rate": 3.567377236361008e-05, + "loss": 6.664, + "loss/crossentropy": 1.727052927017212, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.13518019765615463, + "step": 3556 + }, + { + "epoch": 0.5928333333333333, + "grad_norm": 23.0, + "grad_norm_var": 0.6, + "learning_rate": 3.564869203870982e-05, + "loss": 6.6183, + "loss/crossentropy": 1.6929286420345306, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.12494631856679916, + "step": 3557 + }, + { + "epoch": 0.593, + "grad_norm": 21.375, + "grad_norm_var": 0.715625, + "learning_rate": 3.5623615648302026e-05, + "loss": 6.4829, + "loss/crossentropy": 2.002485752105713, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.14366688951849937, + "step": 3558 + }, + { + "epoch": 0.5931666666666666, + "grad_norm": 23.25, + "grad_norm_var": 0.6759765625, + "learning_rate": 3.559854319926156e-05, + "loss": 6.4945, + "loss/crossentropy": 2.194752186536789, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.14948997646570206, + "step": 3559 + }, + { + "epoch": 0.5933333333333334, + "grad_norm": 24.875, + "grad_norm_var": 0.9822265625, + "learning_rate": 3.557347469846213e-05, + "loss": 6.7034, + "loss/crossentropy": 1.7671329975128174, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.14682994037866592, + "step": 3560 + }, + { + "epoch": 0.5935, + "grad_norm": 22.125, + "grad_norm_var": 0.8875, + "learning_rate": 3.554841015277641e-05, + "loss": 6.45, + "loss/crossentropy": 1.867423176765442, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.14864501170814037, + "step": 3561 + }, + { + "epoch": 0.5936666666666667, + "grad_norm": 21.75, + "grad_norm_var": 0.92265625, + "learning_rate": 3.552334956907604e-05, + "loss": 6.8537, + "loss/crossentropy": 1.8050127476453781, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.13090430945158005, + "step": 3562 + }, + { + "epoch": 0.5938333333333333, + "grad_norm": 22.125, + "grad_norm_var": 0.9145182291666667, + "learning_rate": 3.5498292954231496e-05, + "loss": 6.3791, + "loss/crossentropy": 1.5761258900165558, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.14294780977070332, + "step": 3563 + }, + { + "epoch": 0.594, + "grad_norm": 21.75, + "grad_norm_var": 0.9145182291666667, + "learning_rate": 3.547324031511218e-05, + "loss": 6.5361, + "loss/crossentropy": 2.2615157067775726, + "loss/hidden": 2.9375, + "loss/jsd": 0.0, + "loss/logits": 0.1487020067870617, + "step": 3564 + }, + { + "epoch": 0.5941666666666666, + "grad_norm": 23.375, + "grad_norm_var": 0.9530598958333333, + "learning_rate": 3.544819165858642e-05, + "loss": 6.7743, + "loss/crossentropy": 2.0681850910186768, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.1557827852666378, + "step": 3565 + }, + { + "epoch": 0.5943333333333334, + "grad_norm": 22.25, + "grad_norm_var": 0.9530598958333333, + "learning_rate": 3.542314699152145e-05, + "loss": 6.4111, + "loss/crossentropy": 1.5767858922481537, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.15184356644749641, + "step": 3566 + }, + { + "epoch": 0.5945, + "grad_norm": 22.375, + "grad_norm_var": 0.8705729166666667, + "learning_rate": 3.539810632078338e-05, + "loss": 6.7483, + "loss/crossentropy": 1.924806386232376, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.1528259888291359, + "step": 3567 + }, + { + "epoch": 0.5946666666666667, + "grad_norm": 22.625, + "grad_norm_var": 0.8645833333333334, + "learning_rate": 3.5373069653237295e-05, + "loss": 6.7713, + "loss/crossentropy": 1.5320045351982117, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.15600822865962982, + "step": 3568 + }, + { + "epoch": 0.5948333333333333, + "grad_norm": 22.875, + "grad_norm_var": 0.8645833333333334, + "learning_rate": 3.534803699574714e-05, + "loss": 6.7526, + "loss/crossentropy": 1.907901108264923, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.17256031557917595, + "step": 3569 + }, + { + "epoch": 0.595, + "grad_norm": 21.75, + "grad_norm_var": 0.7872395833333333, + "learning_rate": 3.532300835517572e-05, + "loss": 6.5818, + "loss/crossentropy": 1.1651243418455124, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.15553244203329086, + "step": 3570 + }, + { + "epoch": 0.5951666666666666, + "grad_norm": 20.875, + "grad_norm_var": 0.9018229166666667, + "learning_rate": 3.529798373838481e-05, + "loss": 6.6933, + "loss/crossentropy": 2.594913125038147, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.16778606176376343, + "step": 3571 + }, + { + "epoch": 0.5953333333333334, + "grad_norm": 22.875, + "grad_norm_var": 0.8955729166666667, + "learning_rate": 3.527296315223505e-05, + "loss": 6.4305, + "loss/crossentropy": 2.166084945201874, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.1330959051847458, + "step": 3572 + }, + { + "epoch": 0.5955, + "grad_norm": 23.75, + "grad_norm_var": 0.9854166666666667, + "learning_rate": 3.524794660358593e-05, + "loss": 6.4252, + "loss/crossentropy": 1.9064501821994781, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.13876795768737793, + "step": 3573 + }, + { + "epoch": 0.5956666666666667, + "grad_norm": 23.25, + "grad_norm_var": 0.9238932291666667, + "learning_rate": 3.522293409929595e-05, + "loss": 6.4481, + "loss/crossentropy": 1.954607903957367, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.1494680643081665, + "step": 3574 + }, + { + "epoch": 0.5958333333333333, + "grad_norm": 23.375, + "grad_norm_var": 0.9354166666666667, + "learning_rate": 3.5197925646222387e-05, + "loss": 6.8182, + "loss/crossentropy": 2.0005702674388885, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17160218209028244, + "step": 3575 + }, + { + "epoch": 0.596, + "grad_norm": 22.625, + "grad_norm_var": 0.5768229166666666, + "learning_rate": 3.5172921251221455e-05, + "loss": 6.8714, + "loss/crossentropy": 2.0241056978702545, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.165579404681921, + "step": 3576 + }, + { + "epoch": 0.5961666666666666, + "grad_norm": 23.0, + "grad_norm_var": 0.5827473958333333, + "learning_rate": 3.5147920921148267e-05, + "loss": 6.9323, + "loss/crossentropy": 2.3129460513591766, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.17094969376921654, + "step": 3577 + }, + { + "epoch": 0.5963333333333334, + "grad_norm": 22.0, + "grad_norm_var": 0.5603515625, + "learning_rate": 3.512292466285678e-05, + "loss": 6.5964, + "loss/crossentropy": 1.5078017711639404, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1314530149102211, + "step": 3578 + }, + { + "epoch": 0.5965, + "grad_norm": 22.125, + "grad_norm_var": 0.5603515625, + "learning_rate": 3.509793248319987e-05, + "loss": 6.7621, + "loss/crossentropy": 2.1242131292819977, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1871037445962429, + "step": 3579 + }, + { + "epoch": 0.5966666666666667, + "grad_norm": 22.25, + "grad_norm_var": 0.5223307291666667, + "learning_rate": 3.507294438902929e-05, + "loss": 6.8243, + "loss/crossentropy": 2.1393436789512634, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1632429026067257, + "step": 3580 + }, + { + "epoch": 0.5968333333333333, + "grad_norm": 22.125, + "grad_norm_var": 0.4884765625, + "learning_rate": 3.504796038719567e-05, + "loss": 6.4487, + "loss/crossentropy": 1.596564844250679, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.1298320423811674, + "step": 3581 + }, + { + "epoch": 0.597, + "grad_norm": 23.25, + "grad_norm_var": 0.5166015625, + "learning_rate": 3.502298048454851e-05, + "loss": 6.8983, + "loss/crossentropy": 1.9182275533676147, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.1857740394771099, + "step": 3582 + }, + { + "epoch": 0.5971666666666666, + "grad_norm": 22.75, + "grad_norm_var": 0.515625, + "learning_rate": 3.4998004687936196e-05, + "loss": 6.5792, + "loss/crossentropy": 2.1503610014915466, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.17614147812128067, + "step": 3583 + }, + { + "epoch": 0.5973333333333334, + "grad_norm": 22.625, + "grad_norm_var": 0.515625, + "learning_rate": 3.497303300420598e-05, + "loss": 6.8032, + "loss/crossentropy": 1.9303715080022812, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.13863058015704155, + "step": 3584 + }, + { + "epoch": 0.5975, + "grad_norm": 21.5, + "grad_norm_var": 0.5822265625, + "learning_rate": 3.494806544020398e-05, + "loss": 6.4923, + "loss/crossentropy": 1.6873380541801453, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.12716035544872284, + "step": 3585 + }, + { + "epoch": 0.5976666666666667, + "grad_norm": 21.5, + "grad_norm_var": 0.6113932291666667, + "learning_rate": 3.492310200277522e-05, + "loss": 6.6476, + "loss/crossentropy": 1.9724652469158173, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.13338058069348335, + "step": 3586 + }, + { + "epoch": 0.5978333333333333, + "grad_norm": 23.375, + "grad_norm_var": 0.46295572916666666, + "learning_rate": 3.4898142698763555e-05, + "loss": 6.745, + "loss/crossentropy": 1.8177839666604996, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.14645466953516006, + "step": 3587 + }, + { + "epoch": 0.598, + "grad_norm": 22.375, + "grad_norm_var": 0.4634765625, + "learning_rate": 3.487318753501172e-05, + "loss": 6.7113, + "loss/crossentropy": 2.143134117126465, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.14368567615747452, + "step": 3588 + }, + { + "epoch": 0.5981666666666666, + "grad_norm": 22.5, + "grad_norm_var": 0.37233072916666665, + "learning_rate": 3.484823651836131e-05, + "loss": 6.6464, + "loss/crossentropy": 2.271997421979904, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1742360256612301, + "step": 3589 + }, + { + "epoch": 0.5983333333333334, + "grad_norm": 23.25, + "grad_norm_var": 0.37233072916666665, + "learning_rate": 3.482328965565279e-05, + "loss": 6.356, + "loss/crossentropy": 1.7456391155719757, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15262487158179283, + "step": 3590 + }, + { + "epoch": 0.5985, + "grad_norm": 22.25, + "grad_norm_var": 0.3260416666666667, + "learning_rate": 3.479834695372548e-05, + "loss": 6.6801, + "loss/crossentropy": 2.0601372718811035, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.14931338280439377, + "step": 3591 + }, + { + "epoch": 0.5986666666666667, + "grad_norm": 22.0, + "grad_norm_var": 0.33743489583333336, + "learning_rate": 3.477340841941758e-05, + "loss": 6.6957, + "loss/crossentropy": 1.8300958275794983, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.18146497756242752, + "step": 3592 + }, + { + "epoch": 0.5988333333333333, + "grad_norm": 24.25, + "grad_norm_var": 0.5301432291666667, + "learning_rate": 3.4748474059566125e-05, + "loss": 6.7095, + "loss/crossentropy": 1.9167363941669464, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.18403782323002815, + "step": 3593 + }, + { + "epoch": 0.599, + "grad_norm": 25.375, + "grad_norm_var": 1.0135416666666666, + "learning_rate": 3.4723543881007e-05, + "loss": 6.8551, + "loss/crossentropy": 2.1975748240947723, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.16178901493549347, + "step": 3594 + }, + { + "epoch": 0.5991666666666666, + "grad_norm": 25.375, + "grad_norm_var": 1.41640625, + "learning_rate": 3.469861789057497e-05, + "loss": 6.6961, + "loss/crossentropy": 1.771948203444481, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.1656980775296688, + "step": 3595 + }, + { + "epoch": 0.5993333333333334, + "grad_norm": 23.125, + "grad_norm_var": 1.3858723958333334, + "learning_rate": 3.467369609510363e-05, + "loss": 6.7018, + "loss/crossentropy": 1.827364832162857, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.15834222733974457, + "step": 3596 + }, + { + "epoch": 0.5995, + "grad_norm": 23.375, + "grad_norm_var": 1.3416015625, + "learning_rate": 3.4648778501425405e-05, + "loss": 6.8841, + "loss/crossentropy": 2.2697393894195557, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.19522682577371597, + "step": 3597 + }, + { + "epoch": 0.5996666666666667, + "grad_norm": 22.5, + "grad_norm_var": 1.3572265625, + "learning_rate": 3.462386511637164e-05, + "loss": 6.5854, + "loss/crossentropy": 1.958459585905075, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.1414240449666977, + "step": 3598 + }, + { + "epoch": 0.5998333333333333, + "grad_norm": 21.625, + "grad_norm_var": 1.475, + "learning_rate": 3.459895594677245e-05, + "loss": 6.526, + "loss/crossentropy": 1.8468578159809113, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.15934767946600914, + "step": 3599 + }, + { + "epoch": 0.6, + "grad_norm": 23.875, + "grad_norm_var": 1.5205729166666666, + "learning_rate": 3.457405099945684e-05, + "loss": 6.7143, + "loss/crossentropy": 1.7879043817520142, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.14512299746274948, + "step": 3600 + }, + { + "epoch": 0.6001666666666666, + "grad_norm": 23.125, + "grad_norm_var": 1.3572265625, + "learning_rate": 3.4549150281252636e-05, + "loss": 6.5106, + "loss/crossentropy": 1.9128567725419998, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.13997050374746323, + "step": 3601 + }, + { + "epoch": 0.6003333333333334, + "grad_norm": 22.25, + "grad_norm_var": 1.2306640625, + "learning_rate": 3.452425379898651e-05, + "loss": 6.806, + "loss/crossentropy": 2.2018122375011444, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1514225285500288, + "step": 3602 + }, + { + "epoch": 0.6005, + "grad_norm": 22.5, + "grad_norm_var": 1.25390625, + "learning_rate": 3.4499361559483975e-05, + "loss": 6.7017, + "loss/crossentropy": 2.132644236087799, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16441696882247925, + "step": 3603 + }, + { + "epoch": 0.6006666666666667, + "grad_norm": 25.0, + "grad_norm_var": 1.4275390625, + "learning_rate": 3.4474473569569385e-05, + "loss": 6.8697, + "loss/crossentropy": 2.1768244802951813, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.21047716587781906, + "step": 3604 + }, + { + "epoch": 0.6008333333333333, + "grad_norm": 23.125, + "grad_norm_var": 1.3875, + "learning_rate": 3.444958983606592e-05, + "loss": 6.9798, + "loss/crossentropy": 1.7101731300354004, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.17227205820381641, + "step": 3605 + }, + { + "epoch": 0.601, + "grad_norm": 22.25, + "grad_norm_var": 1.4583333333333333, + "learning_rate": 3.44247103657956e-05, + "loss": 6.4261, + "loss/crossentropy": 2.1174707114696503, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.1709052436053753, + "step": 3606 + }, + { + "epoch": 0.6011666666666666, + "grad_norm": 21.125, + "grad_norm_var": 1.6874348958333334, + "learning_rate": 3.4399835165579266e-05, + "loss": 6.5683, + "loss/crossentropy": 1.7886758744716644, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.14469147846102715, + "step": 3607 + }, + { + "epoch": 0.6013333333333334, + "grad_norm": 23.5, + "grad_norm_var": 1.5921223958333333, + "learning_rate": 3.437496424223661e-05, + "loss": 6.7179, + "loss/crossentropy": 1.482383131980896, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.15719027072191238, + "step": 3608 + }, + { + "epoch": 0.6015, + "grad_norm": 22.375, + "grad_norm_var": 1.5677083333333333, + "learning_rate": 3.435009760258608e-05, + "loss": 6.8683, + "loss/crossentropy": 1.9362950921058655, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.15314295142889023, + "step": 3609 + }, + { + "epoch": 0.6016666666666667, + "grad_norm": 24.625, + "grad_norm_var": 1.3809895833333334, + "learning_rate": 3.4325235253445096e-05, + "loss": 6.7814, + "loss/crossentropy": 1.9270552694797516, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.2188856303691864, + "step": 3610 + }, + { + "epoch": 0.6018333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.0291015625, + "learning_rate": 3.4300377201629754e-05, + "loss": 6.4969, + "loss/crossentropy": 1.8108852803707123, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1426815688610077, + "step": 3611 + }, + { + "epoch": 0.602, + "grad_norm": 22.5, + "grad_norm_var": 1.0372395833333334, + "learning_rate": 3.427552345395505e-05, + "loss": 