diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,24019 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.3333333333333333, + "eval_steps": 2000, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.00016666666666666666, + "grad_norm": 43.25, + "learning_rate": 0.0001, + "loss": 7.897, + "loss/crossentropy": 1.8981975317001343, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.2279614694416523, + "step": 1 + }, + { + "epoch": 0.0003333333333333333, + "grad_norm": 42.25, + "learning_rate": 9.999999314610822e-05, + "loss": 7.7785, + "loss/crossentropy": 1.6111224591732025, + "loss/hidden": 3.9296875, + "loss/jsd": 0.0, + "loss/logits": 0.332294587045908, + "step": 2 + }, + { + "epoch": 0.0005, + "grad_norm": 36.0, + "learning_rate": 9.999997258443473e-05, + "loss": 7.8681, + "loss/crossentropy": 1.038797065615654, + "loss/hidden": 4.09375, + "loss/jsd": 0.0, + "loss/logits": 0.20423871837556362, + "step": 3 + }, + { + "epoch": 0.0006666666666666666, + "grad_norm": 35.0, + "learning_rate": 9.999993831498517e-05, + "loss": 7.5829, + "loss/crossentropy": 1.2436729669570923, + "loss/hidden": 4.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.19205103814601898, + "step": 4 + }, + { + "epoch": 0.0008333333333333334, + "grad_norm": 36.0, + "learning_rate": 9.999989033776898e-05, + "loss": 7.6967, + "loss/crossentropy": 1.8320814073085785, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.22012443095445633, + "step": 5 + }, + { + "epoch": 0.001, + "grad_norm": 34.5, + "learning_rate": 9.999982865279924e-05, + "loss": 7.6994, + "loss/crossentropy": 2.6133211851119995, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.18267794325947762, + "step": 6 + }, + { + "epoch": 0.0011666666666666668, + "grad_norm": 40.5, + "learning_rate": 9.999975326009292e-05, + "loss": 8.0194, + "loss/crossentropy": 1.7613287270069122, + "loss/hidden": 4.171875, + "loss/jsd": 0.0, + "loss/logits": 0.28519386798143387, + "step": 7 + }, + { + "epoch": 0.0013333333333333333, + "grad_norm": 35.25, + "learning_rate": 9.999966415967066e-05, + "loss": 7.8227, + "loss/crossentropy": 2.1208671629428864, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.20836012810468674, + "step": 8 + }, + { + "epoch": 0.0015, + "grad_norm": 34.25, + "learning_rate": 9.999956135155687e-05, + "loss": 7.8838, + "loss/crossentropy": 1.7976483404636383, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.18757568299770355, + "step": 9 + }, + { + "epoch": 0.0016666666666666668, + "grad_norm": 34.75, + "learning_rate": 9.999944483577981e-05, + "loss": 7.9165, + "loss/crossentropy": 1.3925501853227615, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.1962764672935009, + "step": 10 + }, + { + "epoch": 0.0018333333333333333, + "grad_norm": 32.5, + "learning_rate": 9.999931461237134e-05, + "loss": 7.9337, + "loss/crossentropy": 1.7288123071193695, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.22744527459144592, + "step": 11 + }, + { + "epoch": 0.002, + "grad_norm": 33.5, + "learning_rate": 9.999917068136722e-05, + "loss": 7.5202, + "loss/crossentropy": 1.494637444615364, + "loss/hidden": 4.015625, + "loss/jsd": 0.0, + "loss/logits": 0.2517388202250004, + "step": 12 + }, + { + "epoch": 0.0021666666666666666, + "grad_norm": 34.5, + "learning_rate": 9.999901304280685e-05, + "loss": 7.4411, + "loss/crossentropy": 1.8212255239486694, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.15588481724262238, + "step": 13 + }, + { + "epoch": 0.0023333333333333335, + "grad_norm": 33.25, + "learning_rate": 9.999884169673351e-05, + "loss": 7.4569, + "loss/crossentropy": 1.6355410516262054, + "loss/hidden": 4.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.22944416105747223, + "step": 14 + }, + { + "epoch": 0.0025, + "grad_norm": 34.75, + "learning_rate": 9.999865664319414e-05, + "loss": 7.9158, + "loss/crossentropy": 1.8614172041416168, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.25939401239156723, + "step": 15 + }, + { + "epoch": 0.0026666666666666666, + "grad_norm": 32.5, + "grad_norm_var": 10.78515625, + "learning_rate": 9.999845788223949e-05, + "loss": 7.7363, + "loss/crossentropy": 2.09798863530159, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.22896145656704903, + "step": 16 + }, + { + "epoch": 0.0028333333333333335, + "grad_norm": 32.5, + "grad_norm_var": 7.325, + "learning_rate": 9.999824541392405e-05, + "loss": 7.6403, + "loss/crossentropy": 1.6914259791374207, + "loss/hidden": 4.1875, + "loss/jsd": 0.0, + "loss/logits": 0.33019889891147614, + "step": 17 + }, + { + "epoch": 0.003, + "grad_norm": 31.0, + "grad_norm_var": 4.54765625, + "learning_rate": 9.999801923830603e-05, + "loss": 7.5091, + "loss/crossentropy": 1.7090625166893005, + "loss/hidden": 3.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.25124871358275414, + "step": 18 + }, + { + "epoch": 0.0031666666666666666, + "grad_norm": 29.875, + "grad_norm_var": 5.603580729166667, + "learning_rate": 9.99977793554475e-05, + "loss": 7.5787, + "loss/crossentropy": 1.4764716178178787, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.20044904574751854, + "step": 19 + }, + { + "epoch": 0.0033333333333333335, + "grad_norm": 36.25, + "grad_norm_var": 5.861393229166667, + "learning_rate": 9.999752576541418e-05, + "loss": 7.7661, + "loss/crossentropy": 1.8880396485328674, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.2577027827501297, + "step": 20 + }, + { + "epoch": 0.0035, + "grad_norm": 35.25, + "grad_norm_var": 5.708268229166666, + "learning_rate": 9.999725846827562e-05, + "loss": 7.8717, + "loss/crossentropy": 1.2173301130533218, + "loss/hidden": 3.921875, + "loss/jsd": 0.0, + "loss/logits": 0.23028925992548466, + "step": 21 + }, + { + "epoch": 0.0036666666666666666, + "grad_norm": 32.0, + "grad_norm_var": 5.9556640625, + "learning_rate": 9.999697746410508e-05, + "loss": 7.3192, + "loss/crossentropy": 1.9408041834831238, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.17967402562499046, + "step": 22 + }, + { + "epoch": 0.003833333333333333, + "grad_norm": 37.0, + "grad_norm_var": 3.6478515625, + "learning_rate": 9.99966827529796e-05, + "loss": 7.7772, + "loss/crossentropy": 1.696288287639618, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.2100219465792179, + "step": 23 + }, + { + "epoch": 0.004, + "grad_norm": 34.0, + "grad_norm_var": 3.4863932291666666, + "learning_rate": 9.999637433497999e-05, + "loss": 7.7023, + "loss/crossentropy": 1.5910453498363495, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.17898119986057281, + "step": 24 + }, + { + "epoch": 0.004166666666666667, + "grad_norm": 31.625, + "grad_norm_var": 3.695572916666667, + "learning_rate": 9.999605221019081e-05, + "loss": 7.3402, + "loss/crossentropy": 1.7376164197921753, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18538454920053482, + "step": 25 + }, + { + "epoch": 0.004333333333333333, + "grad_norm": 34.5, + "grad_norm_var": 3.65625, + "learning_rate": 9.999571637870036e-05, + "loss": 7.5857, + "loss/crossentropy": 1.3886851519346237, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.1782984510064125, + "step": 26 + }, + { + "epoch": 0.0045, + "grad_norm": 33.5, + "grad_norm_var": 3.59375, + "learning_rate": 9.99953668406007e-05, + "loss": 7.6528, + "loss/crossentropy": 2.2225378453731537, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.19338875636458397, + "step": 27 + }, + { + "epoch": 0.004666666666666667, + "grad_norm": 34.5, + "grad_norm_var": 3.65625, + "learning_rate": 9.999500359598768e-05, + "loss": 7.7959, + "loss/crossentropy": 1.7327675968408585, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.21430451981723309, + "step": 28 + }, + { + "epoch": 0.004833333333333334, + "grad_norm": 33.75, + "grad_norm_var": 3.59765625, + "learning_rate": 9.999462664496088e-05, + "loss": 7.6499, + "loss/crossentropy": 1.8107008635997772, + "loss/hidden": 4.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.28763537108898163, + "step": 29 + }, + { + "epoch": 0.005, + "grad_norm": 33.0, + "grad_norm_var": 3.6104166666666666, + "learning_rate": 9.999423598762363e-05, + "loss": 7.6058, + "loss/crossentropy": 1.9658692479133606, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.2879307046532631, + "step": 30 + }, + { + "epoch": 0.005166666666666667, + "grad_norm": 34.25, + "grad_norm_var": 3.542708333333333, + "learning_rate": 9.999383162408304e-05, + "loss": 7.4496, + "loss/crossentropy": 1.8217417299747467, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.19359543919563293, + "step": 31 + }, + { + "epoch": 0.005333333333333333, + "grad_norm": 32.5, + "grad_norm_var": 3.542708333333333, + "learning_rate": 9.999341355444995e-05, + "loss": 7.6384, + "loss/crossentropy": 2.139420449733734, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1821003034710884, + "step": 32 + }, + { + "epoch": 0.0055, + "grad_norm": 34.5, + "grad_norm_var": 3.534375, + "learning_rate": 9.999298177883903e-05, + "loss": 7.8442, + "loss/crossentropy": 1.346135452389717, + "loss/hidden": 3.921875, + "loss/jsd": 0.0, + "loss/logits": 0.2800942696630955, + "step": 33 + }, + { + "epoch": 0.005666666666666667, + "grad_norm": 33.0, + "grad_norm_var": 3.0927083333333334, + "learning_rate": 9.99925362973686e-05, + "loss": 7.5856, + "loss/crossentropy": 1.7728485763072968, + "loss/hidden": 4.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.27092037349939346, + "step": 34 + }, + { + "epoch": 0.005833333333333334, + "grad_norm": 33.25, + "grad_norm_var": 2.074934895833333, + "learning_rate": 9.999207711016081e-05, + "loss": 8.1591, + "loss/crossentropy": 2.1373378336429596, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.28596626967191696, + "step": 35 + }, + { + "epoch": 0.006, + "grad_norm": 36.5, + "grad_norm_var": 2.1561848958333334, + "learning_rate": 9.999160421734155e-05, + "loss": 7.711, + "loss/crossentropy": 1.7681190073490143, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.18538705632090569, + "step": 36 + }, + { + "epoch": 0.006166666666666667, + "grad_norm": 35.25, + "grad_norm_var": 2.1561848958333334, + "learning_rate": 9.999111761904046e-05, + "loss": 7.6903, + "loss/crossentropy": 1.7745196521282196, + "loss/hidden": 4.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.4391864165663719, + "step": 37 + }, + { + "epoch": 0.006333333333333333, + "grad_norm": 32.25, + "grad_norm_var": 2.0952473958333333, + "learning_rate": 9.999061731539094e-05, + "loss": 7.5037, + "loss/crossentropy": 1.6296418905258179, + "loss/hidden": 3.875, + "loss/jsd": 0.0, + "loss/logits": 0.22025315463542938, + "step": 38 + }, + { + "epoch": 0.0065, + "grad_norm": 34.75, + "grad_norm_var": 1.4999348958333334, + "learning_rate": 9.999010330653018e-05, + "loss": 7.8698, + "loss/crossentropy": 1.5856382250785828, + "loss/hidden": 3.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.2322024367749691, + "step": 39 + }, + { + "epoch": 0.006666666666666667, + "grad_norm": 35.25, + "grad_norm_var": 1.6275390625, + "learning_rate": 9.998957559259906e-05, + "loss": 7.7027, + "loss/crossentropy": 1.5911406129598618, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.2131226249039173, + "step": 40 + }, + { + "epoch": 0.006833333333333334, + "grad_norm": 31.625, + "grad_norm_var": 1.6275390625, + "learning_rate": 9.998903417374228e-05, + "loss": 7.8013, + "loss/crossentropy": 2.2657040655612946, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.17953365668654442, + "step": 41 + }, + { + "epoch": 0.007, + "grad_norm": 34.25, + "grad_norm_var": 1.6113932291666666, + "learning_rate": 9.998847905010826e-05, + "loss": 7.4123, + "loss/crossentropy": 1.5879982709884644, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.19292457774281502, + "step": 42 + }, + { + "epoch": 0.007166666666666667, + "grad_norm": 35.0, + "grad_norm_var": 1.6754557291666667, + "learning_rate": 9.998791022184922e-05, + "loss": 7.5851, + "loss/crossentropy": 1.9873057901859283, + "loss/hidden": 3.87890625, + "loss/jsd": 0.0, + "loss/logits": 0.2376515343785286, + "step": 43 + }, + { + "epoch": 0.007333333333333333, + "grad_norm": 33.0, + "grad_norm_var": 1.7113932291666667, + "learning_rate": 9.998732768912104e-05, + "loss": 7.2571, + "loss/crossentropy": 1.7832402884960175, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.17459676414728165, + "step": 44 + }, + { + "epoch": 0.0075, + "grad_norm": 33.5, + "grad_norm_var": 1.7197265625, + "learning_rate": 9.99867314520835e-05, + "loss": 7.3922, + "loss/crossentropy": 2.2741356790065765, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1955919899046421, + "step": 45 + }, + { + "epoch": 0.007666666666666666, + "grad_norm": 31.125, + "grad_norm_var": 2.15625, + "learning_rate": 9.998612151090003e-05, + "loss": 7.2748, + "loss/crossentropy": 1.3483582437038422, + "loss/hidden": 3.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.2215445153415203, + "step": 46 + }, + { + "epoch": 0.007833333333333333, + "grad_norm": 30.375, + "grad_norm_var": 2.8363932291666667, + "learning_rate": 9.998549786573785e-05, + "loss": 7.3114, + "loss/crossentropy": 1.8974584341049194, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.1681991945952177, + "step": 47 + }, + { + "epoch": 0.008, + "grad_norm": 33.25, + "grad_norm_var": 2.770768229166667, + "learning_rate": 9.998486051676792e-05, + "loss": 7.3338, + "loss/crossentropy": 1.4651325196027756, + "loss/hidden": 3.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.21610706113278866, + "step": 48 + }, + { + "epoch": 0.008166666666666666, + "grad_norm": 32.5, + "grad_norm_var": 2.768684895833333, + "learning_rate": 9.9984209464165e-05, + "loss": 7.5725, + "loss/crossentropy": 1.9949549734592438, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.15607954934239388, + "step": 49 + }, + { + "epoch": 0.008333333333333333, + "grad_norm": 31.75, + "grad_norm_var": 2.9379557291666667, + "learning_rate": 9.998354470810757e-05, + "loss": 7.2875, + "loss/crossentropy": 1.897917628288269, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.19233481213450432, + "step": 50 + }, + { + "epoch": 0.0085, + "grad_norm": 33.25, + "grad_norm_var": 2.9379557291666667, + "learning_rate": 9.998286624877786e-05, + "loss": 7.9821, + "loss/crossentropy": 2.4633734226226807, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.201544351875782, + "step": 51 + }, + { + "epoch": 0.008666666666666666, + "grad_norm": 31.25, + "grad_norm_var": 2.4567057291666665, + "learning_rate": 9.99821740863619e-05, + "loss": 7.7769, + "loss/crossentropy": 1.9304746389389038, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.2369798980653286, + "step": 52 + }, + { + "epoch": 0.008833333333333334, + "grad_norm": 34.0, + "grad_norm_var": 2.1832682291666665, + "learning_rate": 9.998146822104943e-05, + "loss": 7.3161, + "loss/crossentropy": 1.5423674881458282, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.24242010712623596, + "step": 53 + }, + { + "epoch": 0.009, + "grad_norm": 33.75, + "grad_norm_var": 2.184830729166667, + "learning_rate": 9.998074865303399e-05, + "loss": 7.7667, + "loss/crossentropy": 1.9618560820817947, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.15662527084350586, + "step": 54 + }, + { + "epoch": 0.009166666666666667, + "grad_norm": 31.375, + "grad_norm_var": 2.126822916666667, + "learning_rate": 9.998001538251282e-05, + "loss": 7.3556, + "loss/crossentropy": 2.1333842277526855, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.19949736073613167, + "step": 55 + }, + { + "epoch": 0.009333333333333334, + "grad_norm": 30.0, + "grad_norm_var": 2.154166666666667, + "learning_rate": 9.997926840968699e-05, + "loss": 7.3285, + "loss/crossentropy": 1.6652204990386963, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.18719187378883362, + "step": 56 + }, + { + "epoch": 0.0095, + "grad_norm": 33.5, + "grad_norm_var": 2.155143229166667, + "learning_rate": 9.997850773476126e-05, + "loss": 7.1769, + "loss/crossentropy": 1.5638276934623718, + "loss/hidden": 3.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.20844870433211327, + "step": 57 + }, + { + "epoch": 0.009666666666666667, + "grad_norm": 34.0, + "grad_norm_var": 2.104622395833333, + "learning_rate": 9.997773335794416e-05, + "loss": 7.5886, + "loss/crossentropy": 1.6454956978559494, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.2049052193760872, + "step": 58 + }, + { + "epoch": 0.009833333333333333, + "grad_norm": 31.375, + "grad_norm_var": 1.7666666666666666, + "learning_rate": 9.997694527944803e-05, + "loss": 7.3413, + "loss/crossentropy": 1.7107558101415634, + "loss/hidden": 4.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1903497278690338, + "step": 59 + }, + { + "epoch": 0.01, + "grad_norm": 33.25, + "grad_norm_var": 1.79140625, + "learning_rate": 9.99761434994889e-05, + "loss": 7.5478, + "loss/crossentropy": 1.7333263158798218, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.15633369609713554, + "step": 60 + }, + { + "epoch": 0.010166666666666666, + "grad_norm": 32.0, + "grad_norm_var": 1.71015625, + "learning_rate": 9.997532801828658e-05, + "loss": 7.8502, + "loss/crossentropy": 1.5546621978282928, + "loss/hidden": 4.078125, + "loss/jsd": 0.0, + "loss/logits": 0.29293418303132057, + "step": 61 + }, + { + "epoch": 0.010333333333333333, + "grad_norm": 33.25, + "grad_norm_var": 1.6603515625, + "learning_rate": 9.997449883606466e-05, + "loss": 7.699, + "loss/crossentropy": 1.9417144358158112, + "loss/hidden": 4.078125, + "loss/jsd": 0.0, + "loss/logits": 0.33094572275877, + "step": 62 + }, + { + "epoch": 0.0105, + "grad_norm": 30.5, + "grad_norm_var": 1.6270833333333334, + "learning_rate": 9.997365595305044e-05, + "loss": 7.655, + "loss/crossentropy": 1.8994901180267334, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.19589544087648392, + "step": 63 + }, + { + "epoch": 0.010666666666666666, + "grad_norm": 32.75, + "grad_norm_var": 1.5885416666666667, + "learning_rate": 9.997279936947502e-05, + "loss": 7.9396, + "loss/crossentropy": 1.4546025916934013, + "loss/hidden": 3.95703125, + "loss/jsd": 0.0, + "loss/logits": 0.2566604632884264, + "step": 64 + }, + { + "epoch": 0.010833333333333334, + "grad_norm": 31.875, + "grad_norm_var": 1.6051432291666667, + "learning_rate": 9.997192908557323e-05, + "loss": 7.5829, + "loss/crossentropy": 1.7165934145450592, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.3070928454399109, + "step": 65 + }, + { + "epoch": 0.011, + "grad_norm": 32.5, + "grad_norm_var": 1.5785807291666667, + "learning_rate": 9.997104510158365e-05, + "loss": 7.832, + "loss/crossentropy": 1.4161300361156464, + "loss/hidden": 4.234375, + "loss/jsd": 0.0, + "loss/logits": 0.2050262913107872, + "step": 66 + }, + { + "epoch": 0.011166666666666667, + "grad_norm": 32.25, + "grad_norm_var": 1.5296223958333333, + "learning_rate": 9.997014741774866e-05, + "loss": 7.3665, + "loss/crossentropy": 1.6561641842126846, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.13321572355926037, + "step": 67 + }, + { + "epoch": 0.011333333333333334, + "grad_norm": 32.0, + "grad_norm_var": 1.4546223958333333, + "learning_rate": 9.996923603431433e-05, + "loss": 7.3003, + "loss/crossentropy": 1.888094425201416, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.15798387117683887, + "step": 68 + }, + { + "epoch": 0.0115, + "grad_norm": 33.5, + "grad_norm_var": 1.3634765625, + "learning_rate": 9.996831095153055e-05, + "loss": 7.5084, + "loss/crossentropy": 1.8267690539360046, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.13853692263364792, + "step": 69 + }, + { + "epoch": 0.011666666666666667, + "grad_norm": 31.5, + "grad_norm_var": 1.2650390625, + "learning_rate": 9.996737216965092e-05, + "loss": 7.5366, + "loss/crossentropy": 1.8325877487659454, + "loss/hidden": 3.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.24080873653292656, + "step": 70 + }, + { + "epoch": 0.011833333333333333, + "grad_norm": 34.0, + "grad_norm_var": 1.39765625, + "learning_rate": 9.996641968893282e-05, + "loss": 7.563, + "loss/crossentropy": 2.386824905872345, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.20230185240507126, + "step": 71 + }, + { + "epoch": 0.012, + "grad_norm": 32.0, + "grad_norm_var": 1.01015625, + "learning_rate": 9.996545350963738e-05, + "loss": 7.9256, + "loss/crossentropy": 1.899581179022789, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.17962408438324928, + "step": 72 + }, + { + "epoch": 0.012166666666666666, + "grad_norm": 32.75, + "grad_norm_var": 0.946875, + "learning_rate": 9.996447363202946e-05, + "loss": 7.4534, + "loss/crossentropy": 1.597171574831009, + "loss/hidden": 3.7421875, + "loss/jsd": 0.0, + "loss/logits": 0.22687402367591858, + "step": 73 + }, + { + "epoch": 0.012333333333333333, + "grad_norm": 33.75, + "grad_norm_var": 0.8997395833333334, + "learning_rate": 9.996348005637775e-05, + "loss": 7.5359, + "loss/crossentropy": 1.8461322486400604, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.18764278665184975, + "step": 74 + }, + { + "epoch": 0.0125, + "grad_norm": 32.5, + "grad_norm_var": 0.8171223958333333, + "learning_rate": 9.996247278295458e-05, + "loss": 7.8896, + "loss/crossentropy": 1.44264367967844, + "loss/hidden": 4.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.44364645332098007, + "step": 75 + }, + { + "epoch": 0.012666666666666666, + "grad_norm": 31.625, + "grad_norm_var": 0.8247395833333333, + "learning_rate": 9.996145181203615e-05, + "loss": 7.2413, + "loss/crossentropy": 1.9038055539131165, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.2209215946495533, + "step": 76 + }, + { + "epoch": 0.012833333333333334, + "grad_norm": 30.625, + "grad_norm_var": 1.0202473958333333, + "learning_rate": 9.996041714390235e-05, + "loss": 7.6161, + "loss/crossentropy": 1.6209959387779236, + "loss/hidden": 4.03125, + "loss/jsd": 0.0, + "loss/logits": 0.21705806627869606, + "step": 77 + }, + { + "epoch": 0.013, + "grad_norm": 31.875, + "grad_norm_var": 0.9708333333333333, + "learning_rate": 9.995936877883682e-05, + "loss": 7.5658, + "loss/crossentropy": 2.0096256136894226, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.1687867697328329, + "step": 78 + }, + { + "epoch": 0.013166666666666667, + "grad_norm": 32.25, + "grad_norm_var": 0.75390625, + "learning_rate": 9.9958306717127e-05, + "loss": 7.5281, + "loss/crossentropy": 1.5593473613262177, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.18466703221201897, + "step": 79 + }, + { + "epoch": 0.013333333333333334, + "grad_norm": 32.5, + "grad_norm_var": 0.7447916666666666, + "learning_rate": 9.995723095906407e-05, + "loss": 7.3577, + "loss/crossentropy": 1.8190798908472061, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.17776387929916382, + "step": 80 + }, + { + "epoch": 0.0135, + "grad_norm": 28.5, + "grad_norm_var": 1.6676432291666667, + "learning_rate": 9.995614150494293e-05, + "loss": 7.3202, + "loss/crossentropy": 1.827375441789627, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.16521281003952026, + "step": 81 + }, + { + "epoch": 0.013666666666666667, + "grad_norm": 32.25, + "grad_norm_var": 1.6593098958333334, + "learning_rate": 9.995503835506226e-05, + "loss": 7.5337, + "loss/crossentropy": 1.511421576142311, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.18143922463059425, + "step": 82 + }, + { + "epoch": 0.013833333333333333, + "grad_norm": 33.0, + "grad_norm_var": 1.7077473958333333, + "learning_rate": 9.995392150972451e-05, + "loss": 7.6254, + "loss/crossentropy": 1.9109731316566467, + "loss/hidden": 4.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.21341488882899284, + "step": 83 + }, + { + "epoch": 0.014, + "grad_norm": 31.625, + "grad_norm_var": 1.7247395833333334, + "learning_rate": 9.995279096923585e-05, + "loss": 7.4453, + "loss/crossentropy": 2.3015710711479187, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.21305473893880844, + "step": 84 + }, + { + "epoch": 0.014166666666666666, + "grad_norm": 33.75, + "grad_norm_var": 1.7739583333333333, + "learning_rate": 9.995164673390625e-05, + "loss": 7.5234, + "loss/crossentropy": 2.2502674758434296, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.2330060638487339, + "step": 85 + }, + { + "epoch": 0.014333333333333333, + "grad_norm": 30.5, + "grad_norm_var": 1.9239583333333334, + "learning_rate": 9.995048880404938e-05, + "loss": 7.4712, + "loss/crossentropy": 1.7803797721862793, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.21768440306186676, + "step": 86 + }, + { + "epoch": 0.0145, + "grad_norm": 33.0, + "grad_norm_var": 1.7322916666666666, + "learning_rate": 9.994931717998272e-05, + "loss": 7.5616, + "loss/crossentropy": 1.902416467666626, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.2145845927298069, + "step": 87 + }, + { + "epoch": 0.014666666666666666, + "grad_norm": 32.25, + "grad_norm_var": 1.73515625, + "learning_rate": 9.994813186202747e-05, + "loss": 7.5587, + "loss/crossentropy": 1.828644409775734, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.22059463895857334, + "step": 88 + }, + { + "epoch": 0.014833333333333334, + "grad_norm": 33.25, + "grad_norm_var": 1.79765625, + "learning_rate": 9.994693285050857e-05, + "loss": 7.1863, + "loss/crossentropy": 1.3599056899547577, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.15615848824381828, + "step": 89 + }, + { + "epoch": 0.015, + "grad_norm": 30.75, + "grad_norm_var": 1.69140625, + "learning_rate": 9.994572014575476e-05, + "loss": 8.0386, + "loss/crossentropy": 2.1659975349903107, + "loss/hidden": 3.6875, + "loss/jsd": 0.0, + "loss/logits": 0.2879357635974884, + "step": 90 + }, + { + "epoch": 0.015166666666666667, + "grad_norm": 34.0, + "grad_norm_var": 1.95390625, + "learning_rate": 9.994449374809851e-05, + "loss": 7.5539, + "loss/crossentropy": 1.7670844793319702, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.21495118737220764, + "step": 91 + }, + { + "epoch": 0.015333333333333332, + "grad_norm": 35.0, + "grad_norm_var": 2.5041015625, + "learning_rate": 9.994325365787602e-05, + "loss": 7.8947, + "loss/crossentropy": 1.9785922467708588, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.19296985119581223, + "step": 92 + }, + { + "epoch": 0.0155, + "grad_norm": 31.75, + "grad_norm_var": 2.34765625, + "learning_rate": 9.99419998754273e-05, + "loss": 7.5811, + "loss/crossentropy": 2.220028728246689, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.1642632707953453, + "step": 93 + }, + { + "epoch": 0.015666666666666666, + "grad_norm": 32.0, + "grad_norm_var": 2.3421223958333335, + "learning_rate": 9.994073240109606e-05, + "loss": 7.2548, + "loss/crossentropy": 1.7792484760284424, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.19576582685112953, + "step": 94 + }, + { + "epoch": 0.015833333333333335, + "grad_norm": 33.25, + "grad_norm_var": 2.401497395833333, + "learning_rate": 9.993945123522978e-05, + "loss": 7.9, + "loss/crossentropy": 1.4793440699577332, + "loss/hidden": 3.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.24769844487309456, + "step": 95 + }, + { + "epoch": 0.016, + "grad_norm": 31.75, + "grad_norm_var": 2.4202473958333335, + "learning_rate": 9.993815637817974e-05, + "loss": 7.381, + "loss/crossentropy": 1.5669107139110565, + "loss/hidden": 3.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.2881624363362789, + "step": 96 + }, + { + "epoch": 0.016166666666666666, + "grad_norm": 35.25, + "grad_norm_var": 1.8577473958333333, + "learning_rate": 9.993684783030088e-05, + "loss": 7.6191, + "loss/crossentropy": 1.7162407040596008, + "loss/hidden": 3.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.23535295203328133, + "step": 97 + }, + { + "epoch": 0.01633333333333333, + "grad_norm": 35.5, + "grad_norm_var": 2.3181640625, + "learning_rate": 9.993552559195197e-05, + "loss": 7.6683, + "loss/crossentropy": 1.6846329420804977, + "loss/hidden": 3.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.30070426501333714, + "step": 98 + }, + { + "epoch": 0.0165, + "grad_norm": 33.0, + "grad_norm_var": 2.3181640625, + "learning_rate": 9.993418966349552e-05, + "loss": 7.5142, + "loss/crossentropy": 1.3872482031583786, + "loss/hidden": 4.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.20113259553909302, + "step": 99 + }, + { + "epoch": 0.016666666666666666, + "grad_norm": 29.875, + "grad_norm_var": 2.8103515625, + "learning_rate": 9.993284004529775e-05, + "loss": 7.3211, + "loss/crossentropy": 1.6917027533054352, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.15302151814103127, + "step": 100 + }, + { + "epoch": 0.016833333333333332, + "grad_norm": 30.75, + "grad_norm_var": 2.9947265625, + "learning_rate": 9.99314767377287e-05, + "loss": 7.4487, + "loss/crossentropy": 2.0142119228839874, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.2277221530675888, + "step": 101 + }, + { + "epoch": 0.017, + "grad_norm": 32.0, + "grad_norm_var": 2.7119140625, + "learning_rate": 9.993009974116211e-05, + "loss": 7.2728, + "loss/crossentropy": 2.0172336399555206, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.15139513090252876, + "step": 102 + }, + { + "epoch": 0.017166666666666667, + "grad_norm": 33.0, + "grad_norm_var": 2.7119140625, + "learning_rate": 9.992870905597548e-05, + "loss": 7.473, + "loss/crossentropy": 1.7352718710899353, + "loss/hidden": 3.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.2756512500345707, + "step": 103 + }, + { + "epoch": 0.017333333333333333, + "grad_norm": 31.5, + "grad_norm_var": 2.7931640625, + "learning_rate": 9.992730468255011e-05, + "loss": 7.3698, + "loss/crossentropy": 1.532135546207428, + "loss/hidden": 3.72265625, + "loss/jsd": 0.0, + "loss/logits": 0.1990617997944355, + "step": 104 + }, + { + "epoch": 0.0175, + "grad_norm": 32.25, + "grad_norm_var": 2.7775390625, + "learning_rate": 9.9925886621271e-05, + "loss": 7.4661, + "loss/crossentropy": 2.0795831382274628, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.19490709155797958, + "step": 105 + }, + { + "epoch": 0.017666666666666667, + "grad_norm": 31.125, + "grad_norm_var": 2.69375, + "learning_rate": 9.992445487252691e-05, + "loss": 7.528, + "loss/crossentropy": 1.4112937152385712, + "loss/hidden": 4.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.22824537754058838, + "step": 106 + }, + { + "epoch": 0.017833333333333333, + "grad_norm": 33.5, + "grad_norm_var": 2.6177083333333333, + "learning_rate": 9.992300943671036e-05, + "loss": 7.7207, + "loss/crossentropy": 2.027792990207672, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.22932051867246628, + "step": 107 + }, + { + "epoch": 0.018, + "grad_norm": 31.0, + "grad_norm_var": 2.334375, + "learning_rate": 9.992155031421764e-05, + "loss": 7.5793, + "loss/crossentropy": 1.7205888107419014, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.1724705696105957, + "step": 108 + }, + { + "epoch": 0.018166666666666668, + "grad_norm": 33.5, + "grad_norm_var": 2.3872395833333333, + "learning_rate": 9.992007750544876e-05, + "loss": 8.0001, + "loss/crossentropy": 1.776763528585434, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.17769636027514935, + "step": 109 + }, + { + "epoch": 0.018333333333333333, + "grad_norm": 35.0, + "grad_norm_var": 2.7684895833333334, + "learning_rate": 9.991859101080751e-05, + "loss": 7.4431, + "loss/crossentropy": 1.863470584154129, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.21127909794449806, + "step": 110 + }, + { + "epoch": 0.0185, + "grad_norm": 30.875, + "grad_norm_var": 2.9280598958333335, + "learning_rate": 9.991709083070143e-05, + "loss": 7.3494, + "loss/crossentropy": 1.776065930724144, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.17032187432050705, + "step": 111 + }, + { + "epoch": 0.018666666666666668, + "grad_norm": 32.0, + "grad_norm_var": 2.9072265625, + "learning_rate": 9.991557696554177e-05, + "loss": 7.6787, + "loss/crossentropy": 1.9118266999721527, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.19897421821951866, + "step": 112 + }, + { + "epoch": 0.018833333333333334, + "grad_norm": 33.0, + "grad_norm_var": 2.4009765625, + "learning_rate": 9.991404941574361e-05, + "loss": 7.5492, + "loss/crossentropy": 2.13837730884552, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.24482352659106255, + "step": 113 + }, + { + "epoch": 0.019, + "grad_norm": 34.0, + "grad_norm_var": 1.9150390625, + "learning_rate": 9.99125081817257e-05, + "loss": 7.4473, + "loss/crossentropy": 1.9174355566501617, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.25030214712023735, + "step": 114 + }, + { + "epoch": 0.019166666666666665, + "grad_norm": 30.75, + "grad_norm_var": 2.0134765625, + "learning_rate": 9.99109532639106e-05, + "loss": 7.5955, + "loss/crossentropy": 1.432920753955841, + "loss/hidden": 4.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.1886458545923233, + "step": 115 + }, + { + "epoch": 0.019333333333333334, + "grad_norm": 31.5, + "grad_norm_var": 1.6893229166666666, + "learning_rate": 9.990938466272459e-05, + "loss": 7.4896, + "loss/crossentropy": 1.4262737929821014, + "loss/hidden": 3.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.22360584139823914, + "step": 116 + }, + { + "epoch": 0.0195, + "grad_norm": 34.75, + "grad_norm_var": 1.89765625, + "learning_rate": 9.990780237859769e-05, + "loss": 8.213, + "loss/crossentropy": 1.6001249551773071, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.23247257247567177, + "step": 117 + }, + { + "epoch": 0.019666666666666666, + "grad_norm": 33.25, + "grad_norm_var": 1.9145833333333333, + "learning_rate": 9.990620641196374e-05, + "loss": 7.7368, + "loss/crossentropy": 1.6282226294279099, + "loss/hidden": 3.90625, + "loss/jsd": 0.0, + "loss/logits": 0.24213666282594204, + "step": 118 + }, + { + "epoch": 0.019833333333333335, + "grad_norm": 39.5, + "grad_norm_var": 4.934375, + "learning_rate": 9.990459676326024e-05, + "loss": 7.5643, + "loss/crossentropy": 2.126531273126602, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.16531133279204369, + "step": 119 + }, + { + "epoch": 0.02, + "grad_norm": 31.625, + "grad_norm_var": 4.910872395833334, + "learning_rate": 9.990297343292851e-05, + "loss": 7.5654, + "loss/crossentropy": 1.669142171740532, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.2322467900812626, + "step": 120 + }, + { + "epoch": 0.020166666666666666, + "grad_norm": 32.5, + "grad_norm_var": 4.890559895833333, + "learning_rate": 9.990133642141359e-05, + "loss": 7.6424, + "loss/crossentropy": 1.842205137014389, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.2020024061203003, + "step": 121 + }, + { + "epoch": 0.02033333333333333, + "grad_norm": 31.5, + "grad_norm_var": 4.805989583333333, + "learning_rate": 9.989968572916426e-05, + "loss": 7.4694, + "loss/crossentropy": 1.8283292353153229, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.1664537452161312, + "step": 122 + }, + { + "epoch": 0.0205, + "grad_norm": 31.75, + "grad_norm_var": 4.884375, + "learning_rate": 9.989802135663308e-05, + "loss": 7.1245, + "loss/crossentropy": 1.530500888824463, + "loss/hidden": 3.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.17333029955625534, + "step": 123 + }, + { + "epoch": 0.020666666666666667, + "grad_norm": 33.0, + "grad_norm_var": 4.626041666666667, + "learning_rate": 9.989634330427636e-05, + "loss": 7.4663, + "loss/crossentropy": 1.8538174033164978, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.27487967163324356, + "step": 124 + }, + { + "epoch": 0.020833333333333332, + "grad_norm": 35.75, + "grad_norm_var": 5.083072916666667, + "learning_rate": 9.989465157255412e-05, + "loss": 7.7927, + "loss/crossentropy": 1.7388005554676056, + "loss/hidden": 3.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.2771507576107979, + "step": 125 + }, + { + "epoch": 0.021, + "grad_norm": 37.0, + "grad_norm_var": 5.820572916666666, + "learning_rate": 9.989294616193017e-05, + "loss": 7.6527, + "loss/crossentropy": 1.881695032119751, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.19622422382235527, + "step": 126 + }, + { + "epoch": 0.021166666666666667, + "grad_norm": 30.5, + "grad_norm_var": 5.950455729166666, + "learning_rate": 9.989122707287208e-05, + "loss": 7.5189, + "loss/crossentropy": 2.330846667289734, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.2320748008787632, + "step": 127 + }, + { + "epoch": 0.021333333333333333, + "grad_norm": 32.5, + "grad_norm_var": 5.881184895833333, + "learning_rate": 9.988949430585111e-05, + "loss": 7.9233, + "loss/crossentropy": 1.7099304348230362, + "loss/hidden": 3.9296875, + "loss/jsd": 0.0, + "loss/logits": 0.2644583098590374, + "step": 128 + }, + { + "epoch": 0.0215, + "grad_norm": 29.375, + "grad_norm_var": 6.849739583333333, + "learning_rate": 9.988774786134234e-05, + "loss": 7.3151, + "loss/crossentropy": 1.8030900359153748, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.22125136107206345, + "step": 129 + }, + { + "epoch": 0.021666666666666667, + "grad_norm": 32.75, + "grad_norm_var": 6.79375, + "learning_rate": 9.988598773982454e-05, + "loss": 7.9058, + "loss/crossentropy": 2.1423310041427612, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.18011631816625595, + "step": 130 + }, + { + "epoch": 0.021833333333333333, + "grad_norm": 31.625, + "grad_norm_var": 6.5791015625, + "learning_rate": 9.988421394178027e-05, + "loss": 7.3133, + "loss/crossentropy": 1.898929089307785, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.2054540552198887, + "step": 131 + }, + { + "epoch": 0.022, + "grad_norm": 33.75, + "grad_norm_var": 6.4291015625, + "learning_rate": 9.988242646769584e-05, + "loss": 7.1352, + "loss/crossentropy": 1.5720456838607788, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.16385111585259438, + "step": 132 + }, + { + "epoch": 0.022166666666666668, + "grad_norm": 32.5, + "grad_norm_var": 6.2791015625, + "learning_rate": 9.988062531806126e-05, + "loss": 7.5522, + "loss/crossentropy": 1.3341676890850067, + "loss/hidden": 4.1875, + "loss/jsd": 0.0, + "loss/logits": 0.23463992774486542, + "step": 133 + }, + { + "epoch": 0.022333333333333334, + "grad_norm": 35.25, + "grad_norm_var": 6.581184895833333, + "learning_rate": 9.987881049337037e-05, + "loss": 7.9398, + "loss/crossentropy": 1.5141830444335938, + "loss/hidden": 4.03125, + "loss/jsd": 0.0, + "loss/logits": 0.30013222992420197, + "step": 134 + }, + { + "epoch": 0.0225, + "grad_norm": 34.0, + "grad_norm_var": 3.8369140625, + "learning_rate": 9.98769819941207e-05, + "loss": 7.3277, + "loss/crossentropy": 1.5133470296859741, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.20712239667773247, + "step": 135 + }, + { + "epoch": 0.02266666666666667, + "grad_norm": 33.5, + "grad_norm_var": 3.75390625, + "learning_rate": 9.987513982081351e-05, + "loss": 7.6822, + "loss/crossentropy": 1.5610093474388123, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.17235243692994118, + "step": 136 + }, + { + "epoch": 0.022833333333333334, + "grad_norm": 36.25, + "grad_norm_var": 4.40625, + "learning_rate": 9.987328397395387e-05, + "loss": 7.2063, + "loss/crossentropy": 1.771727591753006, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.18995914980769157, + "step": 137 + }, + { + "epoch": 0.023, + "grad_norm": 31.875, + "grad_norm_var": 4.3306640625, + "learning_rate": 9.98714144540506e-05, + "loss": 7.7502, + "loss/crossentropy": 1.9235819280147552, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.17999661713838577, + "step": 138 + }, + { + "epoch": 0.023166666666666665, + "grad_norm": 33.25, + "grad_norm_var": 4.1791015625, + "learning_rate": 9.986953126161619e-05, + "loss": 7.6574, + "loss/crossentropy": 1.362782821059227, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.25264550372958183, + "step": 139 + }, + { + "epoch": 0.023333333333333334, + "grad_norm": 30.875, + "grad_norm_var": 4.54765625, + "learning_rate": 9.986763439716696e-05, + "loss": 7.56, + "loss/crossentropy": 1.556288480758667, + "loss/hidden": 3.78515625, + "loss/jsd": 0.0, + "loss/logits": 0.2722315713763237, + "step": 140 + }, + { + "epoch": 0.0235, + "grad_norm": 31.25, + "grad_norm_var": 4.26640625, + "learning_rate": 9.986572386122291e-05, + "loss": 7.703, + "loss/crossentropy": 2.008838027715683, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.2090667188167572, + "step": 141 + }, + { + "epoch": 0.023666666666666666, + "grad_norm": 32.75, + "grad_norm_var": 3.066666666666667, + "learning_rate": 9.986379965430786e-05, + "loss": 7.5106, + "loss/crossentropy": 2.2713093757629395, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.22611282020807266, + "step": 142 + }, + { + "epoch": 0.023833333333333335, + "grad_norm": 31.5, + "grad_norm_var": 2.845833333333333, + "learning_rate": 9.986186177694933e-05, + "loss": 7.4256, + "loss/crossentropy": 1.7764946222305298, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.21423206105828285, + "step": 143 + }, + { + "epoch": 0.024, + "grad_norm": 36.75, + "grad_norm_var": 3.8684895833333335, + "learning_rate": 9.98599102296786e-05, + "loss": 7.7863, + "loss/crossentropy": 1.7998189330101013, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.19024800322949886, + "step": 144 + }, + { + "epoch": 0.024166666666666666, + "grad_norm": 31.25, + "grad_norm_var": 3.1936848958333335, + "learning_rate": 9.98579450130307e-05, + "loss": 7.3844, + "loss/crossentropy": 2.0455740094184875, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.23831216618418694, + "step": 145 + }, + { + "epoch": 0.024333333333333332, + "grad_norm": 34.25, + "grad_norm_var": 3.270247395833333, + "learning_rate": 9.985596612754439e-05, + "loss": 7.4585, + "loss/crossentropy": 1.2537191361188889, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.14199252426624298, + "step": 146 + }, + { + "epoch": 0.0245, + "grad_norm": 31.75, + "grad_norm_var": 3.2455729166666667, + "learning_rate": 9.985397357376222e-05, + "loss": 7.57, + "loss/crossentropy": 1.9460046589374542, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.17490505427122116, + "step": 147 + }, + { + "epoch": 0.024666666666666667, + "grad_norm": 31.875, + "grad_norm_var": 3.3207682291666667, + "learning_rate": 9.985196735223045e-05, + "loss": 7.6974, + "loss/crossentropy": 1.9865233302116394, + "loss/hidden": 3.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.22223564982414246, + "step": 148 + }, + { + "epoch": 0.024833333333333332, + "grad_norm": 30.875, + "grad_norm_var": 3.6059895833333333, + "learning_rate": 9.98499474634991e-05, + "loss": 7.5172, + "loss/crossentropy": 1.265583649277687, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.19561972841620445, + "step": 149 + }, + { + "epoch": 0.025, + "grad_norm": 34.75, + "grad_norm_var": 3.468489583333333, + "learning_rate": 9.98479139081219e-05, + "loss": 7.5424, + "loss/crossentropy": 1.336432695388794, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.17582042515277863, + "step": 150 + }, + { + "epoch": 0.025166666666666667, + "grad_norm": 32.75, + "grad_norm_var": 3.386458333333333, + "learning_rate": 9.98458666866564e-05, + "loss": 7.8285, + "loss/crossentropy": 1.2626894861459732, + "loss/hidden": 4.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.26004448160529137, + "step": 151 + }, + { + "epoch": 0.025333333333333333, + "grad_norm": 34.0, + "grad_norm_var": 3.4458333333333333, + "learning_rate": 9.984380579966385e-05, + "loss": 7.9453, + "loss/crossentropy": 1.5037457644939423, + "loss/hidden": 4.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.3038301654160023, + "step": 152 + }, + { + "epoch": 0.0255, + "grad_norm": 31.0, + "grad_norm_var": 2.8059895833333335, + "learning_rate": 9.984173124770923e-05, + "loss": 7.4471, + "loss/crossentropy": 2.0935803651809692, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.20670584589242935, + "step": 153 + }, + { + "epoch": 0.025666666666666667, + "grad_norm": 29.875, + "grad_norm_var": 3.23515625, + "learning_rate": 9.983964303136133e-05, + "loss": 7.7246, + "loss/crossentropy": 1.491058737039566, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.175271263346076, + "step": 154 + }, + { + "epoch": 0.025833333333333333, + "grad_norm": 31.75, + "grad_norm_var": 3.21015625, + "learning_rate": 9.983754115119261e-05, + "loss": 7.4375, + "loss/crossentropy": 2.090191066265106, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.160873519256711, + "step": 155 + }, + { + "epoch": 0.026, + "grad_norm": 31.25, + "grad_norm_var": 3.1462890625, + "learning_rate": 9.983542560777935e-05, + "loss": 7.4173, + "loss/crossentropy": 2.091566741466522, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.24305898323655128, + "step": 156 + }, + { + "epoch": 0.026166666666666668, + "grad_norm": 34.5, + "grad_norm_var": 3.3291015625, + "learning_rate": 9.983329640170149e-05, + "loss": 7.6379, + "loss/crossentropy": 1.7479139864444733, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.24493517726659775, + "step": 157 + }, + { + "epoch": 0.026333333333333334, + "grad_norm": 30.875, + "grad_norm_var": 3.5, + "learning_rate": 9.983115353354281e-05, + "loss": 7.2407, + "loss/crossentropy": 1.7053819745779037, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.2257254458963871, + "step": 158 + }, + { + "epoch": 0.0265, + "grad_norm": 30.125, + "grad_norm_var": 3.7900390625, + "learning_rate": 9.982899700389076e-05, + "loss": 7.4953, + "loss/crossentropy": 1.3609639704227448, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.15046744793653488, + "step": 159 + }, + { + "epoch": 0.02666666666666667, + "grad_norm": 31.5, + "grad_norm_var": 2.4337890625, + "learning_rate": 9.982682681333658e-05, + "loss": 7.5805, + "loss/crossentropy": 1.8961246311664581, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.21236862987279892, + "step": 160 + }, + { + "epoch": 0.026833333333333334, + "grad_norm": 32.75, + "grad_norm_var": 2.4197265625, + "learning_rate": 9.982464296247522e-05, + "loss": 7.5454, + "loss/crossentropy": 1.612160935997963, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.18199052661657333, + "step": 161 + }, + { + "epoch": 0.027, + "grad_norm": 33.5, + "grad_norm_var": 2.2416015625, + "learning_rate": 9.982244545190542e-05, + "loss": 7.783, + "loss/crossentropy": 1.516614407300949, + "loss/hidden": 3.87890625, + "loss/jsd": 0.0, + "loss/logits": 0.23189150914549828, + "step": 162 + }, + { + "epoch": 0.027166666666666665, + "grad_norm": 34.75, + "grad_norm_var": 2.6759765625, + "learning_rate": 9.982023428222962e-05, + "loss": 7.5819, + "loss/crossentropy": 1.9319280982017517, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.2132977582514286, + "step": 163 + }, + { + "epoch": 0.027333333333333334, + "grad_norm": 32.75, + "grad_norm_var": 2.6791666666666667, + "learning_rate": 9.981800945405403e-05, + "loss": 7.4188, + "loss/crossentropy": 1.921055793762207, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.22658692672848701, + "step": 164 + }, + { + "epoch": 0.0275, + "grad_norm": 33.75, + "grad_norm_var": 2.6447265625, + "learning_rate": 9.981577096798863e-05, + "loss": 7.628, + "loss/crossentropy": 2.343845933675766, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.18943049386143684, + "step": 165 + }, + { + "epoch": 0.027666666666666666, + "grad_norm": 31.875, + "grad_norm_var": 2.2958333333333334, + "learning_rate": 9.981351882464706e-05, + "loss": 7.7791, + "loss/crossentropy": 1.7194806337356567, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.22096674144268036, + "step": 166 + }, + { + "epoch": 0.027833333333333335, + "grad_norm": 31.875, + "grad_norm_var": 2.2926432291666665, + "learning_rate": 9.98112530246468e-05, + "loss": 7.9327, + "loss/crossentropy": 1.6965374052524567, + "loss/hidden": 3.8671875, + "loss/jsd": 0.0, + "loss/logits": 0.314368050545454, + "step": 167 + }, + { + "epoch": 0.028, + "grad_norm": 30.875, + "grad_norm_var": 2.1770833333333335, + "learning_rate": 9.980897356860901e-05, + "loss": 7.1302, + "loss/crossentropy": 1.3775997012853622, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.17563216760754585, + "step": 168 + }, + { + "epoch": 0.028166666666666666, + "grad_norm": 34.0, + "grad_norm_var": 2.314583333333333, + "learning_rate": 9.980668045715864e-05, + "loss": 7.7548, + "loss/crossentropy": 1.6328150779008865, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.19686350598931313, + "step": 169 + }, + { + "epoch": 0.028333333333333332, + "grad_norm": 31.125, + "grad_norm_var": 2.01640625, + "learning_rate": 9.980437369092431e-05, + "loss": 7.6132, + "loss/crossentropy": 1.4576155543327332, + "loss/hidden": 4.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.2253819815814495, + "step": 170 + }, + { + "epoch": 0.0285, + "grad_norm": 33.25, + "grad_norm_var": 2.04140625, + "learning_rate": 9.980205327053848e-05, + "loss": 7.8547, + "loss/crossentropy": 1.8768835365772247, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.173042681068182, + "step": 171 + }, + { + "epoch": 0.028666666666666667, + "grad_norm": 33.25, + "grad_norm_var": 1.97890625, + "learning_rate": 9.97997191966373e-05, + "loss": 7.4031, + "loss/crossentropy": 1.8408287167549133, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.19031177461147308, + "step": 172 + }, + { + "epoch": 0.028833333333333332, + "grad_norm": 32.25, + "grad_norm_var": 1.709375, + "learning_rate": 9.979737146986064e-05, + "loss": 7.4604, + "loss/crossentropy": 1.340224727988243, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.2081661932170391, + "step": 173 + }, + { + "epoch": 0.029, + "grad_norm": 32.75, + "grad_norm_var": 1.5462890625, + "learning_rate": 9.979501009085219e-05, + "loss": 7.415, + "loss/crossentropy": 1.5763408243656158, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.17047973722219467, + "step": 174 + }, + { + "epoch": 0.029166666666666667, + "grad_norm": 32.5, + "grad_norm_var": 1.1393229166666667, + "learning_rate": 9.979263506025929e-05, + "loss": 7.5373, + "loss/crossentropy": 1.7883712649345398, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.2959150858223438, + "step": 175 + }, + { + "epoch": 0.029333333333333333, + "grad_norm": 34.25, + "grad_norm_var": 1.1822916666666667, + "learning_rate": 9.97902463787331e-05, + "loss": 7.4311, + "loss/crossentropy": 2.3578516244888306, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.19385182484984398, + "step": 176 + }, + { + "epoch": 0.0295, + "grad_norm": 30.875, + "grad_norm_var": 1.4254557291666667, + "learning_rate": 9.978784404692847e-05, + "loss": 7.4492, + "loss/crossentropy": 2.283793807029724, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.21292581409215927, + "step": 177 + }, + { + "epoch": 0.029666666666666668, + "grad_norm": 34.0, + "grad_norm_var": 1.4926432291666667, + "learning_rate": 9.978542806550402e-05, + "loss": 7.7152, + "loss/crossentropy": 1.6890181303024292, + "loss/hidden": 4.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.3450893461704254, + "step": 178 + }, + { + "epoch": 0.029833333333333333, + "grad_norm": 31.875, + "grad_norm_var": 1.2455729166666667, + "learning_rate": 9.97829984351221e-05, + "loss": 7.3753, + "loss/crossentropy": 1.7534202337265015, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.19514819234609604, + "step": 179 + }, + { + "epoch": 0.03, + "grad_norm": 30.5, + "grad_norm_var": 1.5104166666666667, + "learning_rate": 9.978055515644882e-05, + "loss": 7.2476, + "loss/crossentropy": 1.5852151215076447, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.15638437122106552, + "step": 180 + }, + { + "epoch": 0.030166666666666668, + "grad_norm": 31.125, + "grad_norm_var": 1.4817057291666667, + "learning_rate": 9.977809823015401e-05, + "loss": 7.1402, + "loss/crossentropy": 1.579344391822815, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.1618119813501835, + "step": 181 + }, + { + "epoch": 0.030333333333333334, + "grad_norm": 34.5, + "grad_norm_var": 1.7729166666666667, + "learning_rate": 9.977562765691124e-05, + "loss": 7.4241, + "loss/crossentropy": 1.1309615969657898, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.15628819353878498, + "step": 182 + }, + { + "epoch": 0.0305, + "grad_norm": 32.0, + "grad_norm_var": 1.7645182291666666, + "learning_rate": 9.977314343739786e-05, + "loss": 7.5023, + "loss/crossentropy": 2.053345203399658, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.2063504196703434, + "step": 183 + }, + { + "epoch": 0.030666666666666665, + "grad_norm": 34.25, + "grad_norm_var": 1.7697916666666667, + "learning_rate": 9.977064557229492e-05, + "loss": 7.5849, + "loss/crossentropy": 1.5982548594474792, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.3230434563010931, + "step": 184 + }, + { + "epoch": 0.030833333333333334, + "grad_norm": 33.0, + "grad_norm_var": 1.653125, + "learning_rate": 9.97681340622872e-05, + "loss": 7.6597, + "loss/crossentropy": 1.831273764371872, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.21502476185560226, + "step": 185 + }, + { + "epoch": 0.031, + "grad_norm": 31.625, + "grad_norm_var": 1.5708333333333333, + "learning_rate": 9.976560890806328e-05, + "loss": 7.2985, + "loss/crossentropy": 1.863772302865982, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.2501535527408123, + "step": 186 + }, + { + "epoch": 0.031166666666666665, + "grad_norm": 32.0, + "grad_norm_var": 1.5643229166666666, + "learning_rate": 9.976307011031542e-05, + "loss": 7.632, + "loss/crossentropy": 1.398108333349228, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.17524024844169617, + "step": 187 + }, + { + "epoch": 0.03133333333333333, + "grad_norm": 30.875, + "grad_norm_var": 1.6942057291666666, + "learning_rate": 9.976051766973966e-05, + "loss": 7.4031, + "loss/crossentropy": 1.7360979616641998, + "loss/hidden": 3.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.2732916437089443, + "step": 188 + }, + { + "epoch": 0.0315, + "grad_norm": 33.0, + "grad_norm_var": 1.7145182291666667, + "learning_rate": 9.975795158703576e-05, + "loss": 7.7187, + "loss/crossentropy": 1.8443644046783447, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.19181860238313675, + "step": 189 + }, + { + "epoch": 0.03166666666666667, + "grad_norm": 29.75, + "grad_norm_var": 2.155143229166667, + "learning_rate": 9.975537186290724e-05, + "loss": 7.2779, + "loss/crossentropy": 2.078747868537903, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.27637293189764023, + "step": 190 + }, + { + "epoch": 0.03183333333333333, + "grad_norm": 33.5, + "grad_norm_var": 2.2499348958333334, + "learning_rate": 9.975277849806133e-05, + "loss": 7.3447, + "loss/crossentropy": 1.783536285161972, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.20468712225556374, + "step": 191 + }, + { + "epoch": 0.032, + "grad_norm": 32.0, + "grad_norm_var": 1.9874348958333334, + "learning_rate": 9.9750171493209e-05, + "loss": 7.4426, + "loss/crossentropy": 2.0766963958740234, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.23221758753061295, + "step": 192 + }, + { + "epoch": 0.03216666666666667, + "grad_norm": 31.625, + "grad_norm_var": 1.8921223958333333, + "learning_rate": 9.974755084906502e-05, + "loss": 7.433, + "loss/crossentropy": 1.5522357821464539, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.23938192054629326, + "step": 193 + }, + { + "epoch": 0.03233333333333333, + "grad_norm": 31.875, + "grad_norm_var": 1.671875, + "learning_rate": 9.974491656634782e-05, + "loss": 7.0971, + "loss/crossentropy": 2.2775827646255493, + "loss/hidden": 3.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.2913665287196636, + "step": 194 + }, + { + "epoch": 0.0325, + "grad_norm": 34.0, + "grad_norm_var": 1.8921223958333333, + "learning_rate": 9.974226864577961e-05, + "loss": 7.4177, + "loss/crossentropy": 1.771312177181244, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.22810643911361694, + "step": 195 + }, + { + "epoch": 0.03266666666666666, + "grad_norm": 33.0, + "grad_norm_var": 1.7072265625, + "learning_rate": 9.973960708808633e-05, + "loss": 7.633, + "loss/crossentropy": 1.507501482963562, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1433581579476595, + "step": 196 + }, + { + "epoch": 0.03283333333333333, + "grad_norm": 34.0, + "grad_norm_var": 1.7416666666666667, + "learning_rate": 9.973693189399766e-05, + "loss": 7.7088, + "loss/crossentropy": 1.6331115067005157, + "loss/hidden": 3.8671875, + "loss/jsd": 0.0, + "loss/logits": 0.3173863925039768, + "step": 197 + }, + { + "epoch": 0.033, + "grad_norm": 31.5, + "grad_norm_var": 1.5291666666666666, + "learning_rate": 9.973424306424705e-05, + "loss": 7.5782, + "loss/crossentropy": 1.5179617553949356, + "loss/hidden": 3.8984375, + "loss/jsd": 0.0, + "loss/logits": 0.281230915337801, + "step": 198 + }, + { + "epoch": 0.033166666666666664, + "grad_norm": 32.25, + "grad_norm_var": 1.5205729166666666, + "learning_rate": 9.973154059957162e-05, + "loss": 8.0153, + "loss/crossentropy": 1.9138246178627014, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.20401380956172943, + "step": 199 + }, + { + "epoch": 0.03333333333333333, + "grad_norm": 31.5, + "grad_norm_var": 1.3114583333333334, + "learning_rate": 9.972882450071228e-05, + "loss": 7.0994, + "loss/crossentropy": 1.0574043989181519, + "loss/hidden": 3.921875, + "loss/jsd": 0.0, + "loss/logits": 0.23022147826850414, + "step": 200 + }, + { + "epoch": 0.0335, + "grad_norm": 34.0, + "grad_norm_var": 1.478125, + "learning_rate": 9.972609476841367e-05, + "loss": 7.7352, + "loss/crossentropy": 1.9633951485157013, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.26096950471401215, + "step": 201 + }, + { + "epoch": 0.033666666666666664, + "grad_norm": 31.875, + "grad_norm_var": 1.46015625, + "learning_rate": 9.972335140342415e-05, + "loss": 7.4408, + "loss/crossentropy": 1.3950132727622986, + "loss/hidden": 3.8203125, + "loss/jsd": 0.0, + "loss/logits": 0.20604024082422256, + "step": 202 + }, + { + "epoch": 0.03383333333333333, + "grad_norm": 31.0, + "grad_norm_var": 1.5622395833333333, + "learning_rate": 9.972059440649584e-05, + "loss": 7.1746, + "loss/crossentropy": 1.7117474675178528, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.18884649127721786, + "step": 203 + }, + { + "epoch": 0.034, + "grad_norm": 33.75, + "grad_norm_var": 1.5577473958333334, + "learning_rate": 9.971782377838457e-05, + "loss": 7.9798, + "loss/crossentropy": 1.7780987322330475, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.20581259950995445, + "step": 204 + }, + { + "epoch": 0.034166666666666665, + "grad_norm": 29.75, + "grad_norm_var": 1.9639973958333334, + "learning_rate": 9.971503951984995e-05, + "loss": 7.2605, + "loss/crossentropy": 1.6917162835597992, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1562095284461975, + "step": 205 + }, + { + "epoch": 0.034333333333333334, + "grad_norm": 32.75, + "grad_norm_var": 1.5421223958333334, + "learning_rate": 9.971224163165527e-05, + "loss": 7.2398, + "loss/crossentropy": 1.9893342852592468, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.18143022432923317, + "step": 206 + }, + { + "epoch": 0.0345, + "grad_norm": 34.0, + "grad_norm_var": 1.6311848958333333, + "learning_rate": 9.970943011456761e-05, + "loss": 8.0924, + "loss/crossentropy": 1.8004242777824402, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.21368973329663277, + "step": 207 + }, + { + "epoch": 0.034666666666666665, + "grad_norm": 30.75, + "grad_norm_var": 1.8004557291666667, + "learning_rate": 9.970660496935776e-05, + "loss": 7.2989, + "loss/crossentropy": 1.4333279579877853, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.17135126143693924, + "step": 208 + }, + { + "epoch": 0.034833333333333334, + "grad_norm": 32.75, + "grad_norm_var": 1.7705729166666666, + "learning_rate": 9.970376619680024e-05, + "loss": 7.344, + "loss/crossentropy": 1.4728360325098038, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.17651018127799034, + "step": 209 + }, + { + "epoch": 0.035, + "grad_norm": 34.0, + "grad_norm_var": 1.8978515625, + "learning_rate": 9.970091379767331e-05, + "loss": 7.598, + "loss/crossentropy": 1.7544775307178497, + "loss/hidden": 3.7109375, + "loss/jsd": 0.0, + "loss/logits": 0.23908454179763794, + "step": 210 + }, + { + "epoch": 0.035166666666666666, + "grad_norm": 30.25, + "grad_norm_var": 2.0541015625, + "learning_rate": 9.9698047772759e-05, + "loss": 7.623, + "loss/crossentropy": 2.131743371486664, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.19084632396697998, + "step": 211 + }, + { + "epoch": 0.035333333333333335, + "grad_norm": 35.0, + "grad_norm_var": 2.4853515625, + "learning_rate": 9.969516812284301e-05, + "loss": 7.3634, + "loss/crossentropy": 2.212506026029587, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.2108316533267498, + "step": 212 + }, + { + "epoch": 0.0355, + "grad_norm": 36.25, + "grad_norm_var": 3.2681640625, + "learning_rate": 9.969227484871484e-05, + "loss": 7.0909, + "loss/crossentropy": 1.9730757176876068, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.220124252140522, + "step": 213 + }, + { + "epoch": 0.035666666666666666, + "grad_norm": 34.0, + "grad_norm_var": 3.2968098958333334, + "learning_rate": 9.968936795116768e-05, + "loss": 7.7264, + "loss/crossentropy": 1.7381523847579956, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.20243105106055737, + "step": 214 + }, + { + "epoch": 0.035833333333333335, + "grad_norm": 31.0, + "grad_norm_var": 3.4764973958333334, + "learning_rate": 9.968644743099848e-05, + "loss": 7.3717, + "loss/crossentropy": 1.4052337929606438, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.12791427364572883, + "step": 215 + }, + { + "epoch": 0.036, + "grad_norm": 33.0, + "grad_norm_var": 3.3843098958333333, + "learning_rate": 9.968351328900794e-05, + "loss": 7.4818, + "loss/crossentropy": 1.563568338751793, + "loss/hidden": 3.89453125, + "loss/jsd": 0.0, + "loss/logits": 0.22113186493515968, + "step": 216 + }, + { + "epoch": 0.036166666666666666, + "grad_norm": 30.5, + "grad_norm_var": 3.5702473958333334, + "learning_rate": 9.968056552600043e-05, + "loss": 7.3022, + "loss/crossentropy": 1.722176730632782, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1667504534125328, + "step": 217 + }, + { + "epoch": 0.036333333333333336, + "grad_norm": 33.25, + "grad_norm_var": 3.566666666666667, + "learning_rate": 9.967760414278411e-05, + "loss": 7.4332, + "loss/crossentropy": 2.4729353487491608, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.22087901085615158, + "step": 218 + }, + { + "epoch": 0.0365, + "grad_norm": 32.5, + "grad_norm_var": 3.3822916666666667, + "learning_rate": 9.967462914017088e-05, + "loss": 7.337, + "loss/crossentropy": 1.458601787686348, + "loss/hidden": 3.82421875, + "loss/jsd": 0.0, + "loss/logits": 0.18009812012314796, + "step": 219 + }, + { + "epoch": 0.03666666666666667, + "grad_norm": 33.5, + "grad_norm_var": 3.351822916666667, + "learning_rate": 9.967164051897633e-05, + "loss": 7.9017, + "loss/crossentropy": 1.590276151895523, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.2577647417783737, + "step": 220 + }, + { + "epoch": 0.036833333333333336, + "grad_norm": 34.5, + "grad_norm_var": 2.8916666666666666, + "learning_rate": 9.966863828001982e-05, + "loss": 7.2061, + "loss/crossentropy": 1.7242890745401382, + "loss/hidden": 4.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.3013566806912422, + "step": 221 + }, + { + "epoch": 0.037, + "grad_norm": 33.25, + "grad_norm_var": 2.890625, + "learning_rate": 9.966562242412442e-05, + "loss": 7.6513, + "loss/crossentropy": 1.62159264087677, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.20868892595171928, + "step": 222 + }, + { + "epoch": 0.03716666666666667, + "grad_norm": 31.375, + "grad_norm_var": 2.9822265625, + "learning_rate": 9.966259295211697e-05, + "loss": 7.7656, + "loss/crossentropy": 1.6929957270622253, + "loss/hidden": 3.8515625, + "loss/jsd": 0.0, + "loss/logits": 0.314834401011467, + "step": 223 + }, + { + "epoch": 0.037333333333333336, + "grad_norm": 31.25, + "grad_norm_var": 2.856705729166667, + "learning_rate": 9.965954986482799e-05, + "loss": 7.5551, + "loss/crossentropy": 1.4845804572105408, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.14850697666406631, + "step": 224 + }, + { + "epoch": 0.0375, + "grad_norm": 33.0, + "grad_norm_var": 2.8556640625, + "learning_rate": 9.965649316309178e-05, + "loss": 7.677, + "loss/crossentropy": 1.7364672124385834, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.18876685202121735, + "step": 225 + }, + { + "epoch": 0.03766666666666667, + "grad_norm": 31.125, + "grad_norm_var": 2.9559895833333334, + "learning_rate": 9.965342284774632e-05, + "loss": 6.9854, + "loss/crossentropy": 1.9357840418815613, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.18362392112612724, + "step": 226 + }, + { + "epoch": 0.03783333333333333, + "grad_norm": 33.0, + "grad_norm_var": 2.517708333333333, + "learning_rate": 9.965033891963338e-05, + "loss": 7.6782, + "loss/crossentropy": 1.895157277584076, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.26038768514990807, + "step": 227 + }, + { + "epoch": 0.038, + "grad_norm": 35.75, + "grad_norm_var": 2.7622395833333333, + "learning_rate": 9.964724137959843e-05, + "loss": 7.9638, + "loss/crossentropy": 1.6238293796777725, + "loss/hidden": 3.78125, + "loss/jsd": 0.0, + "loss/logits": 0.16440559178590775, + "step": 228 + }, + { + "epoch": 0.03816666666666667, + "grad_norm": 32.75, + "grad_norm_var": 1.9893229166666666, + "learning_rate": 9.964413022849068e-05, + "loss": 7.364, + "loss/crossentropy": 2.079767644405365, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1978134848177433, + "step": 229 + }, + { + "epoch": 0.03833333333333333, + "grad_norm": 31.375, + "grad_norm_var": 1.9770182291666667, + "learning_rate": 9.964100546716309e-05, + "loss": 7.2248, + "loss/crossentropy": 2.071979194879532, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.2368118055164814, + "step": 230 + }, + { + "epoch": 0.0385, + "grad_norm": 33.75, + "grad_norm_var": 1.8738932291666666, + "learning_rate": 9.963786709647228e-05, + "loss": 7.5364, + "loss/crossentropy": 1.8584957420825958, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.19067588821053505, + "step": 231 + }, + { + "epoch": 0.03866666666666667, + "grad_norm": 32.25, + "grad_norm_var": 1.8832682291666667, + "learning_rate": 9.963471511727868e-05, + "loss": 7.5332, + "loss/crossentropy": 1.5630061328411102, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.16000641509890556, + "step": 232 + }, + { + "epoch": 0.03883333333333333, + "grad_norm": 33.0, + "grad_norm_var": 1.5421223958333334, + "learning_rate": 9.963154953044645e-05, + "loss": 7.7968, + "loss/crossentropy": 2.40740567445755, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1722939983010292, + "step": 233 + }, + { + "epoch": 0.039, + "grad_norm": 29.125, + "grad_norm_var": 2.386458333333333, + "learning_rate": 9.962837033684343e-05, + "loss": 6.9222, + "loss/crossentropy": 1.3479905128479004, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.1708462443202734, + "step": 234 + }, + { + "epoch": 0.03916666666666667, + "grad_norm": 32.75, + "grad_norm_var": 2.3872395833333333, + "learning_rate": 9.96251775373412e-05, + "loss": 7.5628, + "loss/crossentropy": 1.9919890463352203, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.19337913393974304, + "step": 235 + }, + { + "epoch": 0.03933333333333333, + "grad_norm": 31.5, + "grad_norm_var": 2.3997395833333335, + "learning_rate": 9.962197113281509e-05, + "loss": 7.6578, + "loss/crossentropy": 1.9954728782176971, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.21360453963279724, + "step": 236 + }, + { + "epoch": 0.0395, + "grad_norm": 32.0, + "grad_norm_var": 2.1184895833333335, + "learning_rate": 9.961875112414416e-05, + "loss": 7.7701, + "loss/crossentropy": 1.5776352882385254, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.2165641412138939, + "step": 237 + }, + { + "epoch": 0.03966666666666667, + "grad_norm": 37.5, + "grad_norm_var": 3.769791666666667, + "learning_rate": 9.961551751221121e-05, + "loss": 7.4688, + "loss/crossentropy": 1.602569431066513, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.16928716376423836, + "step": 238 + }, + { + "epoch": 0.03983333333333333, + "grad_norm": 35.75, + "grad_norm_var": 4.255143229166666, + "learning_rate": 9.961227029790272e-05, + "loss": 7.3368, + "loss/crossentropy": 1.9378673136234283, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1705906204879284, + "step": 239 + }, + { + "epoch": 0.04, + "grad_norm": 31.0, + "grad_norm_var": 4.312955729166666, + "learning_rate": 9.960900948210896e-05, + "loss": 7.3995, + "loss/crossentropy": 1.6474340558052063, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.22635122761130333, + "step": 240 + }, + { + "epoch": 0.04016666666666667, + "grad_norm": 32.25, + "grad_norm_var": 4.333268229166666, + "learning_rate": 9.96057350657239e-05, + "loss": 7.7658, + "loss/crossentropy": 2.135969579219818, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1689089611172676, + "step": 241 + }, + { + "epoch": 0.04033333333333333, + "grad_norm": 31.625, + "grad_norm_var": 4.2369140625, + "learning_rate": 9.960244704964521e-05, + "loss": 7.3876, + "loss/crossentropy": 1.2477717697620392, + "loss/hidden": 3.8671875, + "loss/jsd": 0.0, + "loss/logits": 0.1663598008453846, + "step": 242 + }, + { + "epoch": 0.0405, + "grad_norm": 33.75, + "grad_norm_var": 4.2884765625, + "learning_rate": 9.959914543477435e-05, + "loss": 7.5481, + "loss/crossentropy": 1.8062715828418732, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.21589022129774094, + "step": 243 + }, + { + "epoch": 0.04066666666666666, + "grad_norm": 34.0, + "grad_norm_var": 3.8108723958333335, + "learning_rate": 9.959583022201647e-05, + "loss": 7.2943, + "loss/crossentropy": 2.5664525628089905, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.182389248162508, + "step": 244 + }, + { + "epoch": 0.04083333333333333, + "grad_norm": 32.0, + "grad_norm_var": 3.848372395833333, + "learning_rate": 9.959250141228045e-05, + "loss": 7.3098, + "loss/crossentropy": 1.983911782503128, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.23118621855974197, + "step": 245 + }, + { + "epoch": 0.041, + "grad_norm": 29.75, + "grad_norm_var": 4.30625, + "learning_rate": 9.95891590064789e-05, + "loss": 7.5478, + "loss/crossentropy": 1.5972959399223328, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.208140280097723, + "step": 246 + }, + { + "epoch": 0.041166666666666664, + "grad_norm": 37.75, + "grad_norm_var": 5.90625, + "learning_rate": 9.958580300552815e-05, + "loss": 7.2526, + "loss/crossentropy": 1.255698412656784, + "loss/hidden": 4.3125, + "loss/jsd": 0.0, + "loss/logits": 0.24902774393558502, + "step": 247 + }, + { + "epoch": 0.04133333333333333, + "grad_norm": 60.75, + "grad_norm_var": 54.296875, + "learning_rate": 9.958243341034827e-05, + "loss": 8.0128, + "loss/crossentropy": 1.4112011045217514, + "loss/hidden": 4.