| { | |
| "best_metric": 0.03181542828679085, | |
| "best_model_checkpoint": "saves/psy-course/Ministral-8B-Instruct-2410/train/fold2/checkpoint-1350", | |
| "epoch": 4.994228549442093, | |
| "eval_steps": 50, | |
| "global_step": 3245, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.015390534821085032, | |
| "grad_norm": 2.714885711669922, | |
| "learning_rate": 3.0769230769230774e-06, | |
| "loss": 1.3364, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.030781069642170065, | |
| "grad_norm": 2.8060686588287354, | |
| "learning_rate": 6.153846153846155e-06, | |
| "loss": 1.2705, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.0461716044632551, | |
| "grad_norm": 3.170583486557007, | |
| "learning_rate": 9.230769230769232e-06, | |
| "loss": 1.0348, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.06156213928434013, | |
| "grad_norm": 2.260378122329712, | |
| "learning_rate": 1.230769230769231e-05, | |
| "loss": 0.555, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.07695267410542517, | |
| "grad_norm": 1.1415810585021973, | |
| "learning_rate": 1.5384615384615387e-05, | |
| "loss": 0.2583, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.07695267410542517, | |
| "eval_loss": 0.24182522296905518, | |
| "eval_runtime": 181.7987, | |
| "eval_samples_per_second": 6.359, | |
| "eval_steps_per_second": 6.359, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.0923432089265102, | |
| "grad_norm": 1.5008163452148438, | |
| "learning_rate": 1.8461538461538465e-05, | |
| "loss": 0.1594, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.10773374374759523, | |
| "grad_norm": 1.2160450220108032, | |
| "learning_rate": 2.1538461538461542e-05, | |
| "loss": 0.1275, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.12312427856868026, | |
| "grad_norm": 1.2109729051589966, | |
| "learning_rate": 2.461538461538462e-05, | |
| "loss": 0.1016, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.1385148133897653, | |
| "grad_norm": 1.4886703491210938, | |
| "learning_rate": 2.7692307692307694e-05, | |
| "loss": 0.1185, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.15390534821085033, | |
| "grad_norm": 0.7382891774177551, | |
| "learning_rate": 3.0769230769230774e-05, | |
| "loss": 0.0854, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.15390534821085033, | |
| "eval_loss": 0.06951398402452469, | |
| "eval_runtime": 181.7285, | |
| "eval_samples_per_second": 6.361, | |
| "eval_steps_per_second": 6.361, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.16929588303193535, | |
| "grad_norm": 0.8113016486167908, | |
| "learning_rate": 3.384615384615385e-05, | |
| "loss": 0.0648, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.1846864178530204, | |
| "grad_norm": 0.8134452700614929, | |
| "learning_rate": 3.692307692307693e-05, | |
| "loss": 0.0724, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.2000769526741054, | |
| "grad_norm": 1.111953616142273, | |
| "learning_rate": 4e-05, | |
| "loss": 0.0692, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.21546748749519046, | |
| "grad_norm": 0.7792268991470337, | |
| "learning_rate": 4.3076923076923084e-05, | |
| "loss": 0.079, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.2308580223162755, | |
| "grad_norm": 0.9049783945083618, | |
| "learning_rate": 4.615384615384616e-05, | |
| "loss": 0.061, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.2308580223162755, | |
| "eval_loss": 0.0585860013961792, | |
| "eval_runtime": 181.7435, | |
| "eval_samples_per_second": 6.361, | |
| "eval_steps_per_second": 6.361, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.24624855713736052, | |
| "grad_norm": 0.7568258047103882, | |
| "learning_rate": 4.923076923076924e-05, | |
| "loss": 0.0617, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.26163909195844554, | |
| "grad_norm": 0.7794573307037354, | |
| "learning_rate": 5.230769230769231e-05, | |
| "loss": 0.0615, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.2770296267795306, | |
| "grad_norm": 0.8195641040802002, | |
| "learning_rate": 5.538461538461539e-05, | |
| "loss": 0.0526, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.2924201616006156, | |
| "grad_norm": 0.3618631064891815, | |
| "learning_rate": 5.846153846153847e-05, | |
| "loss": 0.044, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.30781069642170067, | |
| "grad_norm": 0.5989110469818115, | |
| "learning_rate": 6.153846153846155e-05, | |
| "loss": 0.0581, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.30781069642170067, | |
| "eval_loss": 0.05444643646478653, | |
| "eval_runtime": 181.7053, | |
| "eval_samples_per_second": 6.362, | |
| "eval_steps_per_second": 6.362, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.3232012312427857, | |
| "grad_norm": 0.7792056798934937, | |
| "learning_rate": 6.461538461538462e-05, | |
| "loss": 0.0558, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.3385917660638707, | |
| "grad_norm": 0.8352409601211548, | |
| "learning_rate": 6.76923076923077e-05, | |
| "loss": 0.0499, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.35398230088495575, | |
| "grad_norm": 0.3525795042514801, | |
| "learning_rate": 7.076923076923078e-05, | |
| "loss": 0.0384, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.3693728357060408, | |
| "grad_norm": 0.4654476046562195, | |
| "learning_rate": 7.384615384615386e-05, | |
| "loss": 0.0458, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.38476337052712584, | |
| "grad_norm": 0.45548224449157715, | |
| "learning_rate": 7.692307692307693e-05, | |
| "loss": 0.0443, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.38476337052712584, | |
| "eval_loss": 0.04309243708848953, | |
| "eval_runtime": 181.7049, | |
| "eval_samples_per_second": 6.362, | |
| "eval_steps_per_second": 6.362, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.4001539053482108, | |
| "grad_norm": 0.5583269596099854, | |
| "learning_rate": 8e-05, | |
| "loss": 0.0404, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.41554444016929587, | |
| "grad_norm": 0.41081997752189636, | |
| "learning_rate": 8.307692307692309e-05, | |
| "loss": 0.0411, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.4309349749903809, | |
| "grad_norm": 0.513261616230011, | |
| "learning_rate": 8.615384615384617e-05, | |
| "loss": 0.0541, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.44632550981146596, | |
| "grad_norm": 0.43006983399391174, | |
| "learning_rate": 8.923076923076924e-05, | |
| "loss": 0.0506, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.461716044632551, | |
| "grad_norm": 0.38600465655326843, | |
| "learning_rate": 9.230769230769232e-05, | |
| "loss": 0.0398, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.461716044632551, | |
| "eval_loss": 0.04688544571399689, | |
| "eval_runtime": 181.771, | |
| "eval_samples_per_second": 6.36, | |
| "eval_steps_per_second": 6.36, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.477106579453636, | |
| "grad_norm": 0.5189172625541687, | |
| "learning_rate": 9.53846153846154e-05, | |
| "loss": 0.0522, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.49249711427472104, | |
| "grad_norm": 0.31192007660865784, | |
| "learning_rate": 9.846153846153848e-05, | |
| "loss": 0.0464, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.5078876490958061, | |
| "grad_norm": 0.47563448548316956, | |
| "learning_rate": 9.999927654251793e-05, | |
| "loss": 0.048, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.5232781839168911, | |
| "grad_norm": 0.3781372308731079, | |
| "learning_rate": 9.99934890082745e-05, | |
| "loss": 0.0445, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.5386687187379762, | |
| "grad_norm": 0.43737003207206726, | |
| "learning_rate": 9.99819146097084e-05, | |
| "loss": 0.0431, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.5386687187379762, | |
| "eval_loss": 0.045772019773721695, | |
| "eval_runtime": 181.7468, | |
| "eval_samples_per_second": 6.36, | |
| "eval_steps_per_second": 6.36, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.5540592535590612, | |
| "grad_norm": 0.36792123317718506, | |
| "learning_rate": 9.996455468658355e-05, | |
| "loss": 0.0571, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.5694497883801463, | |
| "grad_norm": 0.4085187613964081, | |
| "learning_rate": 9.994141124835203e-05, | |
| "loss": 0.0369, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.5848403232012312, | |
| "grad_norm": 0.5380191206932068, | |
| "learning_rate": 9.991248697392142e-05, | |
| "loss": 0.038, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.6002308580223162, | |
| "grad_norm": 0.4832334518432617, | |
| "learning_rate": 9.987778521134476e-05, | |
| "loss": 0.0351, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.6156213928434013, | |
| "grad_norm": 0.26285237073898315, | |
| "learning_rate": 9.983730997743294e-05, | |
| "loss": 0.0482, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.6156213928434013, | |
| "eval_loss": 0.04355475306510925, | |
| "eval_runtime": 181.7461, | |
| "eval_samples_per_second": 6.361, | |
