diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,9639 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.9983597594313833, + "eval_steps": 500, + "global_step": 1371, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.002186987424822307, + "grad_norm": 0.09332207590341568, + "learning_rate": 2.1739130434782607e-06, + "loss": 0.7573, + "step": 1 + }, + { + "epoch": 0.004373974849644614, + "grad_norm": 0.062498364597558975, + "learning_rate": 4.347826086956521e-06, + "loss": 0.8138, + "step": 2 + }, + { + "epoch": 0.0065609622744669215, + "grad_norm": 0.12430048733949661, + "learning_rate": 6.521739130434782e-06, + "loss": 0.8147, + "step": 3 + }, + { + "epoch": 0.008747949699289229, + "grad_norm": 0.10845830291509628, + "learning_rate": 8.695652173913043e-06, + "loss": 0.6706, + "step": 4 + }, + { + "epoch": 0.010934937124111536, + "grad_norm": 0.06947065889835358, + "learning_rate": 1.0869565217391303e-05, + "loss": 0.7483, + "step": 5 + }, + { + "epoch": 0.013121924548933843, + "grad_norm": 0.06961754709482193, + "learning_rate": 1.3043478260869564e-05, + "loss": 1.0006, + "step": 6 + }, + { + "epoch": 0.01530891197375615, + "grad_norm": 0.10440132021903992, + "learning_rate": 1.5217391304347826e-05, + "loss": 0.6702, + "step": 7 + }, + { + "epoch": 0.017495899398578457, + "grad_norm": 0.11943437159061432, + "learning_rate": 1.7391304347826085e-05, + "loss": 0.9541, + "step": 8 + }, + { + "epoch": 0.019682886823400764, + "grad_norm": 0.12423786520957947, + "learning_rate": 1.9565217391304346e-05, + "loss": 0.9582, + "step": 9 + }, + { + "epoch": 0.02186987424822307, + "grad_norm": 0.07904332876205444, + "learning_rate": 2.1739130434782607e-05, + "loss": 0.9368, + "step": 10 + }, + { + "epoch": 0.02405686167304538, + "grad_norm": 0.08524958044290543, + "learning_rate": 2.3913043478260864e-05, + "loss": 0.838, + "step": 11 + }, + { + "epoch": 0.026243849097867686, + "grad_norm": 0.10406026989221573, + "learning_rate": 2.6086956521739128e-05, + "loss": 0.8995, + "step": 12 + }, + { + "epoch": 0.028430836522689993, + "grad_norm": 0.10961747169494629, + "learning_rate": 2.826086956521739e-05, + "loss": 0.7795, + "step": 13 + }, + { + "epoch": 0.0306178239475123, + "grad_norm": 0.1033061072230339, + "learning_rate": 3.0434782608695653e-05, + "loss": 0.9524, + "step": 14 + }, + { + "epoch": 0.03280481137233461, + "grad_norm": 0.18889060616493225, + "learning_rate": 3.260869565217391e-05, + "loss": 0.6951, + "step": 15 + }, + { + "epoch": 0.034991798797156914, + "grad_norm": 0.09147127717733383, + "learning_rate": 3.478260869565217e-05, + "loss": 0.8179, + "step": 16 + }, + { + "epoch": 0.037178786221979225, + "grad_norm": 0.0884971171617508, + "learning_rate": 3.695652173913043e-05, + "loss": 0.8794, + "step": 17 + }, + { + "epoch": 0.03936577364680153, + "grad_norm": 0.0958687961101532, + "learning_rate": 3.913043478260869e-05, + "loss": 0.7863, + "step": 18 + }, + { + "epoch": 0.04155276107162384, + "grad_norm": 0.09789350628852844, + "learning_rate": 4.130434782608695e-05, + "loss": 0.967, + "step": 19 + }, + { + "epoch": 0.04373974849644614, + "grad_norm": 0.10571072995662689, + "learning_rate": 4.3478260869565214e-05, + "loss": 0.7586, + "step": 20 + }, + { + "epoch": 0.045926735921268454, + "grad_norm": 0.09979735314846039, + "learning_rate": 4.5652173913043474e-05, + "loss": 0.8164, + "step": 21 + }, + { + "epoch": 0.04811372334609076, + "grad_norm": 0.08504072576761246, + "learning_rate": 4.782608695652173e-05, + "loss": 0.799, + "step": 22 + }, + { + "epoch": 0.05030071077091307, + "grad_norm": 0.0932287871837616, + "learning_rate": 4.9999999999999996e-05, + "loss": 0.924, + "step": 23 + }, + { + "epoch": 0.05248769819573537, + "grad_norm": 0.09157637506723404, + "learning_rate": 5.2173913043478256e-05, + "loss": 0.9764, + "step": 24 + }, + { + "epoch": 0.05467468562055768, + "grad_norm": 0.0877324640750885, + "learning_rate": 5.434782608695652e-05, + "loss": 0.6934, + "step": 25 + }, + { + "epoch": 0.056861673045379986, + "grad_norm": 0.09820912033319473, + "learning_rate": 5.652173913043478e-05, + "loss": 0.8133, + "step": 26 + }, + { + "epoch": 0.0590486604702023, + "grad_norm": 0.11378416419029236, + "learning_rate": 5.869565217391304e-05, + "loss": 0.9262, + "step": 27 + }, + { + "epoch": 0.0612356478950246, + "grad_norm": 0.11368629336357117, + "learning_rate": 6.0869565217391306e-05, + "loss": 0.8996, + "step": 28 + }, + { + "epoch": 0.0634226353198469, + "grad_norm": 0.07544882595539093, + "learning_rate": 6.304347826086956e-05, + "loss": 0.7328, + "step": 29 + }, + { + "epoch": 0.06560962274466922, + "grad_norm": 0.10010924935340881, + "learning_rate": 6.521739130434782e-05, + "loss": 0.8376, + "step": 30 + }, + { + "epoch": 0.06779661016949153, + "grad_norm": 0.09993722289800644, + "learning_rate": 6.739130434782608e-05, + "loss": 0.974, + "step": 31 + }, + { + "epoch": 0.06998359759431383, + "grad_norm": 0.1027640700340271, + "learning_rate": 6.956521739130434e-05, + "loss": 0.9779, + "step": 32 + }, + { + "epoch": 0.07217058501913615, + "grad_norm": 0.11024461686611176, + "learning_rate": 7.17391304347826e-05, + "loss": 0.7953, + "step": 33 + }, + { + "epoch": 0.07435757244395845, + "grad_norm": 0.2178024798631668, + "learning_rate": 7.391304347826086e-05, + "loss": 1.0378, + "step": 34 + }, + { + "epoch": 0.07654455986878075, + "grad_norm": 0.14434164762496948, + "learning_rate": 7.608695652173912e-05, + "loss": 0.8618, + "step": 35 + }, + { + "epoch": 0.07873154729360306, + "grad_norm": 0.07408539950847626, + "learning_rate": 7.826086956521738e-05, + "loss": 0.8308, + "step": 36 + }, + { + "epoch": 0.08091853471842538, + "grad_norm": 0.13230173289775848, + "learning_rate": 8.043478260869566e-05, + "loss": 0.9686, + "step": 37 + }, + { + "epoch": 0.08310552214324768, + "grad_norm": 0.09420439600944519, + "learning_rate": 8.26086956521739e-05, + "loss": 0.9324, + "step": 38 + }, + { + "epoch": 0.08529250956806998, + "grad_norm": 0.1116195097565651, + "learning_rate": 8.478260869565217e-05, + "loss": 0.8334, + "step": 39 + }, + { + "epoch": 0.08747949699289229, + "grad_norm": 0.07256518304347992, + "learning_rate": 8.695652173913043e-05, + "loss": 0.7114, + "step": 40 + }, + { + "epoch": 0.0896664844177146, + "grad_norm": 0.08038460463285446, + "learning_rate": 8.913043478260869e-05, + "loss": 0.8816, + "step": 41 + }, + { + "epoch": 0.09185347184253691, + "grad_norm": 0.08240234851837158, + "learning_rate": 9.130434782608695e-05, + "loss": 0.7892, + "step": 42 + }, + { + "epoch": 0.09404045926735921, + "grad_norm": 0.13832779228687286, + "learning_rate": 9.347826086956521e-05, + "loss": 1.024, + "step": 43 + }, + { + "epoch": 0.09622744669218151, + "grad_norm": 0.10372775048017502, + "learning_rate": 9.565217391304346e-05, + "loss": 0.8229, + "step": 44 + }, + { + "epoch": 0.09841443411700383, + "grad_norm": 0.08920962363481522, + "learning_rate": 9.782608695652173e-05, + "loss": 0.7234, + "step": 45 + }, + { + "epoch": 0.10060142154182614, + "grad_norm": 0.09177133440971375, + "learning_rate": 9.999999999999999e-05, + "loss": 0.8189, + "step": 46 + }, + { + "epoch": 0.10278840896664844, + "grad_norm": 0.06947428733110428, + "learning_rate": 0.00010217391304347825, + "loss": 0.8287, + "step": 47 + }, + { + "epoch": 0.10497539639147074, + "grad_norm": 0.13609616458415985, + "learning_rate": 0.00010434782608695651, + "loss": 0.9545, + "step": 48 + }, + { + "epoch": 0.10716238381629306, + "grad_norm": 0.07964623719453812, + "learning_rate": 0.00010652173913043477, + "loss": 0.9566, + "step": 49 + }, + { + "epoch": 0.10934937124111536, + "grad_norm": 0.12667542695999146, + "learning_rate": 0.00010869565217391303, + "loss": 0.9271, + "step": 50 + }, + { + "epoch": 0.11153635866593767, + "grad_norm": 0.1091320812702179, + "learning_rate": 0.00011086956521739128, + "loss": 0.9148, + "step": 51 + }, + { + "epoch": 0.11372334609075997, + "grad_norm": 0.09369814395904541, + "learning_rate": 0.00011304347826086956, + "loss": 1.0456, + "step": 52 + }, + { + "epoch": 0.11591033351558229, + "grad_norm": 0.10462196916341782, + "learning_rate": 0.00011521739130434782, + "loss": 0.8345, + "step": 53 + }, + { + "epoch": 0.1180973209404046, + "grad_norm": 0.15574349462985992, + "learning_rate": 0.00011739130434782608, + "loss": 0.9588, + "step": 54 + }, + { + "epoch": 0.1202843083652269, + "grad_norm": 0.08469482511281967, + "learning_rate": 0.00011956521739130434, + "loss": 0.8096, + "step": 55 + }, + { + "epoch": 0.1224712957900492, + "grad_norm": 0.10883580148220062, + "learning_rate": 0.00012173913043478261, + "loss": 1.0896, + "step": 56 + }, + { + "epoch": 0.12465828321487152, + "grad_norm": 0.08464660495519638, + "learning_rate": 0.00012391304347826086, + "loss": 0.6706, + "step": 57 + }, + { + "epoch": 0.1268452706396938, + "grad_norm": 0.05837499722838402, + "learning_rate": 0.00012608695652173912, + "loss": 0.7906, + "step": 58 + }, + { + "epoch": 0.12903225806451613, + "grad_norm": 0.09381724894046783, + "learning_rate": 0.00012826086956521738, + "loss": 0.8247, + "step": 59 + }, + { + "epoch": 0.13121924548933844, + "grad_norm": 0.08791802823543549, + "learning_rate": 0.00013043478260869564, + "loss": 0.8263, + "step": 60 + }, + { + "epoch": 0.13340623291416073, + "grad_norm": 0.08594363182783127, + "learning_rate": 0.0001326086956521739, + "loss": 0.8444, + "step": 61 + }, + { + "epoch": 0.13559322033898305, + "grad_norm": 0.11723948270082474, + "learning_rate": 0.00013478260869565216, + "loss": 0.903, + "step": 62 + }, + { + "epoch": 0.13778020776380537, + "grad_norm": 0.1138775497674942, + "learning_rate": 0.00013695652173913042, + "loss": 1.0796, + "step": 63 + }, + { + "epoch": 0.13996719518862766, + "grad_norm": 0.09174849838018417, + "learning_rate": 0.00013913043478260868, + "loss": 0.8862, + "step": 64 + }, + { + "epoch": 0.14215418261344998, + "grad_norm": 0.09780547022819519, + "learning_rate": 0.00014130434782608694, + "loss": 0.9289, + "step": 65 + }, + { + "epoch": 0.1443411700382723, + "grad_norm": 0.10363791882991791, + "learning_rate": 0.0001434782608695652, + "loss": 0.8324, + "step": 66 + }, + { + "epoch": 0.14652815746309458, + "grad_norm": 0.0724271908402443, + "learning_rate": 0.00014565217391304347, + "loss": 0.7952, + "step": 67 + }, + { + "epoch": 0.1487151448879169, + "grad_norm": 0.13906632363796234, + "learning_rate": 0.00014782608695652173, + "loss": 0.8021, + "step": 68 + }, + { + "epoch": 0.1509021323127392, + "grad_norm": 0.1022089347243309, + "learning_rate": 0.00015, + "loss": 0.8259, + "step": 69 + }, + { + "epoch": 0.1530891197375615, + "grad_norm": 0.08113662898540497, + "learning_rate": 0.00015217391304347825, + "loss": 0.7506, + "step": 70 + }, + { + "epoch": 0.15527610716238383, + "grad_norm": 0.09506493806838989, + "learning_rate": 0.00015434782608695648, + "loss": 0.7564, + "step": 71 + }, + { + "epoch": 0.15746309458720611, + "grad_norm": 0.09015592187643051, + "learning_rate": 0.00015652173913043477, + "loss": 0.9507, + "step": 72 + }, + { + "epoch": 0.15965008201202843, + "grad_norm": 0.09472546726465225, + "learning_rate": 0.00015869565217391303, + "loss": 0.8737, + "step": 73 + }, + { + "epoch": 0.16183706943685075, + "grad_norm": 0.10876452177762985, + "learning_rate": 0.00016086956521739132, + "loss": 1.093, + "step": 74 + }, + { + "epoch": 0.16402405686167304, + "grad_norm": 0.0965154692530632, + "learning_rate": 0.00016304347826086955, + "loss": 0.8339, + "step": 75 + }, + { + "epoch": 0.16621104428649536, + "grad_norm": 0.09360430389642715, + "learning_rate": 0.0001652173913043478, + "loss": 0.8858, + "step": 76 + }, + { + "epoch": 0.16839803171131765, + "grad_norm": 0.08573499321937561, + "learning_rate": 0.00016739130434782607, + "loss": 0.8819, + "step": 77 + }, + { + "epoch": 0.17058501913613996, + "grad_norm": 0.10666946321725845, + "learning_rate": 0.00016956521739130433, + "loss": 0.8713, + "step": 78 + }, + { + "epoch": 0.17277200656096228, + "grad_norm": 0.09337878972291946, + "learning_rate": 0.0001717391304347826, + "loss": 0.7964, + "step": 79 + }, + { + "epoch": 0.17495899398578457, + "grad_norm": 0.10644929856061935, + "learning_rate": 0.00017391304347826085, + "loss": 0.842, + "step": 80 + }, + { + "epoch": 0.1771459814106069, + "grad_norm": 0.1111232116818428, + "learning_rate": 0.00017608695652173914, + "loss": 0.8313, + "step": 81 + }, + { + "epoch": 0.1793329688354292, + "grad_norm": 0.14369149506092072, + "learning_rate": 0.00017826086956521738, + "loss": 0.8863, + "step": 82 + }, + { + "epoch": 0.1815199562602515, + "grad_norm": 0.07881738990545273, + "learning_rate": 0.00018043478260869564, + "loss": 0.8433, + "step": 83 + }, + { + "epoch": 0.18370694368507381, + "grad_norm": 0.07510428130626678, + "learning_rate": 0.0001826086956521739, + "loss": 0.6772, + "step": 84 + }, + { + "epoch": 0.1858939311098961, + "grad_norm": 0.11610127240419388, + "learning_rate": 0.00018478260869565216, + "loss": 1.0949, + "step": 85 + }, + { + "epoch": 0.18808091853471842, + "grad_norm": 0.09916312992572784, + "learning_rate": 0.00018695652173913042, + "loss": 0.8314, + "step": 86 + }, + { + "epoch": 0.19026790595954074, + "grad_norm": 0.09361336380243301, + "learning_rate": 0.00018913043478260868, + "loss": 0.818, + "step": 87 + }, + { + "epoch": 0.19245489338436303, + "grad_norm": 0.08807317912578583, + "learning_rate": 0.0001913043478260869, + "loss": 0.781, + "step": 88 + }, + { + "epoch": 0.19464188080918535, + "grad_norm": 0.08263598382472992, + "learning_rate": 0.0001934782608695652, + "loss": 0.7621, + "step": 89 + }, + { + "epoch": 0.19682886823400766, + "grad_norm": 0.07734239846467972, + "learning_rate": 0.00019565217391304346, + "loss": 0.8057, + "step": 90 + }, + { + "epoch": 0.19901585565882995, + "grad_norm": 0.10795190930366516, + "learning_rate": 0.00019782608695652172, + "loss": 0.7096, + "step": 91 + }, + { + "epoch": 0.20120284308365227, + "grad_norm": 0.11491473019123077, + "learning_rate": 0.00019999999999999998, + "loss": 1.0123, + "step": 92 + }, + { + "epoch": 0.2033898305084746, + "grad_norm": 0.08306930959224701, + "learning_rate": 0.00020217391304347824, + "loss": 0.6648, + "step": 93 + }, + { + "epoch": 0.20557681793329688, + "grad_norm": 0.07309922575950623, + "learning_rate": 0.0002043478260869565, + "loss": 0.8683, + "step": 94 + }, + { + "epoch": 0.2077638053581192, + "grad_norm": 0.07343105226755142, + "learning_rate": 0.00020652173913043474, + "loss": 0.7169, + "step": 95 + }, + { + "epoch": 0.2099507927829415, + "grad_norm": 0.09441924840211868, + "learning_rate": 0.00020869565217391303, + "loss": 0.7629, + "step": 96 + }, + { + "epoch": 0.2121377802077638, + "grad_norm": 0.12152019888162613, + "learning_rate": 0.00021086956521739129, + "loss": 0.737, + "step": 97 + }, + { + "epoch": 0.21432476763258612, + "grad_norm": 0.08459758013486862, + "learning_rate": 0.00021304347826086955, + "loss": 0.7285, + "step": 98 + }, + { + "epoch": 0.2165117550574084, + "grad_norm": 0.10100120306015015, + "learning_rate": 0.0002152173913043478, + "loss": 0.8867, + "step": 99 + }, + { + "epoch": 0.21869874248223073, + "grad_norm": 0.10409538447856903, + "learning_rate": 0.00021739130434782607, + "loss": 0.8306, + "step": 100 + }, + { + "epoch": 0.22088572990705305, + "grad_norm": 0.17957785725593567, + "learning_rate": 0.00021956521739130433, + "loss": 0.835, + "step": 101 + }, + { + "epoch": 0.22307271733187534, + "grad_norm": 0.1029127910733223, + "learning_rate": 0.00022173913043478256, + "loss": 0.8862, + "step": 102 + }, + { + "epoch": 0.22525970475669765, + "grad_norm": 0.10171929001808167, + "learning_rate": 0.00022391304347826085, + "loss": 0.9771, + "step": 103 + }, + { + "epoch": 0.22744669218151994, + "grad_norm": 0.229730024933815, + "learning_rate": 0.0002260869565217391, + "loss": 1.0394, + "step": 104 + }, + { + "epoch": 0.22963367960634226, + "grad_norm": 0.12707418203353882, + "learning_rate": 0.0002282608695652174, + "loss": 0.7958, + "step": 105 + }, + { + "epoch": 0.23182066703116458, + "grad_norm": 0.08266041427850723, + "learning_rate": 0.00023043478260869563, + "loss": 0.6803, + "step": 106 + }, + { + "epoch": 0.23400765445598687, + "grad_norm": 0.0749870091676712, + "learning_rate": 0.0002326086956521739, + "loss": 0.8183, + "step": 107 + }, + { + "epoch": 0.2361946418808092, + "grad_norm": 0.11159190535545349, + "learning_rate": 0.00023478260869565215, + "loss": 0.7661, + "step": 108 + }, + { + "epoch": 0.2383816293056315, + "grad_norm": 0.07944361865520477, + "learning_rate": 0.00023695652173913041, + "loss": 0.8621, + "step": 109 + }, + { + "epoch": 0.2405686167304538, + "grad_norm": 0.08325090259313583, + "learning_rate": 0.00023913043478260867, + "loss": 0.7654, + "step": 110 + }, + { + "epoch": 0.2427556041552761, + "grad_norm": 0.07292269170284271, + "learning_rate": 0.00024130434782608694, + "loss": 0.8056, + "step": 111 + }, + { + "epoch": 0.2449425915800984, + "grad_norm": 0.0890134945511818, + "learning_rate": 0.00024347826086956522, + "loss": 0.7273, + "step": 112 + }, + { + "epoch": 0.24712957900492072, + "grad_norm": 0.10848698019981384, + "learning_rate": 0.00024565217391304343, + "loss": 0.7847, + "step": 113 + }, + { + "epoch": 0.24931656642974304, + "grad_norm": 0.09040559083223343, + "learning_rate": 0.0002478260869565217, + "loss": 0.6559, + "step": 114 + }, + { + "epoch": 0.25150355385456535, + "grad_norm": 0.13409146666526794, + "learning_rate": 0.00025, + "loss": 0.9484, + "step": 115 + }, + { + "epoch": 0.2536905412793876, + "grad_norm": 0.12491361051797867, + "learning_rate": 0.00025217391304347824, + "loss": 0.8332, + "step": 116 + }, + { + "epoch": 0.25587752870420993, + "grad_norm": 0.10940971970558167, + "learning_rate": 0.00025434782608695647, + "loss": 0.7821, + "step": 117 + }, + { + "epoch": 0.25806451612903225, + "grad_norm": 0.1225711926817894, + "learning_rate": 0.00025652173913043476, + "loss": 0.8303, + "step": 118 + }, + { + "epoch": 0.26025150355385457, + "grad_norm": 0.10049896687269211, + "learning_rate": 0.00025869565217391305, + "loss": 0.8936, + "step": 119 + }, + { + "epoch": 0.2624384909786769, + "grad_norm": 0.06099533662199974, + "learning_rate": 0.0002608695652173913, + "loss": 0.8839, + "step": 120 + }, + { + "epoch": 0.2646254784034992, + "grad_norm": 0.09004715830087662, + "learning_rate": 0.00026304347826086957, + "loss": 0.8448, + "step": 121 + }, + { + "epoch": 0.26681246582832147, + "grad_norm": 0.0941208004951477, + "learning_rate": 0.0002652173913043478, + "loss": 0.8998, + "step": 122 + }, + { + "epoch": 0.2689994532531438, + "grad_norm": 0.10192779451608658, + "learning_rate": 0.00026739130434782604, + "loss": 0.8309, + "step": 123 + }, + { + "epoch": 0.2711864406779661, + "grad_norm": 0.07080394774675369, + "learning_rate": 0.0002695652173913043, + "loss": 0.8159, + "step": 124 + }, + { + "epoch": 0.2733734281027884, + "grad_norm": 0.06917835026979446, + "learning_rate": 0.0002717391304347826, + "loss": 0.88, + "step": 125 + }, + { + "epoch": 0.27556041552761074, + "grad_norm": 0.07517760992050171, + "learning_rate": 0.00027391304347826085, + "loss": 0.769, + "step": 126 + }, + { + "epoch": 0.277747402952433, + "grad_norm": 0.08285191655158997, + "learning_rate": 0.0002760869565217391, + "loss": 0.6385, + "step": 127 + }, + { + "epoch": 0.2799343903772553, + "grad_norm": 0.11180365085601807, + "learning_rate": 0.00027826086956521737, + "loss": 0.6896, + "step": 128 + }, + { + "epoch": 0.28212137780207763, + "grad_norm": 0.1048586368560791, + "learning_rate": 0.00028043478260869565, + "loss": 0.7832, + "step": 129 + }, + { + "epoch": 0.28430836522689995, + "grad_norm": 0.07600785046815872, + "learning_rate": 0.0002826086956521739, + "loss": 1.0648, + "step": 130 + }, + { + "epoch": 0.28649535265172227, + "grad_norm": 0.11617063730955124, + "learning_rate": 0.0002847826086956521, + "loss": 0.796, + "step": 131 + }, + { + "epoch": 0.2886823400765446, + "grad_norm": 0.08787448704242706, + "learning_rate": 0.0002869565217391304, + "loss": 0.7365, + "step": 132 + }, + { + "epoch": 0.29086932750136685, + "grad_norm": 0.08475647866725922, + "learning_rate": 0.00028913043478260864, + "loss": 0.8673, + "step": 133 + }, + { + "epoch": 0.29305631492618917, + "grad_norm": 0.08108010143041611, + "learning_rate": 0.00029130434782608693, + "loss": 0.7549, + "step": 134 + }, + { + "epoch": 0.2952433023510115, + "grad_norm": 0.0931265652179718, + "learning_rate": 0.0002934782608695652, + "loss": 0.8125, + "step": 135 + }, + { + "epoch": 0.2974302897758338, + "grad_norm": 0.09799659252166748, + "learning_rate": 0.00029565217391304345, + "loss": 0.9313, + "step": 136 + }, + { + "epoch": 0.2996172772006561, + "grad_norm": 0.0907561406493187, + "learning_rate": 0.0002978260869565217, + "loss": 0.8286, + "step": 137 + }, + { + "epoch": 0.3018042646254784, + "grad_norm": 0.1058296412229538, + "learning_rate": 0.0003, + "loss": 0.6793, + "step": 138 + }, + { + "epoch": 0.3039912520503007, + "grad_norm": 0.11433208733797073, + "learning_rate": 0.00029975669099756687, + "loss": 0.9989, + "step": 139 + }, + { + "epoch": 0.306178239475123, + "grad_norm": 0.07405385375022888, + "learning_rate": 0.0002995133819951338, + "loss": 0.8585, + "step": 140 + }, + { + "epoch": 0.30836522689994533, + "grad_norm": 0.06343242526054382, + "learning_rate": 0.0002992700729927007, + "loss": 0.6765, + "step": 141 + }, + { + "epoch": 0.31055221432476765, + "grad_norm": 0.0740305557847023, + "learning_rate": 0.0002990267639902676, + "loss": 0.7872, + "step": 142 + }, + { + "epoch": 0.3127392017495899, + "grad_norm": 0.09770593047142029, + "learning_rate": 0.0002987834549878345, + "loss": 0.8003, + "step": 143 + }, + { + "epoch": 0.31492618917441223, + "grad_norm": 0.08795448392629623, + "learning_rate": 0.0002985401459854014, + "loss": 0.7935, + "step": 144 + }, + { + "epoch": 0.31711317659923455, + "grad_norm": 0.09199929982423782, + "learning_rate": 0.0002982968369829683, + "loss": 0.7719, + "step": 145 + }, + { + "epoch": 0.31930016402405687, + "grad_norm": 0.09563364833593369, + "learning_rate": 0.00029805352798053527, + "loss": 0.7461, + "step": 146 + }, + { + "epoch": 0.3214871514488792, + "grad_norm": 0.09902669489383698, + "learning_rate": 0.00029781021897810217, + "loss": 0.9754, + "step": 147 + }, + { + "epoch": 0.3236741388737015, + "grad_norm": 0.06521571427583694, + "learning_rate": 0.00029756690997566907, + "loss": 0.7208, + "step": 148 + }, + { + "epoch": 0.32586112629852376, + "grad_norm": 0.09013614803552628, + "learning_rate": 0.000297323600973236, + "loss": 0.7589, + "step": 149 + }, + { + "epoch": 0.3280481137233461, + "grad_norm": 0.10955630242824554, + "learning_rate": 0.0002970802919708029, + "loss": 0.8037, + "step": 150 + }, + { + "epoch": 0.3302351011481684, + "grad_norm": 0.07440857589244843, + "learning_rate": 0.0002968369829683698, + "loss": 0.6815, + "step": 151 + }, + { + "epoch": 0.3324220885729907, + "grad_norm": 0.06912542134523392, + "learning_rate": 0.0002965936739659367, + "loss": 0.7605, + "step": 152 + }, + { + "epoch": 0.33460907599781303, + "grad_norm": 0.18072739243507385, + "learning_rate": 0.0002963503649635036, + "loss": 0.8842, + "step": 153 + }, + { + "epoch": 0.3367960634226353, + "grad_norm": 0.1110488697886467, + "learning_rate": 0.0002961070559610705, + "loss": 0.8179, + "step": 154 + }, + { + "epoch": 0.3389830508474576, + "grad_norm": 0.06638635694980621, + "learning_rate": 0.00029586374695863746, + "loss": 0.7914, + "step": 155 + }, + { + "epoch": 0.34117003827227993, + "grad_norm": 0.08106378465890884, + "learning_rate": 0.00029562043795620436, + "loss": 0.7207, + "step": 156 + }, + { + "epoch": 0.34335702569710225, + "grad_norm": 0.10303468257188797, + "learning_rate": 0.00029537712895377126, + "loss": 0.8975, + "step": 157 + }, + { + "epoch": 0.34554401312192456, + "grad_norm": 0.06747160851955414, + "learning_rate": 0.00029513381995133816, + "loss": 0.7575, + "step": 158 + }, + { + "epoch": 0.3477310005467469, + "grad_norm": 0.09153658151626587, + "learning_rate": 0.0002948905109489051, + "loss": 0.7132, + "step": 159 + }, + { + "epoch": 0.34991798797156914, + "grad_norm": 0.09532639384269714, + "learning_rate": 0.000294647201946472, + "loss": 0.8201, + "step": 160 + }, + { + "epoch": 0.35210497539639146, + "grad_norm": 0.06966502219438553, + "learning_rate": 0.0002944038929440389, + "loss": 0.7787, + "step": 161 + }, + { + "epoch": 0.3542919628212138, + "grad_norm": 0.09518012404441833, + "learning_rate": 0.0002941605839416058, + "loss": 0.789, + "step": 162 + }, + { + "epoch": 0.3564789502460361, + "grad_norm": 0.088534414768219, + "learning_rate": 0.0002939172749391727, + "loss": 0.801, + "step": 163 + }, + { + "epoch": 0.3586659376708584, + "grad_norm": 0.14624036848545074, + "learning_rate": 0.0002936739659367396, + "loss": 0.8466, + "step": 164 + }, + { + "epoch": 0.3608529250956807, + "grad_norm": 0.1236770898103714, + "learning_rate": 0.00029343065693430656, + "loss": 0.7594, + "step": 165 + }, + { + "epoch": 0.363039912520503, + "grad_norm": 0.09857773780822754, + "learning_rate": 0.00029318734793187345, + "loss": 0.8633, + "step": 166 + }, + { + "epoch": 0.3652268999453253, + "grad_norm": 0.10641337186098099, + "learning_rate": 0.00029294403892944035, + "loss": 0.6178, + "step": 167 + }, + { + "epoch": 0.36741388737014763, + "grad_norm": 0.11597716063261032, + "learning_rate": 0.0002927007299270073, + "loss": 0.8243, + "step": 168 + }, + { + "epoch": 0.36960087479496995, + "grad_norm": 0.09887216240167618, + "learning_rate": 0.0002924574209245742, + "loss": 0.727, + "step": 169 + }, + { + "epoch": 0.3717878622197922, + "grad_norm": 0.10205356031656265, + "learning_rate": 0.0002922141119221411, + "loss": 0.8927, + "step": 170 + }, + { + "epoch": 0.3739748496446145, + "grad_norm": 0.0697833001613617, + "learning_rate": 