diff --git "a/checkpoint-7550/trainer_state.json" "b/checkpoint-7550/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-7550/trainer_state.json" @@ -0,0 +1,5319 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.94375, + "eval_steps": 500, + "global_step": 7550, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.00125, + "grad_norm": 15.714543342590332, + "learning_rate": 4.994375e-05, + "loss": 2.8924, + "step": 10 + }, + { + "epoch": 0.0025, + "grad_norm": 10.94906234741211, + "learning_rate": 4.988125e-05, + "loss": 2.5952, + "step": 20 + }, + { + "epoch": 0.00375, + "grad_norm": 15.514859199523926, + "learning_rate": 4.981875e-05, + "loss": 2.4666, + "step": 30 + }, + { + "epoch": 0.005, + "grad_norm": 9.053750991821289, + "learning_rate": 4.975625000000001e-05, + "loss": 2.3325, + "step": 40 + }, + { + "epoch": 0.00625, + "grad_norm": 19.168121337890625, + "learning_rate": 4.969375e-05, + "loss": 2.3066, + "step": 50 + }, + { + "epoch": 0.0075, + "grad_norm": 9.255040168762207, + "learning_rate": 4.9631250000000004e-05, + "loss": 2.2425, + "step": 60 + }, + { + "epoch": 0.00875, + "grad_norm": 8.124181747436523, + "learning_rate": 4.956875e-05, + "loss": 2.1237, + "step": 70 + }, + { + "epoch": 0.01, + "grad_norm": 7.121690273284912, + "learning_rate": 4.950625000000001e-05, + "loss": 1.9941, + "step": 80 + }, + { + "epoch": 0.01125, + "grad_norm": 8.191390991210938, + "learning_rate": 4.944375e-05, + "loss": 2.118, + "step": 90 + }, + { + "epoch": 0.0125, + "grad_norm": 7.51083517074585, + "learning_rate": 4.9381250000000004e-05, + "loss": 1.9932, + "step": 100 + }, + { + "epoch": 0.01375, + "grad_norm": 7.706765174865723, + "learning_rate": 4.931875e-05, + "loss": 2.2066, + "step": 110 + }, + { + "epoch": 0.015, + "grad_norm": 6.421011447906494, + "learning_rate": 4.925625e-05, + "loss": 2.0439, + "step": 120 + }, + { + "epoch": 0.01625, + "grad_norm": 17.403257369995117, + "learning_rate": 4.9193750000000007e-05, + "loss": 2.1501, + "step": 130 + }, + { + "epoch": 0.0175, + "grad_norm": 5.682934284210205, + "learning_rate": 4.913125e-05, + "loss": 2.0993, + "step": 140 + }, + { + "epoch": 0.01875, + "grad_norm": 8.931119918823242, + "learning_rate": 4.9068750000000003e-05, + "loss": 2.0383, + "step": 150 + }, + { + "epoch": 0.02, + "grad_norm": 5.6062140464782715, + "learning_rate": 4.900625e-05, + "loss": 1.9334, + "step": 160 + }, + { + "epoch": 0.02125, + "grad_norm": 8.099666595458984, + "learning_rate": 4.894375000000001e-05, + "loss": 1.9423, + "step": 170 + }, + { + "epoch": 0.0225, + "grad_norm": 5.474426746368408, + "learning_rate": 4.888125e-05, + "loss": 2.0548, + "step": 180 + }, + { + "epoch": 0.02375, + "grad_norm": 6.269449710845947, + "learning_rate": 4.8818750000000004e-05, + "loss": 1.9097, + "step": 190 + }, + { + "epoch": 0.025, + "grad_norm": 6.422362804412842, + "learning_rate": 4.875625e-05, + "loss": 1.9114, + "step": 200 + }, + { + "epoch": 0.02625, + "grad_norm": 8.737632751464844, + "learning_rate": 4.869375000000001e-05, + "loss": 2.0777, + "step": 210 + }, + { + "epoch": 0.0275, + "grad_norm": 7.279562950134277, + "learning_rate": 4.863125e-05, + "loss": 1.9173, + "step": 220 + }, + { + "epoch": 0.02875, + "grad_norm": 7.346338272094727, + "learning_rate": 4.8568750000000005e-05, + "loss": 1.7516, + "step": 230 + }, + { + "epoch": 0.03, + "grad_norm": 7.4580888748168945, + "learning_rate": 4.850625e-05, + "loss": 1.9487, + "step": 240 + }, + { + "epoch": 0.03125, + "grad_norm": 6.269708633422852, + "learning_rate": 4.844375e-05, + "loss": 1.8654, + "step": 250 + }, + { + "epoch": 0.0325, + "grad_norm": 5.809817790985107, + "learning_rate": 4.838125e-05, + "loss": 1.9751, + "step": 260 + }, + { + "epoch": 0.03375, + "grad_norm": 11.987732887268066, + "learning_rate": 4.831875e-05, + "loss": 2.0062, + "step": 270 + }, + { + "epoch": 0.035, + "grad_norm": 8.748228073120117, + "learning_rate": 4.8256250000000004e-05, + "loss": 2.1293, + "step": 280 + }, + { + "epoch": 0.03625, + "grad_norm": 5.571599960327148, + "learning_rate": 4.819375e-05, + "loss": 1.9504, + "step": 290 + }, + { + "epoch": 0.0375, + "grad_norm": 5.935739517211914, + "learning_rate": 4.813125e-05, + "loss": 1.8399, + "step": 300 + }, + { + "epoch": 0.03875, + "grad_norm": 5.676118850708008, + "learning_rate": 4.806875e-05, + "loss": 1.9019, + "step": 310 + }, + { + "epoch": 0.04, + "grad_norm": 8.595135688781738, + "learning_rate": 4.8006250000000005e-05, + "loss": 2.0299, + "step": 320 + }, + { + "epoch": 0.04125, + "grad_norm": 5.606544017791748, + "learning_rate": 4.794375e-05, + "loss": 1.8806, + "step": 330 + }, + { + "epoch": 0.0425, + "grad_norm": 7.973094463348389, + "learning_rate": 4.788125e-05, + "loss": 1.7285, + "step": 340 + }, + { + "epoch": 0.04375, + "grad_norm": 9.09721851348877, + "learning_rate": 4.781875e-05, + "loss": 1.9773, + "step": 350 + }, + { + "epoch": 0.045, + "grad_norm": 9.41321849822998, + "learning_rate": 4.7756250000000005e-05, + "loss": 1.9834, + "step": 360 + }, + { + "epoch": 0.04625, + "grad_norm": 4.810961723327637, + "learning_rate": 4.7693750000000004e-05, + "loss": 1.9862, + "step": 370 + }, + { + "epoch": 0.0475, + "grad_norm": 6.283267498016357, + "learning_rate": 4.763125e-05, + "loss": 1.8544, + "step": 380 + }, + { + "epoch": 0.04875, + "grad_norm": 9.017960548400879, + "learning_rate": 4.756875e-05, + "loss": 1.8689, + "step": 390 + }, + { + "epoch": 0.05, + "grad_norm": 6.013952732086182, + "learning_rate": 4.750625e-05, + "loss": 1.798, + "step": 400 + }, + { + "epoch": 0.05125, + "grad_norm": 5.1610026359558105, + "learning_rate": 4.7443750000000005e-05, + "loss": 1.8669, + "step": 410 + }, + { + "epoch": 0.0525, + "grad_norm": 5.481388092041016, + "learning_rate": 4.738125e-05, + "loss": 1.9778, + "step": 420 + }, + { + "epoch": 0.05375, + "grad_norm": 8.239945411682129, + "learning_rate": 4.731875e-05, + "loss": 1.6991, + "step": 430 + }, + { + "epoch": 0.055, + "grad_norm": 5.641376972198486, + "learning_rate": 4.725625e-05, + "loss": 1.7848, + "step": 440 + }, + { + "epoch": 0.05625, + "grad_norm": 7.561056613922119, + "learning_rate": 4.7193750000000005e-05, + "loss": 1.7594, + "step": 450 + }, + { + "epoch": 0.0575, + "grad_norm": 4.920119762420654, + "learning_rate": 4.7131250000000004e-05, + "loss": 1.8387, + "step": 460 + }, + { + "epoch": 0.05875, + "grad_norm": 6.90638542175293, + "learning_rate": 4.706875e-05, + "loss": 1.8461, + "step": 470 + }, + { + "epoch": 0.06, + "grad_norm": 6.640336036682129, + "learning_rate": 4.700625e-05, + "loss": 1.7583, + "step": 480 + }, + { + "epoch": 0.06125, + "grad_norm": 5.126943588256836, + "learning_rate": 4.6943750000000006e-05, + "loss": 1.9002, + "step": 490 + }, + { + "epoch": 0.0625, + "grad_norm": 4.264902591705322, + "learning_rate": 4.6881250000000005e-05, + "loss": 1.9068, + "step": 500 + }, + { + "epoch": 0.06375, + "grad_norm": 7.165338039398193, + "learning_rate": 4.681875e-05, + "loss": 1.7812, + "step": 510 + }, + { + "epoch": 0.065, + "grad_norm": 7.0703277587890625, + "learning_rate": 4.675625e-05, + "loss": 1.698, + "step": 520 + }, + { + "epoch": 0.06625, + "grad_norm": 6.396975040435791, + "learning_rate": 4.669375e-05, + "loss": 1.7182, + "step": 530 + }, + { + "epoch": 0.0675, + "grad_norm": 8.975642204284668, + "learning_rate": 4.6631250000000005e-05, + "loss": 1.8448, + "step": 540 + }, + { + "epoch": 0.06875, + "grad_norm": 5.405190467834473, + "learning_rate": 4.656875e-05, + "loss": 1.7348, + "step": 550 + }, + { + "epoch": 0.07, + "grad_norm": 5.298381328582764, + "learning_rate": 4.650625e-05, + "loss": 1.6221, + "step": 560 + }, + { + "epoch": 0.07125, + "grad_norm": 4.854972839355469, + "learning_rate": 4.644375e-05, + "loss": 1.7367, + "step": 570 + }, + { + "epoch": 0.0725, + "grad_norm": 5.756941795349121, + "learning_rate": 4.6381250000000006e-05, + "loss": 1.801, + "step": 580 + }, + { + "epoch": 0.07375, + "grad_norm": 4.7184600830078125, + "learning_rate": 4.631875e-05, + "loss": 1.6898, + "step": 590 + }, + { + "epoch": 0.075, + "grad_norm": 5.140761852264404, + "learning_rate": 4.625625e-05, + "loss": 1.6612, + "step": 600 + }, + { + "epoch": 0.07625, + "grad_norm": 3.7104735374450684, + "learning_rate": 4.619375e-05, + "loss": 1.624, + "step": 610 + }, + { + "epoch": 0.0775, + "grad_norm": 6.2447896003723145, + "learning_rate": 4.613125000000001e-05, + "loss": 1.7355, + "step": 620 + }, + { + "epoch": 0.07875, + "grad_norm": 9.780672073364258, + "learning_rate": 4.6068750000000005e-05, + "loss": 1.6192, + "step": 630 + }, + { + "epoch": 0.08, + "grad_norm": 5.958286285400391, + "learning_rate": 4.6006250000000004e-05, + "loss": 1.6157, + "step": 640 + }, + { + "epoch": 0.08125, + "grad_norm": 5.786264419555664, + "learning_rate": 4.594375e-05, + "loss": 1.633, + "step": 650 + }, + { + "epoch": 0.0825, + "grad_norm": 4.75607967376709, + "learning_rate": 4.588125e-05, + "loss": 1.8139, + "step": 660 + }, + { + "epoch": 0.08375, + "grad_norm": 4.077645301818848, + "learning_rate": 4.5818750000000006e-05, + "loss": 1.6889, + "step": 670 + }, + { + "epoch": 0.085, + "grad_norm": 5.341221332550049, + "learning_rate": 4.575625e-05, + "loss": 1.7112, + "step": 680 + }, + { + "epoch": 0.08625, + "grad_norm": 5.421123027801514, + "learning_rate": 4.569375e-05, + "loss": 1.729, + "step": 690 + }, + { + "epoch": 0.0875, + "grad_norm": 5.6531829833984375, + "learning_rate": 4.563125e-05, + "loss": 1.7805, + "step": 700 + }, + { + "epoch": 0.08875, + "grad_norm": 4.264986515045166, + "learning_rate": 4.5568750000000006e-05, + "loss": 1.5703, + "step": 710 + }, + { + "epoch": 0.09, + "grad_norm": 5.658288955688477, + "learning_rate": 4.550625e-05, + "loss": 1.8264, + "step": 720 + }, + { + "epoch": 0.09125, + "grad_norm": 5.032812118530273, + "learning_rate": 4.5443750000000003e-05, + "loss": 1.6834, + "step": 730 + }, + { + "epoch": 0.0925, + "grad_norm": 4.175335884094238, + "learning_rate": 4.538125e-05, + "loss": 1.8537, + "step": 740 + }, + { + "epoch": 0.09375, + "grad_norm": 6.916208267211914, + "learning_rate": 4.531875000000001e-05, + "loss": 1.7556, + "step": 750 + }, + { + "epoch": 0.095, + "grad_norm": 6.064156532287598, + "learning_rate": 4.525625e-05, + "loss": 1.7132, + "step": 760 + }, + { + "epoch": 0.09625, + "grad_norm": 6.488204002380371, + "learning_rate": 4.5193750000000004e-05, + "loss": 1.6907, + "step": 770 + }, + { + "epoch": 0.0975, + "grad_norm": 5.419294357299805, + "learning_rate": 4.513125e-05, + "loss": 1.6911, + "step": 780 + }, + { + "epoch": 0.09875, + "grad_norm": 6.069253921508789, + "learning_rate": 4.506875e-05, + "loss": 1.7586, + "step": 790 + }, + { + "epoch": 0.1, + "grad_norm": 5.28116512298584, + "learning_rate": 4.500625e-05, + "loss": 1.7632, + "step": 800 + }, + { + "epoch": 0.10125, + "grad_norm": 4.091380596160889, + "learning_rate": 4.494375e-05, + "loss": 1.6792, + "step": 810 + }, + { + "epoch": 0.1025, + "grad_norm": 5.594090938568115, + "learning_rate": 4.488125e-05, + "loss": 1.8079, + "step": 820 + }, + { + "epoch": 0.10375, + "grad_norm": 5.238066673278809, + "learning_rate": 4.481875e-05, + "loss": 1.7537, + "step": 830 + }, + { + "epoch": 0.105, + "grad_norm": 4.945870399475098, + "learning_rate": 4.475625e-05, + "loss": 1.7236, + "step": 840 + }, + { + "epoch": 0.10625, + "grad_norm": 47.752830505371094, + "learning_rate": 4.469375e-05, + "loss": 1.7715, + "step": 850 + }, + { + "epoch": 0.1075, + "grad_norm": 6.474725246429443, + "learning_rate": 4.4631250000000004e-05, + "loss": 1.6062, + "step": 860 + }, + { + "epoch": 0.10875, + "grad_norm": 5.710610866546631, + "learning_rate": 4.456875e-05, + "loss": 1.6496, + "step": 870 + }, + { + "epoch": 0.11, + "grad_norm": 5.289515495300293, + "learning_rate": 4.450625000000001e-05, + "loss": 1.7847, + "step": 880 + }, + { + "epoch": 0.11125, + "grad_norm": 4.040447235107422, + "learning_rate": 4.444375e-05, + "loss": 1.5642, + "step": 890 + }, + { + "epoch": 0.1125, + "grad_norm": 4.721045970916748, + "learning_rate": 4.4381250000000005e-05, + "loss": 1.6424, + "step": 900 + }, + { + "epoch": 0.11375, + "grad_norm": 4.430590629577637, + "learning_rate": 4.431875e-05, + "loss": 1.5693, + "step": 910 + }, + { + "epoch": 0.115, + "grad_norm": 4.155664443969727, + "learning_rate": 4.425625e-05, + "loss": 1.5653, + "step": 920 + }, + { + "epoch": 0.11625, + "grad_norm": 5.376486778259277, + "learning_rate": 4.419375e-05, + "loss": 1.5292, + "step": 930 + }, + { + "epoch": 0.1175, + "grad_norm": 