6.5566, + "loss/crossentropy": 1.9565773606300354, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.1459974031895399, + "step": 3612 + }, + { + "epoch": 0.6021666666666666, + "grad_norm": 26.5, + "grad_norm_var": 1.8494140625, + "learning_rate": 3.425067401723477e-05, + "loss": 6.5543, + "loss/crossentropy": 1.6992706954479218, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.14481624960899353, + "step": 3613 + }, + { + "epoch": 0.6023333333333334, + "grad_norm": 24.375, + "grad_norm_var": 1.92265625, + "learning_rate": 3.4225828898281534e-05, + "loss": 6.8531, + "loss/crossentropy": 1.850580781698227, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.15415196120738983, + "step": 3614 + }, + { + "epoch": 0.6025, + "grad_norm": 23.625, + "grad_norm_var": 1.7518229166666666, + "learning_rate": 3.4200988103906745e-05, + "loss": 6.463, + "loss/crossentropy": 2.463101089000702, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.14383906871080399, + "step": 3615 + }, + { + "epoch": 0.6026666666666667, + "grad_norm": 24.0, + "grad_norm_var": 1.7619140625, + "learning_rate": 3.417615164092069e-05, + "loss": 6.3893, + "loss/crossentropy": 1.921521008014679, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.16268373653292656, + "step": 3616 + }, + { + "epoch": 0.6028333333333333, + "grad_norm": 21.625, + "grad_norm_var": 1.9447265625, + "learning_rate": 3.4151319516132416e-05, + "loss": 6.335, + "loss/crossentropy": 1.2709799706935883, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.13821273110806942, + "step": 3617 + }, + { + "epoch": 0.603, + "grad_norm": 23.625, + "grad_norm_var": 1.8809895833333334, + "learning_rate": 3.4126491736349785e-05, + "loss": 6.4589, + "loss/crossentropy": 1.9338785707950592, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.15251561999320984, + "step": 3618 + }, + { + "epoch": 0.6031666666666666, + "grad_norm": 23.625, + "grad_norm_var": 1.8358723958333334, + "learning_rate": 3.4101668308379466e-05, + "loss": 6.5837, + "loss/crossentropy": 1.220696598291397, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.14082973636686802, + "step": 3619 + }, + { + "epoch": 0.6033333333333334, + "grad_norm": 22.375, + "grad_norm_var": 1.7059895833333334, + "learning_rate": 3.4076849239026944e-05, + "loss": 6.7772, + "loss/crossentropy": 1.9182594418525696, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.15942978486418724, + "step": 3620 + }, + { + "epoch": 0.6035, + "grad_norm": 24.75, + "grad_norm_var": 1.8473307291666667, + "learning_rate": 3.40520345350965e-05, + "loss": 6.9883, + "loss/crossentropy": 1.9298798143863678, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16837671026587486, + "step": 3621 + }, + { + "epoch": 0.6036666666666667, + "grad_norm": 23.625, + "grad_norm_var": 1.76640625, + "learning_rate": 3.402722420339125e-05, + "loss": 6.8307, + "loss/crossentropy": 2.4491260051727295, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.16299398615956306, + "step": 3622 + }, + { + "epoch": 0.6038333333333333, + "grad_norm": 22.125, + "grad_norm_var": 1.52265625, + "learning_rate": 3.4002418250713086e-05, + "loss": 6.8652, + "loss/crossentropy": 1.8750370889902115, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.15849586576223373, + "step": 3623 + }, + { + "epoch": 0.604, + "grad_norm": 22.375, + "grad_norm_var": 1.5994140625, + "learning_rate": 3.3977616683862684e-05, + "loss": 6.4787, + "loss/crossentropy": 1.7724976241588593, + "loss/hidden": 3.0078125, + "loss/jsd": 0.0, + "loss/logits": 0.13138723745942116, + "step": 3624 + }, + { + "epoch": 0.6041666666666666, + "grad_norm": 23.5, + "grad_norm_var": 1.52265625, + "learning_rate": 3.3952819509639534e-05, + "loss": 6.6841, + "loss/crossentropy": 1.6846405565738678, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.16315601393580437, + "step": 3625 + }, + { + "epoch": 0.6043333333333333, + "grad_norm": 22.375, + "grad_norm_var": 1.496875, + "learning_rate": 3.392802673484193e-05, + "loss": 6.543, + "loss/crossentropy": 1.4532772600650787, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1754928156733513, + "step": 3626 + }, + { + "epoch": 0.6045, + "grad_norm": 23.25, + "grad_norm_var": 1.44765625, + "learning_rate": 3.3903238366266955e-05, + "loss": 6.8225, + "loss/crossentropy": 1.931593418121338, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.14026448130607605, + "step": 3627 + }, + { + "epoch": 0.6046666666666667, + "grad_norm": 21.125, + "grad_norm_var": 1.7291015625, + "learning_rate": 3.387845441071046e-05, + "loss": 6.7308, + "loss/crossentropy": 2.0381781458854675, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1397128738462925, + "step": 3628 + }, + { + "epoch": 0.6048333333333333, + "grad_norm": 21.625, + "grad_norm_var": 1.1375, + "learning_rate": 3.385367487496713e-05, + "loss": 6.5155, + "loss/crossentropy": 1.9344438165426254, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1472441963851452, + "step": 3629 + }, + { + "epoch": 0.605, + "grad_norm": 21.5, + "grad_norm_var": 1.1270182291666666, + "learning_rate": 3.3828899765830414e-05, + "loss": 6.6498, + "loss/crossentropy": 2.1120723485946655, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.14513016864657402, + "step": 3630 + }, + { + "epoch": 0.6051666666666666, + "grad_norm": 21.5, + "grad_norm_var": 1.18125, + "learning_rate": 3.380412909009254e-05, + "loss": 6.7775, + "loss/crossentropy": 1.8671753108501434, + "loss/hidden": 2.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.14502669870853424, + "step": 3631 + }, + { + "epoch": 0.6053333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.22890625, + "learning_rate": 3.377936285454453e-05, + "loss": 6.7666, + "loss/crossentropy": 2.161224275827408, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.20231668278574944, + "step": 3632 + }, + { + "epoch": 0.6055, + "grad_norm": 23.25, + "grad_norm_var": 1.1603515625, + "learning_rate": 3.375460106597619e-05, + "loss": 6.7854, + "loss/crossentropy": 1.700340211391449, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.15776778757572174, + "step": 3633 + }, + { + "epoch": 0.6056666666666667, + "grad_norm": 23.25, + "grad_norm_var": 1.128125, + "learning_rate": 3.3729843731176094e-05, + "loss": 6.7889, + "loss/crossentropy": 1.9763136804103851, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.15262062847614288, + "step": 3634 + }, + { + "epoch": 0.6058333333333333, + "grad_norm": 24.875, + "grad_norm_var": 1.36640625, + "learning_rate": 3.370509085693163e-05, + "loss": 6.7711, + "loss/crossentropy": 1.308455839753151, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17595666646957397, + "step": 3635 + }, + { + "epoch": 0.606, + "grad_norm": 21.5, + "grad_norm_var": 1.4707682291666666, + "learning_rate": 3.3680342450028915e-05, + "loss": 6.5735, + "loss/crossentropy": 1.7845475375652313, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.19061778485774994, + "step": 3636 + }, + { + "epoch": 0.6061666666666666, + "grad_norm": 23.375, + "grad_norm_var": 1.2322916666666666, + "learning_rate": 3.3655598517252885e-05, + "loss": 6.9262, + "loss/crossentropy": 1.9113890826702118, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.19944464042782784, + "step": 3637 + }, + { + "epoch": 0.6063333333333333, + "grad_norm": 23.0, + "grad_norm_var": 1.1811848958333333, + "learning_rate": 3.3630859065387215e-05, + "loss": 6.8144, + "loss/crossentropy": 1.8451263904571533, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.17079951614141464, + "step": 3638 + }, + { + "epoch": 0.6065, + "grad_norm": 21.75, + "grad_norm_var": 1.2177083333333334, + "learning_rate": 3.3606124101214375e-05, + "loss": 6.3793, + "loss/crossentropy": 1.8955996930599213, + "loss/hidden": 2.9296875, + "loss/jsd": 0.0, + "loss/logits": 0.14331822842359543, + "step": 3639 + }, + { + "epoch": 0.6066666666666667, + "grad_norm": 22.5, + "grad_norm_var": 1.2139973958333334, + "learning_rate": 3.3581393631515576e-05, + "loss": 6.4229, + "loss/crossentropy": 1.8769469857215881, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.12628630734980106, + "step": 3640 + }, + { + "epoch": 0.6068333333333333, + "grad_norm": 24.375, + "grad_norm_var": 1.359375, + "learning_rate": 3.355666766307084e-05, + "loss": 6.9153, + "loss/crossentropy": 1.8853258788585663, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.16420516185462475, + "step": 3641 + }, + { + "epoch": 0.607, + "grad_norm": 21.5, + "grad_norm_var": 1.4473307291666666, + "learning_rate": 3.3531946202658923e-05, + "loss": 6.5745, + "loss/crossentropy": 1.7867932319641113, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.16043803840875626, + "step": 3642 + }, + { + "epoch": 0.6071666666666666, + "grad_norm": 23.75, + "grad_norm_var": 1.5020182291666666, + "learning_rate": 3.350722925705736e-05, + "loss": 6.6795, + "loss/crossentropy": 1.754209816455841, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.14285333827137947, + "step": 3643 + }, + { + "epoch": 0.6073333333333333, + "grad_norm": 23.875, + "grad_norm_var": 1.3988932291666667, + "learning_rate": 3.348251683304243e-05, + "loss": 6.7936, + "loss/crossentropy": 1.5727067589759827, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.15942278876900673, + "step": 3644 + }, + { + "epoch": 0.6075, + "grad_norm": 23.75, + "grad_norm_var": 1.3291666666666666, + "learning_rate": 3.34578089373892e-05, + "loss": 6.7539, + "loss/crossentropy": 2.4076996445655823, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.1450696364045143, + "step": 3645 + }, + { + "epoch": 0.6076666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.1697916666666666, + "learning_rate": 3.343310557687145e-05, + "loss": 6.5413, + "loss/crossentropy": 1.7617158144712448, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.18941618129611015, + "step": 3646 + }, + { + "epoch": 0.6078333333333333, + "grad_norm": 22.0, + "grad_norm_var": 1.0791666666666666, + "learning_rate": 3.340840675826178e-05, + "loss": 6.4744, + "loss/crossentropy": 2.2355863749980927, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1747967042028904, + "step": 3647 + }, + { + "epoch": 0.608, + "grad_norm": 22.5, + "grad_norm_var": 1.0080729166666667, + "learning_rate": 3.33837124883315e-05, + "loss": 6.4877, + "loss/crossentropy": 1.7714488208293915, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.14342596381902695, + "step": 3648 + }, + { + "epoch": 0.6081666666666666, + "grad_norm": 23.75, + "grad_norm_var": 1.0393229166666667, + "learning_rate": 3.335902277385067e-05, + "loss": 6.5775, + "loss/crossentropy": 1.687635213136673, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.17456092312932014, + "step": 3649 + }, + { + "epoch": 0.6083333333333333, + "grad_norm": 24.625, + "grad_norm_var": 1.1947265625, + "learning_rate": 3.333433762158814e-05, + "loss": 6.7305, + "loss/crossentropy": 1.5697064399719238, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.13940187729895115, + "step": 3650 + }, + { + "epoch": 0.6085, + "grad_norm": 22.5, + "grad_norm_var": 0.9955729166666667, + "learning_rate": 3.330965703831146e-05, + "loss": 6.5077, + "loss/crossentropy": 2.1257485449314117, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.14911668561398983, + "step": 3651 + }, + { + "epoch": 0.6086666666666667, + "grad_norm": 20.5, + "grad_norm_var": 1.2559895833333334, + "learning_rate": 3.328498103078696e-05, + "loss": 6.3863, + "loss/crossentropy": 1.9150236546993256, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.155630175024271, + "step": 3652 + }, + { + "epoch": 0.6088333333333333, + "grad_norm": 24.25, + "grad_norm_var": 1.3567057291666667, + "learning_rate": 3.326030960577972e-05, + "loss": 6.6893, + "loss/crossentropy": 1.6161167621612549, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17683393135666847, + "step": 3653 + }, + { + "epoch": 0.609, + "grad_norm": 21.875, + "grad_norm_var": 1.4322916666666667, + "learning_rate": 3.3235642770053535e-05, + "loss": 6.5185, + "loss/crossentropy": 1.407025545835495, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.153741754591465, + "step": 3654 + }, + { + "epoch": 0.6091666666666666, + "grad_norm": 22.0, + "grad_norm_var": 1.39765625, + "learning_rate": 3.321098053037097e-05, + "loss": 6.5012, + "loss/crossentropy": 1.7107194066047668, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17856604419648647, + "step": 3655 + }, + { + "epoch": 0.6093333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.39765625, + "learning_rate": 3.318632289349332e-05, + "loss": 6.6775, + "loss/crossentropy": 1.769469752907753, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.16730654798448086, + "step": 3656 + }, + { + "epoch": 0.6095, + "grad_norm": 22.625, + "grad_norm_var": 1.25, + "learning_rate": 3.31616698661806e-05, + "loss": 6.6107, + "loss/crossentropy": 2.0014761984348297, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.18634256348013878, + "step": 3657 + }, + { + "epoch": 0.6096666666666667, + "grad_norm": 21.75, + "grad_norm_var": 1.21015625, + "learning_rate": 3.3137021455191564e-05, + "loss": 6.7365, + "loss/crossentropy": 2.3746529519557953, + "loss/hidden": 3.0, + "loss/jsd": 0.0, + "loss/logits": 0.16284478455781937, + "step": 3658 + }, + { + "epoch": 0.6098333333333333, + "grad_norm": 22.625, + "grad_norm_var": 1.1509765625, + "learning_rate": 3.3112377667283756e-05, + "loss": 6.6519, + "loss/crossentropy": 1.511630192399025, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.12814110331237316, + "step": 3659 + }, + { + "epoch": 0.61, + "grad_norm": 22.0, + "grad_norm_var": 1.09140625, + "learning_rate": 3.3087738509213395e-05, + "loss": 6.6629, + "loss/crossentropy": 2.227467507123947, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.17131861671805382, + "step": 3660 + }, + { + "epoch": 0.6101666666666666, + "grad_norm": 22.625, + "grad_norm_var": 1.0041015625, + "learning_rate": 3.3063103987735433e-05, + "loss": 6.6422, + "loss/crossentropy": 1.6702108830213547, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.14139299467206, + "step": 3661 + }, + { + "epoch": 0.6103333333333333, + "grad_norm": 23.25, + "grad_norm_var": 1.0223307291666666, + "learning_rate": 3.3038474109603584e-05, + "loss": 6.518, + "loss/crossentropy": 1.64449080824852, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.12050490826368332, + "step": 3662 + }, + { + "epoch": 0.6105, + "grad_norm": 23.0, + "grad_norm_var": 1.0067057291666666, + "learning_rate": 3.3013848881570245e-05, + "loss": 6.5549, + "loss/crossentropy": 1.8465300500392914, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1638450063765049, + "step": 3663 + }, + { + "epoch": 0.6106666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.0124348958333333, + "learning_rate": 3.298922831038655e-05, + "loss": 6.6987, + "loss/crossentropy": 1.779301941394806, + "loss/hidden": 2.9375, + "loss/jsd": 0.0, + "loss/logits": 0.13736390694975853, + "step": 3664 + }, + { + "epoch": 0.6108333333333333, + "grad_norm": 22.625, + "grad_norm_var": 0.9309895833333334, + "learning_rate": 3.296461240280242e-05, + "loss": 6.6644, + "loss/crossentropy": 2.561739504337311, + "loss/hidden": 2.