diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,4245 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.151694459386767, + "eval_steps": 2000, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 0.9492120146751404, + "learning_rate": 1.0000000000000002e-06, + "loss": 0.9769, + "step": 10 + }, + { + "epoch": 0.01, + "grad_norm": 1.344916582107544, + "learning_rate": 2.0000000000000003e-06, + "loss": 1.0718, + "step": 20 + }, + { + "epoch": 0.01, + "grad_norm": 0.6680417060852051, + "learning_rate": 3e-06, + "loss": 0.8901, + "step": 30 + }, + { + "epoch": 0.01, + "grad_norm": 0.8369797468185425, + "learning_rate": 4.000000000000001e-06, + "loss": 0.9398, + "step": 40 + }, + { + "epoch": 0.02, + "grad_norm": 0.5738756656646729, + "learning_rate": 5e-06, + "loss": 0.9152, + "step": 50 + }, + { + "epoch": 0.02, + "grad_norm": 1.028475284576416, + "learning_rate": 6e-06, + "loss": 0.849, + "step": 60 + }, + { + "epoch": 0.03, + "grad_norm": 1.2893372774124146, + "learning_rate": 7e-06, + "loss": 0.7312, + "step": 70 + }, + { + "epoch": 0.03, + "grad_norm": 0.8779547810554504, + "learning_rate": 8.000000000000001e-06, + "loss": 0.6707, + "step": 80 + }, + { + "epoch": 0.03, + "grad_norm": 0.8972748517990112, + "learning_rate": 9e-06, + "loss": 0.6413, + "step": 90 + }, + { + "epoch": 0.04, + "grad_norm": 1.505399227142334, + "learning_rate": 1e-05, + "loss": 0.6129, + "step": 100 + }, + { + "epoch": 0.04, + "grad_norm": 0.6442121267318726, + "learning_rate": 9.989898989898991e-06, + "loss": 0.5579, + "step": 110 + }, + { + "epoch": 0.04, + "grad_norm": 0.623290479183197, + "learning_rate": 9.97979797979798e-06, + "loss": 0.6022, + "step": 120 + }, + { + "epoch": 0.05, + "grad_norm": 0.7216657996177673, + "learning_rate": 9.96969696969697e-06, + "loss": 0.5481, + "step": 130 + }, + { + "epoch": 0.05, + "grad_norm": 0.7031328678131104, + "learning_rate": 9.95959595959596e-06, + "loss": 0.5594, + "step": 140 + }, + { + "epoch": 0.05, + "grad_norm": 0.7411965727806091, + "learning_rate": 9.94949494949495e-06, + "loss": 0.6241, + "step": 150 + }, + { + "epoch": 0.06, + "grad_norm": 0.8735277652740479, + "learning_rate": 9.939393939393939e-06, + "loss": 0.498, + "step": 160 + }, + { + "epoch": 0.06, + "grad_norm": 1.1062073707580566, + "learning_rate": 9.92929292929293e-06, + "loss": 0.6463, + "step": 170 + }, + { + "epoch": 0.06, + "grad_norm": 0.7930333614349365, + "learning_rate": 9.91919191919192e-06, + "loss": 0.6231, + "step": 180 + }, + { + "epoch": 0.07, + "grad_norm": 0.8774802684783936, + "learning_rate": 9.90909090909091e-06, + "loss": 0.5895, + "step": 190 + }, + { + "epoch": 0.07, + "grad_norm": 0.929542064666748, + "learning_rate": 9.8989898989899e-06, + "loss": 0.632, + "step": 200 + }, + { + "epoch": 0.08, + "grad_norm": 0.6024735569953918, + "learning_rate": 9.88888888888889e-06, + "loss": 0.5682, + "step": 210 + }, + { + "epoch": 0.08, + "grad_norm": 0.5887441635131836, + "learning_rate": 9.87878787878788e-06, + "loss": 0.5192, + "step": 220 + }, + { + "epoch": 0.08, + "grad_norm": 0.7813496589660645, + "learning_rate": 9.86868686868687e-06, + "loss": 0.5841, + "step": 230 + }, + { + "epoch": 0.09, + "grad_norm": 0.5949407815933228, + "learning_rate": 9.85858585858586e-06, + "loss": 0.5263, + "step": 240 + }, + { + "epoch": 0.09, + "grad_norm": 0.8114556670188904, + "learning_rate": 9.84848484848485e-06, + "loss": 0.5513, + "step": 250 + }, + { + "epoch": 0.09, + "grad_norm": 0.7692855596542358, + "learning_rate": 9.838383838383839e-06, + "loss": 0.5217, + "step": 260 + }, + { + "epoch": 0.1, + "grad_norm": 0.8319826126098633, + "learning_rate": 9.828282828282829e-06, + "loss": 0.4386, + "step": 270 + }, + { + "epoch": 0.1, + "grad_norm": 0.6725042462348938, + "learning_rate": 9.81818181818182e-06, + "loss": 0.4919, + "step": 280 + }, + { + "epoch": 0.1, + "grad_norm": 0.779315173625946, + "learning_rate": 9.80808080808081e-06, + "loss": 0.5281, + "step": 290 + }, + { + "epoch": 0.11, + "grad_norm": 0.8005223274230957, + "learning_rate": 9.797979797979798e-06, + "loss": 0.5206, + "step": 300 + }, + { + "epoch": 0.11, + "grad_norm": 0.6395801901817322, + "learning_rate": 9.787878787878788e-06, + "loss": 0.474, + "step": 310 + }, + { + "epoch": 0.11, + "grad_norm": 1.1016992330551147, + "learning_rate": 9.777777777777779e-06, + "loss": 0.5403, + "step": 320 + }, + { + "epoch": 0.12, + "grad_norm": 1.395189881324768, + "learning_rate": 9.767676767676767e-06, + "loss": 0.5181, + "step": 330 + }, + { + "epoch": 0.12, + "grad_norm": 0.801499605178833, + "learning_rate": 9.757575757575758e-06, + "loss": 0.5296, + "step": 340 + }, + { + "epoch": 0.13, + "grad_norm": 0.7606889605522156, + "learning_rate": 9.747474747474748e-06, + "loss": 0.5406, + "step": 350 + }, + { + "epoch": 0.13, + "grad_norm": 0.580170750617981, + "learning_rate": 9.737373737373738e-06, + "loss": 0.541, + "step": 360 + }, + { + "epoch": 0.13, + "grad_norm": 0.6730871796607971, + "learning_rate": 9.727272727272728e-06, + "loss": 0.5665, + "step": 370 + }, + { + "epoch": 0.14, + "grad_norm": 1.240430474281311, + "learning_rate": 9.717171717171719e-06, + "loss": 0.5148, + "step": 380 + }, + { + "epoch": 0.14, + "grad_norm": 0.9439683556556702, + "learning_rate": 9.707070707070709e-06, + "loss": 0.513, + "step": 390 + }, + { + "epoch": 0.14, + "grad_norm": 0.6674547791481018, + "learning_rate": 9.696969696969698e-06, + "loss": 0.5202, + "step": 400 + }, + { + "epoch": 0.15, + "grad_norm": 0.8516045808792114, + "learning_rate": 9.686868686868688e-06, + "loss": 0.5162, + "step": 410 + }, + { + "epoch": 0.15, + "grad_norm": 0.8700432181358337, + "learning_rate": 9.676767676767678e-06, + "loss": 0.5392, + "step": 420 + }, + { + "epoch": 0.15, + "grad_norm": 0.5687388777732849, + "learning_rate": 9.666666666666667e-06, + "loss": 0.5106, + "step": 430 + }, + { + "epoch": 0.16, + "grad_norm": 1.2382631301879883, + "learning_rate": 9.656565656565657e-06, + "loss": 0.5074, + "step": 440 + }, + { + "epoch": 0.16, + "grad_norm": 0.8921974301338196, + "learning_rate": 9.646464646464647e-06, + "loss": 0.561, + "step": 450 + }, + { + "epoch": 0.16, + "grad_norm": 1.3508048057556152, + "learning_rate": 9.636363636363638e-06, + "loss": 0.5484, + "step": 460 + }, + { + "epoch": 0.17, + "grad_norm": 1.1822205781936646, + "learning_rate": 9.626262626262626e-06, + "loss": 0.5719, + "step": 470 + }, + { + "epoch": 0.17, + "grad_norm": 0.6617271304130554, + "learning_rate": 9.616161616161616e-06, + "loss": 0.535, + "step": 480 + }, + { + "epoch": 0.18, + "grad_norm": 0.6614571809768677, + "learning_rate": 9.606060606060607e-06, + "loss": 0.4549, + "step": 490 + }, + { + "epoch": 0.18, + "grad_norm": 0.8642953038215637, + "learning_rate": 9.595959595959597e-06, + "loss": 0.4789, + "step": 500 + }, + { + "epoch": 0.18, + "grad_norm": 0.614743173122406, + "learning_rate": 9.585858585858586e-06, + "loss": 0.4854, + "step": 510 + }, + { + "epoch": 0.19, + "grad_norm": 0.970829427242279, + "learning_rate": 9.575757575757576e-06, + "loss": 0.5196, + "step": 520 + }, + { + "epoch": 0.19, + "grad_norm": 0.7311980128288269, + "learning_rate": 9.565656565656566e-06, + "loss": 0.5106, + "step": 530 + }, + { + "epoch": 0.19, + "grad_norm": 0.765849769115448, + "learning_rate": 9.555555555555556e-06, + "loss": 0.5782, + "step": 540 + }, + { + "epoch": 0.2, + "grad_norm": 1.0889312028884888, + "learning_rate": 9.545454545454547e-06, + "loss": 0.5824, + "step": 550 + }, + { + "epoch": 0.2, + "grad_norm": 0.7402384877204895, + "learning_rate": 9.535353535353537e-06, + "loss": 0.5005, + "step": 560 + }, + { + "epoch": 0.2, + "grad_norm": 0.707028329372406, + "learning_rate": 9.525252525252526e-06, + "loss": 0.5233, + "step": 570 + }, + { + "epoch": 0.21, + "grad_norm": 0.8338315486907959, + "learning_rate": 9.515151515151516e-06, + "loss": 0.4694, + "step": 580 + }, + { + "epoch": 0.21, + "grad_norm": 0.7450662851333618, + "learning_rate": 9.505050505050506e-06, + "loss": 0.4762, + "step": 590 + }, + { + "epoch": 0.22, + "grad_norm": 0.7595840692520142, + "learning_rate": 9.494949494949497e-06, + "loss": 0.5018, + "step": 600 + }, + { + "epoch": 0.22, + "grad_norm": 0.5880123376846313, + "learning_rate": 9.484848484848485e-06, + "loss": 0.5228, + "step": 610 + }, + { + "epoch": 0.22, + "grad_norm": 0.9635146260261536, + "learning_rate": 9.474747474747475e-06, + "loss": 0.4987, + "step": 620 + }, + { + "epoch": 0.23, + "grad_norm": 1.1274373531341553, + "learning_rate": 9.464646464646466e-06, + "loss": 0.5085, + "step": 630 + }, + { + "epoch": 0.23, + "grad_norm": 1.1324831247329712, + "learning_rate": 9.454545454545456e-06, + "loss": 0.504, + "step": 640 + }, + { + "epoch": 0.23, + "grad_norm": 0.5410157442092896, + "learning_rate": 9.444444444444445e-06, + "loss": 0.4619, + "step": 650 + }, + { + "epoch": 0.24, + "grad_norm": 0.7583281993865967, + "learning_rate": 9.434343434343435e-06, + "loss": 0.5162, + "step": 660 + }, + { + "epoch": 0.24, + "grad_norm": 0.6546668410301208, + "learning_rate": 9.424242424242425e-06, + "loss": 0.4969, + "step": 670 + }, + { + "epoch": 0.24, + "grad_norm": 0.6070376634597778, + "learning_rate": 9.414141414141414e-06, + "loss": 0.4805, + "step": 680 + }, + { + "epoch": 0.25, + "grad_norm": 1.0108693838119507, + "learning_rate": 9.404040404040404e-06, + "loss": 0.4808, + "step": 690 + }, + { + "epoch": 0.25, + "grad_norm": 0.8799183368682861, + "learning_rate": 9.393939393939396e-06, + "loss": 0.5082, + "step": 700 + }, + { + "epoch": 0.25, + "grad_norm": 1.3432070016860962, + "learning_rate": 9.383838383838385e-06, + "loss": 0.4353, + "step": 710 + }, + { + "epoch": 0.26, + "grad_norm": 0.6518195271492004, + "learning_rate": 9.373737373737375e-06, + "loss": 0.4933, + "step": 720 + }, + { + "epoch": 0.26, + "grad_norm": 0.6736329793930054, + "learning_rate": 9.363636363636365e-06, + "loss": 0.5342, + "step": 730 + }, + { + "epoch": 0.27, + "grad_norm": 0.776785135269165, + "learning_rate": 9.353535353535354e-06, + "loss": 0.5162, + "step": 740 + }, + { + "epoch": 0.27, + "grad_norm": 0.9443957805633545, + "learning_rate": 9.343434343434344e-06, + "loss": 0.4486, + "step": 750 + }, + { + "epoch": 0.27, + "grad_norm": 0.8882728815078735, + "learning_rate": 9.333333333333334e-06, + "loss": 