| "eval_steps_per_second": 6.361, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.6310119276644863, | |
| "grad_norm": 0.2608589828014374, | |
| "learning_rate": 9.979106595728978e-05, | |
| "loss": 0.042, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.6464024624855714, | |
| "grad_norm": 0.5077489018440247, | |
| "learning_rate": 9.973905850376977e-05, | |
| "loss": 0.0454, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.6617929973066564, | |
| "grad_norm": 0.4572131037712097, | |
| "learning_rate": 9.968129363685833e-05, | |
| "loss": 0.0437, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.6771835321277414, | |
| "grad_norm": 0.4632183015346527, | |
| "learning_rate": 9.961777804297514e-05, | |
| "loss": 0.0581, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.6925740669488265, | |
| "grad_norm": 0.3846943974494934, | |
| "learning_rate": 9.954851907420009e-05, | |
| "loss": 0.029, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.6925740669488265, | |
| "eval_loss": 0.038769323378801346, | |
| "eval_runtime": 181.7543, | |
| "eval_samples_per_second": 6.36, | |
| "eval_steps_per_second": 6.36, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.7079646017699115, | |
| "grad_norm": 0.21216456592082977, | |
| "learning_rate": 9.947352474742222e-05, | |
| "loss": 0.0351, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.7233551365909965, | |
| "grad_norm": 0.3389206528663635, | |
| "learning_rate": 9.93928037434118e-05, | |
| "loss": 0.0308, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.7387456714120816, | |
| "grad_norm": 0.6215451955795288, | |
| "learning_rate": 9.930636540581556e-05, | |
| "loss": 0.0427, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.7541362062331666, | |
| "grad_norm": 0.23567695915699005, | |
| "learning_rate": 9.921421974007506e-05, | |
| "loss": 0.0453, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.7695267410542517, | |
| "grad_norm": 0.32285988330841064, | |
| "learning_rate": 9.911637741226849e-05, | |
| "loss": 0.0294, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.7695267410542517, | |
| "eval_loss": 0.03677697852253914, | |
| "eval_runtime": 181.7747, | |
| "eval_samples_per_second": 6.36, | |
| "eval_steps_per_second": 6.36, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.7849172758753367, | |
| "grad_norm": 0.44437527656555176, | |
| "learning_rate": 9.90128497478762e-05, | |
| "loss": 0.0299, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.8003078106964217, | |
| "grad_norm": 0.32935965061187744, | |
| "learning_rate": 9.890364873046965e-05, | |
| "loss": 0.0423, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.8156983455175068, | |
| "grad_norm": 0.3649428188800812, | |
| "learning_rate": 9.878878700032427e-05, | |
| "loss": 0.0525, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.8310888803385917, | |
| "grad_norm": 0.33312538266181946, | |
| "learning_rate": 9.866827785295638e-05, | |
| "loss": 0.0413, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.8464794151596768, | |
| "grad_norm": 0.2349109649658203, | |
| "learning_rate": 9.854213523758413e-05, | |
| "loss": 0.0415, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.8464794151596768, | |
| "eval_loss": 0.034638144075870514, | |
| "eval_runtime": 181.7519, | |
| "eval_samples_per_second": 6.36, | |
| "eval_steps_per_second": 6.36, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.8618699499807618, | |
| "grad_norm": 0.29396870732307434, | |
| "learning_rate": 9.841037375551294e-05, | |
| "loss": 0.0355, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.8772604848018468, | |
| "grad_norm": 0.23835968971252441, | |
| "learning_rate": 9.827300865844527e-05, | |
| "loss": 0.0259, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 0.8926510196229319, | |
| "grad_norm": 0.32715070247650146, | |
| "learning_rate": 9.813005584671522e-05, | |
| "loss": 0.0346, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.9080415544440169, | |
| "grad_norm": 0.2577593922615051, | |
| "learning_rate": 9.79815318674481e-05, | |
| "loss": 0.0499, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 0.923432089265102, | |
| "grad_norm": 0.2869316339492798, | |
| "learning_rate": 9.782745391264498e-05, | |
| "loss": 0.0341, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.923432089265102, | |
| "eval_loss": 0.034780871123075485, | |
| "eval_runtime": 181.7801, | |
| "eval_samples_per_second": 6.359, | |
| "eval_steps_per_second": 6.359, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.938822624086187, | |
| "grad_norm": 0.3402882516384125, | |
| "learning_rate": 9.76678398171927e-05, | |
| "loss": 0.0313, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 0.954213158907272, | |
| "grad_norm": 0.27556324005126953, | |
| "learning_rate": 9.750270805679945e-05, | |
| "loss": 0.0435, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 0.9696036937283571, | |
| "grad_norm": 0.3360099196434021, | |
| "learning_rate": 9.733207774585618e-05, | |
| "loss": 0.0427, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 0.9849942285494421, | |
| "grad_norm": 0.2659825384616852, | |
| "learning_rate": 9.715596863522398e-05, | |
| "loss": 0.0327, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.0003847633705272, | |
| "grad_norm": 0.37849897146224976, | |
| "learning_rate": 9.697440110994801e-05, | |
| "loss": 0.0303, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.0003847633705272, | |
| "eval_loss": 0.03528154641389847, | |
| "eval_runtime": 181.8918, | |
| "eval_samples_per_second": 6.355, | |
| "eval_steps_per_second": 6.355, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.0157752981916122, | |
| "grad_norm": 0.3455275595188141, | |
| "learning_rate": 9.678739618689775e-05, | |
| "loss": 0.0339, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.0311658330126972, | |
| "grad_norm": 0.23953555524349213, | |
| "learning_rate": 9.659497551233431e-05, | |
| "loss": 0.0311, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 1.0465563678337821, | |
| "grad_norm": 0.28274527192115784, | |
| "learning_rate": 9.639716135940485e-05, | |
| "loss": 0.033, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 1.0619469026548674, | |
| "grad_norm": 0.526482343673706, | |
| "learning_rate": 9.619397662556435e-05, | |
| "loss": 0.0442, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 1.0773374374759523, | |
| "grad_norm": 0.3312353491783142, | |
| "learning_rate": 9.598544482992517e-05, | |
| "loss": 0.0353, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.0773374374759523, | |
| "eval_loss": 0.037871893495321274, | |
| "eval_runtime": 181.8407, | |
| "eval_samples_per_second": 6.357, | |
| "eval_steps_per_second": 6.357, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.0927279722970373, | |
| "grad_norm": 0.5539495348930359, | |
| "learning_rate": 9.57715901105348e-05, | |
| "loss": 0.0325, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 1.1081185071181223, | |
| "grad_norm": 0.21886028349399567, | |
| "learning_rate": 9.555243722158158e-05, | |
| "loss": 0.0287, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 1.1235090419392073, | |
| "grad_norm": 0.20140358805656433, | |
| "learning_rate": 9.532801153052958e-05, | |
| "loss": 0.029, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 1.1388995767602923, | |
| "grad_norm": 0.4935223162174225, | |
| "learning_rate": 9.509833901518209e-05, | |
| "loss": 0.0361, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 1.1542901115813775, | |
| "grad_norm": 0.3583446443080902, | |
| "learning_rate": 9.486344626067475e-05, | |
| "loss": 0.026, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.1542901115813775, | |
| "eval_loss": 0.03458985313773155, | |
| "eval_runtime": 181.8591, | |
| "eval_samples_per_second": 6.357, | |
| "eval_steps_per_second": 6.357, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.1696806464024625, | |
| "grad_norm": 0.3114105463027954, | |
| "learning_rate": 9.462336045639815e-05, | |
| "loss": 0.033, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 1.1850711812235475, | |
| "grad_norm": 0.18866032361984253, | |
| "learning_rate": 9.437810939285068e-05, | |
| "loss": 0.0344, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 1.2004617160446325, | |
| "grad_norm": 0.37387722730636597, | |
| "learning_rate": 9.412772145842165e-05, | |
| "loss": 0.0347, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 1.2158522508657175, | |
| "grad_norm": 0.39051756262779236, | |
| "learning_rate": 9.387222563610535e-05, | |
| "loss": 0.0346, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 1.2312427856868027, | |
| "grad_norm": 0.3173379600048065, | |
| "learning_rate": 9.361165150014606e-05, | |
| "loss": 0.0289, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.2312427856868027, | |
| "eval_loss": 0.0333932600915432, | |
| "eval_runtime": 181.7815, | |
| "eval_samples_per_second": 6.359, | |
| "eval_steps_per_second": 6.359, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.2466333205078877, | |
| "grad_norm": 0.21952079236507416, | |
| "learning_rate": 9.334602921261492e-05, | |