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.15512175485491753, + "step": 3665 + }, + { + "epoch": 0.611, + "grad_norm": 22.5, + "grad_norm_var": 0.6421223958333333, + "learning_rate": 3.294000116556641e-05, + "loss": 6.4719, + "loss/crossentropy": 1.810407131910324, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15981411933898926, + "step": 3666 + }, + { + "epoch": 0.6111666666666666, + "grad_norm": 22.375, + "grad_norm_var": 0.6427083333333333, + "learning_rate": 3.2915394605425835e-05, + "loss": 6.5334, + "loss/crossentropy": 2.2144632935523987, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1601271778345108, + "step": 3667 + }, + { + "epoch": 0.6113333333333333, + "grad_norm": 30.625, + "grad_norm_var": 4.392122395833334, + "learning_rate": 3.289079272912674e-05, + "loss": 6.6038, + "loss/crossentropy": 2.2198455333709717, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.18938809633255005, + "step": 3668 + }, + { + "epoch": 0.6115, + "grad_norm": 22.75, + "grad_norm_var": 4.303059895833333, + "learning_rate": 3.286619554341384e-05, + "loss": 6.3856, + "loss/crossentropy": 1.5408898890018463, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.14665208384394646, + "step": 3669 + }, + { + "epoch": 0.6116666666666667, + "grad_norm": 22.375, + "grad_norm_var": 4.2431640625, + "learning_rate": 3.284160305503059e-05, + "loss": 6.4946, + "loss/crossentropy": 1.5257605016231537, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14288533478975296, + "step": 3670 + }, + { + "epoch": 0.6118333333333333, + "grad_norm": 21.5, + "grad_norm_var": 4.328059895833333, + "learning_rate": 3.28170152707192e-05, + "loss": 6.5132, + "loss/crossentropy": 1.8489979207515717, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.13813607394695282, + "step": 3671 + }, + { + "epoch": 0.612, + "grad_norm": 22.75, + "grad_norm_var": 4.3150390625, + "learning_rate": 3.279243219722052e-05, + "loss": 6.7823, + "loss/crossentropy": 1.987053707242012, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.14534302428364754, + "step": 3672 + }, + { + "epoch": 0.6121666666666666, + "grad_norm": 22.625, + "grad_norm_var": 4.3150390625, + "learning_rate": 3.276785384127415e-05, + "loss": 6.5475, + "loss/crossentropy": 1.9281685948371887, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.17776651307940483, + "step": 3673 + }, + { + "epoch": 0.6123333333333333, + "grad_norm": 24.0, + "grad_norm_var": 4.2494140625, + "learning_rate": 3.274328020961839e-05, + "loss": 6.6477, + "loss/crossentropy": 2.3288325667381287, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.17764046043157578, + "step": 3674 + }, + { + "epoch": 0.6125, + "grad_norm": 22.5, + "grad_norm_var": 4.259375, + "learning_rate": 3.2718711308990225e-05, + "loss": 6.5711, + "loss/crossentropy": 2.0950971841812134, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.1516370326280594, + "step": 3675 + }, + { + "epoch": 0.6126666666666667, + "grad_norm": 21.375, + "grad_norm_var": 4.380143229166666, + "learning_rate": 3.2694147146125345e-05, + "loss": 6.3621, + "loss/crossentropy": 1.2985180616378784, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.138105109333992, + "step": 3676 + }, + { + "epoch": 0.6128333333333333, + "grad_norm": 22.0, + "grad_norm_var": 4.445572916666666, + "learning_rate": 3.26695877277582e-05, + "loss": 6.4401, + "loss/crossentropy": 1.6856285333633423, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.1233405340462923, + "step": 3677 + }, + { + "epoch": 0.613, + "grad_norm": 23.375, + "grad_norm_var": 4.4494140625, + "learning_rate": 3.264503306062188e-05, + "loss": 6.6332, + "loss/crossentropy": 2.0373705625534058, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.1615987028926611, + "step": 3678 + }, + { + "epoch": 0.6131666666666666, + "grad_norm": 22.5, + "grad_norm_var": 4.470768229166667, + "learning_rate": 3.262048315144815e-05, + "loss": 6.4625, + "loss/crossentropy": 1.9453350603580475, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15635734423995018, + "step": 3679 + }, + { + "epoch": 0.6133333333333333, + "grad_norm": 23.625, + "grad_norm_var": 4.490625, + "learning_rate": 3.259593800696755e-05, + "loss": 6.7242, + "loss/crossentropy": 1.5715593695640564, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.13612421415746212, + "step": 3680 + }, + { + "epoch": 0.6135, + "grad_norm": 22.125, + "grad_norm_var": 4.5375, + "learning_rate": 3.257139763390925e-05, + "loss": 6.4489, + "loss/crossentropy": 2.1572854816913605, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.14369922503829002, + "step": 3681 + }, + { + "epoch": 0.6136666666666667, + "grad_norm": 22.25, + "grad_norm_var": 4.56015625, + "learning_rate": 3.254686203900111e-05, + "loss": 6.321, + "loss/crossentropy": 2.134088784456253, + "loss/hidden": 2.921875, + "loss/jsd": 0.0, + "loss/logits": 0.1402218285948038, + "step": 3682 + }, + { + "epoch": 0.6138333333333333, + "grad_norm": 24.0, + "grad_norm_var": 4.579622395833334, + "learning_rate": 3.2522331228969774e-05, + "loss": 6.5696, + "loss/crossentropy": 2.046136111021042, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.13494657166302204, + "step": 3683 + }, + { + "epoch": 0.614, + "grad_norm": 34.0, + "grad_norm_var": 8.655989583333334, + "learning_rate": 3.249780521054043e-05, + "loss": 6.7818, + "loss/crossentropy": 2.323875308036804, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.18332934007048607, + "step": 3684 + }, + { + "epoch": 0.6141666666666666, + "grad_norm": 24.5, + "grad_norm_var": 8.705208333333333, + "learning_rate": 3.247328399043706e-05, + "loss": 6.9369, + "loss/crossentropy": 1.1638202667236328, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.15156791731715202, + "step": 3685 + }, + { + "epoch": 0.6143333333333333, + "grad_norm": 22.375, + "grad_norm_var": 8.705208333333333, + "learning_rate": 3.244876757538228e-05, + "loss": 6.4399, + "loss/crossentropy": 2.107782781124115, + "loss/hidden": 2.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.13551126793026924, + "step": 3686 + }, + { + "epoch": 0.6145, + "grad_norm": 23.5, + "grad_norm_var": 8.430208333333333, + "learning_rate": 3.242425597209742e-05, + "loss": 6.8006, + "loss/crossentropy": 2.0682478845119476, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.1695364136248827, + "step": 3687 + }, + { + "epoch": 0.6146666666666667, + "grad_norm": 23.25, + "grad_norm_var": 8.389583333333333, + "learning_rate": 3.239974918730245e-05, + "loss": 6.6403, + "loss/crossentropy": 1.8592951893806458, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.18530678749084473, + "step": 3688 + }, + { + "epoch": 0.6148333333333333, + "grad_norm": 21.5, + "grad_norm_var": 8.618684895833333, + "learning_rate": 3.2375247227716077e-05, + "loss": 6.5456, + "loss/crossentropy": 2.0896191596984863, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1905118115246296, + "step": 3689 + }, + { + "epoch": 0.615, + "grad_norm": 25.375, + "grad_norm_var": 8.818489583333333, + "learning_rate": 3.235075010005564e-05, + "loss": 6.9578, + "loss/crossentropy": 2.234883427619934, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1544959358870983, + "step": 3690 + }, + { + "epoch": 0.6151666666666666, + "grad_norm": 25.25, + "grad_norm_var": 8.872916666666667, + "learning_rate": 3.2326257811037155e-05, + "loss": 6.4657, + "loss/crossentropy": 1.2277547717094421, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1451320555061102, + "step": 3691 + }, + { + "epoch": 0.6153333333333333, + "grad_norm": 23.875, + "grad_norm_var": 8.451041666666667, + "learning_rate": 3.230177036737533e-05, + "loss": 6.8492, + "loss/crossentropy": 1.9858551621437073, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.14005996845662594, + "step": 3692 + }, + { + "epoch": 0.6155, + "grad_norm": 21.75, + "grad_norm_var": 8.520572916666667, + "learning_rate": 3.2277287775783525e-05, + "loss": 6.6398, + "loss/crossentropy": 1.79518923163414, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.16488447040319443, + "step": 3693 + }, + { + "epoch": 0.6156666666666667, + "grad_norm": 26.125, + "grad_norm_var": 8.78125, + "learning_rate": 3.2252810042973794e-05, + "loss": 6.6663, + "loss/crossentropy": 1.5171676129102707, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.12123701348900795, + "step": 3694 + }, + { + "epoch": 0.6158333333333333, + "grad_norm": 22.75, + "grad_norm_var": 8.730989583333333, + "learning_rate": 3.222833717565685e-05, + "loss": 6.6751, + "loss/crossentropy": 1.6241463422775269, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.15948622301220894, + "step": 3695 + }, + { + "epoch": 0.616, + "grad_norm": 23.125, + "grad_norm_var": 8.780989583333334, + "learning_rate": 3.2203869180542064e-05, + "loss": 6.8168, + "loss/crossentropy": 1.708501935005188, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.24664035812020302, + "step": 3696 + }, + { + "epoch": 0.6161666666666666, + "grad_norm": 23.25, + "grad_norm_var": 8.562434895833333, + "learning_rate": 3.217940606433747e-05, + "loss": 6.596, + "loss/crossentropy": 1.829528272151947, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.15377819910645485, + "step": 3697 + }, + { + "epoch": 0.6163333333333333, + "grad_norm": 22.875, + "grad_norm_var": 8.426041666666666, + "learning_rate": 3.215494783374978e-05, + "loss": 6.6084, + "loss/crossentropy": 2.0104362070560455, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14076237194240093, + "step": 3698 + }, + { + "epoch": 0.6165, + "grad_norm": 22.5, + "grad_norm_var": 8.610416666666667, + "learning_rate": 3.213049449548434e-05, + "loss": 6.4548, + "loss/crossentropy": 2.2757362723350525, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.13884127512574196, + "step": 3699 + }, + { + "epoch": 0.6166666666666667, + "grad_norm": 21.625, + "grad_norm_var": 1.8879557291666667, + "learning_rate": 3.2106046056245176e-05, + "loss": 6.6966, + "loss/crossentropy": 1.9317424595355988, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.18013476766645908, + "step": 3700 + }, + { + "epoch": 0.6168333333333333, + "grad_norm": 21.625, + "grad_norm_var": 1.9643229166666667, + "learning_rate": 3.2081602522734986e-05, + "loss": 6.7678, + "loss/crossentropy": 2.047278940677643, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.14229482784867287, + "step": 3701 + }, + { + "epoch": 0.617, + "grad_norm": 23.375, + "grad_norm_var": 1.9205729166666667, + "learning_rate": 3.205716390165509e-05, + "loss": 6.4629, + "loss/crossentropy": 2.113604635000229, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.15966418385505676, + "step": 3702 + }, + { + "epoch": 0.6171666666666666, + "grad_norm": 22.625, + "grad_norm_var": 1.9374348958333334, + "learning_rate": 3.203273019970547e-05, + "loss": 6.582, + "loss/crossentropy": 1.8170647323131561, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.13562525250017643, + "step": 3703 + }, + { + "epoch": 0.6173333333333333, + "grad_norm": 22.125, + "grad_norm_var": 2.005989583333333, + "learning_rate": 3.200830142358477e-05, + "loss": 6.7497, + "loss/crossentropy": 1.7650204449892044, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.18804254196584225, + "step": 3704 + }, + { + "epoch": 0.6175, + "grad_norm": 21.875, + "grad_norm_var": 1.9343098958333333, + "learning_rate": 3.1983877579990274e-05, + "loss": 6.6164, + "loss/crossentropy": 2.1731262803077698, + "loss/hidden": 2.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.15703394263982773, + "step": 3705 + }, + { + "epoch": 0.6176666666666667, + "grad_norm": 23.625, + "grad_norm_var": 1.6025390625, + "learning_rate": 3.195945867561791e-05, + "loss": 6.8497, + "loss/crossentropy": 1.7328705489635468, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.22148583084344864, + "step": 3706 + }, + { + "epoch": 0.6178333333333333, + "grad_norm": 22.25, + "grad_norm_var": 1.2744140625, + "learning_rate": 3.1935044717162277e-05, + "loss": 6.6888, + "loss/crossentropy": 1.8702014088630676, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.14121071249246597, + "step": 3707 + }, + { + "epoch": 0.618, + "grad_norm": 21.75, + "grad_norm_var": 1.2622395833333333, + "learning_rate": 3.191063571131659e-05, + "loss": 6.5026, + "loss/crossentropy": 2.143603265285492, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.1497199907898903, + "step": 3708 + }, + { + "epoch": 0.6181666666666666, + "grad_norm": 22.625, + "grad_norm_var": 1.1988932291666667, + "learning_rate": 3.188623166477272e-05, + "loss": 6.5042, + "loss/crossentropy": 1.8585558235645294, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1800672747194767, + "step": 3709 + }, + { + "epoch": 0.6183333333333333, + "grad_norm": 22.75, + "grad_norm_var": 0.39557291666666666, + "learning_rate": 3.186183258422117e-05, + "loss": 6.4439, + "loss/crossentropy": 1.5886938273906708, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.14000430144369602, + "step": 3710 + }, + { + "epoch": 0.6185, + "grad_norm": 22.25, + "grad_norm_var": 0.39765625, + "learning_rate": 3.183743847635109e-05, + "loss": 6.4695, + "loss/crossentropy": 1.9731822311878204, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.13734177313745022, + "step": 3711 + }, + { + "epoch": 0.6186666666666667, + "grad_norm": 21.75, + "grad_norm_var": 0.4041015625, + "learning_rate": 3.181304934785025e-05, + "loss": 6.6545, + "loss/crossentropy": 1.7736046016216278, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.12707852385938168, + "step": 3712 + }, + { + "epoch": 0.6188333333333333, + "grad_norm": 23.625, + "grad_norm_var": 0.45390625, + "learning_rate": 3.178866520540509e-05, + "loss": 6.8181, + "loss/crossentropy": 1.667274832725525, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1728326641023159, + "step": 3713 + }, + { + "epoch": 0.619, + "grad_norm": 22.375, + "grad_norm_var": 0.44140625, + "learning_rate": 3.176428605570065e-05, + "loss": 6.5872, + "loss/crossentropy": 1.714736431837082, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.13255275413393974, + "step": 3714 + }, + { + "epoch": 0.6191666666666666, + "grad_norm": 23.5, + "grad_norm_var": 0.5143229166666666, + "learning_rate": 3.1739911905420617e-05, + "loss": 6.4541, + "loss/crossentropy": 1.7110013961791992, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.17908725328743458, + "step": 3715 + }, + { + "epoch": 0.6193333333333333, + "grad_norm": 21.375, + "grad_norm_var": 0.546875, + "learning_rate": 3.1715542761247286e-05, + "loss": 6.5379, + "loss/crossentropy": 2.308675527572632, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.1473194919526577, + "step": 3716 + }, + { + "epoch": 0.6195, + "grad_norm": 22.125, + "grad_norm_var": 0.50625, + "learning_rate": 3.169117862986163e-05, + "loss": 6.7729, + "loss/crossentropy": 1.9341150522232056, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.17075321823358536, + "step": 3717 + }, + { + "epoch": 0.6196666666666667, + "grad_norm": 24.25, + "grad_norm_var": 0.6561848958333333, + "learning_rate": 3.1666819517943156e-05, + "loss": 6.7965, + "loss/crossentropy": 1.8009478449821472, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1648462526500225, + "step": 3718 + }, + { + "epoch": 0.6198333333333333, + "grad_norm": 23.375, + "grad_norm_var": 0.6983723958333333, + "learning_rate": 3.164246543217011e-05, + "loss": 6.7267, + "loss/crossentropy": 1.9181653261184692, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.15961719304323196, + "step": 3719 + }, + { + "epoch": 0.62, + "grad_norm": 25.25, + "grad_norm_var": 1.11015625, + "learning_rate": 3.1618116379219285e-05, + "loss": 6.949, + "loss/crossentropy": 1.9014279544353485, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.20922859758138657, + "step": 3720 + }, + { + "epoch": 0.6201666666666666, + "grad_norm": 23.125, + "grad_norm_var": 1.0541666666666667, + "learning_rate": 3.1593772365766105e-05, + "loss": 6.5989, + "loss/crossentropy": 2.0277902483940125, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.13430821150541306, + "step": 3721 + }, + { + "epoch": 0.6203333333333333, + "grad_norm": 22.75, + "grad_norm_var": 1.0145182291666666, + "learning_rate": 3.156943339848463e-05, + "loss": 6.5785, + "loss/crossentropy": 1.9784236252307892, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.146311167627573, + "step": 3722 + }, + { + "epoch": 0.6205, + "grad_norm": 23.625, + "grad_norm_var": 1.028125, + "learning_rate": 3.1545099484047516e-05, + "loss": 6.3924, + "loss/crossentropy": 1.5409084856510162, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.13897773064672947, + "step": 3723 + }, + { + "epoch": 0.6206666666666667, + "grad_norm": 24.625, + "grad_norm_var": 1.1014973958333334, + "learning_rate": 