0.4774, + "step": 760 + }, + { + "epoch": 0.28, + "grad_norm": 0.819239616394043, + "learning_rate": 9.323232323232325e-06, + "loss": 0.5, + "step": 770 + }, + { + "epoch": 0.28, + "grad_norm": 0.8829065561294556, + "learning_rate": 9.313131313131313e-06, + "loss": 0.4655, + "step": 780 + }, + { + "epoch": 0.28, + "grad_norm": 1.1993345022201538, + "learning_rate": 9.303030303030303e-06, + "loss": 0.5392, + "step": 790 + }, + { + "epoch": 0.29, + "grad_norm": 0.681409478187561, + "learning_rate": 9.292929292929294e-06, + "loss": 0.5076, + "step": 800 + }, + { + "epoch": 0.29, + "grad_norm": 1.075088381767273, + "learning_rate": 9.282828282828284e-06, + "loss": 0.4953, + "step": 810 + }, + { + "epoch": 0.29, + "grad_norm": 0.7040195465087891, + "learning_rate": 9.272727272727273e-06, + "loss": 0.5596, + "step": 820 + }, + { + "epoch": 0.3, + "grad_norm": 1.1210192441940308, + "learning_rate": 9.262626262626263e-06, + "loss": 0.5299, + "step": 830 + }, + { + "epoch": 0.3, + "grad_norm": 0.583011269569397, + "learning_rate": 9.252525252525253e-06, + "loss": 0.497, + "step": 840 + }, + { + "epoch": 0.3, + "grad_norm": 0.6583887338638306, + "learning_rate": 9.242424242424244e-06, + "loss": 0.5556, + "step": 850 + }, + { + "epoch": 0.31, + "grad_norm": 0.8040810227394104, + "learning_rate": 9.232323232323232e-06, + "loss": 0.5257, + "step": 860 + }, + { + "epoch": 0.31, + "grad_norm": 0.9269919991493225, + "learning_rate": 9.222222222222224e-06, + "loss": 0.4421, + "step": 870 + }, + { + "epoch": 0.32, + "grad_norm": 0.9947918653488159, + "learning_rate": 9.212121212121213e-06, + "loss": 0.5297, + "step": 880 + }, + { + "epoch": 0.32, + "grad_norm": 0.6900811791419983, + "learning_rate": 9.202020202020203e-06, + "loss": 0.4833, + "step": 890 + }, + { + "epoch": 0.32, + "grad_norm": 0.8033557534217834, + "learning_rate": 9.191919191919193e-06, + "loss": 0.4894, + "step": 900 + }, + { + "epoch": 0.33, + "grad_norm": 0.635124683380127, + "learning_rate": 9.181818181818184e-06, + "loss": 0.4554, + "step": 910 + }, + { + "epoch": 0.33, + "grad_norm": 0.7293840646743774, + "learning_rate": 9.171717171717172e-06, + "loss": 0.4693, + "step": 920 + }, + { + "epoch": 0.33, + "grad_norm": 0.7628031373023987, + "learning_rate": 9.161616161616162e-06, + "loss": 0.5181, + "step": 930 + }, + { + "epoch": 0.34, + "grad_norm": 1.0783181190490723, + "learning_rate": 9.151515151515153e-06, + "loss": 0.4632, + "step": 940 + }, + { + "epoch": 0.34, + "grad_norm": 0.5340379476547241, + "learning_rate": 9.141414141414143e-06, + "loss": 0.4664, + "step": 950 + }, + { + "epoch": 0.34, + "grad_norm": 0.9029551148414612, + "learning_rate": 9.131313131313132e-06, + "loss": 0.5333, + "step": 960 + }, + { + "epoch": 0.35, + "grad_norm": 0.7257616519927979, + "learning_rate": 9.121212121212122e-06, + "loss": 0.5168, + "step": 970 + }, + { + "epoch": 0.35, + "grad_norm": 0.761325478553772, + "learning_rate": 9.111111111111112e-06, + "loss": 0.5606, + "step": 980 + }, + { + "epoch": 0.36, + "grad_norm": 0.8582245707511902, + "learning_rate": 9.1010101010101e-06, + "loss": 0.4332, + "step": 990 + }, + { + "epoch": 0.36, + "grad_norm": 0.8598415851593018, + "learning_rate": 9.090909090909091e-06, + "loss": 0.5884, + "step": 1000 + }, + { + "epoch": 0.36, + "grad_norm": 0.8292351365089417, + "learning_rate": 9.080808080808081e-06, + "loss": 0.4848, + "step": 1010 + }, + { + "epoch": 0.37, + "grad_norm": 1.0559266805648804, + "learning_rate": 9.070707070707072e-06, + "loss": 0.4588, + "step": 1020 + }, + { + "epoch": 0.37, + "grad_norm": 0.6693033576011658, + "learning_rate": 9.06060606060606e-06, + "loss": 0.5333, + "step": 1030 + }, + { + "epoch": 0.37, + "grad_norm": 0.8114706873893738, + "learning_rate": 9.050505050505052e-06, + "loss": 0.5166, + "step": 1040 + }, + { + "epoch": 0.38, + "grad_norm": 0.8659316301345825, + "learning_rate": 9.040404040404042e-06, + "loss": 0.4504, + "step": 1050 + }, + { + "epoch": 0.38, + "grad_norm": 0.9083582758903503, + "learning_rate": 9.030303030303031e-06, + "loss": 0.5611, + "step": 1060 + }, + { + "epoch": 0.38, + "grad_norm": 0.6691566109657288, + "learning_rate": 9.020202020202021e-06, + "loss": 0.5192, + "step": 1070 + }, + { + "epoch": 0.39, + "grad_norm": 0.5889317989349365, + "learning_rate": 9.010101010101012e-06, + "loss": 0.4515, + "step": 1080 + }, + { + "epoch": 0.39, + "grad_norm": 0.9215373992919922, + "learning_rate": 9e-06, + "loss": 0.4776, + "step": 1090 + }, + { + "epoch": 0.39, + "grad_norm": 0.7439729571342468, + "learning_rate": 8.98989898989899e-06, + "loss": 0.4656, + "step": 1100 + }, + { + "epoch": 0.4, + "grad_norm": 1.1780657768249512, + "learning_rate": 8.97979797979798e-06, + "loss": 0.4933, + "step": 1110 + }, + { + "epoch": 0.4, + "grad_norm": 0.9686077833175659, + "learning_rate": 8.969696969696971e-06, + "loss": 0.5167, + "step": 1120 + }, + { + "epoch": 0.41, + "grad_norm": 0.829994261264801, + "learning_rate": 8.95959595959596e-06, + "loss": 0.491, + "step": 1130 + }, + { + "epoch": 0.41, + "grad_norm": 0.6313827633857727, + "learning_rate": 8.94949494949495e-06, + "loss": 0.4864, + "step": 1140 + }, + { + "epoch": 0.41, + "grad_norm": 0.596537709236145, + "learning_rate": 8.93939393939394e-06, + "loss": 0.4807, + "step": 1150 + }, + { + "epoch": 0.42, + "grad_norm": 0.8714896440505981, + "learning_rate": 8.92929292929293e-06, + "loss": 0.512, + "step": 1160 + }, + { + "epoch": 0.42, + "grad_norm": 0.9466399550437927, + "learning_rate": 8.919191919191919e-06, + "loss": 0.4883, + "step": 1170 + }, + { + "epoch": 0.42, + "grad_norm": 0.7337993383407593, + "learning_rate": 8.90909090909091e-06, + "loss": 0.4757, + "step": 1180 + }, + { + "epoch": 0.43, + "grad_norm": 0.7684504985809326, + "learning_rate": 8.8989898989899e-06, + "loss": 0.5224, + "step": 1190 + }, + { + "epoch": 0.43, + "grad_norm": 0.6455299854278564, + "learning_rate": 8.888888888888888e-06, + "loss": 0.5346, + "step": 1200 + }, + { + "epoch": 0.43, + "grad_norm": 0.7279661893844604, + "learning_rate": 8.87878787878788e-06, + "loss": 0.4845, + "step": 1210 + }, + { + "epoch": 0.44, + "grad_norm": 0.7996425032615662, + "learning_rate": 8.86868686868687e-06, + "loss": 0.4812, + "step": 1220 + }, + { + "epoch": 0.44, + "grad_norm": 0.7299336791038513, + "learning_rate": 8.85858585858586e-06, + "loss": 0.4985, + "step": 1230 + }, + { + "epoch": 0.44, + "grad_norm": 0.7462379932403564, + "learning_rate": 8.84848484848485e-06, + "loss": 0.5742, + "step": 1240 + }, + { + "epoch": 0.45, + "grad_norm": 0.7165307998657227, + "learning_rate": 8.83838383838384e-06, + "loss": 0.4627, + "step": 1250 + }, + { + "epoch": 0.45, + "grad_norm": 0.7239411473274231, + "learning_rate": 8.82828282828283e-06, + "loss": 0.5469, + "step": 1260 + }, + { + "epoch": 0.46, + "grad_norm": 0.5761345028877258, + "learning_rate": 8.818181818181819e-06, + "loss": 0.4391, + "step": 1270 + }, + { + "epoch": 0.46, + "grad_norm": 0.8207817077636719, + "learning_rate": 8.808080808080809e-06, + "loss": 0.5477, + "step": 1280 + }, + { + "epoch": 0.46, + "grad_norm": 0.9331930875778198, + "learning_rate": 8.7979797979798e-06, + "loss": 0.4975, + "step": 1290 + }, + { + "epoch": 0.47, + "grad_norm": 1.0401968955993652, + "learning_rate": 8.787878787878788e-06, + "loss": 0.5149, + "step": 1300 + }, + { + "epoch": 0.47, + "grad_norm": 0.7848596572875977, + "learning_rate": 8.777777777777778e-06, + "loss": 0.5448, + "step": 1310 + }, + { + "epoch": 0.47, + "grad_norm": 1.5979989767074585, + "learning_rate": 8.767676767676768e-06, + "loss": 0.4861, + "step": 1320 + }, + { + "epoch": 0.48, + "grad_norm": 0.7734145522117615, + "learning_rate": 8.757575757575759e-06, + "loss": 0.5955, + "step": 1330 + }, + { + "epoch": 0.48, + "grad_norm": 0.9506089687347412, + "learning_rate": 8.747474747474747e-06, + "loss": 0.5212, + "step": 1340 + }, + { + "epoch": 0.48, + "grad_norm": 0.7118907570838928, + "learning_rate": 8.737373737373738e-06, + "loss": 0.474, + "step": 1350 + }, + { + "epoch": 0.49, + "grad_norm": 1.0045005083084106, + "learning_rate": 8.727272727272728e-06, + "loss": 0.509, + "step": 1360 + }, + { + "epoch": 0.49, + "grad_norm": 1.1283302307128906, + "learning_rate": 8.717171717171718e-06, + "loss": 0.5096, + "step": 1370 + }, + { + "epoch": 0.49, + "grad_norm": 1.3884085416793823, + "learning_rate": 8.707070707070707e-06, + "loss": 0.5008, + "step": 1380 + }, + { + "epoch": 0.5, + "grad_norm": 0.7452566027641296, + "learning_rate": 8.696969696969699e-06, + "loss": 0.4792, + "step": 1390 + }, + { + "epoch": 0.5, + "grad_norm": 1.3434414863586426, + "learning_rate": 8.686868686868687e-06, + "loss": 0.5385, + "step": 1400 + }, + { + "epoch": 0.51, + "grad_norm": 0.9600369930267334, + "learning_rate": 8.676767676767678e-06, + "loss": 0.4743, + "step": 1410 + }, + { + "epoch": 0.51, + "grad_norm": 0.6895599961280823, + "learning_rate": 8.666666666666668e-06, + "loss": 0.5639, + "step": 1420 + }, + { + "epoch": 0.51, + "grad_norm": 0.9460670948028564, + "learning_rate": 8.656565656565658e-06, + "loss": 0.5957, + "step": 1430 + }, + { + "epoch": 0.52, + "grad_norm": 0.6181186437606812, + "learning_rate": 8.646464646464647e-06, + "loss": 0.5032, + "step": 1440 + }, + { + "epoch": 0.52, + "grad_norm": 0.6992838382720947, + "learning_rate": 8.636363636363637e-06, + "loss": 0.5371, + "step": 1450 + }, + { + "epoch": 0.52, + "grad_norm": 0.6007195711135864, + "learning_rate": 8.626262626262627e-06, + "loss": 0.4446, + "step": 1460 + }, + { + "epoch": 0.53, + "grad_norm": 0.8171485662460327, + "learning_rate": 8.616161616161618e-06, + "loss": 0.4835, + "step": 1470 + }, + { + "epoch": 0.53, + "grad_norm": 0.9369902610778809, + "learning_rate": 8.606060606060606e-06, + "loss": 0.5437, + "step": 1480 + }, + { + "epoch": 0.53, + "grad_norm": 1.1894652843475342, + "learning_rate": 8.595959595959596e-06, + "loss": 0.5151, + "step": 1490 + }, + { + "epoch": 0.54, + "grad_norm": 0.694837212562561, + "learning_rate": 8.585858585858587e-06, + "loss": 0.488, + "step": 1500 + }, + { + "epoch": 0.54, + "grad_norm": 0.8813522458076477, + "learning_rate": 8.575757575757575e-06, + "loss": 0.5129, + "step": 1510 + }, + { + "epoch": 0.55, + "grad_norm": 1.0121350288391113, + "learning_rate": 8.565656565656566e-06, + "loss": 