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.3044033832848072, + "step": 248 + }, + { + "epoch": 0.0415, + "grad_norm": 34.75, + "grad_norm_var": 54.10182291666667, + "learning_rate": 9.957905022186309e-05, + "loss": 7.643, + "loss/crossentropy": 2.386468082666397, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.2023131437599659, + "step": 249 + }, + { + "epoch": 0.041666666666666664, + "grad_norm": 31.75, + "grad_norm_var": 52.558268229166664, + "learning_rate": 9.957565344100009e-05, + "loss": 7.2652, + "loss/crossentropy": 1.6484432220458984, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.1775803379714489, + "step": 250 + }, + { + "epoch": 0.041833333333333333, + "grad_norm": 28.875, + "grad_norm_var": 54.62291666666667, + "learning_rate": 9.957224306869053e-05, + "loss": 7.2139, + "loss/crossentropy": 2.3155510425567627, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.200841274112463, + "step": 251 + }, + { + "epoch": 0.042, + "grad_norm": 30.5, + "grad_norm_var": 55.110416666666666, + "learning_rate": 9.956881910586937e-05, + "loss": 7.2056, + "loss/crossentropy": 1.4926374852657318, + "loss/hidden": 3.8125, + "loss/jsd": 0.0, + "loss/logits": 0.19533399865031242, + "step": 252 + }, + { + "epoch": 0.042166666666666665, + "grad_norm": 31.25, + "grad_norm_var": 55.40807291666667, + "learning_rate": 9.956538155347534e-05, + "loss": 7.3433, + "loss/crossentropy": 2.0166503190994263, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.26178446784615517, + "step": 253 + }, + { + "epoch": 0.042333333333333334, + "grad_norm": 32.75, + "grad_norm_var": 54.967708333333334, + "learning_rate": 9.956193041245084e-05, + "loss": 7.5805, + "loss/crossentropy": 1.2202660590410233, + "loss/hidden": 3.875, + "loss/jsd": 0.0, + "loss/logits": 0.1833195984363556, + "step": 254 + }, + { + "epoch": 0.0425, + "grad_norm": 31.0, + "grad_norm_var": 55.44765625, + "learning_rate": 9.955846568374201e-05, + "loss": 7.2663, + "loss/crossentropy": 1.2276012897491455, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.13461654260754585, + "step": 255 + }, + { + "epoch": 0.042666666666666665, + "grad_norm": 32.5, + "grad_norm_var": 54.99140625, + "learning_rate": 9.955498736829875e-05, + "loss": 7.3589, + "loss/crossentropy": 1.6177268624305725, + "loss/hidden": 3.7421875, + "loss/jsd": 0.0, + "loss/logits": 0.20657369121909142, + "step": 256 + }, + { + "epoch": 0.042833333333333334, + "grad_norm": 39.0, + "grad_norm_var": 56.19375, + "learning_rate": 9.955149546707465e-05, + "loss": 7.3266, + "loss/crossentropy": 1.5220600366592407, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.1910797841846943, + "step": 257 + }, + { + "epoch": 0.043, + "grad_norm": 32.75, + "grad_norm_var": 55.8416015625, + "learning_rate": 9.954798998102702e-05, + "loss": 7.8094, + "loss/crossentropy": 1.7598982155323029, + "loss/hidden": 3.91796875, + "loss/jsd": 0.0, + "loss/logits": 0.28901227191090584, + "step": 258 + }, + { + "epoch": 0.043166666666666666, + "grad_norm": 64.5, + "grad_norm_var": 111.5759765625, + "learning_rate": 9.954447091111694e-05, + "loss": 7.4358, + "loss/crossentropy": 2.1494410634040833, + "loss/hidden": 4.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.33057959005236626, + "step": 259 + }, + { + "epoch": 0.043333333333333335, + "grad_norm": 35.75, + "grad_norm_var": 111.18587239583333, + "learning_rate": 9.954093825830917e-05, + "loss": 7.3195, + "loss/crossentropy": 1.4215206280350685, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.12461109273135662, + "step": 260 + }, + { + "epoch": 0.0435, + "grad_norm": 32.75, + "grad_norm_var": 110.76087239583333, + "learning_rate": 9.953739202357218e-05, + "loss": 7.3571, + "loss/crossentropy": 1.2692449390888214, + "loss/hidden": 3.96875, + "loss/jsd": 0.0, + "loss/logits": 0.19402378797531128, + "step": 261 + }, + { + "epoch": 0.043666666666666666, + "grad_norm": 36.5, + "grad_norm_var": 107.39993489583334, + "learning_rate": 9.953383220787824e-05, + "loss": 8.1526, + "loss/crossentropy": 2.4642735719680786, + "loss/hidden": 3.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.19126908108592033, + "step": 262 + }, + { + "epoch": 0.043833333333333335, + "grad_norm": 31.5, + "grad_norm_var": 109.27493489583334, + "learning_rate": 9.953025881220325e-05, + "loss": 7.6018, + "loss/crossentropy": 1.7057749032974243, + "loss/hidden": 3.87890625, + "loss/jsd": 0.0, + "loss/logits": 0.23253849148750305, + "step": 263 + }, + { + "epoch": 0.044, + "grad_norm": 31.25, + "grad_norm_var": 68.98899739583334, + "learning_rate": 9.952667183752689e-05, + "loss": 7.2282, + "loss/crossentropy": 1.576460361480713, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.20516490936279297, + "step": 264 + }, + { + "epoch": 0.04416666666666667, + "grad_norm": 30.5, + "grad_norm_var": 70.1666015625, + "learning_rate": 9.952307128483256e-05, + "loss": 7.4597, + "loss/crossentropy": 1.3988469243049622, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.24469899386167526, + "step": 265 + }, + { + "epoch": 0.044333333333333336, + "grad_norm": 32.75, + "grad_norm_var": 69.85305989583334, + "learning_rate": 9.951945715510738e-05, + "loss": 7.5851, + "loss/crossentropy": 1.6784016638994217, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.26239439100027084, + "step": 266 + }, + { + "epoch": 0.0445, + "grad_norm": 30.375, + "grad_norm_var": 68.84212239583333, + "learning_rate": 9.951582944934215e-05, + "loss": 7.3346, + "loss/crossentropy": 1.2082529813051224, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.16079665906727314, + "step": 267 + }, + { + "epoch": 0.04466666666666667, + "grad_norm": 30.375, + "grad_norm_var": 68.91354166666666, + "learning_rate": 9.951218816853145e-05, + "loss": 7.2935, + "loss/crossentropy": 1.6022576689720154, + "loss/hidden": 3.77734375, + "loss/jsd": 0.0, + "loss/logits": 0.19950025528669357, + "step": 268 + }, + { + "epoch": 0.044833333333333336, + "grad_norm": 96.5, + "grad_norm_var": 304.83307291666665, + "learning_rate": 9.950853331367356e-05, + "loss": 7.6964, + "loss/crossentropy": 1.8837226927280426, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.241776242852211, + "step": 269 + }, + { + "epoch": 0.045, + "grad_norm": 39.0, + "grad_norm_var": 302.23541666666665, + "learning_rate": 9.950486488577045e-05, + "loss": 7.5045, + "loss/crossentropy": 1.924521803855896, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.1783529743552208, + "step": 270 + }, + { + "epoch": 0.04516666666666667, + "grad_norm": 36.75, + "grad_norm_var": 298.0247395833333, + "learning_rate": 9.950118288582788e-05, + "loss": 7.2832, + "loss/crossentropy": 1.426510602235794, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.20130225643515587, + "step": 271 + }, + { + "epoch": 0.04533333333333334, + "grad_norm": 33.0, + "grad_norm_var": 297.57057291666666, + "learning_rate": 9.949748731485527e-05, + "loss": 7.7463, + "loss/crossentropy": 1.5387413799762726, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.13837396539747715, + "step": 272 + }, + { + "epoch": 0.0455, + "grad_norm": 34.5, + "grad_norm_var": 299.1830729166667, + "learning_rate": 9.949377817386579e-05, + "loss": 7.748, + "loss/crossentropy": 2.084898829460144, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.17804009094834328, + "step": 273 + }, + { + "epoch": 0.04566666666666667, + "grad_norm": 32.5, + "grad_norm_var": 299.40520833333335, + "learning_rate": 9.949005546387631e-05, + "loss": 7.6664, + "loss/crossentropy": 1.4455165565013885, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.17068586684763432, + "step": 274 + }, + { + "epoch": 0.04583333333333333, + "grad_norm": 29.75, + "grad_norm_var": 258.03098958333334, + "learning_rate": 9.948631918590746e-05, + "loss": 7.3021, + "loss/crossentropy": 1.790118157863617, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.20695554837584496, + "step": 275 + }, + { + "epoch": 0.046, + "grad_norm": 31.375, + "grad_norm_var": 260.02024739583334, + "learning_rate": 9.948256934098352e-05, + "loss": 7.4683, + "loss/crossentropy": 1.9009050130844116, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.14622126519680023, + "step": 276 + }, + { + "epoch": 0.04616666666666667, + "grad_norm": 30.25, + "grad_norm_var": 261.7728515625, + "learning_rate": 9.947880593013255e-05, + "loss": 6.8859, + "loss/crossentropy": 1.3700038492679596, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.1501402109861374, + "step": 277 + }, + { + "epoch": 0.04633333333333333, + "grad_norm": 35.0, + "grad_norm_var": 261.9494140625, + "learning_rate": 9.947502895438631e-05, + "loss": 7.5624, + "loss/crossentropy": 1.6421467065811157, + "loss/hidden": 3.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.2923738732933998, + "step": 278 + }, + { + "epoch": 0.0465, + "grad_norm": 31.25, + "grad_norm_var": 262.1228515625, + "learning_rate": 9.94712384147803e-05, + "loss": 7.6512, + "loss/crossentropy": 2.2700000405311584, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1824687384068966, + "step": 279 + }, + { + "epoch": 0.04666666666666667, + "grad_norm": 77.5, + "grad_norm_var": 363.0056640625, + "learning_rate": 9.94674343123537e-05, + "loss": 7.6463, + "loss/crossentropy": 1.9362052083015442, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.22555846720933914, + "step": 280 + }, + { + "epoch": 0.04683333333333333, + "grad_norm": 60.75, + "grad_norm_var": 384.05462239583335, + "learning_rate": 9.946361664814943e-05, + "loss": 7.5631, + "loss/crossentropy": 1.9529215693473816, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.21802689135074615, + "step": 281 + }, + { + "epoch": 0.047, + "grad_norm": 39.75, + "grad_norm_var": 379.08899739583336, + "learning_rate": 9.945978542321411e-05, + "loss": 7.4859, + "loss/crossentropy": 1.9232031404972076, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.19063835218548775, + "step": 282 + }, + { + "epoch": 0.04716666666666667, + "grad_norm": 34.0, + "grad_norm_var": 374.39348958333335, + "learning_rate": 9.945594063859809e-05, + "loss": 7.6737, + "loss/crossentropy": 1.237590491771698, + "loss/hidden": 3.94921875, + "loss/jsd": 0.0, + "loss/logits": 0.17227556183934212, + "step": 283 + }, + { + "epoch": 0.04733333333333333, + "grad_norm": 30.875, + "grad_norm_var": 373.63307291666666, + "learning_rate": 9.945208229535548e-05, + "loss": 7.5977, + "loss/crossentropy": 1.904694378376007, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.2495473362505436, + "step": 284 + }, + { + "epoch": 0.0475, + "grad_norm": 52.75, + "grad_norm_var": 175.61875, + "learning_rate": 9.944821039454402e-05, + "loss": 7.4746, + "loss/crossentropy": 1.3100051432847977, + "loss/hidden": 3.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.20047403126955032, + "step": 285 + }, + { + "epoch": 0.04766666666666667, + "grad_norm": 44.0, + "grad_norm_var": 176.97291666666666, + "learning_rate": 9.944432493722524e-05, + "loss": 7.3571, + "loss/crossentropy": 1.7345851063728333, + "loss/hidden": 3.87109375, + "loss/jsd": 0.0, + "loss/logits": 0.209664486348629, + "step": 286 + }, + { + "epoch": 0.04783333333333333, + "grad_norm": 34.5, + "grad_norm_var": 178.15182291666667, + "learning_rate": 9.944042592446434e-05, + "loss": 7.9188, + "loss/crossentropy": 1.5532788634300232, + "loss/hidden": 4.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.21716440096497536, + "step": 287 + }, + { + "epoch": 0.048, + "grad_norm": 31.375, + "grad_norm_var": 179.72180989583333, + "learning_rate": 9.943651335733028e-05, + "loss": 7.3091, + "loss/crossentropy": 1.5013292729854584, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.17087434977293015, + "step": 288 + }, + { + "epoch": 0.04816666666666667, + "grad_norm": 32.25, + "grad_norm_var": 181.50305989583333, + "learning_rate": 9.94325872368957e-05, + "loss": 7.3496, + "loss/crossentropy": 1.9843324422836304, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.15040899068117142, + "step": 289 + }, + { + "epoch": 0.04833333333333333, + "grad_norm": 33.0, + "grad_norm_var": 181.06920572916667, + "learning_rate": 9.942864756423697e-05, + "loss": 7.6047, + "loss/crossentropy": 1.3669559061527252, + "loss/hidden": 3.875, + "loss/jsd": 0.0, + "loss/logits": 0.3323919512331486, + "step": 290 + }, + { + "epoch": 0.0485, + "grad_norm": 36.25, + "grad_norm_var": 175.45618489583333, + "learning_rate": 9.942469434043418e-05, + "loss": 7.8764, + "loss/crossentropy": 2.0171509087085724, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.17283064499497414, + "step": 291 + }, + { + "epoch": 0.048666666666666664, + "grad_norm": 32.75, + "grad_norm_var": 174.05182291666668, + "learning_rate": 9.942072756657112e-05, + "loss": 7.3889, + "loss/crossentropy": 1.4584332257509232, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.1842716448009014, + "step": 292 + }, + { + "epoch": 0.04883333333333333, + "grad_norm": 56.5, + "grad_norm_var": 183.81354166666668, + "learning_rate": 9.941674724373531e-05, + "loss": 7.5858, + "loss/crossentropy": 1.7785181254148483, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1826663427054882, + "step": 293 + }, + { + "epoch": 0.049, + "grad_norm": 34.5, + "grad_norm_var": 184.25625, + "learning_rate": 9.941275337301796e-05, + "loss": 7.5304, + "loss/crossentropy": 1.922767847776413, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.18793915212154388, + "step": 294 + }, + { + "epoch": 0.049166666666666664, + "grad_norm": 29.875, + "grad_norm_var": 186.2306640625, + "learning_rate": 9.940874595551404e-05, + "loss": 7.4593, + "loss/crossentropy": 1.6790326088666916, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.226290762424469, + "step": 295 + }, + { + "epoch": 0.04933333333333333, + "grad_norm": 33.25, + "grad_norm_var": 94.9650390625, + "learning_rate": 9.940472499232217e-05, + "loss": 7.3456, + "loss/crossentropy": 1.5425264686346054, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.20014165341854095, + "step": 296 + }, + { + "epoch": 0.0495, + "grad_norm": 32.0, + "grad_norm_var": 61.42337239583333, + "learning_rate": 9.940069048454476e-05, + "loss": 7.2312, + "loss/crossentropy": 1.7203574776649475, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.1594822872430086, + "step": 297 + }, + { + "epoch": 0.049666666666666665, + "grad_norm": 30.75, + "grad_norm_var": 62.857747395833336, + "learning_rate": 9.939664243328788e-05, + "loss": 7.2087, + "loss/crossentropy": 1.5136828869581223, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.17818651348352432, + "step": 298 + }, + { + "epoch": 0.049833333333333334, + "grad_norm": 31.625, + "grad_norm_var": 63.895572916666666, + "learning_rate": 9.939258083966131e-05, + "loss": 7.4739, + "loss/crossentropy": 1.2135891020298004, + "loss/hidden": 4.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1756036840379238, + "step": 299 + }, + { + "epoch": 0.05, + "grad_norm": 35.0, + "grad_norm_var": 62.13170572916667, + "learning_rate": 9.938850570477858e-05, + "loss": 7.8539, + "loss/crossentropy": 2.2176790833473206, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.21778493002057076, + "step": 300 + }, + { + "epoch": 0.050166666666666665, + "grad_norm": 32.25, + "grad_norm_var": 43.361393229166666, + "learning_rate": 9.938441702975689e-05, + "loss": 7.7701, + "loss/crossentropy": 1.50228750705719, + "loss/hidden": 3.984375, + "loss/jsd": 0.0, + "loss/logits": 0.21811051666736603, + "step": 301 + }, + { + "epoch": 0.050333333333333334, + "grad_norm": 32.5, + "grad_norm_var": 37.8150390625, + "learning_rate": 9.93803148157172e-05, + "loss": 7.7161, + "loss/crossentropy": 1.6196162104606628, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.2511756159365177, + "step": 302 + }, + { + "epoch": 0.0505, + "grad_norm": 31.875, + "grad_norm_var": 38.16640625, + "learning_rate": 9.937619906378413e-05, + "loss": 7.6818, + "loss/crossentropy": 1.9243209064006805, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.1884879358112812, + "step": 303 + }, + { + "epoch": 0.050666666666666665, + "grad_norm": 36.75, + "grad_norm_var": 38.01243489583333, + "learning_rate": 9.937206977508604e-05, + "loss": 7.7187, + "loss/crossentropy": 2.00638946890831, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.20743847452104092, + "step": 304 + }, + { + "epoch": 0.050833333333333335, + "grad_norm": 35.25, + "grad_norm_var": 37.69680989583333, + "learning_rate": 9.936792695075502e-05, + "loss": 7.5495, + "loss/crossentropy": 2.144765794277191, + "loss/hidden": 4.06640625, + "loss/jsd": 0.0, + "loss/logits": 0.34854231029748917, + "step": 305 + }, + { + "epoch": 0.051, + "grad_norm": 32.5, + "grad_norm_var": 37.8212890625, + "learning_rate": 9.936377059192683e-05, + "loss": 8.0608, + "loss/crossentropy": 1.8376803696155548, + "loss/hidden": 4.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.3084591254591942, + "step": 306 + }, + { + "epoch": 0.051166666666666666, + "grad_norm": 29.125, + "grad_norm_var": 39.428125, + "learning_rate": 9.935960069974096e-05, + "loss": 7.4009, + "loss/crossentropy": 1.757315680384636, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1837361603975296, + "step": 307 + }, + { + "epoch": 0.051333333333333335, + "grad_norm": 33.75, + "grad_norm_var": 39.303125, + "learning_rate": 9.935541727534062e-05, + "loss": 7.2565, + "loss/crossentropy": 1.2428034543991089, + "loss/hidden": 4.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.2133203148841858, + "step": 308 + }, + { + "epoch": 0.0515, + "grad_norm": 33.0, + "grad_norm_var": 4.004166666666666, + "learning_rate": 9.93512203198727e-05, + "loss": 7.4448, + "loss/crossentropy": 1.4536133259534836, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.1890176311135292, + "step": 309 + }, + { + "epoch": 0.051666666666666666, + "grad_norm": 34.25, + "grad_norm_var": 3.9497395833333333, + "learning_rate": 9.934700983448785e-05, + "loss": 7.3572, + "loss/crossentropy": 1.5229679942131042, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.16795078665018082, + "step": 310 + }, + { + "epoch": 0.051833333333333335, + "grad_norm": 31.375, + "grad_norm_var": 3.5184895833333334, + "learning_rate": 9.934278582034037e-05, + "loss": 8.021, + "loss/crossentropy": 2.2002266943454742, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.30353260040283203, + "step": 311 + }, + { + "epoch": 0.052, + "grad_norm": 30.875, + "grad_norm_var": 3.737434895833333, + "learning_rate": 9.93385482785883e-05, + "loss": 7.6316, + "loss/crossentropy": 1.4069420397281647, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.1764775663614273, + "step": 312 + }, + { + "epoch": 0.05216666666666667, + "grad_norm": 31.5, + "grad_norm_var": 3.7983723958333333, + "learning_rate": 9.93342972103934e-05, + "loss": 7.0989, + "loss/crossentropy": 1.8300898224115372, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.20034699887037277, + "step": 313 + }, + { + "epoch": 0.052333333333333336, + "grad_norm": 32.5, + "grad_norm_var": 3.5468098958333334, + "learning_rate": 9.933003261692113e-05, + "loss": 7.3283, + "loss/crossentropy": 1.3944992870092392, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.12819642573595047, + "step": 314 + }, + { + "epoch": 0.0525, + "grad_norm": 32.25, + "grad_norm_var": 3.476822916666667, + "learning_rate": 9.932575449934062e-05, + "loss": 7.7229, + "loss/crossentropy": 2.354605346918106, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17047492787241936, + "step": 315 + }, + { + "epoch": 0.05266666666666667, + "grad_norm": 33.5, + "grad_norm_var": 3.1768229166666666, + "learning_rate": 9.932146285882477e-05, + "loss": 7.3177, + "loss/crossentropy": 1.7730609476566315, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.17645995318889618, + "step": 316 + }, + { + "epoch": 0.052833333333333336, + "grad_norm": 35.0, + "grad_norm_var": 3.4833333333333334, + "learning_rate": 9.931715769655015e-05, + "loss": 7.7961, + "loss/crossentropy": 1.6061375439167023, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.2202853336930275, + "step": 317 + }, + { + "epoch": 0.053, + "grad_norm": 31.625, + "grad_norm_var": 3.574934895833333, + "learning_rate": 9.931283901369706e-05, + "loss": 7.5045, + "loss/crossentropy": 1.0404724478721619, + "loss/hidden": 3.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.22050953656435013, + "step": 318 + }, + { + "epoch": 0.05316666666666667, + "grad_norm": 31.0, + "grad_norm_var": 3.7330729166666665, + "learning_rate": 9.930850681144945e-05, + "loss": 7.6846, + "loss/crossentropy": 1.7995603382587433, + "loss/hidden": 3.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.261033620685339, + "step": 319 + }, + { + "epoch": 0.05333333333333334, + "grad_norm": 30.5, + "grad_norm_var": 2.8541666666666665, + "learning_rate": 9.930416109099505e-05, + "loss": 7.693, + "loss/crossentropy": 1.8140327036380768, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.21637173742055893, + "step": 320 + }, + { + "epoch": 0.0535, + "grad_norm": 33.75, + "grad_norm_var": 2.419791666666667, + "learning_rate": 9.929980185352526e-05, + "loss": 7.2824, + "loss/crossentropy": 1.6707937568426132, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1599106565117836, + "step": 321 + }, + { + "epoch": 0.05366666666666667, + "grad_norm": 33.0, + "grad_norm_var": 2.45, + "learning_rate": 9.929542910023517e-05, + "loss": 7.4991, + "loss/crossentropy": 2.0937286615371704, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.20110001415014267, + "step": 322 + }, + { + "epoch": 0.05383333333333333, + "grad_norm": 32.0, + "grad_norm_var": 1.7447265625, + "learning_rate": 9.929104283232362e-05, + "loss": 7.2991, + "loss/crossentropy": 1.5034100413322449, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.1632218137383461, + "step": 323 + }, + { + "epoch": 0.054, + "grad_norm": 31.75, + "grad_norm_var": 1.6593098958333334, + "learning_rate": 9.928664305099314e-05, + "loss": 7.4129, + "loss/crossentropy": 1.6899998188018799, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.24160628765821457, + "step": 324 + }, + { + "epoch": 0.05416666666666667, + "grad_norm": 30.375, + "grad_norm_var": 1.8684895833333333, + "learning_rate": 9.928222975744991e-05, + "loss": 7.5294, + "loss/crossentropy": 1.9032530784606934, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.20945952832698822, + "step": 325 + }, + { + "epoch": 0.05433333333333333, + "grad_norm": 30.375, + "grad_norm_var": 1.7494140625, + "learning_rate": 9.927780295290389e-05, + "loss": 7.4902, + "loss/crossentropy": 2.1650781631469727, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.21734672039747238, + "step": 326 + }, + { + "epoch": 0.0545, + "grad_norm": 30.125, + "grad_norm_var": 1.9447265625, + "learning_rate": 9.927336263856872e-05, + "loss": 7.2849, + "loss/crossentropy": 1.3737293183803558, + "loss/hidden": 3.859375, + "loss/jsd": 0.0, + "loss/logits": 0.19318902119994164, + "step": 327 + }, + { + "epoch": 0.05466666666666667, + "grad_norm": 31.75, + "grad_norm_var": 1.875, + "learning_rate": 9.926890881566171e-05, + "loss": 7.4656, + "loss/crossentropy": 1.3970333486795425, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.25607638619840145, + "step": 328 + }, + { + "epoch": 0.05483333333333333, + "grad_norm": 33.0, + "grad_norm_var": 1.928125, + "learning_rate": 9.926444148540393e-05, + "loss": 7.5143, + "loss/crossentropy": 2.113563746213913, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19357622042298317, + "step": 329 + }, + { + "epoch": 0.055, + "grad_norm": 32.0, + "grad_norm_var": 1.9125, + "learning_rate": 9.925996064902011e-05, + "loss": 7.6879, + "loss/crossentropy": 1.4198494106531143, + "loss/hidden": 3.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.19689097069203854, + "step": 330 + }, + { + "epoch": 0.05516666666666667, + "grad_norm": 31.75, + "grad_norm_var": 1.9114583333333333, + "learning_rate": 9.92554663077387e-05, + "loss": 7.3615, + "loss/crossentropy": 1.9942026734352112, + "loss/hidden": 3.7734375, + "loss/jsd": 0.0, + "loss/logits": 0.2034350484609604, + "step": 331 + }, + { + "epoch": 0.05533333333333333, + "grad_norm": 33.25, + "grad_norm_var": 1.8643229166666666, + "learning_rate": 9.925095846279184e-05, + "loss": 7.5943, + "loss/crossentropy": 1.7958940863609314, + "loss/hidden": 3.8515625, + "loss/jsd": 0.0, + "loss/logits": 0.2254759781062603, + "step": 332 + }, + { + "epoch": 0.0555, + "grad_norm": 33.25, + "grad_norm_var": 1.3447916666666666, + "learning_rate": 9.924643711541539e-05, + "loss": 7.6929, + "loss/crossentropy": 2.2087718546390533, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.217594176530838, + "step": 333 + }, + { + "epoch": 0.05566666666666667, + "grad_norm": 30.0, + "grad_norm_var": 1.5572265625, + "learning_rate": 9.92419022668489e-05, + "loss": 6.992, + "loss/crossentropy": 2.0006081461906433, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.1748015247285366, + "step": 334 + }, + { + "epoch": 0.05583333333333333, + "grad_norm": 30.625, + "grad_norm_var": 1.603125, + "learning_rate": 9.923735391833564e-05, + "loss": 7.1254, + "loss/crossentropy": 1.3763177990913391, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.16850856319069862, + "step": 335 + }, + { + "epoch": 0.056, + "grad_norm": 31.125, + "grad_norm_var": 1.5259765625, + "learning_rate": 9.923279207112255e-05, + "loss": 7.5483, + "loss/crossentropy": 2.0636999011039734, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.19349276646971703, + "step": 336 + }, + { + "epoch": 0.05616666666666666, + "grad_norm": 30.875, + "grad_norm_var": 1.27890625, + "learning_rate": 9.922821672646027e-05, + "loss": 7.5106, + "loss/crossentropy": 2.108673393726349, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.1966811791062355, + "step": 337 + }, + { + "epoch": 0.05633333333333333, + "grad_norm": 30.875, + "grad_norm_var": 1.1582682291666666, + "learning_rate": 9.922362788560319e-05, + "loss": 7.4267, + "loss/crossentropy": 1.1151272654533386, + "loss/hidden": 3.9375, + "loss/jsd": 0.0, + "loss/logits": 0.22225746139883995, + "step": 338 + }, + { + "epoch": 0.0565, + "grad_norm": 30.625, + "grad_norm_var": 1.1747395833333334, + "learning_rate": 9.921902554980934e-05, + "loss": 7.04, + "loss/crossentropy": 1.8475845456123352, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.21776658669114113, + "step": 339 + }, + { + "epoch": 0.056666666666666664, + "grad_norm": 32.5, + "grad_norm_var": 1.2489583333333334, + "learning_rate": 9.921440972034049e-05, + "loss": 7.5363, + "loss/crossentropy": 1.732244223356247, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.18700235709547997, + "step": 340 + }, + { + "epoch": 0.05683333333333333, + "grad_norm": 30.875, + "grad_norm_var": 1.1958333333333333, + "learning_rate": 9.92097803984621e-05, + "loss": 7.2846, + "loss/crossentropy": 1.6501949727535248, + "loss/hidden": 3.765625, + "loss/jsd": 0.0, + "loss/logits": 0.21733957901597023, + "step": 341 + }, + { + "epoch": 0.057, + "grad_norm": 32.0, + "grad_norm_var": 1.1306640625, + "learning_rate": 9.920513758544332e-05, + "loss": 7.4429, + "loss/crossentropy": 2.1270740926265717, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16204610094428062, + "step": 342 + }, + { + "epoch": 0.057166666666666664, + "grad_norm": 34.75, + "grad_norm_var": 1.5955729166666666, + "learning_rate": 9.920048128255699e-05, + "loss": 7.7165, + "loss/crossentropy": 1.5288592278957367, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.17006384581327438, + "step": 343 + }, + { + "epoch": 0.05733333333333333, + "grad_norm": 34.75, + "grad_norm_var": 2.126822916666667, + "learning_rate": 9.919581149107968e-05, + "loss": 7.4922, + "loss/crossentropy": 1.3599306643009186, + "loss/hidden": 4.02734375, + "loss/jsd": 0.0, + "loss/logits": 0.30936116725206375, + "step": 344 + }, + { + "epoch": 0.0575, + "grad_norm": 31.125, + "grad_norm_var": 2.100455729166667, + "learning_rate": 9.919112821229163e-05, + "loss": 7.6191, + "loss/crossentropy": 1.263101488351822, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.21637150272727013, + "step": 345 + }, + { + "epoch": 0.057666666666666665, + "grad_norm": 31.75, + "grad_norm_var": 2.1009765625, + "learning_rate": 9.918643144747681e-05, + "loss": 7.8287, + "loss/crossentropy": 1.9307979047298431, + "loss/hidden": 3.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.3323311507701874, + "step": 346 + }, + { + "epoch": 0.057833333333333334, + "grad_norm": 32.25, + "grad_norm_var": 2.1077473958333335, + "learning_rate": 9.918172119792282e-05, + "loss": 7.665, + "loss/crossentropy": 2.110259026288986, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.2538214847445488, + "step": 347 + }, + { + "epoch": 0.058, + "grad_norm": 30.75, + "grad_norm_var": 2.0530598958333335, + "learning_rate": 9.917699746492104e-05, + "loss": 7.3206, + "loss/crossentropy": 1.6958958506584167, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.17854224145412445, + "step": 348 + }, + { + "epoch": 0.058166666666666665, + "grad_norm": 33.5, + "grad_norm_var": 2.106705729166667, + "learning_rate": 9.917226024976649e-05, + "loss": 7.5838, + "loss/crossentropy": 1.89556485414505, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.252014197409153, + "step": 349 + }, + { + "epoch": 0.058333333333333334, + "grad_norm": 34.25, + "grad_norm_var": 2.2306640625, + "learning_rate": 9.91675095537579e-05, + "loss": 7.6167, + "loss/crossentropy": 2.5545510947704315, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.20364287123084068, + "step": 350 + }, + { + "epoch": 0.0585, + "grad_norm": 35.5, + "grad_norm_var": 2.796875, + "learning_rate": 9.916274537819775e-05, + "loss": 8.0692, + "loss/crossentropy": 1.9260480403900146, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.2535390965640545, + "step": 351 + }, + { + "epoch": 0.058666666666666666, + "grad_norm": 30.0, + "grad_norm_var": 3.0587890625, + "learning_rate": 9.915796772439207e-05, + "loss": 6.9244, + "loss/crossentropy": 1.3378092050552368, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1299455240368843, + "step": 352 + }, + { + "epoch": 0.058833333333333335, + "grad_norm": 31.75, + "grad_norm_var": 2.943489583333333, + "learning_rate": 9.915317659365077e-05, + "loss": 7.1952, + "loss/crossentropy": 2.034640520811081, + "loss/hidden": 3.8203125, + "loss/jsd": 0.0, + "loss/logits": 0.21266617625951767, + "step": 353 + }, + { + "epoch": 0.059, + "grad_norm": 30.25, + "grad_norm_var": 3.088997395833333, + "learning_rate": 9.914837198728733e-05, + "loss": 7.1558, + "loss/crossentropy": 2.037965625524521, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.1865476667881012, + "step": 354 + }, + { + "epoch": 0.059166666666666666, + "grad_norm": 32.75, + "grad_norm_var": 2.8997395833333335, + "learning_rate": 9.914355390661896e-05, + "loss": 7.4129, + "loss/crossentropy": 1.7422327101230621, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.17895380780100822, + "step": 355 + }, + { + "epoch": 0.059333333333333335, + "grad_norm": 32.75, + "grad_norm_var": 2.90625, + "learning_rate": 9.913872235296657e-05, + "loss": 7.8146, + "loss/crossentropy": 1.9063669443130493, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.20077048987150192, + "step": 356 + }, + { + "epoch": 0.0595, + "grad_norm": 30.25, + "grad_norm_var": 3.0608723958333335, + "learning_rate": 9.913387732765475e-05, + "loss": 7.0098, + "loss/crossentropy": 1.535146176815033, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.23291584476828575, + "step": 357 + }, + { + "epoch": 0.059666666666666666, + "grad_norm": 31.25, + "grad_norm_var": 3.135872395833333, + "learning_rate": 9.91290188320118e-05, + "loss": 6.9395, + "loss/crossentropy": 1.5794707238674164, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.20209918171167374, + "step": 358 + }, + { + "epoch": 0.059833333333333336, + "grad_norm": 31.25, + "grad_norm_var": 2.7822265625, + "learning_rate": 9.91241468673697e-05, + "loss": 7.1428, + "loss/crossentropy": 1.551845133304596, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16993633657693863, + "step": 359 + }, + { + "epoch": 0.06, + "grad_norm": 28.375, + "grad_norm_var": 3.09765625, + "learning_rate": 9.911926143506412e-05, + "loss": 7.1726, + "loss/crossentropy": 2.04102224111557, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19895951822400093, + "step": 360 + }, + { + "epoch": 0.06016666666666667, + "grad_norm": 30.0, + "grad_norm_var": 3.2681640625, + "learning_rate": 9.911436253643445e-05, + "loss": 7.4218, + "loss/crossentropy": 1.2187197357416153, + "loss/hidden": 3.890625, + "loss/jsd": 0.0, + "loss/logits": 0.22673745080828667, + "step": 361 + }, + { + "epoch": 0.060333333333333336, + "grad_norm": 32.5, + "grad_norm_var": 3.3119140625, + "learning_rate": 9.910945017282372e-05, + "loss": 7.0264, + "loss/crossentropy": 1.0910635814070702, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.1586693823337555, + "step": 362 + }, + { + "epoch": 0.0605, + "grad_norm": 31.625, + "grad_norm_var": 3.29140625, + "learning_rate": 9.91045243455787e-05, + "loss": 7.4063, + "loss/crossentropy": 1.703506886959076, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.1660308763384819, + "step": 363 + }, + { + "epoch": 0.06066666666666667, + "grad_norm": 34.5, + "grad_norm_var": 3.709375, + "learning_rate": 9.909958505604984e-05, + "loss": 7.2245, + "loss/crossentropy": 1.409069374203682, + "loss/hidden": 3.7109375, + "loss/jsd": 0.0, + "loss/logits": 0.22200162708759308, + "step": 364 + }, + { + "epoch": 0.060833333333333336, + "grad_norm": 33.25, + "grad_norm_var": 3.66015625, + "learning_rate": 9.909463230559127e-05, + "loss": 7.655, + "loss/crossentropy": 1.4122879952192307, + "loss/hidden": 3.83984375, + "loss/jsd": 0.0, + "loss/logits": 0.18040809780359268, + "step": 365 + }, + { + "epoch": 0.061, + "grad_norm": 31.125, + "grad_norm_var": 3.2874348958333335, + "learning_rate": 9.908966609556079e-05, + "loss": 8.0707, + "loss/crossentropy": 2.1443492472171783, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1719832681119442, + "step": 366 + }, + { + "epoch": 0.06116666666666667, + "grad_norm": 35.25, + "grad_norm_var": 3.1645182291666667, + "learning_rate": 9.908468642731995e-05, + "loss": 7.4423, + "loss/crossentropy": 1.669471025466919, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.194247554987669, + "step": 367 + }, + { + "epoch": 0.06133333333333333, + "grad_norm": 33.25, + "grad_norm_var": 3.096809895833333, + "learning_rate": 9.907969330223395e-05, + "loss": 7.497, + "loss/crossentropy": 1.650326743721962, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.18958208337426186, + "step": 368 + }, + { + "epoch": 0.0615, + "grad_norm": 32.75, + "grad_norm_var": 3.1416015625, + "learning_rate": 9.907468672167165e-05, + "loss": 7.1178, + "loss/crossentropy": 1.2656744867563248, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.1717012356966734, + "step": 369 + }, + { + "epoch": 0.06166666666666667, + "grad_norm": 32.5, + "grad_norm_var": 2.9494140625, + "learning_rate": 9.906966668700567e-05, + "loss": 7.068, + "loss/crossentropy": 1.3486099988222122, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.1758405789732933, + "step": 370 + }, + { + "epoch": 0.06183333333333333, + "grad_norm": 31.875, + "grad_norm_var": 2.919791666666667, + "learning_rate": 9.906463319961225e-05, + "loss": 7.6119, + "loss/crossentropy": 2.083003431558609, + "loss/hidden": 3.81640625, + "loss/jsd": 0.0, + "loss/logits": 0.21161380410194397, + "step": 371 + }, + { + "epoch": 0.062, + "grad_norm": 33.0, + "grad_norm_var": 2.94765625, + "learning_rate": 9.90595862608714e-05, + "loss": 7.1607, + "loss/crossentropy": 1.420634001493454, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.16716723702847958, + "step": 372 + }, + { + "epoch": 0.06216666666666667, + "grad_norm": 30.625, + "grad_norm_var": 2.8666015625, + "learning_rate": 9.90545258721667e-05, + "loss": 7.2752, + "loss/crossentropy": 2.1014665961265564, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.15661929920315742, + "step": 373 + }, + { + "epoch": 0.06233333333333333, + "grad_norm": 34.25, + "grad_norm_var": 3.1009765625, + "learning_rate": 9.904945203488554e-05, + "loss": 7.1848, + "loss/crossentropy": 1.617295429110527, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.20422854647040367, + "step": 374 + }, + { + "epoch": 0.0625, + "grad_norm": 32.5, + "grad_norm_var": 3.0306640625, + "learning_rate": 9.904436475041891e-05, + "loss": 7.4797, + "loss/crossentropy": 2.26700422167778, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18778881430625916, + "step": 375 + }, + { + "epoch": 0.06266666666666666, + "grad_norm": 32.0, + "grad_norm_var": 1.9375, + "learning_rate": 9.903926402016153e-05, + "loss": 7.4606, + "loss/crossentropy": 1.9848062098026276, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.26049788668751717, + "step": 376 + }, + { + "epoch": 0.06283333333333334, + "grad_norm": 28.125, + "grad_norm_var": 2.7978515625, + "learning_rate": 9.903414984551179e-05, + "loss": 7.249, + "loss/crossentropy": 1.9200113117694855, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.23478441685438156, + "step": 377 + }, + { + "epoch": 0.063, + "grad_norm": 33.25, + "grad_norm_var": 2.8384765625, + "learning_rate": 9.902902222787175e-05, + "loss": 7.4366, + "loss/crossentropy": 1.7129599452018738, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.18362978473305702, + "step": 378 + }, + { + "epoch": 0.06316666666666666, + "grad_norm": 34.0, + "grad_norm_var": 2.91640625, + "learning_rate": 9.902388116864722e-05, + "loss": 7.4767, + "loss/crossentropy": 1.3501964658498764, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1189290564507246, + "step": 379 + }, + { + "epoch": 0.06333333333333334, + "grad_norm": 33.5, + "grad_norm_var": 2.7309895833333333, + "learning_rate": 9.901872666924764e-05, + "loss": 7.3649, + "loss/crossentropy": 2.340759515762329, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.20152597874403, + "step": 380 + }, + { + "epoch": 0.0635, + "grad_norm": 32.0, + "grad_norm_var": 2.716666666666667, + "learning_rate": 9.901355873108609e-05, + "loss": 7.2519, + "loss/crossentropy": 1.875748872756958, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.19418711960315704, + "step": 381 + }, + { + "epoch": 0.06366666666666666, + "grad_norm": 32.25, + "grad_norm_var": 2.5895182291666665, + "learning_rate": 9.900837735557947e-05, + "loss": 7.3722, + "loss/crossentropy": 1.8264379799365997, + "loss/hidden": 3.72265625, + "loss/jsd": 0.0, + "loss/logits": 0.21041027829051018, + "step": 382 + }, + { + "epoch": 0.06383333333333334, + "grad_norm": 33.5, + "grad_norm_var": 2.1556640625, + "learning_rate": 9.900318254414821e-05, + "loss": 7.4797, + "loss/crossentropy": 2.100499212741852, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.21592680737376213, + "step": 383 + }, + { + "epoch": 0.064, + "grad_norm": 29.875, + "grad_norm_var": 2.5125, + "learning_rate": 9.899797429821656e-05, + "loss": 7.0055, + "loss/crossentropy": 1.8394896984100342, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.21314410492777824, + "step": 384 + }, + { + "epoch": 0.06416666666666666, + "grad_norm": 37.0, + "grad_norm_var": 3.9247395833333334, + "learning_rate": 9.899275261921234e-05, + "loss": 7.7596, + "loss/crossentropy": 1.4905634820461273, + "loss/hidden": 3.8828125, + "loss/jsd": 0.0, + "loss/logits": 0.21177972108125687, + "step": 385 + }, + { + "epoch": 0.06433333333333334, + "grad_norm": 33.5, + "grad_norm_var": 3.98515625, + "learning_rate": 9.898751750856713e-05, + "loss": 7.8125, + "loss/crossentropy": 1.5256913900375366, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.17715035378932953, + "step": 386 + }, + { + "epoch": 0.0645, + "grad_norm": 30.25, + "grad_norm_var": 4.3025390625, + "learning_rate": 9.898226896771619e-05, + "loss": 7.4127, + "loss/crossentropy": 1.7017391622066498, + "loss/hidden": 3.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.36126620322465897, + "step": 387 + }, + { + "epoch": 0.06466666666666666, + "grad_norm": 29.75, + "grad_norm_var": 4.735872395833334, + "learning_rate": 9.897700699809837e-05, + "loss": 7.3459, + "loss/crossentropy": 2.117743670940399, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.20285234227776527, + "step": 388 + }, + { + "epoch": 0.06483333333333334, + "grad_norm": 31.5, + "grad_norm_var": 4.59140625, + "learning_rate": 9.897173160115632e-05, + "loss": 7.3591, + "loss/crossentropy": 1.51130610704422, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.15151387825608253, + "step": 389 + }, + { + "epoch": 0.065, + "grad_norm": 33.75, + "grad_norm_var": 4.47890625, + "learning_rate": 9.896644277833631e-05, + "loss": 7.651, + "loss/crossentropy": 1.2360347509384155, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.14697962626814842, + "step": 390 + }, + { + "epoch": 0.06516666666666666, + "grad_norm": 34.75, + "grad_norm_var": 4.85625, + "learning_rate": 9.896114053108829e-05, + "loss": 7.6821, + "loss/crossentropy": 1.6834103763103485, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.30382155627012253, + "step": 391 + }, + { + "epoch": 0.06533333333333333, + "grad_norm": 32.25, + "grad_norm_var": 4.845572916666667, + "learning_rate": 9.895582486086592e-05, + "loss": 7.3562, + "loss/crossentropy": 1.5958560854196548, + "loss/hidden": 3.78515625, + "loss/jsd": 0.0, + "loss/logits": 0.1785712093114853, + "step": 392 + }, + { + "epoch": 0.0655, + "grad_norm": 34.0, + "grad_norm_var": 3.612434895833333, + "learning_rate": 9.89504957691265e-05, + "loss": 7.5119, + "loss/crossentropy": 1.34417524933815, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.18383424542844296, + "step": 393 + }, + { + "epoch": 0.06566666666666666, + "grad_norm": 32.75, + "grad_norm_var": 3.5994140625, + "learning_rate": 9.894515325733103e-05, + "loss": 7.6725, + "loss/crossentropy": 1.6958922445774078, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.174136221408844, + "step": 394 + }, + { + "epoch": 0.06583333333333333, + "grad_norm": 31.375, + "grad_norm_var": 3.60625, + "learning_rate": 9.893979732694421e-05, + "loss": 7.1315, + "loss/crossentropy": 1.6653735637664795, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.16760963946580887, + "step": 395 + }, + { + "epoch": 0.066, + "grad_norm": 29.375, + "grad_norm_var": 4.1884765625, + "learning_rate": 9.89344279794344e-05, + "loss": 7.1095, + "loss/crossentropy": 1.5993010103702545, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.17182908952236176, + "step": 396 + }, + { + "epoch": 0.06616666666666667, + "grad_norm": 34.0, + "grad_norm_var": 4.340559895833334, + "learning_rate": 9.892904521627361e-05, + "loss": 7.0819, + "loss/crossentropy": 1.4599365592002869, + "loss/hidden": 3.8125, + "loss/jsd": 0.0, + "loss/logits": 0.18065180256962776, + "step": 397 + }, + { + "epoch": 0.06633333333333333, + "grad_norm": 64.0, + "grad_norm_var": 66.31920572916667, + "learning_rate": 9.892364903893759e-05, + "loss": 7.313, + "loss/crossentropy": 2.08347424864769, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.21691031754016876, + "step": 398 + }, + { + "epoch": 0.0665, + "grad_norm": 33.0, + "grad_norm_var": 66.39993489583334, + "learning_rate": 9.891823944890568e-05, + "loss": 7.1682, + "loss/crossentropy": 1.3314939439296722, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.19921602681279182, + "step": 399 + }, + { + "epoch": 0.06666666666666667, + "grad_norm": 31.125, + "grad_norm_var": 65.73587239583334, + "learning_rate": 9.8912816447661e-05, + "loss": 7.2361, + "loss/crossentropy": 1.031214565038681, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.15684598125517368, + "step": 400 + }, + { + "epoch": 0.06683333333333333, + "grad_norm": 31.625, + "grad_norm_var": 65.76666666666667, + "learning_rate": 9.890738003669029e-05, + "loss": 7.2621, + "loss/crossentropy": 2.0488553047180176, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.18182619661092758, + "step": 401 + }, + { + "epoch": 0.067, + "grad_norm": 31.125, + "grad_norm_var": 66.3369140625, + "learning_rate": 9.890193021748395e-05, + "loss": 7.341, + "loss/crossentropy": 1.5651976019144058, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.1589721255004406, + "step": 402 + }, + { + "epoch": 0.06716666666666667, + "grad_norm": 31.0, + "grad_norm_var": 65.9931640625, + "learning_rate": 9.88964669915361e-05, + "loss": 7.3422, + "loss/crossentropy": 1.7897996976971626, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.14813226275146008, + "step": 403 + }, + { + "epoch": 0.06733333333333333, + "grad_norm": 31.25, + "grad_norm_var": 65.2666015625, + "learning_rate": 9.889099036034451e-05, + "loss": 7.2486, + "loss/crossentropy": 2.028013914823532, + "loss/hidden": 4.015625, + "loss/jsd": 0.0, + "loss/logits": 0.2523065656423569, + "step": 404 + }, + { + "epoch": 0.0675, + "grad_norm": 34.25, + "grad_norm_var": 64.75670572916667, + "learning_rate": 9.888550032541059e-05, + "loss": 7.6157, + "loss/crossentropy": 1.7820807695388794, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.1764237843453884, + "step": 405 + }, + { + "epoch": 0.06766666666666667, + "grad_norm": 31.125, + "grad_norm_var": 65.39791666666666, + "learning_rate": 9.887999688823955e-05, + "loss": 7.3084, + "loss/crossentropy": 1.5304799228906631, + "loss/hidden": 3.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.26905737072229385, + "step": 406 + }, + { + "epoch": 0.06783333333333333, + "grad_norm": 32.5, + "grad_norm_var": 65.54557291666667, + "learning_rate": 9.88744800503401e-05, + "loss": 7.4814, + "loss/crossentropy": 1.909523993730545, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.22289742529392242, + "step": 407 + }, + { + "epoch": 0.068, + "grad_norm": 35.5, + "grad_norm_var": 65.42708333333333, + "learning_rate": 9.886894981322476e-05, + "loss": 7.5579, + "loss/crossentropy": 1.9321822822093964, + "loss/hidden": 4.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.21899055689573288, + "step": 408 + }, + { + "epoch": 0.06816666666666667, + "grad_norm": 35.0, + "grad_norm_var": 65.45625, + "learning_rate": 9.886340617840968e-05, + "loss": 7.4951, + "loss/crossentropy": 1.745114415884018, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.19060330465435982, + "step": 409 + }, + { + "epoch": 0.06833333333333333, + "grad_norm": 31.0, + "grad_norm_var": 66.01223958333334, + "learning_rate": 9.885784914741465e-05, + "loss": 7.514, + "loss/crossentropy": 2.1204441487789154, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.19498489424586296, + "step": 410 + }, + { + "epoch": 0.0685, + "grad_norm": 30.5, + "grad_norm_var": 66.3900390625, + "learning_rate": 9.88522787217632e-05, + "loss": 7.2348, + "loss/crossentropy": 1.9602341055870056, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16496751084923744, + "step": 411 + }, + { + "epoch": 0.06866666666666667, + "grad_norm": 32.0, + "grad_norm_var": 65.15, + "learning_rate": 9.884669490298244e-05, + "loss": 7.1868, + "loss/crossentropy": 1.9193522334098816, + "loss/hidden": 3.7734375, + "loss/jsd": 0.0, + "loss/logits": 0.22780518978834152, + "step": 412 + }, + { + "epoch": 0.06883333333333333, + "grad_norm": 31.125, + "grad_norm_var": 65.78639322916666, + "learning_rate": 9.884109769260325e-05, + "loss": 7.2402, + "loss/crossentropy": 1.510194793343544, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.18128687515854836, + "step": 413 + }, + { + "epoch": 0.069, + "grad_norm": 31.75, + "grad_norm_var": 2.3613932291666666, + "learning_rate": 9.883548709216013e-05, + "loss": 7.3283, + "loss/crossentropy": 1.604835420846939, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.1667223460972309, + "step": 414 + }, + { + "epoch": 0.06916666666666667, + "grad_norm": 29.875, + "grad_norm_var": 2.60390625, + "learning_rate": 9.882986310319124e-05, + "loss": 7.3877, + "loss/crossentropy": 1.790344089269638, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.17915276437997818, + "step": 415 + }, + { + "epoch": 0.06933333333333333, + "grad_norm": 30.625, + "grad_norm_var": 2.67265625, + "learning_rate": 9.882422572723844e-05, + "loss": 7.0171, + "loss/crossentropy": 2.0589410960674286, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.21364706382155418, + "step": 416 + }, + { + "epoch": 0.0695, + "grad_norm": 30.375, + "grad_norm_var": 2.814583333333333, + "learning_rate": 9.881857496584726e-05, + "loss": 7.111, + "loss/crossentropy": 1.3649069666862488, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.23485032096505165, + "step": 417 + }, + { + "epoch": 0.06966666666666667, + "grad_norm": 30.5, + "grad_norm_var": 2.8962890625, + "learning_rate": 9.881291082056685e-05, + "loss": 7.2745, + "loss/crossentropy": 1.6852681040763855, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.23358748480677605, + "step": 418 + }, + { + "epoch": 0.06983333333333333, + "grad_norm": 31.75, + "grad_norm_var": 2.8541015625, + "learning_rate": 9.880723329295012e-05, + "loss": 7.4246, + "loss/crossentropy": 1.7184284329414368, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.20467643439769745, + "step": 419 + }, + { + "epoch": 0.07, + "grad_norm": 30.375, + "grad_norm_var": 2.968489583333333, + "learning_rate": 9.880154238455356e-05, + "loss": 7.1977, + "loss/crossentropy": 1.639914184808731, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.27305275201797485, + "step": 420 + }, + { + "epoch": 0.07016666666666667, + "grad_norm": 30.125, + "grad_norm_var": 2.6655598958333333, + "learning_rate": 9.879583809693738e-05, + "loss": 7.1936, + "loss/crossentropy": 1.7328845262527466, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.14637303911149502, + "step": 421 + }, + { + "epoch": 0.07033333333333333, + "grad_norm": 34.0, + "grad_norm_var": 3.035416666666667, + "learning_rate": 9.879012043166542e-05, + "loss": 7.6863, + "loss/crossentropy": 1.6795161664485931, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.17538448050618172, + "step": 422 + }, + { + "epoch": 0.0705, + "grad_norm": 31.5, + "grad_norm_var": 2.9895833333333335, + "learning_rate": 9.878438939030526e-05, + "loss": 7.4762, + "loss/crossentropy": 1.9363873898983002, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.42479467391967773, + "step": 423 + }, + { + "epoch": 0.07066666666666667, + "grad_norm": 31.625, + "grad_norm_var": 1.9259765625, + "learning_rate": 9.877864497442804e-05, + "loss": 7.6811, + "loss/crossentropy": 1.9779807329177856, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.22114330902695656, + "step": 424 + }, + { + "epoch": 0.07083333333333333, + "grad_norm": 28.75, + "grad_norm_var": 1.3530598958333333, + "learning_rate": 9.877288718560866e-05, + "loss": 7.1135, + "loss/crossentropy": 1.2891452014446259, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.12475473806262016, + "step": 425 + }, + { + "epoch": 0.071, + "grad_norm": 29.0, + "grad_norm_var": 1.6009765625, + "learning_rate": 9.876711602542563e-05, + "loss": 7.2409, + "loss/crossentropy": 1.786192610859871, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.18037456832826138, + "step": 426 + }, + { + "epoch": 0.07116666666666667, + "grad_norm": 32.75, + "grad_norm_var": 1.8072265625, + "learning_rate": 9.876133149546118e-05, + "loss": 7.4427, + "loss/crossentropy": 1.9531354904174805, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1618359051644802, + "step": 427 + }, + { + "epoch": 0.07133333333333333, + "grad_norm": 34.5, + "grad_norm_var": 2.528580729166667, + "learning_rate": 9.875553359730114e-05, + "loss": 7.2901, + "loss/crossentropy": 1.4478426724672318, + "loss/hidden": 3.93359375, + "loss/jsd": 0.0, + "loss/logits": 0.1801770105957985, + "step": 428 + }, + { + "epoch": 0.0715, + "grad_norm": 32.25, + "grad_norm_var": 2.601822916666667, + "learning_rate": 9.874972233253504e-05, + "loss": 7.0818, + "loss/crossentropy": 1.631743460893631, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.19842953979969025, + "step": 429 + }, + { + "epoch": 0.07166666666666667, + "grad_norm": 30.75, + "grad_norm_var": 2.595572916666667, + "learning_rate": 9.874389770275607e-05, + "loss": 7.5555, + "loss/crossentropy": 1.5108791291713715, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.16849511303007603, + "step": 430 + }, + { + "epoch": 0.07183333333333333, + "grad_norm": 33.0, + "grad_norm_var": 2.6655598958333333, + "learning_rate": 9.87380597095611e-05, + "loss": 7.6512, + "loss/crossentropy": 1.9580343961715698, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.21497854217886925, + "step": 431 + }, + { + "epoch": 0.072, + "grad_norm": 32.75, + "grad_norm_var": 2.7375, + "learning_rate": 9.873220835455064e-05, + "loss": 7.5562, + "loss/crossentropy": 1.9114446938037872, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.15941833890974522, + "step": 432 + }, + { + "epoch": 0.07216666666666667, + "grad_norm": 30.125, + "grad_norm_var": 2.77890625, + "learning_rate": 9.872634363932887e-05, + "loss": 7.3277, + "loss/crossentropy": 1.5630664974451065, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.15427661500871181, + "step": 433 + }, + { + "epoch": 0.07233333333333333, + "grad_norm": 31.875, + "grad_norm_var": 2.7166015625, + "learning_rate": 9.872046556550363e-05, + "loss": 7.2233, + "loss/crossentropy": 1.781863272190094, + "loss/hidden": 4.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.256728108972311, + "step": 434 + }, + { + "epoch": 0.0725, + "grad_norm": 32.0, + "grad_norm_var": 2.7264973958333334, + "learning_rate": 9.871457413468644e-05, + "loss": 7.226, + "loss/crossentropy": 1.3000462800264359, + "loss/hidden": 3.83984375, + "loss/jsd": 0.0, + "loss/logits": 0.21796053275465965, + "step": 435 + }, + { + "epoch": 0.07266666666666667, + "grad_norm": 32.0, + "grad_norm_var": 2.629166666666667, + "learning_rate": 9.870866934849248e-05, + "loss": 7.351, + "loss/crossentropy": 1.6976856887340546, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.1842471994459629, + "step": 436 + }, + { + "epoch": 0.07283333333333333, + "grad_norm": 30.875, + "grad_norm_var": 2.508072916666667, + "learning_rate": 9.870275120854054e-05, + "loss": 7.5839, + "loss/crossentropy": 2.3903128504753113, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18865225464105606, + "step": 437 + }, + { + "epoch": 0.073, + "grad_norm": 30.75, + "grad_norm_var": 2.1864583333333334, + "learning_rate": 9.869681971645315e-05, + "loss": 7.4518, + "loss/crossentropy": 1.8442813605070114, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.1843016818165779, + "step": 438 + }, + { + "epoch": 0.07316666666666667, + "grad_norm": 32.25, + "grad_norm_var": 2.218489583333333, + "learning_rate": 9.869087487385644e-05, + "loss": 7.6065, + "loss/crossentropy": 1.7373953759670258, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.17827446945011616, + "step": 439 + }, + { + "epoch": 0.07333333333333333, + "grad_norm": 36.0, + "grad_norm_var": 3.442122395833333, + "learning_rate": 9.868491668238025e-05, + "loss": 7.2492, + "loss/crossentropy": 1.6353029012680054, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.1661812923848629, + "step": 440 + }, + { + "epoch": 0.0735, + "grad_norm": 32.75, + "grad_norm_var": 2.787955729166667, + "learning_rate": 9.867894514365802e-05, + "loss": 7.4579, + "loss/crossentropy": 1.672650307416916, + "loss/hidden": 3.875, + "loss/jsd": 0.0, + "loss/logits": 0.2703779861330986, + "step": 441 + }, + { + "epoch": 0.07366666666666667, + "grad_norm": 31.25, + "grad_norm_var": 2.1738932291666666, + "learning_rate": 9.867296025932688e-05, + "loss": 7.2466, + "loss/crossentropy": 2.3615481853485107, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19613812491297722, + "step": 442 + }, + { + "epoch": 0.07383333333333333, + "grad_norm": 32.75, + "grad_norm_var": 2.1738932291666666, + "learning_rate": 9.866696203102766e-05, + "loss": 7.2187, + "loss/crossentropy": 1.9904030561447144, + "loss/hidden": 3.890625, + "loss/jsd": 0.0, + "loss/logits": 0.2621547132730484, + "step": 443 + }, + { + "epoch": 0.074, + "grad_norm": 31.125, + "grad_norm_var": 1.8697916666666667, + "learning_rate": 9.866095046040478e-05, + "loss": 7.6522, + "loss/crossentropy": 1.8616594970226288, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.16203163377940655, + "step": 444 + }, + { + "epoch": 0.07416666666666667, + "grad_norm": 32.5, + "grad_norm_var": 1.8809895833333334, + "learning_rate": 9.865492554910633e-05, + "loss": 7.303, + "loss/crossentropy": 1.496483102440834, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.24139206856489182, + "step": 445 + }, + { + "epoch": 0.07433333333333333, + "grad_norm": 32.0, + "grad_norm_var": 1.7625, + "learning_rate": 9.86488872987841e-05, + "loss": 7.356, + "loss/crossentropy": 1.637431263923645, + "loss/hidden": 3.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.2300253063440323, + "step": 446 + }, + { + "epoch": 0.0745, + "grad_norm": 31.125, + "grad_norm_var": 1.7634765625, + "learning_rate": 9.864283571109352e-05, + "loss": 7.8614, + "loss/crossentropy": 1.583919882774353, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.2739395461976528, + "step": 447 + }, + { + "epoch": 0.07466666666666667, + "grad_norm": 32.0, + "grad_norm_var": 1.7244140625, + "learning_rate": 9.863677078769362e-05, + "loss": 7.5423, + "loss/crossentropy": 1.9376616775989532, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.2414015680551529, + "step": 448 + }, + { + "epoch": 0.07483333333333334, + "grad_norm": 32.75, + "grad_norm_var": 1.5125, + "learning_rate": 9.863069253024719e-05, + "loss": 7.9243, + "loss/crossentropy": 1.9691549688577652, + "loss/hidden": 3.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.21448491513729095, + "step": 449 + }, + { + "epoch": 0.075, + "grad_norm": 32.25, + "grad_norm_var": 1.5087890625, + "learning_rate": 9.862460094042056e-05, + "loss": 7.2924, + "loss/crossentropy": 1.596924401819706, + "loss/hidden": 3.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.16464821249246597, + "step": 450 + }, + { + "epoch": 0.07516666666666667, + "grad_norm": 31.75, + "grad_norm_var": 1.5176432291666666, + "learning_rate": 9.861849601988383e-05, + "loss": 7.5016, + "loss/crossentropy": 1.297846108675003, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.18855424225330353, + "step": 451 + }, + { + "epoch": 0.07533333333333334, + "grad_norm": 29.5, + "grad_norm_var": 1.9525390625, + "learning_rate": 9.861237777031068e-05, + "loss": 7.2361, + "loss/crossentropy": 1.8280795812606812, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.18522650003433228, + "step": 452 + }, + { + "epoch": 0.0755, + "grad_norm": 32.5, + "grad_norm_var": 1.87890625, + "learning_rate": 9.860624619337844e-05, + "loss": 7.3614, + "loss/crossentropy": 1.5700929462909698, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.16174762323498726, + "step": 453 + }, + { + "epoch": 0.07566666666666666, + "grad_norm": 31.875, + "grad_norm_var": 1.7587890625, + "learning_rate": 9.860010129076813e-05, + "loss": 6.8208, + "loss/crossentropy": 1.4433760195970535, + "loss/hidden": 3.7421875, + "loss/jsd": 0.0, + "loss/logits": 0.16576368734240532, + "step": 454 + }, + { + "epoch": 0.07583333333333334, + "grad_norm": 34.25, + "grad_norm_var": 2.035872395833333, + "learning_rate": 9.859394306416444e-05, + "loss": 7.6301, + "loss/crossentropy": 2.117895543575287, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.21888913959264755, + "step": 455 + }, + { + "epoch": 0.076, + "grad_norm": 33.5, + "grad_norm_var": 1.1843098958333333, + "learning_rate": 9.858777151525564e-05, + "loss": 7.0118, + "loss/crossentropy": 1.6520485877990723, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.1626514047384262, + "step": 456 + }, + { + "epoch": 0.07616666666666666, + "grad_norm": 31.125, + "grad_norm_var": 1.2122395833333333, + "learning_rate": 9.85815866457337e-05, + "loss": 7.1072, + "loss/crossentropy": 2.178823322057724, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.18832968920469284, + "step": 457 + }, + { + "epoch": 0.07633333333333334, + "grad_norm": 31.25, + "grad_norm_var": 1.2122395833333333, + "learning_rate": 9.857538845729426e-05, + "loss": 7.4747, + "loss/crossentropy": 1.6742831617593765, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.1979827582836151, + "step": 458 + }, + { + "epoch": 0.0765, + "grad_norm": 32.0, + "grad_norm_var": 1.1739583333333334, + "learning_rate": 9.856917695163658e-05, + "loss": 7.2882, + "loss/crossentropy": 1.699859082698822, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.1798916831612587, + "step": 459 + }, + { + "epoch": 0.07666666666666666, + "grad_norm": 31.375, + "grad_norm_var": 1.1497395833333333, + "learning_rate": 9.856295213046357e-05, + "loss": 7.5482, + "loss/crossentropy": 2.0418995320796967, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.2375405840575695, + "step": 460 + }, + { + "epoch": 0.07683333333333334, + "grad_norm": 33.25, + "grad_norm_var": 1.2364583333333334, + "learning_rate": 9.855671399548181e-05, + "loss": 7.3054, + "loss/crossentropy": 1.9323958605527878, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.22189056873321533, + "step": 461 + }, + { + "epoch": 0.077, + "grad_norm": 33.25, + "grad_norm_var": 1.32890625, + "learning_rate": 9.855046254840151e-05, + "loss": 7.5128, + "loss/crossentropy": 1.9981287121772766, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1936916969716549, + "step": 462 + }, + { + "epoch": 0.07716666666666666, + "grad_norm": 31.375, + "grad_norm_var": 1.3, + "learning_rate": 9.854419779093655e-05, + "loss": 7.1306, + "loss/crossentropy": 1.2438909262418747, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.17436053417623043, + "step": 463 + }, + { + "epoch": 0.07733333333333334, + "grad_norm": 29.875, + "grad_norm_var": 1.6176432291666667, + "learning_rate": 9.853791972480445e-05, + "loss": 7.3704, + "loss/crossentropy": 1.6113817691802979, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.15345285832881927, + "step": 464 + }, + { + "epoch": 0.0775, + "grad_norm": 30.125, + "grad_norm_var": 1.7830729166666666, + "learning_rate": 9.853162835172637e-05, + "loss": 7.4493, + "loss/crossentropy": 2.1560588479042053, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.16945412755012512, + "step": 465 + }, + { + "epoch": 0.07766666666666666, + "grad_norm": 31.5, + "grad_norm_var": 1.7760416666666667, + "learning_rate": 9.852532367342713e-05, + "loss": 7.2615, + "loss/crossentropy": 1.7896616458892822, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18198765441775322, + "step": 466 + }, + { + "epoch": 0.07783333333333334, + "grad_norm": 32.5, + "grad_norm_var": 1.8080729166666667, + "learning_rate": 9.851900569163519e-05, + "loss": 7.4714, + "loss/crossentropy": 1.9437064826488495, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.1927110031247139, + "step": 467 + }, + { + "epoch": 0.078, + "grad_norm": 32.5, + "grad_norm_var": 1.4393229166666666, + "learning_rate": 9.851267440808265e-05, + "loss": 7.3594, + "loss/crossentropy": 1.3540785908699036, + "loss/hidden": 3.