| "loss": 0.0287, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 1.2620238553289727, | |
| "grad_norm": 0.8045993447303772, | |
| "learning_rate": 9.307538951991852e-05, | |
| "loss": 0.0286, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 1.2774143901500576, | |
| "grad_norm": 0.28386226296424866, | |
| "learning_rate": 9.279976374923988e-05, | |
| "loss": 0.0341, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 1.2928049249711426, | |
| "grad_norm": 0.35170432925224304, | |
| "learning_rate": 9.251918380491238e-05, | |
| "loss": 0.0269, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 1.3081954597922278, | |
| "grad_norm": 0.3447723984718323, | |
| "learning_rate": 9.223368216472668e-05, | |
| "loss": 0.0274, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 1.3081954597922278, | |
| "eval_loss": 0.03453436121344566, | |
| "eval_runtime": 181.7653, | |
| "eval_samples_per_second": 6.36, | |
| "eval_steps_per_second": 6.36, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 1.3235859946133128, | |
| "grad_norm": 0.21927620470523834, | |
| "learning_rate": 9.194329187617127e-05, | |
| "loss": 0.0265, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 1.3389765294343978, | |
| "grad_norm": 0.26884472370147705, | |
| "learning_rate": 9.164804655260735e-05, | |
| "loss": 0.0266, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 1.3543670642554828, | |
| "grad_norm": 0.17841775715351105, | |
| "learning_rate": 9.134798036937778e-05, | |
| "loss": 0.0288, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 1.3697575990765678, | |
| "grad_norm": 0.28215092420578003, | |
| "learning_rate": 9.104312805985134e-05, | |
| "loss": 0.0383, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 1.385148133897653, | |
| "grad_norm": 0.2890825569629669, | |
| "learning_rate": 9.073352491140221e-05, | |
| "loss": 0.0206, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.385148133897653, | |
| "eval_loss": 0.032716140151023865, | |
| "eval_runtime": 181.7567, | |
| "eval_samples_per_second": 6.36, | |
| "eval_steps_per_second": 6.36, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.400538668718738, | |
| "grad_norm": 0.2569309175014496, | |
| "learning_rate": 9.041920676132543e-05, | |
| "loss": 0.0294, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 1.415929203539823, | |
| "grad_norm": 0.28140658140182495, | |
| "learning_rate": 9.010020999268854e-05, | |
| "loss": 0.0312, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 1.431319738360908, | |
| "grad_norm": 0.21810609102249146, | |
| "learning_rate": 8.977657153012027e-05, | |
| "loss": 0.0266, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 1.446710273181993, | |
| "grad_norm": 0.5112712383270264, | |
| "learning_rate": 8.944832883553633e-05, | |
| "loss": 0.0283, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 1.4621008080030782, | |
| "grad_norm": 0.14848096668720245, | |
| "learning_rate": 8.91155199038032e-05, | |
| "loss": 0.0362, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 1.4621008080030782, | |
| "eval_loss": 0.0331537090241909, | |
| "eval_runtime": 181.9323, | |
| "eval_samples_per_second": 6.354, | |
| "eval_steps_per_second": 6.354, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 1.4774913428241632, | |
| "grad_norm": 0.255219966173172, | |
| "learning_rate": 8.877818325834006e-05, | |
| "loss": 0.0283, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 1.4928818776452482, | |
| "grad_norm": 0.09283377230167389, | |
| "learning_rate": 8.843635794665961e-05, | |
| "loss": 0.0229, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 1.5082724124663334, | |
| "grad_norm": 0.363229364156723, | |
| "learning_rate": 8.809008353584829e-05, | |
| "loss": 0.0295, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 1.5236629472874181, | |
| "grad_norm": 0.26844626665115356, | |
| "learning_rate": 8.773940010798627e-05, | |
| "loss": 0.0295, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 1.5390534821085033, | |
| "grad_norm": 0.42271193861961365, | |
| "learning_rate": 8.738434825550785e-05, | |
| "loss": 0.0305, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.5390534821085033, | |
| "eval_loss": 0.035451073199510574, | |
| "eval_runtime": 181.8826, | |
| "eval_samples_per_second": 6.356, | |
| "eval_steps_per_second": 6.356, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.5544440169295883, | |
| "grad_norm": 0.3385646939277649, | |
| "learning_rate": 8.702496907650274e-05, | |
| "loss": 0.0346, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 1.5698345517506733, | |
| "grad_norm": 0.35555073618888855, | |
| "learning_rate": 8.666130416995897e-05, | |
| "loss": 0.0316, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 1.5852250865717585, | |
| "grad_norm": 0.26448431611061096, | |
| "learning_rate": 8.629339563094758e-05, | |
| "loss": 0.0297, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 1.6006156213928433, | |
| "grad_norm": 0.3541312515735626, | |
| "learning_rate": 8.592128604575014e-05, | |
| "loss": 0.0274, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 1.6160061562139285, | |
| "grad_norm": 0.6882481575012207, | |
| "learning_rate": 8.554501848692921e-05, | |
| "loss": 0.033, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.6160061562139285, | |
| "eval_loss": 0.03250161185860634, | |
| "eval_runtime": 181.7856, | |
| "eval_samples_per_second": 6.359, | |
| "eval_steps_per_second": 6.359, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.6313966910350135, | |
| "grad_norm": 0.19301781058311462, | |
| "learning_rate": 8.51646365083426e-05, | |
| "loss": 0.0226, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 1.6467872258560985, | |
| "grad_norm": 0.24382206797599792, | |
| "learning_rate": 8.478018414010191e-05, | |
| "loss": 0.0258, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 1.6621777606771835, | |
| "grad_norm": 0.4981677234172821, | |
| "learning_rate": 8.439170588347598e-05, | |
| "loss": 0.0231, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 1.6775682954982685, | |
| "grad_norm": 0.8556720614433289, | |
| "learning_rate": 8.399924670573969e-05, | |
| "loss": 0.0287, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 1.6929588303193537, | |
| "grad_norm": 0.28823643922805786, | |
| "learning_rate": 8.360285203496894e-05, | |
| "loss": 0.035, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.6929588303193537, | |
| "eval_loss": 0.03675594925880432, | |
| "eval_runtime": 181.8802, | |
| "eval_samples_per_second": 6.356, | |
| "eval_steps_per_second": 6.356, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.7083493651404387, | |
| "grad_norm": 0.4210245907306671, | |
| "learning_rate": 8.320256775478228e-05, | |
| "loss": 0.0307, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 1.7237398999615237, | |
| "grad_norm": 0.2030617594718933, | |
| "learning_rate": 8.279844019902968e-05, | |
| "loss": 0.0241, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 1.7391304347826086, | |
| "grad_norm": 0.39251893758773804, | |
| "learning_rate": 8.239051614642934e-05, | |
| "loss": 0.0338, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 1.7545209696036936, | |
| "grad_norm": 0.21648012101650238, | |
| "learning_rate": 8.197884281515292e-05, | |
| "loss": 0.0391, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 1.7699115044247788, | |
| "grad_norm": 0.21202810108661652, | |
| "learning_rate": 8.156346785735997e-05, | |
| "loss": 0.0219, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 1.7699115044247788, | |
| "eval_loss": 0.03331456333398819, | |
| "eval_runtime": 181.9008, | |
| "eval_samples_per_second": 6.355, | |
| "eval_steps_per_second": 6.355, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 1.7853020392458638, | |
| "grad_norm": 0.18095539510250092, | |
| "learning_rate": 8.114443935368198e-05, | |
| "loss": 0.0336, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 1.8006925740669488, | |
| "grad_norm": 0.22352856397628784, | |
| "learning_rate": 8.072180580765709e-05, | |
| "loss": 0.0242, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 1.8160831088880338, | |
| "grad_norm": 0.28671175241470337, | |
| "learning_rate": 8.02956161401155e-05, | |
| "loss": 0.0259, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 1.8314736437091188, | |
| "grad_norm": 0.26024141907691956, | |
| "learning_rate": 7.98659196835169e-05, | |
| "loss": 0.0299, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 1.846864178530204, | |
| "grad_norm": 0.13861975073814392, | |
| "learning_rate": 7.943276617624014e-05, | |
| "loss": 0.0199, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.846864178530204, | |
| "eval_loss": 0.037526000291109085, | |
| "eval_runtime": 181.8816, | |
| "eval_samples_per_second": 6.356, | |
| "eval_steps_per_second": 6.356, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.862254713351289, | |
| "grad_norm": 0.5025237798690796, | |
| "learning_rate": 7.899620575682578e-05, | |
| "loss": 0.0295, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 1.877645248172374, | |
| "grad_norm": 0.18757639825344086, | |
| "learning_rate": 7.85562889581725e-05, | |