3.152077062912602e-05, + "loss": 6.5913, + "loss/crossentropy": 1.892556071281433, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.1440218724310398, + "step": 3724 + }, + { + "epoch": 0.6208333333333333, + "grad_norm": 25.5, + "grad_norm_var": 1.44140625, + "learning_rate": 3.149644684039008e-05, + "loss": 6.5977, + "loss/crossentropy": 1.754175752401352, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.15589041635394096, + "step": 3725 + }, + { + "epoch": 0.621, + "grad_norm": 22.0, + "grad_norm_var": 1.528125, + "learning_rate": 3.147212812450819e-05, + "loss": 6.4751, + "loss/crossentropy": 1.6855896413326263, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.13061810657382011, + "step": 3726 + }, + { + "epoch": 0.6211666666666666, + "grad_norm": 23.0, + "grad_norm_var": 1.46640625, + "learning_rate": 3.144781448814746e-05, + "loss": 6.2985, + "loss/crossentropy": 2.0002185106277466, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.14517292007803917, + "step": 3727 + }, + { + "epoch": 0.6213333333333333, + "grad_norm": 22.875, + "grad_norm_var": 1.3181640625, + "learning_rate": 3.14235059379736e-05, + "loss": 6.5637, + "loss/crossentropy": 1.3987185806035995, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.13859725929796696, + "step": 3728 + }, + { + "epoch": 0.6215, + "grad_norm": 22.25, + "grad_norm_var": 1.3833333333333333, + "learning_rate": 3.139920248065095e-05, + "loss": 6.6499, + "loss/crossentropy": 2.0143133997917175, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.14679296873509884, + "step": 3729 + }, + { + "epoch": 0.6216666666666667, + "grad_norm": 21.875, + "grad_norm_var": 1.4572916666666667, + "learning_rate": 3.1374904122842404e-05, + "loss": 6.5099, + "loss/crossentropy": 2.1237584352493286, + "loss/hidden": 2.95703125, + "loss/jsd": 0.0, + "loss/logits": 0.131148811429739, + "step": 3730 + }, + { + "epoch": 0.6218333333333333, + "grad_norm": 22.375, + "grad_norm_var": 1.4942057291666666, + "learning_rate": 3.135061087120955e-05, + "loss": 6.8175, + "loss/crossentropy": 2.1534872949123383, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15916387364268303, + "step": 3731 + }, + { + "epoch": 0.622, + "grad_norm": 23.125, + "grad_norm_var": 1.2718098958333333, + "learning_rate": 3.132632273241251e-05, + "loss": 6.703, + "loss/crossentropy": 1.5491221249103546, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.15010925382375717, + "step": 3732 + }, + { + "epoch": 0.6221666666666666, + "grad_norm": 24.125, + "grad_norm_var": 1.2197265625, + "learning_rate": 3.130203971310999e-05, + "loss": 6.8437, + "loss/crossentropy": 1.5512812733650208, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.14651266299188137, + "step": 3733 + }, + { + "epoch": 0.6223333333333333, + "grad_norm": 21.5, + "grad_norm_var": 1.3744140625, + "learning_rate": 3.127776181995933e-05, + "loss": 6.4112, + "loss/crossentropy": 1.970825508236885, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.12818371504545212, + "step": 3734 + }, + { + "epoch": 0.6225, + "grad_norm": 23.125, + "grad_norm_var": 1.3728515625, + "learning_rate": 3.125348905961645e-05, + "loss": 6.4723, + "loss/crossentropy": 2.1327137649059296, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17621144838631153, + "step": 3735 + }, + { + "epoch": 0.6226666666666667, + "grad_norm": 23.25, + "grad_norm_var": 1.0749348958333333, + "learning_rate": 3.122922143873584e-05, + "loss": 6.757, + "loss/crossentropy": 1.7041055858135223, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.14403433725237846, + "step": 3736 + }, + { + "epoch": 0.6228333333333333, + "grad_norm": 23.375, + "grad_norm_var": 1.0806640625, + "learning_rate": 3.1204958963970666e-05, + "loss": 6.4471, + "loss/crossentropy": 2.375582754611969, + "loss/hidden": 2.95703125, + "loss/jsd": 0.0, + "loss/logits": 0.14680715277791023, + "step": 3737 + }, + { + "epoch": 0.623, + "grad_norm": 22.375, + "grad_norm_var": 1.10625, + "learning_rate": 3.118070164197258e-05, + "loss": 6.6414, + "loss/crossentropy": 1.923474371433258, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14678333327174187, + "step": 3738 + }, + { + "epoch": 0.6231666666666666, + "grad_norm": 22.75, + "grad_norm_var": 1.0884765625, + "learning_rate": 3.1156449479391876e-05, + "loss": 6.4894, + "loss/crossentropy": 1.4917887151241302, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.14854806661605835, + "step": 3739 + }, + { + "epoch": 0.6233333333333333, + "grad_norm": 22.75, + "grad_norm_var": 0.90390625, + "learning_rate": 3.1132202482877415e-05, + "loss": 6.6092, + "loss/crossentropy": 1.7970674484968185, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1400809809565544, + "step": 3740 + }, + { + "epoch": 0.6235, + "grad_norm": 23.375, + "grad_norm_var": 0.44680989583333336, + "learning_rate": 3.110796065907665e-05, + "loss": 6.5572, + "loss/crossentropy": 1.0898804366588593, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.11043318919837475, + "step": 3741 + }, + { + "epoch": 0.6236666666666667, + "grad_norm": 22.375, + "grad_norm_var": 0.41770833333333335, + "learning_rate": 3.108372401463562e-05, + "loss": 6.6038, + "loss/crossentropy": 2.1103465855121613, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.1556638479232788, + "step": 3742 + }, + { + "epoch": 0.6238333333333334, + "grad_norm": 23.125, + "grad_norm_var": 0.42233072916666664, + "learning_rate": 3.1059492556198934e-05, + "loss": 6.6803, + "loss/crossentropy": 2.038925439119339, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15791165456175804, + "step": 3743 + }, + { + "epoch": 0.624, + "grad_norm": 21.875, + "grad_norm_var": 0.47337239583333335, + "learning_rate": 3.103526629040979e-05, + "loss": 6.6987, + "loss/crossentropy": 2.2869793176651, + "loss/hidden": 2.94921875, + "loss/jsd": 0.0, + "loss/logits": 0.15110729821026325, + "step": 3744 + }, + { + "epoch": 0.6241666666666666, + "grad_norm": 22.5, + "grad_norm_var": 0.46139322916666664, + "learning_rate": 3.101104522390995e-05, + "loss": 6.5055, + "loss/crossentropy": 1.916663497686386, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.12919435650110245, + "step": 3745 + }, + { + "epoch": 0.6243333333333333, + "grad_norm": 22.375, + "grad_norm_var": 0.41920572916666665, + "learning_rate": 3.098682936333976e-05, + "loss": 6.2548, + "loss/crossentropy": 1.681941658258438, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1485336609184742, + "step": 3746 + }, + { + "epoch": 0.6245, + "grad_norm": 21.625, + "grad_norm_var": 0.49420572916666666, + "learning_rate": 3.096261871533813e-05, + "loss": 6.5639, + "loss/crossentropy": 1.78295436501503, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.15126430056989193, + "step": 3747 + }, + { + "epoch": 0.6246666666666667, + "grad_norm": 23.375, + "grad_norm_var": 0.5113932291666666, + "learning_rate": 3.093841328654255e-05, + "loss": 6.6816, + "loss/crossentropy": 1.4718872010707855, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.15319356322288513, + "step": 3748 + }, + { + "epoch": 0.6248333333333334, + "grad_norm": 23.625, + "grad_norm_var": 0.43483072916666665, + "learning_rate": 3.0914213083589086e-05, + "loss": 6.7226, + "loss/crossentropy": 2.0582560002803802, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1736486665904522, + "step": 3749 + }, + { + "epoch": 0.625, + "grad_norm": 23.875, + "grad_norm_var": 0.40390625, + "learning_rate": 3.089001811311234e-05, + "loss": 6.6206, + "loss/crossentropy": 2.2848614156246185, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.14018169790506363, + "step": 3750 + }, + { + "epoch": 0.6251666666666666, + "grad_norm": 22.125, + "grad_norm_var": 0.4309895833333333, + "learning_rate": 3.086582838174551e-05, + "loss": 6.695, + "loss/crossentropy": 1.9891239404678345, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.15383169427514076, + "step": 3751 + }, + { + "epoch": 0.6253333333333333, + "grad_norm": 22.375, + "grad_norm_var": 0.4259765625, + "learning_rate": 3.084164389612037e-05, + "loss": 6.6663, + "loss/crossentropy": 2.0006557404994965, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.16847338154911995, + "step": 3752 + }, + { + "epoch": 0.6255, + "grad_norm": 24.75, + "grad_norm_var": 0.66015625, + "learning_rate": 3.081746466286719e-05, + "loss": 6.7314, + "loss/crossentropy": 2.482191801071167, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1889748889952898, + "step": 3753 + }, + { + "epoch": 0.6256666666666667, + "grad_norm": 23.0, + "grad_norm_var": 0.6468098958333334, + "learning_rate": 3.079329068861488e-05, + "loss": 6.6738, + "loss/crossentropy": 1.72902312874794, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1430719792842865, + "step": 3754 + }, + { + "epoch": 0.6258333333333334, + "grad_norm": 22.25, + "grad_norm_var": 0.6702473958333334, + "learning_rate": 3.076912197999084e-05, + "loss": 6.5763, + "loss/crossentropy": 1.8041903674602509, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16017767041921616, + "step": 3755 + }, + { + "epoch": 0.626, + "grad_norm": 21.5, + "grad_norm_var": 0.7822265625, + "learning_rate": 3.07449585436211e-05, + "loss": 6.4201, + "loss/crossentropy": 1.907409429550171, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.13573981449007988, + "step": 3756 + }, + { + "epoch": 0.6261666666666666, + "grad_norm": 23.5, + "grad_norm_var": 0.7934895833333333, + "learning_rate": 3.072080038613018e-05, + "loss": 6.5469, + "loss/crossentropy": 1.724313199520111, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.15509509295225143, + "step": 3757 + }, + { + "epoch": 0.6263333333333333, + "grad_norm": 22.0, + "grad_norm_var": 0.8218098958333333, + "learning_rate": 3.069664751414117e-05, + "loss": 6.5038, + "loss/crossentropy": 2.046607732772827, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14521275460720062, + "step": 3758 + }, + { + "epoch": 0.6265, + "grad_norm": 23.125, + "grad_norm_var": 0.8218098958333333, + "learning_rate": 3.067249993427572e-05, + "loss": 6.7481, + "loss/crossentropy": 1.90292489528656, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16170011088252068, + "step": 3759 + }, + { + "epoch": 0.6266666666666667, + "grad_norm": 23.25, + "grad_norm_var": 0.7809895833333333, + "learning_rate": 3.064835765315404e-05, + "loss": 6.9317, + "loss/crossentropy": 1.9810654520988464, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.18491877987980843, + "step": 3760 + }, + { + "epoch": 0.6268333333333334, + "grad_norm": 22.25, + "grad_norm_var": 0.7958333333333333, + "learning_rate": 3.062422067739485e-05, + "loss": 6.6703, + "loss/crossentropy": 1.990020513534546, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.1597834974527359, + "step": 3761 + }, + { + "epoch": 0.627, + "grad_norm": 21.5, + "grad_norm_var": 0.8947265625, + "learning_rate": 3.060008901361546e-05, + "loss": 6.4965, + "loss/crossentropy": 2.1747460663318634, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.15076711401343346, + "step": 3762 + }, + { + "epoch": 0.6271666666666667, + "grad_norm": 22.875, + "grad_norm_var": 0.8035807291666667, + "learning_rate": 3.05759626684317e-05, + "loss": 6.5519, + "loss/crossentropy": 1.712770402431488, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.13715210743248463, + "step": 3763 + }, + { + "epoch": 0.6273333333333333, + "grad_norm": 21.25, + "grad_norm_var": 0.9330729166666667, + "learning_rate": 3.055184164845794e-05, + "loss": 6.9883, + "loss/crossentropy": 2.1866396367549896, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.199832733720541, + "step": 3764 + }, + { + "epoch": 0.6275, + "grad_norm": 23.75, + "grad_norm_var": 0.9494140625, + "learning_rate": 3.052772596030708e-05, + "loss": 6.8299, + "loss/crossentropy": 2.150042161345482, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.1824478693306446, + "step": 3765 + }, + { + "epoch": 0.6276666666666667, + "grad_norm": 22.25, + "grad_norm_var": 0.8622395833333333, + "learning_rate": 3.0503615610590603e-05, + "loss": 6.5104, + "loss/crossentropy": 1.688882827758789, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.18993709608912468, + "step": 3766 + }, + { + "epoch": 0.6278333333333334, + "grad_norm": 21.75, + "grad_norm_var": 0.8952473958333333, + "learning_rate": 3.047951060591845e-05, + "loss": 6.7669, + "loss/crossentropy": 1.6701600253582, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.13995953649282455, + "step": 3767 + }, + { + "epoch": 0.628, + "grad_norm": 21.625, + "grad_norm_var": 0.9514973958333334, + "learning_rate": 3.0455410952899198e-05, + "loss": 6.6587, + "loss/crossentropy": 2.038803666830063, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.15627256222069263, + "step": 3768 + }, + { + "epoch": 0.6281666666666667, + "grad_norm": 22.625, + "grad_norm_var": 0.6072916666666667, + "learning_rate": 3.043131665813988e-05, + "loss": 6.4031, + "loss/crossentropy": 1.2961439192295074, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.12603109516203403, + "step": 3769 + }, + { + "epoch": 0.6283333333333333, + "grad_norm": 22.125, + "grad_norm_var": 0.5858723958333333, + "learning_rate": 3.0407227728246087e-05, + "loss": 6.6529, + "loss/crossentropy": 2.2189608216285706, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.17507660016417503, + "step": 3770 + }, + { + "epoch": 0.6285, + "grad_norm": 22.625, + "grad_norm_var": 0.5895833333333333, + "learning_rate": 3.038314416982194e-05, + "loss": 6.755, + "loss/crossentropy": 2.331858515739441, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.17320893332362175, + "step": 3771 + }, + { + "epoch": 0.6286666666666667, + "grad_norm": 22.875, + "grad_norm_var": 0.5473307291666667, + "learning_rate": 3.0359065989470072e-05, + "loss": 6.5899, + "loss/crossentropy": 1.954711675643921, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.15399669483304024, + "step": 3772 + }, + { + "epoch": 0.6288333333333334, + "grad_norm": 24.0, + "grad_norm_var": 0.6322265625, + "learning_rate": 3.033499319379163e-05, + "loss": 6.6353, + "loss/crossentropy": 1.8533109724521637, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.16904421150684357, + "step": 3773 + }, + { + "epoch": 0.629, + "grad_norm": 24.375, + "grad_norm_var": 0.82890625, + "learning_rate": 3.0310925789386358e-05, + "loss": 6.3731, + "loss/crossentropy": 1.8757181763648987, + "loss/hidden": 2.91796875, + "loss/jsd": 0.0, + "loss/logits": 0.1424003578722477, + "step": 3774 + }, + { + "epoch": 0.6291666666666667, + "grad_norm": 22.5, + "grad_norm_var": 0.8129557291666667, + "learning_rate": 3.028686378285245e-05, + "loss": 6.5261, + "loss/crossentropy": 2.023016482591629, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1422220692038536, + "step": 3775 + }, + { + "epoch": 0.6293333333333333, + "grad_norm": 24.5, + "grad_norm_var": 1.0186848958333334, + "learning_rate": 3.0262807180786647e-05, + "loss": 6.5888, + "loss/crossentropy": 1.5031293332576752, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.1542518362402916, + "step": 3776 + }, + { + "epoch": 0.6295, + "grad_norm": 22.625, + "grad_norm_var": 1.0059895833333334, + "learning_rate": 3.023875598978419e-05, + "loss": 6.7699, + "loss/crossentropy": 2.205700397491455, + "loss/hidden": 2.95703125, + "loss/jsd": 0.0, + "loss/logits": 0.13528747856616974, + "step": 3777 + }, + { + "epoch": 0.6296666666666667, + "grad_norm": 22.125, + "grad_norm_var": 0.9301432291666667, + "learning_rate": 3.021471021643885e-05, + "loss": 6.4318, + "loss/crossentropy": 1.8335504233837128, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15125981159508228, + "step": 3778 + }, + { + "epoch": 0.6298333333333334, + "grad_norm": 23.5, + "grad_norm_var": 0.965625, + "learning_rate": 3.01906698673429e-05, + "loss": 6.6393, + "loss/crossentropy": 1.5019246935844421, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16077188216149807, + "step": 3779 + }, + { + "epoch": 0.63, + "grad_norm": 23.875, + "grad_norm_var": 