5.888033390045166, + "learning_rate": 4.413125e-05, + "loss": 1.5894, + "step": 940 + }, + { + "epoch": 0.11875, + "grad_norm": 4.666552543640137, + "learning_rate": 4.4068750000000004e-05, + "loss": 1.6117, + "step": 950 + }, + { + "epoch": 0.12, + "grad_norm": 4.565912246704102, + "learning_rate": 4.400625e-05, + "loss": 1.7492, + "step": 960 + }, + { + "epoch": 0.12125, + "grad_norm": 4.324479579925537, + "learning_rate": 4.394375e-05, + "loss": 1.6294, + "step": 970 + }, + { + "epoch": 0.1225, + "grad_norm": 5.823368072509766, + "learning_rate": 4.388125e-05, + "loss": 1.6953, + "step": 980 + }, + { + "epoch": 0.12375, + "grad_norm": 6.85033655166626, + "learning_rate": 4.3818750000000005e-05, + "loss": 1.5723, + "step": 990 + }, + { + "epoch": 0.125, + "grad_norm": 6.246133327484131, + "learning_rate": 4.375625e-05, + "loss": 1.6042, + "step": 1000 + }, + { + "epoch": 0.12625, + "grad_norm": 4.677844047546387, + "learning_rate": 4.369375e-05, + "loss": 1.6391, + "step": 1010 + }, + { + "epoch": 0.1275, + "grad_norm": 6.899301528930664, + "learning_rate": 4.363125e-05, + "loss": 1.5956, + "step": 1020 + }, + { + "epoch": 0.12875, + "grad_norm": 4.530190944671631, + "learning_rate": 4.3568750000000005e-05, + "loss": 1.537, + "step": 1030 + }, + { + "epoch": 0.13, + "grad_norm": 5.287406921386719, + "learning_rate": 4.3506250000000004e-05, + "loss": 1.7437, + "step": 1040 + }, + { + "epoch": 0.13125, + "grad_norm": 3.828369140625, + "learning_rate": 4.344375e-05, + "loss": 1.6047, + "step": 1050 + }, + { + "epoch": 0.1325, + "grad_norm": 4.649002552032471, + "learning_rate": 4.338125e-05, + "loss": 1.5932, + "step": 1060 + }, + { + "epoch": 0.13375, + "grad_norm": 6.695621967315674, + "learning_rate": 4.331875e-05, + "loss": 1.7681, + "step": 1070 + }, + { + "epoch": 0.135, + "grad_norm": 3.446563243865967, + "learning_rate": 4.3256250000000004e-05, + "loss": 1.622, + "step": 1080 + }, + { + "epoch": 0.13625, + "grad_norm": 4.040626525878906, + "learning_rate": 4.3193749999999996e-05, + "loss": 1.5857, + "step": 1090 + }, + { + "epoch": 0.1375, + "grad_norm": 3.937739372253418, + "learning_rate": 4.313125e-05, + "loss": 1.613, + "step": 1100 + }, + { + "epoch": 0.13875, + "grad_norm": 3.4581360816955566, + "learning_rate": 4.306875e-05, + "loss": 1.5218, + "step": 1110 + }, + { + "epoch": 0.14, + "grad_norm": 4.91287899017334, + "learning_rate": 4.3006250000000005e-05, + "loss": 1.6676, + "step": 1120 + }, + { + "epoch": 0.14125, + "grad_norm": 5.508735179901123, + "learning_rate": 4.2943750000000004e-05, + "loss": 1.673, + "step": 1130 + }, + { + "epoch": 0.1425, + "grad_norm": 6.8148512840271, + "learning_rate": 4.288125e-05, + "loss": 1.6635, + "step": 1140 + }, + { + "epoch": 0.14375, + "grad_norm": 4.404072284698486, + "learning_rate": 4.281875e-05, + "loss": 1.6963, + "step": 1150 + }, + { + "epoch": 0.145, + "grad_norm": 4.8719682693481445, + "learning_rate": 4.2756250000000006e-05, + "loss": 1.554, + "step": 1160 + }, + { + "epoch": 0.14625, + "grad_norm": 4.299533843994141, + "learning_rate": 4.2693750000000004e-05, + "loss": 1.6114, + "step": 1170 + }, + { + "epoch": 0.1475, + "grad_norm": 4.48207426071167, + "learning_rate": 4.263125e-05, + "loss": 1.5773, + "step": 1180 + }, + { + "epoch": 0.14875, + "grad_norm": 3.618351697921753, + "learning_rate": 4.256875e-05, + "loss": 1.4916, + "step": 1190 + }, + { + "epoch": 0.15, + "grad_norm": 4.393692970275879, + "learning_rate": 4.250625e-05, + "loss": 1.6461, + "step": 1200 + }, + { + "epoch": 0.15125, + "grad_norm": 3.9668004512786865, + "learning_rate": 4.2443750000000005e-05, + "loss": 1.5421, + "step": 1210 + }, + { + "epoch": 0.1525, + "grad_norm": 5.683198928833008, + "learning_rate": 4.238125e-05, + "loss": 1.6221, + "step": 1220 + }, + { + "epoch": 0.15375, + "grad_norm": 4.367931365966797, + "learning_rate": 4.231875e-05, + "loss": 1.6046, + "step": 1230 + }, + { + "epoch": 0.155, + "grad_norm": 4.630238056182861, + "learning_rate": 4.225625e-05, + "loss": 1.5636, + "step": 1240 + }, + { + "epoch": 0.15625, + "grad_norm": 3.8488829135894775, + "learning_rate": 4.2193750000000006e-05, + "loss": 1.5471, + "step": 1250 + }, + { + "epoch": 0.1575, + "grad_norm": 3.6925644874572754, + "learning_rate": 4.213125e-05, + "loss": 1.5385, + "step": 1260 + }, + { + "epoch": 0.15875, + "grad_norm": 7.884620189666748, + "learning_rate": 4.206875e-05, + "loss": 1.4549, + "step": 1270 + }, + { + "epoch": 0.16, + "grad_norm": 4.773382186889648, + "learning_rate": 4.200625e-05, + "loss": 1.6672, + "step": 1280 + }, + { + "epoch": 0.16125, + "grad_norm": 3.8848724365234375, + "learning_rate": 4.1943750000000006e-05, + "loss": 1.4247, + "step": 1290 + }, + { + "epoch": 0.1625, + "grad_norm": 5.548094272613525, + "learning_rate": 4.188125e-05, + "loss": 1.817, + "step": 1300 + }, + { + "epoch": 0.16375, + "grad_norm": 5.077624320983887, + "learning_rate": 4.1818750000000003e-05, + "loss": 1.6165, + "step": 1310 + }, + { + "epoch": 0.165, + "grad_norm": 4.995692729949951, + "learning_rate": 4.175625e-05, + "loss": 1.5932, + "step": 1320 + }, + { + "epoch": 0.16625, + "grad_norm": 4.223556041717529, + "learning_rate": 4.169375e-05, + "loss": 1.6204, + "step": 1330 + }, + { + "epoch": 0.1675, + "grad_norm": 5.034037113189697, + "learning_rate": 4.163125e-05, + "loss": 1.5817, + "step": 1340 + }, + { + "epoch": 0.16875, + "grad_norm": 6.067126274108887, + "learning_rate": 4.1568750000000004e-05, + "loss": 1.6194, + "step": 1350 + }, + { + "epoch": 0.17, + "grad_norm": 4.081786155700684, + "learning_rate": 4.150625e-05, + "loss": 1.4929, + "step": 1360 + }, + { + "epoch": 0.17125, + "grad_norm": 4.328601837158203, + "learning_rate": 4.144375e-05, + "loss": 1.6266, + "step": 1370 + }, + { + "epoch": 0.1725, + "grad_norm": 4.224490642547607, + "learning_rate": 4.1381250000000006e-05, + "loss": 1.577, + "step": 1380 + }, + { + "epoch": 0.17375, + "grad_norm": 3.7425456047058105, + "learning_rate": 4.131875e-05, + "loss": 1.4331, + "step": 1390 + }, + { + "epoch": 0.175, + "grad_norm": 4.163187503814697, + "learning_rate": 4.125625e-05, + "loss": 1.6496, + "step": 1400 + }, + { + "epoch": 0.17625, + "grad_norm": 4.357766628265381, + "learning_rate": 4.119375e-05, + "loss": 1.7169, + "step": 1410 + }, + { + "epoch": 0.1775, + "grad_norm": 4.384897232055664, + "learning_rate": 4.113125000000001e-05, + "loss": 1.4617, + "step": 1420 + }, + { + "epoch": 0.17875, + "grad_norm": 4.748656749725342, + "learning_rate": 4.106875e-05, + "loss": 1.5784, + "step": 1430 + }, + { + "epoch": 0.18, + "grad_norm": 4.227325439453125, + "learning_rate": 4.1006250000000004e-05, + "loss": 1.5098, + "step": 1440 + }, + { + "epoch": 0.18125, + "grad_norm": 4.830343723297119, + "learning_rate": 4.094375e-05, + "loss": 1.618, + "step": 1450 + }, + { + "epoch": 0.1825, + "grad_norm": 4.403887748718262, + "learning_rate": 4.088125e-05, + "loss": 1.5866, + "step": 1460 + }, + { + "epoch": 0.18375, + "grad_norm": 5.818870544433594, + "learning_rate": 4.081875e-05, + "loss": 1.4826, + "step": 1470 + }, + { + "epoch": 0.185, + "grad_norm": 6.949367046356201, + "learning_rate": 4.0756250000000005e-05, + "loss": 1.4832, + "step": 1480 + }, + { + "epoch": 0.18625, + "grad_norm": 4.030486583709717, + "learning_rate": 4.069375e-05, + "loss": 1.4703, + "step": 1490 + }, + { + "epoch": 0.1875, + "grad_norm": 4.741464614868164, + "learning_rate": 4.063125e-05, + "loss": 1.7756, + "step": 1500 + }, + { + "epoch": 0.18875, + "grad_norm": 4.840798377990723, + "learning_rate": 4.056875e-05, + "loss": 1.6653, + "step": 1510 + }, + { + "epoch": 0.19, + "grad_norm": 4.910340309143066, + "learning_rate": 4.050625e-05, + "loss": 1.4131, + "step": 1520 + }, + { + "epoch": 0.19125, + "grad_norm": 5.179189205169678, + "learning_rate": 4.0443750000000004e-05, + "loss": 1.5972, + "step": 1530 + }, + { + "epoch": 0.1925, + "grad_norm": 5.435876369476318, + "learning_rate": 4.038125e-05, + "loss": 1.5848, + "step": 1540 + }, + { + "epoch": 0.19375, + "grad_norm": 3.8866443634033203, + "learning_rate": 4.031875e-05, + "loss": 1.5638, + "step": 1550 + }, + { + "epoch": 0.195, + "grad_norm": 4.297860145568848, + "learning_rate": 4.025625e-05, + "loss": 1.4118, + "step": 1560 + }, + { + "epoch": 0.19625, + "grad_norm": 5.706923484802246, + "learning_rate": 4.0193750000000005e-05, + "loss": 1.4316, + "step": 1570 + }, + { + "epoch": 0.1975, + "grad_norm": 4.5453925132751465, + "learning_rate": 4.013125e-05, + "loss": 1.4754, + "step": 1580 + }, + { + "epoch": 0.19875, + "grad_norm": 4.322735786437988, + "learning_rate": 4.006875e-05, + "loss": 1.5779, + "step": 1590 + }, + { + "epoch": 0.2, + "grad_norm": 4.953495979309082, + "learning_rate": 4.000625e-05, + "loss": 1.6211, + "step": 1600 + }, + { + "epoch": 0.20125, + "grad_norm": 3.003465414047241, + "learning_rate": 3.9943750000000005e-05, + "loss": 1.5667, + "step": 1610 + }, + { + "epoch": 0.2025, + "grad_norm": 4.02094030380249, + "learning_rate": 3.9881250000000004e-05, + "loss": 1.5953, + "step": 1620 + }, + { + "epoch": 0.20375, + "grad_norm": 3.9984161853790283, + "learning_rate": 3.981875e-05, + "loss": 1.5122, + "step": 1630 + }, + { + "epoch": 0.205, + "grad_norm": 4.243444442749023, + "learning_rate": 3.975625e-05, + "loss": 1.6517, + "step": 1640 + }, + { + "epoch": 0.20625, + "grad_norm": 4.29213809967041, + "learning_rate": 3.969375e-05, + "loss": 1.5576, + "step": 1650 + }, + { + "epoch": 0.2075, + "grad_norm": 4.561241149902344, + "learning_rate": 3.9631250000000004e-05, + "loss": 1.5213, + "step": 1660 + }, + { + "epoch": 0.20875, + "grad_norm": 4.34321403503418, + "learning_rate": 3.956875e-05, + "loss": 1.4204, + "step": 1670 + }, + { + "epoch": 0.21, + "grad_norm": 4.353539943695068, + "learning_rate": 3.950625e-05, + "loss": 1.5922, + "step": 1680 + }, + { + "epoch": 0.21125, + "grad_norm": 4.75934362411499, + "learning_rate": 3.944375e-05, + "loss": 1.4769, + "step": 1690 + }, + { + "epoch": 0.2125, + "grad_norm": 4.053194999694824, + "learning_rate": 3.9381250000000005e-05, + "loss": 1.5125, + "step": 1700 + }, + { + "epoch": 0.21375, + "grad_norm": 5.373641490936279, + "learning_rate": 3.9318750000000004e-05, + "loss": 1.6501, + "step": 1710 + }, + { + "epoch": 0.215, + "grad_norm": 3.5294227600097656, + "learning_rate": 3.925625e-05, + "loss": 1.5721, + "step": 1720 + }, + { + "epoch": 0.21625, + "grad_norm": 3.870500326156616, + "learning_rate": 3.919375e-05, + "loss": 1.5217, + "step": 1730 + }, + { + "epoch": 0.2175, + "grad_norm": 27.053773880004883, + "learning_rate": 3.9131250000000006e-05, + "loss": 1.5216, + "step": 1740 + }, + { + "epoch": 0.21875, + "grad_norm": 8.008138656616211, + "learning_rate": 3.9068750000000004e-05, + "loss": 1.6043, + "step": 1750 + }, + { + "epoch": 0.22, + "grad_norm": 5.010753631591797, + "learning_rate": 3.900625e-05, + "loss": 1.5854, + "step": 1760 + }, + { + "epoch": 0.22125, + "grad_norm": 5.048765659332275, + "learning_rate": 3.894375e-05, + "loss": 1.5564, + "step": 1770 + }, + { + "epoch": 0.2225, + "grad_norm": 5.92832612991333, + "learning_rate": 3.888125e-05, + "loss": 1.6321, + "step": 1780 + }, + { + "epoch": 0.22375, + "grad_norm": 3.242619037628174, + "learning_rate": 3.8818750000000005e-05, + "loss": 1.5837, + "step": 1790 + }, + { + "epoch": 0.225, + "grad_norm": 6.22261381149292, + "learning_rate": 3.875625e-05, + "loss": 1.5758, + "step": 1800 + }, + { + "epoch": 0.22625, + "grad_norm": 4.630067348480225, + "learning_rate": 3.869375e-05, + "loss": 1.379, + "step": 1810 + }, + { + "epoch": 0.2275, + "grad_norm": 5.385432720184326, + "learning_rate": 3.863125e-05, + "loss": 1.6319, + "step": 1820 + }, + { + "epoch": 0.22875, + "grad_norm": 3.7115695476531982, + "learning_rate": 3.8568750000000006e-05, + "loss": 1.5246, + "step": 1830 + }, + { + "epoch": 0.23, + "grad_norm": 18.826236724853516, + "learning_rate": 3.850625e-05, + "loss": 1.5025, + "step": 1840 + }, + { + "epoch": 0.23125, + "grad_norm": 4.666762828826904, + "learning_rate": 3.844375e-05, + "loss": 1.5511, + "step": 1850 + }, + { + "epoch": 0.2325, + "grad_norm": 4.544824600219727, + "learning_rate": 3.838125e-05, + "loss": 1.5163, + "step": 1860 + }, + { + "epoch": 0.23375, + "grad_norm": 6.902198314666748, + "learning_rate": 3.8318750000000006e-05, + "loss": 1.5313, + "step": 1870 + }, + { + "epoch": 0.235, + "grad_norm": 5.414902687072754, + "learning_rate": 3.8256250000000005e-05, + "loss": 1.4708, + "step": 1880 + }, + { + "epoch": 0.23625, + "grad_norm": 7.254164218902588, + "learning_rate": 3.8193750000000003e-05, + "loss": 1.4522, + "step": 1890 + }, + { + "epoch": 0.2375, + "grad_norm": 2.95312237739563, + "learning_rate": 3.813125e-05, + "loss": 1.3787, + "step": 1900 + }, + { + "epoch": 0.23875, + "grad_norm": 3.5326123237609863, + "learning_rate": 3.806875e-05, + "loss": 1.3401, + "step": 1910 + }, + { + "epoch": 0.24, + "grad_norm": 4.167004585266113, + "learning_rate": 3.8006250000000006e-05, + "loss": 1.4521, + "step": 1920 + }, + { + "epoch": 0.24125, + "grad_norm": 4.5269646644592285, + "learning_rate": 3.794375e-05, + "loss": 1.5217, + "step": 1930 + }, + { + "epoch": 0.2425, + "grad_norm": 3.9108593463897705, + "learning_rate": 3.788125e-05, + "loss": 1.4758, + "step": 1940 + }, + { + "epoch": 0.24375, + "grad_norm": 5.435783386230469, + "learning_rate": 3.781875e-05, + "loss": 1.5579, + "step": 1950 + }, + { + "epoch": 0.245, + "grad_norm": 4.055588722229004, + "learning_rate": 3.7756250000000006e-05, + "loss": 1.4664, + "step": 1960 + }, + { + "epoch": 0.24625, + "grad_norm": 3.8323545455932617, + "learning_rate": 3.769375e-05, + "loss": 1.4167, + "step": 1970 + }, + { + "epoch": 0.2475, + "grad_norm": 3.928833484649658, + "learning_rate": 3.763125e-05, + "loss": 1.538, + "step": 1980 + }, + { + "epoch": 0.24875, + "grad_norm": 5.081177711486816, + "learning_rate": 3.756875e-05, + "loss": 1.5143, + "step": 1990 + }, + { + "epoch": 0.25, + "grad_norm": 4.005138874053955, + "learning_rate": 3.750625000000001e-05, + "loss": 1.4391, + "step": 2000 + }, + { + "epoch": 0.25125, + "grad_norm": 7.569023132324219, + "learning_rate": 3.744375e-05, + "loss": 1.5854, + "step": 2010 + }, + { + "epoch": 0.2525, + "grad_norm": 3.234931230545044, + "learning_rate": 3.7381250000000004e-05, + "loss": 1.5288, + "step": 2020 + }, + { + "epoch": 0.25375, + "grad_norm": 4.21964168548584, + "learning_rate": 3.731875e-05, + "loss": 1.5045, + "step": 2030 + }, + { + "epoch": 0.255, + "grad_norm": 5.102002143859863, + "learning_rate": 3.725625e-05, + "loss": 1.5022, + "step": 2040 + }, + { + "epoch": 0.25625, + "grad_norm": 7.323031902313232, + "learning_rate": 3.719375e-05, + "loss": 1.8256, + "step": 2050 + }, + { + "epoch": 0.2575, + "grad_norm": 3.650108575820923, + "learning_rate": 3.713125e-05, + "loss": 1.3734, + "step": 2060 + }, + { + "epoch": 0.25875, + "grad_norm": 3.9725680351257324, + "learning_rate": 3.706875e-05, + "loss": 1.6534, + "step": 2070 + }, + { + "epoch": 0.26, + "grad_norm": 3.5736091136932373, + "learning_rate": 3.700625e-05, + "loss": 1.5137, + "step": 2080 + }, + { + "epoch": 0.26125, + "grad_norm": 3.700044631958008, + "learning_rate": 3.694375e-05, + "loss": 1.4202, + "step": 2090 + }, + { + "epoch": 0.2625, + "grad_norm": 4.076671600341797, + "learning_rate": 3.688125e-05, + "loss": 1.5527, + "step": 2100 + }, + { + "epoch": 0.26375, + "grad_norm": 4.140468597412109, + "learning_rate": 3.6818750000000004e-05, + "loss": 1.4233, + "step": 2110 + }, + { + "epoch": 0.265, + "grad_norm": 4.703122615814209, + "learning_rate": 3.675625e-05, + "loss": 1.4997, + "step": 2120 + }, + { + "epoch": 0.26625, + "grad_norm": 5.30742883682251, + "learning_rate": 3.669375000000001e-05, + "loss": 1.3517, + "step": 2130 + }, + { + "epoch": 0.2675, + "grad_norm": 6.19927453994751, + "learning_rate": 3.663125e-05, + "loss": 1.4677, + "step": 2140 + }, + { + "epoch": 0.26875, + "grad_norm": 5.471877098083496, + "learning_rate": 3.6568750000000005e-05, + "loss": 1.3718, + "step": 2150 + }, + { + "epoch": 0.27, + "grad_norm": 5.80817985534668, + "learning_rate": 3.650625e-05, + "loss": 1.5756, + "step": 2160 + }, + { + "epoch": 0.27125, + "grad_norm": 4.3927717208862305, + "learning_rate": 3.644375e-05, + "loss": 1.4272, + "step": 2170 + }, + { + "epoch": 0.2725, + "grad_norm": 4.650943279266357, + "learning_rate": 3.638125e-05, + "loss": 1.5826, + "step": 2180 + }, + { + "epoch": 0.27375, + "grad_norm": 2.954941511154175, + "learning_rate": 3.631875e-05, + "loss": 1.4817, + "step": 2190 + }, + { + "epoch": 0.275, + "grad_norm": 3.7205264568328857, + "learning_rate": 3.6256250000000004e-05, + "loss": 1.3662, + "step": 2200 + }, + { + "epoch": 0.27625, + "grad_norm": 4.387423038482666, + "learning_rate": 3.619375e-05, + "loss": 1.4639, + "step": 2210 + }, + { + "epoch": 0.2775, + "grad_norm": 2.9313790798187256, + "learning_rate": 3.613125e-05, + "loss": 1.5223, + "step": 2220 + }, + { + "epoch": 0.27875, + "grad_norm": 2.299884796142578, + "learning_rate": 3.606875e-05, + "loss": 1.4924, + "step": 2230 + }, + { + "epoch": 0.28, + "grad_norm": 6.7828497886657715, + "learning_rate": 3.6006250000000004e-05, + "loss": 1.4188, + "step": 2240 + }, + { + "epoch": 0.28125, + "grad_norm": 3.3752660751342773, + "learning_rate": 3.594375e-05, + "loss": 1.4604, + "step": 2250 + }, + { + "epoch": 0.2825, + "grad_norm": 6.302489757537842, + "learning_rate": 3.588125e-05, + "loss": 1.4211, + "step": 2260 + }, + { + "epoch": 0.28375, + "grad_norm": 26.017749786376953, + "learning_rate": 3.581875e-05, + "loss": 1.415, + "step": 2270 + }, + { + "epoch": 0.285, + "grad_norm": 3.502596139907837, + "learning_rate": 3.5756250000000005e-05, + "loss": 1.4949, + "step": 2280 + }, + { + "epoch": 0.28625, + "grad_norm": 5.614380359649658, + "learning_rate": 3.5693750000000004e-05, + "loss": 1.4836, + "step": 2290 + }, + { + "epoch": 0.2875, + "grad_norm": 3.932626485824585, + "learning_rate": 3.563125e-05, + "loss": 1.3806, + "step": 2300 + }, + { + "epoch": 0.28875, + "grad_norm": 2.99294114112854, + "learning_rate": 3.556875e-05, + "loss": 1.5548, + "step": 2310 + }, + { + "epoch": 0.29, + "grad_norm": 4.608867168426514, + "learning_rate": 3.550625e-05, + "loss": 1.4296, + "step": 2320 + }, + { + "epoch": 0.29125, + "grad_norm": 5.113489627838135, + "learning_rate": 3.5443750000000004e-05, + "loss": 1.3717, + "step": 2330 + }, + { + "epoch": 0.2925, + "grad_norm": 3.7373545169830322, + "learning_rate": 3.5381249999999996e-05, + "loss": 1.4817, + "step": 2340 + }, + { + "epoch": 0.29375, + "grad_norm": 5.348628997802734, + "learning_rate": 3.531875e-05, + "loss": 1.4436, + "step": 2350 + }, + { + "epoch": 0.295, + "grad_norm": 4.982232093811035, + "learning_rate": 3.525625e-05, + "loss": 1.3956, + "step": 2360 + }, + { + "epoch": 0.29625, + "grad_norm": 9.024496078491211, + "learning_rate": 3.5193750000000005e-05, + "loss": 1.4792, + "step": 2370 + }, + { + "epoch": 0.2975, + "grad_norm": 4.083111763000488, + "learning_rate": 3.5131250000000004e-05, + "loss": 1.5715, + "step": 2380 + }, + { + "epoch": 0.29875, + "grad_norm": 3.5770645141601562, + "learning_rate": 3.506875e-05, + "loss": 1.4707, + "step": 2390 + }, + { + "epoch": 0.3, + "grad_norm": 4.641442775726318, + "learning_rate": 3.500625e-05, + "loss": 1.362, + "step": 2400 + }, + { + "epoch": 0.30125, + "grad_norm": 3.524186849594116, + "learning_rate": 3.4943750000000006e-05, + "loss": 1.4686, + "step": 2410 + }, + { + "epoch": 0.3025, + "grad_norm": 4.681451797485352, + "learning_rate": 3.4881250000000004e-05, + "loss": 1.4739, + "step": 2420 + }, + { + "epoch": 0.30375, + "grad_norm": 5.3212785720825195, + "learning_rate": 3.481875e-05, + "loss": 1.5322, + "step": 2430 + }, + { + "epoch": 0.305, + "grad_norm": 4.161744117736816, + "learning_rate": 3.475625e-05, + "loss": 1.3801, + "step": 2440 + }, + { + "epoch": 0.30625, + "grad_norm": 4.7510151863098145, + "learning_rate": 3.469375e-05, + "loss": 1.4092, + "step": 2450 + }, + { + "epoch": 0.3075, + "grad_norm": 3.8327901363372803, + "learning_rate": 3.4631250000000005e-05, + "loss": 1.4072, + "step": 2460 + }, + { + "epoch": 0.30875, + "grad_norm": 3.7004222869873047, + "learning_rate": 3.456875e-05, + "loss": 1.4626, + "step": 2470 + }, + { + "epoch": 0.31, + "grad_norm": 4.66420841217041, + "learning_rate": 3.450625e-05, + "loss": 1.3397, + "step": 2480 + }, + { + "epoch": 0.31125, + "grad_norm": 5.986914157867432, + "learning_rate": 3.444375e-05, + "loss": 1.4815, + "step": 2490 + }, + { + "epoch": 0.3125, + "grad_norm": 3.43625807762146, + "learning_rate": 3.4381250000000006e-05, + "loss": 1.4322, + "step": 2500 + }, + { + "epoch": 0.31375, + "grad_norm": 4.031944274902344, + "learning_rate": 3.431875e-05, + "loss": 1.4035, + "step": 2510 + }, + { + "epoch": 0.315, + "grad_norm": 3.607931613922119, + "learning_rate": 3.425625e-05, + "loss": 1.5213, + "step": 2520 + }, + { + "epoch": 0.31625, + "grad_norm": 5.655627727508545, + "learning_rate": 3.419375e-05, + "loss": 1.4377, + "step": 2530 + }, + { + "epoch": 0.3175, + "grad_norm": 4.682887077331543, + "learning_rate": 3.4131250000000006e-05, + "loss": 1.2967, + "step": 2540 + }, + { + "epoch": 0.31875, + "grad_norm": 4.796265125274658, + "learning_rate": 3.406875e-05, + "loss": 1.3274, + "step": 2550 + }, + { + "epoch": 0.32, + "grad_norm": 3.3428382873535156, + "learning_rate": 3.400625e-05, + "loss": 1.3762, + "step": 2560 + }, + { + "epoch": 0.32125, + "grad_norm": 4.231629371643066, + "learning_rate": 3.394375e-05, + "loss": 1.3922, + "step": 2570 + }, + { + "epoch": 0.3225, + "grad_norm": 3.5596585273742676, + "learning_rate": 3.388125e-05, + "loss": 1.3427, + "step": 2580 + }, + { + "epoch": 0.32375, + "grad_norm": 4.1195783615112305, + "learning_rate": 3.381875e-05, + "loss": 1.362, + "step": 2590 + }, + { + "epoch": 0.325, + "grad_norm": 4.000838279724121, + "learning_rate": 3.375625e-05, + "loss": 1.4245, + "step": 2600 + }, + { + "epoch": 0.32625, + "grad_norm": 5.7205939292907715, + "learning_rate": 3.369375e-05, + "loss": 1.526, + "step": 2610 + }, + { + "epoch": 0.3275, + "grad_norm": 4.729959011077881, + "learning_rate": 3.363125e-05, + "loss": 1.3265, + "step": 2620 + }, + { + "epoch": 0.32875, + "grad_norm": 3.846036434173584, + "learning_rate": 3.3568750000000006e-05, + "loss": 1.3523, + "step": 2630 + }, + { + "epoch": 0.33, + "grad_norm": 3.625514507293701, + "learning_rate": 3.350625e-05, + "loss": 1.3483, + "step": 2640 + }, + { + "epoch": 0.33125, + "grad_norm": 3.985917568206787, + "learning_rate": 3.344375e-05, + "loss": 1.3951, + "step": 2650 + }, + { + "epoch": 0.3325, + "grad_norm": 5.314172267913818, + "learning_rate": 3.338125e-05, + "loss": 1.4334, + "step": 2660 + }, + { + "epoch": 0.33375, + "grad_norm": 5.172106742858887, + "learning_rate": 3.331875000000001e-05, + "loss": 1.333, + "step": 2670 + }, + { + "epoch": 0.335, + "grad_norm": 3.5582571029663086, + "learning_rate": 3.325625e-05, + "loss": 1.4376, + "step": 2680 + }, + { + "epoch": 0.33625, + "grad_norm": 3.68792462348938, + "learning_rate": 3.3193750000000004e-05, + "loss": 1.4401, + "step": 2690 + }, + { + "epoch": 0.3375, + "grad_norm": 3.366680860519409, + "learning_rate": 3.313125e-05, + "loss": 1.3825, + "step": 2700 + }, + { + "epoch": 0.33875, + "grad_norm": 4.318718910217285, + "learning_rate": 3.306875e-05, + "loss": 1.4478, + "step": 2710 + }, + { + "epoch": 0.34, + "grad_norm": 5.707590103149414, + "learning_rate": 3.300625e-05, + "loss": 1.4966, + "step": 2720 + }, + { + "epoch": 0.34125, + "grad_norm": 3.624086380004883, + "learning_rate": 3.294375e-05, + "loss": 1.419, + "step": 2730 + }, + { + "epoch": 0.3425, + "grad_norm": 4.7848711013793945, + "learning_rate": 3.288125e-05, + "loss": 1.29, + "step": 2740 + }, + { + "epoch": 0.34375, + "grad_norm": 4.0258612632751465, + "learning_rate": 3.281875e-05, + "loss": 1.479, + "step": 2750 + }, + { + "epoch": 0.345, + "grad_norm": 4.456843852996826, + "learning_rate": 3.275625e-05, + "loss": 1.4191, + "step": 2760 + }, + { + "epoch": 0.34625, + "grad_norm": 4.327670097351074, + "learning_rate": 3.269375e-05, + "loss": 1.3777, + "step": 2770 + }, + { + "epoch": 0.3475, + "grad_norm": 3.2591614723205566, + "learning_rate": 3.2631250000000004e-05, + "loss": 1.2713, + "step": 2780 + }, + { + "epoch": 0.34875, + "grad_norm": 4.323492527008057, + "learning_rate": 3.256875e-05, + "loss": 1.3162, + "step": 2790 + }, + { + "epoch": 0.35, + "grad_norm": 4.254138946533203, + "learning_rate": 3.250625e-05, + "loss": 1.5309, + "step": 2800 + }, + { + "epoch": 0.35125, + "grad_norm": 3.481466054916382, + "learning_rate": 3.244375e-05, + "loss": 1.6049, + "step": 2810 + }, + { + "epoch": 0.3525, + "grad_norm": 3.48063063621521, + "learning_rate": 3.2381250000000004e-05, + "loss": 1.5601, + "step": 2820 + }, + { + "epoch": 0.35375, + "grad_norm": 3.9832093715667725, + "learning_rate": 3.231875e-05, + "loss": 1.4256, + "step": 2830 + }, + { + "epoch": 0.355, + "grad_norm": 3.842890739440918, + "learning_rate": 3.225625e-05, + "loss": 1.3579, + "step": 2840 + }, + { + "epoch": 0.35625, + "grad_norm": 4.633380889892578, + "learning_rate": 3.219375e-05, + "loss": 1.3881, + "step": 2850 + }, + { + "epoch": 0.3575, + "grad_norm": 6.086498260498047, + "learning_rate": 3.213125e-05, + "loss": 1.4811, + "step": 2860 + }, + { + "epoch": 0.35875, + "grad_norm": 4.031968593597412, + "learning_rate": 3.2068750000000004e-05, + "loss": 1.3418, + "step": 2870 + }, + { + "epoch": 0.36, + "grad_norm": 4.838329315185547, + "learning_rate": 3.200625e-05, + "loss": 1.4378, + "step": 2880 + }, + { + "epoch": 0.36125, + "grad_norm": 3.499248743057251, + "learning_rate": 3.194375e-05, + "loss": 1.2617, + "step": 2890 + }, + { + "epoch": 0.3625, + "grad_norm": 4.68066930770874, + "learning_rate": 3.188125e-05, + "loss": 1.4701, + "step": 2900 + }, + { + "epoch": 0.36375, + "grad_norm": 3.8823728561401367, + "learning_rate": 3.1818750000000004e-05, + "loss": 1.364, + "step": 2910 + }, + { + "epoch": 0.365, + "grad_norm": 3.7089786529541016, + "learning_rate": 3.175625e-05, + "loss": 1.4843, + "step": 2920 + }, + { + "epoch": 0.36625, + "grad_norm": 3.1307108402252197, + "learning_rate": 3.169375e-05, + "loss": 1.3714, + "step": 2930 + }, + { + "epoch": 0.3675, + "grad_norm": 4.351153373718262, + "learning_rate": 3.163125e-05, + "loss": 1.4312, + "step": 2940 + }, + { + "epoch": 0.36875, + "grad_norm": 4.765021800994873, + "learning_rate": 3.1568750000000005e-05, + "loss": 1.6201, + "step": 2950 + }, + { + "epoch": 0.37, + "grad_norm": 3.538285493850708, + "learning_rate": 3.1506250000000003e-05, + "loss": 1.3805, + "step": 2960 + }, + { + "epoch": 0.37125, + "grad_norm": 4.136841773986816, + "learning_rate": 3.144375e-05, + "loss": 1.3558, + "step": 2970 + }, + { + "epoch": 0.3725, + "grad_norm": 4.298130512237549, + "learning_rate": 3.138125e-05, + "loss": 1.5242, + "step": 2980 + }, + { + "epoch": 0.37375, + "grad_norm": 3.6436102390289307, + "learning_rate": 3.131875e-05, + "loss": 1.3199, + "step": 2990 + }, + { + "epoch": 0.375, + "grad_norm": 4.527806758880615, + "learning_rate": 3.1256250000000004e-05, + "loss": 1.531, + "step": 3000 + }, + { + "epoch": 0.37625, + "grad_norm": 5.912485122680664, + "learning_rate": 3.119375e-05, + "loss": 1.444, + "step": 3010 + }, + { + "epoch": 0.3775, + "grad_norm": 5.101160049438477, + "learning_rate": 3.113125e-05, + "loss": 1.5674, + "step": 3020 + }, + { + "epoch": 0.37875, + "grad_norm": 5.113125324249268, + "learning_rate": 3.106875e-05, + "loss": 1.3053, + "step": 3030 + }, + { + "epoch": 0.38, + "grad_norm": 3.990057945251465, + "learning_rate": 3.1006250000000005e-05, + "loss": 1.2181, + "step": 3040 + }, + { + "epoch": 0.38125, + "grad_norm": 6.3468780517578125, + "learning_rate": 3.0943749999999997e-05, + "loss": 1.4149, + "step": 3050 + }, + { + "epoch": 0.3825, + "grad_norm": 4.712606430053711, + "learning_rate": 3.088125e-05, + "loss": 1.4128, + "step": 3060 + }, + { + "epoch": 0.38375, + "grad_norm": 5.313744068145752, + "learning_rate": 3.081875e-05, + "loss": 1.4877, + "step": 3070 + }, + { + "epoch": 0.385, + "grad_norm": 4.46605110168457, + "learning_rate": 3.0756250000000006e-05, + "loss": 1.4314, + "step": 3080 + }, + { + "epoch": 0.38625, + "grad_norm": 3.6377127170562744, + "learning_rate": 3.069375e-05, + "loss": 1.3966, + "step": 3090 + }, + { + "epoch": 0.3875, + "grad_norm": 4.34388542175293, + "learning_rate": 3.063125e-05, + "loss": 1.2802, + "step": 3100 + }, + { + "epoch": 0.38875, + "grad_norm": 11.9617338180542, + "learning_rate": 3.056875e-05, + "loss": 1.4014, + "step": 3110 + }, + { + "epoch": 0.39, + "grad_norm": 3.758890390396118, + "learning_rate": 3.0506250000000003e-05, + "loss": 1.5544, + "step": 3120 + }, + { + "epoch": 0.39125, + "grad_norm": 4.928178310394287, + "learning_rate": 3.0443750000000005e-05, + "loss": 1.4504, + "step": 3130 + }, + { + "epoch": 0.3925, + "grad_norm": 4.8397722244262695, + "learning_rate": 3.038125e-05, + "loss": 1.3976, + "step": 3140 + }, + { + "epoch": 0.39375, + "grad_norm": 4.685599327087402, + "learning_rate": 3.0318750000000002e-05, + "loss": 1.3353, + "step": 3150 + }, + { + "epoch": 0.395, + "grad_norm": 6.802610397338867, + "learning_rate": 3.0256250000000004e-05, + "loss": 1.3951, + "step": 3160 + }, + { + "epoch": 0.39625, + "grad_norm": 5.310746669769287, + "learning_rate": 3.0193750000000005e-05, + "loss": 1.3754, + "step": 3170 + }, + { + "epoch": 0.3975, + "grad_norm": 3.733003616333008, + "learning_rate": 3.013125e-05, + "loss": 1.4712, + "step": 3180 + }, + { + "epoch": 0.39875, + "grad_norm": 3.518083333969116, + "learning_rate": 3.0068750000000002e-05, + "loss": 1.425, + "step": 3190 + }, + { + "epoch": 0.4, + "grad_norm": 3.223477840423584, + "learning_rate": 3.000625e-05, + "loss": 1.4198, + "step": 3200 + }, + { + "epoch": 0.40125, + "grad_norm": 6.2975029945373535, + "learning_rate": 2.9943750000000003e-05, + "loss": 1.4008, + "step": 3210 + }, + { + "epoch": 0.4025, + "grad_norm": 4.495896339416504, + "learning_rate": 2.9881249999999998e-05, + "loss": 1.608, + "step": 3220 + }, + { + "epoch": 0.40375, + "grad_norm": 3.413543701171875, + "learning_rate": 2.981875e-05, + "loss": 1.4011, + "step": 3230 + }, + { + "epoch": 0.405, + "grad_norm": 3.756793260574341, + "learning_rate": 2.975625e-05, + "loss": 1.5263, + "step": 3240 + }, + { + "epoch": 0.40625, + "grad_norm": 3.6322548389434814, + "learning_rate": 2.9693750000000003e-05, + "loss": 1.3671, + "step": 3250 + }, + { + "epoch": 0.4075, + "grad_norm": 3.74729061126709, + "learning_rate": 2.963125e-05, + "loss": 1.3878, + "step": 3260 + }, + { + "epoch": 0.40875, + "grad_norm": 3.154021978378296, + "learning_rate": 2.956875e-05, + "loss": 1.2886, + "step": 3270 + }, + { + "epoch": 0.41, + "grad_norm": 3.127899408340454, + "learning_rate": 2.9506250000000002e-05, + "loss": 1.542, + "step": 3280 + }, + { + "epoch": 0.41125, + "grad_norm": 2.8965258598327637, + "learning_rate": 2.9443750000000004e-05, + "loss": 1.2855, + "step": 3290 + }, + { + "epoch": 0.4125, + "grad_norm": 3.9691522121429443, + "learning_rate": 2.938125e-05, + "loss": 1.331, + "step": 3300 + }, + { + "epoch": 0.41375, + "grad_norm": 4.497001647949219, + "learning_rate": 2.931875e-05, + "loss": 1.2743, + "step": 3310 + }, + { + "epoch": 0.415, + "grad_norm": 4.911508083343506, + "learning_rate": 2.9256250000000003e-05, + "loss": 1.4838, + "step": 3320 + }, + { + "epoch": 0.41625, + "grad_norm": 4.168112754821777, + "learning_rate": 2.919375e-05, + "loss": 1.5264, + "step": 3330 + }, + { + "epoch": 0.4175, + "grad_norm": 4.177130699157715, + "learning_rate": 2.913125e-05, + "loss": 1.4769, + "step": 3340 + }, + { + "epoch": 0.41875, + "grad_norm": 3.3406238555908203, + "learning_rate": 2.9068750000000002e-05, + "loss": 1.3252, + "step": 3350 + }, + { + "epoch": 0.42, + "grad_norm": 3.403542995452881, + "learning_rate": 2.900625e-05, + "loss": 1.3591, + "step": 3360 + }, + { + "epoch": 0.42125, + "grad_norm": 3.7915780544281006, + "learning_rate": 2.8943750000000002e-05, + "loss": 1.4208, + "step": 3370 + }, + { + "epoch": 0.4225, + "grad_norm": 4.730687618255615, + "learning_rate": 2.8881250000000004e-05, + "loss": 1.3171, + "step": 3380 + }, + { + "epoch": 0.42375, + "grad_norm": 3.976198673248291, + "learning_rate": 2.881875e-05, + "loss": 1.3666, + "step": 3390 + }, + { + "epoch": 0.425, + "grad_norm": 3.474154472351074, + "learning_rate": 2.875625e-05, + "loss": 1.5027, + "step": 3400 + }, + { + "epoch": 0.42625, + "grad_norm": 4.456624984741211, + "learning_rate": 2.8693750000000003e-05, + "loss": 1.3966, + "step": 3410 + }, + { + "epoch": 0.4275, + "grad_norm": 3.5991241931915283, + "learning_rate": 2.8631250000000005e-05, + "loss": 1.3464, + "step": 3420 + }, + { + "epoch": 0.42875, + "grad_norm": 3.397467613220215, + "learning_rate": 2.856875e-05, + "loss": 1.3021, + "step": 3430 + }, + { + "epoch": 0.43, + "grad_norm": 4.232719898223877, + "learning_rate": 2.8506250000000002e-05, + "loss": 1.366, + "step": 3440 + }, + { + "epoch": 0.43125, + "grad_norm": 4.262751579284668, + "learning_rate": 2.8443750000000004e-05, + "loss": 1.4335, + "step": 3450 + }, + { + "epoch": 0.4325, + "grad_norm": 4.169719696044922, + "learning_rate": 2.8381250000000002e-05, + "loss": 1.403, + "step": 3460 + }, + { + "epoch": 0.43375, + "grad_norm": 4.9819159507751465, + "learning_rate": 2.831875e-05, + "loss": 1.3418, + "step": 3470 + }, + { + "epoch": 0.435, + "grad_norm": 3.556701421737671, + "learning_rate": 2.8256250000000002e-05, + "loss": 1.3712, + "step": 3480 + }, + { + "epoch": 0.43625, + "grad_norm": 3.9347524642944336, + "learning_rate": 2.819375e-05, + "loss": 1.5704, + "step": 3490 + }, + { + "epoch": 0.4375, + "grad_norm": 3.451732873916626, + "learning_rate": 2.8131250000000003e-05, + "loss": 1.3976, + "step": 3500 + }, + { + "epoch": 0.43875, + "grad_norm": 3.0148160457611084, + "learning_rate": 2.8068749999999998e-05, + "loss": 1.3539, + "step": 3510 + }, + { + "epoch": 0.44, + "grad_norm": 3.8727331161499023, + "learning_rate": 2.800625e-05, + "loss": 1.4348, + "step": 3520 + }, + { + "epoch": 0.44125, + "grad_norm": 4.594605445861816, + "learning_rate": 2.794375e-05, + "loss": 1.2116, + "step": 3530 + }, + { + "epoch": 0.4425, + "grad_norm": 4.683310031890869, + "learning_rate": 2.7881250000000003e-05, + "loss": 1.3442, + "step": 3540 + }, + { + "epoch": 0.44375, + "grad_norm": 3.2116706371307373, + "learning_rate": 2.781875e-05, + "loss": 1.3959, + "step": 3550 + }, + { + "epoch": 0.445, + "grad_norm": 3.98592472076416, + "learning_rate": 2.775625e-05, + "loss": 1.3782, + "step": 3560 + }, + { + "epoch": 0.44625, + "grad_norm": 2.84287691116333, + "learning_rate": 2.7693750000000002e-05, + "loss": 1.2789, + "step": 3570 + }, + { + "epoch": 0.4475, + "grad_norm": 2.849111795425415, + "learning_rate": 2.7631250000000004e-05, + "loss": 1.3003, + "step": 3580 + }, + { + "epoch": 0.44875, + "grad_norm": 3.8393287658691406, + "learning_rate": 2.756875e-05, + "loss": 1.422, + "step": 3590 + }, + { + "epoch": 0.45, + "grad_norm": 3.058866024017334, + "learning_rate": 2.750625e-05, + "loss": 1.4432, + "step": 3600 + }, + { + "epoch": 0.45125, + "grad_norm": 4.536365032196045, + "learning_rate": 2.7443750000000003e-05, + "loss": 1.4127, + "step": 3610 + }, + { + "epoch": 0.4525, + "grad_norm": 3.964500904083252, + "learning_rate": 2.738125e-05, + "loss": 1.4182, + "step": 3620 + }, + { + "epoch": 0.45375, + "grad_norm": 4.288209438323975, + "learning_rate": 2.7318750000000003e-05, + "loss": 1.2563, + "step": 3630 + }, + { + "epoch": 0.455, + "grad_norm": 3.3023056983947754, + "learning_rate": 2.725625e-05, + "loss": 1.3547, + "step": 3640 + }, + { + "epoch": 0.45625, + "grad_norm": 3.554124116897583, + "learning_rate": 2.719375e-05, + "loss": 1.4073, + "step": 3650 + }, + { + "epoch": 0.4575, + "grad_norm": 3.063807725906372, + "learning_rate": 2.7131250000000002e-05, + "loss": 1.4365, + "step": 3660 + }, + { + "epoch": 0.45875, + "grad_norm": 8.845410346984863, + "learning_rate": 2.7068750000000004e-05, + "loss": 1.2819, + "step": 3670 + }, + { + "epoch": 0.46, + "grad_norm": 4.73734712600708, + "learning_rate": 2.700625e-05, + "loss": 1.2654, + "step": 3680 + }, + { + "epoch": 0.46125, + "grad_norm": 3.227581262588501, + "learning_rate": 2.694375e-05, + "loss": 1.4912, + "step": 3690 + }, + { + "epoch": 0.4625, + "grad_norm": 3.327014923095703, + "learning_rate": 2.6881250000000003e-05, + "loss": 1.2713, + "step": 3700 + }, + { + "epoch": 0.46375, + "grad_norm": 4.055096626281738, + "learning_rate": 2.6818750000000005e-05, + "loss": 1.3, + "step": 3710 + }, + { + "epoch": 0.465, + "grad_norm": 3.03869366645813, + "learning_rate": 2.675625e-05, + "loss": 1.213, + "step": 3720 + }, + { + "epoch": 0.46625, + "grad_norm": 2.9507339000701904, + "learning_rate": 2.6693750000000002e-05, + "loss": 1.2247, + "step": 3730 + }, + { + "epoch": 0.4675, + "grad_norm": 3.0396885871887207, + "learning_rate": 2.6631250000000004e-05, + "loss": 1.3832, + "step": 3740 + }, + { + "epoch": 0.46875, + "grad_norm": 3.567950963973999, + "learning_rate": 2.6568750000000002e-05, + "loss": 1.4424, + "step": 3750 + }, + { + "epoch": 0.47, + "grad_norm": 3.8607802391052246, + "learning_rate": 2.650625e-05, + "loss": 1.3011, + "step": 3760 + }, + { + "epoch": 0.47125, + "grad_norm": 4.078023433685303, + "learning_rate": 2.644375e-05, + "loss": 1.4831, + "step": 3770 + }, + { + "epoch": 0.4725, + "grad_norm": 3.342250347137451, + "learning_rate": 2.638125e-05, + "loss": 1.3761, + "step": 3780 + }, + { + "epoch": 0.47375, + "grad_norm": 2.861462354660034, + "learning_rate": 2.6318750000000003e-05, + "loss": 1.3057, + "step": 3790 + }, + { + "epoch": 0.475, + "grad_norm": 4.583399772644043, + "learning_rate": 2.6256249999999998e-05, + "loss": 1.3889, + "step": 3800 + }, + { + "epoch": 0.47625, + "grad_norm": 4.215075969696045, + "learning_rate": 2.619375e-05, + "loss": 1.3721, + "step": 3810 + }, + { + "epoch": 0.4775, + "grad_norm": 4.96607780456543, + "learning_rate": 2.613125e-05, + "loss": 1.2088, + "step": 3820 + }, + { + "epoch": 0.47875, + "grad_norm": 4.239419937133789, + "learning_rate": 2.6068750000000003e-05, + "loss": 1.3942, + "step": 3830 + }, + { + "epoch": 0.48, + "grad_norm": 4.5754289627075195, + "learning_rate": 2.600625e-05, + "loss": 1.3388, + "step": 3840 + }, + { + "epoch": 0.48125, + "grad_norm": 4.335231781005859, + "learning_rate": 2.594375e-05, + "loss": 1.3362, + "step": 3850 + }, + { + "epoch": 0.4825, + "grad_norm": 3.0417494773864746, + "learning_rate": 2.5881250000000002e-05, + "loss": 1.2406, + "step": 3860 + }, + { + "epoch": 0.48375, + "grad_norm": 3.8516695499420166, + "learning_rate": 2.5818750000000004e-05, + "loss": 1.4081, + "step": 3870 + }, + { + "epoch": 0.485, + "grad_norm": 3.9781277179718018, + "learning_rate": 2.5756250000000003e-05, + "loss": 1.3636, + "step": 3880 + }, + { + "epoch": 0.48625, + "grad_norm": 3.7591724395751953, + "learning_rate": 2.569375e-05, + "loss": 1.4053, + "step": 3890 + }, + { + "epoch": 0.4875, + "grad_norm": 4.294608116149902, + "learning_rate": 2.563125e-05, + "loss": 1.4465, + "step": 3900 + }, + { + "epoch": 0.48875, + "grad_norm": 2.709139108657837, + "learning_rate": 2.556875e-05, + "loss": 1.469, + "step": 3910 + }, + { + "epoch": 0.49, + "grad_norm": 4.929773807525635, + "learning_rate": 2.5506250000000003e-05, + "loss": 1.2714, + "step": 3920 + }, + { + "epoch": 0.49125, + "grad_norm": 3.6654865741729736, + "learning_rate": 2.544375e-05, + "loss": 1.4664, + "step": 3930 + }, + { + "epoch": 0.4925, + "grad_norm": 3.2190186977386475, + "learning_rate": 2.538125e-05, + "loss": 1.4203, + "step": 3940 + }, + { + "epoch": 0.49375, + "grad_norm": 6.021998882293701, + "learning_rate": 2.5318750000000002e-05, + "loss": 1.3446, + "step": 3950 + }, + { + "epoch": 0.495, + "grad_norm": 4.783326148986816, + "learning_rate": 2.5256250000000004e-05, + "loss": 1.303, + "step": 3960 + }, + { + "epoch": 0.49625, + "grad_norm": 4.282038688659668, + "learning_rate": 2.519375e-05, + "loss": 1.4116, + "step": 3970 + }, + { + "epoch": 0.4975, + "grad_norm": 3.5954740047454834, + "learning_rate": 2.513125e-05, + "loss": 1.4053, + "step": 3980 + }, + { + "epoch": 0.49875, + "grad_norm": 4.234996795654297, + "learning_rate": 2.5068750000000003e-05, + "loss": 1.3921, + "step": 3990 + }, + { + "epoch": 0.5, + "grad_norm": 4.2734222412109375, + "learning_rate": 2.5006250000000005e-05, + "loss": 1.3818, + "step": 4000 + }, + { + "epoch": 0.50125, + "grad_norm": 2.8631579875946045, + "learning_rate": 2.4943750000000003e-05, + "loss": 1.1995, + "step": 4010 + }, + { + "epoch": 0.5025, + "grad_norm": 2.787076950073242, + "learning_rate": 2.4881250000000002e-05, + "loss": 1.4324, + "step": 4020 + }, + { + "epoch": 0.50375, + "grad_norm": 5.550398826599121, + "learning_rate": 2.481875e-05, + "loss": 1.3689, + "step": 4030 + }, + { + "epoch": 0.505, + "grad_norm": 3.542635679244995, + "learning_rate": 2.475625e-05, + "loss": 1.2885, + "step": 4040 + }, + { + "epoch": 0.50625, + "grad_norm": 6.562772750854492, + "learning_rate": 2.469375e-05, + "loss": 1.3545, + "step": 4050 + }, + { + "epoch": 0.5075, + "grad_norm": 4.4956889152526855, + "learning_rate": 2.463125e-05, + "loss": 1.3232, + "step": 4060 + }, + { + "epoch": 0.50875, + "grad_norm": 5.023864269256592, + "learning_rate": 2.456875e-05, + "loss": 1.2954, + "step": 4070 + }, + { + "epoch": 0.51, + "grad_norm": 3.3570520877838135, + "learning_rate": 2.450625e-05, + "loss": 1.2619, + "step": 4080 + }, + { + "epoch": 0.51125, + "grad_norm": 3.6277055740356445, + "learning_rate": 2.444375e-05, + "loss": 1.4095, + "step": 4090 + }, + { + "epoch": 0.5125, + "grad_norm": 3.271885871887207, + "learning_rate": 2.438125e-05, + "loss": 1.4898, + "step": 4100 + }, + { + "epoch": 0.51375, + "grad_norm": 3.166588306427002, + "learning_rate": 2.431875e-05, + "loss": 1.2367, + "step": 4110 + }, + { + "epoch": 0.515, + "grad_norm": 3.730806589126587, + "learning_rate": 2.425625e-05, + "loss": 1.2928, + "step": 4120 + }, + { + "epoch": 0.51625, + "grad_norm": 3.6622071266174316, + "learning_rate": 2.4193750000000002e-05, + "loss": 1.3213, + "step": 4130 + }, + { + "epoch": 0.5175, + "grad_norm": 3.9172027111053467, + "learning_rate": 2.4131250000000004e-05, + "loss": 1.262, + "step": 4140 + }, + { + "epoch": 0.51875, + "grad_norm": 3.6153948307037354, + "learning_rate": 2.4068750000000002e-05, + "loss": 1.1961, + "step": 4150 + }, + { + "epoch": 0.52, + "grad_norm": 3.5669710636138916, + "learning_rate": 2.400625e-05, + "loss": 1.286, + "step": 4160 + }, + { + "epoch": 0.52125, + "grad_norm": 2.944169044494629, + "learning_rate": 2.394375e-05, + "loss": 1.1684, + "step": 4170 + }, + { + "epoch": 0.5225, + "grad_norm": 5.035433769226074, + "learning_rate": 2.388125e-05, + "loss": 1.4153, + "step": 4180 + }, + { + "epoch": 0.52375, + "grad_norm": 4.437448501586914, + "learning_rate": 2.381875e-05, + "loss": 1.3649, + "step": 4190 + }, + { + "epoch": 0.525, + "grad_norm": 6.091770172119141, + "learning_rate": 2.375625e-05, + "loss": 1.3024, + "step": 4200 + }, + { + "epoch": 0.52625, + "grad_norm": 2.8936169147491455, + "learning_rate": 2.369375e-05, + "loss": 1.3005, + "step": 4210 + }, + { + "epoch": 0.5275, + "grad_norm": 3.831921100616455, + "learning_rate": 2.3631250000000002e-05, + "loss": 1.3541, + "step": 4220 + }, + { + "epoch": 0.52875, + "grad_norm": 3.6951687335968018, + "learning_rate": 2.356875e-05, + "loss": 1.4483, + "step": 4230 + }, + { + "epoch": 0.53, + "grad_norm": 3.1395816802978516, + "learning_rate": 2.3506250000000002e-05, + "loss": 1.368, + "step": 4240 + }, + { + "epoch": 0.53125, + "grad_norm": 3.2226712703704834, + "learning_rate": 2.344375e-05, + "loss": 1.302, + "step": 4250 + }, + { + "epoch": 0.5325, + "grad_norm": 4.4419660568237305, + "learning_rate": 2.3381250000000003e-05, + "loss": 1.3303, + "step": 4260 + }, + { + "epoch": 0.53375, + "grad_norm": 3.2927405834198, + "learning_rate": 2.331875e-05, + "loss": 1.4167, + "step": 4270 + }, + { + "epoch": 0.535, + "grad_norm": 4.213326454162598, + "learning_rate": 2.3256250000000003e-05, + "loss": 1.3116, + "step": 4280 + }, + { + "epoch": 0.53625, + "grad_norm": 3.944117546081543, + "learning_rate": 2.319375e-05, + "loss": 1.3415, + "step": 4290 + }, + { + "epoch": 0.5375, + "grad_norm": 5.39017391204834, + "learning_rate": 2.3131250000000003e-05, + "loss": 1.4055, + "step": 4300 + }, + { + "epoch": 0.53875, + "grad_norm": 5.432854175567627, + "learning_rate": 2.306875e-05, + "loss": 1.3829, + "step": 4310 + }, + { + "epoch": 0.54, + "grad_norm": 5.189695835113525, + "learning_rate": 2.300625e-05, + "loss": 1.3361, + "step": 4320 + }, + { + "epoch": 0.54125, + "grad_norm": 6.880331993103027, + "learning_rate": 2.294375e-05, + "loss": 1.5419, + "step": 4330 + }, + { + "epoch": 0.5425, + "grad_norm": 3.2537145614624023, + "learning_rate": 2.288125e-05, + "loss": 1.2588, + "step": 4340 + }, + { + "epoch": 0.54375, + "grad_norm": 3.7062385082244873, + "learning_rate": 2.281875e-05, + "loss": 1.3066, + "step": 4350 + }, + { + "epoch": 0.545, + "grad_norm": 3.2734427452087402, + "learning_rate": 2.275625e-05, + "loss": 1.2808, + "step": 4360 + }, + { + "epoch": 0.54625, + "grad_norm": 3.4768989086151123, + "learning_rate": 2.269375e-05, + "loss": 1.3208, + "step": 4370 + }, + { + "epoch": 0.5475, + "grad_norm": 4.7144670486450195, + "learning_rate": 2.263125e-05, + "loss": 1.4836, + "step": 4380 + }, + { + "epoch": 0.54875, + "grad_norm": 3.88132905960083, + "learning_rate": 2.2568750000000003e-05, + "loss": 1.3068, + "step": 4390 + }, + { + "epoch": 0.55, + "grad_norm": 3.8812150955200195, + "learning_rate": 2.250625e-05, + "loss": 1.2981, + "step": 4400 + }, + { + "epoch": 0.55125, + "grad_norm": 5.712122440338135, + "learning_rate": 2.2443750000000003e-05, + "loss": 1.2052, + "step": 4410 + }, + { + "epoch": 0.5525, + "grad_norm": 4.217561721801758, + "learning_rate": 2.2381250000000002e-05, + "loss": 1.3009, + "step": 4420 + }, + { + "epoch": 0.55375, + "grad_norm": 3.853726863861084, + "learning_rate": 2.2318750000000004e-05, + "loss": 1.3033, + "step": 4430 + }, + { + "epoch": 0.555, + "grad_norm": 4.639031410217285, + "learning_rate": 2.2256250000000002e-05, + "loss": 1.5494, + "step": 4440 + }, + { + "epoch": 0.55625, + "grad_norm": 3.084345579147339, + "learning_rate": 2.219375e-05, + "loss": 1.3974, + "step": 4450 + }, + { + "epoch": 0.5575, + "grad_norm": 3.7611162662506104, + "learning_rate": 2.213125e-05, + "loss": 1.3137, + "step": 4460 + }, + { + "epoch": 0.55875, + "grad_norm": 3.6951828002929688, + "learning_rate": 2.206875e-05, + "loss": 1.3461, + "step": 4470 + }, + { + "epoch": 0.56, + "grad_norm": 3.5445632934570312, + "learning_rate": 2.200625e-05, + "loss": 1.4106, + "step": 4480 + }, + { + "epoch": 0.56125, + "grad_norm": 3.625247001647949, + "learning_rate": 2.194375e-05, + "loss": 1.231, + "step": 4490 + }, + { + "epoch": 0.5625, + "grad_norm": 4.577424049377441, + "learning_rate": 2.188125e-05, + "loss": 1.2473, + "step": 4500 + }, + { + "epoch": 0.56375, + "grad_norm": 2.9018397331237793, + "learning_rate": 2.1818750000000002e-05, + "loss": 1.1463, + "step": 4510 + }, + { + "epoch": 0.565, + "grad_norm": 3.3070101737976074, + "learning_rate": 2.175625e-05, + "loss": 1.3716, + "step": 4520 + }, + { + "epoch": 0.56625, + "grad_norm": 2.9594733715057373, + "learning_rate": 2.1693750000000002e-05, + "loss": 1.3987, + "step": 4530 + }, + { + "epoch": 0.5675, + "grad_norm": 4.008158206939697, + "learning_rate": 2.163125e-05, + "loss": 1.3694, + "step": 4540 + }, + { + "epoch": 0.56875, + "grad_norm": 3.944383382797241, + "learning_rate": 2.1568750000000002e-05, + "loss": 1.2835, + "step": 4550 + }, + { + "epoch": 0.57, + "grad_norm": 3.6331794261932373, + "learning_rate": 2.150625e-05, + "loss": 1.3091, + "step": 4560 + }, + { + "epoch": 0.57125, + "grad_norm": 4.168713092803955, + "learning_rate": 2.1443750000000003e-05, + "loss": 1.5456, + "step": 4570 + }, + { + "epoch": 0.5725, + "grad_norm": 3.31856369972229, + "learning_rate": 2.138125e-05, + "loss": 1.2628, + "step": 4580 + }, + { + "epoch": 0.57375, + "grad_norm": 5.429656982421875, + "learning_rate": 2.131875e-05, + "loss": 1.1798, + "step": 4590 + }, + { + "epoch": 0.575, + "grad_norm": 5.1332268714904785, + "learning_rate": 2.1256249999999998e-05, + "loss": 1.4308, + "step": 4600 + }, + { + "epoch": 0.57625, + "grad_norm": 4.013575553894043, + "learning_rate": 2.119375e-05, + "loss": 1.1261, + "step": 4610 + }, + { + "epoch": 0.5775, + "grad_norm": 3.2173519134521484, + "learning_rate": 2.113125e-05, + "loss": 1.3259, + "step": 4620 + }, + { + "epoch": 0.57875, + "grad_norm": 4.379116058349609, + "learning_rate": 2.106875e-05, + "loss": 1.2595, + "step": 4630 + }, + { + "epoch": 0.58, + "grad_norm": 3.4463205337524414, + "learning_rate": 2.1006250000000002e-05, + "loss": 1.3184, + "step": 4640 + }, + { + "epoch": 0.58125, + "grad_norm": 4.147000312805176, + "learning_rate": 2.094375e-05, + "loss": 1.3683, + "step": 4650 + }, + { + "epoch": 0.5825, + "grad_norm": 4.752554893493652, + "learning_rate": 2.0881250000000003e-05, + "loss": 1.4316, + "step": 4660 + }, + { + "epoch": 0.58375, + "grad_norm": 3.6568074226379395, + "learning_rate": 2.081875e-05, + "loss": 1.3977, + "step": 4670 + }, + { + "epoch": 0.585, + "grad_norm": 3.955928325653076, + "learning_rate": 2.0756250000000003e-05, + "loss": 1.3277, + "step": 4680 + }, + { + "epoch": 0.58625, + "grad_norm": 3.560964345932007, + "learning_rate": 2.069375e-05, + "loss": 1.4668, + "step": 4690 + }, + { + "epoch": 0.5875, + "grad_norm": 3.2746620178222656, + "learning_rate": 2.0631250000000003e-05, + "loss": 1.3007, + "step": 4700 + }, + { + "epoch": 0.58875, + "grad_norm": 4.622394561767578, + "learning_rate": 2.0568750000000002e-05, + "loss": 1.2535, + "step": 4710 + }, + { + "epoch": 0.59, + "grad_norm": 3.711751699447632, + "learning_rate": 2.050625e-05, + "loss": 1.3777, + "step": 4720 + }, + { + "epoch": 0.59125, + "grad_norm": 4.493631362915039, + "learning_rate": 2.044375e-05, + "loss": 1.3629, + "step": 4730 + }, + { + "epoch": 0.5925, + "grad_norm": 3.8427581787109375, + "learning_rate": 2.038125e-05, + "loss": 1.315, + "step": 4740 + }, + { + "epoch": 0.59375, + "grad_norm": 3.4456775188446045, + "learning_rate": 2.031875e-05, + "loss": 1.2649, + "step": 4750 + }, + { + "epoch": 0.595, + "grad_norm": 4.129278659820557, + "learning_rate": 2.025625e-05, + "loss": 1.1598, + "step": 4760 + }, + { + "epoch": 0.59625, + "grad_norm": 3.5817270278930664, + "learning_rate": 2.019375e-05, + "loss": 1.3781, + "step": 4770 + }, + { + "epoch": 0.5975, + "grad_norm": 3.882089138031006, + "learning_rate": 2.013125e-05, + "loss": 1.2973, + "step": 4780 + }, + { + "epoch": 0.59875, + "grad_norm": 4.201085090637207, + "learning_rate": 2.006875e-05, + "loss": 1.3712, + "step": 4790 + }, + { + "epoch": 0.6, + "grad_norm": 4.771631240844727, + "learning_rate": 2.0006250000000002e-05, + "loss": 1.3552, + "step": 4800 + }, + { + "epoch": 0.60125, + "grad_norm": 3.188880205154419, + "learning_rate": 1.994375e-05, + "loss": 1.3319, + "step": 4810 + }, + { + "epoch": 0.6025, + "grad_norm": 5.565931797027588, + "learning_rate": 1.9881250000000002e-05, + "loss": 1.453, + "step": 4820 + }, + { + "epoch": 0.60375, + "grad_norm": 3.3195409774780273, + "learning_rate": 1.981875e-05, + "loss": 1.3035, + "step": 4830 + }, + { + "epoch": 0.605, + "grad_norm": 4.334782123565674, + "learning_rate": 1.9756250000000002e-05, + "loss": 1.1937, + "step": 4840 + }, + { + "epoch": 0.60625, + "grad_norm": 4.163855075836182, + "learning_rate": 1.969375e-05, + "loss": 1.2671, + "step": 4850 + }, + { + "epoch": 0.6075, + "grad_norm": 4.8429975509643555, + "learning_rate": 1.963125e-05, + "loss": 1.4048, + "step": 4860 + }, + { + "epoch": 0.60875, + "grad_norm": 3.570777177810669, + "learning_rate": 1.9568749999999998e-05, + "loss": 1.3251, + "step": 4870 + }, + { + "epoch": 0.61, + "grad_norm": 4.26336669921875, + "learning_rate": 1.950625e-05, + "loss": 1.3698, + "step": 4880 + }, + { + "epoch": 0.61125, + "grad_norm": 5.224381923675537, + "learning_rate": 1.944375e-05, + "loss": 1.4259, + "step": 4890 + }, + { + "epoch": 0.6125, + "grad_norm": 3.4501774311065674, + "learning_rate": 1.938125e-05, + "loss": 1.3284, + "step": 4900 + }, + { + "epoch": 0.61375, + "grad_norm": 4.366506099700928, + "learning_rate": 1.9318750000000002e-05, + "loss": 1.3818, + "step": 4910 + }, + { + "epoch": 0.615, + "grad_norm": 3.7246909141540527, + "learning_rate": 1.925625e-05, + "loss": 1.2934, + "step": 4920 + }, + { + "epoch": 0.61625, + "grad_norm": 4.3427348136901855, + "learning_rate": 1.9193750000000002e-05, + "loss": 1.377, + "step": 4930 + }, + { + "epoch": 0.6175, + "grad_norm": 3.3694660663604736, + "learning_rate": 1.913125e-05, + "loss": 1.3416, + "step": 4940 + }, + { + "epoch": 0.61875, + "grad_norm": 3.8398380279541016, + "learning_rate": 1.9068750000000003e-05, + "loss": 1.2429, + "step": 4950 + }, + { + "epoch": 0.62, + "grad_norm": 3.3248672485351562, + "learning_rate": 1.900625e-05, + "loss": 1.1935, + "step": 4960 + }, + { + "epoch": 0.62125, + "grad_norm": 4.807949066162109, + "learning_rate": 1.8943750000000003e-05, + "loss": 1.2884, + "step": 4970 + }, + { + "epoch": 0.6225, + "grad_norm": 3.617875814437866, + "learning_rate": 1.888125e-05, + "loss": 1.3156, + "step": 4980 + }, + { + "epoch": 0.62375, + "grad_norm": 3.635308265686035, + "learning_rate": 1.881875e-05, + "loss": 1.2937, + "step": 4990 + }, + { + "epoch": 0.625, + "grad_norm": 4.459296703338623, + "learning_rate": 1.8756250000000002e-05, + "loss": 1.3306, + "step": 5000 + }, + { + "epoch": 0.62625, + "grad_norm": 3.0861570835113525, + "learning_rate": 1.869375e-05, + "loss": 1.3047, + "step": 5010 + }, + { + "epoch": 0.6275, + "grad_norm": 2.831782341003418, + "learning_rate": 1.863125e-05, + "loss": 1.2269, + "step": 5020 + }, + { + "epoch": 0.62875, + "grad_norm": 3.3934264183044434, + "learning_rate": 1.856875e-05, + "loss": 1.3926, + "step": 5030 + }, + { + "epoch": 0.63, + "grad_norm": 3.5797278881073, + "learning_rate": 1.850625e-05, + "loss": 1.3056, + "step": 5040 + }, + { + "epoch": 0.63125, + "grad_norm": 3.5126845836639404, + "learning_rate": 1.844375e-05, + "loss": 1.2345, + "step": 5050 + }, + { + "epoch": 0.6325, + "grad_norm": 3.1061553955078125, + "learning_rate": 1.838125e-05, + "loss": 1.3201, + "step": 5060 + }, + { + "epoch": 0.63375, + "grad_norm": 2.7157793045043945, + "learning_rate": 1.831875e-05, + "loss": 1.2418, + "step": 5070 + }, + { + "epoch": 0.635, + "grad_norm": 5.214048385620117, + "learning_rate": 1.825625e-05, + "loss": 1.4307, + "step": 5080 + }, + { + "epoch": 0.63625, + "grad_norm": 3.1405720710754395, + "learning_rate": 1.8193750000000002e-05, + "loss": 1.1286, + "step": 5090 + }, + { + "epoch": 0.6375, + "grad_norm": 3.6989457607269287, + "learning_rate": 1.813125e-05, + "loss": 1.204, + "step": 5100 + }, + { + "epoch": 0.63875, + "grad_norm": 2.809293031692505, + "learning_rate": 1.8068750000000002e-05, + "loss": 1.2624, + "step": 5110 + }, + { + "epoch": 0.64, + "grad_norm": 3.5766420364379883, + "learning_rate": 1.800625e-05, + "loss": 1.3483, + "step": 5120 + }, + { + "epoch": 0.64125, + "grad_norm": 4.097106456756592, + "learning_rate": 1.7943750000000002e-05, + "loss": 1.4194, + "step": 5130 + }, + { + "epoch": 0.6425, + "grad_norm": 3.991610288619995, + "learning_rate": 1.788125e-05, + "loss": 1.37, + "step": 5140 + }, + { + "epoch": 0.64375, + "grad_norm": 3.1795196533203125, + "learning_rate": 1.781875e-05, + "loss": 1.355, + "step": 5150 + }, + { + "epoch": 0.645, + "grad_norm": 4.34062385559082, + "learning_rate": 1.775625e-05, + "loss": 1.2885, + "step": 5160 + }, + { + "epoch": 0.64625, + "grad_norm": 3.086254835128784, + "learning_rate": 1.769375e-05, + "loss": 1.3419, + "step": 5170 + }, + { + "epoch": 0.6475, + "grad_norm": 2.817337989807129, + "learning_rate": 1.763125e-05, + "loss": 1.2352, + "step": 5180 + }, + { + "epoch": 0.64875, + "grad_norm": 3.538144588470459, + "learning_rate": 1.756875e-05, + "loss": 1.4543, + "step": 5190 + }, + { + "epoch": 0.65, + "grad_norm": 3.363987445831299, + "learning_rate": 1.7506250000000002e-05, + "loss": 1.2738, + "step": 5200 + }, + { + "epoch": 0.65125, + "grad_norm": 3.583441734313965, + "learning_rate": 1.744375e-05, + "loss": 1.3378, + "step": 5210 + }, + { + "epoch": 0.6525, + "grad_norm": 5.197504997253418, + "learning_rate": 1.7381250000000002e-05, + "loss": 1.2725, + "step": 5220 + }, + { + "epoch": 0.65375, + "grad_norm": 3.349055528640747, + "learning_rate": 1.731875e-05, + "loss": 1.4023, + "step": 5230 + }, + { + "epoch": 0.655, + "grad_norm": 3.489291191101074, + "learning_rate": 1.7256250000000003e-05, + "loss": 1.2932, + "step": 5240 + }, + { + "epoch": 0.65625, + "grad_norm": 4.6650872230529785, + "learning_rate": 1.719375e-05, + "loss": 1.3444, + "step": 5250 + }, + { + "epoch": 0.6575, + "grad_norm": 2.737346649169922, + "learning_rate": 1.7131250000000003e-05, + "loss": 1.2761, + "step": 5260 + }, + { + "epoch": 0.65875, + "grad_norm": 2.2421553134918213, + "learning_rate": 1.706875e-05, + "loss": 1.3069, + "step": 5270 + }, + { + "epoch": 0.66, + "grad_norm": 3.4570610523223877, + "learning_rate": 1.700625e-05, + "loss": 1.3267, + "step": 5280 + }, + { + "epoch": 0.66125, + "grad_norm": 3.7983574867248535, + "learning_rate": 1.694375e-05, + "loss": 1.1993, + "step": 5290 + }, + { + "epoch": 0.6625, + "grad_norm": 3.105295181274414, + "learning_rate": 1.688125e-05, + "loss": 1.2937, + "step": 5300 + }, + { + "epoch": 0.66375, + "grad_norm": 3.038071870803833, + "learning_rate": 1.681875e-05, + "loss": 1.1928, + "step": 5310 + }, + { + "epoch": 0.665, + "grad_norm": 3.6429975032806396, + "learning_rate": 1.675625e-05, + "loss": 1.2931, + "step": 5320 + }, + { + "epoch": 0.66625, + "grad_norm": 3.5131030082702637, + "learning_rate": 1.669375e-05, + "loss": 1.3754, + "step": 5330 + }, + { + "epoch": 0.6675, + "grad_norm": 2.8932530879974365, + "learning_rate": 1.663125e-05, + "loss": 1.2501, + "step": 5340 + }, + { + "epoch": 0.66875, + "grad_norm": 3.6388654708862305, + "learning_rate": 1.656875e-05, + "loss": 1.2519, + "step": 5350 + }, + { + "epoch": 0.67, + "grad_norm": 2.79237699508667, + "learning_rate": 1.650625e-05, + "loss": 1.261, + "step": 5360 + }, + { + "epoch": 0.67125, + "grad_norm": 3.383009910583496, + "learning_rate": 1.644375e-05, + "loss": 1.371, + "step": 5370 + }, + { + "epoch": 0.6725, + "grad_norm": 3.6595306396484375, + "learning_rate": 1.6381250000000002e-05, + "loss": 1.2767, + "step": 5380 + }, + { + "epoch": 0.67375, + "grad_norm": 3.0263020992279053, + "learning_rate": 1.6318750000000004e-05, + "loss": 1.1588, + "step": 5390 + }, + { + "epoch": 0.675, + "grad_norm": 4.379304885864258, + "learning_rate": 1.6256250000000002e-05, + "loss": 1.2933, + "step": 5400 + }, + { + "epoch": 0.67625, + "grad_norm": 3.8622045516967773, + "learning_rate": 1.619375e-05, + "loss": 1.2027, + "step": 5410 + }, + { + "epoch": 0.6775, + "grad_norm": 3.141866683959961, + "learning_rate": 1.613125e-05, + "loss": 1.2224, + "step": 5420 + }, + { + "epoch": 0.67875, + "grad_norm": 6.858778476715088, + "learning_rate": 1.606875e-05, + "loss": 1.5491, + "step": 5430 + }, + { + "epoch": 0.68, + "grad_norm": 5.642153263092041, + "learning_rate": 1.600625e-05, + "loss": 1.29, + "step": 5440 + }, + { + "epoch": 0.68125, + "grad_norm": 3.560525894165039, + "learning_rate": 1.594375e-05, + "loss": 1.1829, + "step": 5450 + }, + { + "epoch": 0.6825, + "grad_norm": 2.9443717002868652, + "learning_rate": 1.588125e-05, + "loss": 1.1874, + "step": 5460 + }, + { + "epoch": 0.68375, + "grad_norm": 4.751156330108643, + "learning_rate": 1.581875e-05, + "loss": 1.2543, + "step": 5470 + }, + { + "epoch": 0.685, + "grad_norm": 4.42818546295166, + "learning_rate": 1.575625e-05, + "loss": 1.3246, + "step": 5480 + }, + { + "epoch": 0.68625, + "grad_norm": 3.2748584747314453, + "learning_rate": 1.5693750000000002e-05, + "loss": 1.3284, + "step": 5490 + }, + { + "epoch": 0.6875, + "grad_norm": 3.11030912399292, + "learning_rate": 1.563125e-05, + "loss": 1.374, + "step": 5500 + }, + { + "epoch": 0.68875, + "grad_norm": 3.4232919216156006, + "learning_rate": 1.5568750000000002e-05, + "loss": 1.2341, + "step": 5510 + }, + { + "epoch": 0.69, + "grad_norm": 3.561033248901367, + "learning_rate": 1.550625e-05, + "loss": 1.3163, + "step": 5520 + }, + { + "epoch": 0.69125, + "grad_norm": 3.259941816329956, + "learning_rate": 1.5443750000000003e-05, + "loss": 1.297, + "step": 5530 + }, + { + "epoch": 0.6925, + "grad_norm": 4.584996223449707, + "learning_rate": 1.538125e-05, + "loss": 1.2904, + "step": 5540 + }, + { + "epoch": 0.69375, + "grad_norm": 3.8913450241088867, + "learning_rate": 1.531875e-05, + "loss": 1.1971, + "step": 5550 + }, + { + "epoch": 0.695, + "grad_norm": 2.977058172225952, + "learning_rate": 1.525625e-05, + "loss": 1.2937, + "step": 5560 + }, + { + "epoch": 0.69625, + "grad_norm": 4.8936767578125, + "learning_rate": 1.5193750000000002e-05, + "loss": 1.2619, + "step": 5570 + }, + { + "epoch": 0.6975, + "grad_norm": 3.7824175357818604, + "learning_rate": 1.513125e-05, + "loss": 1.2624, + "step": 5580 + }, + { + "epoch": 0.69875, + "grad_norm": 3.056828498840332, + "learning_rate": 1.506875e-05, + "loss": 1.216, + "step": 5590 + }, + { + "epoch": 0.7, + "grad_norm": 2.8399548530578613, + "learning_rate": 1.5006249999999999e-05, + "loss": 1.4088, + "step": 5600 + }, + { + "epoch": 0.70125, + "grad_norm": 3.484537124633789, + "learning_rate": 1.494375e-05, + "loss": 1.4189, + "step": 5610 + }, + { + "epoch": 0.7025, + "grad_norm": 3.8352763652801514, + "learning_rate": 1.488125e-05, + "loss": 1.2755, + "step": 5620 + }, + { + "epoch": 0.70375, + "grad_norm": 5.0336785316467285, + "learning_rate": 1.4818750000000001e-05, + "loss": 1.2553, + "step": 5630 + }, + { + "epoch": 0.705, + "grad_norm": 3.4178173542022705, + "learning_rate": 1.4756250000000001e-05, + "loss": 1.2476, + "step": 5640 + }, + { + "epoch": 0.70625, + "grad_norm": 2.737694501876831, + "learning_rate": 1.4693750000000001e-05, + "loss": 1.2752, + "step": 5650 + }, + { + "epoch": 0.7075, + "grad_norm": 4.246181964874268, + "learning_rate": 1.4631250000000002e-05, + "loss": 1.2681, + "step": 5660 + }, + { + "epoch": 0.70875, + "grad_norm": 3.4891135692596436, + "learning_rate": 1.456875e-05, + "loss": 1.2727, + "step": 5670 + }, + { + "epoch": 0.71, + "grad_norm": 5.688715934753418, + "learning_rate": 1.4506250000000002e-05, + "loss": 1.2608, + "step": 5680 + }, + { + "epoch": 0.71125, + "grad_norm": 3.696350574493408, + "learning_rate": 1.444375e-05, + "loss": 1.2572, + "step": 5690 + }, + { + "epoch": 0.7125, + "grad_norm": 2.7734687328338623, + "learning_rate": 1.4381250000000002e-05, + "loss": 1.2112, + "step": 5700 + }, + { + "epoch": 0.71375, + "grad_norm": 3.8144760131835938, + "learning_rate": 1.431875e-05, + "loss": 1.1772, + "step": 5710 + }, + { + "epoch": 0.715, + "grad_norm": 3.2144532203674316, + "learning_rate": 1.4256250000000001e-05, + "loss": 1.1894, + "step": 5720 + }, + { + "epoch": 0.71625, + "grad_norm": 3.2612404823303223, + "learning_rate": 1.419375e-05, + "loss": 1.2391, + "step": 5730 + }, + { + "epoch": 0.7175, + "grad_norm": 3.1684000492095947, + "learning_rate": 1.4131250000000001e-05, + "loss": 1.4017, + "step": 5740 + }, + { + "epoch": 0.71875, + "grad_norm": 2.8268094062805176, + "learning_rate": 1.406875e-05, + "loss": 1.2547, + "step": 5750 + }, + { + "epoch": 0.72, + "grad_norm": 3.3832662105560303, + "learning_rate": 1.4006250000000002e-05, + "loss": 1.3259, + "step": 5760 + }, + { + "epoch": 0.72125, + "grad_norm": 4.300711154937744, + "learning_rate": 1.394375e-05, + "loss": 1.2589, + "step": 5770 + }, + { + "epoch": 0.7225, + "grad_norm": 3.825169801712036, + "learning_rate": 1.3881250000000002e-05, + "loss": 1.299, + "step": 5780 + }, + { + "epoch": 0.72375, + "grad_norm": 4.574991703033447, + "learning_rate": 1.381875e-05, + "loss": 1.2543, + "step": 5790 + }, + { + "epoch": 0.725, + "grad_norm": 3.1067469120025635, + "learning_rate": 1.375625e-05, + "loss": 1.2156, + "step": 5800 + }, + { + "epoch": 0.72625, + "grad_norm": 3.175403356552124, + "learning_rate": 1.3693749999999999e-05, + "loss": 1.1028, + "step": 5810 + }, + { + "epoch": 0.7275, + "grad_norm": 3.0259435176849365, + "learning_rate": 1.3631250000000001e-05, + "loss": 1.2328, + "step": 5820 + }, + { + "epoch": 0.72875, + "grad_norm": 3.6122825145721436, + "learning_rate": 1.356875e-05, + "loss": 1.2719, + "step": 5830 + }, + { + "epoch": 0.73, + "grad_norm": 3.8099982738494873, + "learning_rate": 1.3506250000000001e-05, + "loss": 1.2776, + "step": 5840 + }, + { + "epoch": 0.73125, + "grad_norm": 3.41595196723938, + "learning_rate": 1.344375e-05, + "loss": 1.3049, + "step": 5850 + }, + { + "epoch": 0.7325, + "grad_norm": 3.9172563552856445, + "learning_rate": 1.338125e-05, + "loss": 1.259, + "step": 5860 + }, + { + "epoch": 0.73375, + "grad_norm": 3.162015438079834, + "learning_rate": 1.3318749999999998e-05, + "loss": 1.2661, + "step": 5870 + }, + { + "epoch": 0.735, + "grad_norm": 3.8498268127441406, + "learning_rate": 1.325625e-05, + "loss": 1.2737, + "step": 5880 + }, + { + "epoch": 0.73625, + "grad_norm": 3.3922574520111084, + "learning_rate": 1.3193750000000002e-05, + "loss": 1.3626, + "step": 5890 + }, + { + "epoch": 0.7375, + "grad_norm": 3.3294966220855713, + "learning_rate": 1.313125e-05, + "loss": 1.1615, + "step": 5900 + }, + { + "epoch": 0.73875, + "grad_norm": 3.1682517528533936, + "learning_rate": 1.3068750000000003e-05, + "loss": 1.236, + "step": 5910 + }, + { + "epoch": 0.74, + "grad_norm": 4.264817714691162, + "learning_rate": 1.3006250000000001e-05, + "loss": 1.409, + "step": 5920 + }, + { + "epoch": 0.74125, + "grad_norm": 4.208788871765137, + "learning_rate": 1.2943750000000001e-05, + "loss": 1.315, + "step": 5930 + }, + { + "epoch": 0.7425, + "grad_norm": 3.256880044937134, + "learning_rate": 1.288125e-05, + "loss": 1.1969, + "step": 5940 + }, + { + "epoch": 0.74375, + "grad_norm": 3.2720675468444824, + "learning_rate": 1.2818750000000002e-05, + "loss": 1.1622, + "step": 5950 + }, + { + "epoch": 0.745, + "grad_norm": 3.5530762672424316, + "learning_rate": 1.275625e-05, + "loss": 1.1997, + "step": 5960 + }, + { + "epoch": 0.74625, + "grad_norm": 3.067060708999634, + "learning_rate": 1.2693750000000002e-05, + "loss": 1.251, + "step": 5970 + }, + { + "epoch": 0.7475, + "grad_norm": 2.7820942401885986, + "learning_rate": 1.263125e-05, + "loss": 1.1509, + "step": 5980 + }, + { + "epoch": 0.74875, + "grad_norm": 3.6107969284057617, + "learning_rate": 1.256875e-05, + "loss": 1.4085, + "step": 5990 + }, + { + "epoch": 0.75, + "grad_norm": 6.036477565765381, + "learning_rate": 1.250625e-05, + "loss": 1.327, + "step": 6000 + }, + { + "epoch": 0.75125, + "grad_norm": 6.355252742767334, + "learning_rate": 1.2443750000000001e-05, + "loss": 1.3521, + "step": 6010 + }, + { + "epoch": 0.7525, + "grad_norm": 3.9743545055389404, + "learning_rate": 1.2381250000000001e-05, + "loss": 1.2671, + "step": 6020 + }, + { + "epoch": 0.75375, + "grad_norm": 3.6817073822021484, + "learning_rate": 1.2318750000000001e-05, + "loss": 1.2116, + "step": 6030 + }, + { + "epoch": 0.755, + "grad_norm": 3.35996413230896, + "learning_rate": 1.2256250000000001e-05, + "loss": 1.2384, + "step": 6040 + }, + { + "epoch": 0.75625, + "grad_norm": 3.913332939147949, + "learning_rate": 1.2193750000000002e-05, + "loss": 1.1616, + "step": 6050 + }, + { + "epoch": 0.7575, + "grad_norm": 3.327204465866089, + "learning_rate": 1.213125e-05, + "loss": 1.397, + "step": 6060 + }, + { + "epoch": 0.75875, + "grad_norm": 3.389503240585327, + "learning_rate": 1.206875e-05, + "loss": 1.1839, + "step": 6070 + }, + { + "epoch": 0.76, + "grad_norm": 3.358041286468506, + "learning_rate": 1.200625e-05, + "loss": 1.2082, + "step": 6080 + }, + { + "epoch": 0.76125, + "grad_norm": 3.1447696685791016, + "learning_rate": 1.194375e-05, + "loss": 1.1562, + "step": 6090 + }, + { + "epoch": 0.7625, + "grad_norm": 3.44541072845459, + "learning_rate": 1.188125e-05, + "loss": 1.3382, + "step": 6100 + }, + { + "epoch": 0.76375, + "grad_norm": 3.0848042964935303, + "learning_rate": 1.1818750000000001e-05, + "loss": 1.3179, + "step": 6110 + }, + { + "epoch": 0.765, + "grad_norm": 3.651977300643921, + "learning_rate": 1.1756250000000001e-05, + "loss": 1.2659, + "step": 6120 + }, + { + "epoch": 0.76625, + "grad_norm": 3.152700662612915, + "learning_rate": 1.1693750000000001e-05, + "loss": 1.268, + "step": 6130 + }, + { + "epoch": 0.7675, + "grad_norm": 4.158604145050049, + "learning_rate": 1.163125e-05, + "loss": 1.2345, + "step": 6140 + }, + { + "epoch": 0.76875, + "grad_norm": 3.4470276832580566, + "learning_rate": 1.156875e-05, + "loss": 1.2949, + "step": 6150 + }, + { + "epoch": 0.77, + "grad_norm": 3.150104284286499, + "learning_rate": 1.150625e-05, + "loss": 1.2278, + "step": 6160 + }, + { + "epoch": 0.77125, + "grad_norm": 3.8590192794799805, + "learning_rate": 1.144375e-05, + "loss": 1.242, + "step": 6170 + }, + { + "epoch": 0.7725, + "grad_norm": 4.324366092681885, + "learning_rate": 1.138125e-05, + "loss": 1.3226, + "step": 6180 + }, + { + "epoch": 0.77375, + "grad_norm": 2.908385753631592, + "learning_rate": 1.131875e-05, + "loss": 1.2675, + "step": 6190 + }, + { + "epoch": 0.775, + "grad_norm": 3.7354936599731445, + "learning_rate": 1.1256250000000001e-05, + "loss": 1.4641, + "step": 6200 + }, + { + "epoch": 0.77625, + "grad_norm": 3.4952096939086914, + "learning_rate": 1.119375e-05, + "loss": 1.3276, + "step": 6210 + }, + { + "epoch": 0.7775, + "grad_norm": 3.402109384536743, + "learning_rate": 1.113125e-05, + "loss": 1.1241, + "step": 6220 + }, + { + "epoch": 0.77875, + "grad_norm": 3.307467460632324, + "learning_rate": 1.106875e-05, + "loss": 1.3648, + "step": 6230 + }, + { + "epoch": 0.78, + "grad_norm": 3.728865146636963, + "learning_rate": 1.100625e-05, + "loss": 1.1877, + "step": 6240 + }, + { + "epoch": 0.78125, + "grad_norm": 3.682426691055298, + "learning_rate": 1.094375e-05, + "loss": 1.1554, + "step": 6250 + }, + { + "epoch": 0.7825, + "grad_norm": 3.6852643489837646, + "learning_rate": 1.0881250000000002e-05, + "loss": 1.141, + "step": 6260 + }, + { + "epoch": 0.78375, + "grad_norm": 4.276542663574219, + "learning_rate": 1.081875e-05, + "loss": 1.3658, + "step": 6270 + }, + { + "epoch": 0.785, + "grad_norm": 3.071035385131836, + "learning_rate": 1.075625e-05, + "loss": 1.1546, + "step": 6280 + }, + { + "epoch": 0.78625, + "grad_norm": 4.381916522979736, + "learning_rate": 1.069375e-05, + "loss": 1.1487, + "step": 6290 + }, + { + "epoch": 0.7875, + "grad_norm": 3.135784864425659, + "learning_rate": 1.0631250000000001e-05, + "loss": 1.2275, + "step": 6300 + }, + { + "epoch": 0.78875, + "grad_norm": 3.404214859008789, + "learning_rate": 1.0568750000000001e-05, + "loss": 1.1391, + "step": 6310 + }, + { + "epoch": 0.79, + "grad_norm": 4.272989749908447, + "learning_rate": 1.0506250000000001e-05, + "loss": 1.3467, + "step": 6320 + }, + { + "epoch": 0.79125, + "grad_norm": 3.6154932975769043, + "learning_rate": 1.0443750000000001e-05, + "loss": 1.2993, + "step": 6330 + }, + { + "epoch": 0.7925, + "grad_norm": 3.6855859756469727, + "learning_rate": 1.038125e-05, + "loss": 1.1339, + "step": 6340 + }, + { + "epoch": 0.79375, + "grad_norm": 3.8834280967712402, + "learning_rate": 1.031875e-05, + "loss": 1.2207, + "step": 6350 + }, + { + "epoch": 0.795, + "grad_norm": 4.357527256011963, + "learning_rate": 1.025625e-05, + "loss": 1.266, + "step": 6360 + }, + { + "epoch": 0.79625, + "grad_norm": 4.210048198699951, + "learning_rate": 1.019375e-05, + "loss": 1.2289, + "step": 6370 + }, + { + "epoch": 0.7975, + "grad_norm": 5.4694647789001465, + "learning_rate": 1.013125e-05, + "loss": 1.1857, + "step": 6380 + }, + { + "epoch": 0.79875, + "grad_norm": 3.1147310733795166, + "learning_rate": 1.006875e-05, + "loss": 1.3103, + "step": 6390 + }, + { + "epoch": 0.8, + "grad_norm": 3.2928709983825684, + "learning_rate": 1.0006250000000001e-05, + "loss": 1.3642, + "step": 6400 + }, + { + "epoch": 0.80125, + "grad_norm": 3.124969244003296, + "learning_rate": 9.94375e-06, + "loss": 1.2237, + "step": 6410 + }, + { + "epoch": 0.8025, + "grad_norm": 4.003876686096191, + "learning_rate": 9.88125e-06, + "loss": 1.1267, + "step": 6420 + }, + { + "epoch": 0.80375, + "grad_norm": 3.974295139312744, + "learning_rate": 9.81875e-06, + "loss": 1.1949, + "step": 6430 + }, + { + "epoch": 0.805, + "grad_norm": 3.8797054290771484, + "learning_rate": 9.75625e-06, + "loss": 1.2467, + "step": 6440 + }, + { + "epoch": 0.80625, + "grad_norm": 3.5032153129577637, + "learning_rate": 9.69375e-06, + "loss": 1.1921, + "step": 6450 + }, + { + "epoch": 0.8075, + "grad_norm": 3.413506269454956, + "learning_rate": 9.63125e-06, + "loss": 1.2359, + "step": 6460 + }, + { + "epoch": 0.80875, + "grad_norm": 3.894541025161743, + "learning_rate": 9.56875e-06, + "loss": 1.3246, + "step": 6470 + }, + { + "epoch": 0.81, + "grad_norm": 3.6062092781066895, + "learning_rate": 9.50625e-06, + "loss": 1.2462, + "step": 6480 + }, + { + "epoch": 0.81125, + "grad_norm": 3.027904510498047, + "learning_rate": 9.44375e-06, + "loss": 1.1628, + "step": 6490 + }, + { + "epoch": 0.8125, + "grad_norm": 3.1570937633514404, + "learning_rate": 9.38125e-06, + "loss": 1.1969, + "step": 6500 + }, + { + "epoch": 0.81375, + "grad_norm": 2.943943977355957, + "learning_rate": 9.318750000000001e-06, + "loss": 1.2753, + "step": 6510 + }, + { + "epoch": 0.815, + "grad_norm": 3.1280055046081543, + "learning_rate": 9.256250000000001e-06, + "loss": 1.1306, + "step": 6520 + }, + { + "epoch": 0.81625, + "grad_norm": 4.8054399490356445, + "learning_rate": 9.193750000000002e-06, + "loss": 1.4028, + "step": 6530 + }, + { + "epoch": 0.8175, + "grad_norm": 3.8370373249053955, + "learning_rate": 9.131250000000002e-06, + "loss": 1.3408, + "step": 6540 + }, + { + "epoch": 0.81875, + "grad_norm": 3.5859014987945557, + "learning_rate": 9.06875e-06, + "loss": 1.2043, + "step": 6550 + }, + { + "epoch": 0.82, + "grad_norm": 3.415255069732666, + "learning_rate": 9.00625e-06, + "loss": 1.2217, + "step": 6560 + }, + { + "epoch": 0.82125, + "grad_norm": 3.6743905544281006, + "learning_rate": 8.94375e-06, + "loss": 1.1703, + "step": 6570 + }, + { + "epoch": 0.8225, + "grad_norm": 2.7219078540802, + "learning_rate": 8.88125e-06, + "loss": 1.2929, + "step": 6580 + }, + { + "epoch": 0.82375, + "grad_norm": 2.926729679107666, + "learning_rate": 8.818750000000001e-06, + "loss": 1.371, + "step": 6590 + }, + { + "epoch": 0.825, + "grad_norm": 3.4970710277557373, + "learning_rate": 8.756250000000001e-06, + "loss": 1.1985, + "step": 6600 + }, + { + "epoch": 0.82625, + "grad_norm": 3.802090644836426, + "learning_rate": 8.693750000000001e-06, + "loss": 1.2843, + "step": 6610 + }, + { + "epoch": 0.8275, + "grad_norm": 3.0677645206451416, + "learning_rate": 8.63125e-06, + "loss": 1.2791, + "step": 6620 + }, + { + "epoch": 0.82875, + "grad_norm": 3.903545379638672, + "learning_rate": 8.56875e-06, + "loss": 1.1844, + "step": 6630 + }, + { + "epoch": 0.83, + "grad_norm": 3.0674688816070557, + "learning_rate": 8.50625e-06, + "loss": 1.2111, + "step": 6640 + }, + { + "epoch": 0.83125, + "grad_norm": 3.7008626461029053, + "learning_rate": 8.44375e-06, + "loss": 1.2203, + "step": 6650 + }, + { + "epoch": 0.8325, + "grad_norm": 4.41727352142334, + "learning_rate": 8.38125e-06, + "loss": 1.3227, + "step": 6660 + }, + { + "epoch": 0.83375, + "grad_norm": 3.456376075744629, + "learning_rate": 8.31875e-06, + "loss": 1.2385, + "step": 6670 + }, + { + "epoch": 0.835, + "grad_norm": 4.11112117767334, + "learning_rate": 8.25625e-06, + "loss": 1.3041, + "step": 6680 + }, + { + "epoch": 0.83625, + "grad_norm": 2.9469385147094727, + "learning_rate": 8.19375e-06, + "loss": 1.2004, + "step": 6690 + }, + { + "epoch": 0.8375, + "grad_norm": 3.8115038871765137, + "learning_rate": 8.13125e-06, + "loss": 1.2884, + "step": 6700 + }, + { + "epoch": 0.83875, + "grad_norm": 3.3773956298828125, + "learning_rate": 8.06875e-06, + "loss": 1.0463, + "step": 6710 + }, + { + "epoch": 0.84, + "grad_norm": 3.9320790767669678, + "learning_rate": 8.00625e-06, + "loss": 1.2637, + "step": 6720 + }, + { + "epoch": 0.84125, + "grad_norm": 3.310523271560669, + "learning_rate": 7.94375e-06, + "loss": 1.3186, + "step": 6730 + }, + { + "epoch": 0.8425, + "grad_norm": 4.7285637855529785, + "learning_rate": 7.88125e-06, + "loss": 1.0737, + "step": 6740 + }, + { + "epoch": 0.84375, + "grad_norm": 4.357003688812256, + "learning_rate": 7.81875e-06, + "loss": 1.2484, + "step": 6750 + }, + { + "epoch": 0.845, + "grad_norm": 6.129393100738525, + "learning_rate": 7.75625e-06, + "loss": 1.2047, + "step": 6760 + }, + { + "epoch": 0.84625, + "grad_norm": 3.644521713256836, + "learning_rate": 7.69375e-06, + "loss": 1.2953, + "step": 6770 + }, + { + "epoch": 0.8475, + "grad_norm": 3.131911516189575, + "learning_rate": 7.63125e-06, + "loss": 1.167, + "step": 6780 + }, + { + "epoch": 0.84875, + "grad_norm": 3.4802305698394775, + "learning_rate": 7.568750000000001e-06, + "loss": 1.3353, + "step": 6790 + }, + { + "epoch": 0.85, + "grad_norm": 4.78393030166626, + "learning_rate": 7.506250000000001e-06, + "loss": 1.2363, + "step": 6800 + }, + { + "epoch": 0.85125, + "grad_norm": 3.6145455837249756, + "learning_rate": 7.4437500000000005e-06, + "loss": 1.1944, + "step": 6810 + }, + { + "epoch": 0.8525, + "grad_norm": 2.614313840866089, + "learning_rate": 7.381250000000001e-06, + "loss": 1.2045, + "step": 6820 + }, + { + "epoch": 0.85375, + "grad_norm": 2.96185564994812, + "learning_rate": 7.318750000000001e-06, + "loss": 1.103, + "step": 6830 + }, + { + "epoch": 0.855, + "grad_norm": 6.062429428100586, + "learning_rate": 7.25625e-06, + "loss": 1.2446, + "step": 6840 + }, + { + "epoch": 0.85625, + "grad_norm": 3.7602720260620117, + "learning_rate": 7.19375e-06, + "loss": 1.2243, + "step": 6850 + }, + { + "epoch": 0.8575, + "grad_norm": 3.405805826187134, + "learning_rate": 7.1312500000000005e-06, + "loss": 1.1315, + "step": 6860 + }, + { + "epoch": 0.85875, + "grad_norm": 3.2969017028808594, + "learning_rate": 7.068750000000001e-06, + "loss": 1.1796, + "step": 6870 + }, + { + "epoch": 0.86, + "grad_norm": 4.001396179199219, + "learning_rate": 7.00625e-06, + "loss": 1.3448, + "step": 6880 + }, + { + "epoch": 0.86125, + "grad_norm": 4.414263725280762, + "learning_rate": 6.94375e-06, + "loss": 1.2219, + "step": 6890 + }, + { + "epoch": 0.8625, + "grad_norm": 3.5935354232788086, + "learning_rate": 6.88125e-06, + "loss": 1.1148, + "step": 6900 + }, + { + "epoch": 0.86375, + "grad_norm": 3.3420941829681396, + "learning_rate": 6.81875e-06, + "loss": 1.2654, + "step": 6910 + }, + { + "epoch": 0.865, + "grad_norm": 4.038907527923584, + "learning_rate": 6.75625e-06, + "loss": 1.25, + "step": 6920 + }, + { + "epoch": 0.86625, + "grad_norm": 4.007872581481934, + "learning_rate": 6.69375e-06, + "loss": 1.3026, + "step": 6930 + }, + { + "epoch": 0.8675, + "grad_norm": 3.9287617206573486, + "learning_rate": 6.63125e-06, + "loss": 1.1596, + "step": 6940 + }, + { + "epoch": 0.86875, + "grad_norm": 2.911954402923584, + "learning_rate": 6.56875e-06, + "loss": 1.281, + "step": 6950 + }, + { + "epoch": 0.87, + "grad_norm": 3.543391704559326, + "learning_rate": 6.50625e-06, + "loss": 1.268, + "step": 6960 + }, + { + "epoch": 0.87125, + "grad_norm": 2.627988815307617, + "learning_rate": 6.44375e-06, + "loss": 1.2706, + "step": 6970 + }, + { + "epoch": 0.8725, + "grad_norm": 3.9405062198638916, + "learning_rate": 6.38125e-06, + "loss": 1.2318, + "step": 6980 + }, + { + "epoch": 0.87375, + "grad_norm": 5.287662506103516, + "learning_rate": 6.3187499999999994e-06, + "loss": 1.3652, + "step": 6990 + }, + { + "epoch": 0.875, + "grad_norm": 3.4925477504730225, + "learning_rate": 6.25625e-06, + "loss": 1.3112, + "step": 7000 + }, + { + "epoch": 0.87625, + "grad_norm": 4.140984058380127, + "learning_rate": 6.193750000000001e-06, + "loss": 1.1956, + "step": 7010 + }, + { + "epoch": 0.8775, + "grad_norm": 5.385605335235596, + "learning_rate": 6.13125e-06, + "loss": 1.2959, + "step": 7020 + }, + { + "epoch": 0.87875, + "grad_norm": 3.0660688877105713, + "learning_rate": 6.06875e-06, + "loss": 1.2465, + "step": 7030 + }, + { + "epoch": 0.88, + "grad_norm": 6.002776622772217, + "learning_rate": 6.00625e-06, + "loss": 1.4034, + "step": 7040 + }, + { + "epoch": 0.88125, + "grad_norm": 3.455930471420288, + "learning_rate": 5.94375e-06, + "loss": 1.2638, + "step": 7050 + }, + { + "epoch": 0.8825, + "grad_norm": 4.8663330078125, + "learning_rate": 5.88125e-06, + "loss": 1.241, + "step": 7060 + }, + { + "epoch": 0.88375, + "grad_norm": 3.752796173095703, + "learning_rate": 5.818750000000001e-06, + "loss": 1.2547, + "step": 7070 + }, + { + "epoch": 0.885, + "grad_norm": 3.7783405780792236, + "learning_rate": 5.75625e-06, + "loss": 1.2531, + "step": 7080 + }, + { + "epoch": 0.88625, + "grad_norm": 4.519382953643799, + "learning_rate": 5.69375e-06, + "loss": 1.2299, + "step": 7090 + }, + { + "epoch": 0.8875, + "grad_norm": 3.280031442642212, + "learning_rate": 5.6312500000000005e-06, + "loss": 1.1249, + "step": 7100 + }, + { + "epoch": 0.88875, + "grad_norm": 3.4675002098083496, + "learning_rate": 5.568750000000001e-06, + "loss": 1.1638, + "step": 7110 + }, + { + "epoch": 0.89, + "grad_norm": 3.768967390060425, + "learning_rate": 5.50625e-06, + "loss": 1.3985, + "step": 7120 + }, + { + "epoch": 0.89125, + "grad_norm": 4.724802017211914, + "learning_rate": 5.44375e-06, + "loss": 1.2324, + "step": 7130 + }, + { + "epoch": 0.8925, + "grad_norm": 4.179074287414551, + "learning_rate": 5.38125e-06, + "loss": 1.1886, + "step": 7140 + }, + { + "epoch": 0.89375, + "grad_norm": 4.108990669250488, + "learning_rate": 5.3187500000000005e-06, + "loss": 1.4765, + "step": 7150 + }, + { + "epoch": 0.895, + "grad_norm": 4.176460266113281, + "learning_rate": 5.25625e-06, + "loss": 1.3531, + "step": 7160 + }, + { + "epoch": 0.89625, + "grad_norm": 3.8916871547698975, + "learning_rate": 5.19375e-06, + "loss": 1.1835, + "step": 7170 + }, + { + "epoch": 0.8975, + "grad_norm": 3.0018982887268066, + "learning_rate": 5.13125e-06, + "loss": 1.2182, + "step": 7180 + }, + { + "epoch": 0.89875, + "grad_norm": 2.873230218887329, + "learning_rate": 5.06875e-06, + "loss": 1.2015, + "step": 7190 + }, + { + "epoch": 0.9, + "grad_norm": 3.587171792984009, + "learning_rate": 5.0062500000000006e-06, + "loss": 1.1995, + "step": 7200 + }, + { + "epoch": 0.90125, + "grad_norm": 3.585000514984131, + "learning_rate": 4.943750000000001e-06, + "loss": 1.2743, + "step": 7210 + }, + { + "epoch": 0.9025, + "grad_norm": 3.029139757156372, + "learning_rate": 4.88125e-06, + "loss": 1.2592, + "step": 7220 + }, + { + "epoch": 0.90375, + "grad_norm": 3.077986240386963, + "learning_rate": 4.81875e-06, + "loss": 1.1442, + "step": 7230 + }, + { + "epoch": 0.905, + "grad_norm": 2.580195426940918, + "learning_rate": 4.75625e-06, + "loss": 1.1531, + "step": 7240 + }, + { + "epoch": 0.90625, + "grad_norm": 4.1036272048950195, + "learning_rate": 4.693750000000001e-06, + "loss": 1.3263, + "step": 7250 + }, + { + "epoch": 0.9075, + "grad_norm": 2.9886510372161865, + "learning_rate": 4.63125e-06, + "loss": 1.2372, + "step": 7260 + }, + { + "epoch": 0.90875, + "grad_norm": 3.5167458057403564, + "learning_rate": 4.56875e-06, + "loss": 1.3199, + "step": 7270 + }, + { + "epoch": 0.91, + "grad_norm": 2.5231704711914062, + "learning_rate": 4.50625e-06, + "loss": 1.177, + "step": 7280 + }, + { + "epoch": 0.91125, + "grad_norm": 3.786348581314087, + "learning_rate": 4.44375e-06, + "loss": 1.1602, + "step": 7290 + }, + { + "epoch": 0.9125, + "grad_norm": 3.3437860012054443, + "learning_rate": 4.38125e-06, + "loss": 1.266, + "step": 7300 + }, + { + "epoch": 0.91375, + "grad_norm": 3.798862934112549, + "learning_rate": 4.31875e-06, + "loss": 1.1616, + "step": 7310 + }, + { + "epoch": 0.915, + "grad_norm": 3.9102814197540283, + "learning_rate": 4.25625e-06, + "loss": 1.1375, + "step": 7320 + }, + { + "epoch": 0.91625, + "grad_norm": 3.7560813426971436, + "learning_rate": 4.19375e-06, + "loss": 1.1178, + "step": 7330 + }, + { + "epoch": 0.9175, + "grad_norm": 3.210345983505249, + "learning_rate": 4.1312500000000005e-06, + "loss": 1.0262, + "step": 7340 + }, + { + "epoch": 0.91875, + "grad_norm": 3.9245500564575195, + "learning_rate": 4.068750000000001e-06, + "loss": 1.2043, + "step": 7350 + }, + { + "epoch": 0.92, + "grad_norm": 3.6340880393981934, + "learning_rate": 4.00625e-06, + "loss": 1.2074, + "step": 7360 + }, + { + "epoch": 0.92125, + "grad_norm": 2.729948043823242, + "learning_rate": 3.94375e-06, + "loss": 1.2154, + "step": 7370 + }, + { + "epoch": 0.9225, + "grad_norm": 5.572306156158447, + "learning_rate": 3.88125e-06, + "loss": 1.2146, + "step": 7380 + }, + { + "epoch": 0.92375, + "grad_norm": 3.3658738136291504, + "learning_rate": 3.8187500000000005e-06, + "loss": 1.2932, + "step": 7390 + }, + { + "epoch": 0.925, + "grad_norm": 3.831812620162964, + "learning_rate": 3.7562500000000002e-06, + "loss": 1.276, + "step": 7400 + }, + { + "epoch": 0.92625, + "grad_norm": 2.969461441040039, + "learning_rate": 3.69375e-06, + "loss": 1.1595, + "step": 7410 + }, + { + "epoch": 0.9275, + "grad_norm": 4.540526390075684, + "learning_rate": 3.6312499999999997e-06, + "loss": 1.2967, + "step": 7420 + }, + { + "epoch": 0.92875, + "grad_norm": 4.625833988189697, + "learning_rate": 3.56875e-06, + "loss": 1.1621, + "step": 7430 + }, + { + "epoch": 0.93, + "grad_norm": 3.144590139389038, + "learning_rate": 3.5062500000000005e-06, + "loss": 1.1817, + "step": 7440 + }, + { + "epoch": 0.93125, + "grad_norm": 4.031451225280762, + "learning_rate": 3.4437500000000003e-06, + "loss": 1.3139, + "step": 7450 + }, + { + "epoch": 0.9325, + "grad_norm": 3.656533718109131, + "learning_rate": 3.3812500000000004e-06, + "loss": 1.2257, + "step": 7460 + }, + { + "epoch": 0.93375, + "grad_norm": 3.497356653213501, + "learning_rate": 3.31875e-06, + "loss": 1.2571, + "step": 7470 + }, + { + "epoch": 0.935, + "grad_norm": 3.372255802154541, + "learning_rate": 3.2562500000000004e-06, + "loss": 1.2038, + "step": 7480 + }, + { + "epoch": 0.93625, + "grad_norm": 3.349648952484131, + "learning_rate": 3.19375e-06, + "loss": 1.2484, + "step": 7490 + }, + { + "epoch": 0.9375, + "grad_norm": 3.791111469268799, + "learning_rate": 3.1312500000000003e-06, + "loss": 1.2193, + "step": 7500 + }, + { + "epoch": 0.93875, + "grad_norm": 2.6422860622406006, + "learning_rate": 3.06875e-06, + "loss": 1.1635, + "step": 7510 + }, + { + "epoch": 0.94, + "grad_norm": 4.382972240447998, + "learning_rate": 3.0062500000000002e-06, + "loss": 1.2232, + "step": 7520 + }, + { + "epoch": 0.94125, + "grad_norm": 3.4872641563415527, + "learning_rate": 2.94375e-06, + "loss": 1.1796, + "step": 7530 + }, + { + "epoch": 0.9425, + "grad_norm": 3.1682002544403076, + "learning_rate": 2.88125e-06, + "loss": 1.2348, + "step": 7540 + }, + { + "epoch": 0.94375, + "grad_norm": 3.578993558883667, + "learning_rate": 2.8187500000000003e-06, + "loss": 1.2451, + "step": 7550 + } + ], + "logging_steps": 10, + "max_steps": 8000, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 50, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1.1593221075369984e+18, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}