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.20039800181984901, + "step": 468 + }, + { + "epoch": 0.07816666666666666, + "grad_norm": 31.0, + "grad_norm_var": 1.4830729166666667, + "learning_rate": 9.85063298245053e-05, + "loss": 7.1811, + "loss/crossentropy": 1.8484355509281158, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.1995554454624653, + "step": 469 + }, + { + "epoch": 0.07833333333333334, + "grad_norm": 33.25, + "grad_norm_var": 1.5926432291666666, + "learning_rate": 9.84999719426425e-05, + "loss": 7.7469, + "loss/crossentropy": 1.7779522836208344, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.1738000623881817, + "step": 470 + }, + { + "epoch": 0.0785, + "grad_norm": 30.75, + "grad_norm_var": 1.3119140625, + "learning_rate": 9.849360076423734e-05, + "loss": 7.5347, + "loss/crossentropy": 1.979307770729065, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.16858231276273727, + "step": 471 + }, + { + "epoch": 0.07866666666666666, + "grad_norm": 30.875, + "grad_norm_var": 1.14375, + "learning_rate": 9.84872162910365e-05, + "loss": 7.2582, + "loss/crossentropy": 1.9429263174533844, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1769695095717907, + "step": 472 + }, + { + "epoch": 0.07883333333333334, + "grad_norm": 28.875, + "grad_norm_var": 1.61015625, + "learning_rate": 9.84808185247903e-05, + "loss": 7.573, + "loss/crossentropy": 2.1421655118465424, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.17848249524831772, + "step": 473 + }, + { + "epoch": 0.079, + "grad_norm": 36.75, + "grad_norm_var": 3.32890625, + "learning_rate": 9.847440746725275e-05, + "loss": 7.7908, + "loss/crossentropy": 1.3447946310043335, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.18741309270262718, + "step": 474 + }, + { + "epoch": 0.07916666666666666, + "grad_norm": 31.375, + "grad_norm_var": 3.338997395833333, + "learning_rate": 9.846798312018146e-05, + "loss": 7.5913, + "loss/crossentropy": 1.8275827169418335, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.24438031017780304, + "step": 475 + }, + { + "epoch": 0.07933333333333334, + "grad_norm": 32.0, + "grad_norm_var": 3.32890625, + "learning_rate": 9.846154548533773e-05, + "loss": 7.4547, + "loss/crossentropy": 1.9462362825870514, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.21810081601142883, + "step": 476 + }, + { + "epoch": 0.0795, + "grad_norm": 29.75, + "grad_norm_var": 3.4309895833333335, + "learning_rate": 9.845509456448643e-05, + "loss": 7.3036, + "loss/crossentropy": 1.7459705471992493, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.16330504044890404, + "step": 477 + }, + { + "epoch": 0.07966666666666666, + "grad_norm": 33.5, + "grad_norm_var": 3.4895833333333335, + "learning_rate": 9.844863035939615e-05, + "loss": 7.5502, + "loss/crossentropy": 1.9055275321006775, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.28089214861392975, + "step": 478 + }, + { + "epoch": 0.07983333333333334, + "grad_norm": 32.25, + "grad_norm_var": 3.5082682291666667, + "learning_rate": 9.844215287183909e-05, + "loss": 7.1068, + "loss/crossentropy": 1.7861053347587585, + "loss/hidden": 3.79296875, + "loss/jsd": 0.0, + "loss/logits": 0.25769438222050667, + "step": 479 + }, + { + "epoch": 0.08, + "grad_norm": 34.5, + "grad_norm_var": 3.732291666666667, + "learning_rate": 9.843566210359106e-05, + "loss": 7.0123, + "loss/crossentropy": 1.8309744149446487, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.15748615190386772, + "step": 480 + }, + { + "epoch": 0.08016666666666666, + "grad_norm": 33.0, + "grad_norm_var": 3.542122395833333, + "learning_rate": 9.842915805643155e-05, + "loss": 7.2267, + "loss/crossentropy": 1.8069412112236023, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.1999414637684822, + "step": 481 + }, + { + "epoch": 0.08033333333333334, + "grad_norm": 30.5, + "grad_norm_var": 3.6910807291666665, + "learning_rate": 9.842264073214371e-05, + "loss": 7.073, + "loss/crossentropy": 1.5245321840047836, + "loss/hidden": 3.87890625, + "loss/jsd": 0.0, + "loss/logits": 0.22637157142162323, + "step": 482 + }, + { + "epoch": 0.0805, + "grad_norm": 33.25, + "grad_norm_var": 3.7676432291666666, + "learning_rate": 9.841611013251429e-05, + "loss": 7.5032, + "loss/crossentropy": 1.4558211117982864, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.18064381927251816, + "step": 483 + }, + { + "epoch": 0.08066666666666666, + "grad_norm": 31.875, + "grad_norm_var": 3.761458333333333, + "learning_rate": 9.840956625933367e-05, + "loss": 7.281, + "loss/crossentropy": 1.9358763992786407, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.18417445197701454, + "step": 484 + }, + { + "epoch": 0.08083333333333333, + "grad_norm": 30.125, + "grad_norm_var": 3.9369140625, + "learning_rate": 9.840300911439591e-05, + "loss": 7.3674, + "loss/crossentropy": 1.7015015482902527, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.20439771935343742, + "step": 485 + }, + { + "epoch": 0.081, + "grad_norm": 44.25, + "grad_norm_var": 13.275455729166667, + "learning_rate": 9.839643869949866e-05, + "loss": 7.7514, + "loss/crossentropy": 2.1199212074279785, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.22786704450845718, + "step": 486 + }, + { + "epoch": 0.08116666666666666, + "grad_norm": 32.5, + "grad_norm_var": 13.0056640625, + "learning_rate": 9.838985501644328e-05, + "loss": 7.1685, + "loss/crossentropy": 1.7645389437675476, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.18691401928663254, + "step": 487 + }, + { + "epoch": 0.08133333333333333, + "grad_norm": 30.375, + "grad_norm_var": 13.152018229166666, + "learning_rate": 9.83832580670347e-05, + "loss": 7.4557, + "loss/crossentropy": 1.8709838688373566, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.20340480655431747, + "step": 488 + }, + { + "epoch": 0.0815, + "grad_norm": 30.125, + "grad_norm_var": 12.5947265625, + "learning_rate": 9.837664785308149e-05, + "loss": 7.2281, + "loss/crossentropy": 2.070108652114868, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.24872201681137085, + "step": 489 + }, + { + "epoch": 0.08166666666666667, + "grad_norm": 32.25, + "grad_norm_var": 11.5400390625, + "learning_rate": 9.837002437639593e-05, + "loss": 7.7274, + "loss/crossentropy": 2.13846293091774, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.18616901524364948, + "step": 490 + }, + { + "epoch": 0.08183333333333333, + "grad_norm": 36.75, + "grad_norm_var": 12.466666666666667, + "learning_rate": 9.836338763879385e-05, + "loss": 7.4742, + "loss/crossentropy": 1.9132429659366608, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.15966995060443878, + "step": 491 + }, + { + "epoch": 0.082, + "grad_norm": 38.0, + "grad_norm_var": 13.966666666666667, + "learning_rate": 9.835673764209474e-05, + "loss": 7.6467, + "loss/crossentropy": 2.3943788409233093, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1816554293036461, + "step": 492 + }, + { + "epoch": 0.08216666666666667, + "grad_norm": 40.25, + "grad_norm_var": 15.869791666666666, + "learning_rate": 9.835007438812177e-05, + "loss": 7.6718, + "loss/crossentropy": 1.3702804148197174, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.1656254678964615, + "step": 493 + }, + { + "epoch": 0.08233333333333333, + "grad_norm": 30.5, + "grad_norm_var": 16.619791666666668, + "learning_rate": 9.834339787870166e-05, + "loss": 7.3474, + "loss/crossentropy": 2.013328567147255, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.17504287511110306, + "step": 494 + }, + { + "epoch": 0.0825, + "grad_norm": 33.0, + "grad_norm_var": 16.501822916666665, + "learning_rate": 9.833670811566485e-05, + "loss": 7.8286, + "loss/crossentropy": 1.9959434270858765, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1881503090262413, + "step": 495 + }, + { + "epoch": 0.08266666666666667, + "grad_norm": 30.875, + "grad_norm_var": 16.998372395833332, + "learning_rate": 9.833000510084537e-05, + "loss": 7.7687, + "loss/crossentropy": 2.2734366953372955, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.16209129244089127, + "step": 496 + }, + { + "epoch": 0.08283333333333333, + "grad_norm": 31.5, + "grad_norm_var": 17.259309895833333, + "learning_rate": 9.832328883608088e-05, + "loss": 7.016, + "loss/crossentropy": 1.9175287038087845, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.17320701107382774, + "step": 497 + }, + { + "epoch": 0.083, + "grad_norm": 29.875, + "grad_norm_var": 17.534375, + "learning_rate": 9.83165593232127e-05, + "loss": 7.2644, + "loss/crossentropy": 2.0322545766830444, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.17185277864336967, + "step": 498 + }, + { + "epoch": 0.08316666666666667, + "grad_norm": 32.5, + "grad_norm_var": 17.59140625, + "learning_rate": 9.830981656408574e-05, + "loss": 7.6535, + "loss/crossentropy": 1.8783454298973083, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.2332802191376686, + "step": 499 + }, + { + "epoch": 0.08333333333333333, + "grad_norm": 30.875, + "grad_norm_var": 17.86015625, + "learning_rate": 9.830306056054858e-05, + "loss": 7.3534, + "loss/crossentropy": 1.6666748374700546, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.23043451458215714, + "step": 500 + }, + { + "epoch": 0.0835, + "grad_norm": 32.0, + "grad_norm_var": 17.2712890625, + "learning_rate": 9.829629131445342e-05, + "loss": 7.964, + "loss/crossentropy": 1.8988508880138397, + "loss/hidden": 3.859375, + "loss/jsd": 0.0, + "loss/logits": 0.32320621982216835, + "step": 501 + }, + { + "epoch": 0.08366666666666667, + "grad_norm": 36.0, + "grad_norm_var": 9.6744140625, + "learning_rate": 9.828950882765608e-05, + "loss": 7.7202, + "loss/crossentropy": 1.911725103855133, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.27852168306708336, + "step": 502 + }, + { + "epoch": 0.08383333333333333, + "grad_norm": 38.5, + "grad_norm_var": 11.5556640625, + "learning_rate": 9.828271310201601e-05, + "loss": 7.521, + "loss/crossentropy": 1.8464531302452087, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.19315709546208382, + "step": 503 + }, + { + "epoch": 0.084, + "grad_norm": 34.25, + "grad_norm_var": 10.964322916666667, + "learning_rate": 9.827590413939632e-05, + "loss": 7.3371, + "loss/crossentropy": 1.4560853987932205, + "loss/hidden": 3.87890625, + "loss/jsd": 0.0, + "loss/logits": 0.2105232998728752, + "step": 504 + }, + { + "epoch": 0.08416666666666667, + "grad_norm": 40.0, + "grad_norm_var": 12.512434895833334, + "learning_rate": 9.82690819416637e-05, + "loss": 7.3674, + "loss/crossentropy": 2.154931664466858, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.2120799981057644, + "step": 505 + }, + { + "epoch": 0.08433333333333333, + "grad_norm": 32.0, + "grad_norm_var": 12.581184895833333, + "learning_rate": 9.826224651068852e-05, + "loss": 7.4003, + "loss/crossentropy": 2.2104691863059998, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.20807649940252304, + "step": 506 + }, + { + "epoch": 0.0845, + "grad_norm": 32.0, + "grad_norm_var": 12.3634765625, + "learning_rate": 9.825539784834472e-05, + "loss": 8.0154, + "loss/crossentropy": 1.8775488883256912, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.29413507506251335, + "step": 507 + }, + { + "epoch": 0.08466666666666667, + "grad_norm": 30.5, + "grad_norm_var": 11.7619140625, + "learning_rate": 9.824853595650991e-05, + "loss": 7.2414, + "loss/crossentropy": 1.8616193979978561, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.22998263500630856, + "step": 508 + }, + { + "epoch": 0.08483333333333333, + "grad_norm": 32.5, + "grad_norm_var": 8.452018229166667, + "learning_rate": 9.824166083706534e-05, + "loss": 7.461, + "loss/crossentropy": 2.28107687830925, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.1916147843003273, + "step": 509 + }, + { + "epoch": 0.085, + "grad_norm": 30.875, + "grad_norm_var": 8.339322916666667, + "learning_rate": 9.823477249189586e-05, + "loss": 7.3315, + "loss/crossentropy": 2.21771964430809, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.17464283481240273, + "step": 510 + }, + { + "epoch": 0.08516666666666667, + "grad_norm": 30.625, + "grad_norm_var": 8.677018229166666, + "learning_rate": 9.822787092288991e-05, + "loss": 7.526, + "loss/crossentropy": 1.6273227035999298, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.14881786331534386, + "step": 511 + }, + { + "epoch": 0.08533333333333333, + "grad_norm": 29.0, + "grad_norm_var": 9.379166666666666, + "learning_rate": 9.822095613193962e-05, + "loss": 7.4387, + "loss/crossentropy": 1.1738679260015488, + "loss/hidden": 3.9296875, + "loss/jsd": 0.0, + "loss/logits": 0.23782077431678772, + "step": 512 + }, + { + "epoch": 0.0855, + "grad_norm": 29.875, + "grad_norm_var": 9.801497395833334, + "learning_rate": 9.821402812094073e-05, + "loss": 7.2145, + "loss/crossentropy": 1.9264242947101593, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.16293403506278992, + "step": 513 + }, + { + "epoch": 0.08566666666666667, + "grad_norm": 32.0, + "grad_norm_var": 9.315625, + "learning_rate": 9.820708689179259e-05, + "loss": 7.5502, + "loss/crossentropy": 1.9040753841400146, + "loss/hidden": 3.81640625, + "loss/jsd": 0.0, + "loss/logits": 0.22584915533661842, + "step": 514 + }, + { + "epoch": 0.08583333333333333, + "grad_norm": 32.5, + "grad_norm_var": 9.315625, + "learning_rate": 9.820013244639816e-05, + "loss": 7.3902, + "loss/crossentropy": 1.9383987933397293, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.17753108590841293, + "step": 515 + }, + { + "epoch": 0.086, + "grad_norm": 37.25, + "grad_norm_var": 10.2884765625, + "learning_rate": 9.819316478666405e-05, + "loss": 7.2979, + "loss/crossentropy": 1.6980541944503784, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.2852817215025425, + "step": 516 + }, + { + "epoch": 0.08616666666666667, + "grad_norm": 77.0, + "grad_norm_var": 130.1478515625, + "learning_rate": 9.81861839145005e-05, + "loss": 7.2376, + "loss/crossentropy": 2.135787755250931, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.31826721876859665, + "step": 517 + }, + { + "epoch": 0.08633333333333333, + "grad_norm": 31.625, + "grad_norm_var": 131.303125, + "learning_rate": 9.817918983182132e-05, + "loss": 7.5889, + "loss/crossentropy": 1.9717459678649902, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.1891697198152542, + "step": 518 + }, + { + "epoch": 0.0865, + "grad_norm": 33.5, + "grad_norm_var": 130.96979166666668, + "learning_rate": 9.8172182540544e-05, + "loss": 7.5686, + "loss/crossentropy": 1.85391965508461, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.21009477972984314, + "step": 519 + }, + { + "epoch": 0.08666666666666667, + "grad_norm": 33.5, + "grad_norm_var": 131.11432291666668, + "learning_rate": 9.816516204258963e-05, + "loss": 7.6624, + "loss/crossentropy": 1.716525286436081, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.20092326402664185, + "step": 520 + }, + { + "epoch": 0.08683333333333333, + "grad_norm": 37.0, + "grad_norm_var": 129.79557291666666, + "learning_rate": 9.815812833988291e-05, + "loss": 7.5984, + "loss/crossentropy": 1.9357898831367493, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.20662782341241837, + "step": 521 + }, + { + "epoch": 0.087, + "grad_norm": 31.625, + "grad_norm_var": 129.95983072916667, + "learning_rate": 9.815108143435218e-05, + "loss": 7.5694, + "loss/crossentropy": 1.6256851255893707, + "loss/hidden": 3.94140625, + "loss/jsd": 0.0, + "loss/logits": 0.22203047946095467, + "step": 522 + }, + { + "epoch": 0.08716666666666667, + "grad_norm": 29.625, + "grad_norm_var": 131.28958333333333, + "learning_rate": 9.814402132792939e-05, + "loss": 7.1982, + "loss/crossentropy": 1.38237664103508, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.18348556011915207, + "step": 523 + }, + { + "epoch": 0.08733333333333333, + "grad_norm": 33.25, + "grad_norm_var": 130.13515625, + "learning_rate": 9.81369480225501e-05, + "loss": 7.2048, + "loss/crossentropy": 1.1930311918258667, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.1644559781998396, + "step": 524 + }, + { + "epoch": 0.0875, + "grad_norm": 32.0, + "grad_norm_var": 130.32473958333333, + "learning_rate": 9.812986152015348e-05, + "loss": 7.0943, + "loss/crossentropy": 1.6827171742916107, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.1376042291522026, + "step": 525 + }, + { + "epoch": 0.08766666666666667, + "grad_norm": 33.0, + "grad_norm_var": 129.41608072916668, + "learning_rate": 9.812276182268236e-05, + "loss": 7.2546, + "loss/crossentropy": 1.7442258596420288, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.1855621635913849, + "step": 526 + }, + { + "epoch": 0.08783333333333333, + "grad_norm": 34.0, + "grad_norm_var": 128.06432291666667, + "learning_rate": 9.811564893208318e-05, + "loss": 7.2576, + "loss/crossentropy": 1.7366014122962952, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.1919305920600891, + "step": 527 + }, + { + "epoch": 0.088, + "grad_norm": 30.0, + "grad_norm_var": 127.27057291666667, + "learning_rate": 9.810852285030593e-05, + "loss": 7.2357, + "loss/crossentropy": 1.479769915342331, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.13667869940400124, + "step": 528 + }, + { + "epoch": 0.08816666666666667, + "grad_norm": 30.125, + "grad_norm_var": 127.0875, + "learning_rate": 9.81013835793043e-05, + "loss": 7.0018, + "loss/crossentropy": 1.913949340581894, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.20627281442284584, + "step": 529 + }, + { + "epoch": 0.08833333333333333, + "grad_norm": 31.5, + "grad_norm_var": 127.33645833333334, + "learning_rate": 9.809423112103554e-05, + "loss": 7.578, + "loss/crossentropy": 1.991028755903244, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.2587154358625412, + "step": 530 + }, + { + "epoch": 0.0885, + "grad_norm": 32.5, + "grad_norm_var": 127.33645833333334, + "learning_rate": 9.808706547746057e-05, + "loss": 7.4202, + "loss/crossentropy": 1.8278934955596924, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.1403353549540043, + "step": 531 + }, + { + "epoch": 0.08866666666666667, + "grad_norm": 31.25, + "grad_norm_var": 128.16145833333334, + "learning_rate": 9.807988665054386e-05, + "loss": 7.0638, + "loss/crossentropy": 1.9256342053413391, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.19789009541273117, + "step": 532 + }, + { + "epoch": 0.08883333333333333, + "grad_norm": 37.25, + "grad_norm_var": 4.812239583333334, + "learning_rate": 9.807269464225355e-05, + "loss": 7.3253, + "loss/crossentropy": 1.6666708588600159, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.19620881974697113, + "step": 533 + }, + { + "epoch": 0.089, + "grad_norm": 31.0, + "grad_norm_var": 4.918684895833334, + "learning_rate": 9.806548945456134e-05, + "loss": 7.0865, + "loss/crossentropy": 1.6663388460874557, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.18542758375406265, + "step": 534 + }, + { + "epoch": 0.08916666666666667, + "grad_norm": 33.5, + "grad_norm_var": 4.918684895833334, + "learning_rate": 9.80582710894426e-05, + "loss": 7.663, + "loss/crossentropy": 1.5742804110050201, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.2117019146680832, + "step": 535 + }, + { + "epoch": 0.08933333333333333, + "grad_norm": 31.875, + "grad_norm_var": 4.882291666666666, + "learning_rate": 9.805103954887627e-05, + "loss": 7.3142, + "loss/crossentropy": 1.4173726439476013, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1896781139075756, + "step": 536 + }, + { + "epoch": 0.0895, + "grad_norm": 30.5, + "grad_norm_var": 3.595833333333333, + "learning_rate": 9.804379483484494e-05, + "loss": 7.037, + "loss/crossentropy": 1.822264939546585, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.26772022992372513, + "step": 537 + }, + { + "epoch": 0.08966666666666667, + "grad_norm": 30.125, + "grad_norm_var": 3.823958333333333, + "learning_rate": 9.803653694933476e-05, + "loss": 7.1956, + "loss/crossentropy": 1.9131834506988525, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.18607193604111671, + "step": 538 + }, + { + "epoch": 0.08983333333333333, + "grad_norm": 32.0, + "grad_norm_var": 3.434309895833333, + "learning_rate": 9.802926589433553e-05, + "loss": 7.3716, + "loss/crossentropy": 1.3513479083776474, + "loss/hidden": 3.87109375, + "loss/jsd": 0.0, + "loss/logits": 0.18404807522892952, + "step": 539 + }, + { + "epoch": 0.09, + "grad_norm": 30.625, + "grad_norm_var": 3.468489583333333, + "learning_rate": 9.802198167184067e-05, + "loss": 7.3129, + "loss/crossentropy": 2.4426297545433044, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.2037721537053585, + "step": 540 + }, + { + "epoch": 0.09016666666666667, + "grad_norm": 31.875, + "grad_norm_var": 3.4686848958333334, + "learning_rate": 9.801468428384716e-05, + "loss": 7.6509, + "loss/crossentropy": 1.5746603906154633, + "loss/hidden": 3.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.32794898748397827, + "step": 541 + }, + { + "epoch": 0.09033333333333333, + "grad_norm": 30.25, + "grad_norm_var": 3.5546223958333334, + "learning_rate": 9.800737373235565e-05, + "loss": 7.4872, + "loss/crossentropy": 1.8053328394889832, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.20955198258161545, + "step": 542 + }, + { + "epoch": 0.0905, + "grad_norm": 31.125, + "grad_norm_var": 3.2177083333333334, + "learning_rate": 9.800005001937034e-05, + "loss": 7.3155, + "loss/crossentropy": 1.6847141683101654, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.24826514720916748, + "step": 543 + }, + { + "epoch": 0.09066666666666667, + "grad_norm": 32.5, + "grad_norm_var": 3.0770833333333334, + "learning_rate": 9.799271314689908e-05, + "loss": 7.4947, + "loss/crossentropy": 1.4387599974870682, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.17265227809548378, + "step": 544 + }, + { + "epoch": 0.09083333333333334, + "grad_norm": 32.75, + "grad_norm_var": 2.9389973958333333, + "learning_rate": 9.798536311695334e-05, + "loss": 7.5155, + "loss/crossentropy": 1.610468253493309, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.25361471623182297, + "step": 545 + }, + { + "epoch": 0.091, + "grad_norm": 39.0, + "grad_norm_var": 6.040559895833334, + "learning_rate": 9.797799993154814e-05, + "loss": 7.6191, + "loss/crossentropy": 1.585631400346756, + "loss/hidden": 3.88671875, + "loss/jsd": 0.0, + "loss/logits": 0.23871760815382004, + "step": 546 + }, + { + "epoch": 0.09116666666666666, + "grad_norm": 34.25, + "grad_norm_var": 6.259309895833334, + "learning_rate": 9.797062359270215e-05, + "loss": 7.075, + "loss/crossentropy": 1.7494496703147888, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.20255015417933464, + "step": 547 + }, + { + "epoch": 0.09133333333333334, + "grad_norm": 32.25, + "grad_norm_var": 6.156184895833333, + "learning_rate": 9.796323410243763e-05, + "loss": 7.2868, + "loss/crossentropy": 1.8040901720523834, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2106856070458889, + "step": 548 + }, + { + "epoch": 0.0915, + "grad_norm": 33.5, + "grad_norm_var": 4.687434895833333, + "learning_rate": 9.795583146278046e-05, + "loss": 7.5655, + "loss/crossentropy": 1.967070758342743, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.1635872982442379, + "step": 549 + }, + { + "epoch": 0.09166666666666666, + "grad_norm": 31.0, + "grad_norm_var": 4.687434895833333, + "learning_rate": 9.794841567576011e-05, + "loss": 7.183, + "loss/crossentropy": 1.89350163936615, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.2356087677180767, + "step": 550 + }, + { + "epoch": 0.09183333333333334, + "grad_norm": 28.75, + "grad_norm_var": 5.350455729166667, + "learning_rate": 9.794098674340965e-05, + "loss": 7.5694, + "loss/crossentropy": 2.145504057407379, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.2829388454556465, + "step": 551 + }, + { + "epoch": 0.092, + "grad_norm": 30.5, + "grad_norm_var": 5.495833333333334, + "learning_rate": 9.793354466776579e-05, + "loss": 7.3258, + "loss/crossentropy": 1.336853101849556, + "loss/hidden": 3.78515625, + "loss/jsd": 0.0, + "loss/logits": 0.22842231392860413, + "step": 552 + }, + { + "epoch": 0.09216666666666666, + "grad_norm": 30.125, + "grad_norm_var": 5.576497395833333, + "learning_rate": 9.79260894508688e-05, + "loss": 6.9005, + "loss/crossentropy": 1.2748893350362778, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.14185206405818462, + "step": 553 + }, + { + "epoch": 0.09233333333333334, + "grad_norm": 35.0, + "grad_norm_var": 5.898958333333334, + "learning_rate": 9.791862109476257e-05, + "loss": 7.2931, + "loss/crossentropy": 1.4451977908611298, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.1574489250779152, + "step": 554 + }, + { + "epoch": 0.0925, + "grad_norm": 35.5, + "grad_norm_var": 6.5625, + "learning_rate": 9.791113960149458e-05, + "loss": 7.5447, + "loss/crossentropy": 1.8290373086929321, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.21042313054203987, + "step": 555 + }, + { + "epoch": 0.09266666666666666, + "grad_norm": 31.625, + "grad_norm_var": 6.383333333333334, + "learning_rate": 9.790364497311597e-05, + "loss": 7.0703, + "loss/crossentropy": 1.9699373841285706, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.19719154760241508, + "step": 556 + }, + { + "epoch": 0.09283333333333334, + "grad_norm": 31.375, + "grad_norm_var": 6.440625, + "learning_rate": 9.789613721168139e-05, + "loss": 7.7407, + "loss/crossentropy": 1.7264699935913086, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.2011517956852913, + "step": 557 + }, + { + "epoch": 0.093, + "grad_norm": 29.5, + "grad_norm_var": 6.69765625, + "learning_rate": 9.788861631924913e-05, + "loss": 7.3241, + "loss/crossentropy": 1.5741243362426758, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.18323720432817936, + "step": 558 + }, + { + "epoch": 0.09316666666666666, + "grad_norm": 33.5, + "grad_norm_var": 6.639518229166667, + "learning_rate": 9.788108229788111e-05, + "loss": 7.5273, + "loss/crossentropy": 1.6940201073884964, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.25649141147732735, + "step": 559 + }, + { + "epoch": 0.09333333333333334, + "grad_norm": 31.125, + "grad_norm_var": 6.770572916666667, + "learning_rate": 9.787353514964284e-05, + "loss": 7.481, + "loss/crossentropy": 1.7400060892105103, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1604272499680519, + "step": 560 + }, + { + "epoch": 0.0935, + "grad_norm": 28.75, + "grad_norm_var": 7.62890625, + "learning_rate": 9.786597487660337e-05, + "loss": 7.2236, + "loss/crossentropy": 1.8776799738407135, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.2707614079117775, + "step": 561 + }, + { + "epoch": 0.09366666666666666, + "grad_norm": 35.75, + "grad_norm_var": 5.357291666666667, + "learning_rate": 9.785840148083543e-05, + "loss": 7.4374, + "loss/crossentropy": 1.3171101808547974, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.17544611543416977, + "step": 562 + }, + { + "epoch": 0.09383333333333334, + "grad_norm": 35.25, + "grad_norm_var": 5.715625, + "learning_rate": 9.785081496441527e-05, + "loss": 7.4671, + "loss/crossentropy": 1.6518716365098953, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1516691166907549, + "step": 563 + }, + { + "epoch": 0.094, + "grad_norm": 34.0, + "grad_norm_var": 5.943489583333333, + "learning_rate": 9.784321532942282e-05, + "loss": 7.7993, + "loss/crossentropy": 2.034118413925171, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.2103406973183155, + "step": 564 + }, + { + "epoch": 0.09416666666666666, + "grad_norm": 31.625, + "grad_norm_var": 5.838997395833333, + "learning_rate": 9.783560257794154e-05, + "loss": 7.3867, + "loss/crossentropy": 1.5135559290647507, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.25094762071967125, + "step": 565 + }, + { + "epoch": 0.09433333333333334, + "grad_norm": 32.5, + "grad_norm_var": 5.762434895833334, + "learning_rate": 9.78279767120585e-05, + "loss": 7.5445, + "loss/crossentropy": 2.080939292907715, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.28340235352516174, + "step": 566 + }, + { + "epoch": 0.0945, + "grad_norm": 31.0, + "grad_norm_var": 5.049934895833333, + "learning_rate": 9.782033773386439e-05, + "loss": 7.5806, + "loss/crossentropy": 2.0637872517108917, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.1680529285222292, + "step": 567 + }, + { + "epoch": 0.09466666666666666, + "grad_norm": 28.75, + "grad_norm_var": 5.666080729166667, + "learning_rate": 9.781268564545348e-05, + "loss": 7.2124, + "loss/crossentropy": 1.145897313952446, + "loss/hidden": 3.90234375, + "loss/jsd": 0.0, + "loss/logits": 0.2204378955066204, + "step": 568 + }, + { + "epoch": 0.09483333333333334, + "grad_norm": 31.125, + "grad_norm_var": 5.450455729166666, + "learning_rate": 9.780502044892362e-05, + "loss": 7.5132, + "loss/crossentropy": 1.9616839289665222, + "loss/hidden": 3.76953125, + "loss/jsd": 0.0, + "loss/logits": 0.20735982805490494, + "step": 569 + }, + { + "epoch": 0.095, + "grad_norm": 32.5, + "grad_norm_var": 4.9322265625, + "learning_rate": 9.779734214637628e-05, + "loss": 7.4043, + "loss/crossentropy": 1.7016425430774689, + "loss/hidden": 3.77734375, + "loss/jsd": 0.0, + "loss/logits": 0.18523864448070526, + "step": 570 + }, + { + "epoch": 0.09516666666666666, + "grad_norm": 33.5, + "grad_norm_var": 4.280143229166667, + "learning_rate": 9.778965073991651e-05, + "loss": 7.8276, + "loss/crossentropy": 1.8775156438350677, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.16149216145277023, + "step": 571 + }, + { + "epoch": 0.09533333333333334, + "grad_norm": 35.5, + "grad_norm_var": 5.02890625, + "learning_rate": 9.778194623165296e-05, + "loss": 7.4528, + "loss/crossentropy": 1.6817852705717087, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.18132995441555977, + "step": 572 + }, + { + "epoch": 0.0955, + "grad_norm": 33.75, + "grad_norm_var": 5.109309895833333, + "learning_rate": 9.777422862369783e-05, + "loss": 7.2692, + "loss/crossentropy": 2.2099765241146088, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.20043417066335678, + "step": 573 + }, + { + "epoch": 0.09566666666666666, + "grad_norm": 30.375, + "grad_norm_var": 4.820833333333334, + "learning_rate": 9.776649791816698e-05, + "loss": 7.3347, + "loss/crossentropy": 1.9577098190784454, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.18493201583623886, + "step": 574 + }, + { + "epoch": 0.09583333333333334, + "grad_norm": 29.75, + "grad_norm_var": 5.168489583333334, + "learning_rate": 9.77587541171798e-05, + "loss": 7.2916, + "loss/crossentropy": 1.350791186094284, + "loss/hidden": 3.8984375, + "loss/jsd": 0.0, + "loss/logits": 0.19409921392798424, + "step": 575 + }, + { + "epoch": 0.096, + "grad_norm": 30.375, + "grad_norm_var": 5.311458333333333, + "learning_rate": 9.775099722285935e-05, + "loss": 7.3015, + "loss/crossentropy": 1.5742547512054443, + "loss/hidden": 3.8203125, + "loss/jsd": 0.0, + "loss/logits": 0.21891336888074875, + "step": 576 + }, + { + "epoch": 0.09616666666666666, + "grad_norm": 31.0, + "grad_norm_var": 4.605989583333334, + "learning_rate": 9.774322723733216e-05, + "loss": 7.1642, + "loss/crossentropy": 1.5461835861206055, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.26148809865117073, + "step": 577 + }, + { + "epoch": 0.09633333333333334, + "grad_norm": 29.875, + "grad_norm_var": 4.058268229166667, + "learning_rate": 9.773544416272845e-05, + "loss": 7.2441, + "loss/crossentropy": 2.068322002887726, + "loss/hidden": 3.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.1912810057401657, + "step": 578 + }, + { + "epoch": 0.0965, + "grad_norm": 32.75, + "grad_norm_var": 3.3421223958333335, + "learning_rate": 9.772764800118199e-05, + "loss": 7.6185, + "loss/crossentropy": 2.2380817532539368, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.23637336120009422, + "step": 579 + }, + { + "epoch": 0.09666666666666666, + "grad_norm": 36.0, + "grad_norm_var": 4.185872395833333, + "learning_rate": 9.771983875483013e-05, + "loss": 7.4395, + "loss/crossentropy": 1.504803255200386, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18147898092865944, + "step": 580 + }, + { + "epoch": 0.09683333333333333, + "grad_norm": 31.25, + "grad_norm_var": 4.208333333333333, + "learning_rate": 9.771201642581385e-05, + "loss": 7.4978, + "loss/crossentropy": 1.624559223651886, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.3103417083621025, + "step": 581 + }, + { + "epoch": 0.097, + "grad_norm": 32.0, + "grad_norm_var": 4.182291666666667, + "learning_rate": 9.770418101627765e-05, + "loss": 7.4196, + "loss/crossentropy": 1.2693295776844025, + "loss/hidden": 3.83984375, + "loss/jsd": 0.0, + "loss/logits": 0.16165144927799702, + "step": 582 + }, + { + "epoch": 0.09716666666666667, + "grad_norm": 31.0, + "grad_norm_var": 4.182291666666667, + "learning_rate": 9.769633252836969e-05, + "loss": 7.2533, + "loss/crossentropy": 1.8926941752433777, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1859600469470024, + "step": 583 + }, + { + "epoch": 0.09733333333333333, + "grad_norm": 31.625, + "grad_norm_var": 3.512955729166667, + "learning_rate": 9.768847096424164e-05, + "loss": 7.1366, + "loss/crossentropy": 0.7712745144963264, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.1119179055094719, + "step": 584 + }, + { + "epoch": 0.0975, + "grad_norm": 29.5, + "grad_norm_var": 3.87265625, + "learning_rate": 9.76805963260488e-05, + "loss": 7.4932, + "loss/crossentropy": 1.6978729963302612, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.20137057453393936, + "step": 585 + }, + { + "epoch": 0.09766666666666667, + "grad_norm": 29.125, + "grad_norm_var": 4.3244140625, + "learning_rate": 9.767270861595005e-05, + "loss": 6.989, + "loss/crossentropy": 1.3800832033157349, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1577189937233925, + "step": 586 + }, + { + "epoch": 0.09783333333333333, + "grad_norm": 30.5, + "grad_norm_var": 4.1712890625, + "learning_rate": 9.766480783610788e-05, + "loss": 7.3945, + "loss/crossentropy": 2.3877436816692352, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.17484752088785172, + "step": 587 + }, + { + "epoch": 0.098, + "grad_norm": 30.0, + "grad_norm_var": 3.145768229166667, + "learning_rate": 9.765689398868831e-05, + "loss": 7.2735, + "loss/crossentropy": 1.9268846809864044, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.14904212579131126, + "step": 588 + }, + { + "epoch": 0.09816666666666667, + "grad_norm": 35.25, + "grad_norm_var": 3.8004557291666665, + "learning_rate": 9.764896707586096e-05, + "loss": 7.1183, + "loss/crossentropy": 1.3810617476701736, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.1700935810804367, + "step": 589 + }, + { + "epoch": 0.09833333333333333, + "grad_norm": 31.5, + "grad_norm_var": 3.7447916666666665, + "learning_rate": 9.764102709979902e-05, + "loss": 7.2089, + "loss/crossentropy": 1.7945798188447952, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17525190860033035, + "step": 590 + }, + { + "epoch": 0.0985, + "grad_norm": 31.25, + "grad_norm_var": 3.566666666666667, + "learning_rate": 9.763307406267932e-05, + "loss": 7.3247, + "loss/crossentropy": 1.9337197840213776, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.1758846901357174, + "step": 591 + }, + { + "epoch": 0.09866666666666667, + "grad_norm": 29.625, + "grad_norm_var": 3.7080729166666666, + "learning_rate": 9.76251079666822e-05, + "loss": 7.5682, + "loss/crossentropy": 1.7730904519557953, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.1683446653187275, + "step": 592 + }, + { + "epoch": 0.09883333333333333, + "grad_norm": 31.125, + "grad_norm_var": 3.7025390625, + "learning_rate": 9.761712881399164e-05, + "loss": 7.4159, + "loss/crossentropy": 1.4231205731630325, + "loss/hidden": 3.82421875, + "loss/jsd": 0.0, + "loss/logits": 0.24406572431325912, + "step": 593 + }, + { + "epoch": 0.099, + "grad_norm": 31.125, + "grad_norm_var": 3.5462890625, + "learning_rate": 9.760913660679515e-05, + "loss": 7.5347, + "loss/crossentropy": 1.8549748659133911, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.25112149119377136, + "step": 594 + }, + { + "epoch": 0.09916666666666667, + "grad_norm": 34.0, + "grad_norm_var": 3.856184895833333, + "learning_rate": 9.760113134728384e-05, + "loss": 7.5034, + "loss/crossentropy": 2.0482011437416077, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.23262568935751915, + "step": 595 + }, + { + "epoch": 0.09933333333333333, + "grad_norm": 31.375, + "grad_norm_var": 2.4518229166666665, + "learning_rate": 9.75931130376524e-05, + "loss": 6.9944, + "loss/crossentropy": 1.2663083150982857, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.10222736466675997, + "step": 596 + }, + { + "epoch": 0.0995, + "grad_norm": 33.75, + "grad_norm_var": 2.8372395833333335, + "learning_rate": 9.75850816800991e-05, + "loss": 7.3032, + "loss/crossentropy": 1.7903995215892792, + "loss/hidden": 3.89453125, + "loss/jsd": 0.0, + "loss/logits": 0.2412303052842617, + "step": 597 + }, + { + "epoch": 0.09966666666666667, + "grad_norm": 33.5, + "grad_norm_var": 3.093489583333333, + "learning_rate": 9.757703727682574e-05, + "loss": 7.4625, + "loss/crossentropy": 2.283373177051544, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.26123256236314774, + "step": 598 + }, + { + "epoch": 0.09983333333333333, + "grad_norm": 30.25, + "grad_norm_var": 3.1802083333333333, + "learning_rate": 9.756897983003781e-05, + "loss": 7.1114, + "loss/crossentropy": 1.7814842015504837, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2132834978401661, + "step": 599 + }, + { + "epoch": 0.1, + "grad_norm": 31.5, + "grad_norm_var": 3.178580729166667, + "learning_rate": 9.756090934194427e-05, + "loss": 7.3947, + "loss/crossentropy": 1.76243194937706, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.20218634605407715, + "step": 600 + }, + { + "epoch": 0.10016666666666667, + "grad_norm": 30.875, + "grad_norm_var": 2.937239583333333, + "learning_rate": 9.755282581475769e-05, + "loss": 7.3161, + "loss/crossentropy": 1.6957703530788422, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.16431233659386635, + "step": 601 + }, + { + "epoch": 0.10033333333333333, + "grad_norm": 31.5, + "grad_norm_var": 2.5228515625, + "learning_rate": 9.75447292506942e-05, + "loss": 7.0909, + "loss/crossentropy": 1.6883865594863892, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.16238689422607422, + "step": 602 + }, + { + "epoch": 0.1005, + "grad_norm": 30.875, + "grad_norm_var": 2.471875, + "learning_rate": 9.753661965197354e-05, + "loss": 7.434, + "loss/crossentropy": 2.007025808095932, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.25700215622782707, + "step": 603 + }, + { + "epoch": 0.10066666666666667, + "grad_norm": 30.5, + "grad_norm_var": 2.372916666666667, + "learning_rate": 9.752849702081901e-05, + "loss": 7.2278, + "loss/crossentropy": 2.1384987235069275, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.18107693642377853, + "step": 604 + }, + { + "epoch": 0.10083333333333333, + "grad_norm": 34.5, + "grad_norm_var": 2.0580729166666667, + "learning_rate": 9.752036135945744e-05, + "loss": 7.4111, + "loss/crossentropy": 1.9143229275941849, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.16873291693627834, + "step": 605 + }, + { + "epoch": 0.101, + "grad_norm": 34.0, + "grad_norm_var": 2.380989583333333, + "learning_rate": 9.751221267011929e-05, + "loss": 7.335, + "loss/crossentropy": 2.115232676267624, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.24951379001140594, + "step": 606 + }, + { + "epoch": 0.10116666666666667, + "grad_norm": 51.75, + "grad_norm_var": 26.980989583333333, + "learning_rate": 9.750405095503859e-05, + "loss": 7.6198, + "loss/crossentropy": 1.5640252828598022, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.16927756741642952, + "step": 607 + }, + { + "epoch": 0.10133333333333333, + "grad_norm": 33.25, + "grad_norm_var": 26.103059895833333, + "learning_rate": 9.749587621645288e-05, + "loss": 7.3387, + "loss/crossentropy": 1.8963924050331116, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.251237440854311, + "step": 608 + }, + { + "epoch": 0.1015, + "grad_norm": 28.875, + "grad_norm_var": 27.092122395833332, + "learning_rate": 9.748768845660334e-05, + "loss": 7.0424, + "loss/crossentropy": 1.470510482788086, + "loss/hidden": 3.80859375, + "loss/jsd": 0.0, + "loss/logits": 0.2107672020792961, + "step": 609 + }, + { + "epoch": 0.10166666666666667, + "grad_norm": 29.375, + "grad_norm_var": 27.773893229166667, + "learning_rate": 9.74794876777347e-05, + "loss": 7.4808, + "loss/crossentropy": 1.5921064913272858, + "loss/hidden": 4.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.2697357200086117, + "step": 610 + }, + { + "epoch": 0.10183333333333333, + "grad_norm": 28.375, + "grad_norm_var": 29.089322916666667, + "learning_rate": 9.74712738820952e-05, + "loss": 6.9466, + "loss/crossentropy": 1.3399248868227005, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.15232133492827415, + "step": 611 + }, + { + "epoch": 0.102, + "grad_norm": 28.25, + "grad_norm_var": 30.2791015625, + "learning_rate": 9.746304707193675e-05, + "loss": 7.1313, + "loss/crossentropy": 1.8080547451972961, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18052439764142036, + "step": 612 + }, + { + "epoch": 0.10216666666666667, + "grad_norm": 31.375, + "grad_norm_var": 30.258072916666666, + "learning_rate": 9.745480724951473e-05, + "loss": 7.5941, + "loss/crossentropy": 1.3583181947469711, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.17031322419643402, + "step": 613 + }, + { + "epoch": 0.10233333333333333, + "grad_norm": 31.625, + "grad_norm_var": 30.208268229166666, + "learning_rate": 9.744655441708818e-05, + "loss": 7.4358, + "loss/crossentropy": 1.250537633895874, + "loss/hidden": 4.171875, + "loss/jsd": 0.0, + "loss/logits": 0.2280135713517666, + "step": 614 + }, + { + "epoch": 0.1025, + "grad_norm": 32.25, + "grad_norm_var": 29.9103515625, + "learning_rate": 9.743828857691963e-05, + "loss": 7.3615, + "loss/crossentropy": 2.1062381863594055, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.17050448432564735, + "step": 615 + }, + { + "epoch": 0.10266666666666667, + "grad_norm": 142.0, + "grad_norm_var": 779.3535807291667, + "learning_rate": 9.743000973127523e-05, + "loss": 8.0423, + "loss/crossentropy": 1.8291618078947067, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.22066161036491394, + "step": 616 + }, + { + "epoch": 0.10283333333333333, + "grad_norm": 47.25, + "grad_norm_var": 777.6393229166666, + "learning_rate": 9.742171788242466e-05, + "loss": 7.6019, + "loss/crossentropy": 1.6715676486492157, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.28256499022245407, + "step": 617 + }, + { + "epoch": 0.103, + "grad_norm": 35.5, + "grad_norm_var": 773.9143229166667, + "learning_rate": 9.741341303264118e-05, + "loss": 7.0277, + "loss/crossentropy": 1.7895082533359528, + "loss/hidden": 3.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.20992443338036537, + "step": 618 + }, + { + "epoch": 0.10316666666666667, + "grad_norm": 31.125, + "grad_norm_var": 773.59375, + "learning_rate": 9.74050951842016e-05, + "loss": 7.3626, + "loss/crossentropy": 2.2063084542751312, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.2172108329832554, + "step": 619 + }, + { + "epoch": 0.10333333333333333, + "grad_norm": 29.625, + "grad_norm_var": 774.8228515625, + "learning_rate": 9.739676433938633e-05, + "loss": 7.0412, + "loss/crossentropy": 1.7916174978017807, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.22405482083559036, + "step": 620 + }, + { + "epoch": 0.1035, + "grad_norm": 31.5, + "grad_norm_var": 777.8134765625, + "learning_rate": 9.73884205004793e-05, + "loss": 7.8157, + "loss/crossentropy": 2.1516139805316925, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.20110300928354263, + "step": 621 + }, + { + "epoch": 0.10366666666666667, + "grad_norm": 31.0, + "grad_norm_var": 780.9291015625, + "learning_rate": 9.7380063669768e-05, + "loss": 7.1226, + "loss/crossentropy": 1.5412001609802246, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.18404862098395824, + "step": 622 + }, + { + "epoch": 0.10383333333333333, + "grad_norm": 32.0, + "grad_norm_var": 774.8806640625, + "learning_rate": 9.737169384954355e-05, + "loss": 7.4503, + "loss/crossentropy": 1.2898205816745758, + "loss/hidden": 3.8515625, + "loss/jsd": 0.0, + "loss/logits": 0.25114247761666775, + "step": 623 + }, + { + "epoch": 0.104, + "grad_norm": 31.375, + "grad_norm_var": 776.528125, + "learning_rate": 9.736331104210056e-05, + "loss": 7.4958, + "loss/crossentropy": 2.409509092569351, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.2068478837609291, + "step": 624 + }, + { + "epoch": 0.10416666666666667, + "grad_norm": 31.625, + "grad_norm_var": 773.3455729166667, + "learning_rate": 9.735491524973722e-05, + "loss": 7.438, + "loss/crossentropy": 1.5180833488702774, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.1766592413187027, + "step": 625 + }, + { + "epoch": 0.10433333333333333, + "grad_norm": 31.5, + "grad_norm_var": 770.8962890625, + "learning_rate": 9.73465064747553e-05, + "loss": 7.0654, + "loss/crossentropy": 1.275202915072441, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.13855969533324242, + "step": 626 + }, + { + "epoch": 0.1045, + "grad_norm": 30.125, + "grad_norm_var": 768.5738932291666, + "learning_rate": 9.73380847194601e-05, + "loss": 7.1306, + "loss/crossentropy": 1.3508297204971313, + "loss/hidden": 3.89453125, + "loss/jsd": 0.0, + "loss/logits": 0.19833296723663807, + "step": 627 + }, + { + "epoch": 0.10466666666666667, + "grad_norm": 33.25, + "grad_norm_var": 762.7978515625, + "learning_rate": 9.732964998616046e-05, + "loss": 7.5178, + "loss/crossentropy": 1.835921436548233, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15121160633862019, + "step": 628 + }, + { + "epoch": 0.10483333333333333, + "grad_norm": 32.25, + "grad_norm_var": 761.8895833333333, + "learning_rate": 9.732120227716888e-05, + "loss": 7.2138, + "loss/crossentropy": 1.433204710483551, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.13274148851633072, + "step": 629 + }, + { + "epoch": 0.105, + "grad_norm": 29.5, + "grad_norm_var": 764.4384765625, + "learning_rate": 9.73127415948013e-05, + "loss": 7.4102, + "loss/crossentropy": 2.046613782644272, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2395108975470066, + "step": 630 + }, + { + "epoch": 0.10516666666666667, + "grad_norm": 28.75, + "grad_norm_var": 768.5837890625, + "learning_rate": 9.730426794137727e-05, + "loss": 7.2557, + "loss/crossentropy": 1.1972267031669617, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.11847973614931107, + "step": 631 + }, + { + "epoch": 0.10533333333333333, + "grad_norm": 33.75, + "grad_norm_var": 18.2759765625, + "learning_rate": 9.72957813192199e-05, + "loss": 7.1137, + "loss/crossentropy": 1.4940354526042938, + "loss/hidden": 3.87109375, + "loss/jsd": 0.0, + "loss/logits": 0.2576959580183029, + "step": 632 + }, + { + "epoch": 0.1055, + "grad_norm": 33.25, + "grad_norm_var": 3.0072265625, + "learning_rate": 9.728728173065585e-05, + "loss": 7.5056, + "loss/crossentropy": 2.48933482170105, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.18084804341197014, + "step": 633 + }, + { + "epoch": 0.10566666666666667, + "grad_norm": 34.0, + "grad_norm_var": 2.3744140625, + "learning_rate": 9.72787691780153e-05, + "loss": 7.2325, + "loss/crossentropy": 1.2645312547683716, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.29484754242002964, + "step": 634 + }, + { + "epoch": 0.10583333333333333, + "grad_norm": 30.625, + "grad_norm_var": 2.4176432291666665, + "learning_rate": 9.727024366363206e-05, + "loss": 7.8715, + "loss/crossentropy": 1.912324070930481, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.4577797334641218, + "step": 635 + }, + { + "epoch": 0.106, + "grad_norm": 33.5, + "grad_norm_var": 2.3833333333333333, + "learning_rate": 9.726170518984341e-05, + "loss": 7.8196, + "loss/crossentropy": 1.9435686469078064, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.2176922857761383, + "step": 636 + }, + { + "epoch": 0.10616666666666667, + "grad_norm": 31.5, + "grad_norm_var": 2.3833333333333333, + "learning_rate": 9.725315375899024e-05, + "loss": 7.2167, + "loss/crossentropy": 1.6355883032083511, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.19487426057457924, + "step": 637 + }, + { + "epoch": 0.10633333333333334, + "grad_norm": 32.25, + "grad_norm_var": 2.3559895833333333, + "learning_rate": 9.724458937341698e-05, + "loss": 7.6199, + "loss/crossentropy": 1.9535970985889435, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.2554296776652336, + "step": 638 + }, + { + "epoch": 0.1065, + "grad_norm": 34.5, + "grad_norm_var": 2.80390625, + "learning_rate": 9.723601203547158e-05, + "loss": 7.4487, + "loss/crossentropy": 1.7397211343050003, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.16598396748304367, + "step": 639 + }, + { + "epoch": 0.10666666666666667, + "grad_norm": 32.5, + "grad_norm_var": 2.7916015625, + "learning_rate": 9.722742174750558e-05, + "loss": 7.1779, + "loss/crossentropy": 1.8731798231601715, + "loss/hidden": 3.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.2941042631864548, + "step": 640 + }, + { + "epoch": 0.10683333333333334, + "grad_norm": 30.0, + "grad_norm_var": 3.0497395833333334, + "learning_rate": 9.721881851187406e-05, + "loss": 7.215, + "loss/crossentropy": 1.6555385440587997, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.18280649557709694, + "step": 641 + }, + { + "epoch": 0.107, + "grad_norm": 35.5, + "grad_norm_var": 3.8080729166666667, + "learning_rate": 9.721020233093563e-05, + "loss": 7.3108, + "loss/crossentropy": 1.8831823766231537, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.18430525064468384, + "step": 642 + }, + { + "epoch": 0.10716666666666666, + "grad_norm": 30.375, + "grad_norm_var": 3.7427083333333333, + "learning_rate": 9.72015732070525e-05, + "loss": 7.0786, + "loss/crossentropy": 1.8577512204647064, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1396968588232994, + "step": 643 + }, + { + "epoch": 0.10733333333333334, + "grad_norm": 31.75, + "grad_norm_var": 3.6770833333333335, + "learning_rate": 9.719293114259033e-05, + "loss": 6.9481, + "loss/crossentropy": 1.5243144929409027, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.17269080504775047, + "step": 644 + }, + { + "epoch": 0.1075, + "grad_norm": 29.875, + "grad_norm_var": 3.9900390625, + "learning_rate": 9.718427613991848e-05, + "loss": 7.1693, + "loss/crossentropy": 1.1140879094600677, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.16539104841649532, + "step": 645 + }, + { + "epoch": 0.10766666666666666, + "grad_norm": 29.75, + "grad_norm_var": 3.911393229166667, + "learning_rate": 9.717560820140969e-05, + "loss": 7.503, + "loss/crossentropy": 1.3911971896886826, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.1835576556622982, + "step": 646 + }, + { + "epoch": 0.10783333333333334, + "grad_norm": 29.25, + "grad_norm_var": 3.7108723958333334, + "learning_rate": 9.716692732944035e-05, + "loss": 7.1375, + "loss/crossentropy": 1.6554150804877281, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.1653379462659359, + "step": 647 + }, + { + "epoch": 0.108, + "grad_norm": 32.75, + "grad_norm_var": 3.5431640625, + "learning_rate": 9.715823352639037e-05, + "loss": 7.4142, + "loss/crossentropy": 2.2835015952587128, + "loss/hidden": 3.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.2020583711564541, + "step": 648 + }, + { + "epoch": 0.10816666666666666, + "grad_norm": 31.375, + "grad_norm_var": 3.440625, + "learning_rate": 9.714952679464323e-05, + "loss": 7.3722, + "loss/crossentropy": 1.7637509107589722, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.12249446101486683, + "step": 649 + }, + { + "epoch": 0.10833333333333334, + "grad_norm": 32.0, + "grad_norm_var": 3.115625, + "learning_rate": 9.71408071365859e-05, + "loss": 7.4532, + "loss/crossentropy": 1.142805352807045, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1244389396160841, + "step": 650 + }, + { + "epoch": 0.1085, + "grad_norm": 29.25, + "grad_norm_var": 3.434309895833333, + "learning_rate": 9.713207455460894e-05, + "loss": 7.6449, + "loss/crossentropy": 1.4701527208089828, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.15961984731256962, + "step": 651 + }, + { + "epoch": 0.10866666666666666, + "grad_norm": 32.0, + "grad_norm_var": 3.2014973958333335, + "learning_rate": 9.71233290511064e-05, + "loss": 7.1868, + "loss/crossentropy": 1.9166098833084106, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.16668128222227097, + "step": 652 + }, + { + "epoch": 0.10883333333333334, + "grad_norm": 41.25, + "grad_norm_var": 9.092122395833334, + "learning_rate": 9.711457062847595e-05, + "loss": 7.2294, + "loss/crossentropy": 1.8596365749835968, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.15339374542236328, + "step": 653 + }, + { + "epoch": 0.109, + "grad_norm": 33.25, + "grad_norm_var": 9.1681640625, + "learning_rate": 9.710579928911876e-05, + "loss": 7.4448, + "loss/crossentropy": 1.525905817747116, + "loss/hidden": 3.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.1737709790468216, + "step": 654 + }, + { + "epoch": 0.10916666666666666, + "grad_norm": 30.875, + "grad_norm_var": 8.883072916666666, + "learning_rate": 9.709701503543954e-05, + "loss": 7.4211, + "loss/crossentropy": 1.5346709489822388, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.19532465934753418, + "step": 655 + }, + { + "epoch": 0.10933333333333334, + "grad_norm": 30.625, + "grad_norm_var": 8.973893229166666, + "learning_rate": 9.708821786984652e-05, + "loss": 7.2277, + "loss/crossentropy": 1.3570376336574554, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.1451853420585394, + "step": 656 + }, + { + "epoch": 0.1095, + "grad_norm": 36.0, + "grad_norm_var": 9.730143229166666, + "learning_rate": 9.707940779475151e-05, + "loss": 7.7429, + "loss/crossentropy": 1.5309327840805054, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.18355575948953629, + "step": 657 + }, + { + "epoch": 0.10966666666666666, + "grad_norm": 32.25, + "grad_norm_var": 8.978580729166667, + "learning_rate": 9.707058481256985e-05, + "loss": 7.267, + "loss/crossentropy": 1.7733177542686462, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.14523290283977985, + "step": 658 + }, + { + "epoch": 0.10983333333333334, + "grad_norm": 28.25, + "grad_norm_var": 9.732291666666667, + "learning_rate": 9.706174892572039e-05, + "loss": 7.0048, + "loss/crossentropy": 0.9952821731567383, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.15045959129929543, + "step": 659 + }, + { + "epoch": 0.11, + "grad_norm": 28.875, + "grad_norm_var": 10.3087890625, + "learning_rate": 9.705290013662556e-05, + "loss": 7.3332, + "loss/crossentropy": 1.9855782389640808, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.20127024874091148, + "step": 660 + }, + { + "epoch": 0.11016666666666666, + "grad_norm": 31.75, + "grad_norm_var": 10.065625, + "learning_rate": 9.704403844771128e-05, + "loss": 7.2978, + "loss/crossentropy": 1.6638555526733398, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.18440712057054043, + "step": 661 + }, + { + "epoch": 0.11033333333333334, + "grad_norm": 30.625, + "grad_norm_var": 9.869205729166667, + "learning_rate": 9.703516386140705e-05, + "loss": 7.3387, + "loss/crossentropy": 1.9379086792469025, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.1722083631902933, + "step": 662 + }, + { + "epoch": 0.1105, + "grad_norm": 29.625, + "grad_norm_var": 9.745572916666667, + "learning_rate": 9.70262763801459e-05, + "loss": 7.0218, + "loss/crossentropy": 1.532268926501274, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.1991143524646759, + "step": 663 + }, + { + "epoch": 0.11066666666666666, + "grad_norm": 30.5, + "grad_norm_var": 9.813541666666667, + "learning_rate": 9.701737600636436e-05, + "loss": 7.2071, + "loss/crossentropy": 1.3929783999919891, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.18860838934779167, + "step": 664 + }, + { + "epoch": 0.11083333333333334, + "grad_norm": 32.5, + "grad_norm_var": 9.831705729166666, + "learning_rate": 9.700846274250251e-05, + "loss": 7.6409, + "loss/crossentropy": 1.9433818459510803, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.20732827112078667, + "step": 665 + }, + { + "epoch": 0.111, + "grad_norm": 30.5, + "grad_norm_var": 9.942643229166666, + "learning_rate": 9.699953659100401e-05, + "loss": 7.0308, + "loss/crossentropy": 1.2917715013027191, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.19213541224598885, + "step": 666 + }, + { + "epoch": 0.11116666666666666, + "grad_norm": 31.375, + "grad_norm_var": 9.514322916666666, + "learning_rate": 9.699059755431598e-05, + "loss": 7.2249, + "loss/crossentropy": 1.8711410611867905, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.18579615280032158, + "step": 667 + }, + { + "epoch": 0.11133333333333334, + "grad_norm": 32.0, + "grad_norm_var": 9.514322916666666, + "learning_rate": 9.698164563488914e-05, + "loss": 7.1074, + "loss/crossentropy": 1.856014922261238, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.16111868992447853, + "step": 668 + }, + { + "epoch": 0.1115, + "grad_norm": 33.25, + "grad_norm_var": 3.530989583333333, + "learning_rate": 9.697268083517767e-05, + "loss": 7.3351, + "loss/crossentropy": 2.1788209080696106, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.27165431156754494, + "step": 669 + }, + { + "epoch": 0.11166666666666666, + "grad_norm": 30.125, + "grad_norm_var": 3.3666015625, + "learning_rate": 9.696370315763936e-05, + "loss": 7.4897, + "loss/crossentropy": 1.7634121179580688, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.25094933807849884, + "step": 670 + }, + { + "epoch": 0.11183333333333334, + "grad_norm": 31.5, + "grad_norm_var": 3.3643229166666666, + "learning_rate": 9.695471260473545e-05, + "loss": 7.36, + "loss/crossentropy": 1.8961014151573181, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.15150394663214684, + "step": 671 + }, + { + "epoch": 0.112, + "grad_norm": 30.5, + "grad_norm_var": 3.3754557291666667, + "learning_rate": 9.69457091789308e-05, + "loss": 7.5605, + "loss/crossentropy": 2.0419953167438507, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.2538929544389248, + "step": 672 + }, + { + "epoch": 0.11216666666666666, + "grad_norm": 30.5, + "grad_norm_var": 1.7655598958333334, + "learning_rate": 9.693669288269372e-05, + "loss": 7.4923, + "loss/crossentropy": 2.064723700284958, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.18939067423343658, + "step": 673 + }, + { + "epoch": 0.11233333333333333, + "grad_norm": 30.625, + "grad_norm_var": 1.634375, + "learning_rate": 9.692766371849606e-05, + "loss": 7.2448, + "loss/crossentropy": 1.8495427966117859, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1740853115916252, + "step": 674 + }, + { + "epoch": 0.1125, + "grad_norm": 31.625, + "grad_norm_var": 1.2072265625, + "learning_rate": 9.691862168881325e-05, + "loss": 6.9931, + "loss/crossentropy": 1.6820146292448044, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.15422948263585567, + "step": 675 + }, + { + "epoch": 0.11266666666666666, + "grad_norm": 30.5, + "grad_norm_var": 0.9135416666666667, + "learning_rate": 9.690956679612421e-05, + "loss": 7.205, + "loss/crossentropy": 1.7395752966403961, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.20282979309558868, + "step": 676 + }, + { + "epoch": 0.11283333333333333, + "grad_norm": 30.5, + "grad_norm_var": 0.9018229166666667, + "learning_rate": 9.690049904291139e-05, + "loss": 8.064, + "loss/crossentropy": 1.8543930053710938, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.18171074986457825, + "step": 677 + }, + { + "epoch": 0.113, + "grad_norm": 28.25, + "grad_norm_var": 1.3780598958333334, + "learning_rate": 9.689141843166074e-05, + "loss": 7.3536, + "loss/crossentropy": 1.9578366875648499, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.20767145231366158, + "step": 678 + }, + { + "epoch": 0.11316666666666667, + "grad_norm": 29.875, + "grad_norm_var": 1.3405598958333333, + "learning_rate": 9.688232496486178e-05, + "loss": 7.2639, + "loss/crossentropy": 2.4087424874305725, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.19602132216095924, + "step": 679 + }, + { + "epoch": 0.11333333333333333, + "grad_norm": 30.75, + "grad_norm_var": 1.3317057291666667, + "learning_rate": 9.687321864500755e-05, + "loss": 7.4667, + "loss/crossentropy": 1.4875228255987167, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.15017814375460148, + "step": 680 + }, + { + "epoch": 0.1135, + "grad_norm": 32.5, + "grad_norm_var": 1.3317057291666667, + "learning_rate": 9.686409947459458e-05, + "loss": 7.6094, + "loss/crossentropy": 2.1256344318389893, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.23931212723255157, + "step": 681 + }, + { + "epoch": 0.11366666666666667, + "grad_norm": 36.75, + "grad_norm_var": 3.4410807291666665, + "learning_rate": 9.685496745612295e-05, + "loss": 7.2968, + "loss/crossentropy": 1.9394277036190033, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.17435170337557793, + "step": 682 + }, + { + "epoch": 0.11383333333333333, + "grad_norm": 33.25, + "grad_norm_var": 3.6822916666666665, + "learning_rate": 9.684582259209624e-05, + "loss": 7.4703, + "loss/crossentropy": 2.1526367366313934, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.18739807233214378, + "step": 683 + }, + { + "epoch": 0.114, + "grad_norm": 30.0, + "grad_norm_var": 3.7739583333333333, + "learning_rate": 9.683666488502158e-05, + "loss": 7.0513, + "loss/crossentropy": 1.5884509682655334, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.1915692798793316, + "step": 684 + }, + { + "epoch": 0.11416666666666667, + "grad_norm": 30.75, + "grad_norm_var": 3.5083333333333333, + "learning_rate": 9.682749433740962e-05, + "loss": 7.1726, + "loss/crossentropy": 1.665308564901352, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.17285103723406792, + "step": 685 + }, + { + "epoch": 0.11433333333333333, + "grad_norm": 33.25, + "grad_norm_var": 3.702018229166667, + "learning_rate": 9.68183109517745e-05, + "loss": 7.5115, + "loss/crossentropy": 2.2219296991825104, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.17908718809485435, + "step": 686 + }, + { + "epoch": 0.1145, + "grad_norm": 30.125, + "grad_norm_var": 3.787239583333333, + "learning_rate": 9.68091147306339e-05, + "loss": 7.5444, + "loss/crossentropy": 1.3817338794469833, + "loss/hidden": 3.875, + "loss/jsd": 0.0, + "loss/logits": 0.24499402940273285, + "step": 687 + }, + { + "epoch": 0.11466666666666667, + "grad_norm": 42.25, + "grad_norm_var": 11.265625, + "learning_rate": 9.6799905676509e-05, + "loss": 7.4661, + "loss/crossentropy": 1.3822373747825623, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.24674061685800552, + "step": 688 + }, + { + "epoch": 0.11483333333333333, + "grad_norm": 30.75, + "grad_norm_var": 11.220572916666667, + "learning_rate": 9.679068379192456e-05, + "loss": 7.2038, + "loss/crossentropy": 1.2653769254684448, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.23560648038983345, + "step": 689 + }, + { + "epoch": 0.115, + "grad_norm": 30.125, + "grad_norm_var": 11.326822916666666, + "learning_rate": 9.678144907940876e-05, + "loss": 7.1295, + "loss/crossentropy": 1.3056302964687347, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.16892738826572895, + "step": 690 + }, + { + "epoch": 0.11516666666666667, + "grad_norm": 29.125, + "grad_norm_var": 11.826822916666666, + "learning_rate": 9.677220154149337e-05, + "loss": 7.369, + "loss/crossentropy": 2.204236626625061, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.2106693685054779, + "step": 691 + }, + { + "epoch": 0.11533333333333333, + "grad_norm": 30.0, + "grad_norm_var": 11.92890625, + "learning_rate": 9.676294118071367e-05, + "loss": 7.444, + "loss/crossentropy": 1.4087094068527222, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.25383753329515457, + "step": 692 + }, + { + "epoch": 0.1155, + "grad_norm": 29.125, + "grad_norm_var": 12.2791015625, + "learning_rate": 9.675366799960841e-05, + "loss": 7.1626, + "loss/crossentropy": 1.372077763080597, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.16764922067523003, + "step": 693 + }, + { + "epoch": 0.11566666666666667, + "grad_norm": 32.75, + "grad_norm_var": 11.4869140625, + "learning_rate": 9.674438200071991e-05, + "loss": 7.2944, + "loss/crossentropy": 1.6388816386461258, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.2240111120045185, + "step": 694 + }, + { + "epoch": 0.11583333333333333, + "grad_norm": 30.25, + "grad_norm_var": 11.39140625, + "learning_rate": 9.6735083186594e-05, + "loss": 7.6349, + "loss/crossentropy": 1.794825941324234, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1945985034108162, + "step": 695 + }, + { + "epoch": 0.116, + "grad_norm": 32.5, + "grad_norm_var": 11.294791666666667, + "learning_rate": 9.672577155977993e-05, + "loss": 7.3889, + "loss/crossentropy": 1.771435633301735, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.18000315874814987, + "step": 696 + }, + { + "epoch": 0.11616666666666667, + "grad_norm": 30.25, + "grad_norm_var": 11.489322916666667, + "learning_rate": 9.671644712283061e-05, + "loss": 6.8488, + "loss/crossentropy": 1.3064327538013458, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.17428554967045784, + "step": 697 + }, + { + "epoch": 0.11633333333333333, + "grad_norm": 29.625, + "grad_norm_var": 10.105143229166666, + "learning_rate": 9.670710987830233e-05, + "loss": 7.0415, + "loss/crossentropy": 2.0627946108579636, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.21828969940543175, + "step": 698 + }, + { + "epoch": 0.1165, + "grad_norm": 37.25, + "grad_norm_var": 12.034309895833333, + "learning_rate": 9.669775982875501e-05, + "loss": 7.2626, + "loss/crossentropy": 1.859133243560791, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.1761200949549675, + "step": 699 + }, + { + "epoch": 0.11666666666666667, + "grad_norm": 33.5, + "grad_norm_var": 11.979622395833333, + "learning_rate": 9.668839697675196e-05, + "loss": 7.4687, + "loss/crossentropy": 1.504253938794136, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.20222976431250572, + "step": 700 + }, + { + "epoch": 0.11683333333333333, + "grad_norm": 33.0, + "grad_norm_var": 11.928059895833334, + "learning_rate": 9.667902132486009e-05, + "loss": 7.4905, + "loss/crossentropy": 1.32832533121109, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.18155817314982414, + "step": 701 + }, + { + "epoch": 0.117, + "grad_norm": 29.875, + "grad_norm_var": 12.130208333333334, + "learning_rate": 9.666963287564979e-05, + "loss": 7.6311, + "loss/crossentropy": 1.641435131430626, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.20181964337825775, + "step": 702 + }, + { + "epoch": 0.11716666666666667, + "grad_norm": 30.0, + "grad_norm_var": 12.160872395833334, + "learning_rate": 9.666023163169493e-05, + "loss": 7.0104, + "loss/crossentropy": 1.3292317688465118, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1403409019112587, + "step": 703 + }, + { + "epoch": 0.11733333333333333, + "grad_norm": 30.875, + "grad_norm_var": 4.547916666666667, + "learning_rate": 9.665081759557295e-05, + "loss": 8.0035, + "loss/crossentropy": 2.21759694814682, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.271518062800169, + "step": 704 + }, + { + "epoch": 0.1175, + "grad_norm": 30.875, + "grad_norm_var": 4.5416015625, + "learning_rate": 9.664139076986473e-05, + "loss": 7.3329, + "loss/crossentropy": 1.9011651873588562, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.184487696737051, + "step": 705 + }, + { + "epoch": 0.11766666666666667, + "grad_norm": 31.375, + "grad_norm_var": 4.460872395833333, + "learning_rate": 9.663195115715471e-05, + "loss": 7.7688, + "loss/crossentropy": 2.1999647319316864, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.23816713690757751, + "step": 706 + }, + { + "epoch": 0.11783333333333333, + "grad_norm": 34.25, + "grad_norm_var": 4.634375, + "learning_rate": 9.66224987600308e-05, + "loss": 7.6553, + "loss/crossentropy": 1.5069388449192047, + "loss/hidden": 4.21875, + "loss/jsd": 0.0, + "loss/logits": 0.32512833178043365, + "step": 707 + }, + { + "epoch": 0.118, + "grad_norm": 29.625, + "grad_norm_var": 4.7228515625, + "learning_rate": 9.661303358108445e-05, + "loss": 6.9435, + "loss/crossentropy": 1.475489467382431, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.16300288774073124, + "step": 708 + }, + { + "epoch": 0.11816666666666667, + "grad_norm": 32.0, + "grad_norm_var": 4.302083333333333, + "learning_rate": 9.660355562291055e-05, + "loss": 6.8902, + "loss/crossentropy": 1.5365915447473526, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.14909449964761734, + "step": 709 + }, + { + "epoch": 0.11833333333333333, + "grad_norm": 32.5, + "grad_norm_var": 4.27265625, + "learning_rate": 9.659406488810759e-05, + "loss": 7.1034, + "loss/crossentropy": 1.4892998337745667, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.22402291372418404, + "step": 710 + }, + { + "epoch": 0.1185, + "grad_norm": 31.75, + "grad_norm_var": 4.11640625, + "learning_rate": 9.658456137927745e-05, + "loss": 7.6042, + "loss/crossentropy": 1.8311169147491455, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.20424065738916397, + "step": 711 + }, + { + "epoch": 0.11866666666666667, + "grad_norm": 30.75, + "grad_norm_var": 4.151041666666667, + "learning_rate": 9.657504509902562e-05, + "loss": 7.231, + "loss/crossentropy": 1.7308376729488373, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.2392408549785614, + "step": 712 + }, + { + "epoch": 0.11883333333333333, + "grad_norm": 30.75, + "grad_norm_var": 4.06875, + "learning_rate": 9.656551604996102e-05, + "loss": 7.6568, + "loss/crossentropy": 1.7638636529445648, + "loss/hidden": 4.171875, + "loss/jsd": 0.0, + "loss/logits": 0.2292976714670658, + "step": 713 + }, + { + "epoch": 0.119, + "grad_norm": 31.125, + "grad_norm_var": 3.784375, + "learning_rate": 9.655597423469609e-05, + "loss": 7.1736, + "loss/crossentropy": 1.7928911745548248, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.18390469625592232, + "step": 714 + }, + { + "epoch": 0.11916666666666667, + "grad_norm": 34.25, + "grad_norm_var": 2.184375, + "learning_rate": 9.654641965584678e-05, + "loss": 7.4753, + "loss/crossentropy": 1.7224461138248444, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.19840865582227707, + "step": 715 + }, + { + "epoch": 0.11933333333333333, + "grad_norm": 30.375, + "grad_norm_var": 2.026497395833333, + "learning_rate": 9.653685231603256e-05, + "loss": 7.4207, + "loss/crossentropy": 2.0060774981975555, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.2470613420009613, + "step": 716 + }, + { + "epoch": 0.1195, + "grad_norm": 29.25, + "grad_norm_var": 2.135872395833333, + "learning_rate": 9.652727221787631e-05, + "loss": 7.0611, + "loss/crossentropy": 1.905442088842392, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.17968276515603065, + "step": 717 + }, + { + "epoch": 0.11966666666666667, + "grad_norm": 32.25, + "grad_norm_var": 2.060416666666667, + "learning_rate": 9.65176793640045e-05, + "loss": 7.6799, + "loss/crossentropy": 1.8074587881565094, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.18332719430327415, + "step": 718 + }, + { + "epoch": 0.11983333333333333, + "grad_norm": 29.875, + "grad_norm_var": 2.0843098958333335, + "learning_rate": 9.650807375704708e-05, + "loss": 7.265, + "loss/crossentropy": 2.222355842590332, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.20805594697594643, + "step": 719 + }, + { + "epoch": 0.12, + "grad_norm": 29.5, + "grad_norm_var": 2.292708333333333, + "learning_rate": 9.649845539963747e-05, + "loss": 7.3168, + "loss/crossentropy": 1.362179696559906, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.1665158737450838, + "step": 720 + }, + { + "epoch": 0.12016666666666667, + "grad_norm": 34.25, + "grad_norm_var": 2.8218098958333333, + "learning_rate": 9.648882429441257e-05, + "loss": 7.4782, + "loss/crossentropy": 1.5363773852586746, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.1421268694102764, + "step": 721 + }, + { + "epoch": 0.12033333333333333, + "grad_norm": 30.25, + "grad_norm_var": 2.9184895833333333, + "learning_rate": 9.647918044401285e-05, + "loss": 7.3579, + "loss/crossentropy": 2.0128808319568634, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.19340229779481888, + "step": 722 + }, + { + "epoch": 0.1205, + "grad_norm": 33.25, + "grad_norm_var": 2.60390625, + "learning_rate": 9.646952385108218e-05, + "loss": 7.5683, + "loss/crossentropy": 1.2376703917980194, + "loss/hidden": 4.21875, + "loss/jsd": 0.0, + "loss/logits": 0.24080761522054672, + "step": 723 + }, + { + "epoch": 0.12066666666666667, + "grad_norm": 30.125, + "grad_norm_var": 2.50390625, + "learning_rate": 9.645985451826803e-05, + "loss": 7.3693, + "loss/crossentropy": 2.0515187084674835, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17883748933672905, + "step": 724 + }, + { + "epoch": 0.12083333333333333, + "grad_norm": 33.75, + "grad_norm_var": 2.8375, + "learning_rate": 9.645017244822123e-05, + "loss": 7.7341, + "loss/crossentropy": 1.279893919825554, + "loss/hidden": 3.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.2662294916808605, + "step": 725 + }, + { + "epoch": 0.121, + "grad_norm": 35.75, + "grad_norm_var": 3.9309895833333335, + "learning_rate": 9.644047764359622e-05, + "loss": 7.4369, + "loss/crossentropy": 1.72224622964859, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.16291150823235512, + "step": 726 + }, + { + "epoch": 0.12116666666666667, + "grad_norm": 31.5, + "grad_norm_var": 3.933333333333333, + "learning_rate": 9.643077010705087e-05, + "loss": 7.0033, + "loss/crossentropy": 1.627916619181633, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.19500724971294403, + "step": 727 + }, + { + "epoch": 0.12133333333333333, + "grad_norm": 29.5, + "grad_norm_var": 4.187239583333334, + "learning_rate": 9.642104984124656e-05, + "loss": 7.1655, + "loss/crossentropy": 1.731247067451477, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.16741443425416946, + "step": 728 + }, + { + "epoch": 0.1215, + "grad_norm": 32.5, + "grad_norm_var": 4.178125, + "learning_rate": 9.641131684884817e-05, + "loss": 7.227, + "loss/crossentropy": 2.0340212881565094, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.1663869433104992, + "step": 729 + }, + { + "epoch": 0.12166666666666667, + "grad_norm": 33.75, + "grad_norm_var": 4.4009765625, + "learning_rate": 9.640157113252403e-05, + "loss": 7.5722, + "loss/crossentropy": 1.8398717641830444, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.15602401085197926, + "step": 730 + }, + { + "epoch": 0.12183333333333334, + "grad_norm": 30.5, + "grad_norm_var": 4.0962890625, + "learning_rate": 9.6391812694946e-05, + "loss": 7.4194, + "loss/crossentropy": 2.0755681097507477, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.18884403258562088, + "step": 731 + }, + { + "epoch": 0.122, + "grad_norm": 31.625, + "grad_norm_var": 3.981705729166667, + "learning_rate": 9.63820415387894e-05, + "loss": 6.9202, + "loss/crossentropy": 2.044442892074585, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.1960710808634758, + "step": 732 + }, + { + "epoch": 0.12216666666666667, + "grad_norm": 39.75, + "grad_norm_var": 7.405143229166667, + "learning_rate": 9.637225766673307e-05, + "loss": 7.4404, + "loss/crossentropy": 1.885232001543045, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.18598414212465286, + "step": 733 + }, + { + "epoch": 0.12233333333333334, + "grad_norm": 31.5, + "grad_norm_var": 7.453580729166666, + "learning_rate": 9.636246108145929e-05, + "loss": 7.172, + "loss/crossentropy": 1.3374506533145905, + "loss/hidden": 4.05859375, + "loss/jsd": 0.0, + "loss/logits": 0.1551193678751588, + "step": 734 + }, + { + "epoch": 0.1225, + "grad_norm": 30.625, + "grad_norm_var": 7.242643229166666, + "learning_rate": 9.635265178565385e-05, + "loss": 7.0339, + "loss/crossentropy": 1.5045725405216217, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.19045464508235455, + "step": 735 + }, + { + "epoch": 0.12266666666666666, + "grad_norm": 31.375, + "grad_norm_var": 6.741666666666666, + "learning_rate": 9.634282978200604e-05, + "loss": 7.8247, + "loss/crossentropy": 1.854149729013443, + "loss/hidden": 3.72265625, + "loss/jsd": 0.0, + "loss/logits": 0.25182773917913437, + "step": 736 + }, + { + "epoch": 0.12283333333333334, + "grad_norm": 29.875, + "grad_norm_var": 6.917122395833333, + "learning_rate": 9.63329950732086e-05, + "loss": 7.5027, + "loss/crossentropy": 1.5925196409225464, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.197333712130785, + "step": 737 + }, + { + "epoch": 0.123, + "grad_norm": 29.375, + "grad_norm_var": 7.195572916666666, + "learning_rate": 9.632314766195781e-05, + "loss": 7.0563, + "loss/crossentropy": 1.354059174656868, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.21647107601165771, + "step": 738 + }, + { + "epoch": 0.12316666666666666, + "grad_norm": 31.375, + "grad_norm_var": 7.145768229166666, + "learning_rate": 9.631328755095333e-05, + "loss": 7.8115, + "loss/crossentropy": 1.5845647156238556, + "loss/hidden": 3.7734375, + "loss/jsd": 0.0, + "loss/logits": 0.21428315714001656, + "step": 739 + }, + { + "epoch": 0.12333333333333334, + "grad_norm": 31.625, + "grad_norm_var": 6.900455729166667, + "learning_rate": 9.630341474289842e-05, + "loss": 7.2536, + "loss/crossentropy": 2.305964082479477, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.17266706749796867, + "step": 740 + }, + { + "epoch": 0.1235, + "grad_norm": 30.875, + "grad_norm_var": 6.803125, + "learning_rate": 9.629352924049975e-05, + "loss": 6.9382, + "loss/crossentropy": 1.4626246094703674, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.17279667034745216, + "step": 741 + }, + { + "epoch": 0.12366666666666666, + "grad_norm": 31.875, + "grad_norm_var": 5.787955729166667, + "learning_rate": 9.628363104646747e-05, + "loss": 7.1037, + "loss/crossentropy": 1.7452305853366852, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.15795812010765076, + "step": 742 + }, + { + "epoch": 0.12383333333333334, + "grad_norm": 31.125, + "grad_norm_var": 5.808072916666666, + "learning_rate": 9.627372016351524e-05, + "loss": 7.7238, + "loss/crossentropy": 1.6585390865802765, + "loss/hidden": 4.