0.5165, + "step": 1520 + }, + { + "epoch": 0.55, + "grad_norm": 0.7935439944267273, + "learning_rate": 8.555555555555556e-06, + "loss": 0.4736, + "step": 1530 + }, + { + "epoch": 0.55, + "grad_norm": 0.7670463919639587, + "learning_rate": 8.545454545454546e-06, + "loss": 0.5214, + "step": 1540 + }, + { + "epoch": 0.56, + "grad_norm": 1.212927222251892, + "learning_rate": 8.535353535353535e-06, + "loss": 0.5125, + "step": 1550 + }, + { + "epoch": 0.56, + "grad_norm": 0.7966919541358948, + "learning_rate": 8.525252525252527e-06, + "loss": 0.4823, + "step": 1560 + }, + { + "epoch": 0.56, + "grad_norm": 1.0880494117736816, + "learning_rate": 8.515151515151517e-06, + "loss": 0.478, + "step": 1570 + }, + { + "epoch": 0.57, + "grad_norm": 1.0308737754821777, + "learning_rate": 8.505050505050506e-06, + "loss": 0.5368, + "step": 1580 + }, + { + "epoch": 0.57, + "grad_norm": 0.7291275262832642, + "learning_rate": 8.494949494949496e-06, + "loss": 0.4838, + "step": 1590 + }, + { + "epoch": 0.57, + "grad_norm": 0.6764214038848877, + "learning_rate": 8.484848484848486e-06, + "loss": 0.4882, + "step": 1600 + }, + { + "epoch": 0.58, + "grad_norm": 1.051628828048706, + "learning_rate": 8.474747474747475e-06, + "loss": 0.4564, + "step": 1610 + }, + { + "epoch": 0.58, + "grad_norm": 0.8614614605903625, + "learning_rate": 8.464646464646465e-06, + "loss": 0.5632, + "step": 1620 + }, + { + "epoch": 0.58, + "grad_norm": 1.1045228242874146, + "learning_rate": 8.454545454545455e-06, + "loss": 0.4535, + "step": 1630 + }, + { + "epoch": 0.59, + "grad_norm": 0.8160364031791687, + "learning_rate": 8.444444444444446e-06, + "loss": 0.4964, + "step": 1640 + }, + { + "epoch": 0.59, + "grad_norm": 0.7776429653167725, + "learning_rate": 8.434343434343434e-06, + "loss": 0.4554, + "step": 1650 + }, + { + "epoch": 0.6, + "grad_norm": 0.7589672207832336, + "learning_rate": 8.424242424242425e-06, + "loss": 0.4458, + "step": 1660 + }, + { + "epoch": 0.6, + "grad_norm": 0.825233519077301, + "learning_rate": 8.414141414141415e-06, + "loss": 0.4814, + "step": 1670 + }, + { + "epoch": 0.6, + "grad_norm": 0.8226912617683411, + "learning_rate": 8.404040404040405e-06, + "loss": 0.4892, + "step": 1680 + }, + { + "epoch": 0.61, + "grad_norm": 0.9273412823677063, + "learning_rate": 8.393939393939394e-06, + "loss": 0.5143, + "step": 1690 + }, + { + "epoch": 0.61, + "grad_norm": 0.9043828248977661, + "learning_rate": 8.383838383838384e-06, + "loss": 0.4598, + "step": 1700 + }, + { + "epoch": 0.61, + "grad_norm": 2.2596805095672607, + "learning_rate": 8.373737373737374e-06, + "loss": 0.5415, + "step": 1710 + }, + { + "epoch": 0.62, + "grad_norm": 1.0041202306747437, + "learning_rate": 8.363636363636365e-06, + "loss": 0.5899, + "step": 1720 + }, + { + "epoch": 0.62, + "grad_norm": 0.9188370704650879, + "learning_rate": 8.353535353535355e-06, + "loss": 0.5119, + "step": 1730 + }, + { + "epoch": 0.62, + "grad_norm": 0.7778961062431335, + "learning_rate": 8.343434343434345e-06, + "loss": 0.5237, + "step": 1740 + }, + { + "epoch": 0.63, + "grad_norm": 0.7438649535179138, + "learning_rate": 8.333333333333334e-06, + "loss": 0.4999, + "step": 1750 + }, + { + "epoch": 0.63, + "grad_norm": 0.5649489760398865, + "learning_rate": 8.323232323232324e-06, + "loss": 0.552, + "step": 1760 + }, + { + "epoch": 0.63, + "grad_norm": 0.5625451803207397, + "learning_rate": 8.313131313131314e-06, + "loss": 0.4549, + "step": 1770 + }, + { + "epoch": 0.64, + "grad_norm": 1.3711755275726318, + "learning_rate": 8.303030303030305e-06, + "loss": 0.445, + "step": 1780 + }, + { + "epoch": 0.64, + "grad_norm": 1.4339165687561035, + "learning_rate": 8.292929292929293e-06, + "loss": 0.4975, + "step": 1790 + }, + { + "epoch": 0.65, + "grad_norm": 0.8113200068473816, + "learning_rate": 8.282828282828283e-06, + "loss": 0.5288, + "step": 1800 + }, + { + "epoch": 0.65, + "grad_norm": 1.1567124128341675, + "learning_rate": 8.272727272727274e-06, + "loss": 0.4669, + "step": 1810 + }, + { + "epoch": 0.65, + "grad_norm": 0.7966761589050293, + "learning_rate": 8.262626262626264e-06, + "loss": 0.4856, + "step": 1820 + }, + { + "epoch": 0.66, + "grad_norm": 1.0181186199188232, + "learning_rate": 8.252525252525253e-06, + "loss": 0.4576, + "step": 1830 + }, + { + "epoch": 0.66, + "grad_norm": 0.611566960811615, + "learning_rate": 8.242424242424243e-06, + "loss": 0.496, + "step": 1840 + }, + { + "epoch": 0.66, + "grad_norm": 0.6482832431793213, + "learning_rate": 8.232323232323233e-06, + "loss": 0.4601, + "step": 1850 + }, + { + "epoch": 0.67, + "grad_norm": 0.7550622820854187, + "learning_rate": 8.222222222222222e-06, + "loss": 0.5036, + "step": 1860 + }, + { + "epoch": 0.67, + "grad_norm": 0.7835694551467896, + "learning_rate": 8.212121212121212e-06, + "loss": 0.5617, + "step": 1870 + }, + { + "epoch": 0.67, + "grad_norm": 0.7926068305969238, + "learning_rate": 8.202020202020202e-06, + "loss": 0.4327, + "step": 1880 + }, + { + "epoch": 0.68, + "grad_norm": 0.786851167678833, + "learning_rate": 8.191919191919193e-06, + "loss": 0.4654, + "step": 1890 + }, + { + "epoch": 0.68, + "grad_norm": 0.9023171663284302, + "learning_rate": 8.181818181818183e-06, + "loss": 0.5426, + "step": 1900 + }, + { + "epoch": 0.68, + "grad_norm": 1.0345401763916016, + "learning_rate": 8.171717171717173e-06, + "loss": 0.52, + "step": 1910 + }, + { + "epoch": 0.69, + "grad_norm": 0.945004940032959, + "learning_rate": 8.161616161616162e-06, + "loss": 0.5512, + "step": 1920 + }, + { + "epoch": 0.69, + "grad_norm": 0.658362090587616, + "learning_rate": 8.151515151515152e-06, + "loss": 0.513, + "step": 1930 + }, + { + "epoch": 0.7, + "grad_norm": 0.6390058398246765, + "learning_rate": 8.141414141414142e-06, + "loss": 0.5652, + "step": 1940 + }, + { + "epoch": 0.7, + "grad_norm": 0.7705880403518677, + "learning_rate": 8.131313131313133e-06, + "loss": 0.4929, + "step": 1950 + }, + { + "epoch": 0.7, + "grad_norm": 0.5400047302246094, + "learning_rate": 8.121212121212121e-06, + "loss": 0.4932, + "step": 1960 + }, + { + "epoch": 0.71, + "grad_norm": 0.9128320217132568, + "learning_rate": 8.111111111111112e-06, + "loss": 0.5085, + "step": 1970 + }, + { + "epoch": 0.71, + "grad_norm": 1.0019017457962036, + "learning_rate": 8.101010101010102e-06, + "loss": 0.4552, + "step": 1980 + }, + { + "epoch": 0.71, + "grad_norm": 0.818148136138916, + "learning_rate": 8.090909090909092e-06, + "loss": 0.5517, + "step": 1990 + }, + { + "epoch": 0.72, + "grad_norm": 0.8848174810409546, + "learning_rate": 8.08080808080808e-06, + "loss": 0.5094, + "step": 2000 + }, + { + "epoch": 0.72, + "eval_loss": 0.6485620141029358, + "eval_runtime": 340.5095, + "eval_samples_per_second": 2.937, + "eval_steps_per_second": 2.937, + "step": 2000 + }, + { + "epoch": 0.72, + "grad_norm": 0.9389908313751221, + "learning_rate": 8.070707070707071e-06, + "loss": 0.5228, + "step": 2010 + }, + { + "epoch": 0.72, + "grad_norm": 0.901942789554596, + "learning_rate": 8.060606060606061e-06, + "loss": 0.4322, + "step": 2020 + }, + { + "epoch": 0.73, + "grad_norm": 0.6482081413269043, + "learning_rate": 8.050505050505052e-06, + "loss": 0.4123, + "step": 2030 + }, + { + "epoch": 0.73, + "grad_norm": 1.188251256942749, + "learning_rate": 8.04040404040404e-06, + "loss": 0.3863, + "step": 2040 + }, + { + "epoch": 0.74, + "grad_norm": 0.6995498538017273, + "learning_rate": 8.03030303030303e-06, + "loss": 0.4834, + "step": 2050 + }, + { + "epoch": 0.74, + "grad_norm": 0.7236158847808838, + "learning_rate": 8.02020202020202e-06, + "loss": 0.5279, + "step": 2060 + }, + { + "epoch": 0.74, + "grad_norm": 0.6699327826499939, + "learning_rate": 8.010101010101011e-06, + "loss": 0.5294, + "step": 2070 + }, + { + "epoch": 0.75, + "grad_norm": 0.7172369956970215, + "learning_rate": 8.000000000000001e-06, + "loss": 0.4882, + "step": 2080 + }, + { + "epoch": 0.75, + "grad_norm": 0.7741474509239197, + "learning_rate": 7.989898989898992e-06, + "loss": 0.4928, + "step": 2090 + }, + { + "epoch": 0.75, + "grad_norm": 0.7598722577095032, + "learning_rate": 7.97979797979798e-06, + "loss": 0.477, + "step": 2100 + }, + { + "epoch": 0.76, + "grad_norm": 0.7849257588386536, + "learning_rate": 7.96969696969697e-06, + "loss": 0.497, + "step": 2110 + }, + { + "epoch": 0.76, + "grad_norm": 0.7920640707015991, + "learning_rate": 7.95959595959596e-06, + "loss": 0.4974, + "step": 2120 + }, + { + "epoch": 0.76, + "grad_norm": 0.7092992067337036, + "learning_rate": 7.949494949494951e-06, + "loss": 0.5234, + "step": 2130 + }, + { + "epoch": 0.77, + "grad_norm": 0.8268713355064392, + "learning_rate": 7.93939393939394e-06, + "loss": 0.3966, + "step": 2140 + }, + { + "epoch": 0.77, + "grad_norm": 1.1046198606491089, + "learning_rate": 7.92929292929293e-06, + "loss": 0.452, + "step": 2150 + }, + { + "epoch": 0.77, + "grad_norm": 0.8234682083129883, + "learning_rate": 7.91919191919192e-06, + "loss": 0.5364, + "step": 2160 + }, + { + "epoch": 0.78, + "grad_norm": 0.8524590730667114, + "learning_rate": 7.909090909090909e-06, + "loss": 0.3922, + "step": 2170 + }, + { + "epoch": 0.78, + "grad_norm": 0.964320182800293, + "learning_rate": 7.898989898989899e-06, + "loss": 0.4991, + "step": 2180 + }, + { + "epoch": 0.79, + "grad_norm": 1.2167562246322632, + "learning_rate": 7.88888888888889e-06, + "loss": 0.4237, + "step": 2190 + }, + { + "epoch": 0.79, + "grad_norm": 0.893385648727417, + "learning_rate": 7.87878787878788e-06, + "loss": 0.503, + "step": 2200 + }, + { + "epoch": 0.79, + "grad_norm": 1.4781544208526611, + "learning_rate": 7.868686868686868e-06, + "loss": 0.4084, + "step": 2210 + }, + { + "epoch": 0.8, + "grad_norm": 1.0282255411148071, + "learning_rate": 7.858585858585859e-06, + "loss": 0.5531, + "step": 2220 + }, + { + "epoch": 0.8, + "grad_norm": 0.5956897139549255, + "learning_rate": 7.848484848484849e-06, + "loss": 0.421, + "step": 2230 + }, + { + "epoch": 0.8, + "grad_norm": 0.674526572227478, + "learning_rate": 7.838383838383839e-06, + "loss": 0.5221, + "step": 2240 + }, + { + "epoch": 0.81, + "grad_norm": 0.7602831125259399, + "learning_rate": 7.82828282828283e-06, + "loss": 0.4826, + "step": 2250 + }, + { + "epoch": 0.81, + "grad_norm": 0.637804388999939, + "learning_rate": 7.81818181818182e-06, + "loss": 0.4965, + "step": 2260 + }, + { + "epoch": 