| "loss": 0.0233, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 1.893035782993459, | |
| "grad_norm": 0.13187754154205322, | |
| "learning_rate": 7.811306670168788e-05, | |
| "loss": 0.0276, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 1.908426317814544, | |
| "grad_norm": 0.3836573362350464, | |
| "learning_rate": 7.766659029139393e-05, | |
| "loss": 0.0347, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 1.9238168526356292, | |
| "grad_norm": 0.4797174632549286, | |
| "learning_rate": 7.72169114079887e-05, | |
| "loss": 0.0279, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 1.9238168526356292, | |
| "eval_loss": 0.032986849546432495, | |
| "eval_runtime": 181.8359, | |
| "eval_samples_per_second": 6.357, | |
| "eval_steps_per_second": 6.357, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 1.9392073874567142, | |
| "grad_norm": 0.6321930289268494, | |
| "learning_rate": 7.676408210286407e-05, | |
| "loss": 0.0302, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 1.9545979222777992, | |
| "grad_norm": 0.22899775207042694, | |
| "learning_rate": 7.630815479208066e-05, | |
| "loss": 0.0309, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 1.9699884570988841, | |
| "grad_norm": 0.27863240242004395, | |
| "learning_rate": 7.584918225030053e-05, | |
| "loss": 0.0225, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 1.9853789919199691, | |
| "grad_norm": 0.1779979020357132, | |
| "learning_rate": 7.538721760467845e-05, | |
| "loss": 0.0315, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 2.0007695267410543, | |
| "grad_norm": 0.18828840553760529, | |
| "learning_rate": 7.49223143287122e-05, | |
| "loss": 0.0226, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.0007695267410543, | |
| "eval_loss": 0.03224512189626694, | |
| "eval_runtime": 181.8611, | |
| "eval_samples_per_second": 6.357, | |
| "eval_steps_per_second": 6.357, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.016160061562139, | |
| "grad_norm": 0.2461148500442505, | |
| "learning_rate": 7.445452623605307e-05, | |
| "loss": 0.0176, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 2.0315505963832243, | |
| "grad_norm": 0.35559847950935364, | |
| "learning_rate": 7.398390747427662e-05, | |
| "loss": 0.018, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 2.0469411312043095, | |
| "grad_norm": 0.17443691194057465, | |
| "learning_rate": 7.351051251861501e-05, | |
| "loss": 0.0192, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 2.0623316660253943, | |
| "grad_norm": 0.0687423050403595, | |
| "learning_rate": 7.303439616565146e-05, | |
| "loss": 0.0213, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 2.0777222008464795, | |
| "grad_norm": 0.12578760087490082, | |
| "learning_rate": 7.255561352697732e-05, | |
| "loss": 0.0178, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 2.0777222008464795, | |
| "eval_loss": 0.03181542828679085, | |
| "eval_runtime": 181.7239, | |
| "eval_samples_per_second": 6.361, | |
| "eval_steps_per_second": 6.361, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 2.0931127356675643, | |
| "grad_norm": 0.1363806426525116, | |
| "learning_rate": 7.207422002281281e-05, | |
| "loss": 0.0185, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 2.1085032704886495, | |
| "grad_norm": 0.43135547637939453, | |
| "learning_rate": 7.159027137559197e-05, | |
| "loss": 0.0164, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 2.1238938053097347, | |
| "grad_norm": 0.2357529252767563, | |
| "learning_rate": 7.110382360351267e-05, | |
| "loss": 0.0134, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 2.1392843401308195, | |
| "grad_norm": 0.08881539851427078, | |
| "learning_rate": 7.061493301405244e-05, | |
| "loss": 0.0142, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 2.1546748749519047, | |
| "grad_norm": 0.5172821283340454, | |
| "learning_rate": 7.012365619745064e-05, | |
| "loss": 0.022, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.1546748749519047, | |
| "eval_loss": 0.03445231914520264, | |
| "eval_runtime": 181.7197, | |
| "eval_samples_per_second": 6.361, | |
| "eval_steps_per_second": 6.361, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.1700654097729895, | |
| "grad_norm": 0.06512246280908585, | |
| "learning_rate": 6.963005002015808e-05, | |
| "loss": 0.0168, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 2.1854559445940747, | |
| "grad_norm": 0.24386030435562134, | |
| "learning_rate": 6.91341716182545e-05, | |
| "loss": 0.0219, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 2.20084647941516, | |
| "grad_norm": 0.17258454859256744, | |
| "learning_rate": 6.863607839083507e-05, | |
| "loss": 0.0111, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 2.2162370142362446, | |
| "grad_norm": 0.24131588637828827, | |
| "learning_rate": 6.813582799336624e-05, | |
| "loss": 0.021, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 2.23162754905733, | |
| "grad_norm": 0.12388203293085098, | |
| "learning_rate": 6.763347833101192e-05, | |
| "loss": 0.0098, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 2.23162754905733, | |
| "eval_loss": 0.03824140876531601, | |
| "eval_runtime": 181.8235, | |
| "eval_samples_per_second": 6.358, | |
| "eval_steps_per_second": 6.358, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 2.2470180838784146, | |
| "grad_norm": 0.4268186092376709, | |
| "learning_rate": 6.712908755193094e-05, | |
| "loss": 0.0188, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 2.2624086186995, | |
| "grad_norm": 0.2414432018995285, | |
| "learning_rate": 6.662271404054621e-05, | |
| "loss": 0.0211, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 2.2777991535205846, | |
| "grad_norm": 0.3145079016685486, | |
| "learning_rate": 6.611441641078657e-05, | |
| "loss": 0.0186, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 2.29318968834167, | |
| "grad_norm": 0.12285123765468597, | |
| "learning_rate": 6.560425349930208e-05, | |
| "loss": 0.0204, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 2.308580223162755, | |
| "grad_norm": 0.8541750907897949, | |
| "learning_rate": 6.509228435865357e-05, | |
| "loss": 0.0209, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.308580223162755, | |
| "eval_loss": 0.03401584550738335, | |
| "eval_runtime": 181.7355, | |
| "eval_samples_per_second": 6.361, | |
| "eval_steps_per_second": 6.361, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.32397075798384, | |
| "grad_norm": 0.13757294416427612, | |
| "learning_rate": 6.45785682504772e-05, | |
| "loss": 0.0216, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 2.339361292804925, | |
| "grad_norm": 0.1696965992450714, | |
| "learning_rate": 6.406316463862467e-05, | |
| "loss": 0.0219, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 2.3547518276260098, | |
| "grad_norm": 0.11982149630784988, | |
| "learning_rate": 6.35461331822803e-05, | |
| "loss": 0.0145, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 2.370142362447095, | |
| "grad_norm": 0.2645229399204254, | |
| "learning_rate": 6.302753372905515e-05, | |
| "loss": 0.0184, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 2.38553289726818, | |
| "grad_norm": 0.2876879572868347, | |
| "learning_rate": 6.250742630805971e-05, | |
| "loss": 0.015, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 2.38553289726818, | |
| "eval_loss": 0.0370011031627655, | |
| "eval_runtime": 181.7426, | |
| "eval_samples_per_second": 6.361, | |
| "eval_steps_per_second": 6.361, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 2.400923432089265, | |
| "grad_norm": 0.3021048903465271, | |
| "learning_rate": 6.198587112295526e-05, | |
| "loss": 0.0137, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 2.41631396691035, | |
| "grad_norm": 0.18024735152721405, | |
| "learning_rate": 6.14629285449852e-05, | |
| "loss": 0.0177, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 2.431704501731435, | |
| "grad_norm": 0.17211011052131653, | |
| "learning_rate": 6.093865910598688e-05, | |
| "loss": 0.0177, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 2.44709503655252, | |
| "grad_norm": 0.2713499069213867, | |
| "learning_rate": 6.0413123491385025e-05, | |
| "loss": 0.018, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 2.4624855713736054, | |
| "grad_norm": 0.18026965856552124, | |
| "learning_rate": 5.988638253316713e-05, | |
| "loss": 0.0139, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.4624855713736054, | |
| "eval_loss": 0.036044903099536896, | |
| "eval_runtime": 181.9632, | |
| "eval_samples_per_second": 6.353, | |
| "eval_steps_per_second": 6.353, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.47787610619469, | |
| "grad_norm": 0.28000470995903015, | |
| "learning_rate": 5.935849720284206e-05, | |
| "loss": 0.0166, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 2.4932666410157753, | |
| "grad_norm": 0.2058064043521881, | |
| "learning_rate": 5.8829528604382436e-05, | |
| "loss": 0.0211, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 2.50865717583686, | |
| "grad_norm": 0.4643082022666931, | |
| "learning_rate": 5.829953796715176e-05, | |