0.8603515625, + "learning_rate": 3.016663494908718e-05, + "loss": 6.6428, + "loss/crossentropy": 2.3600839972496033, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.15765924379229546, + "step": 3780 + }, + { + "epoch": 0.6301666666666667, + "grad_norm": 24.0, + "grad_norm_var": 0.8910807291666667, + "learning_rate": 3.0142605468260978e-05, + "loss": 6.6705, + "loss/crossentropy": 1.7808731496334076, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.13550061732530594, + "step": 3781 + }, + { + "epoch": 0.6303333333333333, + "grad_norm": 22.5, + "grad_norm_var": 0.8712890625, + "learning_rate": 3.0118581431452096e-05, + "loss": 6.5592, + "loss/crossentropy": 1.9765576720237732, + "loss/hidden": 2.89453125, + "loss/jsd": 0.0, + "loss/logits": 0.1349270511418581, + "step": 3782 + }, + { + "epoch": 0.6305, + "grad_norm": 22.75, + "grad_norm_var": 0.7702473958333333, + "learning_rate": 3.009456284524688e-05, + "loss": 6.7842, + "loss/crossentropy": 1.9081714153289795, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.13498970679938793, + "step": 3783 + }, + { + "epoch": 0.6306666666666667, + "grad_norm": 22.375, + "grad_norm_var": 0.6639973958333333, + "learning_rate": 3.0070549716230156e-05, + "loss": 6.6154, + "loss/crossentropy": 2.1368172764778137, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.15120191499590874, + "step": 3784 + }, + { + "epoch": 0.6308333333333334, + "grad_norm": 23.0, + "grad_norm_var": 0.6497395833333334, + "learning_rate": 3.0046542050985237e-05, + "loss": 6.6763, + "loss/crossentropy": 2.027266412973404, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.1534661389887333, + "step": 3785 + }, + { + "epoch": 0.631, + "grad_norm": 24.0, + "grad_norm_var": 0.6233723958333334, + "learning_rate": 3.0022539856094007e-05, + "loss": 6.8324, + "loss/crossentropy": 1.790216788649559, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17672518268227577, + "step": 3786 + }, + { + "epoch": 0.6311666666666667, + "grad_norm": 22.75, + "grad_norm_var": 0.6143229166666667, + "learning_rate": 2.999854313813677e-05, + "loss": 6.6103, + "loss/crossentropy": 2.245953768491745, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.1530153974890709, + "step": 3787 + }, + { + "epoch": 0.6313333333333333, + "grad_norm": 24.375, + "grad_norm_var": 0.6830729166666667, + "learning_rate": 2.9974551903692372e-05, + "loss": 6.9302, + "loss/crossentropy": 1.8852043151855469, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.21074477583169937, + "step": 3788 + }, + { + "epoch": 0.6315, + "grad_norm": 22.625, + "grad_norm_var": 0.6780598958333334, + "learning_rate": 2.9950566159338144e-05, + "loss": 6.8233, + "loss/crossentropy": 1.6628516018390656, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1676679067313671, + "step": 3789 + }, + { + "epoch": 0.6316666666666667, + "grad_norm": 25.375, + "grad_norm_var": 0.8916015625, + "learning_rate": 2.9926585911649918e-05, + "loss": 6.7992, + "loss/crossentropy": 1.9993659257888794, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1665945127606392, + "step": 3790 + }, + { + "epoch": 0.6318333333333334, + "grad_norm": 22.375, + "grad_norm_var": 0.9059895833333333, + "learning_rate": 2.9902611167202e-05, + "loss": 6.6715, + "loss/crossentropy": 2.2886002957820892, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.16994880139827728, + "step": 3791 + }, + { + "epoch": 0.632, + "grad_norm": 22.125, + "grad_norm_var": 0.8775390625, + "learning_rate": 2.987864193256722e-05, + "loss": 6.3832, + "loss/crossentropy": 2.112014651298523, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15024635195732117, + "step": 3792 + }, + { + "epoch": 0.6321666666666667, + "grad_norm": 21.75, + "grad_norm_var": 0.9864583333333333, + "learning_rate": 2.9854678214316873e-05, + "loss": 6.5922, + "loss/crossentropy": 2.060280963778496, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.17029084637761116, + "step": 3793 + }, + { + "epoch": 0.6323333333333333, + "grad_norm": 22.125, + "grad_norm_var": 0.9864583333333333, + "learning_rate": 2.9830720019020752e-05, + "loss": 6.7183, + "loss/crossentropy": 2.2707716524600983, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.1736236996948719, + "step": 3794 + }, + { + "epoch": 0.6325, + "grad_norm": 21.375, + "grad_norm_var": 1.1535807291666667, + "learning_rate": 2.980676735324713e-05, + "loss": 6.5729, + "loss/crossentropy": 1.7645515203475952, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.14612646773457527, + "step": 3795 + }, + { + "epoch": 0.6326666666666667, + "grad_norm": 23.5, + "grad_norm_var": 1.1166666666666667, + "learning_rate": 2.9782820223562756e-05, + "loss": 6.5381, + "loss/crossentropy": 1.7443532347679138, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1511255856603384, + "step": 3796 + }, + { + "epoch": 0.6328333333333334, + "grad_norm": 22.875, + "grad_norm_var": 1.0363932291666667, + "learning_rate": 2.9758878636532883e-05, + "loss": 6.7479, + "loss/crossentropy": 2.0274878293275833, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.15806104615330696, + "step": 3797 + }, + { + "epoch": 0.633, + "grad_norm": 22.75, + "grad_norm_var": 1.0280598958333333, + "learning_rate": 2.9734942598721238e-05, + "loss": 6.5525, + "loss/crossentropy": 1.553374707698822, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.14275990426540375, + "step": 3798 + }, + { + "epoch": 0.6331666666666667, + "grad_norm": 23.25, + "grad_norm_var": 1.0348307291666667, + "learning_rate": 2.9711012116690007e-05, + "loss": 6.7259, + "loss/crossentropy": 2.0299915075302124, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.14808335155248642, + "step": 3799 + }, + { + "epoch": 0.6333333333333333, + "grad_norm": 21.125, + "grad_norm_var": 1.2223307291666667, + "learning_rate": 2.9687087196999874e-05, + "loss": 6.4475, + "loss/crossentropy": 1.3043783605098724, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1222011186182499, + "step": 3800 + }, + { + "epoch": 0.6335, + "grad_norm": 22.375, + "grad_norm_var": 1.2330729166666667, + "learning_rate": 2.9663167846209998e-05, + "loss": 6.8678, + "loss/crossentropy": 2.0736157596111298, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.20474595949053764, + "step": 3801 + }, + { + "epoch": 0.6336666666666667, + "grad_norm": 22.375, + "grad_norm_var": 1.1374348958333333, + "learning_rate": 2.9639254070877996e-05, + "loss": 6.5203, + "loss/crossentropy": 1.8316842019557953, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.13526898249983788, + "step": 3802 + }, + { + "epoch": 0.6338333333333334, + "grad_norm": 40.5, + "grad_norm_var": 20.958268229166666, + "learning_rate": 2.961534587755995e-05, + "loss": 6.4836, + "loss/crossentropy": 1.9792008697986603, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1515730768442154, + "step": 3803 + }, + { + "epoch": 0.634, + "grad_norm": 22.875, + "grad_norm_var": 20.984830729166667, + "learning_rate": 2.9591443272810464e-05, + "loss": 6.6208, + "loss/crossentropy": 1.5109469592571259, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.19001780450344086, + "step": 3804 + }, + { + "epoch": 0.6341666666666667, + "grad_norm": 21.875, + "grad_norm_var": 21.128580729166668, + "learning_rate": 2.9567546263182556e-05, + "loss": 6.3985, + "loss/crossentropy": 1.7773579061031342, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.14684626460075378, + "step": 3805 + }, + { + "epoch": 0.6343333333333333, + "grad_norm": 21.125, + "grad_norm_var": 21.287955729166665, + "learning_rate": 2.954365485522771e-05, + "loss": 6.4208, + "loss/crossentropy": 2.049221009016037, + "loss/hidden": 2.9375, + "loss/jsd": 0.0, + "loss/logits": 0.15320999547839165, + "step": 3806 + }, + { + "epoch": 0.6345, + "grad_norm": 23.125, + "grad_norm_var": 21.220768229166666, + "learning_rate": 2.9519769055495915e-05, + "loss": 6.7726, + "loss/crossentropy": 2.4591960310935974, + "loss/hidden": 2.90234375, + "loss/jsd": 0.0, + "loss/logits": 0.14632099121809006, + "step": 3807 + }, + { + "epoch": 0.6346666666666667, + "grad_norm": 33.25, + "grad_norm_var": 26.99765625, + "learning_rate": 2.949588887053558e-05, + "loss": 6.6547, + "loss/crossentropy": 1.8247623443603516, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1430463008582592, + "step": 3808 + }, + { + "epoch": 0.6348333333333334, + "grad_norm": 24.0, + "grad_norm_var": 26.596875, + "learning_rate": 2.9472014306893603e-05, + "loss": 6.6509, + "loss/crossentropy": 1.802028089761734, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.15178747288882732, + "step": 3809 + }, + { + "epoch": 0.635, + "grad_norm": 22.375, + "grad_norm_var": 26.52890625, + "learning_rate": 2.9448145371115333e-05, + "loss": 6.4703, + "loss/crossentropy": 1.7846620976924896, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1344848871231079, + "step": 3810 + }, + { + "epoch": 0.6351666666666667, + "grad_norm": 24.625, + "grad_norm_var": 25.922916666666666, + "learning_rate": 2.9424282069744564e-05, + "loss": 6.4474, + "loss/crossentropy": 1.5580291897058487, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.13947392255067825, + "step": 3811 + }, + { + "epoch": 0.6353333333333333, + "grad_norm": 30.75, + "grad_norm_var": 28.24140625, + "learning_rate": 2.940042440932357e-05, + "loss": 6.7026, + "loss/crossentropy": 2.045635461807251, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.15729663893580437, + "step": 3812 + }, + { + "epoch": 0.6355, + "grad_norm": 24.25, + "grad_norm_var": 27.978580729166666, + "learning_rate": 2.9376572396393048e-05, + "loss": 6.6734, + "loss/crossentropy": 1.683109074831009, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17156365141272545, + "step": 3813 + }, + { + "epoch": 0.6356666666666667, + "grad_norm": 26.0, + "grad_norm_var": 27.646809895833332, + "learning_rate": 2.9352726037492174e-05, + "loss": 6.5127, + "loss/crossentropy": 1.7867481261491776, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1612216718494892, + "step": 3814 + }, + { + "epoch": 0.6358333333333334, + "grad_norm": 23.5, + "grad_norm_var": 27.584309895833332, + "learning_rate": 2.932888533915855e-05, + "loss": 6.4375, + "loss/crossentropy": 2.213004618883133, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.13517280481755733, + "step": 3815 + }, + { + "epoch": 0.636, + "grad_norm": 22.375, + "grad_norm_var": 26.9931640625, + "learning_rate": 2.9305050307928262e-05, + "loss": 6.4117, + "loss/crossentropy": 2.1107205152511597, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.14998907409608364, + "step": 3816 + }, + { + "epoch": 0.6361666666666667, + "grad_norm": 20.625, + "grad_norm_var": 27.875455729166667, + "learning_rate": 2.9281220950335796e-05, + "loss": 6.6117, + "loss/crossentropy": 2.004567801952362, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.14971857890486717, + "step": 3817 + }, + { + "epoch": 0.6363333333333333, + "grad_norm": 22.0, + "grad_norm_var": 28.026822916666667, + "learning_rate": 2.9257397272914118e-05, + "loss": 6.6556, + "loss/crossentropy": 1.513397455215454, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.20063899084925652, + "step": 3818 + }, + { + "epoch": 0.6365, + "grad_norm": 22.0, + "grad_norm_var": 11.68515625, + "learning_rate": 2.9233579282194617e-05, + "loss": 6.8337, + "loss/crossentropy": 1.948664516210556, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.17856454104185104, + "step": 3819 + }, + { + "epoch": 0.6366666666666667, + "grad_norm": 22.125, + "grad_norm_var": 11.8375, + "learning_rate": 2.9209766984707145e-05, + "loss": 6.6257, + "loss/crossentropy": 2.269103169441223, + "loss/hidden": 2.9296875, + "loss/jsd": 0.0, + "loss/logits": 0.14355167001485825, + "step": 3820 + }, + { + "epoch": 0.6368333333333334, + "grad_norm": 21.25, + "grad_norm_var": 12.038997395833333, + "learning_rate": 2.918596038697995e-05, + "loss": 6.5278, + "loss/crossentropy": 1.9391964972019196, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.13381071388721466, + "step": 3821 + }, + { + "epoch": 0.637, + "grad_norm": 24.75, + "grad_norm_var": 11.489583333333334, + "learning_rate": 2.916215949553977e-05, + "loss": 6.829, + "loss/crossentropy": 1.9300285279750824, + "loss/hidden": 2.875, + "loss/jsd": 0.0, + "loss/logits": 0.1352444663643837, + "step": 3822 + }, + { + "epoch": 0.6371666666666667, + "grad_norm": 24.125, + "grad_norm_var": 11.410416666666666, + "learning_rate": 2.913836431691175e-05, + "loss": 6.7248, + "loss/crossentropy": 2.1935607194900513, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.1749701239168644, + "step": 3823 + }, + { + "epoch": 0.6373333333333333, + "grad_norm": 23.375, + "grad_norm_var": 5.655143229166667, + "learning_rate": 2.9114574857619463e-05, + "loss": 6.3957, + "loss/crossentropy": 1.696716070175171, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.12129583768546581, + "step": 3824 + }, + { + "epoch": 0.6375, + "grad_norm": 22.25, + "grad_norm_var": 5.760872395833333, + "learning_rate": 2.9090791124184935e-05, + "loss": 6.5989, + "loss/crossentropy": 1.773533508181572, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16547655500471592, + "step": 3825 + }, + { + "epoch": 0.6376666666666667, + "grad_norm": 22.125, + "grad_norm_var": 5.803059895833333, + "learning_rate": 2.9067013123128613e-05, + "loss": 6.468, + "loss/crossentropy": 1.6909196078777313, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.13438444212079048, + "step": 3826 + }, + { + "epoch": 0.6378333333333334, + "grad_norm": 24.125, + "grad_norm_var": 5.744205729166667, + "learning_rate": 2.904324086096934e-05, + "loss": 6.8568, + "loss/crossentropy": 2.5620959103107452, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.18565301969647408, + "step": 3827 + }, + { + "epoch": 0.638, + "grad_norm": 22.25, + "grad_norm_var": 2.0166015625, + "learning_rate": 2.9019474344224464e-05, + "loss": 6.6859, + "loss/crossentropy": 1.8652014136314392, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.14526756666600704, + "step": 3828 + }, + { + "epoch": 0.6381666666666667, + "grad_norm": 22.75, + "grad_norm_var": 1.8962890625, + "learning_rate": 2.899571357940969e-05, + "loss": 6.6126, + "loss/crossentropy": 2.02158060669899, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.18144067376852036, + "step": 3829 + }, + { + "epoch": 0.6383333333333333, + "grad_norm": 21.5, + "grad_norm_var": 1.2728515625, + "learning_rate": 2.897195857303916e-05, + "loss": 6.5879, + "loss/crossentropy": 1.533649981021881, + "loss/hidden": 2.96875, + "loss/jsd": 0.0, + "loss/logits": 0.13888578116893768, + "step": 3830 + }, + { + "epoch": 0.6385, + "grad_norm": 23.5, + "grad_norm_var": 1.2728515625, + "learning_rate": 2.8948209331625454e-05, + "loss": 6.5309, + "loss/crossentropy": 2.05950129032135, + "loss/hidden": 2.