0.81, + "grad_norm": 1.0468482971191406, + "learning_rate": 7.808080808080808e-06, + "loss": 0.4352, + "step": 2270 + }, + { + "epoch": 0.82, + "grad_norm": 0.8232371807098389, + "learning_rate": 7.797979797979799e-06, + "loss": 0.4314, + "step": 2280 + }, + { + "epoch": 0.82, + "grad_norm": 1.2416061162948608, + "learning_rate": 7.787878787878789e-06, + "loss": 0.4559, + "step": 2290 + }, + { + "epoch": 0.82, + "grad_norm": 0.7591462135314941, + "learning_rate": 7.77777777777778e-06, + "loss": 0.5443, + "step": 2300 + }, + { + "epoch": 0.83, + "grad_norm": 0.7769295573234558, + "learning_rate": 7.767676767676768e-06, + "loss": 0.4915, + "step": 2310 + }, + { + "epoch": 0.83, + "grad_norm": 0.7007648944854736, + "learning_rate": 7.757575757575758e-06, + "loss": 0.4102, + "step": 2320 + }, + { + "epoch": 0.84, + "grad_norm": 0.8512477874755859, + "learning_rate": 7.747474747474748e-06, + "loss": 0.488, + "step": 2330 + }, + { + "epoch": 0.84, + "grad_norm": 1.0806859731674194, + "learning_rate": 7.737373737373739e-06, + "loss": 0.4482, + "step": 2340 + }, + { + "epoch": 0.84, + "grad_norm": 0.8377964496612549, + "learning_rate": 7.727272727272727e-06, + "loss": 0.4714, + "step": 2350 + }, + { + "epoch": 0.85, + "grad_norm": 0.9962327480316162, + "learning_rate": 7.717171717171717e-06, + "loss": 0.4354, + "step": 2360 + }, + { + "epoch": 0.85, + "grad_norm": 0.7444832921028137, + "learning_rate": 7.707070707070708e-06, + "loss": 0.5651, + "step": 2370 + }, + { + "epoch": 0.85, + "grad_norm": 0.7137871384620667, + "learning_rate": 7.696969696969696e-06, + "loss": 0.4773, + "step": 2380 + }, + { + "epoch": 0.86, + "grad_norm": 0.8521376252174377, + "learning_rate": 7.686868686868687e-06, + "loss": 0.4961, + "step": 2390 + }, + { + "epoch": 0.86, + "grad_norm": 0.9442594647407532, + "learning_rate": 7.676767676767677e-06, + "loss": 0.4627, + "step": 2400 + }, + { + "epoch": 0.86, + "grad_norm": 1.169360876083374, + "learning_rate": 7.666666666666667e-06, + "loss": 0.4601, + "step": 2410 + }, + { + "epoch": 0.87, + "grad_norm": 0.8181536197662354, + "learning_rate": 7.656565656565658e-06, + "loss": 0.4635, + "step": 2420 + }, + { + "epoch": 0.87, + "grad_norm": 0.9113516211509705, + "learning_rate": 7.646464646464648e-06, + "loss": 0.4219, + "step": 2430 + }, + { + "epoch": 0.88, + "grad_norm": 1.26584792137146, + "learning_rate": 7.636363636363638e-06, + "loss": 0.5165, + "step": 2440 + }, + { + "epoch": 0.88, + "grad_norm": 0.6445989608764648, + "learning_rate": 7.6262626262626275e-06, + "loss": 0.4755, + "step": 2450 + }, + { + "epoch": 0.88, + "grad_norm": 0.7551100850105286, + "learning_rate": 7.616161616161617e-06, + "loss": 0.4976, + "step": 2460 + }, + { + "epoch": 0.89, + "grad_norm": 1.0578736066818237, + "learning_rate": 7.606060606060606e-06, + "loss": 0.524, + "step": 2470 + }, + { + "epoch": 0.89, + "grad_norm": 1.0422261953353882, + "learning_rate": 7.595959595959597e-06, + "loss": 0.5136, + "step": 2480 + }, + { + "epoch": 0.89, + "grad_norm": 1.0524308681488037, + "learning_rate": 7.585858585858586e-06, + "loss": 0.5058, + "step": 2490 + }, + { + "epoch": 0.9, + "grad_norm": 0.8334051966667175, + "learning_rate": 7.5757575757575764e-06, + "loss": 0.4487, + "step": 2500 + }, + { + "epoch": 0.9, + "grad_norm": 0.9613906145095825, + "learning_rate": 7.565656565656566e-06, + "loss": 0.5055, + "step": 2510 + }, + { + "epoch": 0.9, + "grad_norm": 0.9347293972969055, + "learning_rate": 7.555555555555556e-06, + "loss": 0.4672, + "step": 2520 + }, + { + "epoch": 0.91, + "grad_norm": 1.0498868227005005, + "learning_rate": 7.545454545454546e-06, + "loss": 0.4336, + "step": 2530 + }, + { + "epoch": 0.91, + "grad_norm": 1.0005099773406982, + "learning_rate": 7.535353535353536e-06, + "loss": 0.523, + "step": 2540 + }, + { + "epoch": 0.91, + "grad_norm": 1.027875542640686, + "learning_rate": 7.525252525252525e-06, + "loss": 0.5088, + "step": 2550 + }, + { + "epoch": 0.92, + "grad_norm": 0.7960171103477478, + "learning_rate": 7.515151515151516e-06, + "loss": 0.4636, + "step": 2560 + }, + { + "epoch": 0.92, + "grad_norm": 1.1945937871932983, + "learning_rate": 7.505050505050505e-06, + "loss": 0.4736, + "step": 2570 + }, + { + "epoch": 0.93, + "grad_norm": 0.9849948287010193, + "learning_rate": 7.494949494949496e-06, + "loss": 0.4766, + "step": 2580 + }, + { + "epoch": 0.93, + "grad_norm": 0.7381343841552734, + "learning_rate": 7.484848484848486e-06, + "loss": 0.4427, + "step": 2590 + }, + { + "epoch": 0.93, + "grad_norm": 0.964435875415802, + "learning_rate": 7.474747474747476e-06, + "loss": 0.5179, + "step": 2600 + }, + { + "epoch": 0.94, + "grad_norm": 1.0832308530807495, + "learning_rate": 7.464646464646465e-06, + "loss": 0.5179, + "step": 2610 + }, + { + "epoch": 0.94, + "grad_norm": 0.8275842070579529, + "learning_rate": 7.454545454545456e-06, + "loss": 0.3957, + "step": 2620 + }, + { + "epoch": 0.94, + "grad_norm": 1.7618038654327393, + "learning_rate": 7.444444444444445e-06, + "loss": 0.4626, + "step": 2630 + }, + { + "epoch": 0.95, + "grad_norm": 0.9667460918426514, + "learning_rate": 7.434343434343435e-06, + "loss": 0.4338, + "step": 2640 + }, + { + "epoch": 0.95, + "grad_norm": 0.8243513107299805, + "learning_rate": 7.424242424242425e-06, + "loss": 0.496, + "step": 2650 + }, + { + "epoch": 0.95, + "grad_norm": 0.8097424507141113, + "learning_rate": 7.414141414141415e-06, + "loss": 0.4911, + "step": 2660 + }, + { + "epoch": 0.96, + "grad_norm": 1.219351053237915, + "learning_rate": 7.4040404040404045e-06, + "loss": 0.5163, + "step": 2670 + }, + { + "epoch": 0.96, + "grad_norm": 0.7272489666938782, + "learning_rate": 7.393939393939395e-06, + "loss": 0.4783, + "step": 2680 + }, + { + "epoch": 0.96, + "grad_norm": 0.9799202084541321, + "learning_rate": 7.383838383838384e-06, + "loss": 0.4638, + "step": 2690 + }, + { + "epoch": 0.97, + "grad_norm": 1.1537474393844604, + "learning_rate": 7.373737373737374e-06, + "loss": 0.4184, + "step": 2700 + }, + { + "epoch": 0.97, + "grad_norm": 0.750483512878418, + "learning_rate": 7.363636363636364e-06, + "loss": 0.4544, + "step": 2710 + }, + { + "epoch": 0.98, + "grad_norm": 0.915256679058075, + "learning_rate": 7.353535353535353e-06, + "loss": 0.4579, + "step": 2720 + }, + { + "epoch": 0.98, + "grad_norm": 1.0220776796340942, + "learning_rate": 7.343434343434344e-06, + "loss": 0.4568, + "step": 2730 + }, + { + "epoch": 0.98, + "grad_norm": 1.0540516376495361, + "learning_rate": 7.333333333333333e-06, + "loss": 0.5228, + "step": 2740 + }, + { + "epoch": 0.99, + "grad_norm": 2.014601230621338, + "learning_rate": 7.323232323232324e-06, + "loss": 0.4482, + "step": 2750 + }, + { + "epoch": 0.99, + "grad_norm": 0.9005866646766663, + "learning_rate": 7.3131313131313146e-06, + "loss": 0.4868, + "step": 2760 + }, + { + "epoch": 0.99, + "grad_norm": 1.0538028478622437, + "learning_rate": 7.303030303030304e-06, + "loss": 0.4884, + "step": 2770 + }, + { + "epoch": 1.0, + "grad_norm": 0.9115027785301208, + "learning_rate": 7.2929292929292934e-06, + "loss": 0.4421, + "step": 2780 + }, + { + "epoch": 1.0, + "grad_norm": 1.5715361833572388, + "learning_rate": 7.282828282828284e-06, + "loss": 0.4442, + "step": 2790 + }, + { + "epoch": 1.0, + "grad_norm": 0.8492701649665833, + "learning_rate": 7.272727272727273e-06, + "loss": 0.4828, + "step": 2800 + }, + { + "epoch": 1.01, + "grad_norm": 0.7459146976470947, + "learning_rate": 7.2626262626262635e-06, + "loss": 0.4649, + "step": 2810 + }, + { + "epoch": 1.01, + "grad_norm": 0.6268482804298401, + "learning_rate": 7.252525252525253e-06, + "loss": 0.4521, + "step": 2820 + }, + { + "epoch": 1.01, + "grad_norm": 0.9125592112541199, + "learning_rate": 7.242424242424243e-06, + "loss": 0.57, + "step": 2830 + }, + { + "epoch": 1.02, + "grad_norm": 0.8162791132926941, + "learning_rate": 7.232323232323233e-06, + "loss": 0.4746, + "step": 2840 + }, + { + "epoch": 1.02, + "grad_norm": 0.9345506429672241, + "learning_rate": 7.222222222222223e-06, + "loss": 0.4777, + "step": 2850 + }, + { + "epoch": 1.03, + "grad_norm": 0.6382574439048767, + "learning_rate": 7.212121212121212e-06, + "loss": 0.4832, + "step": 2860 + }, + { + "epoch": 1.03, + "grad_norm": 0.9409840703010559, + "learning_rate": 7.202020202020203e-06, + "loss": 0.4659, + "step": 2870 + }, + { + "epoch": 1.03, + "grad_norm": 1.0053200721740723, + "learning_rate": 7.191919191919192e-06, + "loss": 0.4041, + "step": 2880 + }, + { + "epoch": 1.04, + "grad_norm": 0.8394672870635986, + "learning_rate": 7.181818181818182e-06, + "loss": 0.4477, + "step": 2890 + }, + { + "epoch": 1.04, + "grad_norm": 0.8685116171836853, + "learning_rate": 7.171717171717172e-06, + "loss": 0.4155, + "step": 2900 + }, + { + "epoch": 1.04, + "grad_norm": 0.8150361776351929, + "learning_rate": 7.161616161616162e-06, + "loss": 0.3901, + "step": 2910 + }, + { + "epoch": 1.05, + "grad_norm": 0.7799510955810547, + "learning_rate": 7.151515151515152e-06, + "loss": 0.4273, + "step": 2920 + }, + { + "epoch": 1.05, + "grad_norm": 1.1197009086608887, + "learning_rate": 7.141414141414143e-06, + "loss": 0.447, + "step": 2930 + }, + { + "epoch": 1.05, + "grad_norm": 0.8753387331962585, + "learning_rate": 7.131313131313132e-06, + "loss": 0.3847, + "step": 2940 + }, + { + "epoch": 1.06, + "grad_norm": 0.9633245468139648, + "learning_rate": 7.121212121212122e-06, + "loss": 0.4985, + "step": 2950 + }, + { + "epoch": 1.06, + "grad_norm": 1.0391559600830078, + "learning_rate": 7.111111111111112e-06, + "loss": 0.4476, + "step": 2960 + }, + { + "epoch": 1.07, + "grad_norm": 0.9432191252708435, + "learning_rate": 7.101010101010102e-06, + "loss": 0.4669, + "step": 2970 + }, + { + "epoch": 1.07, + "grad_norm": 1.078410267829895, + "learning_rate": 7.0909090909090916e-06, + "loss": 0.401, + "step": 2980 + }, + { + "epoch": 1.07, + "grad_norm": 0.9405683875083923, + "learning_rate": 7.080808080808082e-06, + "loss": 0.4744, + "step": 2990 + }, + { + "epoch": 1.08, + "grad_norm": 1.4189893007278442, + "learning_rate": 7.070707070707071e-06, + "loss": 0.4334, + "step": 3000 + }, + { + "epoch": 1.08, + "grad_norm": 0.9169256091117859, + "learning_rate": 7.060606060606061e-06, + "loss": 0.4234, + "step": 3010 + }, + { + "epoch": 1.08, + "grad_norm": 0.8117393851280212, + "learning_rate": 