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.3405285645276308, + "step": 743 + }, + { + "epoch": 0.124, + "grad_norm": 29.5, + "grad_norm_var": 5.808072916666666, + "learning_rate": 9.626379659436017e-05, + "loss": 7.1142, + "loss/crossentropy": 1.8966160714626312, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.16098260693252087, + "step": 744 + }, + { + "epoch": 0.12416666666666666, + "grad_norm": 33.25, + "grad_norm_var": 5.922916666666667, + "learning_rate": 9.62538603417229e-05, + "loss": 7.7227, + "loss/crossentropy": 2.1238047182559967, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.21814902126789093, + "step": 745 + }, + { + "epoch": 0.12433333333333334, + "grad_norm": 31.625, + "grad_norm_var": 5.6384765625, + "learning_rate": 9.624391140832749e-05, + "loss": 7.2153, + "loss/crossentropy": 2.1036722362041473, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.17869900166988373, + "step": 746 + }, + { + "epoch": 0.1245, + "grad_norm": 32.5, + "grad_norm_var": 5.590559895833334, + "learning_rate": 9.623394979690147e-05, + "loss": 7.7132, + "loss/crossentropy": 2.0859395265579224, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.2453242838382721, + "step": 747 + }, + { + "epoch": 0.12466666666666666, + "grad_norm": 30.0, + "grad_norm_var": 5.780989583333334, + "learning_rate": 9.622397551017592e-05, + "loss": 7.3756, + "loss/crossentropy": 1.7348367422819138, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.19312499463558197, + "step": 748 + }, + { + "epoch": 0.12483333333333334, + "grad_norm": 32.75, + "grad_norm_var": 1.2747395833333333, + "learning_rate": 9.62139885508853e-05, + "loss": 7.5056, + "loss/crossentropy": 1.5878428667783737, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2139638438820839, + "step": 749 + }, + { + "epoch": 0.125, + "grad_norm": 30.75, + "grad_norm_var": 1.2802083333333334, + "learning_rate": 9.620398892176762e-05, + "loss": 7.2773, + "loss/crossentropy": 2.146966904401779, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2128700651228428, + "step": 750 + }, + { + "epoch": 0.12516666666666668, + "grad_norm": 36.25, + "grad_norm_var": 2.8593098958333334, + "learning_rate": 9.619397662556435e-05, + "loss": 7.059, + "loss/crossentropy": 2.31913298368454, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1911771148443222, + "step": 751 + }, + { + "epoch": 0.12533333333333332, + "grad_norm": 32.0, + "grad_norm_var": 2.87265625, + "learning_rate": 9.618395166502037e-05, + "loss": 7.4854, + "loss/crossentropy": 2.0824431777000427, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17100967466831207, + "step": 752 + }, + { + "epoch": 0.1255, + "grad_norm": 29.5, + "grad_norm_var": 2.9650390625, + "learning_rate": 9.617391404288412e-05, + "loss": 7.0463, + "loss/crossentropy": 1.428141564130783, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.15233214199543, + "step": 753 + }, + { + "epoch": 0.12566666666666668, + "grad_norm": 31.25, + "grad_norm_var": 2.64765625, + "learning_rate": 9.616386376190745e-05, + "loss": 7.5695, + "loss/crossentropy": 1.6996584981679916, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.2763388231396675, + "step": 754 + }, + { + "epoch": 0.12583333333333332, + "grad_norm": 28.0, + "grad_norm_var": 3.4791015625, + "learning_rate": 9.615380082484571e-05, + "loss": 6.7122, + "loss/crossentropy": 1.0766998827457428, + "loss/hidden": 3.9375, + "loss/jsd": 0.0, + "loss/logits": 0.15450757928192616, + "step": 755 + }, + { + "epoch": 0.126, + "grad_norm": 31.75, + "grad_norm_var": 3.4833333333333334, + "learning_rate": 9.614372523445771e-05, + "loss": 7.1857, + "loss/crossentropy": 1.817079246044159, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.16611116006970406, + "step": 756 + }, + { + "epoch": 0.12616666666666668, + "grad_norm": 32.75, + "grad_norm_var": 3.5624348958333334, + "learning_rate": 9.613363699350575e-05, + "loss": 7.4296, + "loss/crossentropy": 1.7987887412309647, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.26039841026067734, + "step": 757 + }, + { + "epoch": 0.12633333333333333, + "grad_norm": 33.25, + "grad_norm_var": 3.7393229166666666, + "learning_rate": 9.612353610475555e-05, + "loss": 7.2079, + "loss/crossentropy": 1.636172592639923, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.28059282898902893, + "step": 758 + }, + { + "epoch": 0.1265, + "grad_norm": 32.0, + "grad_norm_var": 3.7270182291666667, + "learning_rate": 9.611342257097632e-05, + "loss": 7.6725, + "loss/crossentropy": 1.7025777101516724, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.22375576198101044, + "step": 759 + }, + { + "epoch": 0.12666666666666668, + "grad_norm": 31.125, + "grad_norm_var": 3.41640625, + "learning_rate": 9.610329639494076e-05, + "loss": 7.2483, + "loss/crossentropy": 1.4852552711963654, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.12246158346533775, + "step": 760 + }, + { + "epoch": 0.12683333333333333, + "grad_norm": 33.25, + "grad_norm_var": 3.41640625, + "learning_rate": 9.609315757942503e-05, + "loss": 7.6427, + "loss/crossentropy": 1.6396119594573975, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.17656655423343182, + "step": 761 + }, + { + "epoch": 0.127, + "grad_norm": 32.25, + "grad_norm_var": 3.426497395833333, + "learning_rate": 9.608300612720873e-05, + "loss": 6.9386, + "loss/crossentropy": 1.6664634048938751, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.14652318321168423, + "step": 762 + }, + { + "epoch": 0.12716666666666668, + "grad_norm": 32.5, + "grad_norm_var": 3.426497395833333, + "learning_rate": 9.607284204107493e-05, + "loss": 7.4406, + "loss/crossentropy": 1.963476911187172, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.2003205232322216, + "step": 763 + }, + { + "epoch": 0.12733333333333333, + "grad_norm": 30.625, + "grad_norm_var": 3.2979166666666666, + "learning_rate": 9.606266532381018e-05, + "loss": 7.626, + "loss/crossentropy": 2.132770359516144, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.29830845817923546, + "step": 764 + }, + { + "epoch": 0.1275, + "grad_norm": 32.75, + "grad_norm_var": 3.2979166666666666, + "learning_rate": 9.605247597820448e-05, + "loss": 7.5946, + "loss/crossentropy": 1.7848630100488663, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16466624289751053, + "step": 765 + }, + { + "epoch": 0.12766666666666668, + "grad_norm": 34.25, + "grad_norm_var": 3.5385416666666667, + "learning_rate": 9.604227400705133e-05, + "loss": 7.128, + "loss/crossentropy": 1.4399634450674057, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.132892943918705, + "step": 766 + }, + { + "epoch": 0.12783333333333333, + "grad_norm": 30.625, + "grad_norm_var": 2.3988932291666667, + "learning_rate": 9.603205941314758e-05, + "loss": 7.654, + "loss/crossentropy": 1.9748166501522064, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.20235471427440643, + "step": 767 + }, + { + "epoch": 0.128, + "grad_norm": 31.875, + "grad_norm_var": 2.3955729166666666, + "learning_rate": 9.602183219929371e-05, + "loss": 7.4369, + "loss/crossentropy": 1.3751680850982666, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.1863851323723793, + "step": 768 + }, + { + "epoch": 0.12816666666666668, + "grad_norm": 30.375, + "grad_norm_var": 2.182747395833333, + "learning_rate": 9.601159236829352e-05, + "loss": 7.2643, + "loss/crossentropy": 1.8310846090316772, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.15661721490323544, + "step": 769 + }, + { + "epoch": 0.12833333333333333, + "grad_norm": 33.5, + "grad_norm_var": 2.3374348958333333, + "learning_rate": 9.600133992295433e-05, + "loss": 7.4976, + "loss/crossentropy": 1.678751677274704, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.26620662584900856, + "step": 770 + }, + { + "epoch": 0.1285, + "grad_norm": 31.125, + "grad_norm_var": 1.3104166666666666, + "learning_rate": 9.599107486608689e-05, + "loss": 7.1742, + "loss/crossentropy": 1.8843847960233688, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.14782699570059776, + "step": 771 + }, + { + "epoch": 0.12866666666666668, + "grad_norm": 34.5, + "grad_norm_var": 1.6455729166666666, + "learning_rate": 9.598079720050544e-05, + "loss": 7.3332, + "loss/crossentropy": 2.1146110594272614, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2215891145169735, + "step": 772 + }, + { + "epoch": 0.12883333333333333, + "grad_norm": 29.5, + "grad_norm_var": 2.109375, + "learning_rate": 9.597050692902765e-05, + "loss": 7.2207, + "loss/crossentropy": 2.3083147406578064, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.20275061577558517, + "step": 773 + }, + { + "epoch": 0.129, + "grad_norm": 30.875, + "grad_norm_var": 2.0957682291666666, + "learning_rate": 9.596020405447466e-05, + "loss": 7.2527, + "loss/crossentropy": 1.648669645190239, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.19592230394482613, + "step": 774 + }, + { + "epoch": 0.12916666666666668, + "grad_norm": 30.625, + "grad_norm_var": 2.20390625, + "learning_rate": 9.594988857967106e-05, + "loss": 7.4228, + "loss/crossentropy": 1.8587908148765564, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.28279590234160423, + "step": 775 + }, + { + "epoch": 0.12933333333333333, + "grad_norm": 29.125, + "grad_norm_var": 2.6497395833333335, + "learning_rate": 9.593956050744492e-05, + "loss": 7.4491, + "loss/crossentropy": 1.4063522219657898, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.2254265546798706, + "step": 776 + }, + { + "epoch": 0.1295, + "grad_norm": 28.875, + "grad_norm_var": 2.9619140625, + "learning_rate": 9.59292198406277e-05, + "loss": 7.1803, + "loss/crossentropy": 2.2121740579605103, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.20930473133921623, + "step": 777 + }, + { + "epoch": 0.12966666666666668, + "grad_norm": 30.625, + "grad_norm_var": 2.9559895833333334, + "learning_rate": 9.591886658205438e-05, + "loss": 7.3083, + "loss/crossentropy": 2.3242568969726562, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.18255580589175224, + "step": 778 + }, + { + "epoch": 0.12983333333333333, + "grad_norm": 30.75, + "grad_norm_var": 2.88125, + "learning_rate": 9.590850073456336e-05, + "loss": 7.064, + "loss/crossentropy": 1.8441268801689148, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.2616273760795593, + "step": 779 + }, + { + "epoch": 0.13, + "grad_norm": 34.5, + "grad_norm_var": 3.496809895833333, + "learning_rate": 9.589812230099649e-05, + "loss": 7.2112, + "loss/crossentropy": 1.279086783528328, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.2156633324921131, + "step": 780 + }, + { + "epoch": 0.13016666666666668, + "grad_norm": 29.0, + "grad_norm_var": 3.746809895833333, + "learning_rate": 9.588773128419906e-05, + "loss": 6.8557, + "loss/crossentropy": 1.6915069222450256, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1882520094513893, + "step": 781 + }, + { + "epoch": 0.13033333333333333, + "grad_norm": 30.75, + "grad_norm_var": 3.116080729166667, + "learning_rate": 9.587732768701986e-05, + "loss": 6.9332, + "loss/crossentropy": 2.2176692485809326, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.1980743519961834, + "step": 782 + }, + { + "epoch": 0.1305, + "grad_norm": 31.25, + "grad_norm_var": 3.1059895833333333, + "learning_rate": 9.586691151231107e-05, + "loss": 7.5209, + "loss/crossentropy": 1.8367903232574463, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.19657382927834988, + "step": 783 + }, + { + "epoch": 0.13066666666666665, + "grad_norm": 28.625, + "grad_norm_var": 3.4208333333333334, + "learning_rate": 9.585648276292836e-05, + "loss": 7.2173, + "loss/crossentropy": 1.5557065308094025, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.20581690594553947, + "step": 784 + }, + { + "epoch": 0.13083333333333333, + "grad_norm": 31.125, + "grad_norm_var": 3.405989583333333, + "learning_rate": 9.584604144173083e-05, + "loss": 7.4191, + "loss/crossentropy": 1.658543512225151, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.16221168637275696, + "step": 785 + }, + { + "epoch": 0.131, + "grad_norm": 29.875, + "grad_norm_var": 2.981184895833333, + "learning_rate": 9.5835587551581e-05, + "loss": 7.1631, + "loss/crossentropy": 1.5449568629264832, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.1926671303808689, + "step": 786 + }, + { + "epoch": 0.13116666666666665, + "grad_norm": 30.5, + "grad_norm_var": 2.9697916666666666, + "learning_rate": 9.58251210953449e-05, + "loss": 7.1555, + "loss/crossentropy": 1.889558732509613, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.21849562227725983, + "step": 787 + }, + { + "epoch": 0.13133333333333333, + "grad_norm": 31.375, + "grad_norm_var": 1.9785807291666666, + "learning_rate": 9.581464207589195e-05, + "loss": 7.1529, + "loss/crossentropy": 1.3312578797340393, + "loss/hidden": 4.140625, + "loss/jsd": 0.0, + "loss/logits": 0.1593394074589014, + "step": 788 + }, + { + "epoch": 0.1315, + "grad_norm": 31.5, + "grad_norm_var": 1.9723307291666667, + "learning_rate": 9.580415049609503e-05, + "loss": 7.4802, + "loss/crossentropy": 1.859999030828476, + "loss/hidden": 3.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.28401579707860947, + "step": 789 + }, + { + "epoch": 0.13166666666666665, + "grad_norm": 34.0, + "grad_norm_var": 2.703125, + "learning_rate": 9.579364635883048e-05, + "loss": 7.448, + "loss/crossentropy": 1.7404861450195312, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.1754416935145855, + "step": 790 + }, + { + "epoch": 0.13183333333333333, + "grad_norm": 29.625, + "grad_norm_var": 2.7864583333333335, + "learning_rate": 9.578312966697807e-05, + "loss": 7.3509, + "loss/crossentropy": 1.383358120918274, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.17976827174425125, + "step": 791 + }, + { + "epoch": 0.132, + "grad_norm": 29.375, + "grad_norm_var": 2.7372395833333334, + "learning_rate": 9.577260042342097e-05, + "loss": 7.2368, + "loss/crossentropy": 2.1498415172100067, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.189455796033144, + "step": 792 + }, + { + "epoch": 0.13216666666666665, + "grad_norm": 31.625, + "grad_norm_var": 2.528125, + "learning_rate": 9.576205863104588e-05, + "loss": 7.4449, + "loss/crossentropy": 1.4165163487195969, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.16151496767997742, + "step": 793 + }, + { + "epoch": 0.13233333333333333, + "grad_norm": 29.875, + "grad_norm_var": 2.59140625, + "learning_rate": 9.575150429274287e-05, + "loss": 7.2671, + "loss/crossentropy": 2.6034965217113495, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.18676010519266129, + "step": 794 + }, + { + "epoch": 0.1325, + "grad_norm": 31.75, + "grad_norm_var": 2.6393229166666665, + "learning_rate": 9.574093741140549e-05, + "loss": 7.2838, + "loss/crossentropy": 1.7625453174114227, + "loss/hidden": 3.921875, + "loss/jsd": 0.0, + "loss/logits": 0.28167110681533813, + "step": 795 + }, + { + "epoch": 0.13266666666666665, + "grad_norm": 34.5, + "grad_norm_var": 2.6393229166666665, + "learning_rate": 9.573035798993069e-05, + "loss": 7.3887, + "loss/crossentropy": 1.8252238184213638, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.1730077564716339, + "step": 796 + }, + { + "epoch": 0.13283333333333333, + "grad_norm": 33.75, + "grad_norm_var": 2.832291666666667, + "learning_rate": 9.571976603121888e-05, + "loss": 7.0188, + "loss/crossentropy": 1.136892981827259, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.12606851570308208, + "step": 797 + }, + { + "epoch": 0.133, + "grad_norm": 28.375, + "grad_norm_var": 3.333268229166667, + "learning_rate": 9.570916153817391e-05, + "loss": 7.1889, + "loss/crossentropy": 1.9445914030075073, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.21927091479301453, + "step": 798 + }, + { + "epoch": 0.13316666666666666, + "grad_norm": 32.25, + "grad_norm_var": 3.4197265625, + "learning_rate": 9.569854451370307e-05, + "loss": 7.5546, + "loss/crossentropy": 1.389248102903366, + "loss/hidden": 3.6875, + "loss/jsd": 0.0, + "loss/logits": 0.21863888576626778, + "step": 799 + }, + { + "epoch": 0.13333333333333333, + "grad_norm": 29.875, + "grad_norm_var": 3.0994140625, + "learning_rate": 9.568791496071706e-05, + "loss": 7.0812, + "loss/crossentropy": 1.6537730991840363, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1779423952102661, + "step": 800 + }, + { + "epoch": 0.1335, + "grad_norm": 31.5, + "grad_norm_var": 3.10390625, + "learning_rate": 9.567727288213005e-05, + "loss": 7.2501, + "loss/crossentropy": 2.202036827802658, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.22605827823281288, + "step": 801 + }, + { + "epoch": 0.13366666666666666, + "grad_norm": 31.625, + "grad_norm_var": 2.978125, + "learning_rate": 9.56666182808596e-05, + "loss": 7.2866, + "loss/crossentropy": 1.584087774157524, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.17102529108524323, + "step": 802 + }, + { + "epoch": 0.13383333333333333, + "grad_norm": 31.0, + "grad_norm_var": 2.9375, + "learning_rate": 9.565595115982678e-05, + "loss": 7.6211, + "loss/crossentropy": 2.211240530014038, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.2555403672158718, + "step": 803 + }, + { + "epoch": 0.134, + "grad_norm": 29.0, + "grad_norm_var": 3.2900390625, + "learning_rate": 9.5645271521956e-05, + "loss": 7.3061, + "loss/crossentropy": 1.7899938523769379, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.32840781658887863, + "step": 804 + }, + { + "epoch": 0.13416666666666666, + "grad_norm": 30.25, + "grad_norm_var": 3.3421223958333335, + "learning_rate": 9.563457937017515e-05, + "loss": 7.3661, + "loss/crossentropy": 1.5019114315509796, + "loss/hidden": 3.7734375, + "loss/jsd": 0.0, + "loss/logits": 0.24091443419456482, + "step": 805 + }, + { + "epoch": 0.13433333333333333, + "grad_norm": 31.0, + "grad_norm_var": 2.7639973958333335, + "learning_rate": 9.562387470741554e-05, + "loss": 7.2827, + "loss/crossentropy": 1.9453937411308289, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.25887253507971764, + "step": 806 + }, + { + "epoch": 0.1345, + "grad_norm": 32.25, + "grad_norm_var": 2.7270833333333333, + "learning_rate": 9.561315753661194e-05, + "loss": 6.8771, + "loss/crossentropy": 1.449354350566864, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.18446829169988632, + "step": 807 + }, + { + "epoch": 0.13466666666666666, + "grad_norm": 30.875, + "grad_norm_var": 2.517708333333333, + "learning_rate": 9.560242786070249e-05, + "loss": 7.3977, + "loss/crossentropy": 1.3549923300743103, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.1514573572203517, + "step": 808 + }, + { + "epoch": 0.13483333333333333, + "grad_norm": 27.625, + "grad_norm_var": 3.301041666666667, + "learning_rate": 9.55916856826288e-05, + "loss": 7.1812, + "loss/crossentropy": 1.5787281095981598, + "loss/hidden": 3.80859375, + "loss/jsd": 0.0, + "loss/logits": 0.23648673295974731, + "step": 809 + }, + { + "epoch": 0.135, + "grad_norm": 36.5, + "grad_norm_var": 5.078059895833333, + "learning_rate": 9.558093100533591e-05, + "loss": 7.4789, + "loss/crossentropy": 2.1049546599388123, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.34059297293424606, + "step": 810 + }, + { + "epoch": 0.13516666666666666, + "grad_norm": 31.125, + "grad_norm_var": 5.071875, + "learning_rate": 9.557016383177227e-05, + "loss": 7.0125, + "loss/crossentropy": 1.8799607157707214, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.18389278650283813, + "step": 811 + }, + { + "epoch": 0.13533333333333333, + "grad_norm": 56.0, + "grad_norm_var": 43.010416666666664, + "learning_rate": 9.555938416488977e-05, + "loss": 7.2583, + "loss/crossentropy": 1.8990149199962616, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.20581569522619247, + "step": 812 + }, + { + "epoch": 0.1355, + "grad_norm": 33.75, + "grad_norm_var": 43.010416666666664, + "learning_rate": 9.55485920076437e-05, + "loss": 7.3948, + "loss/crossentropy": 1.287716194987297, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.17925803363323212, + "step": 813 + }, + { + "epoch": 0.13566666666666666, + "grad_norm": 29.5, + "grad_norm_var": 42.44264322916667, + "learning_rate": 9.553778736299279e-05, + "loss": 7.1165, + "loss/crossentropy": 1.4526919722557068, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.1660779807716608, + "step": 814 + }, + { + "epoch": 0.13583333333333333, + "grad_norm": 31.375, + "grad_norm_var": 42.549739583333334, + "learning_rate": 9.552697023389922e-05, + "loss": 7.1825, + "loss/crossentropy": 1.9017798006534576, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.1294990535825491, + "step": 815 + }, + { + "epoch": 0.136, + "grad_norm": 31.625, + "grad_norm_var": 42.08125, + "learning_rate": 9.551614062332856e-05, + "loss": 7.2658, + "loss/crossentropy": 1.729724794626236, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.1733120009303093, + "step": 816 + }, + { + "epoch": 0.13616666666666666, + "grad_norm": 32.5, + "grad_norm_var": 41.96875, + "learning_rate": 9.550529853424979e-05, + "loss": 6.8834, + "loss/crossentropy": 0.9069706723093987, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.1328633949160576, + "step": 817 + }, + { + "epoch": 0.13633333333333333, + "grad_norm": 30.5, + "grad_norm_var": 42.2353515625, + "learning_rate": 9.549444396963534e-05, + "loss": 7.0983, + "loss/crossentropy": 1.7946209907531738, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.16930393874645233, + "step": 818 + }, + { + "epoch": 0.1365, + "grad_norm": 30.25, + "grad_norm_var": 42.4509765625, + "learning_rate": 9.548357693246105e-05, + "loss": 7.2424, + "loss/crossentropy": 1.4191659688949585, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.18897976353764534, + "step": 819 + }, + { + "epoch": 0.13666666666666666, + "grad_norm": 38.5, + "grad_norm_var": 43.331705729166664, + "learning_rate": 9.547269742570619e-05, + "loss": 7.3048, + "loss/crossentropy": 1.757742017507553, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.21289073675870895, + "step": 820 + }, + { + "epoch": 0.13683333333333333, + "grad_norm": 31.375, + "grad_norm_var": 42.94557291666667, + "learning_rate": 9.546180545235344e-05, + "loss": 7.3922, + "loss/crossentropy": 1.9324754476547241, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.20474570244550705, + "step": 821 + }, + { + "epoch": 0.137, + "grad_norm": 28.5, + "grad_norm_var": 44.143489583333334, + "learning_rate": 9.545090101538887e-05, + "loss": 6.975, + "loss/crossentropy": 1.586461067199707, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.16012245789170265, + "step": 822 + }, + { + "epoch": 0.13716666666666666, + "grad_norm": 31.75, + "grad_norm_var": 44.22682291666667, + "learning_rate": 9.543998411780201e-05, + "loss": 7.2944, + "loss/crossentropy": 1.5576333180069923, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.17472228594124317, + "step": 823 + }, + { + "epoch": 0.13733333333333334, + "grad_norm": 29.375, + "grad_norm_var": 44.83932291666667, + "learning_rate": 9.54290547625858e-05, + "loss": 7.2929, + "loss/crossentropy": 1.8102333843708038, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.20905954018235207, + "step": 824 + }, + { + "epoch": 0.1375, + "grad_norm": 35.25, + "grad_norm_var": 42.865559895833336, + "learning_rate": 9.541811295273656e-05, + "loss": 7.3067, + "loss/crossentropy": 0.9989386051893234, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.17145405896008015, + "step": 825 + }, + { + "epoch": 0.13766666666666666, + "grad_norm": 29.875, + "grad_norm_var": 43.06223958333333, + "learning_rate": 9.540715869125407e-05, + "loss": 7.1798, + "loss/crossentropy": 1.7404059767723083, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1699448525905609, + "step": 826 + }, + { + "epoch": 0.13783333333333334, + "grad_norm": 32.0, + "grad_norm_var": 42.86764322916667, + "learning_rate": 9.53961919811415e-05, + "loss": 7.2755, + "loss/crossentropy": 1.1501479148864746, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.19713975861668587, + "step": 827 + }, + { + "epoch": 0.138, + "grad_norm": 28.375, + "grad_norm_var": 6.796875, + "learning_rate": 9.538521282540542e-05, + "loss": 7.0676, + "loss/crossentropy": 2.0919524431228638, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15730703622102737, + "step": 828 + }, + { + "epoch": 0.13816666666666666, + "grad_norm": 29.625, + "grad_norm_var": 6.6400390625, + "learning_rate": 9.537422122705585e-05, + "loss": 7.3261, + "loss/crossentropy": 1.4668185710906982, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.1639045923948288, + "step": 829 + }, + { + "epoch": 0.13833333333333334, + "grad_norm": 30.5, + "grad_norm_var": 6.466080729166666, + "learning_rate": 9.536321718910619e-05, + "loss": 7.3588, + "loss/crossentropy": 2.1604126393795013, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.18609627708792686, + "step": 830 + }, + { + "epoch": 0.1385, + "grad_norm": 31.0, + "grad_norm_var": 6.472916666666666, + "learning_rate": 9.535220071457325e-05, + "loss": 7.2914, + "loss/crossentropy": 1.7398014664649963, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.1664908565580845, + "step": 831 + }, + { + "epoch": 0.13866666666666666, + "grad_norm": 33.5, + "grad_norm_var": 6.770768229166666, + "learning_rate": 9.534117180647728e-05, + "loss": 7.2502, + "loss/crossentropy": 1.3350512720644474, + "loss/hidden": 3.765625, + "loss/jsd": 0.0, + "loss/logits": 0.17889262828975916, + "step": 832 + }, + { + "epoch": 0.13883333333333334, + "grad_norm": 29.875, + "grad_norm_var": 6.826822916666667, + "learning_rate": 9.533013046784189e-05, + "loss": 7.3238, + "loss/crossentropy": 2.4168621003627777, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.22906067222356796, + "step": 833 + }, + { + "epoch": 0.139, + "grad_norm": 29.125, + "grad_norm_var": 7.0853515625, + "learning_rate": 9.531907670169415e-05, + "loss": 7.1844, + "loss/crossentropy": 1.3794061094522476, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.16571270301938057, + "step": 834 + }, + { + "epoch": 0.13916666666666666, + "grad_norm": 30.25, + "grad_norm_var": 7.0853515625, + "learning_rate": 9.530801051106449e-05, + "loss": 6.8716, + "loss/crossentropy": 1.2973438501358032, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.12957068346440792, + "step": 835 + }, + { + "epoch": 0.13933333333333334, + "grad_norm": 32.0, + "grad_norm_var": 3.381705729166667, + "learning_rate": 9.52969318989868e-05, + "loss": 7.2721, + "loss/crossentropy": 1.8947395384311676, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.18677709624171257, + "step": 836 + }, + { + "epoch": 0.1395, + "grad_norm": 31.5, + "grad_norm_var": 3.392708333333333, + "learning_rate": 9.528584086849832e-05, + "loss": 7.1715, + "loss/crossentropy": 1.7173646092414856, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.13541538082063198, + "step": 837 + }, + { + "epoch": 0.13966666666666666, + "grad_norm": 32.25, + "grad_norm_var": 3.130989583333333, + "learning_rate": 9.527473742263973e-05, + "loss": 7.3485, + "loss/crossentropy": 1.770973801612854, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.16501959785819054, + "step": 838 + }, + { + "epoch": 0.13983333333333334, + "grad_norm": 28.625, + "grad_norm_var": 3.4353515625, + "learning_rate": 9.526362156445507e-05, + "loss": 7.0468, + "loss/crossentropy": 1.4360809028148651, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.14953473582863808, + "step": 839 + }, + { + "epoch": 0.14, + "grad_norm": 29.625, + "grad_norm_var": 3.3910807291666667, + "learning_rate": 9.525249329699188e-05, + "loss": 6.9655, + "loss/crossentropy": 1.7091718018054962, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.20031239837408066, + "step": 840 + }, + { + "epoch": 0.14016666666666666, + "grad_norm": 30.75, + "grad_norm_var": 2.0082682291666667, + "learning_rate": 9.524135262330098e-05, + "loss": 7.5125, + "loss/crossentropy": 1.9940660297870636, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1591429878026247, + "step": 841 + }, + { + "epoch": 0.14033333333333334, + "grad_norm": 31.125, + "grad_norm_var": 1.9926432291666667, + "learning_rate": 9.523019954643669e-05, + "loss": 7.2906, + "loss/crossentropy": 2.18462273478508, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.19053708761930466, + "step": 842 + }, + { + "epoch": 0.1405, + "grad_norm": 30.75, + "grad_norm_var": 1.8624348958333334, + "learning_rate": 9.521903406945664e-05, + "loss": 7.1004, + "loss/crossentropy": 1.8117623925209045, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.15475555136799812, + "step": 843 + }, + { + "epoch": 0.14066666666666666, + "grad_norm": 31.25, + "grad_norm_var": 1.5434895833333333, + "learning_rate": 9.520785619542196e-05, + "loss": 7.9422, + "loss/crossentropy": 1.4361202418804169, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.16791957058012486, + "step": 844 + }, + { + "epoch": 0.14083333333333334, + "grad_norm": 28.75, + "grad_norm_var": 1.7207682291666666, + "learning_rate": 9.519666592739709e-05, + "loss": 6.9648, + "loss/crossentropy": 1.5224987119436264, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.20675836876034737, + "step": 845 + }, + { + "epoch": 0.141, + "grad_norm": 30.75, + "grad_norm_var": 1.7186848958333334, + "learning_rate": 9.518546326844993e-05, + "loss": 7.3723, + "loss/crossentropy": 1.5077387690544128, + "loss/hidden": 4.453125, + "loss/jsd": 0.0, + "loss/logits": 0.22337773814797401, + "step": 846 + }, + { + "epoch": 0.14116666666666666, + "grad_norm": 31.25, + "grad_norm_var": 1.7327473958333333, + "learning_rate": 9.517424822165175e-05, + "loss": 7.0724, + "loss/crossentropy": 1.1534551531076431, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.17478630878031254, + "step": 847 + }, + { + "epoch": 0.14133333333333334, + "grad_norm": 32.5, + "grad_norm_var": 1.4233723958333333, + "learning_rate": 9.516302079007719e-05, + "loss": 6.9591, + "loss/crossentropy": 1.4297308921813965, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.20949728786945343, + "step": 848 + }, + { + "epoch": 0.1415, + "grad_norm": 29.875, + "grad_norm_var": 1.4233723958333333, + "learning_rate": 9.515178097680437e-05, + "loss": 7.5144, + "loss/crossentropy": 1.7045030891895294, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.14692462421953678, + "step": 849 + }, + { + "epoch": 0.14166666666666666, + "grad_norm": 29.875, + "grad_norm_var": 1.3061848958333333, + "learning_rate": 9.51405287849147e-05, + "loss": 7.146, + "loss/crossentropy": 1.9769637882709503, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.21150068566203117, + "step": 850 + }, + { + "epoch": 0.14183333333333334, + "grad_norm": 31.625, + "grad_norm_var": 1.3427083333333334, + "learning_rate": 9.512926421749304e-05, + "loss": 7.3401, + "loss/crossentropy": 1.919234961271286, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.28474786318838596, + "step": 851 + }, + { + "epoch": 0.142, + "grad_norm": 34.0, + "grad_norm_var": 1.9177083333333333, + "learning_rate": 9.511798727762764e-05, + "loss": 7.1106, + "loss/crossentropy": 1.8584485948085785, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.16243590787053108, + "step": 852 + }, + { + "epoch": 0.14216666666666666, + "grad_norm": 32.75, + "grad_norm_var": 2.1143229166666666, + "learning_rate": 9.510669796841014e-05, + "loss": 7.5742, + "loss/crossentropy": 2.2767185270786285, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.19640379771590233, + "step": 853 + }, + { + "epoch": 0.14233333333333334, + "grad_norm": 31.125, + "grad_norm_var": 2.0035807291666665, + "learning_rate": 9.509539629293558e-05, + "loss": 7.4331, + "loss/crossentropy": 1.7738919258117676, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.19907983765006065, + "step": 854 + }, + { + "epoch": 0.1425, + "grad_norm": 29.625, + "grad_norm_var": 1.7608723958333334, + "learning_rate": 9.508408225430237e-05, + "loss": 6.8944, + "loss/crossentropy": 1.8578266501426697, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.18979492783546448, + "step": 855 + }, + { + "epoch": 0.14266666666666666, + "grad_norm": 30.625, + "grad_norm_var": 1.6431640625, + "learning_rate": 9.507275585561229e-05, + "loss": 7.4694, + "loss/crossentropy": 1.788054645061493, + "loss/hidden": 4.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.20594334974884987, + "step": 856 + }, + { + "epoch": 0.14283333333333334, + "grad_norm": 30.625, + "grad_norm_var": 1.6489583333333333, + "learning_rate": 9.506141709997057e-05, + "loss": 7.5055, + "loss/crossentropy": 1.4296987056732178, + "loss/hidden": 3.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.32834842428565025, + "step": 857 + }, + { + "epoch": 0.143, + "grad_norm": 31.0, + "grad_norm_var": 1.6483723958333334, + "learning_rate": 9.505006599048579e-05, + "loss": 7.2555, + "loss/crossentropy": 1.8494880199432373, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.22622110322117805, + "step": 858 + }, + { + "epoch": 0.14316666666666666, + "grad_norm": 28.75, + "grad_norm_var": 1.9712890625, + "learning_rate": 9.503870253026991e-05, + "loss": 6.9123, + "loss/crossentropy": 1.61825492978096, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.1566757969558239, + "step": 859 + }, + { + "epoch": 0.14333333333333334, + "grad_norm": 30.625, + "grad_norm_var": 1.96640625, + "learning_rate": 9.50273267224383e-05, + "loss": 7.1494, + "loss/crossentropy": 2.0159516036510468, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1681060865521431, + "step": 860 + }, + { + "epoch": 0.1435, + "grad_norm": 33.75, + "grad_norm_var": 2.12265625, + "learning_rate": 9.501593857010969e-05, + "loss": 7.4906, + "loss/crossentropy": 1.5668489038944244, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.21499893069267273, + "step": 861 + }, + { + "epoch": 0.14366666666666666, + "grad_norm": 30.25, + "grad_norm_var": 2.16640625, + "learning_rate": 9.50045380764062e-05, + "loss": 7.1057, + "loss/crossentropy": 1.2165893912315369, + "loss/hidden": 3.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.23781537264585495, + "step": 862 + }, + { + "epoch": 0.14383333333333334, + "grad_norm": 30.875, + "grad_norm_var": 2.1697265625, + "learning_rate": 9.499312524445336e-05, + "loss": 6.6869, + "loss/crossentropy": 1.0919674932956696, + "loss/hidden": 3.77734375, + "loss/jsd": 0.0, + "loss/logits": 0.18617354333400726, + "step": 863 + }, + { + "epoch": 0.144, + "grad_norm": 27.875, + "grad_norm_var": 2.65390625, + "learning_rate": 9.498170007738005e-05, + "loss": 7.0988, + "loss/crossentropy": 1.6911379247903824, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.17686204239726067, + "step": 864 + }, + { + "epoch": 0.14416666666666667, + "grad_norm": 30.0, + "grad_norm_var": 2.6389973958333335, + "learning_rate": 9.497026257831855e-05, + "loss": 7.4592, + "loss/crossentropy": 1.8146097958087921, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.18080419301986694, + "step": 865 + }, + { + "epoch": 0.14433333333333334, + "grad_norm": 31.25, + "grad_norm_var": 2.5809895833333334, + "learning_rate": 9.495881275040453e-05, + "loss": 7.643, + "loss/crossentropy": 2.3058604300022125, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.16926423460245132, + "step": 866 + }, + { + "epoch": 0.1445, + "grad_norm": 39.75, + "grad_norm_var": 7.468684895833333, + "learning_rate": 9.494735059677699e-05, + "loss": 7.3949, + "loss/crossentropy": 1.401999369263649, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.15934792906045914, + "step": 867 + }, + { + "epoch": 0.14466666666666667, + "grad_norm": 49.5, + "grad_norm_var": 27.7962890625, + "learning_rate": 9.493587612057837e-05, + "loss": 7.5433, + "loss/crossentropy": 1.87227264046669, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.1974172182381153, + "step": 868 + }, + { + "epoch": 0.14483333333333334, + "grad_norm": 32.75, + "grad_norm_var": 27.7962890625, + "learning_rate": 9.492438932495444e-05, + "loss": 7.2661, + "loss/crossentropy": 2.4418474435806274, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.17274828255176544, + "step": 869 + }, + { + "epoch": 0.145, + "grad_norm": 34.5, + "grad_norm_var": 27.93515625, + "learning_rate": 9.491289021305441e-05, + "loss": 7.1889, + "loss/crossentropy": 1.7477463483810425, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.2018323615193367, + "step": 870 + }, + { + "epoch": 0.14516666666666667, + "grad_norm": 31.5, + "grad_norm_var": 27.4087890625, + "learning_rate": 9.490137878803079e-05, + "loss": 7.4709, + "loss/crossentropy": 2.011961728334427, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.23878171294927597, + "step": 871 + }, + { + "epoch": 0.14533333333333334, + "grad_norm": 31.0, + "grad_norm_var": 27.3125, + "learning_rate": 9.488985505303951e-05, + "loss": 7.3868, + "loss/crossentropy": 2.2182995676994324, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1687772162258625, + "step": 872 + }, + { + "epoch": 0.1455, + "grad_norm": 32.5, + "grad_norm_var": 27.0009765625, + "learning_rate": 9.487831901123988e-05, + "loss": 7.4503, + "loss/crossentropy": 1.601034089922905, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.19292880222201347, + "step": 873 + }, + { + "epoch": 0.14566666666666667, + "grad_norm": 59.75, + "grad_norm_var": 71.50358072916667, + "learning_rate": 9.486677066579456e-05, + "loss": 7.5517, + "loss/crossentropy": 2.098694920539856, + "loss/hidden": 3.72265625, + "loss/jsd": 0.0, + "loss/logits": 0.27684100717306137, + "step": 874 + }, + { + "epoch": 0.14583333333333334, + "grad_norm": 34.75, + "grad_norm_var": 69.02233072916667, + "learning_rate": 9.485521001986962e-05, + "loss": 7.2567, + "loss/crossentropy": 1.3583464622497559, + "loss/hidden": 3.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.28156812116503716, + "step": 875 + }, + { + "epoch": 0.146, + "grad_norm": 31.75, + "grad_norm_var": 68.43932291666667, + "learning_rate": 9.484363707663442e-05, + "loss": 7.5572, + "loss/crossentropy": 1.850482553243637, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.17428970709443092, + "step": 876 + }, + { + "epoch": 0.14616666666666667, + "grad_norm": 30.0, + "grad_norm_var": 69.99791666666667, + "learning_rate": 9.483205183926181e-05, + "loss": 6.8266, + "loss/crossentropy": 1.5660331845283508, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.1589797157794237, + "step": 877 + }, + { + "epoch": 0.14633333333333334, + "grad_norm": 30.25, + "grad_norm_var": 69.99791666666667, + "learning_rate": 9.48204543109279e-05, + "loss": 7.1353, + "loss/crossentropy": 2.137140065431595, + "loss/hidden": 3.109375, + "loss/jsd": 0.0, + "loss/logits": 0.15021326392889023, + "step": 878 + }, + { + "epoch": 0.1465, + "grad_norm": 29.625, + "grad_norm_var": 70.76223958333334, + "learning_rate": 9.480884449481225e-05, + "loss": 7.2885, + "loss/crossentropy": 1.8290425837039948, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.17951563745737076, + "step": 879 + }, + { + "epoch": 0.14666666666666667, + "grad_norm": 27.625, + "grad_norm_var": 70.996875, + "learning_rate": 9.479722239409775e-05, + "loss": 7.0434, + "loss/crossentropy": 1.5461790561676025, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.19305451214313507, + "step": 880 + }, + { + "epoch": 0.14683333333333334, + "grad_norm": 29.0, + "grad_norm_var": 71.696875, + "learning_rate": 9.478558801197065e-05, + "loss": 7.2403, + "loss/crossentropy": 1.997674286365509, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.24135951325297356, + "step": 881 + }, + { + "epoch": 0.147, + "grad_norm": 31.375, + "grad_norm_var": 71.6400390625, + "learning_rate": 9.47739413516206e-05, + "loss": 7.4697, + "loss/crossentropy": 1.3830721974372864, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.23223229497671127, + "step": 882 + }, + { + "epoch": 0.14716666666666667, + "grad_norm": 30.375, + "grad_norm_var": 70.85390625, + "learning_rate": 9.476228241624059e-05, + "loss": 7.1558, + "loss/crossentropy": 1.7543727606534958, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.19825738668441772, + "step": 883 + }, + { + "epoch": 0.14733333333333334, + "grad_norm": 31.75, + "grad_norm_var": 54.19479166666667, + "learning_rate": 9.475061120902698e-05, + "loss": 7.4787, + "loss/crossentropy": 1.4276432394981384, + "loss/hidden": 3.921875, + "loss/jsd": 0.0, + "loss/logits": 0.1671007014811039, + "step": 884 + }, + { + "epoch": 0.1475, + "grad_norm": 31.625, + "grad_norm_var": 54.316080729166664, + "learning_rate": 9.473892773317952e-05, + "loss": 7.0177, + "loss/crossentropy": 1.1863575875759125, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.25031600147485733, + "step": 885 + }, + { + "epoch": 0.14766666666666667, + "grad_norm": 28.75, + "grad_norm_var": 55.2025390625, + "learning_rate": 9.472723199190125e-05, + "loss": 7.3024, + "loss/crossentropy": 1.396965429186821, + "loss/hidden": 3.91796875, + "loss/jsd": 0.0, + "loss/logits": 0.21523795649409294, + "step": 886 + }, + { + "epoch": 0.14783333333333334, + "grad_norm": 30.0, + "grad_norm_var": 55.5634765625, + "learning_rate": 9.47155239883987e-05, + "loss": 7.5251, + "loss/crossentropy": 1.6711354553699493, + "loss/hidden": 3.8984375, + "loss/jsd": 0.0, + "loss/logits": 0.2758805975317955, + "step": 887 + }, + { + "epoch": 0.148, + "grad_norm": 29.25, + "grad_norm_var": 56.10670572916667, + "learning_rate": 9.470380372588162e-05, + "loss": 7.17, + "loss/crossentropy": 1.6715282797813416, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.2020905315876007, + "step": 888 + }, + { + "epoch": 0.14816666666666667, + "grad_norm": 32.5, + "grad_norm_var": 56.10670572916667, + "learning_rate": 9.46920712075632e-05, + "loss": 7.5769, + "loss/crossentropy": 1.5983088314533234, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.16166867688298225, + "step": 889 + }, + { + "epoch": 0.14833333333333334, + "grad_norm": 32.25, + "grad_norm_var": 3.083268229166667, + "learning_rate": 9.468032643665998e-05, + "loss": 7.3204, + "loss/crossentropy": 2.1481020152568817, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.20704419165849686, + "step": 890 + }, + { + "epoch": 0.1485, + "grad_norm": 29.625, + "grad_norm_var": 1.9434895833333334, + "learning_rate": 9.466856941639188e-05, + "loss": 7.3109, + "loss/crossentropy": 1.8172811567783356, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.19148655608296394, + "step": 891 + }, + { + "epoch": 0.14866666666666667, + "grad_norm": 31.625, + "grad_norm_var": 1.9212890625, + "learning_rate": 9.465680014998213e-05, + "loss": 7.5316, + "loss/crossentropy": 1.9877941012382507, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.16703401878476143, + "step": 892 + }, + { + "epoch": 0.14883333333333335, + "grad_norm": 29.5, + "grad_norm_var": 1.9603515625, + "learning_rate": 9.464501864065735e-05, + "loss": 7.0551, + "loss/crossentropy": 1.422202154994011, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.19844955578446388, + "step": 893 + }, + { + "epoch": 0.149, + "grad_norm": 30.875, + "grad_norm_var": 1.97890625, + "learning_rate": 9.46332248916475e-05, + "loss": 7.034, + "loss/crossentropy": 1.4157359600067139, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.13821185193955898, + "step": 894 + }, + { + "epoch": 0.14916666666666667, + "grad_norm": 29.625, + "grad_norm_var": 1.97890625, + "learning_rate": 9.46214189061859e-05, + "loss": 7.0795, + "loss/crossentropy": 1.787828505039215, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.1712820678949356, + "step": 895 + }, + { + "epoch": 0.14933333333333335, + "grad_norm": 31.375, + "grad_norm_var": 1.490625, + "learning_rate": 9.460960068750924e-05, + "loss": 7.2957, + "loss/crossentropy": 1.925620973110199, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.15570113062858582, + "step": 896 + }, + { + "epoch": 0.1495, + "grad_norm": 30.875, + "grad_norm_var": 1.3119140625, + "learning_rate": 9.459777023885755e-05, + "loss": 7.2857, + "loss/crossentropy": 1.4541048854589462, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.21104299277067184, + "step": 897 + }, + { + "epoch": 0.14966666666666667, + "grad_norm": 31.125, + "grad_norm_var": 1.2936848958333333, + "learning_rate": 9.458592756347419e-05, + "loss": 7.6247, + "loss/crossentropy": 1.9160146713256836, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.29131875187158585, + "step": 898 + }, + { + "epoch": 0.14983333333333335, + "grad_norm": 27.875, + "grad_norm_var": 1.7910807291666666, + "learning_rate": 9.457407266460593e-05, + "loss": 7.2227, + "loss/crossentropy": 1.9192684292793274, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.16211543045938015, + "step": 899 + }, + { + "epoch": 0.15, + "grad_norm": 32.25, + "grad_norm_var": 1.8874348958333333, + "learning_rate": 9.456220554550285e-05, + "loss": 7.2177, + "loss/crossentropy": 1.4649416357278824, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.1687542423605919, + "step": 900 + }, + { + "epoch": 0.15016666666666667, + "grad_norm": 31.125, + "grad_norm_var": 1.8327473958333333, + "learning_rate": 9.45503262094184e-05, + "loss": 7.2513, + "loss/crossentropy": 1.3999031782150269, + "loss/hidden": 4.0, + "loss/jsd": 0.0, + "loss/logits": 0.28319165110588074, + "step": 901 + }, + { + "epoch": 0.15033333333333335, + "grad_norm": 30.125, + "grad_norm_var": 1.6229166666666666, + "learning_rate": 9.453843465960933e-05, + "loss": 7.2988, + "loss/crossentropy": 1.955479621887207, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.2052992843091488, + "step": 902 + }, + { + "epoch": 0.1505, + "grad_norm": 30.625, + "grad_norm_var": 1.5952473958333333, + "learning_rate": 9.45265308993358e-05, + "loss": 7.0896, + "loss/crossentropy": 1.5976478159427643, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.15355589985847473, + "step": 903 + }, + { + "epoch": 0.15066666666666667, + "grad_norm": 31.125, + "grad_norm_var": 1.4614583333333333, + "learning_rate": 9.451461493186129e-05, + "loss": 7.3303, + "loss/crossentropy": 1.9889639914035797, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.1897275187075138, + "step": 904 + }, + { + "epoch": 0.15083333333333335, + "grad_norm": 32.75, + "grad_norm_var": 1.52265625, + "learning_rate": 9.450268676045262e-05, + "loss": 7.3375, + "loss/crossentropy": 1.8655506074428558, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.17205933667719364, + "step": 905 + }, + { + "epoch": 0.151, + "grad_norm": 31.625, + "grad_norm_var": 1.4259765625, + "learning_rate": 9.449074638837999e-05, + "loss": 7.1457, + "loss/crossentropy": 1.8997942507266998, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.2036127820611, + "step": 906 + }, + { + "epoch": 0.15116666666666667, + "grad_norm": 28.125, + "grad_norm_var": 1.7931640625, + "learning_rate": 9.447879381891692e-05, + "loss": 6.8358, + "loss/crossentropy": 1.8480059802532196, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.18111873418092728, + "step": 907 + }, + { + "epoch": 0.15133333333333332, + "grad_norm": 31.625, + "grad_norm_var": 1.7931640625, + "learning_rate": 9.446682905534023e-05, + "loss": 6.9958, + "loss/crossentropy": 2.2430270612239838, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.1975494995713234, + "step": 908 + }, + { + "epoch": 0.1515, + "grad_norm": 32.25, + "grad_norm_var": 1.8389973958333334, + "learning_rate": 9.445485210093017e-05, + "loss": 7.4726, + "loss/crossentropy": 1.7635067105293274, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.25735023617744446, + "step": 909 + }, + { + "epoch": 0.15166666666666667, + "grad_norm": 30.5, + "grad_norm_var": 1.8458333333333334, + "learning_rate": 9.444286295897028e-05, + "loss": 7.2584, + "loss/crossentropy": 1.3482669442892075, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.18593468144536018, + "step": 910 + }, + { + "epoch": 0.15183333333333332, + "grad_norm": 34.0, + "grad_norm_var": 2.3494140625, + "learning_rate": 9.443086163274745e-05, + "loss": 7.2616, + "loss/crossentropy": 1.6370986104011536, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.1851278953254223, + "step": 911 + }, + { + "epoch": 0.152, + "grad_norm": 29.625, + "grad_norm_var": 2.473372395833333, + "learning_rate": 9.44188481255519e-05, + "loss": 7.2392, + "loss/crossentropy": 1.4670822322368622, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.17405189387500286, + "step": 912 + }, + { + "epoch": 0.15216666666666667, + "grad_norm": 29.0, + "grad_norm_var": 2.718489583333333, + "learning_rate": 9.440682244067724e-05, + "loss": 7.1596, + "loss/crossentropy": 2.1715012192726135, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.15273620560765266, + "step": 913 + }, + { + "epoch": 0.15233333333333332, + "grad_norm": 31.0, + "grad_norm_var": 2.7150390625, + "learning_rate": 9.439478458142033e-05, + "loss": 7.2916, + "loss/crossentropy": 1.4728807657957077, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.16221768036484718, + "step": 914 + }, + { + "epoch": 0.1525, + "grad_norm": 31.75, + "grad_norm_var": 2.115625, + "learning_rate": 9.438273455108144e-05, + "loss": 7.2901, + "loss/crossentropy": 1.2923684120178223, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.2441869042813778, + "step": 915 + }, + { + "epoch": 0.15266666666666667, + "grad_norm": 27.375, + "grad_norm_var": 2.8494140625, + "learning_rate": 9.437067235296418e-05, + "loss": 7.207, + "loss/crossentropy": 1.625198483467102, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.17968312464654446, + "step": 916 + }, + { + "epoch": 0.15283333333333332, + "grad_norm": 29.75, + "grad_norm_var": 2.905989583333333, + "learning_rate": 9.43585979903754e-05, + "loss": 7.1209, + "loss/crossentropy": 1.7370411604642868, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.18970072641968727, + "step": 917 + }, + { + "epoch": 0.153, + "grad_norm": 31.875, + "grad_norm_var": 2.9625, + "learning_rate": 9.434651146662543e-05, + "loss": 7.2779, + "loss/crossentropy": 2.1734266877174377, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.2356298603117466, + "step": 918 + }, + { + "epoch": 0.15316666666666667, + "grad_norm": 31.875, + "grad_norm_var": 3.02890625, + "learning_rate": 9.433441278502783e-05, + "loss": 7.6113, + "loss/crossentropy": 1.9233836829662323, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.26220428198575974, + "step": 919 + }, + { + "epoch": 0.15333333333333332, + "grad_norm": 30.25, + "grad_norm_var": 3.0494140625, + "learning_rate": 9.43223019488995e-05, + "loss": 7.1924, + "loss/crossentropy": 2.0979688465595245, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.21158528700470924, + "step": 920 + }, + { + "epoch": 0.1535, + "grad_norm": 30.625, + "grad_norm_var": 2.789322916666667, + "learning_rate": 9.431017896156074e-05, + "loss": 7.3643, + "loss/crossentropy": 1.5537724941968918, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.16366195678710938, + "step": 921 + }, + { + "epoch": 0.15366666666666667, + "grad_norm": 29.25, + "grad_norm_var": 2.8499348958333335, + "learning_rate": 9.42980438263351e-05, + "loss": 6.9375, + "loss/crossentropy": 1.477300003170967, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.1505614947527647, + "step": 922 + }, + { + "epoch": 0.15383333333333332, + "grad_norm": 29.75, + "grad_norm_var": 2.488541666666667, + "learning_rate": 9.428589654654951e-05, + "loss": 7.2338, + "loss/crossentropy": 1.7841804027557373, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.1836482211947441, + "step": 923 + }, + { + "epoch": 0.154, + "grad_norm": 30.875, + "grad_norm_var": 2.4268229166666666, + "learning_rate": 9.42737371255342e-05, + "loss": 6.8434, + "loss/crossentropy": 2.0325754284858704, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.17711760848760605, + "step": 924 + }, + { + "epoch": 0.15416666666666667, + "grad_norm": 33.25, + "grad_norm_var": 2.7080729166666666, + "learning_rate": 9.426156556662276e-05, + "loss": 7.6641, + "loss/crossentropy": 1.8055310249328613, + "loss/hidden": 3.859375, + "loss/jsd": 0.0, + "loss/logits": 0.2446468248963356, + "step": 925 + }, + { + "epoch": 0.15433333333333332, + "grad_norm": 32.25, + "grad_norm_var": 2.859375, + "learning_rate": 9.42493818731521e-05, + "loss": 7.6913, + "loss/crossentropy": 1.3272765129804611, + "loss/hidden": 4.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.31806548684835434, + "step": 926 + }, + { + "epoch": 0.1545, + "grad_norm": 27.75, + "grad_norm_var": 2.6184895833333335, + "learning_rate": 9.423718604846243e-05, + "loss": 7.4034, + "loss/crossentropy": 1.5088046044111252, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.14922618493437767, + "step": 927 + }, + { + "epoch": 0.15466666666666667, + "grad_norm": 28.75, + "grad_norm_var": 2.7556640625, + "learning_rate": 9.422497809589731e-05, + "loss": 7.1531, + "loss/crossentropy": 1.4438090920448303, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.15729905106127262, + "step": 928 + }, + { + "epoch": 0.15483333333333332, + "grad_norm": 31.0, + "grad_norm_var": 2.6494140625, + "learning_rate": 9.421275801880362e-05, + "loss": 7.3847, + "loss/crossentropy": 1.5666642040014267, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1446811594069004, + "step": 929 + }, + { + "epoch": 0.155, + "grad_norm": 29.0, + "grad_norm_var": 2.7556640625, + "learning_rate": 9.420052582053157e-05, + "loss": 6.8845, + "loss/crossentropy": 2.0941355526447296, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.16907286643981934, + "step": 930 + }, + { + "epoch": 0.15516666666666667, + "grad_norm": 29.375, + "grad_norm_var": 2.660416666666667, + "learning_rate": 9.418828150443469e-05, + "loss": 7.1415, + "loss/crossentropy": 1.277084156870842, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.15413564257323742, + "step": 931 + }, + { + "epoch": 0.15533333333333332, + "grad_norm": 30.625, + "grad_norm_var": 2.101822916666667, + "learning_rate": 9.417602507386981e-05, + "loss": 7.1045, + "loss/crossentropy": 1.610141098499298, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.16925229504704475, + "step": 932 + }, + { + "epoch": 0.1555, + "grad_norm": 31.375, + "grad_norm_var": 2.128059895833333, + "learning_rate": 9.416375653219709e-05, + "loss": 6.7544, + "loss/crossentropy": 1.5018357336521149, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.1386723332107067, + "step": 933 + }, + { + "epoch": 0.15566666666666668, + "grad_norm": 29.5, + "grad_norm_var": 2.042708333333333, + "learning_rate": 9.415147588278005e-05, + "loss": 6.9652, + "loss/crossentropy": 1.7524566650390625, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.15637115016579628, + "step": 934 + }, + { + "epoch": 0.15583333333333332, + "grad_norm": 31.0, + "grad_norm_var": 1.9119140625, + "learning_rate": 9.413918312898551e-05, + "loss": 7.1223, + "loss/crossentropy": 1.4138163179159164, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17044668085873127, + "step": 935 + }, + { + "epoch": 0.156, + "grad_norm": 31.125, + "grad_norm_var": 1.9552083333333334, + "learning_rate": 9.412687827418356e-05, + "loss": 7.0377, + "loss/crossentropy": 1.3508528769016266, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.1732781808823347, + "step": 936 + }, + { + "epoch": 0.15616666666666668, + "grad_norm": 29.375, + "grad_norm_var": 2.005989583333333, + "learning_rate": 9.411456132174767e-05, + "loss": 7.1604, + "loss/crossentropy": 2.340648829936981, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19552252441644669, + "step": 937 + }, + { + "epoch": 0.15633333333333332, + "grad_norm": 32.0, + "grad_norm_var": 2.10625, + "learning_rate": 9.410223227505459e-05, + "loss": 7.428, + "loss/crossentropy": 1.7425740659236908, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.22830413281917572, + "step": 938 + }, + { + "epoch": 0.1565, + "grad_norm": 31.375, + "grad_norm_var": 2.122330729166667, + "learning_rate": 9.408989113748442e-05, + "loss": 7.4025, + "loss/crossentropy": 0.9290481209754944, + "loss/hidden": 4.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.24749279394745827, + "step": 939 + }, + { + "epoch": 0.15666666666666668, + "grad_norm": 27.5, + "grad_norm_var": 2.6830729166666667, + "learning_rate": 9.407753791242051e-05, + "loss": 7.016, + "loss/crossentropy": 1.5664034932851791, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.18499549850821495, + "step": 940 + }, + { + "epoch": 0.15683333333333332, + "grad_norm": 29.25, + "grad_norm_var": 2.124739583333333, + "learning_rate": 9.40651726032496e-05, + "loss": 7.0839, + "loss/crossentropy": 1.66704261302948, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.15664922818541527, + "step": 941 + }, + { + "epoch": 0.157, + "grad_norm": 29.875, + "grad_norm_var": 1.7895182291666667, + "learning_rate": 9.405279521336173e-05, + "loss": 7.4609, + "loss/crossentropy": 1.534089207649231, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.172721229493618, + "step": 942 + }, + { + "epoch": 0.15716666666666668, + "grad_norm": 31.25, + "grad_norm_var": 1.5379557291666666, + "learning_rate": 9.404040574615018e-05, + "loss": 7.5585, + "loss/crossentropy": 2.106447756290436, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.18444381654262543, + "step": 943 + }, + { + "epoch": 0.15733333333333333, + "grad_norm": 31.125, + "grad_norm_var": 1.44765625, + "learning_rate": 9.402800420501164e-05, + "loss": 7.4477, + "loss/crossentropy": 1.6428053379058838, + "loss/hidden": 3.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.21111125126481056, + "step": 944 + }, + { + "epoch": 0.1575, + "grad_norm": 31.375, + "grad_norm_var": 1.4916015625, + "learning_rate": 9.401559059334601e-05, + "loss": 7.4241, + "loss/crossentropy": 1.8717712312936783, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.3211796395480633, + "step": 945 + }, + { + "epoch": 0.15766666666666668, + "grad_norm": 29.75, + "grad_norm_var": 1.3947265625, + "learning_rate": 9.400316491455661e-05, + "loss": 7.1774, + "loss/crossentropy": 2.349918931722641, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.20182542502880096, + "step": 946 + }, + { + "epoch": 0.15783333333333333, + "grad_norm": 29.5, + "grad_norm_var": 1.3791666666666667, + "learning_rate": 9.399072717204995e-05, + "loss": 7.1154, + "loss/crossentropy": 1.8603190779685974, + "loss/hidden": 3.7421875, + "loss/jsd": 0.0, + "loss/logits": 0.20828839763998985, + "step": 947 + }, + { + "epoch": 0.158, + "grad_norm": 31.25, + "grad_norm_var": 1.4244140625, + "learning_rate": 9.397827736923596e-05, + "loss": 7.3174, + "loss/crossentropy": 1.6743919849395752, + "loss/hidden": 3.7109375, + "loss/jsd": 0.0, + "loss/logits": 0.37463751435279846, + "step": 948 + }, + { + "epoch": 0.15816666666666668, + "grad_norm": 29.5, + "grad_norm_var": 1.40390625, + "learning_rate": 9.396581550952781e-05, + "loss": 7.0963, + "loss/crossentropy": 2.0914266109466553, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.21582521870732307, + "step": 949 + }, + { + "epoch": 0.15833333333333333, + "grad_norm": 29.0, + "grad_norm_var": 1.47265625, + "learning_rate": 9.395334159634199e-05, + "loss": 7.1344, + "loss/crossentropy": 1.8080083131790161, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.18114790692925453, + "step": 950 + }, + { + "epoch": 0.1585, + "grad_norm": 31.875, + "grad_norm_var": 1.6061848958333333, + "learning_rate": 9.394085563309827e-05, + "loss": 7.4973, + "loss/crossentropy": 2.214223086833954, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.22889979928731918, + "step": 951 + }, + { + "epoch": 0.15866666666666668, + "grad_norm": 31.75, + "grad_norm_var": 1.69765625, + "learning_rate": 9.392835762321977e-05, + "loss": 7.0854, + "loss/crossentropy": 1.8400238454341888, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.248918104916811, + "step": 952 + }, + { + "epoch": 0.15883333333333333, + "grad_norm": 32.75, + "grad_norm_var": 1.9666015625, + "learning_rate": 9.391584757013289e-05, + "loss": 7.5425, + "loss/crossentropy": 1.8805403411388397, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.17116229981184006, + "step": 953 + }, + { + "epoch": 0.159, + "grad_norm": 31.25, + "grad_norm_var": 1.8587890625, + "learning_rate": 9.390332547726733e-05, + "loss": 7.1284, + "loss/crossentropy": 1.739779755473137, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.20969608798623085, + "step": 954 + }, + { + "epoch": 0.15916666666666668, + "grad_norm": 28.75, + "grad_norm_var": 1.99140625, + "learning_rate": 9.389079134805609e-05, + "loss": 7.1018, + "loss/crossentropy": 1.8846152275800705, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.23489586636424065, + "step": 955 + }, + { + "epoch": 0.15933333333333333, + "grad_norm": 29.625, + "grad_norm_var": 1.4634765625, + "learning_rate": 9.387824518593546e-05, + "loss": 6.9657, + "loss/crossentropy": 1.6097615212202072, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.18240181729197502, + "step": 956 + }, + { + "epoch": 0.1595, + "grad_norm": 31.875, + "grad_norm_var": 1.459375, + "learning_rate": 9.386568699434508e-05, + "loss": 7.1398, + "loss/crossentropy": 2.1050661504268646, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.19370339810848236, + "step": 957 + }, + { + "epoch": 0.15966666666666668, + "grad_norm": 48.0, + "grad_norm_var": 20.103580729166666, + "learning_rate": 9.385311677672781e-05, + "loss": 7.6893, + "loss/crossentropy": 2.1763148307800293, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.17503639683127403, + "step": 958 + }, + { + "epoch": 0.15983333333333333, + "grad_norm": 34.25, + "grad_norm_var": 20.450455729166666, + "learning_rate": 9.384053453652986e-05, + "loss": 7.4834, + "loss/crossentropy": 1.2227577418088913, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.12875572219491005, + "step": 959 + }, + { + "epoch": 0.16, + "grad_norm": 30.5, + "grad_norm_var": 20.545833333333334, + "learning_rate": 9.382794027720073e-05, + "loss": 7.1467, + "loss/crossentropy": 1.5717070400714874, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.16495000198483467, + "step": 960 + }, + { + "epoch": 0.16016666666666668, + "grad_norm": 30.5, + "grad_norm_var": 20.659309895833335, + "learning_rate": 9.381533400219318e-05, + "loss": 7.0907, + "loss/crossentropy": 1.8306347131729126, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1771262213587761, + "step": 961 + }, + { + "epoch": 0.16033333333333333, + "grad_norm": 31.125, + "grad_norm_var": 20.386458333333334, + "learning_rate": 9.380271571496334e-05, + "loss": 7.4557, + "loss/crossentropy": 2.4782089591026306, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.213636826723814, + "step": 962 + }, + { + "epoch": 0.1605, + "grad_norm": 30.125, + "grad_norm_var": 20.205143229166666, + "learning_rate": 9.379008541897054e-05, + "loss": 7.2899, + "loss/crossentropy": 1.599755346775055, + "loss/hidden": 3.765625, + "loss/jsd": 0.0, + "loss/logits": 0.18493517115712166, + "step": 963 + }, + { + "epoch": 0.16066666666666668, + "grad_norm": 32.75, + "grad_norm_var": 20.194205729166665, + "learning_rate": 9.377744311767746e-05, + "loss": 7.5192, + "loss/crossentropy": 1.746928870677948, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.17140696942806244, + "step": 964 + }, + { + "epoch": 0.16083333333333333, + "grad_norm": 31.75, + "grad_norm_var": 19.730143229166668, + "learning_rate": 9.376478881455009e-05, + "loss": 7.339, + "loss/crossentropy": 2.0143012702465057, + "loss/hidden": 4.0078125, + "loss/jsd": 0.0, + "loss/logits": 0.2578558959066868, + "step": 965 + }, + { + "epoch": 0.161, + "grad_norm": 30.25, + "grad_norm_var": 19.287434895833332, + "learning_rate": 9.375212251305763e-05, + "loss": 7.1615, + "loss/crossentropy": 1.7171165198087692, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.14619379863142967, + "step": 966 + }, + { + "epoch": 0.16116666666666668, + "grad_norm": 32.25, + "grad_norm_var": 19.273958333333333, + "learning_rate": 9.373944421667265e-05, + "loss": 7.2861, + "loss/crossentropy": 1.4313836991786957, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.15895283594727516, + "step": 967 + }, + { + "epoch": 0.16133333333333333, + "grad_norm": 30.25, + "grad_norm_var": 19.533333333333335, + "learning_rate": 9.372675392887096e-05, + "loss": 7.0251, + "loss/crossentropy": 1.4792975187301636, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.20261310786008835, + "step": 968 + }, + { + "epoch": 0.1615, + "grad_norm": 29.0, + "grad_norm_var": 20.162239583333335, + "learning_rate": 9.371405165313169e-05, + "loss": 7.0704, + "loss/crossentropy": 1.8925665318965912, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16673966497182846, + "step": 969 + }, + { + "epoch": 0.16166666666666665, + "grad_norm": 30.0, + "grad_norm_var": 20.3875, + "learning_rate": 9.370133739293723e-05, + "loss": 7.5313, + "loss/crossentropy": 2.265043467283249, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.18483617156744003, + "step": 970 + }, + { + "epoch": 0.16183333333333333, + "grad_norm": 31.875, + "grad_norm_var": 19.6697265625, + "learning_rate": 9.368861115177327e-05, + "loss": 7.63, + "loss/crossentropy": 1.73798006772995, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.2236182652413845, + "step": 971 + }, + { + "epoch": 0.162, + "grad_norm": 31.5, + "grad_norm_var": 19.2625, + "learning_rate": 9.367587293312878e-05, + "loss": 7.5108, + "loss/crossentropy": 2.109057456254959, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1911468170583248, + "step": 972 + }, + { + "epoch": 0.16216666666666665, + "grad_norm": 29.75, + "grad_norm_var": 19.6509765625, + "learning_rate": 9.366312274049602e-05, + "loss": 7.2784, + "loss/crossentropy": 1.9426101446151733, + "loss/hidden": 3.76171875, + "loss/jsd": 0.0, + "loss/logits": 0.21822215616703033, + "step": 973 + }, + { + "epoch": 0.16233333333333333, + "grad_norm": 32.25, + "grad_norm_var": 1.8009765625, + "learning_rate": 9.36503605773705e-05, + "loss": 7.7166, + "loss/crossentropy": 1.858081966638565, + "loss/hidden": 3.7421875, + "loss/jsd": 0.0, + "loss/logits": 0.23198555782437325, + "step": 974 + }, + { + "epoch": 0.1625, + "grad_norm": 53.0, + "grad_norm_var": 31.5666015625, + "learning_rate": 9.36375864472511e-05, + "loss": 7.848, + "loss/crossentropy": 2.2449205219745636, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.175953671336174, + "step": 975 + }, + { + "epoch": 0.16266666666666665, + "grad_norm": 33.25, + "grad_norm_var": 31.3775390625, + "learning_rate": 9.362480035363986e-05, + "loss": 7.1444, + "loss/crossentropy": 1.4836579263210297, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.17005424201488495, + "step": 976 + }, + { + "epoch": 0.16283333333333333, + "grad_norm": 33.5, + "grad_norm_var": 31.1494140625, + "learning_rate": 9.36120023000422e-05, + "loss": 7.1445, + "loss/crossentropy": 1.46025812625885, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.1525864601135254, + "step": 977 + }, + { + "epoch": 0.163, + "grad_norm": 32.25, + "grad_norm_var": 30.99765625, + "learning_rate": 9.359919228996674e-05, + "loss": 7.0693, + "loss/crossentropy": 1.981631189584732, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.19974175468087196, + "step": 978 + }, + { + "epoch": 0.16316666666666665, + "grad_norm": 30.375, + "grad_norm_var": 30.914583333333333, + "learning_rate": 9.358637032692545e-05, + "loss": 7.5493, + "loss/crossentropy": 1.9146924018859863, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.23189393803477287, + "step": 979 + }, + { + "epoch": 0.16333333333333333, + "grad_norm": 31.25, + "grad_norm_var": 31.055208333333333, + "learning_rate": 9.357353641443354e-05, + "loss": 7.2102, + "loss/crossentropy": 1.9897369742393494, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.19221243634819984, + "step": 980 + }, + { + "epoch": 0.1635, + "grad_norm": 32.25, + "grad_norm_var": 31.010416666666668, + "learning_rate": 9.356069055600948e-05, + "loss": 7.0991, + "loss/crossentropy": 2.268047869205475, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.17382950708270073, + "step": 981 + }, + { + "epoch": 0.16366666666666665, + "grad_norm": 31.0, + "grad_norm_var": 30.801822916666666, + "learning_rate": 9.354783275517504e-05, + "loss": 7.2934, + "loss/crossentropy": 1.6492570638656616, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.270766519010067, + "step": 982 + }, + { + "epoch": 0.16383333333333333, + "grad_norm": 31.375, + "grad_norm_var": 30.906184895833334, + "learning_rate": 9.353496301545529e-05, + "loss": 7.1503, + "loss/crossentropy": 1.856852948665619, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.18430958315730095, + "step": 983 + }, + { + "epoch": 0.164, + "grad_norm": 31.375, + "grad_norm_var": 30.620833333333334, + "learning_rate": 9.352208134037851e-05, + "loss": 7.184, + "loss/crossentropy": 1.7651639580726624, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.15293405205011368, + "step": 984 + }, + { + "epoch": 0.16416666666666666, + "grad_norm": 29.5, + "grad_norm_var": 30.386458333333334, + "learning_rate": 9.35091877334763e-05, + "loss": 7.3302, + "loss/crossentropy": 1.7698874771595001, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.19256792590022087, + "step": 985 + }, + { + "epoch": 0.16433333333333333, + "grad_norm": 29.125, + "grad_norm_var": 30.7587890625, + "learning_rate": 9.349628219828349e-05, + "loss": 7.3029, + "loss/crossentropy": 2.011773020029068, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.17887185513973236, + "step": 986 + }, + { + "epoch": 0.1645, + "grad_norm": 30.625, + "grad_norm_var": 30.998372395833332, + "learning_rate": 9.348336473833823e-05, + "loss": 7.1779, + "loss/crossentropy": 2.06114062666893, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.18867448344826698, + "step": 987 + }, + { + "epoch": 0.16466666666666666, + "grad_norm": 31.875, + "grad_norm_var": 30.949739583333333, + "learning_rate": 9.347043535718192e-05, + "loss": 7.1645, + "loss/crossentropy": 1.3193330019712448, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.14304210245609283, + "step": 988 + }, + { + "epoch": 0.16483333333333333, + "grad_norm": 31.875, + "grad_norm_var": 30.4041015625, + "learning_rate": 9.34574940583592e-05, + "loss": 7.0902, + "loss/crossentropy": 1.2350816279649734, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.1587892509996891, + "step": 989 + }, + { + "epoch": 0.165, + "grad_norm": 30.875, + "grad_norm_var": 30.623958333333334, + "learning_rate": 9.344454084541803e-05, + "loss": 7.1701, + "loss/crossentropy": 1.8795148134231567, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.1856541410088539, + "step": 990 + }, + { + "epoch": 0.16516666666666666, + "grad_norm": 31.25, + "grad_norm_var": 1.3747395833333333, + "learning_rate": 9.343157572190957e-05, + "loss": 7.4424, + "loss/crossentropy": 1.6773568987846375, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.2251323200762272, + "step": 991 + }, + { + "epoch": 0.16533333333333333, + "grad_norm": 30.5, + "grad_norm_var": 1.1541666666666666, + "learning_rate": 9.341859869138831e-05, + "loss": 7.4683, + "loss/crossentropy": 1.85666224360466, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1994481161236763, + "step": 992 + }, + { + "epoch": 0.1655, + "grad_norm": 30.125, + "grad_norm_var": 0.8254557291666667, + "learning_rate": 9.340560975741197e-05, + "loss": 7.1673, + "loss/crossentropy": 1.798208549618721, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.2776002138853073, + "step": 993 + }, + { + "epoch": 0.16566666666666666, + "grad_norm": 29.5, + "grad_norm_var": 0.8311848958333333, + "learning_rate": 9.339260892354153e-05, + "loss": 7.2964, + "loss/crossentropy": 2.394089937210083, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.17311453633010387, + "step": 994 + }, + { + "epoch": 0.16583333333333333, + "grad_norm": 30.25, + "grad_norm_var": 0.8393229166666667, + "learning_rate": 9.337959619334125e-05, + "loss": 7.2382, + "loss/crossentropy": 1.8724756240844727, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.15168115496635437, + "step": 995 + }, + { + "epoch": 0.166, + "grad_norm": 29.75, + "grad_norm_var": 0.8893229166666666, + "learning_rate": 9.336657157037866e-05, + "loss": 7.221, + "loss/crossentropy": 2.161208003759384, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.17218947410583496, + "step": 996 + }, + { + "epoch": 0.16616666666666666, + "grad_norm": 28.125, + "grad_norm_var": 1.1020182291666667, + "learning_rate": 9.33535350582245e-05, + "loss": 6.94, + "loss/crossentropy": 1.6933994144201279, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.16723676770925522, + "step": 997 + }, + { + "epoch": 0.16633333333333333, + "grad_norm": 29.25, + "grad_norm_var": 1.1639973958333334, + "learning_rate": 9.334048666045285e-05, + "loss": 7.2939, + "loss/crossentropy": 2.274313300848007, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.17677492275834084, + "step": 998 + }, + { + "epoch": 0.1665, + "grad_norm": 28.375, + "grad_norm_var": 1.3108723958333333, + "learning_rate": 9.332742638064094e-05, + "loss": 7.1129, + "loss/crossentropy": 1.77187579870224, + "loss/hidden": 3.79296875, + "loss/jsd": 0.0, + "loss/logits": 0.27776718884706497, + "step": 999 + }, + { + "epoch": 0.16666666666666666, + "grad_norm": 29.25, + "grad_norm_var": 1.2455729166666667, + "learning_rate": 9.331435422236938e-05, + "loss": 7.2087, + "loss/crossentropy": 1.9265810996294022, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15580631606280804, + "step": 1000 + }, + { + "epoch": 0.16683333333333333, + "grad_norm": 28.5, + "grad_norm_var": 1.3768229166666666, + "learning_rate": 9.330127018922194e-05, + "loss": 7.2168, + "loss/crossentropy": 1.52646504342556, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.2279236763715744, + "step": 1001 + }, + { + "epoch": 0.167, + "grad_norm": 31.25, + "grad_norm_var": 1.4244140625, + "learning_rate": 9.328817428478569e-05, + "loss": 7.3864, + "loss/crossentropy": 1.8362654149532318, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.2490648813545704, + "step": 1002 + }, + { + "epoch": 0.16716666666666666, + "grad_norm": 32.25, + "grad_norm_var": 1.70625, + "learning_rate": 9.327506651265095e-05, + "loss": 7.3141, + "loss/crossentropy": 1.78467258810997, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1509244404733181, + "step": 1003 + }, + { + "epoch": 0.16733333333333333, + "grad_norm": 31.875, + "grad_norm_var": 1.70625, + "learning_rate": 9.32619468764113e-05, + "loss": 7.2591, + "loss/crossentropy": 2.2533966302871704, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.19303973764181137, + "step": 1004 + }, + { + "epoch": 0.1675, + "grad_norm": 28.5, + "grad_norm_var": 1.6587890625, + "learning_rate": 9.324881537966354e-05, + "loss": 6.9683, + "loss/crossentropy": 1.7321947365999222, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.16967357695102692, + "step": 1005 + }, + { + "epoch": 0.16766666666666666, + "grad_norm": 31.5, + "grad_norm_var": 1.7580729166666667, + "learning_rate": 9.323567202600776e-05, + "loss": 7.177, + "loss/crossentropy": 1.7321678400039673, + "loss/hidden": 3.57421875, + "loss/jsd": 0.0, + "loss/logits": 0.202758327126503, + "step": 1006 + }, + { + "epoch": 0.16783333333333333, + "grad_norm": 30.125, + "grad_norm_var": 1.6520182291666667, + "learning_rate": 9.322251681904728e-05, + "loss": 7.3569, + "loss/crossentropy": 1.8233984112739563, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.2399062104523182, + "step": 1007 + }, + { + "epoch": 0.168, + "grad_norm": 31.125, + "grad_norm_var": 1.72265625, + "learning_rate": 9.320934976238867e-05, + "loss": 7.2127, + "loss/crossentropy": 1.373336136341095, + "loss/hidden": 4.