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.13530108705163002, + "step": 3831 + }, + { + "epoch": 0.6386666666666667, + "grad_norm": 22.875, + "grad_norm_var": 1.2754557291666666, + "learning_rate": 2.892446586167955e-05, + "loss": 6.5043, + "loss/crossentropy": 1.9172077775001526, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.15061899088323116, + "step": 3832 + }, + { + "epoch": 0.6388333333333334, + "grad_norm": 25.875, + "grad_norm_var": 1.6145182291666667, + "learning_rate": 2.8900728169710867e-05, + "loss": 6.8547, + "loss/crossentropy": 2.020879626274109, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1592126376926899, + "step": 3833 + }, + { + "epoch": 0.639, + "grad_norm": 22.75, + "grad_norm_var": 1.5567057291666666, + "learning_rate": 2.887699626222722e-05, + "loss": 6.6591, + "loss/crossentropy": 1.581008866429329, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1779985912144184, + "step": 3834 + }, + { + "epoch": 0.6391666666666667, + "grad_norm": 25.75, + "grad_norm_var": 1.9473307291666666, + "learning_rate": 2.8853270145734846e-05, + "loss": 6.3661, + "loss/crossentropy": 1.6619487702846527, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.15126613527536392, + "step": 3835 + }, + { + "epoch": 0.6393333333333333, + "grad_norm": 25.25, + "grad_norm_var": 2.105208333333333, + "learning_rate": 2.88295498267384e-05, + "loss": 6.7973, + "loss/crossentropy": 2.063781440258026, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.18146813660860062, + "step": 3836 + }, + { + "epoch": 0.6395, + "grad_norm": 22.75, + "grad_norm_var": 1.8145833333333334, + "learning_rate": 2.8805835311740932e-05, + "loss": 6.5946, + "loss/crossentropy": 1.8965283036231995, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.21976305544376373, + "step": 3837 + }, + { + "epoch": 0.6396666666666667, + "grad_norm": 22.25, + "grad_norm_var": 1.7885416666666667, + "learning_rate": 2.878212660724392e-05, + "loss": 6.4456, + "loss/crossentropy": 2.1393970251083374, + "loss/hidden": 3.00390625, + "loss/jsd": 0.0, + "loss/logits": 0.15178284235298634, + "step": 3838 + }, + { + "epoch": 0.6398333333333334, + "grad_norm": 25.625, + "grad_norm_var": 2.0854166666666667, + "learning_rate": 2.8758423719747218e-05, + "loss": 6.9177, + "loss/crossentropy": 2.1963367462158203, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.19216197729110718, + "step": 3839 + }, + { + "epoch": 0.64, + "grad_norm": 22.125, + "grad_norm_var": 2.193489583333333, + "learning_rate": 2.8734726655749146e-05, + "loss": 6.4995, + "loss/crossentropy": 1.4910331219434738, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.13785823993384838, + "step": 3840 + }, + { + "epoch": 0.6401666666666667, + "grad_norm": 23.875, + "grad_norm_var": 2.1181640625, + "learning_rate": 2.8711035421746367e-05, + "loss": 6.5858, + "loss/crossentropy": 2.0640101730823517, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.17603762447834015, + "step": 3841 + }, + { + "epoch": 0.6403333333333333, + "grad_norm": 22.625, + "grad_norm_var": 2.0447265625, + "learning_rate": 2.8687350024233967e-05, + "loss": 6.7648, + "loss/crossentropy": 2.066746234893799, + "loss/hidden": 3.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.14736796915531158, + "step": 3842 + }, + { + "epoch": 0.6405, + "grad_norm": 22.625, + "grad_norm_var": 2.0587890625, + "learning_rate": 2.8663670469705434e-05, + "loss": 6.4555, + "loss/crossentropy": 2.0428238213062286, + "loss/hidden": 2.94921875, + "loss/jsd": 0.0, + "loss/logits": 0.13682982698082924, + "step": 3843 + }, + { + "epoch": 0.6406666666666667, + "grad_norm": 22.125, + "grad_norm_var": 2.07890625, + "learning_rate": 2.8639996764652653e-05, + "loss": 6.8194, + "loss/crossentropy": 2.0702032148838043, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.13252203166484833, + "step": 3844 + }, + { + "epoch": 0.6408333333333334, + "grad_norm": 23.25, + "grad_norm_var": 2.0518229166666666, + "learning_rate": 2.8616328915565904e-05, + "loss": 6.555, + "loss/crossentropy": 1.5769726634025574, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1344961989670992, + "step": 3845 + }, + { + "epoch": 0.641, + "grad_norm": 4093640704.0, + "grad_norm_var": 1.0473683762896961e+18, + "learning_rate": 2.859266692893386e-05, + "loss": 6.8016, + "loss/crossentropy": 1.736493080854416, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.14123236760497093, + "step": 3846 + }, + { + "epoch": 0.6411666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.047368376306753e+18, + "learning_rate": 2.856901081124359e-05, + "loss": 6.5923, + "loss/crossentropy": 2.4376919269561768, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.16874632239341736, + "step": 3847 + }, + { + "epoch": 0.6413333333333333, + "grad_norm": 24.0, + "grad_norm_var": 1.0473683762683752e+18, + "learning_rate": 2.854536056898055e-05, + "loss": 6.8265, + "loss/crossentropy": 1.655045986175537, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.13618794083595276, + "step": 3848 + }, + { + "epoch": 0.6415, + "grad_norm": 22.875, + "grad_norm_var": 1.0473683763707162e+18, + "learning_rate": 2.8521716208628595e-05, + "loss": 6.6514, + "loss/crossentropy": 1.901224136352539, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.20306574925780296, + "step": 3849 + }, + { + "epoch": 0.6416666666666667, + "grad_norm": 22.875, + "grad_norm_var": 1.047368376366452e+18, + "learning_rate": 2.849807773666996e-05, + "loss": 6.7944, + "loss/crossentropy": 2.1458217203617096, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.16338539868593216, + "step": 3850 + }, + { + "epoch": 0.6418333333333334, + "grad_norm": 23.625, + "grad_norm_var": 1.0473683764389435e+18, + "learning_rate": 2.8474445159585235e-05, + "loss": 6.7573, + "loss/crossentropy": 2.0615507662296295, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1678449921309948, + "step": 3851 + }, + { + "epoch": 0.642, + "grad_norm": 22.875, + "grad_norm_var": 1.0473683765199635e+18, + "learning_rate": 2.8450818483853474e-05, + "loss": 6.708, + "loss/crossentropy": 2.201184391975403, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.1526055745780468, + "step": 3852 + }, + { + "epoch": 0.6421666666666667, + "grad_norm": 22.375, + "grad_norm_var": 1.0473683765327561e+18, + "learning_rate": 2.8427197715952047e-05, + "loss": 6.5027, + "loss/crossentropy": 1.9534529447555542, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.14281632006168365, + "step": 3853 + }, + { + "epoch": 0.6423333333333333, + "grad_norm": 22.625, + "grad_norm_var": 1.0473683765199635e+18, + "learning_rate": 2.8403582862356716e-05, + "loss": 6.8006, + "loss/crossentropy": 1.5509959906339645, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.13461608439683914, + "step": 3854 + }, + { + "epoch": 0.6425, + "grad_norm": 22.5, + "grad_norm_var": 1.0473683766265687e+18, + "learning_rate": 2.8379973929541646e-05, + "loss": 6.6204, + "loss/crossentropy": 1.718142956495285, + "loss/hidden": 3.11328125, + "loss/jsd": 0.0, + "loss/logits": 0.1471870318055153, + "step": 3855 + }, + { + "epoch": 0.6426666666666667, + "grad_norm": 21.875, + "grad_norm_var": 1.0473683766350971e+18, + "learning_rate": 2.8356370923979324e-05, + "loss": 6.6937, + "loss/crossentropy": 1.943495273590088, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.1795295812189579, + "step": 3856 + }, + { + "epoch": 0.6428333333333334, + "grad_norm": 22.75, + "grad_norm_var": 1.047368376673475e+18, + "learning_rate": 2.8332773852140644e-05, + "loss": 6.5494, + "loss/crossentropy": 2.39728245139122, + "loss/hidden": 2.875, + "loss/jsd": 0.0, + "loss/logits": 0.14621420577168465, + "step": 3857 + }, + { + "epoch": 0.643, + "grad_norm": 22.0, + "grad_norm_var": 1.047368376694796e+18, + "learning_rate": 2.830918272049492e-05, + "loss": 6.6664, + "loss/crossentropy": 1.8167335093021393, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.13468449003994465, + "step": 3858 + }, + { + "epoch": 0.6431666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.0473683766820035e+18, + "learning_rate": 2.828559753550977e-05, + "loss": 6.5714, + "loss/crossentropy": 1.8379640579223633, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1575465202331543, + "step": 3859 + }, + { + "epoch": 0.6433333333333333, + "grad_norm": 23.375, + "grad_norm_var": 1.0473683766393613e+18, + "learning_rate": 2.8262018303651216e-05, + "loss": 6.5554, + "loss/crossentropy": 1.3472541272640228, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.13357838988304138, + "step": 3860 + }, + { + "epoch": 0.6435, + "grad_norm": 22.375, + "grad_norm_var": 1.0473683766692108e+18, + "learning_rate": 2.823844503138363e-05, + "loss": 6.4106, + "loss/crossentropy": 2.4368216395378113, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.151106845587492, + "step": 3861 + }, + { + "epoch": 0.6436666666666667, + "grad_norm": 22.625, + "grad_norm_var": 0.30390625, + "learning_rate": 2.8214877725169765e-05, + "loss": 6.6376, + "loss/crossentropy": 1.760371834039688, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.1448116898536682, + "step": 3862 + }, + { + "epoch": 0.6438333333333334, + "grad_norm": 22.75, + "grad_norm_var": 0.30104166666666665, + "learning_rate": 2.8191316391470703e-05, + "loss": 6.6443, + "loss/crossentropy": 1.6532936990261078, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.13918804749846458, + "step": 3863 + }, + { + "epoch": 0.644, + "grad_norm": 23.125, + "grad_norm_var": 0.20670572916666666, + "learning_rate": 2.8167761036745954e-05, + "loss": 6.282, + "loss/crossentropy": 1.7325378507375717, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.14776782132685184, + "step": 3864 + }, + { + "epoch": 0.6441666666666667, + "grad_norm": 24.125, + "grad_norm_var": 0.3291015625, + "learning_rate": 2.8144211667453368e-05, + "loss": 6.8288, + "loss/crossentropy": 2.4921546578407288, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.23917636647820473, + "step": 3865 + }, + { + "epoch": 0.6443333333333333, + "grad_norm": 24.75, + "grad_norm_var": 0.56640625, + "learning_rate": 2.8120668290049085e-05, + "loss": 6.6483, + "loss/crossentropy": 1.6664460897445679, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.1858451720327139, + "step": 3866 + }, + { + "epoch": 0.6445, + "grad_norm": 23.75, + "grad_norm_var": 0.5791015625, + "learning_rate": 2.809713091098768e-05, + "loss": 6.5671, + "loss/crossentropy": 1.647431120276451, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.12781968712806702, + "step": 3867 + }, + { + "epoch": 0.6446666666666667, + "grad_norm": 23.25, + "grad_norm_var": 0.58515625, + "learning_rate": 2.807359953672206e-05, + "loss": 7.006, + "loss/crossentropy": 2.035738319158554, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.14208893477916718, + "step": 3868 + }, + { + "epoch": 0.6448333333333334, + "grad_norm": 22.375, + "grad_norm_var": 0.58515625, + "learning_rate": 2.8050074173703465e-05, + "loss": 6.6047, + "loss/crossentropy": 1.9705331921577454, + "loss/hidden": 2.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.12757360376417637, + "step": 3869 + }, + { + "epoch": 0.645, + "grad_norm": 23.125, + "grad_norm_var": 0.57890625, + "learning_rate": 2.8026554828381547e-05, + "loss": 6.6767, + "loss/crossentropy": 1.7230791747570038, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15884387120604515, + "step": 3870 + }, + { + "epoch": 0.6451666666666667, + "grad_norm": 23.375, + "grad_norm_var": 0.5702473958333333, + "learning_rate": 2.8003041507204242e-05, + "loss": 6.6627, + "loss/crossentropy": 2.154522716999054, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.1731933131814003, + "step": 3871 + }, + { + "epoch": 0.6453333333333333, + "grad_norm": 23.5, + "grad_norm_var": 0.4830729166666667, + "learning_rate": 2.7979534216617863e-05, + "loss": 6.6698, + "loss/crossentropy": 1.901412695646286, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.175508763641119, + "step": 3872 + }, + { + "epoch": 0.6455, + "grad_norm": 23.125, + "grad_norm_var": 0.4723307291666667, + "learning_rate": 2.795603296306708e-05, + "loss": 6.5373, + "loss/crossentropy": 2.4865563809871674, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.16824008896946907, + "step": 3873 + }, + { + "epoch": 0.6456666666666667, + "grad_norm": 24.5, + "grad_norm_var": 0.4749348958333333, + "learning_rate": 2.793253775299487e-05, + "loss": 6.789, + "loss/crossentropy": 1.71130833029747, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16796140372753143, + "step": 3874 + }, + { + "epoch": 0.6458333333333334, + "grad_norm": 23.0, + "grad_norm_var": 0.4749348958333333, + "learning_rate": 2.7909048592842603e-05, + "loss": 6.7321, + "loss/crossentropy": 1.3700806200504303, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.12738792598247528, + "step": 3875 + }, + { + "epoch": 0.646, + "grad_norm": 20.75, + "grad_norm_var": 0.8864583333333333, + "learning_rate": 2.7885565489049946e-05, + "loss": 6.5635, + "loss/crossentropy": 1.7629915475845337, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.1366513278335333, + "step": 3876 + }, + { + "epoch": 0.6461666666666667, + "grad_norm": 21.625, + "grad_norm_var": 0.9997395833333333, + "learning_rate": 2.7862088448054936e-05, + "loss": 6.5997, + "loss/crossentropy": 1.744392216205597, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.2199861966073513, + "step": 3877 + }, + { + "epoch": 0.6463333333333333, + "grad_norm": 22.375, + "grad_norm_var": 1.0197916666666667, + "learning_rate": 2.7838617476293926e-05, + "loss": 6.4405, + "loss/crossentropy": 1.6348493695259094, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.14368904009461403, + "step": 3878 + }, + { + "epoch": 0.6465, + "grad_norm": 23.625, + "grad_norm_var": 1.0275390625, + "learning_rate": 2.7815152580201637e-05, + "loss": 6.7461, + "loss/crossentropy": 1.9350768327713013, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.14790258929133415, + "step": 3879 + }, + { + "epoch": 0.6466666666666666, + "grad_norm": 23.75, + "grad_norm_var": 1.05, + "learning_rate": 2.779169376621108e-05, + "loss": 6.5611, + "loss/crossentropy": 1.5861367583274841, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15533041954040527, + "step": 3880 + }, + { + "epoch": 0.6468333333333334, + "grad_norm": 23.625, + "grad_norm_var": 1.003125, + "learning_rate": 2.776824104075364e-05, + "loss": 6.5888, + "loss/crossentropy": 1.725308507680893, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.14842519350349903, + "step": 3881 + }, + { + "epoch": 0.647, + "grad_norm": 24.125, + "grad_norm_var": 0.8947265625, + "learning_rate": 2.774479441025899e-05, + "loss": 6.6759, + "loss/crossentropy": 1.7016562819480896, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.23213966004550457, + "step": 3882 + }, + { + "epoch": 0.6471666666666667, + "grad_norm": 23.125, + "grad_norm_var": 0.86640625, + "learning_rate": 2.772135388115519e-05, + "loss": 6.5568, + "loss/crossentropy": 1.9740324020385742, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16820251941680908, + "step": 3883 + }, + { + "epoch": 0.6473333333333333, + "grad_norm": 22.125, + "grad_norm_var": 0.9197265625, + "learning_rate": 2.769791945986857e-05, + "loss": 6.6924, + "loss/crossentropy": 1.8265832364559174, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.14217517524957657, + "step": 3884 + }, + { + "epoch": 0.6475, + "grad_norm": 23.0, + "grad_norm_var": 0.89140625, + "learning_rate": 2.7674491152823822e-05, + "loss": 6.6327, + "loss/crossentropy": 2.248535394668579, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.16683853417634964, + "step": 3885 + }, + { + "epoch": 0.6476666666666666, + "grad_norm": 23.0, + "grad_norm_var": 0.8910807291666667, + "learning_rate": 2.765106896644395e-05, + "loss": 6.7286, + "loss/crossentropy": 1.9689559936523438, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.14757629111409187, + "step": 3886 + }, + { + "epoch": 0.6478333333333334, + "grad_norm": 22.875, + "grad_norm_var": 0.8843098958333333, + "learning_rate": 2.762765290715027e-05, + "loss": 6.7727, + "loss/crossentropy": 1.8790463954210281, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.130938358604908, + "step": 3887 + }, + { + "epoch": 0.648, + "grad_norm": 22.75, + "grad_norm_var": 0.8702473958333333, + "learning_rate": 2.7604242981362426e-05, + "loss": 6.6347, + "loss/crossentropy": 1.6906415820121765, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.14919869974255562, + "step": 3888 + }, + { + "epoch": 0.6481666666666667, + "grad_norm": 21.25, + "grad_norm_var": 1.0489583333333334, + "learning_rate": 2.7580839195498398e-05, + "loss": 6.8063, + "loss/crossentropy": 1.8625032305717468, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1347317323088646, + "step": 3889 + }, + { + "epoch": 0.6483333333333333, + "grad_norm": 23.625, + "grad_norm_var": 0.9035807291666667, + "learning_rate": 2.755744155597445e-05, + "loss": 6.87, + "loss/crossentropy": 2.2796398997306824, + "loss/hidden": 3.