7.050505050505051e-06, + "loss": 0.4676, + "step": 3020 + }, + { + "epoch": 1.09, + "grad_norm": 0.967890739440918, + "learning_rate": 7.0404040404040404e-06, + "loss": 0.4497, + "step": 3030 + }, + { + "epoch": 1.09, + "grad_norm": 1.0548313856124878, + "learning_rate": 7.030303030303031e-06, + "loss": 0.4429, + "step": 3040 + }, + { + "epoch": 1.09, + "grad_norm": 1.071303367614746, + "learning_rate": 7.02020202020202e-06, + "loss": 0.4251, + "step": 3050 + }, + { + "epoch": 1.1, + "grad_norm": 1.1772490739822388, + "learning_rate": 7.0101010101010105e-06, + "loss": 0.4897, + "step": 3060 + }, + { + "epoch": 1.1, + "grad_norm": 1.3903322219848633, + "learning_rate": 7e-06, + "loss": 0.4953, + "step": 3070 + }, + { + "epoch": 1.1, + "grad_norm": 0.8463280200958252, + "learning_rate": 6.98989898989899e-06, + "loss": 0.3923, + "step": 3080 + }, + { + "epoch": 1.11, + "grad_norm": 1.146888256072998, + "learning_rate": 6.979797979797981e-06, + "loss": 0.4723, + "step": 3090 + }, + { + "epoch": 1.11, + "grad_norm": 1.0877312421798706, + "learning_rate": 6.969696969696971e-06, + "loss": 0.4822, + "step": 3100 + }, + { + "epoch": 1.12, + "grad_norm": 0.7444977164268494, + "learning_rate": 6.95959595959596e-06, + "loss": 0.4591, + "step": 3110 + }, + { + "epoch": 1.12, + "grad_norm": 0.7259607911109924, + "learning_rate": 6.9494949494949505e-06, + "loss": 0.4564, + "step": 3120 + }, + { + "epoch": 1.12, + "grad_norm": 0.9535048604011536, + "learning_rate": 6.93939393939394e-06, + "loss": 0.4402, + "step": 3130 + }, + { + "epoch": 1.13, + "grad_norm": 0.9428088068962097, + "learning_rate": 6.92929292929293e-06, + "loss": 0.4039, + "step": 3140 + }, + { + "epoch": 1.13, + "grad_norm": 0.9858347177505493, + "learning_rate": 6.91919191919192e-06, + "loss": 0.4334, + "step": 3150 + }, + { + "epoch": 1.13, + "grad_norm": 1.0837122201919556, + "learning_rate": 6.90909090909091e-06, + "loss": 0.3957, + "step": 3160 + }, + { + "epoch": 1.14, + "grad_norm": 1.0605705976486206, + "learning_rate": 6.898989898989899e-06, + "loss": 0.4195, + "step": 3170 + }, + { + "epoch": 1.14, + "grad_norm": 1.0856525897979736, + "learning_rate": 6.88888888888889e-06, + "loss": 0.4286, + "step": 3180 + }, + { + "epoch": 1.14, + "grad_norm": 1.02509605884552, + "learning_rate": 6.878787878787879e-06, + "loss": 0.4413, + "step": 3190 + }, + { + "epoch": 1.15, + "grad_norm": 0.8847616314888, + "learning_rate": 6.868686868686869e-06, + "loss": 0.4117, + "step": 3200 + }, + { + "epoch": 1.15, + "grad_norm": 1.1464060544967651, + "learning_rate": 6.858585858585859e-06, + "loss": 0.44, + "step": 3210 + }, + { + "epoch": 1.15, + "grad_norm": 0.9589990973472595, + "learning_rate": 6.848484848484849e-06, + "loss": 0.4896, + "step": 3220 + }, + { + "epoch": 1.16, + "grad_norm": 1.080541968345642, + "learning_rate": 6.8383838383838386e-06, + "loss": 0.4203, + "step": 3230 + }, + { + "epoch": 1.16, + "grad_norm": 1.3150702714920044, + "learning_rate": 6.828282828282828e-06, + "loss": 0.4213, + "step": 3240 + }, + { + "epoch": 1.17, + "grad_norm": 1.0854105949401855, + "learning_rate": 6.818181818181818e-06, + "loss": 0.4538, + "step": 3250 + }, + { + "epoch": 1.17, + "grad_norm": 0.7211188673973083, + "learning_rate": 6.808080808080809e-06, + "loss": 0.4332, + "step": 3260 + }, + { + "epoch": 1.17, + "grad_norm": 1.0323004722595215, + "learning_rate": 6.797979797979799e-06, + "loss": 0.465, + "step": 3270 + }, + { + "epoch": 1.18, + "grad_norm": 0.9176574349403381, + "learning_rate": 6.787878787878789e-06, + "loss": 0.4898, + "step": 3280 + }, + { + "epoch": 1.18, + "grad_norm": 1.2033518552780151, + "learning_rate": 6.777777777777779e-06, + "loss": 0.4652, + "step": 3290 + }, + { + "epoch": 1.18, + "grad_norm": 0.6069207191467285, + "learning_rate": 6.767676767676769e-06, + "loss": 0.4663, + "step": 3300 + }, + { + "epoch": 1.19, + "grad_norm": 0.9627435803413391, + "learning_rate": 6.757575757575758e-06, + "loss": 0.4992, + "step": 3310 + }, + { + "epoch": 1.19, + "grad_norm": 0.7333098649978638, + "learning_rate": 6.747474747474749e-06, + "loss": 0.4876, + "step": 3320 + }, + { + "epoch": 1.19, + "grad_norm": 0.6735036969184875, + "learning_rate": 6.737373737373738e-06, + "loss": 0.4797, + "step": 3330 + }, + { + "epoch": 1.2, + "grad_norm": 0.8416649699211121, + "learning_rate": 6.7272727272727275e-06, + "loss": 0.3889, + "step": 3340 + }, + { + "epoch": 1.2, + "grad_norm": 1.227149486541748, + "learning_rate": 6.717171717171718e-06, + "loss": 0.4677, + "step": 3350 + }, + { + "epoch": 1.2, + "grad_norm": 1.5126155614852905, + "learning_rate": 6.707070707070707e-06, + "loss": 0.4444, + "step": 3360 + }, + { + "epoch": 1.21, + "grad_norm": 1.1622529029846191, + "learning_rate": 6.6969696969696975e-06, + "loss": 0.4372, + "step": 3370 + }, + { + "epoch": 1.21, + "grad_norm": 0.975615918636322, + "learning_rate": 6.686868686868687e-06, + "loss": 0.4037, + "step": 3380 + }, + { + "epoch": 1.22, + "grad_norm": 0.8992089033126831, + "learning_rate": 6.676767676767677e-06, + "loss": 0.3785, + "step": 3390 + }, + { + "epoch": 1.22, + "grad_norm": 1.4439970254898071, + "learning_rate": 6.666666666666667e-06, + "loss": 0.5169, + "step": 3400 + }, + { + "epoch": 1.22, + "grad_norm": 0.9601142406463623, + "learning_rate": 6.656565656565657e-06, + "loss": 0.4396, + "step": 3410 + }, + { + "epoch": 1.23, + "grad_norm": 1.0457966327667236, + "learning_rate": 6.646464646464646e-06, + "loss": 0.4065, + "step": 3420 + }, + { + "epoch": 1.23, + "grad_norm": 1.0014325380325317, + "learning_rate": 6.6363636363636375e-06, + "loss": 0.4616, + "step": 3430 + }, + { + "epoch": 1.23, + "grad_norm": 1.3321492671966553, + "learning_rate": 6.626262626262627e-06, + "loss": 0.4164, + "step": 3440 + }, + { + "epoch": 1.24, + "grad_norm": 0.9500308036804199, + "learning_rate": 6.616161616161617e-06, + "loss": 0.4156, + "step": 3450 + }, + { + "epoch": 1.24, + "grad_norm": 1.1907135248184204, + "learning_rate": 6.606060606060607e-06, + "loss": 0.4353, + "step": 3460 + }, + { + "epoch": 1.24, + "grad_norm": 1.7826789617538452, + "learning_rate": 6.595959595959597e-06, + "loss": 0.4764, + "step": 3470 + }, + { + "epoch": 1.25, + "grad_norm": 1.0160069465637207, + "learning_rate": 6.585858585858586e-06, + "loss": 0.4594, + "step": 3480 + }, + { + "epoch": 1.25, + "grad_norm": 1.0795533657073975, + "learning_rate": 6.575757575757577e-06, + "loss": 0.4557, + "step": 3490 + }, + { + "epoch": 1.26, + "grad_norm": 1.2484716176986694, + "learning_rate": 6.565656565656566e-06, + "loss": 0.5057, + "step": 3500 + }, + { + "epoch": 1.26, + "grad_norm": 1.6144826412200928, + "learning_rate": 6.555555555555556e-06, + "loss": 0.4554, + "step": 3510 + }, + { + "epoch": 1.26, + "grad_norm": 1.3575657606124878, + "learning_rate": 6.545454545454546e-06, + "loss": 0.3373, + "step": 3520 + }, + { + "epoch": 1.27, + "grad_norm": 0.9021044373512268, + "learning_rate": 6.535353535353536e-06, + "loss": 0.4765, + "step": 3530 + }, + { + "epoch": 1.27, + "grad_norm": 1.0576077699661255, + "learning_rate": 6.525252525252526e-06, + "loss": 0.4344, + "step": 3540 + }, + { + "epoch": 1.27, + "grad_norm": 1.0687928199768066, + "learning_rate": 6.515151515151516e-06, + "loss": 0.5022, + "step": 3550 + }, + { + "epoch": 1.28, + "grad_norm": 0.9124734401702881, + "learning_rate": 6.505050505050505e-06, + "loss": 0.4133, + "step": 3560 + }, + { + "epoch": 1.28, + "grad_norm": 0.8715507984161377, + "learning_rate": 6.494949494949495e-06, + "loss": 0.454, + "step": 3570 + }, + { + "epoch": 1.28, + "grad_norm": 1.0889540910720825, + "learning_rate": 6.484848484848485e-06, + "loss": 0.443, + "step": 3580 + }, + { + "epoch": 1.29, + "grad_norm": 0.9323639273643494, + "learning_rate": 6.4747474747474745e-06, + "loss": 0.4983, + "step": 3590 + }, + { + "epoch": 1.29, + "grad_norm": 0.6946113109588623, + "learning_rate": 6.464646464646466e-06, + "loss": 0.4364, + "step": 3600 + }, + { + "epoch": 1.29, + "grad_norm": 1.1879271268844604, + "learning_rate": 6.454545454545456e-06, + "loss": 0.4816, + "step": 3610 + }, + { + "epoch": 1.3, + "grad_norm": 1.337172031402588, + "learning_rate": 6.444444444444445e-06, + "loss": 0.4963, + "step": 3620 + }, + { + "epoch": 1.3, + "grad_norm": 0.9384005069732666, + "learning_rate": 6.434343434343436e-06, + "loss": 0.5185, + "step": 3630 + }, + { + "epoch": 1.31, + "grad_norm": 1.2666473388671875, + "learning_rate": 6.424242424242425e-06, + "loss": 0.389, + "step": 3640 + }, + { + "epoch": 1.31, + "grad_norm": 1.037668228149414, + "learning_rate": 6.4141414141414145e-06, + "loss": 0.4529, + "step": 3650 + }, + { + "epoch": 1.31, + "grad_norm": 1.4652140140533447, + "learning_rate": 6.404040404040405e-06, + "loss": 0.3915, + "step": 3660 + }, + { + "epoch": 1.32, + "grad_norm": 1.1823006868362427, + "learning_rate": 6.393939393939394e-06, + "loss": 0.5123, + "step": 3670 + }, + { + "epoch": 1.32, + "grad_norm": 1.0706424713134766, + "learning_rate": 6.3838383838383845e-06, + "loss": 0.4989, + "step": 3680 + }, + { + "epoch": 1.32, + "grad_norm": 0.9993262887001038, + "learning_rate": 6.373737373737374e-06, + "loss": 0.4268, + "step": 3690 + }, + { + "epoch": 1.33, + "grad_norm": 0.9947906732559204, + "learning_rate": 6.363636363636364e-06, + "loss": 0.4246, + "step": 3700 + }, + { + "epoch": 1.33, + "grad_norm": 0.8563311696052551, + "learning_rate": 6.353535353535354e-06, + "loss": 0.4439, + "step": 3710 + }, + { + "epoch": 1.33, + "grad_norm": 1.2519429922103882, + "learning_rate": 6.343434343434344e-06, + "loss": 0.3973, + "step": 3720 + }, + { + "epoch": 1.34, + "grad_norm": 1.2925148010253906, + "learning_rate": 6.333333333333333e-06, + "loss": 0.4179, + "step": 3730 + }, + { + "epoch": 1.34, + "grad_norm": 1.1731756925582886, + "learning_rate": 6.323232323232324e-06, + "loss": 0.4748, + "step": 3740 + }, + { + "epoch": 1.34, + "grad_norm": 1.030536413192749, + "learning_rate": 6.313131313131313e-06, + "loss": 0.4131, + "step": 3750 + }, + { + "epoch": 1.35, + "grad_norm": 1.1279093027114868, + "learning_rate": 6.303030303030303e-06, + "loss": 0.4143, + "step": 3760 + }, + { + "epoch": 1.35, + "grad_norm": 1.1602801084518433, + "learning_rate": 6.292929292929294e-06, + "loss": 0.4718, + "step": 3770 + }, + { + "epoch": 1.36, + "grad_norm": 