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.25906676054000854, + "step": 1008 + }, + { + "epoch": 0.16816666666666666, + "grad_norm": 29.5, + "grad_norm_var": 1.7353515625, + "learning_rate": 9.319617085964176e-05, + "loss": 6.9572, + "loss/crossentropy": 1.6063978597521782, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.15655718185007572, + "step": 1009 + }, + { + "epoch": 0.16833333333333333, + "grad_norm": 31.0, + "grad_norm_var": 1.7869140625, + "learning_rate": 9.318298011441964e-05, + "loss": 7.1022, + "loss/crossentropy": 1.7690593600273132, + "loss/hidden": 3.921875, + "loss/jsd": 0.0, + "loss/logits": 0.20905645936727524, + "step": 1010 + }, + { + "epoch": 0.1685, + "grad_norm": 32.25, + "grad_norm_var": 2.0931640625, + "learning_rate": 9.316977753033859e-05, + "loss": 7.5942, + "loss/crossentropy": 1.4739122241735458, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.18209786340594292, + "step": 1011 + }, + { + "epoch": 0.16866666666666666, + "grad_norm": 31.75, + "grad_norm_var": 2.2327473958333335, + "learning_rate": 9.31565631110182e-05, + "loss": 7.4409, + "loss/crossentropy": 1.5012520253658295, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.2104843109846115, + "step": 1012 + }, + { + "epoch": 0.16883333333333334, + "grad_norm": 29.875, + "grad_norm_var": 1.9192057291666667, + "learning_rate": 9.314333686008125e-05, + "loss": 7.2449, + "loss/crossentropy": 1.447302222251892, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.19817490130662918, + "step": 1013 + }, + { + "epoch": 0.169, + "grad_norm": 29.25, + "grad_norm_var": 1.9192057291666667, + "learning_rate": 9.313009878115381e-05, + "loss": 7.304, + "loss/crossentropy": 1.575433075428009, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.15146752633154392, + "step": 1014 + }, + { + "epoch": 0.16916666666666666, + "grad_norm": 28.75, + "grad_norm_var": 1.8268229166666667, + "learning_rate": 9.31168488778652e-05, + "loss": 7.3226, + "loss/crossentropy": 1.2666431218385696, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.17925303801894188, + "step": 1015 + }, + { + "epoch": 0.16933333333333334, + "grad_norm": 29.125, + "grad_norm_var": 1.8473307291666667, + "learning_rate": 9.310358715384793e-05, + "loss": 7.4087, + "loss/crossentropy": 1.6595781594514847, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.17667768523097038, + "step": 1016 + }, + { + "epoch": 0.1695, + "grad_norm": 32.0, + "grad_norm_var": 1.7197265625, + "learning_rate": 9.309031361273775e-05, + "loss": 7.6083, + "loss/crossentropy": 1.8028043806552887, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.20026536658406258, + "step": 1017 + }, + { + "epoch": 0.16966666666666666, + "grad_norm": 32.75, + "grad_norm_var": 1.9837890625, + "learning_rate": 9.307702825817373e-05, + "loss": 7.3404, + "loss/crossentropy": 2.270669639110565, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.16769889742136002, + "step": 1018 + }, + { + "epoch": 0.16983333333333334, + "grad_norm": 29.125, + "grad_norm_var": 1.959375, + "learning_rate": 9.306373109379809e-05, + "loss": 7.0424, + "loss/crossentropy": 1.4852006286382675, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.1823214292526245, + "step": 1019 + }, + { + "epoch": 0.17, + "grad_norm": 30.25, + "grad_norm_var": 1.8332682291666667, + "learning_rate": 9.305042212325634e-05, + "loss": 7.1053, + "loss/crossentropy": 2.016376793384552, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.17145168781280518, + "step": 1020 + }, + { + "epoch": 0.17016666666666666, + "grad_norm": 61.5, + "grad_norm_var": 61.40514322916667, + "learning_rate": 9.30371013501972e-05, + "loss": 7.454, + "loss/crossentropy": 1.6555127948522568, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.22747880220413208, + "step": 1021 + }, + { + "epoch": 0.17033333333333334, + "grad_norm": 42.25, + "grad_norm_var": 67.2056640625, + "learning_rate": 9.302376877827263e-05, + "loss": 7.209, + "loss/crossentropy": 1.6700544655323029, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.1897926852107048, + "step": 1022 + }, + { + "epoch": 0.1705, + "grad_norm": 35.5, + "grad_norm_var": 66.83333333333333, + "learning_rate": 9.301042441113783e-05, + "loss": 7.0414, + "loss/crossentropy": 1.493530809879303, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.1704997718334198, + "step": 1023 + }, + { + "epoch": 0.17066666666666666, + "grad_norm": 32.25, + "grad_norm_var": 66.55618489583334, + "learning_rate": 9.299706825245126e-05, + "loss": 7.5369, + "loss/crossentropy": 1.8359811902046204, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.18067612871527672, + "step": 1024 + }, + { + "epoch": 0.17083333333333334, + "grad_norm": 30.125, + "grad_norm_var": 66.24140625, + "learning_rate": 9.298370030587456e-05, + "loss": 7.3398, + "loss/crossentropy": 1.424869641661644, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.17005274444818497, + "step": 1025 + }, + { + "epoch": 0.171, + "grad_norm": 30.375, + "grad_norm_var": 66.48326822916667, + "learning_rate": 9.297032057507264e-05, + "loss": 6.9411, + "loss/crossentropy": 1.884153574705124, + "loss/hidden": 3.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.14143190905451775, + "step": 1026 + }, + { + "epoch": 0.17116666666666666, + "grad_norm": 35.0, + "grad_norm_var": 66.47180989583333, + "learning_rate": 9.295692906371363e-05, + "loss": 7.1936, + "loss/crossentropy": 1.7658977210521698, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.18475309200584888, + "step": 1027 + }, + { + "epoch": 0.17133333333333334, + "grad_norm": 29.375, + "grad_norm_var": 67.45520833333333, + "learning_rate": 9.294352577546888e-05, + "loss": 7.4849, + "loss/crossentropy": 1.519232600927353, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.14876055624336004, + "step": 1028 + }, + { + "epoch": 0.1715, + "grad_norm": 30.75, + "grad_norm_var": 67.06920572916667, + "learning_rate": 9.293011071401298e-05, + "loss": 7.4399, + "loss/crossentropy": 1.4621777907013893, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.13985679671168327, + "step": 1029 + }, + { + "epoch": 0.17166666666666666, + "grad_norm": 30.375, + "grad_norm_var": 66.48854166666666, + "learning_rate": 9.291668388302374e-05, + "loss": 7.5762, + "loss/crossentropy": 2.215066432952881, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.18505752459168434, + "step": 1030 + }, + { + "epoch": 0.17183333333333334, + "grad_norm": 32.5, + "grad_norm_var": 64.88307291666666, + "learning_rate": 9.290324528618224e-05, + "loss": 7.0036, + "loss/crossentropy": 2.04854553937912, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.19184922613203526, + "step": 1031 + }, + { + "epoch": 0.172, + "grad_norm": 31.5, + "grad_norm_var": 63.706705729166664, + "learning_rate": 9.28897949271727e-05, + "loss": 7.403, + "loss/crossentropy": 1.6185847520828247, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.22312923520803452, + "step": 1032 + }, + { + "epoch": 0.17216666666666666, + "grad_norm": 30.875, + "grad_norm_var": 64.10104166666666, + "learning_rate": 9.287633280968261e-05, + "loss": 7.8368, + "loss/crossentropy": 1.7106279581785202, + "loss/hidden": 3.71875, + "loss/jsd": 0.0, + "loss/logits": 0.19282570481300354, + "step": 1033 + }, + { + "epoch": 0.17233333333333334, + "grad_norm": 29.625, + "grad_norm_var": 65.24524739583333, + "learning_rate": 9.286285893740274e-05, + "loss": 6.8309, + "loss/crossentropy": 1.6567908227443695, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.13862809166312218, + "step": 1034 + }, + { + "epoch": 0.1725, + "grad_norm": 30.375, + "grad_norm_var": 64.55774739583333, + "learning_rate": 9.284937331402697e-05, + "loss": 7.1656, + "loss/crossentropy": 1.8226232081651688, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.17071571573615074, + "step": 1035 + }, + { + "epoch": 0.17266666666666666, + "grad_norm": 35.0, + "grad_norm_var": 63.64733072916667, + "learning_rate": 9.283587594325249e-05, + "loss": 7.0402, + "loss/crossentropy": 1.1709645837545395, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.16143991611897945, + "step": 1036 + }, + { + "epoch": 0.17283333333333334, + "grad_norm": 30.375, + "grad_norm_var": 10.945572916666666, + "learning_rate": 9.282236682877967e-05, + "loss": 7.8393, + "loss/crossentropy": 2.0621816515922546, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.19756818562746048, + "step": 1037 + }, + { + "epoch": 0.173, + "grad_norm": 32.0, + "grad_norm_var": 3.8666666666666667, + "learning_rate": 9.280884597431212e-05, + "loss": 7.5471, + "loss/crossentropy": 1.7954013347625732, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.16884653270244598, + "step": 1038 + }, + { + "epoch": 0.17316666666666666, + "grad_norm": 32.25, + "grad_norm_var": 2.84765625, + "learning_rate": 9.279531338355666e-05, + "loss": 7.3084, + "loss/crossentropy": 2.160328984260559, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.16826023906469345, + "step": 1039 + }, + { + "epoch": 0.17333333333333334, + "grad_norm": 31.375, + "grad_norm_var": 2.7988932291666666, + "learning_rate": 9.27817690602233e-05, + "loss": 7.5224, + "loss/crossentropy": 2.087209850549698, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.19153646752238274, + "step": 1040 + }, + { + "epoch": 0.1735, + "grad_norm": 29.375, + "grad_norm_var": 2.958268229166667, + "learning_rate": 9.276821300802534e-05, + "loss": 7.2352, + "loss/crossentropy": 1.9709742963314056, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.20601647347211838, + "step": 1041 + }, + { + "epoch": 0.17366666666666666, + "grad_norm": 29.5, + "grad_norm_var": 3.11640625, + "learning_rate": 9.27546452306792e-05, + "loss": 7.496, + "loss/crossentropy": 2.1215765178203583, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.26274339854717255, + "step": 1042 + }, + { + "epoch": 0.17383333333333334, + "grad_norm": 30.125, + "grad_norm_var": 2.1744140625, + "learning_rate": 9.274106573190459e-05, + "loss": 6.9722, + "loss/crossentropy": 1.3983889818191528, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.13132820650935173, + "step": 1043 + }, + { + "epoch": 0.174, + "grad_norm": 29.625, + "grad_norm_var": 2.1254557291666667, + "learning_rate": 9.272747451542441e-05, + "loss": 7.1143, + "loss/crossentropy": 2.529780864715576, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.17341240867972374, + "step": 1044 + }, + { + "epoch": 0.17416666666666666, + "grad_norm": 28.875, + "grad_norm_var": 2.4018229166666667, + "learning_rate": 9.271387158496476e-05, + "loss": 7.3285, + "loss/crossentropy": 1.8412316143512726, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.18098780512809753, + "step": 1045 + }, + { + "epoch": 0.17433333333333334, + "grad_norm": 30.125, + "grad_norm_var": 2.421875, + "learning_rate": 9.270025694425497e-05, + "loss": 7.7823, + "loss/crossentropy": 1.6852163225412369, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.18295212276279926, + "step": 1046 + }, + { + "epoch": 0.1745, + "grad_norm": 29.25, + "grad_norm_var": 2.3643229166666666, + "learning_rate": 9.268663059702753e-05, + "loss": 6.9429, + "loss/crossentropy": 1.4733633249998093, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.16742233000695705, + "step": 1047 + }, + { + "epoch": 0.17466666666666666, + "grad_norm": 42.25, + "grad_norm_var": 10.81875, + "learning_rate": 9.267299254701824e-05, + "loss": 7.1808, + "loss/crossentropy": 1.76565283536911, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.15179136954247952, + "step": 1048 + }, + { + "epoch": 0.17483333333333334, + "grad_norm": 31.0, + "grad_norm_var": 10.812434895833333, + "learning_rate": 9.265934279796602e-05, + "loss": 7.3945, + "loss/crossentropy": 2.493871033191681, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.17638367414474487, + "step": 1049 + }, + { + "epoch": 0.175, + "grad_norm": 29.25, + "grad_norm_var": 10.905989583333334, + "learning_rate": 9.264568135361302e-05, + "loss": 7.0946, + "loss/crossentropy": 1.0718126818537712, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.17817819118499756, + "step": 1050 + }, + { + "epoch": 0.17516666666666666, + "grad_norm": 37.5, + "grad_norm_var": 13.203059895833333, + "learning_rate": 9.263200821770461e-05, + "loss": 7.144, + "loss/crossentropy": 1.7253368496894836, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.22389013692736626, + "step": 1051 + }, + { + "epoch": 0.17533333333333334, + "grad_norm": 27.5, + "grad_norm_var": 13.460872395833333, + "learning_rate": 9.261832339398938e-05, + "loss": 7.2942, + "loss/crossentropy": 1.919466644525528, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.20888322964310646, + "step": 1052 + }, + { + "epoch": 0.1755, + "grad_norm": 28.625, + "grad_norm_var": 13.8619140625, + "learning_rate": 9.260462688621905e-05, + "loss": 7.2526, + "loss/crossentropy": 2.213284432888031, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.19714241474866867, + "step": 1053 + }, + { + "epoch": 0.17566666666666667, + "grad_norm": 30.625, + "grad_norm_var": 13.826822916666666, + "learning_rate": 9.259091869814864e-05, + "loss": 7.636, + "loss/crossentropy": 1.81241112947464, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.28831223770976067, + "step": 1054 + }, + { + "epoch": 0.17583333333333334, + "grad_norm": 33.0, + "grad_norm_var": 13.979166666666666, + "learning_rate": 9.257719883353631e-05, + "loss": 7.5489, + "loss/crossentropy": 1.992142990231514, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.2022876925766468, + "step": 1055 + }, + { + "epoch": 0.176, + "grad_norm": 30.0, + "grad_norm_var": 14.051497395833334, + "learning_rate": 9.256346729614342e-05, + "loss": 7.1309, + "loss/crossentropy": 1.680229663848877, + "loss/hidden": 3.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.18140022456645966, + "step": 1056 + }, + { + "epoch": 0.17616666666666667, + "grad_norm": 28.625, + "grad_norm_var": 14.253059895833333, + "learning_rate": 9.254972408973461e-05, + "loss": 7.122, + "loss/crossentropy": 1.4771035015583038, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.20891831442713737, + "step": 1057 + }, + { + "epoch": 0.17633333333333334, + "grad_norm": 30.375, + "grad_norm_var": 14.126822916666667, + "learning_rate": 9.253596921807759e-05, + "loss": 6.7827, + "loss/crossentropy": 1.6926728934049606, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.1915021948516369, + "step": 1058 + }, + { + "epoch": 0.1765, + "grad_norm": 32.75, + "grad_norm_var": 14.234830729166667, + "learning_rate": 9.252220268494337e-05, + "loss": 7.4013, + "loss/crossentropy": 1.3703967481851578, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.15270237810909748, + "step": 1059 + }, + { + "epoch": 0.17666666666666667, + "grad_norm": 29.25, + "grad_norm_var": 14.322916666666666, + "learning_rate": 9.250842449410611e-05, + "loss": 7.0274, + "loss/crossentropy": 2.548193573951721, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.19006280973553658, + "step": 1060 + }, + { + "epoch": 0.17683333333333334, + "grad_norm": 30.375, + "grad_norm_var": 14.001041666666667, + "learning_rate": 9.249463464934321e-05, + "loss": 6.9488, + "loss/crossentropy": 1.3754972219467163, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.14112510904669762, + "step": 1061 + }, + { + "epoch": 0.177, + "grad_norm": 33.5, + "grad_norm_var": 14.192643229166666, + "learning_rate": 9.248083315443518e-05, + "loss": 7.0641, + "loss/crossentropy": 1.5374733209609985, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.12394630908966064, + "step": 1062 + }, + { + "epoch": 0.17716666666666667, + "grad_norm": 28.75, + "grad_norm_var": 14.357747395833334, + "learning_rate": 9.246702001316583e-05, + "loss": 6.9103, + "loss/crossentropy": 2.03630730509758, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.1795985884964466, + "step": 1063 + }, + { + "epoch": 0.17733333333333334, + "grad_norm": 29.5, + "grad_norm_var": 6.176497395833334, + "learning_rate": 9.245319522932209e-05, + "loss": 7.3536, + "loss/crossentropy": 2.339617282152176, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.17432091012597084, + "step": 1064 + }, + { + "epoch": 0.1775, + "grad_norm": 31.25, + "grad_norm_var": 6.1916015625, + "learning_rate": 9.24393588066941e-05, + "loss": 7.3402, + "loss/crossentropy": 1.4889580011367798, + "loss/hidden": 3.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.20106740668416023, + "step": 1065 + }, + { + "epoch": 0.17766666666666667, + "grad_norm": 29.625, + "grad_norm_var": 6.12890625, + "learning_rate": 9.242551074907519e-05, + "loss": 7.707, + "loss/crossentropy": 1.8807732462882996, + "loss/hidden": 3.90234375, + "loss/jsd": 0.0, + "loss/logits": 0.28517602011561394, + "step": 1066 + }, + { + "epoch": 0.17783333333333334, + "grad_norm": 30.25, + "grad_norm_var": 2.84375, + "learning_rate": 9.241165106026189e-05, + "loss": 7.6607, + "loss/crossentropy": 1.5485778898000717, + "loss/hidden": 3.859375, + "loss/jsd": 0.0, + "loss/logits": 0.23636030405759811, + "step": 1067 + }, + { + "epoch": 0.178, + "grad_norm": 31.75, + "grad_norm_var": 2.414322916666667, + "learning_rate": 9.239777974405393e-05, + "loss": 7.3144, + "loss/crossentropy": 1.7089111506938934, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.147063210606575, + "step": 1068 + }, + { + "epoch": 0.17816666666666667, + "grad_norm": 31.625, + "grad_norm_var": 2.220572916666667, + "learning_rate": 9.238389680425416e-05, + "loss": 6.937, + "loss/crossentropy": 1.6708162426948547, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.15234573185443878, + "step": 1069 + }, + { + "epoch": 0.17833333333333334, + "grad_norm": 30.75, + "grad_norm_var": 2.2202473958333333, + "learning_rate": 9.237000224466872e-05, + "loss": 7.5136, + "loss/crossentropy": 1.8323483765125275, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.26327143609523773, + "step": 1070 + }, + { + "epoch": 0.1785, + "grad_norm": 30.75, + "grad_norm_var": 1.8499348958333333, + "learning_rate": 9.235609606910687e-05, + "loss": 6.8242, + "loss/crossentropy": 1.695602685213089, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.13594901375472546, + "step": 1071 + }, + { + "epoch": 0.17866666666666667, + "grad_norm": 27.25, + "grad_norm_var": 2.5317057291666667, + "learning_rate": 9.234217828138104e-05, + "loss": 7.1028, + "loss/crossentropy": 1.7536567747592926, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.18050695396959782, + "step": 1072 + }, + { + "epoch": 0.17883333333333334, + "grad_norm": 31.25, + "grad_norm_var": 2.341666666666667, + "learning_rate": 9.23282488853069e-05, + "loss": 7.1524, + "loss/crossentropy": 1.9407530725002289, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1710616685450077, + "step": 1073 + }, + { + "epoch": 0.179, + "grad_norm": 29.375, + "grad_norm_var": 2.4291666666666667, + "learning_rate": 9.231430788470326e-05, + "loss": 7.1724, + "loss/crossentropy": 1.5481340885162354, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.2104547992348671, + "step": 1074 + }, + { + "epoch": 0.17916666666666667, + "grad_norm": 30.0, + "grad_norm_var": 2.0768229166666665, + "learning_rate": 9.230035528339211e-05, + "loss": 7.3203, + "loss/crossentropy": 1.7858853340148926, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.15118434838950634, + "step": 1075 + }, + { + "epoch": 0.17933333333333334, + "grad_norm": 30.25, + "grad_norm_var": 1.9955729166666667, + "learning_rate": 9.228639108519868e-05, + "loss": 7.2717, + "loss/crossentropy": 1.5924931764602661, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.2723642699420452, + "step": 1076 + }, + { + "epoch": 0.1795, + "grad_norm": 33.75, + "grad_norm_var": 2.700455729166667, + "learning_rate": 9.227241529395127e-05, + "loss": 7.5044, + "loss/crossentropy": 1.6551357507705688, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.2343754842877388, + "step": 1077 + }, + { + "epoch": 0.17966666666666667, + "grad_norm": 29.125, + "grad_norm_var": 2.2059895833333334, + "learning_rate": 9.225842791348149e-05, + "loss": 6.7824, + "loss/crossentropy": 1.294097363948822, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.17944151908159256, + "step": 1078 + }, + { + "epoch": 0.17983333333333335, + "grad_norm": 30.0, + "grad_norm_var": 2.040625, + "learning_rate": 9.224442894762401e-05, + "loss": 7.2718, + "loss/crossentropy": 1.9110237658023834, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.22192451357841492, + "step": 1079 + }, + { + "epoch": 0.18, + "grad_norm": 33.25, + "grad_norm_var": 2.46640625, + "learning_rate": 9.223041840021674e-05, + "loss": 7.1671, + "loss/crossentropy": 1.4245515018701553, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.17833401262760162, + "step": 1080 + }, + { + "epoch": 0.18016666666666667, + "grad_norm": 29.5, + "grad_norm_var": 2.515625, + "learning_rate": 9.221639627510076e-05, + "loss": 7.2023, + "loss/crossentropy": 2.0501048266887665, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.20859062112867832, + "step": 1081 + }, + { + "epoch": 0.18033333333333335, + "grad_norm": 29.5, + "grad_norm_var": 2.5317057291666667, + "learning_rate": 9.220236257612031e-05, + "loss": 6.7608, + "loss/crossentropy": 1.6907588839530945, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.16623044945299625, + "step": 1082 + }, + { + "epoch": 0.1805, + "grad_norm": 30.5, + "grad_norm_var": 2.526497395833333, + "learning_rate": 9.21883173071228e-05, + "loss": 7.3174, + "loss/crossentropy": 1.2606586515903473, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1489721965044737, + "step": 1083 + }, + { + "epoch": 0.18066666666666667, + "grad_norm": 31.0, + "grad_norm_var": 2.440559895833333, + "learning_rate": 9.217426047195882e-05, + "loss": 7.6918, + "loss/crossentropy": 2.292267620563507, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.22536378726363182, + "step": 1084 + }, + { + "epoch": 0.18083333333333335, + "grad_norm": 29.375, + "grad_norm_var": 2.417122395833333, + "learning_rate": 9.216019207448217e-05, + "loss": 7.0151, + "loss/crossentropy": 1.3078829050064087, + "loss/hidden": 4.015625, + "loss/jsd": 0.0, + "loss/logits": 0.1706789880990982, + "step": 1085 + }, + { + "epoch": 0.181, + "grad_norm": 31.5, + "grad_norm_var": 2.4921223958333334, + "learning_rate": 9.214611211854974e-05, + "loss": 7.3649, + "loss/crossentropy": 2.1642357409000397, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.22923363372683525, + "step": 1086 + }, + { + "epoch": 0.18116666666666667, + "grad_norm": 30.125, + "grad_norm_var": 2.4872395833333334, + "learning_rate": 9.213202060802161e-05, + "loss": 7.0883, + "loss/crossentropy": 1.0673165619373322, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.16823571175336838, + "step": 1087 + }, + { + "epoch": 0.18133333333333335, + "grad_norm": 32.5, + "grad_norm_var": 2.033333333333333, + "learning_rate": 9.21179175467611e-05, + "loss": 7.2322, + "loss/crossentropy": 1.8726580739021301, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.15625272691249847, + "step": 1088 + }, + { + "epoch": 0.1815, + "grad_norm": 28.75, + "grad_norm_var": 2.236458333333333, + "learning_rate": 9.210380293863462e-05, + "loss": 6.9307, + "loss/crossentropy": 1.1443600505590439, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.20036842301487923, + "step": 1089 + }, + { + "epoch": 0.18166666666666667, + "grad_norm": 29.25, + "grad_norm_var": 2.256705729166667, + "learning_rate": 9.208967678751177e-05, + "loss": 7.1227, + "loss/crossentropy": 1.539658635854721, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.2563717756420374, + "step": 1090 + }, + { + "epoch": 0.18183333333333335, + "grad_norm": 32.75, + "grad_norm_var": 2.5374348958333335, + "learning_rate": 9.207553909726531e-05, + "loss": 7.55, + "loss/crossentropy": 1.9002563059329987, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.25357599928975105, + "step": 1091 + }, + { + "epoch": 0.182, + "grad_norm": 34.25, + "grad_norm_var": 3.299934895833333, + "learning_rate": 9.206138987177118e-05, + "loss": 7.6483, + "loss/crossentropy": 1.6798991560935974, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.2713388651609421, + "step": 1092 + }, + { + "epoch": 0.18216666666666667, + "grad_norm": 29.25, + "grad_norm_var": 2.8827473958333334, + "learning_rate": 9.204722911490846e-05, + "loss": 7.3469, + "loss/crossentropy": 2.151069074869156, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1687615904957056, + "step": 1093 + }, + { + "epoch": 0.18233333333333332, + "grad_norm": 29.5, + "grad_norm_var": 2.814583333333333, + "learning_rate": 9.20330568305594e-05, + "loss": 7.0395, + "loss/crossentropy": 1.7675020694732666, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.17254584282636642, + "step": 1094 + }, + { + "epoch": 0.1825, + "grad_norm": 30.375, + "grad_norm_var": 2.7889973958333334, + "learning_rate": 9.201887302260943e-05, + "loss": 7.6286, + "loss/crossentropy": 1.4319088160991669, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1769372746348381, + "step": 1095 + }, + { + "epoch": 0.18266666666666667, + "grad_norm": 29.75, + "grad_norm_var": 2.3697265625, + "learning_rate": 9.20046776949471e-05, + "loss": 7.0073, + "loss/crossentropy": 0.9747176170349121, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.1367714675143361, + "step": 1096 + }, + { + "epoch": 0.18283333333333332, + "grad_norm": 28.375, + "grad_norm_var": 2.59765625, + "learning_rate": 9.199047085146415e-05, + "loss": 6.9152, + "loss/crossentropy": 1.8448036015033722, + "loss/hidden": 3.1796875, + "loss/jsd": 0.0, + "loss/logits": 0.1561015024781227, + "step": 1097 + }, + { + "epoch": 0.183, + "grad_norm": 30.875, + "grad_norm_var": 2.5468098958333334, + "learning_rate": 9.197625249605546e-05, + "loss": 7.5927, + "loss/crossentropy": 1.6145085394382477, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.21670781075954437, + "step": 1098 + }, + { + "epoch": 0.18316666666666667, + "grad_norm": 29.375, + "grad_norm_var": 2.627083333333333, + "learning_rate": 9.196202263261908e-05, + "loss": 6.9341, + "loss/crossentropy": 1.88466215133667, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.228733841329813, + "step": 1099 + }, + { + "epoch": 0.18333333333333332, + "grad_norm": 29.375, + "grad_norm_var": 2.6702473958333335, + "learning_rate": 9.194778126505621e-05, + "loss": 7.2048, + "loss/crossentropy": 1.3676262497901917, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.1408743243664503, + "step": 1100 + }, + { + "epoch": 0.1835, + "grad_norm": 31.0, + "grad_norm_var": 2.627083333333333, + "learning_rate": 9.193352839727121e-05, + "loss": 7.0562, + "loss/crossentropy": 1.430459812283516, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.17401222698390484, + "step": 1101 + }, + { + "epoch": 0.18366666666666667, + "grad_norm": 30.375, + "grad_norm_var": 2.5468098958333334, + "learning_rate": 9.191926403317155e-05, + "loss": 7.1413, + "loss/crossentropy": 1.951472908258438, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.19395877420902252, + "step": 1102 + }, + { + "epoch": 0.18383333333333332, + "grad_norm": 31.625, + "grad_norm_var": 2.6389973958333335, + "learning_rate": 9.190498817666793e-05, + "loss": 7.2435, + "loss/crossentropy": 1.633792757987976, + "loss/hidden": 3.8671875, + "loss/jsd": 0.0, + "loss/logits": 0.2615926116704941, + "step": 1103 + }, + { + "epoch": 0.184, + "grad_norm": 32.0, + "grad_norm_var": 2.518684895833333, + "learning_rate": 9.189070083167411e-05, + "loss": 7.6263, + "loss/crossentropy": 1.7993624210357666, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.2677503116428852, + "step": 1104 + }, + { + "epoch": 0.18416666666666667, + "grad_norm": 30.0, + "grad_norm_var": 2.3363932291666667, + "learning_rate": 9.18764020021071e-05, + "loss": 6.9299, + "loss/crossentropy": 1.8217281103134155, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17948501370847225, + "step": 1105 + }, + { + "epoch": 0.18433333333333332, + "grad_norm": 30.125, + "grad_norm_var": 2.2375, + "learning_rate": 9.186209169188695e-05, + "loss": 7.4359, + "loss/crossentropy": 1.954070895910263, + "loss/hidden": 3.83984375, + "loss/jsd": 0.0, + "loss/logits": 0.21222223341464996, + "step": 1106 + }, + { + "epoch": 0.1845, + "grad_norm": 29.875, + "grad_norm_var": 1.9155598958333333, + "learning_rate": 9.184776990493695e-05, + "loss": 7.0956, + "loss/crossentropy": 1.234974890947342, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.21905330382287502, + "step": 1107 + }, + { + "epoch": 0.18466666666666667, + "grad_norm": 29.875, + "grad_norm_var": 0.8559895833333333, + "learning_rate": 9.183343664518348e-05, + "loss": 7.0289, + "loss/crossentropy": 1.3418802618980408, + "loss/hidden": 3.96875, + "loss/jsd": 0.0, + "loss/logits": 0.18474972620606422, + "step": 1108 + }, + { + "epoch": 0.18483333333333332, + "grad_norm": 32.25, + "grad_norm_var": 1.0747395833333333, + "learning_rate": 9.181909191655612e-05, + "loss": 7.2423, + "loss/crossentropy": 1.1905895471572876, + "loss/hidden": 3.78125, + "loss/jsd": 0.0, + "loss/logits": 0.17837058566510677, + "step": 1109 + }, + { + "epoch": 0.185, + "grad_norm": 30.875, + "grad_norm_var": 1.0468098958333334, + "learning_rate": 9.180473572298751e-05, + "loss": 7.2901, + "loss/crossentropy": 1.6753973066806793, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.17351505905389786, + "step": 1110 + }, + { + "epoch": 0.18516666666666667, + "grad_norm": 30.25, + "grad_norm_var": 1.0479166666666666, + "learning_rate": 9.179036806841353e-05, + "loss": 7.511, + "loss/crossentropy": 2.0897219479084015, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.24179621413350105, + "step": 1111 + }, + { + "epoch": 0.18533333333333332, + "grad_norm": 33.25, + "grad_norm_var": 1.521875, + "learning_rate": 9.177598895677309e-05, + "loss": 7.1737, + "loss/crossentropy": 1.7134060561656952, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.19625892862677574, + "step": 1112 + }, + { + "epoch": 0.1855, + "grad_norm": 30.75, + "grad_norm_var": 1.1718098958333334, + "learning_rate": 9.176159839200838e-05, + "loss": 6.9251, + "loss/crossentropy": 1.5371767282485962, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.20032985508441925, + "step": 1113 + }, + { + "epoch": 0.18566666666666667, + "grad_norm": 30.125, + "grad_norm_var": 1.1936848958333333, + "learning_rate": 9.17471963780646e-05, + "loss": 6.7028, + "loss/crossentropy": 1.7134927213191986, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18902384862303734, + "step": 1114 + }, + { + "epoch": 0.18583333333333332, + "grad_norm": 28.625, + "grad_norm_var": 1.3608723958333333, + "learning_rate": 9.173278291889015e-05, + "loss": 7.036, + "loss/crossentropy": 1.5526778548955917, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.16117258742451668, + "step": 1115 + }, + { + "epoch": 0.186, + "grad_norm": 29.25, + "grad_norm_var": 1.3830729166666667, + "learning_rate": 9.171835801843658e-05, + "loss": 7.3174, + "loss/crossentropy": 1.6507572382688522, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.1393357813358307, + "step": 1116 + }, + { + "epoch": 0.18616666666666667, + "grad_norm": 31.375, + "grad_norm_var": 1.4098307291666667, + "learning_rate": 9.170392168065857e-05, + "loss": 7.4685, + "loss/crossentropy": 1.1459402590990067, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.14188237488269806, + "step": 1117 + }, + { + "epoch": 0.18633333333333332, + "grad_norm": 29.0, + "grad_norm_var": 1.5809895833333334, + "learning_rate": 9.168947390951388e-05, + "loss": 7.1813, + "loss/crossentropy": 1.8640584349632263, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.2659045271575451, + "step": 1118 + }, + { + "epoch": 0.1865, + "grad_norm": 32.5, + "grad_norm_var": 1.7509765625, + "learning_rate": 9.167501470896349e-05, + "loss": 7.7581, + "loss/crossentropy": 2.0622823238372803, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.29800528287887573, + "step": 1119 + }, + { + "epoch": 0.18666666666666668, + "grad_norm": 28.25, + "grad_norm_var": 1.9462890625, + "learning_rate": 9.166054408297145e-05, + "loss": 6.8545, + "loss/crossentropy": 1.8968719244003296, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.19029945507645607, + "step": 1120 + }, + { + "epoch": 0.18683333333333332, + "grad_norm": 30.25, + "grad_norm_var": 1.9369140625, + "learning_rate": 9.164606203550497e-05, + "loss": 7.1498, + "loss/crossentropy": 1.6898181438446045, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.14866111241281033, + "step": 1121 + }, + { + "epoch": 0.187, + "grad_norm": 37.25, + "grad_norm_var": 4.83515625, + "learning_rate": 9.16315685705344e-05, + "loss": 7.2064, + "loss/crossentropy": 1.9527091979980469, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.16515155881643295, + "step": 1122 + }, + { + "epoch": 0.18716666666666668, + "grad_norm": 35.0, + "grad_norm_var": 5.8041015625, + "learning_rate": 9.161706369203317e-05, + "loss": 7.0782, + "loss/crossentropy": 2.214310497045517, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.2078092135488987, + "step": 1123 + }, + { + "epoch": 0.18733333333333332, + "grad_norm": 29.5, + "grad_norm_var": 5.878125, + "learning_rate": 9.160254740397791e-05, + "loss": 7.0496, + "loss/crossentropy": 1.6759832054376602, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.23697318509221077, + "step": 1124 + }, + { + "epoch": 0.1875, + "grad_norm": 30.375, + "grad_norm_var": 5.8244140625, + "learning_rate": 9.158801971034832e-05, + "loss": 7.1634, + "loss/crossentropy": 1.6485983282327652, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.1524697132408619, + "step": 1125 + }, + { + "epoch": 0.18766666666666668, + "grad_norm": 29.5, + "grad_norm_var": 5.97265625, + "learning_rate": 9.157348061512727e-05, + "loss": 6.9883, + "loss/crossentropy": 1.90101557970047, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.14513207040727139, + "step": 1126 + }, + { + "epoch": 0.18783333333333332, + "grad_norm": 29.875, + "grad_norm_var": 6.0166015625, + "learning_rate": 9.15589301223007e-05, + "loss": 6.9935, + "loss/crossentropy": 1.2328452542424202, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.19398222211748362, + "step": 1127 + }, + { + "epoch": 0.188, + "grad_norm": 27.125, + "grad_norm_var": 6.46640625, + "learning_rate": 9.154436823585777e-05, + "loss": 6.7857, + "loss/crossentropy": 1.3963468447327614, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.15472635626792908, + "step": 1128 + }, + { + "epoch": 0.18816666666666668, + "grad_norm": 30.0, + "grad_norm_var": 6.48125, + "learning_rate": 9.152979495979063e-05, + "loss": 7.136, + "loss/crossentropy": 2.2000677585601807, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.17560309544205666, + "step": 1129 + }, + { + "epoch": 0.18833333333333332, + "grad_norm": 30.0, + "grad_norm_var": 6.4884765625, + "learning_rate": 9.151521029809469e-05, + "loss": 7.5217, + "loss/crossentropy": 1.9590549767017365, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.17268436029553413, + "step": 1130 + }, + { + "epoch": 0.1885, + "grad_norm": 31.0, + "grad_norm_var": 6.249739583333334, + "learning_rate": 9.150061425476838e-05, + "loss": 7.6719, + "loss/crossentropy": 1.4692141264677048, + "loss/hidden": 3.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.22101164050400257, + "step": 1131 + }, + { + "epoch": 0.18866666666666668, + "grad_norm": 29.125, + "grad_norm_var": 6.273893229166666, + "learning_rate": 9.14860068338133e-05, + "loss": 7.1382, + "loss/crossentropy": 1.3053969889879227, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.18069183453917503, + "step": 1132 + }, + { + "epoch": 0.18883333333333333, + "grad_norm": 29.5, + "grad_norm_var": 6.308072916666666, + "learning_rate": 9.147138803923416e-05, + "loss": 7.2155, + "loss/crossentropy": 1.490529328584671, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1413809834048152, + "step": 1133 + }, + { + "epoch": 0.189, + "grad_norm": 30.5, + "grad_norm_var": 6.145572916666667, + "learning_rate": 9.145675787503878e-05, + "loss": 7.4358, + "loss/crossentropy": 1.9087640345096588, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.24026436731219292, + "step": 1134 + }, + { + "epoch": 0.18916666666666668, + "grad_norm": 29.875, + "grad_norm_var": 5.914518229166666, + "learning_rate": 9.14421163452381e-05, + "loss": 7.447, + "loss/crossentropy": 1.5070382356643677, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.2686901167035103, + "step": 1135 + }, + { + "epoch": 0.18933333333333333, + "grad_norm": 30.125, + "grad_norm_var": 5.585416666666666, + "learning_rate": 9.142746345384619e-05, + "loss": 7.2418, + "loss/crossentropy": 1.4398823231458664, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.1659804955124855, + "step": 1136 + }, + { + "epoch": 0.1895, + "grad_norm": 31.125, + "grad_norm_var": 5.596809895833333, + "learning_rate": 9.141279920488021e-05, + "loss": 7.0661, + "loss/crossentropy": 1.9212416410446167, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.17001407593488693, + "step": 1137 + }, + { + "epoch": 0.18966666666666668, + "grad_norm": 30.625, + "grad_norm_var": 2.4809895833333333, + "learning_rate": 9.139812360236046e-05, + "loss": 7.1941, + "loss/crossentropy": 1.8251923620700836, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.14800377935171127, + "step": 1138 + }, + { + "epoch": 0.18983333333333333, + "grad_norm": 29.0, + "grad_norm_var": 0.8934895833333333, + "learning_rate": 9.138343665031033e-05, + "loss": 7.3292, + "loss/crossentropy": 1.8601129055023193, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.17241744697093964, + "step": 1139 + }, + { + "epoch": 0.19, + "grad_norm": 29.75, + "grad_norm_var": 0.8864583333333333, + "learning_rate": 9.136873835275633e-05, + "loss": 6.8716, + "loss/crossentropy": 1.8089761137962341, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.15974725037813187, + "step": 1140 + }, + { + "epoch": 0.19016666666666668, + "grad_norm": 29.875, + "grad_norm_var": 0.8666666666666667, + "learning_rate": 9.135402871372808e-05, + "loss": 7.2061, + "loss/crossentropy": 1.6150592416524887, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.24301055073738098, + "step": 1141 + }, + { + "epoch": 0.19033333333333333, + "grad_norm": 31.125, + "grad_norm_var": 0.9639973958333333, + "learning_rate": 9.133930773725834e-05, + "loss": 7.3628, + "loss/crossentropy": 1.563875988125801, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.17582198977470398, + "step": 1142 + }, + { + "epoch": 0.1905, + "grad_norm": 31.875, + "grad_norm_var": 1.2035807291666667, + "learning_rate": 9.132457542738292e-05, + "loss": 7.1857, + "loss/crossentropy": 1.9527733027935028, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.1798405796289444, + "step": 1143 + }, + { + "epoch": 0.19066666666666668, + "grad_norm": 29.125, + "grad_norm_var": 0.6764973958333333, + "learning_rate": 9.130983178814077e-05, + "loss": 7.0687, + "loss/crossentropy": 1.369474709033966, + "loss/hidden": 3.8671875, + "loss/jsd": 0.0, + "loss/logits": 0.1982022561132908, + "step": 1144 + }, + { + "epoch": 0.19083333333333333, + "grad_norm": 28.875, + "grad_norm_var": 0.7802083333333333, + "learning_rate": 9.129507682357394e-05, + "loss": 7.1149, + "loss/crossentropy": 1.894842118024826, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.20691284909844398, + "step": 1145 + }, + { + "epoch": 0.191, + "grad_norm": 29.0, + "grad_norm_var": 0.8552083333333333, + "learning_rate": 9.128031053772759e-05, + "loss": 6.9229, + "loss/crossentropy": 1.3835454285144806, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.15358954295516014, + "step": 1146 + }, + { + "epoch": 0.19116666666666668, + "grad_norm": 29.75, + "grad_norm_var": 0.79140625, + "learning_rate": 9.126553293464998e-05, + "loss": 7.4438, + "loss/crossentropy": 2.2602747678756714, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.1918497011065483, + "step": 1147 + }, + { + "epoch": 0.19133333333333333, + "grad_norm": 32.0, + "grad_norm_var": 0.9905598958333334, + "learning_rate": 9.125074401839249e-05, + "loss": 7.5072, + "loss/crossentropy": 1.7223348915576935, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.20392953604459763, + "step": 1148 + }, + { + "epoch": 0.1915, + "grad_norm": 30.5, + "grad_norm_var": 0.9686848958333333, + "learning_rate": 9.123594379300955e-05, + "loss": 6.8108, + "loss/crossentropy": 1.5406135469675064, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.15648524276912212, + "step": 1149 + }, + { + "epoch": 0.19166666666666668, + "grad_norm": 31.25, + "grad_norm_var": 1.0343098958333334, + "learning_rate": 9.122113226255877e-05, + "loss": 7.2257, + "loss/crossentropy": 1.7266594469547272, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1957474946975708, + "step": 1150 + }, + { + "epoch": 0.19183333333333333, + "grad_norm": 26.75, + "grad_norm_var": 1.79765625, + "learning_rate": 9.120630943110077e-05, + "loss": 7.0052, + "loss/crossentropy": 2.1635193824768066, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1783377081155777, + "step": 1151 + }, + { + "epoch": 0.192, + "grad_norm": 30.75, + "grad_norm_var": 1.8285807291666667, + "learning_rate": 9.119147530269937e-05, + "loss": 7.5332, + "loss/crossentropy": 1.8073493093252182, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.2292596623301506, + "step": 1152 + }, + { + "epoch": 0.19216666666666668, + "grad_norm": 30.0, + "grad_norm_var": 1.7518229166666666, + "learning_rate": 9.117662988142138e-05, + "loss": 7.1552, + "loss/crossentropy": 2.0263662338256836, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.23550377786159515, + "step": 1153 + }, + { + "epoch": 0.19233333333333333, + "grad_norm": 36.0, + "grad_norm_var": 3.9942057291666666, + "learning_rate": 9.116177317133676e-05, + "loss": 7.9774, + "loss/crossentropy": 1.7365905940532684, + "loss/hidden": 3.875, + "loss/jsd": 0.0, + "loss/logits": 0.2624204382300377, + "step": 1154 + }, + { + "epoch": 0.1925, + "grad_norm": 34.0, + "grad_norm_var": 4.6556640625, + "learning_rate": 9.114690517651859e-05, + "loss": 7.4115, + "loss/crossentropy": 2.2122086882591248, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.19748417660593987, + "step": 1155 + }, + { + "epoch": 0.19266666666666668, + "grad_norm": 28.5, + "grad_norm_var": 4.9056640625, + "learning_rate": 9.1132025901043e-05, + "loss": 7.2611, + "loss/crossentropy": 1.843263953924179, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.14568496495485306, + "step": 1156 + }, + { + "epoch": 0.19283333333333333, + "grad_norm": 29.75, + "grad_norm_var": 4.918489583333334, + "learning_rate": 9.111713534898922e-05, + "loss": 7.6664, + "loss/crossentropy": 1.7872939705848694, + "loss/hidden": 3.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.27959929779171944, + "step": 1157 + }, + { + "epoch": 0.193, + "grad_norm": 29.5, + "grad_norm_var": 4.9650390625, + "learning_rate": 9.110223352443958e-05, + "loss": 7.2427, + "loss/crossentropy": 1.67998605966568, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.23278993926942348, + "step": 1158 + }, + { + "epoch": 0.19316666666666665, + "grad_norm": 30.75, + "grad_norm_var": 4.834375, + "learning_rate": 9.108732043147952e-05, + "loss": 6.9476, + "loss/crossentropy": 1.9119806289672852, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.1615016683936119, + "step": 1159 + }, + { + "epoch": 0.19333333333333333, + "grad_norm": 30.125, + "grad_norm_var": 4.726041666666666, + "learning_rate": 9.107239607419753e-05, + "loss": 6.8848, + "loss/crossentropy": 2.1190615743398666, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.1532793641090393, + "step": 1160 + }, + { + "epoch": 0.1935, + "grad_norm": 30.125, + "grad_norm_var": 4.558072916666666, + "learning_rate": 9.105746045668521e-05, + "loss": 7.4131, + "loss/crossentropy": 1.9063195884227753, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.19840717688202858, + "step": 1161 + }, + { + "epoch": 0.19366666666666665, + "grad_norm": 30.375, + "grad_norm_var": 4.392643229166667, + "learning_rate": 9.104251358303724e-05, + "loss": 7.3765, + "loss/crossentropy": 2.0767466723918915, + "loss/hidden": 3.78125, + "loss/jsd": 0.0, + "loss/logits": 0.19928371161222458, + "step": 1162 + }, + { + "epoch": 0.19383333333333333, + "grad_norm": 30.25, + "grad_norm_var": 4.3494140625, + "learning_rate": 9.102755545735141e-05, + "loss": 7.0533, + "loss/crossentropy": 1.630551353096962, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.20199225470423698, + "step": 1163 + }, + { + "epoch": 0.194, + "grad_norm": 31.125, + "grad_norm_var": 4.24140625, + "learning_rate": 9.101258608372856e-05, + "loss": 7.5036, + "loss/crossentropy": 1.3316044062376022, + "loss/hidden": 3.8125, + "loss/jsd": 0.0, + "loss/logits": 0.2553766742348671, + "step": 1164 + }, + { + "epoch": 0.19416666666666665, + "grad_norm": 30.5, + "grad_norm_var": 4.24140625, + "learning_rate": 9.099760546627261e-05, + "loss": 7.1157, + "loss/crossentropy": 1.532670795917511, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1587374359369278, + "step": 1165 + }, + { + "epoch": 0.19433333333333333, + "grad_norm": 30.625, + "grad_norm_var": 4.212434895833334, + "learning_rate": 9.098261360909064e-05, + "loss": 7.2771, + "loss/crossentropy": 2.0286777317523956, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.19840383157134056, + "step": 1166 + }, + { + "epoch": 0.1945, + "grad_norm": 30.375, + "grad_norm_var": 3.187239583333333, + "learning_rate": 9.096761051629268e-05, + "loss": 7.3572, + "loss/crossentropy": 1.5462962836027145, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1618911810219288, + "step": 1167 + }, + { + "epoch": 0.19466666666666665, + "grad_norm": 27.75, + "grad_norm_var": 3.7684895833333334, + "learning_rate": 9.095259619199197e-05, + "loss": 7.0961, + "loss/crossentropy": 1.906777799129486, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.19005262665450573, + "step": 1168 + }, + { + "epoch": 0.19483333333333333, + "grad_norm": 29.625, + "grad_norm_var": 3.807747395833333, + "learning_rate": 9.093757064030473e-05, + "loss": 6.9761, + "loss/crossentropy": 1.4600431770086288, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.2671759743243456, + "step": 1169 + }, + { + "epoch": 0.195, + "grad_norm": 30.0, + "grad_norm_var": 1.7264973958333334, + "learning_rate": 9.092253386535032e-05, + "loss": 7.2576, + "loss/crossentropy": 1.9618641138076782, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.2775069437921047, + "step": 1170 + }, + { + "epoch": 0.19516666666666665, + "grad_norm": 29.125, + "grad_norm_var": 0.7489583333333333, + "learning_rate": 9.090748587125118e-05, + "loss": 7.1906, + "loss/crossentropy": 1.6897124648094177, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.18094610795378685, + "step": 1171 + }, + { + "epoch": 0.19533333333333333, + "grad_norm": 29.75, + "grad_norm_var": 0.6122395833333333, + "learning_rate": 9.089242666213276e-05, + "loss": 7.2124, + "loss/crossentropy": 1.7875485718250275, + "loss/hidden": 3.765625, + "loss/jsd": 0.0, + "loss/logits": 0.2697015330195427, + "step": 1172 + }, + { + "epoch": 0.1955, + "grad_norm": 30.75, + "grad_norm_var": 0.6434895833333333, + "learning_rate": 9.087735624212365e-05, + "loss": 7.2829, + "loss/crossentropy": 1.5107744634151459, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.1898435726761818, + "step": 1173 + }, + { + "epoch": 0.19566666666666666, + "grad_norm": 31.75, + "grad_norm_var": 0.7958333333333333, + "learning_rate": 9.08622746153555e-05, + "loss": 7.0894, + "loss/crossentropy": 1.4352801144123077, + "loss/hidden": 3.80078125, + "loss/jsd": 0.0, + "loss/logits": 0.1781257726252079, + "step": 1174 + }, + { + "epoch": 0.19583333333333333, + "grad_norm": 32.75, + "grad_norm_var": 1.1958333333333333, + "learning_rate": 9.084718178596301e-05, + "loss": 7.277, + "loss/crossentropy": 1.860286682844162, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.22503403574228287, + "step": 1175 + }, + { + "epoch": 0.196, + "grad_norm": 30.25, + "grad_norm_var": 1.1936848958333333, + "learning_rate": 9.083207775808396e-05, + "loss": 7.2784, + "loss/crossentropy": 1.7108961418271065, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.15173084288835526, + "step": 1176 + }, + { + "epoch": 0.19616666666666666, + "grad_norm": 29.0, + "grad_norm_var": 1.3020833333333333, + "learning_rate": 9.081696253585921e-05, + "loss": 7.3191, + "loss/crossentropy": 1.9792208075523376, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.17990920320153236, + "step": 1177 + }, + { + "epoch": 0.19633333333333333, + "grad_norm": 29.875, + "grad_norm_var": 1.309375, + "learning_rate": 9.080183612343268e-05, + "loss": 7.5557, + "loss/crossentropy": 2.3596280813217163, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.2835410051047802, + "step": 1178 + }, + { + "epoch": 0.1965, + "grad_norm": 29.875, + "grad_norm_var": 1.3166015625, + "learning_rate": 9.078669852495138e-05, + "loss": 7.249, + "loss/crossentropy": 1.1893167048692703, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.136909831315279, + "step": 1179 + }, + { + "epoch": 0.19666666666666666, + "grad_norm": 30.375, + "grad_norm_var": 1.2587890625, + "learning_rate": 9.077154974456534e-05, + "loss": 7.1863, + "loss/crossentropy": 1.8959875404834747, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.2790988143533468, + "step": 1180 + }, + { + "epoch": 0.19683333333333333, + "grad_norm": 32.25, + "grad_norm_var": 1.5322265625, + "learning_rate": 9.075638978642771e-05, + "loss": 6.9262, + "loss/crossentropy": 1.694694995880127, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.15728522092103958, + "step": 1181 + }, + { + "epoch": 0.197, + "grad_norm": 31.25, + "grad_norm_var": 1.5872395833333333, + "learning_rate": 9.074121865469467e-05, + "loss": 7.1031, + "loss/crossentropy": 1.5371995270252228, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.15807504951953888, + "step": 1182 + }, + { + "epoch": 0.19716666666666666, + "grad_norm": 30.0, + "grad_norm_var": 1.5921223958333333, + "learning_rate": 9.072603635352548e-05, + "loss": 7.24, + "loss/crossentropy": 1.2076034247875214, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.13693496398627758, + "step": 1183 + }, + { + "epoch": 0.19733333333333333, + "grad_norm": 30.75, + "grad_norm_var": 1.1452473958333333, + "learning_rate": 9.071084288708243e-05, + "loss": 7.5155, + "loss/crossentropy": 1.7932229936122894, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.18797968700528145, + "step": 1184 + }, + { + "epoch": 0.1975, + "grad_norm": 31.625, + "grad_norm_var": 1.1723307291666667, + "learning_rate": 9.069563825953092e-05, + "loss": 7.2881, + "loss/crossentropy": 2.2741920351982117, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.19049449265003204, + "step": 1185 + }, + { + "epoch": 0.19766666666666666, + "grad_norm": 31.625, + "grad_norm_var": 1.2104166666666667, + "learning_rate": 9.068042247503936e-05, + "loss": 7.3237, + "loss/crossentropy": 1.5595572590827942, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.22788817808032036, + "step": 1186 + }, + { + "epoch": 0.19783333333333333, + "grad_norm": 30.125, + "grad_norm_var": 1.0645833333333334, + "learning_rate": 9.066519553777926e-05, + "loss": 7.0393, + "loss/crossentropy": 2.3322206139564514, + "loss/hidden": 3.09375, + "loss/jsd": 0.0, + "loss/logits": 0.1544881910085678, + "step": 1187 + }, + { + "epoch": 0.198, + "grad_norm": 30.375, + "grad_norm_var": 1.0056640625, + "learning_rate": 9.064995745192518e-05, + "loss": 7.3183, + "loss/crossentropy": 1.702795296907425, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.2040167860686779, + "step": 1188 + }, + { + "epoch": 0.19816666666666666, + "grad_norm": 30.125, + "grad_norm_var": 1.0333333333333334, + "learning_rate": 9.06347082216547e-05, + "loss": 7.2569, + "loss/crossentropy": 1.6651965826749802, + "loss/hidden": 3.6875, + "loss/jsd": 0.0, + "loss/logits": 0.15890128910541534, + "step": 1189 + }, + { + "epoch": 0.19833333333333333, + "grad_norm": 33.25, + "grad_norm_var": 1.3739583333333334, + "learning_rate": 9.061944785114851e-05, + "loss": 7.5007, + "loss/crossentropy": 2.084866464138031, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.25188354402780533, + "step": 1190 + }, + { + "epoch": 0.1985, + "grad_norm": 30.25, + "grad_norm_var": 1.1291666666666667, + "learning_rate": 9.060417634459031e-05, + "loss": 7.2586, + "loss/crossentropy": 1.3702656924724579, + "loss/hidden": 3.78515625, + "loss/jsd": 0.0, + "loss/logits": 0.1672367975115776, + "step": 1191 + }, + { + "epoch": 0.19866666666666666, + "grad_norm": 30.375, + "grad_norm_var": 1.1228515625, + "learning_rate": 9.058889370616689e-05, + "loss": 7.313, + "loss/crossentropy": 1.6381755471229553, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.16992971114814281, + "step": 1192 + }, + { + "epoch": 0.19883333333333333, + "grad_norm": 31.875, + "grad_norm_var": 0.9895833333333334, + "learning_rate": 9.057359994006806e-05, + "loss": 7.135, + "loss/crossentropy": 1.7042577117681503, + "loss/hidden": 3.88671875, + "loss/jsd": 0.0, + "loss/logits": 0.2118433080613613, + "step": 1193 + }, + { + "epoch": 0.199, + "grad_norm": 39.25, + "grad_norm_var": 5.232747395833333, + "learning_rate": 9.055829505048667e-05, + "loss": 7.3896, + "loss/crossentropy": 1.9344637989997864, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.2457873746752739, + "step": 1194 + }, + { + "epoch": 0.19916666666666666, + "grad_norm": 32.75, + "grad_norm_var": 5.14140625, + "learning_rate": 9.054297904161868e-05, + "loss": 7.1646, + "loss/crossentropy": 1.8423065841197968, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.21592585556209087, + "step": 1195 + }, + { + "epoch": 0.19933333333333333, + "grad_norm": 30.0, + "grad_norm_var": 5.2134765625, + "learning_rate": 9.052765191766304e-05, + "loss": 6.9913, + "loss/crossentropy": 1.961957186460495, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16453684121370316, + "step": 1196 + }, + { + "epoch": 0.1995, + "grad_norm": 29.75, + "grad_norm_var": 5.3931640625, + "learning_rate": 9.051231368282177e-05, + "loss": 6.9762, + "loss/crossentropy": 1.8208012282848358, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.18695107102394104, + "step": 1197 + }, + { + "epoch": 0.19966666666666666, + "grad_norm": 31.0, + "grad_norm_var": 5.4041015625, + "learning_rate": 9.049696434129994e-05, + "loss": 7.3369, + "loss/crossentropy": 1.4807577729225159, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.15388921275734901, + "step": 1198 + }, + { + "epoch": 0.19983333333333334, + "grad_norm": 31.5, + "grad_norm_var": 5.2556640625, + "learning_rate": 9.048160389730566e-05, + "loss": 7.2248, + "loss/crossentropy": 1.916600614786148, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.26941858045756817, + "step": 1199 + }, + { + "epoch": 0.2, + "grad_norm": 32.0, + "grad_norm_var": 5.221809895833333, + "learning_rate": 9.046623235505007e-05, + "loss": 7.6083, + "loss/crossentropy": 2.1877745985984802, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.21679533645510674, + "step": 1200 + }, + { + "epoch": 0.20016666666666666, + "grad_norm": 32.0, + "grad_norm_var": 5.230989583333334, + "learning_rate": 9.045084971874738e-05, + "loss": 7.3891, + "loss/crossentropy": 1.656475082039833, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.16719500720500946, + "step": 1201 + }, + { + "epoch": 0.20033333333333334, + "grad_norm": 31.0, + "grad_norm_var": 5.256705729166667, + "learning_rate": 9.043545599261481e-05, + "loss": 7.1671, + "loss/crossentropy": 1.907217413187027, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.1764325574040413, + "step": 1202 + }, + { + "epoch": 0.2005, + "grad_norm": 28.125, + "grad_norm_var": 5.900455729166667, + "learning_rate": 9.042005118087267e-05, + "loss": 6.9449, + "loss/crossentropy": 2.289278507232666, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.19305343553423882, + "step": 1203 + }, + { + "epoch": 0.20066666666666666, + "grad_norm": 31.0, + "grad_norm_var": 5.833072916666667, + "learning_rate": 9.040463528774423e-05, + "loss": 7.091, + "loss/crossentropy": 1.8759718835353851, + "loss/hidden": 3.83984375, + "loss/jsd": 0.0, + "loss/logits": 0.32736699283123016, + "step": 1204 + }, + { + "epoch": 0.20083333333333334, + "grad_norm": 32.0, + "grad_norm_var": 5.705143229166667, + "learning_rate": 9.038920831745587e-05, + "loss": 7.3753, + "loss/crossentropy": 1.1482383757829666, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.19319440051913261, + "step": 1205 + }, + { + "epoch": 0.201, + "grad_norm": 29.125, + "grad_norm_var": 5.879166666666666, + "learning_rate": 9.0373770274237e-05, + "loss": 7.2135, + "loss/crossentropy": 1.4531298279762268, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.21289758384227753, + "step": 1206 + }, + { + "epoch": 0.20116666666666666, + "grad_norm": 31.375, + "grad_norm_var": 5.789518229166666, + "learning_rate": 9.035832116232001e-05, + "loss": 7.0233, + "loss/crossentropy": 1.523962140083313, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.17138102278113365, + "step": 1207 + }, + { + "epoch": 0.20133333333333334, + "grad_norm": 34.0, + "grad_norm_var": 6.093489583333334, + "learning_rate": 9.03428609859404e-05, + "loss": 7.3418, + "loss/crossentropy": 1.1653930693864822, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.1387856211513281, + "step": 1208 + }, + { + "epoch": 0.2015, + "grad_norm": 32.5, + "grad_norm_var": 6.134830729166667, + "learning_rate": 9.032738974933664e-05, + "loss": 7.213, + "loss/crossentropy": 1.0771423131227493, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.14415764808654785, + "step": 1209 + }, + { + "epoch": 0.20166666666666666, + "grad_norm": 30.25, + "grad_norm_var": 2.1504557291666666, + "learning_rate": 9.031190745675024e-05, + "loss": 6.9565, + "loss/crossentropy": 1.8841006457805634, + "loss/hidden": 3.91015625, + "loss/jsd": 0.0, + "loss/logits": 0.23506051301956177, + "step": 1210 + }, + { + "epoch": 0.20183333333333334, + "grad_norm": 33.25, + "grad_norm_var": 2.2728515625, + "learning_rate": 9.029641411242579e-05, + "loss": 7.5154, + "loss/crossentropy": 2.3743822276592255, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.22775381058454514, + "step": 1211 + }, + { + "epoch": 0.202, + "grad_norm": 30.25, + "grad_norm_var": 2.237434895833333, + "learning_rate": 9.028090972061088e-05, + "loss": 7.53, + "loss/crossentropy": 1.9960069805383682, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.1583007611334324, + "step": 1212 + }, + { + "epoch": 0.20216666666666666, + "grad_norm": 30.625, + "grad_norm_var": 2.1166666666666667, + "learning_rate": 9.02653942855561e-05, + "loss": 7.3417, + "loss/crossentropy": 1.8124405890703201, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.19223373383283615, + "step": 1213 + }, + { + "epoch": 0.20233333333333334, + "grad_norm": 30.625, + "grad_norm_var": 2.137955729166667, + "learning_rate": 9.024986781151512e-05, + "loss": 7.1486, + "loss/crossentropy": 1.587627574801445, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.19454994052648544, + "step": 1214 + }, + { + "epoch": 0.2025, + "grad_norm": 28.375, + "grad_norm_var": 2.634375, + "learning_rate": 9.023433030274459e-05, + "loss": 7.1628, + "loss/crossentropy": 1.7969483435153961, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.21532484143972397, + "step": 1215 + }, + { + "epoch": 0.20266666666666666, + "grad_norm": 30.5, + "grad_norm_var": 2.58125, + "learning_rate": 9.021878176350423e-05, + "loss": 7.0582, + "loss/crossentropy": 1.6361202746629715, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.17281216382980347, + "step": 1216 + }, + { + "epoch": 0.20283333333333334, + "grad_norm": 28.625, + "grad_norm_var": 2.8150390625, + "learning_rate": 9.020322219805674e-05, + "loss": 7.1401, + "loss/crossentropy": 1.6873044669628143, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.17319026961922646, + "step": 1217 + }, + { + "epoch": 0.203, + "grad_norm": 30.25, + "grad_norm_var": 2.8228515625, + "learning_rate": 9.018765161066787e-05, + "loss": 7.2404, + "loss/crossentropy": 2.2303740978240967, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.15988197550177574, + "step": 1218 + }, + { + "epoch": 0.20316666666666666, + "grad_norm": 29.75, + "grad_norm_var": 2.434375, + "learning_rate": 9.017207000560639e-05, + "loss": 6.7894, + "loss/crossentropy": 1.663067877292633, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.2851884439587593, + "step": 1219 + }, + { + "epoch": 0.20333333333333334, + "grad_norm": 31.75, + "grad_norm_var": 2.49140625, + "learning_rate": 9.015647738714408e-05, + "loss": 7.3317, + "loss/crossentropy": 1.6652137711644173, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.13950848951935768, + "step": 1220 + }, + { + "epoch": 0.2035, + "grad_norm": 31.5, + "grad_norm_var": 2.42890625, + "learning_rate": 9.014087375955573e-05, + "loss": 7.423, + "loss/crossentropy": 1.8448649644851685, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.143984017893672, + "step": 1221 + }, + { + "epoch": 0.20366666666666666, + "grad_norm": 29.75, + "grad_norm_var": 2.3139973958333333, + "learning_rate": 9.012525912711918e-05, + "loss": 7.2826, + "loss/crossentropy": 1.7346484065055847, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.22051877155900002, + "step": 1222 + }, + { + "epoch": 0.20383333333333334, + "grad_norm": 31.625, + "grad_norm_var": 2.3358723958333334, + "learning_rate": 9.010963349411529e-05, + "loss": 7.3522, + "loss/crossentropy": 1.7686149775981903, + "loss/hidden": 3.21875, + "loss/jsd": 0.0, + "loss/logits": 0.18443066999316216, + "step": 1223 + }, + { + "epoch": 0.204, + "grad_norm": 29.25, + "grad_norm_var": 1.7520182291666666, + "learning_rate": 9.009399686482787e-05, + "loss": 7.1644, + "loss/crossentropy": 1.4964023679494858, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.17550109699368477, + "step": 1224 + }, + { + "epoch": 0.20416666666666666, + "grad_norm": 29.125, + "grad_norm_var": 1.5885416666666667, + "learning_rate": 9.007834924354383e-05, + "loss": 7.2392, + "loss/crossentropy": 2.415601521730423, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.19092579558491707, + "step": 1225 + }, + { + "epoch": 0.20433333333333334, + "grad_norm": 30.5, + "grad_norm_var": 1.5893229166666667, + "learning_rate": 9.006269063455304e-05, + "loss": 7.2053, + "loss/crossentropy": 1.259591594338417, + "loss/hidden": 4.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.23988616839051247, + "step": 1226 + }, + { + "epoch": 0.2045, + "grad_norm": 31.75, + "grad_norm_var": 1.1518229166666667, + "learning_rate": 9.00470210421484e-05, + "loss": 7.3441, + "loss/crossentropy": 1.7177473604679108, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.19613390043377876, + "step": 1227 + }, + { + "epoch": 0.20466666666666666, + "grad_norm": 33.0, + "grad_norm_var": 1.61875, + "learning_rate": 9.003134047062579e-05, + "loss": 7.2235, + "loss/crossentropy": 1.3223965615034103, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.2001427672803402, + "step": 1228 + }, + { + "epoch": 0.20483333333333334, + "grad_norm": 30.875, + "grad_norm_var": 1.62890625, + "learning_rate": 9.001564892428415e-05, + "loss": 7.1399, + "loss/crossentropy": 1.687671348452568, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1553989164531231, + "step": 1229 + }, + { + "epoch": 0.205, + "grad_norm": 29.5, + "grad_norm_var": 1.6822265625, + "learning_rate": 8.999994640742543e-05, + "loss": 7.5995, + "loss/crossentropy": 2.007145345211029, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.2645701393485069, + "step": 1230 + }, + { + "epoch": 0.20516666666666666, + "grad_norm": 29.125, + "grad_norm_var": 1.5166015625, + "learning_rate": 8.998423292435454e-05, + "loss": 7.1565, + "loss/crossentropy": 1.9185426235198975, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.1818624660372734, + "step": 1231 + }, + { + "epoch": 0.20533333333333334, + "grad_norm": 30.625, + "grad_norm_var": 1.51875, + "learning_rate": 8.996850847937941e-05, + "loss": 7.456, + "loss/crossentropy": 2.386841744184494, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.20238413661718369, + "step": 1232 + }, + { + "epoch": 0.2055, + "grad_norm": 53.5, + "grad_norm_var": 34.18014322916667, + "learning_rate": 8.995277307681099e-05, + "loss": 7.2791, + "loss/crossentropy": 1.2465152591466904, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.14154892787337303, + "step": 1233 + }, + { + "epoch": 0.20566666666666666, + "grad_norm": 31.875, + "grad_norm_var": 33.967708333333334, + "learning_rate": 8.993702672096324e-05, + "loss": 7.4117, + "loss/crossentropy": 2.1675582230091095, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.18371211923658848, + "step": 1234 + }, + { + "epoch": 0.20583333333333334, + "grad_norm": 31.5, + "grad_norm_var": 33.612239583333334, + "learning_rate": 8.992126941615313e-05, + "loss": 7.3614, + "loss/crossentropy": 1.3925307989120483, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.13119136169552803, + "step": 1235 + }, + { + "epoch": 0.206, + "grad_norm": 27.875, + "grad_norm_var": 34.784830729166664, + "learning_rate": 8.990550116670057e-05, + "loss": 6.8879, + "loss/crossentropy": 1.5162500590085983, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.14715932123363018, + "step": 1236 + }, + { + "epoch": 0.20616666666666666, + "grad_norm": 30.25, + "grad_norm_var": 34.959309895833336, + "learning_rate": 8.988972197692855e-05, + "loss": 7.2281, + "loss/crossentropy": 2.0481223464012146, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.15340117923915386, + "step": 1237 + }, + { + "epoch": 0.20633333333333334, + "grad_norm": 30.25, + "grad_norm_var": 34.83274739583333, + "learning_rate": 8.987393185116302e-05, + "loss": 7.5103, + "loss/crossentropy": 1.9297794103622437, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.24415437504649162, + "step": 1238 + }, + { + "epoch": 0.2065, + "grad_norm": 30.25, + "grad_norm_var": 35.00390625, + "learning_rate": 8.985813079373292e-05, + "loss": 6.8773, + "loss/crossentropy": 1.6119352504611015, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.15101561322808266, + "step": 1239 + }, + { + "epoch": 0.20666666666666667, + "grad_norm": 28.875, + "grad_norm_var": 35.1416015625, + "learning_rate": 8.98423188089702e-05, + "loss": 7.1719, + "loss/crossentropy": 1.3819709122180939, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1600161474198103, + "step": 1240 + }, + { + "epoch": 0.20683333333333334, + "grad_norm": 29.0, + "grad_norm_var": 35.18723958333333, + "learning_rate": 8.982649590120982e-05, + "loss": 7.2573, + "loss/crossentropy": 1.6761731505393982, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1604536771774292, + "step": 1241 + }, + { + "epoch": 0.207, + "grad_norm": 48.75, + "grad_norm_var": 52.84791666666667, + "learning_rate": 8.981066207478971e-05, + "loss": 7.4697, + "loss/crossentropy": 1.8623092472553253, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.2204706110060215, + "step": 1242 + }, + { + "epoch": 0.20716666666666667, + "grad_norm": 29.75, + "grad_norm_var": 53.41458333333333, + "learning_rate": 8.97948173340508e-05, + "loss": 6.8498, + "loss/crossentropy": 1.5715491771697998, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.18219494447112083, + "step": 1243 + }, + { + "epoch": 0.20733333333333334, + "grad_norm": 29.0, + "grad_norm_var": 54.31458333333333, + "learning_rate": 8.977896168333702e-05, + "loss": 6.969, + "loss/crossentropy": 1.8242640793323517, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.1585025191307068, + "step": 1244 + }, + { + "epoch": 0.2075, + "grad_norm": 28.0, + "grad_norm_var": 55.47805989583333, + "learning_rate": 8.976309512699528e-05, + "loss": 6.9946, + "loss/crossentropy": 1.7089583277702332, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.15191133320331573, + "step": 1245 + }, + { + "epoch": 0.20766666666666667, + "grad_norm": 28.125, + "grad_norm_var": 56.12473958333333, + "learning_rate": 8.97472176693755e-05, + "loss": 6.9526, + "loss/crossentropy": 1.2086962163448334, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.12226183898746967, + "step": 1246 + }, + { + "epoch": 0.20783333333333334, + "grad_norm": 28.125, + "grad_norm_var": 56.61015625, + "learning_rate": 8.973132931483057e-05, + "loss": 7.0176, + "loss/crossentropy": 1.7964928448200226, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.22055083885788918, + "step": 1247 + }, + { + "epoch": 0.208, + "grad_norm": 32.75, + "grad_norm_var": 56.43639322916667, + "learning_rate": 8.971543006771636e-05, + "loss": 7.3351, + "loss/crossentropy": 1.9487533867359161, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.18315195851027966, + "step": 1248 + }, + { + "epoch": 0.20816666666666667, + "grad_norm": 30.625, + "grad_norm_var": 24.685416666666665, + "learning_rate": 8.969951993239177e-05, + "loss": 7.1565, + "loss/crossentropy": 1.9017888307571411, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.17371082678437233, + "step": 1249 + }, + { + "epoch": 0.20833333333333334, + "grad_norm": 30.75, + "grad_norm_var": 24.623893229166665, + "learning_rate": 8.968359891321862e-05, + "loss": 7.0055, + "loss/crossentropy": 1.9904980957508087, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.183632992208004, + "step": 1250 + }, + { + "epoch": 0.2085, + "grad_norm": 46.5, + "grad_norm_var": 39.95201822916667, + "learning_rate": 8.966766701456177e-05, + "loss": 7.5897, + "loss/crossentropy": 1.880692034959793, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.17999951913952827, + "step": 1251 + }, + { + "epoch": 0.20866666666666667, + "grad_norm": 30.75, + "grad_norm_var": 38.962239583333336, + "learning_rate": 8.965172424078902e-05, + "loss": 7.2985, + "loss/crossentropy": 2.001313865184784, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.21834712848067284, + "step": 1252 + }, + { + "epoch": 0.20883333333333334, + "grad_norm": 32.75, + "grad_norm_var": 38.774739583333336, + "learning_rate": 8.963577059627118e-05, + "loss": 6.9364, + "loss/crossentropy": 1.801378846168518, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.23835700377821922, + "step": 1253 + }, + { + "epoch": 0.209, + "grad_norm": 29.625, + "grad_norm_var": 38.956705729166664, + "learning_rate": 8.961980608538203e-05, + "loss": 7.1429, + "loss/crossentropy": 1.9462988674640656, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.20825079455971718, + "step": 1254 + }, + { + "epoch": 0.20916666666666667, + "grad_norm": 30.5, + "grad_norm_var": 38.89889322916667, + "learning_rate": 8.960383071249836e-05, + "loss": 7.3652, + "loss/crossentropy": 1.714004397392273, + "loss/hidden": 4.0625, + "loss/jsd": 0.0, + "loss/logits": 0.3170866258442402, + "step": 1255 + }, + { + "epoch": 0.20933333333333334, + "grad_norm": 27.5, + "grad_norm_var": 39.61145833333333, + "learning_rate": 8.958784448199987e-05, + "loss": 6.8965, + "loss/crossentropy": 1.8080734759569168, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.14889338053762913, + "step": 1256 + }, + { + "epoch": 0.2095, + "grad_norm": 29.875, + "grad_norm_var": 39.3056640625, + "learning_rate": 8.95718473982693e-05, + "loss": 7.1474, + "loss/crossentropy": 1.6043298840522766, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.14702529087662697, + "step": 1257 + }, + { + "epoch": 0.20966666666666667, + "grad_norm": 28.5, + "grad_norm_var": 19.9416015625, + "learning_rate": 8.955583946569233e-05, + "loss": 6.8836, + "loss/crossentropy": 2.12226665019989, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.2022249810397625, + "step": 1258 + }, + { + "epoch": 0.20983333333333334, + "grad_norm": 41.75, + "grad_norm_var": 27.2291015625, + "learning_rate": 8.95398206886576e-05, + "loss": 7.4099, + "loss/crossentropy": 1.487533763051033, + "loss/hidden": 3.