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.16277746856212616, + "step": 3890 + }, + { + "epoch": 0.6485, + "grad_norm": 22.0, + "grad_norm_var": 0.9379557291666667, + "learning_rate": 2.753405006920518e-05, + "loss": 6.7137, + "loss/crossentropy": 2.076170712709427, + "loss/hidden": 2.984375, + "loss/jsd": 0.0, + "loss/logits": 0.14738574624061584, + "step": 3891 + }, + { + "epoch": 0.6486666666666666, + "grad_norm": 23.25, + "grad_norm_var": 0.6697265625, + "learning_rate": 2.7510664741603504e-05, + "loss": 6.5627, + "loss/crossentropy": 1.9741366356611252, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.1292392462491989, + "step": 3892 + }, + { + "epoch": 0.6488333333333334, + "grad_norm": 21.25, + "grad_norm_var": 0.74140625, + "learning_rate": 2.7487285579580637e-05, + "loss": 6.7348, + "loss/crossentropy": 2.161403611302376, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17296407371759415, + "step": 3893 + }, + { + "epoch": 0.649, + "grad_norm": 25.125, + "grad_norm_var": 1.0364583333333333, + "learning_rate": 2.746391258954609e-05, + "loss": 6.754, + "loss/crossentropy": 1.7061556279659271, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.15326480939984322, + "step": 3894 + }, + { + "epoch": 0.6491666666666667, + "grad_norm": 20.75, + "grad_norm_var": 1.3254557291666667, + "learning_rate": 2.7440545777907746e-05, + "loss": 6.4469, + "loss/crossentropy": 1.0414933264255524, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1144489049911499, + "step": 3895 + }, + { + "epoch": 0.6493333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.2733723958333334, + "learning_rate": 2.7417185151071716e-05, + "loss": 6.6076, + "loss/crossentropy": 1.955979824066162, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.2145237885415554, + "step": 3896 + }, + { + "epoch": 0.6495, + "grad_norm": 22.25, + "grad_norm_var": 1.2354166666666666, + "learning_rate": 2.739383071544246e-05, + "loss": 6.7378, + "loss/crossentropy": 1.7346896529197693, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.18077800050377846, + "step": 3897 + }, + { + "epoch": 0.6496666666666666, + "grad_norm": 22.5, + "grad_norm_var": 1.0889973958333334, + "learning_rate": 2.7370482477422734e-05, + "loss": 6.6323, + "loss/crossentropy": 2.318106770515442, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.1703408919274807, + "step": 3898 + }, + { + "epoch": 0.6498333333333334, + "grad_norm": 22.625, + "grad_norm_var": 1.0686848958333333, + "learning_rate": 2.7347140443413586e-05, + "loss": 6.8007, + "loss/crossentropy": 2.2783507108688354, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.14294154196977615, + "step": 3899 + }, + { + "epoch": 0.65, + "grad_norm": 23.125, + "grad_norm_var": 1.0738932291666667, + "learning_rate": 2.732380461981433e-05, + "loss": 6.8232, + "loss/crossentropy": 2.264741361141205, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1802615337073803, + "step": 3900 + }, + { + "epoch": 0.6501666666666667, + "grad_norm": 23.375, + "grad_norm_var": 1.1018229166666667, + "learning_rate": 2.7300475013022663e-05, + "loss": 6.8812, + "loss/crossentropy": 1.68520787358284, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1570441760122776, + "step": 3901 + }, + { + "epoch": 0.6503333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.0934895833333333, + "learning_rate": 2.7277151629434516e-05, + "loss": 6.5494, + "loss/crossentropy": 1.5159436017274857, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1241951733827591, + "step": 3902 + }, + { + "epoch": 0.6505, + "grad_norm": 23.875, + "grad_norm_var": 1.19140625, + "learning_rate": 2.7253834475444123e-05, + "loss": 6.6661, + "loss/crossentropy": 2.2569407522678375, + "loss/hidden": 3.03515625, + "loss/jsd": 0.0, + "loss/logits": 0.19888360425829887, + "step": 3903 + }, + { + "epoch": 0.6506666666666666, + "grad_norm": 22.5, + "grad_norm_var": 1.1927083333333333, + "learning_rate": 2.7230523557444017e-05, + "loss": 6.5243, + "loss/crossentropy": 1.4171087741851807, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.1516565941274166, + "step": 3904 + }, + { + "epoch": 0.6508333333333334, + "grad_norm": 21.375, + "grad_norm_var": 1.1702473958333333, + "learning_rate": 2.7207218881825014e-05, + "loss": 6.317, + "loss/crossentropy": 1.9266310632228851, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.1314726322889328, + "step": 3905 + }, + { + "epoch": 0.651, + "grad_norm": 23.0, + "grad_norm_var": 1.1145833333333333, + "learning_rate": 2.7183920454976196e-05, + "loss": 6.5642, + "loss/crossentropy": 1.9831513166427612, + "loss/hidden": 3.015625, + "loss/jsd": 0.0, + "loss/logits": 0.15205241739749908, + "step": 3906 + }, + { + "epoch": 0.6511666666666667, + "grad_norm": 23.375, + "grad_norm_var": 1.1181640625, + "learning_rate": 2.7160628283285018e-05, + "loss": 6.6959, + "loss/crossentropy": 1.8666602671146393, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.1817842423915863, + "step": 3907 + }, + { + "epoch": 0.6513333333333333, + "grad_norm": 23.25, + "grad_norm_var": 1.1181640625, + "learning_rate": 2.7137342373137133e-05, + "loss": 6.8286, + "loss/crossentropy": 2.0868252217769623, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.13958430662751198, + "step": 3908 + }, + { + "epoch": 0.6515, + "grad_norm": 22.75, + "grad_norm_var": 0.9666015625, + "learning_rate": 2.7114062730916512e-05, + "loss": 6.6181, + "loss/crossentropy": 1.8797789812088013, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16957644000649452, + "step": 3909 + }, + { + "epoch": 0.6516666666666666, + "grad_norm": 21.625, + "grad_norm_var": 0.6494140625, + "learning_rate": 2.7090789363005376e-05, + "loss": 6.4869, + "loss/crossentropy": 2.4480019211769104, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.17327657714486122, + "step": 3910 + }, + { + "epoch": 0.6518333333333334, + "grad_norm": 22.0, + "grad_norm_var": 0.4410807291666667, + "learning_rate": 2.7067522275784273e-05, + "loss": 6.426, + "loss/crossentropy": 2.1919057071208954, + "loss/hidden": 2.921875, + "loss/jsd": 0.0, + "loss/logits": 0.1356281116604805, + "step": 3911 + }, + { + "epoch": 0.652, + "grad_norm": 23.625, + "grad_norm_var": 0.49557291666666664, + "learning_rate": 2.7044261475631976e-05, + "loss": 6.3708, + "loss/crossentropy": 2.1264297664165497, + "loss/hidden": 2.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.1304289996623993, + "step": 3912 + }, + { + "epoch": 0.6521666666666667, + "grad_norm": 22.5, + "grad_norm_var": 0.48333333333333334, + "learning_rate": 2.702100696892561e-05, + "loss": 6.7714, + "loss/crossentropy": 2.359971821308136, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.16908137314021587, + "step": 3913 + }, + { + "epoch": 0.6523333333333333, + "grad_norm": 22.375, + "grad_norm_var": 0.4884765625, + "learning_rate": 2.699775876204051e-05, + "loss": 6.5632, + "loss/crossentropy": 2.1737533509731293, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1634991429746151, + "step": 3914 + }, + { + "epoch": 0.6525, + "grad_norm": 23.125, + "grad_norm_var": 0.4962890625, + "learning_rate": 2.697451686135031e-05, + "loss": 6.8215, + "loss/crossentropy": 1.5980388522148132, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.1548613477498293, + "step": 3915 + }, + { + "epoch": 0.6526666666666666, + "grad_norm": 23.25, + "grad_norm_var": 0.503125, + "learning_rate": 2.695128127322689e-05, + "loss": 6.6962, + "loss/crossentropy": 2.0550194680690765, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.15741518884897232, + "step": 3916 + }, + { + "epoch": 0.6528333333333334, + "grad_norm": 22.375, + "grad_norm_var": 0.4864583333333333, + "learning_rate": 2.6928052004040438e-05, + "loss": 6.5197, + "loss/crossentropy": 1.8933537006378174, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1624015774577856, + "step": 3917 + }, + { + "epoch": 0.653, + "grad_norm": 22.375, + "grad_norm_var": 0.4910807291666667, + "learning_rate": 2.690482906015936e-05, + "loss": 6.8186, + "loss/crossentropy": 1.7407451421022415, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17299064993858337, + "step": 3918 + }, + { + "epoch": 0.6531666666666667, + "grad_norm": 22.0, + "grad_norm_var": 0.4197916666666667, + "learning_rate": 2.6881612447950423e-05, + "loss": 6.6167, + "loss/crossentropy": 1.8212170749902725, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.15348714962601662, + "step": 3919 + }, + { + "epoch": 0.6533333333333333, + "grad_norm": 23.125, + "grad_norm_var": 0.4363932291666667, + "learning_rate": 2.685840217377853e-05, + "loss": 6.6782, + "loss/crossentropy": 1.7278959304094315, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16852569580078125, + "step": 3920 + }, + { + "epoch": 0.6535, + "grad_norm": 24.5, + "grad_norm_var": 0.52265625, + "learning_rate": 2.6835198244006927e-05, + "loss": 6.8719, + "loss/crossentropy": 2.210935056209564, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1827438771724701, + "step": 3921 + }, + { + "epoch": 0.6536666666666666, + "grad_norm": 22.125, + "grad_norm_var": 0.5504557291666666, + "learning_rate": 2.6812000664997107e-05, + "loss": 6.4847, + "loss/crossentropy": 1.6114591360092163, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.1269902791827917, + "step": 3922 + }, + { + "epoch": 0.6538333333333334, + "grad_norm": 21.125, + "grad_norm_var": 0.6863932291666667, + "learning_rate": 2.678880944310882e-05, + "loss": 6.4396, + "loss/crossentropy": 2.249976634979248, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.15062562748789787, + "step": 3923 + }, + { + "epoch": 0.654, + "grad_norm": 23.25, + "grad_norm_var": 0.6863932291666667, + "learning_rate": 2.6765624584700046e-05, + "loss": 6.655, + "loss/crossentropy": 1.7354612052440643, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.20187365263700485, + "step": 3924 + }, + { + "epoch": 0.6541666666666667, + "grad_norm": 23.375, + "grad_norm_var": 0.7205729166666667, + "learning_rate": 2.674244609612708e-05, + "loss": 6.2677, + "loss/crossentropy": 1.3144223093986511, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.15915517508983612, + "step": 3925 + }, + { + "epoch": 0.6543333333333333, + "grad_norm": 21.5, + "grad_norm_var": 0.7389973958333333, + "learning_rate": 2.671927398374443e-05, + "loss": 6.5052, + "loss/crossentropy": 2.4222730696201324, + "loss/hidden": 2.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.1538584940135479, + "step": 3926 + }, + { + "epoch": 0.6545, + "grad_norm": 21.375, + "grad_norm_var": 0.81875, + "learning_rate": 2.6696108253904857e-05, + "loss": 6.4507, + "loss/crossentropy": 2.187582403421402, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.13817295245826244, + "step": 3927 + }, + { + "epoch": 0.6546666666666666, + "grad_norm": 22.0, + "grad_norm_var": 0.7671223958333333, + "learning_rate": 2.6672948912959373e-05, + "loss": 6.4159, + "loss/crossentropy": 1.9405021369457245, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.15597957372665405, + "step": 3928 + }, + { + "epoch": 0.6548333333333334, + "grad_norm": 23.0, + "grad_norm_var": 0.7811848958333333, + "learning_rate": 2.664979596725724e-05, + "loss": 6.7378, + "loss/crossentropy": 2.0756061375141144, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.23519181460142136, + "step": 3929 + }, + { + "epoch": 0.655, + "grad_norm": 21.5, + "grad_norm_var": 0.85, + "learning_rate": 2.662664942314598e-05, + "loss": 6.6484, + "loss/crossentropy": 2.287109613418579, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.149644635617733, + "step": 3930 + }, + { + "epoch": 0.6551666666666667, + "grad_norm": 22.625, + "grad_norm_var": 0.8239583333333333, + "learning_rate": 2.660350928697134e-05, + "loss": 6.5554, + "loss/crossentropy": 1.9213565587997437, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.17111871019005775, + "step": 3931 + }, + { + "epoch": 0.6553333333333333, + "grad_norm": 22.0, + "grad_norm_var": 0.79140625, + "learning_rate": 2.6580375565077325e-05, + "loss": 6.5095, + "loss/crossentropy": 1.731459841132164, + "loss/hidden": 3.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.1378606092184782, + "step": 3932 + }, + { + "epoch": 0.6555, + "grad_norm": 24.375, + "grad_norm_var": 1.0372395833333334, + "learning_rate": 2.6557248263806174e-05, + "loss": 6.8684, + "loss/crossentropy": 1.9360494911670685, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.15183617547154427, + "step": 3933 + }, + { + "epoch": 0.6556666666666666, + "grad_norm": 22.0, + "grad_norm_var": 1.0530598958333333, + "learning_rate": 2.6534127389498364e-05, + "loss": 6.4524, + "loss/crossentropy": 1.8709641993045807, + "loss/hidden": 2.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.1381691712886095, + "step": 3934 + }, + { + "epoch": 0.6558333333333334, + "grad_norm": 23.125, + "grad_norm_var": 1.0583333333333333, + "learning_rate": 2.6511012948492624e-05, + "loss": 6.5182, + "loss/crossentropy": 2.011420726776123, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.14551523700356483, + "step": 3935 + }, + { + "epoch": 0.656, + "grad_norm": 22.375, + "grad_norm_var": 1.0372395833333334, + "learning_rate": 2.6487904947125884e-05, + "loss": 6.4201, + "loss/crossentropy": 1.5381211042404175, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.11969528160989285, + "step": 3936 + }, + { + "epoch": 0.6561666666666667, + "grad_norm": 23.0, + "grad_norm_var": 0.7809895833333333, + "learning_rate": 2.6464803391733374e-05, + "loss": 6.6229, + "loss/crossentropy": 1.8475818037986755, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.18660349398851395, + "step": 3937 + }, + { + "epoch": 0.6563333333333333, + "grad_norm": 22.125, + "grad_norm_var": 0.7809895833333333, + "learning_rate": 2.6441708288648486e-05, + "loss": 6.6535, + "loss/crossentropy": 1.9699463844299316, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.17265967652201653, + "step": 3938 + }, + { + "epoch": 0.6565, + "grad_norm": 24.375, + "grad_norm_var": 0.8791666666666667, + "learning_rate": 2.6418619644202892e-05, + "loss": 6.757, + "loss/crossentropy": 1.9783309400081635, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.17862831614911556, + "step": 3939 + }, + { + "epoch": 0.6566666666666666, + "grad_norm": 23.125, + "grad_norm_var": 0.8697265625, + "learning_rate": 2.6395537464726462e-05, + "loss": 6.6112, + "loss/crossentropy": 1.5466361045837402, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.1602017879486084, + "step": 3940 + }, + { + "epoch": 0.6568333333333334, + "grad_norm": 23.625, + "grad_norm_var": 0.8988932291666667, + "learning_rate": 2.6372461756547306e-05, + "loss": 6.806, + "loss/crossentropy": 2.308123469352722, + "loss/hidden": 2.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.13405779749155045, + "step": 3941 + }, + { + "epoch": 0.657, + "grad_norm": 22.75, + "grad_norm_var": 0.8077473958333333, + "learning_rate": 2.6349392525991767e-05, + "loss": 6.7377, + "loss/crossentropy": 2.4510093927383423, + "loss/hidden": 2.