| "loss": 0.0168, | |
| "step": 1630 | |
| }, | |
| { | |
| "epoch": 2.5240477106579453, | |
| "grad_norm": 0.3830045163631439, | |
| "learning_rate": 5.7768586638816924e-05, | |
| "loss": 0.0213, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 2.5394382454790305, | |
| "grad_norm": 0.1851435899734497, | |
| "learning_rate": 5.723673607824705e-05, | |
| "loss": 0.0196, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 2.5394382454790305, | |
| "eval_loss": 0.0336180217564106, | |
| "eval_runtime": 181.8677, | |
| "eval_samples_per_second": 6.356, | |
| "eval_steps_per_second": 6.356, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 2.5548287803001153, | |
| "grad_norm": 0.25386324524879456, | |
| "learning_rate": 5.670404784839953e-05, | |
| "loss": 0.0111, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 2.5702193151212005, | |
| "grad_norm": 0.41750213503837585, | |
| "learning_rate": 5.6170583609193984e-05, | |
| "loss": 0.0175, | |
| "step": 1670 | |
| }, | |
| { | |
| "epoch": 2.5856098499422853, | |
| "grad_norm": 0.5525423288345337, | |
| "learning_rate": 5.56364051103749e-05, | |
| "loss": 0.0195, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 2.6010003847633705, | |
| "grad_norm": 0.18864604830741882, | |
| "learning_rate": 5.5101574184364056e-05, | |
| "loss": 0.021, | |
| "step": 1690 | |
| }, | |
| { | |
| "epoch": 2.6163909195844557, | |
| "grad_norm": 0.4163510799407959, | |
| "learning_rate": 5.4566152739103116e-05, | |
| "loss": 0.0205, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.6163909195844557, | |
| "eval_loss": 0.03435565531253815, | |
| "eval_runtime": 181.8924, | |
| "eval_samples_per_second": 6.355, | |
| "eval_steps_per_second": 6.355, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.6317814544055405, | |
| "grad_norm": 0.46013107895851135, | |
| "learning_rate": 5.403020275088786e-05, | |
| "loss": 0.0192, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 2.6471719892266257, | |
| "grad_norm": 0.35217469930648804, | |
| "learning_rate": 5.349378625719408e-05, | |
| "loss": 0.0268, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 2.6625625240477104, | |
| "grad_norm": 0.5294527411460876, | |
| "learning_rate": 5.2956965349496743e-05, | |
| "loss": 0.0201, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 2.6779530588687956, | |
| "grad_norm": 0.15640372037887573, | |
| "learning_rate": 5.241980216608261e-05, | |
| "loss": 0.0152, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 2.693343593689881, | |
| "grad_norm": 0.08065128326416016, | |
| "learning_rate": 5.188235888485773e-05, | |
| "loss": 0.0229, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 2.693343593689881, | |
| "eval_loss": 0.032898351550102234, | |
| "eval_runtime": 181.9287, | |
| "eval_samples_per_second": 6.354, | |
| "eval_steps_per_second": 6.354, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 2.7087341285109656, | |
| "grad_norm": 0.2963849604129791, | |
| "learning_rate": 5.13446977161501e-05, | |
| "loss": 0.0129, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 2.724124663332051, | |
| "grad_norm": 0.35389959812164307, | |
| "learning_rate": 5.0806880895508766e-05, | |
| "loss": 0.0173, | |
| "step": 1770 | |
| }, | |
| { | |
| "epoch": 2.7395151981531356, | |
| "grad_norm": 0.5031420588493347, | |
| "learning_rate": 5.026897067649976e-05, | |
| "loss": 0.0221, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 2.754905732974221, | |
| "grad_norm": 0.2417978197336197, | |
| "learning_rate": 4.973102932350026e-05, | |
| "loss": 0.0175, | |
| "step": 1790 | |
| }, | |
| { | |
| "epoch": 2.770296267795306, | |
| "grad_norm": 0.2386423647403717, | |
| "learning_rate": 4.9193119104491245e-05, | |
| "loss": 0.0184, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 2.770296267795306, | |
| "eval_loss": 0.03297585994005203, | |
| "eval_runtime": 181.9888, | |
| "eval_samples_per_second": 6.352, | |
| "eval_steps_per_second": 6.352, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 2.785686802616391, | |
| "grad_norm": 0.424748957157135, | |
| "learning_rate": 4.86553022838499e-05, | |
| "loss": 0.0186, | |
| "step": 1810 | |
| }, | |
| { | |
| "epoch": 2.801077337437476, | |
| "grad_norm": 0.2975512742996216, | |
| "learning_rate": 4.8117641115142285e-05, | |
| "loss": 0.0217, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 2.8164678722585608, | |
| "grad_norm": 0.6139042377471924, | |
| "learning_rate": 4.758019783391741e-05, | |
| "loss": 0.0205, | |
| "step": 1830 | |
| }, | |
| { | |
| "epoch": 2.831858407079646, | |
| "grad_norm": 0.20860710740089417, | |
| "learning_rate": 4.704303465050327e-05, | |
| "loss": 0.0204, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 2.847248941900731, | |
| "grad_norm": 0.1627204269170761, | |
| "learning_rate": 4.6506213742805924e-05, | |
| "loss": 0.0192, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 2.847248941900731, | |
| "eval_loss": 0.03292803466320038, | |
| "eval_runtime": 182.25, | |
| "eval_samples_per_second": 6.343, | |
| "eval_steps_per_second": 6.343, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 2.862639476721816, | |
| "grad_norm": 0.31320932507514954, | |
| "learning_rate": 4.5969797249112146e-05, | |
| "loss": 0.0146, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 2.878030011542901, | |
| "grad_norm": 0.2864499092102051, | |
| "learning_rate": 4.54338472608969e-05, | |
| "loss": 0.0245, | |
| "step": 1870 | |
| }, | |
| { | |
| "epoch": 2.893420546363986, | |
| "grad_norm": 0.16330762207508087, | |
| "learning_rate": 4.489842581563597e-05, | |
| "loss": 0.0137, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 2.908811081185071, | |
| "grad_norm": 0.1614055633544922, | |
| "learning_rate": 4.436359488962511e-05, | |
| "loss": 0.0169, | |
| "step": 1890 | |
| }, | |
| { | |
| "epoch": 2.9242016160061564, | |
| "grad_norm": 0.18817143142223358, | |
| "learning_rate": 4.382941639080602e-05, | |
| "loss": 0.0176, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 2.9242016160061564, | |
| "eval_loss": 0.03322253003716469, | |
| "eval_runtime": 181.8996, | |
| "eval_samples_per_second": 6.355, | |
| "eval_steps_per_second": 6.355, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 2.939592150827241, | |
| "grad_norm": 0.5733834505081177, | |
| "learning_rate": 4.3295952151600475e-05, | |
| "loss": 0.023, | |
| "step": 1910 | |
| }, | |
| { | |
| "epoch": 2.9549826856483263, | |
| "grad_norm": 0.383525550365448, | |
| "learning_rate": 4.276326392175296e-05, | |
| "loss": 0.0187, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 2.970373220469411, | |
| "grad_norm": 0.1702577918767929, | |
| "learning_rate": 4.2231413361183095e-05, | |
| "loss": 0.0155, | |
| "step": 1930 | |
| }, | |
| { | |
| "epoch": 2.9857637552904963, | |
| "grad_norm": 0.25431495904922485, | |
| "learning_rate": 4.1700462032848244e-05, | |
| "loss": 0.0134, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 3.0011542901115815, | |
| "grad_norm": 0.1699695587158203, | |
| "learning_rate": 4.117047139561758e-05, | |
| "loss": 0.0235, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 3.0011542901115815, | |
| "eval_loss": 0.034495554864406586, | |
| "eval_runtime": 182.1707, | |
| "eval_samples_per_second": 6.346, | |
| "eval_steps_per_second": 6.346, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 3.0165448249326663, | |
| "grad_norm": 0.06585952639579773, | |
| "learning_rate": 4.0641502797157966e-05, | |
| "loss": 0.0068, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 3.0319353597537515, | |
| "grad_norm": 0.06236855685710907, | |
| "learning_rate": 4.011361746683288e-05, | |
| "loss": 0.0107, | |
| "step": 1970 | |
| }, | |
| { | |
| "epoch": 3.0473258945748363, | |
| "grad_norm": 0.19067367911338806, | |
| "learning_rate": 3.958687650861499e-05, | |
| "loss": 0.0084, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 3.0627164293959215, | |
| "grad_norm": 0.1599722057580948, | |
| "learning_rate": 3.906134089401313e-05, | |
| "loss": 0.0061, | |
| "step": 1990 | |
| }, | |
| { | |
| "epoch": 3.0781069642170067, | |
| "grad_norm": 0.11424776166677475, | |
| "learning_rate": 3.853707145501482e-05, | |
| "loss": 0.0092, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.0781069642170067, | |
| "eval_loss": 0.03834828734397888, | |
| "eval_runtime": 182.1435, | |
| "eval_samples_per_second": 6.347, | |
| "eval_steps_per_second": 6.347, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.0934974990380915, | |
| "grad_norm": 0.2723098695278168, | |
| "learning_rate": 3.801412887704475e-05, | |
| "loss": 0.0046, | |
| "step": 2010 | |
| }, | |
| { | |
| "epoch": 3.1088880338591767, | |
| "grad_norm": 0.053860701620578766, | |
| "learning_rate": 3.749257369194029e-05, | |
| "loss": 0.0095, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 3.1242785686802614, | |
| "grad_norm": 0.13399919867515564, | |
| "learning_rate": 3.697246627094487e-05, | |
| "loss": 0.0094, | |
| "step": 2030 | |
| }, | |
| { | |
| "epoch": 3.1396691035013466, | |
| "grad_norm": 0.07494858652353287, | |
| "learning_rate": 3.6453866817719726e-05, | |