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.20956316590309143, + "step": 1259 + }, + { + "epoch": 0.21, + "grad_norm": 29.75, + "grad_norm_var": 27.0072265625, + "learning_rate": 8.95237910715568e-05, + "loss": 7.2558, + "loss/crossentropy": 1.2420831471681595, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1411299854516983, + "step": 1260 + }, + { + "epoch": 0.21016666666666667, + "grad_norm": 31.0, + "grad_norm_var": 26.1228515625, + "learning_rate": 8.950775061878453e-05, + "loss": 7.1308, + "loss/crossentropy": 1.8089599609375, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.16879883781075478, + "step": 1261 + }, + { + "epoch": 0.21033333333333334, + "grad_norm": 27.5, + "grad_norm_var": 26.45390625, + "learning_rate": 8.949169933473833e-05, + "loss": 6.6541, + "loss/crossentropy": 1.3704565316438675, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.12190248817205429, + "step": 1262 + }, + { + "epoch": 0.2105, + "grad_norm": 32.25, + "grad_norm_var": 25.5150390625, + "learning_rate": 8.94756372238188e-05, + "loss": 7.4878, + "loss/crossentropy": 2.032979369163513, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.18531574681401253, + "step": 1263 + }, + { + "epoch": 0.21066666666666667, + "grad_norm": 32.5, + "grad_norm_var": 25.4947265625, + "learning_rate": 8.945956429042943e-05, + "loss": 7.1824, + "loss/crossentropy": 1.8457638323307037, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.18632981181144714, + "step": 1264 + }, + { + "epoch": 0.21083333333333334, + "grad_norm": 28.875, + "grad_norm_var": 26.0087890625, + "learning_rate": 8.944348053897671e-05, + "loss": 7.2811, + "loss/crossentropy": 1.8484606444835663, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.16157929599285126, + "step": 1265 + }, + { + "epoch": 0.211, + "grad_norm": 29.75, + "grad_norm_var": 26.2244140625, + "learning_rate": 8.94273859738701e-05, + "loss": 7.2842, + "loss/crossentropy": 1.7703493386507034, + "loss/hidden": 3.84375, + "loss/jsd": 0.0, + "loss/logits": 0.18733574450016022, + "step": 1266 + }, + { + "epoch": 0.21116666666666667, + "grad_norm": 29.75, + "grad_norm_var": 11.009830729166667, + "learning_rate": 8.941128059952201e-05, + "loss": 6.9205, + "loss/crossentropy": 1.498087391257286, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.20384216867387295, + "step": 1267 + }, + { + "epoch": 0.21133333333333335, + "grad_norm": 30.75, + "grad_norm_var": 11.009830729166667, + "learning_rate": 8.939516442034781e-05, + "loss": 7.0617, + "loss/crossentropy": 1.2050846070051193, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.10520477686077356, + "step": 1268 + }, + { + "epoch": 0.2115, + "grad_norm": 38.5, + "grad_norm_var": 14.579622395833333, + "learning_rate": 8.937903744076587e-05, + "loss": 7.1833, + "loss/crossentropy": 2.160456895828247, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.21616069972515106, + "step": 1269 + }, + { + "epoch": 0.21166666666666667, + "grad_norm": 39.5, + "grad_norm_var": 18.668489583333333, + "learning_rate": 8.936289966519746e-05, + "loss": 7.3277, + "loss/crossentropy": 1.8163149058818817, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.26328181475400925, + "step": 1270 + }, + { + "epoch": 0.21183333333333335, + "grad_norm": 28.375, + "grad_norm_var": 19.309309895833334, + "learning_rate": 8.934675109806688e-05, + "loss": 7.1807, + "loss/crossentropy": 1.779030442237854, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.23459625989198685, + "step": 1271 + }, + { + "epoch": 0.212, + "grad_norm": 28.875, + "grad_norm_var": 18.669791666666665, + "learning_rate": 8.933059174380131e-05, + "loss": 6.8549, + "loss/crossentropy": 1.8299419581890106, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.16380924358963966, + "step": 1272 + }, + { + "epoch": 0.21216666666666667, + "grad_norm": 27.25, + "grad_norm_var": 19.745768229166668, + "learning_rate": 8.931442160683094e-05, + "loss": 6.9824, + "loss/crossentropy": 1.7724792212247849, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.18576912954449654, + "step": 1273 + }, + { + "epoch": 0.21233333333333335, + "grad_norm": 29.625, + "grad_norm_var": 19.366666666666667, + "learning_rate": 8.929824069158894e-05, + "loss": 7.3272, + "loss/crossentropy": 1.7554685175418854, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.24172433838248253, + "step": 1274 + }, + { + "epoch": 0.2125, + "grad_norm": 29.875, + "grad_norm_var": 12.148893229166667, + "learning_rate": 8.928204900251136e-05, + "loss": 7.3142, + "loss/crossentropy": 1.7340553104877472, + "loss/hidden": 3.7265625, + "loss/jsd": 0.0, + "loss/logits": 0.20534256100654602, + "step": 1275 + }, + { + "epoch": 0.21266666666666667, + "grad_norm": 39.25, + "grad_norm_var": 16.354622395833335, + "learning_rate": 8.926584654403724e-05, + "loss": 7.157, + "loss/crossentropy": 1.920032113790512, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19680794514715672, + "step": 1276 + }, + { + "epoch": 0.21283333333333335, + "grad_norm": 30.75, + "grad_norm_var": 16.3744140625, + "learning_rate": 8.924963332060863e-05, + "loss": 7.3995, + "loss/crossentropy": 1.841623306274414, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.24768600426614285, + "step": 1277 + }, + { + "epoch": 0.213, + "grad_norm": 28.25, + "grad_norm_var": 16.0134765625, + "learning_rate": 8.92334093366704e-05, + "loss": 6.9662, + "loss/crossentropy": 1.5030003488063812, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.14378325268626213, + "step": 1278 + }, + { + "epoch": 0.21316666666666667, + "grad_norm": 29.0, + "grad_norm_var": 16.352018229166667, + "learning_rate": 8.92171745966705e-05, + "loss": 6.8504, + "loss/crossentropy": 1.8155283033847809, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.17595910839736462, + "step": 1279 + }, + { + "epoch": 0.21333333333333335, + "grad_norm": 29.75, + "grad_norm_var": 16.386393229166668, + "learning_rate": 8.920092910505977e-05, + "loss": 6.9831, + "loss/crossentropy": 1.4898201525211334, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.15095620602369308, + "step": 1280 + }, + { + "epoch": 0.2135, + "grad_norm": 27.875, + "grad_norm_var": 16.749934895833334, + "learning_rate": 8.9184672866292e-05, + "loss": 7.2761, + "loss/crossentropy": 1.2847067043185234, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.15730723179876804, + "step": 1281 + }, + { + "epoch": 0.21366666666666667, + "grad_norm": 30.25, + "grad_norm_var": 16.6775390625, + "learning_rate": 8.916840588482392e-05, + "loss": 7.0408, + "loss/crossentropy": 1.408691182732582, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.1533127836883068, + "step": 1282 + }, + { + "epoch": 0.21383333333333332, + "grad_norm": 37.25, + "grad_norm_var": 18.8416015625, + "learning_rate": 8.915212816511522e-05, + "loss": 7.0918, + "loss/crossentropy": 1.2837118208408356, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.23492558486759663, + "step": 1283 + }, + { + "epoch": 0.214, + "grad_norm": 30.75, + "grad_norm_var": 18.8416015625, + "learning_rate": 8.913583971162852e-05, + "loss": 7.3199, + "loss/crossentropy": 1.5599457621574402, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.23544751107692719, + "step": 1284 + }, + { + "epoch": 0.21416666666666667, + "grad_norm": 31.875, + "grad_norm_var": 15.463541666666666, + "learning_rate": 8.91195405288294e-05, + "loss": 6.9959, + "loss/crossentropy": 2.083773970603943, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.19660097360610962, + "step": 1285 + }, + { + "epoch": 0.21433333333333332, + "grad_norm": 27.75, + "grad_norm_var": 11.020572916666667, + "learning_rate": 8.910323062118639e-05, + "loss": 7.0008, + "loss/crossentropy": 1.7534039616584778, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.170754324644804, + "step": 1286 + }, + { + "epoch": 0.2145, + "grad_norm": 27.5, + "grad_norm_var": 11.3072265625, + "learning_rate": 8.908690999317093e-05, + "loss": 6.8607, + "loss/crossentropy": 2.0595730543136597, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.19259288534522057, + "step": 1287 + }, + { + "epoch": 0.21466666666666667, + "grad_norm": 28.25, + "grad_norm_var": 11.455989583333333, + "learning_rate": 8.90705786492574e-05, + "loss": 7.1113, + "loss/crossentropy": 2.0512263476848602, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.20212347432971, + "step": 1288 + }, + { + "epoch": 0.21483333333333332, + "grad_norm": 30.5, + "grad_norm_var": 10.782291666666667, + "learning_rate": 8.905423659392316e-05, + "loss": 7.2688, + "loss/crossentropy": 1.8296646773815155, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.20784572884440422, + "step": 1289 + }, + { + "epoch": 0.215, + "grad_norm": 29.625, + "grad_norm_var": 10.782291666666667, + "learning_rate": 8.903788383164846e-05, + "loss": 7.2516, + "loss/crossentropy": 1.5367623269557953, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.25126538798213005, + "step": 1290 + }, + { + "epoch": 0.21516666666666667, + "grad_norm": 40.75, + "grad_norm_var": 17.222330729166668, + "learning_rate": 8.90215203669165e-05, + "loss": 7.3099, + "loss/crossentropy": 1.4919409900903702, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.17416539788246155, + "step": 1291 + }, + { + "epoch": 0.21533333333333332, + "grad_norm": 28.625, + "grad_norm_var": 12.889322916666666, + "learning_rate": 8.90051462042134e-05, + "loss": 6.9503, + "loss/crossentropy": 1.6225145161151886, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18747080117464066, + "step": 1292 + }, + { + "epoch": 0.2155, + "grad_norm": 31.25, + "grad_norm_var": 12.918489583333333, + "learning_rate": 8.898876134802826e-05, + "loss": 7.0613, + "loss/crossentropy": 1.424396775662899, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.19608118943870068, + "step": 1293 + }, + { + "epoch": 0.21566666666666667, + "grad_norm": 27.75, + "grad_norm_var": 13.089322916666667, + "learning_rate": 8.897236580285308e-05, + "loss": 7.2376, + "loss/crossentropy": 1.5595709383487701, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.15707385540008545, + "step": 1294 + }, + { + "epoch": 0.21583333333333332, + "grad_norm": 27.75, + "grad_norm_var": 13.444791666666667, + "learning_rate": 8.895595957318277e-05, + "loss": 7.1893, + "loss/crossentropy": 1.6782929003238678, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.16293542832136154, + "step": 1295 + }, + { + "epoch": 0.216, + "grad_norm": 28.375, + "grad_norm_var": 13.6947265625, + "learning_rate": 8.893954266351521e-05, + "loss": 6.7408, + "loss/crossentropy": 2.086051791906357, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17098212614655495, + "step": 1296 + }, + { + "epoch": 0.21616666666666667, + "grad_norm": 27.25, + "grad_norm_var": 13.928125, + "learning_rate": 8.892311507835119e-05, + "loss": 6.9317, + "loss/crossentropy": 1.6282245367765427, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.16926315613090992, + "step": 1297 + }, + { + "epoch": 0.21633333333333332, + "grad_norm": 35.75, + "grad_norm_var": 15.75, + "learning_rate": 8.890667682219439e-05, + "loss": 6.9894, + "loss/crossentropy": 1.540303349494934, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.18785126879811287, + "step": 1298 + }, + { + "epoch": 0.2165, + "grad_norm": 31.125, + "grad_norm_var": 12.7353515625, + "learning_rate": 8.889022789955151e-05, + "loss": 6.9911, + "loss/crossentropy": 1.662076286971569, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.13003813195973635, + "step": 1299 + }, + { + "epoch": 0.21666666666666667, + "grad_norm": 30.25, + "grad_norm_var": 12.7212890625, + "learning_rate": 8.887376831493205e-05, + "loss": 7.1687, + "loss/crossentropy": 1.9633639752864838, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.19742264971137047, + "step": 1300 + }, + { + "epoch": 0.21683333333333332, + "grad_norm": 28.625, + "grad_norm_var": 12.687434895833333, + "learning_rate": 8.885729807284856e-05, + "loss": 7.5099, + "loss/crossentropy": 1.6773244589567184, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.1508673969656229, + "step": 1301 + }, + { + "epoch": 0.217, + "grad_norm": 28.625, + "grad_norm_var": 12.464583333333334, + "learning_rate": 8.88408171778164e-05, + "loss": 7.1217, + "loss/crossentropy": 1.2117585092782974, + "loss/hidden": 3.7421875, + "loss/jsd": 0.0, + "loss/logits": 0.140835739672184, + "step": 1302 + }, + { + "epoch": 0.21716666666666667, + "grad_norm": 31.125, + "grad_norm_var": 12.017122395833333, + "learning_rate": 8.882432563435393e-05, + "loss": 7.7823, + "loss/crossentropy": 1.9693514108657837, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.1932295598089695, + "step": 1303 + }, + { + "epoch": 0.21733333333333332, + "grad_norm": 31.25, + "grad_norm_var": 11.738997395833334, + "learning_rate": 8.88078234469824e-05, + "loss": 6.9794, + "loss/crossentropy": 1.8739816546440125, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.22708043083548546, + "step": 1304 + }, + { + "epoch": 0.2175, + "grad_norm": 40.25, + "grad_norm_var": 17.629622395833334, + "learning_rate": 8.879131062022598e-05, + "loss": 7.1087, + "loss/crossentropy": 1.7498936653137207, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.25982804596424103, + "step": 1305 + }, + { + "epoch": 0.21766666666666667, + "grad_norm": 32.25, + "grad_norm_var": 17.527083333333334, + "learning_rate": 8.877478715861173e-05, + "loss": 7.1936, + "loss/crossentropy": 1.5598660111427307, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.18610762059688568, + "step": 1306 + }, + { + "epoch": 0.21783333333333332, + "grad_norm": 32.5, + "grad_norm_var": 11.399739583333334, + "learning_rate": 8.875825306666968e-05, + "loss": 7.2345, + "loss/crossentropy": 1.5103994756937027, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.1768077164888382, + "step": 1307 + }, + { + "epoch": 0.218, + "grad_norm": 29.5, + "grad_norm_var": 11.194205729166667, + "learning_rate": 8.874170834893272e-05, + "loss": 7.214, + "loss/crossentropy": 2.020356208086014, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.15426049567759037, + "step": 1308 + }, + { + "epoch": 0.21816666666666668, + "grad_norm": 29.25, + "grad_norm_var": 11.337955729166667, + "learning_rate": 8.872515300993669e-05, + "loss": 7.2449, + "loss/crossentropy": 1.156544879078865, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.2502839658409357, + "step": 1309 + }, + { + "epoch": 0.21833333333333332, + "grad_norm": 28.75, + "grad_norm_var": 11.003580729166666, + "learning_rate": 8.870858705422033e-05, + "loss": 7.3904, + "loss/crossentropy": 1.9905332624912262, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.14915032871067524, + "step": 1310 + }, + { + "epoch": 0.2185, + "grad_norm": 28.0, + "grad_norm_var": 10.906184895833333, + "learning_rate": 8.869201048632532e-05, + "loss": 7.1195, + "loss/crossentropy": 1.7615238428115845, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.2768377661705017, + "step": 1311 + }, + { + "epoch": 0.21866666666666668, + "grad_norm": 38.25, + "grad_norm_var": 13.801822916666667, + "learning_rate": 8.867542331079617e-05, + "loss": 7.5338, + "loss/crossentropy": 1.3941400051116943, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.15738719515502453, + "step": 1312 + }, + { + "epoch": 0.21883333333333332, + "grad_norm": 31.625, + "grad_norm_var": 12.564518229166667, + "learning_rate": 8.865882553218037e-05, + "loss": 6.9976, + "loss/crossentropy": 1.592208281159401, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.19620600156486034, + "step": 1313 + }, + { + "epoch": 0.219, + "grad_norm": 30.375, + "grad_norm_var": 11.464322916666667, + "learning_rate": 8.864221715502829e-05, + "loss": 7.2638, + "loss/crossentropy": 1.717018038034439, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.14654031209647655, + "step": 1314 + }, + { + "epoch": 0.21916666666666668, + "grad_norm": 29.0, + "grad_norm_var": 11.812955729166667, + "learning_rate": 8.862559818389322e-05, + "loss": 7.1108, + "loss/crossentropy": 1.872963935136795, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.17184802889823914, + "step": 1315 + }, + { + "epoch": 0.21933333333333332, + "grad_norm": 28.0, + "grad_norm_var": 12.422330729166667, + "learning_rate": 8.860896862333134e-05, + "loss": 6.7489, + "loss/crossentropy": 1.442404419183731, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.18149691820144653, + "step": 1316 + }, + { + "epoch": 0.2195, + "grad_norm": 29.375, + "grad_norm_var": 12.211393229166667, + "learning_rate": 8.859232847790175e-05, + "loss": 7.217, + "loss/crossentropy": 1.8750587701797485, + "loss/hidden": 3.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.14721840247511864, + "step": 1317 + }, + { + "epoch": 0.21966666666666668, + "grad_norm": 30.875, + "grad_norm_var": 11.775455729166667, + "learning_rate": 8.857567775216643e-05, + "loss": 7.3634, + "loss/crossentropy": 1.995005339384079, + "loss/hidden": 3.83203125, + "loss/jsd": 0.0, + "loss/logits": 0.22919053584337234, + "step": 1318 + }, + { + "epoch": 0.21983333333333333, + "grad_norm": 39.0, + "grad_norm_var": 15.495572916666667, + "learning_rate": 8.855901645069026e-05, + "loss": 6.8676, + "loss/crossentropy": 1.867722600698471, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.14688246697187424, + "step": 1319 + }, + { + "epoch": 0.22, + "grad_norm": 31.25, + "grad_norm_var": 15.495572916666667, + "learning_rate": 8.854234457804105e-05, + "loss": 7.1347, + "loss/crossentropy": 1.6819516122341156, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.1639174222946167, + "step": 1320 + }, + { + "epoch": 0.22016666666666668, + "grad_norm": 28.75, + "grad_norm_var": 10.751822916666667, + "learning_rate": 8.852566213878947e-05, + "loss": 6.8401, + "loss/crossentropy": 1.3040947020053864, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.15195035003125668, + "step": 1321 + }, + { + "epoch": 0.22033333333333333, + "grad_norm": 28.125, + "grad_norm_var": 11.153580729166666, + "learning_rate": 8.850896913750911e-05, + "loss": 7.21, + "loss/crossentropy": 1.8918107151985168, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.19468124955892563, + "step": 1322 + }, + { + "epoch": 0.2205, + "grad_norm": 30.125, + "grad_norm_var": 10.964322916666667, + "learning_rate": 8.849226557877646e-05, + "loss": 7.1427, + "loss/crossentropy": 1.793198138475418, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.1666645836085081, + "step": 1323 + }, + { + "epoch": 0.22066666666666668, + "grad_norm": 31.0, + "grad_norm_var": 10.876822916666667, + "learning_rate": 8.84755514671709e-05, + "loss": 7.7351, + "loss/crossentropy": 1.8946149945259094, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.24298083782196045, + "step": 1324 + }, + { + "epoch": 0.22083333333333333, + "grad_norm": 31.0, + "grad_norm_var": 10.721875, + "learning_rate": 8.845882680727469e-05, + "loss": 7.3047, + "loss/crossentropy": 1.3693952858448029, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.21227648109197617, + "step": 1325 + }, + { + "epoch": 0.221, + "grad_norm": 27.625, + "grad_norm_var": 11.1150390625, + "learning_rate": 8.844209160367299e-05, + "loss": 6.9994, + "loss/crossentropy": 1.4340689927339554, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.14614807814359665, + "step": 1326 + }, + { + "epoch": 0.22116666666666668, + "grad_norm": 33.25, + "grad_norm_var": 10.8962890625, + "learning_rate": 8.842534586095383e-05, + "loss": 6.7807, + "loss/crossentropy": 1.8267545104026794, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.1497194468975067, + "step": 1327 + }, + { + "epoch": 0.22133333333333333, + "grad_norm": 32.25, + "grad_norm_var": 7.4275390625, + "learning_rate": 8.840858958370819e-05, + "loss": 7.2799, + "loss/crossentropy": 2.064533621072769, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.1987077295780182, + "step": 1328 + }, + { + "epoch": 0.2215, + "grad_norm": 27.125, + "grad_norm_var": 8.1541015625, + "learning_rate": 8.839182277652989e-05, + "loss": 6.7331, + "loss/crossentropy": 1.58609539270401, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.14350396767258644, + "step": 1329 + }, + { + "epoch": 0.22166666666666668, + "grad_norm": 27.375, + "grad_norm_var": 8.7447265625, + "learning_rate": 8.837504544401561e-05, + "loss": 6.7566, + "loss/crossentropy": 1.752264380455017, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.16161640733480453, + "step": 1330 + }, + { + "epoch": 0.22183333333333333, + "grad_norm": 30.625, + "grad_norm_var": 8.637239583333333, + "learning_rate": 8.8358257590765e-05, + "loss": 6.9655, + "loss/crossentropy": 1.5736742317676544, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.17882109060883522, + "step": 1331 + }, + { + "epoch": 0.222, + "grad_norm": 29.75, + "grad_norm_var": 8.278125, + "learning_rate": 8.834145922138049e-05, + "loss": 7.1689, + "loss/crossentropy": 2.366013765335083, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.20151379331946373, + "step": 1332 + }, + { + "epoch": 0.22216666666666668, + "grad_norm": 27.625, + "grad_norm_var": 8.724739583333333, + "learning_rate": 8.832465034046749e-05, + "loss": 7.1076, + "loss/crossentropy": 1.8252016454935074, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.19100939109921455, + "step": 1333 + }, + { + "epoch": 0.22233333333333333, + "grad_norm": 33.5, + "grad_norm_var": 9.335872395833333, + "learning_rate": 8.830783095263425e-05, + "loss": 6.6759, + "loss/crossentropy": 1.0002970695495605, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.1451659481972456, + "step": 1334 + }, + { + "epoch": 0.2225, + "grad_norm": 31.0, + "grad_norm_var": 4.294205729166666, + "learning_rate": 8.829100106249189e-05, + "loss": 6.8492, + "loss/crossentropy": 1.390068769454956, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16063359007239342, + "step": 1335 + }, + { + "epoch": 0.22266666666666668, + "grad_norm": 30.0, + "grad_norm_var": 4.187434895833333, + "learning_rate": 8.827416067465441e-05, + "loss": 6.8579, + "loss/crossentropy": 1.1625606268644333, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.23727696016430855, + "step": 1336 + }, + { + "epoch": 0.22283333333333333, + "grad_norm": 28.125, + "grad_norm_var": 4.311458333333333, + "learning_rate": 8.825730979373872e-05, + "loss": 6.8081, + "loss/crossentropy": 1.1123109608888626, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.1793264076113701, + "step": 1337 + }, + { + "epoch": 0.223, + "grad_norm": 29.5, + "grad_norm_var": 4.103059895833334, + "learning_rate": 8.824044842436456e-05, + "loss": 7.0354, + "loss/crossentropy": 1.8462108373641968, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.19455980882048607, + "step": 1338 + }, + { + "epoch": 0.22316666666666668, + "grad_norm": 29.5, + "grad_norm_var": 4.11640625, + "learning_rate": 8.822357657115459e-05, + "loss": 7.1256, + "loss/crossentropy": 1.12643700838089, + "loss/hidden": 3.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.12856785394251347, + "step": 1339 + }, + { + "epoch": 0.22333333333333333, + "grad_norm": 35.0, + "grad_norm_var": 5.674739583333333, + "learning_rate": 8.82066942387343e-05, + "loss": 7.0614, + "loss/crossentropy": 1.6229997724294662, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.17172613367438316, + "step": 1340 + }, + { + "epoch": 0.2235, + "grad_norm": 36.0, + "grad_norm_var": 7.768489583333333, + "learning_rate": 8.818980143173213e-05, + "loss": 7.0696, + "loss/crossentropy": 1.7989262640476227, + "loss/hidden": 3.7734375, + "loss/jsd": 0.0, + "loss/logits": 0.1843792088329792, + "step": 1341 + }, + { + "epoch": 0.22366666666666668, + "grad_norm": 30.75, + "grad_norm_var": 7.1744140625, + "learning_rate": 8.817289815477928e-05, + "loss": 7.431, + "loss/crossentropy": 1.507471725344658, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.15506815910339355, + "step": 1342 + }, + { + "epoch": 0.22383333333333333, + "grad_norm": 28.75, + "grad_norm_var": 6.9166015625, + "learning_rate": 8.815598441250987e-05, + "loss": 6.9046, + "loss/crossentropy": 1.2516491413116455, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.13933237828314304, + "step": 1343 + }, + { + "epoch": 0.224, + "grad_norm": 27.75, + "grad_norm_var": 7.0900390625, + "learning_rate": 8.813906020956097e-05, + "loss": 7.0237, + "loss/crossentropy": 1.6177708208560944, + "loss/hidden": 3.7734375, + "loss/jsd": 0.0, + "loss/logits": 0.30907687544822693, + "step": 1344 + }, + { + "epoch": 0.22416666666666665, + "grad_norm": 31.375, + "grad_norm_var": 6.5056640625, + "learning_rate": 8.81221255505724e-05, + "loss": 6.8969, + "loss/crossentropy": 1.5588159263134003, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.17392415553331375, + "step": 1345 + }, + { + "epoch": 0.22433333333333333, + "grad_norm": 30.25, + "grad_norm_var": 5.857291666666667, + "learning_rate": 8.810518044018689e-05, + "loss": 7.1614, + "loss/crossentropy": 1.5660995543003082, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.1824370063841343, + "step": 1346 + }, + { + "epoch": 0.2245, + "grad_norm": 29.5, + "grad_norm_var": 5.931705729166667, + "learning_rate": 8.808822488305005e-05, + "loss": 7.4345, + "loss/crossentropy": 1.461399108171463, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.1693030335009098, + "step": 1347 + }, + { + "epoch": 0.22466666666666665, + "grad_norm": 31.5, + "grad_norm_var": 5.942643229166666, + "learning_rate": 8.807125888381035e-05, + "loss": 7.3317, + "loss/crossentropy": 1.4001652300357819, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.15863394737243652, + "step": 1348 + }, + { + "epoch": 0.22483333333333333, + "grad_norm": 36.25, + "grad_norm_var": 7.133072916666666, + "learning_rate": 8.80542824471191e-05, + "loss": 7.4203, + "loss/crossentropy": 2.1138390600681305, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.18512402847409248, + "step": 1349 + }, + { + "epoch": 0.225, + "grad_norm": 29.25, + "grad_norm_var": 6.942708333333333, + "learning_rate": 8.803729557763047e-05, + "loss": 6.9968, + "loss/crossentropy": 1.7467091381549835, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.19800013676285744, + "step": 1350 + }, + { + "epoch": 0.22516666666666665, + "grad_norm": 29.25, + "grad_norm_var": 7.112239583333333, + "learning_rate": 8.802029828000156e-05, + "loss": 7.1186, + "loss/crossentropy": 1.9953233003616333, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.2265888750553131, + "step": 1351 + }, + { + "epoch": 0.22533333333333333, + "grad_norm": 28.5, + "grad_norm_var": 7.412239583333333, + "learning_rate": 8.800329055889223e-05, + "loss": 7.0946, + "loss/crossentropy": 1.5274888277053833, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.20411700941622257, + "step": 1352 + }, + { + "epoch": 0.2255, + "grad_norm": 26.875, + "grad_norm_var": 7.939583333333333, + "learning_rate": 8.798627241896524e-05, + "loss": 7.0565, + "loss/crossentropy": 1.921573668718338, + "loss/hidden": 3.1640625, + "loss/jsd": 0.0, + "loss/logits": 0.16989030689001083, + "step": 1353 + }, + { + "epoch": 0.22566666666666665, + "grad_norm": 27.625, + "grad_norm_var": 8.440559895833333, + "learning_rate": 8.796924386488624e-05, + "loss": 6.7477, + "loss/crossentropy": 1.69273541867733, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16533562913537025, + "step": 1354 + }, + { + "epoch": 0.22583333333333333, + "grad_norm": 28.375, + "grad_norm_var": 8.670833333333333, + "learning_rate": 8.795220490132369e-05, + "loss": 7.1876, + "loss/crossentropy": 2.4070510268211365, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.17891918495297432, + "step": 1355 + }, + { + "epoch": 0.226, + "grad_norm": 31.0, + "grad_norm_var": 7.2375, + "learning_rate": 8.793515553294891e-05, + "loss": 6.8497, + "loss/crossentropy": 1.9144990742206573, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.21343015506863594, + "step": 1356 + }, + { + "epoch": 0.22616666666666665, + "grad_norm": 37.0, + "grad_norm_var": 8.075, + "learning_rate": 8.79180957644361e-05, + "loss": 7.1019, + "loss/crossentropy": 2.0029281973838806, + "loss/hidden": 3.828125, + "loss/jsd": 0.0, + "loss/logits": 0.2547861821949482, + "step": 1357 + }, + { + "epoch": 0.22633333333333333, + "grad_norm": 31.5, + "grad_norm_var": 8.16015625, + "learning_rate": 8.790102560046227e-05, + "loss": 7.2401, + "loss/crossentropy": 1.71112260222435, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.18296929448843002, + "step": 1358 + }, + { + "epoch": 0.2265, + "grad_norm": 29.5, + "grad_norm_var": 8.040625, + "learning_rate": 8.788394504570732e-05, + "loss": 7.5036, + "loss/crossentropy": 1.8826730847358704, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.22693874314427376, + "step": 1359 + }, + { + "epoch": 0.22666666666666666, + "grad_norm": 28.625, + "grad_norm_var": 7.785872395833334, + "learning_rate": 8.786685410485398e-05, + "loss": 6.9652, + "loss/crossentropy": 1.706690937280655, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.16132831200957298, + "step": 1360 + }, + { + "epoch": 0.22683333333333333, + "grad_norm": 26.625, + "grad_norm_var": 8.5775390625, + "learning_rate": 8.784975278258783e-05, + "loss": 7.0589, + "loss/crossentropy": 1.862322524189949, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.2016892172396183, + "step": 1361 + }, + { + "epoch": 0.227, + "grad_norm": 29.875, + "grad_norm_var": 8.57890625, + "learning_rate": 8.783264108359728e-05, + "loss": 7.1565, + "loss/crossentropy": 1.7877943962812424, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.20448906905949116, + "step": 1362 + }, + { + "epoch": 0.22716666666666666, + "grad_norm": 29.625, + "grad_norm_var": 8.570247395833333, + "learning_rate": 8.78155190125736e-05, + "loss": 7.4146, + "loss/crossentropy": 1.9530489146709442, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.2042655497789383, + "step": 1363 + }, + { + "epoch": 0.22733333333333333, + "grad_norm": 36.75, + "grad_norm_var": 11.282747395833333, + "learning_rate": 8.779838657421092e-05, + "loss": 7.2438, + "loss/crossentropy": 2.173504024744034, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.20246214047074318, + "step": 1364 + }, + { + "epoch": 0.2275, + "grad_norm": 30.375, + "grad_norm_var": 8.868489583333334, + "learning_rate": 8.778124377320618e-05, + "loss": 6.9205, + "loss/crossentropy": 1.4049129486083984, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.17277532443404198, + "step": 1365 + }, + { + "epoch": 0.22766666666666666, + "grad_norm": 27.375, + "grad_norm_var": 9.287434895833334, + "learning_rate": 8.776409061425919e-05, + "loss": 6.9055, + "loss/crossentropy": 1.3801761269569397, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.14728276431560516, + "step": 1366 + }, + { + "epoch": 0.22783333333333333, + "grad_norm": 28.5, + "grad_norm_var": 9.390559895833333, + "learning_rate": 8.774692710207257e-05, + "loss": 6.8519, + "loss/crossentropy": 1.3856933414936066, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.21369173377752304, + "step": 1367 + }, + { + "epoch": 0.228, + "grad_norm": 29.5, + "grad_norm_var": 9.268684895833333, + "learning_rate": 8.772975324135179e-05, + "loss": 6.6001, + "loss/crossentropy": 1.3469049483537674, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.13380655460059643, + "step": 1368 + }, + { + "epoch": 0.22816666666666666, + "grad_norm": 31.25, + "grad_norm_var": 8.673958333333333, + "learning_rate": 8.771256903680519e-05, + "loss": 6.8957, + "loss/crossentropy": 1.1714013069868088, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.20499271154403687, + "step": 1369 + }, + { + "epoch": 0.22833333333333333, + "grad_norm": 28.5, + "grad_norm_var": 8.419205729166666, + "learning_rate": 8.769537449314391e-05, + "loss": 6.8322, + "loss/crossentropy": 1.8354635387659073, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.16002275049686432, + "step": 1370 + }, + { + "epoch": 0.2285, + "grad_norm": 28.875, + "grad_norm_var": 8.308268229166666, + "learning_rate": 8.76781696150819e-05, + "loss": 6.8736, + "loss/crossentropy": 1.9772877991199493, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1661224588751793, + "step": 1371 + }, + { + "epoch": 0.22866666666666666, + "grad_norm": 28.75, + "grad_norm_var": 8.416080729166667, + "learning_rate": 8.766095440733601e-05, + "loss": 6.8107, + "loss/crossentropy": 1.4746856093406677, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.1853000782430172, + "step": 1372 + }, + { + "epoch": 0.22883333333333333, + "grad_norm": 33.25, + "grad_norm_var": 5.877018229166667, + "learning_rate": 8.764372887462586e-05, + "loss": 6.9663, + "loss/crossentropy": 1.777550995349884, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.17858651094138622, + "step": 1373 + }, + { + "epoch": 0.229, + "grad_norm": 29.0, + "grad_norm_var": 5.744205729166667, + "learning_rate": 8.762649302167395e-05, + "loss": 6.8985, + "loss/crossentropy": 1.3290674686431885, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.15025487542152405, + "step": 1374 + }, + { + "epoch": 0.22916666666666666, + "grad_norm": 28.0, + "grad_norm_var": 5.939518229166667, + "learning_rate": 8.760924685320557e-05, + "loss": 7.1549, + "loss/crossentropy": 1.9009324610233307, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.17355919256806374, + "step": 1375 + }, + { + "epoch": 0.22933333333333333, + "grad_norm": 29.875, + "grad_norm_var": 5.861393229166667, + "learning_rate": 8.759199037394887e-05, + "loss": 7.1262, + "loss/crossentropy": 2.2094116806983948, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.1695697419345379, + "step": 1376 + }, + { + "epoch": 0.2295, + "grad_norm": 29.875, + "grad_norm_var": 5.163997395833333, + "learning_rate": 8.757472358863481e-05, + "loss": 7.0997, + "loss/crossentropy": 2.250872015953064, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.20045072957873344, + "step": 1377 + }, + { + "epoch": 0.22966666666666666, + "grad_norm": 27.125, + "grad_norm_var": 5.6681640625, + "learning_rate": 8.755744650199716e-05, + "loss": 6.8707, + "loss/crossentropy": 1.9199231564998627, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1821548417210579, + "step": 1378 + }, + { + "epoch": 0.22983333333333333, + "grad_norm": 29.375, + "grad_norm_var": 5.6775390625, + "learning_rate": 8.754015911877255e-05, + "loss": 7.343, + "loss/crossentropy": 1.9021850228309631, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.2082943543791771, + "step": 1379 + }, + { + "epoch": 0.23, + "grad_norm": 28.625, + "grad_norm_var": 2.2455729166666667, + "learning_rate": 8.752286144370041e-05, + "loss": 7.3073, + "loss/crossentropy": 1.9341810941696167, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.17061935551464558, + "step": 1380 + }, + { + "epoch": 0.23016666666666666, + "grad_norm": 28.875, + "grad_norm_var": 2.164322916666667, + "learning_rate": 8.750555348152298e-05, + "loss": 7.2699, + "loss/crossentropy": 1.358662635087967, + "loss/hidden": 3.859375, + "loss/jsd": 0.0, + "loss/logits": 0.2191124390810728, + "step": 1381 + }, + { + "epoch": 0.23033333333333333, + "grad_norm": 30.125, + "grad_norm_var": 1.978125, + "learning_rate": 8.748823523698535e-05, + "loss": 7.388, + "loss/crossentropy": 1.9777554273605347, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.265559408813715, + "step": 1382 + }, + { + "epoch": 0.2305, + "grad_norm": 34.25, + "grad_norm_var": 3.39765625, + "learning_rate": 8.747090671483542e-05, + "loss": 7.2046, + "loss/crossentropy": 1.8751341998577118, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.23485557362437248, + "step": 1383 + }, + { + "epoch": 0.23066666666666666, + "grad_norm": 34.75, + "grad_norm_var": 4.978125, + "learning_rate": 8.745356791982391e-05, + "loss": 7.1845, + "loss/crossentropy": 1.5384764969348907, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.18676547519862652, + "step": 1384 + }, + { + "epoch": 0.23083333333333333, + "grad_norm": 30.75, + "grad_norm_var": 4.9125, + "learning_rate": 8.74362188567043e-05, + "loss": 6.8499, + "loss/crossentropy": 1.632831186056137, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.14724744111299515, + "step": 1385 + }, + { + "epoch": 0.231, + "grad_norm": 28.625, + "grad_norm_var": 4.8884765625, + "learning_rate": 8.741885953023301e-05, + "loss": 7.058, + "loss/crossentropy": 1.5368026793003082, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.19731464236974716, + "step": 1386 + }, + { + "epoch": 0.23116666666666666, + "grad_norm": 28.0, + "grad_norm_var": 5.068489583333333, + "learning_rate": 8.740148994516912e-05, + "loss": 7.3183, + "loss/crossentropy": 1.9754838049411774, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.2648444287478924, + "step": 1387 + }, + { + "epoch": 0.23133333333333334, + "grad_norm": 30.0, + "grad_norm_var": 4.965625, + "learning_rate": 8.738411010627466e-05, + "loss": 7.2079, + "loss/crossentropy": 1.6709902584552765, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.1980009637773037, + "step": 1388 + }, + { + "epoch": 0.2315, + "grad_norm": 29.5, + "grad_norm_var": 4.23515625, + "learning_rate": 8.736672001831438e-05, + "loss": 6.896, + "loss/crossentropy": 1.4954399168491364, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.12558046355843544, + "step": 1389 + }, + { + "epoch": 0.23166666666666666, + "grad_norm": 29.125, + "grad_norm_var": 4.2228515625, + "learning_rate": 8.734931968605589e-05, + "loss": 7.1168, + "loss/crossentropy": 1.7655189633369446, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.30897774174809456, + "step": 1390 + }, + { + "epoch": 0.23183333333333334, + "grad_norm": 28.25, + "grad_norm_var": 4.1666015625, + "learning_rate": 8.733190911426958e-05, + "loss": 7.2112, + "loss/crossentropy": 2.017255276441574, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.19111590459942818, + "step": 1391 + }, + { + "epoch": 0.232, + "grad_norm": 29.125, + "grad_norm_var": 4.1962890625, + "learning_rate": 8.731448830772864e-05, + "loss": 6.8487, + "loss/crossentropy": 1.6656021475791931, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.1857664603739977, + "step": 1392 + }, + { + "epoch": 0.23216666666666666, + "grad_norm": 28.375, + "grad_norm_var": 4.3166015625, + "learning_rate": 8.729705727120911e-05, + "loss": 7.4448, + "loss/crossentropy": 1.529506891965866, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.1576174721121788, + "step": 1393 + }, + { + "epoch": 0.23233333333333334, + "grad_norm": 29.75, + "grad_norm_var": 3.853125, + "learning_rate": 8.72796160094898e-05, + "loss": 7.5149, + "loss/crossentropy": 1.2481360882520676, + "loss/hidden": 3.9609375, + "loss/jsd": 0.0, + "loss/logits": 0.26495122350752354, + "step": 1394 + }, + { + "epoch": 0.2325, + "grad_norm": 36.0, + "grad_norm_var": 6.1822265625, + "learning_rate": 8.726216452735232e-05, + "loss": 7.2105, + "loss/crossentropy": 1.9443733096122742, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.20606354251503944, + "step": 1395 + }, + { + "epoch": 0.23266666666666666, + "grad_norm": 29.25, + "grad_norm_var": 6.070572916666666, + "learning_rate": 8.724470282958111e-05, + "loss": 6.9416, + "loss/crossentropy": 1.9610607624053955, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.1985795944929123, + "step": 1396 + }, + { + "epoch": 0.23283333333333334, + "grad_norm": 30.75, + "grad_norm_var": 5.934830729166666, + "learning_rate": 8.722723092096338e-05, + "loss": 7.2134, + "loss/crossentropy": 1.5050616040825844, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.230638038367033, + "step": 1397 + }, + { + "epoch": 0.233, + "grad_norm": 29.375, + "grad_norm_var": 5.998893229166667, + "learning_rate": 8.720974880628916e-05, + "loss": 7.1159, + "loss/crossentropy": 1.1800313591957092, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.2613990902900696, + "step": 1398 + }, + { + "epoch": 0.23316666666666666, + "grad_norm": 27.0, + "grad_norm_var": 5.5306640625, + "learning_rate": 8.719225649035126e-05, + "loss": 7.1222, + "loss/crossentropy": 1.548551693558693, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.19349294528365135, + "step": 1399 + }, + { + "epoch": 0.23333333333333334, + "grad_norm": 35.5, + "grad_norm_var": 6.0494140625, + "learning_rate": 8.717475397794531e-05, + "loss": 6.9024, + "loss/crossentropy": 1.6936389207839966, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.19783683493733406, + "step": 1400 + }, + { + "epoch": 0.2335, + "grad_norm": 30.25, + "grad_norm_var": 6.012434895833334, + "learning_rate": 8.715724127386972e-05, + "loss": 7.1538, + "loss/crossentropy": 1.5932972878217697, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.16691654548048973, + "step": 1401 + }, + { + "epoch": 0.23366666666666666, + "grad_norm": 32.25, + "grad_norm_var": 6.203125, + "learning_rate": 8.713971838292569e-05, + "loss": 7.171, + "loss/crossentropy": 1.684373527765274, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.20065860822796822, + "step": 1402 + }, + { + "epoch": 0.23383333333333334, + "grad_norm": 29.5, + "grad_norm_var": 5.9125, + "learning_rate": 8.712218530991723e-05, + "loss": 7.276, + "loss/crossentropy": 1.7293904423713684, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.16419371217489243, + "step": 1403 + }, + { + "epoch": 0.234, + "grad_norm": 28.0, + "grad_norm_var": 6.229166666666667, + "learning_rate": 8.710464205965112e-05, + "loss": 7.0833, + "loss/crossentropy": 1.6907464861869812, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.1767747402191162, + "step": 1404 + }, + { + "epoch": 0.23416666666666666, + "grad_norm": 30.0, + "grad_norm_var": 6.203125, + "learning_rate": 8.708708863693697e-05, + "loss": 7.1463, + "loss/crossentropy": 1.6274442970752716, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.2582891583442688, + "step": 1405 + }, + { + "epoch": 0.23433333333333334, + "grad_norm": 30.75, + "grad_norm_var": 6.1447265625, + "learning_rate": 8.706952504658712e-05, + "loss": 7.0599, + "loss/crossentropy": 1.5662869662046432, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.1793067865073681, + "step": 1406 + }, + { + "epoch": 0.2345, + "grad_norm": 30.625, + "grad_norm_var": 5.861458333333333, + "learning_rate": 8.705195129341672e-05, + "loss": 7.2891, + "loss/crossentropy": 1.635928362607956, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.13916829228401184, + "step": 1407 + }, + { + "epoch": 0.23466666666666666, + "grad_norm": 28.875, + "grad_norm_var": 5.908072916666667, + "learning_rate": 8.703436738224375e-05, + "loss": 6.9642, + "loss/crossentropy": 1.8249442875385284, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.18701985105872154, + "step": 1408 + }, + { + "epoch": 0.23483333333333334, + "grad_norm": 30.25, + "grad_norm_var": 5.623893229166667, + "learning_rate": 8.701677331788891e-05, + "loss": 7.2283, + "loss/crossentropy": 1.5654152929782867, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.247907355427742, + "step": 1409 + }, + { + "epoch": 0.235, + "grad_norm": 31.375, + "grad_norm_var": 5.624739583333334, + "learning_rate": 8.699916910517573e-05, + "loss": 7.1302, + "loss/crossentropy": 1.9997363090515137, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.20151901245117188, + "step": 1410 + }, + { + "epoch": 0.23516666666666666, + "grad_norm": 36.5, + "grad_norm_var": 5.999739583333334, + "learning_rate": 8.69815547489305e-05, + "loss": 6.9722, + "loss/crossentropy": 1.9183299839496613, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.1610793862491846, + "step": 1411 + }, + { + "epoch": 0.23533333333333334, + "grad_norm": 31.5, + "grad_norm_var": 5.898958333333334, + "learning_rate": 8.696393025398229e-05, + "loss": 6.8754, + "loss/crossentropy": 1.6777728497982025, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.1674475595355034, + "step": 1412 + }, + { + "epoch": 0.2355, + "grad_norm": 29.375, + "grad_norm_var": 6.0228515625, + "learning_rate": 8.694629562516294e-05, + "loss": 7.1442, + "loss/crossentropy": 1.218498095870018, + "loss/hidden": 4.015625, + "loss/jsd": 0.0, + "loss/logits": 0.21704785898327827, + "step": 1413 + }, + { + "epoch": 0.23566666666666666, + "grad_norm": 27.25, + "grad_norm_var": 6.679166666666666, + "learning_rate": 8.692865086730713e-05, + "loss": 7.003, + "loss/crossentropy": 1.756615787744522, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.20079421997070312, + "step": 1414 + }, + { + "epoch": 0.23583333333333334, + "grad_norm": 27.625, + "grad_norm_var": 6.406705729166666, + "learning_rate": 8.69109959852522e-05, + "loss": 7.0626, + "loss/crossentropy": 2.1831423342227936, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.20736485719680786, + "step": 1415 + }, + { + "epoch": 0.236, + "grad_norm": 29.875, + "grad_norm_var": 4.710416666666666, + "learning_rate": 8.689333098383842e-05, + "loss": 7.1615, + "loss/crossentropy": 1.6375371515750885, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.16935132816433907, + "step": 1416 + }, + { + "epoch": 0.23616666666666666, + "grad_norm": 29.25, + "grad_norm_var": 4.772916666666666, + "learning_rate": 8.68756558679087e-05, + "loss": 7.1256, + "loss/crossentropy": 1.921682059764862, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.20466305688023567, + "step": 1417 + }, + { + "epoch": 0.23633333333333334, + "grad_norm": 29.625, + "grad_norm_var": 4.481705729166666, + "learning_rate": 8.685797064230878e-05, + "loss": 7.2413, + "loss/crossentropy": 1.344342216849327, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.22074035368859768, + "step": 1418 + }, + { + "epoch": 0.2365, + "grad_norm": 28.375, + "grad_norm_var": 4.639322916666667, + "learning_rate": 8.684027531188717e-05, + "loss": 6.9632, + "loss/crossentropy": 1.786535769701004, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.16699090600013733, + "step": 1419 + }, + { + "epoch": 0.23666666666666666, + "grad_norm": 29.125, + "grad_norm_var": 4.425455729166667, + "learning_rate": 8.682256988149513e-05, + "loss": 7.1572, + "loss/crossentropy": 1.7073152661323547, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.2525929920375347, + "step": 1420 + }, + { + "epoch": 0.23683333333333334, + "grad_norm": 29.75, + "grad_norm_var": 4.430143229166666, + "learning_rate": 8.680485435598673e-05, + "loss": 7.1865, + "loss/crossentropy": 1.6526244580745697, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.1847163327038288, + "step": 1421 + }, + { + "epoch": 0.237, + "grad_norm": 28.125, + "grad_norm_var": 4.601041666666666, + "learning_rate": 8.678712874021874e-05, + "loss": 7.184, + "loss/crossentropy": 1.9928257465362549, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.21139519289135933, + "step": 1422 + }, + { + "epoch": 0.23716666666666666, + "grad_norm": 28.625, + "grad_norm_var": 4.642708333333333, + "learning_rate": 8.67693930390508e-05, + "loss": 7.0479, + "loss/crossentropy": 1.5828899145126343, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.1637626551091671, + "step": 1423 + }, + { + "epoch": 0.23733333333333334, + "grad_norm": 30.25, + "grad_norm_var": 4.606184895833334, + "learning_rate": 8.67516472573452e-05, + "loss": 7.3309, + "loss/crossentropy": 2.038231670856476, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.15858252346515656, + "step": 1424 + }, + { + "epoch": 0.2375, + "grad_norm": 29.375, + "grad_norm_var": 4.602083333333334, + "learning_rate": 8.673389139996708e-05, + "loss": 6.7987, + "loss/crossentropy": 1.5226624310016632, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.13311301730573177, + "step": 1425 + }, + { + "epoch": 0.23766666666666666, + "grad_norm": 30.0, + "grad_norm_var": 4.422330729166666, + "learning_rate": 8.671612547178428e-05, + "loss": 7.3592, + "loss/crossentropy": 1.7062960714101791, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.25913639180362225, + "step": 1426 + }, + { + "epoch": 0.23783333333333334, + "grad_norm": 30.0, + "grad_norm_var": 1.1384765625, + "learning_rate": 8.669834947766746e-05, + "loss": 7.5093, + "loss/crossentropy": 1.1424612551927567, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.16857817955315113, + "step": 1427 + }, + { + "epoch": 0.238, + "grad_norm": 29.25, + "grad_norm_var": 0.7822265625, + "learning_rate": 8.668056342248998e-05, + "loss": 7.3723, + "loss/crossentropy": 1.6899997889995575, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.20195226930081844, + "step": 1428 + }, + { + "epoch": 0.23816666666666667, + "grad_norm": 27.75, + "grad_norm_var": 0.89140625, + "learning_rate": 8.666276731112801e-05, + "loss": 6.9453, + "loss/crossentropy": 1.98584845662117, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.15120555087924004, + "step": 1429 + }, + { + "epoch": 0.23833333333333334, + "grad_norm": 27.75, + "grad_norm_var": 0.7893229166666667, + "learning_rate": 8.664496114846044e-05, + "loss": 6.9196, + "loss/crossentropy": 2.0655926167964935, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.18351034075021744, + "step": 1430 + }, + { + "epoch": 0.2385, + "grad_norm": 29.25, + "grad_norm_var": 0.6462890625, + "learning_rate": 8.662714493936895e-05, + "loss": 7.362, + "loss/crossentropy": 1.6687164604663849, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.21955528669059277, + "step": 1431 + }, + { + "epoch": 0.23866666666666667, + "grad_norm": 28.25, + "grad_norm_var": 0.65390625, + "learning_rate": 8.660931868873793e-05, + "loss": 6.9246, + "loss/crossentropy": 1.4787462428212166, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.19696292839944363, + "step": 1432 + }, + { + "epoch": 0.23883333333333334, + "grad_norm": 29.625, + "grad_norm_var": 0.6728515625, + "learning_rate": 8.659148240145456e-05, + "loss": 7.0976, + "loss/crossentropy": 1.5287677347660065, + "loss/hidden": 4.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.22544145584106445, + "step": 1433 + }, + { + "epoch": 0.239, + "grad_norm": 30.375, + "grad_norm_var": 0.7634765625, + "learning_rate": 8.657363608240876e-05, + "loss": 7.1543, + "loss/crossentropy": 1.9106423556804657, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.2270779311656952, + "step": 1434 + }, + { + "epoch": 0.23916666666666667, + "grad_norm": 28.75, + "grad_norm_var": 0.73515625, + "learning_rate": 8.655577973649321e-05, + "loss": 7.0022, + "loss/crossentropy": 2.2625996470451355, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.19603535532951355, + "step": 1435 + }, + { + "epoch": 0.23933333333333334, + "grad_norm": 29.25, + "grad_norm_var": 0.7358723958333333, + "learning_rate": 8.653791336860331e-05, + "loss": 7.0308, + "loss/crossentropy": 1.6555210202932358, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.20859287679195404, + "step": 1436 + }, + { + "epoch": 0.2395, + "grad_norm": 29.625, + "grad_norm_var": 0.7268229166666667, + "learning_rate": 8.652003698363724e-05, + "loss": 7.385, + "loss/crossentropy": 1.9578928053379059, + "loss/hidden": 3.58984375, + "loss/jsd": 0.0, + "loss/logits": 0.19808416441082954, + "step": 1437 + }, + { + "epoch": 0.23966666666666667, + "grad_norm": 29.375, + "grad_norm_var": 0.6552083333333333, + "learning_rate": 8.65021505864959e-05, + "loss": 6.9802, + "loss/crossentropy": 1.7287716567516327, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.13078411109745502, + "step": 1438 + }, + { + "epoch": 0.23983333333333334, + "grad_norm": 27.875, + "grad_norm_var": 0.7497395833333333, + "learning_rate": 8.648425418208294e-05, + "loss": 6.2799, + "loss/crossentropy": 1.2794785052537918, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.10539323464035988, + "step": 1439 + }, + { + "epoch": 0.24, + "grad_norm": 28.5, + "grad_norm_var": 0.6895833333333333, + "learning_rate": 8.64663477753048e-05, + "loss": 6.9211, + "loss/crossentropy": 1.483281522989273, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.20138464868068695, + "step": 1440 + }, + { + "epoch": 0.24016666666666667, + "grad_norm": 29.75, + "grad_norm_var": 0.7139973958333333, + "learning_rate": 8.644843137107059e-05, + "loss": 7.3511, + "loss/crossentropy": 1.6645758748054504, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.19149157777428627, + "step": 1441 + }, + { + "epoch": 0.24033333333333334, + "grad_norm": 26.875, + "grad_norm_var": 0.9434895833333333, + "learning_rate": 8.64305049742922e-05, + "loss": 6.9328, + "loss/crossentropy": 1.7084144353866577, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.20016243122518063, + "step": 1442 + }, + { + "epoch": 0.2405, + "grad_norm": 28.875, + "grad_norm_var": 0.8561848958333333, + "learning_rate": 8.641256858988424e-05, + "loss": 7.3646, + "loss/crossentropy": 2.013769954442978, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.23251285776495934, + "step": 1443 + }, + { + "epoch": 0.24066666666666667, + "grad_norm": 31.0, + "grad_norm_var": 1.1478515625, + "learning_rate": 8.639462222276409e-05, + "loss": 7.2612, + "loss/crossentropy": 1.9536723494529724, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.2065252885222435, + "step": 1444 + }, + { + "epoch": 0.24083333333333334, + "grad_norm": 29.25, + "grad_norm_var": 1.0525390625, + "learning_rate": 8.637666587785184e-05, + "loss": 7.1018, + "loss/crossentropy": 1.3268489837646484, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.15171853080391884, + "step": 1445 + }, + { + "epoch": 0.241, + "grad_norm": 28.625, + "grad_norm_var": 0.9518229166666666, + "learning_rate": 8.635869956007034e-05, + "loss": 7.103, + "loss/crossentropy": 1.5661400854587555, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1982056424021721, + "step": 1446 + }, + { + "epoch": 0.24116666666666667, + "grad_norm": 30.125, + "grad_norm_var": 1.0197265625, + "learning_rate": 8.634072327434515e-05, + "loss": 7.0494, + "loss/crossentropy": 1.7641910314559937, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.17389076203107834, + "step": 1447 + }, + { + "epoch": 0.24133333333333334, + "grad_norm": 29.125, + "grad_norm_var": 0.9645833333333333, + "learning_rate": 8.632273702560456e-05, + "loss": 7.1942, + "loss/crossentropy": 1.8309511989355087, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1622365154325962, + "step": 1448 + }, + { + "epoch": 0.2415, + "grad_norm": 30.25, + "grad_norm_var": 1.0254557291666666, + "learning_rate": 8.630474081877959e-05, + "loss": 7.0812, + "loss/crossentropy": 1.5874554812908173, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.1834915168583393, + "step": 1449 + }, + { + "epoch": 0.24166666666666667, + "grad_norm": 30.875, + "grad_norm_var": 1.1176432291666667, + "learning_rate": 8.628673465880404e-05, + "loss": 7.0935, + "loss/crossentropy": 1.8441435992717743, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.2328551672399044, + "step": 1450 + }, + { + "epoch": 0.24183333333333334, + "grad_norm": 31.75, + "grad_norm_var": 1.4770182291666667, + "learning_rate": 8.626871855061438e-05, + "loss": 7.7535, + "loss/crossentropy": 1.5417988896369934, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.22341690957546234, + "step": 1451 + }, + { + "epoch": 0.242, + "grad_norm": 30.125, + "grad_norm_var": 1.5020833333333334, + "learning_rate": 8.625069249914983e-05, + "loss": 6.9252, + "loss/crossentropy": 1.7583518028259277, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.18824856542050838, + "step": 1452 + }, + { + "epoch": 0.24216666666666667, + "grad_norm": 27.75, + "grad_norm_var": 1.6905598958333334, + "learning_rate": 8.623265650935234e-05, + "loss": 7.0858, + "loss/crossentropy": 1.8695081770420074, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.19029086455702782, + "step": 1453 + }, + { + "epoch": 0.24233333333333335, + "grad_norm": 29.125, + "grad_norm_var": 1.6947265625, + "learning_rate": 8.621461058616656e-05, + "loss": 7.2882, + "loss/crossentropy": 1.8658898174762726, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.17425318621098995, + "step": 1454 + }, + { + "epoch": 0.2425, + "grad_norm": 28.125, + "grad_norm_var": 1.6488932291666667, + "learning_rate": 8.61965547345399e-05, + "loss": 7.2973, + "loss/crossentropy": 2.263028144836426, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.19143683463335037, + "step": 1455 + }, + { + "epoch": 0.24266666666666667, + "grad_norm": 30.25, + "grad_norm_var": 1.6343098958333333, + "learning_rate": 8.617848895942247e-05, + "loss": 7.3989, + "loss/crossentropy": 1.6578317731618881, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.22550906985998154, + "step": 1456 + }, + { + "epoch": 0.24283333333333335, + "grad_norm": 29.0, + "grad_norm_var": 1.6436848958333334, + "learning_rate": 8.616041326576711e-05, + "loss": 7.0332, + "loss/crossentropy": 1.3771851062774658, + "loss/hidden": 3.13671875, + "loss/jsd": 0.0, + "loss/logits": 0.13404356315732002, + "step": 1457 + }, + { + "epoch": 0.243, + "grad_norm": 27.125, + "grad_norm_var": 1.5619140625, + "learning_rate": 8.614232765852935e-05, + "loss": 6.8897, + "loss/crossentropy": 1.9517407417297363, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.17514695599675179, + "step": 1458 + }, + { + "epoch": 0.24316666666666667, + "grad_norm": 27.5, + "grad_norm_var": 1.7875, + "learning_rate": 8.612423214266749e-05, + "loss": 7.2573, + "loss/crossentropy": 2.2129026502370834, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.18541562743484974, + "step": 1459 + }, + { + "epoch": 0.24333333333333335, + "grad_norm": 30.625, + "grad_norm_var": 1.7150390625, + "learning_rate": 8.610612672314251e-05, + "loss": 7.1514, + "loss/crossentropy": 2.064738839864731, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.2067314051091671, + "step": 1460 + }, + { + "epoch": 0.2435, + "grad_norm": 28.875, + "grad_norm_var": 1.72890625, + "learning_rate": 8.608801140491811e-05, + "loss": 7.0956, + "loss/crossentropy": 1.7680425941944122, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.18307415023446083, + "step": 1461 + }, + { + "epoch": 0.24366666666666667, + "grad_norm": 30.5, + "grad_norm_var": 1.7728515625, + "learning_rate": 8.606988619296071e-05, + "loss": 7.4754, + "loss/crossentropy": 1.802744910120964, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.2313058190047741, + "step": 1462 + }, + { + "epoch": 0.24383333333333335, + "grad_norm": 29.875, + "grad_norm_var": 1.7541015625, + "learning_rate": 8.605175109223944e-05, + "loss": 7.1625, + "loss/crossentropy": 1.8716177940368652, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.2981249988079071, + "step": 1463 + }, + { + "epoch": 0.244, + "grad_norm": 30.625, + "grad_norm_var": 1.8337890625, + "learning_rate": 8.603360610772612e-05, + "loss": 7.1777, + "loss/crossentropy": 1.2806765884160995, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1341677624732256, + "step": 1464 + }, + { + "epoch": 0.24416666666666667, + "grad_norm": 30.0, + "grad_norm_var": 1.8134765625, + "learning_rate": 8.601545124439535e-05, + "loss": 7.2685, + "loss/crossentropy": 1.607251137495041, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.16256394609808922, + "step": 1465 + }, + { + "epoch": 0.24433333333333335, + "grad_norm": 27.625, + "grad_norm_var": 1.8811848958333333, + "learning_rate": 8.599728650722434e-05, + "loss": 7.2185, + "loss/crossentropy": 2.2882717847824097, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.18641741573810577, + "step": 1466 + }, + { + "epoch": 0.2445, + "grad_norm": 27.75, + "grad_norm_var": 1.5770182291666666, + "learning_rate": 8.597911190119308e-05, + "loss": 7.0735, + "loss/crossentropy": 1.8172245025634766, + "loss/hidden": 2.99609375, + "loss/jsd": 0.0, + "loss/logits": 0.12977637723088264, + "step": 1467 + }, + { + "epoch": 0.24466666666666667, + "grad_norm": 31.625, + "grad_norm_var": 1.9317057291666666, + "learning_rate": 8.596092743128423e-05, + "loss": 7.356, + "loss/crossentropy": 1.969709873199463, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.1908802092075348, + "step": 1468 + }, + { + "epoch": 0.24483333333333332, + "grad_norm": 29.875, + "grad_norm_var": 1.8177083333333333, + "learning_rate": 8.594273310248318e-05, + "loss": 6.9405, + "loss/crossentropy": 1.341288834810257, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.14361903257668018, + "step": 1469 + }, + { + "epoch": 0.245, + "grad_norm": 31.125, + "grad_norm_var": 2.0260416666666665, + "learning_rate": 8.592452891977798e-05, + "loss": 7.1089, + "loss/crossentropy": 1.6152670085430145, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.17580680549144745, + "step": 1470 + }, + { + "epoch": 0.24516666666666667, + "grad_norm": 32.5, + "grad_norm_var": 2.4749348958333335, + "learning_rate": 8.590631488815944e-05, + "loss": 7.042, + "loss/crossentropy": 1.5854146480560303, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.21539480239152908, + "step": 1471 + }, + { + "epoch": 0.24533333333333332, + "grad_norm": 29.0, + "grad_norm_var": 2.4775390625, + "learning_rate": 8.588809101262103e-05, + "loss": 7.6967, + "loss/crossentropy": 2.045955151319504, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.2777820751070976, + "step": 1472 + }, + { + "epoch": 0.2455, + "grad_norm": 28.75, + "grad_norm_var": 2.5014973958333333, + "learning_rate": 8.586985729815894e-05, + "loss": 7.0096, + "loss/crossentropy": 1.769845336675644, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.20903560891747475, + "step": 1473 + }, + { + "epoch": 0.24566666666666667, + "grad_norm": 27.875, + "grad_norm_var": 2.2905598958333333, + "learning_rate": 8.585161374977202e-05, + "loss": 7.0576, + "loss/crossentropy": 1.7164052724838257, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.21758262440562248, + "step": 1474 + }, + { + "epoch": 0.24583333333333332, + "grad_norm": 29.75, + "grad_norm_var": 1.9671223958333333, + "learning_rate": 8.583336037246186e-05, + "loss": 7.3073, + "loss/crossentropy": 1.736921712756157, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.184262003749609, + "step": 1475 + }, + { + "epoch": 0.246, + "grad_norm": 27.0, + "grad_norm_var": 2.376822916666667, + "learning_rate": 8.581509717123273e-05, + "loss": 6.9367, + "loss/crossentropy": 2.058397263288498, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.15587017685174942, + "step": 1476 + }, + { + "epoch": 0.24616666666666667, + "grad_norm": 28.625, + "grad_norm_var": 2.403125, + "learning_rate": 8.579682415109156e-05, + "loss": 7.0199, + "loss/crossentropy": 1.1905291378498077, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.14508189260959625, + "step": 1477 + }, + { + "epoch": 0.24633333333333332, + "grad_norm": 28.75, + "grad_norm_var": 2.3684895833333335, + "learning_rate": 8.577854131704805e-05, + "loss": 7.2465, + "loss/crossentropy": 1.8980498313903809, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.16383585706353188, + "step": 1478 + }, + { + "epoch": 0.2465, + "grad_norm": 31.125, + "grad_norm_var": 2.5416666666666665, + "learning_rate": 8.576024867411451e-05, + "loss": 7.3609, + "loss/crossentropy": 1.4511105865240097, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.19967563822865486, + "step": 1479 + }, + { + "epoch": 0.24666666666666667, + "grad_norm": 28.25, + "grad_norm_var": 2.537955729166667, + "learning_rate": 8.574194622730599e-05, + "loss": 7.1107, + "loss/crossentropy": 1.9621224701404572, + "loss/hidden": 3.93359375, + "loss/jsd": 0.0, + "loss/logits": 0.23716596141457558, + "step": 1480 + }, + { + "epoch": 0.24683333333333332, + "grad_norm": 30.0, + "grad_norm_var": 2.537955729166667, + "learning_rate": 8.572363398164017e-05, + "loss": 7.4774, + "loss/crossentropy": 1.8094448447227478, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.2159697487950325, + "step": 1481 + }, + { + "epoch": 0.247, + "grad_norm": 29.625, + "grad_norm_var": 2.3275390625, + "learning_rate": 8.57053119421375e-05, + "loss": 7.1269, + "loss/crossentropy": 1.6197231113910675, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.21871723979711533, + "step": 1482 + }, + { + "epoch": 0.24716666666666667, + "grad_norm": 32.0, + "grad_norm_var": 2.4780598958333333, + "learning_rate": 8.568698011382107e-05, + "loss": 7.2147, + "loss/crossentropy": 1.4285579323768616, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.1964031122624874, + "step": 1483 + }, + { + "epoch": 0.24733333333333332, + "grad_norm": 29.25, + "grad_norm_var": 2.234375, + "learning_rate": 8.566863850171663e-05, + "loss": 6.9712, + "loss/crossentropy": 1.8760530650615692, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.16306671872735023, + "step": 1484 + }, + { + "epoch": 0.2475, + "grad_norm": 31.625, + "grad_norm_var": 2.49140625, + "learning_rate": 8.565028711085265e-05, + "loss": 7.1485, + "loss/crossentropy": 1.5396107137203217, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.19017787277698517, + "step": 1485 + }, + { + "epoch": 0.24766666666666667, + "grad_norm": 27.625, + "grad_norm_var": 2.593489583333333, + "learning_rate": 8.563192594626027e-05, + "loss": 6.8738, + "loss/crossentropy": 1.8597404062747955, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.16237230971455574, + "step": 1486 + }, + { + "epoch": 0.24783333333333332, + "grad_norm": 30.5, + "grad_norm_var": 2.039322916666667, + "learning_rate": 8.56135550129733e-05, + "loss": 7.2401, + "loss/crossentropy": 1.8960184007883072, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.1787395477294922, + "step": 1487 + }, + { + "epoch": 0.248, + "grad_norm": 30.75, + "grad_norm_var": 2.146875, + "learning_rate": 8.559517431602824e-05, + "loss": 6.8938, + "loss/crossentropy": 1.3574792072176933, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1407286524772644, + "step": 1488 + }, + { + "epoch": 0.24816666666666667, + "grad_norm": 32.5, + "grad_norm_var": 2.66640625, + "learning_rate": 8.557678386046428e-05, + "loss": 6.9772, + "loss/crossentropy": 1.5204390436410904, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.20090862177312374, + "step": 1489 + }, + { + "epoch": 0.24833333333333332, + "grad_norm": 33.5, + "grad_norm_var": 3.2728515625, + "learning_rate": 8.555838365132323e-05, + "loss": 7.2302, + "loss/crossentropy": 1.2873146086931229, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.1601069662719965, + "step": 1490 + }, + { + "epoch": 0.2485, + "grad_norm": 29.75, + "grad_norm_var": 3.2728515625, + "learning_rate": 8.553997369364963e-05, + "loss": 6.9754, + "loss/crossentropy": 1.7107758224010468, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.20447992160916328, + "step": 1491 + }, + { + "epoch": 0.24866666666666667, + "grad_norm": 29.875, + "grad_norm_var": 2.6184895833333335, + "learning_rate": 8.552155399249067e-05, + "loss": 7.0746, + "loss/crossentropy": 1.730744630098343, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.15238011628389359, + "step": 1492 + }, + { + "epoch": 0.24883333333333332, + "grad_norm": 27.75, + "grad_norm_var": 2.8541015625, + "learning_rate": 8.550312455289625e-05, + "loss": 6.992, + "loss/crossentropy": 1.9606659412384033, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.17902575619518757, + "step": 1493 + }, + { + "epoch": 0.249, + "grad_norm": 29.0, + "grad_norm_var": 2.8103515625, + "learning_rate": 8.548468537991884e-05, + "loss": 7.1084, + "loss/crossentropy": 1.9717397689819336, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18162487633526325, + "step": 1494 + }, + { + "epoch": 0.24916666666666668, + "grad_norm": 29.875, + "grad_norm_var": 2.753059895833333, + "learning_rate": 8.54662364786137e-05, + "loss": 7.4182, + "loss/crossentropy": 2.2676640450954437, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.16843552514910698, + "step": 1495 + }, + { + "epoch": 0.24933333333333332, + "grad_norm": 25.625, + "grad_norm_var": 3.8372395833333335, + "learning_rate": 8.544777785403868e-05, + "loss": 6.7763, + "loss/crossentropy": 1.6614613831043243, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16282613947987556, + "step": 1496 + }, + { + "epoch": 0.2495, + "grad_norm": 27.75, + "grad_norm_var": 4.139583333333333, + "learning_rate": 8.542930951125432e-05, + "loss": 6.7205, + "loss/crossentropy": 1.4288576692342758, + "loss/hidden": 3.87890625, + "loss/jsd": 0.0, + "loss/logits": 0.24302856251597404, + "step": 1497 + }, + { + "epoch": 0.24966666666666668, + "grad_norm": 27.0, + "grad_norm_var": 4.635872395833333, + "learning_rate": 8.54108314553238e-05, + "loss": 6.9826, + "loss/crossentropy": 2.0986453741788864, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.17323355376720428, + "step": 1498 + }, + { + "epoch": 0.24983333333333332, + "grad_norm": 28.75, + "grad_norm_var": 4.277018229166667, + "learning_rate": 8.539234369131301e-05, + "loss": 7.093, + "loss/crossentropy": 1.7604359090328217, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1727566346526146, + "step": 1499 + }, + { + "epoch": 0.25, + "grad_norm": 30.0, + "grad_norm_var": 4.292643229166667, + "learning_rate": 8.53738462242905e-05, + "loss": 7.2285, + "loss/crossentropy": 1.557277888059616, + "loss/hidden": 3.6484375, + "loss/jsd": 0.0, + "loss/logits": 0.18158774450421333, + "step": 1500 + }, + { + "epoch": 0.25016666666666665, + "grad_norm": 27.25, + "grad_norm_var": 4.244791666666667, + "learning_rate": 8.535533905932738e-05, + "loss": 6.8726, + "loss/crossentropy": 1.6883008480072021, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.20317288860678673, + "step": 1501 + }, + { + "epoch": 0.25033333333333335, + "grad_norm": 29.375, + "grad_norm_var": 4.064322916666667, + "learning_rate": 8.533682220149756e-05, + "loss": 6.9371, + "loss/crossentropy": 2.300634264945984, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.19072575122117996, + "step": 1502 + }, + { + "epoch": 0.2505, + "grad_norm": 29.0, + "grad_norm_var": 3.970572916666667, + "learning_rate": 8.53182956558775e-05, + "loss": 7.3828, + "loss/crossentropy": 2.0842214226722717, + "loss/hidden": 3.87890625, + "loss/jsd": 0.0, + "loss/logits": 0.43149901181459427, + "step": 1503 + }, + { + "epoch": 0.25066666666666665, + "grad_norm": 28.25, + "grad_norm_var": 3.8559895833333333, + "learning_rate": 8.52997594275464e-05, + "loss": 7.125, + "loss/crossentropy": 1.7222635746002197, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.15759752690792084, + "step": 1504 + }, + { + "epoch": 0.25083333333333335, + "grad_norm": 28.375, + "grad_norm_var": 3.0374348958333335, + "learning_rate": 8.528121352158604e-05, + "loss": 7.0611, + "loss/crossentropy": 2.133837044239044, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1868600696325302, + "step": 1505 + }, + { + "epoch": 0.251, + "grad_norm": 26.625, + "grad_norm_var": 1.7018229166666667, + "learning_rate": 8.526265794308089e-05, + "loss": 6.9267, + "loss/crossentropy": 2.0259019136428833, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.18409772589802742, + "step": 1506 + }, + { + "epoch": 