0.000291970802919708, + "loss": 0.7858, + "step": 171 + }, + { + "epoch": 0.37616183706943684, + "grad_norm": 0.07896197587251663, + "learning_rate": 0.0002917274939172749, + "loss": 0.7565, + "step": 172 + }, + { + "epoch": 0.37834882449425916, + "grad_norm": 0.09944754838943481, + "learning_rate": 0.0002914841849148418, + "loss": 0.6854, + "step": 173 + }, + { + "epoch": 0.3805358119190815, + "grad_norm": 0.09920811653137207, + "learning_rate": 0.00029124087591240875, + "loss": 0.7381, + "step": 174 + }, + { + "epoch": 0.3827227993439038, + "grad_norm": 0.09982607513666153, + "learning_rate": 0.00029099756690997565, + "loss": 0.6732, + "step": 175 + }, + { + "epoch": 0.38490978676872606, + "grad_norm": 0.09934144467115402, + "learning_rate": 0.00029075425790754255, + "loss": 0.6937, + "step": 176 + }, + { + "epoch": 0.3870967741935484, + "grad_norm": 0.07055381685495377, + "learning_rate": 0.0002905109489051095, + "loss": 0.7175, + "step": 177 + }, + { + "epoch": 0.3892837616183707, + "grad_norm": 0.12166482210159302, + "learning_rate": 0.0002902676399026764, + "loss": 0.785, + "step": 178 + }, + { + "epoch": 0.391470749043193, + "grad_norm": 0.10829412937164307, + "learning_rate": 0.0002900243309002433, + "loss": 0.9086, + "step": 179 + }, + { + "epoch": 0.39365773646801533, + "grad_norm": 0.08213745057582855, + "learning_rate": 0.0002897810218978102, + "loss": 0.7933, + "step": 180 + }, + { + "epoch": 0.3958447238928376, + "grad_norm": 0.07641585171222687, + "learning_rate": 0.0002895377128953771, + "loss": 0.6012, + "step": 181 + }, + { + "epoch": 0.3980317113176599, + "grad_norm": 0.07595885545015335, + "learning_rate": 0.000289294403892944, + "loss": 0.8048, + "step": 182 + }, + { + "epoch": 0.4002186987424822, + "grad_norm": 0.08462055027484894, + "learning_rate": 0.00028905109489051094, + "loss": 0.7092, + "step": 183 + }, + { + "epoch": 0.40240568616730454, + "grad_norm": 0.0927341878414154, + "learning_rate": 0.00028880778588807784, + "loss": 0.9529, + "step": 184 + }, + { + "epoch": 0.40459267359212686, + "grad_norm": 0.09057202935218811, + "learning_rate": 0.00028856447688564474, + "loss": 0.7316, + "step": 185 + }, + { + "epoch": 0.4067796610169492, + "grad_norm": 0.08431290090084076, + "learning_rate": 0.0002883211678832117, + "loss": 0.7982, + "step": 186 + }, + { + "epoch": 0.40896664844177144, + "grad_norm": 0.08468630164861679, + "learning_rate": 0.0002880778588807786, + "loss": 0.7072, + "step": 187 + }, + { + "epoch": 0.41115363586659376, + "grad_norm": 0.09517522901296616, + "learning_rate": 0.0002878345498783455, + "loss": 0.8502, + "step": 188 + }, + { + "epoch": 0.4133406232914161, + "grad_norm": 0.09335198253393173, + "learning_rate": 0.0002875912408759124, + "loss": 0.8784, + "step": 189 + }, + { + "epoch": 0.4155276107162384, + "grad_norm": 0.09860411286354065, + "learning_rate": 0.0002873479318734793, + "loss": 0.6731, + "step": 190 + }, + { + "epoch": 0.4177145981410607, + "grad_norm": 0.08786474168300629, + "learning_rate": 0.0002871046228710462, + "loss": 0.8264, + "step": 191 + }, + { + "epoch": 0.419901585565883, + "grad_norm": 0.07878849655389786, + "learning_rate": 0.00028686131386861314, + "loss": 0.7186, + "step": 192 + }, + { + "epoch": 0.4220885729907053, + "grad_norm": 0.0865228921175003, + "learning_rate": 0.00028661800486618004, + "loss": 0.7666, + "step": 193 + }, + { + "epoch": 0.4242755604155276, + "grad_norm": 0.08670119941234589, + "learning_rate": 0.00028637469586374693, + "loss": 0.6114, + "step": 194 + }, + { + "epoch": 0.4264625478403499, + "grad_norm": 0.07123606652021408, + "learning_rate": 0.00028613138686131383, + "loss": 0.7547, + "step": 195 + }, + { + "epoch": 0.42864953526517224, + "grad_norm": 0.07816725224256516, + "learning_rate": 0.0002858880778588808, + "loss": 0.7823, + "step": 196 + }, + { + "epoch": 0.4308365226899945, + "grad_norm": 0.06756795197725296, + "learning_rate": 0.0002856447688564477, + "loss": 0.7063, + "step": 197 + }, + { + "epoch": 0.4330235101148168, + "grad_norm": 0.08901145309209824, + "learning_rate": 0.0002854014598540146, + "loss": 0.6096, + "step": 198 + }, + { + "epoch": 0.43521049753963914, + "grad_norm": 0.08737461268901825, + "learning_rate": 0.0002851581508515815, + "loss": 0.868, + "step": 199 + }, + { + "epoch": 0.43739748496446146, + "grad_norm": 0.09415903687477112, + "learning_rate": 0.0002849148418491484, + "loss": 0.9099, + "step": 200 + }, + { + "epoch": 0.4395844723892838, + "grad_norm": 0.08001361787319183, + "learning_rate": 0.0002846715328467153, + "loss": 0.8646, + "step": 201 + }, + { + "epoch": 0.4417714598141061, + "grad_norm": 0.10589218139648438, + "learning_rate": 0.00028442822384428223, + "loss": 0.9109, + "step": 202 + }, + { + "epoch": 0.44395844723892836, + "grad_norm": 0.0737987533211708, + "learning_rate": 0.00028418491484184913, + "loss": 0.7148, + "step": 203 + }, + { + "epoch": 0.4461454346637507, + "grad_norm": 0.09014102071523666, + "learning_rate": 0.000283941605839416, + "loss": 0.7494, + "step": 204 + }, + { + "epoch": 0.448332422088573, + "grad_norm": 0.06970103085041046, + "learning_rate": 0.000283698296836983, + "loss": 0.8995, + "step": 205 + }, + { + "epoch": 0.4505194095133953, + "grad_norm": 0.07834374904632568, + "learning_rate": 0.0002834549878345499, + "loss": 0.7113, + "step": 206 + }, + { + "epoch": 0.4527063969382176, + "grad_norm": 0.09098242223262787, + "learning_rate": 0.0002832116788321168, + "loss": 0.7532, + "step": 207 + }, + { + "epoch": 0.4548933843630399, + "grad_norm": 0.10146355628967285, + "learning_rate": 0.0002829683698296837, + "loss": 0.8109, + "step": 208 + }, + { + "epoch": 0.4570803717878622, + "grad_norm": 0.07446923106908798, + "learning_rate": 0.00028272506082725057, + "loss": 0.7372, + "step": 209 + }, + { + "epoch": 0.4592673592126845, + "grad_norm": 0.10856571793556213, + "learning_rate": 0.00028248175182481747, + "loss": 0.9159, + "step": 210 + }, + { + "epoch": 0.46145434663750684, + "grad_norm": 0.0734255239367485, + "learning_rate": 0.0002822384428223844, + "loss": 0.8291, + "step": 211 + }, + { + "epoch": 0.46364133406232916, + "grad_norm": 0.0665552020072937, + "learning_rate": 0.0002819951338199513, + "loss": 0.777, + "step": 212 + }, + { + "epoch": 0.4658283214871515, + "grad_norm": 0.08095455914735794, + "learning_rate": 0.0002817518248175182, + "loss": 0.6822, + "step": 213 + }, + { + "epoch": 0.46801530891197374, + "grad_norm": 0.12232089042663574, + "learning_rate": 0.0002815085158150851, + "loss": 0.9606, + "step": 214 + }, + { + "epoch": 0.47020229633679606, + "grad_norm": 0.07872821390628815, + "learning_rate": 0.000281265206812652, + "loss": 0.6547, + "step": 215 + }, + { + "epoch": 0.4723892837616184, + "grad_norm": 0.09227938205003738, + "learning_rate": 0.00028102189781021897, + "loss": 0.7493, + "step": 216 + }, + { + "epoch": 0.4745762711864407, + "grad_norm": 0.09510906040668488, + "learning_rate": 0.00028077858880778587, + "loss": 0.8947, + "step": 217 + }, + { + "epoch": 0.476763258611263, + "grad_norm": 0.082614466547966, + "learning_rate": 0.00028053527980535277, + "loss": 0.6496, + "step": 218 + }, + { + "epoch": 0.47895024603608527, + "grad_norm": 0.09894838184118271, + "learning_rate": 0.00028029197080291966, + "loss": 0.8015, + "step": 219 + }, + { + "epoch": 0.4811372334609076, + "grad_norm": 0.11435946822166443, + "learning_rate": 0.0002800486618004866, + "loss": 0.8819, + "step": 220 + }, + { + "epoch": 0.4833242208857299, + "grad_norm": 0.09288637340068817, + "learning_rate": 0.0002798053527980535, + "loss": 0.8199, + "step": 221 + }, + { + "epoch": 0.4855112083105522, + "grad_norm": 0.1094096228480339, + "learning_rate": 0.0002795620437956204, + "loss": 0.8862, + "step": 222 + }, + { + "epoch": 0.48769819573537454, + "grad_norm": 0.07699288427829742, + "learning_rate": 0.0002793187347931873, + "loss": 0.6421, + "step": 223 + }, + { + "epoch": 0.4898851831601968, + "grad_norm": 0.08911792933940887, + "learning_rate": 0.0002790754257907542, + "loss": 0.6856, + "step": 224 + }, + { + "epoch": 0.4920721705850191, + "grad_norm": 0.09922093898057938, + "learning_rate": 0.0002788321167883211, + "loss": 0.7086, + "step": 225 + }, + { + "epoch": 0.49425915800984144, + "grad_norm": 0.10937251150608063, + "learning_rate": 0.00027858880778588806, + "loss": 0.765, + "step": 226 + }, + { + "epoch": 0.49644614543466375, + "grad_norm": 0.09247948229312897, + "learning_rate": 0.00027834549878345496, + "loss": 0.8122, + "step": 227 + }, + { + "epoch": 0.4986331328594861, + "grad_norm": 0.09460587799549103, + "learning_rate": 0.00027810218978102186, + "loss": 0.9516, + "step": 228 + }, + { + "epoch": 0.5008201202843083, + "grad_norm": 0.07834810018539429, + "learning_rate": 0.0002778588807785888, + "loss": 0.7763, + "step": 229 + }, + { + "epoch": 0.5030071077091307, + "grad_norm": 0.06455564498901367, + "learning_rate": 0.0002776155717761557, + "loss": 0.9123, + "step": 230 + }, + { + "epoch": 0.505194095133953, + "grad_norm": 0.08513427525758743, + "learning_rate": 0.0002773722627737226, + "loss": 0.7866, + "step": 231 + }, + { + "epoch": 0.5073810825587752, + "grad_norm": 0.07656141370534897, + "learning_rate": 0.0002771289537712895, + "loss": 0.9441, + "step": 232 + }, + { + "epoch": 0.5095680699835976, + "grad_norm": 0.09057404100894928, + "learning_rate": 0.0002768856447688564, + "loss": 0.8889, + "step": 233 + }, + { + "epoch": 0.5117550574084199, + "grad_norm": 0.11922059208154678, + "learning_rate": 0.0002766423357664233, + "loss": 0.8916, + "step": 234 + }, + { + "epoch": 0.5139420448332422, + "grad_norm": 0.17033298313617706, + "learning_rate": 0.0002763990267639902, + "loss": 0.9796, + "step": 235 + }, + { + "epoch": 0.5161290322580645, + "grad_norm": 0.06839301437139511, + "learning_rate": 0.00027615571776155715, + "loss": 0.7202, + "step": 236 + }, + { + "epoch": 0.5183160196828869, + "grad_norm": 0.07963432371616364, + "learning_rate": 0.00027591240875912405, + "loss": 0.7983, + "step": 237 + }, + { + "epoch": 0.5205030071077091, + "grad_norm": 0.09180959314107895, + "learning_rate": 0.00027566909975669095, + "loss": 0.9635, + "step": 238 + }, + { + "epoch": 0.5226899945325314, + "grad_norm": 0.10132299363613129, + "learning_rate": 0.0002754257907542579, + "loss": 0.8202, + "step": 239 + }, + { + "epoch": 0.5248769819573538, + "grad_norm": 0.08845063298940659, + "learning_rate": 0.0002751824817518248, + "loss": 0.8691, + "step": 240 + }, + { + "epoch": 0.527063969382176, + "grad_norm": 0.12031355500221252, + "learning_rate": 0.0002749391727493917, + "loss": 0.745, + "step": 241 + }, + { + "epoch": 0.5292509568069984, + "grad_norm": 0.083718441426754, + "learning_rate": 0.0002746958637469586, + "loss": 0.8674, + "step": 242 + }, + { + "epoch": 0.5314379442318207, + "grad_norm": 0.05590861290693283, + "learning_rate": 0.0002744525547445255, + "loss": 0.7403, + "step": 243 + }, + { + "epoch": 0.5336249316566429, + "grad_norm": 0.07989255338907242, + "learning_rate": 0.0002742092457420924, + "loss": 0.8519, + "step": 244 + }, + { + "epoch": 0.5358119190814653, + "grad_norm": 0.0754510909318924, + "learning_rate": 0.00027396593673965935, + "loss": 0.8152, + "step": 245 + }, + { + "epoch": 0.5379989065062876, + "grad_norm": 0.11276485025882721, + "learning_rate": 0.00027372262773722625, + "loss": 0.8808, + "step": 246 + }, + { + "epoch": 0.5401858939311099, + "grad_norm": 0.0901227816939354, + "learning_rate": 0.00027347931873479315, + "loss": 1.0364, + "step": 247 + }, + { + "epoch": 0.5423728813559322, + "grad_norm": 0.08831602334976196, + "learning_rate": 0.0002732360097323601, + "loss": 0.8202, + "step": 248 + }, + { + "epoch": 0.5445598687807545, + "grad_norm": 0.07019981741905212, + "learning_rate": 0.000272992700729927, + "loss": 0.7058, + "step": 249 + }, + { + "epoch": 0.5467468562055768, + "grad_norm": 0.08964318037033081, + "learning_rate": 0.0002727493917274939, + "loss": 0.6815, + "step": 250 + }, + { + "epoch": 0.5489338436303991, + "grad_norm": 0.10391569882631302, + "learning_rate": 0.0002725060827250608, + "loss": 0.8045, + "step": 251 + }, + { + "epoch": 0.5511208310552215, + "grad_norm": 0.06296099722385406, + "learning_rate": 0.0002722627737226277, + "loss": 0.7172, + "step": 252 + }, + { + "epoch": 0.5533078184800437, + "grad_norm": 0.07685249298810959, + "learning_rate": 0.0002720194647201946, + "loss": 0.6347, + "step": 253 + }, + { + "epoch": 0.555494805904866, + "grad_norm": 0.06963878124952316, + "learning_rate": 0.00027177615571776154, + "loss": 0.6887, + "step": 254 + }, + { + "epoch": 0.5576817933296884, + "grad_norm": 0.08316706120967865, + "learning_rate": 0.00027153284671532844, + "loss": 0.9185, + "step": 255 + }, + { + "epoch": 0.5598687807545106, + "grad_norm": 0.07583016157150269, + "learning_rate": 0.00027128953771289534, + "loss": 0.722, + "step": 256 + }, + { + "epoch": 0.562055768179333, + "grad_norm": 0.11720545589923859, + "learning_rate": 0.0002710462287104623, + "loss": 0.5064, + "step": 257 + }, + { + "epoch": 0.5642427556041553, + "grad_norm": 0.12078868597745895, + "learning_rate": 0.0002708029197080292, + "loss": 0.8634, + "step": 258 + }, + { + "epoch": 0.5664297430289775, + "grad_norm": 0.12090896815061569, + "learning_rate": 0.0002705596107055961, + "loss": 1.0468, + "step": 259 + }, + { + "epoch": 0.5686167304537999, + "grad_norm": 0.09285137802362442, + "learning_rate": 0.000270316301703163, + "loss": 0.7503, + "step": 260 + }, + { + "epoch": 0.5708037178786222, + "grad_norm": 0.0832851231098175, + "learning_rate": 0.0002700729927007299, + "loss": 0.8716, + "step": 261 + }, + { + "epoch": 0.5729907053034445, + "grad_norm": 0.0790085643529892, + "learning_rate": 0.0002698296836982968, + "loss": 0.5984, + "step": 262 + }, + { + "epoch": 0.5751776927282668, + "grad_norm": 0.131657674908638, + "learning_rate": 0.00026958637469586374, + "loss": 0.7258, + "step": 263 + }, + { + "epoch": 0.5773646801530892, + "grad_norm": 0.07868051528930664, + "learning_rate": 0.00026934306569343063, + "loss": 0.8254, + "step": 264 + }, + { + "epoch": 0.5795516675779114, + "grad_norm": 0.08188129216432571, + "learning_rate": 0.00026909975669099753, + "loss": 0.7436, + "step": 265 + }, + { + "epoch": 0.5817386550027337, + "grad_norm": 0.08523768931627274, + "learning_rate": 0.0002688564476885645, + "loss": 0.7025, + "step": 266 + }, + { + "epoch": 0.5839256424275561, + "grad_norm": 0.0672910138964653, + "learning_rate": 0.0002686131386861314, + "loss": 0.8514, + "step": 267 + }, + { + "epoch": 0.5861126298523783, + "grad_norm": 0.0724952295422554, + "learning_rate": 0.0002683698296836983, + "loss": 0.6604, + "step": 268 + }, + { + "epoch": 0.5882996172772007, + "grad_norm": 0.08894018828868866, + "learning_rate": 0.0002681265206812652, + "loss": 0.7991, + "step": 269 + }, + { + "epoch": 0.590486604702023, + "grad_norm": 0.10857002437114716, + "learning_rate": 0.0002678832116788321, + "loss": 0.8776, + "step": 270 + }, + { + "epoch": 0.5926735921268452, + "grad_norm": 0.14346320927143097, + "learning_rate": 0.000267639902676399, + "loss": 0.8717, + "step": 271 + }, + { + "epoch": 0.5948605795516676, + "grad_norm": 0.07845014333724976, + "learning_rate": 0.0002673965936739659, + "loss": 0.9037, + "step": 272 + }, + { + "epoch": 0.5970475669764899, + "grad_norm": 0.11510999500751495, + "learning_rate": 0.00026715328467153283, + "loss": 0.864, + "step": 273 + }, + { + "epoch": 0.5992345544013122, + "grad_norm": 0.11393352597951889, + "learning_rate": 0.0002669099756690997, + "loss": 0.8356, + "step": 274 + }, + { + "epoch": 0.6014215418261345, + "grad_norm": 0.06892132759094238, + "learning_rate": 0.0002666666666666666, + "loss": 0.7927, + "step": 275 + }, + { + "epoch": 0.6036085292509568, + "grad_norm": 0.19158025085926056, + "learning_rate": 0.0002664233576642336, + "loss": 0.8784, + "step": 276 + }, + { + "epoch": 0.6057955166757791, + "grad_norm": 0.07826769351959229, + "learning_rate": 0.0002661800486618005, + "loss": 0.7043, + "step": 277 + }, + { + "epoch": 0.6079825041006014, + "grad_norm": 0.07082416862249374, + "learning_rate": 0.0002659367396593674, + "loss": 0.8035, + "step": 278 + }, + { + "epoch": 0.6101694915254238, + "grad_norm": 0.07882045954465866, + "learning_rate": 0.0002656934306569343, + "loss": 0.6676, + "step": 279 + }, + { + "epoch": 0.612356478950246, + "grad_norm": 0.09893234819173813, + "learning_rate": 0.00026545012165450117, + "loss": 0.7249, + "step": 280 + }, + { + "epoch": 0.6145434663750683, + "grad_norm": 0.09653720259666443, + "learning_rate": 0.00026520681265206807, + "loss": 0.756, + "step": 281 + }, + { + "epoch": 0.6167304537998907, + "grad_norm": 0.09176692366600037, + "learning_rate": 0.000264963503649635, + "loss": 0.9369, + "step": 282 + }, + { + "epoch": 0.6189174412247129, + "grad_norm": 0.09325020760297775, + "learning_rate": 0.0002647201946472019, + "loss": 0.8913, + "step": 283 + }, + { + "epoch": 0.6211044286495353, + "grad_norm": 0.07303456962108612, + "learning_rate": 0.0002644768856447688, + "loss": 0.6587, + "step": 284 + }, + { + "epoch": 0.6232914160743576, + "grad_norm": 0.10179898142814636, + "learning_rate": 0.00026423357664233577, + "loss": 0.8088, + "step": 285 + }, + { + "epoch": 0.6254784034991798, + "grad_norm": 0.14401668310165405, + "learning_rate": 0.00026399026763990267, + "loss": 1.0155, + "step": 286 + }, + { + "epoch": 0.6276653909240022, + "grad_norm": 0.10312936455011368, + "learning_rate": 0.00026374695863746957, + "loss": 0.694, + "step": 287 + }, + { + "epoch": 0.6298523783488245, + "grad_norm": 0.0854305624961853, + "learning_rate": 0.00026350364963503647, + "loss": 0.7055, + "step": 288 + }, + { + "epoch": 0.6320393657736468, + "grad_norm": 0.10970859974622726, + "learning_rate": 0.00026326034063260337, + "loss": 1.0504, + "step": 289 + }, + { + "epoch": 0.6342263531984691, + "grad_norm": 0.07560990005731583, + "learning_rate": 0.00026301703163017026, + "loss": 0.7987, + "step": 290 + }, + { + "epoch": 0.6364133406232915, + "grad_norm": 0.07992532104253769, + "learning_rate": 0.0002627737226277372, + "loss": 0.7962, + "step": 291 + }, + { + "epoch": 0.6386003280481137, + "grad_norm": 0.06997305899858475, + "learning_rate": 0.0002625304136253041, + "loss": 0.8062, + "step": 292 + }, + { + "epoch": 0.640787315472936, + "grad_norm": 0.09926711767911911, + "learning_rate": 0.000262287104622871, + "loss": 0.7058, + "step": 293 + }, + { + "epoch": 0.6429743028977584, + "grad_norm": 0.06934119015932083, + "learning_rate": 0.00026204379562043797, + "loss": 0.6901, + "step": 294 + }, + { + "epoch": 0.6451612903225806, + "grad_norm": 0.08522456139326096, + "learning_rate": 0.00026180048661800486, + "loss": 0.8298, + "step": 295 + }, + { + "epoch": 0.647348277747403, + "grad_norm": 0.10487085580825806, + "learning_rate": 0.00026155717761557176, + "loss": 0.7889, + "step": 296 + }, + { + "epoch": 0.6495352651722253, + "grad_norm": 0.08216001093387604, + "learning_rate": 0.00026131386861313866, + "loss": 0.6706, + "step": 297 + }, + { + "epoch": 0.6517222525970475, + "grad_norm": 0.07124107331037521, + "learning_rate": 0.00026107055961070556, + "loss": 0.7223, + "step": 298 + }, + { + "epoch": 0.6539092400218699, + "grad_norm": 0.07503429055213928, + "learning_rate": 0.00026082725060827246, + "loss": 0.8066, + "step": 299 + }, + { + "epoch": 0.6560962274466922, + "grad_norm": 0.09767529368400574, + "learning_rate": 0.0002605839416058394, + "loss": 0.9102, + "step": 300 + }, + { + "epoch": 0.6582832148715145, + "grad_norm": 0.08856175094842911, + "learning_rate": 0.0002603406326034063, + "loss": 0.7445, + "step": 301 + }, + { + "epoch": 0.6604702022963368, + "grad_norm": 0.12521636486053467, + "learning_rate": 0.0002600973236009732, + "loss": 0.879, + "step": 302 + }, + { + "epoch": 0.6626571897211591, + "grad_norm": 0.06757901608943939, + "learning_rate": 0.00025985401459854016, + "loss": 0.804, + "step": 303 + }, + { + "epoch": 0.6648441771459814, + "grad_norm": 0.0733027458190918, + "learning_rate": 0.00025961070559610706, + "loss": 0.8633, + "step": 304 + }, + { + "epoch": 0.6670311645708037, + "grad_norm": 0.08905995637178421, + "learning_rate": 0.00025936739659367396, + "loss": 0.8607, + "step": 305 + }, + { + "epoch": 0.6692181519956261, + "grad_norm": 0.07818827778100967, + "learning_rate": 0.00025912408759124085, + "loss": 0.6932, + "step": 306 + }, + { + "epoch": 0.6714051394204483, + "grad_norm": 0.07720089703798294, + "learning_rate": 0.00025888077858880775, + "loss": 0.864, + "step": 307 + }, + { + "epoch": 0.6735921268452706, + "grad_norm": 0.08153744041919708, + "learning_rate": 0.00025863746958637465, + "loss": 0.8552, + "step": 308 + }, + { + "epoch": 0.675779114270093, + "grad_norm": 0.07525398582220078, + "learning_rate": 0.00025839416058394155, + "loss": 0.8718, + "step": 309 + }, + { + "epoch": 0.6779661016949152, + "grad_norm": 0.12840503454208374, + "learning_rate": 0.0002581508515815085, + "loss": 0.85, + "step": 310 + }, + { + "epoch": 0.6801530891197376, + "grad_norm": 0.09187840670347214, + "learning_rate": 0.0002579075425790754, + "loss": 0.6954, + "step": 311 + }, + { + "epoch": 0.6823400765445599, + "grad_norm": 0.08895968645811081, + "learning_rate": 0.0002576642335766423, + "loss": 0.7626, + "step": 312 + }, + { + "epoch": 0.6845270639693821, + "grad_norm": 0.09770026057958603, + "learning_rate": 0.00025742092457420925, + "loss": 1.0604, + "step": 313 + }, + { + "epoch": 0.6867140513942045, + "grad_norm": 0.08766573667526245, + "learning_rate": 0.00025717761557177615, + "loss": 0.7582, + "step": 314 + }, + { + "epoch": 0.6889010388190268, + "grad_norm": 0.09852811694145203, + "learning_rate": 0.00025693430656934305, + "loss": 0.818, + "step": 315 + }, + { + "epoch": 0.6910880262438491, + "grad_norm": 0.09099966287612915, + "learning_rate": 0.00025669099756690995, + "loss": 0.7989, + "step": 316 + }, + { + "epoch": 0.6932750136686714, + "grad_norm": 0.09447526186704636, + "learning_rate": 0.00025644768856447685, + "loss": 0.6944, + "step": 317 + }, + { + "epoch": 0.6954620010934938, + "grad_norm": 0.07845824211835861, + "learning_rate": 0.00025620437956204374, + "loss": 0.7115, + "step": 318 + }, + { + "epoch": 0.697648988518316, + "grad_norm": 0.08921406418085098, + "learning_rate": 0.0002559610705596107, + "loss": 0.7523, + "step": 319 + }, + { + "epoch": 0.6998359759431383, + "grad_norm": 0.08217911422252655, + "learning_rate": 0.0002557177615571776, + "loss": 0.8571, + "step": 320 + }, + { + "epoch": 0.7020229633679607, + "grad_norm": 0.09305664896965027, + "learning_rate": 0.0002554744525547445, + "loss": 0.9364, + "step": 321 + }, + { + "epoch": 0.7042099507927829, + "grad_norm": 0.0946994498372078, + "learning_rate": 0.00025523114355231145, + "loss": 0.8256, + "step": 322 + }, + { + "epoch": 0.7063969382176053, + "grad_norm": 0.07410630583763123, + "learning_rate": 0.00025498783454987834, + "loss": 0.6779, + "step": 323 + }, + { + "epoch": 0.7085839256424276, + "grad_norm": 0.07267045974731445, + "learning_rate": 0.00025474452554744524, + "loss": 0.7153, + "step": 324 + }, + { + "epoch": 0.7107709130672498, + "grad_norm": 0.12285289913415909, + "learning_rate": 0.00025450121654501214, + "loss": 0.7329, + "step": 325 + }, + { + "epoch": 0.7129579004920722, + "grad_norm": 0.09455831348896027, + "learning_rate": 0.00025425790754257904, + "loss": 0.702, + "step": 326 + }, + { + "epoch": 0.7151448879168945, + "grad_norm": 0.10846222192049026, + "learning_rate": 0.00025401459854014594, + "loss": 0.9754, + "step": 327 + }, + { + "epoch": 0.7173318753417168, + "grad_norm": 0.07057289779186249, + "learning_rate": 0.0002537712895377129, + "loss": 0.6585, + "step": 328 + }, + { + "epoch": 0.7195188627665391, + "grad_norm": 0.1231318861246109, + "learning_rate": 0.0002535279805352798, + "loss": 0.6573, + "step": 329 + }, + { + "epoch": 0.7217058501913614, + "grad_norm": 0.08757714182138443, + "learning_rate": 0.0002532846715328467, + "loss": 1.0232, + "step": 330 + }, + { + "epoch": 0.7238928376161837, + "grad_norm": 0.11108340322971344, + "learning_rate": 0.00025304136253041364, + "loss": 0.6192, + "step": 331 + }, + { + "epoch": 0.726079825041006, + "grad_norm": 0.07615101337432861, + "learning_rate": 0.00025279805352798054, + "loss": 0.6535, + "step": 332 + }, + { + "epoch": 0.7282668124658284, + "grad_norm": 0.17982874810695648, + "learning_rate": 0.00025255474452554744, + "loss": 0.8749, + "step": 333 + }, + { + "epoch": 0.7304537998906506, + "grad_norm": 0.06192949786782265, + "learning_rate": 0.00025231143552311433, + "loss": 0.5405, + "step": 334 + }, + { + "epoch": 0.7326407873154729, + "grad_norm": 0.0643632635474205, + "learning_rate": 0.00025206812652068123, + "loss": 0.5739, + "step": 335 + }, + { + "epoch": 0.7348277747402953, + "grad_norm": 0.0989777147769928, + "learning_rate": 0.00025182481751824813, + "loss": 0.9974, + "step": 336 + }, + { + "epoch": 0.7370147621651175, + "grad_norm": 0.08475980907678604, + "learning_rate": 0.0002515815085158151, + "loss": 0.7437, + "step": 337 + }, + { + "epoch": 0.7392017495899399, + "grad_norm": 0.08763574063777924, + "learning_rate": 0.000251338199513382, + "loss": 1.0005, + "step": 338 + }, + { + "epoch": 0.7413887370147622, + "grad_norm": 0.05895058810710907, + "learning_rate": 0.0002510948905109489, + "loss": 0.6425, + "step": 339 + }, + { + "epoch": 0.7435757244395844, + "grad_norm": 0.11711962521076202, + "learning_rate": 0.00025085158150851583, + "loss": 0.8128, + "step": 340 + }, + { + "epoch": 0.7457627118644068, + "grad_norm": 0.09908420592546463, + "learning_rate": 0.00025060827250608273, + "loss": 0.8779, + "step": 341 + }, + { + "epoch": 0.747949699289229, + "grad_norm": 0.12717701494693756, + "learning_rate": 0.00025036496350364963, + "loss": 0.8683, + "step": 342 + }, + { + "epoch": 0.7501366867140514, + "grad_norm": 