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.15374885126948357, + "step": 3942 + }, + { + "epoch": 0.6571666666666667, + "grad_norm": 22.375, + "grad_norm_var": 0.6921223958333333, + "learning_rate": 2.6326329779384395e-05, + "loss": 6.6512, + "loss/crossentropy": 1.940150111913681, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.1426999494433403, + "step": 3943 + }, + { + "epoch": 0.6573333333333333, + "grad_norm": 21.25, + "grad_norm_var": 0.8046223958333333, + "learning_rate": 2.630327352304799e-05, + "loss": 6.8172, + "loss/crossentropy": 1.9362943768501282, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.18077221140265465, + "step": 3944 + }, + { + "epoch": 0.6575, + "grad_norm": 24.0, + "grad_norm_var": 0.9035807291666667, + "learning_rate": 2.6280223763303546e-05, + "loss": 6.5845, + "loss/crossentropy": 1.6852448880672455, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.18492230400443077, + "step": 3945 + }, + { + "epoch": 0.6576666666666666, + "grad_norm": 20.875, + "grad_norm_var": 1.0354166666666667, + "learning_rate": 2.625718050647028e-05, + "loss": 6.7078, + "loss/crossentropy": 1.9417335391044617, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.15629523247480392, + "step": 3946 + }, + { + "epoch": 0.6578333333333334, + "grad_norm": 23.125, + "grad_norm_var": 1.0427083333333333, + "learning_rate": 2.6234143758865638e-05, + "loss": 6.5249, + "loss/crossentropy": 1.982258290052414, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.14574036747217178, + "step": 3947 + }, + { + "epoch": 0.658, + "grad_norm": 22.5, + "grad_norm_var": 1.00625, + "learning_rate": 2.6211113526805253e-05, + "loss": 6.5036, + "loss/crossentropy": 1.757153570652008, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.1906978040933609, + "step": 3948 + }, + { + "epoch": 0.6581666666666667, + "grad_norm": 21.75, + "grad_norm_var": 0.8900390625, + "learning_rate": 2.618808981660304e-05, + "loss": 6.3505, + "loss/crossentropy": 1.6689270734786987, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.14559640549123287, + "step": 3949 + }, + { + "epoch": 0.6583333333333333, + "grad_norm": 21.75, + "grad_norm_var": 0.9155598958333333, + "learning_rate": 2.6165072634571054e-05, + "loss": 6.6601, + "loss/crossentropy": 1.972922444343567, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16046573966741562, + "step": 3950 + }, + { + "epoch": 0.6585, + "grad_norm": 22.375, + "grad_norm_var": 0.9014973958333333, + "learning_rate": 2.6142061987019577e-05, + "loss": 6.6781, + "loss/crossentropy": 1.6060060560703278, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.11408676020801067, + "step": 3951 + }, + { + "epoch": 0.6586666666666666, + "grad_norm": 21.75, + "grad_norm_var": 0.9434895833333333, + "learning_rate": 2.6119057880257125e-05, + "loss": 6.4496, + "loss/crossentropy": 1.581573098897934, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.15908992290496826, + "step": 3952 + }, + { + "epoch": 0.6588333333333334, + "grad_norm": 22.375, + "grad_norm_var": 0.9301432291666667, + "learning_rate": 2.6096060320590393e-05, + "loss": 6.6506, + "loss/crossentropy": 2.2456363141536713, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15701179578900337, + "step": 3953 + }, + { + "epoch": 0.659, + "grad_norm": 23.75, + "grad_norm_var": 1.0122395833333333, + "learning_rate": 2.6073069314324296e-05, + "loss": 6.8939, + "loss/crossentropy": 1.8222608268260956, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.15686685405671597, + "step": 3954 + }, + { + "epoch": 0.6591666666666667, + "grad_norm": 22.875, + "grad_norm_var": 0.7997395833333333, + "learning_rate": 2.6050084867761954e-05, + "loss": 6.6307, + "loss/crossentropy": 1.6674535274505615, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.235775388777256, + "step": 3955 + }, + { + "epoch": 0.6593333333333333, + "grad_norm": 21.625, + "grad_norm_var": 0.8184895833333333, + "learning_rate": 2.6027106987204676e-05, + "loss": 6.9074, + "loss/crossentropy": 2.018965035676956, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.19821299239993095, + "step": 3956 + }, + { + "epoch": 0.6595, + "grad_norm": 22.625, + "grad_norm_var": 0.7205729166666667, + "learning_rate": 2.600413567895198e-05, + "loss": 6.5969, + "loss/crossentropy": 1.56075119972229, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.19382958859205246, + "step": 3957 + }, + { + "epoch": 0.6596666666666666, + "grad_norm": 25.75, + "grad_norm_var": 1.4393229166666666, + "learning_rate": 2.598117094930158e-05, + "loss": 6.3676, + "loss/crossentropy": 1.8169102370738983, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.1698214504867792, + "step": 3958 + }, + { + "epoch": 0.6598333333333334, + "grad_norm": 23.125, + "grad_norm_var": 1.4572916666666667, + "learning_rate": 2.5958212804549387e-05, + "loss": 6.8082, + "loss/crossentropy": 1.8126718997955322, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.16526908427476883, + "step": 3959 + }, + { + "epoch": 0.66, + "grad_norm": 22.25, + "grad_norm_var": 1.340625, + "learning_rate": 2.5935261250989495e-05, + "loss": 6.3816, + "loss/crossentropy": 1.6855676472187042, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.15391650795936584, + "step": 3960 + }, + { + "epoch": 0.6601666666666667, + "grad_norm": 24.0, + "grad_norm_var": 1.340625, + "learning_rate": 2.591231629491423e-05, + "loss": 6.4436, + "loss/crossentropy": 1.9598024189472198, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15665984526276588, + "step": 3961 + }, + { + "epoch": 0.6603333333333333, + "grad_norm": 22.5, + "grad_norm_var": 1.1197265625, + "learning_rate": 2.588937794261407e-05, + "loss": 6.6394, + "loss/crossentropy": 2.0156719386577606, + "loss/hidden": 2.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.14534209296107292, + "step": 3962 + }, + { + "epoch": 0.6605, + "grad_norm": 21.75, + "grad_norm_var": 1.1705729166666667, + "learning_rate": 2.5866446200377688e-05, + "loss": 6.7707, + "loss/crossentropy": 1.8262441456317902, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1710485778748989, + "step": 3963 + }, + { + "epoch": 0.6606666666666666, + "grad_norm": 21.625, + "grad_norm_var": 1.2384765625, + "learning_rate": 2.5843521074491972e-05, + "loss": 6.4458, + "loss/crossentropy": 1.7395685613155365, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.14452773332595825, + "step": 3964 + }, + { + "epoch": 0.6608333333333334, + "grad_norm": 23.25, + "grad_norm_var": 1.2056640625, + "learning_rate": 2.5820602571241947e-05, + "loss": 6.6384, + "loss/crossentropy": 2.219172954559326, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.152513787150383, + "step": 3965 + }, + { + "epoch": 0.661, + "grad_norm": 22.375, + "grad_norm_var": 1.15, + "learning_rate": 2.5797690696910836e-05, + "loss": 6.7423, + "loss/crossentropy": 1.9725184440612793, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.1429651789367199, + "step": 3966 + }, + { + "epoch": 0.6611666666666667, + "grad_norm": 23.375, + "grad_norm_var": 1.1625, + "learning_rate": 2.5774785457780103e-05, + "loss": 6.8378, + "loss/crossentropy": 2.0107569992542267, + "loss/hidden": 2.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.15210989490151405, + "step": 3967 + }, + { + "epoch": 0.6613333333333333, + "grad_norm": 23.5, + "grad_norm_var": 1.1059895833333333, + "learning_rate": 2.575188686012934e-05, + "loss": 6.7314, + "loss/crossentropy": 1.9801947474479675, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.18664966896176338, + "step": 3968 + }, + { + "epoch": 0.6615, + "grad_norm": 22.0, + "grad_norm_var": 1.1421223958333333, + "learning_rate": 2.5728994910236304e-05, + "loss": 6.4606, + "loss/crossentropy": 1.7567331492900848, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15890497341752052, + "step": 3969 + }, + { + "epoch": 0.6616666666666666, + "grad_norm": 22.75, + "grad_norm_var": 1.0910807291666667, + "learning_rate": 2.5706109614376977e-05, + "loss": 6.6238, + "loss/crossentropy": 1.8398912847042084, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.16681640408933163, + "step": 3970 + }, + { + "epoch": 0.6618333333333334, + "grad_norm": 24.5, + "grad_norm_var": 1.2645833333333334, + "learning_rate": 2.5683230978825477e-05, + "loss": 6.6299, + "loss/crossentropy": 2.0251994729042053, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.1697697564959526, + "step": 3971 + }, + { + "epoch": 0.662, + "grad_norm": 23.375, + "grad_norm_var": 1.1497395833333333, + "learning_rate": 2.5660359009854107e-05, + "loss": 6.5392, + "loss/crossentropy": 1.9605745673179626, + "loss/hidden": 2.859375, + "loss/jsd": 0.0, + "loss/logits": 0.13946982100605965, + "step": 3972 + }, + { + "epoch": 0.6621666666666667, + "grad_norm": 22.75, + "grad_norm_var": 1.1436848958333334, + "learning_rate": 2.5637493713733374e-05, + "loss": 6.7329, + "loss/crossentropy": 1.8727829456329346, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.1707607191056013, + "step": 3973 + }, + { + "epoch": 0.6623333333333333, + "grad_norm": 22.375, + "grad_norm_var": 0.6427083333333333, + "learning_rate": 2.561463509673193e-05, + "loss": 6.5568, + "loss/crossentropy": 1.829066663980484, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1522997599095106, + "step": 3974 + }, + { + "epoch": 0.6625, + "grad_norm": 22.875, + "grad_norm_var": 0.6372395833333333, + "learning_rate": 2.5591783165116562e-05, + "loss": 6.7088, + "loss/crossentropy": 1.7449913322925568, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.20112887769937515, + "step": 3975 + }, + { + "epoch": 0.6626666666666666, + "grad_norm": 23.5, + "grad_norm_var": 0.6385416666666667, + "learning_rate": 2.556893792515227e-05, + "loss": 6.9455, + "loss/crossentropy": 2.2387621104717255, + "loss/hidden": 2.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.13959744200110435, + "step": 3976 + }, + { + "epoch": 0.6628333333333334, + "grad_norm": 23.125, + "grad_norm_var": 0.5587890625, + "learning_rate": 2.5546099383102207e-05, + "loss": 6.7697, + "loss/crossentropy": 2.120895355939865, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.14091678336262703, + "step": 3977 + }, + { + "epoch": 0.663, + "grad_norm": 23.75, + "grad_norm_var": 0.5978515625, + "learning_rate": 2.5523267545227664e-05, + "loss": 6.5, + "loss/crossentropy": 2.241948127746582, + "loss/hidden": 3.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.14619487151503563, + "step": 3978 + }, + { + "epoch": 0.6631666666666667, + "grad_norm": 23.875, + "grad_norm_var": 0.5458333333333333, + "learning_rate": 2.550044241778817e-05, + "loss": 6.8849, + "loss/crossentropy": 2.1252830922603607, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17620240524411201, + "step": 3979 + }, + { + "epoch": 0.6633333333333333, + "grad_norm": 23.5, + "grad_norm_var": 0.40618489583333334, + "learning_rate": 2.5477624007041335e-05, + "loss": 6.6502, + "loss/crossentropy": 2.009867638349533, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.18297292292118073, + "step": 3980 + }, + { + "epoch": 0.6635, + "grad_norm": 23.625, + "grad_norm_var": 0.41848958333333336, + "learning_rate": 2.545481231924296e-05, + "loss": 6.4614, + "loss/crossentropy": 1.5371489971876144, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.14078098349273205, + "step": 3981 + }, + { + "epoch": 0.6636666666666666, + "grad_norm": 26.875, + "grad_norm_var": 1.1872395833333333, + "learning_rate": 2.5432007360646997e-05, + "loss": 6.7878, + "loss/crossentropy": 1.84950552880764, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.15822383016347885, + "step": 3982 + }, + { + "epoch": 0.6638333333333334, + "grad_norm": 22.375, + "grad_norm_var": 1.2643229166666667, + "learning_rate": 2.5409209137505552e-05, + "loss": 6.6928, + "loss/crossentropy": 2.0023165345191956, + "loss/hidden": 3.12890625, + "loss/jsd": 0.0, + "loss/logits": 0.1500891875475645, + "step": 3983 + }, + { + "epoch": 0.664, + "grad_norm": 21.25, + "grad_norm_var": 1.5572916666666667, + "learning_rate": 2.5386417656068896e-05, + "loss": 6.6585, + "loss/crossentropy": 2.1192943453788757, + "loss/hidden": 2.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.14208374917507172, + "step": 3984 + }, + { + "epoch": 0.6641666666666667, + "grad_norm": 23.0, + "grad_norm_var": 1.4489583333333333, + "learning_rate": 2.536363292258543e-05, + "loss": 6.6988, + "loss/crossentropy": 1.9684445261955261, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.15452130883932114, + "step": 3985 + }, + { + "epoch": 0.6643333333333333, + "grad_norm": 22.625, + "grad_norm_var": 1.4598307291666666, + "learning_rate": 2.534085494330173e-05, + "loss": 6.8458, + "loss/crossentropy": 2.0752760767936707, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14868812635540962, + "step": 3986 + }, + { + "epoch": 0.6645, + "grad_norm": 22.75, + "grad_norm_var": 1.3796223958333333, + "learning_rate": 2.5318083724462493e-05, + "loss": 6.4414, + "loss/crossentropy": 2.03330060839653, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.1508273258805275, + "step": 3987 + }, + { + "epoch": 0.6646666666666666, + "grad_norm": 24.25, + "grad_norm_var": 1.4447916666666667, + "learning_rate": 2.5295319272310596e-05, + "loss": 6.8114, + "loss/crossentropy": 2.390753984451294, + "loss/hidden": 2.890625, + "loss/jsd": 0.0, + "loss/logits": 0.15698719769716263, + "step": 3988 + }, + { + "epoch": 0.6648333333333334, + "grad_norm": 24.625, + "grad_norm_var": 1.5317057291666667, + "learning_rate": 2.527256159308703e-05, + "loss": 6.5676, + "loss/crossentropy": 1.820176750421524, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.14299648441374302, + "step": 3989 + }, + { + "epoch": 0.665, + "grad_norm": 21.75, + "grad_norm_var": 1.64140625, + "learning_rate": 2.524981069303093e-05, + "loss": 6.336, + "loss/crossentropy": 1.3508480489253998, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15435393527150154, + "step": 3990 + }, + { + "epoch": 0.6651666666666667, + "grad_norm": 21.875, + "grad_norm_var": 1.7684895833333334, + "learning_rate": 2.522706657837962e-05, + "loss": 6.8348, + "loss/crossentropy": 2.248761773109436, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.16485200263559818, + "step": 3991 + }, + { + "epoch": 0.6653333333333333, + "grad_norm": 23.75, + "grad_norm_var": 1.7791666666666666, + "learning_rate": 2.520432925536851e-05, + "loss": 6.5469, + "loss/crossentropy": 1.8582322895526886, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.14247781410813332, + "step": 3992 + }, + { + "epoch": 0.6655, + "grad_norm": 23.0, + "grad_norm_var": 1.7832682291666666, + "learning_rate": 2.518159873023116e-05, + "loss": 6.579, + "loss/crossentropy": 1.6259247064590454, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.16432756558060646, + "step": 3993 + }, + { + "epoch": 0.6656666666666666, + "grad_norm": 22.625, + "grad_norm_var": 1.7955729166666667, + "learning_rate": 2.5158875009199278e-05, + "loss": 6.7117, + "loss/crossentropy": 2.2505098283290863, + "loss/hidden": 3.046875, + "loss/jsd": 0.0, + "loss/logits": 0.18077324330806732, + "step": 3994 + }, + { + "epoch": 0.6658333333333334, + "grad_norm": 23.625, + "grad_norm_var": 1.778125, + "learning_rate": 2.5136158098502698e-05, + "loss": 6.7334, + "loss/crossentropy": 2.219034418463707, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.14519840478897095, + "step": 3995 + }, + { + "epoch": 0.666, + "grad_norm": 23.25, + "grad_norm_var": 1.77265625, + "learning_rate": 2.5113448004369393e-05, + "loss": 6.7285, + "loss/crossentropy": 1.986040323972702, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.1569310612976551, + "step": 3996 + }, + { + "epoch": 0.6661666666666667, + "grad_norm": 24.75, + "grad_norm_var": 1.9150390625, + "learning_rate": 2.509074473302546e-05, + "loss": 6.5243, + "loss/crossentropy": 1.8219779431819916, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.1560850441455841, + "step": 3997 + }, + { + "epoch": 0.6663333333333333, + "grad_norm": 24.0, + "grad_norm_var": 1.0510416666666667, + "learning_rate": 2.506804829069514e-05, + "loss": 6.6153, + "loss/crossentropy": 1.4910911917686462, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.13240336999297142, + "step": 3998 + }, + { + "epoch": 0.6665, + "grad_norm": 21.0, + "grad_norm_var": 1.3009765625, + "learning_rate": 2.5045358683600777e-05, + "loss": 6.369, + "loss/crossentropy": 1.7807666063308716, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.12851744517683983, + "step": 3999 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 22.5, + "grad_norm_var": 1.1056640625, + "learning_rate": 2.5022675917962868e-05, + "loss": 6.8795, + "loss/crossentropy": 1.5345230102539062, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17620780691504478, + "step": 4000 + } + ], + "logging_steps": 1, + "max_steps": 6000, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 2000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1.1430039698538496e+19, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}