1.5314010381698608, + "learning_rate": 6.282828282828284e-06, + "loss": 0.5463, + "step": 3780 + }, + { + "epoch": 1.36, + "grad_norm": 1.6124476194381714, + "learning_rate": 6.2727272727272734e-06, + "loss": 0.4857, + "step": 3790 + }, + { + "epoch": 1.36, + "grad_norm": 1.185355305671692, + "learning_rate": 6.262626262626264e-06, + "loss": 0.4167, + "step": 3800 + }, + { + "epoch": 1.37, + "grad_norm": 1.1900933980941772, + "learning_rate": 6.252525252525253e-06, + "loss": 0.4658, + "step": 3810 + }, + { + "epoch": 1.37, + "grad_norm": 1.2930880784988403, + "learning_rate": 6.2424242424242434e-06, + "loss": 0.4912, + "step": 3820 + }, + { + "epoch": 1.37, + "grad_norm": 1.1819838285446167, + "learning_rate": 6.232323232323233e-06, + "loss": 0.4129, + "step": 3830 + }, + { + "epoch": 1.38, + "grad_norm": 1.315292477607727, + "learning_rate": 6.222222222222223e-06, + "loss": 0.477, + "step": 3840 + }, + { + "epoch": 1.38, + "grad_norm": 1.007524013519287, + "learning_rate": 6.212121212121213e-06, + "loss": 0.414, + "step": 3850 + }, + { + "epoch": 1.38, + "grad_norm": 1.1948471069335938, + "learning_rate": 6.202020202020203e-06, + "loss": 0.4576, + "step": 3860 + }, + { + "epoch": 1.39, + "grad_norm": 1.3339303731918335, + "learning_rate": 6.191919191919192e-06, + "loss": 0.5547, + "step": 3870 + }, + { + "epoch": 1.39, + "grad_norm": 1.2568715810775757, + "learning_rate": 6.181818181818182e-06, + "loss": 0.3941, + "step": 3880 + }, + { + "epoch": 1.4, + "grad_norm": 1.2084232568740845, + "learning_rate": 6.171717171717172e-06, + "loss": 0.462, + "step": 3890 + }, + { + "epoch": 1.4, + "grad_norm": 1.0328818559646606, + "learning_rate": 6.1616161616161615e-06, + "loss": 0.4484, + "step": 3900 + }, + { + "epoch": 1.4, + "grad_norm": 1.9673748016357422, + "learning_rate": 6.151515151515152e-06, + "loss": 0.4543, + "step": 3910 + }, + { + "epoch": 1.41, + "grad_norm": 1.4105424880981445, + "learning_rate": 6.141414141414141e-06, + "loss": 0.4964, + "step": 3920 + }, + { + "epoch": 1.41, + "grad_norm": 0.7082942128181458, + "learning_rate": 6.1313131313131315e-06, + "loss": 0.5297, + "step": 3930 + }, + { + "epoch": 1.41, + "grad_norm": 1.2604327201843262, + "learning_rate": 6.121212121212121e-06, + "loss": 0.4207, + "step": 3940 + }, + { + "epoch": 1.42, + "grad_norm": 0.999332070350647, + "learning_rate": 6.111111111111112e-06, + "loss": 0.4791, + "step": 3950 + }, + { + "epoch": 1.42, + "grad_norm": 1.139615535736084, + "learning_rate": 6.1010101010101015e-06, + "loss": 0.4281, + "step": 3960 + }, + { + "epoch": 1.42, + "grad_norm": 1.1164727210998535, + "learning_rate": 6.090909090909092e-06, + "loss": 0.3807, + "step": 3970 + }, + { + "epoch": 1.43, + "grad_norm": 1.0829392671585083, + "learning_rate": 6.080808080808081e-06, + "loss": 0.4996, + "step": 3980 + }, + { + "epoch": 1.43, + "grad_norm": 0.8551573753356934, + "learning_rate": 6.0707070707070715e-06, + "loss": 0.4759, + "step": 3990 + }, + { + "epoch": 1.43, + "grad_norm": 1.224134087562561, + "learning_rate": 6.060606060606061e-06, + "loss": 0.4244, + "step": 4000 + }, + { + "epoch": 1.43, + "eval_loss": 0.5992664694786072, + "eval_runtime": 334.8169, + "eval_samples_per_second": 2.987, + "eval_steps_per_second": 2.987, + "step": 4000 + }, + { + "epoch": 1.44, + "grad_norm": 1.1042165756225586, + "learning_rate": 6.050505050505051e-06, + "loss": 0.4815, + "step": 4010 + }, + { + "epoch": 1.44, + "grad_norm": 1.087483525276184, + "learning_rate": 6.040404040404041e-06, + "loss": 0.4918, + "step": 4020 + }, + { + "epoch": 1.45, + "grad_norm": 1.0040034055709839, + "learning_rate": 6.030303030303031e-06, + "loss": 0.4666, + "step": 4030 + }, + { + "epoch": 1.45, + "grad_norm": 1.2772231101989746, + "learning_rate": 6.0202020202020204e-06, + "loss": 0.4847, + "step": 4040 + }, + { + "epoch": 1.45, + "grad_norm": 1.217619776725769, + "learning_rate": 6.010101010101011e-06, + "loss": 0.4138, + "step": 4050 + }, + { + "epoch": 1.46, + "grad_norm": 1.109666347503662, + "learning_rate": 6e-06, + "loss": 0.4799, + "step": 4060 + }, + { + "epoch": 1.46, + "grad_norm": 1.2436999082565308, + "learning_rate": 5.9898989898989904e-06, + "loss": 0.4218, + "step": 4070 + }, + { + "epoch": 1.46, + "grad_norm": 1.252548098564148, + "learning_rate": 5.97979797979798e-06, + "loss": 0.4585, + "step": 4080 + }, + { + "epoch": 1.47, + "grad_norm": 1.2544574737548828, + "learning_rate": 5.96969696969697e-06, + "loss": 0.4633, + "step": 4090 + }, + { + "epoch": 1.47, + "grad_norm": 1.144337773323059, + "learning_rate": 5.95959595959596e-06, + "loss": 0.4408, + "step": 4100 + }, + { + "epoch": 1.47, + "grad_norm": 1.067790150642395, + "learning_rate": 5.949494949494949e-06, + "loss": 0.4349, + "step": 4110 + }, + { + "epoch": 1.48, + "grad_norm": 0.8417388200759888, + "learning_rate": 5.93939393939394e-06, + "loss": 0.4859, + "step": 4120 + }, + { + "epoch": 1.48, + "grad_norm": 1.5285634994506836, + "learning_rate": 5.9292929292929305e-06, + "loss": 0.4556, + "step": 4130 + }, + { + "epoch": 1.48, + "grad_norm": 1.1098241806030273, + "learning_rate": 5.91919191919192e-06, + "loss": 0.5067, + "step": 4140 + }, + { + "epoch": 1.49, + "grad_norm": 0.8364139795303345, + "learning_rate": 5.90909090909091e-06, + "loss": 0.4781, + "step": 4150 + }, + { + "epoch": 1.49, + "grad_norm": 0.8289257287979126, + "learning_rate": 5.8989898989899e-06, + "loss": 0.3966, + "step": 4160 + }, + { + "epoch": 1.5, + "grad_norm": 0.9829197525978088, + "learning_rate": 5.88888888888889e-06, + "loss": 0.4382, + "step": 4170 + }, + { + "epoch": 1.5, + "grad_norm": 0.7760851383209229, + "learning_rate": 5.878787878787879e-06, + "loss": 0.3977, + "step": 4180 + }, + { + "epoch": 1.5, + "grad_norm": 1.0614337921142578, + "learning_rate": 5.868686868686869e-06, + "loss": 0.4382, + "step": 4190 + }, + { + "epoch": 1.51, + "grad_norm": 1.098379135131836, + "learning_rate": 5.858585858585859e-06, + "loss": 0.3688, + "step": 4200 + }, + { + "epoch": 1.51, + "grad_norm": 1.2058717012405396, + "learning_rate": 5.8484848484848485e-06, + "loss": 0.4048, + "step": 4210 + }, + { + "epoch": 1.51, + "grad_norm": 0.9828083515167236, + "learning_rate": 5.838383838383839e-06, + "loss": 0.4997, + "step": 4220 + }, + { + "epoch": 1.52, + "grad_norm": 1.327776551246643, + "learning_rate": 5.828282828282828e-06, + "loss": 0.4621, + "step": 4230 + }, + { + "epoch": 1.52, + "grad_norm": 1.2171368598937988, + "learning_rate": 5.8181818181818185e-06, + "loss": 0.4177, + "step": 4240 + }, + { + "epoch": 1.52, + "grad_norm": 1.4939155578613281, + "learning_rate": 5.808080808080808e-06, + "loss": 0.4821, + "step": 4250 + }, + { + "epoch": 1.53, + "grad_norm": 1.523369550704956, + "learning_rate": 5.797979797979798e-06, + "loss": 0.4116, + "step": 4260 + }, + { + "epoch": 1.53, + "grad_norm": 1.3256771564483643, + "learning_rate": 5.787878787878788e-06, + "loss": 0.4948, + "step": 4270 + }, + { + "epoch": 1.53, + "grad_norm": 1.5732948780059814, + "learning_rate": 5.777777777777778e-06, + "loss": 0.5275, + "step": 4280 + }, + { + "epoch": 1.54, + "grad_norm": 1.1372538805007935, + "learning_rate": 5.767676767676768e-06, + "loss": 0.463, + "step": 4290 + }, + { + "epoch": 1.54, + "grad_norm": 0.9834716320037842, + "learning_rate": 5.7575757575757586e-06, + "loss": 0.4383, + "step": 4300 + }, + { + "epoch": 1.55, + "grad_norm": 1.443036437034607, + "learning_rate": 5.747474747474748e-06, + "loss": 0.4781, + "step": 4310 + }, + { + "epoch": 1.55, + "grad_norm": 1.2556253671646118, + "learning_rate": 5.737373737373738e-06, + "loss": 0.4159, + "step": 4320 + }, + { + "epoch": 1.55, + "grad_norm": 1.272565245628357, + "learning_rate": 5.727272727272728e-06, + "loss": 0.433, + "step": 4330 + }, + { + "epoch": 1.56, + "grad_norm": 1.078231930732727, + "learning_rate": 5.717171717171718e-06, + "loss": 0.4644, + "step": 4340 + }, + { + "epoch": 1.56, + "grad_norm": 1.1723682880401611, + "learning_rate": 5.7070707070707075e-06, + "loss": 0.4555, + "step": 4350 + }, + { + "epoch": 1.56, + "grad_norm": 1.2048708200454712, + "learning_rate": 5.696969696969698e-06, + "loss": 0.4618, + "step": 4360 + }, + { + "epoch": 1.57, + "grad_norm": 0.8913971781730652, + "learning_rate": 5.686868686868687e-06, + "loss": 0.4015, + "step": 4370 + }, + { + "epoch": 1.57, + "grad_norm": 1.1153560876846313, + "learning_rate": 5.6767676767676775e-06, + "loss": 0.5233, + "step": 4380 + }, + { + "epoch": 1.57, + "grad_norm": 1.055448293685913, + "learning_rate": 5.666666666666667e-06, + "loss": 0.398, + "step": 4390 + }, + { + "epoch": 1.58, + "grad_norm": 1.2389256954193115, + "learning_rate": 5.656565656565657e-06, + "loss": 0.453, + "step": 4400 + }, + { + "epoch": 1.58, + "grad_norm": 0.9692911505699158, + "learning_rate": 5.646464646464647e-06, + "loss": 0.3773, + "step": 4410 + }, + { + "epoch": 1.59, + "grad_norm": 0.9325522780418396, + "learning_rate": 5.636363636363636e-06, + "loss": 0.4471, + "step": 4420 + }, + { + "epoch": 1.59, + "grad_norm": 1.0931851863861084, + "learning_rate": 5.626262626262626e-06, + "loss": 0.452, + "step": 4430 + }, + { + "epoch": 1.59, + "grad_norm": 0.8405607342720032, + "learning_rate": 5.616161616161616e-06, + "loss": 0.4743, + "step": 4440 + }, + { + "epoch": 1.6, + "grad_norm": 1.1500225067138672, + "learning_rate": 5.606060606060606e-06, + "loss": 0.4135, + "step": 4450 + }, + { + "epoch": 1.6, + "grad_norm": 1.0774083137512207, + "learning_rate": 5.595959595959597e-06, + "loss": 0.3775, + "step": 4460 + }, + { + "epoch": 1.6, + "grad_norm": 1.1228448152542114, + "learning_rate": 5.585858585858587e-06, + "loss": 0.5094, + "step": 4470 + }, + { + "epoch": 1.61, + "grad_norm": 0.7777533531188965, + "learning_rate": 5.575757575757577e-06, + "loss": 0.4158, + "step": 4480 + }, + { + "epoch": 1.61, + "grad_norm": 1.1433957815170288, + "learning_rate": 5.565656565656566e-06, + "loss": 0.4466, + "step": 4490 + }, + { + "epoch": 1.61, + "grad_norm": 1.3501386642456055, + "learning_rate": 5.555555555555557e-06, + "loss": 0.5255, + "step": 4500 + }, + { + "epoch": 1.62, + "grad_norm": 1.4286872148513794, + "learning_rate": 5.545454545454546e-06, + "loss": 0.5021, + "step": 4510 + }, + { + "epoch": 1.62, + "grad_norm": 0.9643106460571289, + "learning_rate": 