| "loss": 0.009, | |
| "step": 2040 | |
| }, | |
| { | |
| "epoch": 3.155059638322432, | |
| "grad_norm": 0.6289196014404297, | |
| "learning_rate": 3.593683536137533e-05, | |
| "loss": 0.012, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 3.155059638322432, | |
| "eval_loss": 0.041652098298072815, | |
| "eval_runtime": 181.992, | |
| "eval_samples_per_second": 6.352, | |
| "eval_steps_per_second": 6.352, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 3.1704501731435166, | |
| "grad_norm": 0.10614260286092758, | |
| "learning_rate": 3.542143174952282e-05, | |
| "loss": 0.0061, | |
| "step": 2060 | |
| }, | |
| { | |
| "epoch": 3.185840707964602, | |
| "grad_norm": 0.3607775568962097, | |
| "learning_rate": 3.490771564134643e-05, | |
| "loss": 0.0071, | |
| "step": 2070 | |
| }, | |
| { | |
| "epoch": 3.2012312427856866, | |
| "grad_norm": 0.48487016558647156, | |
| "learning_rate": 3.4395746500697925e-05, | |
| "loss": 0.0089, | |
| "step": 2080 | |
| }, | |
| { | |
| "epoch": 3.216621777606772, | |
| "grad_norm": 0.44034343957901, | |
| "learning_rate": 3.388558358921343e-05, | |
| "loss": 0.0102, | |
| "step": 2090 | |
| }, | |
| { | |
| "epoch": 3.232012312427857, | |
| "grad_norm": 0.18452033400535583, | |
| "learning_rate": 3.337728595945378e-05, | |
| "loss": 0.0077, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.232012312427857, | |
| "eval_loss": 0.03836505860090256, | |
| "eval_runtime": 181.9754, | |
| "eval_samples_per_second": 6.353, | |
| "eval_steps_per_second": 6.353, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.247402847248942, | |
| "grad_norm": 0.06003500148653984, | |
| "learning_rate": 3.287091244806907e-05, | |
| "loss": 0.0082, | |
| "step": 2110 | |
| }, | |
| { | |
| "epoch": 3.262793382070027, | |
| "grad_norm": 0.354106605052948, | |
| "learning_rate": 3.2366521668988106e-05, | |
| "loss": 0.0089, | |
| "step": 2120 | |
| }, | |
| { | |
| "epoch": 3.2781839168911118, | |
| "grad_norm": 0.26153624057769775, | |
| "learning_rate": 3.186417200663379e-05, | |
| "loss": 0.0086, | |
| "step": 2130 | |
| }, | |
| { | |
| "epoch": 3.293574451712197, | |
| "grad_norm": 0.0856068953871727, | |
| "learning_rate": 3.136392160916495e-05, | |
| "loss": 0.0065, | |
| "step": 2140 | |
| }, | |
| { | |
| "epoch": 3.308964986533282, | |
| "grad_norm": 0.4745621383190155, | |
| "learning_rate": 3.086582838174551e-05, | |
| "loss": 0.0068, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 3.308964986533282, | |
| "eval_loss": 0.039253655821084976, | |
| "eval_runtime": 182.2155, | |
| "eval_samples_per_second": 6.344, | |
| "eval_steps_per_second": 6.344, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 3.324355521354367, | |
| "grad_norm": 0.23959848284721375, | |
| "learning_rate": 3.036994997984194e-05, | |
| "loss": 0.0079, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 3.339746056175452, | |
| "grad_norm": 0.606198251247406, | |
| "learning_rate": 2.9876343802549357e-05, | |
| "loss": 0.0108, | |
| "step": 2170 | |
| }, | |
| { | |
| "epoch": 3.355136590996537, | |
| "grad_norm": 0.24547742307186127, | |
| "learning_rate": 2.938506698594755e-05, | |
| "loss": 0.0091, | |
| "step": 2180 | |
| }, | |
| { | |
| "epoch": 3.370527125817622, | |
| "grad_norm": 0.21174629032611847, | |
| "learning_rate": 2.8896176396487334e-05, | |
| "loss": 0.006, | |
| "step": 2190 | |
| }, | |
| { | |
| "epoch": 3.3859176606387074, | |
| "grad_norm": 0.05651284009218216, | |
| "learning_rate": 2.8409728624408067e-05, | |
| "loss": 0.0121, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 3.3859176606387074, | |
| "eval_loss": 0.03834627568721771, | |
| "eval_runtime": 182.1278, | |
| "eval_samples_per_second": 6.347, | |
| "eval_steps_per_second": 6.347, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 3.401308195459792, | |
| "grad_norm": 0.16370394825935364, | |
| "learning_rate": 2.7925779977187215e-05, | |
| "loss": 0.0096, | |
| "step": 2210 | |
| }, | |
| { | |
| "epoch": 3.4166987302808773, | |
| "grad_norm": 0.20642130076885223, | |
| "learning_rate": 2.7444386473022686e-05, | |
| "loss": 0.0064, | |
| "step": 2220 | |
| }, | |
| { | |
| "epoch": 3.432089265101962, | |
| "grad_norm": 0.07156592607498169, | |
| "learning_rate": 2.696560383434854e-05, | |
| "loss": 0.0107, | |
| "step": 2230 | |
| }, | |
| { | |
| "epoch": 3.4474797999230473, | |
| "grad_norm": 0.21420058608055115, | |
| "learning_rate": 2.6489487481384988e-05, | |
| "loss": 0.011, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 3.4628703347441325, | |
| "grad_norm": 0.10118517279624939, | |
| "learning_rate": 2.601609252572339e-05, | |
| "loss": 0.0077, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 3.4628703347441325, | |
| "eval_loss": 0.03682588040828705, | |
| "eval_runtime": 182.308, | |
| "eval_samples_per_second": 6.341, | |
| "eval_steps_per_second": 6.341, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 3.4782608695652173, | |
| "grad_norm": 0.0672723799943924, | |
| "learning_rate": 2.554547376394692e-05, | |
| "loss": 0.0072, | |
| "step": 2260 | |
| }, | |
| { | |
| "epoch": 3.4936514043863025, | |
| "grad_norm": 0.18549731373786926, | |
| "learning_rate": 2.5077685671287808e-05, | |
| "loss": 0.0052, | |
| "step": 2270 | |
| }, | |
| { | |
| "epoch": 3.5090419392073873, | |
| "grad_norm": 0.12499016523361206, | |
| "learning_rate": 2.4612782395321593e-05, | |
| "loss": 0.0076, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 3.5244324740284725, | |
| "grad_norm": 0.22891055047512054, | |
| "learning_rate": 2.4150817749699496e-05, | |
| "loss": 0.0056, | |
| "step": 2290 | |
| }, | |
| { | |
| "epoch": 3.5398230088495577, | |
| "grad_norm": 0.11049254238605499, | |
| "learning_rate": 2.3691845207919357e-05, | |
| "loss": 0.0115, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 3.5398230088495577, | |
| "eval_loss": 0.03893190994858742, | |
| "eval_runtime": 182.6193, | |
| "eval_samples_per_second": 6.33, | |
| "eval_steps_per_second": 6.33, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 3.5552135436706425, | |
| "grad_norm": 0.05207858979701996, | |
| "learning_rate": 2.3235917897135934e-05, | |
| "loss": 0.0097, | |
| "step": 2310 | |
| }, | |
| { | |
| "epoch": 3.5706040784917277, | |
| "grad_norm": 0.4066181480884552, | |
| "learning_rate": 2.2783088592011303e-05, | |
| "loss": 0.0093, | |
| "step": 2320 | |
| }, | |
| { | |
| "epoch": 3.5859946133128124, | |
| "grad_norm": 0.569721519947052, | |
| "learning_rate": 2.233340970860608e-05, | |
| "loss": 0.0074, | |
| "step": 2330 | |
| }, | |
| { | |
| "epoch": 3.6013851481338977, | |
| "grad_norm": 0.8917023539543152, | |
| "learning_rate": 2.1886933298312125e-05, | |
| "loss": 0.0134, | |
| "step": 2340 | |
| }, | |
| { | |
| "epoch": 3.616775682954983, | |
| "grad_norm": 0.18456467986106873, | |
| "learning_rate": 2.1443711041827503e-05, | |
| "loss": 0.0061, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 3.616775682954983, | |
| "eval_loss": 0.03987393528223038, | |
| "eval_runtime": 182.164, | |
| "eval_samples_per_second": 6.346, | |
| "eval_steps_per_second": 6.346, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 3.6321662177760676, | |
| "grad_norm": 0.2530272603034973, | |
| "learning_rate": 2.1003794243174252e-05, | |
| "loss": 0.0145, | |
| "step": 2360 | |
| }, | |
| { | |
| "epoch": 3.647556752597153, | |
| "grad_norm": 0.28562411665916443, | |
| "learning_rate": 2.0567233823759886e-05, | |
| "loss": 0.0088, | |
| "step": 2370 | |
| }, | |
| { | |
| "epoch": 3.6629472874182376, | |
| "grad_norm": 0.18049819767475128, | |
| "learning_rate": 2.0134080316483113e-05, | |
| "loss": 0.0095, | |
| "step": 2380 | |
| }, | |
| { | |
| "epoch": 3.678337822239323, | |
| "grad_norm": 0.21345478296279907, | |
| "learning_rate": 1.970438385988452e-05, | |
| "loss": 0.0118, | |
| "step": 2390 | |
| }, | |
| { | |
| "epoch": 3.693728357060408, | |
| "grad_norm": 0.13870681822299957, | |
| "learning_rate": 1.927819419234292e-05, | |
| "loss": 0.0132, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 3.693728357060408, | |
| "eval_loss": 0.036747824400663376, | |
| "eval_runtime": 182.5195, | |
| "eval_samples_per_second": 6.334, | |
| "eval_steps_per_second": 6.334, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 3.709118891881493, | |
| "grad_norm": 0.03900235891342163, | |
| "learning_rate": 1.885556064631801e-05, | |
| "loss": 0.0083, | |
| "step": 2410 | |
| }, | |
| { | |
| "epoch": 3.724509426702578, | |
| "grad_norm": 0.07937924563884735, | |
| "learning_rate": 1.843653214264003e-05, | |
| "loss": 0.0068, | |
| "step": 2420 | |
| }, | |
| { | |
| "epoch": 3.7398999615236628, | |
| "grad_norm": 0.03925955668091774, | |
| "learning_rate": 1.8021157184847087e-05, | |
| "loss": 0.0097, | |
| "step": 2430 | |
| }, | |
| { | |
| "epoch": 3.755290496344748, | |
| "grad_norm": 0.33661210536956787, | |
| "learning_rate": 1.7609483853570668e-05, | |
| "loss": 0.006, | |
| "step": 2440 | |
| }, | |
| { | |
| "epoch": 3.770681031165833, | |
| "grad_norm": 0.024305246770381927, | |
| "learning_rate": 1.720155980097034e-05, | |
| "loss": 0.0066, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 3.770681031165833, | |
| "eval_loss": 0.03801007568836212, | |
| "eval_runtime": 182.2954, | |
| "eval_samples_per_second": 6.341, | |
| "eval_steps_per_second": 6.341, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 3.786071565986918, | |
| "grad_norm": 0.2657100558280945, | |
| "learning_rate": 1.6797432245217736e-05, | |
| "loss": 0.0075, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 3.801462100808003, | |
| "grad_norm": 0.4867688715457916, | |
| "learning_rate": 1.6397147965031072e-05, | |
| "loss": 0.0051, | |
| "step": 2470 | |
| }, | |
| { | |
| "epoch": 3.816852635629088, | |
| "grad_norm": 0.18266838788986206, | |
| "learning_rate": 1.600075329426033e-05, | |
| "loss": 0.0117, | |
| "step": 2480 | |
| }, | |
| { | |
| "epoch": 3.832243170450173, | |
| "grad_norm": 0.9398632049560547, | |
| "learning_rate": 1.560829411652403e-05, | |
| "loss": 0.0092, | |
| "step": 2490 | |
| }, | |
| { | |
| "epoch": 3.8476337052712584, | |
| "grad_norm": 0.09116644412279129, | |
| "learning_rate": 1.521981585989809e-05, | |
| "loss": 0.0076, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.8476337052712584, | |
| "eval_loss": 0.03867095336318016, | |
| "eval_runtime": 182.6346, | |
| "eval_samples_per_second": 6.33, | |
| "eval_steps_per_second": 6.33, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.863024240092343, | |
| "grad_norm": 0.4438709318637848, | |
| "learning_rate": 1.4835363491657412e-05, | |
| "loss": 0.0104, | |
| "step": 2510 | |
| }, | |
| { | |
| "epoch": 3.8784147749134283, | |
| "grad_norm": 0.2803715169429779, | |
| "learning_rate": 1.4454981513070791e-05, | |
| "loss": 0.0043, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 3.893805309734513, | |
| "grad_norm": 0.05800764635205269, | |
| "learning_rate": 1.4078713954249873e-05, | |
| "loss": 0.0057, | |
| "step": 2530 | |
| }, | |
| { | |
| "epoch": 3.9091958445555983, | |
| "grad_norm": 0.08257286995649338, | |
| "learning_rate": 1.3706604369052434e-05, | |
| "loss": 0.0039, | |
| "step": 2540 | |
| }, | |
| { | |
| "epoch": 3.9245863793766835, | |
| "grad_norm": 0.6039398312568665, | |
| "learning_rate": 1.3338695830041047e-05, | |
| "loss": 0.0087, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 3.9245863793766835, | |
| "eval_loss": 0.0398300401866436, | |
| "eval_runtime": 182.752, | |
| "eval_samples_per_second": 6.326, | |
| "eval_steps_per_second": 6.326, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 3.9399769141977683, | |
| "grad_norm": 0.4885454773902893, | |
| "learning_rate": 1.2975030923497262e-05, | |
| "loss": 0.0072, | |
| "step": 2560 | |
| }, | |
| { | |
| "epoch": 3.9553674490188535, | |
| "grad_norm": 0.6458340287208557, | |
| "learning_rate": 1.2615651744492151e-05, | |
| "loss": 0.0065, | |
| "step": 2570 | |
| }, | |
| { | |
| "epoch": 3.9707579838399383, | |
| "grad_norm": 0.018503481522202492, | |
| "learning_rate": 1.2260599892013719e-05, | |
| "loss": 0.0118, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 3.9861485186610235, | |
| "grad_norm": 0.2634695768356323, | |
| "learning_rate": 1.1909916464151715e-05, | |
| "loss": 0.0082, | |
| "step": 2590 | |
| }, | |
| { | |
| "epoch": 4.001539053482109, | |
| "grad_norm": 0.08771725744009018, | |
| "learning_rate": 1.1563642053340406e-05, | |
| "loss": 0.0094, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.001539053482109, | |
| "eval_loss": 0.03990135341882706, | |
| "eval_runtime": 182.5063, | |
| "eval_samples_per_second": 6.334, | |
| "eval_steps_per_second": 6.334, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.016929588303194, | |
| "grad_norm": 0.041795965284109116, | |
| "learning_rate": 1.1221816741659964e-05, | |
| "loss": 0.0036, | |
| "step": 2610 | |
| }, | |
| { | |
| "epoch": 4.032320123124278, | |
| "grad_norm": 0.15982815623283386, | |
| "learning_rate": 1.0884480096196803e-05, | |
| "loss": 0.0024, | |
| "step": 2620 | |
| }, | |
| { | |
| "epoch": 4.047710657945363, | |
| "grad_norm": 0.14116846024990082, | |
| "learning_rate": 1.0551671164463666e-05, | |
| "loss": 0.002, | |
| "step": 2630 | |
| }, | |
| { | |
| "epoch": 4.063101192766449, | |
| "grad_norm": 0.029664216563105583, | |
| "learning_rate": 1.0223428469879736e-05, | |
| "loss": 0.0054, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 4.078491727587534, | |
| "grad_norm": 0.02512684278190136, | |
| "learning_rate": 9.899790007311455e-06, | |
| "loss": 0.0024, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 4.078491727587534, | |
| "eval_loss": 0.041614893823862076, | |
| "eval_runtime": 182.6617, | |
| "eval_samples_per_second": 6.329, | |
| "eval_steps_per_second": 6.329, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 4.093882262408619, | |
| "grad_norm": 0.17406991124153137, | |
| "learning_rate": 9.580793238674573e-06, | |
| "loss": 0.0051, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 4.109272797229703, | |
| "grad_norm": 0.08610302209854126, | |
| "learning_rate": 9.266475088597781e-06, | |
| "loss": 0.0024, | |
| "step": 2670 | |
| }, | |
| { | |
| "epoch": 4.124663332050789, | |
| "grad_norm": 0.04503106325864792, | |
| "learning_rate": 8.956871940148681e-06, | |
| "loss": 0.0029, | |
| "step": 2680 | |
| }, | |
| { | |
| "epoch": 4.140053866871874, | |
| "grad_norm": 0.06606682389974594, | |
| "learning_rate": 8.65201963062225e-06, | |
| "loss": 0.0051, | |
| "step": 2690 | |
| }, | |
| { | |
| "epoch": 4.155444401692959, | |
| "grad_norm": 0.06268336623907089, | |
| "learning_rate": 8.351953447392674e-06, | |
| "loss": 0.0077, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 4.155444401692959, | |
| "eval_loss": 0.04621283337473869, | |
| "eval_runtime": 182.3492, | |
| "eval_samples_per_second": 6.339, | |
| "eval_steps_per_second": 6.339, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 4.170834936514044, | |
| "grad_norm": 0.050343628972768784, | |
| "learning_rate": 8.056708123828738e-06, | |
| "loss": 0.0037, | |
| "step": 2710 | |
| }, | |
| { | |
| "epoch": 4.186225471335129, | |
| "grad_norm": 0.10917084664106369, | |
| "learning_rate": 7.76631783527334e-06, | |
| "loss": 0.008, | |
| "step": 2720 | |
| }, | |
| { | |
| "epoch": 4.201616006156214, | |
| "grad_norm": 0.09494730085134506, | |
| "learning_rate": 7.4808161950876145e-06, | |
| "loss": 0.0039, | |
| "step": 2730 | |
| }, | |
| { | |
| "epoch": 4.217006540977299, | |
| "grad_norm": 0.06835534423589706, | |
| "learning_rate": 7.200236250760111e-06, | |
| "loss": 0.004, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 4.232397075798384, | |
| "grad_norm": 0.09156963229179382, | |
| "learning_rate": 6.924610480081478e-06, | |
| "loss": 0.0018, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 4.232397075798384, | |
| "eval_loss": 0.04548865929245949, | |
| "eval_runtime": 183.0184, | |
| "eval_samples_per_second": 6.316, | |
| "eval_steps_per_second": 6.316, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 4.247787610619469, | |
| "grad_norm": 0.09536194801330566, | |
| "learning_rate": 6.6539707873850774e-06, | |
| "loss": 0.0019, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 4.263178145440554, | |
| "grad_norm": 0.11849187314510345, | |
| "learning_rate": 6.3883484998539525e-06, | |
| "loss": 0.0021, | |
| "step": 2770 | |
| }, | |
| { | |
| "epoch": 4.278568680261639, | |
| "grad_norm": 0.14611715078353882, | |
| "learning_rate": 6.127774363894667e-06, | |
| "loss": 0.0027, | |
| "step": 2780 | |
| }, | |
| { | |
| "epoch": 4.293959215082724, | |
| "grad_norm": 0.1069348007440567, | |
| "learning_rate": 5.872278541578352e-06, | |
| "loss": 0.0034, | |
| "step": 2790 | |
| }, | |
| { | |
| "epoch": 4.309349749903809, | |
| "grad_norm": 0.06568971276283264, | |
| "learning_rate": 5.6218906071493275e-06, | |
| "loss": 0.0021, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 4.309349749903809, | |
| "eval_loss": 0.04689283296465874, | |
| "eval_runtime": 182.6389, | |
| "eval_samples_per_second": 6.329, | |
| "eval_steps_per_second": 6.329, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 4.324740284724895, | |
| "grad_norm": 0.08502360433340073, | |
| "learning_rate": 5.376639543601858e-06, | |
| "loss": 0.0029, | |
| "step": 2810 | |
| }, | |
| { | |
| "epoch": 4.340130819545979, | |
| "grad_norm": 0.020981520414352417, | |
| "learning_rate": 5.136553739325256e-06, | |
| "loss": 0.0015, | |
| "step": 2820 | |
| }, | |
| { | |
| "epoch": 4.355521354367064, | |
| "grad_norm": 0.06051165983080864, | |
| "learning_rate": 4.901660984817908e-06, | |
| "loss": 0.0021, | |
| "step": 2830 | |
| }, | |
| { | |
| "epoch": 4.370911889188149, | |
| "grad_norm": 0.03838418796658516, | |
| "learning_rate": 4.671988469470434e-06, | |
| "loss": 0.0024, | |
| "step": 2840 | |
| }, | |
| { | |
| "epoch": 4.3863024240092345, | |
| "grad_norm": 0.02361064776778221, | |
| "learning_rate": 4.447562778418435e-06, | |
| "loss": 0.0026, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 4.3863024240092345, | |
| "eval_loss": 0.048040326684713364, | |
| "eval_runtime": 182.6191, | |