0.06658514589071274, + "learning_rate": 0.00025012165450121653, + "loss": 0.7183, + "step": 343 + }, + { + "epoch": 0.7523236741388737, + "grad_norm": 0.09064241498708725, + "learning_rate": 0.00024987834549878343, + "loss": 0.7, + "step": 344 + }, + { + "epoch": 0.7545106615636961, + "grad_norm": 0.10981611162424088, + "learning_rate": 0.0002496350364963503, + "loss": 1.0372, + "step": 345 + }, + { + "epoch": 0.7566976489885183, + "grad_norm": 0.15306536853313446, + "learning_rate": 0.0002493917274939172, + "loss": 1.0269, + "step": 346 + }, + { + "epoch": 0.7588846364133406, + "grad_norm": 0.11136262863874435, + "learning_rate": 0.0002491484184914842, + "loss": 0.6643, + "step": 347 + }, + { + "epoch": 0.761071623838163, + "grad_norm": 0.08956176787614822, + "learning_rate": 0.0002489051094890511, + "loss": 0.9524, + "step": 348 + }, + { + "epoch": 0.7632586112629852, + "grad_norm": 0.0828496515750885, + "learning_rate": 0.000248661800486618, + "loss": 0.8087, + "step": 349 + }, + { + "epoch": 0.7654455986878076, + "grad_norm": 0.07952458411455154, + "learning_rate": 0.0002484184914841849, + "loss": 0.6538, + "step": 350 + }, + { + "epoch": 0.7676325861126299, + "grad_norm": 0.09898912906646729, + "learning_rate": 0.0002481751824817518, + "loss": 0.7593, + "step": 351 + }, + { + "epoch": 0.7698195735374521, + "grad_norm": 0.06985414028167725, + "learning_rate": 0.0002479318734793187, + "loss": 0.7966, + "step": 352 + }, + { + "epoch": 0.7720065609622745, + "grad_norm": 0.09765390306711197, + "learning_rate": 0.0002476885644768856, + "loss": 0.9233, + "step": 353 + }, + { + "epoch": 0.7741935483870968, + "grad_norm": 0.07754623889923096, + "learning_rate": 0.0002474452554744525, + "loss": 0.8574, + "step": 354 + }, + { + "epoch": 0.7763805358119191, + "grad_norm": 0.10084286332130432, + "learning_rate": 0.0002472019464720194, + "loss": 0.73, + "step": 355 + }, + { + "epoch": 0.7785675232367414, + "grad_norm": 0.0886620357632637, + "learning_rate": 0.00024695863746958637, + "loss": 0.8721, + "step": 356 + }, + { + "epoch": 0.7807545106615636, + "grad_norm": 0.09977467358112335, + "learning_rate": 0.00024671532846715327, + "loss": 0.8606, + "step": 357 + }, + { + "epoch": 0.782941498086386, + "grad_norm": 0.08869027346372604, + "learning_rate": 0.00024647201946472017, + "loss": 0.7884, + "step": 358 + }, + { + "epoch": 0.7851284855112083, + "grad_norm": 0.12484999746084213, + "learning_rate": 0.0002462287104622871, + "loss": 0.7167, + "step": 359 + }, + { + "epoch": 0.7873154729360307, + "grad_norm": 0.095987468957901, + "learning_rate": 0.000245985401459854, + "loss": 0.552, + "step": 360 + }, + { + "epoch": 0.7895024603608529, + "grad_norm": 0.08995168656110764, + "learning_rate": 0.0002457420924574209, + "loss": 0.7066, + "step": 361 + }, + { + "epoch": 0.7916894477856752, + "grad_norm": 0.07973846793174744, + "learning_rate": 0.0002454987834549878, + "loss": 0.6593, + "step": 362 + }, + { + "epoch": 0.7938764352104976, + "grad_norm": 0.09430316090583801, + "learning_rate": 0.0002452554744525547, + "loss": 0.9323, + "step": 363 + }, + { + "epoch": 0.7960634226353198, + "grad_norm": 0.11289868503808975, + "learning_rate": 0.0002450121654501216, + "loss": 0.8149, + "step": 364 + }, + { + "epoch": 0.7982504100601422, + "grad_norm": 0.10845208168029785, + "learning_rate": 0.00024476885644768856, + "loss": 0.9717, + "step": 365 + }, + { + "epoch": 0.8004373974849645, + "grad_norm": 0.11709251254796982, + "learning_rate": 0.00024452554744525546, + "loss": 0.8802, + "step": 366 + }, + { + "epoch": 0.8026243849097867, + "grad_norm": 0.10186027735471725, + "learning_rate": 0.00024428223844282236, + "loss": 0.9955, + "step": 367 + }, + { + "epoch": 0.8048113723346091, + "grad_norm": 0.09093078225851059, + "learning_rate": 0.0002440389294403893, + "loss": 0.8325, + "step": 368 + }, + { + "epoch": 0.8069983597594313, + "grad_norm": 0.07772413641214371, + "learning_rate": 0.00024379562043795619, + "loss": 0.7639, + "step": 369 + }, + { + "epoch": 0.8091853471842537, + "grad_norm": 0.08604776859283447, + "learning_rate": 0.00024355231143552308, + "loss": 0.8633, + "step": 370 + }, + { + "epoch": 0.811372334609076, + "grad_norm": 0.089251309633255, + "learning_rate": 0.00024330900243309, + "loss": 0.6428, + "step": 371 + }, + { + "epoch": 0.8135593220338984, + "grad_norm": 0.21300595998764038, + "learning_rate": 0.0002430656934306569, + "loss": 0.906, + "step": 372 + }, + { + "epoch": 0.8157463094587206, + "grad_norm": 0.08114136755466461, + "learning_rate": 0.0002428223844282238, + "loss": 0.8834, + "step": 373 + }, + { + "epoch": 0.8179332968835429, + "grad_norm": 0.06985340267419815, + "learning_rate": 0.00024257907542579076, + "loss": 0.6912, + "step": 374 + }, + { + "epoch": 0.8201202843083653, + "grad_norm": 0.07757239043712616, + "learning_rate": 0.00024233576642335766, + "loss": 0.7713, + "step": 375 + }, + { + "epoch": 0.8223072717331875, + "grad_norm": 0.084066241979599, + "learning_rate": 0.00024209245742092456, + "loss": 0.7421, + "step": 376 + }, + { + "epoch": 0.8244942591580099, + "grad_norm": 0.08174380660057068, + "learning_rate": 0.00024184914841849148, + "loss": 0.8498, + "step": 377 + }, + { + "epoch": 0.8266812465828322, + "grad_norm": 0.06162627413868904, + "learning_rate": 0.00024160583941605838, + "loss": 0.5876, + "step": 378 + }, + { + "epoch": 0.8288682340076544, + "grad_norm": 0.10298137366771698, + "learning_rate": 0.00024136253041362528, + "loss": 0.8196, + "step": 379 + }, + { + "epoch": 0.8310552214324768, + "grad_norm": 0.08119028806686401, + "learning_rate": 0.0002411192214111922, + "loss": 0.5444, + "step": 380 + }, + { + "epoch": 0.833242208857299, + "grad_norm": 0.08673791587352753, + "learning_rate": 0.0002408759124087591, + "loss": 0.9114, + "step": 381 + }, + { + "epoch": 0.8354291962821214, + "grad_norm": 0.0688074380159378, + "learning_rate": 0.000240632603406326, + "loss": 0.7053, + "step": 382 + }, + { + "epoch": 0.8376161837069437, + "grad_norm": 0.12562371790409088, + "learning_rate": 0.0002403892944038929, + "loss": 0.8712, + "step": 383 + }, + { + "epoch": 0.839803171131766, + "grad_norm": 0.10272371768951416, + "learning_rate": 0.00024014598540145985, + "loss": 0.8055, + "step": 384 + }, + { + "epoch": 0.8419901585565883, + "grad_norm": 0.13328184187412262, + "learning_rate": 0.00023990267639902675, + "loss": 0.9087, + "step": 385 + }, + { + "epoch": 0.8441771459814106, + "grad_norm": 0.09337835758924484, + "learning_rate": 0.00023965936739659365, + "loss": 0.6886, + "step": 386 + }, + { + "epoch": 0.846364133406233, + "grad_norm": 0.07529181987047195, + "learning_rate": 0.00023941605839416057, + "loss": 0.7389, + "step": 387 + }, + { + "epoch": 0.8485511208310552, + "grad_norm": 0.10435959696769714, + "learning_rate": 0.00023917274939172747, + "loss": 0.7838, + "step": 388 + }, + { + "epoch": 0.8507381082558775, + "grad_norm": 0.08538194000720978, + "learning_rate": 0.00023892944038929437, + "loss": 0.7966, + "step": 389 + }, + { + "epoch": 0.8529250956806999, + "grad_norm": 0.09401832520961761, + "learning_rate": 0.0002386861313868613, + "loss": 0.645, + "step": 390 + }, + { + "epoch": 0.8551120831055221, + "grad_norm": 0.09455198794603348, + "learning_rate": 0.0002384428223844282, + "loss": 0.9683, + "step": 391 + }, + { + "epoch": 0.8572990705303445, + "grad_norm": 0.058899346739053726, + "learning_rate": 0.0002381995133819951, + "loss": 0.6329, + "step": 392 + }, + { + "epoch": 0.8594860579551667, + "grad_norm": 0.0685233399271965, + "learning_rate": 0.00023795620437956204, + "loss": 0.7726, + "step": 393 + }, + { + "epoch": 0.861673045379989, + "grad_norm": 0.09566155076026917, + "learning_rate": 0.00023771289537712894, + "loss": 0.7785, + "step": 394 + }, + { + "epoch": 0.8638600328048114, + "grad_norm": 0.0806843563914299, + "learning_rate": 0.00023746958637469584, + "loss": 0.7561, + "step": 395 + }, + { + "epoch": 0.8660470202296336, + "grad_norm": 0.0732002779841423, + "learning_rate": 0.00023722627737226277, + "loss": 0.7165, + "step": 396 + }, + { + "epoch": 0.868234007654456, + "grad_norm": 0.07124020159244537, + "learning_rate": 0.00023698296836982967, + "loss": 0.6741, + "step": 397 + }, + { + "epoch": 0.8704209950792783, + "grad_norm": 0.07025041431188583, + "learning_rate": 0.00023673965936739656, + "loss": 0.7672, + "step": 398 + }, + { + "epoch": 0.8726079825041007, + "grad_norm": 0.07770847529172897, + "learning_rate": 0.0002364963503649635, + "loss": 0.7625, + "step": 399 + }, + { + "epoch": 0.8747949699289229, + "grad_norm": 0.0754380151629448, + "learning_rate": 0.0002362530413625304, + "loss": 0.8177, + "step": 400 + }, + { + "epoch": 0.8769819573537452, + "grad_norm": 0.09001924097537994, + "learning_rate": 0.00023600973236009729, + "loss": 0.8044, + "step": 401 + }, + { + "epoch": 0.8791689447785676, + "grad_norm": 0.0933196097612381, + "learning_rate": 0.0002357664233576642, + "loss": 0.7618, + "step": 402 + }, + { + "epoch": 0.8813559322033898, + "grad_norm": 0.08752693235874176, + "learning_rate": 0.00023552311435523114, + "loss": 0.848, + "step": 403 + }, + { + "epoch": 0.8835429196282122, + "grad_norm": 0.08639179170131683, + "learning_rate": 0.00023527980535279804, + "loss": 0.7606, + "step": 404 + }, + { + "epoch": 0.8857299070530344, + "grad_norm": 0.11928462237119675, + "learning_rate": 0.00023503649635036496, + "loss": 0.8864, + "step": 405 + }, + { + "epoch": 0.8879168944778567, + "grad_norm": 0.1538437306880951, + "learning_rate": 0.00023479318734793186, + "loss": 1.0147, + "step": 406 + }, + { + "epoch": 0.8901038819026791, + "grad_norm": 0.10934260487556458, + "learning_rate": 0.00023454987834549876, + "loss": 0.7412, + "step": 407 + }, + { + "epoch": 0.8922908693275013, + "grad_norm": 0.08213051408529282, + "learning_rate": 0.00023430656934306568, + "loss": 0.777, + "step": 408 + }, + { + "epoch": 0.8944778567523237, + "grad_norm": 0.07685597985982895, + "learning_rate": 0.00023406326034063258, + "loss": 0.7021, + "step": 409 + }, + { + "epoch": 0.896664844177146, + "grad_norm": 0.06291788816452026, + "learning_rate": 0.00023381995133819948, + "loss": 0.7728, + "step": 410 + }, + { + "epoch": 0.8988518316019682, + "grad_norm": 0.06567230075597763, + "learning_rate": 0.0002335766423357664, + "loss": 0.8203, + "step": 411 + }, + { + "epoch": 0.9010388190267906, + "grad_norm": 0.09065946936607361, + "learning_rate": 0.0002333333333333333, + "loss": 0.6544, + "step": 412 + }, + { + "epoch": 0.9032258064516129, + "grad_norm": 0.1213839203119278, + "learning_rate": 0.0002330900243309002, + "loss": 0.8355, + "step": 413 + }, + { + "epoch": 0.9054127938764353, + "grad_norm": 0.06476369500160217, + "learning_rate": 0.00023284671532846715, + "loss": 0.6924, + "step": 414 + }, + { + "epoch": 0.9075997813012575, + "grad_norm": 0.12273135781288147, + "learning_rate": 0.00023260340632603405, + "loss": 0.788, + "step": 415 + }, + { + "epoch": 0.9097867687260798, + "grad_norm": 0.11854178458452225, + "learning_rate": 0.00023236009732360095, + "loss": 0.8838, + "step": 416 + }, + { + "epoch": 0.9119737561509021, + "grad_norm": 0.07701408118009567, + "learning_rate": 0.00023211678832116788, + "loss": 0.6952, + "step": 417 + }, + { + "epoch": 0.9141607435757244, + "grad_norm": 0.08688625693321228, + "learning_rate": 0.00023187347931873478, + "loss": 0.7104, + "step": 418 + }, + { + "epoch": 0.9163477310005468, + "grad_norm": 0.07495059818029404, + "learning_rate": 0.00023163017031630167, + "loss": 0.7142, + "step": 419 + }, + { + "epoch": 0.918534718425369, + "grad_norm": 0.1056298315525055, + "learning_rate": 0.00023138686131386857, + "loss": 0.6727, + "step": 420 + }, + { + "epoch": 0.9207217058501913, + "grad_norm": 0.11183115839958191, + "learning_rate": 0.0002311435523114355, + "loss": 0.7524, + "step": 421 + }, + { + "epoch": 0.9229086932750137, + "grad_norm": 0.08190497010946274, + "learning_rate": 0.0002309002433090024, + "loss": 0.7985, + "step": 422 + }, + { + "epoch": 0.9250956806998359, + "grad_norm": 0.2765990197658539, + "learning_rate": 0.0002306569343065693, + "loss": 0.6765, + "step": 423 + }, + { + "epoch": 0.9272826681246583, + "grad_norm": 0.11259368062019348, + "learning_rate": 0.00023041362530413625, + "loss": 0.7743, + "step": 424 + }, + { + "epoch": 0.9294696555494806, + "grad_norm": 0.0822245180606842, + "learning_rate": 0.00023017031630170315, + "loss": 0.7372, + "step": 425 + }, + { + "epoch": 0.931656642974303, + "grad_norm": 0.10144142806529999, + "learning_rate": 0.00022992700729927004, + "loss": 0.6968, + "step": 426 + }, + { + "epoch": 0.9338436303991252, + "grad_norm": 0.09696798771619797, + "learning_rate": 0.00022968369829683697, + "loss": 0.806, + "step": 427 + }, + { + "epoch": 0.9360306178239475, + "grad_norm": 0.11856890469789505, + "learning_rate": 0.00022944038929440387, + "loss": 0.882, + "step": 428 + }, + { + "epoch": 0.9382176052487698, + "grad_norm": 0.06787081062793732, + "learning_rate": 0.00022919708029197077, + "loss": 0.6118, + "step": 429 + }, + { + "epoch": 0.9404045926735921, + "grad_norm": 0.09057892113924026, + "learning_rate": 0.0002289537712895377, + "loss": 0.8325, + "step": 430 + }, + { + "epoch": 0.9425915800984145, + "grad_norm": 0.07022044062614441, + "learning_rate": 0.0002287104622871046, + "loss": 0.6192, + "step": 431 + }, + { + "epoch": 0.9447785675232367, + "grad_norm": 0.08649107813835144, + "learning_rate": 0.0002284671532846715, + "loss": 0.857, + "step": 432 + }, + { + "epoch": 0.946965554948059, + "grad_norm": 0.07676275819540024, + "learning_rate": 0.00022822384428223844, + "loss": 0.7976, + "step": 433 + }, + { + "epoch": 0.9491525423728814, + "grad_norm": 0.07858209311962128, + "learning_rate": 0.00022798053527980534, + "loss": 0.7824, + "step": 434 + }, + { + "epoch": 0.9513395297977036, + "grad_norm": 0.09957145154476166, + "learning_rate": 0.00022773722627737224, + "loss": 0.8206, + "step": 435 + }, + { + "epoch": 0.953526517222526, + "grad_norm": 0.08858057111501694, + "learning_rate": 0.00022749391727493916, + "loss": 1.0141, + "step": 436 + }, + { + "epoch": 0.9557135046473483, + "grad_norm": 0.0794423297047615, + "learning_rate": 0.00022725060827250606, + "loss": 0.7769, + "step": 437 + }, + { + "epoch": 0.9579004920721705, + "grad_norm": 0.09044236689805984, + "learning_rate": 0.00022700729927007296, + "loss": 0.7227, + "step": 438 + }, + { + "epoch": 0.9600874794969929, + "grad_norm": 0.09911444038152695, + "learning_rate": 0.00022676399026763989, + "loss": 0.6723, + "step": 439 + }, + { + "epoch": 0.9622744669218152, + "grad_norm": 0.08497105538845062, + "learning_rate": 0.00022652068126520678, + "loss": 0.8241, + "step": 440 + }, + { + "epoch": 0.9644614543466375, + "grad_norm": 0.08847412467002869, + "learning_rate": 0.00022627737226277368, + "loss": 0.6155, + "step": 441 + }, + { + "epoch": 0.9666484417714598, + "grad_norm": 0.0679594874382019, + "learning_rate": 0.00022603406326034064, + "loss": 0.6382, + "step": 442 + }, + { + "epoch": 0.9688354291962821, + "grad_norm": 0.09888885915279388, + "learning_rate": 0.00022579075425790753, + "loss": 0.5856, + "step": 443 + }, + { + "epoch": 0.9710224166211044, + "grad_norm": 0.06397063285112381, + "learning_rate": 0.00022554744525547443, + "loss": 0.76, + "step": 444 + }, + { + "epoch": 0.9732094040459267, + "grad_norm": 0.08151905983686447, + "learning_rate": 0.00022530413625304136, + "loss": 0.643, + "step": 445 + }, + { + "epoch": 0.9753963914707491, + "grad_norm": 0.07495240122079849, + "learning_rate": 0.00022506082725060826, + "loss": 0.7504, + "step": 446 + }, + { + "epoch": 0.9775833788955713, + "grad_norm": 0.08991455286741257, + "learning_rate": 0.00022481751824817515, + "loss": 0.7767, + "step": 447 + }, + { + "epoch": 0.9797703663203936, + "grad_norm": 0.07767476886510849, + "learning_rate": 0.00022457420924574208, + "loss": 0.7207, + "step": 448 + }, + { + "epoch": 0.981957353745216, + "grad_norm": 0.0883600041270256, + "learning_rate": 0.00022433090024330898, + "loss": 0.8896, + "step": 449 + }, + { + "epoch": 0.9841443411700382, + "grad_norm": 0.11757014691829681, + "learning_rate": 0.00022408759124087588, + "loss": 0.5694, + "step": 450 + }, + { + "epoch": 0.9863313285948606, + "grad_norm": 0.08310514688491821, + "learning_rate": 0.00022384428223844283, + "loss": 0.9715, + "step": 451 + }, + { + "epoch": 0.9885183160196829, + "grad_norm": 0.09455931186676025, + "learning_rate": 0.00022360097323600973, + "loss": 0.9526, + "step": 452 + }, + { + "epoch": 0.9907053034445052, + "grad_norm": 0.08626757562160492, + "learning_rate": 0.00022335766423357663, + "loss": 0.8127, + "step": 453 + }, + { + "epoch": 0.9928922908693275, + "grad_norm": 0.08407536894083023, + "learning_rate": 0.00022311435523114355, + "loss": 0.7764, + "step": 454 + }, + { + "epoch": 0.9950792782941498, + "grad_norm": 0.10693719238042831, + "learning_rate": 0.00022287104622871045, + "loss": 0.706, + "step": 455 + }, + { + "epoch": 0.9972662657189721, + "grad_norm": 0.07599896937608719, + "learning_rate": 0.00022262773722627735, + "loss": 0.8434, + "step": 456 + }, + { + "epoch": 0.9994532531437944, + "grad_norm": 0.07123170793056488, + "learning_rate": 0.00022238442822384425, + "loss": 0.6959, + "step": 457 + }, + { + "epoch": 1.0016402405686167, + "grad_norm": 0.20969897508621216, + "learning_rate": 0.00022214111922141117, + "loss": 1.0995, + "step": 458 + }, + { + "epoch": 1.003827227993439, + "grad_norm": 0.12732672691345215, + "learning_rate": 0.00022189781021897807, + "loss": 0.9649, + "step": 459 + }, + { + "epoch": 1.0060142154182614, + "grad_norm": 0.08339140564203262, + "learning_rate": 0.00022165450121654497, + "loss": 0.9371, + "step": 460 + }, + { + "epoch": 1.0082012028430836, + "grad_norm": 0.09266138076782227, + "learning_rate": 0.00022141119221411192, + "loss": 0.7334, + "step": 461 + }, + { + "epoch": 1.010388190267906, + "grad_norm": 0.12296944111585617, + "learning_rate": 0.00022116788321167882, + "loss": 0.7505, + "step": 462 + }, + { + "epoch": 1.0125751776927283, + "grad_norm": 0.17032410204410553, + "learning_rate": 0.00022092457420924572, + "loss": 0.6232, + "step": 463 + }, + { + "epoch": 1.0147621651175505, + "grad_norm": 0.08110660314559937, + "learning_rate": 0.00022068126520681264, + "loss": 1.1344, + "step": 464 + }, + { + "epoch": 1.0169491525423728, + "grad_norm": 0.07539701461791992, + "learning_rate": 0.00022043795620437954, + "loss": 0.704, + "step": 465 + }, + { + "epoch": 1.0191361399671952, + "grad_norm": 0.08034122735261917, + "learning_rate": 0.00022019464720194644, + "loss": 0.5416, + "step": 466 + }, + { + "epoch": 1.0213231273920176, + "grad_norm": 0.07798154652118683, + "learning_rate": 0.00021995133819951337, + "loss": 0.6736, + "step": 467 + }, + { + "epoch": 1.0235101148168397, + "grad_norm": 0.07347667962312698, + "learning_rate": 0.00021970802919708026, + "loss": 0.7469, + "step": 468 + }, + { + "epoch": 1.025697102241662, + "grad_norm": 0.0723293349146843, + "learning_rate": 0.00021946472019464716, + "loss": 0.8055, + "step": 469 + }, + { + "epoch": 1.0278840896664845, + "grad_norm": 0.08823157101869583, + "learning_rate": 0.00021922141119221412, + "loss": 0.7907, + "step": 470 + }, + { + "epoch": 1.0300710770913066, + "grad_norm": 0.08100754022598267, + "learning_rate": 0.00021897810218978101, + "loss": 0.9336, + "step": 471 + }, + { + "epoch": 1.032258064516129, + "grad_norm": 0.07761968672275543, + "learning_rate": 0.0002187347931873479, + "loss": 0.7412, + "step": 472 + }, + { + "epoch": 1.0344450519409514, + "grad_norm": 0.10911740362644196, + "learning_rate": 0.00021849148418491484, + "loss": 0.9158, + "step": 473 + }, + { + "epoch": 1.0366320393657737, + "grad_norm": 0.095650814473629, + "learning_rate": 0.00021824817518248174, + "loss": 0.7259, + "step": 474 + }, + { + "epoch": 1.038819026790596, + "grad_norm": 0.07425477355718613, + "learning_rate": 0.00021800486618004863, + "loss": 0.7245, + "step": 475 + }, + { + "epoch": 1.0410060142154183, + "grad_norm": 0.10135407000780106, + "learning_rate": 0.00021776155717761556, + "loss": 0.8769, + "step": 476 + }, + { + "epoch": 1.0431930016402406, + "grad_norm": 0.07602710276842117, + "learning_rate": 0.00021751824817518246, + "loss": 0.7174, + "step": 477 + }, + { + "epoch": 1.0453799890650628, + "grad_norm": 0.07748197764158249, + "learning_rate": 0.00021727493917274936, + "loss": 0.7229, + "step": 478 + }, + { + "epoch": 1.0475669764898852, + "grad_norm": 0.08943518996238708, + "learning_rate": 0.00021703163017031628, + "loss": 0.6997, + "step": 479 + }, + { + "epoch": 1.0497539639147075, + "grad_norm": 0.07173087447881699, + "learning_rate": 0.0002167883211678832, + "loss": 0.6794, + "step": 480 + }, + { + "epoch": 1.0519409513395297, + "grad_norm": 0.08462771028280258, + "learning_rate": 0.0002165450121654501, + "loss": 0.784, + "step": 481 + }, + { + "epoch": 1.054127938764352, + "grad_norm": 0.08702407777309418, + "learning_rate": 0.00021630170316301703, + "loss": 0.8735, + "step": 482 + }, + { + "epoch": 1.0563149261891744, + "grad_norm": 0.07053522020578384, + "learning_rate": 0.00021605839416058393, + "loss": 0.6618, + "step": 483 + }, + { + "epoch": 1.0585019136139968, + "grad_norm": 0.12078283727169037, + "learning_rate": 0.00021581508515815083, + "loss": 0.9134, + "step": 484 + }, + { + "epoch": 1.060688901038819, + "grad_norm": 0.08420273661613464, + "learning_rate": 0.00021557177615571775, + "loss": 0.788, + "step": 485 + }, + { + "epoch": 1.0628758884636413, + "grad_norm": 0.0908360555768013, + "learning_rate": 0.00021532846715328465, + "loss": 0.8345, + "step": 486 + }, + { + "epoch": 1.0650628758884637, + "grad_norm": 0.07254708558320999, + "learning_rate": 0.00021508515815085155, + "loss": 0.6774, + "step": 487 + }, + { + "epoch": 1.0672498633132859, + "grad_norm": 0.06593185663223267, + "learning_rate": 0.00021484184914841848, + "loss": 0.579, + "step": 488 + }, + { + "epoch": 1.0694368507381082, + "grad_norm": 0.0874580591917038, + "learning_rate": 0.00021459854014598537, + "loss": 0.8225, + "step": 489 + }, + { + "epoch": 1.0716238381629306, + "grad_norm": 0.11460527032613754, + "learning_rate": 0.00021435523114355227, + "loss": 0.883, + "step": 490 + }, + { + "epoch": 1.0738108255877528, + "grad_norm": 0.18787309527397156, + "learning_rate": 0.00021411192214111923, + "loss": 1.0423, + "step": 491 + }, + { + "epoch": 1.0759978130125751, + "grad_norm": 0.09558310359716415, + "learning_rate": 0.00021386861313868612, + "loss": 0.7018, + "step": 492 + }, + { + "epoch": 1.0781848004373975, + "grad_norm": 0.10145874321460724, + "learning_rate": 0.00021362530413625302, + "loss": 0.8135, + "step": 493 + }, + { + "epoch": 1.0803717878622199, + "grad_norm": 0.09003987908363342, + "learning_rate": 0.00021338199513381992, + "loss": 0.757, + "step": 494 + }, + { + "epoch": 1.082558775287042, + "grad_norm": 0.06621800363063812, + "learning_rate": 0.00021313868613138685, + "loss": 0.6209, + "step": 495 + }, + { + "epoch": 1.0847457627118644, + "grad_norm": 0.10110119730234146, + "learning_rate": 0.00021289537712895374, + "loss": 0.7889, + "step": 496 + }, + { + "epoch": 1.0869327501366868, + "grad_norm": 0.09702326357364655, + "learning_rate": 0.00021265206812652064, + "loss": 0.9833, + "step": 497 + }, + { + "epoch": 1.089119737561509, + "grad_norm": 0.07082308083772659, + "learning_rate": 0.00021240875912408757, + "loss": 0.6822, + "step": 498 + }, + { + "epoch": 1.0913067249863313, + "grad_norm": 0.07789671421051025, + "learning_rate": 0.00021216545012165447, + "loss": 0.8113, + "step": 499 + }, + { + "epoch": 1.0934937124111537, + "grad_norm": 0.12656526267528534, + "learning_rate": 0.00021192214111922137, + "loss": 0.7292, + "step": 500 + }, + { + "epoch": 1.095680699835976, + "grad_norm": 0.07907406240701675, + "learning_rate": 0.00021167883211678832, + "loss": 0.7658, + "step": 501 + }, + { + "epoch": 1.0978676872607982, + "grad_norm": 0.07924725860357285, + "learning_rate": 0.00021143552311435522, + "loss": 0.8642, + "step": 502 + }, + { + "epoch": 1.1000546746856206, + "grad_norm": 0.10268541425466537, + "learning_rate": 0.00021119221411192211, + "loss": 0.7222, + "step": 503 + }, + { + "epoch": 1.102241662110443, + "grad_norm": 0.08629688620567322, + "learning_rate": 0.00021094890510948904, + "loss": 0.8903, + "step": 504 + }, + { + "epoch": 1.104428649535265, + "grad_norm": 0.09736735373735428, + "learning_rate": 0.00021070559610705594, + "loss": 0.8207, + "step": 505 + }, + { + "epoch": 1.1066156369600875, + "grad_norm": 0.0911911278963089, + "learning_rate": 0.00021046228710462284, + "loss": 0.707, + "step": 506 + }, + { + "epoch": 1.1088026243849098, + "grad_norm": 0.07125036418437958, + "learning_rate": 0.00021021897810218976, + "loss": 0.7911, + "step": 507 + }, + { + "epoch": 1.110989611809732, + "grad_norm": 0.08185127377510071, + "learning_rate": 0.00020997566909975666, + "loss": 0.7877, + "step": 508 + }, + { + "epoch": 1.1131765992345544, + "grad_norm": 0.08671905845403671, + "learning_rate": 0.00020973236009732356, + "loss": 0.8329, + "step": 509 + }, + { + "epoch": 1.1153635866593767, + "grad_norm": 0.07348527759313583, + "learning_rate": 0.0002094890510948905, + "loss": 0.6935, + "step": 510 + }, + { + "epoch": 1.117550574084199, + "grad_norm": 0.08605052530765533, + "learning_rate": 0.0002092457420924574, + "loss": 0.7105, + "step": 511 + }, + { + "epoch": 1.1197375615090213, + "grad_norm": 0.09225083887577057, + "learning_rate": 0.0002090024330900243, + "loss": 0.7497, + "step": 512 + }, + { + "epoch": 1.1219245489338436, + "grad_norm": 0.09900879859924316, + "learning_rate": 0.00020875912408759123, + "loss": 0.8302, + "step": 513 + }, + { + "epoch": 1.124111536358666, + "grad_norm": 0.1019401028752327, + "learning_rate": 0.00020851581508515813, + "loss": 0.9673, + "step": 514 + }, + { + "epoch": 1.1262985237834882, + "grad_norm": 0.0875234454870224, + "learning_rate": 0.00020827250608272503, + "loss": 0.6575, + "step": 515 + }, + { + "epoch": 1.1284855112083105, + "grad_norm": 0.08452007174491882, + "learning_rate": 0.00020802919708029196, + "loss": 0.6998, + "step": 516 + }, + { + "epoch": 1.130672498633133, + "grad_norm": 0.08561667054891586, + "learning_rate": 0.00020778588807785885, + "loss": 0.5517, + "step": 517 + }, + { + "epoch": 1.132859486057955, + "grad_norm": 0.08788544684648514, + "learning_rate": 0.00020754257907542575, + "loss": 0.7727, + "step": 518 + }, + { + "epoch": 1.1350464734827774, + "grad_norm": 0.06977652758359909, + "learning_rate": 0.0002072992700729927, + "loss": 0.514, + "step": 519 + }, + { + "epoch": 1.1372334609075998, + "grad_norm": 0.06130863353610039, + "learning_rate": 0.0002070559610705596, + "loss": 0.7127, + "step": 520 + }, + { + "epoch": 1.1394204483324222, + "grad_norm": 0.0844646543264389, + "learning_rate": 0.0002068126520681265, + "loss": 0.6549, + "step": 521 + }, + { + "epoch": 1.1416074357572443, + "grad_norm": 0.09989370405673981, + "learning_rate": 0.00020656934306569343, + "loss": 0.8036, + "step": 522 + }, + { + "epoch": 1.1437944231820667, + "grad_norm": 0.07263204455375671, + "learning_rate": 0.00020632603406326033, + "loss": 0.86, + "step": 523 + }, + { + "epoch": 1.145981410606889, + "grad_norm": 0.09207324683666229, + "learning_rate": 0.00020608272506082722, + "loss": 0.8043, + "step": 524 + }, + { + "epoch": 1.1481683980317112, + "grad_norm": 0.08681024610996246, + "learning_rate": 0.00020583941605839415, + "loss": 0.7015, + "step": 525 + }, + { + "epoch": 1.1503553854565336, + "grad_norm": 0.07698823511600494, + "learning_rate": 0.00020559610705596105, + "loss": 0.6008, + "step": 526 + }, + { + "epoch": 1.152542372881356, + "grad_norm": 0.07747140526771545, + "learning_rate": 0.00020535279805352795, + "loss": 0.5263, + "step": 527 + }, + { + "epoch": 1.1547293603061783, + "grad_norm": 0.08536474406719208, + "learning_rate": 0.0002051094890510949, + "loss": 0.8093, + "step": 528 + }, + { + "epoch": 1.1569163477310005, + "grad_norm": 0.08392032980918884, + "learning_rate": 0.0002048661800486618, + "loss": 0.8414, + "step": 529 + }, + { + "epoch": 1.1591033351558229, + "grad_norm": 0.09120789170265198, + "learning_rate": 0.0002046228710462287, + "loss": 0.8049, + "step": 530 + }, + { + "epoch": 1.1612903225806452, + "grad_norm": 0.07453621923923492, + "learning_rate": 0.0002043795620437956, + "loss": 0.7692, + "step": 531 + }, + { + "epoch": 1.1634773100054674, + "grad_norm": 0.09812572598457336, + "learning_rate": 0.00020413625304136252, + "loss": 0.8122, + "step": 532 + }, + { + "epoch": 1.1656642974302898, + "grad_norm": 0.07299792766571045, + "learning_rate": 0.00020389294403892942, + "loss": 0.7397, + "step": 533 + }, + { + "epoch": 1.1678512848551121, + "grad_norm": 0.11568590253591537, + "learning_rate": 0.00020364963503649632, + "loss": 0.8407, + "step": 534 + }, + { + "epoch": 1.1700382722799345, + "grad_norm": 0.08939476311206818, + "learning_rate": 0.00020340632603406324, + "loss": 0.7363, + "step": 535 + }, + { + "epoch": 1.1722252597047567, + "grad_norm": 0.07544557750225067, + "learning_rate": 0.00020316301703163014, + "loss": 0.6445, + "step": 536 + }, + { + "epoch": 1.174412247129579, + "grad_norm": 0.07536011189222336, + "learning_rate": 0.00020291970802919704, + "loss": 0.8258, + "step": 537 + }, + { + "epoch": 1.1765992345544014, + "grad_norm": 0.0643959566950798, + "learning_rate": 0.000202676399026764, + "loss": 0.6465, + "step": 538 + }, + { + "epoch": 1.1787862219792236, + "grad_norm": 0.11400493234395981, + "learning_rate": 0.0002024330900243309, + "loss": 0.7816, + "step": 539 + }, + { + "epoch": 1.180973209404046, + "grad_norm": 0.10577233880758286, + "learning_rate": 0.0002021897810218978, + "loss": 0.8459, + "step": 540 + }, + { + "epoch": 1.1831601968288683, + "grad_norm": 0.07300820201635361, + "learning_rate": 0.00020194647201946471, + "loss": 0.7786, + "step": 541 + }, + { + "epoch": 1.1853471842536905, + "grad_norm": 0.08495799452066422, + "learning_rate": 0.0002017031630170316, + "loss": 0.69, + "step": 542 + }, + { + "epoch": 1.1875341716785128, + "grad_norm": 0.09539131075143814, + "learning_rate": 0.0002014598540145985, + "loss": 0.6451, + "step": 543 + }, + { + "epoch": 1.1897211591033352, + "grad_norm": 0.1075504943728447, + "learning_rate": 0.00020121654501216544, + "loss": 0.8049, + "step": 544 + }, + { + "epoch": 1.1919081465281574, + "grad_norm": 0.09202999621629715, + "learning_rate": 0.00020097323600973233, + "loss": 0.7244, + "step": 545 + }, + { + "epoch": 1.1940951339529797, + "grad_norm": 0.08228336274623871, + "learning_rate": 0.00020072992700729923, + "loss": 0.8011, + "step": 546 + }, + { + "epoch": 1.196282121377802, + "grad_norm": 0.08305627852678299, + "learning_rate": 0.00020048661800486619, + "loss": 0.847, + "step": 547 + }, + { + "epoch": 1.1984691088026245, + "grad_norm": 0.07865869998931885, + "learning_rate": 0.00020024330900243308, + "loss": 0.7461, + "step": 548 + }, + { + "epoch": 1.2006560962274466, + "grad_norm": 0.09271178394556046, + "learning_rate": 0.00019999999999999998, + "loss": 0.7679, + "step": 549 + }, + { + "epoch": 1.202843083652269, + "grad_norm": 0.0922798290848732, + "learning_rate": 0.0001997566909975669, + "loss": 0.8033, + "step": 550 + }, + { + "epoch": 1.2050300710770914, + "grad_norm": 0.09110455960035324, + "learning_rate": 0.0001995133819951338, + "loss": 0.8742, + "step": 551 + }, + { + "epoch": 1.2072170585019135, + "grad_norm": 0.0730852261185646, + "learning_rate": 0.0001992700729927007, + "loss": 0.7562, + "step": 552 + }, + { + "epoch": 1.209404045926736, + "grad_norm": 0.06643499433994293, + "learning_rate": 0.00019902676399026763, + "loss": 0.6422, + "step": 553 + }, + { + "epoch": 1.2115910333515583, + "grad_norm": 0.07242454588413239, + "learning_rate": 0.00019878345498783453, + "loss": 0.748, + "step": 554 + }, + { + "epoch": 1.2137780207763806, + "grad_norm": 0.08619828522205353, + "learning_rate": 0.00019854014598540143, + "loss": 0.8166, + "step": 555 + }, + { + "epoch": 1.2159650082012028, + "grad_norm": 0.09129846841096878, + "learning_rate": 0.00019829683698296835, + "loss": 0.676, + "step": 556 + }, + { + "epoch": 1.2181519956260252, + "grad_norm": 0.08631033450365067, + "learning_rate": 0.00019805352798053528, + "loss": 0.7698, + "step": 557 + }, + { + "epoch": 1.2203389830508475, + "grad_norm": 0.08128698170185089, + "learning_rate": 0.00019781021897810218, + "loss": 0.7147, + "step": 558 + }, + { + "epoch": 1.2225259704756697, + "grad_norm": 0.07369400560855865, + "learning_rate": 0.0001975669099756691, + "loss": 0.6262, + "step": 559 + }, + { + "epoch": 1.224712957900492, + "grad_norm": 0.08060947805643082, + "learning_rate": 0.000197323600973236, + "loss": 0.6849, + "step": 560 + }, + { + "epoch": 1.2268999453253144, + "grad_norm": 0.11909829080104828, + "learning_rate": 0.0001970802919708029, + "loss": 0.7501, + "step": 561 + }, + { + "epoch": 1.2290869327501368, + "grad_norm": 0.06883462518453598, + "learning_rate": 0.00019683698296836982, + "loss": 0.7534, + "step": 562 + }, + { + "epoch": 1.231273920174959, + "grad_norm": 0.09389229118824005, + "learning_rate": 0.00019659367396593672, + "loss": 0.7633, + "step": 563 + }, + { + "epoch": 1.2334609075997813, + "grad_norm": 0.15211661159992218, + "learning_rate": 0.00019635036496350362, + "loss": 0.8601, + "step": 564 + }, + { + "epoch": 1.2356478950246037, + "grad_norm": 0.1066446304321289, + "learning_rate": 0.00019610705596107055, + "loss": 0.7823, + "step": 565 + }, + { + "epoch": 1.2378348824494259, + "grad_norm": 0.0933123454451561, + "learning_rate": 0.00019586374695863744, + "loss": 0.6385, + "step": 566 + }, + { + "epoch": 1.2400218698742482, + "grad_norm": 0.0786425843834877, + "learning_rate": 0.00019562043795620434, + "loss": 0.8507, + "step": 567 + }, + { + "epoch": 1.2422088572990706, + "grad_norm": 0.07565059512853622, + "learning_rate": 0.00019537712895377127, + "loss": 0.7277, + "step": 568 + }, + { + "epoch": 1.2443958447238928, + "grad_norm": 0.07797711342573166, + "learning_rate": 0.0001951338199513382, + "loss": 0.7442, + "step": 569 + }, + { + "epoch": 1.2465828321487151, + "grad_norm": 0.0829596221446991, + "learning_rate": 0.0001948905109489051, + "loss": 0.8783, + "step": 570 + }, + { + "epoch": 1.2487698195735375, + "grad_norm": 0.0774836465716362, + "learning_rate": 0.000194647201946472, + "loss": 0.8101, + "step": 571 + }, + { + "epoch": 1.2509568069983596, + "grad_norm": 0.07605165988206863, + "learning_rate": 0.00019440389294403892, + "loss": 0.7215, + "step": 572 + }, + { + "epoch": 1.253143794423182, + "grad_norm": 0.1113625019788742, + "learning_rate": 0.00019416058394160581, + "loss": 0.8515, + "step": 573 + }, + { + "epoch": 1.2553307818480044, + "grad_norm": 0.08054937422275543, + "learning_rate": 0.0001939172749391727, + "loss": 0.7051, + "step": 574 + }, + { + "epoch": 1.2575177692728268, + "grad_norm": 0.08142528682947159, + "learning_rate": 0.00019367396593673964, + "loss": 0.791, + "step": 575 + }, + { + "epoch": 1.259704756697649, + "grad_norm": 0.10984218120574951, + "learning_rate": 0.00019343065693430654, + "loss": 0.8791, + "step": 576 + }, + { + "epoch": 1.2618917441224713, + "grad_norm": 0.07867792993783951, + "learning_rate": 0.00019318734793187344, + "loss": 0.6544, + "step": 577 + }, + { + "epoch": 1.2640787315472937, + "grad_norm": 0.06124382093548775, + "learning_rate": 0.0001929440389294404, + "loss": 0.7329, + "step": 578 + }, + { + "epoch": 1.2662657189721158, + "grad_norm": 0.07501594722270966, + "learning_rate": 0.0001927007299270073, + "loss": 0.7749, + "step": 579 + }, + { + "epoch": 1.2684527063969382, + "grad_norm": 0.06925557553768158, + "learning_rate": 0.00019245742092457418, + "loss": 0.8508, + "step": 580 + }, + { + "epoch": 1.2706396938217606, + "grad_norm": 0.07925001531839371, + "learning_rate": 0.0001922141119221411, + "loss": 0.7203, + "step": 581 + }, + { + "epoch": 1.272826681246583, + "grad_norm": 0.05928035452961922, + "learning_rate": 0.000191970802919708, + "loss": 0.7863, + "step": 582 + }, + { + "epoch": 1.275013668671405, + "grad_norm": 0.12883755564689636, + "learning_rate": 0.0001917274939172749, + "loss": 0.6748, + "step": 583 + }, + { + "epoch": 1.2772006560962275, + "grad_norm": 0.10315223783254623, + "learning_rate": 0.00019148418491484183, + "loss": 0.6919, + "step": 584 + }, + { + "epoch": 1.2793876435210498, + "grad_norm": 0.12279991805553436, + "learning_rate": 0.00019124087591240873, + "loss": 0.8249, + "step": 585 + }, + { + "epoch": 1.281574630945872, + "grad_norm": 0.07374682277441025, + "learning_rate": 0.00019099756690997563, + "loss": 0.743, + "step": 586 + }, + { + "epoch": 1.2837616183706944, + "grad_norm": 0.06919161230325699, + "learning_rate": 0.00019075425790754258, + "loss": 0.694, + "step": 587 + }, + { + "epoch": 1.2859486057955167, + "grad_norm": 0.07612544298171997, + "learning_rate": 0.00019051094890510948, + "loss": 0.6139, + "step": 588 + }, + { + "epoch": 1.288135593220339, + "grad_norm": 0.06362134218215942, + "learning_rate": 0.00019026763990267638, + "loss": 0.6047, + "step": 589 + }, + { + "epoch": 1.2903225806451613, + "grad_norm": 0.09474360942840576, + "learning_rate": 0.0001900243309002433, + "loss": 0.7546, + "step": 590 + }, + { + "epoch": 1.2925095680699836, + "grad_norm": 0.07961838692426682, + "learning_rate": 0.0001897810218978102, + "loss": 0.6868, + "step": 591 + }, + { + "epoch": 1.2946965554948058, + "grad_norm": 0.07441776245832443, + "learning_rate": 0.0001895377128953771, + "loss": 0.8037, + "step": 592 + }, + { + "epoch": 1.2968835429196282, + "grad_norm": 0.07067383080720901, + "learning_rate": 0.00018929440389294403, + "loss": 0.7229, + "step": 593 + }, + { + "epoch": 1.2990705303444505, + "grad_norm": 0.08303602039813995, + "learning_rate": 0.00018905109489051093, + "loss": 0.6702, + "step": 594 + }, + { + "epoch": 1.301257517769273, + "grad_norm": 0.10534394532442093, + "learning_rate": 0.00018880778588807782, + "loss": 0.8531, + "step": 595 + }, + { + "epoch": 1.3034445051940953, + "grad_norm": 0.09862379729747772, + "learning_rate": 0.00018856447688564478, + "loss": 0.7512, + "step": 596 + }, + { + "epoch": 1.3056314926189174, + "grad_norm": 0.07687103003263474, + "learning_rate": 0.00018832116788321167, + "loss": 0.7537, + "step": 597 + }, + { + "epoch": 1.3078184800437398, + "grad_norm": 0.07624842971563339, + "learning_rate": 0.00018807785888077857, + "loss": 0.7625, + "step": 598 + }, + { + "epoch": 1.310005467468562, + "grad_norm": 0.05970896780490875, + "learning_rate": 0.0001878345498783455, + "loss": 0.686, + "step": 599 + }, + { + "epoch": 1.3121924548933843, + "grad_norm": 0.06018206849694252, + "learning_rate": 0.0001875912408759124, + "loss": 0.6668, + "step": 600 + }, + { + "epoch": 1.3143794423182067, + "grad_norm": 0.07317280024290085, + "learning_rate": 0.0001873479318734793, + "loss": 0.7091, + "step": 601 + }, + { + "epoch": 1.316566429743029, + "grad_norm": 0.09511103481054306, + "learning_rate": 0.00018710462287104622, + "loss": 0.7613, + "step": 602 + }, + { + "epoch": 1.3187534171678512, + "grad_norm": 0.06807052344083786, + "learning_rate": 0.00018686131386861312, + "loss": 0.779, + "step": 603 + }, + { + "epoch": 1.3209404045926736, + "grad_norm": 0.07030756771564484, + "learning_rate": 0.00018661800486618002, + "loss": 0.7577, + "step": 604 + }, + { + "epoch": 1.323127392017496, + "grad_norm": 0.08547008782625198, + "learning_rate": 0.00018637469586374697, + "loss": 0.7051, + "step": 605 + }, + { + "epoch": 1.3253143794423181, + "grad_norm": 0.07970687747001648, + "learning_rate": 0.00018613138686131387, + "loss": 0.8236, + "step": 606 + }, + { + "epoch": 1.3275013668671405, + "grad_norm": 0.0841689333319664, + "learning_rate": 0.00018588807785888077, + "loss": 0.6824, + "step": 607 + }, + { + "epoch": 1.3296883542919629, + "grad_norm": 0.07402155548334122, + "learning_rate": 0.00018564476885644767, + "loss": 0.7276, + "step": 608 + }, + { + "epoch": 1.3318753417167852, + "grad_norm": 0.11181145906448364, + "learning_rate": 0.0001854014598540146, + "loss": 0.936, + "step": 609 + }, + { + "epoch": 1.3340623291416074, + "grad_norm": 0.10263890773057938, + "learning_rate": 0.0001851581508515815, + "loss": 0.7009, + "step": 610 + }, + { + "epoch": 1.3362493165664298, + "grad_norm": 0.12093400955200195, + "learning_rate": 0.0001849148418491484, + "loss": 0.7229, + "step": 611 + }, + { + "epoch": 1.3384363039912521, + "grad_norm": 0.0748431459069252, + "learning_rate": 0.0001846715328467153, + "loss": 0.6518, + "step": 612 + }, + { + "epoch": 1.3406232914160743, + "grad_norm": 0.06387577205896378, + "learning_rate": 0.0001844282238442822, + "loss": 0.6466, + "step": 613 + }, + { + "epoch": 1.3428102788408967, + "grad_norm": 0.07191019505262375, + "learning_rate": 0.0001841849148418491, + "loss": 0.5756, + "step": 614 + }, + { + "epoch": 1.344997266265719, + "grad_norm": 0.09899043291807175, + "learning_rate": 0.00018394160583941606, + "loss": 0.7892, + "step": 615 + }, + { + "epoch": 1.3471842536905414, + "grad_norm": 0.08435943722724915, + "learning_rate": 0.00018369829683698296, + "loss": 0.6412, + "step": 616 + }, + { + "epoch": 1.3493712411153636, + "grad_norm": 0.07262225449085236, + "learning_rate": 0.00018345498783454986, + "loss": 0.6966, + "step": 617 + }, + { + "epoch": 1.351558228540186, + "grad_norm": 0.08235189318656921, + "learning_rate": 0.00018321167883211678, + "loss": 0.7216, + "step": 618 + }, + { + "epoch": 1.353745215965008, + "grad_norm": 0.0813722088932991, + "learning_rate": 0.00018296836982968368, + "loss": 0.8315, + "step": 619 + }, + { + "epoch": 1.3559322033898304, + "grad_norm": 0.09782524406909943, + "learning_rate": 0.00018272506082725058, + "loss": 0.7819, + "step": 620 + }, + { + "epoch": 1.3581191908146528, + "grad_norm": 0.09162826836109161, + "learning_rate": 0.0001824817518248175, + "loss": 0.9302, + "step": 621 + }, + { + "epoch": 1.3603061782394752, + "grad_norm": 0.07550104707479477, + "learning_rate": 0.0001822384428223844, + "loss": 0.9166, + "step": 622 + }, + { + "epoch": 1.3624931656642976, + "grad_norm": 0.11838025599718094, + "learning_rate": 0.0001819951338199513, + "loss": 0.7731, + "step": 623 + }, + { + "epoch": 1.3646801530891197, + "grad_norm": 0.06856364011764526, + "learning_rate": 0.00018175182481751826, + "loss": 0.6568, + "step": 624 + }, + { + "epoch": 1.366867140513942, + "grad_norm": 0.07652675360441208, + "learning_rate": 0.00018150851581508515, + "loss": 0.5691, + "step": 625 + }, + { + "epoch": 1.3690541279387642, + "grad_norm": 0.08183195441961288, + "learning_rate": 0.00018126520681265205, + "loss": 0.7744, + "step": 626 + }, + { + "epoch": 1.3712411153635866, + "grad_norm": 0.1014147624373436, + "learning_rate": 0.00018102189781021898, + "loss": 0.5776, + "step": 627 + }, + { + "epoch": 1.373428102788409, + "grad_norm": 0.12121786177158356, + "learning_rate": 0.00018077858880778588, + "loss": 0.7527, + "step": 628 + }, + { + "epoch": 1.3756150902132314, + "grad_norm": 0.12575213611125946, + "learning_rate": 0.00018053527980535278, + "loss": 0.8383, + "step": 629 + }, + { + "epoch": 1.3778020776380535, + "grad_norm": 0.12126851826906204, + "learning_rate": 0.0001802919708029197, + "loss": 0.8059, + "step": 630 + }, + { + "epoch": 1.3799890650628759, + "grad_norm": 0.07763379067182541, + "learning_rate": 0.0001800486618004866, + "loss": 0.7794, + "step": 631 + }, + { + "epoch": 1.3821760524876983, + "grad_norm": 0.10322302579879761, + "learning_rate": 0.0001798053527980535, + "loss": 0.6721, + "step": 632 + }, + { + "epoch": 1.3843630399125204, + "grad_norm": 0.09009821712970734, + "learning_rate": 0.00017956204379562042, + "loss": 0.8274, + "step": 633 + }, + { + "epoch": 1.3865500273373428, + "grad_norm": 0.08545062690973282, + "learning_rate": 0.00017931873479318735, + "loss": 0.7233, + "step": 634 + }, + { + "epoch": 1.3887370147621652, + "grad_norm": 0.1566503345966339, + "learning_rate": 0.00017907542579075425, + "loss": 0.7043, + "step": 635 + }, + { + "epoch": 1.3909240021869875, + "grad_norm": 0.07147816568613052, + "learning_rate": 0.00017883211678832117, + "loss": 0.6894, + "step": 636 + }, + { + "epoch": 1.3931109896118097, + "grad_norm": 0.09538870304822922, + "learning_rate": 0.00017858880778588807, + "loss": 0.7002, + "step": 637 + }, + { + "epoch": 1.395297977036632, + "grad_norm": 0.07114128023386002, + "learning_rate": 0.00017834549878345497, + "loss": 1.098, + "step": 638 + }, + { + "epoch": 1.3974849644614544, + "grad_norm": 0.10688118636608124, + "learning_rate": 0.0001781021897810219, + "loss": 1.0278, + "step": 639 + }, + { + "epoch": 1.3996719518862766, + "grad_norm": 0.08323090523481369, + "learning_rate": 0.0001778588807785888, + "loss": 0.7042, + "step": 640 + }, + { + "epoch": 1.401858939311099, + "grad_norm": 0.08050341159105301, + "learning_rate": 0.0001776155717761557, + "loss": 0.6724, + "step": 641 + }, + { + "epoch": 1.4040459267359213, + "grad_norm": 0.06954475492238998, + "learning_rate": 0.00017737226277372262, + "loss": 0.6112, + "step": 642 + }, + { + "epoch": 1.4062329141607437, + "grad_norm": 0.07567767798900604, + "learning_rate": 0.00017712895377128952, + "loss": 0.6668, + "step": 643 + }, + { + "epoch": 1.4084199015855658, + "grad_norm": 0.08606792986392975, + "learning_rate": 0.00017688564476885641, + "loss": 0.9175, + "step": 644 + }, + { + "epoch": 1.4106068890103882, + "grad_norm": 0.08417530357837677, + "learning_rate": 0.00017664233576642334, + "loss": 0.8642, + "step": 645 + }, + { + "epoch": 1.4127938764352104, + "grad_norm": 0.0778554305434227, + "learning_rate": 0.00017639902676399026, + "loss": 0.7733, + "step": 646 + }, + { + "epoch": 1.4149808638600327, + "grad_norm": 0.09144212305545807, + "learning_rate": 0.00017615571776155716, + "loss": 0.6506, + "step": 647 + }, + { + "epoch": 1.4171678512848551, + "grad_norm": 0.07741324603557587, + "learning_rate": 0.00017591240875912406, + "loss": 0.711, + "step": 648 + }, + { + "epoch": 1.4193548387096775, + "grad_norm": 0.0829058289527893, + "learning_rate": 0.000175669099756691, + "loss": 0.7931, + "step": 649 + }, + { + "epoch": 1.4215418261344999, + "grad_norm": 0.06730297952890396, + "learning_rate": 0.00017542579075425789, + "loss": 0.5759, + "step": 650 + }, + { + "epoch": 1.423728813559322, + "grad_norm": 0.07532420009374619, + "learning_rate": 0.00017518248175182478, + "loss": 0.7703, + "step": 651 + }, + { + "epoch": 1.4259158009841444, + "grad_norm": 0.09180046617984772, + "learning_rate": 0.0001749391727493917, + "loss": 0.708, + "step": 652 + }, + { + "epoch": 1.4281027884089665, + "grad_norm": 0.05792313069105148, + "learning_rate": 0.0001746958637469586, + "loss": 0.7287, + "step": 653 + }, + { + "epoch": 1.430289775833789, + "grad_norm": 0.15353326499462128, + "learning_rate": 0.0001744525547445255, + "loss": 0.6932, + "step": 654 + }, + { + "epoch": 1.4324767632586113, + "grad_norm": 0.08484283834695816, + "learning_rate": 0.00017420924574209246, + "loss": 0.7384, + "step": 655 + }, + { + "epoch": 1.4346637506834337, + "grad_norm": 0.0774909183382988, + "learning_rate": 0.00017396593673965936, + "loss": 0.7354, + "step": 656 + }, + { + "epoch": 1.4368507381082558, + "grad_norm": 0.0809926837682724, + "learning_rate": 0.00017372262773722626, + "loss": 0.8466, + "step": 657 + }, + { + "epoch": 1.4390377255330782, + "grad_norm": 0.07795389741659164, + "learning_rate": 0.00017347931873479318, + "loss": 0.6922, + "step": 658 + }, + { + "epoch": 1.4412247129579006, + "grad_norm": 0.06992531567811966, + "learning_rate": 0.00017323600973236008, + "loss": 0.8562, + "step": 659 + }, + { + "epoch": 1.4434117003827227, + "grad_norm": 0.0662548765540123, + "learning_rate": 0.00017299270072992698, + "loss": 0.5713, + "step": 660 + }, + { + "epoch": 1.445598687807545, + "grad_norm": 0.08604443818330765, + "learning_rate": 0.0001727493917274939, + "loss": 0.9876, + "step": 661 + }, + { + "epoch": 1.4477856752323675, + "grad_norm": 0.1014929711818695, + "learning_rate": 0.0001725060827250608, + "loss": 0.7977, + "step": 662 + }, + { + "epoch": 1.4499726626571898, + "grad_norm": 0.10080523788928986, + "learning_rate": 0.0001722627737226277, + "loss": 0.8093, + "step": 663 + }, + { + "epoch": 1.452159650082012, + "grad_norm": 0.10428760945796967, + "learning_rate": 0.00017201946472019465, + "loss": 1.0382, + "step": 664 + }, + { + "epoch": 1.4543466375068343, + "grad_norm": 0.07888518273830414, + "learning_rate": 0.00017177615571776155, + "loss": 0.6886, + "step": 665 + }, + { + "epoch": 1.4565336249316567, + "grad_norm": 0.08672010898590088, + "learning_rate": 0.00017153284671532845, + "loss": 0.8506, + "step": 666 + }, + { + "epoch": 1.4587206123564789, + "grad_norm": 0.06759006530046463, + "learning_rate": 0.00017128953771289537, + "loss": 0.7057, + "step": 667 + }, + { + "epoch": 1.4609075997813012, + "grad_norm": 0.1034117117524147, + "learning_rate": 0.00017104622871046227, + "loss": 0.8461, + "step": 668 + }, + { + "epoch": 1.4630945872061236, + "grad_norm": 0.06765701621770859, + "learning_rate": 0.00017080291970802917, + "loss": 0.7589, + "step": 669 + }, + { + "epoch": 1.465281574630946, + "grad_norm": 0.07508763670921326, + "learning_rate": 0.0001705596107055961, + "loss": 0.686, + "step": 670 + }, + { + "epoch": 1.4674685620557681, + "grad_norm": 0.09179584681987762, + "learning_rate": 0.000170316301703163, + "loss": 0.7268, + "step": 671 + }, + { + "epoch": 1.4696555494805905, + "grad_norm": 0.06912723183631897, + "learning_rate": 0.0001700729927007299, + "loss": 0.661, + "step": 672 + }, + { + "epoch": 1.4718425369054127, + "grad_norm": 0.054803911596536636, + "learning_rate": 0.00016982968369829685, + "loss": 0.8164, + "step": 673 + }, + { + "epoch": 1.474029524330235, + "grad_norm": 0.08080896735191345, + "learning_rate": 0.00016958637469586374, + "loss": 0.8717, + "step": 674 + }, + { + "epoch": 1.4762165117550574, + "grad_norm": 0.09332842379808426, + "learning_rate": 0.00016934306569343064, + "loss": 0.8079, + "step": 675 + }, + { + "epoch": 1.4784034991798798, + "grad_norm": 0.078669473528862, + "learning_rate": 0.00016909975669099757, + "loss": 0.7285, + "step": 676 + }, + { + "epoch": 1.4805904866047022, + "grad_norm": 0.08398915082216263, + "learning_rate": 0.00016885644768856447, + "loss": 0.6822, + "step": 677 + }, + { + "epoch": 1.4827774740295243, + "grad_norm": 0.13044880330562592, + "learning_rate": 0.00016861313868613137, + "loss": 0.9113, + "step": 678 + }, + { + "epoch": 1.4849644614543467, + "grad_norm": 0.12240106612443924, + "learning_rate": 0.0001683698296836983, + "loss": 0.8425, + "step": 679 + }, + { + "epoch": 1.4871514488791688, + "grad_norm": 0.07183919847011566, + "learning_rate": 0.0001681265206812652, + "loss": 0.9105, + "step": 680 + }, + { + "epoch": 1.4893384363039912, + "grad_norm": 0.09940272569656372, + "learning_rate": 0.0001678832116788321, + "loss": 0.8304, + "step": 681 + }, + { + "epoch": 1.4915254237288136, + "grad_norm": 0.11190616339445114, + "learning_rate": 0.00016763990267639899, + "loss": 0.7788, + "step": 682 + }, + { + "epoch": 1.493712411153636, + "grad_norm": 0.16657543182373047, + "learning_rate": 0.00016739659367396594, + "loss": 0.687, + "step": 683 + }, + { + "epoch": 1.495899398578458, + "grad_norm": 0.07601901143789291, + "learning_rate": 0.00016715328467153284, + "loss": 0.8033, + "step": 684 + }, + { + "epoch": 1.4980863860032805, + "grad_norm": 0.10052871704101562, + "learning_rate": 0.00016690997566909974, + "loss": 0.7958, + "step": 685 + }, + { + "epoch": 1.5002733734281026, + "grad_norm": 0.08409029245376587, + "learning_rate": 0.00016666666666666666, + "loss": 0.7797, + "step": 686 + }, + { + "epoch": 1.502460360852925, + "grad_norm": 0.09768544882535934, + "learning_rate": 0.00016642335766423356, + "loss": 0.8538, + "step": 687 + }, + { + "epoch": 1.5046473482777474, + "grad_norm": 0.07004713267087936, + "learning_rate": 0.00016618004866180046, + "loss": 0.6068, + "step": 688 + }, + { + "epoch": 1.5068343357025697, + "grad_norm": 0.07685787975788116, + "learning_rate": 0.00016593673965936738, + "loss": 0.8492, + "step": 689 + }, + { + "epoch": 1.5090213231273921, + "grad_norm": 0.07615572214126587, + "learning_rate": 0.00016569343065693428, + "loss": 0.7485, + "step": 690 + }, + { + "epoch": 1.5112083105522143, + "grad_norm": 0.10699061304330826, + "learning_rate": 0.00016545012165450118, + "loss": 0.9676, + "step": 691 + }, + { + "epoch": 1.5133952979770366, + "grad_norm": 0.08651605248451233, + "learning_rate": 0.00016520681265206813, + "loss": 0.859, + "step": 692 + }, + { + "epoch": 1.5155822854018588, + "grad_norm": 0.08737276494503021, + "learning_rate": 0.00016496350364963503, + "loss": 0.7755, + "step": 693 + }, + { + "epoch": 1.5177692728266812, + "grad_norm": 0.07444070279598236, + "learning_rate": 0.00016472019464720193, + "loss": 0.6877, + "step": 694 + }, + { + "epoch": 1.5199562602515035, + "grad_norm": 0.07001710683107376, + "learning_rate": 0.00016447688564476886, + "loss": 0.579, + "step": 695 + }, + { + "epoch": 1.522143247676326, + "grad_norm": 0.10528858751058578, + "learning_rate": 0.00016423357664233575, + "loss": 0.7624, + "step": 696 + }, + { + "epoch": 1.5243302351011483, + "grad_norm": 0.08109764009714127, + "learning_rate": 0.00016399026763990265, + "loss": 0.6853, + "step": 697 + }, + { + "epoch": 1.5265172225259704, + "grad_norm": 0.07707608491182327, + "learning_rate": 0.00016374695863746958, + "loss": 0.8375, + "step": 698 + }, + { + "epoch": 1.5287042099507928, + "grad_norm": 0.08103753626346588, + "learning_rate": 0.00016350364963503648, + "loss": 0.6908, + "step": 699 + }, + { + "epoch": 1.530891197375615, + "grad_norm": 0.07372231781482697, + "learning_rate": 0.00016326034063260337, + "loss": 0.6903, + "step": 700 + }, + { + "epoch": 1.5330781848004373, + "grad_norm": 0.08289898931980133, + "learning_rate": 0.00016301703163017033, + "loss": 0.7086, + "step": 701 + }, + { + "epoch": 1.5352651722252597, + "grad_norm": 0.08224494010210037, + "learning_rate": 0.00016277372262773723, + "loss": 0.7606, + "step": 702 + }, + { + "epoch": 1.537452159650082, + "grad_norm": 0.08382044732570648, + "learning_rate": 0.00016253041362530412, + "loss": 0.7054, + "step": 703 + }, + { + "epoch": 1.5396391470749045, + "grad_norm": 0.07862155884504318, + "learning_rate": 0.00016228710462287105, + "loss": 0.8786, + "step": 704 + }, + { + "epoch": 1.5418261344997266, + "grad_norm": 0.10387637466192245, + "learning_rate": 0.00016204379562043795, + "loss": 0.8504, + "step": 705 + }, + { + "epoch": 1.544013121924549, + "grad_norm": 0.1658472865819931, + "learning_rate": 0.00016180048661800485, + "loss": 0.8581, + "step": 706 + }, + { + "epoch": 1.5462001093493711, + "grad_norm": 0.07613140344619751, + "learning_rate": 0.00016155717761557177, + "loss": 0.9568, + "step": 707 + }, + { + "epoch": 1.5483870967741935, + "grad_norm": 0.09240083396434784, + "learning_rate": 0.00016131386861313867, + "loss": 0.7613, + "step": 708 + }, + { + "epoch": 1.5505740841990159, + "grad_norm": 0.08002081513404846, + "learning_rate": 0.00016107055961070557, + "loss": 0.906, + "step": 709 + }, + { + "epoch": 1.5527610716238383, + "grad_norm": 0.10927675664424896, + "learning_rate": 0.0001608272506082725, + "loss": 0.8646, + "step": 710 + }, + { + "epoch": 1.5549480590486606, + "grad_norm": 0.08232871443033218, + "learning_rate": 0.00016058394160583942, + "loss": 0.7137, + "step": 711 + }, + { + "epoch": 1.5571350464734828, + "grad_norm": 0.08853455632925034, + "learning_rate": 0.00016034063260340632, + "loss": 0.8801, + "step": 712 + }, + { + "epoch": 1.559322033898305, + "grad_norm": 0.08115136623382568, + "learning_rate": 0.00016009732360097324, + "loss": 1.0237, + "step": 713 + }, + { + "epoch": 1.5615090213231273, + "grad_norm": 0.09692612290382385, + "learning_rate": 0.00015985401459854014, + "loss": 0.6701, + "step": 714 + }, + { + "epoch": 1.5636960087479497, + "grad_norm": 0.07035140693187714, + "learning_rate": 0.00015961070559610704, + "loss": 0.7572, + "step": 715 + }, + { + "epoch": 1.565882996172772, + "grad_norm": 0.060013994574546814, + "learning_rate": 0.00015936739659367397, + "loss": 0.6384, + "step": 716 + }, + { + "epoch": 1.5680699835975944, + "grad_norm": 0.09545444697141647, + "learning_rate": 0.00015912408759124086, + "loss": 0.8634, + "step": 717 + }, + { + "epoch": 1.5702569710224166, + "grad_norm": 0.07447884231805801, + "learning_rate": 0.00015888077858880776, + "loss": 0.8432, + "step": 718 + }, + { + "epoch": 1.572443958447239, + "grad_norm": 0.07856442034244537, + "learning_rate": 0.00015863746958637466, + "loss": 0.6997, + "step": 719 + }, + { + "epoch": 1.574630945872061, + "grad_norm": 0.06427665799856186, + "learning_rate": 0.00015839416058394159, + "loss": 0.5929, + "step": 720 + }, + { + "epoch": 1.5768179332968835, + "grad_norm": 0.16680657863616943, + "learning_rate": 0.00015815085158150848, + "loss": 0.8076, + "step": 721 + }, + { + "epoch": 1.5790049207217058, + "grad_norm": 0.12649452686309814, + "learning_rate": 0.0001579075425790754, + "loss": 0.7214, + "step": 722 + }, + { + "epoch": 1.5811919081465282, + "grad_norm": 0.07273788750171661, + "learning_rate": 0.00015766423357664234, + "loss": 0.7563, + "step": 723 + }, + { + "epoch": 1.5833788955713506, + "grad_norm": 0.07200025022029877, + "learning_rate": 0.00015742092457420923, + "loss": 0.5049, + "step": 724 + }, + { + "epoch": 1.5855658829961727, + "grad_norm": 0.09136539697647095, + "learning_rate": 0.00015717761557177613, + "loss": 0.7398, + "step": 725 + }, + { + "epoch": 1.587752870420995, + "grad_norm": 0.07101961970329285, + "learning_rate": 0.00015693430656934306, + "loss": 0.7343, + "step": 726 + }, + { + "epoch": 1.5899398578458173, + "grad_norm": 0.08236649632453918, + "learning_rate": 0.00015669099756690996, + "loss": 0.7643, + "step": 727 + }, + { + "epoch": 1.5921268452706396, + "grad_norm": 0.07651374489068985, + "learning_rate": 0.00015644768856447685, + "loss": 0.6979, + "step": 728 + }, + { + "epoch": 1.594313832695462, + "grad_norm": 0.06972052156925201, + "learning_rate": 0.00015620437956204378, + "loss": 0.7717, + "step": 729 + }, + { + "epoch": 1.5965008201202844, + "grad_norm": 0.10157284140586853, + "learning_rate": 0.00015596107055961068, + "loss": 1.018, + "step": 730 + }, + { + "epoch": 1.5986878075451068, + "grad_norm": 0.0886068344116211, + "learning_rate": 0.00015571776155717758, + "loss": 0.7248, + "step": 731 + }, + { + "epoch": 1.600874794969929, + "grad_norm": 0.13079851865768433, + "learning_rate": 0.00015547445255474453, + "loss": 0.9074, + "step": 732 + }, + { + "epoch": 1.6030617823947513, + "grad_norm": 0.11370299756526947, + "learning_rate": 0.00015523114355231143, + "loss": 0.748, + "step": 733 + }, + { + "epoch": 1.6052487698195734, + "grad_norm": 0.06792464852333069, + "learning_rate": 0.00015498783454987833, + "loss": 0.7086, + "step": 734 + }, + { + "epoch": 1.6074357572443958, + "grad_norm": 0.07068143784999847, + "learning_rate": 0.00015474452554744525, + "loss": 0.778, + "step": 735 + }, + { + "epoch": 1.6096227446692182, + "grad_norm": 0.07730552554130554, + "learning_rate": 0.00015450121654501215, + "loss": 0.746, + "step": 736 + }, + { + "epoch": 1.6118097320940405, + "grad_norm": 0.12805640697479248, + "learning_rate": 0.00015425790754257905, + "loss": 0.7623, + "step": 737 + }, + { + "epoch": 1.613996719518863, + "grad_norm": 0.08493634313344955, + "learning_rate": 0.00015401459854014597, + "loss": 0.9779, + "step": 738 + }, + { + "epoch": 1.616183706943685, + "grad_norm": 0.05817659944295883, + "learning_rate": 0.00015377128953771287, + "loss": 0.6367, + "step": 739 + }, + { + "epoch": 1.6183706943685072, + "grad_norm": 0.09221541881561279, + "learning_rate": 0.00015352798053527977, + "loss": 0.8835, + "step": 740 + }, + { + "epoch": 1.6205576817933296, + "grad_norm": 0.0787593275308609, + "learning_rate": 0.00015328467153284672, + "loss": 0.7536, + "step": 741 + }, + { + "epoch": 1.622744669218152, + "grad_norm": 0.0870475247502327, + "learning_rate": 0.00015304136253041362, + "loss": 0.7381, + "step": 742 + }, + { + "epoch": 1.6249316566429743, + "grad_norm": 0.07483994960784912, + "learning_rate": 0.00015279805352798052, + "loss": 0.66, + "step": 743 + }, + { + "epoch": 1.6271186440677967, + "grad_norm": 0.11263025552034378, + "learning_rate": 0.00015255474452554745, + "loss": 0.8136, + "step": 744 + }, + { + "epoch": 1.6293056314926189, + "grad_norm": 0.07467806339263916, + "learning_rate": 0.00015231143552311434, + "loss": 0.7517, + "step": 745 + }, + { + "epoch": 1.6314926189174412, + "grad_norm": 0.07032795250415802, + "learning_rate": 0.00015206812652068124, + "loss": 0.799, + "step": 746 + }, + { + "epoch": 1.6336796063422634, + "grad_norm": 0.09223369508981705, + "learning_rate": 0.00015182481751824817, + "loss": 0.629, + "step": 747 + }, + { + "epoch": 1.6358665937670858, + "grad_norm": 0.09270980209112167, + "learning_rate": 0.00015158150851581507, + "loss": 0.6994, + "step": 748 + }, + { + "epoch": 1.6380535811919081, + "grad_norm": 0.09000423550605774, + "learning_rate": 0.00015133819951338196, + "loss": 0.8783, + "step": 749 + }, + { + "epoch": 1.6402405686167305, + "grad_norm": 0.07360047101974487, + "learning_rate": 0.00015109489051094892, + "loss": 0.6656, + "step": 750 + }, + { + "epoch": 1.6424275560415529, + "grad_norm": 0.08283261954784393, + "learning_rate": 0.00015085158150851582, + "loss": 0.5449, + "step": 751 + }, + { + "epoch": 1.644614543466375, + "grad_norm": 0.08265390992164612, + "learning_rate": 0.00015060827250608271, + "loss": 0.7588, + "step": 752 + }, + { + "epoch": 1.6468015308911974, + "grad_norm": 0.08791100233793259, + "learning_rate": 0.00015036496350364964, + "loss": 0.7755, + "step": 753 + }, + { + "epoch": 1.6489885183160196, + "grad_norm": 0.07572682201862335, + "learning_rate": 0.00015012165450121654, + "loss": 0.8894, + "step": 754 + }, + { + "epoch": 1.651175505740842, + "grad_norm": 0.07945867627859116, + "learning_rate": 0.00014987834549878344, + "loss": 0.5809, + "step": 755 + }, + { + "epoch": 1.6533624931656643, + "grad_norm": 0.08983266353607178, + "learning_rate": 0.00014963503649635036, + "loss": 0.7448, + "step": 756 + }, + { + "epoch": 1.6555494805904867, + "grad_norm": 0.08808134496212006, + "learning_rate": 0.00014939172749391726, + "loss": 0.9939, + "step": 757 + }, + { + "epoch": 1.657736468015309, + "grad_norm": 0.062047384679317474, + "learning_rate": 0.00014914841849148416, + "loss": 0.6778, + "step": 758 + }, + { + "epoch": 1.6599234554401312, + "grad_norm": 0.07584248483181, + "learning_rate": 0.00014890510948905108, + "loss": 0.7678, + "step": 759 + }, + { + "epoch": 1.6621104428649536, + "grad_norm": 0.0773271694779396, + "learning_rate": 0.000148661800486618, + "loss": 0.7566, + "step": 760 + }, + { + "epoch": 1.6642974302897757, + "grad_norm": 0.08273308724164963, + "learning_rate": 0.0001484184914841849, + "loss": 0.8683, + "step": 761 + }, + { + "epoch": 1.666484417714598, + "grad_norm": 0.08042038977146149, + "learning_rate": 0.0001481751824817518, + "loss": 0.6542, + "step": 762 + }, + { + "epoch": 1.6686714051394205, + "grad_norm": 0.06283559650182724, + "learning_rate": 0.00014793187347931873, + "loss": 0.6542, + "step": 763 + }, + { + "epoch": 1.6708583925642428, + "grad_norm": 0.06289813667535782, + "learning_rate": 0.00014768856447688563, + "loss": 0.8519, + "step": 764 + }, + { + "epoch": 1.6730453799890652, + "grad_norm": 0.1853972226381302, + "learning_rate": 0.00014744525547445256, + "loss": 0.9903, + "step": 765 + }, + { + "epoch": 1.6752323674138874, + "grad_norm": 0.0944383293390274, + "learning_rate": 0.00014720194647201945, + "loss": 0.6515, + "step": 766 + }, + { + "epoch": 1.6774193548387095, + "grad_norm": 0.11057789623737335, + "learning_rate": 0.00014695863746958635, + "loss": 0.8864, + "step": 767 + }, + { + "epoch": 1.679606342263532, + "grad_norm": 0.06963308900594711, + "learning_rate": 0.00014671532846715328, + "loss": 0.7007, + "step": 768 + }, + { + "epoch": 1.6817933296883543, + "grad_norm": 0.09356000274419785, + "learning_rate": 0.00014647201946472018, + "loss": 0.8184, + "step": 769 + }, + { + "epoch": 1.6839803171131766, + "grad_norm": 0.11048714816570282, + "learning_rate": 0.0001462287104622871, + "loss": 0.8617, + "step": 770 + }, + { + "epoch": 1.686167304537999, + "grad_norm": 0.07788331806659698, + "learning_rate": 0.000145985401459854, + "loss": 0.7342, + "step": 771 + }, + { + "epoch": 1.6883542919628212, + "grad_norm": 0.07118044048547745, + "learning_rate": 0.0001457420924574209, + "loss": 0.6408, + "step": 772 + }, + { + "epoch": 1.6905412793876435, + "grad_norm": 0.06452781707048416, + "learning_rate": 0.00014549878345498782, + "loss": 0.7572, + "step": 773 + }, + { + "epoch": 1.6927282668124657, + "grad_norm": 0.09639155864715576, + "learning_rate": 0.00014525547445255475, + "loss": 0.8385, + "step": 774 + }, + { + "epoch": 1.694915254237288, + "grad_norm": 0.1071082279086113, + "learning_rate": 0.00014501216545012165, + "loss": 0.7753, + "step": 775 + }, + { + "epoch": 1.6971022416621104, + "grad_norm": 0.07278653979301453, + "learning_rate": 0.00014476885644768855, + "loss": 0.8029, + "step": 776 + }, + { + "epoch": 1.6992892290869328, + "grad_norm": 0.09195150434970856, + "learning_rate": 0.00014452554744525547, + "loss": 0.8651, + "step": 777 + }, + { + "epoch": 1.7014762165117552, + "grad_norm": 0.06900887191295624, + "learning_rate": 0.00014428223844282237, + "loss": 0.6055, + "step": 778 + }, + { + "epoch": 1.7036632039365773, + "grad_norm": 0.07404650747776031, + "learning_rate": 0.0001440389294403893, + "loss": 0.6743, + "step": 779 + }, + { + "epoch": 1.7058501913613997, + "grad_norm": 0.10989930480718613, + "learning_rate": 0.0001437956204379562, + "loss": 0.7646, + "step": 780 + }, + { + "epoch": 1.7080371787862219, + "grad_norm": 0.1094970628619194, + "learning_rate": 0.0001435523114355231, + "loss": 0.5882, + "step": 781 + }, + { + "epoch": 1.7102241662110442, + "grad_norm": 0.09520953893661499, + "learning_rate": 0.00014330900243309002, + "loss": 0.8461, + "step": 782 + }, + { + "epoch": 1.7124111536358666, + "grad_norm": 0.1182040125131607, + "learning_rate": 0.00014306569343065692, + "loss": 0.6665, + "step": 783 + }, + { + "epoch": 1.714598141060689, + "grad_norm": 0.07663030922412872, + "learning_rate": 0.00014282238442822384, + "loss": 0.8546, + "step": 784 + }, + { + "epoch": 1.7167851284855113, + "grad_norm": 0.10378001630306244, + "learning_rate": 0.00014257907542579074, + "loss": 0.907, + "step": 785 + }, + { + "epoch": 1.7189721159103335, + "grad_norm": 0.07166948169469833, + "learning_rate": 0.00014233576642335764, + "loss": 0.6336, + "step": 786 + }, + { + "epoch": 1.7211591033351559, + "grad_norm": 0.062343548983335495, + "learning_rate": 0.00014209245742092456, + "loss": 0.5562, + "step": 787 + }, + { + "epoch": 1.723346090759978, + "grad_norm": 0.07638544589281082, + "learning_rate": 0.0001418491484184915, + "loss": 0.6598, + "step": 788 + }, + { + "epoch": 1.7255330781848004, + "grad_norm": 0.11704985797405243, + "learning_rate": 0.0001416058394160584, + "loss": 0.6799, + "step": 789 + }, + { + "epoch": 1.7277200656096228, + "grad_norm": 0.08330632746219635, + "learning_rate": 0.00014136253041362529, + "loss": 0.7877, + "step": 790 + }, + { + "epoch": 1.7299070530344451, + "grad_norm": 0.09401868283748627, + "learning_rate": 0.0001411192214111922, + "loss": 0.8323, + "step": 791 + }, + { + "epoch": 1.7320940404592675, + "grad_norm": 0.07466096431016922, + "learning_rate": 0.0001408759124087591, + "loss": 0.7063, + "step": 792 + }, + { + "epoch": 1.7342810278840897, + "grad_norm": 0.09403601288795471, + "learning_rate": 0.000140632603406326, + "loss": 0.8026, + "step": 793 + }, + { + "epoch": 1.7364680153089118, + "grad_norm": 0.05684835463762283, + "learning_rate": 0.00014038929440389293, + "loss": 0.6817, + "step": 794 + }, + { + "epoch": 1.7386550027337342, + "grad_norm": 0.0911942645907402, + "learning_rate": 0.00014014598540145983, + "loss": 0.6544, + "step": 795 + }, + { + "epoch": 1.7408419901585566, + "grad_norm": 0.10098642110824585, + "learning_rate": 0.00013990267639902676, + "loss": 0.8028, + "step": 796 + }, + { + "epoch": 1.743028977583379, + "grad_norm": 0.07790366560220718, + "learning_rate": 0.00013965936739659366, + "loss": 0.6965, + "step": 797 + }, + { + "epoch": 1.7452159650082013, + "grad_norm": 0.10633616894483566, + "learning_rate": 0.00013941605839416055, + "loss": 0.6637, + "step": 798 + }, + { + "epoch": 1.7474029524330235, + "grad_norm": 0.09335478395223618, + "learning_rate": 0.00013917274939172748, + "loss": 0.7656, + "step": 799 + }, + { + "epoch": 1.7495899398578458, + "grad_norm": 0.10201484709978104, + "learning_rate": 0.0001389294403892944, + "loss": 0.7226, + "step": 800 + }, + { + "epoch": 1.751776927282668, + "grad_norm": 0.07911434769630432, + "learning_rate": 0.0001386861313868613, + "loss": 0.6403, + "step": 801 + }, + { + "epoch": 1.7539639147074904, + "grad_norm": 0.07075470685958862, + "learning_rate": 0.0001384428223844282, + "loss": 0.6783, + "step": 802 + }, + { + "epoch": 1.7561509021323127, + "grad_norm": 0.08229600638151169, + "learning_rate": 0.0001381995133819951, + "loss": 0.8585, + "step": 803 + }, + { + "epoch": 1.758337889557135, + "grad_norm": 0.09657498449087143, + "learning_rate": 0.00013795620437956203, + "loss": 0.9672, + "step": 804 + }, + { + "epoch": 1.7605248769819575, + "grad_norm": 0.07089411467313766, + "learning_rate": 0.00013771289537712895, + "loss": 0.7484, + "step": 805 + }, + { + "epoch": 1.7627118644067796, + "grad_norm": 0.10124209523200989, + "learning_rate": 0.00013746958637469585, + "loss": 0.8899, + "step": 806 + }, + { + "epoch": 1.764898851831602, + "grad_norm": 0.07291366159915924, + "learning_rate": 0.00013722627737226275, + "loss": 0.8407, + "step": 807 + }, + { + "epoch": 1.7670858392564242, + "grad_norm": 0.07772895693778992, + "learning_rate": 0.00013698296836982967, + "loss": 0.7199, + "step": 808 + }, + { + "epoch": 1.7692728266812465, + "grad_norm": 0.07923844456672668, + "learning_rate": 0.00013673965936739657, + "loss": 0.7674, + "step": 809 + }, + { + "epoch": 1.771459814106069, + "grad_norm": 0.08027761429548264, + "learning_rate": 0.0001364963503649635, + "loss": 0.8017, + "step": 810 + }, + { + "epoch": 1.7736468015308913, + "grad_norm": 0.09798185527324677, + "learning_rate": 0.0001362530413625304, + "loss": 0.672, + "step": 811 + }, + { + "epoch": 1.7758337889557136, + "grad_norm": 0.08586899191141129, + "learning_rate": 0.0001360097323600973, + "loss": 0.7303, + "step": 812 + }, + { + "epoch": 1.7780207763805358, + "grad_norm": 0.17886094748973846, + "learning_rate": 0.00013576642335766422, + "loss": 0.9332, + "step": 813 + }, + { + "epoch": 1.7802077638053582, + "grad_norm": 0.08009211719036102, + "learning_rate": 0.00013552311435523115, + "loss": 0.7214, + "step": 814 + }, + { + "epoch": 1.7823947512301803, + "grad_norm": 0.09593360871076584, + "learning_rate": 0.00013527980535279804, + "loss": 0.7673, + "step": 815 + }, + { + "epoch": 1.7845817386550027, + "grad_norm": 0.10229601711034775, + "learning_rate": 0.00013503649635036494, + "loss": 0.6739, + "step": 816 + }, + { + "epoch": 1.786768726079825, + "grad_norm": 0.06139611452817917, + "learning_rate": 0.00013479318734793187, + "loss": 0.6926, + "step": 817 + }, + { + "epoch": 1.7889557135046474, + "grad_norm": 0.09203626960515976, + "learning_rate": 0.00013454987834549877, + "loss": 0.8194, + "step": 818 + }, + { + "epoch": 1.7911427009294698, + "grad_norm": 0.07076459378004074, + "learning_rate": 0.0001343065693430657, + "loss": 0.7102, + "step": 819 + }, + { + "epoch": 1.793329688354292, + "grad_norm": 0.07797713577747345, + "learning_rate": 0.0001340632603406326, + "loss": 0.6698, + "step": 820 + }, + { + "epoch": 1.7955166757791141, + "grad_norm": 0.07862114161252975, + "learning_rate": 0.0001338199513381995, + "loss": 1.0258, + "step": 821 + }, + { + "epoch": 1.7977036632039365, + "grad_norm": 0.0915682315826416, + "learning_rate": 0.00013357664233576641, + "loss": 0.5764, + "step": 822 + }, + { + "epoch": 1.7998906506287589, + "grad_norm": 0.0956999659538269, + "learning_rate": 0.0001333333333333333, + "loss": 0.7257, + "step": 823 + }, + { + "epoch": 1.8020776380535812, + "grad_norm": 0.0906728059053421, + "learning_rate": 0.00013309002433090024, + "loss": 0.8744, + "step": 824 + }, + { + "epoch": 1.8042646254784036, + "grad_norm": 0.08412934839725494, + "learning_rate": 0.00013284671532846714, + "loss": 0.8918, + "step": 825 + }, + { + "epoch": 1.8064516129032258, + "grad_norm": 0.08373713493347168, + "learning_rate": 0.00013260340632603403, + "loss": 0.9069, + "step": 826 + }, + { + "epoch": 1.8086386003280481, + "grad_norm": 0.06849157065153122, + "learning_rate": 0.00013236009732360096, + "loss": 0.7607, + "step": 827 + }, + { + "epoch": 1.8108255877528703, + "grad_norm": 0.09182678163051605, + "learning_rate": 0.00013211678832116789, + "loss": 0.6426, + "step": 828 + }, + { + "epoch": 1.8130125751776927, + "grad_norm": 0.0952245369553566, + "learning_rate": 0.00013187347931873478, + "loss": 0.872, + "step": 829 + }, + { + "epoch": 1.815199562602515, + "grad_norm": 0.07557933777570724, + "learning_rate": 0.00013163017031630168, + "loss": 0.7601, + "step": 830 + }, + { + "epoch": 1.8173865500273374, + "grad_norm": 0.08952690660953522, + "learning_rate": 0.0001313868613138686, + "loss": 0.7858, + "step": 831 + }, + { + "epoch": 1.8195735374521598, + "grad_norm": 0.11855470389127731, + "learning_rate": 0.0001311435523114355, + "loss": 1.038, + "step": 832 + }, + { + "epoch": 1.821760524876982, + "grad_norm": 0.0895775705575943, + "learning_rate": 0.00013090024330900243, + "loss": 0.889, + "step": 833 + }, + { + "epoch": 1.8239475123018043, + "grad_norm": 0.07917778939008713, + "learning_rate": 0.00013065693430656933, + "loss": 0.7648, + "step": 834 + }, + { + "epoch": 1.8261344997266264, + "grad_norm": 0.07861921936273575, + "learning_rate": 0.00013041362530413623, + "loss": 0.7622, + "step": 835 + }, + { + "epoch": 1.8283214871514488, + "grad_norm": 0.06720324605703354, + "learning_rate": 0.00013017031630170315, + "loss": 0.65, + "step": 836 + }, + { + "epoch": 1.8305084745762712, + "grad_norm": 0.08524219691753387, + "learning_rate": 0.00012992700729927008, + "loss": 0.7075, + "step": 837 + }, + { + "epoch": 1.8326954620010936, + "grad_norm": 0.08446149528026581, + "learning_rate": 0.00012968369829683698, + "loss": 0.8675, + "step": 838 + }, + { + "epoch": 1.834882449425916, + "grad_norm": 0.1418158859014511, + "learning_rate": 0.00012944038929440388, + "loss": 0.8001, + "step": 839 + }, + { + "epoch": 1.837069436850738, + "grad_norm": 0.08565046638250351, + "learning_rate": 0.00012919708029197077, + "loss": 0.7472, + "step": 840 + }, + { + "epoch": 1.8392564242755605, + "grad_norm": 0.08195502310991287, + "learning_rate": 0.0001289537712895377, + "loss": 0.7482, + "step": 841 + }, + { + "epoch": 1.8414434117003826, + "grad_norm": 0.09442506730556488, + "learning_rate": 0.00012871046228710463, + "loss": 0.6339, + "step": 842 + }, + { + "epoch": 1.843630399125205, + "grad_norm": 0.0740717202425003, + "learning_rate": 0.00012846715328467152, + "loss": 0.8089, + "step": 843 + }, + { + "epoch": 1.8458173865500274, + "grad_norm": 0.07222722470760345, + "learning_rate": 0.00012822384428223842, + "loss": 0.5632, + "step": 844 + }, + { + "epoch": 1.8480043739748497, + "grad_norm": 0.17833271622657776, + "learning_rate": 0.00012798053527980535, + "loss": 0.9255, + "step": 845 + }, + { + "epoch": 1.850191361399672, + "grad_norm": 0.06516478210687637, + "learning_rate": 0.00012773722627737225, + "loss": 0.7359, + "step": 846 + }, + { + "epoch": 1.8523783488244943, + "grad_norm": 0.08852701634168625, + "learning_rate": 0.00012749391727493917, + "loss": 0.5396, + "step": 847 + }, + { + "epoch": 1.8545653362493164, + "grad_norm": 0.1138986274600029, + "learning_rate": 0.00012725060827250607, + "loss": 0.6388, + "step": 848 + }, + { + "epoch": 1.8567523236741388, + "grad_norm": 0.0741475448012352, + "learning_rate": 0.00012700729927007297, + "loss": 0.714, + "step": 849 + }, + { + "epoch": 1.8589393110989612, + "grad_norm": 0.07791007310152054, + "learning_rate": 0.0001267639902676399, + "loss": 0.6801, + "step": 850 + }, + { + "epoch": 1.8611262985237835, + "grad_norm": 0.12624414265155792, + "learning_rate": 0.00012652068126520682, + "loss": 0.8722, + "step": 851 + }, + { + "epoch": 1.863313285948606, + "grad_norm": 0.12994566559791565, + "learning_rate": 0.00012627737226277372, + "loss": 0.7748, + "step": 852 + }, + { + "epoch": 1.865500273373428, + "grad_norm": 0.08921322226524353, + "learning_rate": 0.00012603406326034062, + "loss": 0.9291, + "step": 853 + }, + { + "epoch": 1.8676872607982504, + "grad_norm": 0.18718288838863373, + "learning_rate": 0.00012579075425790754, + "loss": 0.8058, + "step": 854 + }, + { + "epoch": 1.8698742482230726, + "grad_norm": 0.0999041497707367, + "learning_rate": 0.00012554744525547444, + "loss": 0.7418, + "step": 855 + }, + { + "epoch": 1.872061235647895, + "grad_norm": 0.0861956775188446, + "learning_rate": 0.00012530413625304137, + "loss": 0.8489, + "step": 856 + }, + { + "epoch": 1.8742482230727173, + "grad_norm": 0.08363097161054611, + "learning_rate": 0.00012506082725060826, + "loss": 0.792, + "step": 857 + }, + { + "epoch": 1.8764352104975397, + "grad_norm": 0.104526586830616, + "learning_rate": 0.00012481751824817516, + "loss": 0.7314, + "step": 858 + }, + { + "epoch": 1.878622197922362, + "grad_norm": 0.06434841454029083, + "learning_rate": 0.0001245742092457421, + "loss": 0.7093, + "step": 859 + }, + { + "epoch": 1.8808091853471842, + "grad_norm": 0.09034306555986404, + "learning_rate": 0.000124330900243309, + "loss": 0.853, + "step": 860 + }, + { + "epoch": 1.8829961727720066, + "grad_norm": 0.09923963248729706, + "learning_rate": 0.0001240875912408759, + "loss": 0.9577, + "step": 861 + }, + { + "epoch": 1.8851831601968287, + "grad_norm": 0.1608513742685318, + "learning_rate": 0.0001238442822384428, + "loss": 0.8481, + "step": 862 + }, + { + "epoch": 1.8873701476216511, + "grad_norm": 0.09407520294189453, + "learning_rate": 0.0001236009732360097, + "loss": 0.8248, + "step": 863 + }, + { + "epoch": 1.8895571350464735, + "grad_norm": 0.10071087628602982, + "learning_rate": 0.00012335766423357663, + "loss": 0.7396, + "step": 864 + }, + { + "epoch": 1.8917441224712959, + "grad_norm": 0.09731297940015793, + "learning_rate": 0.00012311435523114356, + "loss": 0.8576, + "step": 865 + }, + { + "epoch": 1.8939311098961182, + "grad_norm": 0.10314417630434036, + "learning_rate": 0.00012287104622871046, + "loss": 0.7557, + "step": 866 + }, + { + "epoch": 1.8961180973209404, + "grad_norm": 0.08073554188013077, + "learning_rate": 0.00012262773722627736, + "loss": 0.6774, + "step": 867 + }, + { + "epoch": 1.8983050847457628, + "grad_norm": 0.07901646196842194, + "learning_rate": 0.00012238442822384428, + "loss": 0.8002, + "step": 868 + }, + { + "epoch": 1.900492072170585, + "grad_norm": 0.09489645808935165, + "learning_rate": 0.00012214111922141118, + "loss": 0.6187, + "step": 869 + }, + { + "epoch": 1.9026790595954073, + "grad_norm": 0.07445085793733597, + "learning_rate": 0.00012189781021897809, + "loss": 0.8429, + "step": 870 + }, + { + "epoch": 1.9048660470202297, + "grad_norm": 0.08723869919776917, + "learning_rate": 0.000121654501216545, + "loss": 0.6661, + "step": 871 + }, + { + "epoch": 1.907053034445052, + "grad_norm": 0.0714929848909378, + "learning_rate": 0.0001214111922141119, + "loss": 0.7081, + "step": 872 + }, + { + "epoch": 1.9092400218698744, + "grad_norm": 0.11925212293863297, + "learning_rate": 0.00012116788321167883, + "loss": 0.8205, + "step": 873 + }, + { + "epoch": 1.9114270092946966, + "grad_norm": 0.07906994223594666, + "learning_rate": 0.00012092457420924574, + "loss": 0.7375, + "step": 874 + }, + { + "epoch": 1.9136139967195187, + "grad_norm": 0.0823206901550293, + "learning_rate": 0.00012068126520681264, + "loss": 0.7026, + "step": 875 + }, + { + "epoch": 1.915800984144341, + "grad_norm": 0.08779305219650269, + "learning_rate": 0.00012043795620437955, + "loss": 0.8375, + "step": 876 + }, + { + "epoch": 1.9179879715691635, + "grad_norm": 0.1307205706834793, + "learning_rate": 0.00012019464720194645, + "loss": 0.7958, + "step": 877 + }, + { + "epoch": 1.9201749589939858, + "grad_norm": 0.07860773056745529, + "learning_rate": 0.00011995133819951337, + "loss": 0.6665, + "step": 878 + }, + { + "epoch": 1.9223619464188082, + "grad_norm": 0.09018970280885696, + "learning_rate": 0.00011970802919708029, + "loss": 0.7832, + "step": 879 + }, + { + "epoch": 1.9245489338436303, + "grad_norm": 0.10476412624120712, + "learning_rate": 0.00011946472019464718, + "loss": 0.8405, + "step": 880 + }, + { + "epoch": 1.9267359212684527, + "grad_norm": 0.136556014418602, + "learning_rate": 0.0001192214111922141, + "loss": 0.9055, + "step": 881 + }, + { + "epoch": 1.9289229086932749, + "grad_norm": 0.07547001540660858, + "learning_rate": 0.00011897810218978102, + "loss": 0.8403, + "step": 882 + }, + { + "epoch": 1.9311098961180972, + "grad_norm": 0.07191377878189087, + "learning_rate": 0.00011873479318734792, + "loss": 0.7417, + "step": 883 + }, + { + "epoch": 1.9332968835429196, + "grad_norm": 0.10206939280033112, + "learning_rate": 0.00011849148418491483, + "loss": 0.8236, + "step": 884 + }, + { + "epoch": 1.935483870967742, + "grad_norm": 0.10091017931699753, + "learning_rate": 0.00011824817518248174, + "loss": 0.8222, + "step": 885 + }, + { + "epoch": 1.9376708583925644, + "grad_norm": 0.078538678586483, + "learning_rate": 0.00011800486618004864, + "loss": 0.7433, + "step": 886 + }, + { + "epoch": 1.9398578458173865, + "grad_norm": 0.08979906141757965, + "learning_rate": 0.00011776155717761557, + "loss": 0.7901, + "step": 887 + }, + { + "epoch": 1.942044833242209, + "grad_norm": 0.11861593276262283, + "learning_rate": 0.00011751824817518248, + "loss": 0.7626, + "step": 888 + }, + { + "epoch": 1.944231820667031, + "grad_norm": 0.08933200687170029, + "learning_rate": 0.00011727493917274938, + "loss": 0.7166, + "step": 889 + }, + { + "epoch": 1.9464188080918534, + "grad_norm": 0.07634332776069641, + "learning_rate": 0.00011703163017031629, + "loss": 0.674, + "step": 890 + }, + { + "epoch": 1.9486057955166758, + "grad_norm": 0.08827237784862518, + "learning_rate": 0.0001167883211678832, + "loss": 0.7585, + "step": 891 + }, + { + "epoch": 1.9507927829414982, + "grad_norm": 0.07015995681285858, + "learning_rate": 0.0001165450121654501, + "loss": 0.7839, + "step": 892 + }, + { + "epoch": 1.9529797703663205, + "grad_norm": 0.06707464158535004, + "learning_rate": 0.00011630170316301703, + "loss": 0.6547, + "step": 893 + }, + { + "epoch": 1.9551667577911427, + "grad_norm": 0.10003036260604858, + "learning_rate": 0.00011605839416058394, + "loss": 0.844, + "step": 894 + }, + { + "epoch": 1.957353745215965, + "grad_norm": 0.1238449215888977, + "learning_rate": 0.00011581508515815084, + "loss": 0.8968, + "step": 895 + }, + { + "epoch": 1.9595407326407872, + "grad_norm": 0.06823369115591049, + "learning_rate": 0.00011557177615571775, + "loss": 0.7827, + "step": 896 + }, + { + "epoch": 1.9617277200656096, + "grad_norm": 0.06788782775402069, + "learning_rate": 0.00011532846715328465, + "loss": 0.6324, + "step": 897 + }, + { + "epoch": 1.963914707490432, + "grad_norm": 0.0613747276365757, + "learning_rate": 0.00011508515815085157, + "loss": 0.7351, + "step": 898 + }, + { + "epoch": 1.9661016949152543, + "grad_norm": 0.07626453042030334, + "learning_rate": 0.00011484184914841848, + "loss": 0.7546, + "step": 899 + }, + { + "epoch": 1.9682886823400767, + "grad_norm": 0.06262917071580887, + "learning_rate": 0.00011459854014598538, + "loss": 0.7115, + "step": 900 + }, + { + "epoch": 1.9704756697648989, + "grad_norm": 0.09436193108558655, + "learning_rate": 0.0001143552311435523, + "loss": 0.7825, + "step": 901 + }, + { + "epoch": 1.972662657189721, + "grad_norm": 0.07467503100633621, + "learning_rate": 0.00011411192214111922, + "loss": 0.7268, + "step": 902 + }, + { + "epoch": 1.9748496446145434, + "grad_norm": 0.1006925106048584, + "learning_rate": 0.00011386861313868612, + "loss": 0.8221, + "step": 903 + }, + { + "epoch": 1.9770366320393657, + "grad_norm": 0.07432865351438522, + "learning_rate": 0.00011362530413625303, + "loss": 0.5634, + "step": 904 + }, + { + "epoch": 1.9792236194641881, + "grad_norm": 0.09379817545413971, + "learning_rate": 0.00011338199513381994, + "loss": 0.7324, + "step": 905 + }, + { + "epoch": 1.9814106068890105, + "grad_norm": 0.10026013851165771, + "learning_rate": 0.00011313868613138684, + "loss": 0.8822, + "step": 906 + }, + { + "epoch": 1.9835975943138326, + "grad_norm": 0.06522378325462341, + "learning_rate": 0.00011289537712895377, + "loss": 0.6636, + "step": 907 + }, + { + "epoch": 1.985784581738655, + "grad_norm": 0.0877818912267685, + "learning_rate": 0.00011265206812652068, + "loss": 0.879, + "step": 908 + }, + { + "epoch": 1.9879715691634772, + "grad_norm": 0.0784858912229538, + "learning_rate": 0.00011240875912408758, + "loss": 0.6807, + "step": 909 + }, + { + "epoch": 1.9901585565882995, + "grad_norm": 0.08547237515449524, + "learning_rate": 0.00011216545012165449, + "loss": 0.7971, + "step": 910 + }, + { + "epoch": 1.992345544013122, + "grad_norm": 0.08142252266407013, + "learning_rate": 0.00011192214111922141, + "loss": 0.7948, + "step": 911 + }, + { + "epoch": 1.9945325314379443, + "grad_norm": 0.0977170392870903, + "learning_rate": 0.00011167883211678831, + "loss": 0.716, + "step": 912 + }, + { + "epoch": 1.9967195188627667, + "grad_norm": 0.07943693548440933, + "learning_rate": 0.00011143552311435522, + "loss": 0.7307, + "step": 913 + }, + { + "epoch": 1.9989065062875888, + "grad_norm": 0.07169529050588608, + "learning_rate": 0.00011119221411192212, + "loss": 0.7698, + "step": 914 + }, + { + "epoch": 2.001093493712411, + "grad_norm": 0.11213553696870804, + "learning_rate": 0.00011094890510948904, + "loss": 1.0422, + "step": 915 + }, + { + "epoch": 2.0032804811372333, + "grad_norm": 0.07083361595869064, + "learning_rate": 0.00011070559610705596, + "loss": 0.6452, + "step": 916 + }, + { + "epoch": 2.0054674685620557, + "grad_norm": 0.09210053831338882, + "learning_rate": 0.00011046228710462286, + "loss": 0.7645, + "step": 917 + }, + { + "epoch": 2.007654455986878, + "grad_norm": 0.06987687945365906, + "learning_rate": 0.00011021897810218977, + "loss": 0.7631, + "step": 918 + }, + { + "epoch": 2.0098414434117005, + "grad_norm": 0.06710486859083176, + "learning_rate": 0.00010997566909975668, + "loss": 0.5392, + "step": 919 + }, + { + "epoch": 2.012028430836523, + "grad_norm": 0.06049719452857971, + "learning_rate": 0.00010973236009732358, + "loss": 0.5951, + "step": 920 + }, + { + "epoch": 2.014215418261345, + "grad_norm": 0.09142480045557022, + "learning_rate": 0.00010948905109489051, + "loss": 0.8456, + "step": 921 + }, + { + "epoch": 2.016402405686167, + "grad_norm": 0.0777074545621872, + "learning_rate": 0.00010924574209245742, + "loss": 0.8885, + "step": 922 + }, + { + "epoch": 2.0185893931109895, + "grad_norm": 0.06989620625972748, + "learning_rate": 0.00010900243309002432, + "loss": 0.7379, + "step": 923 + }, + { + "epoch": 2.020776380535812, + "grad_norm": 0.09480347484350204, + "learning_rate": 0.00010875912408759123, + "loss": 0.6577, + "step": 924 + }, + { + "epoch": 2.0229633679606343, + "grad_norm": 0.08055185526609421, + "learning_rate": 0.00010851581508515814, + "loss": 0.6044, + "step": 925 + }, + { + "epoch": 2.0251503553854566, + "grad_norm": 0.13323447108268738, + "learning_rate": 0.00010827250608272505, + "loss": 0.7477, + "step": 926 + }, + { + "epoch": 2.027337342810279, + "grad_norm": 0.12184912711381912, + "learning_rate": 0.00010802919708029196, + "loss": 0.7467, + "step": 927 + }, + { + "epoch": 2.029524330235101, + "grad_norm": 0.1011509820818901, + "learning_rate": 0.00010778588807785888, + "loss": 0.806, + "step": 928 + }, + { + "epoch": 2.0317113176599233, + "grad_norm": 0.0946606993675232, + "learning_rate": 0.00010754257907542578, + "loss": 0.8693, + "step": 929 + }, + { + "epoch": 2.0338983050847457, + "grad_norm": 0.0687033012509346, + "learning_rate": 0.00010729927007299269, + "loss": 0.7369, + "step": 930 + }, + { + "epoch": 2.036085292509568, + "grad_norm": 0.08970753103494644, + "learning_rate": 0.00010705596107055961, + "loss": 0.8653, + "step": 931 + }, + { + "epoch": 2.0382722799343904, + "grad_norm": 0.0696936696767807, + "learning_rate": 0.00010681265206812651, + "loss": 0.7843, + "step": 932 + }, + { + "epoch": 2.040459267359213, + "grad_norm": 0.07936150580644608, + "learning_rate": 0.00010656934306569342, + "loss": 0.6687, + "step": 933 + }, + { + "epoch": 2.042646254784035, + "grad_norm": 0.08227389305830002, + "learning_rate": 0.00010632603406326032, + "loss": 0.6724, + "step": 934 + }, + { + "epoch": 2.044833242208857, + "grad_norm": 0.09045292437076569, + "learning_rate": 0.00010608272506082723, + "loss": 0.9322, + "step": 935 + }, + { + "epoch": 2.0470202296336795, + "grad_norm": 0.0928291454911232, + "learning_rate": 0.00010583941605839416, + "loss": 0.7605, + "step": 936 + }, + { + "epoch": 2.049207217058502, + "grad_norm": 0.06723731756210327, + "learning_rate": 0.00010559610705596106, + "loss": 0.7496, + "step": 937 + }, + { + "epoch": 2.051394204483324, + "grad_norm": 0.0904277116060257, + "learning_rate": 0.00010535279805352797, + "loss": 0.9547, + "step": 938 + }, + { + "epoch": 2.0535811919081466, + "grad_norm": 0.0876123309135437, + "learning_rate": 0.00010510948905109488, + "loss": 0.7391, + "step": 939 + }, + { + "epoch": 2.055768179332969, + "grad_norm": 0.055263299494981766, + "learning_rate": 0.00010486618004866178, + "loss": 0.6838, + "step": 940 + }, + { + "epoch": 2.0579551667577913, + "grad_norm": 0.09147639572620392, + "learning_rate": 0.0001046228710462287, + "loss": 0.7595, + "step": 941 + }, + { + "epoch": 2.0601421541826133, + "grad_norm": 0.10334429144859314, + "learning_rate": 0.00010437956204379562, + "loss": 0.731, + "step": 942 + }, + { + "epoch": 2.0623291416074356, + "grad_norm": 0.11397865414619446, + "learning_rate": 0.00010413625304136252, + "loss": 0.6786, + "step": 943 + }, + { + "epoch": 2.064516129032258, + "grad_norm": 0.09213434904813766, + "learning_rate": 0.00010389294403892943, + "loss": 0.7882, + "step": 944 + }, + { + "epoch": 2.0667031164570804, + "grad_norm": 0.07908529788255692, + "learning_rate": 0.00010364963503649635, + "loss": 0.5676, + "step": 945 + }, + { + "epoch": 2.0688901038819028, + "grad_norm": 0.07028684765100479, + "learning_rate": 0.00010340632603406325, + "loss": 0.837, + "step": 946 + }, + { + "epoch": 2.071077091306725, + "grad_norm": 0.10076407343149185, + "learning_rate": 0.00010316301703163016, + "loss": 0.8462, + "step": 947 + }, + { + "epoch": 2.0732640787315475, + "grad_norm": 0.09733647853136063, + "learning_rate": 0.00010291970802919708, + "loss": 0.6866, + "step": 948 + }, + { + "epoch": 2.0754510661563694, + "grad_norm": 0.056383613497018814, + "learning_rate": 0.00010267639902676397, + "loss": 0.6626, + "step": 949 + }, + { + "epoch": 2.077638053581192, + "grad_norm": 0.0990288108587265, + "learning_rate": 0.0001024330900243309, + "loss": 0.7557, + "step": 950 + }, + { + "epoch": 2.079825041006014, + "grad_norm": 0.0716756284236908, + "learning_rate": 0.0001021897810218978, + "loss": 0.6406, + "step": 951 + }, + { + "epoch": 2.0820120284308365, + "grad_norm": 0.05694684386253357, + "learning_rate": 0.00010194647201946471, + "loss": 0.5188, + "step": 952 + }, + { + "epoch": 2.084199015855659, + "grad_norm": 0.07495687901973724, + "learning_rate": 0.00010170316301703162, + "loss": 0.8069, + "step": 953 + }, + { + "epoch": 2.0863860032804813, + "grad_norm": 0.1412467211484909, + "learning_rate": 0.00010145985401459852, + "loss": 0.8952, + "step": 954 + }, + { + "epoch": 2.0885729907053037, + "grad_norm": 0.10137643665075302, + "learning_rate": 0.00010121654501216545, + "loss": 0.7307, + "step": 955 + }, + { + "epoch": 2.0907599781301256, + "grad_norm": 0.08896951377391815, + "learning_rate": 0.00010097323600973236, + "loss": 0.7423, + "step": 956 + }, + { + "epoch": 2.092946965554948, + "grad_norm": 0.07978902012109756, + "learning_rate": 0.00010072992700729926, + "loss": 0.7313, + "step": 957 + }, + { + "epoch": 2.0951339529797703, + "grad_norm": 0.07417238503694534, + "learning_rate": 0.00010048661800486617, + "loss": 0.6688, + "step": 958 + }, + { + "epoch": 2.0973209404045927, + "grad_norm": 0.06443147361278534, + "learning_rate": 0.00010024330900243309, + "loss": 0.6171, + "step": 959 + }, + { + "epoch": 2.099507927829415, + "grad_norm": 0.11541827768087387, + "learning_rate": 9.999999999999999e-05, + "loss": 0.6332, + "step": 960 + }, + { + "epoch": 2.1016949152542375, + "grad_norm": 0.08811238408088684, + "learning_rate": 9.97566909975669e-05, + "loss": 0.7326, + "step": 961 + }, + { + "epoch": 2.1038819026790594, + "grad_norm": 0.08237440884113312, + "learning_rate": 9.951338199513382e-05, + "loss": 0.6783, + "step": 962 + }, + { + "epoch": 2.1060688901038818, + "grad_norm": 0.055551107972860336, + "learning_rate": 9.927007299270071e-05, + "loss": 0.58, + "step": 963 + }, + { + "epoch": 2.108255877528704, + "grad_norm": 0.18178793787956238, + "learning_rate": 9.902676399026764e-05, + "loss": 0.8845, + "step": 964 + }, + { + "epoch": 2.1104428649535265, + "grad_norm": 0.07889654487371445, + "learning_rate": 9.878345498783455e-05, + "loss": 0.7146, + "step": 965 + }, + { + "epoch": 2.112629852378349, + "grad_norm": 0.09357897192239761, + "learning_rate": 9.854014598540145e-05, + "loss": 0.7853, + "step": 966 + }, + { + "epoch": 2.1148168398031713, + "grad_norm": 0.08634817600250244, + "learning_rate": 9.829683698296836e-05, + "loss": 0.7908, + "step": 967 + }, + { + "epoch": 2.1170038272279936, + "grad_norm": 0.08086105436086655, + "learning_rate": 9.805352798053527e-05, + "loss": 0.6468, + "step": 968 + }, + { + "epoch": 2.1191908146528156, + "grad_norm": 0.08335316926240921, + "learning_rate": 9.781021897810217e-05, + "loss": 0.787, + "step": 969 + }, + { + "epoch": 2.121377802077638, + "grad_norm": 0.0961131751537323, + "learning_rate": 9.75669099756691e-05, + "loss": 0.9769, + "step": 970 + }, + { + "epoch": 2.1235647895024603, + "grad_norm": 0.11229154467582703, + "learning_rate": 9.7323600973236e-05, + "loss": 0.7062, + "step": 971 + }, + { + "epoch": 2.1257517769272827, + "grad_norm": 0.07857970893383026, + "learning_rate": 9.708029197080291e-05, + "loss": 0.868, + "step": 972 + }, + { + "epoch": 2.127938764352105, + "grad_norm": 0.07728397101163864, + "learning_rate": 9.683698296836982e-05, + "loss": 0.7644, + "step": 973 + }, + { + "epoch": 2.1301257517769274, + "grad_norm": 0.0893498882651329, + "learning_rate": 9.659367396593672e-05, + "loss": 0.7671, + "step": 974 + }, + { + "epoch": 2.13231273920175, + "grad_norm": 0.07498188316822052, + "learning_rate": 9.635036496350364e-05, + "loss": 0.6838, + "step": 975 + }, + { + "epoch": 2.1344997266265717, + "grad_norm": 0.07685612887144089, + "learning_rate": 9.610705596107056e-05, + "loss": 0.565, + "step": 976 + }, + { + "epoch": 2.136686714051394, + "grad_norm": 0.17771372199058533, + "learning_rate": 9.586374695863745e-05, + "loss": 0.955, + "step": 977 + }, + { + "epoch": 2.1388737014762165, + "grad_norm": 0.0944371297955513, + "learning_rate": 9.562043795620437e-05, + "loss": 0.7276, + "step": 978 + }, + { + "epoch": 2.141060688901039, + "grad_norm": 0.0786268338561058, + "learning_rate": 9.537712895377129e-05, + "loss": 0.6345, + "step": 979 + }, + { + "epoch": 2.143247676325861, + "grad_norm": 0.07822459191083908, + "learning_rate": 9.513381995133819e-05, + "loss": 0.8102, + "step": 980 + }, + { + "epoch": 2.1454346637506836, + "grad_norm": 0.06756392866373062, + "learning_rate": 9.48905109489051e-05, + "loss": 0.5746, + "step": 981 + }, + { + "epoch": 2.1476216511755055, + "grad_norm": 0.09047642350196838, + "learning_rate": 9.464720194647201e-05, + "loss": 0.7174, + "step": 982 + }, + { + "epoch": 2.149808638600328, + "grad_norm": 0.06281984597444534, + "learning_rate": 9.440389294403891e-05, + "loss": 0.6069, + "step": 983 + }, + { + "epoch": 2.1519956260251503, + "grad_norm": 0.08357690274715424, + "learning_rate": 9.416058394160584e-05, + "loss": 0.7138, + "step": 984 + }, + { + "epoch": 2.1541826134499726, + "grad_norm": 0.06927002966403961, + "learning_rate": 9.391727493917275e-05, + "loss": 0.7161, + "step": 985 + }, + { + "epoch": 2.156369600874795, + "grad_norm": 0.08309995383024216, + "learning_rate": 9.367396593673965e-05, + "loss": 0.763, + "step": 986 + }, + { + "epoch": 2.1585565882996174, + "grad_norm": 0.13074147701263428, + "learning_rate": 9.343065693430656e-05, + "loss": 0.6931, + "step": 987 + }, + { + "epoch": 2.1607435757244398, + "grad_norm": 0.059969283640384674, + "learning_rate": 9.318734793187348e-05, + "loss": 0.7651, + "step": 988 + }, + { + "epoch": 2.1629305631492617, + "grad_norm": 0.10092590004205704, + "learning_rate": 9.294403892944038e-05, + "loss": 0.7648, + "step": 989 + }, + { + "epoch": 2.165117550574084, + "grad_norm": 0.0850631520152092, + "learning_rate": 9.27007299270073e-05, + "loss": 0.7525, + "step": 990 + }, + { + "epoch": 2.1673045379989064, + "grad_norm": 0.07505320757627487, + "learning_rate": 9.24574209245742e-05, + "loss": 0.7255, + "step": 991 + }, + { + "epoch": 2.169491525423729, + "grad_norm": 0.07143733650445938, + "learning_rate": 9.22141119221411e-05, + "loss": 0.8092, + "step": 992 + }, + { + "epoch": 2.171678512848551, + "grad_norm": 0.06631165742874146, + "learning_rate": 9.197080291970803e-05, + "loss": 0.6566, + "step": 993 + }, + { + "epoch": 2.1738655002733736, + "grad_norm": 0.09219320863485336, + "learning_rate": 9.172749391727493e-05, + "loss": 0.7073, + "step": 994 + }, + { + "epoch": 2.176052487698196, + "grad_norm": 0.07580631226301193, + "learning_rate": 9.148418491484184e-05, + "loss": 0.807, + "step": 995 + }, + { + "epoch": 2.178239475123018, + "grad_norm": 0.07211830466985703, + "learning_rate": 9.124087591240875e-05, + "loss": 0.7484, + "step": 996 + }, + { + "epoch": 2.1804264625478402, + "grad_norm": 0.05385676771402359, + "learning_rate": 9.099756690997565e-05, + "loss": 0.54, + "step": 997 + }, + { + "epoch": 2.1826134499726626, + "grad_norm": 0.21461127698421478, + "learning_rate": 9.075425790754258e-05, + "loss": 0.8622, + "step": 998 + }, + { + "epoch": 2.184800437397485, + "grad_norm": 0.08088556677103043, + "learning_rate": 9.051094890510949e-05, + "loss": 0.7587, + "step": 999 + }, + { + "epoch": 2.1869874248223073, + "grad_norm": 0.06612838804721832, + "learning_rate": 9.026763990267639e-05, + "loss": 0.6999, + "step": 1000 + }, + { + "epoch": 2.1891744122471297, + "grad_norm": 0.0852365717291832, + "learning_rate": 9.00243309002433e-05, + "loss": 0.6576, + "step": 1001 + }, + { + "epoch": 2.191361399671952, + "grad_norm": 0.08095883578062057, + "learning_rate": 8.978102189781021e-05, + "loss": 0.5707, + "step": 1002 + }, + { + "epoch": 2.193548387096774, + "grad_norm": 0.07096173614263535, + "learning_rate": 8.953771289537712e-05, + "loss": 0.6327, + "step": 1003 + }, + { + "epoch": 2.1957353745215964, + "grad_norm": 0.09493196755647659, + "learning_rate": 8.929440389294404e-05, + "loss": 0.7054, + "step": 1004 + }, + { + "epoch": 2.1979223619464188, + "grad_norm": 0.09779234230518341, + "learning_rate": 8.905109489051095e-05, + "loss": 0.5956, + "step": 1005 + }, + { + "epoch": 2.200109349371241, + "grad_norm": 0.0785955861210823, + "learning_rate": 8.880778588807785e-05, + "loss": 0.6341, + "step": 1006 + }, + { + "epoch": 2.2022963367960635, + "grad_norm": 0.07008160650730133, + "learning_rate": 8.856447688564476e-05, + "loss": 0.628, + "step": 1007 + }, + { + "epoch": 2.204483324220886, + "grad_norm": 0.057833462953567505, + "learning_rate": 8.832116788321167e-05, + "loss": 0.5709, + "step": 1008 + }, + { + "epoch": 2.2066703116457083, + "grad_norm": 0.12803713977336884, + "learning_rate": 8.807785888077858e-05, + "loss": 0.8974, + "step": 1009 + }, + { + "epoch": 2.20885729907053, + "grad_norm": 0.10330130904912949, + "learning_rate": 8.78345498783455e-05, + "loss": 0.9547, + "step": 1010 + }, + { + "epoch": 2.2110442864953526, + "grad_norm": 0.08696506172418594, + "learning_rate": 8.759124087591239e-05, + "loss": 0.948, + "step": 1011 + }, + { + "epoch": 2.213231273920175, + "grad_norm": 0.07327471673488617, + "learning_rate": 8.73479318734793e-05, + "loss": 0.7746, + "step": 1012 + }, + { + "epoch": 2.2154182613449973, + "grad_norm": 0.07920418679714203, + "learning_rate": 8.710462287104623e-05, + "loss": 0.7496, + "step": 1013 + }, + { + "epoch": 2.2176052487698197, + "grad_norm": 0.08569440245628357, + "learning_rate": 8.686131386861313e-05, + "loss": 0.7732, + "step": 1014 + }, + { + "epoch": 2.219792236194642, + "grad_norm": 0.10606760531663895, + "learning_rate": 8.661800486618004e-05, + "loss": 0.7401, + "step": 1015 + }, + { + "epoch": 2.221979223619464, + "grad_norm": 0.06861110031604767, + "learning_rate": 8.637469586374695e-05, + "loss": 0.813, + "step": 1016 + }, + { + "epoch": 2.2241662110442864, + "grad_norm": 0.08536610752344131, + "learning_rate": 8.613138686131385e-05, + "loss": 0.9162, + "step": 1017 + }, + { + "epoch": 2.2263531984691087, + "grad_norm": 0.0722159668803215, + "learning_rate": 8.588807785888078e-05, + "loss": 0.7497, + "step": 1018 + }, + { + "epoch": 2.228540185893931, + "grad_norm": 0.08814802020788193, + "learning_rate": 8.564476885644769e-05, + "loss": 0.7337, + "step": 1019 + }, + { + "epoch": 2.2307271733187535, + "grad_norm": 0.0691298171877861, + "learning_rate": 8.540145985401459e-05, + "loss": 0.6646, + "step": 1020 + }, + { + "epoch": 2.232914160743576, + "grad_norm": 0.08381146937608719, + "learning_rate": 8.51581508515815e-05, + "loss": 0.7164, + "step": 1021 + }, + { + "epoch": 2.235101148168398, + "grad_norm": 0.09841835498809814, + "learning_rate": 8.491484184914842e-05, + "loss": 0.7501, + "step": 1022 + }, + { + "epoch": 2.23728813559322, + "grad_norm": 0.09023883193731308, + "learning_rate": 8.467153284671532e-05, + "loss": 0.8203, + "step": 1023 + }, + { + "epoch": 2.2394751230180425, + "grad_norm": 0.06591757386922836, + "learning_rate": 8.442822384428223e-05, + "loss": 0.7383, + "step": 1024 + }, + { + "epoch": 2.241662110442865, + "grad_norm": 0.06996569037437439, + "learning_rate": 8.418491484184915e-05, + "loss": 0.6344, + "step": 1025 + }, + { + "epoch": 2.2438490978676873, + "grad_norm": 0.07270529121160507, + "learning_rate": 8.394160583941604e-05, + "loss": 1.071, + "step": 1026 + }, + { + "epoch": 2.2460360852925096, + "grad_norm": 0.057372089475393295, + "learning_rate": 8.369829683698297e-05, + "loss": 0.7085, + "step": 1027 + }, + { + "epoch": 2.248223072717332, + "grad_norm": 0.17878244817256927, + "learning_rate": 8.345498783454987e-05, + "loss": 0.7173, + "step": 1028 + }, + { + "epoch": 2.250410060142154, + "grad_norm": 0.10368648171424866, + "learning_rate": 8.321167883211678e-05, + "loss": 0.7553, + "step": 1029 + }, + { + "epoch": 2.2525970475669763, + "grad_norm": 0.08491568267345428, + "learning_rate": 8.296836982968369e-05, + "loss": 0.7309, + "step": 1030 + }, + { + "epoch": 2.2547840349917987, + "grad_norm": 0.0926603451371193, + "learning_rate": 8.272506082725059e-05, + "loss": 0.8079, + "step": 1031 + }, + { + "epoch": 2.256971022416621, + "grad_norm": 0.09677490592002869, + "learning_rate": 8.248175182481752e-05, + "loss": 0.7398, + "step": 1032 + }, + { + "epoch": 2.2591580098414434, + "grad_norm": 0.08250720053911209, + "learning_rate": 8.223844282238443e-05, + "loss": 0.9218, + "step": 1033 + }, + { + "epoch": 2.261344997266266, + "grad_norm": 0.07249108701944351, + "learning_rate": 8.199513381995133e-05, + "loss": 0.9006, + "step": 1034 + }, + { + "epoch": 2.263531984691088, + "grad_norm": 0.08677604794502258, + "learning_rate": 8.175182481751824e-05, + "loss": 0.6948, + "step": 1035 + }, + { + "epoch": 2.26571897211591, + "grad_norm": 0.09446906298398972, + "learning_rate": 8.150851581508516e-05, + "loss": 0.968, + "step": 1036 + }, + { + "epoch": 2.2679059595407325, + "grad_norm": 0.06804203242063522, + "learning_rate": 8.126520681265206e-05, + "loss": 0.7448, + "step": 1037 + }, + { + "epoch": 2.270092946965555, + "grad_norm": 0.13376066088676453, + "learning_rate": 8.102189781021897e-05, + "loss": 1.11, + "step": 1038 + }, + { + "epoch": 2.2722799343903772, + "grad_norm": 0.08178973197937012, + "learning_rate": 8.077858880778589e-05, + "loss": 0.8176, + "step": 1039 + }, + { + "epoch": 2.2744669218151996, + "grad_norm": 0.07346408069133759, + "learning_rate": 8.053527980535278e-05, + "loss": 0.8431, + "step": 1040 + }, + { + "epoch": 2.276653909240022, + "grad_norm": 0.0862707868218422, + "learning_rate": 8.029197080291971e-05, + "loss": 0.7951, + "step": 1041 + }, + { + "epoch": 2.2788408966648444, + "grad_norm": 0.06870719790458679, + "learning_rate": 8.004866180048662e-05, + "loss": 0.6881, + "step": 1042 + }, + { + "epoch": 2.2810278840896663, + "grad_norm": 0.07719549536705017, + "learning_rate": 7.980535279805352e-05, + "loss": 0.9063, + "step": 1043 + }, + { + "epoch": 2.2832148715144887, + "grad_norm": 0.08446962386369705, + "learning_rate": 7.956204379562043e-05, + "loss": 0.9006, + "step": 1044 + }, + { + "epoch": 2.285401858939311, + "grad_norm": 0.0750269889831543, + "learning_rate": 7.931873479318733e-05, + "loss": 0.7266, + "step": 1045 + }, + { + "epoch": 2.2875888463641334, + "grad_norm": 0.09672243148088455, + "learning_rate": 7.907542579075424e-05, + "loss": 0.9674, + "step": 1046 + }, + { + "epoch": 2.2897758337889558, + "grad_norm": 0.09199567139148712, + "learning_rate": 7.883211678832117e-05, + "loss": 0.9492, + "step": 1047 + }, + { + "epoch": 2.291962821213778, + "grad_norm": 0.07620115578174591, + "learning_rate": 7.858880778588807e-05, + "loss": 0.8633, + "step": 1048 + }, + { + "epoch": 2.2941498086386005, + "grad_norm": 0.07889512926340103, + "learning_rate": 7.834549878345498e-05, + "loss": 0.686, + "step": 1049 + }, + { + "epoch": 2.2963367960634224, + "grad_norm": 0.06788111478090286, + "learning_rate": 7.810218978102189e-05, + "loss": 0.6027, + "step": 1050 + }, + { + "epoch": 2.298523783488245, + "grad_norm": 0.07016520202159882, + "learning_rate": 7.785888077858879e-05, + "loss": 0.7403, + "step": 1051 + }, + { + "epoch": 2.300710770913067, + "grad_norm": 0.0898311659693718, + "learning_rate": 7.761557177615571e-05, + "loss": 0.7931, + "step": 1052 + }, + { + "epoch": 2.3028977583378896, + "grad_norm": 0.10451004654169083, + "learning_rate": 7.737226277372263e-05, + "loss": 0.6105, + "step": 1053 + }, + { + "epoch": 2.305084745762712, + "grad_norm": 0.11979032307863235, + "learning_rate": 7.712895377128952e-05, + "loss": 0.8684, + "step": 1054 + }, + { + "epoch": 2.3072717331875343, + "grad_norm": 0.06674796342849731, + "learning_rate": 7.688564476885644e-05, + "loss": 0.7028, + "step": 1055 + }, + { + "epoch": 2.3094587206123567, + "grad_norm": 0.07943496853113174, + "learning_rate": 7.664233576642336e-05, + "loss": 0.6304, + "step": 1056 + }, + { + "epoch": 2.3116457080371786, + "grad_norm": 0.06651945412158966, + "learning_rate": 7.639902676399026e-05, + "loss": 0.7686, + "step": 1057 + }, + { + "epoch": 2.313832695462001, + "grad_norm": 0.06751691550016403, + "learning_rate": 7.615571776155717e-05, + "loss": 0.6221, + "step": 1058 + }, + { + "epoch": 2.3160196828868234, + "grad_norm": 0.07317863404750824, + "learning_rate": 7.591240875912408e-05, + "loss": 0.6193, + "step": 1059 + }, + { + "epoch": 2.3182066703116457, + "grad_norm": 0.060373321175575256, + "learning_rate": 7.566909975669098e-05, + "loss": 0.5639, + "step": 1060 + }, + { + "epoch": 2.320393657736468, + "grad_norm": 0.093042753636837, + "learning_rate": 7.542579075425791e-05, + "loss": 0.7875, + "step": 1061 + }, + { + "epoch": 2.3225806451612905, + "grad_norm": 0.0773727223277092, + "learning_rate": 7.518248175182482e-05, + "loss": 0.7715, + "step": 1062 + }, + { + "epoch": 2.324767632586113, + "grad_norm": 0.09427635371685028, + "learning_rate": 7.493917274939172e-05, + "loss": 0.5771, + "step": 1063 + }, + { + "epoch": 2.326954620010935, + "grad_norm": 0.08171747624874115, + "learning_rate": 7.469586374695863e-05, + "loss": 0.7811, + "step": 1064 + }, + { + "epoch": 2.329141607435757, + "grad_norm": 0.0781749039888382, + "learning_rate": 7.445255474452554e-05, + "loss": 0.7293, + "step": 1065 + }, + { + "epoch": 2.3313285948605795, + "grad_norm": 0.06791822612285614, + "learning_rate": 7.420924574209245e-05, + "loss": 0.5768, + "step": 1066 + }, + { + "epoch": 2.333515582285402, + "grad_norm": 0.15955553948879242, + "learning_rate": 7.396593673965937e-05, + "loss": 0.7255, + "step": 1067 + }, + { + "epoch": 2.3357025697102243, + "grad_norm": 0.0716845914721489, + "learning_rate": 7.372262773722628e-05, + "loss": 0.8059, + "step": 1068 + }, + { + "epoch": 2.3378895571350466, + "grad_norm": 0.0846366360783577, + "learning_rate": 7.347931873479318e-05, + "loss": 0.9213, + "step": 1069 + }, + { + "epoch": 2.340076544559869, + "grad_norm": 0.07286041975021362, + "learning_rate": 7.323600973236009e-05, + "loss": 0.8627, + "step": 1070 + }, + { + "epoch": 2.342263531984691, + "grad_norm": 0.10913561284542084, + "learning_rate": 7.2992700729927e-05, + "loss": 1.0294, + "step": 1071 + }, + { + "epoch": 2.3444505194095133, + "grad_norm": 0.06952612847089767, + "learning_rate": 7.274939172749391e-05, + "loss": 0.772, + "step": 1072 + }, + { + "epoch": 2.3466375068343357, + "grad_norm": 0.08410695940256119, + "learning_rate": 7.250608272506082e-05, + "loss": 0.7979, + "step": 1073 + }, + { + "epoch": 2.348824494259158, + "grad_norm": 0.09294171631336212, + "learning_rate": 7.226277372262774e-05, + "loss": 0.6113, + "step": 1074 + }, + { + "epoch": 2.3510114816839804, + "grad_norm": 0.058909106999635696, + "learning_rate": 7.201946472019465e-05, + "loss": 0.6019, + "step": 1075 + }, + { + "epoch": 2.353198469108803, + "grad_norm": 0.09119275212287903, + "learning_rate": 7.177615571776155e-05, + "loss": 0.7346, + "step": 1076 + }, + { + "epoch": 2.3553854565336247, + "grad_norm": 0.09366860240697861, + "learning_rate": 7.153284671532846e-05, + "loss": 0.718, + "step": 1077 + }, + { + "epoch": 2.357572443958447, + "grad_norm": 0.09081103652715683, + "learning_rate": 7.128953771289537e-05, + "loss": 0.9522, + "step": 1078 + }, + { + "epoch": 2.3597594313832695, + "grad_norm": 0.0864260271191597, + "learning_rate": 7.104622871046228e-05, + "loss": 0.9578, + "step": 1079 + }, + { + "epoch": 2.361946418808092, + "grad_norm": 0.06984029710292816, + "learning_rate": 7.08029197080292e-05, + "loss": 0.6765, + "step": 1080 + }, + { + "epoch": 2.3641334062329142, + "grad_norm": 0.09884701669216156, + "learning_rate": 7.05596107055961e-05, + "loss": 0.7783, + "step": 1081 + }, + { + "epoch": 2.3663203936577366, + "grad_norm": 0.08908721059560776, + "learning_rate": 7.0316301703163e-05, + "loss": 0.7106, + "step": 1082 + }, + { + "epoch": 2.3685073810825585, + "grad_norm": 0.0756077766418457, + "learning_rate": 7.007299270072992e-05, + "loss": 0.8315, + "step": 1083 + }, + { + "epoch": 2.370694368507381, + "grad_norm": 0.07890397310256958, + "learning_rate": 6.982968369829683e-05, + "loss": 0.6402, + "step": 1084 + }, + { + "epoch": 2.3728813559322033, + "grad_norm": 0.10919660329818726, + "learning_rate": 6.958637469586374e-05, + "loss": 0.8817, + "step": 1085 + }, + { + "epoch": 2.3750683433570257, + "grad_norm": 0.07007721066474915, + "learning_rate": 6.934306569343065e-05, + "loss": 0.6753, + "step": 1086 + }, + { + "epoch": 2.377255330781848, + "grad_norm": 0.08484620600938797, + "learning_rate": 6.909975669099755e-05, + "loss": 0.9371, + "step": 1087 + }, + { + "epoch": 2.3794423182066704, + "grad_norm": 0.07797414064407349, + "learning_rate": 6.885644768856448e-05, + "loss": 0.7141, + "step": 1088 + }, + { + "epoch": 2.3816293056314928, + "grad_norm": 0.10736625641584396, + "learning_rate": 6.861313868613137e-05, + "loss": 0.7303, + "step": 1089 + }, + { + "epoch": 2.3838162930563147, + "grad_norm": 0.08985928446054459, + "learning_rate": 6.836982968369829e-05, + "loss": 0.7007, + "step": 1090 + }, + { + "epoch": 2.386003280481137, + "grad_norm": 0.09116514772176743, + "learning_rate": 6.81265206812652e-05, + "loss": 0.9479, + "step": 1091 + }, + { + "epoch": 2.3881902679059595, + "grad_norm": 0.19420021772384644, + "learning_rate": 6.788321167883211e-05, + "loss": 0.7244, + "step": 1092 + }, + { + "epoch": 2.390377255330782, + "grad_norm": 0.09243123233318329, + "learning_rate": 6.763990267639902e-05, + "loss": 0.6836, + "step": 1093 + }, + { + "epoch": 2.392564242755604, + "grad_norm": 0.07107869535684586, + "learning_rate": 6.739659367396593e-05, + "loss": 0.7866, + "step": 1094 + }, + { + "epoch": 2.3947512301804266, + "grad_norm": 0.06886522471904755, + "learning_rate": 6.715328467153285e-05, + "loss": 0.706, + "step": 1095 + }, + { + "epoch": 2.396938217605249, + "grad_norm": 0.09944609552621841, + "learning_rate": 6.690997566909974e-05, + "loss": 0.6348, + "step": 1096 + }, + { + "epoch": 2.399125205030071, + "grad_norm": 0.10290239006280899, + "learning_rate": 6.666666666666666e-05, + "loss": 0.6223, + "step": 1097 + }, + { + "epoch": 2.4013121924548932, + "grad_norm": 0.10776255279779434, + "learning_rate": 6.642335766423357e-05, + "loss": 0.8166, + "step": 1098 + }, + { + "epoch": 2.4034991798797156, + "grad_norm": 0.07462593168020248, + "learning_rate": 6.618004866180048e-05, + "loss": 1.0635, + "step": 1099 + }, + { + "epoch": 2.405686167304538, + "grad_norm": 0.11466379463672638, + "learning_rate": 6.593673965936739e-05, + "loss": 0.9415, + "step": 1100 + }, + { + "epoch": 2.4078731547293604, + "grad_norm": 0.0835941806435585, + "learning_rate": 6.56934306569343e-05, + "loss": 0.6729, + "step": 1101 + }, + { + "epoch": 2.4100601421541827, + "grad_norm": 0.06145847961306572, + "learning_rate": 6.545012165450122e-05, + "loss": 0.669, + "step": 1102 + }, + { + "epoch": 2.412247129579005, + "grad_norm": 0.07832713425159454, + "learning_rate": 6.520681265206811e-05, + "loss": 0.7536, + "step": 1103 + }, + { + "epoch": 2.414434117003827, + "grad_norm": 0.08433317393064499, + "learning_rate": 6.496350364963504e-05, + "loss": 0.8176, + "step": 1104 + }, + { + "epoch": 2.4166211044286494, + "grad_norm": 0.06868691742420197, + "learning_rate": 6.472019464720194e-05, + "loss": 0.7249, + "step": 1105 + }, + { + "epoch": 2.418808091853472, + "grad_norm": 0.07620880752801895, + "learning_rate": 6.447688564476885e-05, + "loss": 0.8705, + "step": 1106 + }, + { + "epoch": 2.420995079278294, + "grad_norm": 0.10115941613912582, + "learning_rate": 6.423357664233576e-05, + "loss": 0.8862, + "step": 1107 + }, + { + "epoch": 2.4231820667031165, + "grad_norm": 0.08521047234535217, + "learning_rate": 6.399026763990267e-05, + "loss": 0.7928, + "step": 1108 + }, + { + "epoch": 2.425369054127939, + "grad_norm": 0.07460395991802216, + "learning_rate": 6.374695863746959e-05, + "loss": 0.7571, + "step": 1109 + }, + { + "epoch": 2.4275560415527613, + "grad_norm": 0.08581558614969254, + "learning_rate": 6.350364963503648e-05, + "loss": 0.7474, + "step": 1110 + }, + { + "epoch": 2.429743028977583, + "grad_norm": 0.0725649744272232, + "learning_rate": 6.326034063260341e-05, + "loss": 0.8508, + "step": 1111 + }, + { + "epoch": 2.4319300164024056, + "grad_norm": 0.07799558341503143, + "learning_rate": 6.301703163017031e-05, + "loss": 0.7736, + "step": 1112 + }, + { + "epoch": 2.434117003827228, + "grad_norm": 0.0797780305147171, + "learning_rate": 6.277372262773722e-05, + "loss": 0.8793, + "step": 1113 + }, + { + "epoch": 2.4363039912520503, + "grad_norm": 0.08130493015050888, + "learning_rate": 6.253041362530413e-05, + "loss": 0.7156, + "step": 1114 + }, + { + "epoch": 2.4384909786768727, + "grad_norm": 0.1088588610291481, + "learning_rate": 6.228710462287104e-05, + "loss": 0.6551, + "step": 1115 + }, + { + "epoch": 2.440677966101695, + "grad_norm": 0.08808402717113495, + "learning_rate": 6.204379562043796e-05, + "loss": 0.8048, + "step": 1116 + }, + { + "epoch": 2.4428649535265174, + "grad_norm": 0.06423743814229965, + "learning_rate": 6.180048661800485e-05, + "loss": 0.7131, + "step": 1117 + }, + { + "epoch": 2.4450519409513394, + "grad_norm": 0.10461019724607468, + "learning_rate": 6.155717761557178e-05, + "loss": 0.984, + "step": 1118 + }, + { + "epoch": 2.4472389283761617, + "grad_norm": 0.07848324626684189, + "learning_rate": 6.131386861313868e-05, + "loss": 0.783, + "step": 1119 + }, + { + "epoch": 2.449425915800984, + "grad_norm": 0.0791197121143341, + "learning_rate": 6.107055961070559e-05, + "loss": 0.7428, + "step": 1120 + }, + { + "epoch": 2.4516129032258065, + "grad_norm": 0.07028145343065262, + "learning_rate": 6.08272506082725e-05, + "loss": 0.7888, + "step": 1121 + }, + { + "epoch": 2.453799890650629, + "grad_norm": 0.06888438761234283, + "learning_rate": 6.0583941605839414e-05, + "loss": 0.7338, + "step": 1122 + }, + { + "epoch": 2.4559868780754512, + "grad_norm": 0.08267965167760849, + "learning_rate": 6.034063260340632e-05, + "loss": 0.6528, + "step": 1123 + }, + { + "epoch": 2.4581738655002736, + "grad_norm": 0.06713170558214188, + "learning_rate": 6.0097323600973225e-05, + "loss": 0.8041, + "step": 1124 + }, + { + "epoch": 2.4603608529250955, + "grad_norm": 0.07152212411165237, + "learning_rate": 5.985401459854014e-05, + "loss": 0.5876, + "step": 1125 + }, + { + "epoch": 2.462547840349918, + "grad_norm": 0.07547925412654877, + "learning_rate": 5.961070559610705e-05, + "loss": 0.6759, + "step": 1126 + }, + { + "epoch": 2.4647348277747403, + "grad_norm": 0.109125055372715, + "learning_rate": 5.936739659367396e-05, + "loss": 0.7398, + "step": 1127 + }, + { + "epoch": 2.4669218151995627, + "grad_norm": 0.10382095724344254, + "learning_rate": 5.912408759124087e-05, + "loss": 0.7193, + "step": 1128 + }, + { + "epoch": 2.469108802624385, + "grad_norm": 0.07098816335201263, + "learning_rate": 5.8880778588807784e-05, + "loss": 0.701, + "step": 1129 + }, + { + "epoch": 2.4712957900492074, + "grad_norm": 0.08409219980239868, + "learning_rate": 5.863746958637469e-05, + "loss": 0.6704, + "step": 1130 + }, + { + "epoch": 2.4734827774740293, + "grad_norm": 0.1048772782087326, + "learning_rate": 5.83941605839416e-05, + "loss": 0.9118, + "step": 1131 + }, + { + "epoch": 2.4756697648988517, + "grad_norm": 0.09534591436386108, + "learning_rate": 5.815085158150851e-05, + "loss": 0.7365, + "step": 1132 + }, + { + "epoch": 2.477856752323674, + "grad_norm": 0.09338468313217163, + "learning_rate": 5.790754257907542e-05, + "loss": 0.7319, + "step": 1133 + }, + { + "epoch": 2.4800437397484965, + "grad_norm": 0.10234222561120987, + "learning_rate": 5.7664233576642324e-05, + "loss": 0.9249, + "step": 1134 + }, + { + "epoch": 2.482230727173319, + "grad_norm": 0.0823669582605362, + "learning_rate": 5.742092457420924e-05, + "loss": 0.8401, + "step": 1135 + }, + { + "epoch": 2.484417714598141, + "grad_norm": 0.06316480785608292, + "learning_rate": 5.717761557177615e-05, + "loss": 0.603, + "step": 1136 + }, + { + "epoch": 2.486604702022963, + "grad_norm": 0.07429931312799454, + "learning_rate": 5.693430656934306e-05, + "loss": 0.7784, + "step": 1137 + }, + { + "epoch": 2.4887916894477855, + "grad_norm": 0.07967238128185272, + "learning_rate": 5.669099756690997e-05, + "loss": 0.9535, + "step": 1138 + }, + { + "epoch": 2.490978676872608, + "grad_norm": 0.08215310424566269, + "learning_rate": 5.644768856447688e-05, + "loss": 0.6259, + "step": 1139 + }, + { + "epoch": 2.4931656642974303, + "grad_norm": 0.09531980752944946, + "learning_rate": 5.620437956204379e-05, + "loss": 0.6915, + "step": 1140 + }, + { + "epoch": 2.4953526517222526, + "grad_norm": 0.06829043477773666, + "learning_rate": 5.596107055961071e-05, + "loss": 0.7723, + "step": 1141 + }, + { + "epoch": 2.497539639147075, + "grad_norm": 0.06126844137907028, + "learning_rate": 5.571776155717761e-05, + "loss": 0.675, + "step": 1142 + }, + { + "epoch": 2.4997266265718974, + "grad_norm": 0.06623872369527817, + "learning_rate": 5.547445255474452e-05, + "loss": 0.583, + "step": 1143 + }, + { + "epoch": 2.5019136139967193, + "grad_norm": 0.07211019098758698, + "learning_rate": 5.523114355231143e-05, + "loss": 0.7915, + "step": 1144 + }, + { + "epoch": 2.5041006014215417, + "grad_norm": 0.08093272894620895, + "learning_rate": 5.498783454987834e-05, + "loss": 0.7395, + "step": 1145 + }, + { + "epoch": 2.506287588846364, + "grad_norm": 0.06615380942821503, + "learning_rate": 5.4744525547445253e-05, + "loss": 0.634, + "step": 1146 + }, + { + "epoch": 2.5084745762711864, + "grad_norm": 0.061923056840896606, + "learning_rate": 5.450121654501216e-05, + "loss": 0.639, + "step": 1147 + }, + { + "epoch": 2.510661563696009, + "grad_norm": 0.12508158385753632, + "learning_rate": 5.425790754257907e-05, + "loss": 0.758, + "step": 1148 + }, + { + "epoch": 2.512848551120831, + "grad_norm": 0.08037944883108139, + "learning_rate": 5.401459854014598e-05, + "loss": 0.9135, + "step": 1149 + }, + { + "epoch": 2.5150355385456535, + "grad_norm": 0.07447275519371033, + "learning_rate": 5.377128953771289e-05, + "loss": 0.6162, + "step": 1150 + }, + { + "epoch": 2.5172225259704755, + "grad_norm": 0.0623435340821743, + "learning_rate": 5.3527980535279806e-05, + "loss": 0.8329, + "step": 1151 + }, + { + "epoch": 2.519409513395298, + "grad_norm": 0.11211232095956802, + "learning_rate": 5.328467153284671e-05, + "loss": 0.7849, + "step": 1152 + }, + { + "epoch": 2.52159650082012, + "grad_norm": 0.07305530458688736, + "learning_rate": 5.304136253041362e-05, + "loss": 0.6082, + "step": 1153 + }, + { + "epoch": 2.5237834882449426, + "grad_norm": 0.07583969086408615, + "learning_rate": 5.279805352798053e-05, + "loss": 0.6665, + "step": 1154 + }, + { + "epoch": 2.525970475669765, + "grad_norm": 0.0823328047990799, + "learning_rate": 5.255474452554744e-05, + "loss": 0.737, + "step": 1155 + }, + { + "epoch": 2.5281574630945873, + "grad_norm": 0.06338238716125488, + "learning_rate": 5.231143552311435e-05, + "loss": 0.711, + "step": 1156 + }, + { + "epoch": 2.5303444505194097, + "grad_norm": 0.0992513969540596, + "learning_rate": 5.206812652068126e-05, + "loss": 0.7217, + "step": 1157 + }, + { + "epoch": 2.5325314379442316, + "grad_norm": 0.09062033146619797, + "learning_rate": 5.1824817518248176e-05, + "loss": 0.631, + "step": 1158 + }, + { + "epoch": 2.534718425369054, + "grad_norm": 0.10142271220684052, + "learning_rate": 5.158150851581508e-05, + "loss": 0.7089, + "step": 1159 + }, + { + "epoch": 2.5369054127938764, + "grad_norm": 0.0871056541800499, + "learning_rate": 5.133819951338199e-05, + "loss": 0.7909, + "step": 1160 + }, + { + "epoch": 2.5390924002186988, + "grad_norm": 0.0958031713962555, + "learning_rate": 5.10948905109489e-05, + "loss": 0.8337, + "step": 1161 + }, + { + "epoch": 2.541279387643521, + "grad_norm": 0.09863116592168808, + "learning_rate": 5.085158150851581e-05, + "loss": 0.6912, + "step": 1162 + }, + { + "epoch": 2.5434663750683435, + "grad_norm": 0.0668046623468399, + "learning_rate": 5.060827250608272e-05, + "loss": 0.739, + "step": 1163 + }, + { + "epoch": 2.545653362493166, + "grad_norm": 0.08612240850925446, + "learning_rate": 5.036496350364963e-05, + "loss": 0.8884, + "step": 1164 + }, + { + "epoch": 2.547840349917988, + "grad_norm": 0.0903901755809784, + "learning_rate": 5.0121654501216546e-05, + "loss": 0.7451, + "step": 1165 + }, + { + "epoch": 2.55002733734281, + "grad_norm": 0.09301696717739105, + "learning_rate": 4.987834549878345e-05, + "loss": 0.645, + "step": 1166 + }, + { + "epoch": 2.5522143247676325, + "grad_norm": 0.09176785498857498, + "learning_rate": 4.963503649635036e-05, + "loss": 0.8656, + "step": 1167 + }, + { + "epoch": 2.554401312192455, + "grad_norm": 0.1201806291937828, + "learning_rate": 4.9391727493917275e-05, + "loss": 0.8535, + "step": 1168 + }, + { + "epoch": 2.5565882996172773, + "grad_norm": 0.09071844816207886, + "learning_rate": 4.914841849148418e-05, + "loss": 0.5364, + "step": 1169 + }, + { + "epoch": 2.5587752870420997, + "grad_norm": 0.07767153531312943, + "learning_rate": 4.8905109489051086e-05, + "loss": 0.697, + "step": 1170 + }, + { + "epoch": 2.560962274466922, + "grad_norm": 0.0734206885099411, + "learning_rate": 4.8661800486618e-05, + "loss": 0.5969, + "step": 1171 + }, + { + "epoch": 2.563149261891744, + "grad_norm": 0.08533921837806702, + "learning_rate": 4.841849148418491e-05, + "loss": 0.6696, + "step": 1172 + }, + { + "epoch": 2.5653362493165663, + "grad_norm": 0.0915173888206482, + "learning_rate": 4.817518248175182e-05, + "loss": 0.6162, + "step": 1173 + }, + { + "epoch": 2.5675232367413887, + "grad_norm": 0.098113514482975, + "learning_rate": 4.793187347931873e-05, + "loss": 0.8287, + "step": 1174 + }, + { + "epoch": 2.569710224166211, + "grad_norm": 0.0852993056178093, + "learning_rate": 4.7688564476885646e-05, + "loss": 0.7892, + "step": 1175 + }, + { + "epoch": 2.5718972115910335, + "grad_norm": 0.08286046236753464, + "learning_rate": 4.744525547445255e-05, + "loss": 0.7852, + "step": 1176 + }, + { + "epoch": 2.5740841990158554, + "grad_norm": 0.057291850447654724, + "learning_rate": 4.7201946472019456e-05, + "loss": 0.7768, + "step": 1177 + }, + { + "epoch": 2.576271186440678, + "grad_norm": 0.09071062505245209, + "learning_rate": 4.6958637469586375e-05, + "loss": 0.578, + "step": 1178 + }, + { + "epoch": 2.5784581738655, + "grad_norm": 0.0734238550066948, + "learning_rate": 4.671532846715328e-05, + "loss": 0.9407, + "step": 1179 + }, + { + "epoch": 2.5806451612903225, + "grad_norm": 0.10794063657522202, + "learning_rate": 4.647201946472019e-05, + "loss": 0.611, + "step": 1180 + }, + { + "epoch": 2.582832148715145, + "grad_norm": 0.06822875887155533, + "learning_rate": 4.62287104622871e-05, + "loss": 0.686, + "step": 1181 + }, + { + "epoch": 2.5850191361399673, + "grad_norm": 0.06623398512601852, + "learning_rate": 4.5985401459854016e-05, + "loss": 0.7094, + "step": 1182 + }, + { + "epoch": 2.5872061235647896, + "grad_norm": 0.10279852151870728, + "learning_rate": 4.574209245742092e-05, + "loss": 0.734, + "step": 1183 + }, + { + "epoch": 2.5893931109896116, + "grad_norm": 0.07478180527687073, + "learning_rate": 4.5498783454987826e-05, + "loss": 0.7602, + "step": 1184 + }, + { + "epoch": 2.5915800984144344, + "grad_norm": 0.09173017740249634, + "learning_rate": 4.5255474452554745e-05, + "loss": 0.7003, + "step": 1185 + }, + { + "epoch": 2.5937670858392563, + "grad_norm": 0.11866860836744308, + "learning_rate": 4.501216545012165e-05, + "loss": 0.8427, + "step": 1186 + }, + { + "epoch": 2.5959540732640787, + "grad_norm": 0.0660102590918541, + "learning_rate": 4.476885644768856e-05, + "loss": 0.776, + "step": 1187 + }, + { + "epoch": 2.598141060688901, + "grad_norm": 0.07295911014080048, + "learning_rate": 4.4525547445255474e-05, + "loss": 0.5899, + "step": 1188 + }, + { + "epoch": 2.6003280481137234, + "grad_norm": 0.08945795893669128, + "learning_rate": 4.428223844282238e-05, + "loss": 0.6909, + "step": 1189 + }, + { + "epoch": 2.602515035538546, + "grad_norm": 0.10777135193347931, + "learning_rate": 4.403892944038929e-05, + "loss": 0.7097, + "step": 1190 + }, + { + "epoch": 2.6047020229633677, + "grad_norm": 0.07329002767801285, + "learning_rate": 4.3795620437956196e-05, + "loss": 0.7781, + "step": 1191 + }, + { + "epoch": 2.6068890103881905, + "grad_norm": 0.07944609224796295, + "learning_rate": 4.3552311435523115e-05, + "loss": 0.7291, + "step": 1192 + }, + { + "epoch": 2.6090759978130125, + "grad_norm": 0.09793639183044434, + "learning_rate": 4.330900243309002e-05, + "loss": 0.8601, + "step": 1193 + }, + { + "epoch": 2.611262985237835, + "grad_norm": 0.08985134959220886, + "learning_rate": 4.3065693430656925e-05, + "loss": 0.7369, + "step": 1194 + }, + { + "epoch": 2.613449972662657, + "grad_norm": 0.07703636586666107, + "learning_rate": 4.2822384428223844e-05, + "loss": 0.7009, + "step": 1195 + }, + { + "epoch": 2.6156369600874796, + "grad_norm": 0.10688634216785431, + "learning_rate": 4.257907542579075e-05, + "loss": 0.8018, + "step": 1196 + }, + { + "epoch": 2.617823947512302, + "grad_norm": 0.07256361842155457, + "learning_rate": 4.233576642335766e-05, + "loss": 0.6971, + "step": 1197 + }, + { + "epoch": 2.620010934937124, + "grad_norm": 0.07254188507795334, + "learning_rate": 4.209245742092457e-05, + "loss": 0.8364, + "step": 1198 + }, + { + "epoch": 2.6221979223619463, + "grad_norm": 0.09335916489362717, + "learning_rate": 4.1849148418491485e-05, + "loss": 0.6078, + "step": 1199 + }, + { + "epoch": 2.6243849097867686, + "grad_norm": 0.07808747887611389, + "learning_rate": 4.160583941605839e-05, + "loss": 0.7846, + "step": 1200 + }, + { + "epoch": 2.626571897211591, + "grad_norm": 0.08228028565645218, + "learning_rate": 4.1362530413625295e-05, + "loss": 0.5465, + "step": 1201 + }, + { + "epoch": 2.6287588846364134, + "grad_norm": 0.06200472638010979, + "learning_rate": 4.1119221411192214e-05, + "loss": 0.6836, + "step": 1202 + }, + { + "epoch": 2.6309458720612358, + "grad_norm": 0.08144888281822205, + "learning_rate": 4.087591240875912e-05, + "loss": 1.1385, + "step": 1203 + }, + { + "epoch": 2.633132859486058, + "grad_norm": 0.08151616156101227, + "learning_rate": 4.063260340632603e-05, + "loss": 0.7764, + "step": 1204 + }, + { + "epoch": 2.63531984691088, + "grad_norm": 0.11929363012313843, + "learning_rate": 4.038929440389294e-05, + "loss": 0.8308, + "step": 1205 + }, + { + "epoch": 2.6375068343357024, + "grad_norm": 0.07248014211654663, + "learning_rate": 4.0145985401459855e-05, + "loss": 0.5666, + "step": 1206 + }, + { + "epoch": 2.639693821760525, + "grad_norm": 0.06742606312036514, + "learning_rate": 3.990267639902676e-05, + "loss": 0.7698, + "step": 1207 + }, + { + "epoch": 2.641880809185347, + "grad_norm": 0.06422898918390274, + "learning_rate": 3.9659367396593665e-05, + "loss": 0.6233, + "step": 1208 + }, + { + "epoch": 2.6440677966101696, + "grad_norm": 0.07087066024541855, + "learning_rate": 3.9416058394160584e-05, + "loss": 0.678, + "step": 1209 + }, + { + "epoch": 2.646254784034992, + "grad_norm": 0.07521770149469376, + "learning_rate": 3.917274939172749e-05, + "loss": 0.7148, + "step": 1210 + }, + { + "epoch": 2.6484417714598143, + "grad_norm": 0.08148179948329926, + "learning_rate": 3.8929440389294394e-05, + "loss": 0.723, + "step": 1211 + }, + { + "epoch": 2.6506287588846362, + "grad_norm": 0.07529537379741669, + "learning_rate": 3.868613138686131e-05, + "loss": 0.6802, + "step": 1212 + }, + { + "epoch": 2.6528157463094586, + "grad_norm": 0.085600346326828, + "learning_rate": 3.844282238442822e-05, + "loss": 0.6309, + "step": 1213 + }, + { + "epoch": 2.655002733734281, + "grad_norm": 0.0737261101603508, + "learning_rate": 3.819951338199513e-05, + "loss": 0.8115, + "step": 1214 + }, + { + "epoch": 2.6571897211591033, + "grad_norm": 0.12467405200004578, + "learning_rate": 3.795620437956204e-05, + "loss": 0.7528, + "step": 1215 + }, + { + "epoch": 2.6593767085839257, + "grad_norm": 0.0550081767141819, + "learning_rate": 3.7712895377128954e-05, + "loss": 0.6843, + "step": 1216 + }, + { + "epoch": 2.661563696008748, + "grad_norm": 0.09586907923221588, + "learning_rate": 3.746958637469586e-05, + "loss": 0.8397, + "step": 1217 + }, + { + "epoch": 2.6637506834335705, + "grad_norm": 0.08970252424478531, + "learning_rate": 3.722627737226277e-05, + "loss": 0.7656, + "step": 1218 + }, + { + "epoch": 2.6659376708583924, + "grad_norm": 0.1065090000629425, + "learning_rate": 3.698296836982968e-05, + "loss": 1.0243, + "step": 1219 + }, + { + "epoch": 2.6681246582832148, + "grad_norm": 0.0795358344912529, + "learning_rate": 3.673965936739659e-05, + "loss": 0.8312, + "step": 1220 + }, + { + "epoch": 2.670311645708037, + "grad_norm": 0.061977289617061615, + "learning_rate": 3.64963503649635e-05, + "loss": 0.7058, + "step": 1221 + }, + { + "epoch": 2.6724986331328595, + "grad_norm": 0.09110367298126221, + "learning_rate": 3.625304136253041e-05, + "loss": 0.7711, + "step": 1222 + }, + { + "epoch": 2.674685620557682, + "grad_norm": 0.20066921412944794, + "learning_rate": 3.6009732360097324e-05, + "loss": 0.8644, + "step": 1223 + }, + { + "epoch": 2.6768726079825043, + "grad_norm": 0.07707270979881287, + "learning_rate": 3.576642335766423e-05, + "loss": 0.7995, + "step": 1224 + }, + { + "epoch": 2.6790595954073266, + "grad_norm": 0.08274243772029877, + "learning_rate": 3.552311435523114e-05, + "loss": 0.767, + "step": 1225 + }, + { + "epoch": 2.6812465828321486, + "grad_norm": 0.08387649804353714, + "learning_rate": 3.527980535279805e-05, + "loss": 0.8237, + "step": 1226 + }, + { + "epoch": 2.683433570256971, + "grad_norm": 0.076222725212574, + "learning_rate": 3.503649635036496e-05, + "loss": 0.9859, + "step": 1227 + }, + { + "epoch": 2.6856205576817933, + "grad_norm": 0.08607509732246399, + "learning_rate": 3.479318734793187e-05, + "loss": 0.5676, + "step": 1228 + }, + { + "epoch": 2.6878075451066157, + "grad_norm": 0.07933259010314941, + "learning_rate": 3.4549878345498775e-05, + "loss": 0.6746, + "step": 1229 + }, + { + "epoch": 2.689994532531438, + "grad_norm": 0.07895082235336304, + "learning_rate": 3.430656934306569e-05, + "loss": 0.807, + "step": 1230 + }, + { + "epoch": 2.69218151995626, + "grad_norm": 0.11095573008060455, + "learning_rate": 3.40632603406326e-05, + "loss": 0.5826, + "step": 1231 + }, + { + "epoch": 2.694368507381083, + "grad_norm": 0.06652721017599106, + "learning_rate": 3.381995133819951e-05, + "loss": 0.7234, + "step": 1232 + }, + { + "epoch": 2.6965554948059047, + "grad_norm": 0.089516282081604, + "learning_rate": 3.357664233576642e-05, + "loss": 0.7928, + "step": 1233 + }, + { + "epoch": 2.698742482230727, + "grad_norm": 0.08979205042123795, + "learning_rate": 3.333333333333333e-05, + "loss": 0.7722, + "step": 1234 + }, + { + "epoch": 2.7009294696555495, + "grad_norm": 0.08315502107143402, + "learning_rate": 3.309002433090024e-05, + "loss": 0.7202, + "step": 1235 + }, + { + "epoch": 2.703116457080372, + "grad_norm": 0.2530580461025238, + "learning_rate": 3.284671532846715e-05, + "loss": 0.8165, + "step": 1236 + }, + { + "epoch": 2.705303444505194, + "grad_norm": 0.09219227731227875, + "learning_rate": 3.260340632603406e-05, + "loss": 0.7396, + "step": 1237 + }, + { + "epoch": 2.707490431930016, + "grad_norm": 0.10319563001394272, + "learning_rate": 3.236009732360097e-05, + "loss": 0.6723, + "step": 1238 + }, + { + "epoch": 2.709677419354839, + "grad_norm": 0.08047288656234741, + "learning_rate": 3.211678832116788e-05, + "loss": 0.7627, + "step": 1239 + }, + { + "epoch": 2.711864406779661, + "grad_norm": 0.09409146010875702, + "learning_rate": 3.187347931873479e-05, + "loss": 0.7849, + "step": 1240 + }, + { + "epoch": 2.7140513942044833, + "grad_norm": 0.054560620337724686, + "learning_rate": 3.1630170316301705e-05, + "loss": 0.6031, + "step": 1241 + }, + { + "epoch": 2.7162383816293056, + "grad_norm": 0.08310217410326004, + "learning_rate": 3.138686131386861e-05, + "loss": 0.5672, + "step": 1242 + }, + { + "epoch": 2.718425369054128, + "grad_norm": 0.10088968276977539, + "learning_rate": 3.114355231143552e-05, + "loss": 0.8667, + "step": 1243 + }, + { + "epoch": 2.7206123564789504, + "grad_norm": 0.09563292562961578, + "learning_rate": 3.090024330900243e-05, + "loss": 0.5637, + "step": 1244 + }, + { + "epoch": 2.7227993439037723, + "grad_norm": 0.0703221783041954, + "learning_rate": 3.065693430656934e-05, + "loss": 0.7467, + "step": 1245 + }, + { + "epoch": 2.724986331328595, + "grad_norm": 0.07443662732839584, + "learning_rate": 3.041362530413625e-05, + "loss": 0.7312, + "step": 1246 + }, + { + "epoch": 2.727173318753417, + "grad_norm": 0.08921755105257034, + "learning_rate": 3.017031630170316e-05, + "loss": 0.7611, + "step": 1247 + }, + { + "epoch": 2.7293603061782394, + "grad_norm": 0.08078836649656296, + "learning_rate": 2.992700729927007e-05, + "loss": 0.6583, + "step": 1248 + }, + { + "epoch": 2.731547293603062, + "grad_norm": 0.07288132607936859, + "learning_rate": 2.968369829683698e-05, + "loss": 0.9001, + "step": 1249 + }, + { + "epoch": 2.733734281027884, + "grad_norm": 0.0727166086435318, + "learning_rate": 2.9440389294403892e-05, + "loss": 0.5488, + "step": 1250 + }, + { + "epoch": 2.7359212684527066, + "grad_norm": 0.06199979782104492, + "learning_rate": 2.91970802919708e-05, + "loss": 0.7707, + "step": 1251 + }, + { + "epoch": 2.7381082558775285, + "grad_norm": 0.08189979940652847, + "learning_rate": 2.895377128953771e-05, + "loss": 0.7451, + "step": 1252 + }, + { + "epoch": 2.740295243302351, + "grad_norm": 0.06560924649238586, + "learning_rate": 2.871046228710462e-05, + "loss": 0.6034, + "step": 1253 + }, + { + "epoch": 2.7424822307271732, + "grad_norm": 0.05480765178799629, + "learning_rate": 2.846715328467153e-05, + "loss": 0.8319, + "step": 1254 + }, + { + "epoch": 2.7446692181519956, + "grad_norm": 0.0740312710404396, + "learning_rate": 2.822384428223844e-05, + "loss": 0.6856, + "step": 1255 + }, + { + "epoch": 2.746856205576818, + "grad_norm": 0.08407650142908096, + "learning_rate": 2.7980535279805354e-05, + "loss": 0.841, + "step": 1256 + }, + { + "epoch": 2.7490431930016404, + "grad_norm": 0.09246685355901718, + "learning_rate": 2.773722627737226e-05, + "loss": 0.7942, + "step": 1257 + }, + { + "epoch": 2.7512301804264627, + "grad_norm": 0.07537426799535751, + "learning_rate": 2.749391727493917e-05, + "loss": 0.6824, + "step": 1258 + }, + { + "epoch": 2.7534171678512847, + "grad_norm": 0.08348257839679718, + "learning_rate": 2.725060827250608e-05, + "loss": 0.8459, + "step": 1259 + }, + { + "epoch": 2.755604155276107, + "grad_norm": 0.09857781231403351, + "learning_rate": 2.700729927007299e-05, + "loss": 0.8009, + "step": 1260 + }, + { + "epoch": 2.7577911427009294, + "grad_norm": 0.06595317274332047, + "learning_rate": 2.6763990267639903e-05, + "loss": 0.7017, + "step": 1261 + }, + { + "epoch": 2.7599781301257518, + "grad_norm": 0.11193515360355377, + "learning_rate": 2.652068126520681e-05, + "loss": 0.9608, + "step": 1262 + }, + { + "epoch": 2.762165117550574, + "grad_norm": 0.11358100920915604, + "learning_rate": 2.627737226277372e-05, + "loss": 0.9362, + "step": 1263 + }, + { + "epoch": 2.7643521049753965, + "grad_norm": 0.08365963399410248, + "learning_rate": 2.603406326034063e-05, + "loss": 0.6586, + "step": 1264 + }, + { + "epoch": 2.766539092400219, + "grad_norm": 0.08425851911306381, + "learning_rate": 2.579075425790754e-05, + "loss": 0.6207, + "step": 1265 + }, + { + "epoch": 2.768726079825041, + "grad_norm": 0.08300016075372696, + "learning_rate": 2.554744525547445e-05, + "loss": 0.7071, + "step": 1266 + }, + { + "epoch": 2.770913067249863, + "grad_norm": 0.07538145780563354, + "learning_rate": 2.530413625304136e-05, + "loss": 0.6806, + "step": 1267 + }, + { + "epoch": 2.7731000546746856, + "grad_norm": 0.09078985452651978, + "learning_rate": 2.5060827250608273e-05, + "loss": 0.8466, + "step": 1268 + }, + { + "epoch": 2.775287042099508, + "grad_norm": 0.10512721538543701, + "learning_rate": 2.481751824817518e-05, + "loss": 0.7756, + "step": 1269 + }, + { + "epoch": 2.7774740295243303, + "grad_norm": 0.0636158287525177, + "learning_rate": 2.457420924574209e-05, + "loss": 0.7288, + "step": 1270 + }, + { + "epoch": 2.7796610169491527, + "grad_norm": 0.08895117789506912, + "learning_rate": 2.4330900243309e-05, + "loss": 0.8133, + "step": 1271 + }, + { + "epoch": 2.781848004373975, + "grad_norm": 0.10379452258348465, + "learning_rate": 2.408759124087591e-05, + "loss": 0.7453, + "step": 1272 + }, + { + "epoch": 2.784034991798797, + "grad_norm": 0.07783486694097519, + "learning_rate": 2.3844282238442823e-05, + "loss": 0.7594, + "step": 1273 + }, + { + "epoch": 2.7862219792236194, + "grad_norm": 0.08562421053647995, + "learning_rate": 2.3600973236009728e-05, + "loss": 0.9168, + "step": 1274 + }, + { + "epoch": 2.7884089666484417, + "grad_norm": 0.08553941547870636, + "learning_rate": 2.335766423357664e-05, + "loss": 0.8853, + "step": 1275 + }, + { + "epoch": 2.790595954073264, + "grad_norm": 0.11559879779815674, + "learning_rate": 2.311435523114355e-05, + "loss": 0.8303, + "step": 1276 + }, + { + "epoch": 2.7927829414980865, + "grad_norm": 0.07920137047767639, + "learning_rate": 2.287104622871046e-05, + "loss": 0.6972, + "step": 1277 + }, + { + "epoch": 2.794969928922909, + "grad_norm": 0.07391852140426636, + "learning_rate": 2.2627737226277372e-05, + "loss": 0.8817, + "step": 1278 + }, + { + "epoch": 2.7971569163477312, + "grad_norm": 0.10024291276931763, + "learning_rate": 2.238442822384428e-05, + "loss": 0.9011, + "step": 1279 + }, + { + "epoch": 2.799343903772553, + "grad_norm": 0.08718293905258179, + "learning_rate": 2.214111922141119e-05, + "loss": 0.8869, + "step": 1280 + }, + { + "epoch": 2.8015308911973755, + "grad_norm": 0.10878469049930573, + "learning_rate": 2.1897810218978098e-05, + "loss": 0.8187, + "step": 1281 + }, + { + "epoch": 2.803717878622198, + "grad_norm": 0.0762571319937706, + "learning_rate": 2.165450121654501e-05, + "loss": 0.7006, + "step": 1282 + }, + { + "epoch": 2.8059048660470203, + "grad_norm": 0.09178930521011353, + "learning_rate": 2.1411192214111922e-05, + "loss": 0.8347, + "step": 1283 + }, + { + "epoch": 2.8080918534718426, + "grad_norm": 0.13045111298561096, + "learning_rate": 2.116788321167883e-05, + "loss": 1.0125, + "step": 1284 + }, + { + "epoch": 2.8102788408966646, + "grad_norm": 0.09537582844495773, + "learning_rate": 2.0924574209245742e-05, + "loss": 0.6814, + "step": 1285 + }, + { + "epoch": 2.8124658283214874, + "grad_norm": 0.08972804993391037, + "learning_rate": 2.0681265206812648e-05, + "loss": 0.5872, + "step": 1286 + }, + { + "epoch": 2.8146528157463093, + "grad_norm": 0.09498530626296997, + "learning_rate": 2.043795620437956e-05, + "loss": 1.0232, + "step": 1287 + }, + { + "epoch": 2.8168398031711317, + "grad_norm": 0.07060670852661133, + "learning_rate": 2.019464720194647e-05, + "loss": 0.6583, + "step": 1288 + }, + { + "epoch": 2.819026790595954, + "grad_norm": 0.10299208015203476, + "learning_rate": 1.995133819951338e-05, + "loss": 0.6456, + "step": 1289 + }, + { + "epoch": 2.8212137780207764, + "grad_norm": 0.07383499294519424, + "learning_rate": 1.9708029197080292e-05, + "loss": 0.6713, + "step": 1290 + }, + { + "epoch": 2.823400765445599, + "grad_norm": 0.05937561020255089, + "learning_rate": 1.9464720194647197e-05, + "loss": 0.5399, + "step": 1291 + }, + { + "epoch": 2.8255877528704207, + "grad_norm": 0.10618768632411957, + "learning_rate": 1.922141119221411e-05, + "loss": 0.8412, + "step": 1292 + }, + { + "epoch": 2.8277747402952436, + "grad_norm": 0.07544979453086853, + "learning_rate": 1.897810218978102e-05, + "loss": 0.6415, + "step": 1293 + }, + { + "epoch": 2.8299617277200655, + "grad_norm": 0.0838354304432869, + "learning_rate": 1.873479318734793e-05, + "loss": 0.8247, + "step": 1294 + }, + { + "epoch": 2.832148715144888, + "grad_norm": 0.076153963804245, + "learning_rate": 1.849148418491484e-05, + "loss": 0.7141, + "step": 1295 + }, + { + "epoch": 2.8343357025697102, + "grad_norm": 0.07914629578590393, + "learning_rate": 1.824817518248175e-05, + "loss": 0.8993, + "step": 1296 + }, + { + "epoch": 2.8365226899945326, + "grad_norm": 0.07437946647405624, + "learning_rate": 1.8004866180048662e-05, + "loss": 0.6774, + "step": 1297 + }, + { + "epoch": 2.838709677419355, + "grad_norm": 0.07345810532569885, + "learning_rate": 1.776155717761557e-05, + "loss": 0.7133, + "step": 1298 + }, + { + "epoch": 2.840896664844177, + "grad_norm": 0.07759366184473038, + "learning_rate": 1.751824817518248e-05, + "loss": 0.7574, + "step": 1299 + }, + { + "epoch": 2.8430836522689997, + "grad_norm": 0.07337472587823868, + "learning_rate": 1.7274939172749388e-05, + "loss": 0.7484, + "step": 1300 + }, + { + "epoch": 2.8452706396938217, + "grad_norm": 0.08621501177549362, + "learning_rate": 1.70316301703163e-05, + "loss": 0.8488, + "step": 1301 + }, + { + "epoch": 2.847457627118644, + "grad_norm": 0.07675781100988388, + "learning_rate": 1.678832116788321e-05, + "loss": 0.8783, + "step": 1302 + }, + { + "epoch": 2.8496446145434664, + "grad_norm": 0.12718701362609863, + "learning_rate": 1.654501216545012e-05, + "loss": 0.7485, + "step": 1303 + }, + { + "epoch": 2.8518316019682888, + "grad_norm": 0.08985640853643417, + "learning_rate": 1.630170316301703e-05, + "loss": 0.7027, + "step": 1304 + }, + { + "epoch": 2.854018589393111, + "grad_norm": 0.06550630182027817, + "learning_rate": 1.605839416058394e-05, + "loss": 0.6994, + "step": 1305 + }, + { + "epoch": 2.856205576817933, + "grad_norm": 0.10890086740255356, + "learning_rate": 1.5815085158150852e-05, + "loss": 0.8489, + "step": 1306 + }, + { + "epoch": 2.8583925642427555, + "grad_norm": 0.08948428928852081, + "learning_rate": 1.557177615571776e-05, + "loss": 0.8282, + "step": 1307 + }, + { + "epoch": 2.860579551667578, + "grad_norm": 0.0745968446135521, + "learning_rate": 1.532846715328467e-05, + "loss": 0.624, + "step": 1308 + }, + { + "epoch": 2.8627665390924, + "grad_norm": 0.0969858318567276, + "learning_rate": 1.508515815085158e-05, + "loss": 0.7914, + "step": 1309 + }, + { + "epoch": 2.8649535265172226, + "grad_norm": 0.155918687582016, + "learning_rate": 1.484184914841849e-05, + "loss": 0.7577, + "step": 1310 + }, + { + "epoch": 2.867140513942045, + "grad_norm": 0.0577235221862793, + "learning_rate": 1.45985401459854e-05, + "loss": 0.5845, + "step": 1311 + }, + { + "epoch": 2.8693275013668673, + "grad_norm": 0.06959213316440582, + "learning_rate": 1.435523114355231e-05, + "loss": 0.8298, + "step": 1312 + }, + { + "epoch": 2.8715144887916892, + "grad_norm": 0.09457439184188843, + "learning_rate": 1.411192214111922e-05, + "loss": 0.8, + "step": 1313 + }, + { + "epoch": 2.8737014762165116, + "grad_norm": 0.060898009687662125, + "learning_rate": 1.386861313868613e-05, + "loss": 0.4469, + "step": 1314 + }, + { + "epoch": 2.875888463641334, + "grad_norm": 0.08560904115438461, + "learning_rate": 1.362530413625304e-05, + "loss": 0.8202, + "step": 1315 + }, + { + "epoch": 2.8780754510661564, + "grad_norm": 0.09724181145429611, + "learning_rate": 1.3381995133819952e-05, + "loss": 0.8214, + "step": 1316 + }, + { + "epoch": 2.8802624384909787, + "grad_norm": 0.08980333060026169, + "learning_rate": 1.313868613138686e-05, + "loss": 0.8663, + "step": 1317 + }, + { + "epoch": 2.882449425915801, + "grad_norm": 0.1707971841096878, + "learning_rate": 1.289537712895377e-05, + "loss": 0.7271, + "step": 1318 + }, + { + "epoch": 2.8846364133406235, + "grad_norm": 0.0753650888800621, + "learning_rate": 1.265206812652068e-05, + "loss": 0.8386, + "step": 1319 + }, + { + "epoch": 2.8868234007654454, + "grad_norm": 0.1345982551574707, + "learning_rate": 1.240875912408759e-05, + "loss": 0.8904, + "step": 1320 + }, + { + "epoch": 2.889010388190268, + "grad_norm": 0.09653545916080475, + "learning_rate": 1.21654501216545e-05, + "loss": 0.6966, + "step": 1321 + }, + { + "epoch": 2.89119737561509, + "grad_norm": 0.07534266263246536, + "learning_rate": 1.1922141119221411e-05, + "loss": 0.7287, + "step": 1322 + }, + { + "epoch": 2.8933843630399125, + "grad_norm": 0.13539449870586395, + "learning_rate": 1.167883211678832e-05, + "loss": 0.743, + "step": 1323 + }, + { + "epoch": 2.895571350464735, + "grad_norm": 0.1124727874994278, + "learning_rate": 1.143552311435523e-05, + "loss": 0.5868, + "step": 1324 + }, + { + "epoch": 2.8977583378895573, + "grad_norm": 0.11362351477146149, + "learning_rate": 1.119221411192214e-05, + "loss": 0.7735, + "step": 1325 + }, + { + "epoch": 2.8999453253143797, + "grad_norm": 0.07252976298332214, + "learning_rate": 1.0948905109489049e-05, + "loss": 0.7169, + "step": 1326 + }, + { + "epoch": 2.9021323127392016, + "grad_norm": 0.11877098679542542, + "learning_rate": 1.0705596107055961e-05, + "loss": 0.819, + "step": 1327 + }, + { + "epoch": 2.904319300164024, + "grad_norm": 0.08424267172813416, + "learning_rate": 1.0462287104622871e-05, + "loss": 0.7735, + "step": 1328 + }, + { + "epoch": 2.9065062875888463, + "grad_norm": 0.05991669371724129, + "learning_rate": 1.021897810218978e-05, + "loss": 0.6014, + "step": 1329 + }, + { + "epoch": 2.9086932750136687, + "grad_norm": 0.07034949213266373, + "learning_rate": 9.97566909975669e-06, + "loss": 0.8964, + "step": 1330 + }, + { + "epoch": 2.910880262438491, + "grad_norm": 0.07648398727178574, + "learning_rate": 9.732360097323599e-06, + "loss": 0.6859, + "step": 1331 + }, + { + "epoch": 2.9130672498633134, + "grad_norm": 0.06595247238874435, + "learning_rate": 9.48905109489051e-06, + "loss": 0.6609, + "step": 1332 + }, + { + "epoch": 2.915254237288136, + "grad_norm": 0.08915682137012482, + "learning_rate": 9.24574209245742e-06, + "loss": 0.8627, + "step": 1333 + }, + { + "epoch": 2.9174412247129577, + "grad_norm": 0.08794603496789932, + "learning_rate": 9.002433090024331e-06, + "loss": 0.8392, + "step": 1334 + }, + { + "epoch": 2.91962821213778, + "grad_norm": 0.08808921277523041, + "learning_rate": 8.75912408759124e-06, + "loss": 0.6825, + "step": 1335 + }, + { + "epoch": 2.9218151995626025, + "grad_norm": 0.09199153631925583, + "learning_rate": 8.51581508515815e-06, + "loss": 0.8378, + "step": 1336 + }, + { + "epoch": 2.924002186987425, + "grad_norm": 0.07712514698505402, + "learning_rate": 8.27250608272506e-06, + "loss": 0.7887, + "step": 1337 + }, + { + "epoch": 2.9261891744122472, + "grad_norm": 0.07735302299261093, + "learning_rate": 8.02919708029197e-06, + "loss": 0.939, + "step": 1338 + }, + { + "epoch": 2.928376161837069, + "grad_norm": 0.09705976396799088, + "learning_rate": 7.78588807785888e-06, + "loss": 0.7969, + "step": 1339 + }, + { + "epoch": 2.930563149261892, + "grad_norm": 0.06076565384864807, + "learning_rate": 7.54257907542579e-06, + "loss": 0.6617, + "step": 1340 + }, + { + "epoch": 2.932750136686714, + "grad_norm": 0.09009517729282379, + "learning_rate": 7.2992700729927e-06, + "loss": 0.7548, + "step": 1341 + }, + { + "epoch": 2.9349371241115363, + "grad_norm": 0.08613700419664383, + "learning_rate": 7.05596107055961e-06, + "loss": 0.8521, + "step": 1342 + }, + { + "epoch": 2.9371241115363587, + "grad_norm": 0.13976341485977173, + "learning_rate": 6.81265206812652e-06, + "loss": 1.0657, + "step": 1343 + }, + { + "epoch": 2.939311098961181, + "grad_norm": 0.08671582490205765, + "learning_rate": 6.56934306569343e-06, + "loss": 1.0946, + "step": 1344 + }, + { + "epoch": 2.9414980863860034, + "grad_norm": 0.10030803829431534, + "learning_rate": 6.32603406326034e-06, + "loss": 0.7802, + "step": 1345 + }, + { + "epoch": 2.9436850738108253, + "grad_norm": 0.0898522138595581, + "learning_rate": 6.08272506082725e-06, + "loss": 0.6794, + "step": 1346 + }, + { + "epoch": 2.945872061235648, + "grad_norm": 0.06457691639661789, + "learning_rate": 5.83941605839416e-06, + "loss": 0.7044, + "step": 1347 + }, + { + "epoch": 2.94805904866047, + "grad_norm": 0.08618927001953125, + "learning_rate": 5.59610705596107e-06, + "loss": 0.6227, + "step": 1348 + }, + { + "epoch": 2.9502460360852925, + "grad_norm": 0.08073528110980988, + "learning_rate": 5.3527980535279805e-06, + "loss": 0.754, + "step": 1349 + }, + { + "epoch": 2.952433023510115, + "grad_norm": 0.09046903252601624, + "learning_rate": 5.10948905109489e-06, + "loss": 0.7035, + "step": 1350 + }, + { + "epoch": 2.954620010934937, + "grad_norm": 0.08179633319377899, + "learning_rate": 4.866180048661799e-06, + "loss": 0.6391, + "step": 1351 + }, + { + "epoch": 2.9568069983597596, + "grad_norm": 0.09030507504940033, + "learning_rate": 4.62287104622871e-06, + "loss": 0.7021, + "step": 1352 + }, + { + "epoch": 2.9589939857845815, + "grad_norm": 0.096220962703228, + "learning_rate": 4.37956204379562e-06, + "loss": 0.9076, + "step": 1353 + }, + { + "epoch": 2.9611809732094043, + "grad_norm": 0.10495373606681824, + "learning_rate": 4.13625304136253e-06, + "loss": 0.8502, + "step": 1354 + }, + { + "epoch": 2.9633679606342263, + "grad_norm": 0.08202646672725677, + "learning_rate": 3.89294403892944e-06, + "loss": 0.8161, + "step": 1355 + }, + { + "epoch": 2.9655549480590486, + "grad_norm": 0.09847816824913025, + "learning_rate": 3.64963503649635e-06, + "loss": 0.898, + "step": 1356 + }, + { + "epoch": 2.967741935483871, + "grad_norm": 0.07978091388940811, + "learning_rate": 3.40632603406326e-06, + "loss": 0.794, + "step": 1357 + }, + { + "epoch": 2.9699289229086934, + "grad_norm": 0.25725698471069336, + "learning_rate": 3.16301703163017e-06, + "loss": 0.8451, + "step": 1358 + }, + { + "epoch": 2.9721159103335157, + "grad_norm": 0.09965411573648453, + "learning_rate": 2.91970802919708e-06, + "loss": 0.8031, + "step": 1359 + }, + { + "epoch": 2.9743028977583377, + "grad_norm": 0.0689539760351181, + "learning_rate": 2.6763990267639902e-06, + "loss": 0.6315, + "step": 1360 + }, + { + "epoch": 2.97648988518316, + "grad_norm": 0.09845805168151855, + "learning_rate": 2.4330900243308996e-06, + "loss": 0.7888, + "step": 1361 + }, + { + "epoch": 2.9786768726079824, + "grad_norm": 0.07295335829257965, + "learning_rate": 2.18978102189781e-06, + "loss": 0.6602, + "step": 1362 + }, + { + "epoch": 2.980863860032805, + "grad_norm": 0.06722357869148254, + "learning_rate": 1.94647201946472e-06, + "loss": 0.7017, + "step": 1363 + }, + { + "epoch": 2.983050847457627, + "grad_norm": 0.07209401577711105, + "learning_rate": 1.70316301703163e-06, + "loss": 0.9256, + "step": 1364 + }, + { + "epoch": 2.9852378348824495, + "grad_norm": 0.08698428422212601, + "learning_rate": 1.45985401459854e-06, + "loss": 0.8508, + "step": 1365 + }, + { + "epoch": 2.987424822307272, + "grad_norm": 0.06862039119005203, + "learning_rate": 1.2165450121654498e-06, + "loss": 0.6644, + "step": 1366 + }, + { + "epoch": 2.989611809732094, + "grad_norm": 0.0893293023109436, + "learning_rate": 9.7323600973236e-07, + "loss": 0.8648, + "step": 1367 + }, + { + "epoch": 2.991798797156916, + "grad_norm": 0.13565179705619812, + "learning_rate": 7.2992700729927e-07, + "loss": 0.8965, + "step": 1368 + }, + { + "epoch": 2.9939857845817386, + "grad_norm": 0.07138823717832565, + "learning_rate": 4.8661800486618e-07, + "loss": 0.7019, + "step": 1369 + }, + { + "epoch": 2.996172772006561, + "grad_norm": 0.08372784405946732, + "learning_rate": 2.4330900243309e-07, + "loss": 0.8836, + "step": 1370 + }, + { + "epoch": 2.9983597594313833, + "grad_norm": 0.07442890852689743, + "learning_rate": 0.0, + "loss": 0.668, + "step": 1371 + }, + { + "epoch": 2.9983597594313833, + "step": 1371, + "total_flos": 4.320128650843259e+17, + "train_loss": 0.7744274233745712, + "train_runtime": 1911.3984, + "train_samples_per_second": 11.483, + "train_steps_per_second": 0.717 + } + ], + "logging_steps": 1.0, + "max_steps": 1371, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 4.320128650843259e+17, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}