{ "best_metric": 0.848235547542572, "best_model_checkpoint": "Action_Classification/checkpoint-300", "epoch": 15.0, "eval_steps": 100, "global_step": 4710, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.03, "grad_norm": 6.323575019836426, "learning_rate": 0.00019957537154989386, "loss": 0.4771, "step": 10 }, { "epoch": 0.06, "grad_norm": 3.951721429824829, "learning_rate": 0.0001991507430997877, "loss": 0.4721, "step": 20 }, { "epoch": 0.1, "grad_norm": 4.95866584777832, "learning_rate": 0.00019872611464968155, "loss": 0.5038, "step": 30 }, { "epoch": 0.13, "grad_norm": 5.4051642417907715, "learning_rate": 0.00019830148619957538, "loss": 0.5058, "step": 40 }, { "epoch": 0.16, "grad_norm": 5.13778018951416, "learning_rate": 0.00019787685774946923, "loss": 0.508, "step": 50 }, { "epoch": 0.19, "grad_norm": 3.9513375759124756, "learning_rate": 0.00019745222929936306, "loss": 0.5479, "step": 60 }, { "epoch": 0.22, "grad_norm": 3.7185003757476807, "learning_rate": 0.00019702760084925691, "loss": 0.4929, "step": 70 }, { "epoch": 0.25, "grad_norm": 3.2211806774139404, "learning_rate": 0.00019660297239915074, "loss": 0.4391, "step": 80 }, { "epoch": 0.29, "grad_norm": 4.076002597808838, "learning_rate": 0.0001961783439490446, "loss": 0.3744, "step": 90 }, { "epoch": 0.32, "grad_norm": 5.571686744689941, "learning_rate": 0.00019575371549893845, "loss": 0.3922, "step": 100 }, { "epoch": 0.32, "eval_accuracy": 0.6933333333333334, "eval_confusion_matrix": [ [ 66, 1, 9, 6, 1, 5, 1, 3, 7, 1 ], [ 41, 96, 0, 0, 8, 0, 2, 1, 45, 0 ], [ 2, 0, 46, 1, 1, 7, 4, 0, 1, 3 ], [ 9, 1, 4, 19, 5, 3, 2, 1, 4, 4 ], [ 0, 2, 0, 3, 84, 2, 1, 0, 0, 1 ], [ 4, 1, 3, 2, 0, 55, 3, 1, 3, 0 ], [ 0, 0, 1, 0, 0, 1, 54, 0, 3, 0 ], [ 5, 1, 4, 1, 0, 1, 0, 70, 1, 0 ], [ 5, 12, 0, 1, 1, 0, 14, 0, 147, 0 ], [ 9, 0, 1, 38, 3, 1, 4, 4, 2, 91 ] ], "eval_loss": 1.0780633687973022, "eval_runtime": 15.488, "eval_samples_per_second": 67.794, "eval_steps_per_second": 4.261, "step": 100 }, { "epoch": 0.35, "grad_norm": 2.284886121749878, "learning_rate": 0.00019532908704883228, "loss": 0.5509, "step": 110 }, { "epoch": 0.38, "grad_norm": 2.23751163482666, "learning_rate": 0.00019490445859872614, "loss": 0.4004, "step": 120 }, { "epoch": 0.41, "grad_norm": 3.910186290740967, "learning_rate": 0.00019447983014861996, "loss": 0.4871, "step": 130 }, { "epoch": 0.45, "grad_norm": 5.422680377960205, "learning_rate": 0.00019405520169851382, "loss": 0.3791, "step": 140 }, { "epoch": 0.48, "grad_norm": 3.270318031311035, "learning_rate": 0.00019363057324840765, "loss": 0.4276, "step": 150 }, { "epoch": 0.51, "grad_norm": 4.393375873565674, "learning_rate": 0.0001932059447983015, "loss": 0.5457, "step": 160 }, { "epoch": 0.54, "grad_norm": 4.6365885734558105, "learning_rate": 0.00019278131634819533, "loss": 0.4431, "step": 170 }, { "epoch": 0.57, "grad_norm": 3.3216943740844727, "learning_rate": 0.00019235668789808918, "loss": 0.3425, "step": 180 }, { "epoch": 0.61, "grad_norm": 4.078379154205322, "learning_rate": 0.000191932059447983, "loss": 0.4102, "step": 190 }, { "epoch": 0.64, "grad_norm": 1.2445045709609985, "learning_rate": 0.00019150743099787687, "loss": 0.439, "step": 200 }, { "epoch": 0.64, "eval_accuracy": 0.7561904761904762, "eval_confusion_matrix": [ [ 73, 3, 6, 4, 0, 3, 2, 3, 3, 3 ], [ 30, 121, 1, 0, 1, 0, 8, 0, 32, 0 ], [ 1, 0, 47, 1, 1, 9, 1, 0, 1, 4 ], [ 7, 0, 5, 28, 5, 1, 0, 1, 2, 3 ], [ 0, 2, 0, 1, 88, 0, 1, 0, 0, 1 ], [ 4, 1, 5, 3, 2, 51, 0, 1, 2, 3 ], [ 0, 1, 1, 0, 0, 0, 56, 0, 1, 0 ], [ 4, 2, 1, 0, 0, 0, 1, 74, 1, 0 ], [ 4, 28, 0, 1, 0, 0, 19, 2, 125, 1 ], [ 3, 0, 1, 15, 1, 0, 1, 1, 0, 131 ] ], "eval_loss": 0.8592283129692078, "eval_runtime": 15.2608, "eval_samples_per_second": 68.804, "eval_steps_per_second": 4.325, "step": 200 }, { "epoch": 0.67, "grad_norm": 5.532979965209961, "learning_rate": 0.00019108280254777072, "loss": 0.3894, "step": 210 }, { "epoch": 0.7, "grad_norm": 1.3239492177963257, "learning_rate": 0.00019065817409766455, "loss": 0.3737, "step": 220 }, { "epoch": 0.73, "grad_norm": 7.039944171905518, "learning_rate": 0.0001902335456475584, "loss": 0.5094, "step": 230 }, { "epoch": 0.76, "grad_norm": 3.1441848278045654, "learning_rate": 0.00018980891719745223, "loss": 0.4595, "step": 240 }, { "epoch": 0.8, "grad_norm": 4.0012054443359375, "learning_rate": 0.0001893842887473461, "loss": 0.4973, "step": 250 }, { "epoch": 0.83, "grad_norm": 3.918905735015869, "learning_rate": 0.00018895966029723992, "loss": 0.5684, "step": 260 }, { "epoch": 0.86, "grad_norm": 3.0025856494903564, "learning_rate": 0.00018853503184713377, "loss": 0.4679, "step": 270 }, { "epoch": 0.89, "grad_norm": 4.386856555938721, "learning_rate": 0.0001881104033970276, "loss": 0.3681, "step": 280 }, { "epoch": 0.92, "grad_norm": 4.106396198272705, "learning_rate": 0.00018768577494692146, "loss": 0.5392, "step": 290 }, { "epoch": 0.96, "grad_norm": 3.501603126525879, "learning_rate": 0.0001872611464968153, "loss": 0.4664, "step": 300 }, { "epoch": 0.96, "eval_accuracy": 0.7628571428571429, "eval_confusion_matrix": [ [ 45, 5, 20, 4, 2, 6, 4, 8, 3, 3 ], [ 5, 154, 4, 2, 1, 2, 6, 1, 17, 1 ], [ 0, 0, 51, 1, 2, 8, 1, 0, 0, 2 ], [ 1, 0, 8, 26, 8, 5, 0, 0, 1, 3 ], [ 0, 1, 0, 0, 89, 3, 0, 0, 0, 0 ], [ 0, 1, 11, 3, 1, 55, 0, 1, 0, 0 ], [ 0, 1, 1, 0, 3, 3, 51, 0, 0, 0 ], [ 0, 0, 10, 1, 0, 4, 0, 68, 0, 0 ], [ 0, 26, 5, 0, 1, 3, 16, 1, 127, 1 ], [ 3, 0, 2, 9, 2, 1, 0, 1, 0, 135 ] ], "eval_loss": 0.848235547542572, "eval_runtime": 15.3566, "eval_samples_per_second": 68.375, "eval_steps_per_second": 4.298, "step": 300 }, { "epoch": 0.99, "grad_norm": 3.331725835800171, "learning_rate": 0.00018683651804670914, "loss": 0.493, "step": 310 }, { "epoch": 1.02, "grad_norm": 4.574372291564941, "learning_rate": 0.000186411889596603, "loss": 0.3776, "step": 320 }, { "epoch": 1.05, "grad_norm": 4.206468105316162, "learning_rate": 0.00018598726114649682, "loss": 0.4086, "step": 330 }, { "epoch": 1.08, "grad_norm": 4.6000657081604, "learning_rate": 0.00018556263269639068, "loss": 0.4096, "step": 340 }, { "epoch": 1.11, "grad_norm": 2.429077625274658, "learning_rate": 0.0001851380042462845, "loss": 0.3707, "step": 350 }, { "epoch": 1.15, "grad_norm": 1.4174879789352417, "learning_rate": 0.00018471337579617836, "loss": 0.3507, "step": 360 }, { "epoch": 1.18, "grad_norm": 5.691073894500732, "learning_rate": 0.0001842887473460722, "loss": 0.3365, "step": 370 }, { "epoch": 1.21, "grad_norm": 4.105412483215332, "learning_rate": 0.00018386411889596604, "loss": 0.3132, "step": 380 }, { "epoch": 1.24, "grad_norm": 1.423787236213684, "learning_rate": 0.00018343949044585987, "loss": 0.2726, "step": 390 }, { "epoch": 1.27, "grad_norm": 3.5701773166656494, "learning_rate": 0.00018301486199575373, "loss": 0.2929, "step": 400 }, { "epoch": 1.27, "eval_accuracy": 0.679047619047619, "eval_confusion_matrix": [ [ 65, 3, 9, 7, 1, 1, 2, 2, 10, 0 ], [ 38, 113, 1, 0, 1, 0, 5, 0, 35, 0 ], [ 3, 0, 54, 4, 1, 1, 2, 0, 0, 0 ], [ 8, 2, 5, 31, 5, 0, 0, 0, 1, 0 ], [ 0, 2, 6, 3, 80, 0, 1, 1, 0, 0 ], [ 6, 2, 16, 8, 1, 34, 1, 1, 3, 0 ], [ 1, 2, 1, 0, 0, 0, 55, 0, 0, 0 ], [ 6, 2, 6, 2, 0, 0, 0, 66, 1, 0 ], [ 3, 24, 2, 2, 0, 0, 14, 0, 135, 0 ], [ 9, 2, 4, 56, 1, 0, 1, 0, 0, 80 ] ], "eval_loss": 1.1280611753463745, "eval_runtime": 15.4285, "eval_samples_per_second": 68.056, "eval_steps_per_second": 4.278, "step": 400 }, { "epoch": 1.31, "grad_norm": 5.247598171234131, "learning_rate": 0.00018259023354564758, "loss": 0.3167, "step": 410 }, { "epoch": 1.34, "grad_norm": 1.9821741580963135, "learning_rate": 0.0001821656050955414, "loss": 0.3745, "step": 420 }, { "epoch": 1.37, "grad_norm": 3.7514052391052246, "learning_rate": 0.00018174097664543526, "loss": 0.3996, "step": 430 }, { "epoch": 1.4, "grad_norm": 4.241259574890137, "learning_rate": 0.0001813163481953291, "loss": 0.2942, "step": 440 }, { "epoch": 1.43, "grad_norm": 3.530998945236206, "learning_rate": 0.00018089171974522295, "loss": 0.3888, "step": 450 }, { "epoch": 1.46, "grad_norm": 1.6759068965911865, "learning_rate": 0.00018046709129511678, "loss": 0.26, "step": 460 }, { "epoch": 1.5, "grad_norm": 3.3739516735076904, "learning_rate": 0.00018004246284501063, "loss": 0.4405, "step": 470 }, { "epoch": 1.53, "grad_norm": 4.361608982086182, "learning_rate": 0.00017961783439490446, "loss": 0.4011, "step": 480 }, { "epoch": 1.56, "grad_norm": 2.788034200668335, "learning_rate": 0.00017919320594479831, "loss": 0.3427, "step": 490 }, { "epoch": 1.59, "grad_norm": 4.486495494842529, "learning_rate": 0.00017876857749469217, "loss": 0.4188, "step": 500 }, { "epoch": 1.59, "eval_accuracy": 0.6657142857142857, "eval_confusion_matrix": [ [ 61, 2, 11, 6, 3, 5, 2, 5, 4, 1 ], [ 53, 85, 5, 0, 8, 5, 3, 6, 28, 0 ], [ 0, 0, 51, 2, 2, 5, 1, 3, 0, 1 ], [ 2, 1, 4, 34, 8, 0, 0, 2, 1, 0 ], [ 0, 1, 0, 1, 89, 0, 1, 0, 1, 0 ], [ 1, 0, 7, 4, 5, 48, 1, 5, 1, 0 ], [ 0, 1, 1, 0, 3, 0, 54, 0, 0, 0 ], [ 5, 1, 1, 1, 0, 3, 0, 72, 0, 0 ], [ 11, 18, 0, 0, 2, 2, 17, 8, 122, 0 ], [ 1, 1, 2, 42, 8, 1, 10, 4, 1, 83 ] ], "eval_loss": 1.185118556022644, "eval_runtime": 15.3843, "eval_samples_per_second": 68.251, "eval_steps_per_second": 4.29, "step": 500 }, { "epoch": 1.62, "grad_norm": 4.058138370513916, "learning_rate": 0.000178343949044586, "loss": 0.3391, "step": 510 }, { "epoch": 1.66, "grad_norm": 3.33333683013916, "learning_rate": 0.00017791932059447985, "loss": 0.3716, "step": 520 }, { "epoch": 1.69, "grad_norm": 4.987284183502197, "learning_rate": 0.00017749469214437368, "loss": 0.421, "step": 530 }, { "epoch": 1.72, "grad_norm": 4.609795570373535, "learning_rate": 0.00017707006369426754, "loss": 0.3626, "step": 540 }, { "epoch": 1.75, "grad_norm": 2.64127254486084, "learning_rate": 0.00017664543524416136, "loss": 0.3032, "step": 550 }, { "epoch": 1.78, "grad_norm": 5.4108357429504395, "learning_rate": 0.00017622080679405522, "loss": 0.3659, "step": 560 }, { "epoch": 1.82, "grad_norm": 1.7708959579467773, "learning_rate": 0.00017579617834394905, "loss": 0.3496, "step": 570 }, { "epoch": 1.85, "grad_norm": 4.026036262512207, "learning_rate": 0.0001753715498938429, "loss": 0.3223, "step": 580 }, { "epoch": 1.88, "grad_norm": 5.661407470703125, "learning_rate": 0.00017494692144373676, "loss": 0.3881, "step": 590 }, { "epoch": 1.91, "grad_norm": 3.0189332962036133, "learning_rate": 0.00017452229299363059, "loss": 0.3668, "step": 600 }, { "epoch": 1.91, "eval_accuracy": 0.7466666666666667, "eval_confusion_matrix": [ [ 53, 11, 11, 5, 0, 3, 1, 4, 10, 2 ], [ 3, 145, 5, 0, 1, 1, 4, 5, 29, 0 ], [ 0, 0, 53, 1, 1, 5, 2, 1, 1, 1 ], [ 4, 0, 9, 29, 5, 2, 0, 0, 1, 2 ], [ 0, 1, 4, 3, 84, 0, 0, 0, 1, 0 ], [ 2, 2, 12, 3, 1, 45, 0, 3, 3, 1 ], [ 0, 1, 2, 1, 1, 0, 52, 0, 2, 0 ], [ 1, 2, 5, 1, 0, 1, 0, 