0.25116666666666665, + "grad_norm": 29.0, + "grad_norm_var": 1.6010416666666667, + "learning_rate": 8.524409269711807e-05, + "loss": 7.3371, + "loss/crossentropy": 1.217084676027298, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.16649403423070908, + "step": 1507 + }, + { + "epoch": 0.25133333333333335, + "grad_norm": 27.625, + "grad_norm_var": 1.4580729166666666, + "learning_rate": 8.522551778878736e-05, + "loss": 7.1716, + "loss/crossentropy": 1.7258444428443909, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1639699935913086, + "step": 1508 + }, + { + "epoch": 0.2515, + "grad_norm": 29.875, + "grad_norm_var": 1.6119140625, + "learning_rate": 8.520693322318116e-05, + "loss": 7.4071, + "loss/crossentropy": 1.9455642998218536, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.1857447475194931, + "step": 1509 + }, + { + "epoch": 0.25166666666666665, + "grad_norm": 31.375, + "grad_norm_var": 2.1747395833333334, + "learning_rate": 8.518833900539454e-05, + "loss": 7.0886, + "loss/crossentropy": 1.5587359219789505, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.1536642387509346, + "step": 1510 + }, + { + "epoch": 0.25183333333333335, + "grad_norm": 27.5, + "grad_norm_var": 2.0869140625, + "learning_rate": 8.516973514052519e-05, + "loss": 6.7147, + "loss/crossentropy": 1.5748094320297241, + "loss/hidden": 3.21484375, + "loss/jsd": 0.0, + "loss/logits": 0.16789069026708603, + "step": 1511 + }, + { + "epoch": 0.252, + "grad_norm": 30.75, + "grad_norm_var": 1.8760416666666666, + "learning_rate": 8.515112163367351e-05, + "loss": 7.1046, + "loss/crossentropy": 1.7668732106685638, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.2092406563460827, + "step": 1512 + }, + { + "epoch": 0.25216666666666665, + "grad_norm": 30.25, + "grad_norm_var": 1.9645833333333333, + "learning_rate": 8.513249848994246e-05, + "loss": 7.1355, + "loss/crossentropy": 2.4020401537418365, + "loss/hidden": 3.0390625, + "loss/jsd": 0.0, + "loss/logits": 0.15349615179002285, + "step": 1513 + }, + { + "epoch": 0.25233333333333335, + "grad_norm": 27.625, + "grad_norm_var": 1.8379557291666666, + "learning_rate": 8.511386571443771e-05, + "loss": 6.7713, + "loss/crossentropy": 1.7552968263626099, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.22886677831411362, + "step": 1514 + }, + { + "epoch": 0.2525, + "grad_norm": 27.625, + "grad_norm_var": 1.9322916666666667, + "learning_rate": 8.50952233122675e-05, + "loss": 6.9603, + "loss/crossentropy": 1.7350502014160156, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.23234521597623825, + "step": 1515 + }, + { + "epoch": 0.25266666666666665, + "grad_norm": 27.25, + "grad_norm_var": 1.9580729166666666, + "learning_rate": 8.50765712885428e-05, + "loss": 7.0924, + "loss/crossentropy": 1.6145904064178467, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.17047151178121567, + "step": 1516 + }, + { + "epoch": 0.25283333333333335, + "grad_norm": 29.125, + "grad_norm_var": 1.8379557291666666, + "learning_rate": 8.505790964837713e-05, + "loss": 7.0948, + "loss/crossentropy": 1.5313849449157715, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.18544949404895306, + "step": 1517 + }, + { + "epoch": 0.253, + "grad_norm": 28.25, + "grad_norm_var": 1.8197916666666667, + "learning_rate": 8.503923839688667e-05, + "loss": 6.9616, + "loss/crossentropy": 1.575784295797348, + "loss/hidden": 3.5625, + "loss/jsd": 0.0, + "loss/logits": 0.20393813773989677, + "step": 1518 + }, + { + "epoch": 0.25316666666666665, + "grad_norm": 29.5, + "grad_norm_var": 1.8583333333333334, + "learning_rate": 8.502055753919032e-05, + "loss": 7.4483, + "loss/crossentropy": 2.1256864070892334, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.3466687947511673, + "step": 1519 + }, + { + "epoch": 0.25333333333333335, + "grad_norm": 29.625, + "grad_norm_var": 1.8962890625, + "learning_rate": 8.500186708040949e-05, + "loss": 6.7947, + "loss/crossentropy": 2.2411983013153076, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.1734490506350994, + "step": 1520 + }, + { + "epoch": 0.2535, + "grad_norm": 28.375, + "grad_norm_var": 1.8962890625, + "learning_rate": 8.498316702566828e-05, + "loss": 6.8642, + "loss/crossentropy": 1.929250806570053, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.1943759173154831, + "step": 1521 + }, + { + "epoch": 0.25366666666666665, + "grad_norm": 30.125, + "grad_norm_var": 1.6593098958333334, + "learning_rate": 8.496445738009342e-05, + "loss": 7.1926, + "loss/crossentropy": 2.005999267101288, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.18388929218053818, + "step": 1522 + }, + { + "epoch": 0.25383333333333336, + "grad_norm": 29.5, + "grad_norm_var": 1.6754557291666667, + "learning_rate": 8.494573814881426e-05, + "loss": 7.1619, + "loss/crossentropy": 1.5308670401573181, + "loss/hidden": 3.81640625, + "loss/jsd": 0.0, + "loss/logits": 0.20634648203849792, + "step": 1523 + }, + { + "epoch": 0.254, + "grad_norm": 44.75, + "grad_norm_var": 16.811458333333334, + "learning_rate": 8.49270093369628e-05, + "loss": 7.2042, + "loss/crossentropy": 2.2177110612392426, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.2473539151251316, + "step": 1524 + }, + { + "epoch": 0.25416666666666665, + "grad_norm": 33.5, + "grad_norm_var": 17.527018229166668, + "learning_rate": 8.490827094967363e-05, + "loss": 7.0835, + "loss/crossentropy": 1.5321835726499557, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.17551949247717857, + "step": 1525 + }, + { + "epoch": 0.25433333333333336, + "grad_norm": 28.0, + "grad_norm_var": 17.764322916666668, + "learning_rate": 8.488952299208401e-05, + "loss": 7.1661, + "loss/crossentropy": 1.5419676154851913, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.1426115594804287, + "step": 1526 + }, + { + "epoch": 0.2545, + "grad_norm": 29.25, + "grad_norm_var": 17.346875, + "learning_rate": 8.487076546933378e-05, + "loss": 7.1436, + "loss/crossentropy": 1.57235686480999, + "loss/hidden": 3.265625, + "loss/jsd": 0.0, + "loss/logits": 0.18731963261961937, + "step": 1527 + }, + { + "epoch": 0.25466666666666665, + "grad_norm": 28.0, + "grad_norm_var": 17.624739583333334, + "learning_rate": 8.485199838656543e-05, + "loss": 7.1221, + "loss/crossentropy": 1.94024258852005, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.19081877917051315, + "step": 1528 + }, + { + "epoch": 0.25483333333333336, + "grad_norm": 26.875, + "grad_norm_var": 18.245247395833335, + "learning_rate": 8.483322174892404e-05, + "loss": 6.9484, + "loss/crossentropy": 1.678273856639862, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.18141436949372292, + "step": 1529 + }, + { + "epoch": 0.255, + "grad_norm": 27.625, + "grad_norm_var": 18.245247395833335, + "learning_rate": 8.481443556155735e-05, + "loss": 7.096, + "loss/crossentropy": 1.771409660577774, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.14950870350003242, + "step": 1530 + }, + { + "epoch": 0.25516666666666665, + "grad_norm": 32.0, + "grad_norm_var": 18.151822916666667, + "learning_rate": 8.479563982961571e-05, + "loss": 7.8379, + "loss/crossentropy": 1.5515018999576569, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.1533292606472969, + "step": 1531 + }, + { + "epoch": 0.25533333333333336, + "grad_norm": 30.5, + "grad_norm_var": 17.572916666666668, + "learning_rate": 8.477683455825207e-05, + "loss": 7.1362, + "loss/crossentropy": 2.018773838877678, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.18661978095769882, + "step": 1532 + }, + { + "epoch": 0.2555, + "grad_norm": 29.625, + "grad_norm_var": 17.509375, + "learning_rate": 8.4758019752622e-05, + "loss": 7.117, + "loss/crossentropy": 1.2113154977560043, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.13429363630712032, + "step": 1533 + }, + { + "epoch": 0.25566666666666665, + "grad_norm": 31.5, + "grad_norm_var": 17.262239583333333, + "learning_rate": 8.473919541788366e-05, + "loss": 7.4119, + "loss/crossentropy": 1.7601763010025024, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.16794865019619465, + "step": 1534 + }, + { + "epoch": 0.25583333333333336, + "grad_norm": 43.0, + "grad_norm_var": 26.768489583333334, + "learning_rate": 8.472036155919791e-05, + "loss": 7.3537, + "loss/crossentropy": 1.8414527773857117, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.23525508493185043, + "step": 1535 + }, + { + "epoch": 0.256, + "grad_norm": 30.75, + "grad_norm_var": 26.582747395833334, + "learning_rate": 8.470151818172809e-05, + "loss": 7.0589, + "loss/crossentropy": 1.472220093011856, + "loss/hidden": 3.6796875, + "loss/jsd": 0.0, + "loss/logits": 0.19062213227152824, + "step": 1536 + }, + { + "epoch": 0.25616666666666665, + "grad_norm": 30.25, + "grad_norm_var": 26.030989583333334, + "learning_rate": 8.468266529064025e-05, + "loss": 6.4525, + "loss/crossentropy": 0.974083200097084, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.13269340246915817, + "step": 1537 + }, + { + "epoch": 0.25633333333333336, + "grad_norm": 29.5, + "grad_norm_var": 26.176497395833334, + "learning_rate": 8.466380289110303e-05, + "loss": 7.0886, + "loss/crossentropy": 1.259334146976471, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.14339469373226166, + "step": 1538 + }, + { + "epoch": 0.2565, + "grad_norm": 29.125, + "grad_norm_var": 26.287239583333335, + "learning_rate": 8.464493098828763e-05, + "loss": 7.2628, + "loss/crossentropy": 1.6031538248062134, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.1961599849164486, + "step": 1539 + }, + { + "epoch": 0.25666666666666665, + "grad_norm": 27.25, + "grad_norm_var": 14.54765625, + "learning_rate": 8.462604958736793e-05, + "loss": 6.8737, + "loss/crossentropy": 1.3939393907785416, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.15689893811941147, + "step": 1540 + }, + { + "epoch": 0.25683333333333336, + "grad_norm": 27.375, + "grad_norm_var": 14.378580729166666, + "learning_rate": 8.460715869352035e-05, + "loss": 6.9708, + "loss/crossentropy": 1.4536120295524597, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.13832676224410534, + "step": 1541 + }, + { + "epoch": 0.257, + "grad_norm": 29.125, + "grad_norm_var": 14.151822916666667, + "learning_rate": 8.458825831192392e-05, + "loss": 7.3376, + "loss/crossentropy": 1.9465630948543549, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1429009847342968, + "step": 1542 + }, + { + "epoch": 0.25716666666666665, + "grad_norm": 30.25, + "grad_norm_var": 14.099739583333333, + "learning_rate": 8.456934844776032e-05, + "loss": 7.2746, + "loss/crossentropy": 1.4517296254634857, + "loss/hidden": 3.25390625, + "loss/jsd": 0.0, + "loss/logits": 0.14977369271218777, + "step": 1543 + }, + { + "epoch": 0.25733333333333336, + "grad_norm": 26.625, + "grad_norm_var": 14.616080729166667, + "learning_rate": 8.455042910621379e-05, + "loss": 6.8794, + "loss/crossentropy": 1.5584948658943176, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.16389862447977066, + "step": 1544 + }, + { + "epoch": 0.2575, + "grad_norm": 27.625, + "grad_norm_var": 14.330143229166667, + "learning_rate": 8.453150029247114e-05, + "loss": 7.0129, + "loss/crossentropy": 1.470071092247963, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.15290442667901516, + "step": 1545 + }, + { + "epoch": 0.25766666666666665, + "grad_norm": 30.625, + "grad_norm_var": 13.889518229166667, + "learning_rate": 8.451256201172186e-05, + "loss": 6.7035, + "loss/crossentropy": 1.3290538638830185, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.12361126020550728, + "step": 1546 + }, + { + "epoch": 0.25783333333333336, + "grad_norm": 28.25, + "grad_norm_var": 13.928580729166667, + "learning_rate": 8.449361426915797e-05, + "loss": 7.0498, + "loss/crossentropy": 1.8176316320896149, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1719118431210518, + "step": 1547 + }, + { + "epoch": 0.258, + "grad_norm": 39.25, + "grad_norm_var": 19.196809895833333, + "learning_rate": 8.447465706997408e-05, + "loss": 7.2554, + "loss/crossentropy": 2.1948321759700775, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.17607615143060684, + "step": 1548 + }, + { + "epoch": 0.25816666666666666, + "grad_norm": 27.75, + "grad_norm_var": 19.668489583333333, + "learning_rate": 8.445569041936743e-05, + "loss": 6.9313, + "loss/crossentropy": 1.476136177778244, + "loss/hidden": 3.8515625, + "loss/jsd": 0.0, + "loss/logits": 0.1581102553755045, + "step": 1549 + }, + { + "epoch": 0.25833333333333336, + "grad_norm": 29.75, + "grad_norm_var": 19.630208333333332, + "learning_rate": 8.443671432253784e-05, + "loss": 7.3193, + "loss/crossentropy": 1.8609939515590668, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.17737817764282227, + "step": 1550 + }, + { + "epoch": 0.2585, + "grad_norm": 28.0, + "grad_norm_var": 8.505208333333334, + "learning_rate": 8.44177287846877e-05, + "loss": 6.6163, + "loss/crossentropy": 1.6206251382827759, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.13844903372228146, + "step": 1551 + }, + { + "epoch": 0.25866666666666666, + "grad_norm": 27.125, + "grad_norm_var": 8.7072265625, + "learning_rate": 8.439873381102203e-05, + "loss": 6.9954, + "loss/crossentropy": 2.0754114985466003, + "loss/hidden": 3.1171875, + "loss/jsd": 0.0, + "loss/logits": 0.15478336066007614, + "step": 1552 + }, + { + "epoch": 0.25883333333333336, + "grad_norm": 27.5, + "grad_norm_var": 8.8103515625, + "learning_rate": 8.437972940674838e-05, + "loss": 7.3634, + "loss/crossentropy": 1.820733219385147, + "loss/hidden": 3.80859375, + "loss/jsd": 0.0, + "loss/logits": 0.2608935683965683, + "step": 1553 + }, + { + "epoch": 0.259, + "grad_norm": 28.5, + "grad_norm_var": 8.815559895833333, + "learning_rate": 8.436071557707692e-05, + "loss": 7.2288, + "loss/crossentropy": 1.9718312621116638, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.19307303428649902, + "step": 1554 + }, + { + "epoch": 0.25916666666666666, + "grad_norm": 27.875, + "grad_norm_var": 8.893684895833333, + "learning_rate": 8.434169232722043e-05, + "loss": 6.8213, + "loss/crossentropy": 1.463202804327011, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.17362061887979507, + "step": 1555 + }, + { + "epoch": 0.25933333333333336, + "grad_norm": 40.5, + "grad_norm_var": 16.898893229166667, + "learning_rate": 8.432265966239419e-05, + "loss": 7.0426, + "loss/crossentropy": 1.4735060930252075, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.16704573668539524, + "step": 1556 + }, + { + "epoch": 0.2595, + "grad_norm": 28.5, + "grad_norm_var": 16.620572916666667, + "learning_rate": 8.430361758781616e-05, + "loss": 7.0873, + "loss/crossentropy": 1.4179468750953674, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.14967207983136177, + "step": 1557 + }, + { + "epoch": 0.25966666666666666, + "grad_norm": 29.875, + "grad_norm_var": 16.585416666666667, + "learning_rate": 8.42845661087068e-05, + "loss": 7.1166, + "loss/crossentropy": 1.5888977199792862, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.23130910098552704, + "step": 1558 + }, + { + "epoch": 0.25983333333333336, + "grad_norm": 28.375, + "grad_norm_var": 16.711393229166667, + "learning_rate": 8.42655052302892e-05, + "loss": 6.9142, + "loss/crossentropy": 1.545868456363678, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.1576635129749775, + "step": 1559 + }, + { + "epoch": 0.26, + "grad_norm": 27.625, + "grad_norm_var": 16.356184895833334, + "learning_rate": 8.424643495778902e-05, + "loss": 7.203, + "loss/crossentropy": 2.0548255443573, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.19096845015883446, + "step": 1560 + }, + { + "epoch": 0.26016666666666666, + "grad_norm": 29.625, + "grad_norm_var": 16.020768229166666, + "learning_rate": 8.422735529643444e-05, + "loss": 6.9342, + "loss/crossentropy": 1.4977477341890335, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.1994573064148426, + "step": 1561 + }, + { + "epoch": 0.26033333333333336, + "grad_norm": 27.875, + "grad_norm_var": 16.244205729166666, + "learning_rate": 8.42082662514563e-05, + "loss": 7.1278, + "loss/crossentropy": 1.5780085325241089, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.15711280703544617, + "step": 1562 + }, + { + "epoch": 0.2605, + "grad_norm": 30.875, + "grad_norm_var": 16.141666666666666, + "learning_rate": 8.418916782808795e-05, + "loss": 7.1971, + "loss/crossentropy": 1.6861535906791687, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.14266281202435493, + "step": 1563 + }, + { + "epoch": 0.26066666666666666, + "grad_norm": 29.625, + "grad_norm_var": 9.9806640625, + "learning_rate": 8.417006003156532e-05, + "loss": 6.7606, + "loss/crossentropy": 1.9404644668102264, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.17871755361557007, + "step": 1564 + }, + { + "epoch": 0.2608333333333333, + "grad_norm": 37.75, + "grad_norm_var": 14.116080729166667, + "learning_rate": 8.415094286712694e-05, + "loss": 7.1155, + "loss/crossentropy": 1.7015289962291718, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.20424244925379753, + "step": 1565 + }, + { + "epoch": 0.261, + "grad_norm": 31.125, + "grad_norm_var": 14.195572916666666, + "learning_rate": 8.413181634001391e-05, + "loss": 7.2127, + "loss/crossentropy": 2.0783791840076447, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.25549715384840965, + "step": 1566 + }, + { + "epoch": 0.26116666666666666, + "grad_norm": 28.5, + "grad_norm_var": 14.074739583333333, + "learning_rate": 8.411268045546983e-05, + "loss": 7.4015, + "loss/crossentropy": 1.431897595524788, + "loss/hidden": 3.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.22732597962021828, + "step": 1567 + }, + { + "epoch": 0.2613333333333333, + "grad_norm": 26.5, + "grad_norm_var": 14.345247395833333, + "learning_rate": 8.409353521874093e-05, + "loss": 7.0976, + "loss/crossentropy": 1.878661870956421, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1574998889118433, + "step": 1568 + }, + { + "epoch": 0.2615, + "grad_norm": 28.0, + "grad_norm_var": 14.1916015625, + "learning_rate": 8.4074380635076e-05, + "loss": 7.0022, + "loss/crossentropy": 1.534603327512741, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.17322967574000359, + "step": 1569 + }, + { + "epoch": 0.26166666666666666, + "grad_norm": 26.875, + "grad_norm_var": 14.696875, + "learning_rate": 8.405521670972634e-05, + "loss": 6.8425, + "loss/crossentropy": 1.6109719723463058, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.16750073432922363, + "step": 1570 + }, + { + "epoch": 0.2618333333333333, + "grad_norm": 26.25, + "grad_norm_var": 15.315559895833333, + "learning_rate": 8.40360434479459e-05, + "loss": 7.1104, + "loss/crossentropy": 1.5548063814640045, + "loss/hidden": 3.90625, + "loss/jsd": 0.0, + "loss/logits": 0.23038798198103905, + "step": 1571 + }, + { + "epoch": 0.262, + "grad_norm": 26.75, + "grad_norm_var": 7.6384765625, + "learning_rate": 8.40168608549911e-05, + "loss": 6.9809, + "loss/crossentropy": 1.2600118517875671, + "loss/hidden": 3.88671875, + "loss/jsd": 0.0, + "loss/logits": 0.18548330664634705, + "step": 1572 + }, + { + "epoch": 0.26216666666666666, + "grad_norm": 35.5, + "grad_norm_var": 10.227018229166667, + "learning_rate": 8.399766893612096e-05, + "loss": 7.0494, + "loss/crossentropy": 1.1565890908241272, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.13933814130723476, + "step": 1573 + }, + { + "epoch": 0.2623333333333333, + "grad_norm": 29.375, + "grad_norm_var": 10.213997395833333, + "learning_rate": 8.397846769659707e-05, + "loss": 6.8379, + "loss/crossentropy": 1.641678899526596, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.15472246706485748, + "step": 1574 + }, + { + "epoch": 0.2625, + "grad_norm": 30.25, + "grad_norm_var": 10.173958333333333, + "learning_rate": 8.395925714168356e-05, + "loss": 6.9379, + "loss/crossentropy": 1.7203895598649979, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.20822539553046227, + "step": 1575 + }, + { + "epoch": 0.26266666666666666, + "grad_norm": 2969567232.0, + "grad_norm_var": 5.511455855764571e+17, + "learning_rate": 8.39400372766471e-05, + "loss": 7.0619, + "loss/crossentropy": 1.9653513431549072, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.15789402648806572, + "step": 1576 + }, + { + "epoch": 0.2628333333333333, + "grad_norm": 30.625, + "grad_norm_var": 5.5114558555171066e+17, + "learning_rate": 8.392080810675691e-05, + "loss": 7.0243, + "loss/crossentropy": 1.8614015877246857, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.15636020712554455, + "step": 1577 + }, + { + "epoch": 0.263, + "grad_norm": 29.625, + "grad_norm_var": 5.511455855084045e+17, + "learning_rate": 8.390156963728482e-05, + "loss": 7.1314, + "loss/crossentropy": 1.4498876333236694, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.15764983743429184, + "step": 1578 + }, + { + "epoch": 0.26316666666666666, + "grad_norm": 26.75, + "grad_norm_var": 5.511455856104834e+17, + "learning_rate": 8.388232187350512e-05, + "loss": 6.9675, + "loss/crossentropy": 1.3486933410167694, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.15304425545036793, + "step": 1579 + }, + { + "epoch": 0.2633333333333333, + "grad_norm": 27.875, + "grad_norm_var": 5.511455856537896e+17, + "learning_rate": 8.386306482069473e-05, + "loss": 6.6682, + "loss/crossentropy": 1.859202891588211, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.17555386573076248, + "step": 1580 + }, + { + "epoch": 0.2635, + "grad_norm": 27.625, + "grad_norm_var": 5.5114558590434675e+17, + "learning_rate": 8.384379848413304e-05, + "loss": 6.9377, + "loss/crossentropy": 1.013603761792183, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.13042955473065376, + "step": 1581 + }, + { + "epoch": 0.26366666666666666, + "grad_norm": 40.5, + "grad_norm_var": 5.511455856723494e+17, + "learning_rate": 8.382452286910206e-05, + "loss": 7.3273, + "loss/crossentropy": 1.5050248205661774, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.15211456269025803, + "step": 1582 + }, + { + "epoch": 0.2638333333333333, + "grad_norm": 30.375, + "grad_norm_var": 5.511455856259499e+17, + "learning_rate": 8.380523798088631e-05, + "loss": 7.5001, + "loss/crossentropy": 1.8162740468978882, + "loss/hidden": 4.0, + "loss/jsd": 0.0, + "loss/logits": 0.29241993837058544, + "step": 1583 + }, + { + "epoch": 0.264, + "grad_norm": 29.0, + "grad_norm_var": 5.511455855640839e+17, + "learning_rate": 8.378594382477282e-05, + "loss": 7.0835, + "loss/crossentropy": 1.2985506057739258, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.23931736685335636, + "step": 1584 + }, + { + "epoch": 0.26416666666666666, + "grad_norm": 26.375, + "grad_norm_var": 5.5114558560429677e+17, + "learning_rate": 8.376664040605122e-05, + "loss": 7.0656, + "loss/crossentropy": 1.7525395154953003, + "loss/hidden": 3.16015625, + "loss/jsd": 0.0, + "loss/logits": 0.15040944889187813, + "step": 1585 + }, + { + "epoch": 0.2643333333333333, + "grad_norm": 29.125, + "grad_norm_var": 5.511455855486174e+17, + "learning_rate": 8.374732773001366e-05, + "loss": 7.8002, + "loss/crossentropy": 2.012197196483612, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.18983308225870132, + "step": 1586 + }, + { + "epoch": 0.2645, + "grad_norm": 30.75, + "grad_norm_var": 5.511455854372586e+17, + "learning_rate": 8.372800580195479e-05, + "loss": 6.6716, + "loss/crossentropy": 1.6122665256261826, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.18357956409454346, + "step": 1587 + }, + { + "epoch": 0.26466666666666666, + "grad_norm": 31.0, + "grad_norm_var": 5.5114558533208646e+17, + "learning_rate": 8.370867462717183e-05, + "loss": 7.0967, + "loss/crossentropy": 1.8041424453258514, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.21673135831952095, + "step": 1588 + }, + { + "epoch": 0.2648333333333333, + "grad_norm": 29.125, + "grad_norm_var": 5.511455854898447e+17, + "learning_rate": 8.368933421096454e-05, + "loss": 7.2579, + "loss/crossentropy": 1.7340957969427109, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.20513366535305977, + "step": 1589 + }, + { + "epoch": 0.265, + "grad_norm": 30.5, + "grad_norm_var": 5.51145585462005e+17, + "learning_rate": 8.366998455863522e-05, + "loss": 7.4061, + "loss/crossentropy": 2.109828770160675, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.1922304593026638, + "step": 1590 + }, + { + "epoch": 0.26516666666666666, + "grad_norm": 37.5, + "grad_norm_var": 5.5114558528259366e+17, + "learning_rate": 8.365062567548867e-05, + "loss": 7.3231, + "loss/crossentropy": 0.8247495591640472, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.14741606824100018, + "step": 1591 + }, + { + "epoch": 0.2653333333333333, + "grad_norm": 33.0, + "grad_norm_var": 13.895572916666667, + "learning_rate": 8.363125756683223e-05, + "loss": 7.1474, + "loss/crossentropy": 1.5677947998046875, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.22204036638140678, + "step": 1592 + }, + { + "epoch": 0.2655, + "grad_norm": 29.5, + "grad_norm_var": 13.972330729166666, + "learning_rate": 8.361188023797582e-05, + "loss": 7.1309, + "loss/crossentropy": 2.2050703167915344, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.20694582164287567, + "step": 1593 + }, + { + "epoch": 0.26566666666666666, + "grad_norm": 28.0, + "grad_norm_var": 14.335416666666667, + "learning_rate": 8.359249369423177e-05, + "loss": 6.9907, + "loss/crossentropy": 1.7909895777702332, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1994033232331276, + "step": 1594 + }, + { + "epoch": 0.2658333333333333, + "grad_norm": 32.25, + "grad_norm_var": 13.521875, + "learning_rate": 8.357309794091507e-05, + "loss": 7.0712, + "loss/crossentropy": 1.9561614692211151, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.18634473904967308, + "step": 1595 + }, + { + "epoch": 0.266, + "grad_norm": 26.75, + "grad_norm_var": 14.0369140625, + "learning_rate": 8.355369298334316e-05, + "loss": 6.6654, + "loss/crossentropy": 1.5238149724900723, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.13797534350305796, + "step": 1596 + }, + { + "epoch": 0.26616666666666666, + "grad_norm": 27.25, + "grad_norm_var": 14.2, + "learning_rate": 8.3534278826836e-05, + "loss": 7.0763, + "loss/crossentropy": 1.6212818920612335, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.22221536561846733, + "step": 1597 + }, + { + "epoch": 0.2663333333333333, + "grad_norm": 28.0, + "grad_norm_var": 7.611458333333333, + "learning_rate": 8.351485547671613e-05, + "loss": 6.9769, + "loss/crossentropy": 1.9699319750070572, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.22051548957824707, + "step": 1598 + }, + { + "epoch": 0.2665, + "grad_norm": 32.75, + "grad_norm_var": 8.112434895833333, + "learning_rate": 8.349542293830855e-05, + "loss": 6.9139, + "loss/crossentropy": 1.276191920042038, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.18996757827699184, + "step": 1599 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 29.125, + "grad_norm_var": 8.095833333333333, + "learning_rate": 8.347598121694078e-05, + "loss": 7.0277, + "loss/crossentropy": 1.8602609634399414, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.1690271534025669, + "step": 1600 + }, + { + "epoch": 0.2668333333333333, + "grad_norm": 28.875, + "grad_norm_var": 7.257291666666666, + "learning_rate": 8.345653031794292e-05, + "loss": 7.2089, + "loss/crossentropy": 1.927530288696289, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.19715483859181404, + "step": 1601 + }, + { + "epoch": 0.267, + "grad_norm": 28.625, + "grad_norm_var": 7.345833333333333, + "learning_rate": 8.343707024664751e-05, + "loss": 7.0145, + "loss/crossentropy": 1.5379869937896729, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.1418660581111908, + "step": 1602 + }, + { + "epoch": 0.26716666666666666, + "grad_norm": 26.75, + "grad_norm_var": 8.045833333333333, + "learning_rate": 8.341760100838965e-05, + "loss": 7.2618, + "loss/crossentropy": 1.7103917300701141, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.23981189355254173, + "step": 1603 + }, + { + "epoch": 0.2673333333333333, + "grad_norm": 29.625, + "grad_norm_var": 7.969205729166666, + "learning_rate": 8.339812260850696e-05, + "loss": 6.997, + "loss/crossentropy": 2.4385569095611572, + "loss/hidden": 3.2421875, + "loss/jsd": 0.0, + "loss/logits": 0.1898985467851162, + "step": 1604 + }, + { + "epoch": 0.2675, + "grad_norm": 27.125, + "grad_norm_var": 8.412955729166667, + "learning_rate": 8.337863505233953e-05, + "loss": 6.4637, + "loss/crossentropy": 2.0337356328964233, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18543323129415512, + "step": 1605 + }, + { + "epoch": 0.26766666666666666, + "grad_norm": 34.25, + "grad_norm_var": 9.678580729166667, + "learning_rate": 8.335913834522999e-05, + "loss": 7.2893, + "loss/crossentropy": 1.8543764650821686, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.17504257522523403, + "step": 1606 + }, + { + "epoch": 0.2678333333333333, + "grad_norm": 30.0, + "grad_norm_var": 5.655143229166667, + "learning_rate": 8.333963249252348e-05, + "loss": 7.0358, + "loss/crossentropy": 1.6898139864206314, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.1446678638458252, + "step": 1607 + }, + { + "epoch": 0.268, + "grad_norm": 27.75, + "grad_norm_var": 4.922330729166666, + "learning_rate": 8.332011749956763e-05, + "loss": 6.9523, + "loss/crossentropy": 1.9716004431247711, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.17932548001408577, + "step": 1608 + }, + { + "epoch": 0.26816666666666666, + "grad_norm": 29.375, + "grad_norm_var": 4.917708333333334, + "learning_rate": 8.330059337171258e-05, + "loss": 6.7706, + "loss/crossentropy": 1.751436173915863, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.14808068424463272, + "step": 1609 + }, + { + "epoch": 0.2683333333333333, + "grad_norm": 31.875, + "grad_norm_var": 5.2587890625, + "learning_rate": 8.328106011431101e-05, + "loss": 7.6746, + "loss/crossentropy": 2.046698808670044, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.17839471623301506, + "step": 1610 + }, + { + "epoch": 0.2685, + "grad_norm": 27.5, + "grad_norm_var": 4.862955729166667, + "learning_rate": 8.326151773271804e-05, + "loss": 7.1291, + "loss/crossentropy": 1.4974311590194702, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.24513380974531174, + "step": 1611 + }, + { + "epoch": 0.26866666666666666, + "grad_norm": 29.625, + "grad_norm_var": 4.478125, + "learning_rate": 8.324196623229135e-05, + "loss": 6.7984, + "loss/crossentropy": 2.1385327875614166, + "loss/hidden": 3.08984375, + "loss/jsd": 0.0, + "loss/logits": 0.14981893822550774, + "step": 1612 + }, + { + "epoch": 0.2688333333333333, + "grad_norm": 28.25, + "grad_norm_var": 4.269791666666666, + "learning_rate": 8.322240561839109e-05, + "loss": 7.1111, + "loss/crossentropy": 1.9146039187908173, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.14177163504064083, + "step": 1613 + }, + { + "epoch": 0.269, + "grad_norm": 30.875, + "grad_norm_var": 4.2712890625, + "learning_rate": 8.32028358963799e-05, + "loss": 6.7759, + "loss/crossentropy": 1.4329868853092194, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.20702739618718624, + "step": 1614 + }, + { + "epoch": 0.26916666666666667, + "grad_norm": 35.75, + "grad_norm_var": 6.1244140625, + "learning_rate": 8.318325707162293e-05, + "loss": 7.0046, + "loss/crossentropy": 1.8867762684822083, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.18985198065638542, + "step": 1615 + }, + { + "epoch": 0.2693333333333333, + "grad_norm": 28.875, + "grad_norm_var": 6.1478515625, + "learning_rate": 8.316366914948783e-05, + "loss": 6.7755, + "loss/crossentropy": 1.858707919716835, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.19729428738355637, + "step": 1616 + }, + { + "epoch": 0.2695, + "grad_norm": 28.75, + "grad_norm_var": 6.1625, + "learning_rate": 8.314407213534476e-05, + "loss": 6.9882, + "loss/crossentropy": 1.5668911039829254, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.18824711814522743, + "step": 1617 + }, + { + "epoch": 0.26966666666666667, + "grad_norm": 27.875, + "grad_norm_var": 6.30390625, + "learning_rate": 8.312446603456632e-05, + "loss": 7.1649, + "loss/crossentropy": 1.7864155173301697, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.19499209336936474, + "step": 1618 + }, + { + "epoch": 0.2698333333333333, + "grad_norm": 28.625, + "grad_norm_var": 5.8009765625, + "learning_rate": 8.310485085252767e-05, + "loss": 6.999, + "loss/crossentropy": 1.765356421470642, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.16575749590992928, + "step": 1619 + }, + { + "epoch": 0.27, + "grad_norm": 29.125, + "grad_norm_var": 5.825455729166666, + "learning_rate": 8.308522659460641e-05, + "loss": 7.1248, + "loss/crossentropy": 1.698109045624733, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.16750097274780273, + "step": 1620 + }, + { + "epoch": 0.27016666666666667, + "grad_norm": 27.5, + "grad_norm_var": 5.704166666666667, + "learning_rate": 8.306559326618259e-05, + "loss": 6.8828, + "loss/crossentropy": 1.8713548481464386, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.19754157587885857, + "step": 1621 + }, + { + "epoch": 0.2703333333333333, + "grad_norm": 29.0, + "grad_norm_var": 4.276822916666666, + "learning_rate": 8.304595087263889e-05, + "loss": 6.8131, + "loss/crossentropy": 1.7399481683969498, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.19789675623178482, + "step": 1622 + }, + { + "epoch": 0.2705, + "grad_norm": 29.75, + "grad_norm_var": 4.261458333333334, + "learning_rate": 8.30262994193603e-05, + "loss": 6.9586, + "loss/crossentropy": 1.316022828221321, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.14393935725092888, + "step": 1623 + }, + { + "epoch": 0.27066666666666667, + "grad_norm": 34.75, + "grad_norm_var": 5.778125, + "learning_rate": 8.300663891173443e-05, + "loss": 7.0578, + "loss/crossentropy": 1.5755325853824615, + "loss/hidden": 3.765625, + "loss/jsd": 0.0, + "loss/logits": 0.24174069985747337, + "step": 1624 + }, + { + "epoch": 0.2708333333333333, + "grad_norm": 33.5, + "grad_norm_var": 6.5837890625, + "learning_rate": 8.298696935515132e-05, + "loss": 7.7362, + "loss/crossentropy": 2.2487829625606537, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.18154580518603325, + "step": 1625 + }, + { + "epoch": 0.271, + "grad_norm": 30.25, + "grad_norm_var": 6.364583333333333, + "learning_rate": 8.296729075500344e-05, + "loss": 6.9045, + "loss/crossentropy": 1.4855230748653412, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.276097908616066, + "step": 1626 + }, + { + "epoch": 0.27116666666666667, + "grad_norm": 30.625, + "grad_norm_var": 5.933268229166667, + "learning_rate": 8.294760311668586e-05, + "loss": 7.6882, + "loss/crossentropy": 1.9179571866989136, + "loss/hidden": 3.48046875, + "loss/jsd": 0.0, + "loss/logits": 0.2302505485713482, + "step": 1627 + }, + { + "epoch": 0.2713333333333333, + "grad_norm": 26.625, + "grad_norm_var": 6.723893229166666, + "learning_rate": 8.2927906445596e-05, + "loss": 6.6591, + "loss/crossentropy": 1.8981229066848755, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.15968799963593483, + "step": 1628 + }, + { + "epoch": 0.2715, + "grad_norm": 27.375, + "grad_norm_var": 6.976822916666666, + "learning_rate": 8.290820074713384e-05, + "loss": 7.2994, + "loss/crossentropy": 1.774809718132019, + "loss/hidden": 3.89453125, + "loss/jsd": 0.0, + "loss/logits": 0.30011754482984543, + "step": 1629 + }, + { + "epoch": 0.27166666666666667, + "grad_norm": 29.375, + "grad_norm_var": 6.933072916666666, + "learning_rate": 8.28884860267018e-05, + "loss": 6.9311, + "loss/crossentropy": 1.9921766817569733, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.21032875776290894, + "step": 1630 + }, + { + "epoch": 0.2718333333333333, + "grad_norm": 31.5, + "grad_norm_var": 4.723958333333333, + "learning_rate": 8.28687622897048e-05, + "loss": 6.7365, + "loss/crossentropy": 1.830979347229004, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.21521583199501038, + "step": 1631 + }, + { + "epoch": 0.272, + "grad_norm": 28.25, + "grad_norm_var": 4.808268229166667, + "learning_rate": 8.284902954155019e-05, + "loss": 7.0567, + "loss/crossentropy": 1.6267684698104858, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.19743401557207108, + "step": 1632 + }, + { + "epoch": 0.27216666666666667, + "grad_norm": 27.875, + "grad_norm_var": 4.95, + "learning_rate": 8.282928778764783e-05, + "loss": 6.5505, + "loss/crossentropy": 1.54688461124897, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.19320432841777802, + "step": 1633 + }, + { + "epoch": 0.2723333333333333, + "grad_norm": 25.75, + "grad_norm_var": 5.692643229166666, + "learning_rate": 8.280953703341004e-05, + "loss": 7.2325, + "loss/crossentropy": 1.7405301481485367, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.1903975997120142, + "step": 1634 + }, + { + "epoch": 0.2725, + "grad_norm": 31.25, + "grad_norm_var": 5.863541666666666, + "learning_rate": 8.278977728425157e-05, + "loss": 6.9873, + "loss/crossentropy": 1.3869994282722473, + "loss/hidden": 3.6953125, + "loss/jsd": 0.0, + "loss/logits": 0.1749619785696268, + "step": 1635 + }, + { + "epoch": 0.27266666666666667, + "grad_norm": 29.25, + "grad_norm_var": 5.857747395833333, + "learning_rate": 8.27700085455897e-05, + "loss": 6.651, + "loss/crossentropy": 1.5207037031650543, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.21287047490477562, + "step": 1636 + }, + { + "epoch": 0.2728333333333333, + "grad_norm": 26.625, + "grad_norm_var": 6.143489583333333, + "learning_rate": 8.275023082284413e-05, + "loss": 7.072, + "loss/crossentropy": 1.956925630569458, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.19619474932551384, + "step": 1637 + }, + { + "epoch": 0.273, + "grad_norm": 27.875, + "grad_norm_var": 6.295247395833333, + "learning_rate": 8.273044412143704e-05, + "loss": 6.8739, + "loss/crossentropy": 1.2441673576831818, + "loss/hidden": 3.8515625, + "loss/jsd": 0.0, + "loss/logits": 0.14691221714019775, + "step": 1638 + }, + { + "epoch": 0.27316666666666667, + "grad_norm": 33.25, + "grad_norm_var": 7.217643229166667, + "learning_rate": 8.271064844679306e-05, + "loss": 6.7274, + "loss/crossentropy": 2.5751023292541504, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.19316158071160316, + "step": 1639 + }, + { + "epoch": 0.2733333333333333, + "grad_norm": 30.375, + "grad_norm_var": 5.42890625, + "learning_rate": 8.269084380433929e-05, + "loss": 6.7466, + "loss/crossentropy": 1.7475664019584656, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.21757815405726433, + "step": 1640 + }, + { + "epoch": 0.2735, + "grad_norm": 29.875, + "grad_norm_var": 4.248893229166667, + "learning_rate": 8.267103019950529e-05, + "loss": 7.1966, + "loss/crossentropy": 2.1399194598197937, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.212381724268198, + "step": 1641 + }, + { + "epoch": 0.27366666666666667, + "grad_norm": 29.25, + "grad_norm_var": 4.162434895833333, + "learning_rate": 8.265120763772303e-05, + "loss": 6.8291, + "loss/crossentropy": 2.0715277791023254, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.17723426967859268, + "step": 1642 + }, + { + "epoch": 0.2738333333333333, + "grad_norm": 27.875, + "grad_norm_var": 4.0650390625, + "learning_rate": 8.263137612442706e-05, + "loss": 7.0393, + "loss/crossentropy": 1.6310051381587982, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.15922663547098637, + "step": 1643 + }, + { + "epoch": 0.274, + "grad_norm": 27.75, + "grad_norm_var": 3.803125, + "learning_rate": 8.261153566505424e-05, + "loss": 7.3023, + "loss/crossentropy": 1.6214478015899658, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.23836766555905342, + "step": 1644 + }, + { + "epoch": 0.27416666666666667, + "grad_norm": 30.5, + "grad_norm_var": 3.7494140625, + "learning_rate": 8.259168626504395e-05, + "loss": 6.6836, + "loss/crossentropy": 1.8864246904850006, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.15652998350560665, + "step": 1645 + }, + { + "epoch": 0.2743333333333333, + "grad_norm": 28.0, + "grad_norm_var": 3.82890625, + "learning_rate": 8.257182792983802e-05, + "loss": 6.9393, + "loss/crossentropy": 1.140328787267208, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.14030886627733707, + "step": 1646 + }, + { + "epoch": 0.2745, + "grad_norm": 38.25, + "grad_norm_var": 8.85625, + "learning_rate": 8.255196066488075e-05, + "loss": 7.0095, + "loss/crossentropy": 1.549303650856018, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.17772993631660938, + "step": 1647 + }, + { + "epoch": 0.27466666666666667, + "grad_norm": 29.875, + "grad_norm_var": 8.750455729166667, + "learning_rate": 8.253208447561882e-05, + "loss": 7.2091, + "loss/crossentropy": 2.370518445968628, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.2150629200041294, + "step": 1648 + }, + { + "epoch": 0.2748333333333333, + "grad_norm": 27.625, + "grad_norm_var": 8.8119140625, + "learning_rate": 8.251219936750144e-05, + "loss": 6.8833, + "loss/crossentropy": 1.4538423269987106, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.14347987715154886, + "step": 1649 + }, + { + "epoch": 0.275, + "grad_norm": 27.875, + "grad_norm_var": 8.007291666666667, + "learning_rate": 8.249230534598021e-05, + "loss": 6.9361, + "loss/crossentropy": 1.7133109271526337, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.2329830899834633, + "step": 1650 + }, + { + "epoch": 0.27516666666666667, + "grad_norm": 29.75, + "grad_norm_var": 7.841666666666667, + "learning_rate": 8.247240241650918e-05, + "loss": 7.0463, + "loss/crossentropy": 1.3484934717416763, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.22996426187455654, + "step": 1651 + }, + { + "epoch": 0.2753333333333333, + "grad_norm": 26.5, + "grad_norm_var": 8.451822916666666, + "learning_rate": 8.245249058454487e-05, + "loss": 6.7415, + "loss/crossentropy": 1.9782699048519135, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17345220781862736, + "step": 1652 + }, + { + "epoch": 0.2755, + "grad_norm": 29.75, + "grad_norm_var": 7.8837890625, + "learning_rate": 8.243256985554621e-05, + "loss": 7.2286, + "loss/crossentropy": 1.7965165376663208, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.18303445540368557, + "step": 1653 + }, + { + "epoch": 0.27566666666666667, + "grad_norm": 33.5, + "grad_norm_var": 8.53125, + "learning_rate": 8.241264023497457e-05, + "loss": 7.0887, + "loss/crossentropy": 1.3913812637329102, + "loss/hidden": 3.8828125, + "loss/jsd": 0.0, + "loss/logits": 0.27453312277793884, + "step": 1654 + }, + { + "epoch": 0.2758333333333333, + "grad_norm": 29.375, + "grad_norm_var": 7.790559895833334, + "learning_rate": 8.239270172829379e-05, + "loss": 7.1735, + "loss/crossentropy": 1.8213527202606201, + "loss/hidden": 3.87109375, + "loss/jsd": 0.0, + "loss/logits": 0.2634476125240326, + "step": 1655 + }, + { + "epoch": 0.276, + "grad_norm": 28.125, + "grad_norm_var": 7.921809895833333, + "learning_rate": 8.237275434097012e-05, + "loss": 7.1436, + "loss/crossentropy": 1.782892495393753, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.20107223093509674, + "step": 1656 + }, + { + "epoch": 0.27616666666666667, + "grad_norm": 27.0, + "grad_norm_var": 8.339583333333334, + "learning_rate": 8.235279807847223e-05, + "loss": 7.039, + "loss/crossentropy": 1.8401851952075958, + "loss/hidden": 3.04296875, + "loss/jsd": 0.0, + "loss/logits": 0.1714758574962616, + "step": 1657 + }, + { + "epoch": 0.2763333333333333, + "grad_norm": 27.875, + "grad_norm_var": 8.492122395833333, + "learning_rate": 8.233283294627125e-05, + "loss": 7.1463, + "loss/crossentropy": 1.5835787653923035, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.13180573284626007, + "step": 1658 + }, + { + "epoch": 0.2765, + "grad_norm": 29.0, + "grad_norm_var": 8.349739583333333, + "learning_rate": 8.231285894984076e-05, + "loss": 7.1677, + "loss/crossentropy": 1.4388826042413712, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.2233562022447586, + "step": 1659 + }, + { + "epoch": 0.27666666666666667, + "grad_norm": 26.625, + "grad_norm_var": 8.679622395833333, + "learning_rate": 8.22928760946567e-05, + "loss": 6.6824, + "loss/crossentropy": 1.5648126006126404, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.130872605368495, + "step": 1660 + }, + { + "epoch": 0.2768333333333333, + "grad_norm": 32.75, + "grad_norm_var": 9.340559895833334, + "learning_rate": 8.227288438619754e-05, + "loss": 6.7709, + "loss/crossentropy": 1.7629970461130142, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.20937180891633034, + "step": 1661 + }, + { + "epoch": 0.277, + "grad_norm": 39.0, + "grad_norm_var": 14.714518229166666, + "learning_rate": 8.225288382994407e-05, + "loss": 6.6848, + "loss/crossentropy": 2.10350701212883, + "loss/hidden": 2.97265625, + "loss/jsd": 0.0, + "loss/logits": 0.1433289349079132, + "step": 1662 + }, + { + "epoch": 0.2771666666666667, + "grad_norm": 30.125, + "grad_norm_var": 10.09765625, + "learning_rate": 8.223287443137957e-05, + "loss": 7.2117, + "loss/crossentropy": 2.2686829268932343, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.1735362634062767, + "step": 1663 + }, + { + "epoch": 0.2773333333333333, + "grad_norm": 29.75, + "grad_norm_var": 10.095247395833333, + "learning_rate": 8.221285619598975e-05, + "loss": 7.2918, + "loss/crossentropy": 1.8061031699180603, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.23730029165744781, + "step": 1664 + }, + { + "epoch": 0.2775, + "grad_norm": 26.75, + "grad_norm_var": 10.380989583333333, + "learning_rate": 8.21928291292627e-05, + "loss": 6.6875, + "loss/crossentropy": 1.4453921169042587, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.1263937372714281, + "step": 1665 + }, + { + "epoch": 0.2776666666666667, + "grad_norm": 27.875, + "grad_norm_var": 10.380989583333333, + "learning_rate": 8.217279323668895e-05, + "loss": 6.92, + "loss/crossentropy": 1.6042270958423615, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.16979801282286644, + "step": 1666 + }, + { + "epoch": 0.2778333333333333, + "grad_norm": 26.875, + "grad_norm_var": 10.843684895833333, + "learning_rate": 8.215274852376147e-05, + "loss": 7.0608, + "loss/crossentropy": 1.7220258712768555, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.1650107428431511, + "step": 1667 + }, + { + "epoch": 0.278, + "grad_norm": 27.375, + "grad_norm_var": 10.549739583333333, + "learning_rate": 8.213269499597565e-05, + "loss": 7.1072, + "loss/crossentropy": 1.8538067936897278, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.23773017898201942, + "step": 1668 + }, + { + "epoch": 0.2781666666666667, + "grad_norm": 27.25, + "grad_norm_var": 10.851822916666666, + "learning_rate": 8.211263265882923e-05, + "loss": 6.6361, + "loss/crossentropy": 1.5824365466833115, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.17740889638662338, + "step": 1669 + }, + { + "epoch": 0.2783333333333333, + "grad_norm": 49.75, + "grad_norm_var": 36.39479166666667, + "learning_rate": 8.209256151782243e-05, + "loss": 7.1143, + "loss/crossentropy": 1.8776679635047913, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.18182456865906715, + "step": 1670 + }, + { + "epoch": 0.2785, + "grad_norm": 36.5, + "grad_norm_var": 38.64733072916667, + "learning_rate": 8.207248157845791e-05, + "loss": 6.8501, + "loss/crossentropy": 1.8925500214099884, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1794169433414936, + "step": 1671 + }, + { + "epoch": 0.2786666666666667, + "grad_norm": 30.75, + "grad_norm_var": 38.145572916666666, + "learning_rate": 8.205239284624062e-05, + "loss": 7.0071, + "loss/crossentropy": 1.4744906574487686, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.155276071280241, + "step": 1672 + }, + { + "epoch": 0.2788333333333333, + "grad_norm": 30.875, + "grad_norm_var": 37.0416015625, + "learning_rate": 8.203229532667807e-05, + "loss": 7.2046, + "loss/crossentropy": 1.9407618343830109, + "loss/hidden": 3.34765625, + "loss/jsd": 0.0, + "loss/logits": 0.1773352026939392, + "step": 1673 + }, + { + "epoch": 0.279, + "grad_norm": 30.5, + "grad_norm_var": 36.31015625, + "learning_rate": 8.201218902528009e-05, + "loss": 6.936, + "loss/crossentropy": 1.741473138332367, + "loss/hidden": 3.7890625, + "loss/jsd": 0.0, + "loss/logits": 0.22419481724500656, + "step": 1674 + }, + { + "epoch": 0.2791666666666667, + "grad_norm": 31.625, + "grad_norm_var": 35.9150390625, + "learning_rate": 8.199207394755893e-05, + "loss": 7.0361, + "loss/crossentropy": 1.8393172919750214, + "loss/hidden": 3.72265625, + "loss/jsd": 0.0, + "loss/logits": 0.2207166701555252, + "step": 1675 + }, + { + "epoch": 0.2793333333333333, + "grad_norm": 28.875, + "grad_norm_var": 34.7619140625, + "learning_rate": 8.197195009902924e-05, + "loss": 7.0547, + "loss/crossentropy": 2.02646142244339, + "loss/hidden": 3.3828125, + "loss/jsd": 0.0, + "loss/logits": 0.16825808957219124, + "step": 1676 + }, + { + "epoch": 0.2795, + "grad_norm": 26.125, + "grad_norm_var": 36.545833333333334, + "learning_rate": 8.195181748520811e-05, + "loss": 7.1419, + "loss/crossentropy": 1.6126716583967209, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.18254036456346512, + "step": 1677 + }, + { + "epoch": 0.2796666666666667, + "grad_norm": 27.625, + "grad_norm_var": 32.878580729166664, + "learning_rate": 8.193167611161499e-05, + "loss": 6.7845, + "loss/crossentropy": 1.7171251773834229, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.1587543785572052, + "step": 1678 + }, + { + "epoch": 0.2798333333333333, + "grad_norm": 27.25, + "grad_norm_var": 33.55390625, + "learning_rate": 8.191152598377178e-05, + "loss": 6.8725, + "loss/crossentropy": 1.5072792768478394, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.13671744614839554, + "step": 1679 + }, + { + "epoch": 0.28, + "grad_norm": 34.75, + "grad_norm_var": 34.71015625, + "learning_rate": 8.189136710720272e-05, + "loss": 7.3084, + "loss/crossentropy": 1.8664146661758423, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.1888437643647194, + "step": 1680 + }, + { + "epoch": 0.2801666666666667, + "grad_norm": 30.625, + "grad_norm_var": 33.62233072916667, + "learning_rate": 8.18711994874345e-05, + "loss": 7.3425, + "loss/crossentropy": 1.6438325941562653, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.17498685792088509, + "step": 1681 + }, + { + "epoch": 0.2803333333333333, + "grad_norm": 29.875, + "grad_norm_var": 33.0619140625, + "learning_rate": 8.185102312999617e-05, + "loss": 7.1414, + "loss/crossentropy": 1.7217102944850922, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.1634957641363144, + "step": 1682 + }, + { + "epoch": 0.2805, + "grad_norm": 28.625, + "grad_norm_var": 32.28170572916667, + "learning_rate": 8.183083804041921e-05, + "loss": 7.0944, + "loss/crossentropy": 1.051482379436493, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.1322503425180912, + "step": 1683 + }, + { + "epoch": 0.2806666666666667, + "grad_norm": 26.125, + "grad_norm_var": 33.00826822916667, + "learning_rate": 8.181064422423748e-05, + "loss": 6.837, + "loss/crossentropy": 1.4523184299468994, + "loss/hidden": 3.86328125, + "loss/jsd": 0.0, + "loss/logits": 0.17103984951972961, + "step": 1684 + }, + { + "epoch": 0.2808333333333333, + "grad_norm": 27.5, + "grad_norm_var": 32.884830729166666, + "learning_rate": 8.179044168698721e-05, + "loss": 6.7853, + "loss/crossentropy": 1.4608682692050934, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.15748637914657593, + "step": 1685 + }, + { + "epoch": 0.281, + "grad_norm": 31.5, + "grad_norm_var": 8.2853515625, + "learning_rate": 8.177023043420705e-05, + "loss": 7.1377, + "loss/crossentropy": 1.8704125732183456, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.23739512264728546, + "step": 1686 + }, + { + "epoch": 0.2811666666666667, + "grad_norm": 27.625, + "grad_norm_var": 5.451822916666667, + "learning_rate": 8.175001047143804e-05, + "loss": 6.896, + "loss/crossentropy": 1.7419240027666092, + "loss/hidden": 3.28125, + "loss/jsd": 0.0, + "loss/logits": 0.16018554382026196, + "step": 1687 + }, + { + "epoch": 0.2813333333333333, + "grad_norm": 29.5, + "grad_norm_var": 5.322916666666667, + "learning_rate": 8.172978180422358e-05, + "loss": 7.5015, + "loss/crossentropy": 1.5139735639095306, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.31741153448820114, + "step": 1688 + }, + { + "epoch": 0.2815, + "grad_norm": 32.5, + "grad_norm_var": 5.826497395833333, + "learning_rate": 8.170954443810948e-05, + "loss": 7.0073, + "loss/crossentropy": 1.8012758195400238, + "loss/hidden": 3.2265625, + "loss/jsd": 0.0, + "loss/logits": 0.15870653837919235, + "step": 1689 + }, + { + "epoch": 0.2816666666666667, + "grad_norm": 27.5, + "grad_norm_var": 5.954622395833334, + "learning_rate": 8.168929837864395e-05, + "loss": 6.7713, + "loss/crossentropy": 1.7050330489873886, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.16706456243991852, + "step": 1690 + }, + { + "epoch": 0.2818333333333333, + "grad_norm": 29.125, + "grad_norm_var": 5.545768229166667, + "learning_rate": 8.16690436313775e-05, + "loss": 7.1957, + "loss/crossentropy": 1.9629746973514557, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.1816374473273754, + "step": 1691 + }, + { + "epoch": 0.282, + "grad_norm": 26.875, + "grad_norm_var": 5.8478515625, + "learning_rate": 8.164878020186317e-05, + "loss": 6.7097, + "loss/crossentropy": 1.6327789425849915, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.25625718757510185, + "step": 1692 + }, + { + "epoch": 0.2821666666666667, + "grad_norm": 30.125, + "grad_norm_var": 5.343684895833333, + "learning_rate": 8.162850809565623e-05, + "loss": 7.0074, + "loss/crossentropy": 1.5538465976715088, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.16084902733564377, + "step": 1693 + }, + { + "epoch": 0.2823333333333333, + "grad_norm": 27.875, + "grad_norm_var": 5.295247395833333, + "learning_rate": 8.160822731831441e-05, + "loss": 6.9638, + "loss/crossentropy": 1.6474287658929825, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.18181404285132885, + "step": 1694 + }, + { + "epoch": 0.2825, + "grad_norm": 27.625, + "grad_norm_var": 5.205989583333333, + "learning_rate": 8.158793787539782e-05, + "loss": 7.0905, + "loss/crossentropy": 1.9614308178424835, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.23940258100628853, + "step": 1695 + }, + { + "epoch": 0.2826666666666667, + "grad_norm": 29.625, + "grad_norm_var": 3.0785807291666667, + "learning_rate": 8.156763977246889e-05, + "loss": 7.084, + "loss/crossentropy": 1.6980135440826416, + "loss/hidden": 3.53125, + "loss/jsd": 0.0, + "loss/logits": 0.1318059153854847, + "step": 1696 + }, + { + "epoch": 0.2828333333333333, + "grad_norm": 27.625, + "grad_norm_var": 2.9567057291666665, + "learning_rate": 8.154733301509248e-05, + "loss": 7.2798, + "loss/crossentropy": 2.285195052623749, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17841573804616928, + "step": 1697 + }, + { + "epoch": 0.283, + "grad_norm": 29.25, + "grad_norm_var": 2.8854166666666665, + "learning_rate": 8.152701760883581e-05, + "loss": 6.84, + "loss/crossentropy": 1.8738844096660614, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.17672141268849373, + "step": 1698 + }, + { + "epoch": 0.2831666666666667, + "grad_norm": 37.5, + "grad_norm_var": 7.734309895833333, + "learning_rate": 8.150669355926846e-05, + "loss": 7.2175, + "loss/crossentropy": 1.678205981850624, + "loss/hidden": 3.85546875, + "loss/jsd": 0.0, + "loss/logits": 0.1782095469534397, + "step": 1699 + }, + { + "epoch": 0.2833333333333333, + "grad_norm": 31.625, + "grad_norm_var": 7.338997395833333, + "learning_rate": 8.148636087196237e-05, + "loss": 7.3357, + "loss/crossentropy": 1.5552005618810654, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.18490111827850342, + "step": 1700 + }, + { + "epoch": 0.2835, + "grad_norm": 30.875, + "grad_norm_var": 7.112239583333333, + "learning_rate": 8.146601955249188e-05, + "loss": 7.1409, + "loss/crossentropy": 1.2435659170150757, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.18200484290719032, + "step": 1701 + }, + { + "epoch": 0.2836666666666667, + "grad_norm": 29.5, + "grad_norm_var": 6.908072916666667, + "learning_rate": 8.144566960643367e-05, + "loss": 7.5389, + "loss/crossentropy": 1.9872223436832428, + "loss/hidden": 3.75390625, + "loss/jsd": 0.0, + "loss/logits": 0.2747933268547058, + "step": 1702 + }, + { + "epoch": 0.2838333333333333, + "grad_norm": 27.25, + "grad_norm_var": 7.019205729166667, + "learning_rate": 8.142531103936678e-05, + "loss": 7.2176, + "loss/crossentropy": 1.9800648391246796, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.20019137114286423, + "step": 1703 + }, + { + "epoch": 0.284, + "grad_norm": 25.0, + "grad_norm_var": 8.373893229166667, + "learning_rate": 8.140494385687265e-05, + "loss": 6.7664, + "loss/crossentropy": 1.6927202641963959, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.18261635676026344, + "step": 1704 + }, + { + "epoch": 0.2841666666666667, + "grad_norm": 38.25, + "grad_norm_var": 12.842122395833334, + "learning_rate": 8.138456806453503e-05, + "loss": 7.0783, + "loss/crossentropy": 1.5268690437078476, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.13206701911985874, + "step": 1705 + }, + { + "epoch": 0.2843333333333333, + "grad_norm": 29.125, + "grad_norm_var": 12.524739583333334, + "learning_rate": 8.136418366794008e-05, + "loss": 6.8297, + "loss/crossentropy": 1.8745198845863342, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.20556993037462234, + "step": 1706 + }, + { + "epoch": 0.2845, + "grad_norm": 27.25, + "grad_norm_var": 12.920247395833334, + "learning_rate": 8.13437906726763e-05, + "loss": 6.8514, + "loss/crossentropy": 1.9250228106975555, + "loss/hidden": 3.5546875, + "loss/jsd": 0.0, + "loss/logits": 0.2539803571999073, + "step": 1707 + }, + { + "epoch": 0.2846666666666667, + "grad_norm": 27.375, + "grad_norm_var": 12.746809895833334, + "learning_rate": 8.132338908433454e-05, + "loss": 7.3852, + "loss/crossentropy": 1.8892545402050018, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16167163476347923, + "step": 1708 + }, + { + "epoch": 0.2848333333333333, + "grad_norm": 27.75, + "grad_norm_var": 12.978125, + "learning_rate": 8.130297890850802e-05, + "loss": 7.048, + "loss/crossentropy": 1.3800558298826218, + "loss/hidden": 3.73828125, + "loss/jsd": 0.0, + "loss/logits": 0.17052343860268593, + "step": 1709 + }, + { + "epoch": 0.285, + "grad_norm": 27.375, + "grad_norm_var": 13.108333333333333, + "learning_rate": 8.128256015079229e-05, + "loss": 7.1962, + "loss/crossentropy": 1.8310509622097015, + "loss/hidden": 3.5078125, + "loss/jsd": 0.0, + "loss/logits": 0.17635131999850273, + "step": 1710 + }, + { + "epoch": 0.2851666666666667, + "grad_norm": 32.5, + "grad_norm_var": 13.334309895833334, + "learning_rate": 8.126213281678528e-05, + "loss": 6.7291, + "loss/crossentropy": 0.8421642333269119, + "loss/hidden": 3.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.08007671311497688, + "step": 1711 + }, + { + "epoch": 0.2853333333333333, + "grad_norm": 35.0, + "grad_norm_var": 14.96640625, + "learning_rate": 8.124169691208723e-05, + "loss": 7.0254, + "loss/crossentropy": 1.3119288682937622, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.14421034418046474, + "step": 1712 + }, + { + "epoch": 0.2855, + "grad_norm": 28.75, + "grad_norm_var": 14.6587890625, + "learning_rate": 8.122125244230079e-05, + "loss": 6.9844, + "loss/crossentropy": 1.2713851630687714, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.13534276001155376, + "step": 1713 + }, + { + "epoch": 0.2856666666666667, + "grad_norm": 27.75, + "grad_norm_var": 15.0041015625, + "learning_rate": 8.120079941303094e-05, + "loss": 6.9775, + "loss/crossentropy": 2.193632423877716, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.20735756680369377, + "step": 1714 + }, + { + "epoch": 0.28583333333333333, + "grad_norm": 26.875, + "grad_norm_var": 11.689322916666667, + "learning_rate": 8.118033782988496e-05, + "loss": 7.1397, + "loss/crossentropy": 1.366313859820366, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.17892462760210037, + "step": 1715 + }, + { + "epoch": 0.286, + "grad_norm": 29.625, + "grad_norm_var": 11.376822916666667, + "learning_rate": 8.115986769847252e-05, + "loss": 7.3585, + "loss/crossentropy": 1.5995260626077652, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.17269459553062916, + "step": 1716 + }, + { + "epoch": 0.2861666666666667, + "grad_norm": 26.375, + "grad_norm_var": 11.751822916666667, + "learning_rate": 8.113938902440564e-05, + "loss": 6.557, + "loss/crossentropy": 1.2278249189257622, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.09960130974650383, + "step": 1717 + }, + { + "epoch": 0.28633333333333333, + "grad_norm": 26.875, + "grad_norm_var": 12.045768229166667, + "learning_rate": 8.111890181329863e-05, + "loss": 6.6644, + "loss/crossentropy": 1.2437103986740112, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.17286989092826843, + "step": 1718 + }, + { + "epoch": 0.2865, + "grad_norm": 28.125, + "grad_norm_var": 11.895833333333334, + "learning_rate": 8.109840607076821e-05, + "loss": 6.9311, + "loss/crossentropy": 1.6388500034809113, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.18063346669077873, + "step": 1719 + }, + { + "epoch": 0.2866666666666667, + "grad_norm": 31.625, + "grad_norm_var": 11.1056640625, + "learning_rate": 8.107790180243338e-05, + "loss": 6.6224, + "loss/crossentropy": 1.457134634256363, + "loss/hidden": 3.58203125, + "loss/jsd": 0.0, + "loss/logits": 0.1901661977171898, + "step": 1720 + }, + { + "epoch": 0.28683333333333333, + "grad_norm": 30.875, + "grad_norm_var": 5.81640625, + "learning_rate": 8.105738901391552e-05, + "loss": 6.8834, + "loss/crossentropy": 1.772074967622757, + "loss/hidden": 3.78125, + "loss/jsd": 0.0, + "loss/logits": 0.2563551850616932, + "step": 1721 + }, + { + "epoch": 0.287, + "grad_norm": 26.125, + "grad_norm_var": 6.31015625, + "learning_rate": 8.103686771083831e-05, + "loss": 6.743, + "loss/crossentropy": 1.562201976776123, + "loss/hidden": 3.765625, + "loss/jsd": 0.0, + "loss/logits": 0.2726549804210663, + "step": 1722 + }, + { + "epoch": 0.2871666666666667, + "grad_norm": 29.625, + "grad_norm_var": 6.182747395833333, + "learning_rate": 8.101633789882781e-05, + "loss": 7.1795, + "loss/crossentropy": 1.4713617414236069, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.22786082699894905, + "step": 1723 + }, + { + "epoch": 0.28733333333333333, + "grad_norm": 26.125, + "grad_norm_var": 6.5369140625, + "learning_rate": 8.099579958351235e-05, + "loss": 7.1679, + "loss/crossentropy": 2.030321568250656, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.2075900286436081, + "step": 1724 + }, + { + "epoch": 0.2875, + "grad_norm": 25.75, + "grad_norm_var": 7.076497395833333, + "learning_rate": 8.097525277052264e-05, + "loss": 6.9194, + "loss/crossentropy": 1.3708519041538239, + "loss/hidden": 4.01953125, + "loss/jsd": 0.0, + "loss/logits": 0.19819754734635353, + "step": 1725 + }, + { + "epoch": 0.2876666666666667, + "grad_norm": 26.75, + "grad_norm_var": 7.212239583333333, + "learning_rate": 8.095469746549172e-05, + "loss": 6.8428, + "loss/crossentropy": 2.2041515707969666, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1770605370402336, + "step": 1726 + }, + { + "epoch": 0.28783333333333333, + "grad_norm": 29.25, + "grad_norm_var": 6.213541666666667, + "learning_rate": 8.093413367405489e-05, + "loss": 7.1614, + "loss/crossentropy": 1.310487300157547, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.14241445809602737, + "step": 1727 + }, + { + "epoch": 0.288, + "grad_norm": 27.5, + "grad_norm_var": 3.1979166666666665, + "learning_rate": 8.091356140184991e-05, + "loss": 6.8751, + "loss/crossentropy": 1.2544075399637222, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.1395467333495617, + "step": 1728 + }, + { + "epoch": 0.2881666666666667, + "grad_norm": 28.625, + "grad_norm_var": 3.186393229166667, + "learning_rate": 8.089298065451672e-05, + "loss": 7.0956, + "loss/crossentropy": 1.4277315139770508, + "loss/hidden": 3.96484375, + "loss/jsd": 0.0, + "loss/logits": 0.20680862292647362, + "step": 1729 + }, + { + "epoch": 0.28833333333333333, + "grad_norm": 27.5, + "grad_norm_var": 3.198372395833333, + "learning_rate": 8.087239143769768e-05, + "loss": 7.1275, + "loss/crossentropy": 2.199025958776474, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.18593628332018852, + "step": 1730 + }, + { + "epoch": 0.2885, + "grad_norm": 33.25, + "grad_norm_var": 4.802083333333333, + "learning_rate": 8.085179375703744e-05, + "loss": 7.1663, + "loss/crossentropy": 1.5327014029026031, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.1512337662279606, + "step": 1731 + }, + { + "epoch": 0.2886666666666667, + "grad_norm": 30.25, + "grad_norm_var": 4.9306640625, + "learning_rate": 8.083118761818295e-05, + "loss": 7.0301, + "loss/crossentropy": 2.1589335799217224, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.1671556904911995, + "step": 1732 + }, + { + "epoch": 0.28883333333333333, + "grad_norm": 29.875, + "grad_norm_var": 4.7447265625, + "learning_rate": 8.081057302678352e-05, + "loss": 7.0091, + "loss/crossentropy": 1.6066819727420807, + "loss/hidden": 3.30859375, + "loss/jsd": 0.0, + "loss/logits": 0.16801932267844677, + "step": 1733 + }, + { + "epoch": 0.289, + "grad_norm": 28.375, + "grad_norm_var": 4.5337890625, + "learning_rate": 8.078994998849076e-05, + "loss": 6.8769, + "loss/crossentropy": 1.2998749762773514, + "loss/hidden": 3.63671875, + "loss/jsd": 0.0, + "loss/logits": 0.22766570188105106, + "step": 1734 + }, + { + "epoch": 0.2891666666666667, + "grad_norm": 27.75, + "grad_norm_var": 4.57265625, + "learning_rate": 8.076931850895859e-05, + "loss": 6.9313, + "loss/crossentropy": 1.5506720840930939, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.21129202470183372, + "step": 1735 + }, + { + "epoch": 0.28933333333333333, + "grad_norm": 32.75, + "grad_norm_var": 5.0900390625, + "learning_rate": 8.074867859384322e-05, + "loss": 7.1436, + "loss/crossentropy": 1.9704915881156921, + "loss/hidden": 3.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.17415691912174225, + "step": 1736 + }, + { + "epoch": 0.2895, + "grad_norm": 27.125, + "grad_norm_var": 4.9181640625, + "learning_rate": 8.072803024880322e-05, + "loss": 7.0268, + "loss/crossentropy": 1.365415871143341, + "loss/hidden": 3.92578125, + "loss/jsd": 0.0, + "loss/logits": 0.19732052460312843, + "step": 1737 + }, + { + "epoch": 0.2896666666666667, + "grad_norm": 27.25, + "grad_norm_var": 4.63515625, + "learning_rate": 8.070737347949947e-05, + "loss": 7.1417, + "loss/crossentropy": 1.8379714488983154, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.179561085999012, + "step": 1738 + }, + { + "epoch": 0.28983333333333333, + "grad_norm": 26.75, + "grad_norm_var": 4.762434895833334, + "learning_rate": 8.068670829159511e-05, + "loss": 7.0279, + "loss/crossentropy": 1.8199576884508133, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.16702722012996674, + "step": 1739 + }, + { + "epoch": 0.29, + "grad_norm": 27.125, + "grad_norm_var": 4.517643229166667, + "learning_rate": 8.066603469075564e-05, + "loss": 7.2574, + "loss/crossentropy": 1.8788958191871643, + "loss/hidden": 3.5859375, + "loss/jsd": 0.0, + "loss/logits": 0.21776703000068665, + "step": 1740 + }, + { + "epoch": 0.2901666666666667, + "grad_norm": 33.0, + "grad_norm_var": 5.152018229166667, + "learning_rate": 8.064535268264883e-05, + "loss": 7.0703, + "loss/crossentropy": 1.4729944616556168, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.17053206637501717, + "step": 1741 + }, + { + "epoch": 0.29033333333333333, + "grad_norm": 32.5, + "grad_norm_var": 5.5353515625, + "learning_rate": 8.062466227294477e-05, + "loss": 7.3585, + "loss/crossentropy": 1.5924350023269653, + "loss/hidden": 4.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.3067648336291313, + "step": 1742 + }, + { + "epoch": 0.2905, + "grad_norm": 34.0, + "grad_norm_var": 6.910872395833334, + "learning_rate": 8.060396346731587e-05, + "loss": 7.3979, + "loss/crossentropy": 1.8360927402973175, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.171937869861722, + "step": 1743 + }, + { + "epoch": 0.2906666666666667, + "grad_norm": 28.875, + "grad_norm_var": 6.64375, + "learning_rate": 8.058325627143681e-05, + "loss": 6.9895, + "loss/crossentropy": 2.1419885456562042, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.2188923880457878, + "step": 1744 + }, + { + "epoch": 0.29083333333333333, + "grad_norm": 27.0, + "grad_norm_var": 7.038997395833333, + "learning_rate": 8.056254069098459e-05, + "loss": 7.085, + "loss/crossentropy": 1.8869548439979553, + "loss/hidden": 3.48828125, + "loss/jsd": 0.0, + "loss/logits": 0.19913369789719582, + "step": 1745 + }, + { + "epoch": 0.291, + "grad_norm": 27.125, + "grad_norm_var": 7.152083333333334, + "learning_rate": 8.05418167316385e-05, + "loss": 6.9107, + "loss/crossentropy": 1.7835271060466766, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.21418502554297447, + "step": 1746 + }, + { + "epoch": 0.2911666666666667, + "grad_norm": 26.875, + "grad_norm_var": 6.557747395833333, + "learning_rate": 8.052108439908013e-05, + "loss": 7.2438, + "loss/crossentropy": 1.4813159108161926, + "loss/hidden": 3.81640625, + "loss/jsd": 0.0, + "loss/logits": 0.2985213175415993, + "step": 1747 + }, + { + "epoch": 0.29133333333333333, + "grad_norm": 27.375, + "grad_norm_var": 6.658072916666667, + "learning_rate": 8.050034369899337e-05, + "loss": 6.669, + "loss/crossentropy": 1.5193503946065903, + "loss/hidden": 3.39453125, + "loss/jsd": 0.0, + "loss/logits": 0.15331173688173294, + "step": 1748 + }, + { + "epoch": 0.2915, + "grad_norm": 30.125, + "grad_norm_var": 6.691666666666666, + "learning_rate": 8.04795946370644e-05, + "loss": 7.1138, + "loss/crossentropy": 1.9641196131706238, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.29699448496103287, + "step": 1749 + }, + { + "epoch": 0.2916666666666667, + "grad_norm": 29.125, + "grad_norm_var": 6.664322916666666, + "learning_rate": 8.04588372189817e-05, + "loss": 7.4095, + "loss/crossentropy": 2.076164960861206, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.2311621755361557, + "step": 1750 + }, + { + "epoch": 0.29183333333333333, + "grad_norm": 33.25, + "grad_norm_var": 7.60390625, + "learning_rate": 8.043807145043604e-05, + "loss": 6.7987, + "loss/crossentropy": 2.2085287868976593, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.16484244912862778, + "step": 1751 + }, + { + "epoch": 0.292, + "grad_norm": 29.25, + "grad_norm_var": 6.801822916666667, + "learning_rate": 8.041729733712045e-05, + "loss": 6.9456, + "loss/crossentropy": 1.555240511894226, + "loss/hidden": 3.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.18162141367793083, + "step": 1752 + }, + { + "epoch": 0.2921666666666667, + "grad_norm": 31.5, + "grad_norm_var": 6.8041015625, + "learning_rate": 8.039651488473028e-05, + "loss": 7.1927, + "loss/crossentropy": 1.4920425415039062, + "loss/hidden": 3.390625, + "loss/jsd": 0.0, + "loss/logits": 0.20788925141096115, + "step": 1753 + }, + { + "epoch": 0.29233333333333333, + "grad_norm": 30.5, + "grad_norm_var": 6.512955729166666, + "learning_rate": 8.037572409896315e-05, + "loss": 7.1723, + "loss/crossentropy": 1.5984963774681091, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.16287313401699066, + "step": 1754 + }, + { + "epoch": 0.2925, + "grad_norm": 27.0, + "grad_norm_var": 6.420247395833333, + "learning_rate": 8.0354924985519e-05, + "loss": 6.6847, + "loss/crossentropy": 1.2762255370616913, + "loss/hidden": 3.2734375, + "loss/jsd": 0.0, + "loss/logits": 0.14174848049879074, + "step": 1755 + }, + { + "epoch": 0.2926666666666667, + "grad_norm": 27.5, + "grad_norm_var": 6.302083333333333, + "learning_rate": 8.033411755009999e-05, + "loss": 6.9856, + "loss/crossentropy": 1.941700428724289, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.21694884449243546, + "step": 1756 + }, + { + "epoch": 0.29283333333333333, + "grad_norm": 27.125, + "grad_norm_var": 5.864518229166666, + "learning_rate": 8.031330179841062e-05, + "loss": 7.0468, + "loss/crossentropy": 1.6273793876171112, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.282911229878664, + "step": 1757 + }, + { + "epoch": 0.293, + "grad_norm": 28.0, + "grad_norm_var": 5.222330729166667, + "learning_rate": 8.029247773615764e-05, + "loss": 6.5805, + "loss/crossentropy": 1.6457321643829346, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.17904561571776867, + "step": 1758 + }, + { + "epoch": 0.2931666666666667, + "grad_norm": 26.625, + "grad_norm_var": 3.7434895833333335, + "learning_rate": 8.027164536905008e-05, + "loss": 7.2678, + "loss/crossentropy": 1.6576599180698395, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.2535715512931347, + "step": 1759 + }, + { + "epoch": 0.29333333333333333, + "grad_norm": 26.125, + "grad_norm_var": 4.107291666666667, + "learning_rate": 8.025080470279924e-05, + "loss": 6.6432, + "loss/crossentropy": 1.279824674129486, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.172175120562315, + "step": 1760 + }, + { + "epoch": 0.2935, + "grad_norm": 30.625, + "grad_norm_var": 4.248893229166667, + "learning_rate": 8.022995574311876e-05, + "loss": 6.8749, + "loss/crossentropy": 1.4916917234659195, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.1399658117443323, + "step": 1761 + }, + { + "epoch": 0.2936666666666667, + "grad_norm": 30.75, + "grad_norm_var": 4.34140625, + "learning_rate": 8.020909849572444e-05, + "loss": 6.7808, + "loss/crossentropy": 1.6238489598035812, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.17868554964661598, + "step": 1762 + }, + { + "epoch": 0.29383333333333334, + "grad_norm": 30.0, + "grad_norm_var": 4.124934895833333, + "learning_rate": 8.018823296633441e-05, + "loss": 6.8956, + "loss/crossentropy": 1.6868852376937866, + "loss/hidden": 3.98046875, + "loss/jsd": 0.0, + "loss/logits": 0.21477436274290085, + "step": 1763 + }, + { + "epoch": 0.294, + "grad_norm": 28.0, + "grad_norm_var": 4.009375, + "learning_rate": 8.016735916066913e-05, + "loss": 6.901, + "loss/crossentropy": 1.3365189731121063, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.15891896560788155, + "step": 1764 + }, + { + "epoch": 0.2941666666666667, + "grad_norm": 29.125, + "grad_norm_var": 3.934375, + "learning_rate": 8.014647708445124e-05, + "loss": 7.2008, + "loss/crossentropy": 1.694892257452011, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.2946743369102478, + "step": 1765 + }, + { + "epoch": 0.29433333333333334, + "grad_norm": 29.125, + "grad_norm_var": 3.934375, + "learning_rate": 8.012558674340566e-05, + "loss": 7.4754, + "loss/crossentropy": 1.6758044362068176, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.2702377289533615, + "step": 1766 + }, + { + "epoch": 0.2945, + "grad_norm": 27.625, + "grad_norm_var": 2.7478515625, + "learning_rate": 8.010468814325964e-05, + "loss": 6.9268, + "loss/crossentropy": 1.418891355395317, + "loss/hidden": 3.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.2032007835805416, + "step": 1767 + }, + { + "epoch": 0.2946666666666667, + "grad_norm": 25.125, + "grad_norm_var": 3.49765625, + "learning_rate": 8.008378128974262e-05, + "loss": 6.7153, + "loss/crossentropy": 1.5259346812963486, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.1468068603426218, + "step": 1768 + }, + { + "epoch": 0.29483333333333334, + "grad_norm": 35.0, + "grad_norm_var": 5.699739583333334, + "learning_rate": 8.006286618858635e-05, + "loss": 7.4526, + "loss/crossentropy": 1.8264343738555908, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.3308655321598053, + "step": 1769 + }, + { + "epoch": 0.295, + "grad_norm": 30.125, + "grad_norm_var": 5.615559895833333, + "learning_rate": 8.004194284552477e-05, + "loss": 7.196, + "loss/crossentropy": 1.5043246895074844, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.2522316053509712, + "step": 1770 + }, + { + "epoch": 0.2951666666666667, + "grad_norm": 30.875, + "grad_norm_var": 5.718489583333334, + "learning_rate": 8.002101126629421e-05, + "loss": 7.0929, + "loss/crossentropy": 2.0333942770957947, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.16261755488812923, + "step": 1771 + }, + { + "epoch": 0.29533333333333334, + "grad_norm": 28.625, + "grad_norm_var": 5.593684895833333, + "learning_rate": 8.000007145663312e-05, + "loss": 6.9917, + "loss/crossentropy": 1.465691938996315, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.18343962728977203, + "step": 1772 + }, + { + "epoch": 0.2955, + "grad_norm": 27.875, + "grad_norm_var": 5.448372395833333, + "learning_rate": 7.997912342228232e-05, + "loss": 6.8448, + "loss/crossentropy": 1.5461867153644562, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.15889544412493706, + "step": 1773 + }, + { + "epoch": 0.2956666666666667, + "grad_norm": 26.875, + "grad_norm_var": 5.673958333333333, + "learning_rate": 7.99581671689848e-05, + "loss": 6.6658, + "loss/crossentropy": 1.9842509329319, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1756543032824993, + "step": 1774 + }, + { + "epoch": 0.29583333333333334, + "grad_norm": 27.625, + "grad_norm_var": 5.432291666666667, + "learning_rate": 7.993720270248584e-05, + "loss": 6.7945, + "loss/crossentropy": 1.4479915797710419, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.164757139980793, + "step": 1775 + }, + { + "epoch": 0.296, + "grad_norm": 27.75, + "grad_norm_var": 4.981184895833334, + "learning_rate": 7.991623002853296e-05, + "loss": 6.9274, + "loss/crossentropy": 1.6568330824375153, + "loss/hidden": 3.640625, + "loss/jsd": 0.0, + "loss/logits": 0.19808551669120789, + "step": 1776 + }, + { + "epoch": 0.2961666666666667, + "grad_norm": 33.25, + "grad_norm_var": 5.955989583333333, + "learning_rate": 7.989524915287595e-05, + "loss": 6.9704, + "loss/crossentropy": 1.8999920189380646, + "loss/hidden": 3.625, + "loss/jsd": 0.0, + "loss/logits": 0.2618193253874779, + "step": 1777 + }, + { + "epoch": 0.29633333333333334, + "grad_norm": 30.875, + "grad_norm_var": 5.9822265625, + "learning_rate": 7.987426008126683e-05, + "loss": 6.8001, + "loss/crossentropy": 1.420231431722641, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.159466240555048, + "step": 1778 + }, + { + "epoch": 0.2965, + "grad_norm": 29.25, + "grad_norm_var": 5.9416015625, + "learning_rate": 7.985326281945989e-05, + "loss": 7.097, + "loss/crossentropy": 1.807582527399063, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.19036915153265, + "step": 1779 + }, + { + "epoch": 0.2966666666666667, + "grad_norm": 30.125, + "grad_norm_var": 5.88515625, + "learning_rate": 7.983225737321163e-05, + "loss": 6.8431, + "loss/crossentropy": 1.2770519852638245, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.141956627368927, + "step": 1780 + }, + { + "epoch": 0.29683333333333334, + "grad_norm": 28.625, + "grad_norm_var": 5.914322916666666, + "learning_rate": 7.98112437482808e-05, + "loss": 6.9422, + "loss/crossentropy": 2.1618843972682953, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.22594073042273521, + "step": 1781 + }, + { + "epoch": 0.297, + "grad_norm": 28.5, + "grad_norm_var": 5.953059895833333, + "learning_rate": 7.979022195042842e-05, + "loss": 6.9345, + "loss/crossentropy": 1.6791729182004929, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.1583862453699112, + "step": 1782 + }, + { + "epoch": 0.2971666666666667, + "grad_norm": 29.875, + "grad_norm_var": 5.779622395833333, + "learning_rate": 7.976919198541776e-05, + "loss": 7.1093, + "loss/crossentropy": 2.0253910422325134, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.18104693293571472, + "step": 1783 + }, + { + "epoch": 0.29733333333333334, + "grad_norm": 27.125, + "grad_norm_var": 4.8900390625, + "learning_rate": 7.974815385901426e-05, + "loss": 6.8837, + "loss/crossentropy": 1.0846698433160782, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.19080137088894844, + "step": 1784 + }, + { + "epoch": 0.2975, + "grad_norm": 28.5, + "grad_norm_var": 2.784309895833333, + "learning_rate": 7.972710757698567e-05, + "loss": 7.0842, + "loss/crossentropy": 1.0163829326629639, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.09758484549820423, + "step": 1785 + }, + { + "epoch": 0.2976666666666667, + "grad_norm": 28.625, + "grad_norm_var": 2.723372395833333, + "learning_rate": 7.970605314510194e-05, + "loss": 6.8777, + "loss/crossentropy": 1.3463373482227325, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.20978064835071564, + "step": 1786 + }, + { + "epoch": 0.29783333333333334, + "grad_norm": 28.125, + "grad_norm_var": 2.5171223958333333, + "learning_rate": 7.968499056913524e-05, + "loss": 7.1014, + "loss/crossentropy": 1.911300390958786, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.20329588279128075, + "step": 1787 + }, + { + "epoch": 0.298, + "grad_norm": 32.25, + "grad_norm_var": 3.22890625, + "learning_rate": 7.966391985486003e-05, + "loss": 7.289, + "loss/crossentropy": 2.324524700641632, + "loss/hidden": 3.2578125, + "loss/jsd": 0.0, + "loss/logits": 0.22398141771554947, + "step": 1788 + }, + { + "epoch": 0.2981666666666667, + "grad_norm": 28.75, + "grad_norm_var": 3.1363932291666665, + "learning_rate": 7.964284100805297e-05, + "loss": 6.5837, + "loss/crossentropy": 1.631472885608673, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.14790612272918224, + "step": 1789 + }, + { + "epoch": 0.29833333333333334, + "grad_norm": 27.875, + "grad_norm_var": 2.8978515625, + "learning_rate": 7.96217540344929e-05, + "loss": 7.0222, + "loss/crossentropy": 1.9974042177200317, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.15219398401677608, + "step": 1790 + }, + { + "epoch": 0.2985, + "grad_norm": 26.875, + "grad_norm_var": 3.0900390625, + "learning_rate": 7.960065893996098e-05, + "loss": 6.6089, + "loss/crossentropy": 1.646654486656189, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.16715771704912186, + "step": 1791 + }, + { + "epoch": 0.2986666666666667, + "grad_norm": 26.625, + "grad_norm_var": 3.37890625, + "learning_rate": 7.957955573024052e-05, + "loss": 6.6297, + "loss/crossentropy": 1.467742219567299, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.15904828533530235, + "step": 1792 + }, + { + "epoch": 0.29883333333333334, + "grad_norm": 28.0, + "grad_norm_var": 2.18125, + "learning_rate": 7.95584444111171e-05, + "loss": 6.942, + "loss/crossentropy": 1.7421496510505676, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.2290753275156021, + "step": 1793 + }, + { + "epoch": 0.299, + "grad_norm": 27.875, + "grad_norm_var": 1.89375, + "learning_rate": 7.95373249883785e-05, + "loss": 7.0584, + "loss/crossentropy": 2.0441207587718964, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.14781775325536728, + "step": 1794 + }, + { + "epoch": 0.2991666666666667, + "grad_norm": 29.5, + "grad_norm_var": 1.9205729166666667, + "learning_rate": 7.951619746781474e-05, + "loss": 6.9599, + "loss/crossentropy": 1.7582679837942123, + "loss/hidden": 3.3515625, + "loss/jsd": 0.0, + "loss/logits": 0.19540252909064293, + "step": 1795 + }, + { + "epoch": 0.29933333333333334, + "grad_norm": 30.75, + "grad_norm_var": 2.0738932291666665, + "learning_rate": 7.949506185521802e-05, + "loss": 7.1559, + "loss/crossentropy": 2.3156529366970062, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16512399911880493, + "step": 1796 + }, + { + "epoch": 0.2995, + "grad_norm": 29.25, + "grad_norm_var": 2.0989583333333335, + "learning_rate": 7.947391815638284e-05, + "loss": 6.8516, + "loss/crossentropy": 1.6621273458003998, + "loss/hidden": 3.62109375, + "loss/jsd": 0.0, + "loss/logits": 0.1719889882951975, + "step": 1797 + }, + { + "epoch": 0.2996666666666667, + "grad_norm": 29.0, + "grad_norm_var": 2.1041666666666665, + "learning_rate": 7.945276637710582e-05, + "loss": 6.9817, + "loss/crossentropy": 1.2713432908058167, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.18255398236215115, + "step": 1798 + }, + { + "epoch": 0.29983333333333334, + "grad_norm": 28.0, + "grad_norm_var": 2.0270182291666665, + "learning_rate": 7.943160652318585e-05, + "loss": 7.2958, + "loss/crossentropy": 1.586458146572113, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.19176992401480675, + "step": 1799 + }, + { + "epoch": 0.3, + "grad_norm": 26.375, + "grad_norm_var": 2.2067057291666665, + "learning_rate": 7.941043860042403e-05, + "loss": 7.0033, + "loss/crossentropy": 1.4122734367847443, + "loss/hidden": 3.33203125, + "loss/jsd": 0.0, + "loss/logits": 0.17232872918248177, + "step": 1800 + }, + { + "epoch": 0.3001666666666667, + "grad_norm": 29.0, + "grad_norm_var": 2.2207682291666666, + "learning_rate": 7.938926261462366e-05, + "loss": 6.7776, + "loss/crossentropy": 1.7719630151987076, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1281336434185505, + "step": 1801 + }, + { + "epoch": 0.30033333333333334, + "grad_norm": 26.25, + "grad_norm_var": 2.551041666666667, + "learning_rate": 7.936807857159026e-05, + "loss": 6.7018, + "loss/crossentropy": 1.3210044652223587, + "loss/hidden": 3.83984375, + "loss/jsd": 0.0, + "loss/logits": 0.17460490390658379, + "step": 1802 + }, + { + "epoch": 0.3005, + "grad_norm": 27.0, + "grad_norm_var": 2.6723307291666667, + "learning_rate": 7.934688647713158e-05, + "loss": 7.2574, + "loss/crossentropy": 1.5738000869750977, + "loss/hidden": 3.52734375, + "loss/jsd": 0.0, + "loss/logits": 0.20022379606962204, + "step": 1803 + }, + { + "epoch": 0.3006666666666667, + "grad_norm": 27.125, + "grad_norm_var": 1.6393229166666667, + "learning_rate": 7.932568633705752e-05, + "loss": 7.1622, + "loss/crossentropy": 2.075514942407608, + "loss/hidden": 3.40625, + "loss/jsd": 0.0, + "loss/logits": 0.1800731047987938, + "step": 1804 + }, + { + "epoch": 0.30083333333333334, + "grad_norm": 29.375, + "grad_norm_var": 1.7249348958333333, + "learning_rate": 7.930447815718022e-05, + "loss": 6.9116, + "loss/crossentropy": 1.5317128598690033, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.15660550631582737, + "step": 1805 + }, + { + "epoch": 0.301, + "grad_norm": 31.625, + "grad_norm_var": 2.5139973958333335, + "learning_rate": 7.928326194331404e-05, + "loss": 7.0955, + "loss/crossentropy": 1.6554387956857681, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.14489647932350636, + "step": 1806 + }, + { + "epoch": 0.3011666666666667, + "grad_norm": 30.375, + "grad_norm_var": 2.6197265625, + "learning_rate": 7.926203770127552e-05, + "loss": 6.3688, + "loss/crossentropy": 1.5688863396644592, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.17087645828723907, + "step": 1807 + }, + { + "epoch": 0.30133333333333334, + "grad_norm": 112.5, + "grad_norm_var": 441.96875, + "learning_rate": 7.924080543688337e-05, + "loss": 7.431, + "loss/crossentropy": 2.037807285785675, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.17743926122784615, + "step": 1808 + }, + { + "epoch": 0.3015, + "grad_norm": 33.5, + "grad_norm_var": 439.55104166666666, + "learning_rate": 7.921956515595861e-05, + "loss": 7.0165, + "loss/crossentropy": 1.3565820753574371, + "loss/hidden": 3.47265625, + "loss/jsd": 0.0, + "loss/logits": 0.16366836801171303, + "step": 1809 + }, + { + "epoch": 0.3016666666666667, + "grad_norm": 26.875, + "grad_norm_var": 440.459375, + "learning_rate": 7.919831686432433e-05, + "loss": 6.531, + "loss/crossentropy": 1.2930429875850677, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.16433067619800568, + "step": 1810 + }, + { + "epoch": 0.30183333333333334, + "grad_norm": 30.75, + "grad_norm_var": 439.78098958333334, + "learning_rate": 7.917706056780587e-05, + "loss": 7.4376, + "loss/crossentropy": 1.3591233491897583, + "loss/hidden": 3.66796875, + "loss/jsd": 0.0, + "loss/logits": 0.1684689000248909, + "step": 1811 + }, + { + "epoch": 0.302, + "grad_norm": 27.5, + "grad_norm_var": 441.95104166666664, + "learning_rate": 7.915579627223079e-05, + "loss": 7.0151, + "loss/crossentropy": 2.3508116602897644, + "loss/hidden": 2.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.15554703772068024, + "step": 1812 + }, + { + "epoch": 0.30216666666666664, + "grad_norm": 28.5, + "grad_norm_var": 442.4643229166667, + "learning_rate": 7.913452398342881e-05, + "loss": 7.136, + "loss/crossentropy": 2.155543863773346, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.19816122949123383, + "step": 1813 + }, + { + "epoch": 0.30233333333333334, + "grad_norm": 31.25, + "grad_norm_var": 441.28541666666666, + "learning_rate": 7.911324370723183e-05, + "loss": 6.7815, + "loss/crossentropy": 1.916477084159851, + "loss/hidden": 3.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.18089919164776802, + "step": 1814 + }, + { + "epoch": 0.3025, + "grad_norm": 31.375, + "grad_norm_var": 439.24108072916664, + "learning_rate": 7.909195544947398e-05, + "loss": 7.384, + "loss/crossentropy": 1.5295850485563278, + "loss/hidden": 3.84375, + "loss/jsd": 0.0, + "loss/logits": 0.22763513773679733, + "step": 1815 + }, + { + "epoch": 0.30266666666666664, + "grad_norm": 30.375, + "grad_norm_var": 435.99524739583336, + "learning_rate": 7.907065921599154e-05, + "loss": 7.2053, + "loss/crossentropy": 1.8417341709136963, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.23864583484828472, + "step": 1816 + }, + { + "epoch": 0.30283333333333334, + "grad_norm": 27.375, + "grad_norm_var": 437.3705729166667, + "learning_rate": 7.9049355012623e-05, + "loss": 6.8166, + "loss/crossentropy": 1.5035779774188995, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.21950983256101608, + "step": 1817 + }, + { + "epoch": 0.303, + "grad_norm": 28.125, + "grad_norm_var": 435.5317057291667, + "learning_rate": 7.902804284520903e-05, + "loss": 7.103, + "loss/crossentropy": 1.697951763868332, + "loss/hidden": 3.37890625, + "loss/jsd": 0.0, + "loss/logits": 0.14957010000944138, + "step": 1818 + }, + { + "epoch": 0.30316666666666664, + "grad_norm": 28.125, + "grad_norm_var": 434.47057291666664, + "learning_rate": 7.900672271959247e-05, + "loss": 6.9016, + "loss/crossentropy": 1.8022080063819885, + "loss/hidden": 3.3359375, + "loss/jsd": 0.0, + "loss/logits": 0.14898456819355488, + "step": 1819 + }, + { + "epoch": 0.30333333333333334, + "grad_norm": 26.625, + "grad_norm_var": 434.98932291666665, + "learning_rate": 7.898539464161838e-05, + "loss": 7.1498, + "loss/crossentropy": 1.259935587644577, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.17238236591219902, + "step": 1820 + }, + { + "epoch": 0.3035, + "grad_norm": 27.125, + "grad_norm_var": 436.8854166666667, + "learning_rate": 7.896405861713394e-05, + "loss": 6.7154, + "loss/crossentropy": 1.450925201177597, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1539447344839573, + "step": 1821 + }, + { + "epoch": 0.30366666666666664, + "grad_norm": 32.75, + "grad_norm_var": 436.53326822916665, + "learning_rate": 7.894271465198857e-05, + "loss": 7.1475, + "loss/crossentropy": 1.918646514415741, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.18164777755737305, + "step": 1822 + }, + { + "epoch": 0.30383333333333334, + "grad_norm": 30.25, + "grad_norm_var": 436.6041666666667, + "learning_rate": 7.892136275203383e-05, + "loss": 6.8871, + "loss/crossentropy": 1.5400571823120117, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.1768193021416664, + "step": 1823 + }, + { + "epoch": 0.304, + "grad_norm": 29.25, + "grad_norm_var": 4.658072916666667, + "learning_rate": 7.890000292312346e-05, + "loss": 7.0315, + "loss/crossentropy": 1.7772729694843292, + "loss/hidden": 3.69921875, + "loss/jsd": 0.0, + "loss/logits": 0.22446472570300102, + "step": 1824 + }, + { + "epoch": 0.30416666666666664, + "grad_norm": 26.875, + "grad_norm_var": 3.7436848958333333, + "learning_rate": 7.887863517111338e-05, + "loss": 7.0343, + "loss/crossentropy": 1.6882353723049164, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.22113287448883057, + "step": 1825 + }, + { + "epoch": 0.30433333333333334, + "grad_norm": 28.625, + "grad_norm_var": 3.452018229166667, + "learning_rate": 7.88572595018617e-05, + "loss": 6.9748, + "loss/crossentropy": 1.8164548575878143, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.21961813420057297, + "step": 1826 + }, + { + "epoch": 0.3045, + "grad_norm": 28.375, + "grad_norm_var": 3.267708333333333, + "learning_rate": 7.883587592122863e-05, + "loss": 6.8205, + "loss/crossentropy": 1.6645339578390121, + "loss/hidden": 3.36328125, + "loss/jsd": 0.0, + "loss/logits": 0.1584730539470911, + "step": 1827 + }, + { + "epoch": 0.30466666666666664, + "grad_norm": 28.875, + "grad_norm_var": 3.128059895833333, + "learning_rate": 7.881448443507664e-05, + "loss": 7.2591, + "loss/crossentropy": 1.973101168870926, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.2651126943528652, + "step": 1828 + }, + { + "epoch": 0.30483333333333335, + "grad_norm": 27.5, + "grad_norm_var": 3.2561848958333335, + "learning_rate": 7.879308504927035e-05, + "loss": 7.2025, + "loss/crossentropy": 1.5946943312883377, + "loss/hidden": 3.26171875, + "loss/jsd": 0.0, + "loss/logits": 0.17251763492822647, + "step": 1829 + }, + { + "epoch": 0.305, + "grad_norm": 26.875, + "grad_norm_var": 3.0989583333333335, + "learning_rate": 7.877167776967645e-05, + "loss": 7.0168, + "loss/crossentropy": 2.1168753504753113, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.18964385241270065, + "step": 1830 + }, + { + "epoch": 0.30516666666666664, + "grad_norm": 32.25, + "grad_norm_var": 3.463997395833333, + "learning_rate": 7.875026260216393e-05, + "loss": 6.6181, + "loss/crossentropy": 1.3980006575584412, + "loss/hidden": 3.1875, + "loss/jsd": 0.0, + "loss/logits": 0.10987738519906998, + "step": 1831 + }, + { + "epoch": 0.30533333333333335, + "grad_norm": 29.5, + "grad_norm_var": 3.3177083333333335, + "learning_rate": 7.872883955260387e-05, + "loss": 6.5008, + "loss/crossentropy": 2.172425150871277, + "loss/hidden": 3.171875, + "loss/jsd": 0.0, + "loss/logits": 0.15537427365779877, + "step": 1832 + }, + { + "epoch": 0.3055, + "grad_norm": 31.25, + "grad_norm_var": 3.5942057291666667, + "learning_rate": 7.87074086268695e-05, + "loss": 7.0536, + "loss/crossentropy": 1.8021511733531952, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.21503210812807083, + "step": 1833 + }, + { + "epoch": 0.30566666666666664, + "grad_norm": 41.5, + "grad_norm_var": 13.395572916666667, + "learning_rate": 7.868596983083623e-05, + "loss": 7.099, + "loss/crossentropy": 1.839784860610962, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.14783872663974762, + "step": 1834 + }, + { + "epoch": 0.30583333333333335, + "grad_norm": 29.5, + "grad_norm_var": 13.218684895833333, + "learning_rate": 7.866452317038164e-05, + "loss": 6.6123, + "loss/crossentropy": 0.9922498315572739, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1440199390053749, + "step": 1835 + }, + { + "epoch": 0.306, + "grad_norm": 29.125, + "grad_norm_var": 12.544205729166666, + "learning_rate": 7.864306865138545e-05, + "loss": 7.3191, + "loss/crossentropy": 1.683628648519516, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.1728571616113186, + "step": 1836 + }, + { + "epoch": 0.30616666666666664, + "grad_norm": 27.0, + "grad_norm_var": 12.592708333333333, + "learning_rate": 7.862160627972955e-05, + "loss": 6.9569, + "loss/crossentropy": 2.0906372666358948, + "loss/hidden": 3.26953125, + "loss/jsd": 0.0, + "loss/logits": 0.18486298620700836, + "step": 1837 + }, + { + "epoch": 0.30633333333333335, + "grad_norm": 29.25, + "grad_norm_var": 12.060416666666667, + "learning_rate": 7.860013606129796e-05, + "loss": 6.939, + "loss/crossentropy": 1.5109025537967682, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.13854311406612396, + "step": 1838 + }, + { + "epoch": 0.3065, + "grad_norm": 29.0, + "grad_norm_var": 12.074739583333333, + "learning_rate": 7.857865800197684e-05, + "loss": 7.0375, + "loss/crossentropy": 1.3523481339216232, + "loss/hidden": 3.77734375, + "loss/jsd": 0.0, + "loss/logits": 0.18698465079069138, + "step": 1839 + }, + { + "epoch": 0.30666666666666664, + "grad_norm": 29.625, + "grad_norm_var": 12.062434895833333, + "learning_rate": 7.855717210765456e-05, + "loss": 6.7407, + "loss/crossentropy": 1.227504014968872, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.11474656872451305, + "step": 1840 + }, + { + "epoch": 0.30683333333333335, + "grad_norm": 29.0, + "grad_norm_var": 11.545572916666666, + "learning_rate": 7.85356783842216e-05, + "loss": 6.8196, + "loss/crossentropy": 1.9633170366287231, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.21601013839244843, + "step": 1841 + }, + { + "epoch": 0.307, + "grad_norm": 30.75, + "grad_norm_var": 11.4869140625, + "learning_rate": 7.851417683757053e-05, + "loss": 7.2679, + "loss/crossentropy": 1.1730319112539291, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.1535097137093544, + "step": 1842 + }, + { + "epoch": 0.30716666666666664, + "grad_norm": 29.125, + "grad_norm_var": 11.3634765625, + "learning_rate": 7.849266747359619e-05, + "loss": 7.1529, + "loss/crossentropy": 1.5851309597492218, + "loss/hidden": 3.8046875, + "loss/jsd": 0.0, + "loss/logits": 0.20339439436793327, + "step": 1843 + }, + { + "epoch": 0.30733333333333335, + "grad_norm": 26.375, + "grad_norm_var": 12.131705729166667, + "learning_rate": 7.847115029819547e-05, + "loss": 6.9862, + "loss/crossentropy": 1.713428407907486, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.20932835340499878, + "step": 1844 + }, + { + "epoch": 0.3075, + "grad_norm": 31.375, + "grad_norm_var": 11.855208333333334, + "learning_rate": 7.84496253172674e-05, + "loss": 6.9028, + "loss/crossentropy": 1.655678853392601, + "loss/hidden": 3.20703125, + "loss/jsd": 0.0, + "loss/logits": 0.14287131652235985, + "step": 1845 + }, + { + "epoch": 0.30766666666666664, + "grad_norm": 24.75, + "grad_norm_var": 13.0494140625, + "learning_rate": 7.84280925367132e-05, + "loss": 6.6203, + "loss/crossentropy": 1.6767279207706451, + "loss/hidden": 3.2109375, + "loss/jsd": 0.0, + "loss/logits": 0.13365484960377216, + "step": 1846 + }, + { + "epoch": 0.30783333333333335, + "grad_norm": 32.25, + "grad_norm_var": 13.0494140625, + "learning_rate": 7.84065519624362e-05, + "loss": 7.1116, + "loss/crossentropy": 1.8239229321479797, + "loss/hidden": 3.5390625, + "loss/jsd": 0.0, + "loss/logits": 0.19592266529798508, + "step": 1847 + }, + { + "epoch": 0.308, + "grad_norm": 29.25, + "grad_norm_var": 13.068684895833334, + "learning_rate": 7.838500360034188e-05, + "loss": 7.082, + "loss/crossentropy": 2.026229441165924, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.19996747002005577, + "step": 1848 + }, + { + "epoch": 0.30816666666666664, + "grad_norm": 29.875, + "grad_norm_var": 12.94765625, + "learning_rate": 7.836344745633783e-05, + "loss": 7.0678, + "loss/crossentropy": 2.0968761444091797, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.17616475000977516, + "step": 1849 + }, + { + "epoch": 0.30833333333333335, + "grad_norm": 28.625, + "grad_norm_var": 3.324934895833333, + "learning_rate": 7.83418835363338e-05, + "loss": 6.8456, + "loss/crossentropy": 1.4505693912506104, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.13610314577817917, + "step": 1850 + }, + { + "epoch": 0.3085, + "grad_norm": 27.0, + "grad_norm_var": 3.567122395833333, + "learning_rate": 7.832031184624164e-05, + "loss": 7.1366, + "loss/crossentropy": 2.1420071125030518, + "loss/hidden": 3.3984375, + "loss/jsd": 0.0, + "loss/logits": 0.1590719074010849, + "step": 1851 + }, + { + "epoch": 0.30866666666666664, + "grad_norm": 27.625, + "grad_norm_var": 3.6624348958333335, + "learning_rate": 7.829873239197538e-05, + "loss": 7.1721, + "loss/crossentropy": 1.3285071849822998, + "loss/hidden": 3.59375, + "loss/jsd": 0.0, + "loss/logits": 0.16042914055287838, + "step": 1852 + }, + { + "epoch": 0.30883333333333335, + "grad_norm": 28.75, + "grad_norm_var": 3.432747395833333, + "learning_rate": 7.827714517945115e-05, + "loss": 7.0415, + "loss/crossentropy": 1.7693351209163666, + "loss/hidden": 3.0625, + "loss/jsd": 0.0, + "loss/logits": 0.13225612975656986, + "step": 1853 + }, + { + "epoch": 0.309, + "grad_norm": 27.375, + "grad_norm_var": 3.568489583333333, + "learning_rate": 7.825555021458716e-05, + "loss": 7.0073, + "loss/crossentropy": 2.1532363295555115, + "loss/hidden": 3.62890625, + "loss/jsd": 0.0, + "loss/logits": 0.22851087525486946, + "step": 1854 + }, + { + "epoch": 0.30916666666666665, + "grad_norm": 26.375, + "grad_norm_var": 3.9280598958333335, + "learning_rate": 7.823394750330387e-05, + "loss": 6.9739, + "loss/crossentropy": 1.903586357831955, + "loss/hidden": 3.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.16680320911109447, + "step": 1855 + }, + { + "epoch": 0.30933333333333335, + "grad_norm": 27.0, + "grad_norm_var": 4.011458333333334, + "learning_rate": 7.821233705152371e-05, + "loss": 6.516, + "loss/crossentropy": 1.6436423063278198, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.14540725946426392, + "step": 1856 + }, + { + "epoch": 0.3095, + "grad_norm": 28.375, + "grad_norm_var": 3.9916015625, + "learning_rate": 7.819071886517134e-05, + "loss": 7.0631, + "loss/crossentropy": 1.4558165669441223, + "loss/hidden": 3.32421875, + "loss/jsd": 0.0, + "loss/logits": 0.126516193151474, + "step": 1857 + }, + { + "epoch": 0.30966666666666665, + "grad_norm": 35.0, + "grad_norm_var": 6.4353515625, + "learning_rate": 7.816909295017352e-05, + "loss": 6.7891, + "loss/crossentropy": 1.5153915584087372, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.1435499582439661, + "step": 1858 + }, + { + "epoch": 0.30983333333333335, + "grad_norm": 30.875, + "grad_norm_var": 6.727018229166666, + "learning_rate": 7.81474593124591e-05, + "loss": 6.8838, + "loss/crossentropy": 1.9987106323242188, + "loss/hidden": 3.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.27799108624458313, + "step": 1859 + }, + { + "epoch": 0.31, + "grad_norm": 30.875, + "grad_norm_var": 6.534830729166667, + "learning_rate": 7.812581795795907e-05, + "loss": 6.9019, + "loss/crossentropy": 1.8754624426364899, + "loss/hidden": 3.03125, + "loss/jsd": 0.0, + "loss/logits": 0.13171296194195747, + "step": 1860 + }, + { + "epoch": 0.31016666666666665, + "grad_norm": 30.75, + "grad_norm_var": 6.368489583333333, + "learning_rate": 7.810416889260653e-05, + "loss": 7.4034, + "loss/crossentropy": 1.5210355818271637, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.16199497133493423, + "step": 1861 + }, + { + "epoch": 0.31033333333333335, + "grad_norm": 29.625, + "grad_norm_var": 5.060872395833333, + "learning_rate": 7.80825121223367e-05, + "loss": 7.3534, + "loss/crossentropy": 2.180351436138153, + "loss/hidden": 3.0703125, + "loss/jsd": 0.0, + "loss/logits": 0.14645655825734138, + "step": 1862 + }, + { + "epoch": 0.3105, + "grad_norm": 30.625, + "grad_norm_var": 4.597916666666666, + "learning_rate": 7.80608476530869e-05, + "loss": 6.8991, + "loss/crossentropy": 1.7439337968826294, + "loss/hidden": 3.43359375, + "loss/jsd": 0.0, + "loss/logits": 0.1728023998439312, + "step": 1863 + }, + { + "epoch": 0.31066666666666665, + "grad_norm": 28.75, + "grad_norm_var": 4.613541666666666, + "learning_rate": 7.803917549079655e-05, + "loss": 7.0085, + "loss/crossentropy": 1.8750990629196167, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.16987328231334686, + "step": 1864 + }, + { + "epoch": 0.31083333333333335, + "grad_norm": 31.0, + "grad_norm_var": 4.791080729166667, + "learning_rate": 7.801749564140724e-05, + "loss": 7.0188, + "loss/crossentropy": 1.7670414745807648, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.1989278867840767, + "step": 1865 + }, + { + "epoch": 0.311, + "grad_norm": 29.875, + "grad_norm_var": 4.778059895833334, + "learning_rate": 7.799580811086258e-05, + "loss": 7.2138, + "loss/crossentropy": 1.9684894680976868, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.20455539226531982, + "step": 1866 + }, + { + "epoch": 0.31116666666666665, + "grad_norm": 29.75, + "grad_norm_var": 4.382747395833333, + "learning_rate": 7.797411290510835e-05, + "loss": 7.1259, + "loss/crossentropy": 1.046493113040924, + "loss/hidden": 3.828125, + "loss/jsd": 0.0, + "loss/logits": 0.17215987294912338, + "step": 1867 + }, + { + "epoch": 0.31133333333333335, + "grad_norm": 29.625, + "grad_norm_var": 4.122330729166666, + "learning_rate": 7.795241003009241e-05, + "loss": 7.2216, + "loss/crossentropy": 1.8449428081512451, + "loss/hidden": 3.0234375, + "loss/jsd": 0.0, + "loss/logits": 0.1435481458902359, + "step": 1868 + }, + { + "epoch": 0.3115, + "grad_norm": 29.125, + "grad_norm_var": 4.085416666666666, + "learning_rate": 7.793069949176473e-05, + "loss": 7.1263, + "loss/crossentropy": 2.1592356860637665, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.24637145176529884, + "step": 1869 + }, + { + "epoch": 0.31166666666666665, + "grad_norm": 26.875, + "grad_norm_var": 4.255208333333333, + "learning_rate": 7.790898129607738e-05, + "loss": 6.7132, + "loss/crossentropy": 1.515554964542389, + "loss/hidden": 3.65625, + "loss/jsd": 0.0, + "loss/logits": 0.16295021399855614, + "step": 1870 + }, + { + "epoch": 0.31183333333333335, + "grad_norm": 28.25, + "grad_norm_var": 3.6546223958333335, + "learning_rate": 7.788725544898452e-05, + "loss": 7.0407, + "loss/crossentropy": 1.7184237241744995, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.162395890802145, + "step": 1871 + }, + { + "epoch": 0.312, + "grad_norm": 28.25, + "grad_norm_var": 3.2900390625, + "learning_rate": 7.78655219564424e-05, + "loss": 7.2002, + "loss/crossentropy": 2.1363507509231567, + "loss/hidden": 3.61328125, + "loss/jsd": 0.0, + "loss/logits": 0.19071825221180916, + "step": 1872 + }, + { + "epoch": 0.31216666666666665, + "grad_norm": 28.375, + "grad_norm_var": 3.2900390625, + "learning_rate": 7.784378082440941e-05, + "loss": 6.9572, + "loss/crossentropy": 1.750045657157898, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.24303391948342323, + "step": 1873 + }, + { + "epoch": 0.31233333333333335, + "grad_norm": 31.5, + "grad_norm_var": 1.6530598958333333, + "learning_rate": 7.782203205884598e-05, + "loss": 7.0691, + "loss/crossentropy": 1.3648466914892197, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.20632506720721722, + "step": 1874 + }, + { + "epoch": 0.3125, + "grad_norm": 29.375, + "grad_norm_var": 1.5452473958333333, + "learning_rate": 7.780027566571465e-05, + "loss": 7.3594, + "loss/crossentropy": 1.7212892472743988, + "loss/hidden": 3.546875, + "loss/jsd": 0.0, + "loss/logits": 0.23325346782803535, + "step": 1875 + }, + { + "epoch": 0.31266666666666665, + "grad_norm": 32.75, + "grad_norm_var": 2.0989583333333335, + "learning_rate": 7.777851165098012e-05, + "loss": 7.2349, + "loss/crossentropy": 1.2445969730615616, + "loss/hidden": 3.67578125, + "loss/jsd": 0.0, + "loss/logits": 0.15521959587931633, + "step": 1876 + }, + { + "epoch": 0.31283333333333335, + "grad_norm": 31.0, + "grad_norm_var": 2.1393229166666665, + "learning_rate": 7.775674002060905e-05, + "loss": 6.8145, + "loss/crossentropy": 1.4034997522830963, + "loss/hidden": 3.49609375, + "loss/jsd": 0.0, + "loss/logits": 0.16615463607013226, + "step": 1877 + }, + { + "epoch": 0.313, + "grad_norm": 27.75, + "grad_norm_var": 2.3707682291666665, + "learning_rate": 7.773496078057028e-05, + "loss": 6.9783, + "loss/crossentropy": 1.895322322845459, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.19174939766526222, + "step": 1878 + }, + { + "epoch": 0.31316666666666665, + "grad_norm": 29.375, + "grad_norm_var": 2.2900390625, + "learning_rate": 7.771317393683471e-05, + "loss": 7.0273, + "loss/crossentropy": 1.9640153646469116, + "loss/hidden": 3.4453125, + "loss/jsd": 0.0, + "loss/logits": 0.23941552266478539, + "step": 1879 + }, + { + "epoch": 0.31333333333333335, + "grad_norm": 27.0, + "grad_norm_var": 2.6509765625, + "learning_rate": 7.769137949537532e-05, + "loss": 6.864, + "loss/crossentropy": 1.4724474251270294, + "loss/hidden": 3.46875, + "loss/jsd": 0.0, + "loss/logits": 0.15606267377734184, + "step": 1880 + }, + { + "epoch": 0.3135, + "grad_norm": 28.125, + "grad_norm_var": 2.5416666666666665, + "learning_rate": 7.766957746216721e-05, + "loss": 6.9245, + "loss/crossentropy": 1.7987104952335358, + "loss/hidden": 3.6171875, + "loss/jsd": 0.0, + "loss/logits": 0.16625307500362396, + "step": 1881 + }, + { + "epoch": 0.31366666666666665, + "grad_norm": 26.75, + "grad_norm_var": 2.8655598958333335, + "learning_rate": 7.764776784318751e-05, + "loss": 7.205, + "loss/crossentropy": 2.092978924512863, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1646638959646225, + "step": 1882 + }, + { + "epoch": 0.31383333333333335, + "grad_norm": 27.5, + "grad_norm_var": 2.9546223958333333, + "learning_rate": 7.762595064441542e-05, + "loss": 7.0331, + "loss/crossentropy": 2.033162772655487, + "loss/hidden": 3.4296875, + "loss/jsd": 0.0, + "loss/logits": 0.2481602057814598, + "step": 1883 + }, + { + "epoch": 0.314, + "grad_norm": 30.875, + "grad_norm_var": 3.1811848958333333, + "learning_rate": 7.76041258718323e-05, + "loss": 6.8271, + "loss/crossentropy": 1.8266779333353043, + "loss/hidden": 3.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.1392462272197008, + "step": 1884 + }, + { + "epoch": 0.31416666666666665, + "grad_norm": 29.875, + "grad_norm_var": 3.2358723958333333, + "learning_rate": 7.758229353142152e-05, + "loss": 7.1062, + "loss/crossentropy": 2.3862681090831757, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.164220180362463, + "step": 1885 + }, + { + "epoch": 0.31433333333333335, + "grad_norm": 32.75, + "grad_norm_var": 3.746875, + "learning_rate": 7.756045362916853e-05, + "loss": 7.3689, + "loss/crossentropy": 1.8096283078193665, + "loss/hidden": 3.8203125, + "loss/jsd": 0.0, + "loss/logits": 0.26275773346424103, + "step": 1886 + }, + { + "epoch": 0.3145, + "grad_norm": 27.625, + "grad_norm_var": 3.862434895833333, + "learning_rate": 7.753860617106086e-05, + "loss": 6.8594, + "loss/crossentropy": 1.6941289901733398, + "loss/hidden": 3.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.22652960568666458, + "step": 1887 + }, + { + "epoch": 0.31466666666666665, + "grad_norm": 28.875, + "grad_norm_var": 3.798958333333333, + "learning_rate": 7.751675116308812e-05, + "loss": 6.6887, + "loss/crossentropy": 1.4575351774692535, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.2733895592391491, + "step": 1888 + }, + { + "epoch": 0.31483333333333335, + "grad_norm": 27.625, + "grad_norm_var": 3.9309895833333335, + "learning_rate": 7.7494888611242e-05, + "loss": 7.0136, + "loss/crossentropy": 1.8295487463474274, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.21708901971578598, + "step": 1889 + }, + { + "epoch": 0.315, + "grad_norm": 27.75, + "grad_norm_var": 3.7083333333333335, + "learning_rate": 7.747301852151621e-05, + "loss": 7.0604, + "loss/crossentropy": 1.6264638304710388, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.14993342012166977, + "step": 1890 + }, + { + "epoch": 0.31516666666666665, + "grad_norm": 26.375, + "grad_norm_var": 4.145833333333333, + "learning_rate": 7.74511408999066e-05, + "loss": 6.8725, + "loss/crossentropy": 1.2875807881355286, + "loss/hidden": 3.8359375, + "loss/jsd": 0.0, + "loss/logits": 0.23947446048259735, + "step": 1891 + }, + { + "epoch": 0.31533333333333335, + "grad_norm": 25.25, + "grad_norm_var": 3.7864583333333335, + "learning_rate": 7.7429255752411e-05, + "loss": 6.5349, + "loss/crossentropy": 1.4500753730535507, + "loss/hidden": 3.41796875, + "loss/jsd": 0.0, + "loss/logits": 0.1507728062570095, + "step": 1892 + }, + { + "epoch": 0.3155, + "grad_norm": 30.625, + "grad_norm_var": 3.6655598958333333, + "learning_rate": 7.740736308502938e-05, + "loss": 6.5843, + "loss/crossentropy": 1.6536575853824615, + "loss/hidden": 3.1015625, + "loss/jsd": 0.0, + "loss/logits": 0.14045970141887665, + "step": 1893 + }, + { + "epoch": 0.31566666666666665, + "grad_norm": 30.625, + "grad_norm_var": 3.939583333333333, + "learning_rate": 7.738546290376373e-05, + "loss": 7.2277, + "loss/crossentropy": 1.5449070632457733, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.19420025497674942, + "step": 1894 + }, + { + "epoch": 0.31583333333333335, + "grad_norm": 31.375, + "grad_norm_var": 4.40625, + "learning_rate": 7.736355521461811e-05, + "loss": 7.0307, + "loss/crossentropy": 1.3559617400169373, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.11303997971117496, + "step": 1895 + }, + { + "epoch": 0.316, + "grad_norm": 29.0, + "grad_norm_var": 4.20625, + "learning_rate": 7.734164002359863e-05, + "loss": 6.979, + "loss/crossentropy": 1.6296832859516144, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.15469217486679554, + "step": 1896 + }, + { + "epoch": 0.31616666666666665, + "grad_norm": 29.75, + "grad_norm_var": 4.222330729166667, + "learning_rate": 7.731971733671346e-05, + "loss": 7.1481, + "loss/crossentropy": 1.4442989230155945, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.15145175904035568, + "step": 1897 + }, + { + "epoch": 0.31633333333333336, + "grad_norm": 27.0, + "grad_norm_var": 4.1541015625, + "learning_rate": 7.729778715997284e-05, + "loss": 7.1184, + "loss/crossentropy": 1.3691516071557999, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14277916587889194, + "step": 1898 + }, + { + "epoch": 0.3165, + "grad_norm": 29.375, + "grad_norm_var": 4.01640625, + "learning_rate": 7.727584949938907e-05, + "loss": 7.1911, + "loss/crossentropy": 1.8479988873004913, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1650102473795414, + "step": 1899 + }, + { + "epoch": 0.31666666666666665, + "grad_norm": 28.25, + "grad_norm_var": 3.8072265625, + "learning_rate": 7.725390436097643e-05, + "loss": 7.0348, + "loss/crossentropy": 1.6918924301862717, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1792307198047638, + "step": 1900 + }, + { + "epoch": 0.31683333333333336, + "grad_norm": 27.75, + "grad_norm_var": 3.808333333333333, + "learning_rate": 7.723195175075136e-05, + "loss": 6.7804, + "loss/crossentropy": 1.537046879529953, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.14605162106454372, + "step": 1901 + }, + { + "epoch": 0.317, + "grad_norm": 32.0, + "grad_norm_var": 3.443489583333333, + "learning_rate": 7.720999167473227e-05, + "loss": 7.1965, + "loss/crossentropy": 2.006430447101593, + "loss/hidden": 3.46484375, + "loss/jsd": 0.0, + "loss/logits": 0.18422998115420341, + "step": 1902 + }, + { + "epoch": 0.31716666666666665, + "grad_norm": 30.0, + "grad_norm_var": 3.4546223958333333, + "learning_rate": 7.718802413893963e-05, + "loss": 6.7879, + "loss/crossentropy": 1.7092276513576508, + "loss/hidden": 3.60546875, + "loss/jsd": 0.0, + "loss/logits": 0.19111250340938568, + "step": 1903 + }, + { + "epoch": 0.31733333333333336, + "grad_norm": 28.875, + "grad_norm_var": 3.4546223958333333, + "learning_rate": 7.716604914939598e-05, + "loss": 7.1008, + "loss/crossentropy": 1.9587385058403015, + "loss/hidden": 3.5703125, + "loss/jsd": 0.0, + "loss/logits": 0.2650653049349785, + "step": 1904 + }, + { + "epoch": 0.3175, + "grad_norm": 28.25, + "grad_norm_var": 3.376822916666667, + "learning_rate": 7.714406671212589e-05, + "loss": 6.848, + "loss/crossentropy": 2.069043219089508, + "loss/hidden": 3.22265625, + "loss/jsd": 0.0, + "loss/logits": 0.1532590314745903, + "step": 1905 + }, + { + "epoch": 0.31766666666666665, + "grad_norm": 28.0, + "grad_norm_var": 3.3427083333333334, + "learning_rate": 7.712207683315594e-05, + "loss": 6.7033, + "loss/crossentropy": 1.9057554602622986, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.16242307424545288, + "step": 1906 + }, + { + "epoch": 0.31783333333333336, + "grad_norm": 28.0, + "grad_norm_var": 2.9593098958333335, + "learning_rate": 7.710007951851481e-05, + "loss": 6.8823, + "loss/crossentropy": 1.3203213214874268, + "loss/hidden": 3.42578125, + "loss/jsd": 0.0, + "loss/logits": 0.2788276895880699, + "step": 1907 + }, + { + "epoch": 0.318, + "grad_norm": 26.5, + "grad_norm_var": 2.4306640625, + "learning_rate": 7.707807477423319e-05, + "loss": 6.729, + "loss/crossentropy": 1.7957911789417267, + "loss/hidden": 3.54296875, + "loss/jsd": 0.0, + "loss/logits": 0.14845603704452515, + "step": 1908 + }, + { + "epoch": 0.31816666666666665, + "grad_norm": 30.125, + "grad_norm_var": 2.3436848958333334, + "learning_rate": 7.705606260634379e-05, + "loss": 7.045, + "loss/crossentropy": 1.6333225816488266, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.17810802906751633, + "step": 1909 + }, + { + "epoch": 0.31833333333333336, + "grad_norm": 32.75, + "grad_norm_var": 3.0708333333333333, + "learning_rate": 7.703404302088138e-05, + "loss": 6.6415, + "loss/crossentropy": 2.0423670411109924, + "loss/hidden": 3.37109375, + "loss/jsd": 0.0, + "loss/logits": 0.1727237943559885, + "step": 1910 + }, + { + "epoch": 0.3185, + "grad_norm": 29.625, + "grad_norm_var": 2.751822916666667, + "learning_rate": 7.701201602388276e-05, + "loss": 7.0141, + "loss/crossentropy": 1.8547867238521576, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.2650393471121788, + "step": 1911 + }, + { + "epoch": 0.31866666666666665, + "grad_norm": 28.0, + "grad_norm_var": 2.8247395833333333, + "learning_rate": 7.698998162138673e-05, + "loss": 6.7923, + "loss/crossentropy": 1.812669113278389, + "loss/hidden": 3.078125, + "loss/jsd": 0.0, + "loss/logits": 0.1441791821271181, + "step": 1912 + }, + { + "epoch": 0.31883333333333336, + "grad_norm": 26.375, + "grad_norm_var": 3.206184895833333, + "learning_rate": 7.696793981943417e-05, + "loss": 7.0773, + "loss/crossentropy": 2.0258938521146774, + "loss/hidden": 3.4765625, + "loss/jsd": 0.0, + "loss/logits": 0.2104419209063053, + "step": 1913 + }, + { + "epoch": 0.319, + "grad_norm": 28.375, + "grad_norm_var": 2.9934895833333335, + "learning_rate": 7.694589062406796e-05, + "loss": 6.9504, + "loss/crossentropy": 1.8064450919628143, + "loss/hidden": 3.234375, + "loss/jsd": 0.0, + "loss/logits": 0.14459712617099285, + "step": 1914 + }, + { + "epoch": 0.31916666666666665, + "grad_norm": 29.125, + "grad_norm_var": 2.98125, + "learning_rate": 7.692383404133301e-05, + "loss": 7.6258, + "loss/crossentropy": 1.7547499984502792, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16656643897294998, + "step": 1915 + }, + { + "epoch": 0.31933333333333336, + "grad_norm": 26.125, + "grad_norm_var": 3.440559895833333, + "learning_rate": 7.690177007727625e-05, + "loss": 6.794, + "loss/crossentropy": 1.5933746993541718, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.16254575178027153, + "step": 1916 + }, + { + "epoch": 0.3195, + "grad_norm": 25.5, + "grad_norm_var": 4.054622395833333, + "learning_rate": 7.687969873794667e-05, + "loss": 6.8675, + "loss/crossentropy": 2.262081354856491, + "loss/hidden": 3.3125, + "loss/jsd": 0.0, + "loss/logits": 0.20529960095882416, + "step": 1917 + }, + { + "epoch": 0.31966666666666665, + "grad_norm": 30.5, + "grad_norm_var": 3.5155598958333334, + "learning_rate": 7.685762002939523e-05, + "loss": 6.8656, + "loss/crossentropy": 1.458501249551773, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.13611052371561527, + "step": 1918 + }, + { + "epoch": 0.31983333333333336, + "grad_norm": 28.375, + "grad_norm_var": 3.357291666666667, + "learning_rate": 7.683553395767492e-05, + "loss": 6.7519, + "loss/crossentropy": 2.0998906195163727, + "loss/hidden": 3.12109375, + "loss/jsd": 0.0, + "loss/logits": 0.1625036932528019, + "step": 1919 + }, + { + "epoch": 0.32, + "grad_norm": 30.0, + "grad_norm_var": 3.506705729166667, + "learning_rate": 7.681344052884077e-05, + "loss": 6.8568, + "loss/crossentropy": 1.7492288947105408, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.20232809893786907, + "step": 1920 + }, + { + "epoch": 0.32016666666666665, + "grad_norm": 29.0, + "grad_norm_var": 3.5192057291666665, + "learning_rate": 7.679133974894983e-05, + "loss": 6.705, + "loss/crossentropy": 1.3074803054332733, + "loss/hidden": 3.27734375, + "loss/jsd": 0.0, + "loss/logits": 0.1418884601444006, + "step": 1921 + }, + { + "epoch": 0.32033333333333336, + "grad_norm": 31.75, + "grad_norm_var": 4.136393229166667, + "learning_rate": 7.676923162406115e-05, + "loss": 7.2457, + "loss/crossentropy": 1.7019118815660477, + "loss/hidden": 3.3203125, + "loss/jsd": 0.0, + "loss/logits": 0.18821359053254128, + "step": 1922 + }, + { + "epoch": 0.3205, + "grad_norm": 29.375, + "grad_norm_var": 4.115625, + "learning_rate": 7.674711616023581e-05, + "loss": 7.2184, + "loss/crossentropy": 1.7697814851999283, + "loss/hidden": 3.671875, + "loss/jsd": 0.0, + "loss/logits": 0.22327840328216553, + "step": 1923 + }, + { + "epoch": 0.32066666666666666, + "grad_norm": 25.625, + "grad_norm_var": 4.4369140625, + "learning_rate": 7.672499336353687e-05, + "loss": 6.836, + "loss/crossentropy": 1.687684714794159, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.14532406255602837, + "step": 1924 + }, + { + "epoch": 0.32083333333333336, + "grad_norm": 25.25, + "grad_norm_var": 5.05390625, + "learning_rate": 7.670286324002944e-05, + "loss": 6.8472, + "loss/crossentropy": 1.735940158367157, + "loss/hidden": 3.1484375, + "loss/jsd": 0.0, + "loss/logits": 0.1309076026082039, + "step": 1925 + }, + { + "epoch": 0.321, + "grad_norm": 27.5, + "grad_norm_var": 3.790625, + "learning_rate": 7.668072579578058e-05, + "loss": 6.8334, + "loss/crossentropy": 1.7964033260941505, + "loss/hidden": 3.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.13687119260430336, + "step": 1926 + }, + { + "epoch": 0.32116666666666666, + "grad_norm": 27.75, + "grad_norm_var": 3.6431640625, + "learning_rate": 7.665858103685944e-05, + "loss": 6.7366, + "loss/crossentropy": 1.6139466762542725, + "loss/hidden": 3.140625, + "loss/jsd": 0.0, + "loss/logits": 0.13353602588176727, + "step": 1927 + }, + { + "epoch": 0.32133333333333336, + "grad_norm": 29.125, + "grad_norm_var": 3.71640625, + "learning_rate": 7.663642896933712e-05, + "loss": 7.1254, + "loss/crossentropy": 2.315617620944977, + "loss/hidden": 3.14453125, + "loss/jsd": 0.0, + "loss/logits": 0.17119132354855537, + "step": 1928 + }, + { + "epoch": 0.3215, + "grad_norm": 26.5, + "grad_norm_var": 3.6884765625, + "learning_rate": 7.66142695992867e-05, + "loss": 6.7417, + "loss/crossentropy": 1.6333139091730118, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.16588200815021992, + "step": 1929 + }, + { + "epoch": 0.32166666666666666, + "grad_norm": 26.0, + "grad_norm_var": 3.959375, + "learning_rate": 7.659210293278334e-05, + "loss": 6.747, + "loss/crossentropy": 1.4016158431768417, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.1492020282894373, + "step": 1930 + }, + { + "epoch": 0.32183333333333336, + "grad_norm": 27.75, + "grad_norm_var": 3.8655598958333335, + "learning_rate": 7.656992897590414e-05, + "loss": 7.0579, + "loss/crossentropy": 1.520734429359436, + "loss/hidden": 3.7578125, + "loss/jsd": 0.0, + "loss/logits": 0.24859199672937393, + "step": 1931 + }, + { + "epoch": 0.322, + "grad_norm": 30.75, + "grad_norm_var": 4.118489583333333, + "learning_rate": 7.654774773472823e-05, + "loss": 7.0604, + "loss/crossentropy": 1.949371337890625, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.23103799670934677, + "step": 1932 + }, + { + "epoch": 0.32216666666666666, + "grad_norm": 28.75, + "grad_norm_var": 3.620833333333333, + "learning_rate": 7.65255592153367e-05, + "loss": 6.8736, + "loss/crossentropy": 1.5065647065639496, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.1492113471031189, + "step": 1933 + }, + { + "epoch": 0.32233333333333336, + "grad_norm": 28.5, + "grad_norm_var": 3.3041666666666667, + "learning_rate": 7.650336342381269e-05, + "loss": 6.8634, + "loss/crossentropy": 1.7050878405570984, + "loss/hidden": 3.5234375, + "loss/jsd": 0.0, + "loss/logits": 0.19006743282079697, + "step": 1934 + }, + { + "epoch": 0.3225, + "grad_norm": 28.375, + "grad_norm_var": 3.3041666666666667, + "learning_rate": 7.648116036624126e-05, + "loss": 6.8793, + "loss/crossentropy": 1.845796674489975, + "loss/hidden": 3.44921875, + "loss/jsd": 0.0, + "loss/logits": 0.17243629321455956, + "step": 1935 + }, + { + "epoch": 0.32266666666666666, + "grad_norm": 26.5, + "grad_norm_var": 3.253125, + "learning_rate": 7.645895004870954e-05, + "loss": 6.8049, + "loss/crossentropy": 1.1808339804410934, + "loss/hidden": 3.66015625, + "loss/jsd": 0.0, + "loss/logits": 0.1586676798760891, + "step": 1936 + }, + { + "epoch": 0.32283333333333336, + "grad_norm": 27.5, + "grad_norm_var": 3.2, + "learning_rate": 7.643673247730658e-05, + "loss": 6.8314, + "loss/crossentropy": 1.37615168094635, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.15130289644002914, + "step": 1937 + }, + { + "epoch": 0.323, + "grad_norm": 26.25, + "grad_norm_var": 2.294791666666667, + "learning_rate": 7.64145076581235e-05, + "loss": 6.912, + "loss/crossentropy": 1.5464135706424713, + "loss/hidden": 3.84765625, + "loss/jsd": 0.0, + "loss/logits": 0.2024979665875435, + "step": 1938 + }, + { + "epoch": 0.32316666666666666, + "grad_norm": 26.0, + "grad_norm_var": 2.2051432291666666, + "learning_rate": 7.639227559725332e-05, + "loss": 6.6962, + "loss/crossentropy": 1.2784469723701477, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.1756535191088915, + "step": 1939 + }, + { + "epoch": 0.3233333333333333, + "grad_norm": 27.25, + "grad_norm_var": 1.9893229166666666, + "learning_rate": 7.637003630079111e-05, + "loss": 7.1366, + "loss/crossentropy": 1.7384035140275955, + "loss/hidden": 3.38671875, + "loss/jsd": 0.0, + "loss/logits": 0.13437513262033463, + "step": 1940 + }, + { + "epoch": 0.3235, + "grad_norm": 27.25, + "grad_norm_var": 1.6434895833333334, + "learning_rate": 7.634778977483389e-05, + "loss": 6.8072, + "loss/crossentropy": 1.5444829165935516, + "loss/hidden": 3.56640625, + "loss/jsd": 0.0, + "loss/logits": 0.21928342804312706, + "step": 1941 + }, + { + "epoch": 0.32366666666666666, + "grad_norm": 25.5, + "grad_norm_var": 1.92265625, + "learning_rate": 7.632553602548065e-05, + "loss": 6.6469, + "loss/crossentropy": 1.824027806520462, + "loss/hidden": 3.23828125, + "loss/jsd": 0.0, + "loss/logits": 0.1451159343123436, + "step": 1942 + }, + { + "epoch": 0.3238333333333333, + "grad_norm": 41.75, + "grad_norm_var": 14.668489583333333, + "learning_rate": 7.630327505883242e-05, + "loss": 7.3043, + "loss/crossentropy": 1.9817378222942352, + "loss/hidden": 3.70703125, + "loss/jsd": 0.0, + "loss/logits": 0.2217976227402687, + "step": 1943 + }, + { + "epoch": 0.324, + "grad_norm": 35.5, + "grad_norm_var": 17.859309895833334, + "learning_rate": 7.628100688099215e-05, + "loss": 6.8794, + "loss/crossentropy": 1.9806363582611084, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.2619929276406765, + "step": 1944 + }, + { + "epoch": 0.32416666666666666, + "grad_norm": 29.625, + "grad_norm_var": 17.52890625, + "learning_rate": 7.62587314980648e-05, + "loss": 7.0545, + "loss/crossentropy": 1.897900551557541, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.24334151297807693, + "step": 1945 + }, + { + "epoch": 0.3243333333333333, + "grad_norm": 27.375, + "grad_norm_var": 17.1056640625, + "learning_rate": 7.623644891615727e-05, + "loss": 6.9264, + "loss/crossentropy": 1.8679122924804688, + "loss/hidden": 3.1328125, + "loss/jsd": 0.0, + "loss/logits": 0.14723801240324974, + "step": 1946 + }, + { + "epoch": 0.3245, + "grad_norm": 25.875, + "grad_norm_var": 17.64765625, + "learning_rate": 7.621415914137846e-05, + "loss": 7.1159, + "loss/crossentropy": 1.3908490687608719, + "loss/hidden": 3.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.12980337999761105, + "step": 1947 + }, + { + "epoch": 0.32466666666666666, + "grad_norm": 26.0, + "grad_norm_var": 17.9, + "learning_rate": 7.619186217983924e-05, + "loss": 7.1713, + "loss/crossentropy": 2.16692191362381, + "loss/hidden": 3.515625, + "loss/jsd": 0.0, + "loss/logits": 0.2991831377148628, + "step": 1948 + }, + { + "epoch": 0.3248333333333333, + "grad_norm": 29.0, + "grad_norm_var": 17.908072916666665, + "learning_rate": 7.616955803765249e-05, + "loss": 6.9156, + "loss/crossentropy": 1.8130050897598267, + "loss/hidden": 3.10546875, + "loss/jsd": 0.0, + "loss/logits": 0.14834078960120678, + "step": 1949 + }, + { + "epoch": 0.325, + "grad_norm": 28.375, + "grad_norm_var": 17.911393229166666, + "learning_rate": 7.614724672093296e-05, + "loss": 6.89, + "loss/crossentropy": 1.773101955652237, + "loss/hidden": 3.4375, + "loss/jsd": 0.0, + "loss/logits": 0.18298736214637756, + "step": 1950 + }, + { + "epoch": 0.32516666666666666, + "grad_norm": 27.25, + "grad_norm_var": 18.029166666666665, + "learning_rate": 7.612492823579745e-05, + "loss": 6.7182, + "loss/crossentropy": 1.7464256584644318, + "loss/hidden": 3.703125, + "loss/jsd": 0.0, + "loss/logits": 0.3043161705136299, + "step": 1951 + }, + { + "epoch": 0.3253333333333333, + "grad_norm": 29.375, + "grad_norm_var": 17.755143229166666, + "learning_rate": 7.61026025883647e-05, + "loss": 6.8968, + "loss/crossentropy": 1.490617960691452, + "loss/hidden": 3.453125, + "loss/jsd": 0.0, + "loss/logits": 0.16207384690642357, + "step": 1952 + }, + { + "epoch": 0.3255, + "grad_norm": 27.25, + "grad_norm_var": 17.800455729166668, + "learning_rate": 7.60802697847554e-05, + "loss": 6.8648, + "loss/crossentropy": 2.0520599484443665, + "loss/hidden": 3.24609375, + "loss/jsd": 0.0, + "loss/logits": 0.15137195214629173, + "step": 1953 + }, + { + "epoch": 0.32566666666666666, + "grad_norm": 29.5, + "grad_norm_var": 17.387434895833334, + "learning_rate": 7.605792983109222e-05, + "loss": 7.2909, + "loss/crossentropy": 1.2635005861520767, + "loss/hidden": 3.203125, + "loss/jsd": 0.0, + "loss/logits": 0.11748159304261208, + "step": 1954 + }, + { + "epoch": 0.3258333333333333, + "grad_norm": 26.5, + "grad_norm_var": 17.207747395833334, + "learning_rate": 7.60355827334998e-05, + "loss": 6.9264, + "loss/crossentropy": 1.6250987499952316, + "loss/hidden": 3.19140625, + "loss/jsd": 0.0, + "loss/logits": 0.1348421834409237, + "step": 1955 + }, + { + "epoch": 0.326, + "grad_norm": 28.0, + "grad_norm_var": 17.071809895833333, + "learning_rate": 7.60132284981047e-05, + "loss": 7.0407, + "loss/crossentropy": 1.3203220516443253, + "loss/hidden": 3.4140625, + "loss/jsd": 0.0, + "loss/logits": 0.16120794974267483, + "step": 1956 + }, + { + "epoch": 0.32616666666666666, + "grad_norm": 40.25, + "grad_norm_var": 24.587434895833333, + "learning_rate": 7.599086713103547e-05, + "loss": 7.1496, + "loss/crossentropy": 2.502292364835739, + "loss/hidden": 3.0859375, + "loss/jsd": 0.0, + "loss/logits": 0.16814671456813812, + "step": 1957 + }, + { + "epoch": 0.3263333333333333, + "grad_norm": 32.75, + "grad_norm_var": 23.6962890625, + "learning_rate": 7.596849863842263e-05, + "loss": 6.4611, + "loss/crossentropy": 1.696190595626831, + "loss/hidden": 3.125, + "loss/jsd": 0.0, + "loss/logits": 0.1337653361260891, + "step": 1958 + }, + { + "epoch": 0.3265, + "grad_norm": 33.0, + "grad_norm_var": 15.092122395833334, + "learning_rate": 7.594612302639859e-05, + "loss": 7.0354, + "loss/crossentropy": 1.6811990141868591, + "loss/hidden": 3.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.1704744752496481, + "step": 1959 + }, + { + "epoch": 0.32666666666666666, + "grad_norm": 31.75, + "grad_norm_var": 13.084309895833334, + "learning_rate": 7.592374030109777e-05, + "loss": 6.8049, + "loss/crossentropy": 1.4199679493904114, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.13939975388348103, + "step": 1960 + }, + { + "epoch": 0.3268333333333333, + "grad_norm": 29.25, + "grad_norm_var": 13.086458333333333, + "learning_rate": 7.590135046865651e-05, + "loss": 7.0515, + "loss/crossentropy": 1.9711971879005432, + "loss/hidden": 3.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.1594713032245636, + "step": 1961 + }, + { + "epoch": 0.327, + "grad_norm": 25.625, + "grad_norm_var": 13.76640625, + "learning_rate": 7.587895353521314e-05, + "loss": 7.0146, + "loss/crossentropy": 1.7343676090240479, + "loss/hidden": 3.44140625, + "loss/jsd": 0.0, + "loss/logits": 0.18260842934250832, + "step": 1962 + }, + { + "epoch": 0.32716666666666666, + "grad_norm": 37.25, + "grad_norm_var": 16.568684895833332, + "learning_rate": 7.585654950690786e-05, + "loss": 6.9841, + "loss/crossentropy": 1.4708878099918365, + "loss/hidden": 3.59765625, + "loss/jsd": 0.0, + "loss/logits": 0.1759204864501953, + "step": 1963 + }, + { + "epoch": 0.3273333333333333, + "grad_norm": 29.25, + "grad_norm_var": 15.4650390625, + "learning_rate": 7.58341383898829e-05, + "loss": 6.7756, + "loss/crossentropy": 1.9903148412704468, + "loss/hidden": 3.296875, + "loss/jsd": 0.0, + "loss/logits": 0.17452102340757847, + "step": 1964 + }, + { + "epoch": 0.3275, + "grad_norm": 27.625, + "grad_norm_var": 15.816666666666666, + "learning_rate": 7.581172019028238e-05, + "loss": 7.214, + "loss/crossentropy": 1.9448735415935516, + "loss/hidden": 3.65234375, + "loss/jsd": 0.0, + "loss/logits": 0.22730185091495514, + "step": 1965 + }, + { + "epoch": 0.32766666666666666, + "grad_norm": 26.25, + "grad_norm_var": 16.612434895833335, + "learning_rate": 7.578929491425238e-05, + "loss": 6.7937, + "loss/crossentropy": 1.6424171030521393, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.14761119335889816, + "step": 1966 + }, + { + "epoch": 0.3278333333333333, + "grad_norm": 43.5, + "grad_norm_var": 27.039518229166667, + "learning_rate": 7.576686256794091e-05, + "loss": 7.3124, + "loss/crossentropy": 1.8280293941497803, + "loss/hidden": 3.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.20526448637247086, + "step": 1967 + }, + { + "epoch": 0.328, + "grad_norm": 28.25, + "grad_norm_var": 27.372916666666665, + "learning_rate": 7.574442315749793e-05, + "loss": 6.8749, + "loss/crossentropy": 1.377597153186798, + "loss/hidden": 3.34375, + "loss/jsd": 0.0, + "loss/logits": 0.14071182627230883, + "step": 1968 + }, + { + "epoch": 0.32816666666666666, + "grad_norm": 35.0, + "grad_norm_var": 27.251822916666665, + "learning_rate": 7.572197668907532e-05, + "loss": 6.492, + "loss/crossentropy": 1.859922617673874, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.13686381466686726, + "step": 1969 + }, + { + "epoch": 0.3283333333333333, + "grad_norm": 33.0, + "grad_norm_var": 27.09140625, + "learning_rate": 7.569952316882694e-05, + "loss": 6.7999, + "loss/crossentropy": 1.4993602633476257, + "loss/hidden": 3.609375, + "loss/jsd": 0.0, + "loss/logits": 0.17878538742661476, + "step": 1970 + }, + { + "epoch": 0.3285, + "grad_norm": 33.25, + "grad_norm_var": 25.25625, + "learning_rate": 7.567706260290851e-05, + "loss": 7.0913, + "loss/crossentropy": 1.3628067672252655, + "loss/hidden": 3.859375, + "loss/jsd": 0.0, + "loss/logits": 0.14887463301420212, + "step": 1971 + }, + { + "epoch": 0.32866666666666666, + "grad_norm": 29.875, + "grad_norm_var": 24.4447265625, + "learning_rate": 7.565459499747775e-05, + "loss": 7.0248, + "loss/crossentropy": 1.9492396712303162, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.21044185012578964, + "step": 1972 + }, + { + "epoch": 0.3288333333333333, + "grad_norm": 27.625, + "grad_norm_var": 20.926822916666666, + "learning_rate": 7.563212035869425e-05, + "loss": 6.9809, + "loss/crossentropy": 1.8395329862833023, + "loss/hidden": 3.3046875, + "loss/jsd": 0.0, + "loss/logits": 0.16357857547700405, + "step": 1973 + }, + { + "epoch": 0.329, + "grad_norm": 27.75, + "grad_norm_var": 21.624739583333334, + "learning_rate": 7.56096386927196e-05, + "loss": 7.0102, + "loss/crossentropy": 1.7907786071300507, + "loss/hidden": 3.45703125, + "loss/jsd": 0.0, + "loss/logits": 0.18460842221975327, + "step": 1974 + }, + { + "epoch": 0.32916666666666666, + "grad_norm": 28.75, + "grad_norm_var": 21.7, + "learning_rate": 7.558715000571726e-05, + "loss": 7.0319, + "loss/crossentropy": 1.6687232851982117, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.2605494260787964, + "step": 1975 + }, + { + "epoch": 0.3293333333333333, + "grad_norm": 27.125, + "grad_norm_var": 22.497330729166666, + "learning_rate": 7.55646543038526e-05, + "loss": 6.4879, + "loss/crossentropy": 1.8237475007772446, + "loss/hidden": 3.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.1547717321664095, + "step": 1976 + }, + { + "epoch": 0.3295, + "grad_norm": 27.25, + "grad_norm_var": 23.103580729166666, + "learning_rate": 7.5542151593293e-05, + "loss": 7.1899, + "loss/crossentropy": 1.8912782967090607, + "loss/hidden": 3.328125, + "loss/jsd": 0.0, + "loss/logits": 0.19629128649830818, + "step": 1977 + }, + { + "epoch": 0.32966666666666666, + "grad_norm": 28.625, + "grad_norm_var": 21.731705729166666, + "learning_rate": 7.551964188020766e-05, + "loss": 6.9527, + "loss/crossentropy": 1.7356953918933868, + "loss/hidden": 3.4921875, + "loss/jsd": 0.0, + "loss/logits": 0.2349882610142231, + "step": 1978 + }, + { + "epoch": 0.3298333333333333, + "grad_norm": 26.875, + "grad_norm_var": 19.327083333333334, + "learning_rate": 7.549712517076777e-05, + "loss": 7.1087, + "loss/crossentropy": 1.9298615157604218, + "loss/hidden": 3.15625, + "loss/jsd": 0.0, + "loss/logits": 0.14285527169704437, + "step": 1979 + }, + { + "epoch": 0.33, + "grad_norm": 26.375, + "grad_norm_var": 20.131184895833332, + "learning_rate": 7.547460147114641e-05, + "loss": 7.0014, + "loss/crossentropy": 1.7447529137134552, + "loss/hidden": 3.33984375, + "loss/jsd": 0.0, + "loss/logits": 0.18788661807775497, + "step": 1980 + }, + { + "epoch": 0.33016666666666666, + "grad_norm": 40.25, + "grad_norm_var": 26.39765625, + "learning_rate": 7.545207078751857e-05, + "loss": 7.2777, + "loss/crossentropy": 2.3176685869693756, + "loss/hidden": 3.7421875, + "loss/jsd": 0.0, + "loss/logits": 0.43646563962101936, + "step": 1981 + }, + { + "epoch": 0.3303333333333333, + "grad_norm": 32.25, + "grad_norm_var": 25.16015625, + "learning_rate": 7.542953312606117e-05, + "loss": 7.4115, + "loss/crossentropy": 1.1465453654527664, + "loss/hidden": 3.30078125, + "loss/jsd": 0.0, + "loss/logits": 0.17520064301788807, + "step": 1982 + }, + { + "epoch": 0.3305, + "grad_norm": 31.125, + "grad_norm_var": 14.0806640625, + "learning_rate": 7.540698849295305e-05, + "loss": 7.211, + "loss/crossentropy": 1.9278732538223267, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1668613739311695, + "step": 1983 + }, + { + "epoch": 0.33066666666666666, + "grad_norm": 29.25, + "grad_norm_var": 13.881705729166667, + "learning_rate": 7.538443689437492e-05, + "loss": 7.1892, + "loss/crossentropy": 1.958818107843399, + "loss/hidden": 3.79296875, + "loss/jsd": 0.0, + "loss/logits": 0.28305254876613617, + "step": 1984 + }, + { + "epoch": 0.3308333333333333, + "grad_norm": 27.75, + "grad_norm_var": 12.5978515625, + "learning_rate": 7.536187833650947e-05, + "loss": 6.5296, + "loss/crossentropy": 1.821618765592575, + "loss/hidden": 3.359375, + "loss/jsd": 0.0, + "loss/logits": 0.1746337190270424, + "step": 1985 + }, + { + "epoch": 0.331, + "grad_norm": 27.125, + "grad_norm_var": 12.264322916666666, + "learning_rate": 7.53393128255412e-05, + "loss": 6.7454, + "loss/crossentropy": 1.7255724370479584, + "loss/hidden": 3.15234375, + "loss/jsd": 0.0, + "loss/logits": 0.12872214615345, + "step": 1986 + }, + { + "epoch": 0.33116666666666666, + "grad_norm": 28.125, + "grad_norm_var": 11.311393229166667, + "learning_rate": 7.531674036765662e-05, + "loss": 6.9214, + "loss/crossentropy": 1.4453624933958054, + "loss/hidden": 3.40234375, + "loss/jsd": 0.0, + "loss/logits": 0.1719880998134613, + "step": 1987 + }, + { + "epoch": 0.3313333333333333, + "grad_norm": 26.875, + "grad_norm_var": 11.577018229166667, + "learning_rate": 7.52941609690441e-05, + "loss": 7.2681, + "loss/crossentropy": 1.7877110838890076, + "loss/hidden": 3.51171875, + "loss/jsd": 0.0, + "loss/logits": 0.20354793220758438, + "step": 1988 + }, + { + "epoch": 0.3315, + "grad_norm": 28.875, + "grad_norm_var": 11.454622395833333, + "learning_rate": 7.52715746358939e-05, + "loss": 6.8813, + "loss/crossentropy": 1.6874558627605438, + "loss/hidden": 3.421875, + "loss/jsd": 0.0, + "loss/logits": 0.16517934203147888, + "step": 1989 + }, + { + "epoch": 0.33166666666666667, + "grad_norm": 27.25, + "grad_norm_var": 11.555143229166667, + "learning_rate": 7.524898137439814e-05, + "loss": 7.0432, + "loss/crossentropy": 1.3462169617414474, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.23449290171265602, + "step": 1990 + }, + { + "epoch": 0.3318333333333333, + "grad_norm": 27.75, + "grad_norm_var": 11.649934895833333, + "learning_rate": 7.522638119075096e-05, + "loss": 6.974, + "loss/crossentropy": 1.558683604001999, + "loss/hidden": 3.68359375, + "loss/jsd": 0.0, + "loss/logits": 0.2526928149163723, + "step": 1991 + }, + { + "epoch": 0.332, + "grad_norm": 27.25, + "grad_norm_var": 11.620833333333334, + "learning_rate": 7.520377409114831e-05, + "loss": 7.0326, + "loss/crossentropy": 1.7414982914924622, + "loss/hidden": 3.29296875, + "loss/jsd": 0.0, + "loss/logits": 0.1637286227196455, + "step": 1992 + }, + { + "epoch": 0.33216666666666667, + "grad_norm": 34.5, + "grad_norm_var": 13.274739583333334, + "learning_rate": 7.518116008178805e-05, + "loss": 6.6616, + "loss/crossentropy": 1.0742476731538773, + "loss/hidden": 3.8515625, + "loss/jsd": 0.0, + "loss/logits": 0.1765630804002285, + "step": 1993 + }, + { + "epoch": 0.3323333333333333, + "grad_norm": 31.0, + "grad_norm_var": 13.384830729166667, + "learning_rate": 7.515853916886993e-05, + "loss": 6.7673, + "loss/crossentropy": 1.6484030038118362, + "loss/hidden": 3.484375, + "loss/jsd": 0.0, + "loss/logits": 0.1557282730937004, + "step": 1994 + }, + { + "epoch": 0.3325, + "grad_norm": 31.125, + "grad_norm_var": 13.0041015625, + "learning_rate": 7.513591135859561e-05, + "loss": 7.0006, + "loss/crossentropy": 1.8683974295854568, + "loss/hidden": 3.375, + "loss/jsd": 0.0, + "loss/logits": 0.1803109608590603, + "step": 1995 + }, + { + "epoch": 0.33266666666666667, + "grad_norm": 29.25, + "grad_norm_var": 12.205989583333333, + "learning_rate": 7.511327665716863e-05, + "loss": 7.0199, + "loss/crossentropy": 2.0102295577526093, + "loss/hidden": 3.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.19259504601359367, + "step": 1996 + }, + { + "epoch": 0.3328333333333333, + "grad_norm": 27.0, + "grad_norm_var": 5.042708333333334, + "learning_rate": 7.509063507079443e-05, + "loss": 6.9124, + "loss/crossentropy": 1.9524219632148743, + "loss/hidden": 3.25, + "loss/jsd": 0.0, + "loss/logits": 0.1803882084786892, + "step": 1997 + }, + { + "epoch": 0.333, + "grad_norm": 29.5, + "grad_norm_var": 4.380989583333333, + "learning_rate": 7.506798660568031e-05, + "loss": 7.1799, + "loss/crossentropy": 1.6741455495357513, + "loss/hidden": 3.3671875, + "loss/jsd": 0.0, + "loss/logits": 0.15316328406333923, + "step": 1998 + }, + { + "epoch": 0.33316666666666667, + "grad_norm": 27.375, + "grad_norm_var": 4.189583333333333, + "learning_rate": 7.50453312680355e-05, + "loss": 6.8463, + "loss/crossentropy": 1.2846168503165245, + "loss/hidden": 3.41015625, + "loss/jsd": 0.0, + "loss/logits": 0.16056417115032673, + "step": 1999 + }, + { + "epoch": 0.3333333333333333, + "grad_norm": 26.625, + "grad_norm_var": 4.445247395833333, + "learning_rate": 7.502266906407107e-05, + "loss": 6.4687, + "loss/crossentropy": 1.4025170803070068, + "loss/hidden": 3.23046875, + "loss/jsd": 0.0, + "loss/logits": 0.1475424598902464, + "step": 2000 + } + ], + "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": 5.715019849269248e+18, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}