| "eval_samples_per_second": 6.33, | |
| "eval_steps_per_second": 6.33, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 4.40169295883032, | |
| "grad_norm": 0.21955329179763794, | |
| "learning_rate": 4.228409889465218e-06, | |
| "loss": 0.0022, | |
| "step": 2860 | |
| }, | |
| { | |
| "epoch": 4.417083493651404, | |
| "grad_norm": 0.04029189795255661, | |
| "learning_rate": 4.014555170074824e-06, | |
| "loss": 0.0013, | |
| "step": 2870 | |
| }, | |
| { | |
| "epoch": 4.432474028472489, | |
| "grad_norm": 0.02981954626739025, | |
| "learning_rate": 3.8060233744356633e-06, | |
| "loss": 0.0074, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 4.4478645632935745, | |
| "grad_norm": 0.017013270407915115, | |
| "learning_rate": 3.602838640595152e-06, | |
| "loss": 0.0039, | |
| "step": 2890 | |
| }, | |
| { | |
| "epoch": 4.46325509811466, | |
| "grad_norm": 0.2801615595817566, | |
| "learning_rate": 3.4050244876656866e-06, | |
| "loss": 0.0043, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 4.46325509811466, | |
| "eval_loss": 0.04885905236005783, | |
| "eval_runtime": 182.3966, | |
| "eval_samples_per_second": 6.338, | |
| "eval_steps_per_second": 6.338, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 4.478645632935745, | |
| "grad_norm": 0.03359270840883255, | |
| "learning_rate": 3.2126038131022552e-06, | |
| "loss": 0.0073, | |
| "step": 2910 | |
| }, | |
| { | |
| "epoch": 4.494036167756829, | |
| "grad_norm": 0.12972494959831238, | |
| "learning_rate": 3.025598890051995e-06, | |
| "loss": 0.0041, | |
| "step": 2920 | |
| }, | |
| { | |
| "epoch": 4.5094267025779144, | |
| "grad_norm": 0.05984209477901459, | |
| "learning_rate": 2.8440313647760288e-06, | |
| "loss": 0.0033, | |
| "step": 2930 | |
| }, | |
| { | |
| "epoch": 4.524817237399, | |
| "grad_norm": 0.4022550880908966, | |
| "learning_rate": 2.6679222541438397e-06, | |
| "loss": 0.0058, | |
| "step": 2940 | |
| }, | |
| { | |
| "epoch": 4.540207772220085, | |
| "grad_norm": 0.05884170159697533, | |
| "learning_rate": 2.4972919432005582e-06, | |
| "loss": 0.0018, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 4.540207772220085, | |
| "eval_loss": 0.047888416796922684, | |
| "eval_runtime": 182.5315, | |
| "eval_samples_per_second": 6.333, | |
| "eval_steps_per_second": 6.333, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 4.555598307041169, | |
| "grad_norm": 0.28109657764434814, | |
| "learning_rate": 2.3321601828073135e-06, | |
| "loss": 0.0011, | |
| "step": 2960 | |
| }, | |
| { | |
| "epoch": 4.570988841862254, | |
| "grad_norm": 0.15115970373153687, | |
| "learning_rate": 2.1725460873550317e-06, | |
| "loss": 0.0072, | |
| "step": 2970 | |
| }, | |
| { | |
| "epoch": 4.58637937668334, | |
| "grad_norm": 0.08594682067632675, | |
| "learning_rate": 2.0184681325519096e-06, | |
| "loss": 0.0023, | |
| "step": 2980 | |
| }, | |
| { | |
| "epoch": 4.601769911504425, | |
| "grad_norm": 0.48176631331443787, | |
| "learning_rate": 1.869944153284786e-06, | |
| "loss": 0.0043, | |
| "step": 2990 | |
| }, | |
| { | |
| "epoch": 4.61716044632551, | |
| "grad_norm": 0.0299384705722332, | |
| "learning_rate": 1.7269913415547456e-06, | |
| "loss": 0.0034, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.61716044632551, | |
| "eval_loss": 0.04794705659151077, | |
| "eval_runtime": 182.5327, | |
| "eval_samples_per_second": 6.333, | |
| "eval_steps_per_second": 6.333, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.632550981146595, | |
| "grad_norm": 0.1159643605351448, | |
| "learning_rate": 1.589626244487069e-06, | |
| "loss": 0.0026, | |
| "step": 3010 | |
| }, | |
| { | |
| "epoch": 4.64794151596768, | |
| "grad_norm": 0.31304869055747986, | |
| "learning_rate": 1.4578647624158726e-06, | |
| "loss": 0.0031, | |
| "step": 3020 | |
| }, | |
| { | |
| "epoch": 4.663332050788765, | |
| "grad_norm": 0.2677801847457886, | |
| "learning_rate": 1.3317221470436293e-06, | |
| "loss": 0.0051, | |
| "step": 3030 | |
| }, | |
| { | |
| "epoch": 4.67872258560985, | |
| "grad_norm": 0.09320933371782303, | |
| "learning_rate": 1.2112129996757315e-06, | |
| "loss": 0.0036, | |
| "step": 3040 | |
| }, | |
| { | |
| "epoch": 4.694113120430935, | |
| "grad_norm": 0.0045815082266926765, | |
| "learning_rate": 1.0963512695303546e-06, | |
| "loss": 0.0037, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 4.694113120430935, | |
| "eval_loss": 0.048097576946020126, | |
| "eval_runtime": 182.8076, | |
| "eval_samples_per_second": 6.324, | |
| "eval_steps_per_second": 6.324, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 4.7095036552520195, | |
| "grad_norm": 0.06252841651439667, | |
| "learning_rate": 9.871502521237975e-07, | |
| "loss": 0.0021, | |
| "step": 3060 | |
| }, | |
| { | |
| "epoch": 4.724894190073105, | |
| "grad_norm": 0.497509628534317, | |
| "learning_rate": 8.83622587731514e-07, | |
| "loss": 0.0031, | |
| "step": 3070 | |
| }, | |
| { | |
| "epoch": 4.74028472489419, | |
| "grad_norm": 0.37336939573287964, | |
| "learning_rate": 7.857802599249564e-07, | |
| "loss": 0.0078, | |
| "step": 3080 | |
| }, | |
| { | |
| "epoch": 4.755675259715275, | |
| "grad_norm": 0.21054156124591827, | |
| "learning_rate": 6.936345941844335e-07, | |
| "loss": 0.0028, | |
| "step": 3090 | |
| }, | |
| { | |
| "epoch": 4.77106579453636, | |
| "grad_norm": 0.05313187092542648, | |
| "learning_rate": 6.071962565881939e-07, | |
| "loss": 0.0037, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 4.77106579453636, | |
| "eval_loss": 0.048036374151706696, | |
| "eval_runtime": 182.2974, | |
| "eval_samples_per_second": 6.341, | |
| "eval_steps_per_second": 6.341, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 4.786456329357446, | |
| "grad_norm": 0.10948553681373596, | |
| "learning_rate": 5.264752525777961e-07, | |
| "loss": 0.0073, | |
| "step": 3110 | |
| }, | |
| { | |
| "epoch": 4.80184686417853, | |
| "grad_norm": 0.09476953744888306, | |
| "learning_rate": 4.5148092579991863e-07, | |
| "loss": 0.0039, | |
| "step": 3120 | |
| }, | |
| { | |
| "epoch": 4.817237398999615, | |
| "grad_norm": 0.005633699707686901, | |
| "learning_rate": 3.822219570248531e-07, | |
| "loss": 0.006, | |
| "step": 3130 | |
| }, | |
| { | |
| "epoch": 4.8326279338207, | |
| "grad_norm": 0.024644823744893074, | |
| "learning_rate": 3.187063631416742e-07, | |
| "loss": 0.002, | |
| "step": 3140 | |
| }, | |
| { | |
| "epoch": 4.8480184686417855, | |
| "grad_norm": 0.07547037303447723, | |
| "learning_rate": 2.6094149623024365e-07, | |
| "loss": 0.0036, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 4.8480184686417855, | |
| "eval_loss": 0.04801381751894951, | |
| "eval_runtime": 180.6529, | |
| "eval_samples_per_second": 6.399, | |
| "eval_steps_per_second": 6.399, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 4.86340900346287, | |
| "grad_norm": 0.027425028383731842, | |
| "learning_rate": 2.0893404271022376e-07, | |
| "loss": 0.003, | |
| "step": 3160 | |
| }, | |
| { | |
| "epoch": 4.878799538283955, | |
| "grad_norm": 0.15399925410747528, | |
| "learning_rate": 1.626900225670691e-07, | |
| "loss": 0.003, | |
| "step": 3170 | |
| }, | |
| { | |
| "epoch": 4.89419007310504, | |
| "grad_norm": 0.17350825667381287, | |
| "learning_rate": 1.2221478865524493e-07, | |
| "loss": 0.0026, | |
| "step": 3180 | |
| }, | |
| { | |
| "epoch": 4.9095806079261255, | |
| "grad_norm": 0.01795775815844536, | |
| "learning_rate": 8.751302607857836e-08, | |
| "loss": 0.0045, | |
| "step": 3190 | |
| }, | |
| { | |
| "epoch": 4.924971142747211, | |
| "grad_norm": 0.02166036330163479, | |
| "learning_rate": 5.8588751647975506e-08, | |
| "loss": 0.0027, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 4.924971142747211, | |
| "eval_loss": 0.04795505106449127, | |
| "eval_runtime": 180.5439, | |
| "eval_samples_per_second": 6.403, | |
| "eval_steps_per_second": 6.403, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 4.940361677568296, | |
| "grad_norm": 0.02288454957306385, | |
| "learning_rate": 3.544531341646007e-08, | |
| "loss": 0.0031, | |
| "step": 3210 | |
| }, | |
| { | |
| "epoch": 4.95575221238938, | |
| "grad_norm": 0.04133681207895279, | |
| "learning_rate": 1.808539029161116e-08, | |
| "loss": 0.0019, | |
| "step": 3220 | |
| }, | |
| { | |
| "epoch": 4.9711427472104655, | |
| "grad_norm": 0.041048236191272736, | |
| "learning_rate": 6.510991725500182e-09, | |
| "loss": 0.0055, | |
| "step": 3230 | |
| }, | |
| { | |
| "epoch": 4.986533282031551, | |
| "grad_norm": 0.051259420812129974, | |
| "learning_rate": 7.234574820769169e-10, | |
| "loss": 0.0017, | |
| "step": 3240 | |
| }, | |
| { | |
| "epoch": 4.994228549442093, | |
| "step": 3245, | |
| "total_flos": 8.169046237996646e+17, | |
| "train_loss": 0.03529967672029404, | |
| "train_runtime": 40405.575, | |
| "train_samples_per_second": 1.286, | |
| "train_steps_per_second": 0.08 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 3245, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 50, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 8.169046237996646e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |