| { | |
| "best_metric": 0.06347225606441498, | |
| "best_model_checkpoint": "/kaggle/working/Model/google-vit-base-patch16-384-batch_16_epoch_4_classes_24/checkpoint-3600", | |
| "epoch": 4.0, | |
| "eval_steps": 100, | |
| "global_step": 5744, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 7.608365058898926, | |
| "learning_rate": 0.00019965181058495822, | |
| "loss": 2.6683, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 5.99545955657959, | |
| "learning_rate": 0.00019930362116991646, | |
| "loss": 1.3199, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 7.903165817260742, | |
| "learning_rate": 0.00019895543175487465, | |
| "loss": 0.6993, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 6.235982418060303, | |
| "learning_rate": 0.00019860724233983288, | |
| "loss": 0.4142, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 5.177570819854736, | |
| "learning_rate": 0.0001982590529247911, | |
| "loss": 0.5028, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 3.7044296264648438, | |
| "learning_rate": 0.00019791086350974934, | |
| "loss": 0.3604, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 6.362403392791748, | |
| "learning_rate": 0.00019756267409470752, | |
| "loss": 0.2577, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 4.817968845367432, | |
| "learning_rate": 0.00019721448467966573, | |
| "loss": 0.1792, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 8.561410903930664, | |
| "learning_rate": 0.00019686629526462397, | |
| "loss": 0.4319, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 4.326521873474121, | |
| "learning_rate": 0.00019651810584958218, | |
| "loss": 0.2947, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_accuracy": 0.9353448275862069, | |
| "eval_loss": 0.24909386038780212, | |
| "eval_runtime": 39.0896, | |
| "eval_samples_per_second": 17.805, | |
| "eval_steps_per_second": 2.226, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 5.267539978027344, | |
| "learning_rate": 0.0001961699164345404, | |
| "loss": 0.2, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 0.16868898272514343, | |
| "learning_rate": 0.0001958217270194986, | |
| "loss": 0.1645, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 3.9674816131591797, | |
| "learning_rate": 0.00019547353760445685, | |
| "loss": 0.1851, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 2.389801025390625, | |
| "learning_rate": 0.00019512534818941506, | |
| "loss": 0.1896, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 2.4343678951263428, | |
| "learning_rate": 0.00019477715877437327, | |
| "loss": 0.302, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 5.64504861831665, | |
| "learning_rate": 0.00019442896935933148, | |
| "loss": 0.291, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 2.4216318130493164, | |
| "learning_rate": 0.0001940807799442897, | |
| "loss": 0.1888, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 4.917649269104004, | |
| "learning_rate": 0.00019373259052924793, | |
| "loss": 0.2216, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 7.220677852630615, | |
| "learning_rate": 0.00019338440111420614, | |
| "loss": 0.2315, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 2.801267147064209, | |
| "learning_rate": 0.00019303621169916436, | |
| "loss": 0.1703, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_accuracy": 0.9339080459770115, | |
| "eval_loss": 0.23769310116767883, | |
| "eval_runtime": 35.6997, | |
| "eval_samples_per_second": 19.496, | |
| "eval_steps_per_second": 2.437, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 3.5499558448791504, | |
| "learning_rate": 0.00019268802228412257, | |
| "loss": 0.2146, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 4.020380020141602, | |
| "learning_rate": 0.0001923398328690808, | |
| "loss": 0.4034, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 4.2459611892700195, | |
| "learning_rate": 0.00019199164345403902, | |
| "loss": 0.2545, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 0.17939189076423645, | |
| "learning_rate": 0.0001916434540389972, | |
| "loss": 0.0967, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 1.2918466329574585, | |
| "learning_rate": 0.00019129526462395544, | |
| "loss": 0.1047, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.19346456229686737, | |
| "learning_rate": 0.00019094707520891365, | |
| "loss": 0.1653, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 3.239362955093384, | |
| "learning_rate": 0.0001905988857938719, | |
| "loss": 0.2189, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 0.44739365577697754, | |
| "learning_rate": 0.00019025069637883008, | |
| "loss": 0.3003, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 1.6296844482421875, | |
| "learning_rate": 0.00018990250696378832, | |
| "loss": 0.1217, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 0.19472052156925201, | |
| "learning_rate": 0.00018955431754874653, | |
| "loss": 0.0797, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_accuracy": 0.9640804597701149, | |
| "eval_loss": 0.14126166701316833, | |
| "eval_runtime": 35.5893, | |
| "eval_samples_per_second": 19.556, | |
| "eval_steps_per_second": 2.445, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 3.6157753467559814, | |
| "learning_rate": 0.00018920612813370474, | |
| "loss": 0.2083, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 2.2029290199279785, | |
| "learning_rate": 0.00018885793871866295, | |
| "loss": 0.0689, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 2.600524663925171, | |
| "learning_rate": 0.00018850974930362116, | |
| "loss": 0.1281, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 5.636768817901611, | |
| "learning_rate": 0.0001881615598885794, | |
| "loss": 0.1777, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 1.280453085899353, | |
| "learning_rate": 0.00018781337047353762, | |
| "loss": 0.1184, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 11.173064231872559, | |
| "learning_rate": 0.00018746518105849583, | |
| "loss": 0.1703, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 1.2499542236328125, | |
| "learning_rate": 0.00018711699164345404, | |
| "loss": 0.1653, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 2.3910412788391113, | |
| "learning_rate": 0.00018676880222841225, | |
| "loss": 0.4659, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 1.7442002296447754, | |
| "learning_rate": 0.0001864206128133705, | |
| "loss": 0.1462, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 2.4805572032928467, | |
| "learning_rate": 0.0001860724233983287, | |
| "loss": 0.1035, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_accuracy": 0.9640804597701149, | |
| "eval_loss": 0.10567597299814224, | |
| "eval_runtime": 35.7816, | |
| "eval_samples_per_second": 19.451, | |
| "eval_steps_per_second": 2.431, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 3.05641770362854, | |
| "learning_rate": 0.00018572423398328691, | |
| "loss": 0.2023, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 4.117976188659668, | |
| "learning_rate": 0.00018537604456824513, | |
| "loss": 0.2038, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 3.819580554962158, | |
| "learning_rate": 0.00018502785515320337, | |
| "loss": 0.1822, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 0.43668073415756226, | |
| "learning_rate": 0.00018467966573816158, | |
| "loss": 0.142, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 2.4008846282958984, | |
| "learning_rate": 0.0001843314763231198, | |
| "loss": 0.1302, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 0.694020688533783, | |
| "learning_rate": 0.000183983286908078, | |
| "loss": 0.1471, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 3.4394240379333496, | |
| "learning_rate": 0.0001836350974930362, | |
| "loss": 0.0524, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 0.31817400455474854, | |
| "learning_rate": 0.00018328690807799445, | |
| "loss": 0.1666, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 5.899374008178711, | |
| "learning_rate": 0.00018293871866295264, | |
| "loss": 0.3, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 3.5271711349487305, | |
| "learning_rate": 0.00018259052924791088, | |
| "loss": 0.0532, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "eval_accuracy": 0.9482758620689655, | |
| "eval_loss": 0.17112933099269867, | |
| "eval_runtime": 35.7523, | |
| "eval_samples_per_second": 19.467, | |
| "eval_steps_per_second": 2.433, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 7.314517021179199, | |
| "learning_rate": 0.0001822423398328691, | |
| "loss": 0.1091, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 0.5478276014328003, | |
| "learning_rate": 0.00018189415041782733, | |
| "loss": 0.2114, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 0.8942975997924805, | |
| "learning_rate": 0.0001815459610027855, | |
| "loss": 0.1946, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 2.3088340759277344, | |
| "learning_rate": 0.00018119777158774372, | |
| "loss": 0.1564, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 2.6240744590759277, | |
| "learning_rate": 0.00018084958217270196, | |
| "loss": 0.0936, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 0.7066690921783447, | |
| "learning_rate": 0.00018050139275766017, | |
| "loss": 0.0437, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 10.780313491821289, | |
| "learning_rate": 0.0001801532033426184, | |
| "loss": 0.1595, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 3.528925657272339, | |
| "learning_rate": 0.0001798050139275766, | |
| "loss": 0.1321, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 0.18334412574768066, | |
| "learning_rate": 0.00017945682451253484, | |
| "loss": 0.1395, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 7.294697284698486, | |
| "learning_rate": 0.00017910863509749305, | |
| "loss": 0.1004, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_accuracy": 0.9525862068965517, | |
| "eval_loss": 0.174613818526268, | |
| "eval_runtime": 36.2243, | |
| "eval_samples_per_second": 19.214, | |
| "eval_steps_per_second": 2.402, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 2.1188316345214844, | |
| "learning_rate": 0.00017876044568245126, | |
| "loss": 0.2278, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 0.3354647755622864, | |
| "learning_rate": 0.00017841225626740947, | |
| "loss": 0.1387, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 0.039503831416368484, | |
| "learning_rate": 0.00017806406685236768, | |
| "loss": 0.0835, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 0.021547358483076096, | |
| "learning_rate": 0.00017771587743732592, | |
| "loss": 0.0939, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 8.863506317138672, | |
| "learning_rate": 0.00017736768802228414, | |
| "loss": 0.1468, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 0.39873701333999634, | |
| "learning_rate": 0.00017701949860724235, | |
| "loss": 0.0403, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 0.014231318607926369, | |
| "learning_rate": 0.00017667130919220056, | |
| "loss": 0.2571, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 5.528050899505615, | |
| "learning_rate": 0.0001763231197771588, | |
| "loss": 0.0652, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 0.15766894817352295, | |
| "learning_rate": 0.000175974930362117, | |
| "loss": 0.1783, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 1.2292269468307495, | |
| "learning_rate": 0.0001756267409470752, | |
| "loss": 0.0962, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.9554597701149425, | |
| "eval_loss": 0.15980468690395355, | |
| "eval_runtime": 35.7953, | |
| "eval_samples_per_second": 19.444, | |
| "eval_steps_per_second": 2.43, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 3.254995584487915, | |
| "learning_rate": 0.00017527855153203343, | |
| "loss": 0.0357, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 6.948057651519775, | |
| "learning_rate": 0.00017493036211699165, | |
| "loss": 0.1107, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 9.733255386352539, | |
| "learning_rate": 0.00017458217270194989, | |
| "loss": 0.1582, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 0.013814004138112068, | |
| "learning_rate": 0.00017423398328690807, | |
| "loss": 0.0915, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 0.37093743681907654, | |
| "learning_rate": 0.0001738857938718663, | |
| "loss": 0.0646, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 7.888106346130371, | |
| "learning_rate": 0.00017353760445682452, | |
| "loss": 0.0698, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 0.17707830667495728, | |
| "learning_rate": 0.00017318941504178273, | |
| "loss": 0.2098, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 0.0932948887348175, | |
| "learning_rate": 0.00017284122562674097, | |
| "loss": 0.0913, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 2.9526076316833496, | |
| "learning_rate": 0.00017249303621169916, | |
| "loss": 0.0578, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 0.7513306140899658, | |
| "learning_rate": 0.0001721448467966574, | |
| "loss": 0.1579, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "eval_accuracy": 0.9439655172413793, | |
| "eval_loss": 0.1741354912519455, | |
| "eval_runtime": 35.7323, | |
| "eval_samples_per_second": 19.478, | |
| "eval_steps_per_second": 2.435, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 0.912064790725708, | |
| "learning_rate": 0.0001717966573816156, | |
| "loss": 0.111, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 4.864778995513916, | |
| "learning_rate": 0.00017144846796657385, | |
| "loss": 0.1486, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 0.14718465507030487, | |
| "learning_rate": 0.00017110027855153203, | |
| "loss": 0.1166, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 0.20318205654621124, | |
| "learning_rate": 0.00017075208913649024, | |
| "loss": 0.1693, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 0.11161267757415771, | |
| "learning_rate": 0.00017040389972144848, | |
| "loss": 0.3625, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 4.465303421020508, | |
| "learning_rate": 0.0001700557103064067, | |
| "loss": 0.1, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 0.1702408641576767, | |
| "learning_rate": 0.0001697075208913649, | |
| "loss": 0.1512, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 0.1287883222103119, | |
| "learning_rate": 0.00016935933147632312, | |
| "loss": 0.1398, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 5.473878860473633, | |
| "learning_rate": 0.00016901114206128136, | |
| "loss": 0.1271, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 0.7570542097091675, | |
| "learning_rate": 0.00016866295264623957, | |
| "loss": 0.0532, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "eval_accuracy": 0.9669540229885057, | |
| "eval_loss": 0.09742401540279388, | |
| "eval_runtime": 35.6843, | |
| "eval_samples_per_second": 19.504, | |
| "eval_steps_per_second": 2.438, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 0.47937777638435364, | |
| "learning_rate": 0.00016831476323119778, | |
| "loss": 0.0376, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 0.07491227984428406, | |
| "learning_rate": 0.000167966573816156, | |
| "loss": 0.0845, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 1.6370360851287842, | |
| "learning_rate": 0.0001676183844011142, | |
| "loss": 0.0426, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 0.40192294120788574, | |
| "learning_rate": 0.00016727019498607244, | |
| "loss": 0.0985, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 0.27094128727912903, | |
| "learning_rate": 0.00016692200557103066, | |
| "loss": 0.1015, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 0.04987002909183502, | |
| "learning_rate": 0.00016657381615598887, | |
| "loss": 0.1305, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 8.257625579833984, | |
| "learning_rate": 0.00016622562674094708, | |
| "loss": 0.359, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 1.3513457775115967, | |
| "learning_rate": 0.00016587743732590532, | |
| "loss": 0.1196, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 0.744544506072998, | |
| "learning_rate": 0.00016552924791086353, | |
| "loss": 0.1392, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 2.7153432369232178, | |
| "learning_rate": 0.00016518105849582171, | |
| "loss": 0.1594, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "eval_accuracy": 0.9181034482758621, | |
| "eval_loss": 0.28419315814971924, | |
| "eval_runtime": 35.8256, | |
| "eval_samples_per_second": 19.427, | |
| "eval_steps_per_second": 2.428, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 2.401228666305542, | |
| "learning_rate": 0.00016483286908077995, | |
| "loss": 0.1808, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "grad_norm": 0.6505862474441528, | |
| "learning_rate": 0.00016448467966573817, | |
| "loss": 0.135, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 3.2271783351898193, | |
| "learning_rate": 0.0001641364902506964, | |
| "loss": 0.0702, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 1.8183447122573853, | |
| "learning_rate": 0.0001637883008356546, | |
| "loss": 0.0763, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 11.863089561462402, | |
| "learning_rate": 0.00016344011142061283, | |
| "loss": 0.1261, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 0.03473610803484917, | |
| "learning_rate": 0.00016309192200557104, | |
| "loss": 0.118, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 0.3610630929470062, | |
| "learning_rate": 0.00016274373259052925, | |
| "loss": 0.0383, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 0.0649971142411232, | |
| "learning_rate": 0.00016239554317548746, | |
| "loss": 0.0616, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 0.01660127006471157, | |
| "learning_rate": 0.00016204735376044568, | |
| "loss": 0.1321, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 2.6202359199523926, | |
| "learning_rate": 0.00016169916434540392, | |
| "loss": 0.0488, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.9224137931034483, | |
| "eval_loss": 0.29275649785995483, | |
| "eval_runtime": 35.6698, | |
| "eval_samples_per_second": 19.512, | |
| "eval_steps_per_second": 2.439, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 7.814648628234863, | |
| "learning_rate": 0.00016135097493036213, | |
| "loss": 0.2168, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 0.07795737683773041, | |
| "learning_rate": 0.00016100278551532034, | |
| "loss": 0.1589, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 9.246214866638184, | |
| "learning_rate": 0.00016065459610027855, | |
| "loss": 0.0448, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 1.6626620292663574, | |
| "learning_rate": 0.00016030640668523676, | |
| "loss": 0.0533, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 0.2033206671476364, | |
| "learning_rate": 0.000159958217270195, | |
| "loss": 0.06, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 3.868011236190796, | |
| "learning_rate": 0.00015961002785515321, | |
| "loss": 0.1047, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 2.4080984592437744, | |
| "learning_rate": 0.00015926183844011143, | |
| "loss": 0.158, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 0.1310753971338272, | |
| "learning_rate": 0.00015891364902506964, | |
| "loss": 0.0284, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 5.160470008850098, | |
| "learning_rate": 0.00015856545961002788, | |
| "loss": 0.1274, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 11.978700637817383, | |
| "learning_rate": 0.0001582172701949861, | |
| "loss": 0.1122, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "eval_accuracy": 0.9137931034482759, | |
| "eval_loss": 0.30952975153923035, | |
| "eval_runtime": 35.658, | |
| "eval_samples_per_second": 19.519, | |
| "eval_steps_per_second": 2.44, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 3.5138704776763916, | |
| "learning_rate": 0.0001578690807799443, | |
| "loss": 0.1662, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 1.6575515270233154, | |
| "learning_rate": 0.0001575208913649025, | |
| "loss": 0.1419, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 6.337413787841797, | |
| "learning_rate": 0.00015717270194986072, | |
| "loss": 0.1191, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 0.0867462232708931, | |
| "learning_rate": 0.00015682451253481896, | |
| "loss": 0.1029, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 5.1576948165893555, | |
| "learning_rate": 0.00015647632311977715, | |
| "loss": 0.0307, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 0.009300777688622475, | |
| "learning_rate": 0.0001561281337047354, | |
| "loss": 0.0369, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 0.04234935715794563, | |
| "learning_rate": 0.0001557799442896936, | |
| "loss": 0.0172, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 0.0444934107363224, | |
| "learning_rate": 0.00015543175487465184, | |
| "loss": 0.0562, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 0.13354717195034027, | |
| "learning_rate": 0.00015508356545961002, | |
| "loss": 0.0312, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 4.039272785186768, | |
| "learning_rate": 0.00015473537604456823, | |
| "loss": 0.1252, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "eval_accuracy": 0.9568965517241379, | |
| "eval_loss": 0.14112895727157593, | |
| "eval_runtime": 35.6262, | |
| "eval_samples_per_second": 19.536, | |
| "eval_steps_per_second": 2.442, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 0.016441693529486656, | |
| "learning_rate": 0.00015438718662952647, | |
| "loss": 0.1007, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 0.12619511783123016, | |
| "learning_rate": 0.00015403899721448469, | |
| "loss": 0.1028, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 0.022222580388188362, | |
| "learning_rate": 0.00015369080779944292, | |
| "loss": 0.0635, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 7.950347900390625, | |
| "learning_rate": 0.0001533426183844011, | |
| "loss": 0.1184, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 0.8607469201087952, | |
| "learning_rate": 0.00015299442896935935, | |
| "loss": 0.0982, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 1.6757292747497559, | |
| "learning_rate": 0.00015264623955431756, | |
| "loss": 0.0786, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 8.006093978881836, | |
| "learning_rate": 0.00015229805013927577, | |
| "loss": 0.1273, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 0.7346742153167725, | |
| "learning_rate": 0.00015194986072423398, | |
| "loss": 0.1616, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 2.2187693119049072, | |
| "learning_rate": 0.0001516016713091922, | |
| "loss": 0.0447, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 1.1204167604446411, | |
| "learning_rate": 0.00015125348189415043, | |
| "loss": 0.0517, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "eval_accuracy": 0.9683908045977011, | |
| "eval_loss": 0.13779418170452118, | |
| "eval_runtime": 35.6464, | |
| "eval_samples_per_second": 19.525, | |
| "eval_steps_per_second": 2.441, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 0.01675868220627308, | |
| "learning_rate": 0.00015090529247910865, | |
| "loss": 0.0548, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 0.027674928307533264, | |
| "learning_rate": 0.00015055710306406686, | |
| "loss": 0.0635, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.13874393701553345, | |
| "learning_rate": 0.00015020891364902507, | |
| "loss": 0.0405, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 4.346076488494873, | |
| "learning_rate": 0.0001498607242339833, | |
| "loss": 0.0398, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 1.2912051677703857, | |
| "learning_rate": 0.00014951253481894152, | |
| "loss": 0.0062, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 0.05856345221400261, | |
| "learning_rate": 0.0001491643454038997, | |
| "loss": 0.0065, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 3.254682779312134, | |
| "learning_rate": 0.00014881615598885795, | |
| "loss": 0.0765, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "grad_norm": 0.031248953193426132, | |
| "learning_rate": 0.00014846796657381616, | |
| "loss": 0.0622, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 0.13116455078125, | |
| "learning_rate": 0.0001481197771587744, | |
| "loss": 0.0767, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 0.005425759591162205, | |
| "learning_rate": 0.00014777158774373258, | |
| "loss": 0.047, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "eval_accuracy": 0.9482758620689655, | |
| "eval_loss": 0.2595459520816803, | |
| "eval_runtime": 35.615, | |
| "eval_samples_per_second": 19.542, | |
| "eval_steps_per_second": 2.443, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 0.005179308354854584, | |
| "learning_rate": 0.00014742339832869082, | |
| "loss": 0.0226, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "grad_norm": 0.0027408453170210123, | |
| "learning_rate": 0.00014707520891364903, | |
| "loss": 0.0027, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 0.004645737819373608, | |
| "learning_rate": 0.00014672701949860724, | |
| "loss": 0.0195, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 0.0033414452336728573, | |
| "learning_rate": 0.00014637883008356548, | |
| "loss": 0.026, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "grad_norm": 0.005320267751812935, | |
| "learning_rate": 0.00014603064066852367, | |
| "loss": 0.005, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 0.010981897823512554, | |
| "learning_rate": 0.0001456824512534819, | |
| "loss": 0.0015, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 2.1311142444610596, | |
| "learning_rate": 0.00014533426183844012, | |
| "loss": 0.0041, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 4.274787425994873, | |
| "learning_rate": 0.00014498607242339836, | |
| "loss": 0.0626, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 3.3070502281188965, | |
| "learning_rate": 0.00014463788300835654, | |
| "loss": 0.0131, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 6.9698100090026855, | |
| "learning_rate": 0.00014428969359331475, | |
| "loss": 0.0478, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "eval_accuracy": 0.9583333333333334, | |
| "eval_loss": 0.14253316819667816, | |
| "eval_runtime": 36.1253, | |
| "eval_samples_per_second": 19.266, | |
| "eval_steps_per_second": 2.408, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": 5.856411457061768, | |
| "learning_rate": 0.000143941504178273, | |
| "loss": 0.1343, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 0.012498567812144756, | |
| "learning_rate": 0.0001435933147632312, | |
| "loss": 0.0011, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 3.861133575439453, | |
| "learning_rate": 0.00014324512534818942, | |
| "loss": 0.0418, | |
| "step": 1630 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 0.04692409932613373, | |
| "learning_rate": 0.00014289693593314763, | |
| "loss": 0.0013, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 0.024860292673110962, | |
| "learning_rate": 0.00014254874651810587, | |
| "loss": 0.0646, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 0.05027357116341591, | |
| "learning_rate": 0.00014220055710306408, | |
| "loss": 0.0231, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 0.010157397948205471, | |
| "learning_rate": 0.0001418523676880223, | |
| "loss": 0.0695, | |
| "step": 1670 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "grad_norm": 1.822034239768982, | |
| "learning_rate": 0.0001415041782729805, | |
| "loss": 0.0329, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 0.07127121835947037, | |
| "learning_rate": 0.00014115598885793872, | |
| "loss": 0.0189, | |
| "step": 1690 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 0.02665788121521473, | |
| "learning_rate": 0.00014080779944289695, | |
| "loss": 0.0107, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_accuracy": 0.9683908045977011, | |
| "eval_loss": 0.11352017521858215, | |
| "eval_runtime": 36.5799, | |
| "eval_samples_per_second": 19.027, | |
| "eval_steps_per_second": 2.378, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 0.025212422013282776, | |
| "learning_rate": 0.00014045961002785517, | |
| "loss": 0.0591, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 0.021063433960080147, | |
| "learning_rate": 0.00014011142061281338, | |
| "loss": 0.0031, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 0.005293009802699089, | |
| "learning_rate": 0.0001397632311977716, | |
| "loss": 0.0099, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 0.031639717519283295, | |
| "learning_rate": 0.00013941504178272983, | |
| "loss": 0.0018, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "grad_norm": 0.44839808344841003, | |
| "learning_rate": 0.00013906685236768804, | |
| "loss": 0.0218, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 0.039643511176109314, | |
| "learning_rate": 0.00013871866295264623, | |
| "loss": 0.0462, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 0.003339031245559454, | |
| "learning_rate": 0.00013837047353760446, | |
| "loss": 0.0008, | |
| "step": 1770 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 0.009900330565869808, | |
| "learning_rate": 0.00013802228412256268, | |
| "loss": 0.0399, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 4.178069591522217, | |
| "learning_rate": 0.00013767409470752092, | |
| "loss": 0.067, | |
| "step": 1790 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 0.026575196534395218, | |
| "learning_rate": 0.0001373259052924791, | |
| "loss": 0.0021, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "eval_accuracy": 0.9597701149425287, | |
| "eval_loss": 0.14276058971881866, | |
| "eval_runtime": 35.9178, | |
| "eval_samples_per_second": 19.378, | |
| "eval_steps_per_second": 2.422, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 0.005829383619129658, | |
| "learning_rate": 0.00013697771587743734, | |
| "loss": 0.0068, | |
| "step": 1810 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 0.019658759236335754, | |
| "learning_rate": 0.00013662952646239555, | |
| "loss": 0.0008, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 5.781700611114502, | |
| "learning_rate": 0.00013628133704735376, | |
| "loss": 0.0246, | |
| "step": 1830 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 0.789889395236969, | |
| "learning_rate": 0.00013593314763231198, | |
| "loss": 0.009, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "grad_norm": 0.04666072502732277, | |
| "learning_rate": 0.0001355849582172702, | |
| "loss": 0.0059, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 0.002111963462084532, | |
| "learning_rate": 0.00013523676880222843, | |
| "loss": 0.0107, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 0.010087203234434128, | |
| "learning_rate": 0.00013488857938718664, | |
| "loss": 0.0467, | |
| "step": 1870 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 4.08458948135376, | |
| "learning_rate": 0.00013454038997214485, | |
| "loss": 0.0124, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 6.12792444229126, | |
| "learning_rate": 0.00013419220055710306, | |
| "loss": 0.0593, | |
| "step": 1890 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 0.0023462555836886168, | |
| "learning_rate": 0.00013384401114206127, | |
| "loss": 0.036, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "eval_accuracy": 0.9583333333333334, | |
| "eval_loss": 0.18506751954555511, | |
| "eval_runtime": 36.1885, | |
| "eval_samples_per_second": 19.233, | |
| "eval_steps_per_second": 2.404, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 0.010145030915737152, | |
| "learning_rate": 0.0001334958217270195, | |
| "loss": 0.0411, | |
| "step": 1910 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 0.005521192215383053, | |
| "learning_rate": 0.00013314763231197772, | |
| "loss": 0.0095, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 0.008944313041865826, | |
| "learning_rate": 0.00013279944289693594, | |
| "loss": 0.0061, | |
| "step": 1930 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 0.036939240992069244, | |
| "learning_rate": 0.00013245125348189415, | |
| "loss": 0.0295, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 0.004508269485086203, | |
| "learning_rate": 0.0001321030640668524, | |
| "loss": 0.015, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 0.0245398860424757, | |
| "learning_rate": 0.0001317548746518106, | |
| "loss": 0.0122, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 0.008592234924435616, | |
| "learning_rate": 0.0001314066852367688, | |
| "loss": 0.0519, | |
| "step": 1970 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 0.026266993954777718, | |
| "learning_rate": 0.00013105849582172702, | |
| "loss": 0.047, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 0.8703653216362, | |
| "learning_rate": 0.00013071030640668524, | |
| "loss": 0.0858, | |
| "step": 1990 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 0.16321466863155365, | |
| "learning_rate": 0.00013036211699164347, | |
| "loss": 0.0733, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "eval_accuracy": 0.9583333333333334, | |
| "eval_loss": 0.18010464310646057, | |
| "eval_runtime": 35.975, | |
| "eval_samples_per_second": 19.347, | |
| "eval_steps_per_second": 2.418, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 0.02395610883831978, | |
| "learning_rate": 0.00013001392757660166, | |
| "loss": 0.0481, | |
| "step": 2010 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 2.885974645614624, | |
| "learning_rate": 0.0001296657381615599, | |
| "loss": 0.0926, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 0.23348748683929443, | |
| "learning_rate": 0.0001293175487465181, | |
| "loss": 0.0128, | |
| "step": 2030 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 0.011263038031756878, | |
| "learning_rate": 0.00012896935933147635, | |
| "loss": 0.0595, | |
| "step": 2040 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 0.003669577185064554, | |
| "learning_rate": 0.00012862116991643453, | |
| "loss": 0.0271, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 0.061473917216062546, | |
| "learning_rate": 0.00012827298050139275, | |
| "loss": 0.0705, | |
| "step": 2060 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 0.21758386492729187, | |
| "learning_rate": 0.00012792479108635098, | |
| "loss": 0.0289, | |
| "step": 2070 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "grad_norm": 4.921506404876709, | |
| "learning_rate": 0.0001275766016713092, | |
| "loss": 0.0441, | |
| "step": 2080 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 0.011570905335247517, | |
| "learning_rate": 0.00012722841225626744, | |
| "loss": 0.0016, | |
| "step": 2090 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 5.713520050048828, | |
| "learning_rate": 0.00012688022284122562, | |
| "loss": 0.0549, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "eval_accuracy": 0.9597701149425287, | |
| "eval_loss": 0.19172786176204681, | |
| "eval_runtime": 35.7108, | |
| "eval_samples_per_second": 19.49, | |
| "eval_steps_per_second": 2.436, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 0.07785508036613464, | |
| "learning_rate": 0.00012653203342618386, | |
| "loss": 0.0217, | |
| "step": 2110 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 0.004833151586353779, | |
| "learning_rate": 0.00012618384401114207, | |
| "loss": 0.0013, | |
| "step": 2120 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 0.050749145448207855, | |
| "learning_rate": 0.00012583565459610028, | |
| "loss": 0.0231, | |
| "step": 2130 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "grad_norm": 0.002657771809026599, | |
| "learning_rate": 0.0001254874651810585, | |
| "loss": 0.0006, | |
| "step": 2140 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 0.0026397837791591883, | |
| "learning_rate": 0.0001251392757660167, | |
| "loss": 0.0128, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 0.0028812838718295097, | |
| "learning_rate": 0.00012479108635097495, | |
| "loss": 0.0008, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "grad_norm": 7.40750789642334, | |
| "learning_rate": 0.00012444289693593316, | |
| "loss": 0.0542, | |
| "step": 2170 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 0.023035351186990738, | |
| "learning_rate": 0.00012409470752089137, | |
| "loss": 0.0618, | |
| "step": 2180 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 3.932640552520752, | |
| "learning_rate": 0.00012374651810584958, | |
| "loss": 0.0346, | |
| "step": 2190 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 0.043167661875486374, | |
| "learning_rate": 0.00012339832869080782, | |
| "loss": 0.0442, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "eval_accuracy": 0.9655172413793104, | |
| "eval_loss": 0.15375293791294098, | |
| "eval_runtime": 36.1114, | |
| "eval_samples_per_second": 19.274, | |
| "eval_steps_per_second": 2.409, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 0.030572544783353806, | |
| "learning_rate": 0.00012305013927576603, | |
| "loss": 0.0301, | |
| "step": 2210 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 2.4444499015808105, | |
| "learning_rate": 0.00012270194986072422, | |
| "loss": 0.0648, | |
| "step": 2220 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 0.003966104239225388, | |
| "learning_rate": 0.00012235376044568246, | |
| "loss": 0.0046, | |
| "step": 2230 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 6.563431739807129, | |
| "learning_rate": 0.00012200557103064068, | |
| "loss": 0.071, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 0.04225797951221466, | |
| "learning_rate": 0.0001216573816155989, | |
| "loss": 0.0171, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 2.1912388801574707, | |
| "learning_rate": 0.00012130919220055709, | |
| "loss": 0.08, | |
| "step": 2260 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "grad_norm": 0.0018349624006077647, | |
| "learning_rate": 0.00012096100278551532, | |
| "loss": 0.0048, | |
| "step": 2270 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 0.0031464290805161, | |
| "learning_rate": 0.00012061281337047354, | |
| "loss": 0.0044, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 0.003731086850166321, | |
| "learning_rate": 0.00012026462395543177, | |
| "loss": 0.0253, | |
| "step": 2290 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 7.218816757202148, | |
| "learning_rate": 0.00011991643454039, | |
| "loss": 0.0196, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "eval_accuracy": 0.9698275862068966, | |
| "eval_loss": 0.14107204973697662, | |
| "eval_runtime": 36.5366, | |
| "eval_samples_per_second": 19.049, | |
| "eval_steps_per_second": 2.381, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "grad_norm": 1.3289762735366821, | |
| "learning_rate": 0.00011956824512534819, | |
| "loss": 0.0037, | |
| "step": 2310 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 2.8097541332244873, | |
| "learning_rate": 0.0001192200557103064, | |
| "loss": 0.0184, | |
| "step": 2320 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 1.9819353818893433, | |
| "learning_rate": 0.00011887186629526463, | |
| "loss": 0.0692, | |
| "step": 2330 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 3.6161446571350098, | |
| "learning_rate": 0.00011855849582172702, | |
| "loss": 0.1015, | |
| "step": 2340 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "grad_norm": 0.16102848947048187, | |
| "learning_rate": 0.00011821030640668524, | |
| "loss": 0.0155, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "grad_norm": 0.002351599046960473, | |
| "learning_rate": 0.00011786211699164347, | |
| "loss": 0.0617, | |
| "step": 2360 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 0.1253902018070221, | |
| "learning_rate": 0.00011751392757660167, | |
| "loss": 0.0134, | |
| "step": 2370 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "grad_norm": 3.6419570446014404, | |
| "learning_rate": 0.00011716573816155989, | |
| "loss": 0.0171, | |
| "step": 2380 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "grad_norm": 0.0014169831993058324, | |
| "learning_rate": 0.00011681754874651812, | |
| "loss": 0.0059, | |
| "step": 2390 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 0.004712065681815147, | |
| "learning_rate": 0.00011646935933147633, | |
| "loss": 0.0809, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "eval_accuracy": 0.9540229885057471, | |
| "eval_loss": 0.18621940910816193, | |
| "eval_runtime": 35.9547, | |
| "eval_samples_per_second": 19.358, | |
| "eval_steps_per_second": 2.42, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 0.059306591749191284, | |
| "learning_rate": 0.00011612116991643454, | |
| "loss": 0.0824, | |
| "step": 2410 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 0.07501501590013504, | |
| "learning_rate": 0.00011577298050139275, | |
| "loss": 0.0294, | |
| "step": 2420 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 3.5017964839935303, | |
| "learning_rate": 0.00011542479108635098, | |
| "loss": 0.062, | |
| "step": 2430 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 1.136009931564331, | |
| "learning_rate": 0.0001150766016713092, | |
| "loss": 0.0084, | |
| "step": 2440 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 0.11244765669107437, | |
| "learning_rate": 0.00011472841225626743, | |
| "loss": 0.0784, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 0.004342706874012947, | |
| "learning_rate": 0.00011438022284122563, | |
| "loss": 0.0065, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 0.06110939756035805, | |
| "learning_rate": 0.00011403203342618385, | |
| "loss": 0.0014, | |
| "step": 2470 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 0.06438643485307693, | |
| "learning_rate": 0.00011368384401114207, | |
| "loss": 0.0036, | |
| "step": 2480 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 0.048323530703783035, | |
| "learning_rate": 0.00011333565459610029, | |
| "loss": 0.0059, | |
| "step": 2490 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 0.016341280192136765, | |
| "learning_rate": 0.00011298746518105849, | |
| "loss": 0.0004, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "eval_accuracy": 0.9698275862068966, | |
| "eval_loss": 0.1324520707130432, | |
| "eval_runtime": 35.782, | |
| "eval_samples_per_second": 19.451, | |
| "eval_steps_per_second": 2.431, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 0.6630181670188904, | |
| "learning_rate": 0.00011263927576601671, | |
| "loss": 0.0017, | |
| "step": 2510 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 0.002616755198687315, | |
| "learning_rate": 0.00011229108635097494, | |
| "loss": 0.0008, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "grad_norm": 0.006078706588596106, | |
| "learning_rate": 0.00011194289693593317, | |
| "loss": 0.0005, | |
| "step": 2530 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 1.398128867149353, | |
| "learning_rate": 0.00011159470752089136, | |
| "loss": 0.0052, | |
| "step": 2540 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 0.0013051325222477317, | |
| "learning_rate": 0.00011124651810584959, | |
| "loss": 0.0601, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 0.10400926321744919, | |
| "learning_rate": 0.0001108983286908078, | |
| "loss": 0.003, | |
| "step": 2560 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 0.0016845627687871456, | |
| "learning_rate": 0.00011055013927576603, | |
| "loss": 0.0799, | |
| "step": 2570 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "grad_norm": 8.756908416748047, | |
| "learning_rate": 0.00011020194986072423, | |
| "loss": 0.0414, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "grad_norm": 0.06296553462743759, | |
| "learning_rate": 0.00010985376044568245, | |
| "loss": 0.0085, | |
| "step": 2590 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 0.002325402805581689, | |
| "learning_rate": 0.00010950557103064068, | |
| "loss": 0.0404, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "eval_accuracy": 0.9712643678160919, | |
| "eval_loss": 0.12463492900133133, | |
| "eval_runtime": 36.0715, | |
| "eval_samples_per_second": 19.295, | |
| "eval_steps_per_second": 2.412, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 2.0505995750427246, | |
| "learning_rate": 0.0001091573816155989, | |
| "loss": 0.0131, | |
| "step": 2610 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 0.005136621650308371, | |
| "learning_rate": 0.0001088091922005571, | |
| "loss": 0.0086, | |
| "step": 2620 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 0.0078201275318861, | |
| "learning_rate": 0.00010846100278551533, | |
| "loss": 0.0017, | |
| "step": 2630 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "grad_norm": 5.730374813079834, | |
| "learning_rate": 0.00010811281337047354, | |
| "loss": 0.0106, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 0.0022723209112882614, | |
| "learning_rate": 0.00010776462395543176, | |
| "loss": 0.0104, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 0.0025097934994846582, | |
| "learning_rate": 0.00010741643454038999, | |
| "loss": 0.0248, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 7.8781256675720215, | |
| "learning_rate": 0.00010706824512534819, | |
| "loss": 0.0314, | |
| "step": 2670 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 6.506507396697998, | |
| "learning_rate": 0.00010672005571030641, | |
| "loss": 0.022, | |
| "step": 2680 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 0.18162275850772858, | |
| "learning_rate": 0.00010637186629526464, | |
| "loss": 0.0193, | |
| "step": 2690 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 0.22412802278995514, | |
| "learning_rate": 0.00010602367688022285, | |
| "loss": 0.0691, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "eval_accuracy": 0.9597701149425287, | |
| "eval_loss": 0.19613413512706757, | |
| "eval_runtime": 35.9377, | |
| "eval_samples_per_second": 19.367, | |
| "eval_steps_per_second": 2.421, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 0.00789021048694849, | |
| "learning_rate": 0.00010567548746518106, | |
| "loss": 0.1014, | |
| "step": 2710 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 0.0036270658019930124, | |
| "learning_rate": 0.00010532729805013927, | |
| "loss": 0.0066, | |
| "step": 2720 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "grad_norm": 0.0017741814954206347, | |
| "learning_rate": 0.0001049791086350975, | |
| "loss": 0.0017, | |
| "step": 2730 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 0.007776726968586445, | |
| "learning_rate": 0.00010463091922005572, | |
| "loss": 0.0006, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 0.0036039133556187153, | |
| "learning_rate": 0.00010428272980501392, | |
| "loss": 0.0069, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 0.020857617259025574, | |
| "learning_rate": 0.00010393454038997215, | |
| "loss": 0.0084, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "grad_norm": 0.00476573221385479, | |
| "learning_rate": 0.00010358635097493037, | |
| "loss": 0.0089, | |
| "step": 2770 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 0.007087323348969221, | |
| "learning_rate": 0.00010323816155988859, | |
| "loss": 0.003, | |
| "step": 2780 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 0.12047570943832397, | |
| "learning_rate": 0.0001028899721448468, | |
| "loss": 0.0353, | |
| "step": 2790 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "grad_norm": 8.084424018859863, | |
| "learning_rate": 0.00010254178272980501, | |
| "loss": 0.0088, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "eval_accuracy": 0.9683908045977011, | |
| "eval_loss": 0.18410901725292206, | |
| "eval_runtime": 35.8036, | |
| "eval_samples_per_second": 19.439, | |
| "eval_steps_per_second": 2.43, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 0.0028939053881913424, | |
| "learning_rate": 0.00010219359331476323, | |
| "loss": 0.0852, | |
| "step": 2810 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 0.015490409918129444, | |
| "learning_rate": 0.00010184540389972146, | |
| "loss": 0.0008, | |
| "step": 2820 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "grad_norm": 0.21892137825489044, | |
| "learning_rate": 0.00010149721448467969, | |
| "loss": 0.0007, | |
| "step": 2830 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 0.0013207359006628394, | |
| "learning_rate": 0.00010114902506963788, | |
| "loss": 0.003, | |
| "step": 2840 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 0.013448349200189114, | |
| "learning_rate": 0.00010080083565459611, | |
| "loss": 0.0066, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "grad_norm": 0.00878733117133379, | |
| "learning_rate": 0.00010045264623955432, | |
| "loss": 0.0496, | |
| "step": 2860 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 13.995903968811035, | |
| "learning_rate": 0.00010010445682451255, | |
| "loss": 0.0989, | |
| "step": 2870 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "grad_norm": 0.14911749958992004, | |
| "learning_rate": 9.975626740947076e-05, | |
| "loss": 0.0027, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "grad_norm": 0.003861737437546253, | |
| "learning_rate": 9.940807799442897e-05, | |
| "loss": 0.0322, | |
| "step": 2890 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 0.005346905440092087, | |
| "learning_rate": 9.90598885793872e-05, | |
| "loss": 0.0029, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "eval_accuracy": 0.9813218390804598, | |
| "eval_loss": 0.10571122169494629, | |
| "eval_runtime": 36.3232, | |
| "eval_samples_per_second": 19.161, | |
| "eval_steps_per_second": 2.395, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "grad_norm": 0.02600006014108658, | |
| "learning_rate": 9.871169916434541e-05, | |
| "loss": 0.0008, | |
| "step": 2910 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "grad_norm": 0.0034855674020946026, | |
| "learning_rate": 9.836350974930363e-05, | |
| "loss": 0.0017, | |
| "step": 2920 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "grad_norm": 0.012216300703585148, | |
| "learning_rate": 9.801532033426185e-05, | |
| "loss": 0.0003, | |
| "step": 2930 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "grad_norm": 0.0010572533356025815, | |
| "learning_rate": 9.766713091922006e-05, | |
| "loss": 0.0004, | |
| "step": 2940 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "grad_norm": 0.000851622608024627, | |
| "learning_rate": 9.731894150417827e-05, | |
| "loss": 0.0031, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "grad_norm": 0.24186454713344574, | |
| "learning_rate": 9.69707520891365e-05, | |
| "loss": 0.0003, | |
| "step": 2960 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "grad_norm": 0.029137974604964256, | |
| "learning_rate": 9.66225626740947e-05, | |
| "loss": 0.0003, | |
| "step": 2970 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "grad_norm": 0.0058034202083945274, | |
| "learning_rate": 9.627437325905293e-05, | |
| "loss": 0.0005, | |
| "step": 2980 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "grad_norm": 0.0009422635193914175, | |
| "learning_rate": 9.592618384401114e-05, | |
| "loss": 0.0002, | |
| "step": 2990 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "grad_norm": 0.003287246450781822, | |
| "learning_rate": 9.557799442896937e-05, | |
| "loss": 0.0005, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "eval_accuracy": 0.9741379310344828, | |
| "eval_loss": 0.11307180672883987, | |
| "eval_runtime": 35.848, | |
| "eval_samples_per_second": 19.415, | |
| "eval_steps_per_second": 2.427, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "grad_norm": 0.0038968026638031006, | |
| "learning_rate": 9.522980501392758e-05, | |
| "loss": 0.0007, | |
| "step": 3010 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "grad_norm": 0.003602625336498022, | |
| "learning_rate": 9.488161559888579e-05, | |
| "loss": 0.0003, | |
| "step": 3020 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "grad_norm": 0.0007726295152679086, | |
| "learning_rate": 9.453342618384402e-05, | |
| "loss": 0.0016, | |
| "step": 3030 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "grad_norm": 0.0014457539655268192, | |
| "learning_rate": 9.418523676880223e-05, | |
| "loss": 0.0361, | |
| "step": 3040 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "grad_norm": 0.001288870582357049, | |
| "learning_rate": 9.383704735376046e-05, | |
| "loss": 0.0002, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "grad_norm": 0.0008597253472544253, | |
| "learning_rate": 9.348885793871867e-05, | |
| "loss": 0.0003, | |
| "step": 3060 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "grad_norm": 0.0012300481321290135, | |
| "learning_rate": 9.314066852367689e-05, | |
| "loss": 0.0002, | |
| "step": 3070 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "grad_norm": 0.0006355264922603965, | |
| "learning_rate": 9.27924791086351e-05, | |
| "loss": 0.0001, | |
| "step": 3080 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "grad_norm": 0.005312491673976183, | |
| "learning_rate": 9.244428969359332e-05, | |
| "loss": 0.0002, | |
| "step": 3090 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "grad_norm": 0.0009683069074526429, | |
| "learning_rate": 9.209610027855153e-05, | |
| "loss": 0.0001, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "eval_accuracy": 0.9813218390804598, | |
| "eval_loss": 0.08920785784721375, | |
| "eval_runtime": 35.6113, | |
| "eval_samples_per_second": 19.544, | |
| "eval_steps_per_second": 2.443, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "grad_norm": 0.0020216393750160933, | |
| "learning_rate": 9.174791086350975e-05, | |
| "loss": 0.0052, | |
| "step": 3110 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "grad_norm": 1.5278111696243286, | |
| "learning_rate": 9.139972144846797e-05, | |
| "loss": 0.0033, | |
| "step": 3120 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "grad_norm": 0.0029855158645659685, | |
| "learning_rate": 9.105153203342619e-05, | |
| "loss": 0.0539, | |
| "step": 3130 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "grad_norm": 0.013236282393336296, | |
| "learning_rate": 9.07033426183844e-05, | |
| "loss": 0.0003, | |
| "step": 3140 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "grad_norm": 0.052337899804115295, | |
| "learning_rate": 9.035515320334263e-05, | |
| "loss": 0.001, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "grad_norm": 0.0012746230931952596, | |
| "learning_rate": 9.000696378830084e-05, | |
| "loss": 0.0434, | |
| "step": 3160 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "grad_norm": 0.07627440243959427, | |
| "learning_rate": 8.965877437325905e-05, | |
| "loss": 0.0004, | |
| "step": 3170 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "grad_norm": 0.003083089366555214, | |
| "learning_rate": 8.931058495821726e-05, | |
| "loss": 0.0002, | |
| "step": 3180 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "grad_norm": 0.0020660432055592537, | |
| "learning_rate": 8.896239554317549e-05, | |
| "loss": 0.0003, | |
| "step": 3190 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "grad_norm": 0.04302741959691048, | |
| "learning_rate": 8.861420612813372e-05, | |
| "loss": 0.0002, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "eval_accuracy": 0.9827586206896551, | |
| "eval_loss": 0.07567945867776871, | |
| "eval_runtime": 35.3934, | |
| "eval_samples_per_second": 19.665, | |
| "eval_steps_per_second": 2.458, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "grad_norm": 0.0009345992002636194, | |
| "learning_rate": 8.826601671309193e-05, | |
| "loss": 0.0441, | |
| "step": 3210 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "grad_norm": 0.002595352241769433, | |
| "learning_rate": 8.791782729805015e-05, | |
| "loss": 0.0002, | |
| "step": 3220 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "grad_norm": 0.002003292553126812, | |
| "learning_rate": 8.756963788300836e-05, | |
| "loss": 0.0007, | |
| "step": 3230 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "grad_norm": 0.0009823666187003255, | |
| "learning_rate": 8.722144846796658e-05, | |
| "loss": 0.0002, | |
| "step": 3240 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "grad_norm": 0.0008656879072077572, | |
| "learning_rate": 8.687325905292479e-05, | |
| "loss": 0.0004, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 2.27, | |
| "grad_norm": 0.0006070456001907587, | |
| "learning_rate": 8.652506963788301e-05, | |
| "loss": 0.0004, | |
| "step": 3260 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "grad_norm": 0.0006921704043634236, | |
| "learning_rate": 8.617688022284123e-05, | |
| "loss": 0.0196, | |
| "step": 3270 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "grad_norm": 0.0018148680683225393, | |
| "learning_rate": 8.582869080779945e-05, | |
| "loss": 0.0001, | |
| "step": 3280 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "grad_norm": 0.010168994776904583, | |
| "learning_rate": 8.548050139275766e-05, | |
| "loss": 0.0005, | |
| "step": 3290 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "grad_norm": 0.0014962274581193924, | |
| "learning_rate": 8.513231197771589e-05, | |
| "loss": 0.0186, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "eval_accuracy": 0.978448275862069, | |
| "eval_loss": 0.07941145449876785, | |
| "eval_runtime": 35.5001, | |
| "eval_samples_per_second": 19.606, | |
| "eval_steps_per_second": 2.451, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "grad_norm": 0.0014951284974813461, | |
| "learning_rate": 8.47841225626741e-05, | |
| "loss": 0.0001, | |
| "step": 3310 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "grad_norm": 0.0012492133537307382, | |
| "learning_rate": 8.443593314763231e-05, | |
| "loss": 0.017, | |
| "step": 3320 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "grad_norm": 0.001966628013178706, | |
| "learning_rate": 8.408774373259052e-05, | |
| "loss": 0.0003, | |
| "step": 3330 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "grad_norm": 0.003503795713186264, | |
| "learning_rate": 8.373955431754875e-05, | |
| "loss": 0.0019, | |
| "step": 3340 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "grad_norm": 0.0009698419598862529, | |
| "learning_rate": 8.339136490250696e-05, | |
| "loss": 0.0002, | |
| "step": 3350 | |
| }, | |
| { | |
| "epoch": 2.34, | |
| "grad_norm": 0.003532392904162407, | |
| "learning_rate": 8.304317548746519e-05, | |
| "loss": 0.061, | |
| "step": 3360 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "grad_norm": 0.0015911379596218467, | |
| "learning_rate": 8.26949860724234e-05, | |
| "loss": 0.0002, | |
| "step": 3370 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "grad_norm": 0.003713688813149929, | |
| "learning_rate": 8.234679665738162e-05, | |
| "loss": 0.0003, | |
| "step": 3380 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "grad_norm": 0.0017646539490669966, | |
| "learning_rate": 8.199860724233984e-05, | |
| "loss": 0.0535, | |
| "step": 3390 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "grad_norm": 0.0015788556775078177, | |
| "learning_rate": 8.165041782729805e-05, | |
| "loss": 0.0127, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "eval_accuracy": 0.9770114942528736, | |
| "eval_loss": 0.109991654753685, | |
| "eval_runtime": 35.5883, | |
| "eval_samples_per_second": 19.557, | |
| "eval_steps_per_second": 2.445, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "grad_norm": 0.0013490252895280719, | |
| "learning_rate": 8.130222841225627e-05, | |
| "loss": 0.0002, | |
| "step": 3410 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "grad_norm": 0.0011618455173447728, | |
| "learning_rate": 8.095403899721449e-05, | |
| "loss": 0.0041, | |
| "step": 3420 | |
| }, | |
| { | |
| "epoch": 2.39, | |
| "grad_norm": 0.0008495352230966091, | |
| "learning_rate": 8.060584958217271e-05, | |
| "loss": 0.0002, | |
| "step": 3430 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "grad_norm": 0.002711158012971282, | |
| "learning_rate": 8.025766016713092e-05, | |
| "loss": 0.0346, | |
| "step": 3440 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "grad_norm": 0.023644153028726578, | |
| "learning_rate": 7.990947075208915e-05, | |
| "loss": 0.005, | |
| "step": 3450 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "grad_norm": 0.006983724422752857, | |
| "learning_rate": 7.956128133704736e-05, | |
| "loss": 0.0424, | |
| "step": 3460 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "grad_norm": 0.02986639365553856, | |
| "learning_rate": 7.921309192200557e-05, | |
| "loss": 0.0318, | |
| "step": 3470 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "grad_norm": 4.136352062225342, | |
| "learning_rate": 7.886490250696378e-05, | |
| "loss": 0.0032, | |
| "step": 3480 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "grad_norm": 0.015517113730311394, | |
| "learning_rate": 7.851671309192201e-05, | |
| "loss": 0.0305, | |
| "step": 3490 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "grad_norm": 0.0017729534301906824, | |
| "learning_rate": 7.816852367688022e-05, | |
| "loss": 0.0048, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "eval_accuracy": 0.9798850574712644, | |
| "eval_loss": 0.13860931992530823, | |
| "eval_runtime": 36.2444, | |
| "eval_samples_per_second": 19.203, | |
| "eval_steps_per_second": 2.4, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "grad_norm": 0.2275744378566742, | |
| "learning_rate": 7.782033426183845e-05, | |
| "loss": 0.0207, | |
| "step": 3510 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "grad_norm": 0.0016194531926885247, | |
| "learning_rate": 7.747214484679666e-05, | |
| "loss": 0.0454, | |
| "step": 3520 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "grad_norm": 0.00831185095012188, | |
| "learning_rate": 7.712395543175488e-05, | |
| "loss": 0.0002, | |
| "step": 3530 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "grad_norm": 0.0064757768996059895, | |
| "learning_rate": 7.67757660167131e-05, | |
| "loss": 0.0015, | |
| "step": 3540 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "grad_norm": 0.19444404542446136, | |
| "learning_rate": 7.642757660167131e-05, | |
| "loss": 0.0038, | |
| "step": 3550 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "grad_norm": 0.0022411602549254894, | |
| "learning_rate": 7.607938718662952e-05, | |
| "loss": 0.0003, | |
| "step": 3560 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "grad_norm": 0.0066094715148210526, | |
| "learning_rate": 7.573119777158775e-05, | |
| "loss": 0.0307, | |
| "step": 3570 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "grad_norm": 0.00163698208052665, | |
| "learning_rate": 7.538300835654597e-05, | |
| "loss": 0.0053, | |
| "step": 3580 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 0.00275797420181334, | |
| "learning_rate": 7.503481894150418e-05, | |
| "loss": 0.0009, | |
| "step": 3590 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "grad_norm": 0.014838581904768944, | |
| "learning_rate": 7.468662952646241e-05, | |
| "loss": 0.0048, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "eval_accuracy": 0.9899425287356322, | |
| "eval_loss": 0.06347225606441498, | |
| "eval_runtime": 35.6377, | |
| "eval_samples_per_second": 19.53, | |
| "eval_steps_per_second": 2.441, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "grad_norm": 0.013059583492577076, | |
| "learning_rate": 7.433844011142062e-05, | |
| "loss": 0.0004, | |
| "step": 3610 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "grad_norm": 0.02046467363834381, | |
| "learning_rate": 7.399025069637883e-05, | |
| "loss": 0.004, | |
| "step": 3620 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "grad_norm": 0.2419157475233078, | |
| "learning_rate": 7.364206128133704e-05, | |
| "loss": 0.0059, | |
| "step": 3630 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "grad_norm": 0.001298550865612924, | |
| "learning_rate": 7.329387186629527e-05, | |
| "loss": 0.0003, | |
| "step": 3640 | |
| }, | |
| { | |
| "epoch": 2.54, | |
| "grad_norm": 0.006013019476085901, | |
| "learning_rate": 7.294568245125348e-05, | |
| "loss": 0.0004, | |
| "step": 3650 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "grad_norm": 0.07667834311723709, | |
| "learning_rate": 7.259749303621171e-05, | |
| "loss": 0.0004, | |
| "step": 3660 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "grad_norm": 0.0010899449698626995, | |
| "learning_rate": 7.224930362116992e-05, | |
| "loss": 0.0001, | |
| "step": 3670 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "grad_norm": 0.0033650537952780724, | |
| "learning_rate": 7.190111420612814e-05, | |
| "loss": 0.0005, | |
| "step": 3680 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "grad_norm": 0.0012150221737101674, | |
| "learning_rate": 7.155292479108636e-05, | |
| "loss": 0.0001, | |
| "step": 3690 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "grad_norm": 0.0012052224483340979, | |
| "learning_rate": 7.120473537604457e-05, | |
| "loss": 0.001, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "eval_accuracy": 0.9798850574712644, | |
| "eval_loss": 0.09972245991230011, | |
| "eval_runtime": 36.1164, | |
| "eval_samples_per_second": 19.271, | |
| "eval_steps_per_second": 2.409, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "grad_norm": 0.0028800666332244873, | |
| "learning_rate": 7.085654596100278e-05, | |
| "loss": 0.0002, | |
| "step": 3710 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "grad_norm": 0.0007534552132710814, | |
| "learning_rate": 7.0508356545961e-05, | |
| "loss": 0.0371, | |
| "step": 3720 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "grad_norm": 0.02767573855817318, | |
| "learning_rate": 7.016016713091922e-05, | |
| "loss": 0.0002, | |
| "step": 3730 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "grad_norm": 0.0017805310199037194, | |
| "learning_rate": 6.981197771587744e-05, | |
| "loss": 0.0003, | |
| "step": 3740 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "grad_norm": 0.01443151943385601, | |
| "learning_rate": 6.946378830083565e-05, | |
| "loss": 0.0002, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "grad_norm": 0.00520982826128602, | |
| "learning_rate": 6.911559888579388e-05, | |
| "loss": 0.02, | |
| "step": 3760 | |
| }, | |
| { | |
| "epoch": 2.63, | |
| "grad_norm": 0.00234880018979311, | |
| "learning_rate": 6.876740947075209e-05, | |
| "loss": 0.0253, | |
| "step": 3770 | |
| }, | |
| { | |
| "epoch": 2.63, | |
| "grad_norm": 0.0004435311129782349, | |
| "learning_rate": 6.84192200557103e-05, | |
| "loss": 0.0001, | |
| "step": 3780 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "grad_norm": 0.0015614174772053957, | |
| "learning_rate": 6.807103064066853e-05, | |
| "loss": 0.0265, | |
| "step": 3790 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "grad_norm": 0.0008992806542664766, | |
| "learning_rate": 6.772284122562674e-05, | |
| "loss": 0.0005, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "eval_accuracy": 0.9755747126436781, | |
| "eval_loss": 0.11192366480827332, | |
| "eval_runtime": 35.6523, | |
| "eval_samples_per_second": 19.522, | |
| "eval_steps_per_second": 2.44, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "grad_norm": 0.001526621519587934, | |
| "learning_rate": 6.737465181058497e-05, | |
| "loss": 0.0001, | |
| "step": 3810 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "grad_norm": 0.0012564824428409338, | |
| "learning_rate": 6.702646239554318e-05, | |
| "loss": 0.0184, | |
| "step": 3820 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "grad_norm": 0.010799840092658997, | |
| "learning_rate": 6.66782729805014e-05, | |
| "loss": 0.0002, | |
| "step": 3830 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "grad_norm": 0.09518575668334961, | |
| "learning_rate": 6.633008356545962e-05, | |
| "loss": 0.0233, | |
| "step": 3840 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "grad_norm": 0.007948394864797592, | |
| "learning_rate": 6.598189415041783e-05, | |
| "loss": 0.0538, | |
| "step": 3850 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "grad_norm": 0.0013590805465355515, | |
| "learning_rate": 6.563370473537604e-05, | |
| "loss": 0.012, | |
| "step": 3860 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "grad_norm": 0.004664690233767033, | |
| "learning_rate": 6.528551532033427e-05, | |
| "loss": 0.0022, | |
| "step": 3870 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "grad_norm": 0.0020023442339152098, | |
| "learning_rate": 6.493732590529248e-05, | |
| "loss": 0.0004, | |
| "step": 3880 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "grad_norm": 0.002935326425358653, | |
| "learning_rate": 6.45891364902507e-05, | |
| "loss": 0.0001, | |
| "step": 3890 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "grad_norm": 0.007063873112201691, | |
| "learning_rate": 6.424094707520891e-05, | |
| "loss": 0.0006, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "eval_accuracy": 0.9712643678160919, | |
| "eval_loss": 0.12915293872356415, | |
| "eval_runtime": 35.4193, | |
| "eval_samples_per_second": 19.65, | |
| "eval_steps_per_second": 2.456, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "grad_norm": 0.028898164629936218, | |
| "learning_rate": 6.389275766016714e-05, | |
| "loss": 0.0004, | |
| "step": 3910 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "grad_norm": 0.016497179865837097, | |
| "learning_rate": 6.354456824512535e-05, | |
| "loss": 0.0018, | |
| "step": 3920 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "grad_norm": 0.00926460325717926, | |
| "learning_rate": 6.319637883008356e-05, | |
| "loss": 0.0001, | |
| "step": 3930 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "grad_norm": 0.0021442470606416464, | |
| "learning_rate": 6.284818941504178e-05, | |
| "loss": 0.0021, | |
| "step": 3940 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "grad_norm": 0.00117313745431602, | |
| "learning_rate": 6.25e-05, | |
| "loss": 0.0167, | |
| "step": 3950 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "grad_norm": 0.001675875741057098, | |
| "learning_rate": 6.215181058495823e-05, | |
| "loss": 0.0002, | |
| "step": 3960 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "grad_norm": 4.56508731842041, | |
| "learning_rate": 6.180362116991644e-05, | |
| "loss": 0.0458, | |
| "step": 3970 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "grad_norm": 0.00593574857339263, | |
| "learning_rate": 6.145543175487466e-05, | |
| "loss": 0.0001, | |
| "step": 3980 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "grad_norm": 2.249992847442627, | |
| "learning_rate": 6.110724233983288e-05, | |
| "loss": 0.0032, | |
| "step": 3990 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "grad_norm": 0.0021550431847572327, | |
| "learning_rate": 6.0759052924791095e-05, | |
| "loss": 0.0003, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "eval_accuracy": 0.9770114942528736, | |
| "eval_loss": 0.1185581386089325, | |
| "eval_runtime": 35.5879, | |
| "eval_samples_per_second": 19.557, | |
| "eval_steps_per_second": 2.445, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "grad_norm": 0.003284281585365534, | |
| "learning_rate": 6.0410863509749307e-05, | |
| "loss": 0.0051, | |
| "step": 4010 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "grad_norm": 0.0009602207574062049, | |
| "learning_rate": 6.0062674094707525e-05, | |
| "loss": 0.0004, | |
| "step": 4020 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "grad_norm": 0.0013085228856652975, | |
| "learning_rate": 5.971448467966574e-05, | |
| "loss": 0.0044, | |
| "step": 4030 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "grad_norm": 0.0013867886736989021, | |
| "learning_rate": 5.936629526462396e-05, | |
| "loss": 0.0003, | |
| "step": 4040 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "grad_norm": 0.0016945902025327086, | |
| "learning_rate": 5.9018105849582175e-05, | |
| "loss": 0.0005, | |
| "step": 4050 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "grad_norm": 0.0058686388656497, | |
| "learning_rate": 5.866991643454039e-05, | |
| "loss": 0.0003, | |
| "step": 4060 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "grad_norm": 0.0007193565252237022, | |
| "learning_rate": 5.8321727019498605e-05, | |
| "loss": 0.0008, | |
| "step": 4070 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "grad_norm": 0.002980075776576996, | |
| "learning_rate": 5.797353760445683e-05, | |
| "loss": 0.0001, | |
| "step": 4080 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "grad_norm": 0.0009382622665725648, | |
| "learning_rate": 5.762534818941504e-05, | |
| "loss": 0.0005, | |
| "step": 4090 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "grad_norm": 0.0006443078746087849, | |
| "learning_rate": 5.727715877437326e-05, | |
| "loss": 0.0137, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "eval_accuracy": 0.9770114942528736, | |
| "eval_loss": 0.0968838483095169, | |
| "eval_runtime": 36.4506, | |
| "eval_samples_per_second": 19.094, | |
| "eval_steps_per_second": 2.387, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "grad_norm": 0.02481170743703842, | |
| "learning_rate": 5.692896935933147e-05, | |
| "loss": 0.0007, | |
| "step": 4110 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "grad_norm": 0.0029068405274301767, | |
| "learning_rate": 5.65807799442897e-05, | |
| "loss": 0.0003, | |
| "step": 4120 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "grad_norm": 1.1100047826766968, | |
| "learning_rate": 5.623259052924791e-05, | |
| "loss": 0.0014, | |
| "step": 4130 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "grad_norm": 0.0005633348482660949, | |
| "learning_rate": 5.588440111420613e-05, | |
| "loss": 0.003, | |
| "step": 4140 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "grad_norm": 0.12589029967784882, | |
| "learning_rate": 5.5536211699164355e-05, | |
| "loss": 0.0003, | |
| "step": 4150 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "grad_norm": 0.0005603305180557072, | |
| "learning_rate": 5.5188022284122566e-05, | |
| "loss": 0.0005, | |
| "step": 4160 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "grad_norm": 0.0006461963639594615, | |
| "learning_rate": 5.4839832869080785e-05, | |
| "loss": 0.0001, | |
| "step": 4170 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "grad_norm": 0.0012363989371806383, | |
| "learning_rate": 5.4491643454039e-05, | |
| "loss": 0.0004, | |
| "step": 4180 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "grad_norm": 0.001515595125965774, | |
| "learning_rate": 5.414345403899722e-05, | |
| "loss": 0.0005, | |
| "step": 4190 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "grad_norm": 0.0007989232544787228, | |
| "learning_rate": 5.3795264623955434e-05, | |
| "loss": 0.0001, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "eval_accuracy": 0.9841954022988506, | |
| "eval_loss": 0.073846735060215, | |
| "eval_runtime": 36.351, | |
| "eval_samples_per_second": 19.147, | |
| "eval_steps_per_second": 2.393, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "grad_norm": 0.0004774934204760939, | |
| "learning_rate": 5.344707520891365e-05, | |
| "loss": 0.0001, | |
| "step": 4210 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "grad_norm": 0.0007342536700889468, | |
| "learning_rate": 5.3098885793871865e-05, | |
| "loss": 0.0001, | |
| "step": 4220 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "grad_norm": 0.6081188917160034, | |
| "learning_rate": 5.275069637883009e-05, | |
| "loss": 0.0006, | |
| "step": 4230 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "grad_norm": 0.0013682940043509007, | |
| "learning_rate": 5.24025069637883e-05, | |
| "loss": 0.0001, | |
| "step": 4240 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "grad_norm": 0.001264879247173667, | |
| "learning_rate": 5.205431754874652e-05, | |
| "loss": 0.0001, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "grad_norm": 0.0004952333983965218, | |
| "learning_rate": 5.170612813370473e-05, | |
| "loss": 0.0002, | |
| "step": 4260 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "grad_norm": 0.0011145187309011817, | |
| "learning_rate": 5.135793871866296e-05, | |
| "loss": 0.0002, | |
| "step": 4270 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "grad_norm": 0.0011305679799988866, | |
| "learning_rate": 5.100974930362117e-05, | |
| "loss": 0.0073, | |
| "step": 4280 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "grad_norm": 0.000979065429419279, | |
| "learning_rate": 5.066155988857939e-05, | |
| "loss": 0.0006, | |
| "step": 4290 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "grad_norm": 0.0009217975893989205, | |
| "learning_rate": 5.03133704735376e-05, | |
| "loss": 0.0001, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "eval_accuracy": 0.9827586206896551, | |
| "eval_loss": 0.1235894039273262, | |
| "eval_runtime": 35.7354, | |
| "eval_samples_per_second": 19.476, | |
| "eval_steps_per_second": 2.435, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.00048277797759510577, | |
| "learning_rate": 4.9965181058495826e-05, | |
| "loss": 0.0001, | |
| "step": 4310 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "grad_norm": 0.0013075217138975859, | |
| "learning_rate": 4.9616991643454045e-05, | |
| "loss": 0.0001, | |
| "step": 4320 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "grad_norm": 0.0005105934687890112, | |
| "learning_rate": 4.926880222841226e-05, | |
| "loss": 0.0001, | |
| "step": 4330 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "grad_norm": 0.013046924956142902, | |
| "learning_rate": 4.8920612813370476e-05, | |
| "loss": 0.0001, | |
| "step": 4340 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "grad_norm": 0.0009469912620261312, | |
| "learning_rate": 4.8572423398328694e-05, | |
| "loss": 0.0045, | |
| "step": 4350 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "grad_norm": 0.003529737703502178, | |
| "learning_rate": 4.8224233983286906e-05, | |
| "loss": 0.0001, | |
| "step": 4360 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "grad_norm": 0.0012883865274488926, | |
| "learning_rate": 4.7876044568245125e-05, | |
| "loss": 0.0001, | |
| "step": 4370 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 0.0005208416259847581, | |
| "learning_rate": 4.7527855153203343e-05, | |
| "loss": 0.0001, | |
| "step": 4380 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "grad_norm": 0.004692881368100643, | |
| "learning_rate": 4.717966573816156e-05, | |
| "loss": 0.0063, | |
| "step": 4390 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "grad_norm": 0.043299201875925064, | |
| "learning_rate": 4.6831476323119774e-05, | |
| "loss": 0.0001, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "eval_accuracy": 0.985632183908046, | |
| "eval_loss": 0.09321270138025284, | |
| "eval_runtime": 35.0423, | |
| "eval_samples_per_second": 19.862, | |
| "eval_steps_per_second": 2.483, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "grad_norm": 0.0009556158329360187, | |