5.5353535353535355e-06, + "loss": 0.4004, + "step": 4520 + }, + { + "epoch": 1.62, + "grad_norm": 0.8871945142745972, + "learning_rate": 5.525252525252526e-06, + "loss": 0.3657, + "step": 4530 + }, + { + "epoch": 1.63, + "grad_norm": 1.7113863229751587, + "learning_rate": 5.515151515151515e-06, + "loss": 0.374, + "step": 4540 + }, + { + "epoch": 1.63, + "grad_norm": 1.3388639688491821, + "learning_rate": 5.5050505050505056e-06, + "loss": 0.4632, + "step": 4550 + }, + { + "epoch": 1.64, + "grad_norm": 1.1603946685791016, + "learning_rate": 5.494949494949495e-06, + "loss": 0.4569, + "step": 4560 + }, + { + "epoch": 1.64, + "grad_norm": 1.250316858291626, + "learning_rate": 5.484848484848485e-06, + "loss": 0.3804, + "step": 4570 + }, + { + "epoch": 1.64, + "grad_norm": 1.1444791555404663, + "learning_rate": 5.474747474747475e-06, + "loss": 0.4521, + "step": 4580 + }, + { + "epoch": 1.65, + "grad_norm": 0.804335355758667, + "learning_rate": 5.464646464646465e-06, + "loss": 0.3925, + "step": 4590 + }, + { + "epoch": 1.65, + "grad_norm": 1.2074679136276245, + "learning_rate": 5.4545454545454545e-06, + "loss": 0.3929, + "step": 4600 + }, + { + "epoch": 1.65, + "grad_norm": 1.3282480239868164, + "learning_rate": 5.444444444444445e-06, + "loss": 0.4577, + "step": 4610 + }, + { + "epoch": 1.66, + "grad_norm": 1.075721263885498, + "learning_rate": 5.434343434343434e-06, + "loss": 0.4422, + "step": 4620 + }, + { + "epoch": 1.66, + "grad_norm": 1.4774171113967896, + "learning_rate": 5.424242424242425e-06, + "loss": 0.4462, + "step": 4630 + }, + { + "epoch": 1.66, + "grad_norm": 0.7713523507118225, + "learning_rate": 5.414141414141415e-06, + "loss": 0.4863, + "step": 4640 + }, + { + "epoch": 1.67, + "grad_norm": 0.9707368016242981, + "learning_rate": 5.404040404040405e-06, + "loss": 0.4625, + "step": 4650 + }, + { + "epoch": 1.67, + "grad_norm": 1.6415660381317139, + "learning_rate": 5.3939393939393945e-06, + "loss": 0.5686, + "step": 4660 + }, + { + "epoch": 1.67, + "grad_norm": 0.9006029367446899, + "learning_rate": 5.383838383838385e-06, + "loss": 0.4107, + "step": 4670 + }, + { + "epoch": 1.68, + "grad_norm": 1.580544114112854, + "learning_rate": 5.373737373737374e-06, + "loss": 0.4864, + "step": 4680 + }, + { + "epoch": 1.68, + "grad_norm": 2.001404285430908, + "learning_rate": 5.3636363636363645e-06, + "loss": 0.4311, + "step": 4690 + }, + { + "epoch": 1.69, + "grad_norm": 0.8837793469429016, + "learning_rate": 5.353535353535354e-06, + "loss": 0.5013, + "step": 4700 + }, + { + "epoch": 1.69, + "grad_norm": 1.3012306690216064, + "learning_rate": 5.343434343434344e-06, + "loss": 0.4551, + "step": 4710 + }, + { + "epoch": 1.69, + "grad_norm": 0.9690237641334534, + "learning_rate": 5.333333333333334e-06, + "loss": 0.4975, + "step": 4720 + }, + { + "epoch": 1.7, + "grad_norm": 1.2548136711120605, + "learning_rate": 5.323232323232324e-06, + "loss": 0.3947, + "step": 4730 + }, + { + "epoch": 1.7, + "grad_norm": 1.3401527404785156, + "learning_rate": 5.313131313131313e-06, + "loss": 0.4532, + "step": 4740 + }, + { + "epoch": 1.7, + "grad_norm": 1.481223225593567, + "learning_rate": 5.303030303030303e-06, + "loss": 0.4406, + "step": 4750 + }, + { + "epoch": 1.71, + "grad_norm": 1.0860910415649414, + "learning_rate": 5.292929292929293e-06, + "loss": 0.4261, + "step": 4760 + }, + { + "epoch": 1.71, + "grad_norm": 1.8275758028030396, + "learning_rate": 5.2828282828282825e-06, + "loss": 0.4282, + "step": 4770 + }, + { + "epoch": 1.71, + "grad_norm": 0.8796372413635254, + "learning_rate": 5.272727272727273e-06, + "loss": 0.4372, + "step": 4780 + }, + { + "epoch": 1.72, + "grad_norm": 1.7672245502471924, + "learning_rate": 5.262626262626262e-06, + "loss": 0.4625, + "step": 4790 + }, + { + "epoch": 1.72, + "grad_norm": 1.187982439994812, + "learning_rate": 5.252525252525253e-06, + "loss": 0.4431, + "step": 4800 + }, + { + "epoch": 1.72, + "grad_norm": 1.0611240863800049, + "learning_rate": 5.242424242424244e-06, + "loss": 0.4097, + "step": 4810 + }, + { + "epoch": 1.73, + "grad_norm": 1.259895920753479, + "learning_rate": 5.232323232323233e-06, + "loss": 0.42, + "step": 4820 + }, + { + "epoch": 1.73, + "grad_norm": 1.0518171787261963, + "learning_rate": 5.2222222222222226e-06, + "loss": 0.4103, + "step": 4830 + }, + { + "epoch": 1.74, + "grad_norm": 1.1404093503952026, + "learning_rate": 5.212121212121213e-06, + "loss": 0.4167, + "step": 4840 + }, + { + "epoch": 1.74, + "grad_norm": 1.3545587062835693, + "learning_rate": 5.202020202020202e-06, + "loss": 0.4231, + "step": 4850 + }, + { + "epoch": 1.74, + "grad_norm": 1.3752548694610596, + "learning_rate": 5.191919191919193e-06, + "loss": 0.4385, + "step": 4860 + }, + { + "epoch": 1.75, + "grad_norm": 1.0795814990997314, + "learning_rate": 5.181818181818182e-06, + "loss": 0.5562, + "step": 4870 + }, + { + "epoch": 1.75, + "grad_norm": 1.176770806312561, + "learning_rate": 5.171717171717172e-06, + "loss": 0.3841, + "step": 4880 + }, + { + "epoch": 1.75, + "grad_norm": 1.0362882614135742, + "learning_rate": 5.161616161616162e-06, + "loss": 0.412, + "step": 4890 + }, + { + "epoch": 1.76, + "grad_norm": 0.854006826877594, + "learning_rate": 5.151515151515152e-06, + "loss": 0.4833, + "step": 4900 + }, + { + "epoch": 1.76, + "grad_norm": 1.257077693939209, + "learning_rate": 5.1414141414141415e-06, + "loss": 0.4173, + "step": 4910 + }, + { + "epoch": 1.76, + "grad_norm": 1.0905293226242065, + "learning_rate": 5.131313131313132e-06, + "loss": 0.4145, + "step": 4920 + }, + { + "epoch": 1.77, + "grad_norm": 1.1781564950942993, + "learning_rate": 5.121212121212121e-06, + "loss": 0.4619, + "step": 4930 + }, + { + "epoch": 1.77, + "grad_norm": 0.746283233165741, + "learning_rate": 5.1111111111111115e-06, + "loss": 0.4203, + "step": 4940 + }, + { + "epoch": 1.78, + "grad_norm": 1.3257133960723877, + "learning_rate": 5.101010101010101e-06, + "loss": 0.442, + "step": 4950 + }, + { + "epoch": 1.78, + "grad_norm": 0.8805459141731262, + "learning_rate": 5.090909090909091e-06, + "loss": 0.4587, + "step": 4960 + }, + { + "epoch": 1.78, + "grad_norm": 1.0892632007598877, + "learning_rate": 5.0808080808080815e-06, + "loss": 0.4005, + "step": 4970 + }, + { + "epoch": 1.79, + "grad_norm": 1.2787294387817383, + "learning_rate": 5.070707070707072e-06, + "loss": 0.4589, + "step": 4980 + }, + { + "epoch": 1.79, + "grad_norm": 0.8316894173622131, + "learning_rate": 5.060606060606061e-06, + "loss": 0.4888, + "step": 4990 + }, + { + "epoch": 1.79, + "grad_norm": 1.487030029296875, + "learning_rate": 5.0505050505050515e-06, + "loss": 0.3977, + "step": 5000 + }, + { + "epoch": 1.8, + "grad_norm": 0.9546489119529724, + "learning_rate": 5.040404040404041e-06, + "loss": 0.5509, + "step": 5010 + }, + { + "epoch": 1.8, + "grad_norm": 1.015142560005188, + "learning_rate": 5.030303030303031e-06, + "loss": 0.3927, + "step": 5020 + }, + { + "epoch": 1.8, + "grad_norm": 1.2369190454483032, + "learning_rate": 5.020202020202021e-06, + "loss": 0.4477, + "step": 5030 + }, + { + "epoch": 1.81, + "grad_norm": 1.1981439590454102, + "learning_rate": 5.010101010101011e-06, + "loss": 0.4566, + "step": 5040 + }, + { + "epoch": 1.81, + "grad_norm": 1.507062554359436, + "learning_rate": 5e-06, + "loss": 0.3958, + "step": 5050 + }, + { + "epoch": 1.81, + "grad_norm": 1.2192580699920654, + "learning_rate": 4.98989898989899e-06, + "loss": 0.4423, + "step": 5060 + }, + { + "epoch": 1.82, + "grad_norm": 1.2157553434371948, + "learning_rate": 4.97979797979798e-06, + "loss": 0.4268, + "step": 5070 + }, + { + "epoch": 1.82, + "grad_norm": 1.0647870302200317, + "learning_rate": 4.9696969696969696e-06, + "loss": 0.4907, + "step": 5080 + }, + { + "epoch": 1.83, + "grad_norm": 1.071527123451233, + "learning_rate": 4.95959595959596e-06, + "loss": 0.4471, + "step": 5090 + }, + { + "epoch": 1.83, + "grad_norm": 1.6718330383300781, + "learning_rate": 4.94949494949495e-06, + "loss": 0.4899, + "step": 5100 + }, + { + "epoch": 1.83, + "grad_norm": 1.4382431507110596, + "learning_rate": 4.93939393939394e-06, + "loss": 0.4316, + "step": 5110 + }, + { + "epoch": 1.84, + "grad_norm": 1.5574830770492554, + "learning_rate": 4.92929292929293e-06, + "loss": 0.4293, + "step": 5120 + }, + { + "epoch": 1.84, + "grad_norm": 1.417203664779663, + "learning_rate": 4.919191919191919e-06, + "loss": 0.3967, + "step": 5130 + }, + { + "epoch": 1.84, + "grad_norm": 0.9984129667282104, + "learning_rate": 4.90909090909091e-06, + "loss": 0.4927, + "step": 5140 + }, + { + "epoch": 1.85, + "grad_norm": 1.204757809638977, + "learning_rate": 4.898989898989899e-06, + "loss": 0.5291, + "step": 5150 + }, + { + "epoch": 1.85, + "grad_norm": 0.959578812122345, + "learning_rate": 4.888888888888889e-06, + "loss": 0.4275, + "step": 5160 + }, + { + "epoch": 1.85, + "grad_norm": 1.5679115056991577, + "learning_rate": 4.878787878787879e-06, + "loss": 0.4559, + "step": 5170 + }, + { + "epoch": 1.86, + "grad_norm": 0.9421458840370178, + "learning_rate": 4.868686868686869e-06, + "loss": 0.4496, + "step": 5180 + }, + { + "epoch": 1.86, + "grad_norm": 1.3694195747375488, + "learning_rate": 4.858585858585859e-06, + "loss": 0.4168, + "step": 5190 + }, + { + "epoch": 1.86, + "grad_norm": 0.9521112442016602, + "learning_rate": 4.848484848484849e-06, + "loss": 0.469, + "step": 5200 + }, + { + "epoch": 1.87, + "grad_norm": 1.3057090044021606, + "learning_rate": 4.838383838383839e-06, + "loss": 0.5104, + "step": 5210 + }, + { + "epoch": 1.87, + "grad_norm": 1.2285308837890625, + "learning_rate": 4.8282828282828285e-06, + "loss": 0.499, + "step": 5220 + }, + { + "epoch": 1.88, + "grad_norm": 1.2023276090621948, + "learning_rate": 4.818181818181819e-06, + "loss": 0.4013, + "step": 5230 + }, + { + "epoch": 1.88, + "grad_norm": 1.4066063165664673, + "learning_rate": 4.808080808080808e-06, + "loss": 0.4593, + "step": 5240 + }, + { + "epoch": 1.88, + "grad_norm": 1.085758090019226, + "learning_rate": 4.7979797979797985e-06, + "loss": 0.3793, + "step": 5250 + }, + { + "epoch": 1.89, + "grad_norm": 1.192099928855896, + "learning_rate": 4.787878787878788e-06, + "loss": 0.4223, + "step": 5260 + }, + { + "epoch": 1.89, + "grad_norm": 1.4430789947509766, + "learning_rate": 4.777777777777778e-06, + "loss": 0.407, + "step": 5270 + }, + { + "epoch": 1.89, + "grad_norm": 1.2750104665756226, + "learning_rate": 4.7676767676767685e-06, + "loss": 0.435, + "step": 5280 + }, + { + "epoch": 1.9, + "grad_norm": 0.9866845607757568, + "learning_rate": 4.757575757575758e-06, + "loss": 0.4411, + "step": 5290 + }, + { + "epoch": 1.9, + "grad_norm": 1.2444196939468384, + "learning_rate": 4.747474747474748e-06, + "loss": 0.4571, + "step": 5300 + }, + { + "epoch": 1.9, + "grad_norm": 1.0778636932373047, + "learning_rate": 4.737373737373738e-06, + "loss": 0.3838, + "step": 5310 + }, + { + "epoch": 1.91, + "grad_norm": 1.4677258729934692, + "learning_rate": 4.727272727272728e-06, + "loss": 0.4906, + "step": 5320 + }, + { + "epoch": 1.91, + "grad_norm": 1.2698739767074585, + "learning_rate": 4.717171717171717e-06, + "loss": 0.4368, + "step": 5330 + }, + { + "epoch": 1.92, + "grad_norm": 1.499267578125, + "learning_rate": 4.707070707070707e-06, + "loss": 0.4075, + "step": 5340 + }, + { + "epoch": 1.92, + "grad_norm": 1.106027364730835, + "learning_rate": 4.696969696969698e-06, + "loss": 0.482, + "step": 5350 + }, + { + "epoch": 1.92, + "grad_norm": 0.8394500017166138, + "learning_rate": 4.6868686868686874e-06, + "loss": 0.4472, + "step": 5360 + }, + { + "epoch": 1.93, + "grad_norm": 1.4100090265274048, + "learning_rate": 4.676767676767677e-06, + "loss": 0.4038, + "step": 5370 + }, + { + "epoch": 1.93, + "grad_norm": 1.072623610496521, + "learning_rate": 4.666666666666667e-06, + "loss": 0.4491, + "step": 5380 + }, + { + "epoch": 1.93, + "grad_norm": 1.120101809501648, + "learning_rate": 4.656565656565657e-06, + "loss": 0.4316, + "step": 5390 + }, + { + "epoch": 1.94, + "grad_norm": 1.4536925554275513, + "learning_rate": 4.646464646464647e-06, + "loss": 0.425, + "step": 5400 + }, + { + "epoch": 1.94, + "grad_norm": 1.1416407823562622, + "learning_rate": 4.636363636363636e-06, + "loss": 0.4577, + "step": 5410 + }, + { + "epoch": 1.94, + "grad_norm": 0.91941237449646, + "learning_rate": 4.626262626262627e-06, + "loss": 0.4237, + "step": 5420 + }, + { + "epoch": 1.95, + "grad_norm": 1.3551466464996338, + "learning_rate": 4.616161616161616e-06, + "loss": 0.4854, + "step": 5430 + }, + { + "epoch": 1.95, + "grad_norm": 1.127760648727417, + "learning_rate": 4.606060606060606e-06, + "loss": 0.4674, + "step": 5440 + }, + { + "epoch": 1.95, + "grad_norm": 1.0127209424972534, + "learning_rate": 4.595959595959597e-06, + "loss": 0.347, + "step": 5450 + }, + { + "epoch": 1.96, + "grad_norm": 1.1834722757339478, + "learning_rate": 4.585858585858586e-06, + "loss": 0.4954, + "step": 5460 + }, + { + "epoch": 1.96, + "grad_norm": 1.0718438625335693, + "learning_rate": 4.575757575757576e-06, + "loss": 0.4073, + "step": 5470 + }, + { + "epoch": 1.97, + "grad_norm": 1.146881341934204, + "learning_rate": 4.565656565656566e-06, + "loss": 0.4052, + "step": 5480 + }, + { + "epoch": 1.97, + "grad_norm": 1.426000714302063, + "learning_rate": 4.555555555555556e-06, + "loss": 0.4552, + "step": 5490 + }, + { + "epoch": 1.97, + "grad_norm": 1.4062806367874146, + "learning_rate": 4.5454545454545455e-06, + "loss": 0.3671, + "step": 5500 + }, + { + "epoch": 1.98, + "grad_norm": 1.276281714439392, + "learning_rate": 4.535353535353536e-06, + "loss": 0.3792, + "step": 5510 + }, + { + "epoch": 1.98, + "grad_norm": 1.0640497207641602, + "learning_rate": 4.525252525252526e-06, + "loss": 0.5246, + "step": 5520 + }, + { + "epoch": 1.98, + "grad_norm": 1.0342713594436646, + "learning_rate": 4.5151515151515155e-06, + "loss": 0.5189, + "step": 5530 + }, + { + "epoch": 1.99, + "grad_norm": 2.512465000152588, + "learning_rate": 4.505050505050506e-06, + "loss": 0.4245, + "step": 5540 + }, + { + "epoch": 1.99, + "grad_norm": 1.3084385395050049, + "learning_rate": 4.494949494949495e-06, + "loss": 0.462, + "step": 5550 + }, + { + "epoch": 1.99, + "grad_norm": 1.2058395147323608, + "learning_rate": 4.4848484848484855e-06, + "loss": 0.466, + "step": 5560 + }, + { + "epoch": 2.0, + "grad_norm": 1.2008490562438965, + "learning_rate": 4.474747474747475e-06, + "loss": 0.4181, + "step": 5570 + }, + { + "epoch": 2.0, + "grad_norm": 0.923298716545105, + "learning_rate": 4.464646464646465e-06, + "loss": 0.408, + "step": 5580 + }, + { + "epoch": 2.0, + "grad_norm": 1.1701871156692505, + "learning_rate": 4.454545454545455e-06, + "loss": 0.4696, + "step": 5590 + }, + { + "epoch": 2.01, + "grad_norm": 1.1120387315750122, + "learning_rate": 4.444444444444444e-06, + "loss": 0.432, + "step": 5600 + }, + { + "epoch": 2.01, + "grad_norm": 1.445493221282959, + "learning_rate": 4.434343434343435e-06, + "loss": 0.4397, + "step": 5610 + }, + { + "epoch": 2.02, + "grad_norm": 0.978252649307251, + "learning_rate": 4.424242424242425e-06, + "loss": 0.4448, + "step": 5620 + }, + { + "epoch": 2.02, + "grad_norm": 1.1885161399841309, + "learning_rate": 4.414141414141415e-06, + "loss": 0.3415, + "step": 5630 + }, + { + "epoch": 2.02, + "grad_norm": 1.4562844038009644, + "learning_rate": 4.4040404040404044e-06, + "loss": 0.4312, + "step": 5640 + }, + { + "epoch": 2.03, + "grad_norm": 1.5203760862350464, + "learning_rate": 4.393939393939394e-06, + "loss": 0.4395, + "step": 5650 + }, + { + "epoch": 2.03, + "grad_norm": 1.4762277603149414, + "learning_rate": 4.383838383838384e-06, + "loss": 0.3605, + "step": 5660 + }, + { + "epoch": 2.03, + "grad_norm": 2.0301284790039062, + "learning_rate": 4.373737373737374e-06, + "loss": 0.3548, + "step": 5670 + }, + { + "epoch": 2.04, + "grad_norm": 1.2977855205535889, + "learning_rate": 4.363636363636364e-06, + "loss": 0.4309, + "step": 5680 + }, + { + "epoch": 2.04, + "grad_norm": 1.4677530527114868, + "learning_rate": 4.353535353535353e-06, + "loss": 0.4431, + "step": 5690 + }, + { + "epoch": 2.04, + "grad_norm": 1.1909211874008179, + "learning_rate": 4.343434343434344e-06, + "loss": 0.3571, + "step": 5700 + }, + { + "epoch": 2.05, + "grad_norm": 1.2588609457015991, + "learning_rate": 4.333333333333334e-06, + "loss": 0.4226, + "step": 5710 + }, + { + "epoch": 2.05, + "grad_norm": 1.4346741437911987, + "learning_rate": 4.323232323232323e-06, + "loss": 0.3029, + "step": 5720 + }, + { + "epoch": 2.05, + "grad_norm": 1.5790741443634033, + "learning_rate": 4.313131313131314e-06, + "loss": 0.4236, + "step": 5730 + }, + { + "epoch": 2.06, + "grad_norm": 0.9452656507492065, + "learning_rate": 4.303030303030303e-06, + "loss": 0.3965, + "step": 5740 + }, + { + "epoch": 2.06, + "grad_norm": 1.3782027959823608, + "learning_rate": 4.292929292929293e-06, + "loss": 0.3925, + "step": 5750 + }, + { + "epoch": 2.07, + "grad_norm": 1.4818460941314697, + "learning_rate": 4.282828282828283e-06, + "loss": 0.4207, + "step": 5760 + }, + { + "epoch": 2.07, + "grad_norm": 1.8508193492889404, + "learning_rate": 4.272727272727273e-06, + "loss": 0.3512, + "step": 5770 + }, + { + "epoch": 2.07, + "grad_norm": 0.9073811173439026, + "learning_rate": 4.262626262626263e-06, + "loss": 0.3946, + "step": 5780 + }, + { + "epoch": 2.08, + "grad_norm": 1.285936951637268, + "learning_rate": 4.252525252525253e-06, + "loss": 0.4387, + "step": 5790 + }, + { + "epoch": 2.08, + "grad_norm": 1.3050516843795776, + "learning_rate": 4.242424242424243e-06, + "loss": 0.5095, + "step": 5800 + }, + { + "epoch": 2.08, + "grad_norm": 1.601285696029663, + "learning_rate": 4.2323232323232325e-06, + "loss": 0.3595, + "step": 5810 + }, + { + "epoch": 2.09, + "grad_norm": 1.4098488092422485, + "learning_rate": 4.222222222222223e-06, + "loss": 0.3726, + "step": 5820 + }, + { + "epoch": 2.09, + "grad_norm": 1.3759149312973022, + "learning_rate": 4.212121212121212e-06, + "loss": 0.3576, + "step": 5830 + }, + { + "epoch": 2.09, + "grad_norm": 1.1540992259979248, + "learning_rate": 4.2020202020202026e-06, + "loss": 0.4564, + "step": 5840 + }, + { + "epoch": 2.1, + "grad_norm": 1.2275508642196655, + "learning_rate": 4.191919191919192e-06, + "loss": 0.4272, + "step": 5850 + }, + { + "epoch": 2.1, + "grad_norm": 2.126412868499756, + "learning_rate": 4.181818181818182e-06, + "loss": 0.403, + "step": 5860 + }, + { + "epoch": 2.11, + "grad_norm": 1.4939548969268799, + "learning_rate": 4.1717171717171726e-06, + "loss": 0.4235, + "step": 5870 + }, + { + "epoch": 2.11, + "grad_norm": 1.2192233800888062, + "learning_rate": 4.161616161616162e-06, + "loss": 0.4342, + "step": 5880 + }, + { + "epoch": 2.11, + "grad_norm": 1.251043438911438, + "learning_rate": 4.151515151515152e-06, + "loss": 0.3835, + "step": 5890 + }, + { + "epoch": 2.12, + "grad_norm": 1.4634102582931519, + "learning_rate": 4.141414141414142e-06, + "loss": 0.424, + "step": 5900 + }, + { + "epoch": 2.12, + "grad_norm": 1.5133440494537354, + "learning_rate": 4.131313131313132e-06, + "loss": 0.4223, + "step": 5910 + }, + { + "epoch": 2.12, + "grad_norm": 0.8985018730163574, + "learning_rate": 4.1212121212121215e-06, + "loss": 0.5013, + "step": 5920 + }, + { + "epoch": 2.13, + "grad_norm": 1.4917223453521729, + "learning_rate": 4.111111111111111e-06, + "loss": 0.4636, + "step": 5930 + }, + { + "epoch": 2.13, + "grad_norm": 1.6001038551330566, + "learning_rate": 4.101010101010101e-06, + "loss": 0.3814, + "step": 5940 + }, + { + "epoch": 2.13, + "grad_norm": 1.5513330698013306, + "learning_rate": 4.0909090909090915e-06, + "loss": 0.4455, + "step": 5950 + }, + { + "epoch": 2.14, + "grad_norm": 1.8656607866287231, + "learning_rate": 4.080808080808081e-06, + "loss": 0.4245, + "step": 5960 + }, + { + "epoch": 2.14, + "grad_norm": 1.4433702230453491, + "learning_rate": 4.070707070707071e-06, + "loss": 0.4544, + "step": 5970 + }, + { + "epoch": 2.14, + "grad_norm": 1.2587636709213257, + "learning_rate": 4.060606060606061e-06, + "loss": 0.4406, + "step": 5980 + }, + { + "epoch": 2.15, + "grad_norm": 1.6164227724075317, + "learning_rate": 4.050505050505051e-06, + "loss": 0.3538, + "step": 5990 + }, + { + "epoch": 2.15, + "grad_norm": 1.4971836805343628, + "learning_rate": 4.04040404040404e-06, + "loss": 0.4548, + "step": 6000 + }, + { + "epoch": 2.15, + "eval_loss": 0.6277722716331482, + "eval_runtime": 334.0785, + "eval_samples_per_second": 2.993, + "eval_steps_per_second": 2.993, + "step": 6000 + } + ], + "logging_steps": 10, + "max_steps": 10000, + "num_input_tokens_seen": 0, + "num_train_epochs": 4, + "save_steps": 2000, + "total_flos": 4.89616507404288e+17, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}