73, 0, 0 ], [ 4, 29, 2, 0, 0, 0, 7, 3, 135, 0 ], [ 1, 0, 11, 19, 1, 5, 0, 1, 0, 115 ] ], "eval_loss": 0.8554251790046692, "eval_runtime": 15.3855, "eval_samples_per_second": 68.246, "eval_steps_per_second": 4.29, "step": 600 }, { "epoch": 1.94, "grad_norm": 4.359609127044678, "learning_rate": 0.00017409766454352444, "loss": 0.3581, "step": 610 }, { "epoch": 1.97, "grad_norm": 3.1502652168273926, "learning_rate": 0.00017367303609341827, "loss": 0.375, "step": 620 }, { "epoch": 2.01, "grad_norm": 2.531296968460083, "learning_rate": 0.00017324840764331212, "loss": 0.3344, "step": 630 }, { "epoch": 2.04, "grad_norm": 4.272879600524902, "learning_rate": 0.00017282377919320595, "loss": 0.2658, "step": 640 }, { "epoch": 2.07, "grad_norm": 6.005029678344727, "learning_rate": 0.0001723991507430998, "loss": 0.2963, "step": 650 }, { "epoch": 2.1, "grad_norm": 2.308213710784912, "learning_rate": 0.00017197452229299363, "loss": 0.3024, "step": 660 }, { "epoch": 2.13, "grad_norm": 2.6260054111480713, "learning_rate": 0.0001715498938428875, "loss": 0.3372, "step": 670 }, { "epoch": 2.17, "grad_norm": 5.7114057540893555, "learning_rate": 0.00017112526539278132, "loss": 0.3561, "step": 680 }, { "epoch": 2.2, "grad_norm": 2.8753015995025635, "learning_rate": 0.00017070063694267517, "loss": 0.3529, "step": 690 }, { "epoch": 2.23, "grad_norm": 1.4016531705856323, "learning_rate": 0.00017027600849256903, "loss": 0.342, "step": 700 }, { "epoch": 2.23, "eval_accuracy": 0.7047619047619048, "eval_confusion_matrix": [ [ 58, 5, 4, 4, 1, 8, 1, 9, 7, 3 ], [ 36, 111, 0, 2, 1, 4, 1, 4, 34, 0 ], [ 3, 2, 45, 5, 1, 6, 1, 1, 0, 1 ], [ 6, 0, 5, 35, 2, 0, 0, 0, 1, 3 ], [ 1, 1, 2, 6, 77, 3, 1, 0, 2, 0 ], [ 4, 0, 10, 8, 1, 39, 0, 7, 2, 1 ], [ 1, 2, 1, 0, 2, 0, 50, 0, 3, 0 ], [ 1, 0, 4, 1, 0, 0, 0, 77, 0, 0 ], [ 4, 29, 0, 0, 0, 0, 5, 2, 140, 0 ], [ 5, 0, 5, 27, 0, 0, 1, 7, 0, 108 ] ], "eval_loss": 1.0290604829788208, "eval_runtime": 15.7598, "eval_samples_per_second": 66.625, "eval_steps_per_second": 4.188, "step": 700 }, { "epoch": 2.26, "grad_norm": 3.78086256980896, "learning_rate": 0.00016985138004246286, "loss": 0.2987, "step": 710 }, { "epoch": 2.29, "grad_norm": 1.8382972478866577, "learning_rate": 0.0001694267515923567, "loss": 0.4537, "step": 720 }, { "epoch": 2.32, "grad_norm": 4.91944694519043, "learning_rate": 0.00016900212314225054, "loss": 0.264, "step": 730 }, { "epoch": 2.36, "grad_norm": 3.87353515625, "learning_rate": 0.0001685774946921444, "loss": 0.3189, "step": 740 }, { "epoch": 2.39, "grad_norm": 2.6051061153411865, "learning_rate": 0.00016815286624203822, "loss": 0.2776, "step": 750 }, { "epoch": 2.42, "grad_norm": 3.5838241577148438, "learning_rate": 0.00016772823779193208, "loss": 0.286, "step": 760 }, { "epoch": 2.45, "grad_norm": 3.6773152351379395, "learning_rate": 0.0001673036093418259, "loss": 0.2957, "step": 770 }, { "epoch": 2.48, "grad_norm": 1.5790090560913086, "learning_rate": 0.00016687898089171976, "loss": 0.3021, "step": 780 }, { "epoch": 2.52, "grad_norm": 1.9358294010162354, "learning_rate": 0.00016645435244161362, "loss": 0.2431, "step": 790 }, { "epoch": 2.55, "grad_norm": 3.2236168384552, "learning_rate": 0.00016602972399150744, "loss": 0.2984, "step": 800 }, { "epoch": 2.55, "eval_accuracy": 0.6961904761904761, "eval_confusion_matrix": [ [ 55, 3, 11, 2, 0, 1, 2, 11, 10, 5 ], [ 44, 71, 1, 0, 1, 0, 4, 5, 66, 1 ], [ 0, 0, 49, 3, 2, 3, 3, 2, 1, 2 ], [ 4, 0, 5, 26, 7, 0, 2, 0, 1, 7 ], [ 0, 1, 0, 0, 86, 0, 3, 0, 3, 0 ], [ 5, 2, 12, 4, 2, 39, 1, 3, 1, 3 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 0, 0, 5, 0, 0, 0, 0, 78, 0, 0 ], [ 5, 15, 3, 0, 1, 0, 9, 4, 143, 0 ], [ 0, 0, 1, 17, 1, 0, 3, 3, 1, 127 ] ], "eval_loss": 1.2206960916519165, "eval_runtime": 15.2799, "eval_samples_per_second": 68.718, "eval_steps_per_second": 4.319, "step": 800 }, { "epoch": 2.58, "grad_norm": 3.2855160236358643, "learning_rate": 0.0001656050955414013, "loss": 0.3444, "step": 810 }, { "epoch": 2.61, "grad_norm": 3.5719540119171143, "learning_rate": 0.00016518046709129513, "loss": 0.2846, "step": 820 }, { "epoch": 2.64, "grad_norm": 4.042548179626465, "learning_rate": 0.00016475583864118898, "loss": 0.3975, "step": 830 }, { "epoch": 2.68, "grad_norm": 2.08795166015625, "learning_rate": 0.0001643312101910828, "loss": 0.2734, "step": 840 }, { "epoch": 2.71, "grad_norm": 2.969775676727295, "learning_rate": 0.00016390658174097667, "loss": 0.2576, "step": 850 }, { "epoch": 2.74, "grad_norm": 2.800004720687866, "learning_rate": 0.0001634819532908705, "loss": 0.2583, "step": 860 }, { "epoch": 2.77, "grad_norm": 3.8801493644714355, "learning_rate": 0.00016305732484076435, "loss": 0.3354, "step": 870 }, { "epoch": 2.8, "grad_norm": 2.1636312007904053, "learning_rate": 0.0001626326963906582, "loss": 0.2068, "step": 880 }, { "epoch": 2.83, "grad_norm": 3.3073160648345947, "learning_rate": 0.00016220806794055203, "loss": 0.356, "step": 890 }, { "epoch": 2.87, "grad_norm": 3.645033836364746, "learning_rate": 0.0001617834394904459, "loss": 0.3542, "step": 900 }, { "epoch": 2.87, "eval_accuracy": 0.6657142857142857, "eval_confusion_matrix": [ [ 66, 2, 6, 8, 0, 4, 4, 4, 5, 1 ], [ 38, 78, 2, 0, 3, 1, 23, 4, 43, 1 ], [ 2, 0, 50, 7, 0, 5, 1, 0, 0, 0 ], [ 2, 0, 2, 45, 3, 0, 0, 0, 0, 0 ], [ 0, 1, 3, 6, 76, 3, 4, 0, 0, 0 ], [ 3, 1, 10, 8, 1, 47, 0, 0, 1, 1 ], [ 0, 0, 2, 0, 1, 0, 56, 0, 0, 0 ], [ 2, 0, 11, 5, 0, 2, 4, 59, 0, 0 ], [ 4, 24, 2, 1, 1, 1, 23, 0, 124, 0 ], [ 5, 0, 1, 42, 3, 0, 3, 1, 0, 98 ] ], "eval_loss": 1.18353271484375, "eval_runtime": 15.3461, "eval_samples_per_second": 68.421, "eval_steps_per_second": 4.301, "step": 900 }, { "epoch": 2.9, "grad_norm": 1.6855131387710571, "learning_rate": 0.00016135881104033971, "loss": 0.2494, "step": 910 }, { "epoch": 2.93, "grad_norm": 2.0318846702575684, "learning_rate": 0.00016093418259023357, "loss": 0.2848, "step": 920 }, { "epoch": 2.96, "grad_norm": 2.573373794555664, "learning_rate": 0.0001605095541401274, "loss": 0.2974, "step": 930 }, { "epoch": 2.99, "grad_norm": 1.9912055730819702, "learning_rate": 0.00016008492569002125, "loss": 0.1985, "step": 940 }, { "epoch": 3.03, "grad_norm": 3.447814702987671, "learning_rate": 0.00015966029723991508, "loss": 0.2648, "step": 950 }, { "epoch": 3.06, "grad_norm": 2.786409616470337, "learning_rate": 0.00015923566878980894, "loss": 0.2106, "step": 960 }, { "epoch": 3.09, "grad_norm": 7.731870174407959, "learning_rate": 0.00015881104033970276, "loss": 0.2545, "step": 970 }, { "epoch": 3.12, "grad_norm": 5.680171966552734, "learning_rate": 0.00015838641188959662, "loss": 0.3026, "step": 980 }, { "epoch": 3.15, "grad_norm": 1.9310322999954224, "learning_rate": 0.00015796178343949047, "loss": 0.2678, "step": 990 }, { "epoch": 3.18, "grad_norm": 4.319097995758057, "learning_rate": 0.0001575371549893843, "loss": 0.2749, "step": 1000 }, { "epoch": 3.18, "eval_accuracy": 0.7285714285714285, "eval_confusion_matrix": [ [ 54, 12, 5, 2, 3, 1, 7, 1, 12, 3 ], [ 13, 155, 0, 0, 3, 1, 2, 1, 18, 0 ], [ 2, 0, 53, 1, 4, 1, 3, 0, 0, 1 ], [ 5, 1, 7, 21, 8, 0, 0, 0, 1, 9 ], [ 0, 2, 0, 1, 89, 0, 0, 1, 0, 0 ], [ 2, 4, 16, 1, 6, 34, 3, 1, 4, 1 ], [ 0, 2, 1, 0, 2, 0, 54, 0, 0, 0 ], [ 1, 3, 6, 1, 0, 0, 0, 70, 2, 0 ], [ 4, 45, 0, 1, 2, 0, 13, 0, 115, 0 ], [ 2, 1, 6, 19, 4, 0, 0, 1, 0, 120 ] ], "eval_loss": 0.9242235422134399, "eval_runtime": 15.2447, "eval_samples_per_second": 68.876, "eval_steps_per_second": 4.329, "step": 1000 }, { "epoch": 3.22, "grad_norm": 1.9356917142868042, "learning_rate": 0.00015711252653927816, "loss": 0.3368, "step": 1010 }, { "epoch": 3.25, "grad_norm": 1.9739004373550415, "learning_rate": 0.00015668789808917199, "loss": 0.3223, "step": 1020 }, { "epoch": 3.28, "grad_norm": 2.2368195056915283, "learning_rate": 0.00015626326963906584, "loss": 0.2729, "step": 1030 }, { "epoch": 3.31, "grad_norm": 2.3171839714050293, "learning_rate": 0.00015583864118895967, "loss": 0.2081, "step": 1040 }, { "epoch": 3.34, "grad_norm": 4.041688442230225, "learning_rate": 0.00015541401273885352, "loss": 0.3985, "step": 1050 }, { "epoch": 3.38, "grad_norm": 2.9750876426696777, "learning_rate": 0.00015498938428874735, "loss": 0.3221, "step": 1060 }, { "epoch": 3.41, "grad_norm": 2.438103675842285, "learning_rate": 0.0001545647558386412, "loss": 0.2598, "step": 1070 }, { "epoch": 3.44, "grad_norm": 3.9497318267822266, "learning_rate": 0.00015414012738853506, "loss": 0.2488, "step": 1080 }, { "epoch": 3.47, "grad_norm": 4.278964996337891, "learning_rate": 0.0001537154989384289, "loss": 0.2826, "step": 1090 }, { "epoch": 3.5, "grad_norm": 2.7707722187042236, "learning_rate": 0.00015329087048832275, "loss": 0.2695, "step": 1100 }, { "epoch": 3.5, "eval_accuracy": 0.7314285714285714, "eval_confusion_matrix": [ [ 58, 8, 9, 3, 0, 3, 2, 5, 10, 2 ], [ 29, 130, 2, 0, 0, 3, 1, 4, 24, 0 ], [ 1, 0, 49, 3, 1, 6, 2, 0, 0, 3 ], [ 6, 1, 5, 26, 6, 1, 0, 1, 1, 5 ], [ 0, 1, 2, 4, 79, 1, 1, 1, 4, 0 ], [ 2, 2, 12, 4, 1, 48, 1, 0, 1, 1 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 2, 2, 4, 1, 0, 2, 2, 67, 3, 0 ], [ 1, 32, 0, 1, 0, 4, 12, 2, 125, 3 ], [ 3, 1, 2, 10, 1, 5, 2, 0, 0, 129 ] ], "eval_loss": 0.9827544689178467, "eval_runtime": 15.624, "eval_samples_per_second": 67.204, "eval_steps_per_second": 4.224, "step": 1100 }, { "epoch": 3.54, "grad_norm": 1.2058473825454712, "learning_rate": 0.00015286624203821657, "loss": 0.2301, "step": 1110 }, { "epoch": 3.57, "grad_norm": 4.785125732421875, "learning_rate": 0.00015244161358811043, "loss": 0.1879, "step": 1120 }, { "epoch": 3.6, "grad_norm": 2.2282400131225586, "learning_rate": 0.00015201698513800426, "loss": 0.2526, "step": 1130 }, { "epoch": 3.63, "grad_norm": 4.476231098175049, "learning_rate": 0.0001515923566878981, "loss": 0.2623, "step": 1140 }, { "epoch": 3.66, "grad_norm": 1.7477174997329712, "learning_rate": 0.00015116772823779194, "loss": 0.2361, "step": 1150 }, { "epoch": 3.69, "grad_norm": 1.9111158847808838, "learning_rate": 0.0001507430997876858, "loss": 0.2147, "step": 1160 }, { "epoch": 3.73, "grad_norm": 2.058471918106079, "learning_rate": 0.00015031847133757962, "loss": 0.2567, "step": 1170 }, { "epoch": 3.76, "grad_norm": 3.280287265777588, "learning_rate": 0.00014989384288747345, "loss": 0.3297, "step": 1180 }, { "epoch": 3.79, "grad_norm": 4.744434356689453, "learning_rate": 0.0001494692144373673, "loss": 0.2678, "step": 1190 }, { "epoch": 3.82, "grad_norm": 1.6539621353149414, "learning_rate": 0.00014904458598726113, "loss": 0.2343, "step": 1200 }, { "epoch": 3.82, "eval_accuracy": 0.7295238095238096, "eval_confusion_matrix": [ [ 58, 2, 10, 5, 1, 1, 7, 4, 10, 2 ], [ 21, 115, 0, 0, 4, 0, 12, 3, 38, 0 ], [ 1, 0, 53, 2, 2, 3, 0, 1, 1, 2 ], [ 2, 2, 9, 22, 9, 0, 1, 0, 1, 6 ], [ 0, 2, 1, 1, 88, 0, 0, 0, 1, 0 ], [ 2, 1, 10, 4, 2, 48, 1, 2, 2, 0 ], [ 0, 0, 1, 0, 2, 0, 56, 0, 0, 0 ], [ 2, 1, 7, 0, 0, 0, 0, 72, 1, 0 ], [ 4, 22, 0, 1, 0, 0, 14, 0, 139, 0 ], [ 7, 0, 4, 20, 1, 3, 1, 2, 0, 115 ] ], "eval_loss": 1.0871163606643677, "eval_runtime": 15.2438, "eval_samples_per_second": 68.881, "eval_steps_per_second": 4.33, "step": 1200 }, { "epoch": 3.85, "grad_norm": 2.8714191913604736, "learning_rate": 0.000148619957537155, "loss": 0.2571, "step": 1210 }, { "epoch": 3.89, "grad_norm": 3.6686244010925293, "learning_rate": 0.00014819532908704882, "loss": 0.2531, "step": 1220 }, { "epoch": 3.92, "grad_norm": 1.589486837387085, "learning_rate": 0.00014777070063694267, "loss": 0.207, "step": 1230 }, { "epoch": 3.95, "grad_norm": 2.834082841873169, "learning_rate": 0.00014734607218683653, "loss": 0.2296, "step": 1240 }, { "epoch": 3.98, "grad_norm": 4.031200885772705, "learning_rate": 0.00014692144373673036, "loss": 0.2018, "step": 1250 }, { "epoch": 4.01, "grad_norm": 2.4544031620025635, "learning_rate": 0.0001464968152866242, "loss": 0.2817, "step": 1260 }, { "epoch": 4.04, "grad_norm": 1.3553822040557861, "learning_rate": 0.00014607218683651804, "loss": 0.2868, "step": 1270 }, { "epoch": 4.08, "grad_norm": 1.9867699146270752, "learning_rate": 0.0001456475583864119, "loss": 0.2127, "step": 1280 }, { "epoch": 4.11, "grad_norm": 1.536102533340454, "learning_rate": 0.00014522292993630572, "loss": 0.2743, "step": 1290 }, { "epoch": 4.14, "grad_norm": 2.0758562088012695, "learning_rate": 0.00014479830148619958, "loss": 0.2714, "step": 1300 }, { "epoch": 4.14, "eval_accuracy": 0.7314285714285714, "eval_confusion_matrix": [ [ 59, 6, 8, 8, 1, 1, 3, 4, 7, 3 ], [ 23, 114, 2, 1, 1, 0, 5, 3, 42, 2 ], [ 1, 1, 54, 2, 1, 2, 0, 1, 0, 3 ], [ 3, 1, 3, 32, 4, 0, 0, 0, 1, 8 ], [ 0, 1, 3, 5, 80, 1, 1, 0, 0, 2 ], [ 3, 1, 11, 7, 2, 43, 1, 2, 1, 1 ], [ 0, 0, 1, 1, 0, 0, 56, 0, 0, 1 ], [ 1, 0, 4, 0, 0, 0, 0, 77, 1, 0 ], [ 6, 31, 2, 1, 0, 0, 10, 0, 130, 0 ], [ 5, 0, 1, 22, 0, 1, 0, 1, 0, 123 ] ], "eval_loss": 1.0719889402389526, "eval_runtime": 15.7109, "eval_samples_per_second": 66.833, "eval_steps_per_second": 4.201, "step": 1300 }, { "epoch": 4.17, "grad_norm": 2.6378695964813232, "learning_rate": 0.0001443736730360934, "loss": 0.1884, "step": 1310 }, { "epoch": 4.2, "grad_norm": 2.4962825775146484, "learning_rate": 0.00014394904458598726, "loss": 0.2421, "step": 1320 }, { "epoch": 4.24, "grad_norm": 5.444900035858154, "learning_rate": 0.0001435244161358811, "loss": 0.1745, "step": 1330 }, { "epoch": 4.27, "grad_norm": 3.8945775032043457, "learning_rate": 0.00014309978768577494, "loss": 0.3019, "step": 1340 }, { "epoch": 4.3, "grad_norm": 4.094300270080566, "learning_rate": 0.0001426751592356688, "loss": 0.2902, "step": 1350 }, { "epoch": 4.33, "grad_norm": 2.9124348163604736, "learning_rate": 0.00014225053078556263, "loss": 0.2889, "step": 1360 }, { "epoch": 4.36, "grad_norm": 1.5475099086761475, "learning_rate": 0.00014182590233545648, "loss": 0.1914, "step": 1370 }, { "epoch": 4.39, "grad_norm": 3.8749759197235107, "learning_rate": 0.0001414012738853503, "loss": 0.2835, "step": 1380 }, { "epoch": 4.43, "grad_norm": 3.574009656906128, "learning_rate": 0.00014097664543524416, "loss": 0.2556, "step": 1390 }, { "epoch": 4.46, "grad_norm": 1.3013603687286377, "learning_rate": 0.000140552016985138, "loss": 0.2287, "step": 1400 }, { "epoch": 4.46, "eval_accuracy": 0.7057142857142857, "eval_confusion_matrix": [ [ 52, 5, 15, 8, 1, 8, 0, 3, 6, 2 ], [ 27, 109, 1, 0, 1, 6, 2, 3, 43, 1 ], [ 1, 0, 55, 3, 0, 3, 1, 0, 0, 2 ], [ 2, 1, 4, 34, 4, 2, 0, 0, 0, 5 ], [ 0, 1, 2, 4, 81, 2, 1, 0, 2, 0 ], [ 2, 2, 7, 3, 1, 54, 0, 0, 3, 0 ], [ 0, 0, 1, 0, 1, 0, 56, 0, 1, 0 ], [ 1, 1, 12, 1, 0, 3, 2, 62, 1, 0 ], [ 5, 30, 1, 0, 0, 3, 9, 0, 131, 1 ], [ 4, 6, 4, 28, 0, 4, 0, 0, 0, 107 ] ], "eval_loss": 1.112500786781311, "eval_runtime": 15.3686, "eval_samples_per_second": 68.321, "eval_steps_per_second": 4.294, "step": 1400 }, { "epoch": 4.49, "grad_norm": 2.4055957794189453, "learning_rate": 0.00014012738853503185, "loss": 0.1898, "step": 1410 }, { "epoch": 4.52, "grad_norm": 1.5158133506774902, "learning_rate": 0.00013970276008492568, "loss": 0.3715, "step": 1420 }, { "epoch": 4.55, "grad_norm": 2.5956978797912598, "learning_rate": 0.00013927813163481953, "loss": 0.1763, "step": 1430 }, { "epoch": 4.59, "grad_norm": 3.058171272277832, "learning_rate": 0.00013885350318471339, "loss": 0.2033, "step": 1440 }, { "epoch": 4.62, "grad_norm": 4.358069896697998, "learning_rate": 0.00013842887473460721, "loss": 0.1918, "step": 1450 }, { "epoch": 4.65, "grad_norm": 3.4236209392547607, "learning_rate": 0.00013800424628450107, "loss": 0.2298, "step": 1460 }, { "epoch": 4.68, "grad_norm": 2.0080718994140625, "learning_rate": 0.0001375796178343949, "loss": 0.2217, "step": 1470 }, { "epoch": 4.71, "grad_norm": 1.7190344333648682, "learning_rate": 0.00013715498938428875, "loss": 0.1858, "step": 1480 }, { "epoch": 4.75, "grad_norm": 1.8413598537445068, "learning_rate": 0.00013673036093418258, "loss": 0.2372, "step": 1490 }, { "epoch": 4.78, "grad_norm": 6.0616865158081055, "learning_rate": 0.00013630573248407644, "loss": 0.2814, "step": 1500 }, { "epoch": 4.78, "eval_accuracy": 0.72, "eval_confusion_matrix": [ [ 71, 3, 7, 5, 2, 1, 1, 6, 3, 1 ], [ 53, 111, 1, 0, 1, 0, 5, 5, 17, 0 ], [ 2, 0, 48, 4, 1, 4, 0, 4, 0, 2 ], [ 6, 0, 4, 31, 6, 0, 0, 0, 0, 5 ], [ 0, 3, 1, 4, 82, 0, 1, 1, 1, 0 ], [ 8, 0, 4, 4, 1, 49, 1, 4, 1, 0 ], [ 2, 0, 1, 1, 1, 0, 52, 2, 0, 0 ], [ 2, 0, 1, 0, 0, 0, 0, 80, 0, 0 ], [ 11, 35, 2, 0, 0, 1, 9, 5, 117, 0 ], [ 10, 1, 1, 21, 1, 0, 2, 2, 0, 115 ] ], "eval_loss": 1.1163132190704346, "eval_runtime": 15.5932, "eval_samples_per_second": 67.337, "eval_steps_per_second": 4.233, "step": 1500 }, { "epoch": 4.81, "grad_norm": 3.689554214477539, "learning_rate": 0.00013588110403397026, "loss": 0.179, "step": 1510 }, { "epoch": 4.84, "grad_norm": 2.459721803665161, "learning_rate": 0.00013545647558386412, "loss": 0.1896, "step": 1520 }, { "epoch": 4.87, "grad_norm": 2.693918228149414, "learning_rate": 0.00013503184713375797, "loss": 0.1982, "step": 1530 }, { "epoch": 4.9, "grad_norm": 2.6597607135772705, "learning_rate": 0.0001346072186836518, "loss": 0.2241, "step": 1540 }, { "epoch": 4.94, "grad_norm": 4.53094482421875, "learning_rate": 0.00013418259023354566, "loss": 0.2084, "step": 1550 }, { "epoch": 4.97, "grad_norm": 0.6765243411064148, "learning_rate": 0.00013375796178343948, "loss": 0.1917, "step": 1560 }, { "epoch": 5.0, "grad_norm": 2.6149380207061768, "learning_rate": 0.00013333333333333334, "loss": 0.2102, "step": 1570 }, { "epoch": 5.03, "grad_norm": 2.5928609371185303, "learning_rate": 0.00013290870488322717, "loss": 0.239, "step": 1580 }, { "epoch": 5.06, "grad_norm": 4.47957181930542, "learning_rate": 0.00013248407643312102, "loss": 0.2067, "step": 1590 }, { "epoch": 5.1, "grad_norm": 3.5347230434417725, "learning_rate": 0.00013205944798301485, "loss": 0.2648, "step": 1600 }, { "epoch": 5.1, "eval_accuracy": 0.7057142857142857, "eval_confusion_matrix": [ [ 61, 6, 3, 3, 0, 3, 2, 12, 8, 2 ], [ 27, 131, 0, 0, 4, 0, 1, 9, 21, 0 ], [ 2, 2, 51, 2, 2, 4, 0, 1, 0, 1 ], [ 3, 1, 4, 28, 6, 3, 0, 3, 1, 3 ], [ 1, 3, 0, 4, 82, 1, 0, 1, 1, 0 ], [ 1, 0, 8, 4, 3, 51, 0, 3, 1, 1 ], [ 3, 1, 1, 1, 1, 0, 51, 1, 0, 0 ], [ 1, 0, 2, 1, 0, 0, 0, 79, 0, 0 ], [ 9, 31, 1, 0, 0, 1, 11, 10, 117, 0 ], [ 17, 5, 4, 28, 2, 2, 1, 4, 0, 90 ] ], "eval_loss": 1.1720563173294067, "eval_runtime": 15.166, "eval_samples_per_second": 69.234, "eval_steps_per_second": 4.352, "step": 1600 }, { "epoch": 5.13, "grad_norm": 2.3316214084625244, "learning_rate": 0.0001316348195329087, "loss": 0.1836, "step": 1610 }, { "epoch": 5.16, "grad_norm": 1.4129242897033691, "learning_rate": 0.00013121019108280253, "loss": 0.2966, "step": 1620 }, { "epoch": 5.19, "grad_norm": 3.569037437438965, "learning_rate": 0.0001307855626326964, "loss": 0.2079, "step": 1630 }, { "epoch": 5.22, "grad_norm": 3.183149576187134, "learning_rate": 0.00013036093418259024, "loss": 0.2142, "step": 1640 }, { "epoch": 5.25, "grad_norm": 1.4530551433563232, "learning_rate": 0.00012993630573248407, "loss": 0.1636, "step": 1650 }, { "epoch": 5.29, "grad_norm": 1.5123274326324463, "learning_rate": 0.00012951167728237793, "loss": 0.1772, "step": 1660 }, { "epoch": 5.32, "grad_norm": 3.7511801719665527, "learning_rate": 0.00012908704883227176, "loss": 0.2243, "step": 1670 }, { "epoch": 5.35, "grad_norm": 2.2168476581573486, "learning_rate": 0.0001286624203821656, "loss": 0.2089, "step": 1680 }, { "epoch": 5.38, "grad_norm": 0.5811095237731934, "learning_rate": 0.00012823779193205944, "loss": 0.1868, "step": 1690 }, { "epoch": 5.41, "grad_norm": 2.5435843467712402, "learning_rate": 0.0001278131634819533, "loss": 0.1857, "step": 1700 }, { "epoch": 5.41, "eval_accuracy": 0.7514285714285714, "eval_confusion_matrix": [ [ 57, 9, 5, 2, 1, 0, 4, 7, 11, 4 ], [ 22, 131, 0, 0, 0, 0, 5, 4, 30, 1 ], [ 1, 0, 56, 1, 1, 2, 1, 0, 0, 3 ], [ 3, 1, 2, 28, 8, 1, 1, 1, 1, 6 ], [ 1, 1, 0, 3, 85, 0, 0, 0, 3, 0 ], [ 6, 2, 11, 4, 3, 36, 2, 5, 1, 2 ], [ 0, 0, 1, 0, 0, 0, 58, 0, 0, 0 ], [ 1, 0, 2, 0, 0, 0, 0, 80, 0, 0 ], [ 7, 32, 1, 0, 0, 0, 19, 3, 117, 1 ], [ 6, 0, 1, 3, 0, 0, 1, 1, 0, 141 ] ], "eval_loss": 1.0403919219970703, "eval_runtime": 15.5401, "eval_samples_per_second": 67.567, "eval_steps_per_second": 4.247, "step": 1700 }, { "epoch": 5.45, "grad_norm": 2.8231258392333984, "learning_rate": 0.00012738853503184712, "loss": 0.1562, "step": 1710 }, { "epoch": 5.48, "grad_norm": 3.1249213218688965, "learning_rate": 0.00012696390658174098, "loss": 0.1543, "step": 1720 }, { "epoch": 5.51, "grad_norm": 0.47615599632263184, "learning_rate": 0.00012653927813163483, "loss": 0.1578, "step": 1730 }, { "epoch": 5.54, "grad_norm": 0.8500877618789673, "learning_rate": 0.00012611464968152866, "loss": 0.1791, "step": 1740 }, { "epoch": 5.57, "grad_norm": 3.530510902404785, "learning_rate": 0.00012569002123142252, "loss": 0.1701, "step": 1750 }, { "epoch": 5.61, "grad_norm": 3.1433258056640625, "learning_rate": 0.00012526539278131634, "loss": 0.0973, "step": 1760 }, { "epoch": 5.64, "grad_norm": 2.9921345710754395, "learning_rate": 0.0001248407643312102, "loss": 0.2193, "step": 1770 }, { "epoch": 5.67, "grad_norm": 3.721479892730713, "learning_rate": 0.00012441613588110403, "loss": 0.265, "step": 1780 }, { "epoch": 5.7, "grad_norm": 0.5069979429244995, "learning_rate": 0.00012399150743099788, "loss": 0.2341, "step": 1790 }, { "epoch": 5.73, "grad_norm": 0.4565420150756836, "learning_rate": 0.0001235668789808917, "loss": 0.1958, "step": 1800 }, { "epoch": 5.73, "eval_accuracy": 0.7238095238095238, "eval_confusion_matrix": [ [ 53, 7, 4, 3, 2, 1, 6, 9, 13, 2 ], [ 16, 134, 0, 0, 0, 1, 10, 7, 25, 0 ], [ 2, 1, 54, 2, 1, 1, 1, 0, 0, 3 ], [ 6, 0, 3, 29, 8, 0, 1, 1, 1, 3 ], [ 0, 2, 0, 2, 85, 0, 2, 0, 2, 0 ], [ 7, 1, 9, 2, 4, 43, 2, 2, 1, 1 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 0, 1, 4, 0, 0, 0, 1, 77, 0, 0 ], [ 4, 28, 2, 0, 0, 0, 19, 4, 123, 0 ], [ 7, 0, 2, 25, 1, 0, 11, 2, 0, 105 ] ], "eval_loss": 1.1391521692276, "eval_runtime": 15.287, "eval_samples_per_second": 68.686, "eval_steps_per_second": 4.317, "step": 1800 }, { "epoch": 5.76, "grad_norm": 1.6156843900680542, "learning_rate": 0.00012314225053078556, "loss": 0.1635, "step": 1810 }, { "epoch": 5.8, "grad_norm": 2.8691422939300537, "learning_rate": 0.00012271762208067942, "loss": 0.2309, "step": 1820 }, { "epoch": 5.83, "grad_norm": 3.7324392795562744, "learning_rate": 0.00012229299363057325, "loss": 0.1626, "step": 1830 }, { "epoch": 5.86, "grad_norm": 3.8623502254486084, "learning_rate": 0.00012186836518046709, "loss": 0.1487, "step": 1840 }, { "epoch": 5.89, "grad_norm": 4.658466815948486, "learning_rate": 0.00012144373673036093, "loss": 0.3255, "step": 1850 }, { "epoch": 5.92, "grad_norm": 2.3121321201324463, "learning_rate": 0.00012101910828025477, "loss": 0.2092, "step": 1860 }, { "epoch": 5.96, "grad_norm": 1.5467556715011597, "learning_rate": 0.00012059447983014863, "loss": 0.175, "step": 1870 }, { "epoch": 5.99, "grad_norm": 3.587686777114868, "learning_rate": 0.00012016985138004247, "loss": 0.1644, "step": 1880 }, { "epoch": 6.02, "grad_norm": 3.9866294860839844, "learning_rate": 0.00011974522292993631, "loss": 0.1916, "step": 1890 }, { "epoch": 6.05, "grad_norm": 0.14543366432189941, "learning_rate": 0.00011932059447983015, "loss": 0.1475, "step": 1900 }, { "epoch": 6.05, "eval_accuracy": 0.7238095238095238, "eval_confusion_matrix": [ [ 72, 6, 4, 4, 0, 1, 2, 0, 8, 3 ], [ 52, 97, 0, 0, 1, 0, 1, 0, 41, 1 ], [ 3, 1, 52, 3, 1, 1, 1, 0, 0, 3 ], [ 6, 1, 3, 32, 2, 1, 0, 1, 1, 5 ], [ 0, 4, 1, 3, 79, 1, 0, 0, 3, 2 ], [ 3, 2, 12, 6, 0, 43, 0, 1, 2, 3 ], [ 3, 0, 1, 0, 1, 0, 52, 0, 1, 1 ], [ 8, 0, 7, 2, 0, 0, 0, 66, 0, 0 ], [ 13, 26, 1, 1, 0, 1, 8, 1, 129, 0 ], [ 6, 0, 0, 7, 0, 0, 0, 1, 1, 138 ] ], "eval_loss": 1.1925528049468994, "eval_runtime": 15.2575, "eval_samples_per_second": 68.819, "eval_steps_per_second": 4.326, "step": 1900 }, { "epoch": 6.08, "grad_norm": 3.591832160949707, "learning_rate": 0.000118895966029724, "loss": 0.1943, "step": 1910 }, { "epoch": 6.11, "grad_norm": 1.7828431129455566, "learning_rate": 0.00011847133757961784, "loss": 0.1596, "step": 1920 }, { "epoch": 6.15, "grad_norm": 3.0881214141845703, "learning_rate": 0.00011804670912951168, "loss": 0.2402, "step": 1930 }, { "epoch": 6.18, "grad_norm": 1.4464250802993774, "learning_rate": 0.00011762208067940552, "loss": 0.1438, "step": 1940 }, { "epoch": 6.21, "grad_norm": 2.3067240715026855, "learning_rate": 0.00011719745222929936, "loss": 0.194, "step": 1950 }, { "epoch": 6.24, "grad_norm": 1.2956265211105347, "learning_rate": 0.0001167728237791932, "loss": 0.2229, "step": 1960 }, { "epoch": 6.27, "grad_norm": 2.0302717685699463, "learning_rate": 0.00011634819532908706, "loss": 0.1599, "step": 1970 }, { "epoch": 6.31, "grad_norm": 3.4628517627716064, "learning_rate": 0.0001159235668789809, "loss": 0.163, "step": 1980 }, { "epoch": 6.34, "grad_norm": 4.217594146728516, "learning_rate": 0.00011549893842887474, "loss": 0.1439, "step": 1990 }, { "epoch": 6.37, "grad_norm": 2.3878486156463623, "learning_rate": 0.00011507430997876858, "loss": 0.1443, "step": 2000 }, { "epoch": 6.37, "eval_accuracy": 0.7152380952380952, "eval_confusion_matrix": [ [ 64, 3, 18, 4, 1, 3, 1, 3, 2, 1 ], [ 26, 112, 1, 0, 2, 0, 5, 6, 41, 0 ], [ 4, 0, 54, 2, 1, 1, 0, 0, 0, 3 ], [ 7, 1, 3, 34, 3, 1, 0, 1, 1, 1 ], [ 0, 3, 0, 3, 82, 0, 2, 0, 3, 0 ], [ 5, 2, 11, 5, 1, 44, 1, 1, 1, 1 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 1, 0, 7, 0, 0, 4, 0, 71, 0, 0 ], [ 5, 23, 5, 2, 0, 0, 12, 5, 128, 0 ], [ 6, 3, 1, 36, 0, 0, 0, 2, 0, 105 ] ], "eval_loss": 1.2271040678024292, "eval_runtime": 15.4096, "eval_samples_per_second": 68.139, "eval_steps_per_second": 4.283, "step": 2000 }, { "epoch": 6.4, "grad_norm": 2.9746904373168945, "learning_rate": 0.00011464968152866242, "loss": 0.1776, "step": 2010 }, { "epoch": 6.43, "grad_norm": 4.259703159332275, "learning_rate": 0.00011422505307855626, "loss": 0.1744, "step": 2020 }, { "epoch": 6.46, "grad_norm": 2.885249137878418, "learning_rate": 0.0001138004246284501, "loss": 0.1597, "step": 2030 }, { "epoch": 6.5, "grad_norm": 1.6212122440338135, "learning_rate": 0.00011337579617834395, "loss": 0.2183, "step": 2040 }, { "epoch": 6.53, "grad_norm": 2.243490695953369, "learning_rate": 0.00011295116772823779, "loss": 0.205, "step": 2050 }, { "epoch": 6.56, "grad_norm": 2.2670421600341797, "learning_rate": 0.00011252653927813163, "loss": 0.1432, "step": 2060 }, { "epoch": 6.59, "grad_norm": 2.7547404766082764, "learning_rate": 0.00011210191082802549, "loss": 0.1276, "step": 2070 }, { "epoch": 6.62, "grad_norm": 2.6618921756744385, "learning_rate": 0.00011167728237791933, "loss": 0.1829, "step": 2080 }, { "epoch": 6.66, "grad_norm": 4.215251922607422, "learning_rate": 0.00011125265392781317, "loss": 0.1323, "step": 2090 }, { "epoch": 6.69, "grad_norm": 3.4978456497192383, "learning_rate": 0.00011082802547770701, "loss": 0.1453, "step": 2100 }, { "epoch": 6.69, "eval_accuracy": 0.7390476190476191, "eval_confusion_matrix": [ [ 71, 4, 11, 3, 0, 4, 1, 3, 2, 1 ], [ 26, 127, 3, 0, 0, 2, 4, 4, 27, 0 ], [ 1, 0, 53, 2, 2, 4, 1, 0, 0, 2 ], [ 5, 2, 5, 27, 6, 2, 0, 1, 1, 3 ], [ 1, 1, 0, 1, 87, 1, 1, 0, 1, 0 ], [ 2, 1, 6, 1, 2, 58, 0, 1, 1, 0 ], [ 2, 3, 1, 0, 2, 0, 50, 0, 0, 1 ], [ 4, 0, 7, 0, 0, 4, 0, 68, 0, 0 ], [ 4, 34, 4, 0, 1, 3, 14, 1, 119, 0 ], [ 9, 1, 2, 18, 2, 1, 0, 3, 1, 116 ] ], "eval_loss": 1.0546270608901978, "eval_runtime": 15.5179, "eval_samples_per_second": 67.664, "eval_steps_per_second": 4.253, "step": 2100 }, { "epoch": 6.72, "grad_norm": 1.68947172164917, "learning_rate": 0.00011040339702760085, "loss": 0.1613, "step": 2110 }, { "epoch": 6.75, "grad_norm": 3.1171562671661377, "learning_rate": 0.0001099787685774947, "loss": 0.176, "step": 2120 }, { "epoch": 6.78, "grad_norm": 2.0694828033447266, "learning_rate": 0.00010955414012738854, "loss": 0.1529, "step": 2130 }, { "epoch": 6.82, "grad_norm": 1.485595703125, "learning_rate": 0.00010912951167728238, "loss": 0.1829, "step": 2140 }, { "epoch": 6.85, "grad_norm": 2.217650890350342, "learning_rate": 0.00010870488322717622, "loss": 0.2196, "step": 2150 }, { "epoch": 6.88, "grad_norm": 1.3161414861679077, "learning_rate": 0.00010828025477707007, "loss": 0.1002, "step": 2160 }, { "epoch": 6.91, "grad_norm": 3.4168200492858887, "learning_rate": 0.00010785562632696392, "loss": 0.1856, "step": 2170 }, { "epoch": 6.94, "grad_norm": 2.1230216026306152, "learning_rate": 0.00010743099787685776, "loss": 0.1529, "step": 2180 }, { "epoch": 6.97, "grad_norm": 2.512233018875122, "learning_rate": 0.0001070063694267516, "loss": 0.2026, "step": 2190 }, { "epoch": 7.01, "grad_norm": 2.9873499870300293, "learning_rate": 0.00010658174097664544, "loss": 0.2319, "step": 2200 }, { "epoch": 7.01, "eval_accuracy": 0.7371428571428571, "eval_confusion_matrix": [ [ 60, 4, 9, 7, 1, 4, 2, 2, 10, 1 ], [ 18, 127, 1, 0, 2, 0, 9, 2, 34, 0 ], [ 3, 0, 53, 3, 1, 2, 0, 1, 0, 2 ], [ 4, 2, 2, 36, 6, 0, 0, 0, 1, 1 ], [ 0, 4, 0, 3, 83, 0, 1, 1, 1, 0 ], [ 2, 2, 9, 6, 1, 49, 1, 0, 2, 0 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 1, 0, 10, 1, 0, 0, 0, 71, 0, 0 ], [ 5, 24, 4, 0, 0, 1, 15, 1, 130, 0 ], [ 4, 4, 2, 28, 0, 0, 2, 5, 0, 108 ] ], "eval_loss": 1.0889815092086792, "eval_runtime": 15.3147, "eval_samples_per_second": 68.562, "eval_steps_per_second": 4.31, "step": 2200 }, { "epoch": 7.04, "grad_norm": 2.2253472805023193, "learning_rate": 0.00010615711252653928, "loss": 0.162, "step": 2210 }, { "epoch": 7.07, "grad_norm": 2.6832664012908936, "learning_rate": 0.00010573248407643312, "loss": 0.1435, "step": 2220 }, { "epoch": 7.1, "grad_norm": 2.4758527278900146, "learning_rate": 0.00010530785562632696, "loss": 0.1725, "step": 2230 }, { "epoch": 7.13, "grad_norm": 2.8945116996765137, "learning_rate": 0.0001048832271762208, "loss": 0.1816, "step": 2240 }, { "epoch": 7.17, "grad_norm": 1.7378908395767212, "learning_rate": 0.00010445859872611465, "loss": 0.1915, "step": 2250 }, { "epoch": 7.2, "grad_norm": 3.76171612739563, "learning_rate": 0.0001040339702760085, "loss": 0.1212, "step": 2260 }, { "epoch": 7.23, "grad_norm": 2.1323678493499756, "learning_rate": 0.00010360934182590234, "loss": 0.1488, "step": 2270 }, { "epoch": 7.26, "grad_norm": 3.7445242404937744, "learning_rate": 0.00010318471337579619, "loss": 0.1953, "step": 2280 }, { "epoch": 7.29, "grad_norm": 2.166163682937622, "learning_rate": 0.00010276008492569003, "loss": 0.1469, "step": 2290 }, { "epoch": 7.32, "grad_norm": 3.0045981407165527, "learning_rate": 0.00010233545647558387, "loss": 0.1499, "step": 2300 }, { "epoch": 7.32, "eval_accuracy": 0.7, "eval_confusion_matrix": [ [ 68, 3, 3, 11, 1, 1, 1, 4, 7, 1 ], [ 60, 82, 0, 2, 6, 0, 6, 4, 31, 2 ], [ 2, 1, 43, 6, 2, 4, 2, 2, 0, 3 ], [ 2, 0, 2, 36, 6, 0, 0, 1, 1, 4 ], [ 1, 2, 1, 2, 83, 2, 0, 1, 0, 1 ], [ 4, 0, 3, 11, 2, 46, 0, 3, 2, 1 ], [ 0, 0, 0, 0, 1, 1, 54, 1, 1, 1 ], [ 4, 0, 1, 1, 0, 0, 0, 76, 1, 0 ], [ 9, 22, 0, 1, 2, 0, 16, 2, 127, 1 ], [ 1, 0, 1, 27, 0, 0, 0, 4, 0, 120 ] ], "eval_loss": 1.3652293682098389, "eval_runtime": 15.3818, "eval_samples_per_second": 68.262, "eval_steps_per_second": 4.291, "step": 2300 }, { "epoch": 7.36, "grad_norm": 2.051771879196167, "learning_rate": 0.00010191082802547771, "loss": 0.2339, "step": 2310 }, { "epoch": 7.39, "grad_norm": 2.841862201690674, "learning_rate": 0.00010148619957537155, "loss": 0.2014, "step": 2320 }, { "epoch": 7.42, "grad_norm": 5.293687343597412, "learning_rate": 0.0001010615711252654, "loss": 0.1718, "step": 2330 }, { "epoch": 7.45, "grad_norm": 0.5550873279571533, "learning_rate": 0.00010063694267515924, "loss": 0.142, "step": 2340 }, { "epoch": 7.48, "grad_norm": 4.287944316864014, "learning_rate": 0.00010021231422505308, "loss": 0.1815, "step": 2350 }, { "epoch": 7.52, "grad_norm": 1.0735574960708618, "learning_rate": 9.978768577494693e-05, "loss": 0.1861, "step": 2360 }, { "epoch": 7.55, "grad_norm": 3.090205430984497, "learning_rate": 9.936305732484077e-05, "loss": 0.169, "step": 2370 }, { "epoch": 7.58, "grad_norm": 2.5464820861816406, "learning_rate": 9.893842887473462e-05, "loss": 0.2243, "step": 2380 }, { "epoch": 7.61, "grad_norm": 4.008731365203857, "learning_rate": 9.851380042462846e-05, "loss": 0.1971, "step": 2390 }, { "epoch": 7.64, "grad_norm": 3.4554805755615234, "learning_rate": 9.80891719745223e-05, "loss": 0.1467, "step": 2400 }, { "epoch": 7.64, "eval_accuracy": 0.6676190476190477, "eval_confusion_matrix": [ [ 59, 3, 10, 7, 0, 7, 1, 2, 8, 3 ], [ 55, 65, 1, 0, 4, 4, 15, 3, 46, 0 ], [ 3, 1, 48, 6, 2, 1, 2, 0, 0, 2 ], [ 1, 0, 3, 34, 5, 1, 0, 0, 1, 7 ], [ 0, 4, 1, 2, 83, 2, 0, 0, 0, 1 ], [ 4, 2, 12, 3, 1, 46, 0, 0, 2, 2 ], [ 1, 0, 1, 0, 1, 0, 56, 0, 0, 0 ], [ 3, 0, 5, 1, 0, 2, 4, 68, 0, 0 ], [ 9, 18, 1, 0, 3, 1, 17, 1, 129, 1 ], [ 2, 3, 1, 32, 0, 0, 0, 2, 0, 113 ] ], "eval_loss": 1.4623304605484009, "eval_runtime": 15.2878, "eval_samples_per_second": 68.682, "eval_steps_per_second": 4.317, "step": 2400 }, { "epoch": 7.68, "grad_norm": 1.7582330703735352, "learning_rate": 9.766454352441614e-05, "loss": 0.1449, "step": 2410 }, { "epoch": 7.71, "grad_norm": 1.2631497383117676, "learning_rate": 9.723991507430998e-05, "loss": 0.1599, "step": 2420 }, { "epoch": 7.74, "grad_norm": 0.9202260971069336, "learning_rate": 9.681528662420382e-05, "loss": 0.0866, "step": 2430 }, { "epoch": 7.77, "grad_norm": 0.5633217692375183, "learning_rate": 9.639065817409766e-05, "loss": 0.2013, "step": 2440 }, { "epoch": 7.8, "grad_norm": 0.0941554605960846, "learning_rate": 9.59660297239915e-05, "loss": 0.1761, "step": 2450 }, { "epoch": 7.83, "grad_norm": 1.5101308822631836, "learning_rate": 9.554140127388536e-05, "loss": 0.0721, "step": 2460 }, { "epoch": 7.87, "grad_norm": 2.1253440380096436, "learning_rate": 9.51167728237792e-05, "loss": 0.1284, "step": 2470 }, { "epoch": 7.9, "grad_norm": 2.5228655338287354, "learning_rate": 9.469214437367304e-05, "loss": 0.141, "step": 2480 }, { "epoch": 7.93, "grad_norm": 1.9860364198684692, "learning_rate": 9.426751592356689e-05, "loss": 0.1518, "step": 2490 }, { "epoch": 7.96, "grad_norm": 0.04018540680408478, "learning_rate": 9.384288747346073e-05, "loss": 0.1163, "step": 2500 }, { "epoch": 7.96, "eval_accuracy": 0.6819047619047619, "eval_confusion_matrix": [ [ 53, 2, 15, 7, 0, 3, 6, 4, 5, 5 ], [ 62, 76, 2, 0, 4, 2, 19, 7, 16, 5 ], [ 1, 1, 52, 1, 1, 2, 2, 2, 0, 3 ], [ 1, 0, 5, 28, 6, 2, 1, 2, 0, 7 ], [ 0, 1, 1, 2, 83, 3, 1, 1, 0, 1 ], [ 2, 1, 13, 3, 0, 44, 1, 4, 0, 4 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 1, 0, 5, 0, 0, 1, 1, 75, 0, 0 ], [ 11, 17, 1, 0, 1, 1, 28, 3, 116, 2 ], [ 0, 3, 2, 10, 0, 1, 3, 2, 0, 132 ] ], "eval_loss": 1.530079960823059, "eval_runtime": 15.6324, "eval_samples_per_second": 67.168, "eval_steps_per_second": 4.222, "step": 2500 }, { "epoch": 7.99, "grad_norm": 2.986940622329712, "learning_rate": 9.341825902335457e-05, "loss": 0.1317, "step": 2510 }, { "epoch": 8.03, "grad_norm": 2.86224627494812, "learning_rate": 9.299363057324841e-05, "loss": 0.133, "step": 2520 }, { "epoch": 8.06, "grad_norm": 1.1539607048034668, "learning_rate": 9.256900212314225e-05, "loss": 0.1061, "step": 2530 }, { "epoch": 8.09, "grad_norm": 1.738471508026123, "learning_rate": 9.21443736730361e-05, "loss": 0.0456, "step": 2540 }, { "epoch": 8.12, "grad_norm": 4.975551605224609, "learning_rate": 9.171974522292994e-05, "loss": 0.1636, "step": 2550 }, { "epoch": 8.15, "grad_norm": 2.86753511428833, "learning_rate": 9.129511677282379e-05, "loss": 0.2237, "step": 2560 }, { "epoch": 8.18, "grad_norm": 2.0240707397460938, "learning_rate": 9.087048832271763e-05, "loss": 0.1529, "step": 2570 }, { "epoch": 8.22, "grad_norm": 3.7712082862854004, "learning_rate": 9.044585987261147e-05, "loss": 0.1449, "step": 2580 }, { "epoch": 8.25, "grad_norm": 2.0401346683502197, "learning_rate": 9.002123142250532e-05, "loss": 0.1584, "step": 2590 }, { "epoch": 8.28, "grad_norm": 1.6185662746429443, "learning_rate": 8.959660297239916e-05, "loss": 0.1087, "step": 2600 }, { "epoch": 8.28, "eval_accuracy": 0.7323809523809524, "eval_confusion_matrix": [ [ 62, 6, 5, 6, 0, 0, 2, 2, 12, 5 ], [ 32, 102, 0, 0, 2, 1, 12, 3, 41, 0 ], [ 3, 2, 45, 4, 1, 3, 3, 0, 0, 4 ], [ 5, 0, 3, 29, 3, 0, 0, 0, 3, 9 ], [ 1, 5, 0, 4, 73, 2, 1, 1, 4, 2 ], [ 5, 3, 3, 6, 1, 43, 0, 3, 3, 5 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 1, 0, 5, 1, 0, 0, 1, 72, 3, 0 ], [ 3, 21, 0, 1, 1, 0, 9, 1, 142, 2 ], [ 1, 0, 1, 6, 0, 0, 0, 1, 0, 144 ] ], "eval_loss": 1.2230817079544067, "eval_runtime": 15.3373, "eval_samples_per_second": 68.46, "eval_steps_per_second": 4.303, "step": 2600 }, { "epoch": 8.31, "grad_norm": 1.1602622270584106, "learning_rate": 8.9171974522293e-05, "loss": 0.0938, "step": 2610 }, { "epoch": 8.34, "grad_norm": 3.745410680770874, "learning_rate": 8.874734607218684e-05, "loss": 0.1808, "step": 2620 }, { "epoch": 8.38, "grad_norm": 7.07642936706543, "learning_rate": 8.832271762208068e-05, "loss": 0.2102, "step": 2630 }, { "epoch": 8.41, "grad_norm": 2.742769479751587, "learning_rate": 8.789808917197452e-05, "loss": 0.1217, "step": 2640 }, { "epoch": 8.44, "grad_norm": 3.350234031677246, "learning_rate": 8.747346072186838e-05, "loss": 0.1369, "step": 2650 }, { "epoch": 8.47, "grad_norm": 2.5689895153045654, "learning_rate": 8.704883227176222e-05, "loss": 0.1338, "step": 2660 }, { "epoch": 8.5, "grad_norm": 1.8818074464797974, "learning_rate": 8.662420382165606e-05, "loss": 0.1802, "step": 2670 }, { "epoch": 8.54, "grad_norm": 2.009812831878662, "learning_rate": 8.61995753715499e-05, "loss": 0.094, "step": 2680 }, { "epoch": 8.57, "grad_norm": 1.86770761013031, "learning_rate": 8.577494692144374e-05, "loss": 0.1355, "step": 2690 }, { "epoch": 8.6, "grad_norm": 2.059654474258423, "learning_rate": 8.535031847133759e-05, "loss": 0.1783, "step": 2700 }, { "epoch": 8.6, "eval_accuracy": 0.7390476190476191, "eval_confusion_matrix": [ [ 53, 5, 17, 5, 0, 3, 2, 4, 7, 4 ], [ 23, 127, 1, 0, 4, 2, 2, 3, 31, 0 ], [ 0, 1, 56, 2, 1, 2, 0, 0, 0, 3 ], [ 1, 0, 7, 34, 3, 1, 0, 0, 0, 6 ], [ 1, 2, 3, 6, 75, 1, 1, 0, 2, 2 ], [ 2, 1, 18, 5, 1, 40, 0, 2, 2, 1 ], [ 2, 0, 1, 0, 1, 0, 54, 0, 0, 1 ], [ 1, 0, 9, 1, 0, 0, 0, 71, 0, 1 ], [ 6, 27, 4, 0, 0, 1, 12, 0, 130, 0 ], [ 1, 2, 2, 11, 0, 0, 0, 1, 0, 136 ] ], "eval_loss": 1.1571182012557983, "eval_runtime": 15.4706, "eval_samples_per_second": 67.871, "eval_steps_per_second": 4.266, "step": 2700 }, { "epoch": 8.63, "grad_norm": 3.0963752269744873, "learning_rate": 8.492569002123143e-05, "loss": 0.1029, "step": 2710 }, { "epoch": 8.66, "grad_norm": 0.827233076095581, "learning_rate": 8.450106157112527e-05, "loss": 0.0846, "step": 2720 }, { "epoch": 8.69, "grad_norm": 1.6526960134506226, "learning_rate": 8.407643312101911e-05, "loss": 0.0648, "step": 2730 }, { "epoch": 8.73, "grad_norm": 0.8661704063415527, "learning_rate": 8.365180467091295e-05, "loss": 0.1123, "step": 2740 }, { "epoch": 8.76, "grad_norm": 2.4067697525024414, "learning_rate": 8.322717622080681e-05, "loss": 0.1395, "step": 2750 }, { "epoch": 8.79, "grad_norm": 2.14558482170105, "learning_rate": 8.280254777070065e-05, "loss": 0.098, "step": 2760 }, { "epoch": 8.82, "grad_norm": 2.7629847526550293, "learning_rate": 8.237791932059449e-05, "loss": 0.1616, "step": 2770 }, { "epoch": 8.85, "grad_norm": 0.8335350751876831, "learning_rate": 8.195329087048833e-05, "loss": 0.1403, "step": 2780 }, { "epoch": 8.89, "grad_norm": 0.8157089352607727, "learning_rate": 8.152866242038217e-05, "loss": 0.1176, "step": 2790 }, { "epoch": 8.92, "grad_norm": 11.032809257507324, "learning_rate": 8.110403397027602e-05, "loss": 0.1733, "step": 2800 }, { "epoch": 8.92, "eval_accuracy": 0.719047619047619, "eval_confusion_matrix": [ [ 51, 5, 13, 8, 0, 4, 4, 5, 8, 2 ], [ 29, 116, 6, 0, 0, 4, 10, 2, 26, 0 ], [ 1, 0, 49, 1, 1, 8, 2, 0, 0, 3 ], [ 0, 0, 5, 34, 4, 3, 0, 0, 0, 6 ], [ 1, 3, 4, 2, 76, 4, 2, 0, 1, 0 ], [ 1, 0, 8, 4, 0, 52, 0, 3, 2, 2 ], [ 0, 0, 1, 0, 0, 0, 58, 0, 0, 0 ], [ 1, 0, 9, 0, 0, 2, 0, 71, 0, 0 ], [ 3, 26, 5, 0, 0, 4, 19, 3, 118, 2 ], [ 1, 2, 2, 11, 0, 0, 5, 2, 0, 130 ] ], "eval_loss": 1.3043608665466309, "eval_runtime": 15.138, "eval_samples_per_second": 69.362, "eval_steps_per_second": 4.36, "step": 2800 }, { "epoch": 8.95, "grad_norm": 3.626187324523926, "learning_rate": 8.067940552016986e-05, "loss": 0.1916, "step": 2810 }, { "epoch": 8.98, "grad_norm": 3.0848803520202637, "learning_rate": 8.02547770700637e-05, "loss": 0.1663, "step": 2820 }, { "epoch": 9.01, "grad_norm": 1.9697245359420776, "learning_rate": 7.983014861995754e-05, "loss": 0.1136, "step": 2830 }, { "epoch": 9.04, "grad_norm": 0.600030243396759, "learning_rate": 7.940552016985138e-05, "loss": 0.1415, "step": 2840 }, { "epoch": 9.08, "grad_norm": 5.171400547027588, "learning_rate": 7.898089171974524e-05, "loss": 0.1881, "step": 2850 }, { "epoch": 9.11, "grad_norm": 2.708814859390259, "learning_rate": 7.855626326963908e-05, "loss": 0.1517, "step": 2860 }, { "epoch": 9.14, "grad_norm": 0.7085170149803162, "learning_rate": 7.813163481953292e-05, "loss": 0.0796, "step": 2870 }, { "epoch": 9.17, "grad_norm": 2.6039786338806152, "learning_rate": 7.770700636942676e-05, "loss": 0.0846, "step": 2880 }, { "epoch": 9.2, "grad_norm": 4.559110641479492, "learning_rate": 7.72823779193206e-05, "loss": 0.1696, "step": 2890 }, { "epoch": 9.24, "grad_norm": 3.545804262161255, "learning_rate": 7.685774946921445e-05, "loss": 0.1275, "step": 2900 }, { "epoch": 9.24, "eval_accuracy": 0.7266666666666667, "eval_confusion_matrix": [ [ 66, 6, 8, 5, 0, 4, 3, 3, 4, 1 ], [ 53, 111, 0, 0, 4, 1, 4, 3, 17, 0 ], [ 3, 1, 48, 3, 1, 5, 2, 0, 0, 2 ], [ 5, 1, 3, 27, 5, 2, 0, 2, 1, 6 ], [ 1, 2, 0, 1, 85, 0, 1, 0, 2, 1 ], [ 5, 0, 5, 6, 0, 50, 2, 3, 1, 0 ], [ 0, 0, 1, 0, 1, 0, 57, 0, 0, 0 ], [ 3, 0, 3, 0, 0, 2, 1, 74, 0, 0 ], [ 13, 34, 0, 1, 0, 1, 11, 1, 119, 0 ], [ 7, 0, 1, 14, 0, 0, 3, 2, 0, 126 ] ], "eval_loss": 1.2415543794631958, "eval_runtime": 15.3407, "eval_samples_per_second": 68.445, "eval_steps_per_second": 4.302, "step": 2900 }, { "epoch": 9.27, "grad_norm": 0.5964432954788208, "learning_rate": 7.643312101910829e-05, "loss": 0.0986, "step": 2910 }, { "epoch": 9.3, "grad_norm": 1.4419245719909668, "learning_rate": 7.600849256900213e-05, "loss": 0.0997, "step": 2920 }, { "epoch": 9.33, "grad_norm": 1.5141104459762573, "learning_rate": 7.558386411889597e-05, "loss": 0.1625, "step": 2930 }, { "epoch": 9.36, "grad_norm": 0.5192936658859253, "learning_rate": 7.515923566878981e-05, "loss": 0.1522, "step": 2940 }, { "epoch": 9.39, "grad_norm": 2.7084801197052, "learning_rate": 7.473460721868365e-05, "loss": 0.1412, "step": 2950 }, { "epoch": 9.43, "grad_norm": 3.396594762802124, "learning_rate": 7.43099787685775e-05, "loss": 0.123, "step": 2960 }, { "epoch": 9.46, "grad_norm": 0.13223083317279816, "learning_rate": 7.388535031847134e-05, "loss": 0.1273, "step": 2970 }, { "epoch": 9.49, "grad_norm": 1.5881577730178833, "learning_rate": 7.346072186836518e-05, "loss": 0.1309, "step": 2980 }, { "epoch": 9.52, "grad_norm": 2.229868173599243, "learning_rate": 7.303609341825902e-05, "loss": 0.1302, "step": 2990 }, { "epoch": 9.55, "grad_norm": 4.873483657836914, "learning_rate": 7.261146496815286e-05, "loss": 0.1231, "step": 3000 }, { "epoch": 9.55, "eval_accuracy": 0.7123809523809523, "eval_confusion_matrix": [ [ 73, 3, 7, 5, 0, 1, 4, 2, 4, 1 ], [ 84, 81, 0, 0, 3, 1, 3, 1, 20, 0 ], [ 2, 1, 51, 2, 1, 5, 0, 0, 0, 3 ], [ 5, 0, 3, 28, 6, 1, 0, 0, 1, 8 ], [ 1, 1, 0, 1, 86, 0, 1, 0, 2, 1 ], [ 9, 0, 6, 4, 1, 46, 1, 3, 2, 0 ], [ 2, 0, 1, 0, 1, 0, 54, 0, 0, 1 ], [ 10, 0, 1, 0, 0, 0, 1, 71, 0, 0 ], [ 21, 23, 1, 0, 0, 2, 12, 2, 119, 0 ], [ 7, 0, 1, 4, 0, 0, 0, 2, 0, 139 ] ], "eval_loss": 1.4283809661865234, "eval_runtime": 15.3421, "eval_samples_per_second": 68.439, "eval_steps_per_second": 4.302, "step": 3000 }, { "epoch": 9.59, "grad_norm": 1.5915924310684204, "learning_rate": 7.21868365180467e-05, "loss": 0.1309, "step": 3010 }, { "epoch": 9.62, "grad_norm": 0.040684912353754044, "learning_rate": 7.176220806794054e-05, "loss": 0.0861, "step": 3020 }, { "epoch": 9.65, "grad_norm": 2.1614465713500977, "learning_rate": 7.13375796178344e-05, "loss": 0.1997, "step": 3030 }, { "epoch": 9.68, "grad_norm": 2.8283462524414062, "learning_rate": 7.091295116772824e-05, "loss": 0.2087, "step": 3040 }, { "epoch": 9.71, "grad_norm": 2.3698461055755615, "learning_rate": 7.048832271762208e-05, "loss": 0.2046, "step": 3050 }, { "epoch": 9.75, "grad_norm": 0.0435897558927536, "learning_rate": 7.006369426751592e-05, "loss": 0.1335, "step": 3060 }, { "epoch": 9.78, "grad_norm": 0.3226892948150635, "learning_rate": 6.963906581740977e-05, "loss": 0.1027, "step": 3070 }, { "epoch": 9.81, "grad_norm": 3.1752257347106934, "learning_rate": 6.921443736730361e-05, "loss": 0.156, "step": 3080 }, { "epoch": 9.84, "grad_norm": 1.864380121231079, "learning_rate": 6.878980891719745e-05, "loss": 0.1441, "step": 3090 }, { "epoch": 9.87, "grad_norm": 2.183727502822876, "learning_rate": 6.836518046709129e-05, "loss": 0.1828, "step": 3100 }, { "epoch": 9.87, "eval_accuracy": 0.7523809523809524, "eval_confusion_matrix": [ [ 66, 2, 13, 7, 0, 0, 2, 1, 7, 2 ], [ 38, 115, 1, 0, 4, 0, 4, 2, 28, 1 ], [ 1, 0, 52, 2, 1, 4, 2, 0, 0, 3 ], [ 3, 0, 4, 35, 5, 0, 0, 0, 1, 4 ], [ 0, 1, 1, 5, 83, 0, 1, 0, 1, 1 ], [ 4, 1, 12, 6, 3, 41, 1, 2, 2, 0 ], [ 0, 0, 1, 0, 0, 0, 58, 0, 0, 0 ], [ 5, 0, 5, 0, 0, 0, 1, 72, 0, 0 ], [ 11, 24, 1, 0, 0, 0, 10, 1, 132, 1 ], [ 3, 0, 2, 9, 0, 0, 1, 2, 0, 136 ] ], "eval_loss": 1.2049111127853394, "eval_runtime": 15.2555, "eval_samples_per_second": 68.828, "eval_steps_per_second": 4.326, "step": 3100 }, { "epoch": 9.9, "grad_norm": 4.488446235656738, "learning_rate": 6.794055201698513e-05, "loss": 0.1018, "step": 3110 }, { "epoch": 9.94, "grad_norm": 3.176164388656616, "learning_rate": 6.751592356687899e-05, "loss": 0.1049, "step": 3120 }, { "epoch": 9.97, "grad_norm": 4.369916915893555, "learning_rate": 6.709129511677283e-05, "loss": 0.1179, "step": 3130 }, { "epoch": 10.0, "grad_norm": 2.099869728088379, "learning_rate": 6.666666666666667e-05, "loss": 0.1081, "step": 3140 }, { "epoch": 10.03, "grad_norm": 4.553194522857666, "learning_rate": 6.624203821656051e-05, "loss": 0.1152, "step": 3150 }, { "epoch": 10.06, "grad_norm": 0.31203553080558777, "learning_rate": 6.581740976645435e-05, "loss": 0.0666, "step": 3160 }, { "epoch": 10.1, "grad_norm": 1.5009262561798096, "learning_rate": 6.53927813163482e-05, "loss": 0.1208, "step": 3170 }, { "epoch": 10.13, "grad_norm": 0.2197587788105011, "learning_rate": 6.496815286624204e-05, "loss": 0.0826, "step": 3180 }, { "epoch": 10.16, "grad_norm": 0.05214032158255577, "learning_rate": 6.454352441613588e-05, "loss": 0.0983, "step": 3190 }, { "epoch": 10.19, "grad_norm": 3.6048381328582764, "learning_rate": 6.411889596602972e-05, "loss": 0.083, "step": 3200 }, { "epoch": 10.19, "eval_accuracy": 0.7238095238095238, "eval_confusion_matrix": [ [ 57, 5, 16, 5, 1, 1, 7, 2, 3, 3 ], [ 30, 127, 0, 0, 1, 2, 11, 3, 18, 1 ], [ 0, 0, 52, 3, 1, 5, 2, 0, 0, 2 ], [ 4, 0, 5, 30, 5, 1, 0, 0, 0, 7 ], [ 1, 1, 0, 4, 84, 0, 1, 0, 1, 1 ], [ 3, 1, 9, 4, 1, 48, 2, 1, 2, 1 ], [ 0, 0, 1, 0, 0, 0, 57, 0, 0, 1 ], [ 4, 0, 7, 0, 0, 0, 3, 69, 0, 0 ], [ 9, 27, 1, 0, 0, 1, 32, 0, 109, 1 ], [ 2, 1, 2, 16, 0, 0, 3, 2, 0, 127 ] ], "eval_loss": 1.2484331130981445, "eval_runtime": 15.4412, "eval_samples_per_second": 68.0, "eval_steps_per_second": 4.274, "step": 3200 }, { "epoch": 10.22, "grad_norm": 2.7771308422088623, "learning_rate": 6.369426751592356e-05, "loss": 0.1365, "step": 3210 }, { "epoch": 10.25, "grad_norm": 0.18859456479549408, "learning_rate": 6.326963906581742e-05, "loss": 0.0684, "step": 3220 }, { "epoch": 10.29, "grad_norm": 1.620737910270691, "learning_rate": 6.284501061571126e-05, "loss": 0.1069, "step": 3230 }, { "epoch": 10.32, "grad_norm": 0.8589503765106201, "learning_rate": 6.24203821656051e-05, "loss": 0.172, "step": 3240 }, { "epoch": 10.35, "grad_norm": 1.9255318641662598, "learning_rate": 6.199575371549894e-05, "loss": 0.0901, "step": 3250 }, { "epoch": 10.38, "grad_norm": 3.53298282623291, "learning_rate": 6.157112526539278e-05, "loss": 0.0516, "step": 3260 }, { "epoch": 10.41, "grad_norm": 1.6446423530578613, "learning_rate": 6.114649681528662e-05, "loss": 0.15, "step": 3270 }, { "epoch": 10.45, "grad_norm": 2.324852466583252, "learning_rate": 6.0721868365180465e-05, "loss": 0.1349, "step": 3280 }, { "epoch": 10.48, "grad_norm": 1.3299524784088135, "learning_rate": 6.0297239915074314e-05, "loss": 0.0912, "step": 3290 }, { "epoch": 10.51, "grad_norm": 0.16438178718090057, "learning_rate": 5.9872611464968155e-05, "loss": 0.1256, "step": 3300 }, { "epoch": 10.51, "eval_accuracy": 0.7228571428571429, "eval_confusion_matrix": [ [ 64, 4, 8, 4, 1, 7, 5, 2, 2, 3 ], [ 43, 119, 0, 0, 2, 1, 10, 3, 14, 1 ], [ 0, 0, 49, 3, 1, 7, 2, 0, 0, 3 ], [ 4, 0, 8, 27, 5, 1, 0, 0, 0, 7 ], [ 2, 1, 2, 2, 81, 3, 1, 0, 1, 0 ], [ 2, 2, 10, 3, 0, 50, 1, 0, 2, 2 ], [ 0, 1, 1, 0, 1, 0, 55, 0, 0, 1 ], [ 2, 0, 3, 0, 0, 0, 1, 77, 0, 0 ], [ 11, 37, 0, 0, 0, 3, 25, 2, 102, 0 ], [ 1, 1, 2, 11, 0, 0, 1, 2, 0, 135 ] ], "eval_loss": 1.2746260166168213, "eval_runtime": 15.3791, "eval_samples_per_second": 68.274, "eval_steps_per_second": 4.292, "step": 3300 }, { "epoch": 10.54, "grad_norm": 1.9269123077392578, "learning_rate": 5.9447983014862e-05, "loss": 0.0969, "step": 3310 }, { "epoch": 10.57, "grad_norm": 1.9249624013900757, "learning_rate": 5.902335456475584e-05, "loss": 0.0927, "step": 3320 }, { "epoch": 10.61, "grad_norm": 1.8576029539108276, "learning_rate": 5.859872611464968e-05, "loss": 0.0572, "step": 3330 }, { "epoch": 10.64, "grad_norm": 3.594461441040039, "learning_rate": 5.817409766454353e-05, "loss": 0.0982, "step": 3340 }, { "epoch": 10.67, "grad_norm": 1.7123650312423706, "learning_rate": 5.774946921443737e-05, "loss": 0.083, "step": 3350 }, { "epoch": 10.7, "grad_norm": 0.2372170090675354, "learning_rate": 5.732484076433121e-05, "loss": 0.0989, "step": 3360 }, { "epoch": 10.73, "grad_norm": 4.383459091186523, "learning_rate": 5.690021231422505e-05, "loss": 0.1262, "step": 3370 }, { "epoch": 10.76, "grad_norm": 2.293396472930908, "learning_rate": 5.6475583864118895e-05, "loss": 0.1413, "step": 3380 }, { "epoch": 10.8, "grad_norm": 3.0922889709472656, "learning_rate": 5.605095541401274e-05, "loss": 0.1755, "step": 3390 }, { "epoch": 10.83, "grad_norm": 3.0807735919952393, "learning_rate": 5.5626326963906585e-05, "loss": 0.1067, "step": 3400 }, { "epoch": 10.83, "eval_accuracy": 0.7380952380952381, "eval_confusion_matrix": [ [ 55, 3, 11, 9, 1, 2, 7, 2, 6, 4 ], [ 35, 122, 0, 0, 1, 1, 6, 2, 25, 1 ], [ 2, 1, 50, 2, 1, 3, 4, 0, 0, 2 ], [ 2, 0, 4, 37, 4, 0, 0, 0, 0, 5 ], [ 0, 1, 1, 4, 82, 2, 1, 0, 1, 1 ], [ 2, 1, 13, 6, 0, 44, 1, 0, 1, 4 ], [ 0, 1, 1, 0, 0, 0, 56, 0, 0, 1 ], [ 1, 0, 3, 1, 0, 0, 1, 76, 0, 1 ], [ 9, 36, 0, 0, 0, 1, 20, 2, 112, 0 ], [ 0, 0, 2, 10, 0, 0, 0, 0, 0, 141 ] ], "eval_loss": 1.190523624420166, "eval_runtime": 15.9133, "eval_samples_per_second": 65.982, "eval_steps_per_second": 4.147, "step": 3400 }, { "epoch": 10.86, "grad_norm": 6.171202182769775, "learning_rate": 5.5201698513800426e-05, "loss": 0.1262, "step": 3410 }, { "epoch": 10.89, "grad_norm": 0.7859517931938171, "learning_rate": 5.477707006369427e-05, "loss": 0.1045, "step": 3420 }, { "epoch": 10.92, "grad_norm": 2.1993987560272217, "learning_rate": 5.435244161358811e-05, "loss": 0.1104, "step": 3430 }, { "epoch": 10.96, "grad_norm": 1.4276065826416016, "learning_rate": 5.392781316348196e-05, "loss": 0.098, "step": 3440 }, { "epoch": 10.99, "grad_norm": 3.335463523864746, "learning_rate": 5.35031847133758e-05, "loss": 0.0561, "step": 3450 }, { "epoch": 11.02, "grad_norm": 1.2473598718643188, "learning_rate": 5.307855626326964e-05, "loss": 0.0946, "step": 3460 }, { "epoch": 11.05, "grad_norm": 2.4468166828155518, "learning_rate": 5.265392781316348e-05, "loss": 0.1373, "step": 3470 }, { "epoch": 11.08, "grad_norm": 4.396722793579102, "learning_rate": 5.2229299363057324e-05, "loss": 0.0794, "step": 3480 }, { "epoch": 11.11, "grad_norm": 1.3597296476364136, "learning_rate": 5.180467091295117e-05, "loss": 0.1506, "step": 3490 }, { "epoch": 11.15, "grad_norm": 1.7938604354858398, "learning_rate": 5.1380042462845014e-05, "loss": 0.092, "step": 3500 }, { "epoch": 11.15, "eval_accuracy": 0.7476190476190476, "eval_confusion_matrix": [ [ 65, 3, 8, 2, 0, 4, 5, 2, 9, 2 ], [ 27, 108, 0, 0, 1, 1, 8, 2, 46, 0 ], [ 4, 0, 49, 2, 1, 4, 3, 0, 0, 2 ], [ 2, 0, 3, 37, 4, 0, 0, 0, 1, 5 ], [ 0, 1, 1, 3, 83, 2, 1, 0, 1, 1 ], [ 6, 2, 8, 6, 0, 45, 1, 0, 1, 3 ], [ 0, 0, 1, 0, 0, 0, 56, 0, 1, 1 ], [ 3, 0, 2, 1, 0, 1, 3, 72, 0, 1 ], [ 10, 22, 0, 0, 0, 1, 12, 1, 134, 0 ], [ 1, 0, 1, 12, 0, 1, 2, 0, 0, 136 ] ], "eval_loss": 1.1174523830413818, "eval_runtime": 15.7765, "eval_samples_per_second": 66.554, "eval_steps_per_second": 4.183, "step": 3500 }, { "epoch": 11.18, "grad_norm": 0.015160035341978073, "learning_rate": 5.0955414012738855e-05, "loss": 0.08, "step": 3510 }, { "epoch": 11.21, "grad_norm": 2.8019070625305176, "learning_rate": 5.05307855626327e-05, "loss": 0.1266, "step": 3520 }, { "epoch": 11.24, "grad_norm": 0.25064635276794434, "learning_rate": 5.010615711252654e-05, "loss": 0.1271, "step": 3530 }, { "epoch": 11.27, "grad_norm": 2.228379726409912, "learning_rate": 4.968152866242039e-05, "loss": 0.0815, "step": 3540 }, { "epoch": 11.31, "grad_norm": 1.0253998041152954, "learning_rate": 4.925690021231423e-05, "loss": 0.0373, "step": 3550 }, { "epoch": 11.34, "grad_norm": 2.2330989837646484, "learning_rate": 4.883227176220807e-05, "loss": 0.1606, "step": 3560 }, { "epoch": 11.37, "grad_norm": 2.266019821166992, "learning_rate": 4.840764331210191e-05, "loss": 0.0989, "step": 3570 }, { "epoch": 11.4, "grad_norm": 0.6040272116661072, "learning_rate": 4.798301486199575e-05, "loss": 0.0714, "step": 3580 }, { "epoch": 11.43, "grad_norm": 2.601849317550659, "learning_rate": 4.75583864118896e-05, "loss": 0.1037, "step": 3590 }, { "epoch": 11.46, "grad_norm": 2.4073190689086914, "learning_rate": 4.713375796178344e-05, "loss": 0.153, "step": 3600 }, { "epoch": 11.46, "eval_accuracy": 0.7361904761904762, "eval_confusion_matrix": [ [ 75, 4, 9, 1, 0, 1, 2, 3, 4, 1 ], [ 51, 111, 0, 1, 1, 1, 1, 3, 24, 0 ], [ 2, 1, 52, 2, 1, 3, 0, 2, 0, 2 ], [ 4, 1, 6, 30, 4, 0, 0, 1, 0, 6 ], [ 1, 4, 1, 4, 80, 0, 1, 1, 0, 1 ], [ 6, 4, 8, 6, 1, 39, 0, 1, 2, 5 ], [ 2, 1, 1, 1, 1, 0, 52, 0, 0, 1 ], [ 2, 0, 1, 0, 0, 0, 0, 80, 0, 0 ], [ 15, 33, 0, 0, 1, 1, 11, 3, 114, 2 ], [ 1, 0, 1, 7, 2, 0, 1, 1, 0, 140 ] ], "eval_loss": 1.243424654006958, "eval_runtime": 15.7389, "eval_samples_per_second": 66.714, "eval_steps_per_second": 4.193, "step": 3600 }, { "epoch": 11.5, "grad_norm": 3.7230005264282227, "learning_rate": 4.6709129511677285e-05, "loss": 0.0819, "step": 3610 }, { "epoch": 11.53, "grad_norm": 2.161355495452881, "learning_rate": 4.6284501061571126e-05, "loss": 0.0946, "step": 3620 }, { "epoch": 11.56, "grad_norm": 0.5289556384086609, "learning_rate": 4.585987261146497e-05, "loss": 0.0634, "step": 3630 }, { "epoch": 11.59, "grad_norm": 0.37803375720977783, "learning_rate": 4.5435244161358816e-05, "loss": 0.0931, "step": 3640 }, { "epoch": 11.62, "grad_norm": 1.356149673461914, "learning_rate": 4.501061571125266e-05, "loss": 0.0854, "step": 3650 }, { "epoch": 11.66, "grad_norm": 1.575438380241394, "learning_rate": 4.45859872611465e-05, "loss": 0.08, "step": 3660 }, { "epoch": 11.69, "grad_norm": 1.5214145183563232, "learning_rate": 4.416135881104034e-05, "loss": 0.0578, "step": 3670 }, { "epoch": 11.72, "grad_norm": 0.6308757662773132, "learning_rate": 4.373673036093419e-05, "loss": 0.0849, "step": 3680 }, { "epoch": 11.75, "grad_norm": 2.426156520843506, "learning_rate": 4.331210191082803e-05, "loss": 0.1025, "step": 3690 }, { "epoch": 11.78, "grad_norm": 2.7888565063476562, "learning_rate": 4.288747346072187e-05, "loss": 0.1065, "step": 3700 }, { "epoch": 11.78, "eval_accuracy": 0.7371428571428571, "eval_confusion_matrix": [ [ 69, 2, 10, 2, 0, 2, 6, 3, 5, 1 ], [ 44, 109, 2, 0, 0, 2, 5, 3, 28, 0 ], [ 2, 1, 50, 2, 1, 4, 2, 1, 0, 2 ], [ 4, 0, 4, 32, 4, 2, 0, 1, 1, 4 ], [ 1, 2, 2, 6, 76, 2, 1, 1, 2, 0 ], [ 2, 1, 11, 4, 0, 47, 2, 1, 2, 2 ], [ 0, 0, 1, 0, 0, 0, 58, 0, 0, 0 ], [ 2, 0, 4, 0, 0, 0, 1, 76, 0, 0 ], [ 9, 27, 0, 0, 0, 1, 13, 1, 128, 1 ], [ 2, 2, 2, 13, 0, 0, 4, 1, 0, 129 ] ], "eval_loss": 1.232663631439209, "eval_runtime": 15.4779, "eval_samples_per_second": 67.839, "eval_steps_per_second": 4.264, "step": 3700 }, { "epoch": 11.82, "grad_norm": 0.030465861782431602, "learning_rate": 4.2462845010615714e-05, "loss": 0.0873, "step": 3710 }, { "epoch": 11.85, "grad_norm": 1.4719470739364624, "learning_rate": 4.2038216560509556e-05, "loss": 0.1074, "step": 3720 }, { "epoch": 11.88, "grad_norm": 0.23886482417583466, "learning_rate": 4.1613588110403404e-05, "loss": 0.0592, "step": 3730 }, { "epoch": 11.91, "grad_norm": 2.1231284141540527, "learning_rate": 4.1188959660297246e-05, "loss": 0.0642, "step": 3740 }, { "epoch": 11.94, "grad_norm": 0.41407281160354614, "learning_rate": 4.076433121019109e-05, "loss": 0.1265, "step": 3750 }, { "epoch": 11.97, "grad_norm": 3.6939876079559326, "learning_rate": 4.033970276008493e-05, "loss": 0.1025, "step": 3760 }, { "epoch": 12.01, "grad_norm": 0.5653472542762756, "learning_rate": 3.991507430997877e-05, "loss": 0.111, "step": 3770 }, { "epoch": 12.04, "grad_norm": 1.5738434791564941, "learning_rate": 3.949044585987262e-05, "loss": 0.1009, "step": 3780 }, { "epoch": 12.07, "grad_norm": 0.18574613332748413, "learning_rate": 3.906581740976646e-05, "loss": 0.0578, "step": 3790 }, { "epoch": 12.1, "grad_norm": 2.1222317218780518, "learning_rate": 3.86411889596603e-05, "loss": 0.0875, "step": 3800 }, { "epoch": 12.1, "eval_accuracy": 0.7457142857142857, "eval_confusion_matrix": [ [ 67, 3, 10, 5, 0, 3, 1, 3, 6, 2 ], [ 40, 110, 0, 0, 1, 1, 4, 3, 34, 0 ], [ 1, 1, 51, 2, 1, 3, 1, 2, 0, 3 ], [ 3, 0, 4, 35, 4, 1, 0, 1, 0, 4 ], [ 0, 2, 1, 5, 78, 3, 1, 1, 1, 1 ], [ 1, 2, 12, 4, 0, 45, 2, 4, 1, 1 ], [ 0, 0, 1, 0, 1, 0, 56, 0, 0, 1 ], [ 2, 0, 2, 0, 0, 0, 1, 78, 0, 0 ], [ 9, 26, 0, 0, 1, 1, 12, 1, 129, 1 ], [ 0, 0, 2, 13, 0, 0, 3, 1, 0, 134 ] ], "eval_loss": 1.2356998920440674, "eval_runtime": 15.3228, "eval_samples_per_second": 68.525, "eval_steps_per_second": 4.307, "step": 3800 }, { "epoch": 12.13, "grad_norm": 6.8635478019714355, "learning_rate": 3.821656050955414e-05, "loss": 0.0778, "step": 3810 }, { "epoch": 12.17, "grad_norm": 3.9780235290527344, "learning_rate": 3.7791932059447985e-05, "loss": 0.103, "step": 3820 }, { "epoch": 12.2, "grad_norm": 1.2772787809371948, "learning_rate": 3.7367303609341826e-05, "loss": 0.0413, "step": 3830 }, { "epoch": 12.23, "grad_norm": 2.644360065460205, "learning_rate": 3.694267515923567e-05, "loss": 0.0451, "step": 3840 }, { "epoch": 12.26, "grad_norm": 3.3227038383483887, "learning_rate": 3.651804670912951e-05, "loss": 0.0924, "step": 3850 }, { "epoch": 12.29, "grad_norm": 0.4245937764644623, "learning_rate": 3.609341825902335e-05, "loss": 0.0422, "step": 3860 }, { "epoch": 12.32, "grad_norm": 1.7972066402435303, "learning_rate": 3.56687898089172e-05, "loss": 0.0574, "step": 3870 }, { "epoch": 12.36, "grad_norm": 4.524425983428955, "learning_rate": 3.524416135881104e-05, "loss": 0.0768, "step": 3880 }, { "epoch": 12.39, "grad_norm": 3.626488447189331, "learning_rate": 3.481953290870488e-05, "loss": 0.081, "step": 3890 }, { "epoch": 12.42, "grad_norm": 1.6742682456970215, "learning_rate": 3.4394904458598724e-05, "loss": 0.0714, "step": 3900 }, { "epoch": 12.42, "eval_accuracy": 0.7304761904761905, "eval_confusion_matrix": [ [ 77, 3, 7, 3, 0, 1, 2, 2, 4, 1 ], [ 58, 103, 0, 0, 0, 1, 4, 1, 26, 0 ], [ 4, 1, 51, 2, 1, 3, 1, 0, 0, 2 ], [ 4, 0, 4, 33, 6, 0, 0, 0, 0, 5 ], [ 3, 1, 4, 3, 77, 2, 1, 0, 1, 1 ], [ 5, 2, 14, 6, 0, 44, 0, 0, 0, 1 ], [ 2, 1, 1, 0, 1, 0, 53, 0, 0, 1 ], [ 7, 0, 7, 0, 0, 0, 0, 69, 0, 0 ], [ 14, 28, 0, 0, 0, 1, 12, 1, 124, 0 ], [ 2, 0, 1, 11, 0, 3, 0, 0, 0, 136 ] ], "eval_loss": 1.2995976209640503, "eval_runtime": 15.7291, "eval_samples_per_second": 66.755, "eval_steps_per_second": 4.196, "step": 3900 }, { "epoch": 12.45, "grad_norm": 0.18191276490688324, "learning_rate": 3.3970276008492566e-05, "loss": 0.1241, "step": 3910 }, { "epoch": 12.48, "grad_norm": 1.7220439910888672, "learning_rate": 3.3545647558386414e-05, "loss": 0.117, "step": 3920 }, { "epoch": 12.52, "grad_norm": 2.8817391395568848, "learning_rate": 3.3121019108280256e-05, "loss": 0.0711, "step": 3930 }, { "epoch": 12.55, "grad_norm": 2.5080385208129883, "learning_rate": 3.26963906581741e-05, "loss": 0.1241, "step": 3940 }, { "epoch": 12.58, "grad_norm": 1.9212385416030884, "learning_rate": 3.227176220806794e-05, "loss": 0.057, "step": 3950 }, { "epoch": 12.61, "grad_norm": 0.9736161231994629, "learning_rate": 3.184713375796178e-05, "loss": 0.0674, "step": 3960 }, { "epoch": 12.64, "grad_norm": 3.3597800731658936, "learning_rate": 3.142250530785563e-05, "loss": 0.0848, "step": 3970 }, { "epoch": 12.68, "grad_norm": 0.008619729429483414, "learning_rate": 3.099787685774947e-05, "loss": 0.0811, "step": 3980 }, { "epoch": 12.71, "grad_norm": 1.4590424299240112, "learning_rate": 3.057324840764331e-05, "loss": 0.0564, "step": 3990 }, { "epoch": 12.74, "grad_norm": 0.1266852766275406, "learning_rate": 3.0148619957537157e-05, "loss": 0.1433, "step": 4000 }, { "epoch": 12.74, "eval_accuracy": 0.7409523809523809, "eval_confusion_matrix": [ [ 74, 4, 9, 3, 0, 2, 1, 2, 4, 1 ], [ 42, 114, 0, 0, 1, 1, 3, 3, 29, 0 ], [ 4, 0, 49, 2, 1, 5, 2, 0, 0, 2 ], [ 4, 0, 4, 31, 6, 2, 0, 0, 0, 5 ], [ 0, 1, 2, 2, 86, 0, 1, 0, 0, 1 ], [ 7, 2, 9, 6, 0, 46, 1, 0, 0, 1 ], [ 2, 1, 1, 0, 1, 0, 53, 0, 0, 1 ], [ 3, 0, 5, 0, 0, 0, 0, 75, 0, 0 ], [ 9, 34, 0, 0, 1, 2, 11, 1, 120, 2 ], [ 3, 0, 1, 16, 0, 1, 2, 0, 0, 130 ] ], "eval_loss": 1.2166801691055298, "eval_runtime": 15.2638, "eval_samples_per_second": 68.79, "eval_steps_per_second": 4.324, "step": 4000 }, { "epoch": 12.77, "grad_norm": 0.010001400485634804, "learning_rate": 2.9723991507431e-05, "loss": 0.1069, "step": 4010 }, { "epoch": 12.8, "grad_norm": 0.3851306438446045, "learning_rate": 2.929936305732484e-05, "loss": 0.0686, "step": 4020 }, { "epoch": 12.83, "grad_norm": 2.4934566020965576, "learning_rate": 2.8874734607218685e-05, "loss": 0.1435, "step": 4030 }, { "epoch": 12.87, "grad_norm": 1.281803846359253, "learning_rate": 2.8450106157112527e-05, "loss": 0.0722, "step": 4040 }, { "epoch": 12.9, "grad_norm": 0.7258008122444153, "learning_rate": 2.802547770700637e-05, "loss": 0.1327, "step": 4050 }, { "epoch": 12.93, "grad_norm": 0.012724624946713448, "learning_rate": 2.7600849256900213e-05, "loss": 0.0961, "step": 4060 }, { "epoch": 12.96, "grad_norm": 3.1563878059387207, "learning_rate": 2.7176220806794055e-05, "loss": 0.0766, "step": 4070 }, { "epoch": 12.99, "grad_norm": 2.661426544189453, "learning_rate": 2.67515923566879e-05, "loss": 0.0778, "step": 4080 }, { "epoch": 13.03, "grad_norm": 4.320444107055664, "learning_rate": 2.632696390658174e-05, "loss": 0.0692, "step": 4090 }, { "epoch": 13.06, "grad_norm": 2.4924447536468506, "learning_rate": 2.5902335456475586e-05, "loss": 0.0765, "step": 4100 }, { "epoch": 13.06, "eval_accuracy": 0.7380952380952381, "eval_confusion_matrix": [ [ 69, 4, 10, 3, 0, 4, 4, 2, 3, 1 ], [ 48, 105, 0, 0, 2, 1, 6, 3, 28, 0 ], [ 3, 0, 50, 1, 1, 6, 2, 0, 0, 2 ], [ 4, 0, 5, 31, 6, 1, 0, 0, 0, 5 ], [ 0, 1, 1, 4, 82, 2, 1, 1, 0, 1 ], [ 3, 2, 10, 5, 0, 47, 2, 2, 0, 1 ], [ 0, 1, 1, 0, 1, 0, 55, 0, 0, 1 ], [ 2, 0, 3, 0, 0, 0, 0, 78, 0, 0 ], [ 10, 30, 0, 0, 1, 2, 16, 1, 118, 2 ], [ 1, 0, 1, 8, 0, 2, 0, 1, 0, 140 ] ], "eval_loss": 1.2837210893630981, "eval_runtime": 15.5402, "eval_samples_per_second": 67.567, "eval_steps_per_second": 4.247, "step": 4100 }, { "epoch": 13.09, "grad_norm": 2.188967704772949, "learning_rate": 2.5477707006369428e-05, "loss": 0.0632, "step": 4110 }, { "epoch": 13.12, "grad_norm": 1.1061598062515259, "learning_rate": 2.505307855626327e-05, "loss": 0.0618, "step": 4120 }, { "epoch": 13.15, "grad_norm": 1.8072304725646973, "learning_rate": 2.4628450106157114e-05, "loss": 0.0436, "step": 4130 }, { "epoch": 13.18, "grad_norm": 0.3257448971271515, "learning_rate": 2.4203821656050956e-05, "loss": 0.0804, "step": 4140 }, { "epoch": 13.22, "grad_norm": 0.5817819237709045, "learning_rate": 2.37791932059448e-05, "loss": 0.034, "step": 4150 }, { "epoch": 13.25, "grad_norm": 2.3578078746795654, "learning_rate": 2.3354564755838642e-05, "loss": 0.069, "step": 4160 }, { "epoch": 13.28, "grad_norm": 0.23316432535648346, "learning_rate": 2.2929936305732484e-05, "loss": 0.0593, "step": 4170 }, { "epoch": 13.31, "grad_norm": 1.1364542245864868, "learning_rate": 2.250530785562633e-05, "loss": 0.0801, "step": 4180 }, { "epoch": 13.34, "grad_norm": 3.3843605518341064, "learning_rate": 2.208067940552017e-05, "loss": 0.1013, "step": 4190 }, { "epoch": 13.38, "grad_norm": 0.20773310959339142, "learning_rate": 2.1656050955414015e-05, "loss": 0.0753, "step": 4200 }, { "epoch": 13.38, "eval_accuracy": 0.7371428571428571, "eval_confusion_matrix": [ [ 72, 4, 9, 2, 0, 3, 3, 2, 4, 1 ], [ 46, 110, 0, 0, 1, 1, 5, 3, 27, 0 ], [ 3, 0, 51, 1, 1, 6, 1, 0, 0, 2 ], [ 4, 0, 5, 30, 6, 1, 0, 0, 0, 6 ], [ 0, 1, 2, 3, 80, 2, 1, 1, 2, 1 ], [ 7, 2, 8, 4, 0, 49, 0, 0, 1, 1 ], [ 0, 1, 1, 0, 1, 0, 55, 0, 0, 1 ], [ 2, 0, 4, 0, 0, 1, 0, 76, 0, 0 ], [ 9, 34, 1, 0, 1, 1, 12, 1, 120, 1 ], [ 7, 1, 1, 9, 0, 3, 0, 1, 0, 131 ] ], "eval_loss": 1.2866138219833374, "eval_runtime": 15.4187, "eval_samples_per_second": 68.099, "eval_steps_per_second": 4.281, "step": 4200 }, { "epoch": 13.41, "grad_norm": 1.7785210609436035, "learning_rate": 2.1231422505307857e-05, "loss": 0.0957, "step": 4210 }, { "epoch": 13.44, "grad_norm": 4.4371185302734375, "learning_rate": 2.0806794055201702e-05, "loss": 0.0679, "step": 4220 }, { "epoch": 13.47, "grad_norm": 3.352201223373413, "learning_rate": 2.0382165605095544e-05, "loss": 0.0673, "step": 4230 }, { "epoch": 13.5, "grad_norm": 1.5773141384124756, "learning_rate": 1.9957537154989385e-05, "loss": 0.1248, "step": 4240 }, { "epoch": 13.54, "grad_norm": 1.759545922279358, "learning_rate": 1.953290870488323e-05, "loss": 0.0741, "step": 4250 }, { "epoch": 13.57, "grad_norm": 2.9278829097747803, "learning_rate": 1.910828025477707e-05, "loss": 0.0693, "step": 4260 }, { "epoch": 13.6, "grad_norm": 0.01691564917564392, "learning_rate": 1.8683651804670913e-05, "loss": 0.095, "step": 4270 }, { "epoch": 13.63, "grad_norm": 3.3381359577178955, "learning_rate": 1.8259023354564755e-05, "loss": 0.0699, "step": 4280 }, { "epoch": 13.66, "grad_norm": 0.33229127526283264, "learning_rate": 1.78343949044586e-05, "loss": 0.0591, "step": 4290 }, { "epoch": 13.69, "grad_norm": 0.5169569849967957, "learning_rate": 1.740976645435244e-05, "loss": 0.0766, "step": 4300 }, { "epoch": 13.69, "eval_accuracy": 0.7323809523809524, "eval_confusion_matrix": [ [ 68, 5, 9, 5, 0, 2, 3, 3, 3, 2 ], [ 53, 106, 0, 0, 1, 1, 6, 4, 22, 0 ], [ 2, 0, 54, 1, 1, 4, 1, 0, 0, 2 ], [ 3, 0, 5, 34, 4, 1, 0, 0, 0, 5 ], [ 0, 2, 1, 4, 79, 2, 2, 1, 1, 1 ], [ 4, 2, 10, 4, 0, 47, 1, 2, 1, 1 ], [ 0, 1, 1, 0, 1, 0, 55, 0, 0, 1 ], [ 2, 0, 3, 0, 0, 0, 1, 77, 0, 0 ], [ 10, 37, 0, 0, 1, 1, 13, 1, 115, 2 ], [ 5, 0, 1, 11, 0, 1, 0, 1, 0, 134 ] ], "eval_loss": 1.3334447145462036, "eval_runtime": 15.6561, "eval_samples_per_second": 67.067, "eval_steps_per_second": 4.216, "step": 4300 }, { "epoch": 13.73, "grad_norm": 3.5023386478424072, "learning_rate": 1.6985138004246283e-05, "loss": 0.0602, "step": 4310 }, { "epoch": 13.76, "grad_norm": 1.4914608001708984, "learning_rate": 1.6560509554140128e-05, "loss": 0.0985, "step": 4320 }, { "epoch": 13.79, "grad_norm": 3.574211359024048, "learning_rate": 1.613588110403397e-05, "loss": 0.1329, "step": 4330 }, { "epoch": 13.82, "grad_norm": 1.6108194589614868, "learning_rate": 1.5711252653927814e-05, "loss": 0.0571, "step": 4340 }, { "epoch": 13.85, "grad_norm": 1.1470590829849243, "learning_rate": 1.5286624203821656e-05, "loss": 0.0615, "step": 4350 }, { "epoch": 13.89, "grad_norm": 1.373115062713623, "learning_rate": 1.48619957537155e-05, "loss": 0.0951, "step": 4360 }, { "epoch": 13.92, "grad_norm": 0.7028450965881348, "learning_rate": 1.4437367303609342e-05, "loss": 0.0556, "step": 4370 }, { "epoch": 13.95, "grad_norm": 1.0304226875305176, "learning_rate": 1.4012738853503186e-05, "loss": 0.0641, "step": 4380 }, { "epoch": 13.98, "grad_norm": 2.3109376430511475, "learning_rate": 1.3588110403397027e-05, "loss": 0.0375, "step": 4390 }, { "epoch": 14.01, "grad_norm": 0.2413637489080429, "learning_rate": 1.316348195329087e-05, "loss": 0.0699, "step": 4400 }, { "epoch": 14.01, "eval_accuracy": 0.7276190476190476, "eval_confusion_matrix": [ [ 66, 3, 8, 5, 0, 2, 3, 5, 6, 2 ], [ 59, 94, 0, 0, 1, 1, 5, 5, 28, 0 ], [ 2, 0, 53, 1, 1, 4, 1, 1, 0, 2 ], [ 4, 0, 5, 33, 5, 0, 0, 1, 0, 4 ], [ 0, 1, 2, 4, 79, 2, 2, 1, 1, 1 ], [ 3, 1, 13, 5, 0, 44, 1, 3, 1, 1 ], [ 0, 0, 1, 0, 1, 0, 56, 0, 0, 1 ], [ 2, 0, 1, 0, 0, 0, 1, 79, 0, 0 ], [ 10, 27, 0, 0, 1, 1, 12, 2, 125, 2 ], [ 5, 0, 1, 11, 0, 0, 0, 1, 0, 135 ] ], "eval_loss": 1.390450119972229, "eval_runtime": 15.2795, "eval_samples_per_second": 68.72, "eval_steps_per_second": 4.32, "step": 4400 }, { "epoch": 14.04, "grad_norm": 0.03319675475358963, "learning_rate": 1.2738853503184714e-05, "loss": 0.0788, "step": 4410 }, { "epoch": 14.08, "grad_norm": 0.9733434319496155, "learning_rate": 1.2314225053078557e-05, "loss": 0.1165, "step": 4420 }, { "epoch": 14.11, "grad_norm": 0.15556958317756653, "learning_rate": 1.18895966029724e-05, "loss": 0.0719, "step": 4430 }, { "epoch": 14.14, "grad_norm": 0.46565964818000793, "learning_rate": 1.1464968152866242e-05, "loss": 0.0699, "step": 4440 }, { "epoch": 14.17, "grad_norm": 0.6882303357124329, "learning_rate": 1.1040339702760085e-05, "loss": 0.1229, "step": 4450 }, { "epoch": 14.2, "grad_norm": 0.026163959875702858, "learning_rate": 1.0615711252653929e-05, "loss": 0.0653, "step": 4460 }, { "epoch": 14.24, "grad_norm": 2.7348830699920654, "learning_rate": 1.0191082802547772e-05, "loss": 0.0818, "step": 4470 }, { "epoch": 14.27, "grad_norm": 0.20675204694271088, "learning_rate": 9.766454352441615e-06, "loss": 0.0578, "step": 4480 }, { "epoch": 14.3, "grad_norm": 2.2523086071014404, "learning_rate": 9.341825902335457e-06, "loss": 0.1141, "step": 4490 }, { "epoch": 14.33, "grad_norm": 0.6537735462188721, "learning_rate": 8.9171974522293e-06, "loss": 0.1218, "step": 4500 }, { "epoch": 14.33, "eval_accuracy": 0.7323809523809524, "eval_confusion_matrix": [ [ 68, 3, 8, 4, 0, 1, 3, 4, 7, 2 ], [ 58, 92, 0, 0, 1, 1, 5, 4, 32, 0 ], [ 1, 0, 54, 1, 1, 4, 1, 0, 0, 3 ], [ 4, 0, 5, 33, 5, 0, 0, 0, 0, 5 ], [ 0, 1, 2, 4, 80, 3, 2, 1, 0, 0 ], [ 2, 1, 13, 4, 0, 44, 2, 3, 1, 2 ], [ 0, 0, 1, 0, 1, 0, 56, 0, 0, 1 ], [ 2, 0, 1, 0, 0, 0, 1, 79, 0, 0 ], [ 9, 26, 0, 0, 1, 1, 15, 1, 126, 1 ], [ 4, 0, 1, 10, 0, 0, 0, 1, 0, 137 ] ], "eval_loss": 1.3635234832763672, "eval_runtime": 15.2732, "eval_samples_per_second": 68.748, "eval_steps_per_second": 4.321, "step": 4500 }, { "epoch": 14.36, "grad_norm": 4.527649402618408, "learning_rate": 8.492569002123141e-06, "loss": 0.0613, "step": 4510 }, { "epoch": 14.39, "grad_norm": 1.7878096103668213, "learning_rate": 8.067940552016985e-06, "loss": 0.0759, "step": 4520 }, { "epoch": 14.43, "grad_norm": 3.677371025085449, "learning_rate": 7.643312101910828e-06, "loss": 0.0909, "step": 4530 }, { "epoch": 14.46, "grad_norm": 0.7390831708908081, "learning_rate": 7.218683651804671e-06, "loss": 0.0565, "step": 4540 }, { "epoch": 14.49, "grad_norm": 0.6755375862121582, "learning_rate": 6.794055201698514e-06, "loss": 0.052, "step": 4550 }, { "epoch": 14.52, "grad_norm": 0.20097573101520538, "learning_rate": 6.369426751592357e-06, "loss": 0.0881, "step": 4560 }, { "epoch": 14.55, "grad_norm": 0.3152300715446472, "learning_rate": 5.9447983014862e-06, "loss": 0.0575, "step": 4570 }, { "epoch": 14.59, "grad_norm": 3.195133924484253, "learning_rate": 5.520169851380043e-06, "loss": 0.1314, "step": 4580 }, { "epoch": 14.62, "grad_norm": 3.097222328186035, "learning_rate": 5.095541401273886e-06, "loss": 0.078, "step": 4590 }, { "epoch": 14.65, "grad_norm": 0.018327347934246063, "learning_rate": 4.670912951167728e-06, "loss": 0.0648, "step": 4600 }, { "epoch": 14.65, "eval_accuracy": 0.7342857142857143, "eval_confusion_matrix": [ [ 66, 3, 9, 5, 0, 2, 3, 3, 7, 2 ], [ 52, 95, 0, 0, 2, 1, 6, 4, 33, 0 ], [ 3, 1, 52, 1, 1, 3, 2, 0, 0, 2 ], [ 4, 0, 5, 33, 5, 0, 0, 0, 0, 5 ], [ 0, 2, 1, 3, 83, 1, 2, 1, 0, 0 ], [ 2, 2, 13, 4, 0, 44, 2, 2, 1, 2 ], [ 0, 0, 1, 0, 1, 0, 56, 0, 0, 1 ], [ 2, 0, 2, 0, 0, 0, 1, 78, 0, 0 ], [ 9, 26, 0, 0, 1, 1, 14, 1, 127, 1 ], [ 3, 0, 1, 10, 0, 0, 1, 1, 0, 137 ] ], "eval_loss": 1.3204517364501953, "eval_runtime": 15.2766, "eval_samples_per_second": 68.733, "eval_steps_per_second": 4.32, "step": 4600 }, { "epoch": 14.68, "grad_norm": 0.03679550439119339, "learning_rate": 4.246284501061571e-06, "loss": 0.0597, "step": 4610 }, { "epoch": 14.71, "grad_norm": 3.308004140853882, "learning_rate": 3.821656050955414e-06, "loss": 0.0358, "step": 4620 }, { "epoch": 14.75, "grad_norm": 3.7965080738067627, "learning_rate": 3.397027600849257e-06, "loss": 0.0974, "step": 4630 }, { "epoch": 14.78, "grad_norm": 1.77022385597229, "learning_rate": 2.9723991507431e-06, "loss": 0.1215, "step": 4640 }, { "epoch": 14.81, "grad_norm": 1.951418399810791, "learning_rate": 2.547770700636943e-06, "loss": 0.0692, "step": 4650 }, { "epoch": 14.84, "grad_norm": 2.4297380447387695, "learning_rate": 2.1231422505307854e-06, "loss": 0.0927, "step": 4660 }, { "epoch": 14.87, "grad_norm": 0.13824594020843506, "learning_rate": 1.6985138004246284e-06, "loss": 0.0704, "step": 4670 }, { "epoch": 14.9, "grad_norm": 2.2139551639556885, "learning_rate": 1.2738853503184715e-06, "loss": 0.1461, "step": 4680 }, { "epoch": 14.94, "grad_norm": 0.4319517910480499, "learning_rate": 8.492569002123142e-07, "loss": 0.0511, "step": 4690 }, { "epoch": 14.97, "grad_norm": 0.4486578702926636, "learning_rate": 4.246284501061571e-07, "loss": 0.0917, "step": 4700 }, { "epoch": 14.97, "eval_accuracy": 0.7342857142857143, "eval_confusion_matrix": [ [ 66, 3, 9, 5, 0, 2, 3, 3, 7, 2 ], [ 52, 98, 0, 0, 2, 1, 6, 4, 30, 0 ], [ 3, 1, 52, 1, 1, 3, 2, 0, 0, 2 ], [ 4, 0, 5, 33, 5, 0, 0, 0, 0, 5 ], [ 0, 2, 1, 3, 83, 1, 2, 1, 0, 0 ], [ 2, 2, 13, 4, 0, 44, 2, 2, 1, 2 ], [ 0, 0, 1, 0, 1, 0, 56, 0, 0, 1 ], [ 2, 0, 2, 0, 0, 0, 1, 78, 0, 0 ], [ 9, 28, 0, 0, 1, 1, 15, 1, 124, 1 ], [ 3, 0, 1, 10, 0, 1, 0, 1, 0, 137 ] ], "eval_loss": 1.3111604452133179, "eval_runtime": 15.4688, "eval_samples_per_second": 67.878, "eval_steps_per_second": 4.267, "step": 4700 }, { "epoch": 15.0, "grad_norm": 2.132920980453491, "learning_rate": 0.0, "loss": 0.0933, "step": 4710 }, { "epoch": 15.0, "step": 4710, "total_flos": 1.1677717704563528e+19, "train_loss": 0.19079542797209098, "train_runtime": 4656.9657, "train_samples_per_second": 32.323, "train_steps_per_second": 1.011 } ], "logging_steps": 10, "max_steps": 4710, "num_input_tokens_seen": 0, "num_train_epochs": 15, "save_steps": 100, "total_flos": 1.1677717704563528e+19, "train_batch_size": 32, "trial_name": null, "trial_params": null }