| "learning_rate": 4.648328690807799e-05, | |
| "loss": 0.0001, | |
| "step": 4410 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "grad_norm": 4.4719648361206055, | |
| "learning_rate": 4.613509749303621e-05, | |
| "loss": 0.0047, | |
| "step": 4420 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "grad_norm": 0.0004217967507429421, | |
| "learning_rate": 4.582172701949861e-05, | |
| "loss": 0.0193, | |
| "step": 4430 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "grad_norm": 0.011219095438718796, | |
| "learning_rate": 4.547353760445683e-05, | |
| "loss": 0.0175, | |
| "step": 4440 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "grad_norm": 0.0016105608083307743, | |
| "learning_rate": 4.5125348189415044e-05, | |
| "loss": 0.0439, | |
| "step": 4450 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "grad_norm": 0.0010759801371023059, | |
| "learning_rate": 4.477715877437326e-05, | |
| "loss": 0.0001, | |
| "step": 4460 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "grad_norm": 0.0011237241560593247, | |
| "learning_rate": 4.442896935933148e-05, | |
| "loss": 0.0001, | |
| "step": 4470 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "grad_norm": 0.0017227695789188147, | |
| "learning_rate": 4.40807799442897e-05, | |
| "loss": 0.0001, | |
| "step": 4480 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "grad_norm": 0.0004417230957187712, | |
| "learning_rate": 4.373259052924791e-05, | |
| "loss": 0.0001, | |
| "step": 4490 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "grad_norm": 0.0016022748313844204, | |
| "learning_rate": 4.338440111420613e-05, | |
| "loss": 0.0001, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "eval_accuracy": 0.9798850574712644, | |
| "eval_loss": 0.09920793026685715, | |
| "eval_runtime": 35.9448, | |
| "eval_samples_per_second": 19.363, | |
| "eval_steps_per_second": 2.42, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 3.14, | |
| "grad_norm": 0.0005612379754893482, | |
| "learning_rate": 4.303621169916435e-05, | |
| "loss": 0.0001, | |
| "step": 4510 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 0.0011157976696267724, | |
| "learning_rate": 4.268802228412256e-05, | |
| "loss": 0.0001, | |
| "step": 4520 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 0.0010938127525150776, | |
| "learning_rate": 4.233983286908078e-05, | |
| "loss": 0.0001, | |
| "step": 4530 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "grad_norm": 0.0006874927203170955, | |
| "learning_rate": 4.1991643454039e-05, | |
| "loss": 0.0001, | |
| "step": 4540 | |
| }, | |
| { | |
| "epoch": 3.17, | |
| "grad_norm": 0.002226391341537237, | |
| "learning_rate": 4.164345403899722e-05, | |
| "loss": 0.0013, | |
| "step": 4550 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "grad_norm": 0.0004934744210913777, | |
| "learning_rate": 4.129526462395543e-05, | |
| "loss": 0.0002, | |
| "step": 4560 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "grad_norm": 0.00039926779572851956, | |
| "learning_rate": 4.094707520891365e-05, | |
| "loss": 0.0001, | |
| "step": 4570 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "grad_norm": 0.0009613159345462918, | |
| "learning_rate": 4.0598885793871866e-05, | |
| "loss": 0.0033, | |
| "step": 4580 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 0.0009614640148356557, | |
| "learning_rate": 4.0250696378830085e-05, | |
| "loss": 0.0005, | |
| "step": 4590 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 0.0007666044984944165, | |
| "learning_rate": 3.9902506963788303e-05, | |
| "loss": 0.0001, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "eval_accuracy": 0.9827586206896551, | |
| "eval_loss": 0.09604837745428085, | |
| "eval_runtime": 35.3895, | |
| "eval_samples_per_second": 19.667, | |
| "eval_steps_per_second": 2.458, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "grad_norm": 0.6162603497505188, | |
| "learning_rate": 3.955431754874652e-05, | |
| "loss": 0.0003, | |
| "step": 4610 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "grad_norm": 0.0006573472637683153, | |
| "learning_rate": 3.920612813370474e-05, | |
| "loss": 0.0001, | |
| "step": 4620 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "grad_norm": 0.0006694823387078941, | |
| "learning_rate": 3.885793871866296e-05, | |
| "loss": 0.0001, | |
| "step": 4630 | |
| }, | |
| { | |
| "epoch": 3.23, | |
| "grad_norm": 0.0006889757933095098, | |
| "learning_rate": 3.850974930362117e-05, | |
| "loss": 0.0001, | |
| "step": 4640 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "grad_norm": 0.0007866056403145194, | |
| "learning_rate": 3.816155988857939e-05, | |
| "loss": 0.0005, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "grad_norm": 0.0006213219021447003, | |
| "learning_rate": 3.781337047353761e-05, | |
| "loss": 0.0001, | |
| "step": 4660 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "grad_norm": 0.0006275447667576373, | |
| "learning_rate": 3.746518105849583e-05, | |
| "loss": 0.0001, | |
| "step": 4670 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "grad_norm": 0.000448089704150334, | |
| "learning_rate": 3.711699164345404e-05, | |
| "loss": 0.0002, | |
| "step": 4680 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "grad_norm": 0.0015304009430110455, | |
| "learning_rate": 3.676880222841226e-05, | |
| "loss": 0.0001, | |
| "step": 4690 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "grad_norm": 0.06754755973815918, | |
| "learning_rate": 3.642061281337048e-05, | |
| "loss": 0.0001, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "eval_accuracy": 0.9798850574712644, | |
| "eval_loss": 0.11231694370508194, | |
| "eval_runtime": 36.4603, | |
| "eval_samples_per_second": 19.089, | |
| "eval_steps_per_second": 2.386, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "grad_norm": 0.001035011257044971, | |
| "learning_rate": 3.607242339832869e-05, | |
| "loss": 0.0001, | |
| "step": 4710 | |
| }, | |
| { | |
| "epoch": 3.29, | |
| "grad_norm": 0.00041941230301745236, | |
| "learning_rate": 3.572423398328691e-05, | |
| "loss": 0.0001, | |
| "step": 4720 | |
| }, | |
| { | |
| "epoch": 3.29, | |
| "grad_norm": 0.0006384252919815481, | |
| "learning_rate": 3.5376044568245126e-05, | |
| "loss": 0.0001, | |
| "step": 4730 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "grad_norm": 0.0006129765533842146, | |
| "learning_rate": 3.5027855153203345e-05, | |
| "loss": 0.0001, | |
| "step": 4740 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "grad_norm": 0.0009090271196328104, | |
| "learning_rate": 3.4679665738161556e-05, | |
| "loss": 0.0001, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "grad_norm": 0.0004404740175232291, | |
| "learning_rate": 3.4331476323119775e-05, | |
| "loss": 0.0001, | |
| "step": 4760 | |
| }, | |
| { | |
| "epoch": 3.32, | |
| "grad_norm": 0.0005690119578503072, | |
| "learning_rate": 3.3983286908077994e-05, | |
| "loss": 0.0001, | |
| "step": 4770 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "grad_norm": 0.0005757323815487325, | |
| "learning_rate": 3.363509749303621e-05, | |
| "loss": 0.0001, | |
| "step": 4780 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "grad_norm": 0.0005803864914923906, | |
| "learning_rate": 3.328690807799443e-05, | |
| "loss": 0.0001, | |
| "step": 4790 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "grad_norm": 0.0007648465107195079, | |
| "learning_rate": 3.293871866295265e-05, | |
| "loss": 0.0001, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "eval_accuracy": 0.9813218390804598, | |
| "eval_loss": 0.11066480726003647, | |
| "eval_runtime": 35.9909, | |
| "eval_samples_per_second": 19.338, | |
| "eval_steps_per_second": 2.417, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 3.35, | |
| "grad_norm": 0.00033829055610112846, | |
| "learning_rate": 3.259052924791087e-05, | |
| "loss": 0.0001, | |
| "step": 4810 | |
| }, | |
| { | |
| "epoch": 3.36, | |
| "grad_norm": 0.0030458769761025906, | |
| "learning_rate": 3.224233983286909e-05, | |
| "loss": 0.0003, | |
| "step": 4820 | |
| }, | |
| { | |
| "epoch": 3.36, | |
| "grad_norm": 0.0004884973168373108, | |
| "learning_rate": 3.18941504178273e-05, | |
| "loss": 0.0001, | |
| "step": 4830 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "grad_norm": 0.0005915808724239469, | |
| "learning_rate": 3.154596100278552e-05, | |
| "loss": 0.0, | |
| "step": 4840 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "grad_norm": 0.0005569536588154733, | |
| "learning_rate": 3.1197771587743737e-05, | |
| "loss": 0.0001, | |
| "step": 4850 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "grad_norm": 0.00037319512921385467, | |
| "learning_rate": 3.0849582172701955e-05, | |
| "loss": 0.0, | |
| "step": 4860 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "grad_norm": 0.0006390858325175941, | |
| "learning_rate": 3.050139275766017e-05, | |
| "loss": 0.0002, | |
| "step": 4870 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "grad_norm": 0.010524235665798187, | |
| "learning_rate": 3.0153203342618386e-05, | |
| "loss": 0.0001, | |
| "step": 4880 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "grad_norm": 0.0003795890952460468, | |
| "learning_rate": 2.98050139275766e-05, | |
| "loss": 0.0, | |
| "step": 4890 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "grad_norm": 0.0016755288233980536, | |
| "learning_rate": 2.945682451253482e-05, | |
| "loss": 0.0029, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "eval_accuracy": 0.9841954022988506, | |
| "eval_loss": 0.10405226796865463, | |
| "eval_runtime": 35.9093, | |
| "eval_samples_per_second": 19.382, | |
| "eval_steps_per_second": 2.423, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "grad_norm": 0.0005780430510640144, | |
| "learning_rate": 2.9108635097493035e-05, | |
| "loss": 0.0, | |
| "step": 4910 | |
| }, | |
| { | |
| "epoch": 3.43, | |
| "grad_norm": 0.0005223274347372353, | |
| "learning_rate": 2.8760445682451254e-05, | |
| "loss": 0.0001, | |
| "step": 4920 | |
| }, | |
| { | |
| "epoch": 3.43, | |
| "grad_norm": 0.0003509995876811445, | |
| "learning_rate": 2.841225626740947e-05, | |
| "loss": 0.0, | |
| "step": 4930 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "grad_norm": 0.0009933110559359193, | |
| "learning_rate": 2.8064066852367688e-05, | |
| "loss": 0.0001, | |
| "step": 4940 | |
| }, | |
| { | |
| "epoch": 3.45, | |
| "grad_norm": 0.0005258971359580755, | |
| "learning_rate": 2.7715877437325903e-05, | |
| "loss": 0.0001, | |
| "step": 4950 | |
| }, | |
| { | |
| "epoch": 3.45, | |
| "grad_norm": 0.0003142243658658117, | |
| "learning_rate": 2.736768802228412e-05, | |
| "loss": 0.0008, | |
| "step": 4960 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "grad_norm": 0.0010210133623331785, | |
| "learning_rate": 2.7019498607242337e-05, | |
| "loss": 0.0001, | |
| "step": 4970 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "grad_norm": 0.0005668088560923934, | |
| "learning_rate": 2.6671309192200562e-05, | |
| "loss": 0.0031, | |
| "step": 4980 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "grad_norm": 0.0004998073563911021, | |
| "learning_rate": 2.6323119777158778e-05, | |
| "loss": 0.0, | |
| "step": 4990 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "grad_norm": 0.0008013307233341038, | |
| "learning_rate": 2.5974930362116996e-05, | |
| "loss": 0.0001, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "eval_accuracy": 0.9827586206896551, | |
| "eval_loss": 0.10744819790124893, | |
| "eval_runtime": 35.6882, | |
| "eval_samples_per_second": 19.502, | |
| "eval_steps_per_second": 2.438, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "grad_norm": 0.0004506228433456272, | |
| "learning_rate": 2.562674094707521e-05, | |
| "loss": 0.0, | |
| "step": 5010 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "grad_norm": 0.000541824207175523, | |
| "learning_rate": 2.527855153203343e-05, | |
| "loss": 0.0248, | |
| "step": 5020 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "grad_norm": 0.0005250126123428345, | |
| "learning_rate": 2.4930362116991646e-05, | |
| "loss": 0.0, | |
| "step": 5030 | |
| }, | |
| { | |
| "epoch": 3.51, | |
| "grad_norm": 0.0003384416049811989, | |
| "learning_rate": 2.4582172701949864e-05, | |
| "loss": 0.0005, | |
| "step": 5040 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "grad_norm": 0.004039893392473459, | |
| "learning_rate": 2.423398328690808e-05, | |
| "loss": 0.0, | |
| "step": 5050 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "grad_norm": 0.0003602771903388202, | |
| "learning_rate": 2.3885793871866298e-05, | |
| "loss": 0.0001, | |
| "step": 5060 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "grad_norm": 0.000374146387912333, | |
| "learning_rate": 2.3537604456824514e-05, | |
| "loss": 0.0, | |
| "step": 5070 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "grad_norm": 0.00026975912624038756, | |
| "learning_rate": 2.318941504178273e-05, | |
| "loss": 0.0001, | |
| "step": 5080 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "grad_norm": 0.0005988151533529162, | |
| "learning_rate": 2.2841225626740948e-05, | |
| "loss": 0.0001, | |
| "step": 5090 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "grad_norm": 0.0007265285239554942, | |
| "learning_rate": 2.2493036211699163e-05, | |
| "loss": 0.0001, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "eval_accuracy": 0.9798850574712644, | |
| "eval_loss": 0.11111408472061157, | |
| "eval_runtime": 35.643, | |
| "eval_samples_per_second": 19.527, | |
| "eval_steps_per_second": 2.441, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 3.56, | |
| "grad_norm": 0.0004558263754006475, | |
| "learning_rate": 2.214484679665738e-05, | |
| "loss": 0.0, | |
| "step": 5110 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "grad_norm": 0.000497504835948348, | |
| "learning_rate": 2.17966573816156e-05, | |
| "loss": 0.0, | |
| "step": 5120 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "grad_norm": 0.017960894852876663, | |
| "learning_rate": 2.144846796657382e-05, | |
| "loss": 0.0004, | |
| "step": 5130 | |
| }, | |
| { | |
| "epoch": 3.58, | |
| "grad_norm": 0.0007236815872602165, | |
| "learning_rate": 2.1100278551532034e-05, | |
| "loss": 0.0001, | |
| "step": 5140 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "grad_norm": 0.001991676865145564, | |
| "learning_rate": 2.0752089136490253e-05, | |
| "loss": 0.0001, | |
| "step": 5150 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "grad_norm": 0.0005619129515253007, | |
| "learning_rate": 2.0403899721448468e-05, | |
| "loss": 0.0001, | |
| "step": 5160 | |
| }, | |
| { | |
| "epoch": 3.6, | |
| "grad_norm": 0.0004067553672939539, | |
| "learning_rate": 2.0055710306406687e-05, | |
| "loss": 0.0001, | |
| "step": 5170 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "grad_norm": 0.06427491456270218, | |
| "learning_rate": 1.9707520891364902e-05, | |
| "loss": 0.0085, | |
| "step": 5180 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "grad_norm": 0.0005257455050013959, | |
| "learning_rate": 1.935933147632312e-05, | |
| "loss": 0.0001, | |
| "step": 5190 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "grad_norm": 0.004010786768049002, | |
| "learning_rate": 1.9011142061281336e-05, | |
| "loss": 0.0001, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "eval_accuracy": 0.978448275862069, | |
| "eval_loss": 0.10880725830793381, | |
| "eval_runtime": 35.7466, | |
| "eval_samples_per_second": 19.47, | |
| "eval_steps_per_second": 2.434, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "grad_norm": 0.0003503792395349592, | |
| "learning_rate": 1.8662952646239558e-05, | |
| "loss": 0.0001, | |
| "step": 5210 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "grad_norm": 0.0003166968817822635, | |
| "learning_rate": 1.8314763231197773e-05, | |
| "loss": 0.0002, | |
| "step": 5220 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "grad_norm": 0.00039611879037693143, | |
| "learning_rate": 1.7966573816155992e-05, | |
| "loss": 0.0001, | |
| "step": 5230 | |
| }, | |
| { | |
| "epoch": 3.65, | |
| "grad_norm": 0.0004587644652929157, | |
| "learning_rate": 1.7618384401114207e-05, | |
| "loss": 0.0002, | |
| "step": 5240 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "grad_norm": 0.000461429386632517, | |
| "learning_rate": 1.7270194986072426e-05, | |
| "loss": 0.0002, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "grad_norm": 0.8542178869247437, | |
| "learning_rate": 1.692200557103064e-05, | |
| "loss": 0.0008, | |
| "step": 5260 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "grad_norm": 0.00043836917029693723, | |
| "learning_rate": 1.6573816155988857e-05, | |
| "loss": 0.0, | |
| "step": 5270 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "grad_norm": 0.001168058137409389, | |
| "learning_rate": 1.6225626740947075e-05, | |
| "loss": 0.0004, | |
| "step": 5280 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "grad_norm": 0.0005670097307302058, | |
| "learning_rate": 1.587743732590529e-05, | |
| "loss": 0.0001, | |
| "step": 5290 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "grad_norm": 0.020862262696027756, | |
| "learning_rate": 1.552924791086351e-05, | |
| "loss": 0.0001, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "eval_accuracy": 0.9813218390804598, | |
| "eval_loss": 0.09361202269792557, | |
| "eval_runtime": 35.5593, | |
| "eval_samples_per_second": 19.573, | |
| "eval_steps_per_second": 2.447, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "grad_norm": 0.00047057002666406333, | |
| "learning_rate": 1.518105849582173e-05, | |
| "loss": 0.0102, | |
| "step": 5310 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "grad_norm": 0.0008214833214879036, | |
| "learning_rate": 1.4832869080779947e-05, | |
| "loss": 0.0001, | |
| "step": 5320 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "grad_norm": 0.007291738875210285, | |
| "learning_rate": 1.4484679665738164e-05, | |
| "loss": 0.0, | |
| "step": 5330 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "grad_norm": 0.000499303569085896, | |
| "learning_rate": 1.413649025069638e-05, | |
| "loss": 0.0, | |
| "step": 5340 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "grad_norm": 0.000553811842110008, | |
| "learning_rate": 1.3788300835654596e-05, | |
| "loss": 0.0, | |
| "step": 5350 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "grad_norm": 0.0004532486782409251, | |
| "learning_rate": 1.3440111420612813e-05, | |
| "loss": 0.0, | |
| "step": 5360 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "grad_norm": 0.00035664939787238836, | |
| "learning_rate": 1.309192200557103e-05, | |
| "loss": 0.0001, | |
| "step": 5370 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "grad_norm": 0.0002885190478991717, | |
| "learning_rate": 1.2743732590529247e-05, | |
| "loss": 0.0, | |
| "step": 5380 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "grad_norm": 0.0007975110784173012, | |
| "learning_rate": 1.2395543175487466e-05, | |
| "loss": 0.0001, | |
| "step": 5390 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "grad_norm": 0.0006704545812681317, | |
| "learning_rate": 1.2047353760445683e-05, | |
| "loss": 0.0001, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "eval_accuracy": 0.9798850574712644, | |
| "eval_loss": 0.09153711050748825, | |
| "eval_runtime": 35.5171, | |
| "eval_samples_per_second": 19.596, | |
| "eval_steps_per_second": 2.45, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "grad_norm": 0.0008886194555088878, | |
| "learning_rate": 1.16991643454039e-05, | |
| "loss": 0.0, | |
| "step": 5410 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "grad_norm": 0.051304157823324203, | |
| "learning_rate": 1.1350974930362116e-05, | |
| "loss": 0.0001, | |
| "step": 5420 | |
| }, | |
| { | |
| "epoch": 3.78, | |
| "grad_norm": 0.00032604343141429126, | |
| "learning_rate": 1.1002785515320335e-05, | |
| "loss": 0.0001, | |
| "step": 5430 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "grad_norm": 0.0004452233260963112, | |
| "learning_rate": 1.0654596100278552e-05, | |
| "loss": 0.0001, | |
| "step": 5440 | |
| }, | |
| { | |
| "epoch": 3.8, | |
| "grad_norm": 0.001050635357387364, | |
| "learning_rate": 1.0306406685236769e-05, | |
| "loss": 0.0, | |
| "step": 5450 | |
| }, | |
| { | |
| "epoch": 3.8, | |
| "grad_norm": 0.0005059978575445712, | |
| "learning_rate": 9.958217270194986e-06, | |
| "loss": 0.0, | |
| "step": 5460 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "grad_norm": 0.00035790822585113347, | |
| "learning_rate": 9.610027855153205e-06, | |
| "loss": 0.0001, | |
| "step": 5470 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "grad_norm": 0.0065688504837453365, | |
| "learning_rate": 9.261838440111422e-06, | |
| "loss": 0.0001, | |
| "step": 5480 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "grad_norm": 0.01191110722720623, | |
| "learning_rate": 8.913649025069639e-06, | |
| "loss": 0.0004, | |
| "step": 5490 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "grad_norm": 0.0005021314136683941, | |
| "learning_rate": 8.565459610027856e-06, | |
| "loss": 0.0001, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "eval_accuracy": 0.9798850574712644, | |
| "eval_loss": 0.08972268551588058, | |
| "eval_runtime": 35.479, | |
| "eval_samples_per_second": 19.617, | |
| "eval_steps_per_second": 2.452, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "grad_norm": 0.0006523649790324271, | |
| "learning_rate": 8.217270194986073e-06, | |
| "loss": 0.0001, | |
| "step": 5510 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "grad_norm": 0.0007299577700905502, | |
| "learning_rate": 7.869080779944291e-06, | |
| "loss": 0.0001, | |
| "step": 5520 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "grad_norm": 0.0002770805440377444, | |
| "learning_rate": 7.5208913649025075e-06, | |
| "loss": 0.0413, | |
| "step": 5530 | |
| }, | |
| { | |
| "epoch": 3.86, | |
| "grad_norm": 0.002696505980566144, | |
| "learning_rate": 7.1727019498607245e-06, | |
| "loss": 0.0001, | |
| "step": 5540 | |
| }, | |
| { | |
| "epoch": 3.86, | |
| "grad_norm": 0.002345402492210269, | |
| "learning_rate": 6.8245125348189415e-06, | |
| "loss": 0.0, | |
| "step": 5550 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "grad_norm": 0.001016572816297412, | |
| "learning_rate": 6.4763231197771585e-06, | |
| "loss": 0.0001, | |
| "step": 5560 | |
| }, | |
| { | |
| "epoch": 3.88, | |
| "grad_norm": 0.001638455200009048, | |
| "learning_rate": 6.128133704735376e-06, | |
| "loss": 0.0001, | |
| "step": 5570 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "grad_norm": 0.0015767073491588235, | |
| "learning_rate": 5.779944289693594e-06, | |
| "loss": 0.0001, | |
| "step": 5580 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "grad_norm": 0.000313255179207772, | |
| "learning_rate": 5.43175487465181e-06, | |
| "loss": 0.0, | |
| "step": 5590 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "grad_norm": 0.0012458935379981995, | |
| "learning_rate": 5.083565459610028e-06, | |
| "loss": 0.0001, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "eval_accuracy": 0.9770114942528736, | |
| "eval_loss": 0.08747635781764984, | |
| "eval_runtime": 35.3235, | |
| "eval_samples_per_second": 19.704, | |
| "eval_steps_per_second": 2.463, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "grad_norm": 0.0006569348042830825, | |
| "learning_rate": 4.735376044568245e-06, | |
| "loss": 0.0001, | |
| "step": 5610 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "grad_norm": 0.000606011541094631, | |
| "learning_rate": 4.387186629526462e-06, | |
| "loss": 0.0001, | |
| "step": 5620 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "grad_norm": 1.318962574005127, | |
| "learning_rate": 4.03899721448468e-06, | |
| "loss": 0.0031, | |
| "step": 5630 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "grad_norm": 0.00032933251350186765, | |
| "learning_rate": 3.690807799442897e-06, | |
| "loss": 0.0, | |
| "step": 5640 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "grad_norm": 0.0018586514052003622, | |
| "learning_rate": 3.3426183844011147e-06, | |
| "loss": 0.0005, | |
| "step": 5650 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "grad_norm": 0.0009259448852390051, | |
| "learning_rate": 2.9944289693593313e-06, | |
| "loss": 0.0001, | |
| "step": 5660 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "grad_norm": 0.0009393952204845846, | |
| "learning_rate": 2.6462395543175487e-06, | |
| "loss": 0.0001, | |
| "step": 5670 | |
| }, | |
| { | |
| "epoch": 3.96, | |
| "grad_norm": 0.00043099027243442833, | |
| "learning_rate": 2.298050139275766e-06, | |
| "loss": 0.0001, | |
| "step": 5680 | |
| }, | |
| { | |
| "epoch": 3.96, | |
| "grad_norm": 0.00032449286663904786, | |
| "learning_rate": 1.9498607242339835e-06, | |
| "loss": 0.0, | |
| "step": 5690 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "grad_norm": 0.0003699425724335015, | |
| "learning_rate": 1.6016713091922007e-06, | |
| "loss": 0.0, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "eval_accuracy": 0.978448275862069, | |
| "eval_loss": 0.08557858318090439, | |
| "eval_runtime": 35.5296, | |
| "eval_samples_per_second": 19.589, | |
| "eval_steps_per_second": 2.449, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "grad_norm": 0.0005763766821473837, | |
| "learning_rate": 1.253481894150418e-06, | |
| "loss": 0.0001, | |
| "step": 5710 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "grad_norm": 0.0004730022919829935, | |
| "learning_rate": 9.052924791086352e-07, | |
| "loss": 0.0001, | |
| "step": 5720 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "grad_norm": 0.0002761252399068326, | |
| "learning_rate": 5.571030640668524e-07, | |
| "loss": 0.0001, | |
| "step": 5730 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.002425793092697859, | |
| "learning_rate": 2.0891364902506967e-07, | |
| "loss": 0.0001, | |
| "step": 5740 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "step": 5744, | |
| "total_flos": 2.099744383597491e+19, | |
| "train_loss": 0.053249289760298635, | |
| "train_runtime": 10114.0647, | |
| "train_samples_per_second": 9.084, | |
| "train_steps_per_second": 0.568 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 5744, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 100, | |
| "total_flos": 2.099744383597491e+19, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |