diff --git "a/tmp-checkpoint-40467/trainer_state.json" "b/tmp-checkpoint-40467/trainer_state.json" new file mode 100644--- /dev/null +++ "b/tmp-checkpoint-40467/trainer_state.json" @@ -0,0 +1,24717 @@ +{ + "best_metric": 0.9808588624000549, + "best_model_checkpoint": "swinv2-base-patch4-window12-192-22k-ConcreteClassifier-PVT\\checkpoint-1927", + "epoch": 21.0, + "eval_steps": 500, + "global_step": 40467, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.01, + "learning_rate": 1.7298045320878742e-06, + "loss": 2.3066, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 3.4596090641757485e-06, + "loss": 2.131, + "step": 20 + }, + { + "epoch": 0.02, + "learning_rate": 5.1894135962636225e-06, + "loss": 2.0104, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 6.919218128351497e-06, + "loss": 1.8938, + "step": 40 + }, + { + "epoch": 0.03, + "learning_rate": 8.649022660439371e-06, + "loss": 1.7743, + "step": 50 + }, + { + "epoch": 0.03, + "learning_rate": 1.0378827192527245e-05, + "loss": 1.73, + "step": 60 + }, + { + "epoch": 0.04, + "learning_rate": 1.2108631724615119e-05, + "loss": 1.6552, + "step": 70 + }, + { + "epoch": 0.04, + "learning_rate": 1.3838436256702994e-05, + "loss": 1.4119, + "step": 80 + }, + { + "epoch": 0.05, + "learning_rate": 1.5568240788790867e-05, + "loss": 1.1716, + "step": 90 + }, + { + "epoch": 0.05, + "learning_rate": 1.7298045320878743e-05, + "loss": 1.2431, + "step": 100 + }, + { + "epoch": 0.06, + "learning_rate": 1.9027849852966615e-05, + "loss": 1.1115, + "step": 110 + }, + { + "epoch": 0.06, + "learning_rate": 2.075765438505449e-05, + "loss": 1.0365, + "step": 120 + }, + { + "epoch": 0.07, + "learning_rate": 2.2487458917142365e-05, + "loss": 1.2179, + "step": 130 + }, + { + "epoch": 0.07, + "learning_rate": 2.4217263449230237e-05, + "loss": 1.1192, + "step": 140 + }, + { + "epoch": 0.08, + "learning_rate": 2.5947067981318112e-05, + "loss": 0.8697, + "step": 150 + }, + { + "epoch": 0.08, + "learning_rate": 2.7676872513405988e-05, + "loss": 1.0286, + "step": 160 + }, + { + "epoch": 0.09, + "learning_rate": 2.940667704549386e-05, + "loss": 0.9186, + "step": 170 + }, + { + "epoch": 0.09, + "learning_rate": 3.1136481577581735e-05, + "loss": 1.0909, + "step": 180 + }, + { + "epoch": 0.1, + "learning_rate": 3.286628610966961e-05, + "loss": 1.0519, + "step": 190 + }, + { + "epoch": 0.1, + "learning_rate": 3.4596090641757486e-05, + "loss": 1.1043, + "step": 200 + }, + { + "epoch": 0.11, + "learning_rate": 3.632589517384536e-05, + "loss": 0.8634, + "step": 210 + }, + { + "epoch": 0.11, + "learning_rate": 3.805569970593323e-05, + "loss": 0.86, + "step": 220 + }, + { + "epoch": 0.12, + "learning_rate": 3.97855042380211e-05, + "loss": 0.8325, + "step": 230 + }, + { + "epoch": 0.12, + "learning_rate": 4.151530877010898e-05, + "loss": 1.1083, + "step": 240 + }, + { + "epoch": 0.13, + "learning_rate": 4.324511330219685e-05, + "loss": 1.0759, + "step": 250 + }, + { + "epoch": 0.13, + "learning_rate": 4.497491783428473e-05, + "loss": 0.9178, + "step": 260 + }, + { + "epoch": 0.14, + "learning_rate": 4.67047223663726e-05, + "loss": 1.1132, + "step": 270 + }, + { + "epoch": 0.15, + "learning_rate": 4.8434526898460474e-05, + "loss": 1.0484, + "step": 280 + }, + { + "epoch": 0.15, + "learning_rate": 5.0164331430548346e-05, + "loss": 0.8629, + "step": 290 + }, + { + "epoch": 0.16, + "learning_rate": 5.1894135962636225e-05, + "loss": 0.6426, + "step": 300 + }, + { + "epoch": 0.16, + "learning_rate": 5.36239404947241e-05, + "loss": 1.0117, + "step": 310 + }, + { + "epoch": 0.17, + "learning_rate": 5.5353745026811976e-05, + "loss": 0.9769, + "step": 320 + }, + { + "epoch": 0.17, + "learning_rate": 5.708354955889985e-05, + "loss": 0.9459, + "step": 330 + }, + { + "epoch": 0.18, + "learning_rate": 5.881335409098772e-05, + "loss": 1.3208, + "step": 340 + }, + { + "epoch": 0.18, + "learning_rate": 6.054315862307559e-05, + "loss": 0.9631, + "step": 350 + }, + { + "epoch": 0.19, + "learning_rate": 6.227296315516347e-05, + "loss": 1.3533, + "step": 360 + }, + { + "epoch": 0.19, + "learning_rate": 6.400276768725135e-05, + "loss": 1.2228, + "step": 370 + }, + { + "epoch": 0.2, + "learning_rate": 6.573257221933921e-05, + "loss": 0.9195, + "step": 380 + }, + { + "epoch": 0.2, + "learning_rate": 6.746237675142709e-05, + "loss": 1.0466, + "step": 390 + }, + { + "epoch": 0.21, + "learning_rate": 6.919218128351497e-05, + "loss": 0.6537, + "step": 400 + }, + { + "epoch": 0.21, + "learning_rate": 7.092198581560285e-05, + "loss": 1.0766, + "step": 410 + }, + { + "epoch": 0.22, + "learning_rate": 7.265179034769071e-05, + "loss": 1.3196, + "step": 420 + }, + { + "epoch": 0.22, + "learning_rate": 7.438159487977858e-05, + "loss": 1.1902, + "step": 430 + }, + { + "epoch": 0.23, + "learning_rate": 7.611139941186646e-05, + "loss": 0.8251, + "step": 440 + }, + { + "epoch": 0.23, + "learning_rate": 7.784120394395434e-05, + "loss": 0.6196, + "step": 450 + }, + { + "epoch": 0.24, + "learning_rate": 7.95710084760422e-05, + "loss": 1.1941, + "step": 460 + }, + { + "epoch": 0.24, + "learning_rate": 8.130081300813008e-05, + "loss": 0.9509, + "step": 470 + }, + { + "epoch": 0.25, + "learning_rate": 8.303061754021796e-05, + "loss": 1.0669, + "step": 480 + }, + { + "epoch": 0.25, + "learning_rate": 8.476042207230583e-05, + "loss": 0.8493, + "step": 490 + }, + { + "epoch": 0.26, + "learning_rate": 8.64902266043937e-05, + "loss": 1.0381, + "step": 500 + }, + { + "epoch": 0.26, + "learning_rate": 8.822003113648158e-05, + "loss": 0.6853, + "step": 510 + }, + { + "epoch": 0.27, + "learning_rate": 8.994983566856946e-05, + "loss": 1.0025, + "step": 520 + }, + { + "epoch": 0.28, + "learning_rate": 9.167964020065733e-05, + "loss": 0.9758, + "step": 530 + }, + { + "epoch": 0.28, + "learning_rate": 9.34094447327452e-05, + "loss": 1.2263, + "step": 540 + }, + { + "epoch": 0.29, + "learning_rate": 9.513924926483307e-05, + "loss": 1.0245, + "step": 550 + }, + { + "epoch": 0.29, + "learning_rate": 9.686905379692095e-05, + "loss": 0.9136, + "step": 560 + }, + { + "epoch": 0.3, + "learning_rate": 9.859885832900881e-05, + "loss": 1.0586, + "step": 570 + }, + { + "epoch": 0.3, + "learning_rate": 0.00010032866286109669, + "loss": 1.029, + "step": 580 + }, + { + "epoch": 0.31, + "learning_rate": 0.00010205846739318457, + "loss": 0.9973, + "step": 590 + }, + { + "epoch": 0.31, + "learning_rate": 0.00010378827192527245, + "loss": 0.7652, + "step": 600 + }, + { + "epoch": 0.32, + "learning_rate": 0.00010551807645736032, + "loss": 1.2198, + "step": 610 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001072478809894482, + "loss": 1.3727, + "step": 620 + }, + { + "epoch": 0.33, + "learning_rate": 0.00010897768552153607, + "loss": 0.9157, + "step": 630 + }, + { + "epoch": 0.33, + "learning_rate": 0.00011070749005362395, + "loss": 1.4063, + "step": 640 + }, + { + "epoch": 0.34, + "learning_rate": 0.00011243729458571182, + "loss": 0.9697, + "step": 650 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001141670991177997, + "loss": 1.0678, + "step": 660 + }, + { + "epoch": 0.35, + "learning_rate": 0.00011589690364988756, + "loss": 1.1373, + "step": 670 + }, + { + "epoch": 0.35, + "learning_rate": 0.00011762670818197544, + "loss": 1.1127, + "step": 680 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001193565127140633, + "loss": 0.8828, + "step": 690 + }, + { + "epoch": 0.36, + "learning_rate": 0.00012108631724615118, + "loss": 1.0497, + "step": 700 + }, + { + "epoch": 0.37, + "learning_rate": 0.00012281612177823906, + "loss": 1.0252, + "step": 710 + }, + { + "epoch": 0.37, + "learning_rate": 0.00012454592631032694, + "loss": 1.0175, + "step": 720 + }, + { + "epoch": 0.38, + "learning_rate": 0.00012627573084241482, + "loss": 1.1303, + "step": 730 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001280055353745027, + "loss": 0.8751, + "step": 740 + }, + { + "epoch": 0.39, + "learning_rate": 0.00012973533990659055, + "loss": 0.9646, + "step": 750 + }, + { + "epoch": 0.39, + "learning_rate": 0.00013146514443867843, + "loss": 1.0412, + "step": 760 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001331949489707663, + "loss": 1.3243, + "step": 770 + }, + { + "epoch": 0.4, + "learning_rate": 0.00013492475350285418, + "loss": 1.0182, + "step": 780 + }, + { + "epoch": 0.41, + "learning_rate": 0.00013665455803494206, + "loss": 1.3814, + "step": 790 + }, + { + "epoch": 0.42, + "learning_rate": 0.00013838436256702994, + "loss": 0.9131, + "step": 800 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014011416709911782, + "loss": 1.0305, + "step": 810 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001418439716312057, + "loss": 0.9296, + "step": 820 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014357377616329355, + "loss": 1.1304, + "step": 830 + }, + { + "epoch": 0.44, + "learning_rate": 0.00014530358069538143, + "loss": 0.964, + "step": 840 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001470333852274693, + "loss": 0.9223, + "step": 850 + }, + { + "epoch": 0.45, + "learning_rate": 0.00014876318975955716, + "loss": 0.8419, + "step": 860 + }, + { + "epoch": 0.45, + "learning_rate": 0.00015049299429164504, + "loss": 0.7896, + "step": 870 + }, + { + "epoch": 0.46, + "learning_rate": 0.00015222279882373292, + "loss": 1.2753, + "step": 880 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001539526033558208, + "loss": 1.01, + "step": 890 + }, + { + "epoch": 0.47, + "learning_rate": 0.00015568240788790867, + "loss": 0.8729, + "step": 900 + }, + { + "epoch": 0.47, + "learning_rate": 0.00015741221241999653, + "loss": 1.2337, + "step": 910 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001591420169520844, + "loss": 1.0598, + "step": 920 + }, + { + "epoch": 0.48, + "learning_rate": 0.00016087182148417228, + "loss": 0.9216, + "step": 930 + }, + { + "epoch": 0.49, + "learning_rate": 0.00016260162601626016, + "loss": 1.2614, + "step": 940 + }, + { + "epoch": 0.49, + "learning_rate": 0.00016433143054834804, + "loss": 0.9602, + "step": 950 + }, + { + "epoch": 0.5, + "learning_rate": 0.00016606123508043592, + "loss": 1.1126, + "step": 960 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001677910396125238, + "loss": 0.7103, + "step": 970 + }, + { + "epoch": 0.51, + "learning_rate": 0.00016952084414461165, + "loss": 1.0462, + "step": 980 + }, + { + "epoch": 0.51, + "learning_rate": 0.00017125064867669953, + "loss": 0.9843, + "step": 990 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001729804532087874, + "loss": 1.2419, + "step": 1000 + }, + { + "epoch": 0.52, + "learning_rate": 0.00017471025774087529, + "loss": 1.3823, + "step": 1010 + }, + { + "epoch": 0.53, + "learning_rate": 0.00017644006227296316, + "loss": 0.9726, + "step": 1020 + }, + { + "epoch": 0.53, + "learning_rate": 0.00017816986680505104, + "loss": 1.1238, + "step": 1030 + }, + { + "epoch": 0.54, + "learning_rate": 0.00017989967133713892, + "loss": 0.934, + "step": 1040 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001816294758692268, + "loss": 1.5093, + "step": 1050 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018335928040131465, + "loss": 1.0234, + "step": 1060 + }, + { + "epoch": 0.56, + "learning_rate": 0.00018508908493340253, + "loss": 0.7998, + "step": 1070 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001868188894654904, + "loss": 1.0191, + "step": 1080 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001885486939975783, + "loss": 1.1171, + "step": 1090 + }, + { + "epoch": 0.57, + "learning_rate": 0.00019027849852966614, + "loss": 1.1417, + "step": 1100 + }, + { + "epoch": 0.58, + "learning_rate": 0.00019200830306175402, + "loss": 0.9539, + "step": 1110 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001937381075938419, + "loss": 1.0955, + "step": 1120 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019546791212592978, + "loss": 1.3748, + "step": 1130 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019719771665801763, + "loss": 1.1126, + "step": 1140 + }, + { + "epoch": 0.6, + "learning_rate": 0.0001989275211901055, + "loss": 1.0674, + "step": 1150 + }, + { + "epoch": 0.6, + "learning_rate": 0.00020065732572219339, + "loss": 1.1236, + "step": 1160 + }, + { + "epoch": 0.61, + "learning_rate": 0.00020238713025428126, + "loss": 1.0824, + "step": 1170 + }, + { + "epoch": 0.61, + "learning_rate": 0.00020411693478636914, + "loss": 1.1181, + "step": 1180 + }, + { + "epoch": 0.62, + "learning_rate": 0.00020584673931845702, + "loss": 1.0881, + "step": 1190 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002075765438505449, + "loss": 1.1874, + "step": 1200 + }, + { + "epoch": 0.63, + "learning_rate": 0.00020930634838263278, + "loss": 1.0377, + "step": 1210 + }, + { + "epoch": 0.63, + "learning_rate": 0.00021103615291472063, + "loss": 0.8027, + "step": 1220 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002127659574468085, + "loss": 0.8027, + "step": 1230 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002144957619788964, + "loss": 1.2303, + "step": 1240 + }, + { + "epoch": 0.65, + "learning_rate": 0.00021622556651098427, + "loss": 1.2914, + "step": 1250 + }, + { + "epoch": 0.65, + "learning_rate": 0.00021795537104307214, + "loss": 1.2018, + "step": 1260 + }, + { + "epoch": 0.66, + "learning_rate": 0.00021968517557516002, + "loss": 0.994, + "step": 1270 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002214149801072479, + "loss": 1.1917, + "step": 1280 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022314478463933578, + "loss": 0.9846, + "step": 1290 + }, + { + "epoch": 0.67, + "learning_rate": 0.00022487458917142363, + "loss": 1.1561, + "step": 1300 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002266043937035115, + "loss": 1.3345, + "step": 1310 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002283341982355994, + "loss": 1.1663, + "step": 1320 + }, + { + "epoch": 0.69, + "learning_rate": 0.00023006400276768727, + "loss": 1.0486, + "step": 1330 + }, + { + "epoch": 0.7, + "learning_rate": 0.00023179380729977512, + "loss": 1.2478, + "step": 1340 + }, + { + "epoch": 0.7, + "learning_rate": 0.000233523611831863, + "loss": 1.1334, + "step": 1350 + }, + { + "epoch": 0.71, + "learning_rate": 0.00023525341636395088, + "loss": 1.1248, + "step": 1360 + }, + { + "epoch": 0.71, + "learning_rate": 0.00023698322089603876, + "loss": 1.2183, + "step": 1370 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002387130254281266, + "loss": 1.4618, + "step": 1380 + }, + { + "epoch": 0.72, + "learning_rate": 0.00024044282996021449, + "loss": 1.5796, + "step": 1390 + }, + { + "epoch": 0.73, + "learning_rate": 0.00024217263449230237, + "loss": 1.4877, + "step": 1400 + }, + { + "epoch": 0.73, + "learning_rate": 0.00024390243902439024, + "loss": 0.9612, + "step": 1410 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002456322435564781, + "loss": 1.3634, + "step": 1420 + }, + { + "epoch": 0.74, + "learning_rate": 0.000247362048088566, + "loss": 1.1377, + "step": 1430 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002490918526206539, + "loss": 1.1365, + "step": 1440 + }, + { + "epoch": 0.75, + "learning_rate": 0.00025082165715274176, + "loss": 1.2433, + "step": 1450 + }, + { + "epoch": 0.76, + "learning_rate": 0.00025255146168482964, + "loss": 1.2164, + "step": 1460 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002542812662169175, + "loss": 1.0668, + "step": 1470 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002560110707490054, + "loss": 1.174, + "step": 1480 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002577408752810932, + "loss": 1.1307, + "step": 1490 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002594706798131811, + "loss": 1.2406, + "step": 1500 + }, + { + "epoch": 0.78, + "learning_rate": 0.000261200484345269, + "loss": 1.2542, + "step": 1510 + }, + { + "epoch": 0.79, + "learning_rate": 0.00026293028887735685, + "loss": 0.9126, + "step": 1520 + }, + { + "epoch": 0.79, + "learning_rate": 0.00026466009340944473, + "loss": 1.1105, + "step": 1530 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002663898979415326, + "loss": 0.8491, + "step": 1540 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002681197024736205, + "loss": 1.4498, + "step": 1550 + }, + { + "epoch": 0.81, + "learning_rate": 0.00026984950700570837, + "loss": 1.3299, + "step": 1560 + }, + { + "epoch": 0.81, + "learning_rate": 0.00027157931153779625, + "loss": 1.2222, + "step": 1570 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002733091160698841, + "loss": 0.9812, + "step": 1580 + }, + { + "epoch": 0.83, + "learning_rate": 0.000275038920601972, + "loss": 1.2824, + "step": 1590 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002767687251340599, + "loss": 1.1105, + "step": 1600 + }, + { + "epoch": 0.84, + "learning_rate": 0.00027849852966614776, + "loss": 1.0978, + "step": 1610 + }, + { + "epoch": 0.84, + "learning_rate": 0.00028022833419823564, + "loss": 1.1159, + "step": 1620 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002819581387303235, + "loss": 1.1441, + "step": 1630 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002836879432624114, + "loss": 1.2566, + "step": 1640 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002854177477944992, + "loss": 1.1327, + "step": 1650 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002871475523265871, + "loss": 1.232, + "step": 1660 + }, + { + "epoch": 0.87, + "learning_rate": 0.000288877356858675, + "loss": 1.0974, + "step": 1670 + }, + { + "epoch": 0.87, + "learning_rate": 0.00029060716139076286, + "loss": 1.0083, + "step": 1680 + }, + { + "epoch": 0.88, + "learning_rate": 0.00029233696592285074, + "loss": 1.5513, + "step": 1690 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002940667704549386, + "loss": 1.3731, + "step": 1700 + }, + { + "epoch": 0.89, + "learning_rate": 0.00029579657498702644, + "loss": 1.1877, + "step": 1710 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002975263795191143, + "loss": 1.199, + "step": 1720 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002992561840512022, + "loss": 1.4768, + "step": 1730 + }, + { + "epoch": 0.9, + "learning_rate": 0.0003009859885832901, + "loss": 1.7352, + "step": 1740 + }, + { + "epoch": 0.91, + "learning_rate": 0.00030271579311537796, + "loss": 1.3652, + "step": 1750 + }, + { + "epoch": 0.91, + "learning_rate": 0.00030444559764746583, + "loss": 1.1335, + "step": 1760 + }, + { + "epoch": 0.92, + "learning_rate": 0.0003061754021795537, + "loss": 1.2259, + "step": 1770 + }, + { + "epoch": 0.92, + "learning_rate": 0.0003079052067116416, + "loss": 1.3024, + "step": 1780 + }, + { + "epoch": 0.93, + "learning_rate": 0.00030963501124372947, + "loss": 1.4433, + "step": 1790 + }, + { + "epoch": 0.93, + "learning_rate": 0.00031136481577581735, + "loss": 1.1668, + "step": 1800 + }, + { + "epoch": 0.94, + "learning_rate": 0.0003130946203079052, + "loss": 1.3298, + "step": 1810 + }, + { + "epoch": 0.94, + "learning_rate": 0.00031482442483999305, + "loss": 1.2601, + "step": 1820 + }, + { + "epoch": 0.95, + "learning_rate": 0.00031655422937208093, + "loss": 1.1204, + "step": 1830 + }, + { + "epoch": 0.95, + "learning_rate": 0.0003182840339041688, + "loss": 1.2142, + "step": 1840 + }, + { + "epoch": 0.96, + "learning_rate": 0.0003200138384362567, + "loss": 0.93, + "step": 1850 + }, + { + "epoch": 0.97, + "learning_rate": 0.00032174364296834457, + "loss": 1.4335, + "step": 1860 + }, + { + "epoch": 0.97, + "learning_rate": 0.00032347344750043245, + "loss": 1.3081, + "step": 1870 + }, + { + "epoch": 0.98, + "learning_rate": 0.0003252032520325203, + "loss": 1.2692, + "step": 1880 + }, + { + "epoch": 0.98, + "learning_rate": 0.0003269330565646082, + "loss": 1.2172, + "step": 1890 + }, + { + "epoch": 0.99, + "learning_rate": 0.0003286628610966961, + "loss": 1.2254, + "step": 1900 + }, + { + "epoch": 0.99, + "learning_rate": 0.00033039266562878396, + "loss": 1.1448, + "step": 1910 + }, + { + "epoch": 1.0, + "learning_rate": 0.00033212247016087184, + "loss": 1.2473, + "step": 1920 + }, + { + "epoch": 1.0, + "eval_accuracy": { + "accuracy": 0.5909208819714656 + }, + "eval_f1": { + "f1": 0.5910435702573883 + }, + "eval_loss": 0.9808588624000549, + "eval_precision": { + "precision": 0.6661654194259725 + }, + "eval_recall": { + "recall": 0.6016064778916844 + }, + "eval_runtime": 243.6104, + "eval_samples_per_second": 15.824, + "eval_steps_per_second": 7.914, + "step": 1927 + }, + { + "epoch": 1.0, + "learning_rate": 0.0003338522746929597, + "loss": 1.1687, + "step": 1930 + }, + { + "epoch": 1.01, + "learning_rate": 0.0003355820792250476, + "loss": 1.4294, + "step": 1940 + }, + { + "epoch": 1.01, + "learning_rate": 0.0003373118837571355, + "loss": 1.2866, + "step": 1950 + }, + { + "epoch": 1.02, + "learning_rate": 0.0003390416882892233, + "loss": 1.0858, + "step": 1960 + }, + { + "epoch": 1.02, + "learning_rate": 0.0003407714928213112, + "loss": 1.1465, + "step": 1970 + }, + { + "epoch": 1.03, + "learning_rate": 0.00034250129735339906, + "loss": 1.2876, + "step": 1980 + }, + { + "epoch": 1.03, + "learning_rate": 0.00034423110188548694, + "loss": 1.0266, + "step": 1990 + }, + { + "epoch": 1.04, + "learning_rate": 0.0003459609064175748, + "loss": 1.1494, + "step": 2000 + }, + { + "epoch": 1.04, + "learning_rate": 0.0003476907109496627, + "loss": 1.5705, + "step": 2010 + }, + { + "epoch": 1.05, + "learning_rate": 0.00034942051548175057, + "loss": 0.9916, + "step": 2020 + }, + { + "epoch": 1.05, + "learning_rate": 0.00035115032001383845, + "loss": 1.2183, + "step": 2030 + }, + { + "epoch": 1.06, + "learning_rate": 0.00035288012454592633, + "loss": 1.1186, + "step": 2040 + }, + { + "epoch": 1.06, + "learning_rate": 0.0003546099290780142, + "loss": 1.1386, + "step": 2050 + }, + { + "epoch": 1.07, + "learning_rate": 0.0003563397336101021, + "loss": 1.413, + "step": 2060 + }, + { + "epoch": 1.07, + "learning_rate": 0.00035806953814218997, + "loss": 1.4434, + "step": 2070 + }, + { + "epoch": 1.08, + "learning_rate": 0.00035979934267427784, + "loss": 1.3144, + "step": 2080 + }, + { + "epoch": 1.08, + "learning_rate": 0.0003615291472063657, + "loss": 1.4108, + "step": 2090 + }, + { + "epoch": 1.09, + "learning_rate": 0.0003632589517384536, + "loss": 1.2305, + "step": 2100 + }, + { + "epoch": 1.09, + "learning_rate": 0.0003649887562705415, + "loss": 1.2335, + "step": 2110 + }, + { + "epoch": 1.1, + "learning_rate": 0.0003667185608026293, + "loss": 1.3617, + "step": 2120 + }, + { + "epoch": 1.11, + "learning_rate": 0.0003684483653347172, + "loss": 1.1457, + "step": 2130 + }, + { + "epoch": 1.11, + "learning_rate": 0.00037017816986680506, + "loss": 1.0253, + "step": 2140 + }, + { + "epoch": 1.12, + "learning_rate": 0.00037190797439889294, + "loss": 1.1486, + "step": 2150 + }, + { + "epoch": 1.12, + "learning_rate": 0.0003736377789309808, + "loss": 1.2603, + "step": 2160 + }, + { + "epoch": 1.13, + "learning_rate": 0.0003753675834630687, + "loss": 1.25, + "step": 2170 + }, + { + "epoch": 1.13, + "learning_rate": 0.0003770973879951566, + "loss": 1.5531, + "step": 2180 + }, + { + "epoch": 1.14, + "learning_rate": 0.0003788271925272444, + "loss": 1.3442, + "step": 2190 + }, + { + "epoch": 1.14, + "learning_rate": 0.0003805569970593323, + "loss": 1.1317, + "step": 2200 + }, + { + "epoch": 1.15, + "learning_rate": 0.00038228680159142016, + "loss": 1.3271, + "step": 2210 + }, + { + "epoch": 1.15, + "learning_rate": 0.00038401660612350804, + "loss": 1.3165, + "step": 2220 + }, + { + "epoch": 1.16, + "learning_rate": 0.0003857464106555959, + "loss": 1.2377, + "step": 2230 + }, + { + "epoch": 1.16, + "learning_rate": 0.0003874762151876838, + "loss": 1.2677, + "step": 2240 + }, + { + "epoch": 1.17, + "learning_rate": 0.0003892060197197717, + "loss": 1.2756, + "step": 2250 + }, + { + "epoch": 1.17, + "learning_rate": 0.00039093582425185955, + "loss": 1.0193, + "step": 2260 + }, + { + "epoch": 1.18, + "learning_rate": 0.00039266562878394743, + "loss": 1.239, + "step": 2270 + }, + { + "epoch": 1.18, + "learning_rate": 0.00039439543331603526, + "loss": 1.6044, + "step": 2280 + }, + { + "epoch": 1.19, + "learning_rate": 0.00039612523784812313, + "loss": 1.2396, + "step": 2290 + }, + { + "epoch": 1.19, + "learning_rate": 0.000397855042380211, + "loss": 1.0345, + "step": 2300 + }, + { + "epoch": 1.2, + "learning_rate": 0.0003995848469122989, + "loss": 1.3125, + "step": 2310 + }, + { + "epoch": 1.2, + "learning_rate": 0.00040131465144438677, + "loss": 1.4382, + "step": 2320 + }, + { + "epoch": 1.21, + "learning_rate": 0.00040304445597647465, + "loss": 1.1232, + "step": 2330 + }, + { + "epoch": 1.21, + "learning_rate": 0.00040477426050856253, + "loss": 1.3415, + "step": 2340 + }, + { + "epoch": 1.22, + "learning_rate": 0.0004065040650406504, + "loss": 1.3517, + "step": 2350 + }, + { + "epoch": 1.22, + "learning_rate": 0.0004082338695727383, + "loss": 1.1871, + "step": 2360 + }, + { + "epoch": 1.23, + "learning_rate": 0.00040996367410482616, + "loss": 1.541, + "step": 2370 + }, + { + "epoch": 1.24, + "learning_rate": 0.00041169347863691404, + "loss": 1.0871, + "step": 2380 + }, + { + "epoch": 1.24, + "learning_rate": 0.0004134232831690019, + "loss": 1.0727, + "step": 2390 + }, + { + "epoch": 1.25, + "learning_rate": 0.0004151530877010898, + "loss": 1.2664, + "step": 2400 + }, + { + "epoch": 1.25, + "learning_rate": 0.0004168828922331777, + "loss": 0.9518, + "step": 2410 + }, + { + "epoch": 1.26, + "learning_rate": 0.00041861269676526556, + "loss": 1.5851, + "step": 2420 + }, + { + "epoch": 1.26, + "learning_rate": 0.0004203425012973534, + "loss": 1.3433, + "step": 2430 + }, + { + "epoch": 1.27, + "learning_rate": 0.00042207230582944126, + "loss": 1.1357, + "step": 2440 + }, + { + "epoch": 1.27, + "learning_rate": 0.00042380211036152914, + "loss": 1.3124, + "step": 2450 + }, + { + "epoch": 1.28, + "learning_rate": 0.000425531914893617, + "loss": 1.3198, + "step": 2460 + }, + { + "epoch": 1.28, + "learning_rate": 0.0004272617194257049, + "loss": 1.31, + "step": 2470 + }, + { + "epoch": 1.29, + "learning_rate": 0.0004289915239577928, + "loss": 1.2563, + "step": 2480 + }, + { + "epoch": 1.29, + "learning_rate": 0.00043072132848988065, + "loss": 1.2553, + "step": 2490 + }, + { + "epoch": 1.3, + "learning_rate": 0.00043245113302196853, + "loss": 1.3314, + "step": 2500 + }, + { + "epoch": 1.3, + "learning_rate": 0.0004341809375540564, + "loss": 1.8077, + "step": 2510 + }, + { + "epoch": 1.31, + "learning_rate": 0.0004359107420861443, + "loss": 1.7739, + "step": 2520 + }, + { + "epoch": 1.31, + "learning_rate": 0.00043764054661823217, + "loss": 1.3835, + "step": 2530 + }, + { + "epoch": 1.32, + "learning_rate": 0.00043937035115032005, + "loss": 1.3689, + "step": 2540 + }, + { + "epoch": 1.32, + "learning_rate": 0.0004411001556824079, + "loss": 1.4259, + "step": 2550 + }, + { + "epoch": 1.33, + "learning_rate": 0.0004428299602144958, + "loss": 1.0997, + "step": 2560 + }, + { + "epoch": 1.33, + "learning_rate": 0.0004445597647465837, + "loss": 0.944, + "step": 2570 + }, + { + "epoch": 1.34, + "learning_rate": 0.00044628956927867156, + "loss": 1.431, + "step": 2580 + }, + { + "epoch": 1.34, + "learning_rate": 0.0004480193738107594, + "loss": 1.492, + "step": 2590 + }, + { + "epoch": 1.35, + "learning_rate": 0.00044974917834284726, + "loss": 1.0205, + "step": 2600 + }, + { + "epoch": 1.35, + "learning_rate": 0.00045147898287493514, + "loss": 1.2334, + "step": 2610 + }, + { + "epoch": 1.36, + "learning_rate": 0.000453208787407023, + "loss": 1.0434, + "step": 2620 + }, + { + "epoch": 1.36, + "learning_rate": 0.0004549385919391109, + "loss": 1.4912, + "step": 2630 + }, + { + "epoch": 1.37, + "learning_rate": 0.0004566683964711988, + "loss": 1.2939, + "step": 2640 + }, + { + "epoch": 1.38, + "learning_rate": 0.00045839820100328666, + "loss": 1.0389, + "step": 2650 + }, + { + "epoch": 1.38, + "learning_rate": 0.00046012800553537454, + "loss": 1.1925, + "step": 2660 + }, + { + "epoch": 1.39, + "learning_rate": 0.0004618578100674624, + "loss": 1.5455, + "step": 2670 + }, + { + "epoch": 1.39, + "learning_rate": 0.00046358761459955024, + "loss": 1.2916, + "step": 2680 + }, + { + "epoch": 1.4, + "learning_rate": 0.0004653174191316381, + "loss": 1.253, + "step": 2690 + }, + { + "epoch": 1.4, + "learning_rate": 0.000467047223663726, + "loss": 1.377, + "step": 2700 + }, + { + "epoch": 1.41, + "learning_rate": 0.0004687770281958139, + "loss": 1.4184, + "step": 2710 + }, + { + "epoch": 1.41, + "learning_rate": 0.00047050683272790175, + "loss": 1.3838, + "step": 2720 + }, + { + "epoch": 1.42, + "learning_rate": 0.00047223663725998963, + "loss": 1.1912, + "step": 2730 + }, + { + "epoch": 1.42, + "learning_rate": 0.0004739664417920775, + "loss": 1.0304, + "step": 2740 + }, + { + "epoch": 1.43, + "learning_rate": 0.00047569624632416534, + "loss": 1.3583, + "step": 2750 + }, + { + "epoch": 1.43, + "learning_rate": 0.0004774260508562532, + "loss": 1.3856, + "step": 2760 + }, + { + "epoch": 1.44, + "learning_rate": 0.0004791558553883411, + "loss": 1.5254, + "step": 2770 + }, + { + "epoch": 1.44, + "learning_rate": 0.00048088565992042897, + "loss": 1.2068, + "step": 2780 + }, + { + "epoch": 1.45, + "learning_rate": 0.00048261546445251685, + "loss": 1.3795, + "step": 2790 + }, + { + "epoch": 1.45, + "learning_rate": 0.00048434526898460473, + "loss": 1.5103, + "step": 2800 + }, + { + "epoch": 1.46, + "learning_rate": 0.0004860750735166926, + "loss": 1.6531, + "step": 2810 + }, + { + "epoch": 1.46, + "learning_rate": 0.0004878048780487805, + "loss": 1.3675, + "step": 2820 + }, + { + "epoch": 1.47, + "learning_rate": 0.0004895346825808684, + "loss": 1.6244, + "step": 2830 + }, + { + "epoch": 1.47, + "learning_rate": 0.0004912644871129562, + "loss": 1.8395, + "step": 2840 + }, + { + "epoch": 1.48, + "learning_rate": 0.0004929942916450441, + "loss": 1.6552, + "step": 2850 + }, + { + "epoch": 1.48, + "learning_rate": 0.000494724096177132, + "loss": 1.6432, + "step": 2860 + }, + { + "epoch": 1.49, + "learning_rate": 0.0004964539007092199, + "loss": 1.4839, + "step": 2870 + }, + { + "epoch": 1.49, + "learning_rate": 0.0004981837052413078, + "loss": 1.403, + "step": 2880 + }, + { + "epoch": 1.5, + "learning_rate": 0.0004999135097733956, + "loss": 1.8624, + "step": 2890 + }, + { + "epoch": 1.5, + "learning_rate": 0.0005016433143054835, + "loss": 1.4894, + "step": 2900 + }, + { + "epoch": 1.51, + "learning_rate": 0.0005033731188375714, + "loss": 2.1144, + "step": 2910 + }, + { + "epoch": 1.52, + "learning_rate": 0.0005051029233696593, + "loss": 1.7605, + "step": 2920 + }, + { + "epoch": 1.52, + "learning_rate": 0.000506832727901747, + "loss": 1.6352, + "step": 2930 + }, + { + "epoch": 1.53, + "learning_rate": 0.000508562532433835, + "loss": 1.6826, + "step": 2940 + }, + { + "epoch": 1.53, + "learning_rate": 0.0005102923369659228, + "loss": 1.8023, + "step": 2950 + }, + { + "epoch": 1.54, + "learning_rate": 0.0005120221414980108, + "loss": 1.6957, + "step": 2960 + }, + { + "epoch": 1.54, + "learning_rate": 0.0005137519460300986, + "loss": 2.1667, + "step": 2970 + }, + { + "epoch": 1.55, + "learning_rate": 0.0005154817505621864, + "loss": 2.1662, + "step": 2980 + }, + { + "epoch": 1.55, + "learning_rate": 0.0005172115550942743, + "loss": 1.8724, + "step": 2990 + }, + { + "epoch": 1.56, + "learning_rate": 0.0005189413596263622, + "loss": 1.7312, + "step": 3000 + }, + { + "epoch": 1.56, + "learning_rate": 0.0005206711641584501, + "loss": 2.0953, + "step": 3010 + }, + { + "epoch": 1.57, + "learning_rate": 0.000522400968690538, + "loss": 1.8218, + "step": 3020 + }, + { + "epoch": 1.57, + "learning_rate": 0.0005241307732226258, + "loss": 1.9732, + "step": 3030 + }, + { + "epoch": 1.58, + "learning_rate": 0.0005258605777547137, + "loss": 2.229, + "step": 3040 + }, + { + "epoch": 1.58, + "learning_rate": 0.0005275903822868016, + "loss": 1.9946, + "step": 3050 + }, + { + "epoch": 1.59, + "learning_rate": 0.0005293201868188895, + "loss": 2.162, + "step": 3060 + }, + { + "epoch": 1.59, + "learning_rate": 0.0005310499913509773, + "loss": 2.0647, + "step": 3070 + }, + { + "epoch": 1.6, + "learning_rate": 0.0005327797958830652, + "loss": 2.0291, + "step": 3080 + }, + { + "epoch": 1.6, + "learning_rate": 0.0005345096004151531, + "loss": 2.0622, + "step": 3090 + }, + { + "epoch": 1.61, + "learning_rate": 0.000536239404947241, + "loss": 1.9414, + "step": 3100 + }, + { + "epoch": 1.61, + "learning_rate": 0.0005379692094793289, + "loss": 2.0906, + "step": 3110 + }, + { + "epoch": 1.62, + "learning_rate": 0.0005396990140114167, + "loss": 2.0018, + "step": 3120 + }, + { + "epoch": 1.62, + "learning_rate": 0.0005414288185435046, + "loss": 1.9754, + "step": 3130 + }, + { + "epoch": 1.63, + "learning_rate": 0.0005431586230755925, + "loss": 1.949, + "step": 3140 + }, + { + "epoch": 1.63, + "learning_rate": 0.0005448884276076803, + "loss": 1.918, + "step": 3150 + }, + { + "epoch": 1.64, + "learning_rate": 0.0005466182321397683, + "loss": 2.1205, + "step": 3160 + }, + { + "epoch": 1.65, + "learning_rate": 0.000548348036671856, + "loss": 1.8933, + "step": 3170 + }, + { + "epoch": 1.65, + "learning_rate": 0.000550077841203944, + "loss": 1.9666, + "step": 3180 + }, + { + "epoch": 1.66, + "learning_rate": 0.0005518076457360318, + "loss": 1.9286, + "step": 3190 + }, + { + "epoch": 1.66, + "learning_rate": 0.0005535374502681198, + "loss": 1.9417, + "step": 3200 + }, + { + "epoch": 1.67, + "learning_rate": 0.0005552672548002075, + "loss": 1.8296, + "step": 3210 + }, + { + "epoch": 1.67, + "learning_rate": 0.0005569970593322955, + "loss": 1.9005, + "step": 3220 + }, + { + "epoch": 1.68, + "learning_rate": 0.0005587268638643833, + "loss": 1.954, + "step": 3230 + }, + { + "epoch": 1.68, + "learning_rate": 0.0005604566683964713, + "loss": 1.9252, + "step": 3240 + }, + { + "epoch": 1.69, + "learning_rate": 0.000562186472928559, + "loss": 1.9827, + "step": 3250 + }, + { + "epoch": 1.69, + "learning_rate": 0.000563916277460647, + "loss": 1.7931, + "step": 3260 + }, + { + "epoch": 1.7, + "learning_rate": 0.0005656460819927348, + "loss": 1.8842, + "step": 3270 + }, + { + "epoch": 1.7, + "learning_rate": 0.0005673758865248228, + "loss": 1.8838, + "step": 3280 + }, + { + "epoch": 1.71, + "learning_rate": 0.0005691056910569106, + "loss": 1.7902, + "step": 3290 + }, + { + "epoch": 1.71, + "learning_rate": 0.0005708354955889984, + "loss": 1.9054, + "step": 3300 + }, + { + "epoch": 1.72, + "learning_rate": 0.0005725653001210863, + "loss": 1.972, + "step": 3310 + }, + { + "epoch": 1.72, + "learning_rate": 0.0005742951046531742, + "loss": 1.999, + "step": 3320 + }, + { + "epoch": 1.73, + "learning_rate": 0.0005760249091852621, + "loss": 1.9566, + "step": 3330 + }, + { + "epoch": 1.73, + "learning_rate": 0.00057775471371735, + "loss": 1.8273, + "step": 3340 + }, + { + "epoch": 1.74, + "learning_rate": 0.0005794845182494378, + "loss": 1.9554, + "step": 3350 + }, + { + "epoch": 1.74, + "learning_rate": 0.0005812143227815257, + "loss": 2.0318, + "step": 3360 + }, + { + "epoch": 1.75, + "learning_rate": 0.0005829441273136136, + "loss": 1.9838, + "step": 3370 + }, + { + "epoch": 1.75, + "learning_rate": 0.0005846739318457015, + "loss": 1.9402, + "step": 3380 + }, + { + "epoch": 1.76, + "learning_rate": 0.0005864037363777894, + "loss": 1.9904, + "step": 3390 + }, + { + "epoch": 1.76, + "learning_rate": 0.0005881335409098772, + "loss": 1.9198, + "step": 3400 + }, + { + "epoch": 1.77, + "learning_rate": 0.0005898633454419651, + "loss": 1.9405, + "step": 3410 + }, + { + "epoch": 1.77, + "learning_rate": 0.0005915931499740529, + "loss": 1.8445, + "step": 3420 + }, + { + "epoch": 1.78, + "learning_rate": 0.0005933229545061409, + "loss": 1.9201, + "step": 3430 + }, + { + "epoch": 1.79, + "learning_rate": 0.0005950527590382286, + "loss": 1.8237, + "step": 3440 + }, + { + "epoch": 1.79, + "learning_rate": 0.0005967825635703165, + "loss": 1.7255, + "step": 3450 + }, + { + "epoch": 1.8, + "learning_rate": 0.0005985123681024044, + "loss": 1.844, + "step": 3460 + }, + { + "epoch": 1.8, + "learning_rate": 0.0006002421726344923, + "loss": 2.0433, + "step": 3470 + }, + { + "epoch": 1.81, + "learning_rate": 0.0006019719771665802, + "loss": 1.7753, + "step": 3480 + }, + { + "epoch": 1.81, + "learning_rate": 0.000603701781698668, + "loss": 1.858, + "step": 3490 + }, + { + "epoch": 1.82, + "learning_rate": 0.0006054315862307559, + "loss": 1.9348, + "step": 3500 + }, + { + "epoch": 1.82, + "learning_rate": 0.0006071613907628438, + "loss": 1.8196, + "step": 3510 + }, + { + "epoch": 1.83, + "learning_rate": 0.0006088911952949317, + "loss": 2.0001, + "step": 3520 + }, + { + "epoch": 1.83, + "learning_rate": 0.0006106209998270195, + "loss": 1.806, + "step": 3530 + }, + { + "epoch": 1.84, + "learning_rate": 0.0006123508043591074, + "loss": 1.8369, + "step": 3540 + }, + { + "epoch": 1.84, + "learning_rate": 0.0006140806088911953, + "loss": 1.8824, + "step": 3550 + }, + { + "epoch": 1.85, + "learning_rate": 0.0006158104134232832, + "loss": 1.8376, + "step": 3560 + }, + { + "epoch": 1.85, + "learning_rate": 0.0006175402179553711, + "loss": 1.7554, + "step": 3570 + }, + { + "epoch": 1.86, + "learning_rate": 0.0006192700224874589, + "loss": 1.835, + "step": 3580 + }, + { + "epoch": 1.86, + "learning_rate": 0.0006209998270195468, + "loss": 1.7473, + "step": 3590 + }, + { + "epoch": 1.87, + "learning_rate": 0.0006227296315516347, + "loss": 1.8827, + "step": 3600 + }, + { + "epoch": 1.87, + "learning_rate": 0.0006244594360837226, + "loss": 1.7536, + "step": 3610 + }, + { + "epoch": 1.88, + "learning_rate": 0.0006261892406158103, + "loss": 1.8997, + "step": 3620 + }, + { + "epoch": 1.88, + "learning_rate": 0.0006279190451478983, + "loss": 1.813, + "step": 3630 + }, + { + "epoch": 1.89, + "learning_rate": 0.0006296488496799861, + "loss": 1.8474, + "step": 3640 + }, + { + "epoch": 1.89, + "learning_rate": 0.0006313786542120741, + "loss": 1.8263, + "step": 3650 + }, + { + "epoch": 1.9, + "learning_rate": 0.0006331084587441619, + "loss": 1.8817, + "step": 3660 + }, + { + "epoch": 1.9, + "learning_rate": 0.0006348382632762499, + "loss": 1.9347, + "step": 3670 + }, + { + "epoch": 1.91, + "learning_rate": 0.0006365680678083376, + "loss": 1.786, + "step": 3680 + }, + { + "epoch": 1.91, + "learning_rate": 0.0006382978723404256, + "loss": 2.197, + "step": 3690 + }, + { + "epoch": 1.92, + "learning_rate": 0.0006400276768725134, + "loss": 1.9695, + "step": 3700 + }, + { + "epoch": 1.93, + "learning_rate": 0.0006417574814046014, + "loss": 1.8939, + "step": 3710 + }, + { + "epoch": 1.93, + "learning_rate": 0.0006434872859366891, + "loss": 1.8662, + "step": 3720 + }, + { + "epoch": 1.94, + "learning_rate": 0.0006452170904687771, + "loss": 1.8054, + "step": 3730 + }, + { + "epoch": 1.94, + "learning_rate": 0.0006469468950008649, + "loss": 1.8351, + "step": 3740 + }, + { + "epoch": 1.95, + "learning_rate": 0.0006486766995329529, + "loss": 1.9102, + "step": 3750 + }, + { + "epoch": 1.95, + "learning_rate": 0.0006504065040650406, + "loss": 1.8462, + "step": 3760 + }, + { + "epoch": 1.96, + "learning_rate": 0.0006521363085971285, + "loss": 1.894, + "step": 3770 + }, + { + "epoch": 1.96, + "learning_rate": 0.0006538661131292164, + "loss": 1.7559, + "step": 3780 + }, + { + "epoch": 1.97, + "learning_rate": 0.0006555959176613043, + "loss": 1.8255, + "step": 3790 + }, + { + "epoch": 1.97, + "learning_rate": 0.0006573257221933922, + "loss": 1.7118, + "step": 3800 + }, + { + "epoch": 1.98, + "learning_rate": 0.00065905552672548, + "loss": 1.8048, + "step": 3810 + }, + { + "epoch": 1.98, + "learning_rate": 0.0006607853312575679, + "loss": 1.7759, + "step": 3820 + }, + { + "epoch": 1.99, + "learning_rate": 0.0006625151357896558, + "loss": 1.7974, + "step": 3830 + }, + { + "epoch": 1.99, + "learning_rate": 0.0006642449403217437, + "loss": 1.7673, + "step": 3840 + }, + { + "epoch": 2.0, + "learning_rate": 0.0006659747448538316, + "loss": 1.7959, + "step": 3850 + }, + { + "epoch": 2.0, + "eval_accuracy": { + "accuracy": 0.26848249027237353 + }, + "eval_f1": { + "f1": 0.17635435227079216 + }, + "eval_loss": 1.8579649925231934, + "eval_precision": { + "precision": 0.15600300783137744 + }, + "eval_recall": { + "recall": 0.2748312652287413 + }, + "eval_runtime": 115.151, + "eval_samples_per_second": 33.478, + "eval_steps_per_second": 16.743, + "step": 3854 + }, + { + "epoch": 2.0, + "learning_rate": 0.0006677045493859194, + "loss": 1.9251, + "step": 3860 + }, + { + "epoch": 2.01, + "learning_rate": 0.0006694343539180073, + "loss": 1.7743, + "step": 3870 + }, + { + "epoch": 2.01, + "learning_rate": 0.0006711641584500952, + "loss": 1.8658, + "step": 3880 + }, + { + "epoch": 2.02, + "learning_rate": 0.000672893962982183, + "loss": 1.8682, + "step": 3890 + }, + { + "epoch": 2.02, + "learning_rate": 0.000674623767514271, + "loss": 1.9279, + "step": 3900 + }, + { + "epoch": 2.03, + "learning_rate": 0.0006763535720463587, + "loss": 2.0145, + "step": 3910 + }, + { + "epoch": 2.03, + "learning_rate": 0.0006780833765784466, + "loss": 2.0323, + "step": 3920 + }, + { + "epoch": 2.04, + "learning_rate": 0.0006798131811105345, + "loss": 1.9978, + "step": 3930 + }, + { + "epoch": 2.04, + "learning_rate": 0.0006815429856426224, + "loss": 1.9258, + "step": 3940 + }, + { + "epoch": 2.05, + "learning_rate": 0.0006832727901747102, + "loss": 1.9777, + "step": 3950 + }, + { + "epoch": 2.06, + "learning_rate": 0.0006850025947067981, + "loss": 1.9442, + "step": 3960 + }, + { + "epoch": 2.06, + "learning_rate": 0.000686732399238886, + "loss": 1.9772, + "step": 3970 + }, + { + "epoch": 2.07, + "learning_rate": 0.0006884622037709739, + "loss": 1.9368, + "step": 3980 + }, + { + "epoch": 2.07, + "learning_rate": 0.0006901920083030618, + "loss": 1.8948, + "step": 3990 + }, + { + "epoch": 2.08, + "learning_rate": 0.0006919218128351496, + "loss": 1.9485, + "step": 4000 + }, + { + "epoch": 2.08, + "learning_rate": 0.0006936516173672375, + "loss": 1.8472, + "step": 4010 + }, + { + "epoch": 2.09, + "learning_rate": 0.0006953814218993254, + "loss": 1.7604, + "step": 4020 + }, + { + "epoch": 2.09, + "learning_rate": 0.0006971112264314133, + "loss": 1.8371, + "step": 4030 + }, + { + "epoch": 2.1, + "learning_rate": 0.0006988410309635011, + "loss": 1.7566, + "step": 4040 + }, + { + "epoch": 2.1, + "learning_rate": 0.000700570835495589, + "loss": 1.9021, + "step": 4050 + }, + { + "epoch": 2.11, + "learning_rate": 0.0007023006400276769, + "loss": 1.744, + "step": 4060 + }, + { + "epoch": 2.11, + "learning_rate": 0.0007040304445597648, + "loss": 1.8639, + "step": 4070 + }, + { + "epoch": 2.12, + "learning_rate": 0.0007057602490918527, + "loss": 1.857, + "step": 4080 + }, + { + "epoch": 2.12, + "learning_rate": 0.0007074900536239404, + "loss": 1.8229, + "step": 4090 + }, + { + "epoch": 2.13, + "learning_rate": 0.0007092198581560284, + "loss": 1.8733, + "step": 4100 + }, + { + "epoch": 2.13, + "learning_rate": 0.0007109496626881162, + "loss": 1.8442, + "step": 4110 + }, + { + "epoch": 2.14, + "learning_rate": 0.0007126794672202042, + "loss": 1.8209, + "step": 4120 + }, + { + "epoch": 2.14, + "learning_rate": 0.0007144092717522919, + "loss": 1.7018, + "step": 4130 + }, + { + "epoch": 2.15, + "learning_rate": 0.0007161390762843799, + "loss": 1.8013, + "step": 4140 + }, + { + "epoch": 2.15, + "learning_rate": 0.0007178688808164677, + "loss": 1.9447, + "step": 4150 + }, + { + "epoch": 2.16, + "learning_rate": 0.0007195986853485557, + "loss": 1.8768, + "step": 4160 + }, + { + "epoch": 2.16, + "learning_rate": 0.0007213284898806435, + "loss": 1.822, + "step": 4170 + }, + { + "epoch": 2.17, + "learning_rate": 0.0007230582944127314, + "loss": 1.77, + "step": 4180 + }, + { + "epoch": 2.17, + "learning_rate": 0.0007247880989448192, + "loss": 1.8653, + "step": 4190 + }, + { + "epoch": 2.18, + "learning_rate": 0.0007265179034769072, + "loss": 1.7695, + "step": 4200 + }, + { + "epoch": 2.18, + "learning_rate": 0.000728247708008995, + "loss": 1.8426, + "step": 4210 + }, + { + "epoch": 2.19, + "learning_rate": 0.000729977512541083, + "loss": 1.8379, + "step": 4220 + }, + { + "epoch": 2.2, + "learning_rate": 0.0007317073170731707, + "loss": 1.8384, + "step": 4230 + }, + { + "epoch": 2.2, + "learning_rate": 0.0007334371216052586, + "loss": 1.9245, + "step": 4240 + }, + { + "epoch": 2.21, + "learning_rate": 0.0007351669261373465, + "loss": 1.8017, + "step": 4250 + }, + { + "epoch": 2.21, + "learning_rate": 0.0007368967306694344, + "loss": 1.8151, + "step": 4260 + }, + { + "epoch": 2.22, + "learning_rate": 0.0007386265352015222, + "loss": 1.8356, + "step": 4270 + }, + { + "epoch": 2.22, + "learning_rate": 0.0007403563397336101, + "loss": 1.9064, + "step": 4280 + }, + { + "epoch": 2.23, + "learning_rate": 0.000742086144265698, + "loss": 1.8325, + "step": 4290 + }, + { + "epoch": 2.23, + "learning_rate": 0.0007438159487977859, + "loss": 1.8079, + "step": 4300 + }, + { + "epoch": 2.24, + "learning_rate": 0.0007455457533298738, + "loss": 1.7581, + "step": 4310 + }, + { + "epoch": 2.24, + "learning_rate": 0.0007472755578619616, + "loss": 1.9346, + "step": 4320 + }, + { + "epoch": 2.25, + "learning_rate": 0.0007490053623940495, + "loss": 1.8706, + "step": 4330 + }, + { + "epoch": 2.25, + "learning_rate": 0.0007507351669261374, + "loss": 1.8314, + "step": 4340 + }, + { + "epoch": 2.26, + "learning_rate": 0.0007524649714582253, + "loss": 1.8881, + "step": 4350 + }, + { + "epoch": 2.26, + "learning_rate": 0.0007541947759903132, + "loss": 1.8785, + "step": 4360 + }, + { + "epoch": 2.27, + "learning_rate": 0.000755924580522401, + "loss": 1.7916, + "step": 4370 + }, + { + "epoch": 2.27, + "learning_rate": 0.0007576543850544888, + "loss": 1.8089, + "step": 4380 + }, + { + "epoch": 2.28, + "learning_rate": 0.0007593841895865767, + "loss": 1.7736, + "step": 4390 + }, + { + "epoch": 2.28, + "learning_rate": 0.0007611139941186646, + "loss": 1.8184, + "step": 4400 + }, + { + "epoch": 2.29, + "learning_rate": 0.0007628437986507524, + "loss": 1.8084, + "step": 4410 + }, + { + "epoch": 2.29, + "learning_rate": 0.0007645736031828403, + "loss": 2.0347, + "step": 4420 + }, + { + "epoch": 2.3, + "learning_rate": 0.0007663034077149282, + "loss": 1.7984, + "step": 4430 + }, + { + "epoch": 2.3, + "learning_rate": 0.0007680332122470161, + "loss": 1.7799, + "step": 4440 + }, + { + "epoch": 2.31, + "learning_rate": 0.000769763016779104, + "loss": 1.7603, + "step": 4450 + }, + { + "epoch": 2.31, + "learning_rate": 0.0007714928213111918, + "loss": 1.6663, + "step": 4460 + }, + { + "epoch": 2.32, + "learning_rate": 0.0007732226258432797, + "loss": 1.9232, + "step": 4470 + }, + { + "epoch": 2.32, + "learning_rate": 0.0007749524303753676, + "loss": 1.8086, + "step": 4480 + }, + { + "epoch": 2.33, + "learning_rate": 0.0007766822349074555, + "loss": 1.7616, + "step": 4490 + }, + { + "epoch": 2.34, + "learning_rate": 0.0007784120394395433, + "loss": 1.8018, + "step": 4500 + }, + { + "epoch": 2.34, + "learning_rate": 0.0007801418439716312, + "loss": 1.8413, + "step": 4510 + }, + { + "epoch": 2.35, + "learning_rate": 0.0007818716485037191, + "loss": 2.1126, + "step": 4520 + }, + { + "epoch": 2.35, + "learning_rate": 0.000783601453035807, + "loss": 1.9105, + "step": 4530 + }, + { + "epoch": 2.36, + "learning_rate": 0.0007853312575678949, + "loss": 1.8485, + "step": 4540 + }, + { + "epoch": 2.36, + "learning_rate": 0.0007870610620999827, + "loss": 1.8835, + "step": 4550 + }, + { + "epoch": 2.37, + "learning_rate": 0.0007887908666320705, + "loss": 1.7881, + "step": 4560 + }, + { + "epoch": 2.37, + "learning_rate": 0.0007905206711641585, + "loss": 1.7013, + "step": 4570 + }, + { + "epoch": 2.38, + "learning_rate": 0.0007922504756962463, + "loss": 1.7657, + "step": 4580 + }, + { + "epoch": 2.38, + "learning_rate": 0.0007939802802283343, + "loss": 1.9326, + "step": 4590 + }, + { + "epoch": 2.39, + "learning_rate": 0.000795710084760422, + "loss": 1.6888, + "step": 4600 + }, + { + "epoch": 2.39, + "learning_rate": 0.00079743988929251, + "loss": 1.8114, + "step": 4610 + }, + { + "epoch": 2.4, + "learning_rate": 0.0007991696938245978, + "loss": 1.9245, + "step": 4620 + }, + { + "epoch": 2.4, + "learning_rate": 0.0008008994983566858, + "loss": 1.8287, + "step": 4630 + }, + { + "epoch": 2.41, + "learning_rate": 0.0008026293028887735, + "loss": 1.8763, + "step": 4640 + }, + { + "epoch": 2.41, + "learning_rate": 0.0008043591074208615, + "loss": 1.6896, + "step": 4650 + }, + { + "epoch": 2.42, + "learning_rate": 0.0008060889119529493, + "loss": 1.9996, + "step": 4660 + }, + { + "epoch": 2.42, + "learning_rate": 0.0008078187164850373, + "loss": 1.7345, + "step": 4670 + }, + { + "epoch": 2.43, + "learning_rate": 0.0008095485210171251, + "loss": 1.7908, + "step": 4680 + }, + { + "epoch": 2.43, + "learning_rate": 0.000811278325549213, + "loss": 1.8212, + "step": 4690 + }, + { + "epoch": 2.44, + "learning_rate": 0.0008130081300813008, + "loss": 1.8434, + "step": 4700 + }, + { + "epoch": 2.44, + "learning_rate": 0.0008147379346133887, + "loss": 1.9086, + "step": 4710 + }, + { + "epoch": 2.45, + "learning_rate": 0.0008164677391454766, + "loss": 1.9098, + "step": 4720 + }, + { + "epoch": 2.45, + "learning_rate": 0.0008181975436775644, + "loss": 1.7695, + "step": 4730 + }, + { + "epoch": 2.46, + "learning_rate": 0.0008199273482096523, + "loss": 1.7415, + "step": 4740 + }, + { + "epoch": 2.46, + "learning_rate": 0.0008216571527417402, + "loss": 1.8291, + "step": 4750 + }, + { + "epoch": 2.47, + "learning_rate": 0.0008233869572738281, + "loss": 1.7842, + "step": 4760 + }, + { + "epoch": 2.48, + "learning_rate": 0.000825116761805916, + "loss": 1.8745, + "step": 4770 + }, + { + "epoch": 2.48, + "learning_rate": 0.0008268465663380038, + "loss": 1.7075, + "step": 4780 + }, + { + "epoch": 2.49, + "learning_rate": 0.0008285763708700917, + "loss": 1.8133, + "step": 4790 + }, + { + "epoch": 2.49, + "learning_rate": 0.0008303061754021796, + "loss": 1.7318, + "step": 4800 + }, + { + "epoch": 2.5, + "learning_rate": 0.0008320359799342675, + "loss": 1.874, + "step": 4810 + }, + { + "epoch": 2.5, + "learning_rate": 0.0008337657844663554, + "loss": 1.8895, + "step": 4820 + }, + { + "epoch": 2.51, + "learning_rate": 0.0008354955889984432, + "loss": 1.8485, + "step": 4830 + }, + { + "epoch": 2.51, + "learning_rate": 0.0008372253935305311, + "loss": 1.7643, + "step": 4840 + }, + { + "epoch": 2.52, + "learning_rate": 0.000838955198062619, + "loss": 1.8477, + "step": 4850 + }, + { + "epoch": 2.52, + "learning_rate": 0.0008406850025947068, + "loss": 1.8611, + "step": 4860 + }, + { + "epoch": 2.53, + "learning_rate": 0.0008424148071267946, + "loss": 1.8908, + "step": 4870 + }, + { + "epoch": 2.53, + "learning_rate": 0.0008441446116588825, + "loss": 1.8017, + "step": 4880 + }, + { + "epoch": 2.54, + "learning_rate": 0.0008458744161909704, + "loss": 1.9186, + "step": 4890 + }, + { + "epoch": 2.54, + "learning_rate": 0.0008476042207230583, + "loss": 1.8141, + "step": 4900 + }, + { + "epoch": 2.55, + "learning_rate": 0.0008493340252551462, + "loss": 1.8298, + "step": 4910 + }, + { + "epoch": 2.55, + "learning_rate": 0.000851063829787234, + "loss": 1.7711, + "step": 4920 + }, + { + "epoch": 2.56, + "learning_rate": 0.0008527936343193219, + "loss": 1.8265, + "step": 4930 + }, + { + "epoch": 2.56, + "learning_rate": 0.0008545234388514098, + "loss": 1.7649, + "step": 4940 + }, + { + "epoch": 2.57, + "learning_rate": 0.0008562532433834977, + "loss": 1.9159, + "step": 4950 + }, + { + "epoch": 2.57, + "learning_rate": 0.0008579830479155855, + "loss": 1.7968, + "step": 4960 + }, + { + "epoch": 2.58, + "learning_rate": 0.0008597128524476734, + "loss": 1.807, + "step": 4970 + }, + { + "epoch": 2.58, + "learning_rate": 0.0008614426569797613, + "loss": 1.7633, + "step": 4980 + }, + { + "epoch": 2.59, + "learning_rate": 0.0008631724615118492, + "loss": 1.8019, + "step": 4990 + }, + { + "epoch": 2.59, + "learning_rate": 0.0008649022660439371, + "loss": 1.8697, + "step": 5000 + }, + { + "epoch": 2.6, + "learning_rate": 0.0008666320705760249, + "loss": 1.8348, + "step": 5010 + }, + { + "epoch": 2.61, + "learning_rate": 0.0008683618751081128, + "loss": 1.805, + "step": 5020 + }, + { + "epoch": 2.61, + "learning_rate": 0.0008700916796402006, + "loss": 1.7346, + "step": 5030 + }, + { + "epoch": 2.62, + "learning_rate": 0.0008718214841722886, + "loss": 1.9219, + "step": 5040 + }, + { + "epoch": 2.62, + "learning_rate": 0.0008735512887043763, + "loss": 2.0954, + "step": 5050 + }, + { + "epoch": 2.63, + "learning_rate": 0.0008752810932364643, + "loss": 1.9262, + "step": 5060 + }, + { + "epoch": 2.63, + "learning_rate": 0.0008770108977685521, + "loss": 1.8491, + "step": 5070 + }, + { + "epoch": 2.64, + "learning_rate": 0.0008787407023006401, + "loss": 2.0113, + "step": 5080 + }, + { + "epoch": 2.64, + "learning_rate": 0.0008804705068327279, + "loss": 1.9341, + "step": 5090 + }, + { + "epoch": 2.65, + "learning_rate": 0.0008822003113648159, + "loss": 1.8968, + "step": 5100 + }, + { + "epoch": 2.65, + "learning_rate": 0.0008839301158969036, + "loss": 2.0009, + "step": 5110 + }, + { + "epoch": 2.66, + "learning_rate": 0.0008856599204289916, + "loss": 1.9956, + "step": 5120 + }, + { + "epoch": 2.66, + "learning_rate": 0.0008873897249610794, + "loss": 1.9083, + "step": 5130 + }, + { + "epoch": 2.67, + "learning_rate": 0.0008891195294931674, + "loss": 1.9274, + "step": 5140 + }, + { + "epoch": 2.67, + "learning_rate": 0.0008908493340252551, + "loss": 1.8263, + "step": 5150 + }, + { + "epoch": 2.68, + "learning_rate": 0.0008925791385573431, + "loss": 1.8235, + "step": 5160 + }, + { + "epoch": 2.68, + "learning_rate": 0.0008943089430894309, + "loss": 1.8786, + "step": 5170 + }, + { + "epoch": 2.69, + "learning_rate": 0.0008960387476215188, + "loss": 1.8952, + "step": 5180 + }, + { + "epoch": 2.69, + "learning_rate": 0.0008977685521536067, + "loss": 1.7448, + "step": 5190 + }, + { + "epoch": 2.7, + "learning_rate": 0.0008994983566856945, + "loss": 1.9518, + "step": 5200 + }, + { + "epoch": 2.7, + "learning_rate": 0.0009012281612177824, + "loss": 1.8636, + "step": 5210 + }, + { + "epoch": 2.71, + "learning_rate": 0.0009029579657498703, + "loss": 1.9309, + "step": 5220 + }, + { + "epoch": 2.71, + "learning_rate": 0.0009046877702819582, + "loss": 1.8714, + "step": 5230 + }, + { + "epoch": 2.72, + "learning_rate": 0.000906417574814046, + "loss": 1.7624, + "step": 5240 + }, + { + "epoch": 2.72, + "learning_rate": 0.0009081473793461339, + "loss": 1.9421, + "step": 5250 + }, + { + "epoch": 2.73, + "learning_rate": 0.0009098771838782218, + "loss": 1.9204, + "step": 5260 + }, + { + "epoch": 2.73, + "learning_rate": 0.0009116069884103097, + "loss": 1.8561, + "step": 5270 + }, + { + "epoch": 2.74, + "learning_rate": 0.0009133367929423976, + "loss": 1.8766, + "step": 5280 + }, + { + "epoch": 2.75, + "learning_rate": 0.0009150665974744854, + "loss": 1.8905, + "step": 5290 + }, + { + "epoch": 2.75, + "learning_rate": 0.0009167964020065733, + "loss": 1.8466, + "step": 5300 + }, + { + "epoch": 2.76, + "learning_rate": 0.0009185262065386612, + "loss": 1.8735, + "step": 5310 + }, + { + "epoch": 2.76, + "learning_rate": 0.0009202560110707491, + "loss": 2.0758, + "step": 5320 + }, + { + "epoch": 2.77, + "learning_rate": 0.0009219858156028368, + "loss": 1.9582, + "step": 5330 + }, + { + "epoch": 2.77, + "learning_rate": 0.0009237156201349248, + "loss": 1.9317, + "step": 5340 + }, + { + "epoch": 2.78, + "learning_rate": 0.0009254454246670126, + "loss": 1.8719, + "step": 5350 + }, + { + "epoch": 2.78, + "learning_rate": 0.0009271752291991005, + "loss": 1.8377, + "step": 5360 + }, + { + "epoch": 2.79, + "learning_rate": 0.0009289050337311884, + "loss": 1.9785, + "step": 5370 + }, + { + "epoch": 2.79, + "learning_rate": 0.0009306348382632762, + "loss": 1.9259, + "step": 5380 + }, + { + "epoch": 2.8, + "learning_rate": 0.0009323646427953641, + "loss": 1.9097, + "step": 5390 + }, + { + "epoch": 2.8, + "learning_rate": 0.000934094447327452, + "loss": 1.9034, + "step": 5400 + }, + { + "epoch": 2.81, + "learning_rate": 0.0009358242518595399, + "loss": 1.8983, + "step": 5410 + }, + { + "epoch": 2.81, + "learning_rate": 0.0009375540563916278, + "loss": 1.8115, + "step": 5420 + }, + { + "epoch": 2.82, + "learning_rate": 0.0009392838609237156, + "loss": 1.8606, + "step": 5430 + }, + { + "epoch": 2.82, + "learning_rate": 0.0009410136654558035, + "loss": 1.8883, + "step": 5440 + }, + { + "epoch": 2.83, + "learning_rate": 0.0009427434699878914, + "loss": 1.7868, + "step": 5450 + }, + { + "epoch": 2.83, + "learning_rate": 0.0009444732745199793, + "loss": 1.9107, + "step": 5460 + }, + { + "epoch": 2.84, + "learning_rate": 0.0009462030790520671, + "loss": 1.9427, + "step": 5470 + }, + { + "epoch": 2.84, + "learning_rate": 0.000947932883584155, + "loss": 1.8159, + "step": 5480 + }, + { + "epoch": 2.85, + "learning_rate": 0.0009496626881162429, + "loss": 1.909, + "step": 5490 + }, + { + "epoch": 2.85, + "learning_rate": 0.0009513924926483307, + "loss": 1.8716, + "step": 5500 + }, + { + "epoch": 2.86, + "learning_rate": 0.0009531222971804187, + "loss": 1.9116, + "step": 5510 + }, + { + "epoch": 2.86, + "learning_rate": 0.0009548521017125064, + "loss": 1.8846, + "step": 5520 + }, + { + "epoch": 2.87, + "learning_rate": 0.0009565819062445944, + "loss": 1.8776, + "step": 5530 + }, + { + "epoch": 2.87, + "learning_rate": 0.0009583117107766822, + "loss": 1.828, + "step": 5540 + }, + { + "epoch": 2.88, + "learning_rate": 0.0009600415153087702, + "loss": 1.9392, + "step": 5550 + }, + { + "epoch": 2.89, + "learning_rate": 0.0009617713198408579, + "loss": 1.8823, + "step": 5560 + }, + { + "epoch": 2.89, + "learning_rate": 0.0009635011243729459, + "loss": 1.8782, + "step": 5570 + }, + { + "epoch": 2.9, + "learning_rate": 0.0009652309289050337, + "loss": 1.8898, + "step": 5580 + }, + { + "epoch": 2.9, + "learning_rate": 0.0009669607334371217, + "loss": 1.8107, + "step": 5590 + }, + { + "epoch": 2.91, + "learning_rate": 0.0009686905379692095, + "loss": 1.8026, + "step": 5600 + }, + { + "epoch": 2.91, + "learning_rate": 0.0009704203425012974, + "loss": 1.8616, + "step": 5610 + }, + { + "epoch": 2.92, + "learning_rate": 0.0009721501470333852, + "loss": 1.8443, + "step": 5620 + }, + { + "epoch": 2.92, + "learning_rate": 0.0009738799515654732, + "loss": 1.8465, + "step": 5630 + }, + { + "epoch": 2.93, + "learning_rate": 0.000975609756097561, + "loss": 1.8806, + "step": 5640 + }, + { + "epoch": 2.93, + "learning_rate": 0.0009773395606296489, + "loss": 1.8441, + "step": 5650 + }, + { + "epoch": 2.94, + "learning_rate": 0.0009790693651617367, + "loss": 1.8194, + "step": 5660 + }, + { + "epoch": 2.94, + "learning_rate": 0.0009807991696938246, + "loss": 1.9228, + "step": 5670 + }, + { + "epoch": 2.95, + "learning_rate": 0.0009825289742259125, + "loss": 1.792, + "step": 5680 + }, + { + "epoch": 2.95, + "learning_rate": 0.0009842587787580004, + "loss": 1.8211, + "step": 5690 + }, + { + "epoch": 2.96, + "learning_rate": 0.0009859885832900882, + "loss": 1.81, + "step": 5700 + }, + { + "epoch": 2.96, + "learning_rate": 0.0009877183878221761, + "loss": 1.8862, + "step": 5710 + }, + { + "epoch": 2.97, + "learning_rate": 0.000989448192354264, + "loss": 1.8373, + "step": 5720 + }, + { + "epoch": 2.97, + "learning_rate": 0.0009911779968863519, + "loss": 1.8639, + "step": 5730 + }, + { + "epoch": 2.98, + "learning_rate": 0.0009929078014184398, + "loss": 1.8718, + "step": 5740 + }, + { + "epoch": 2.98, + "learning_rate": 0.0009946376059505276, + "loss": 1.8258, + "step": 5750 + }, + { + "epoch": 2.99, + "learning_rate": 0.0009963674104826155, + "loss": 1.8564, + "step": 5760 + }, + { + "epoch": 2.99, + "learning_rate": 0.0009980972150147034, + "loss": 1.9462, + "step": 5770 + }, + { + "epoch": 3.0, + "learning_rate": 0.0009998270195467913, + "loss": 1.8437, + "step": 5780 + }, + { + "epoch": 3.0, + "eval_accuracy": { + "accuracy": 0.1743190661478599 + }, + "eval_f1": { + "f1": 0.1111482743173735 + }, + "eval_loss": 1.9242523908615112, + "eval_precision": { + "precision": 0.1516816437642854 + }, + "eval_recall": { + "recall": 0.1887752678966561 + }, + "eval_runtime": 118.0197, + "eval_samples_per_second": 32.664, + "eval_steps_per_second": 16.336, + "step": 5781 + }, + { + "epoch": 3.0, + "learning_rate": 0.000999999926169841, + "loss": 1.8482, + "step": 5790 + }, + { + "epoch": 3.01, + "learning_rate": 0.0009999996709545039, + "loss": 1.8564, + "step": 5800 + }, + { + "epoch": 3.02, + "learning_rate": 0.0009999992334425987, + "loss": 1.8474, + "step": 5810 + }, + { + "epoch": 3.02, + "learning_rate": 0.0009999986136342847, + "loss": 1.8997, + "step": 5820 + }, + { + "epoch": 3.03, + "learning_rate": 0.000999997811529788, + "loss": 1.8401, + "step": 5830 + }, + { + "epoch": 3.03, + "learning_rate": 0.000999996827129401, + "loss": 1.8567, + "step": 5840 + }, + { + "epoch": 3.04, + "learning_rate": 0.0009999956604334825, + "loss": 1.9804, + "step": 5850 + }, + { + "epoch": 3.04, + "learning_rate": 0.000999994311442458, + "loss": 1.8427, + "step": 5860 + }, + { + "epoch": 3.05, + "learning_rate": 0.0009999927801568192, + "loss": 1.8681, + "step": 5870 + }, + { + "epoch": 3.05, + "learning_rate": 0.0009999910665771247, + "loss": 1.8561, + "step": 5880 + }, + { + "epoch": 3.06, + "learning_rate": 0.000999989170703999, + "loss": 1.9098, + "step": 5890 + }, + { + "epoch": 3.06, + "learning_rate": 0.0009999870925381333, + "loss": 1.935, + "step": 5900 + }, + { + "epoch": 3.07, + "learning_rate": 0.0009999848320802853, + "loss": 2.0045, + "step": 5910 + }, + { + "epoch": 3.07, + "learning_rate": 0.0009999823893312794, + "loss": 1.9466, + "step": 5920 + }, + { + "epoch": 3.08, + "learning_rate": 0.0009999797642920058, + "loss": 1.9047, + "step": 5930 + }, + { + "epoch": 3.08, + "learning_rate": 0.0009999769569634218, + "loss": 1.9901, + "step": 5940 + }, + { + "epoch": 3.09, + "learning_rate": 0.000999973967346551, + "loss": 1.9159, + "step": 5950 + }, + { + "epoch": 3.09, + "learning_rate": 0.0009999707954424836, + "loss": 1.9826, + "step": 5960 + }, + { + "epoch": 3.1, + "learning_rate": 0.0009999674412523754, + "loss": 1.9556, + "step": 5970 + }, + { + "epoch": 3.1, + "learning_rate": 0.0009999639047774498, + "loss": 1.9591, + "step": 5980 + }, + { + "epoch": 3.11, + "learning_rate": 0.000999960186018996, + "loss": 1.9551, + "step": 5990 + }, + { + "epoch": 3.11, + "learning_rate": 0.0009999562849783699, + "loss": 1.937, + "step": 6000 + }, + { + "epoch": 3.12, + "learning_rate": 0.0009999522016569938, + "loss": 1.9167, + "step": 6010 + }, + { + "epoch": 3.12, + "learning_rate": 0.0009999479360563565, + "loss": 1.9296, + "step": 6020 + }, + { + "epoch": 3.13, + "learning_rate": 0.000999943488178013, + "loss": 1.9602, + "step": 6030 + }, + { + "epoch": 3.13, + "learning_rate": 0.0009999388580235853, + "loss": 1.9229, + "step": 6040 + }, + { + "epoch": 3.14, + "learning_rate": 0.0009999340455947613, + "loss": 1.9508, + "step": 6050 + }, + { + "epoch": 3.14, + "learning_rate": 0.0009999290508932957, + "loss": 1.9451, + "step": 6060 + }, + { + "epoch": 3.15, + "learning_rate": 0.0009999238739210093, + "loss": 1.9379, + "step": 6070 + }, + { + "epoch": 3.16, + "learning_rate": 0.00099991851467979, + "loss": 1.9622, + "step": 6080 + }, + { + "epoch": 3.16, + "learning_rate": 0.0009999129731715912, + "loss": 1.9257, + "step": 6090 + }, + { + "epoch": 3.17, + "learning_rate": 0.0009999072493984337, + "loss": 1.936, + "step": 6100 + }, + { + "epoch": 3.17, + "learning_rate": 0.0009999013433624041, + "loss": 1.939, + "step": 6110 + }, + { + "epoch": 3.18, + "learning_rate": 0.000999895255065656, + "loss": 1.9445, + "step": 6120 + }, + { + "epoch": 3.18, + "learning_rate": 0.0009998889845104092, + "loss": 1.945, + "step": 6130 + }, + { + "epoch": 3.19, + "learning_rate": 0.0009998825316989493, + "loss": 1.989, + "step": 6140 + }, + { + "epoch": 3.19, + "learning_rate": 0.0009998758966336297, + "loss": 1.9469, + "step": 6150 + }, + { + "epoch": 3.2, + "learning_rate": 0.0009998690793168688, + "loss": 1.9297, + "step": 6160 + }, + { + "epoch": 3.2, + "learning_rate": 0.0009998620797511525, + "loss": 1.9461, + "step": 6170 + }, + { + "epoch": 3.21, + "learning_rate": 0.0009998548979390331, + "loss": 1.9486, + "step": 6180 + }, + { + "epoch": 3.21, + "learning_rate": 0.0009998475338831286, + "loss": 1.9473, + "step": 6190 + }, + { + "epoch": 3.22, + "learning_rate": 0.000999839987586124, + "loss": 1.9557, + "step": 6200 + }, + { + "epoch": 3.22, + "learning_rate": 0.0009998322590507706, + "loss": 1.9447, + "step": 6210 + }, + { + "epoch": 3.23, + "learning_rate": 0.0009998243482798863, + "loss": 1.9628, + "step": 6220 + }, + { + "epoch": 3.23, + "learning_rate": 0.0009998162552763551, + "loss": 1.9514, + "step": 6230 + }, + { + "epoch": 3.24, + "learning_rate": 0.0009998079800431282, + "loss": 1.9163, + "step": 6240 + }, + { + "epoch": 3.24, + "learning_rate": 0.000999799522583222, + "loss": 1.9278, + "step": 6250 + }, + { + "epoch": 3.25, + "learning_rate": 0.00099979088289972, + "loss": 1.9194, + "step": 6260 + }, + { + "epoch": 3.25, + "learning_rate": 0.0009997820609957732, + "loss": 1.9528, + "step": 6270 + }, + { + "epoch": 3.26, + "learning_rate": 0.0009997730568745966, + "loss": 1.9465, + "step": 6280 + }, + { + "epoch": 3.26, + "learning_rate": 0.0009997638705394741, + "loss": 1.9105, + "step": 6290 + }, + { + "epoch": 3.27, + "learning_rate": 0.0009997545019937546, + "loss": 1.9432, + "step": 6300 + }, + { + "epoch": 3.27, + "learning_rate": 0.0009997449512408538, + "loss": 1.9348, + "step": 6310 + }, + { + "epoch": 3.28, + "learning_rate": 0.0009997352182842538, + "loss": 1.9364, + "step": 6320 + }, + { + "epoch": 3.28, + "learning_rate": 0.0009997253031275035, + "loss": 1.9734, + "step": 6330 + }, + { + "epoch": 3.29, + "learning_rate": 0.0009997152057742173, + "loss": 1.9606, + "step": 6340 + }, + { + "epoch": 3.3, + "learning_rate": 0.0009997049262280772, + "loss": 1.9483, + "step": 6350 + }, + { + "epoch": 3.3, + "learning_rate": 0.0009996944644928307, + "loss": 1.9196, + "step": 6360 + }, + { + "epoch": 3.31, + "learning_rate": 0.0009996838205722923, + "loss": 1.9586, + "step": 6370 + }, + { + "epoch": 3.31, + "learning_rate": 0.0009996729944703427, + "loss": 1.9599, + "step": 6380 + }, + { + "epoch": 3.32, + "learning_rate": 0.0009996619861909288, + "loss": 1.9236, + "step": 6390 + }, + { + "epoch": 3.32, + "learning_rate": 0.0009996507957380643, + "loss": 1.9563, + "step": 6400 + }, + { + "epoch": 3.33, + "learning_rate": 0.000999639423115829, + "loss": 1.9324, + "step": 6410 + }, + { + "epoch": 3.33, + "learning_rate": 0.0009996278683283696, + "loss": 1.9386, + "step": 6420 + }, + { + "epoch": 3.34, + "learning_rate": 0.0009996161313798985, + "loss": 1.9506, + "step": 6430 + }, + { + "epoch": 3.34, + "learning_rate": 0.0009996042122746955, + "loss": 1.9184, + "step": 6440 + }, + { + "epoch": 3.35, + "learning_rate": 0.0009995921110171058, + "loss": 1.955, + "step": 6450 + }, + { + "epoch": 3.35, + "learning_rate": 0.0009995798276115414, + "loss": 1.9215, + "step": 6460 + }, + { + "epoch": 3.36, + "learning_rate": 0.0009995673620624807, + "loss": 1.9362, + "step": 6470 + }, + { + "epoch": 3.36, + "learning_rate": 0.0009995547143744688, + "loss": 1.939, + "step": 6480 + }, + { + "epoch": 3.37, + "learning_rate": 0.000999541884552117, + "loss": 1.8658, + "step": 6490 + }, + { + "epoch": 3.37, + "learning_rate": 0.0009995288726001028, + "loss": 1.9591, + "step": 6500 + }, + { + "epoch": 3.38, + "learning_rate": 0.0009995156785231702, + "loss": 1.9814, + "step": 6510 + }, + { + "epoch": 3.38, + "learning_rate": 0.0009995023023261298, + "loss": 1.9623, + "step": 6520 + }, + { + "epoch": 3.39, + "learning_rate": 0.0009994887440138588, + "loss": 1.9069, + "step": 6530 + }, + { + "epoch": 3.39, + "learning_rate": 0.0009994750035912997, + "loss": 1.8249, + "step": 6540 + }, + { + "epoch": 3.4, + "learning_rate": 0.0009994610810634627, + "loss": 1.8952, + "step": 6550 + }, + { + "epoch": 3.4, + "learning_rate": 0.000999446976435424, + "loss": 1.9932, + "step": 6560 + }, + { + "epoch": 3.41, + "learning_rate": 0.0009994326897123256, + "loss": 1.8771, + "step": 6570 + }, + { + "epoch": 3.41, + "learning_rate": 0.0009994182208993764, + "loss": 2.0021, + "step": 6580 + }, + { + "epoch": 3.42, + "learning_rate": 0.000999403570001852, + "loss": 1.9962, + "step": 6590 + }, + { + "epoch": 3.43, + "learning_rate": 0.0009993887370250939, + "loss": 1.9772, + "step": 6600 + }, + { + "epoch": 3.43, + "learning_rate": 0.00099937372197451, + "loss": 1.951, + "step": 6610 + }, + { + "epoch": 3.44, + "learning_rate": 0.0009993585248555745, + "loss": 1.9398, + "step": 6620 + }, + { + "epoch": 3.44, + "learning_rate": 0.0009993431456738284, + "loss": 1.9512, + "step": 6630 + }, + { + "epoch": 3.45, + "learning_rate": 0.000999327584434879, + "loss": 1.9954, + "step": 6640 + }, + { + "epoch": 3.45, + "learning_rate": 0.0009993118411443995, + "loss": 1.9426, + "step": 6650 + }, + { + "epoch": 3.46, + "learning_rate": 0.00099929591580813, + "loss": 1.9368, + "step": 6660 + }, + { + "epoch": 3.46, + "learning_rate": 0.0009992798084318766, + "loss": 1.9514, + "step": 6670 + }, + { + "epoch": 3.47, + "learning_rate": 0.0009992635190215122, + "loss": 1.9406, + "step": 6680 + }, + { + "epoch": 3.47, + "learning_rate": 0.0009992470475829755, + "loss": 1.9547, + "step": 6690 + }, + { + "epoch": 3.48, + "learning_rate": 0.0009992303941222722, + "loss": 1.9348, + "step": 6700 + }, + { + "epoch": 3.48, + "learning_rate": 0.000999213558645474, + "loss": 1.9717, + "step": 6710 + }, + { + "epoch": 3.49, + "learning_rate": 0.0009991965411587187, + "loss": 1.9505, + "step": 6720 + }, + { + "epoch": 3.49, + "learning_rate": 0.000999179341668211, + "loss": 1.925, + "step": 6730 + }, + { + "epoch": 3.5, + "learning_rate": 0.0009991619601802217, + "loss": 1.9599, + "step": 6740 + }, + { + "epoch": 3.5, + "learning_rate": 0.000999144396701088, + "loss": 1.9617, + "step": 6750 + }, + { + "epoch": 3.51, + "learning_rate": 0.0009991266512372132, + "loss": 1.9616, + "step": 6760 + }, + { + "epoch": 3.51, + "learning_rate": 0.0009991087237950676, + "loss": 1.9458, + "step": 6770 + }, + { + "epoch": 3.52, + "learning_rate": 0.0009990906143811868, + "loss": 1.9476, + "step": 6780 + }, + { + "epoch": 3.52, + "learning_rate": 0.0009990723230021742, + "loss": 1.919, + "step": 6790 + }, + { + "epoch": 3.53, + "learning_rate": 0.000999053849664698, + "loss": 1.9499, + "step": 6800 + }, + { + "epoch": 3.53, + "learning_rate": 0.000999035194375494, + "loss": 1.9444, + "step": 6810 + }, + { + "epoch": 3.54, + "learning_rate": 0.0009990163571413633, + "loss": 1.9498, + "step": 6820 + }, + { + "epoch": 3.54, + "learning_rate": 0.0009989973379691739, + "loss": 1.9729, + "step": 6830 + }, + { + "epoch": 3.55, + "learning_rate": 0.0009989781368658604, + "loss": 2.0205, + "step": 6840 + }, + { + "epoch": 3.55, + "learning_rate": 0.0009989587538384232, + "loss": 1.9512, + "step": 6850 + }, + { + "epoch": 3.56, + "learning_rate": 0.0009989391888939295, + "loss": 1.9329, + "step": 6860 + }, + { + "epoch": 3.57, + "learning_rate": 0.000998919442039512, + "loss": 1.9252, + "step": 6870 + }, + { + "epoch": 3.57, + "learning_rate": 0.0009988995132823705, + "loss": 1.9392, + "step": 6880 + }, + { + "epoch": 3.58, + "learning_rate": 0.0009988794026297711, + "loss": 1.9263, + "step": 6890 + }, + { + "epoch": 3.58, + "learning_rate": 0.000998859110089046, + "loss": 1.9332, + "step": 6900 + }, + { + "epoch": 3.59, + "learning_rate": 0.0009988386356675932, + "loss": 1.9138, + "step": 6910 + }, + { + "epoch": 3.59, + "learning_rate": 0.000998817979372878, + "loss": 1.9538, + "step": 6920 + }, + { + "epoch": 3.6, + "learning_rate": 0.0009987971412124318, + "loss": 1.9492, + "step": 6930 + }, + { + "epoch": 3.6, + "learning_rate": 0.0009987761211938514, + "loss": 1.9498, + "step": 6940 + }, + { + "epoch": 3.61, + "learning_rate": 0.000998754919324801, + "loss": 1.9517, + "step": 6950 + }, + { + "epoch": 3.61, + "learning_rate": 0.0009987335356130107, + "loss": 1.916, + "step": 6960 + }, + { + "epoch": 3.62, + "learning_rate": 0.0009987119700662767, + "loss": 1.9625, + "step": 6970 + }, + { + "epoch": 3.62, + "learning_rate": 0.0009986902226924615, + "loss": 1.9502, + "step": 6980 + }, + { + "epoch": 3.63, + "learning_rate": 0.000998668293499494, + "loss": 1.9368, + "step": 6990 + }, + { + "epoch": 3.63, + "learning_rate": 0.0009986461824953701, + "loss": 1.9518, + "step": 7000 + }, + { + "epoch": 3.64, + "learning_rate": 0.0009986238896881508, + "loss": 1.9244, + "step": 7010 + }, + { + "epoch": 3.64, + "learning_rate": 0.0009986014150859637, + "loss": 1.9348, + "step": 7020 + }, + { + "epoch": 3.65, + "learning_rate": 0.0009985787586970034, + "loss": 1.9646, + "step": 7030 + }, + { + "epoch": 3.65, + "learning_rate": 0.0009985559205295301, + "loss": 1.9216, + "step": 7040 + }, + { + "epoch": 3.66, + "learning_rate": 0.0009985329005918703, + "loss": 1.9065, + "step": 7050 + }, + { + "epoch": 3.66, + "learning_rate": 0.0009985096988924169, + "loss": 1.9527, + "step": 7060 + }, + { + "epoch": 3.67, + "learning_rate": 0.0009984863154396293, + "loss": 1.9143, + "step": 7070 + }, + { + "epoch": 3.67, + "learning_rate": 0.0009984627502420329, + "loss": 1.9082, + "step": 7080 + }, + { + "epoch": 3.68, + "learning_rate": 0.0009984390033082194, + "loss": 1.9009, + "step": 7090 + }, + { + "epoch": 3.68, + "learning_rate": 0.0009984150746468465, + "loss": 1.766, + "step": 7100 + }, + { + "epoch": 3.69, + "learning_rate": 0.0009983909642666388, + "loss": 1.8211, + "step": 7110 + }, + { + "epoch": 3.69, + "learning_rate": 0.000998366672176387, + "loss": 1.8446, + "step": 7120 + }, + { + "epoch": 3.7, + "learning_rate": 0.000998342198384947, + "loss": 1.8342, + "step": 7130 + }, + { + "epoch": 3.71, + "learning_rate": 0.0009983175429012425, + "loss": 1.8967, + "step": 7140 + }, + { + "epoch": 3.71, + "learning_rate": 0.0009982927057342623, + "loss": 1.8948, + "step": 7150 + }, + { + "epoch": 3.72, + "learning_rate": 0.0009982676868930623, + "loss": 1.9191, + "step": 7160 + }, + { + "epoch": 3.72, + "learning_rate": 0.0009982424863867639, + "loss": 1.9185, + "step": 7170 + }, + { + "epoch": 3.73, + "learning_rate": 0.0009982171042245552, + "loss": 1.8958, + "step": 7180 + }, + { + "epoch": 3.73, + "learning_rate": 0.0009981915404156901, + "loss": 1.9371, + "step": 7190 + }, + { + "epoch": 3.74, + "learning_rate": 0.0009981657949694892, + "loss": 1.8752, + "step": 7200 + }, + { + "epoch": 3.74, + "learning_rate": 0.000998139867895339, + "loss": 1.8434, + "step": 7210 + }, + { + "epoch": 3.75, + "learning_rate": 0.0009981137592026926, + "loss": 1.8518, + "step": 7220 + }, + { + "epoch": 3.75, + "learning_rate": 0.0009980874689010687, + "loss": 1.7907, + "step": 7230 + }, + { + "epoch": 3.76, + "learning_rate": 0.000998060997000053, + "loss": 1.8275, + "step": 7240 + }, + { + "epoch": 3.76, + "learning_rate": 0.0009980343435092966, + "loss": 1.9524, + "step": 7250 + }, + { + "epoch": 3.77, + "learning_rate": 0.0009980075084385174, + "loss": 1.8303, + "step": 7260 + }, + { + "epoch": 3.77, + "learning_rate": 0.000997980491797499, + "loss": 1.8564, + "step": 7270 + }, + { + "epoch": 3.78, + "learning_rate": 0.000997953293596092, + "loss": 1.8884, + "step": 7280 + }, + { + "epoch": 3.78, + "learning_rate": 0.000997925913844212, + "loss": 1.862, + "step": 7290 + }, + { + "epoch": 3.79, + "learning_rate": 0.0009978983525518422, + "loss": 1.8021, + "step": 7300 + }, + { + "epoch": 3.79, + "learning_rate": 0.0009978706097290308, + "loss": 1.9126, + "step": 7310 + }, + { + "epoch": 3.8, + "learning_rate": 0.0009978426853858929, + "loss": 1.9132, + "step": 7320 + }, + { + "epoch": 3.8, + "learning_rate": 0.0009978145795326093, + "loss": 1.8305, + "step": 7330 + }, + { + "epoch": 3.81, + "learning_rate": 0.0009977862921794272, + "loss": 1.871, + "step": 7340 + }, + { + "epoch": 3.81, + "learning_rate": 0.0009977578233366603, + "loss": 1.8928, + "step": 7350 + }, + { + "epoch": 3.82, + "learning_rate": 0.0009977291730146876, + "loss": 1.8817, + "step": 7360 + }, + { + "epoch": 3.82, + "learning_rate": 0.0009977003412239556, + "loss": 1.8307, + "step": 7370 + }, + { + "epoch": 3.83, + "learning_rate": 0.0009976713279749754, + "loss": 1.8866, + "step": 7380 + }, + { + "epoch": 3.83, + "learning_rate": 0.0009976421332783256, + "loss": 1.8442, + "step": 7390 + }, + { + "epoch": 3.84, + "learning_rate": 0.00099761275714465, + "loss": 1.8367, + "step": 7400 + }, + { + "epoch": 3.85, + "learning_rate": 0.0009975831995846591, + "loss": 1.8936, + "step": 7410 + }, + { + "epoch": 3.85, + "learning_rate": 0.0009975534606091296, + "loss": 1.807, + "step": 7420 + }, + { + "epoch": 3.86, + "learning_rate": 0.0009975235402289039, + "loss": 1.8231, + "step": 7430 + }, + { + "epoch": 3.86, + "learning_rate": 0.0009974934384548906, + "loss": 1.8122, + "step": 7440 + }, + { + "epoch": 3.87, + "learning_rate": 0.000997463155298065, + "loss": 1.8028, + "step": 7450 + }, + { + "epoch": 3.87, + "learning_rate": 0.000997432690769468, + "loss": 1.8177, + "step": 7460 + }, + { + "epoch": 3.88, + "learning_rate": 0.0009974020448802066, + "loss": 1.9069, + "step": 7470 + }, + { + "epoch": 3.88, + "learning_rate": 0.0009973712176414543, + "loss": 1.8245, + "step": 7480 + }, + { + "epoch": 3.89, + "learning_rate": 0.0009973402090644504, + "loss": 1.8876, + "step": 7490 + }, + { + "epoch": 3.89, + "learning_rate": 0.0009973090191605005, + "loss": 1.8971, + "step": 7500 + }, + { + "epoch": 3.9, + "learning_rate": 0.000997277647940976, + "loss": 1.7917, + "step": 7510 + }, + { + "epoch": 3.9, + "learning_rate": 0.000997246095417315, + "loss": 1.8608, + "step": 7520 + }, + { + "epoch": 3.91, + "learning_rate": 0.000997214361601021, + "loss": 1.7863, + "step": 7530 + }, + { + "epoch": 3.91, + "learning_rate": 0.0009971824465036642, + "loss": 1.8487, + "step": 7540 + }, + { + "epoch": 3.92, + "learning_rate": 0.0009971503501368805, + "loss": 1.8698, + "step": 7550 + }, + { + "epoch": 3.92, + "learning_rate": 0.0009971180725123722, + "loss": 1.8424, + "step": 7560 + }, + { + "epoch": 3.93, + "learning_rate": 0.000997085613641907, + "loss": 1.9235, + "step": 7570 + }, + { + "epoch": 3.93, + "learning_rate": 0.0009970529735373198, + "loss": 1.7802, + "step": 7580 + }, + { + "epoch": 3.94, + "learning_rate": 0.0009970201522105106, + "loss": 1.8938, + "step": 7590 + }, + { + "epoch": 3.94, + "learning_rate": 0.000996987149673446, + "loss": 1.7626, + "step": 7600 + }, + { + "epoch": 3.95, + "learning_rate": 0.0009969539659381583, + "loss": 1.8598, + "step": 7610 + }, + { + "epoch": 3.95, + "learning_rate": 0.0009969206010167465, + "loss": 1.8503, + "step": 7620 + }, + { + "epoch": 3.96, + "learning_rate": 0.0009968870549213749, + "loss": 1.9692, + "step": 7630 + }, + { + "epoch": 3.96, + "learning_rate": 0.0009968533276642742, + "loss": 1.8035, + "step": 7640 + }, + { + "epoch": 3.97, + "learning_rate": 0.000996819419257741, + "loss": 1.8945, + "step": 7650 + }, + { + "epoch": 3.98, + "learning_rate": 0.0009967853297141384, + "loss": 1.8432, + "step": 7660 + }, + { + "epoch": 3.98, + "learning_rate": 0.0009967510590458953, + "loss": 1.8781, + "step": 7670 + }, + { + "epoch": 3.99, + "learning_rate": 0.000996716607265506, + "loss": 1.8669, + "step": 7680 + }, + { + "epoch": 3.99, + "learning_rate": 0.0009966819743855318, + "loss": 1.8776, + "step": 7690 + }, + { + "epoch": 4.0, + "learning_rate": 0.0009966471604185997, + "loss": 1.803, + "step": 7700 + }, + { + "epoch": 4.0, + "eval_accuracy": { + "accuracy": 0.1846952010376135 + }, + "eval_f1": { + "f1": 0.1316379146314846 + }, + "eval_loss": 1.9003419876098633, + "eval_precision": { + "precision": 0.1460659091286986 + }, + "eval_recall": { + "recall": 0.1928584239028949 + }, + "eval_runtime": 112.0693, + "eval_samples_per_second": 34.398, + "eval_steps_per_second": 17.204, + "step": 7708 + }, + { + "epoch": 4.0, + "learning_rate": 0.0009966121653774023, + "loss": 1.8044, + "step": 7710 + }, + { + "epoch": 4.01, + "learning_rate": 0.000996576989274699, + "loss": 1.856, + "step": 7720 + }, + { + "epoch": 4.01, + "learning_rate": 0.0009965416321233143, + "loss": 1.7691, + "step": 7730 + }, + { + "epoch": 4.02, + "learning_rate": 0.0009965060939361393, + "loss": 1.8381, + "step": 7740 + }, + { + "epoch": 4.02, + "learning_rate": 0.0009964703747261312, + "loss": 1.9571, + "step": 7750 + }, + { + "epoch": 4.03, + "learning_rate": 0.000996434474506313, + "loss": 1.8362, + "step": 7760 + }, + { + "epoch": 4.03, + "learning_rate": 0.0009963983932897735, + "loss": 1.776, + "step": 7770 + }, + { + "epoch": 4.04, + "learning_rate": 0.0009963621310896678, + "loss": 1.8468, + "step": 7780 + }, + { + "epoch": 4.04, + "learning_rate": 0.0009963256879192165, + "loss": 1.7727, + "step": 7790 + }, + { + "epoch": 4.05, + "learning_rate": 0.0009962890637917072, + "loss": 1.8783, + "step": 7800 + }, + { + "epoch": 4.05, + "learning_rate": 0.0009962522587204923, + "loss": 1.8325, + "step": 7810 + }, + { + "epoch": 4.06, + "learning_rate": 0.0009962152727189908, + "loss": 1.8977, + "step": 7820 + }, + { + "epoch": 4.06, + "learning_rate": 0.0009961781058006876, + "loss": 1.7941, + "step": 7830 + }, + { + "epoch": 4.07, + "learning_rate": 0.0009961407579791334, + "loss": 1.7944, + "step": 7840 + }, + { + "epoch": 4.07, + "learning_rate": 0.0009961032292679453, + "loss": 1.7098, + "step": 7850 + }, + { + "epoch": 4.08, + "learning_rate": 0.0009960655196808055, + "loss": 1.9654, + "step": 7860 + }, + { + "epoch": 4.08, + "learning_rate": 0.0009960276292314632, + "loss": 1.755, + "step": 7870 + }, + { + "epoch": 4.09, + "learning_rate": 0.0009959895579337325, + "loss": 1.7779, + "step": 7880 + }, + { + "epoch": 4.09, + "learning_rate": 0.0009959513058014945, + "loss": 2.0262, + "step": 7890 + }, + { + "epoch": 4.1, + "learning_rate": 0.000995912872848695, + "loss": 1.9572, + "step": 7900 + }, + { + "epoch": 4.1, + "learning_rate": 0.000995874259089347, + "loss": 1.7426, + "step": 7910 + }, + { + "epoch": 4.11, + "learning_rate": 0.0009958354645375287, + "loss": 1.7812, + "step": 7920 + }, + { + "epoch": 4.12, + "learning_rate": 0.000995796489207384, + "loss": 1.8882, + "step": 7930 + }, + { + "epoch": 4.12, + "learning_rate": 0.0009957573331131236, + "loss": 1.8841, + "step": 7940 + }, + { + "epoch": 4.13, + "learning_rate": 0.000995717996269023, + "loss": 1.8111, + "step": 7950 + }, + { + "epoch": 4.13, + "learning_rate": 0.0009956784786894243, + "loss": 1.7847, + "step": 7960 + }, + { + "epoch": 4.14, + "learning_rate": 0.0009956387803887355, + "loss": 1.8502, + "step": 7970 + }, + { + "epoch": 4.14, + "learning_rate": 0.0009955989013814303, + "loss": 1.8171, + "step": 7980 + }, + { + "epoch": 4.15, + "learning_rate": 0.0009955588416820482, + "loss": 1.9437, + "step": 7990 + }, + { + "epoch": 4.15, + "learning_rate": 0.0009955186013051948, + "loss": 1.8288, + "step": 8000 + }, + { + "epoch": 4.16, + "learning_rate": 0.0009954781802655418, + "loss": 1.7936, + "step": 8010 + }, + { + "epoch": 4.16, + "learning_rate": 0.0009954375785778257, + "loss": 1.7904, + "step": 8020 + }, + { + "epoch": 4.17, + "learning_rate": 0.0009953967962568501, + "loss": 1.743, + "step": 8030 + }, + { + "epoch": 4.17, + "learning_rate": 0.0009953558333174839, + "loss": 1.7847, + "step": 8040 + }, + { + "epoch": 4.18, + "learning_rate": 0.0009953146897746618, + "loss": 1.8605, + "step": 8050 + }, + { + "epoch": 4.18, + "learning_rate": 0.0009952733656433848, + "loss": 1.7898, + "step": 8060 + }, + { + "epoch": 4.19, + "learning_rate": 0.000995231860938719, + "loss": 1.9566, + "step": 8070 + }, + { + "epoch": 4.19, + "learning_rate": 0.000995190175675797, + "loss": 1.8443, + "step": 8080 + }, + { + "epoch": 4.2, + "learning_rate": 0.0009951483098698168, + "loss": 1.8683, + "step": 8090 + }, + { + "epoch": 4.2, + "learning_rate": 0.0009951062635360425, + "loss": 1.786, + "step": 8100 + }, + { + "epoch": 4.21, + "learning_rate": 0.000995064036689804, + "loss": 1.8314, + "step": 8110 + }, + { + "epoch": 4.21, + "learning_rate": 0.0009950216293464966, + "loss": 1.8071, + "step": 8120 + }, + { + "epoch": 4.22, + "learning_rate": 0.000994979041521582, + "loss": 1.7505, + "step": 8130 + }, + { + "epoch": 4.22, + "learning_rate": 0.0009949362732305875, + "loss": 1.7527, + "step": 8140 + }, + { + "epoch": 4.23, + "learning_rate": 0.0009948933244891059, + "loss": 1.91, + "step": 8150 + }, + { + "epoch": 4.23, + "learning_rate": 0.0009948501953127961, + "loss": 1.7183, + "step": 8160 + }, + { + "epoch": 4.24, + "learning_rate": 0.0009948068857173829, + "loss": 1.9057, + "step": 8170 + }, + { + "epoch": 4.24, + "learning_rate": 0.0009947633957186567, + "loss": 1.7652, + "step": 8180 + }, + { + "epoch": 4.25, + "learning_rate": 0.0009947197253324731, + "loss": 1.8544, + "step": 8190 + }, + { + "epoch": 4.26, + "learning_rate": 0.0009946758745747548, + "loss": 1.9037, + "step": 8200 + }, + { + "epoch": 4.26, + "learning_rate": 0.000994631843461489, + "loss": 1.8158, + "step": 8210 + }, + { + "epoch": 4.27, + "learning_rate": 0.0009945876320087293, + "loss": 1.8054, + "step": 8220 + }, + { + "epoch": 4.27, + "learning_rate": 0.000994543240232595, + "loss": 1.9452, + "step": 8230 + }, + { + "epoch": 4.28, + "learning_rate": 0.0009944986681492708, + "loss": 1.8333, + "step": 8240 + }, + { + "epoch": 4.28, + "learning_rate": 0.0009944539157750077, + "loss": 1.7858, + "step": 8250 + }, + { + "epoch": 4.29, + "learning_rate": 0.0009944089831261218, + "loss": 1.8569, + "step": 8260 + }, + { + "epoch": 4.29, + "learning_rate": 0.0009943638702189954, + "loss": 1.9051, + "step": 8270 + }, + { + "epoch": 4.3, + "learning_rate": 0.0009943185770700767, + "loss": 1.8262, + "step": 8280 + }, + { + "epoch": 4.3, + "learning_rate": 0.0009942731036958784, + "loss": 1.7873, + "step": 8290 + }, + { + "epoch": 4.31, + "learning_rate": 0.0009942274501129808, + "loss": 1.9258, + "step": 8300 + }, + { + "epoch": 4.31, + "learning_rate": 0.0009941816163380284, + "loss": 1.7442, + "step": 8310 + }, + { + "epoch": 4.32, + "learning_rate": 0.0009941356023877317, + "loss": 1.7348, + "step": 8320 + }, + { + "epoch": 4.32, + "learning_rate": 0.0009940894082788674, + "loss": 1.8439, + "step": 8330 + }, + { + "epoch": 4.33, + "learning_rate": 0.0009940430340282776, + "loss": 1.9081, + "step": 8340 + }, + { + "epoch": 4.33, + "learning_rate": 0.0009939964796528698, + "loss": 1.8382, + "step": 8350 + }, + { + "epoch": 4.34, + "learning_rate": 0.0009939497451696175, + "loss": 1.754, + "step": 8360 + }, + { + "epoch": 4.34, + "learning_rate": 0.00099390283059556, + "loss": 1.7955, + "step": 8370 + }, + { + "epoch": 4.35, + "learning_rate": 0.0009938557359478017, + "loss": 1.6966, + "step": 8380 + }, + { + "epoch": 4.35, + "learning_rate": 0.000993808461243513, + "loss": 1.7841, + "step": 8390 + }, + { + "epoch": 4.36, + "learning_rate": 0.0009937610064999305, + "loss": 1.9377, + "step": 8400 + }, + { + "epoch": 4.36, + "learning_rate": 0.0009937133717343553, + "loss": 2.106, + "step": 8410 + }, + { + "epoch": 4.37, + "learning_rate": 0.0009936655569641548, + "loss": 1.874, + "step": 8420 + }, + { + "epoch": 4.37, + "learning_rate": 0.0009936175622067623, + "loss": 1.9231, + "step": 8430 + }, + { + "epoch": 4.38, + "learning_rate": 0.0009935693874796759, + "loss": 1.8391, + "step": 8440 + }, + { + "epoch": 4.39, + "learning_rate": 0.00099352103280046, + "loss": 1.8697, + "step": 8450 + }, + { + "epoch": 4.39, + "learning_rate": 0.0009934724981867447, + "loss": 1.8482, + "step": 8460 + }, + { + "epoch": 4.4, + "learning_rate": 0.0009934237836562248, + "loss": 1.7992, + "step": 8470 + }, + { + "epoch": 4.4, + "learning_rate": 0.000993374889226662, + "loss": 1.8635, + "step": 8480 + }, + { + "epoch": 4.41, + "learning_rate": 0.000993325814915882, + "loss": 1.9378, + "step": 8490 + }, + { + "epoch": 4.41, + "learning_rate": 0.0009932765607417778, + "loss": 1.7518, + "step": 8500 + }, + { + "epoch": 4.42, + "learning_rate": 0.0009932271267223064, + "loss": 1.8512, + "step": 8510 + }, + { + "epoch": 4.42, + "learning_rate": 0.000993177512875492, + "loss": 1.8, + "step": 8520 + }, + { + "epoch": 4.43, + "learning_rate": 0.0009931277192194228, + "loss": 1.9404, + "step": 8530 + }, + { + "epoch": 4.43, + "learning_rate": 0.0009930777457722534, + "loss": 1.8171, + "step": 8540 + }, + { + "epoch": 4.44, + "learning_rate": 0.000993027592552204, + "loss": 1.853, + "step": 8550 + }, + { + "epoch": 4.44, + "learning_rate": 0.0009929772595775597, + "loss": 1.7074, + "step": 8560 + }, + { + "epoch": 4.45, + "learning_rate": 0.000992926746866672, + "loss": 1.886, + "step": 8570 + }, + { + "epoch": 4.45, + "learning_rate": 0.0009928760544379571, + "loss": 1.786, + "step": 8580 + }, + { + "epoch": 4.46, + "learning_rate": 0.0009928251823098976, + "loss": 1.7788, + "step": 8590 + }, + { + "epoch": 4.46, + "learning_rate": 0.0009927741305010408, + "loss": 1.7721, + "step": 8600 + }, + { + "epoch": 4.47, + "learning_rate": 0.0009927228990299999, + "loss": 1.8738, + "step": 8610 + }, + { + "epoch": 4.47, + "learning_rate": 0.0009926714879154538, + "loss": 1.8784, + "step": 8620 + }, + { + "epoch": 4.48, + "learning_rate": 0.0009926198971761462, + "loss": 1.7806, + "step": 8630 + }, + { + "epoch": 4.48, + "learning_rate": 0.000992568126830887, + "loss": 1.7354, + "step": 8640 + }, + { + "epoch": 4.49, + "learning_rate": 0.0009925161768985515, + "loss": 1.8456, + "step": 8650 + }, + { + "epoch": 4.49, + "learning_rate": 0.00099246404739808, + "loss": 1.9295, + "step": 8660 + }, + { + "epoch": 4.5, + "learning_rate": 0.0009924117383484788, + "loss": 1.7736, + "step": 8670 + }, + { + "epoch": 4.5, + "learning_rate": 0.0009923592497688193, + "loss": 1.9097, + "step": 8680 + }, + { + "epoch": 4.51, + "learning_rate": 0.0009923065816782382, + "loss": 1.7617, + "step": 8690 + }, + { + "epoch": 4.51, + "learning_rate": 0.0009922537340959386, + "loss": 1.8676, + "step": 8700 + }, + { + "epoch": 4.52, + "learning_rate": 0.000992200707041188, + "loss": 1.8388, + "step": 8710 + }, + { + "epoch": 4.53, + "learning_rate": 0.0009921475005333195, + "loss": 1.8154, + "step": 8720 + }, + { + "epoch": 4.53, + "learning_rate": 0.0009920941145917322, + "loss": 1.9333, + "step": 8730 + }, + { + "epoch": 4.54, + "learning_rate": 0.00099204054923589, + "loss": 1.843, + "step": 8740 + }, + { + "epoch": 4.54, + "learning_rate": 0.0009919868044853228, + "loss": 1.9432, + "step": 8750 + }, + { + "epoch": 4.55, + "learning_rate": 0.0009919328803596255, + "loss": 1.7557, + "step": 8760 + }, + { + "epoch": 4.55, + "learning_rate": 0.0009918787768784581, + "loss": 1.805, + "step": 8770 + }, + { + "epoch": 4.56, + "learning_rate": 0.0009918244940615468, + "loss": 1.8165, + "step": 8780 + }, + { + "epoch": 4.56, + "learning_rate": 0.0009917700319286827, + "loss": 1.8896, + "step": 8790 + }, + { + "epoch": 4.57, + "learning_rate": 0.000991715390499722, + "loss": 1.8423, + "step": 8800 + }, + { + "epoch": 4.57, + "learning_rate": 0.000991660569794587, + "loss": 1.9545, + "step": 8810 + }, + { + "epoch": 4.58, + "learning_rate": 0.0009916055698332646, + "loss": 1.8081, + "step": 8820 + }, + { + "epoch": 4.58, + "learning_rate": 0.0009915503906358079, + "loss": 1.7959, + "step": 8830 + }, + { + "epoch": 4.59, + "learning_rate": 0.0009914950322223344, + "loss": 1.7619, + "step": 8840 + }, + { + "epoch": 4.59, + "learning_rate": 0.0009914394946130276, + "loss": 1.6856, + "step": 8850 + }, + { + "epoch": 4.6, + "learning_rate": 0.0009913837778281363, + "loss": 1.8222, + "step": 8860 + }, + { + "epoch": 4.6, + "learning_rate": 0.000991327881887974, + "loss": 1.7221, + "step": 8870 + }, + { + "epoch": 4.61, + "learning_rate": 0.0009912718068129207, + "loss": 1.7537, + "step": 8880 + }, + { + "epoch": 4.61, + "learning_rate": 0.0009912155526234203, + "loss": 1.7016, + "step": 8890 + }, + { + "epoch": 4.62, + "learning_rate": 0.0009911591193399831, + "loss": 1.84, + "step": 8900 + }, + { + "epoch": 4.62, + "learning_rate": 0.0009911025069831842, + "loss": 1.8604, + "step": 8910 + }, + { + "epoch": 4.63, + "learning_rate": 0.0009910457155736642, + "loss": 1.7591, + "step": 8920 + }, + { + "epoch": 4.63, + "learning_rate": 0.0009909887451321287, + "loss": 1.8894, + "step": 8930 + }, + { + "epoch": 4.64, + "learning_rate": 0.000990931595679349, + "loss": 1.8903, + "step": 8940 + }, + { + "epoch": 4.64, + "learning_rate": 0.000990874267236161, + "loss": 1.8954, + "step": 8950 + }, + { + "epoch": 4.65, + "learning_rate": 0.0009908167598234666, + "loss": 1.7949, + "step": 8960 + }, + { + "epoch": 4.65, + "learning_rate": 0.0009907590734622325, + "loss": 1.8333, + "step": 8970 + }, + { + "epoch": 4.66, + "learning_rate": 0.000990701208173491, + "loss": 1.8182, + "step": 8980 + }, + { + "epoch": 4.67, + "learning_rate": 0.000990643163978339, + "loss": 1.8232, + "step": 8990 + }, + { + "epoch": 4.67, + "learning_rate": 0.000990584940897939, + "loss": 1.6914, + "step": 9000 + }, + { + "epoch": 4.68, + "learning_rate": 0.0009905265389535192, + "loss": 1.8622, + "step": 9010 + }, + { + "epoch": 4.68, + "learning_rate": 0.0009904679581663723, + "loss": 1.8321, + "step": 9020 + }, + { + "epoch": 4.69, + "learning_rate": 0.0009904091985578564, + "loss": 1.8133, + "step": 9030 + }, + { + "epoch": 4.69, + "learning_rate": 0.0009903502601493952, + "loss": 1.825, + "step": 9040 + }, + { + "epoch": 4.7, + "learning_rate": 0.000990291142962477, + "loss": 1.8074, + "step": 9050 + }, + { + "epoch": 4.7, + "learning_rate": 0.0009902318470186554, + "loss": 1.7792, + "step": 9060 + }, + { + "epoch": 4.71, + "learning_rate": 0.0009901723723395495, + "loss": 1.8017, + "step": 9070 + }, + { + "epoch": 4.71, + "learning_rate": 0.0009901127189468433, + "loss": 1.8355, + "step": 9080 + }, + { + "epoch": 4.72, + "learning_rate": 0.0009900528868622862, + "loss": 1.7781, + "step": 9090 + }, + { + "epoch": 4.72, + "learning_rate": 0.0009899928761076923, + "loss": 1.7382, + "step": 9100 + }, + { + "epoch": 4.73, + "learning_rate": 0.0009899326867049414, + "loss": 1.7697, + "step": 9110 + }, + { + "epoch": 4.73, + "learning_rate": 0.000989872318675978, + "loss": 1.7791, + "step": 9120 + }, + { + "epoch": 4.74, + "learning_rate": 0.0009898117720428118, + "loss": 1.853, + "step": 9130 + }, + { + "epoch": 4.74, + "learning_rate": 0.0009897510468275179, + "loss": 1.8826, + "step": 9140 + }, + { + "epoch": 4.75, + "learning_rate": 0.0009896901430522362, + "loss": 1.9778, + "step": 9150 + }, + { + "epoch": 4.75, + "learning_rate": 0.0009896290607391718, + "loss": 1.9321, + "step": 9160 + }, + { + "epoch": 4.76, + "learning_rate": 0.000989567799910595, + "loss": 1.9429, + "step": 9170 + }, + { + "epoch": 4.76, + "learning_rate": 0.000989506360588841, + "loss": 1.9588, + "step": 9180 + }, + { + "epoch": 4.77, + "learning_rate": 0.0009894447427963103, + "loss": 1.9601, + "step": 9190 + }, + { + "epoch": 4.77, + "learning_rate": 0.0009893829465554681, + "loss": 1.9501, + "step": 9200 + }, + { + "epoch": 4.78, + "learning_rate": 0.0009893209718888454, + "loss": 1.9414, + "step": 9210 + }, + { + "epoch": 4.78, + "learning_rate": 0.0009892588188190371, + "loss": 2.0087, + "step": 9220 + }, + { + "epoch": 4.79, + "learning_rate": 0.0009891964873687041, + "loss": 1.9263, + "step": 9230 + }, + { + "epoch": 4.8, + "learning_rate": 0.000989133977560572, + "loss": 1.9342, + "step": 9240 + }, + { + "epoch": 4.8, + "learning_rate": 0.0009890712894174316, + "loss": 1.9505, + "step": 9250 + }, + { + "epoch": 4.81, + "learning_rate": 0.0009890084229621384, + "loss": 1.9658, + "step": 9260 + }, + { + "epoch": 4.81, + "learning_rate": 0.0009889453782176132, + "loss": 1.9293, + "step": 9270 + }, + { + "epoch": 4.82, + "learning_rate": 0.0009888821552068417, + "loss": 1.946, + "step": 9280 + }, + { + "epoch": 4.82, + "learning_rate": 0.0009888187539528746, + "loss": 2.0008, + "step": 9290 + }, + { + "epoch": 4.83, + "learning_rate": 0.0009887551744788272, + "loss": 1.9339, + "step": 9300 + }, + { + "epoch": 4.83, + "learning_rate": 0.0009886914168078808, + "loss": 1.9194, + "step": 9310 + }, + { + "epoch": 4.84, + "learning_rate": 0.0009886274809632807, + "loss": 1.9403, + "step": 9320 + }, + { + "epoch": 4.84, + "learning_rate": 0.0009885633669683375, + "loss": 1.9332, + "step": 9330 + }, + { + "epoch": 4.85, + "learning_rate": 0.0009884990748464267, + "loss": 1.9838, + "step": 9340 + }, + { + "epoch": 4.85, + "learning_rate": 0.0009884346046209887, + "loss": 1.9355, + "step": 9350 + }, + { + "epoch": 4.86, + "learning_rate": 0.0009883699563155292, + "loss": 1.9767, + "step": 9360 + }, + { + "epoch": 4.86, + "learning_rate": 0.0009883051299536183, + "loss": 1.9497, + "step": 9370 + }, + { + "epoch": 4.87, + "learning_rate": 0.0009882401255588912, + "loss": 1.9496, + "step": 9380 + }, + { + "epoch": 4.87, + "learning_rate": 0.0009881749431550485, + "loss": 1.9549, + "step": 9390 + }, + { + "epoch": 4.88, + "learning_rate": 0.000988109582765855, + "loss": 1.937, + "step": 9400 + }, + { + "epoch": 4.88, + "learning_rate": 0.0009880440444151404, + "loss": 1.9494, + "step": 9410 + }, + { + "epoch": 4.89, + "learning_rate": 0.0009879783281267999, + "loss": 1.9397, + "step": 9420 + }, + { + "epoch": 4.89, + "learning_rate": 0.000987912433924793, + "loss": 1.9257, + "step": 9430 + }, + { + "epoch": 4.9, + "learning_rate": 0.0009878463618331445, + "loss": 1.8816, + "step": 9440 + }, + { + "epoch": 4.9, + "learning_rate": 0.0009877801118759438, + "loss": 1.9802, + "step": 9450 + }, + { + "epoch": 4.91, + "learning_rate": 0.0009877136840773452, + "loss": 1.9163, + "step": 9460 + }, + { + "epoch": 4.91, + "learning_rate": 0.0009876470784615677, + "loss": 1.8752, + "step": 9470 + }, + { + "epoch": 4.92, + "learning_rate": 0.0009875802950528954, + "loss": 1.9372, + "step": 9480 + }, + { + "epoch": 4.92, + "learning_rate": 0.000987513333875677, + "loss": 1.8707, + "step": 9490 + }, + { + "epoch": 4.93, + "learning_rate": 0.0009874461949543262, + "loss": 1.7964, + "step": 9500 + }, + { + "epoch": 4.94, + "learning_rate": 0.0009873788783133213, + "loss": 1.8374, + "step": 9510 + }, + { + "epoch": 4.94, + "learning_rate": 0.0009873113839772058, + "loss": 1.7562, + "step": 9520 + }, + { + "epoch": 4.95, + "learning_rate": 0.0009872437119705871, + "loss": 1.7843, + "step": 9530 + }, + { + "epoch": 4.95, + "learning_rate": 0.0009871758623181384, + "loss": 1.7316, + "step": 9540 + }, + { + "epoch": 4.96, + "learning_rate": 0.0009871078350445971, + "loss": 1.8084, + "step": 9550 + }, + { + "epoch": 4.96, + "learning_rate": 0.0009870396301747658, + "loss": 1.8954, + "step": 9560 + }, + { + "epoch": 4.97, + "learning_rate": 0.000986971247733511, + "loss": 1.7907, + "step": 9570 + }, + { + "epoch": 4.97, + "learning_rate": 0.0009869026877457649, + "loss": 1.9981, + "step": 9580 + }, + { + "epoch": 4.98, + "learning_rate": 0.0009868339502365237, + "loss": 1.8354, + "step": 9590 + }, + { + "epoch": 4.98, + "learning_rate": 0.000986765035230849, + "loss": 1.8247, + "step": 9600 + }, + { + "epoch": 4.99, + "learning_rate": 0.0009866959427538666, + "loss": 1.7769, + "step": 9610 + }, + { + "epoch": 4.99, + "learning_rate": 0.000986626672830767, + "loss": 1.8071, + "step": 9620 + }, + { + "epoch": 5.0, + "learning_rate": 0.0009865572254868058, + "loss": 1.8121, + "step": 9630 + }, + { + "epoch": 5.0, + "eval_accuracy": { + "accuracy": 0.33229571984435796 + }, + "eval_f1": { + "f1": 0.24134878979912178 + }, + "eval_loss": 1.7385518550872803, + "eval_precision": { + "precision": 0.2476900084001273 + }, + "eval_recall": { + "recall": 0.3378007007551934 + }, + "eval_runtime": 102.5366, + "eval_samples_per_second": 37.596, + "eval_steps_per_second": 18.803, + "step": 9635 + }, + { + "epoch": 5.0, + "learning_rate": 0.000986487600747303, + "loss": 1.842, + "step": 9640 + }, + { + "epoch": 5.01, + "learning_rate": 0.0009864177986376428, + "loss": 1.6668, + "step": 9650 + }, + { + "epoch": 5.01, + "learning_rate": 0.0009863478191832755, + "loss": 1.7779, + "step": 9660 + }, + { + "epoch": 5.02, + "learning_rate": 0.0009862776624097146, + "loss": 1.9484, + "step": 9670 + }, + { + "epoch": 5.02, + "learning_rate": 0.0009862073283425387, + "loss": 1.7389, + "step": 9680 + }, + { + "epoch": 5.03, + "learning_rate": 0.0009861368170073915, + "loss": 1.7946, + "step": 9690 + }, + { + "epoch": 5.03, + "learning_rate": 0.0009860661284299807, + "loss": 1.9001, + "step": 9700 + }, + { + "epoch": 5.04, + "learning_rate": 0.000985995262636079, + "loss": 1.8473, + "step": 9710 + }, + { + "epoch": 5.04, + "learning_rate": 0.0009859242196515235, + "loss": 1.8383, + "step": 9720 + }, + { + "epoch": 5.05, + "learning_rate": 0.0009858529995022162, + "loss": 1.7071, + "step": 9730 + }, + { + "epoch": 5.05, + "learning_rate": 0.0009857816022141232, + "loss": 1.7298, + "step": 9740 + }, + { + "epoch": 5.06, + "learning_rate": 0.0009857100278132759, + "loss": 1.7207, + "step": 9750 + }, + { + "epoch": 5.06, + "learning_rate": 0.0009856382763257694, + "loss": 1.7967, + "step": 9760 + }, + { + "epoch": 5.07, + "learning_rate": 0.0009855663477777638, + "loss": 1.8998, + "step": 9770 + }, + { + "epoch": 5.08, + "learning_rate": 0.0009854942421954843, + "loss": 1.8676, + "step": 9780 + }, + { + "epoch": 5.08, + "learning_rate": 0.0009854219596052197, + "loss": 1.9189, + "step": 9790 + }, + { + "epoch": 5.09, + "learning_rate": 0.000985349500033324, + "loss": 1.7721, + "step": 9800 + }, + { + "epoch": 5.09, + "learning_rate": 0.000985276863506215, + "loss": 1.8258, + "step": 9810 + }, + { + "epoch": 5.1, + "learning_rate": 0.0009852040500503761, + "loss": 1.7623, + "step": 9820 + }, + { + "epoch": 5.1, + "learning_rate": 0.0009851310596923541, + "loss": 1.7993, + "step": 9830 + }, + { + "epoch": 5.11, + "learning_rate": 0.0009850578924587613, + "loss": 1.7903, + "step": 9840 + }, + { + "epoch": 5.11, + "learning_rate": 0.0009849845483762736, + "loss": 1.8658, + "step": 9850 + }, + { + "epoch": 5.12, + "learning_rate": 0.000984911027471632, + "loss": 1.8133, + "step": 9860 + }, + { + "epoch": 5.12, + "learning_rate": 0.0009848373297716413, + "loss": 1.842, + "step": 9870 + }, + { + "epoch": 5.13, + "learning_rate": 0.000984763455303172, + "loss": 1.7339, + "step": 9880 + }, + { + "epoch": 5.13, + "learning_rate": 0.0009846894040931573, + "loss": 1.7764, + "step": 9890 + }, + { + "epoch": 5.14, + "learning_rate": 0.0009846151761685965, + "loss": 1.832, + "step": 9900 + }, + { + "epoch": 5.14, + "learning_rate": 0.0009845407715565523, + "loss": 1.8243, + "step": 9910 + }, + { + "epoch": 5.15, + "learning_rate": 0.0009844661902841522, + "loss": 1.8842, + "step": 9920 + }, + { + "epoch": 5.15, + "learning_rate": 0.0009843914323785878, + "loss": 1.8539, + "step": 9930 + }, + { + "epoch": 5.16, + "learning_rate": 0.0009843164978671159, + "loss": 1.7264, + "step": 9940 + }, + { + "epoch": 5.16, + "learning_rate": 0.0009842413867770566, + "loss": 1.8868, + "step": 9950 + }, + { + "epoch": 5.17, + "learning_rate": 0.000984166099135795, + "loss": 1.7069, + "step": 9960 + }, + { + "epoch": 5.17, + "learning_rate": 0.0009840906349707808, + "loss": 1.7897, + "step": 9970 + }, + { + "epoch": 5.18, + "learning_rate": 0.0009840149943095274, + "loss": 1.7677, + "step": 9980 + }, + { + "epoch": 5.18, + "learning_rate": 0.0009839391771796129, + "loss": 1.643, + "step": 9990 + }, + { + "epoch": 5.19, + "learning_rate": 0.0009838631836086797, + "loss": 1.7819, + "step": 10000 + }, + { + "epoch": 5.19, + "learning_rate": 0.000983787013624435, + "loss": 1.8601, + "step": 10010 + }, + { + "epoch": 5.2, + "learning_rate": 0.0009837106672546492, + "loss": 1.7895, + "step": 10020 + }, + { + "epoch": 5.2, + "learning_rate": 0.0009836341445271582, + "loss": 1.8085, + "step": 10030 + }, + { + "epoch": 5.21, + "learning_rate": 0.0009835574454698612, + "loss": 1.787, + "step": 10040 + }, + { + "epoch": 5.22, + "learning_rate": 0.0009834805701107229, + "loss": 1.8519, + "step": 10050 + }, + { + "epoch": 5.22, + "learning_rate": 0.0009834035184777708, + "loss": 1.7236, + "step": 10060 + }, + { + "epoch": 5.23, + "learning_rate": 0.0009833262905990978, + "loss": 1.8543, + "step": 10070 + }, + { + "epoch": 5.23, + "learning_rate": 0.0009832488865028606, + "loss": 1.6843, + "step": 10080 + }, + { + "epoch": 5.24, + "learning_rate": 0.0009831713062172802, + "loss": 1.6678, + "step": 10090 + }, + { + "epoch": 5.24, + "learning_rate": 0.000983093549770642, + "loss": 1.9228, + "step": 10100 + }, + { + "epoch": 5.25, + "learning_rate": 0.000983015617191295, + "loss": 1.7595, + "step": 10110 + }, + { + "epoch": 5.25, + "learning_rate": 0.0009829375085076534, + "loss": 1.7518, + "step": 10120 + }, + { + "epoch": 5.26, + "learning_rate": 0.0009828592237481953, + "loss": 1.7682, + "step": 10130 + }, + { + "epoch": 5.26, + "learning_rate": 0.0009827807629414623, + "loss": 1.7051, + "step": 10140 + }, + { + "epoch": 5.27, + "learning_rate": 0.0009827021261160607, + "loss": 1.7019, + "step": 10150 + }, + { + "epoch": 5.27, + "learning_rate": 0.0009826233133006612, + "loss": 1.6837, + "step": 10160 + }, + { + "epoch": 5.28, + "learning_rate": 0.0009825443245239985, + "loss": 1.7594, + "step": 10170 + }, + { + "epoch": 5.28, + "learning_rate": 0.000982465159814871, + "loss": 1.867, + "step": 10180 + }, + { + "epoch": 5.29, + "learning_rate": 0.000982385819202142, + "loss": 1.6618, + "step": 10190 + }, + { + "epoch": 5.29, + "learning_rate": 0.0009823063027147383, + "loss": 1.6971, + "step": 10200 + }, + { + "epoch": 5.3, + "learning_rate": 0.0009822266103816516, + "loss": 1.9753, + "step": 10210 + }, + { + "epoch": 5.3, + "learning_rate": 0.0009821467422319364, + "loss": 1.7991, + "step": 10220 + }, + { + "epoch": 5.31, + "learning_rate": 0.0009820666982947126, + "loss": 1.8229, + "step": 10230 + }, + { + "epoch": 5.31, + "learning_rate": 0.0009819864785991638, + "loss": 1.8833, + "step": 10240 + }, + { + "epoch": 5.32, + "learning_rate": 0.0009819060831745372, + "loss": 1.8254, + "step": 10250 + }, + { + "epoch": 5.32, + "learning_rate": 0.0009818255120501447, + "loss": 1.7899, + "step": 10260 + }, + { + "epoch": 5.33, + "learning_rate": 0.0009817447652553618, + "loss": 1.7448, + "step": 10270 + }, + { + "epoch": 5.33, + "learning_rate": 0.0009816638428196286, + "loss": 1.7687, + "step": 10280 + }, + { + "epoch": 5.34, + "learning_rate": 0.0009815827447724483, + "loss": 1.7017, + "step": 10290 + }, + { + "epoch": 5.35, + "learning_rate": 0.0009815014711433891, + "loss": 1.6916, + "step": 10300 + }, + { + "epoch": 5.35, + "learning_rate": 0.000981420021962083, + "loss": 1.6695, + "step": 10310 + }, + { + "epoch": 5.36, + "learning_rate": 0.0009813383972582254, + "loss": 1.916, + "step": 10320 + }, + { + "epoch": 5.36, + "learning_rate": 0.0009812565970615766, + "loss": 1.8299, + "step": 10330 + }, + { + "epoch": 5.37, + "learning_rate": 0.0009811746214019599, + "loss": 1.7731, + "step": 10340 + }, + { + "epoch": 5.37, + "learning_rate": 0.0009810924703092634, + "loss": 1.8146, + "step": 10350 + }, + { + "epoch": 5.38, + "learning_rate": 0.0009810101438134388, + "loss": 1.794, + "step": 10360 + }, + { + "epoch": 5.38, + "learning_rate": 0.0009809276419445018, + "loss": 1.7443, + "step": 10370 + }, + { + "epoch": 5.39, + "learning_rate": 0.000980844964732532, + "loss": 1.6457, + "step": 10380 + }, + { + "epoch": 5.39, + "learning_rate": 0.0009807621122076729, + "loss": 1.7514, + "step": 10390 + }, + { + "epoch": 5.4, + "learning_rate": 0.000980679084400132, + "loss": 1.7748, + "step": 10400 + }, + { + "epoch": 5.4, + "learning_rate": 0.0009805958813401809, + "loss": 1.8627, + "step": 10410 + }, + { + "epoch": 5.41, + "learning_rate": 0.0009805125030581546, + "loss": 1.9099, + "step": 10420 + }, + { + "epoch": 5.41, + "learning_rate": 0.0009804289495844525, + "loss": 1.8258, + "step": 10430 + }, + { + "epoch": 5.42, + "learning_rate": 0.0009803452209495374, + "loss": 1.8714, + "step": 10440 + }, + { + "epoch": 5.42, + "learning_rate": 0.0009802613171839363, + "loss": 1.7998, + "step": 10450 + }, + { + "epoch": 5.43, + "learning_rate": 0.0009801772383182402, + "loss": 1.7625, + "step": 10460 + }, + { + "epoch": 5.43, + "learning_rate": 0.0009800929843831034, + "loss": 1.8561, + "step": 10470 + }, + { + "epoch": 5.44, + "learning_rate": 0.0009800085554092443, + "loss": 1.7429, + "step": 10480 + }, + { + "epoch": 5.44, + "learning_rate": 0.0009799239514274455, + "loss": 1.8117, + "step": 10490 + }, + { + "epoch": 5.45, + "learning_rate": 0.0009798391724685526, + "loss": 1.5906, + "step": 10500 + }, + { + "epoch": 5.45, + "learning_rate": 0.0009797542185634757, + "loss": 1.7367, + "step": 10510 + }, + { + "epoch": 5.46, + "learning_rate": 0.0009796690897431886, + "loss": 1.8763, + "step": 10520 + }, + { + "epoch": 5.46, + "learning_rate": 0.0009795837860387285, + "loss": 1.7159, + "step": 10530 + }, + { + "epoch": 5.47, + "learning_rate": 0.0009794983074811962, + "loss": 1.6452, + "step": 10540 + }, + { + "epoch": 5.47, + "learning_rate": 0.0009794126541017574, + "loss": 1.7642, + "step": 10550 + }, + { + "epoch": 5.48, + "learning_rate": 0.0009793268259316401, + "loss": 1.7403, + "step": 10560 + }, + { + "epoch": 5.49, + "learning_rate": 0.0009792408230021369, + "loss": 1.8482, + "step": 10570 + }, + { + "epoch": 5.49, + "learning_rate": 0.000979154645344604, + "loss": 1.8208, + "step": 10580 + }, + { + "epoch": 5.5, + "learning_rate": 0.0009790682929904611, + "loss": 1.8134, + "step": 10590 + }, + { + "epoch": 5.5, + "learning_rate": 0.0009789817659711917, + "loss": 1.7651, + "step": 10600 + }, + { + "epoch": 5.51, + "learning_rate": 0.000978895064318343, + "loss": 1.7863, + "step": 10610 + }, + { + "epoch": 5.51, + "learning_rate": 0.000978808188063526, + "loss": 1.7277, + "step": 10620 + }, + { + "epoch": 5.52, + "learning_rate": 0.0009787211372384147, + "loss": 1.777, + "step": 10630 + }, + { + "epoch": 5.52, + "learning_rate": 0.0009786339118747478, + "loss": 1.7441, + "step": 10640 + }, + { + "epoch": 5.53, + "learning_rate": 0.000978546512004327, + "loss": 1.9068, + "step": 10650 + }, + { + "epoch": 5.53, + "learning_rate": 0.0009784589376590175, + "loss": 1.7786, + "step": 10660 + }, + { + "epoch": 5.54, + "learning_rate": 0.0009783711888707485, + "loss": 1.7149, + "step": 10670 + }, + { + "epoch": 5.54, + "learning_rate": 0.0009782832656715123, + "loss": 1.7479, + "step": 10680 + }, + { + "epoch": 5.55, + "learning_rate": 0.0009781951680933657, + "loss": 1.7153, + "step": 10690 + }, + { + "epoch": 5.55, + "learning_rate": 0.0009781068961684282, + "loss": 1.8753, + "step": 10700 + }, + { + "epoch": 5.56, + "learning_rate": 0.000978018449928883, + "loss": 1.7972, + "step": 10710 + }, + { + "epoch": 5.56, + "learning_rate": 0.000977929829406977, + "loss": 1.6859, + "step": 10720 + }, + { + "epoch": 5.57, + "learning_rate": 0.0009778410346350209, + "loss": 1.8016, + "step": 10730 + }, + { + "epoch": 5.57, + "learning_rate": 0.0009777520656453886, + "loss": 1.6856, + "step": 10740 + }, + { + "epoch": 5.58, + "learning_rate": 0.0009776629224705175, + "loss": 1.7482, + "step": 10750 + }, + { + "epoch": 5.58, + "learning_rate": 0.000977573605142909, + "loss": 1.7562, + "step": 10760 + }, + { + "epoch": 5.59, + "learning_rate": 0.000977484113695127, + "loss": 1.7686, + "step": 10770 + }, + { + "epoch": 5.59, + "learning_rate": 0.0009773944481598, + "loss": 1.8105, + "step": 10780 + }, + { + "epoch": 5.6, + "learning_rate": 0.0009773046085696192, + "loss": 1.8326, + "step": 10790 + }, + { + "epoch": 5.6, + "learning_rate": 0.0009772145949573394, + "loss": 1.7717, + "step": 10800 + }, + { + "epoch": 5.61, + "learning_rate": 0.0009771244073557793, + "loss": 1.8094, + "step": 10810 + }, + { + "epoch": 5.61, + "learning_rate": 0.0009770340457978205, + "loss": 1.7605, + "step": 10820 + }, + { + "epoch": 5.62, + "learning_rate": 0.0009769435103164084, + "loss": 1.7474, + "step": 10830 + }, + { + "epoch": 5.63, + "learning_rate": 0.0009768528009445512, + "loss": 1.7731, + "step": 10840 + }, + { + "epoch": 5.63, + "learning_rate": 0.0009767619177153215, + "loss": 1.8068, + "step": 10850 + }, + { + "epoch": 5.64, + "learning_rate": 0.0009766708606618543, + "loss": 1.8979, + "step": 10860 + }, + { + "epoch": 5.64, + "learning_rate": 0.0009765796298173487, + "loss": 1.7847, + "step": 10870 + }, + { + "epoch": 5.65, + "learning_rate": 0.0009764882252150666, + "loss": 1.8401, + "step": 10880 + }, + { + "epoch": 5.65, + "learning_rate": 0.0009763966468883338, + "loss": 1.5723, + "step": 10890 + }, + { + "epoch": 5.66, + "learning_rate": 0.0009763048948705389, + "loss": 1.7514, + "step": 10900 + }, + { + "epoch": 5.66, + "learning_rate": 0.0009762129691951343, + "loss": 1.7905, + "step": 10910 + }, + { + "epoch": 5.67, + "learning_rate": 0.0009761208698956352, + "loss": 1.907, + "step": 10920 + }, + { + "epoch": 5.67, + "learning_rate": 0.0009760285970056205, + "loss": 1.8021, + "step": 10930 + }, + { + "epoch": 5.68, + "learning_rate": 0.0009759361505587324, + "loss": 1.6455, + "step": 10940 + }, + { + "epoch": 5.68, + "learning_rate": 0.0009758435305886763, + "loss": 1.8394, + "step": 10950 + }, + { + "epoch": 5.69, + "learning_rate": 0.0009757507371292207, + "loss": 1.7937, + "step": 10960 + }, + { + "epoch": 5.69, + "learning_rate": 0.0009756577702141973, + "loss": 1.7578, + "step": 10970 + }, + { + "epoch": 5.7, + "learning_rate": 0.0009755646298775016, + "loss": 1.7708, + "step": 10980 + }, + { + "epoch": 5.7, + "learning_rate": 0.0009754713161530919, + "loss": 1.8778, + "step": 10990 + }, + { + "epoch": 5.71, + "learning_rate": 0.0009753778290749895, + "loss": 1.843, + "step": 11000 + }, + { + "epoch": 5.71, + "learning_rate": 0.0009752841686772793, + "loss": 1.8345, + "step": 11010 + }, + { + "epoch": 5.72, + "learning_rate": 0.0009751903349941094, + "loss": 1.6698, + "step": 11020 + }, + { + "epoch": 5.72, + "learning_rate": 0.0009750963280596907, + "loss": 1.7422, + "step": 11030 + }, + { + "epoch": 5.73, + "learning_rate": 0.0009750021479082977, + "loss": 1.8949, + "step": 11040 + }, + { + "epoch": 5.73, + "learning_rate": 0.0009749077945742677, + "loss": 1.806, + "step": 11050 + }, + { + "epoch": 5.74, + "learning_rate": 0.0009748132680920014, + "loss": 1.7548, + "step": 11060 + }, + { + "epoch": 5.74, + "learning_rate": 0.0009747185684959625, + "loss": 1.795, + "step": 11070 + }, + { + "epoch": 5.75, + "learning_rate": 0.0009746236958206779, + "loss": 1.7781, + "step": 11080 + }, + { + "epoch": 5.76, + "learning_rate": 0.0009745286501007376, + "loss": 1.787, + "step": 11090 + }, + { + "epoch": 5.76, + "learning_rate": 0.0009744334313707944, + "loss": 1.8119, + "step": 11100 + }, + { + "epoch": 5.77, + "learning_rate": 0.0009743380396655646, + "loss": 1.7497, + "step": 11110 + }, + { + "epoch": 5.77, + "learning_rate": 0.0009742424750198273, + "loss": 1.7348, + "step": 11120 + }, + { + "epoch": 5.78, + "learning_rate": 0.0009741467374684247, + "loss": 1.7012, + "step": 11130 + }, + { + "epoch": 5.78, + "learning_rate": 0.0009740508270462625, + "loss": 1.816, + "step": 11140 + }, + { + "epoch": 5.79, + "learning_rate": 0.0009739547437883084, + "loss": 1.7649, + "step": 11150 + }, + { + "epoch": 5.79, + "learning_rate": 0.000973858487729594, + "loss": 1.8383, + "step": 11160 + }, + { + "epoch": 5.8, + "learning_rate": 0.0009737620589052136, + "loss": 1.7866, + "step": 11170 + }, + { + "epoch": 5.8, + "learning_rate": 0.0009736654573503247, + "loss": 1.7176, + "step": 11180 + }, + { + "epoch": 5.81, + "learning_rate": 0.0009735686831001473, + "loss": 1.7426, + "step": 11190 + }, + { + "epoch": 5.81, + "learning_rate": 0.0009734717361899646, + "loss": 1.7987, + "step": 11200 + }, + { + "epoch": 5.82, + "learning_rate": 0.0009733746166551232, + "loss": 1.7344, + "step": 11210 + }, + { + "epoch": 5.82, + "learning_rate": 0.0009732773245310318, + "loss": 1.809, + "step": 11220 + }, + { + "epoch": 5.83, + "learning_rate": 0.0009731798598531628, + "loss": 1.7074, + "step": 11230 + }, + { + "epoch": 5.83, + "learning_rate": 0.0009730822226570509, + "loss": 1.6944, + "step": 11240 + }, + { + "epoch": 5.84, + "learning_rate": 0.0009729844129782942, + "loss": 1.7243, + "step": 11250 + }, + { + "epoch": 5.84, + "learning_rate": 0.0009728864308525534, + "loss": 1.7516, + "step": 11260 + }, + { + "epoch": 5.85, + "learning_rate": 0.000972788276315552, + "loss": 1.7105, + "step": 11270 + }, + { + "epoch": 5.85, + "learning_rate": 0.0009726899494030768, + "loss": 1.6982, + "step": 11280 + }, + { + "epoch": 5.86, + "learning_rate": 0.0009725914501509767, + "loss": 1.7656, + "step": 11290 + }, + { + "epoch": 5.86, + "learning_rate": 0.0009724927785951643, + "loss": 1.8973, + "step": 11300 + }, + { + "epoch": 5.87, + "learning_rate": 0.0009723939347716143, + "loss": 1.9031, + "step": 11310 + }, + { + "epoch": 5.87, + "learning_rate": 0.0009722949187163646, + "loss": 1.8425, + "step": 11320 + }, + { + "epoch": 5.88, + "learning_rate": 0.0009721957304655159, + "loss": 1.8458, + "step": 11330 + }, + { + "epoch": 5.88, + "learning_rate": 0.0009720963700552315, + "loss": 1.7749, + "step": 11340 + }, + { + "epoch": 5.89, + "learning_rate": 0.0009719968375217374, + "loss": 1.9048, + "step": 11350 + }, + { + "epoch": 5.9, + "learning_rate": 0.0009718971329013229, + "loss": 1.7444, + "step": 11360 + }, + { + "epoch": 5.9, + "learning_rate": 0.0009717972562303391, + "loss": 1.6944, + "step": 11370 + }, + { + "epoch": 5.91, + "learning_rate": 0.0009716972075452009, + "loss": 1.7349, + "step": 11380 + }, + { + "epoch": 5.91, + "learning_rate": 0.0009715969868823849, + "loss": 1.8686, + "step": 11390 + }, + { + "epoch": 5.92, + "learning_rate": 0.0009714965942784313, + "loss": 1.6679, + "step": 11400 + }, + { + "epoch": 5.92, + "learning_rate": 0.0009713960297699424, + "loss": 1.7048, + "step": 11410 + }, + { + "epoch": 5.93, + "learning_rate": 0.0009712952933935832, + "loss": 1.8649, + "step": 11420 + }, + { + "epoch": 5.93, + "learning_rate": 0.0009711943851860819, + "loss": 1.7515, + "step": 11430 + }, + { + "epoch": 5.94, + "learning_rate": 0.0009710933051842288, + "loss": 1.9001, + "step": 11440 + }, + { + "epoch": 5.94, + "learning_rate": 0.0009709920534248769, + "loss": 1.8789, + "step": 11450 + }, + { + "epoch": 5.95, + "learning_rate": 0.0009708906299449418, + "loss": 1.9457, + "step": 11460 + }, + { + "epoch": 5.95, + "learning_rate": 0.0009707890347814022, + "loss": 1.8666, + "step": 11470 + }, + { + "epoch": 5.96, + "learning_rate": 0.0009706872679712986, + "loss": 1.7263, + "step": 11480 + }, + { + "epoch": 5.96, + "learning_rate": 0.0009705853295517348, + "loss": 1.8461, + "step": 11490 + }, + { + "epoch": 5.97, + "learning_rate": 0.0009704832195598769, + "loss": 1.7918, + "step": 11500 + }, + { + "epoch": 5.97, + "learning_rate": 0.0009703809380329534, + "loss": 1.8426, + "step": 11510 + }, + { + "epoch": 5.98, + "learning_rate": 0.0009702784850082553, + "loss": 1.7251, + "step": 11520 + }, + { + "epoch": 5.98, + "learning_rate": 0.0009701758605231368, + "loss": 1.6913, + "step": 11530 + }, + { + "epoch": 5.99, + "learning_rate": 0.0009700730646150135, + "loss": 1.5939, + "step": 11540 + }, + { + "epoch": 5.99, + "learning_rate": 0.0009699700973213645, + "loss": 1.8592, + "step": 11550 + }, + { + "epoch": 6.0, + "learning_rate": 0.0009698669586797311, + "loss": 1.7984, + "step": 11560 + }, + { + "epoch": 6.0, + "eval_accuracy": { + "accuracy": 0.3014267185473411 + }, + "eval_f1": { + "f1": 0.2074421859419775 + }, + "eval_loss": 1.7321857213974, + "eval_precision": { + "precision": 0.17325128260235972 + }, + "eval_recall": { + "recall": 0.31234162186318526 + }, + "eval_runtime": 103.9228, + "eval_samples_per_second": 37.095, + "eval_steps_per_second": 18.552, + "step": 11562 + }, + { + "epoch": 6.0, + "learning_rate": 0.0009697636487277166, + "loss": 1.7792, + "step": 11570 + }, + { + "epoch": 6.01, + "learning_rate": 0.0009696601675029873, + "loss": 1.6447, + "step": 11580 + }, + { + "epoch": 6.01, + "learning_rate": 0.0009695565150432717, + "loss": 1.8134, + "step": 11590 + }, + { + "epoch": 6.02, + "learning_rate": 0.0009694526913863608, + "loss": 1.7022, + "step": 11600 + }, + { + "epoch": 6.02, + "learning_rate": 0.0009693486965701082, + "loss": 1.8088, + "step": 11610 + }, + { + "epoch": 6.03, + "learning_rate": 0.0009692445306324296, + "loss": 1.852, + "step": 11620 + }, + { + "epoch": 6.04, + "learning_rate": 0.0009691401936113032, + "loss": 1.8435, + "step": 11630 + }, + { + "epoch": 6.04, + "learning_rate": 0.0009690356855447695, + "loss": 1.8285, + "step": 11640 + }, + { + "epoch": 6.05, + "learning_rate": 0.0009689310064709316, + "loss": 1.7503, + "step": 11650 + }, + { + "epoch": 6.05, + "learning_rate": 0.0009688261564279548, + "loss": 1.8343, + "step": 11660 + }, + { + "epoch": 6.06, + "learning_rate": 0.0009687211354540664, + "loss": 1.7397, + "step": 11670 + }, + { + "epoch": 6.06, + "learning_rate": 0.0009686159435875569, + "loss": 1.8581, + "step": 11680 + }, + { + "epoch": 6.07, + "learning_rate": 0.0009685105808667782, + "loss": 1.9103, + "step": 11690 + }, + { + "epoch": 6.07, + "learning_rate": 0.0009684050473301449, + "loss": 1.7767, + "step": 11700 + }, + { + "epoch": 6.08, + "learning_rate": 0.0009682993430161339, + "loss": 1.7691, + "step": 11710 + }, + { + "epoch": 6.08, + "learning_rate": 0.0009681934679632842, + "loss": 1.8959, + "step": 11720 + }, + { + "epoch": 6.09, + "learning_rate": 0.0009680874222101972, + "loss": 1.7943, + "step": 11730 + }, + { + "epoch": 6.09, + "learning_rate": 0.0009679812057955365, + "loss": 1.8252, + "step": 11740 + }, + { + "epoch": 6.1, + "learning_rate": 0.0009678748187580278, + "loss": 1.8658, + "step": 11750 + }, + { + "epoch": 6.1, + "learning_rate": 0.0009677682611364593, + "loss": 1.9736, + "step": 11760 + }, + { + "epoch": 6.11, + "learning_rate": 0.000967661532969681, + "loss": 1.7876, + "step": 11770 + }, + { + "epoch": 6.11, + "learning_rate": 0.0009675546342966054, + "loss": 1.7609, + "step": 11780 + }, + { + "epoch": 6.12, + "learning_rate": 0.0009674475651562071, + "loss": 1.8479, + "step": 11790 + }, + { + "epoch": 6.12, + "learning_rate": 0.0009673403255875225, + "loss": 1.756, + "step": 11800 + }, + { + "epoch": 6.13, + "learning_rate": 0.0009672329156296508, + "loss": 1.7295, + "step": 11810 + }, + { + "epoch": 6.13, + "learning_rate": 0.0009671253353217528, + "loss": 2.0492, + "step": 11820 + }, + { + "epoch": 6.14, + "learning_rate": 0.0009670175847030515, + "loss": 1.7373, + "step": 11830 + }, + { + "epoch": 6.14, + "learning_rate": 0.0009669096638128322, + "loss": 1.9517, + "step": 11840 + }, + { + "epoch": 6.15, + "learning_rate": 0.000966801572690442, + "loss": 1.7751, + "step": 11850 + }, + { + "epoch": 6.15, + "learning_rate": 0.0009666933113752905, + "loss": 1.8541, + "step": 11860 + }, + { + "epoch": 6.16, + "learning_rate": 0.0009665848799068486, + "loss": 1.8422, + "step": 11870 + }, + { + "epoch": 6.17, + "learning_rate": 0.0009664762783246501, + "loss": 1.7967, + "step": 11880 + }, + { + "epoch": 6.17, + "learning_rate": 0.0009663675066682902, + "loss": 1.761, + "step": 11890 + }, + { + "epoch": 6.18, + "learning_rate": 0.0009662585649774264, + "loss": 1.7239, + "step": 11900 + }, + { + "epoch": 6.18, + "learning_rate": 0.000966149453291778, + "loss": 1.8602, + "step": 11910 + }, + { + "epoch": 6.19, + "learning_rate": 0.0009660401716511266, + "loss": 1.7893, + "step": 11920 + }, + { + "epoch": 6.19, + "learning_rate": 0.0009659307200953156, + "loss": 1.7777, + "step": 11930 + }, + { + "epoch": 6.2, + "learning_rate": 0.0009658210986642499, + "loss": 1.8514, + "step": 11940 + }, + { + "epoch": 6.2, + "learning_rate": 0.0009657113073978972, + "loss": 1.7697, + "step": 11950 + }, + { + "epoch": 6.21, + "learning_rate": 0.0009656013463362865, + "loss": 1.7849, + "step": 11960 + }, + { + "epoch": 6.21, + "learning_rate": 0.0009654912155195088, + "loss": 1.7234, + "step": 11970 + }, + { + "epoch": 6.22, + "learning_rate": 0.0009653809149877172, + "loss": 1.7891, + "step": 11980 + }, + { + "epoch": 6.22, + "learning_rate": 0.0009652704447811265, + "loss": 1.6848, + "step": 11990 + }, + { + "epoch": 6.23, + "learning_rate": 0.0009651598049400132, + "loss": 1.8787, + "step": 12000 + }, + { + "epoch": 6.23, + "learning_rate": 0.0009650489955047161, + "loss": 1.8163, + "step": 12010 + }, + { + "epoch": 6.24, + "learning_rate": 0.0009649380165156356, + "loss": 1.6971, + "step": 12020 + }, + { + "epoch": 6.24, + "learning_rate": 0.0009648268680132338, + "loss": 1.7703, + "step": 12030 + }, + { + "epoch": 6.25, + "learning_rate": 0.0009647155500380348, + "loss": 1.8627, + "step": 12040 + }, + { + "epoch": 6.25, + "learning_rate": 0.0009646040626306243, + "loss": 1.831, + "step": 12050 + }, + { + "epoch": 6.26, + "learning_rate": 0.0009644924058316498, + "loss": 1.6914, + "step": 12060 + }, + { + "epoch": 6.26, + "learning_rate": 0.0009643805796818208, + "loss": 1.8321, + "step": 12070 + }, + { + "epoch": 6.27, + "learning_rate": 0.0009642685842219084, + "loss": 1.7376, + "step": 12080 + }, + { + "epoch": 6.27, + "learning_rate": 0.0009641564194927451, + "loss": 1.7676, + "step": 12090 + }, + { + "epoch": 6.28, + "learning_rate": 0.0009640440855352257, + "loss": 1.88, + "step": 12100 + }, + { + "epoch": 6.28, + "learning_rate": 0.0009639315823903065, + "loss": 1.7956, + "step": 12110 + }, + { + "epoch": 6.29, + "learning_rate": 0.000963818910099005, + "loss": 1.8877, + "step": 12120 + }, + { + "epoch": 6.29, + "learning_rate": 0.0009637060687024012, + "loss": 1.8099, + "step": 12130 + }, + { + "epoch": 6.3, + "learning_rate": 0.000963593058241636, + "loss": 1.7973, + "step": 12140 + }, + { + "epoch": 6.31, + "learning_rate": 0.0009634798787579124, + "loss": 1.7283, + "step": 12150 + }, + { + "epoch": 6.31, + "learning_rate": 0.000963366530292495, + "loss": 1.8744, + "step": 12160 + }, + { + "epoch": 6.32, + "learning_rate": 0.0009632530128867099, + "loss": 1.7395, + "step": 12170 + }, + { + "epoch": 6.32, + "learning_rate": 0.0009631393265819444, + "loss": 1.7538, + "step": 12180 + }, + { + "epoch": 6.33, + "learning_rate": 0.0009630254714196483, + "loss": 1.8393, + "step": 12190 + }, + { + "epoch": 6.33, + "learning_rate": 0.000962911447441332, + "loss": 1.7348, + "step": 12200 + }, + { + "epoch": 6.34, + "learning_rate": 0.0009627972546885682, + "loss": 1.8174, + "step": 12210 + }, + { + "epoch": 6.34, + "learning_rate": 0.0009626828932029907, + "loss": 1.7659, + "step": 12220 + }, + { + "epoch": 6.35, + "learning_rate": 0.0009625683630262951, + "loss": 1.7505, + "step": 12230 + }, + { + "epoch": 6.35, + "learning_rate": 0.0009624536642002379, + "loss": 1.7804, + "step": 12240 + }, + { + "epoch": 6.36, + "learning_rate": 0.0009623387967666382, + "loss": 1.71, + "step": 12250 + }, + { + "epoch": 6.36, + "learning_rate": 0.0009622237607673752, + "loss": 1.6895, + "step": 12260 + }, + { + "epoch": 6.37, + "learning_rate": 0.0009621085562443908, + "loss": 1.8456, + "step": 12270 + }, + { + "epoch": 6.37, + "learning_rate": 0.0009619931832396873, + "loss": 1.8019, + "step": 12280 + }, + { + "epoch": 6.38, + "learning_rate": 0.0009618776417953294, + "loss": 1.6919, + "step": 12290 + }, + { + "epoch": 6.38, + "learning_rate": 0.0009617619319534428, + "loss": 1.7653, + "step": 12300 + }, + { + "epoch": 6.39, + "learning_rate": 0.000961646053756214, + "loss": 1.7869, + "step": 12310 + }, + { + "epoch": 6.39, + "learning_rate": 0.0009615300072458919, + "loss": 1.8052, + "step": 12320 + }, + { + "epoch": 6.4, + "learning_rate": 0.0009614137924647861, + "loss": 1.7572, + "step": 12330 + }, + { + "epoch": 6.4, + "learning_rate": 0.0009612974094552678, + "loss": 1.6216, + "step": 12340 + }, + { + "epoch": 6.41, + "learning_rate": 0.0009611808582597694, + "loss": 1.8323, + "step": 12350 + }, + { + "epoch": 6.41, + "learning_rate": 0.0009610641389207848, + "loss": 1.8704, + "step": 12360 + }, + { + "epoch": 6.42, + "learning_rate": 0.000960947251480869, + "loss": 1.8894, + "step": 12370 + }, + { + "epoch": 6.42, + "learning_rate": 0.0009608301959826384, + "loss": 1.8785, + "step": 12380 + }, + { + "epoch": 6.43, + "learning_rate": 0.0009607129724687708, + "loss": 1.8482, + "step": 12390 + }, + { + "epoch": 6.43, + "learning_rate": 0.0009605955809820049, + "loss": 1.904, + "step": 12400 + }, + { + "epoch": 6.44, + "learning_rate": 0.000960478021565141, + "loss": 1.8867, + "step": 12410 + }, + { + "epoch": 6.45, + "learning_rate": 0.0009603602942610403, + "loss": 1.907, + "step": 12420 + }, + { + "epoch": 6.45, + "learning_rate": 0.0009602423991126258, + "loss": 1.9181, + "step": 12430 + }, + { + "epoch": 6.46, + "learning_rate": 0.0009601243361628809, + "loss": 1.8593, + "step": 12440 + }, + { + "epoch": 6.46, + "learning_rate": 0.0009600061054548506, + "loss": 1.7883, + "step": 12450 + }, + { + "epoch": 6.47, + "learning_rate": 0.0009598877070316412, + "loss": 1.7691, + "step": 12460 + }, + { + "epoch": 6.47, + "learning_rate": 0.0009597691409364199, + "loss": 1.8437, + "step": 12470 + }, + { + "epoch": 6.48, + "learning_rate": 0.0009596504072124153, + "loss": 1.8041, + "step": 12480 + }, + { + "epoch": 6.48, + "learning_rate": 0.0009595315059029166, + "loss": 1.8488, + "step": 12490 + }, + { + "epoch": 6.49, + "learning_rate": 0.0009594124370512746, + "loss": 1.8085, + "step": 12500 + }, + { + "epoch": 6.49, + "learning_rate": 0.0009592932007009009, + "loss": 1.7688, + "step": 12510 + }, + { + "epoch": 6.5, + "learning_rate": 0.0009591737968952685, + "loss": 1.8884, + "step": 12520 + }, + { + "epoch": 6.5, + "learning_rate": 0.0009590542256779111, + "loss": 1.9053, + "step": 12530 + }, + { + "epoch": 6.51, + "learning_rate": 0.0009589344870924237, + "loss": 1.9115, + "step": 12540 + }, + { + "epoch": 6.51, + "learning_rate": 0.000958814581182462, + "loss": 1.8114, + "step": 12550 + }, + { + "epoch": 6.52, + "learning_rate": 0.0009586945079917429, + "loss": 1.8891, + "step": 12560 + }, + { + "epoch": 6.52, + "learning_rate": 0.0009585742675640445, + "loss": 1.8384, + "step": 12570 + }, + { + "epoch": 6.53, + "learning_rate": 0.0009584538599432056, + "loss": 1.859, + "step": 12580 + }, + { + "epoch": 6.53, + "learning_rate": 0.0009583332851731258, + "loss": 1.7339, + "step": 12590 + }, + { + "epoch": 6.54, + "learning_rate": 0.0009582125432977661, + "loss": 1.8824, + "step": 12600 + }, + { + "epoch": 6.54, + "learning_rate": 0.0009580916343611481, + "loss": 1.751, + "step": 12610 + }, + { + "epoch": 6.55, + "learning_rate": 0.0009579705584073544, + "loss": 1.6991, + "step": 12620 + }, + { + "epoch": 6.55, + "learning_rate": 0.0009578493154805285, + "loss": 1.7719, + "step": 12630 + }, + { + "epoch": 6.56, + "learning_rate": 0.0009577279056248749, + "loss": 1.8559, + "step": 12640 + }, + { + "epoch": 6.56, + "learning_rate": 0.0009576063288846585, + "loss": 1.7681, + "step": 12650 + }, + { + "epoch": 6.57, + "learning_rate": 0.0009574845853042057, + "loss": 1.7717, + "step": 12660 + }, + { + "epoch": 6.57, + "learning_rate": 0.0009573626749279032, + "loss": 1.8828, + "step": 12670 + }, + { + "epoch": 6.58, + "learning_rate": 0.0009572405978001988, + "loss": 1.7839, + "step": 12680 + }, + { + "epoch": 6.59, + "learning_rate": 0.000957118353965601, + "loss": 1.714, + "step": 12690 + }, + { + "epoch": 6.59, + "learning_rate": 0.0009569959434686792, + "loss": 1.8501, + "step": 12700 + }, + { + "epoch": 6.6, + "learning_rate": 0.0009568733663540634, + "loss": 1.7382, + "step": 12710 + }, + { + "epoch": 6.6, + "learning_rate": 0.0009567506226664441, + "loss": 1.8327, + "step": 12720 + }, + { + "epoch": 6.61, + "learning_rate": 0.0009566277124505733, + "loss": 1.8203, + "step": 12730 + }, + { + "epoch": 6.61, + "learning_rate": 0.000956504635751263, + "loss": 1.7329, + "step": 12740 + }, + { + "epoch": 6.62, + "learning_rate": 0.0009563813926133862, + "loss": 1.7699, + "step": 12750 + }, + { + "epoch": 6.62, + "learning_rate": 0.0009562579830818765, + "loss": 1.8813, + "step": 12760 + }, + { + "epoch": 6.63, + "learning_rate": 0.0009561344072017283, + "loss": 1.9075, + "step": 12770 + }, + { + "epoch": 6.63, + "learning_rate": 0.0009560106650179964, + "loss": 1.7317, + "step": 12780 + }, + { + "epoch": 6.64, + "learning_rate": 0.0009558867565757965, + "loss": 1.6895, + "step": 12790 + }, + { + "epoch": 6.64, + "learning_rate": 0.0009557626819203047, + "loss": 1.6617, + "step": 12800 + }, + { + "epoch": 6.65, + "learning_rate": 0.0009556384410967578, + "loss": 1.7724, + "step": 12810 + }, + { + "epoch": 6.65, + "learning_rate": 0.0009555140341504534, + "loss": 1.8285, + "step": 12820 + }, + { + "epoch": 6.66, + "learning_rate": 0.000955389461126749, + "loss": 1.8063, + "step": 12830 + }, + { + "epoch": 6.66, + "learning_rate": 0.0009552647220710636, + "loss": 1.725, + "step": 12840 + }, + { + "epoch": 6.67, + "learning_rate": 0.000955139817028876, + "loss": 1.6705, + "step": 12850 + }, + { + "epoch": 6.67, + "learning_rate": 0.0009550147460457256, + "loss": 1.7254, + "step": 12860 + }, + { + "epoch": 6.68, + "learning_rate": 0.0009548895091672127, + "loss": 1.8107, + "step": 12870 + }, + { + "epoch": 6.68, + "learning_rate": 0.0009547641064389978, + "loss": 1.6768, + "step": 12880 + }, + { + "epoch": 6.69, + "learning_rate": 0.0009546385379068018, + "loss": 1.7145, + "step": 12890 + }, + { + "epoch": 6.69, + "learning_rate": 0.0009545128036164064, + "loss": 1.7159, + "step": 12900 + }, + { + "epoch": 6.7, + "learning_rate": 0.000954386903613653, + "loss": 1.7503, + "step": 12910 + }, + { + "epoch": 6.7, + "learning_rate": 0.0009542608379444444, + "loss": 1.7583, + "step": 12920 + }, + { + "epoch": 6.71, + "learning_rate": 0.000954134606654743, + "loss": 1.8885, + "step": 12930 + }, + { + "epoch": 6.72, + "learning_rate": 0.000954008209790572, + "loss": 1.6543, + "step": 12940 + }, + { + "epoch": 6.72, + "learning_rate": 0.0009538816473980149, + "loss": 1.8198, + "step": 12950 + }, + { + "epoch": 6.73, + "learning_rate": 0.0009537549195232156, + "loss": 1.7566, + "step": 12960 + }, + { + "epoch": 6.73, + "learning_rate": 0.000953628026212378, + "loss": 1.7466, + "step": 12970 + }, + { + "epoch": 6.74, + "learning_rate": 0.0009535009675117665, + "loss": 1.6681, + "step": 12980 + }, + { + "epoch": 6.74, + "learning_rate": 0.0009533737434677063, + "loss": 1.8596, + "step": 12990 + }, + { + "epoch": 6.75, + "learning_rate": 0.0009532463541265822, + "loss": 1.8017, + "step": 13000 + }, + { + "epoch": 6.75, + "learning_rate": 0.0009531187995348394, + "loss": 1.7382, + "step": 13010 + }, + { + "epoch": 6.76, + "learning_rate": 0.0009529910797389835, + "loss": 1.7205, + "step": 13020 + }, + { + "epoch": 6.76, + "learning_rate": 0.0009528631947855803, + "loss": 1.9236, + "step": 13030 + }, + { + "epoch": 6.77, + "learning_rate": 0.000952735144721256, + "loss": 1.596, + "step": 13040 + }, + { + "epoch": 6.77, + "learning_rate": 0.0009526069295926966, + "loss": 1.8309, + "step": 13050 + }, + { + "epoch": 6.78, + "learning_rate": 0.0009524785494466485, + "loss": 1.7308, + "step": 13060 + }, + { + "epoch": 6.78, + "learning_rate": 0.0009523500043299184, + "loss": 1.7496, + "step": 13070 + }, + { + "epoch": 6.79, + "learning_rate": 0.0009522212942893728, + "loss": 1.639, + "step": 13080 + }, + { + "epoch": 6.79, + "learning_rate": 0.0009520924193719387, + "loss": 1.8481, + "step": 13090 + }, + { + "epoch": 6.8, + "learning_rate": 0.0009519633796246028, + "loss": 1.5754, + "step": 13100 + }, + { + "epoch": 6.8, + "learning_rate": 0.0009518341750944124, + "loss": 1.91, + "step": 13110 + }, + { + "epoch": 6.81, + "learning_rate": 0.0009517048058284745, + "loss": 1.7873, + "step": 13120 + }, + { + "epoch": 6.81, + "learning_rate": 0.0009515752718739564, + "loss": 1.9317, + "step": 13130 + }, + { + "epoch": 6.82, + "learning_rate": 0.0009514455732780851, + "loss": 1.8516, + "step": 13140 + }, + { + "epoch": 6.82, + "learning_rate": 0.000951315710088148, + "loss": 1.8624, + "step": 13150 + }, + { + "epoch": 6.83, + "learning_rate": 0.0009511856823514923, + "loss": 1.7967, + "step": 13160 + }, + { + "epoch": 6.83, + "learning_rate": 0.0009510554901155252, + "loss": 1.6538, + "step": 13170 + }, + { + "epoch": 6.84, + "learning_rate": 0.0009509251334277141, + "loss": 1.7719, + "step": 13180 + }, + { + "epoch": 6.84, + "learning_rate": 0.000950794612335586, + "loss": 1.7984, + "step": 13190 + }, + { + "epoch": 6.85, + "learning_rate": 0.0009506639268867283, + "loss": 1.9263, + "step": 13200 + }, + { + "epoch": 6.86, + "learning_rate": 0.0009505330771287877, + "loss": 1.838, + "step": 13210 + }, + { + "epoch": 6.86, + "learning_rate": 0.0009504020631094715, + "loss": 1.7548, + "step": 13220 + }, + { + "epoch": 6.87, + "learning_rate": 0.000950270884876546, + "loss": 1.8724, + "step": 13230 + }, + { + "epoch": 6.87, + "learning_rate": 0.0009501395424778385, + "loss": 1.7411, + "step": 13240 + }, + { + "epoch": 6.88, + "learning_rate": 0.0009500080359612353, + "loss": 1.7446, + "step": 13250 + }, + { + "epoch": 6.88, + "learning_rate": 0.0009498763653746829, + "loss": 1.7895, + "step": 13260 + }, + { + "epoch": 6.89, + "learning_rate": 0.0009497445307661875, + "loss": 1.6295, + "step": 13270 + }, + { + "epoch": 6.89, + "learning_rate": 0.000949612532183815, + "loss": 1.6633, + "step": 13280 + }, + { + "epoch": 6.9, + "learning_rate": 0.0009494803696756913, + "loss": 2.1007, + "step": 13290 + }, + { + "epoch": 6.9, + "learning_rate": 0.0009493480432900021, + "loss": 1.7611, + "step": 13300 + }, + { + "epoch": 6.91, + "learning_rate": 0.0009492155530749925, + "loss": 1.847, + "step": 13310 + }, + { + "epoch": 6.91, + "learning_rate": 0.0009490828990789677, + "loss": 1.7704, + "step": 13320 + }, + { + "epoch": 6.92, + "learning_rate": 0.0009489500813502923, + "loss": 1.7631, + "step": 13330 + }, + { + "epoch": 6.92, + "learning_rate": 0.0009488170999373911, + "loss": 1.8335, + "step": 13340 + }, + { + "epoch": 6.93, + "learning_rate": 0.0009486839548887479, + "loss": 1.852, + "step": 13350 + }, + { + "epoch": 6.93, + "learning_rate": 0.0009485506462529067, + "loss": 1.609, + "step": 13360 + }, + { + "epoch": 6.94, + "learning_rate": 0.0009484171740784708, + "loss": 1.7785, + "step": 13370 + }, + { + "epoch": 6.94, + "learning_rate": 0.0009482835384141034, + "loss": 1.7499, + "step": 13380 + }, + { + "epoch": 6.95, + "learning_rate": 0.0009481497393085272, + "loss": 1.8266, + "step": 13390 + }, + { + "epoch": 6.95, + "learning_rate": 0.0009480157768105242, + "loss": 1.7917, + "step": 13400 + }, + { + "epoch": 6.96, + "learning_rate": 0.0009478816509689367, + "loss": 1.753, + "step": 13410 + }, + { + "epoch": 6.96, + "learning_rate": 0.0009477473618326656, + "loss": 1.7479, + "step": 13420 + }, + { + "epoch": 6.97, + "learning_rate": 0.0009476129094506722, + "loss": 1.7644, + "step": 13430 + }, + { + "epoch": 6.97, + "learning_rate": 0.0009474782938719769, + "loss": 1.6127, + "step": 13440 + }, + { + "epoch": 6.98, + "learning_rate": 0.0009473435151456593, + "loss": 1.817, + "step": 13450 + }, + { + "epoch": 6.98, + "learning_rate": 0.0009472085733208592, + "loss": 1.6814, + "step": 13460 + }, + { + "epoch": 6.99, + "learning_rate": 0.0009470734684467754, + "loss": 1.6956, + "step": 13470 + }, + { + "epoch": 7.0, + "learning_rate": 0.0009469382005726661, + "loss": 1.7385, + "step": 13480 + }, + { + "epoch": 7.0, + "eval_accuracy": { + "accuracy": 0.3120622568093385 + }, + "eval_f1": { + "f1": 0.2220020856519651 + }, + "eval_loss": 1.6964426040649414, + "eval_precision": { + "precision": 0.24821744277779434 + }, + "eval_recall": { + "recall": 0.3239827067963708 + }, + "eval_runtime": 102.2041, + "eval_samples_per_second": 37.719, + "eval_steps_per_second": 18.864, + "step": 13489 + }, + { + "epoch": 7.0, + "learning_rate": 0.0009468027697478494, + "loss": 1.867, + "step": 13490 + }, + { + "epoch": 7.01, + "learning_rate": 0.0009466671760217023, + "loss": 1.7677, + "step": 13500 + }, + { + "epoch": 7.01, + "learning_rate": 0.0009465314194436611, + "loss": 1.8369, + "step": 13510 + }, + { + "epoch": 7.02, + "learning_rate": 0.0009463955000632222, + "loss": 1.8289, + "step": 13520 + }, + { + "epoch": 7.02, + "learning_rate": 0.0009462594179299406, + "loss": 1.819, + "step": 13530 + }, + { + "epoch": 7.03, + "learning_rate": 0.0009461231730934312, + "loss": 1.8158, + "step": 13540 + }, + { + "epoch": 7.03, + "learning_rate": 0.0009459867656033676, + "loss": 1.7489, + "step": 13550 + }, + { + "epoch": 7.04, + "learning_rate": 0.0009458501955094835, + "loss": 1.7089, + "step": 13560 + }, + { + "epoch": 7.04, + "learning_rate": 0.0009457134628615712, + "loss": 1.9333, + "step": 13570 + }, + { + "epoch": 7.05, + "learning_rate": 0.0009455765677094825, + "loss": 1.8292, + "step": 13580 + }, + { + "epoch": 7.05, + "learning_rate": 0.0009454395101031283, + "loss": 1.8648, + "step": 13590 + }, + { + "epoch": 7.06, + "learning_rate": 0.0009453022900924795, + "loss": 1.7783, + "step": 13600 + }, + { + "epoch": 7.06, + "learning_rate": 0.0009451649077275651, + "loss": 1.7176, + "step": 13610 + }, + { + "epoch": 7.07, + "learning_rate": 0.0009450273630584738, + "loss": 1.6828, + "step": 13620 + }, + { + "epoch": 7.07, + "learning_rate": 0.0009448896561353536, + "loss": 1.8494, + "step": 13630 + }, + { + "epoch": 7.08, + "learning_rate": 0.0009447517870084116, + "loss": 1.7528, + "step": 13640 + }, + { + "epoch": 7.08, + "learning_rate": 0.000944613755727914, + "loss": 1.7617, + "step": 13650 + }, + { + "epoch": 7.09, + "learning_rate": 0.0009444755623441858, + "loss": 1.8195, + "step": 13660 + }, + { + "epoch": 7.09, + "learning_rate": 0.0009443372069076118, + "loss": 1.8131, + "step": 13670 + }, + { + "epoch": 7.1, + "learning_rate": 0.000944198689468635, + "loss": 1.6968, + "step": 13680 + }, + { + "epoch": 7.1, + "learning_rate": 0.0009440600100777583, + "loss": 1.7565, + "step": 13690 + }, + { + "epoch": 7.11, + "learning_rate": 0.0009439211687855433, + "loss": 1.7608, + "step": 13700 + }, + { + "epoch": 7.11, + "learning_rate": 0.0009437821656426104, + "loss": 1.7052, + "step": 13710 + }, + { + "epoch": 7.12, + "learning_rate": 0.0009436430006996392, + "loss": 1.8568, + "step": 13720 + }, + { + "epoch": 7.13, + "learning_rate": 0.0009435036740073687, + "loss": 1.9427, + "step": 13730 + }, + { + "epoch": 7.13, + "learning_rate": 0.0009433641856165961, + "loss": 1.7566, + "step": 13740 + }, + { + "epoch": 7.14, + "learning_rate": 0.0009432245355781782, + "loss": 1.7976, + "step": 13750 + }, + { + "epoch": 7.14, + "learning_rate": 0.0009430847239430302, + "loss": 1.7797, + "step": 13760 + }, + { + "epoch": 7.15, + "learning_rate": 0.0009429447507621268, + "loss": 1.6913, + "step": 13770 + }, + { + "epoch": 7.15, + "learning_rate": 0.0009428046160865009, + "loss": 1.7375, + "step": 13780 + }, + { + "epoch": 7.16, + "learning_rate": 0.0009426643199672451, + "loss": 1.7487, + "step": 13790 + }, + { + "epoch": 7.16, + "learning_rate": 0.0009425238624555101, + "loss": 1.7797, + "step": 13800 + }, + { + "epoch": 7.17, + "learning_rate": 0.0009423832436025062, + "loss": 1.9005, + "step": 13810 + }, + { + "epoch": 7.17, + "learning_rate": 0.0009422424634595017, + "loss": 1.7843, + "step": 13820 + }, + { + "epoch": 7.18, + "learning_rate": 0.0009421015220778242, + "loss": 1.7961, + "step": 13830 + }, + { + "epoch": 7.18, + "learning_rate": 0.00094196041950886, + "loss": 1.741, + "step": 13840 + }, + { + "epoch": 7.19, + "learning_rate": 0.0009418191558040543, + "loss": 1.724, + "step": 13850 + }, + { + "epoch": 7.19, + "learning_rate": 0.000941677731014911, + "loss": 1.7876, + "step": 13860 + }, + { + "epoch": 7.2, + "learning_rate": 0.0009415361451929922, + "loss": 1.7415, + "step": 13870 + }, + { + "epoch": 7.2, + "learning_rate": 0.0009413943983899194, + "loss": 1.6685, + "step": 13880 + }, + { + "epoch": 7.21, + "learning_rate": 0.0009412524906573726, + "loss": 1.6868, + "step": 13890 + }, + { + "epoch": 7.21, + "learning_rate": 0.0009411104220470903, + "loss": 1.8981, + "step": 13900 + }, + { + "epoch": 7.22, + "learning_rate": 0.00094096819261087, + "loss": 1.7498, + "step": 13910 + }, + { + "epoch": 7.22, + "learning_rate": 0.0009408258024005674, + "loss": 1.8692, + "step": 13920 + }, + { + "epoch": 7.23, + "learning_rate": 0.0009406832514680971, + "loss": 1.8906, + "step": 13930 + }, + { + "epoch": 7.23, + "learning_rate": 0.0009405405398654321, + "loss": 1.7531, + "step": 13940 + }, + { + "epoch": 7.24, + "learning_rate": 0.0009403976676446044, + "loss": 1.7559, + "step": 13950 + }, + { + "epoch": 7.24, + "learning_rate": 0.0009402546348577039, + "loss": 1.7564, + "step": 13960 + }, + { + "epoch": 7.25, + "learning_rate": 0.0009401114415568797, + "loss": 1.8532, + "step": 13970 + }, + { + "epoch": 7.25, + "learning_rate": 0.0009399680877943389, + "loss": 1.8019, + "step": 13980 + }, + { + "epoch": 7.26, + "learning_rate": 0.0009398245736223476, + "loss": 1.8442, + "step": 13990 + }, + { + "epoch": 7.27, + "learning_rate": 0.0009396808990932298, + "loss": 1.8377, + "step": 14000 + }, + { + "epoch": 7.27, + "learning_rate": 0.0009395370642593686, + "loss": 1.8058, + "step": 14010 + }, + { + "epoch": 7.28, + "learning_rate": 0.000939393069173205, + "loss": 1.6893, + "step": 14020 + }, + { + "epoch": 7.28, + "learning_rate": 0.0009392489138872386, + "loss": 1.7234, + "step": 14030 + }, + { + "epoch": 7.29, + "learning_rate": 0.0009391045984540278, + "loss": 1.7425, + "step": 14040 + }, + { + "epoch": 7.29, + "learning_rate": 0.0009389601229261888, + "loss": 1.7706, + "step": 14050 + }, + { + "epoch": 7.3, + "learning_rate": 0.0009388154873563964, + "loss": 1.8947, + "step": 14060 + }, + { + "epoch": 7.3, + "learning_rate": 0.000938670691797384, + "loss": 1.8376, + "step": 14070 + }, + { + "epoch": 7.31, + "learning_rate": 0.0009385257363019428, + "loss": 1.6913, + "step": 14080 + }, + { + "epoch": 7.31, + "learning_rate": 0.0009383806209229226, + "loss": 1.7429, + "step": 14090 + }, + { + "epoch": 7.32, + "learning_rate": 0.0009382353457132319, + "loss": 1.7054, + "step": 14100 + }, + { + "epoch": 7.32, + "learning_rate": 0.0009380899107258367, + "loss": 1.7288, + "step": 14110 + }, + { + "epoch": 7.33, + "learning_rate": 0.0009379443160137617, + "loss": 1.7682, + "step": 14120 + }, + { + "epoch": 7.33, + "learning_rate": 0.00093779856163009, + "loss": 1.7532, + "step": 14130 + }, + { + "epoch": 7.34, + "learning_rate": 0.0009376526476279625, + "loss": 1.6605, + "step": 14140 + }, + { + "epoch": 7.34, + "learning_rate": 0.0009375065740605785, + "loss": 1.8331, + "step": 14150 + }, + { + "epoch": 7.35, + "learning_rate": 0.0009373603409811954, + "loss": 1.7324, + "step": 14160 + }, + { + "epoch": 7.35, + "learning_rate": 0.0009372139484431288, + "loss": 1.7655, + "step": 14170 + }, + { + "epoch": 7.36, + "learning_rate": 0.0009370673964997527, + "loss": 1.8016, + "step": 14180 + }, + { + "epoch": 7.36, + "learning_rate": 0.0009369206852044985, + "loss": 1.7753, + "step": 14190 + }, + { + "epoch": 7.37, + "learning_rate": 0.0009367738146108566, + "loss": 1.6695, + "step": 14200 + }, + { + "epoch": 7.37, + "learning_rate": 0.0009366267847723751, + "loss": 1.7622, + "step": 14210 + }, + { + "epoch": 7.38, + "learning_rate": 0.0009364795957426596, + "loss": 1.6401, + "step": 14220 + }, + { + "epoch": 7.38, + "learning_rate": 0.0009363322475753746, + "loss": 1.7551, + "step": 14230 + }, + { + "epoch": 7.39, + "learning_rate": 0.0009361847403242423, + "loss": 1.78, + "step": 14240 + }, + { + "epoch": 7.39, + "learning_rate": 0.0009360370740430428, + "loss": 1.7698, + "step": 14250 + }, + { + "epoch": 7.4, + "learning_rate": 0.0009358892487856142, + "loss": 1.7255, + "step": 14260 + }, + { + "epoch": 7.41, + "learning_rate": 0.0009357412646058526, + "loss": 1.7899, + "step": 14270 + }, + { + "epoch": 7.41, + "learning_rate": 0.000935593121557712, + "loss": 1.717, + "step": 14280 + }, + { + "epoch": 7.42, + "learning_rate": 0.0009354448196952045, + "loss": 1.7246, + "step": 14290 + }, + { + "epoch": 7.42, + "learning_rate": 0.0009352963590723999, + "loss": 1.7834, + "step": 14300 + }, + { + "epoch": 7.43, + "learning_rate": 0.0009351477397434261, + "loss": 1.9131, + "step": 14310 + }, + { + "epoch": 7.43, + "learning_rate": 0.0009349989617624685, + "loss": 1.6523, + "step": 14320 + }, + { + "epoch": 7.44, + "learning_rate": 0.000934850025183771, + "loss": 1.771, + "step": 14330 + }, + { + "epoch": 7.44, + "learning_rate": 0.0009347009300616343, + "loss": 1.6129, + "step": 14340 + }, + { + "epoch": 7.45, + "learning_rate": 0.0009345516764504179, + "loss": 1.7177, + "step": 14350 + }, + { + "epoch": 7.45, + "learning_rate": 0.0009344022644045384, + "loss": 1.7367, + "step": 14360 + }, + { + "epoch": 7.46, + "learning_rate": 0.0009342526939784706, + "loss": 1.6732, + "step": 14370 + }, + { + "epoch": 7.46, + "learning_rate": 0.000934102965226747, + "loss": 1.6573, + "step": 14380 + }, + { + "epoch": 7.47, + "learning_rate": 0.0009339530782039575, + "loss": 1.7023, + "step": 14390 + }, + { + "epoch": 7.47, + "learning_rate": 0.00093380303296475, + "loss": 1.7721, + "step": 14400 + }, + { + "epoch": 7.48, + "learning_rate": 0.00093365282956383, + "loss": 1.8415, + "step": 14410 + }, + { + "epoch": 7.48, + "learning_rate": 0.0009335024680559608, + "loss": 1.7607, + "step": 14420 + }, + { + "epoch": 7.49, + "learning_rate": 0.000933351948495963, + "loss": 1.8485, + "step": 14430 + }, + { + "epoch": 7.49, + "learning_rate": 0.000933201270938715, + "loss": 1.7508, + "step": 14440 + }, + { + "epoch": 7.5, + "learning_rate": 0.0009330504354391531, + "loss": 1.8016, + "step": 14450 + }, + { + "epoch": 7.5, + "learning_rate": 0.0009328994420522707, + "loss": 1.7386, + "step": 14460 + }, + { + "epoch": 7.51, + "learning_rate": 0.000932748290833119, + "loss": 1.8136, + "step": 14470 + }, + { + "epoch": 7.51, + "learning_rate": 0.000932596981836807, + "loss": 1.7424, + "step": 14480 + }, + { + "epoch": 7.52, + "learning_rate": 0.0009324455151185008, + "loss": 1.6428, + "step": 14490 + }, + { + "epoch": 7.52, + "learning_rate": 0.0009322938907334238, + "loss": 1.7389, + "step": 14500 + }, + { + "epoch": 7.53, + "learning_rate": 0.0009321421087368578, + "loss": 1.6418, + "step": 14510 + }, + { + "epoch": 7.54, + "learning_rate": 0.0009319901691841413, + "loss": 1.774, + "step": 14520 + }, + { + "epoch": 7.54, + "learning_rate": 0.0009318380721306703, + "loss": 1.7014, + "step": 14530 + }, + { + "epoch": 7.55, + "learning_rate": 0.0009316858176318985, + "loss": 1.6742, + "step": 14540 + }, + { + "epoch": 7.55, + "learning_rate": 0.000931533405743337, + "loss": 1.6953, + "step": 14550 + }, + { + "epoch": 7.56, + "learning_rate": 0.000931380836520554, + "loss": 1.6567, + "step": 14560 + }, + { + "epoch": 7.56, + "learning_rate": 0.0009312281100191752, + "loss": 1.7334, + "step": 14570 + }, + { + "epoch": 7.57, + "learning_rate": 0.0009310752262948838, + "loss": 1.8719, + "step": 14580 + }, + { + "epoch": 7.57, + "learning_rate": 0.0009309221854034202, + "loss": 1.8223, + "step": 14590 + }, + { + "epoch": 7.58, + "learning_rate": 0.000930768987400582, + "loss": 1.8442, + "step": 14600 + }, + { + "epoch": 7.58, + "learning_rate": 0.0009306156323422244, + "loss": 1.7612, + "step": 14610 + }, + { + "epoch": 7.59, + "learning_rate": 0.0009304621202842593, + "loss": 1.8426, + "step": 14620 + }, + { + "epoch": 7.59, + "learning_rate": 0.0009303084512826562, + "loss": 1.7055, + "step": 14630 + }, + { + "epoch": 7.6, + "learning_rate": 0.0009301546253934422, + "loss": 1.6697, + "step": 14640 + }, + { + "epoch": 7.6, + "learning_rate": 0.0009300006426727008, + "loss": 1.7494, + "step": 14650 + }, + { + "epoch": 7.61, + "learning_rate": 0.0009298465031765732, + "loss": 1.6976, + "step": 14660 + }, + { + "epoch": 7.61, + "learning_rate": 0.0009296922069612578, + "loss": 1.8057, + "step": 14670 + }, + { + "epoch": 7.62, + "learning_rate": 0.0009295377540830097, + "loss": 1.9329, + "step": 14680 + }, + { + "epoch": 7.62, + "learning_rate": 0.0009293831445981415, + "loss": 1.7457, + "step": 14690 + }, + { + "epoch": 7.63, + "learning_rate": 0.000929228378563023, + "loss": 1.7327, + "step": 14700 + }, + { + "epoch": 7.63, + "learning_rate": 0.0009290734560340806, + "loss": 1.8215, + "step": 14710 + }, + { + "epoch": 7.64, + "learning_rate": 0.0009289183770677981, + "loss": 1.5827, + "step": 14720 + }, + { + "epoch": 7.64, + "learning_rate": 0.0009287631417207163, + "loss": 1.54, + "step": 14730 + }, + { + "epoch": 7.65, + "learning_rate": 0.000928607750049433, + "loss": 1.7683, + "step": 14740 + }, + { + "epoch": 7.65, + "learning_rate": 0.000928452202110603, + "loss": 1.8053, + "step": 14750 + }, + { + "epoch": 7.66, + "learning_rate": 0.0009282964979609379, + "loss": 1.8536, + "step": 14760 + }, + { + "epoch": 7.66, + "learning_rate": 0.0009281406376572066, + "loss": 1.7002, + "step": 14770 + }, + { + "epoch": 7.67, + "learning_rate": 0.0009279846212562344, + "loss": 1.7629, + "step": 14780 + }, + { + "epoch": 7.68, + "learning_rate": 0.0009278284488149042, + "loss": 1.677, + "step": 14790 + }, + { + "epoch": 7.68, + "learning_rate": 0.0009276721203901555, + "loss": 1.7235, + "step": 14800 + }, + { + "epoch": 7.69, + "learning_rate": 0.0009275156360389842, + "loss": 1.6409, + "step": 14810 + }, + { + "epoch": 7.69, + "learning_rate": 0.0009273589958184437, + "loss": 1.7063, + "step": 14820 + }, + { + "epoch": 7.7, + "learning_rate": 0.000927202199785644, + "loss": 1.7886, + "step": 14830 + }, + { + "epoch": 7.7, + "learning_rate": 0.0009270452479977519, + "loss": 1.9833, + "step": 14840 + }, + { + "epoch": 7.71, + "learning_rate": 0.0009268881405119909, + "loss": 1.7168, + "step": 14850 + }, + { + "epoch": 7.71, + "learning_rate": 0.0009267308773856413, + "loss": 1.7221, + "step": 14860 + }, + { + "epoch": 7.72, + "learning_rate": 0.0009265734586760405, + "loss": 1.7475, + "step": 14870 + }, + { + "epoch": 7.72, + "learning_rate": 0.0009264158844405818, + "loss": 1.6445, + "step": 14880 + }, + { + "epoch": 7.73, + "learning_rate": 0.0009262581547367164, + "loss": 1.7001, + "step": 14890 + }, + { + "epoch": 7.73, + "learning_rate": 0.000926100269621951, + "loss": 1.8752, + "step": 14900 + }, + { + "epoch": 7.74, + "learning_rate": 0.0009259422291538496, + "loss": 1.6439, + "step": 14910 + }, + { + "epoch": 7.74, + "learning_rate": 0.0009257840333900325, + "loss": 1.7411, + "step": 14920 + }, + { + "epoch": 7.75, + "learning_rate": 0.0009256256823881772, + "loss": 1.5836, + "step": 14930 + }, + { + "epoch": 7.75, + "learning_rate": 0.0009254671762060171, + "loss": 1.7718, + "step": 14940 + }, + { + "epoch": 7.76, + "learning_rate": 0.0009253085149013429, + "loss": 1.7117, + "step": 14950 + }, + { + "epoch": 7.76, + "learning_rate": 0.0009251496985320011, + "loss": 1.8424, + "step": 14960 + }, + { + "epoch": 7.77, + "learning_rate": 0.0009249907271558953, + "loss": 1.7725, + "step": 14970 + }, + { + "epoch": 7.77, + "learning_rate": 0.0009248316008309854, + "loss": 1.6359, + "step": 14980 + }, + { + "epoch": 7.78, + "learning_rate": 0.0009246723196152876, + "loss": 1.8313, + "step": 14990 + }, + { + "epoch": 7.78, + "learning_rate": 0.000924512883566875, + "loss": 1.8976, + "step": 15000 + }, + { + "epoch": 7.79, + "learning_rate": 0.0009243532927438767, + "loss": 1.7728, + "step": 15010 + }, + { + "epoch": 7.79, + "learning_rate": 0.0009241935472044787, + "loss": 1.8352, + "step": 15020 + }, + { + "epoch": 7.8, + "learning_rate": 0.0009240336470069231, + "loss": 1.7677, + "step": 15030 + }, + { + "epoch": 7.8, + "learning_rate": 0.0009238735922095083, + "loss": 1.9427, + "step": 15040 + }, + { + "epoch": 7.81, + "learning_rate": 0.0009237133828705893, + "loss": 1.8624, + "step": 15050 + }, + { + "epoch": 7.82, + "learning_rate": 0.0009235530190485776, + "loss": 1.8505, + "step": 15060 + }, + { + "epoch": 7.82, + "learning_rate": 0.0009233925008019405, + "loss": 1.827, + "step": 15070 + }, + { + "epoch": 7.83, + "learning_rate": 0.000923231828189202, + "loss": 1.8163, + "step": 15080 + }, + { + "epoch": 7.83, + "learning_rate": 0.0009230710012689421, + "loss": 1.8301, + "step": 15090 + }, + { + "epoch": 7.84, + "learning_rate": 0.0009229100200997976, + "loss": 1.7922, + "step": 15100 + }, + { + "epoch": 7.84, + "learning_rate": 0.0009227488847404608, + "loss": 1.7587, + "step": 15110 + }, + { + "epoch": 7.85, + "learning_rate": 0.0009225875952496807, + "loss": 1.9375, + "step": 15120 + }, + { + "epoch": 7.85, + "learning_rate": 0.0009224261516862625, + "loss": 1.8747, + "step": 15130 + }, + { + "epoch": 7.86, + "learning_rate": 0.0009222645541090673, + "loss": 1.9106, + "step": 15140 + }, + { + "epoch": 7.86, + "learning_rate": 0.0009221028025770126, + "loss": 1.8543, + "step": 15150 + }, + { + "epoch": 7.87, + "learning_rate": 0.0009219408971490719, + "loss": 1.8744, + "step": 15160 + }, + { + "epoch": 7.87, + "learning_rate": 0.0009217788378842748, + "loss": 1.8751, + "step": 15170 + }, + { + "epoch": 7.88, + "learning_rate": 0.0009216166248417072, + "loss": 1.7944, + "step": 15180 + }, + { + "epoch": 7.88, + "learning_rate": 0.0009214542580805108, + "loss": 1.8621, + "step": 15190 + }, + { + "epoch": 7.89, + "learning_rate": 0.0009212917376598832, + "loss": 1.8727, + "step": 15200 + }, + { + "epoch": 7.89, + "learning_rate": 0.0009211290636390787, + "loss": 1.8287, + "step": 15210 + }, + { + "epoch": 7.9, + "learning_rate": 0.0009209662360774071, + "loss": 1.8699, + "step": 15220 + }, + { + "epoch": 7.9, + "learning_rate": 0.000920803255034234, + "loss": 1.8996, + "step": 15230 + }, + { + "epoch": 7.91, + "learning_rate": 0.0009206401205689811, + "loss": 1.8532, + "step": 15240 + }, + { + "epoch": 7.91, + "learning_rate": 0.0009204768327411267, + "loss": 1.8261, + "step": 15250 + }, + { + "epoch": 7.92, + "learning_rate": 0.000920313391610204, + "loss": 1.8188, + "step": 15260 + }, + { + "epoch": 7.92, + "learning_rate": 0.0009201497972358028, + "loss": 1.7931, + "step": 15270 + }, + { + "epoch": 7.93, + "learning_rate": 0.0009199860496775683, + "loss": 1.6533, + "step": 15280 + }, + { + "epoch": 7.93, + "learning_rate": 0.0009198221489952019, + "loss": 1.705, + "step": 15290 + }, + { + "epoch": 7.94, + "learning_rate": 0.0009196580952484607, + "loss": 1.6474, + "step": 15300 + }, + { + "epoch": 7.94, + "learning_rate": 0.0009194938884971576, + "loss": 1.7114, + "step": 15310 + }, + { + "epoch": 7.95, + "learning_rate": 0.0009193295288011614, + "loss": 1.9186, + "step": 15320 + }, + { + "epoch": 7.96, + "learning_rate": 0.0009191650162203963, + "loss": 1.795, + "step": 15330 + }, + { + "epoch": 7.96, + "learning_rate": 0.0009190003508148428, + "loss": 1.6633, + "step": 15340 + }, + { + "epoch": 7.97, + "learning_rate": 0.0009188355326445366, + "loss": 1.7603, + "step": 15350 + }, + { + "epoch": 7.97, + "learning_rate": 0.0009186705617695695, + "loss": 1.5689, + "step": 15360 + }, + { + "epoch": 7.98, + "learning_rate": 0.0009185054382500884, + "loss": 1.8437, + "step": 15370 + }, + { + "epoch": 7.98, + "learning_rate": 0.0009183401621462966, + "loss": 1.8561, + "step": 15380 + }, + { + "epoch": 7.99, + "learning_rate": 0.0009181747335184527, + "loss": 1.754, + "step": 15390 + }, + { + "epoch": 7.99, + "learning_rate": 0.0009180091524268707, + "loss": 1.7165, + "step": 15400 + }, + { + "epoch": 8.0, + "learning_rate": 0.0009178434189319205, + "loss": 1.578, + "step": 15410 + }, + { + "epoch": 8.0, + "eval_accuracy": { + "accuracy": 0.2827496757457847 + }, + "eval_f1": { + "f1": 0.20468330816120264 + }, + "eval_loss": 1.6264866590499878, + "eval_precision": { + "precision": 0.23605832742279897 + }, + "eval_recall": { + "recall": 0.2983260879145022 + }, + "eval_runtime": 106.6464, + "eval_samples_per_second": 36.148, + "eval_steps_per_second": 18.078, + "step": 15416 + }, + { + "epoch": 8.0, + "learning_rate": 0.0009176775330940274, + "loss": 1.7684, + "step": 15420 + }, + { + "epoch": 8.01, + "learning_rate": 0.0009175114949736722, + "loss": 1.6885, + "step": 15430 + }, + { + "epoch": 8.01, + "learning_rate": 0.0009173453046313914, + "loss": 1.6669, + "step": 15440 + }, + { + "epoch": 8.02, + "learning_rate": 0.0009171789621277766, + "loss": 1.7721, + "step": 15450 + }, + { + "epoch": 8.02, + "learning_rate": 0.0009170124675234757, + "loss": 1.7607, + "step": 15460 + }, + { + "epoch": 8.03, + "learning_rate": 0.0009168458208791911, + "loss": 1.7391, + "step": 15470 + }, + { + "epoch": 8.03, + "learning_rate": 0.0009166790222556812, + "loss": 1.8084, + "step": 15480 + }, + { + "epoch": 8.04, + "learning_rate": 0.0009165120717137598, + "loss": 1.7343, + "step": 15490 + }, + { + "epoch": 8.04, + "learning_rate": 0.0009163449693142957, + "loss": 1.6727, + "step": 15500 + }, + { + "epoch": 8.05, + "learning_rate": 0.0009161777151182136, + "loss": 1.7554, + "step": 15510 + }, + { + "epoch": 8.05, + "learning_rate": 0.0009160103091864931, + "loss": 1.7161, + "step": 15520 + }, + { + "epoch": 8.06, + "learning_rate": 0.0009158427515801695, + "loss": 1.7783, + "step": 15530 + }, + { + "epoch": 8.06, + "learning_rate": 0.0009156750423603328, + "loss": 1.9211, + "step": 15540 + }, + { + "epoch": 8.07, + "learning_rate": 0.0009155071815881291, + "loss": 1.687, + "step": 15550 + }, + { + "epoch": 8.07, + "learning_rate": 0.000915339169324759, + "loss": 1.7848, + "step": 15560 + }, + { + "epoch": 8.08, + "learning_rate": 0.0009151710056314788, + "loss": 1.8129, + "step": 15570 + }, + { + "epoch": 8.09, + "learning_rate": 0.0009150026905695998, + "loss": 1.7993, + "step": 15580 + }, + { + "epoch": 8.09, + "learning_rate": 0.0009148342242004888, + "loss": 1.9364, + "step": 15590 + }, + { + "epoch": 8.1, + "learning_rate": 0.0009146656065855672, + "loss": 1.7503, + "step": 15600 + }, + { + "epoch": 8.1, + "learning_rate": 0.0009144968377863121, + "loss": 1.8689, + "step": 15610 + }, + { + "epoch": 8.11, + "learning_rate": 0.0009143279178642552, + "loss": 1.7269, + "step": 15620 + }, + { + "epoch": 8.11, + "learning_rate": 0.000914158846880984, + "loss": 1.7695, + "step": 15630 + }, + { + "epoch": 8.12, + "learning_rate": 0.0009139896248981403, + "loss": 1.9229, + "step": 15640 + }, + { + "epoch": 8.12, + "learning_rate": 0.0009138202519774215, + "loss": 1.6619, + "step": 15650 + }, + { + "epoch": 8.13, + "learning_rate": 0.0009136507281805799, + "loss": 1.736, + "step": 15660 + }, + { + "epoch": 8.13, + "learning_rate": 0.0009134810535694225, + "loss": 1.7193, + "step": 15670 + }, + { + "epoch": 8.14, + "learning_rate": 0.0009133112282058117, + "loss": 1.8024, + "step": 15680 + }, + { + "epoch": 8.14, + "learning_rate": 0.0009131412521516648, + "loss": 1.8519, + "step": 15690 + }, + { + "epoch": 8.15, + "learning_rate": 0.0009129711254689536, + "loss": 1.6348, + "step": 15700 + }, + { + "epoch": 8.15, + "learning_rate": 0.0009128008482197057, + "loss": 1.5877, + "step": 15710 + }, + { + "epoch": 8.16, + "learning_rate": 0.0009126304204660025, + "loss": 1.6835, + "step": 15720 + }, + { + "epoch": 8.16, + "learning_rate": 0.0009124598422699812, + "loss": 1.7916, + "step": 15730 + }, + { + "epoch": 8.17, + "learning_rate": 0.0009122891136938334, + "loss": 1.8504, + "step": 15740 + }, + { + "epoch": 8.17, + "learning_rate": 0.0009121182347998055, + "loss": 1.7855, + "step": 15750 + }, + { + "epoch": 8.18, + "learning_rate": 0.000911947205650199, + "loss": 1.7365, + "step": 15760 + }, + { + "epoch": 8.18, + "learning_rate": 0.0009117760263073697, + "loss": 1.8042, + "step": 15770 + }, + { + "epoch": 8.19, + "learning_rate": 0.0009116046968337287, + "loss": 1.7053, + "step": 15780 + }, + { + "epoch": 8.19, + "learning_rate": 0.0009114332172917416, + "loss": 1.8252, + "step": 15790 + }, + { + "epoch": 8.2, + "learning_rate": 0.0009112615877439285, + "loss": 1.7089, + "step": 15800 + }, + { + "epoch": 8.2, + "learning_rate": 0.0009110898082528647, + "loss": 1.7229, + "step": 15810 + }, + { + "epoch": 8.21, + "learning_rate": 0.0009109178788811797, + "loss": 1.6567, + "step": 15820 + }, + { + "epoch": 8.21, + "learning_rate": 0.0009107457996915576, + "loss": 1.8491, + "step": 15830 + }, + { + "epoch": 8.22, + "learning_rate": 0.0009105735707467375, + "loss": 1.6803, + "step": 15840 + }, + { + "epoch": 8.23, + "learning_rate": 0.0009104011921095131, + "loss": 1.7887, + "step": 15850 + }, + { + "epoch": 8.23, + "learning_rate": 0.0009102286638427324, + "loss": 1.7155, + "step": 15860 + }, + { + "epoch": 8.24, + "learning_rate": 0.0009100559860092981, + "loss": 1.6415, + "step": 15870 + }, + { + "epoch": 8.24, + "learning_rate": 0.0009098831586721672, + "loss": 1.7925, + "step": 15880 + }, + { + "epoch": 8.25, + "learning_rate": 0.0009097101818943516, + "loss": 1.8212, + "step": 15890 + }, + { + "epoch": 8.25, + "learning_rate": 0.0009095370557389174, + "loss": 1.7778, + "step": 15900 + }, + { + "epoch": 8.26, + "learning_rate": 0.0009093637802689853, + "loss": 1.7496, + "step": 15910 + }, + { + "epoch": 8.26, + "learning_rate": 0.0009091903555477303, + "loss": 1.6661, + "step": 15920 + }, + { + "epoch": 8.27, + "learning_rate": 0.0009090167816383821, + "loss": 1.646, + "step": 15930 + }, + { + "epoch": 8.27, + "learning_rate": 0.0009088430586042242, + "loss": 1.76, + "step": 15940 + }, + { + "epoch": 8.28, + "learning_rate": 0.0009086691865085954, + "loss": 1.8181, + "step": 15950 + }, + { + "epoch": 8.28, + "learning_rate": 0.000908495165414888, + "loss": 1.6909, + "step": 15960 + }, + { + "epoch": 8.29, + "learning_rate": 0.0009083209953865489, + "loss": 1.8341, + "step": 15970 + }, + { + "epoch": 8.29, + "learning_rate": 0.0009081466764870793, + "loss": 1.7918, + "step": 15980 + }, + { + "epoch": 8.3, + "learning_rate": 0.0009079722087800352, + "loss": 1.6997, + "step": 15990 + }, + { + "epoch": 8.3, + "learning_rate": 0.0009077975923290258, + "loss": 1.6834, + "step": 16000 + }, + { + "epoch": 8.31, + "learning_rate": 0.0009076228271977153, + "loss": 1.62, + "step": 16010 + }, + { + "epoch": 8.31, + "learning_rate": 0.0009074479134498219, + "loss": 1.7986, + "step": 16020 + }, + { + "epoch": 8.32, + "learning_rate": 0.0009072728511491182, + "loss": 1.742, + "step": 16030 + }, + { + "epoch": 8.32, + "learning_rate": 0.0009070976403594304, + "loss": 1.6723, + "step": 16040 + }, + { + "epoch": 8.33, + "learning_rate": 0.0009069222811446394, + "loss": 1.5897, + "step": 16050 + }, + { + "epoch": 8.33, + "learning_rate": 0.0009067467735686799, + "loss": 1.6807, + "step": 16060 + }, + { + "epoch": 8.34, + "learning_rate": 0.0009065711176955409, + "loss": 1.7275, + "step": 16070 + }, + { + "epoch": 8.34, + "learning_rate": 0.0009063953135892654, + "loss": 1.7292, + "step": 16080 + }, + { + "epoch": 8.35, + "learning_rate": 0.0009062193613139503, + "loss": 1.7459, + "step": 16090 + }, + { + "epoch": 8.35, + "learning_rate": 0.0009060432609337468, + "loss": 1.7126, + "step": 16100 + }, + { + "epoch": 8.36, + "learning_rate": 0.0009058670125128597, + "loss": 1.8328, + "step": 16110 + }, + { + "epoch": 8.37, + "learning_rate": 0.000905690616115548, + "loss": 1.6626, + "step": 16120 + }, + { + "epoch": 8.37, + "learning_rate": 0.000905514071806125, + "loss": 1.5575, + "step": 16130 + }, + { + "epoch": 8.38, + "learning_rate": 0.0009053373796489573, + "loss": 1.737, + "step": 16140 + }, + { + "epoch": 8.38, + "learning_rate": 0.0009051605397084659, + "loss": 1.6842, + "step": 16150 + }, + { + "epoch": 8.39, + "learning_rate": 0.0009049835520491252, + "loss": 1.6591, + "step": 16160 + }, + { + "epoch": 8.39, + "learning_rate": 0.0009048064167354637, + "loss": 1.6706, + "step": 16170 + }, + { + "epoch": 8.4, + "learning_rate": 0.0009046291338320642, + "loss": 1.6511, + "step": 16180 + }, + { + "epoch": 8.4, + "learning_rate": 0.0009044517034035624, + "loss": 1.7473, + "step": 16190 + }, + { + "epoch": 8.41, + "learning_rate": 0.0009042741255146485, + "loss": 1.6796, + "step": 16200 + }, + { + "epoch": 8.41, + "learning_rate": 0.0009040964002300663, + "loss": 1.7314, + "step": 16210 + }, + { + "epoch": 8.42, + "learning_rate": 0.0009039185276146129, + "loss": 1.9037, + "step": 16220 + }, + { + "epoch": 8.42, + "learning_rate": 0.0009037405077331399, + "loss": 1.6408, + "step": 16230 + }, + { + "epoch": 8.43, + "learning_rate": 0.0009035623406505519, + "loss": 1.5448, + "step": 16240 + }, + { + "epoch": 8.43, + "learning_rate": 0.0009033840264318076, + "loss": 1.6984, + "step": 16250 + }, + { + "epoch": 8.44, + "learning_rate": 0.0009032055651419191, + "loss": 1.749, + "step": 16260 + }, + { + "epoch": 8.44, + "learning_rate": 0.0009030269568459521, + "loss": 1.726, + "step": 16270 + }, + { + "epoch": 8.45, + "learning_rate": 0.0009028482016090262, + "loss": 1.7653, + "step": 16280 + }, + { + "epoch": 8.45, + "learning_rate": 0.0009026692994963142, + "loss": 1.8845, + "step": 16290 + }, + { + "epoch": 8.46, + "learning_rate": 0.0009024902505730428, + "loss": 1.7547, + "step": 16300 + }, + { + "epoch": 8.46, + "learning_rate": 0.0009023110549044919, + "loss": 1.6612, + "step": 16310 + }, + { + "epoch": 8.47, + "learning_rate": 0.0009021317125559951, + "loss": 1.7741, + "step": 16320 + }, + { + "epoch": 8.47, + "learning_rate": 0.0009019522235929394, + "loss": 1.6434, + "step": 16330 + }, + { + "epoch": 8.48, + "learning_rate": 0.0009017725880807655, + "loss": 1.737, + "step": 16340 + }, + { + "epoch": 8.48, + "learning_rate": 0.0009015928060849671, + "loss": 1.8481, + "step": 16350 + }, + { + "epoch": 8.49, + "learning_rate": 0.0009014128776710916, + "loss": 1.7002, + "step": 16360 + }, + { + "epoch": 8.5, + "learning_rate": 0.0009012328029047396, + "loss": 1.6447, + "step": 16370 + }, + { + "epoch": 8.5, + "learning_rate": 0.0009010525818515654, + "loss": 1.6343, + "step": 16380 + }, + { + "epoch": 8.51, + "learning_rate": 0.0009008722145772761, + "loss": 1.7652, + "step": 16390 + }, + { + "epoch": 8.51, + "learning_rate": 0.0009006917011476326, + "loss": 1.8056, + "step": 16400 + }, + { + "epoch": 8.52, + "learning_rate": 0.0009005110416284488, + "loss": 1.6906, + "step": 16410 + }, + { + "epoch": 8.52, + "learning_rate": 0.0009003302360855922, + "loss": 1.7852, + "step": 16420 + }, + { + "epoch": 8.53, + "learning_rate": 0.000900149284584983, + "loss": 1.7675, + "step": 16430 + }, + { + "epoch": 8.53, + "learning_rate": 0.0008999681871925951, + "loss": 1.7707, + "step": 16440 + }, + { + "epoch": 8.54, + "learning_rate": 0.0008997869439744555, + "loss": 1.7354, + "step": 16450 + }, + { + "epoch": 8.54, + "learning_rate": 0.000899605554996644, + "loss": 1.7349, + "step": 16460 + }, + { + "epoch": 8.55, + "learning_rate": 0.0008994240203252939, + "loss": 1.8627, + "step": 16470 + }, + { + "epoch": 8.55, + "learning_rate": 0.0008992423400265917, + "loss": 1.8491, + "step": 16480 + }, + { + "epoch": 8.56, + "learning_rate": 0.0008990605141667767, + "loss": 1.7826, + "step": 16490 + }, + { + "epoch": 8.56, + "learning_rate": 0.0008988785428121416, + "loss": 1.6465, + "step": 16500 + }, + { + "epoch": 8.57, + "learning_rate": 0.0008986964260290315, + "loss": 1.7663, + "step": 16510 + }, + { + "epoch": 8.57, + "learning_rate": 0.0008985141638838454, + "loss": 1.7625, + "step": 16520 + }, + { + "epoch": 8.58, + "learning_rate": 0.0008983317564430349, + "loss": 1.7147, + "step": 16530 + }, + { + "epoch": 8.58, + "learning_rate": 0.0008981492037731042, + "loss": 1.8479, + "step": 16540 + }, + { + "epoch": 8.59, + "learning_rate": 0.0008979665059406111, + "loss": 1.8151, + "step": 16550 + }, + { + "epoch": 8.59, + "learning_rate": 0.0008977836630121657, + "loss": 1.6965, + "step": 16560 + }, + { + "epoch": 8.6, + "learning_rate": 0.0008976006750544314, + "loss": 1.7078, + "step": 16570 + }, + { + "epoch": 8.6, + "learning_rate": 0.0008974175421341249, + "loss": 1.7454, + "step": 16580 + }, + { + "epoch": 8.61, + "learning_rate": 0.0008972342643180145, + "loss": 1.6888, + "step": 16590 + }, + { + "epoch": 8.61, + "learning_rate": 0.0008970508416729227, + "loss": 1.5654, + "step": 16600 + }, + { + "epoch": 8.62, + "learning_rate": 0.0008968672742657238, + "loss": 1.9123, + "step": 16610 + }, + { + "epoch": 8.62, + "learning_rate": 0.0008966835621633454, + "loss": 1.7758, + "step": 16620 + }, + { + "epoch": 8.63, + "learning_rate": 0.0008964997054327677, + "loss": 1.7509, + "step": 16630 + }, + { + "epoch": 8.64, + "learning_rate": 0.0008963157041410237, + "loss": 1.6829, + "step": 16640 + }, + { + "epoch": 8.64, + "learning_rate": 0.000896131558355199, + "loss": 1.7555, + "step": 16650 + }, + { + "epoch": 8.65, + "learning_rate": 0.0008959472681424318, + "loss": 1.6942, + "step": 16660 + }, + { + "epoch": 8.65, + "learning_rate": 0.0008957628335699133, + "loss": 1.631, + "step": 16670 + }, + { + "epoch": 8.66, + "learning_rate": 0.0008955782547048869, + "loss": 1.6741, + "step": 16680 + }, + { + "epoch": 8.66, + "learning_rate": 0.0008953935316146491, + "loss": 1.6885, + "step": 16690 + }, + { + "epoch": 8.67, + "learning_rate": 0.0008952086643665487, + "loss": 1.732, + "step": 16700 + }, + { + "epoch": 8.67, + "learning_rate": 0.0008950236530279868, + "loss": 1.8046, + "step": 16710 + }, + { + "epoch": 8.68, + "learning_rate": 0.0008948384976664174, + "loss": 1.7123, + "step": 16720 + }, + { + "epoch": 8.68, + "learning_rate": 0.0008946531983493472, + "loss": 1.5934, + "step": 16730 + }, + { + "epoch": 8.69, + "learning_rate": 0.0008944677551443348, + "loss": 1.7552, + "step": 16740 + }, + { + "epoch": 8.69, + "learning_rate": 0.0008942821681189916, + "loss": 1.6654, + "step": 16750 + }, + { + "epoch": 8.7, + "learning_rate": 0.0008940964373409817, + "loss": 1.78, + "step": 16760 + }, + { + "epoch": 8.7, + "learning_rate": 0.0008939105628780208, + "loss": 1.6564, + "step": 16770 + }, + { + "epoch": 8.71, + "learning_rate": 0.0008937245447978779, + "loss": 1.5775, + "step": 16780 + }, + { + "epoch": 8.71, + "learning_rate": 0.0008935383831683737, + "loss": 1.8037, + "step": 16790 + }, + { + "epoch": 8.72, + "learning_rate": 0.0008933520780573818, + "loss": 1.7375, + "step": 16800 + }, + { + "epoch": 8.72, + "learning_rate": 0.0008931656295328275, + "loss": 1.7594, + "step": 16810 + }, + { + "epoch": 8.73, + "learning_rate": 0.0008929790376626887, + "loss": 1.7031, + "step": 16820 + }, + { + "epoch": 8.73, + "learning_rate": 0.000892792302514996, + "loss": 1.6636, + "step": 16830 + }, + { + "epoch": 8.74, + "learning_rate": 0.0008926054241578315, + "loss": 1.805, + "step": 16840 + }, + { + "epoch": 8.74, + "learning_rate": 0.0008924184026593295, + "loss": 1.6382, + "step": 16850 + }, + { + "epoch": 8.75, + "learning_rate": 0.0008922312380876772, + "loss": 1.7755, + "step": 16860 + }, + { + "epoch": 8.75, + "learning_rate": 0.0008920439305111136, + "loss": 1.694, + "step": 16870 + }, + { + "epoch": 8.76, + "learning_rate": 0.0008918564799979296, + "loss": 1.7392, + "step": 16880 + }, + { + "epoch": 8.76, + "learning_rate": 0.0008916688866164684, + "loss": 1.6026, + "step": 16890 + }, + { + "epoch": 8.77, + "learning_rate": 0.0008914811504351255, + "loss": 1.6491, + "step": 16900 + }, + { + "epoch": 8.78, + "learning_rate": 0.000891293271522348, + "loss": 1.7105, + "step": 16910 + }, + { + "epoch": 8.78, + "learning_rate": 0.0008911052499466355, + "loss": 1.549, + "step": 16920 + }, + { + "epoch": 8.79, + "learning_rate": 0.0008909170857765395, + "loss": 1.6778, + "step": 16930 + }, + { + "epoch": 8.79, + "learning_rate": 0.0008907287790806633, + "loss": 1.7083, + "step": 16940 + }, + { + "epoch": 8.8, + "learning_rate": 0.0008905403299276622, + "loss": 1.6005, + "step": 16950 + }, + { + "epoch": 8.8, + "learning_rate": 0.0008903517383862435, + "loss": 1.7597, + "step": 16960 + }, + { + "epoch": 8.81, + "learning_rate": 0.0008901630045251665, + "loss": 1.7905, + "step": 16970 + }, + { + "epoch": 8.81, + "learning_rate": 0.0008899741284132426, + "loss": 1.6071, + "step": 16980 + }, + { + "epoch": 8.82, + "learning_rate": 0.0008897851101193341, + "loss": 1.7545, + "step": 16990 + }, + { + "epoch": 8.82, + "learning_rate": 0.0008895959497123565, + "loss": 1.5481, + "step": 17000 + }, + { + "epoch": 8.83, + "learning_rate": 0.0008894066472612761, + "loss": 1.7643, + "step": 17010 + }, + { + "epoch": 8.83, + "learning_rate": 0.0008892172028351113, + "loss": 1.7423, + "step": 17020 + }, + { + "epoch": 8.84, + "learning_rate": 0.0008890276165029324, + "loss": 1.6081, + "step": 17030 + }, + { + "epoch": 8.84, + "learning_rate": 0.0008888378883338613, + "loss": 1.7366, + "step": 17040 + }, + { + "epoch": 8.85, + "learning_rate": 0.0008886480183970715, + "loss": 1.5514, + "step": 17050 + }, + { + "epoch": 8.85, + "learning_rate": 0.0008884580067617885, + "loss": 1.6213, + "step": 17060 + }, + { + "epoch": 8.86, + "learning_rate": 0.0008882678534972892, + "loss": 1.6877, + "step": 17070 + }, + { + "epoch": 8.86, + "learning_rate": 0.0008880775586729023, + "loss": 1.7817, + "step": 17080 + }, + { + "epoch": 8.87, + "learning_rate": 0.0008878871223580078, + "loss": 1.8002, + "step": 17090 + }, + { + "epoch": 8.87, + "learning_rate": 0.0008876965446220379, + "loss": 1.7922, + "step": 17100 + }, + { + "epoch": 8.88, + "learning_rate": 0.0008875058255344757, + "loss": 1.8084, + "step": 17110 + }, + { + "epoch": 8.88, + "learning_rate": 0.0008873149651648561, + "loss": 1.9055, + "step": 17120 + }, + { + "epoch": 8.89, + "learning_rate": 0.0008871239635827656, + "loss": 1.6935, + "step": 17130 + }, + { + "epoch": 8.89, + "learning_rate": 0.0008869328208578422, + "loss": 1.7536, + "step": 17140 + }, + { + "epoch": 8.9, + "learning_rate": 0.0008867415370597752, + "loss": 1.6415, + "step": 17150 + }, + { + "epoch": 8.91, + "learning_rate": 0.0008865501122583052, + "loss": 1.7195, + "step": 17160 + }, + { + "epoch": 8.91, + "learning_rate": 0.0008863585465232249, + "loss": 1.6616, + "step": 17170 + }, + { + "epoch": 8.92, + "learning_rate": 0.0008861668399243774, + "loss": 1.7208, + "step": 17180 + }, + { + "epoch": 8.92, + "learning_rate": 0.0008859749925316579, + "loss": 1.6244, + "step": 17190 + }, + { + "epoch": 8.93, + "learning_rate": 0.0008857830044150129, + "loss": 1.7088, + "step": 17200 + }, + { + "epoch": 8.93, + "learning_rate": 0.0008855908756444395, + "loss": 1.7205, + "step": 17210 + }, + { + "epoch": 8.94, + "learning_rate": 0.0008853986062899868, + "loss": 1.7547, + "step": 17220 + }, + { + "epoch": 8.94, + "learning_rate": 0.0008852061964217551, + "loss": 1.7007, + "step": 17230 + }, + { + "epoch": 8.95, + "learning_rate": 0.0008850136461098954, + "loss": 1.7271, + "step": 17240 + }, + { + "epoch": 8.95, + "learning_rate": 0.0008848209554246108, + "loss": 1.6084, + "step": 17250 + }, + { + "epoch": 8.96, + "learning_rate": 0.0008846281244361545, + "loss": 1.7916, + "step": 17260 + }, + { + "epoch": 8.96, + "learning_rate": 0.0008844351532148316, + "loss": 1.6409, + "step": 17270 + }, + { + "epoch": 8.97, + "learning_rate": 0.0008842420418309983, + "loss": 1.737, + "step": 17280 + }, + { + "epoch": 8.97, + "learning_rate": 0.0008840487903550616, + "loss": 1.7597, + "step": 17290 + }, + { + "epoch": 8.98, + "learning_rate": 0.0008838553988574798, + "loss": 1.7017, + "step": 17300 + }, + { + "epoch": 8.98, + "learning_rate": 0.000883661867408762, + "loss": 1.6752, + "step": 17310 + }, + { + "epoch": 8.99, + "learning_rate": 0.0008834681960794684, + "loss": 1.761, + "step": 17320 + }, + { + "epoch": 8.99, + "learning_rate": 0.0008832743849402106, + "loss": 1.7054, + "step": 17330 + }, + { + "epoch": 9.0, + "learning_rate": 0.0008830804340616507, + "loss": 1.7397, + "step": 17340 + }, + { + "epoch": 9.0, + "eval_accuracy": { + "accuracy": 0.41686121919584956 + }, + "eval_f1": { + "f1": 0.38005456072209515 + }, + "eval_loss": 1.454464077949524, + "eval_precision": { + "precision": 0.38606801407175106 + }, + "eval_recall": { + "recall": 0.43686617410103795 + }, + "eval_runtime": 187.9837, + "eval_samples_per_second": 20.507, + "eval_steps_per_second": 10.256, + "step": 17343 + }, + { + "epoch": 9.0, + "learning_rate": 0.0008828863435145018, + "loss": 1.7464, + "step": 17350 + }, + { + "epoch": 9.01, + "learning_rate": 0.0008826921133695283, + "loss": 1.7127, + "step": 17360 + }, + { + "epoch": 9.01, + "learning_rate": 0.0008824977436975447, + "loss": 1.7265, + "step": 17370 + }, + { + "epoch": 9.02, + "learning_rate": 0.0008823032345694176, + "loss": 1.7485, + "step": 17380 + }, + { + "epoch": 9.02, + "learning_rate": 0.0008821085860560632, + "loss": 1.6013, + "step": 17390 + }, + { + "epoch": 9.03, + "learning_rate": 0.0008819137982284493, + "loss": 1.6759, + "step": 17400 + }, + { + "epoch": 9.03, + "learning_rate": 0.0008817188711575943, + "loss": 1.6814, + "step": 17410 + }, + { + "epoch": 9.04, + "learning_rate": 0.0008815238049145671, + "loss": 1.5589, + "step": 17420 + }, + { + "epoch": 9.05, + "learning_rate": 0.0008813285995704877, + "loss": 1.6493, + "step": 17430 + }, + { + "epoch": 9.05, + "learning_rate": 0.0008811332551965267, + "loss": 1.6929, + "step": 17440 + }, + { + "epoch": 9.06, + "learning_rate": 0.0008809377718639052, + "loss": 1.8371, + "step": 17450 + }, + { + "epoch": 9.06, + "learning_rate": 0.0008807421496438955, + "loss": 1.6704, + "step": 17460 + }, + { + "epoch": 9.07, + "learning_rate": 0.0008805463886078196, + "loss": 1.6997, + "step": 17470 + }, + { + "epoch": 9.07, + "learning_rate": 0.000880350488827051, + "loss": 1.6588, + "step": 17480 + }, + { + "epoch": 9.08, + "learning_rate": 0.0008801544503730137, + "loss": 1.4844, + "step": 17490 + }, + { + "epoch": 9.08, + "learning_rate": 0.0008799582733171816, + "loss": 1.6334, + "step": 17500 + }, + { + "epoch": 9.09, + "learning_rate": 0.0008797619577310798, + "loss": 1.6067, + "step": 17510 + }, + { + "epoch": 9.09, + "learning_rate": 0.0008795655036862836, + "loss": 1.6338, + "step": 17520 + }, + { + "epoch": 9.1, + "learning_rate": 0.0008793689112544188, + "loss": 1.7329, + "step": 17530 + }, + { + "epoch": 9.1, + "learning_rate": 0.0008791721805071616, + "loss": 1.8056, + "step": 17540 + }, + { + "epoch": 9.11, + "learning_rate": 0.000878975311516239, + "loss": 1.8037, + "step": 17550 + }, + { + "epoch": 9.11, + "learning_rate": 0.000878778304353428, + "loss": 1.7212, + "step": 17560 + }, + { + "epoch": 9.12, + "learning_rate": 0.0008785811590905562, + "loss": 1.7048, + "step": 17570 + }, + { + "epoch": 9.12, + "learning_rate": 0.0008783838757995011, + "loss": 1.7173, + "step": 17580 + }, + { + "epoch": 9.13, + "learning_rate": 0.0008781864545521912, + "loss": 1.5471, + "step": 17590 + }, + { + "epoch": 9.13, + "learning_rate": 0.000877988895420605, + "loss": 1.6644, + "step": 17600 + }, + { + "epoch": 9.14, + "learning_rate": 0.0008777911984767711, + "loss": 1.8331, + "step": 17610 + }, + { + "epoch": 9.14, + "learning_rate": 0.0008775933637927687, + "loss": 1.6078, + "step": 17620 + }, + { + "epoch": 9.15, + "learning_rate": 0.0008773953914407266, + "loss": 1.6736, + "step": 17630 + }, + { + "epoch": 9.15, + "learning_rate": 0.0008771972814928246, + "loss": 1.7015, + "step": 17640 + }, + { + "epoch": 9.16, + "learning_rate": 0.0008769990340212923, + "loss": 1.5992, + "step": 17650 + }, + { + "epoch": 9.16, + "learning_rate": 0.0008768006490984093, + "loss": 1.6792, + "step": 17660 + }, + { + "epoch": 9.17, + "learning_rate": 0.0008766021267965052, + "loss": 1.9294, + "step": 17670 + }, + { + "epoch": 9.17, + "learning_rate": 0.0008764034671879602, + "loss": 1.6635, + "step": 17680 + }, + { + "epoch": 9.18, + "learning_rate": 0.0008762046703452043, + "loss": 1.7352, + "step": 17690 + }, + { + "epoch": 9.19, + "learning_rate": 0.0008760057363407173, + "loss": 1.8641, + "step": 17700 + }, + { + "epoch": 9.19, + "learning_rate": 0.0008758066652470294, + "loss": 1.6782, + "step": 17710 + }, + { + "epoch": 9.2, + "learning_rate": 0.0008756074571367203, + "loss": 1.7397, + "step": 17720 + }, + { + "epoch": 9.2, + "learning_rate": 0.0008754081120824204, + "loss": 1.8227, + "step": 17730 + }, + { + "epoch": 9.21, + "learning_rate": 0.0008752086301568094, + "loss": 1.776, + "step": 17740 + }, + { + "epoch": 9.21, + "learning_rate": 0.000875009011432617, + "loss": 1.6865, + "step": 17750 + }, + { + "epoch": 9.22, + "learning_rate": 0.0008748092559826228, + "loss": 1.8389, + "step": 17760 + }, + { + "epoch": 9.22, + "learning_rate": 0.0008746093638796566, + "loss": 1.7185, + "step": 17770 + }, + { + "epoch": 9.23, + "learning_rate": 0.0008744093351965976, + "loss": 1.7295, + "step": 17780 + }, + { + "epoch": 9.23, + "learning_rate": 0.0008742091700063748, + "loss": 1.8283, + "step": 17790 + }, + { + "epoch": 9.24, + "learning_rate": 0.0008740088683819674, + "loss": 1.769, + "step": 17800 + }, + { + "epoch": 9.24, + "learning_rate": 0.0008738084303964036, + "loss": 1.7363, + "step": 17810 + }, + { + "epoch": 9.25, + "learning_rate": 0.0008736078561227623, + "loss": 1.579, + "step": 17820 + }, + { + "epoch": 9.25, + "learning_rate": 0.0008734071456341712, + "loss": 1.8071, + "step": 17830 + }, + { + "epoch": 9.26, + "learning_rate": 0.0008732062990038079, + "loss": 1.6405, + "step": 17840 + }, + { + "epoch": 9.26, + "learning_rate": 0.0008730053163049001, + "loss": 1.7147, + "step": 17850 + }, + { + "epoch": 9.27, + "learning_rate": 0.0008728041976107246, + "loss": 1.7477, + "step": 17860 + }, + { + "epoch": 9.27, + "learning_rate": 0.0008726029429946078, + "loss": 1.8003, + "step": 17870 + }, + { + "epoch": 9.28, + "learning_rate": 0.0008724015525299261, + "loss": 1.808, + "step": 17880 + }, + { + "epoch": 9.28, + "learning_rate": 0.0008722000262901049, + "loss": 1.6048, + "step": 17890 + }, + { + "epoch": 9.29, + "learning_rate": 0.0008719983643486195, + "loss": 1.6745, + "step": 17900 + }, + { + "epoch": 9.29, + "learning_rate": 0.0008717965667789943, + "loss": 1.7592, + "step": 17910 + }, + { + "epoch": 9.3, + "learning_rate": 0.0008715946336548035, + "loss": 1.6439, + "step": 17920 + }, + { + "epoch": 9.3, + "learning_rate": 0.0008713925650496706, + "loss": 1.6228, + "step": 17930 + }, + { + "epoch": 9.31, + "learning_rate": 0.0008711903610372684, + "loss": 1.6367, + "step": 17940 + }, + { + "epoch": 9.31, + "learning_rate": 0.0008709880216913192, + "loss": 1.6975, + "step": 17950 + }, + { + "epoch": 9.32, + "learning_rate": 0.0008707855470855945, + "loss": 1.8129, + "step": 17960 + }, + { + "epoch": 9.33, + "learning_rate": 0.0008705829372939154, + "loss": 1.6713, + "step": 17970 + }, + { + "epoch": 9.33, + "learning_rate": 0.0008703801923901518, + "loss": 1.7297, + "step": 17980 + }, + { + "epoch": 9.34, + "learning_rate": 0.0008701773124482233, + "loss": 1.7521, + "step": 17990 + }, + { + "epoch": 9.34, + "learning_rate": 0.0008699742975420985, + "loss": 1.6632, + "step": 18000 + }, + { + "epoch": 9.35, + "learning_rate": 0.0008697711477457955, + "loss": 1.6765, + "step": 18010 + }, + { + "epoch": 9.35, + "learning_rate": 0.0008695678631333812, + "loss": 1.6975, + "step": 18020 + }, + { + "epoch": 9.36, + "learning_rate": 0.0008693644437789719, + "loss": 1.7092, + "step": 18030 + }, + { + "epoch": 9.36, + "learning_rate": 0.0008691608897567328, + "loss": 1.7355, + "step": 18040 + }, + { + "epoch": 9.37, + "learning_rate": 0.0008689572011408785, + "loss": 1.7607, + "step": 18050 + }, + { + "epoch": 9.37, + "learning_rate": 0.0008687533780056724, + "loss": 1.6662, + "step": 18060 + }, + { + "epoch": 9.38, + "learning_rate": 0.0008685494204254274, + "loss": 1.7526, + "step": 18070 + }, + { + "epoch": 9.38, + "learning_rate": 0.0008683453284745046, + "loss": 1.7676, + "step": 18080 + }, + { + "epoch": 9.39, + "learning_rate": 0.000868141102227315, + "loss": 1.6147, + "step": 18090 + }, + { + "epoch": 9.39, + "learning_rate": 0.0008679367417583176, + "loss": 1.6999, + "step": 18100 + }, + { + "epoch": 9.4, + "learning_rate": 0.0008677322471420214, + "loss": 1.6868, + "step": 18110 + }, + { + "epoch": 9.4, + "learning_rate": 0.0008675276184529837, + "loss": 1.71, + "step": 18120 + }, + { + "epoch": 9.41, + "learning_rate": 0.0008673228557658103, + "loss": 1.8405, + "step": 18130 + }, + { + "epoch": 9.41, + "learning_rate": 0.0008671179591551571, + "loss": 1.6646, + "step": 18140 + }, + { + "epoch": 9.42, + "learning_rate": 0.0008669129286957275, + "loss": 1.6315, + "step": 18150 + }, + { + "epoch": 9.42, + "learning_rate": 0.0008667077644622743, + "loss": 1.7164, + "step": 18160 + }, + { + "epoch": 9.43, + "learning_rate": 0.000866502466529599, + "loss": 1.736, + "step": 18170 + }, + { + "epoch": 9.43, + "learning_rate": 0.0008662970349725521, + "loss": 1.6481, + "step": 18180 + }, + { + "epoch": 9.44, + "learning_rate": 0.0008660914698660325, + "loss": 1.917, + "step": 18190 + }, + { + "epoch": 9.44, + "learning_rate": 0.0008658857712849876, + "loss": 1.7755, + "step": 18200 + }, + { + "epoch": 9.45, + "learning_rate": 0.0008656799393044141, + "loss": 1.8172, + "step": 18210 + }, + { + "epoch": 9.46, + "learning_rate": 0.0008654739739993568, + "loss": 1.7424, + "step": 18220 + }, + { + "epoch": 9.46, + "learning_rate": 0.0008652678754449093, + "loss": 1.5829, + "step": 18230 + }, + { + "epoch": 9.47, + "learning_rate": 0.0008650616437162139, + "loss": 1.7492, + "step": 18240 + }, + { + "epoch": 9.47, + "learning_rate": 0.0008648552788884611, + "loss": 1.7261, + "step": 18250 + }, + { + "epoch": 9.48, + "learning_rate": 0.0008646487810368904, + "loss": 1.803, + "step": 18260 + }, + { + "epoch": 9.48, + "learning_rate": 0.0008644421502367893, + "loss": 1.7519, + "step": 18270 + }, + { + "epoch": 9.49, + "learning_rate": 0.0008642353865634941, + "loss": 1.8376, + "step": 18280 + }, + { + "epoch": 9.49, + "learning_rate": 0.0008640284900923896, + "loss": 1.6313, + "step": 18290 + }, + { + "epoch": 9.5, + "learning_rate": 0.0008638214608989085, + "loss": 1.7558, + "step": 18300 + }, + { + "epoch": 9.5, + "learning_rate": 0.000863614299058533, + "loss": 1.765, + "step": 18310 + }, + { + "epoch": 9.51, + "learning_rate": 0.0008634070046467921, + "loss": 1.7094, + "step": 18320 + }, + { + "epoch": 9.51, + "learning_rate": 0.0008631995777392645, + "loss": 1.6005, + "step": 18330 + }, + { + "epoch": 9.52, + "learning_rate": 0.0008629920184115766, + "loss": 1.6209, + "step": 18340 + }, + { + "epoch": 9.52, + "learning_rate": 0.000862784326739403, + "loss": 1.8374, + "step": 18350 + }, + { + "epoch": 9.53, + "learning_rate": 0.0008625765027984669, + "loss": 1.54, + "step": 18360 + }, + { + "epoch": 9.53, + "learning_rate": 0.0008623685466645392, + "loss": 1.7219, + "step": 18370 + }, + { + "epoch": 9.54, + "learning_rate": 0.0008621604584134399, + "loss": 1.6198, + "step": 18380 + }, + { + "epoch": 9.54, + "learning_rate": 0.0008619522381210359, + "loss": 1.7157, + "step": 18390 + }, + { + "epoch": 9.55, + "learning_rate": 0.0008617438858632436, + "loss": 1.6988, + "step": 18400 + }, + { + "epoch": 9.55, + "learning_rate": 0.0008615354017160264, + "loss": 1.7169, + "step": 18410 + }, + { + "epoch": 9.56, + "learning_rate": 0.0008613267857553963, + "loss": 1.5654, + "step": 18420 + }, + { + "epoch": 9.56, + "learning_rate": 0.0008611180380574135, + "loss": 1.6486, + "step": 18430 + }, + { + "epoch": 9.57, + "learning_rate": 0.0008609091586981859, + "loss": 1.748, + "step": 18440 + }, + { + "epoch": 9.57, + "learning_rate": 0.0008607001477538696, + "loss": 1.7695, + "step": 18450 + }, + { + "epoch": 9.58, + "learning_rate": 0.0008604910053006684, + "loss": 1.6418, + "step": 18460 + }, + { + "epoch": 9.58, + "learning_rate": 0.0008602817314148346, + "loss": 1.6655, + "step": 18470 + }, + { + "epoch": 9.59, + "learning_rate": 0.0008600723261726677, + "loss": 1.6663, + "step": 18480 + }, + { + "epoch": 9.6, + "learning_rate": 0.0008598627896505157, + "loss": 1.8274, + "step": 18490 + }, + { + "epoch": 9.6, + "learning_rate": 0.0008596531219247742, + "loss": 1.6767, + "step": 18500 + }, + { + "epoch": 9.61, + "learning_rate": 0.0008594433230718866, + "loss": 1.8287, + "step": 18510 + }, + { + "epoch": 9.61, + "learning_rate": 0.0008592333931683443, + "loss": 1.7962, + "step": 18520 + }, + { + "epoch": 9.62, + "learning_rate": 0.0008590233322906862, + "loss": 1.7732, + "step": 18530 + }, + { + "epoch": 9.62, + "learning_rate": 0.0008588131405154991, + "loss": 1.7255, + "step": 18540 + }, + { + "epoch": 9.63, + "learning_rate": 0.0008586028179194176, + "loss": 1.7039, + "step": 18550 + }, + { + "epoch": 9.63, + "learning_rate": 0.0008583923645791241, + "loss": 1.6842, + "step": 18560 + }, + { + "epoch": 9.64, + "learning_rate": 0.0008581817805713481, + "loss": 1.7112, + "step": 18570 + }, + { + "epoch": 9.64, + "learning_rate": 0.0008579710659728674, + "loss": 1.613, + "step": 18580 + }, + { + "epoch": 9.65, + "learning_rate": 0.0008577602208605071, + "loss": 1.6483, + "step": 18590 + }, + { + "epoch": 9.65, + "learning_rate": 0.0008575492453111399, + "loss": 1.7063, + "step": 18600 + }, + { + "epoch": 9.66, + "learning_rate": 0.0008573381394016862, + "loss": 1.7714, + "step": 18610 + }, + { + "epoch": 9.66, + "learning_rate": 0.0008571269032091136, + "loss": 1.7529, + "step": 18620 + }, + { + "epoch": 9.67, + "learning_rate": 0.0008569155368104375, + "loss": 1.6819, + "step": 18630 + }, + { + "epoch": 9.67, + "learning_rate": 0.0008567040402827209, + "loss": 1.7647, + "step": 18640 + }, + { + "epoch": 9.68, + "learning_rate": 0.0008564924137030739, + "loss": 1.6556, + "step": 18650 + }, + { + "epoch": 9.68, + "learning_rate": 0.0008562806571486539, + "loss": 1.5576, + "step": 18660 + }, + { + "epoch": 9.69, + "learning_rate": 0.0008560687706966663, + "loss": 1.654, + "step": 18670 + }, + { + "epoch": 9.69, + "learning_rate": 0.0008558567544243633, + "loss": 1.6531, + "step": 18680 + }, + { + "epoch": 9.7, + "learning_rate": 0.0008556446084090446, + "loss": 1.8011, + "step": 18690 + }, + { + "epoch": 9.7, + "learning_rate": 0.0008554323327280575, + "loss": 1.6978, + "step": 18700 + }, + { + "epoch": 9.71, + "learning_rate": 0.0008552199274587959, + "loss": 1.7141, + "step": 18710 + }, + { + "epoch": 9.71, + "learning_rate": 0.0008550073926787019, + "loss": 1.7312, + "step": 18720 + }, + { + "epoch": 9.72, + "learning_rate": 0.0008547947284652637, + "loss": 1.5014, + "step": 18730 + }, + { + "epoch": 9.72, + "learning_rate": 0.0008545819348960176, + "loss": 1.8483, + "step": 18740 + }, + { + "epoch": 9.73, + "learning_rate": 0.0008543690120485464, + "loss": 1.6066, + "step": 18750 + }, + { + "epoch": 9.74, + "learning_rate": 0.0008541559600004809, + "loss": 1.7953, + "step": 18760 + }, + { + "epoch": 9.74, + "learning_rate": 0.000853942778829498, + "loss": 1.5955, + "step": 18770 + }, + { + "epoch": 9.75, + "learning_rate": 0.0008537294686133223, + "loss": 1.6985, + "step": 18780 + }, + { + "epoch": 9.75, + "learning_rate": 0.0008535160294297253, + "loss": 1.8277, + "step": 18790 + }, + { + "epoch": 9.76, + "learning_rate": 0.0008533024613565256, + "loss": 1.6323, + "step": 18800 + }, + { + "epoch": 9.76, + "learning_rate": 0.0008530887644715885, + "loss": 1.7315, + "step": 18810 + }, + { + "epoch": 9.77, + "learning_rate": 0.0008528749388528266, + "loss": 1.6013, + "step": 18820 + }, + { + "epoch": 9.77, + "learning_rate": 0.0008526609845781994, + "loss": 1.7087, + "step": 18830 + }, + { + "epoch": 9.78, + "learning_rate": 0.000852446901725713, + "loss": 1.7171, + "step": 18840 + }, + { + "epoch": 9.78, + "learning_rate": 0.0008522326903734205, + "loss": 1.733, + "step": 18850 + }, + { + "epoch": 9.79, + "learning_rate": 0.0008520183505994226, + "loss": 1.7025, + "step": 18860 + }, + { + "epoch": 9.79, + "learning_rate": 0.0008518038824818653, + "loss": 1.6708, + "step": 18870 + }, + { + "epoch": 9.8, + "learning_rate": 0.0008515892860989427, + "loss": 1.7206, + "step": 18880 + }, + { + "epoch": 9.8, + "learning_rate": 0.0008513745615288952, + "loss": 1.6166, + "step": 18890 + }, + { + "epoch": 9.81, + "learning_rate": 0.0008511597088500099, + "loss": 1.6784, + "step": 18900 + }, + { + "epoch": 9.81, + "learning_rate": 0.0008509447281406209, + "loss": 1.6183, + "step": 18910 + }, + { + "epoch": 9.82, + "learning_rate": 0.0008507296194791082, + "loss": 1.6644, + "step": 18920 + }, + { + "epoch": 9.82, + "learning_rate": 0.0008505143829438995, + "loss": 1.9086, + "step": 18930 + }, + { + "epoch": 9.83, + "learning_rate": 0.0008502990186134684, + "loss": 1.8484, + "step": 18940 + }, + { + "epoch": 9.83, + "learning_rate": 0.0008500835265663354, + "loss": 1.6922, + "step": 18950 + }, + { + "epoch": 9.84, + "learning_rate": 0.0008498679068810673, + "loss": 1.5593, + "step": 18960 + }, + { + "epoch": 9.84, + "learning_rate": 0.0008496521596362777, + "loss": 1.7798, + "step": 18970 + }, + { + "epoch": 9.85, + "learning_rate": 0.0008494362849106267, + "loss": 1.7348, + "step": 18980 + }, + { + "epoch": 9.85, + "learning_rate": 0.0008492202827828208, + "loss": 1.8277, + "step": 18990 + }, + { + "epoch": 9.86, + "learning_rate": 0.0008490041533316128, + "loss": 1.6788, + "step": 19000 + }, + { + "epoch": 9.87, + "learning_rate": 0.0008487878966358022, + "loss": 1.7564, + "step": 19010 + }, + { + "epoch": 9.87, + "learning_rate": 0.0008485715127742348, + "loss": 1.7309, + "step": 19020 + }, + { + "epoch": 9.88, + "learning_rate": 0.0008483550018258024, + "loss": 1.6923, + "step": 19030 + }, + { + "epoch": 9.88, + "learning_rate": 0.0008481383638694439, + "loss": 1.7461, + "step": 19040 + }, + { + "epoch": 9.89, + "learning_rate": 0.0008479215989841438, + "loss": 1.7594, + "step": 19050 + }, + { + "epoch": 9.89, + "learning_rate": 0.000847704707248933, + "loss": 1.7689, + "step": 19060 + }, + { + "epoch": 9.9, + "learning_rate": 0.0008474876887428892, + "loss": 1.7072, + "step": 19070 + }, + { + "epoch": 9.9, + "learning_rate": 0.0008472705435451356, + "loss": 1.739, + "step": 19080 + }, + { + "epoch": 9.91, + "learning_rate": 0.000847053271734842, + "loss": 1.8056, + "step": 19090 + }, + { + "epoch": 9.91, + "learning_rate": 0.0008468358733912242, + "loss": 1.6447, + "step": 19100 + }, + { + "epoch": 9.92, + "learning_rate": 0.0008466183485935444, + "loss": 1.6804, + "step": 19110 + }, + { + "epoch": 9.92, + "learning_rate": 0.0008464006974211105, + "loss": 1.6939, + "step": 19120 + }, + { + "epoch": 9.93, + "learning_rate": 0.0008461829199532768, + "loss": 1.6983, + "step": 19130 + }, + { + "epoch": 9.93, + "learning_rate": 0.0008459650162694433, + "loss": 1.7643, + "step": 19140 + }, + { + "epoch": 9.94, + "learning_rate": 0.0008457469864490564, + "loss": 1.5992, + "step": 19150 + }, + { + "epoch": 9.94, + "learning_rate": 0.0008455288305716085, + "loss": 1.795, + "step": 19160 + }, + { + "epoch": 9.95, + "learning_rate": 0.0008453105487166374, + "loss": 1.6571, + "step": 19170 + }, + { + "epoch": 9.95, + "learning_rate": 0.0008450921409637275, + "loss": 1.6727, + "step": 19180 + }, + { + "epoch": 9.96, + "learning_rate": 0.0008448736073925087, + "loss": 1.8219, + "step": 19190 + }, + { + "epoch": 9.96, + "learning_rate": 0.000844654948082657, + "loss": 1.6273, + "step": 19200 + }, + { + "epoch": 9.97, + "learning_rate": 0.0008444361631138941, + "loss": 1.8513, + "step": 19210 + }, + { + "epoch": 9.97, + "learning_rate": 0.0008442172525659875, + "loss": 1.7595, + "step": 19220 + }, + { + "epoch": 9.98, + "learning_rate": 0.0008439982165187505, + "loss": 1.7008, + "step": 19230 + }, + { + "epoch": 9.98, + "learning_rate": 0.0008437790550520424, + "loss": 1.6767, + "step": 19240 + }, + { + "epoch": 9.99, + "learning_rate": 0.0008435597682457676, + "loss": 1.6715, + "step": 19250 + }, + { + "epoch": 9.99, + "learning_rate": 0.0008433403561798772, + "loss": 1.8977, + "step": 19260 + }, + { + "epoch": 10.0, + "learning_rate": 0.0008431208189343669, + "loss": 1.9688, + "step": 19270 + }, + { + "epoch": 10.0, + "eval_accuracy": { + "accuracy": 0.3761348897535668 + }, + "eval_f1": { + "f1": 0.3427169207054117 + }, + "eval_loss": 1.5583436489105225, + "eval_precision": { + "precision": 0.3765571735514816 + }, + "eval_recall": { + "recall": 0.3992290557525892 + }, + "eval_runtime": 189.3787, + "eval_samples_per_second": 20.356, + "eval_steps_per_second": 10.181, + "step": 19270 + }, + { + "epoch": 10.01, + "learning_rate": 0.0008429011565892786, + "loss": 1.7518, + "step": 19280 + }, + { + "epoch": 10.01, + "learning_rate": 0.0008426813692246999, + "loss": 1.6519, + "step": 19290 + }, + { + "epoch": 10.02, + "learning_rate": 0.0008424614569207638, + "loss": 1.6477, + "step": 19300 + }, + { + "epoch": 10.02, + "learning_rate": 0.000842241419757649, + "loss": 1.7954, + "step": 19310 + }, + { + "epoch": 10.03, + "learning_rate": 0.0008420212578155793, + "loss": 1.6735, + "step": 19320 + }, + { + "epoch": 10.03, + "learning_rate": 0.0008418009711748242, + "loss": 1.5975, + "step": 19330 + }, + { + "epoch": 10.04, + "learning_rate": 0.0008415805599156992, + "loss": 1.7858, + "step": 19340 + }, + { + "epoch": 10.04, + "learning_rate": 0.0008413600241185644, + "loss": 1.6696, + "step": 19350 + }, + { + "epoch": 10.05, + "learning_rate": 0.000841139363863826, + "loss": 1.6722, + "step": 19360 + }, + { + "epoch": 10.05, + "learning_rate": 0.000840918579231935, + "loss": 1.7499, + "step": 19370 + }, + { + "epoch": 10.06, + "learning_rate": 0.0008406976703033879, + "loss": 1.7552, + "step": 19380 + }, + { + "epoch": 10.06, + "learning_rate": 0.000840476637158727, + "loss": 1.6308, + "step": 19390 + }, + { + "epoch": 10.07, + "learning_rate": 0.0008402554798785395, + "loss": 1.573, + "step": 19400 + }, + { + "epoch": 10.07, + "learning_rate": 0.0008400341985434575, + "loss": 1.5892, + "step": 19410 + }, + { + "epoch": 10.08, + "learning_rate": 0.000839812793234159, + "loss": 1.5308, + "step": 19420 + }, + { + "epoch": 10.08, + "learning_rate": 0.000839591264031367, + "loss": 1.7723, + "step": 19430 + }, + { + "epoch": 10.09, + "learning_rate": 0.0008393696110158495, + "loss": 1.5531, + "step": 19440 + }, + { + "epoch": 10.09, + "learning_rate": 0.0008391478342684195, + "loss": 1.6957, + "step": 19450 + }, + { + "epoch": 10.1, + "learning_rate": 0.0008389259338699355, + "loss": 1.636, + "step": 19460 + }, + { + "epoch": 10.1, + "learning_rate": 0.000838703909901301, + "loss": 1.8127, + "step": 19470 + }, + { + "epoch": 10.11, + "learning_rate": 0.0008384817624434642, + "loss": 1.7549, + "step": 19480 + }, + { + "epoch": 10.11, + "learning_rate": 0.0008382594915774189, + "loss": 1.6516, + "step": 19490 + }, + { + "epoch": 10.12, + "learning_rate": 0.0008380370973842035, + "loss": 1.7396, + "step": 19500 + }, + { + "epoch": 10.12, + "learning_rate": 0.0008378145799449013, + "loss": 1.6137, + "step": 19510 + }, + { + "epoch": 10.13, + "learning_rate": 0.0008375919393406408, + "loss": 1.7072, + "step": 19520 + }, + { + "epoch": 10.13, + "learning_rate": 0.0008373691756525954, + "loss": 1.7045, + "step": 19530 + }, + { + "epoch": 10.14, + "learning_rate": 0.000837146288961983, + "loss": 1.7213, + "step": 19540 + }, + { + "epoch": 10.15, + "learning_rate": 0.0008369232793500668, + "loss": 1.5688, + "step": 19550 + }, + { + "epoch": 10.15, + "learning_rate": 0.0008367001468981546, + "loss": 1.6494, + "step": 19560 + }, + { + "epoch": 10.16, + "learning_rate": 0.0008364768916875989, + "loss": 1.7834, + "step": 19570 + }, + { + "epoch": 10.16, + "learning_rate": 0.0008362535137997973, + "loss": 1.5781, + "step": 19580 + }, + { + "epoch": 10.17, + "learning_rate": 0.0008360300133161918, + "loss": 1.5922, + "step": 19590 + }, + { + "epoch": 10.17, + "learning_rate": 0.0008358063903182689, + "loss": 1.6863, + "step": 19600 + }, + { + "epoch": 10.18, + "learning_rate": 0.0008355826448875605, + "loss": 1.7007, + "step": 19610 + }, + { + "epoch": 10.18, + "learning_rate": 0.0008353587771056427, + "loss": 1.7944, + "step": 19620 + }, + { + "epoch": 10.19, + "learning_rate": 0.0008351347870541358, + "loss": 1.8503, + "step": 19630 + }, + { + "epoch": 10.19, + "learning_rate": 0.0008349106748147054, + "loss": 1.6262, + "step": 19640 + }, + { + "epoch": 10.2, + "learning_rate": 0.0008346864404690612, + "loss": 1.7324, + "step": 19650 + }, + { + "epoch": 10.2, + "learning_rate": 0.0008344620840989577, + "loss": 1.6073, + "step": 19660 + }, + { + "epoch": 10.21, + "learning_rate": 0.0008342376057861938, + "loss": 1.6837, + "step": 19670 + }, + { + "epoch": 10.21, + "learning_rate": 0.0008340130056126125, + "loss": 1.6396, + "step": 19680 + }, + { + "epoch": 10.22, + "learning_rate": 0.0008337882836601017, + "loss": 1.6971, + "step": 19690 + }, + { + "epoch": 10.22, + "learning_rate": 0.0008335634400105936, + "loss": 1.6755, + "step": 19700 + }, + { + "epoch": 10.23, + "learning_rate": 0.0008333384747460647, + "loss": 1.7068, + "step": 19710 + }, + { + "epoch": 10.23, + "learning_rate": 0.0008331133879485357, + "loss": 1.7389, + "step": 19720 + }, + { + "epoch": 10.24, + "learning_rate": 0.0008328881797000719, + "loss": 1.6065, + "step": 19730 + }, + { + "epoch": 10.24, + "learning_rate": 0.0008326628500827827, + "loss": 1.5788, + "step": 19740 + }, + { + "epoch": 10.25, + "learning_rate": 0.0008324373991788217, + "loss": 1.7423, + "step": 19750 + }, + { + "epoch": 10.25, + "learning_rate": 0.000832211827070387, + "loss": 1.5595, + "step": 19760 + }, + { + "epoch": 10.26, + "learning_rate": 0.0008319861338397205, + "loss": 1.6295, + "step": 19770 + }, + { + "epoch": 10.26, + "learning_rate": 0.0008317603195691086, + "loss": 1.9106, + "step": 19780 + }, + { + "epoch": 10.27, + "learning_rate": 0.0008315343843408816, + "loss": 1.6018, + "step": 19790 + }, + { + "epoch": 10.28, + "learning_rate": 0.000831308328237414, + "loss": 1.7538, + "step": 19800 + }, + { + "epoch": 10.28, + "learning_rate": 0.0008310821513411243, + "loss": 1.699, + "step": 19810 + }, + { + "epoch": 10.29, + "learning_rate": 0.0008308558537344753, + "loss": 1.7823, + "step": 19820 + }, + { + "epoch": 10.29, + "learning_rate": 0.0008306294354999733, + "loss": 1.7676, + "step": 19830 + }, + { + "epoch": 10.3, + "learning_rate": 0.0008304028967201691, + "loss": 1.5569, + "step": 19840 + }, + { + "epoch": 10.3, + "learning_rate": 0.0008301762374776574, + "loss": 1.7127, + "step": 19850 + }, + { + "epoch": 10.31, + "learning_rate": 0.0008299494578550763, + "loss": 1.6094, + "step": 19860 + }, + { + "epoch": 10.31, + "learning_rate": 0.0008297225579351082, + "loss": 1.8603, + "step": 19870 + }, + { + "epoch": 10.32, + "learning_rate": 0.0008294955378004796, + "loss": 1.8029, + "step": 19880 + }, + { + "epoch": 10.32, + "learning_rate": 0.0008292683975339604, + "loss": 1.7637, + "step": 19890 + }, + { + "epoch": 10.33, + "learning_rate": 0.0008290411372183641, + "loss": 1.7702, + "step": 19900 + }, + { + "epoch": 10.33, + "learning_rate": 0.0008288137569365488, + "loss": 1.7252, + "step": 19910 + }, + { + "epoch": 10.34, + "learning_rate": 0.0008285862567714155, + "loss": 1.6501, + "step": 19920 + }, + { + "epoch": 10.34, + "learning_rate": 0.0008283586368059097, + "loss": 1.7447, + "step": 19930 + }, + { + "epoch": 10.35, + "learning_rate": 0.0008281308971230196, + "loss": 1.6704, + "step": 19940 + }, + { + "epoch": 10.35, + "learning_rate": 0.0008279030378057779, + "loss": 1.6243, + "step": 19950 + }, + { + "epoch": 10.36, + "learning_rate": 0.0008276750589372604, + "loss": 1.7619, + "step": 19960 + }, + { + "epoch": 10.36, + "learning_rate": 0.0008274469606005867, + "loss": 1.6063, + "step": 19970 + }, + { + "epoch": 10.37, + "learning_rate": 0.0008272187428789203, + "loss": 1.6336, + "step": 19980 + }, + { + "epoch": 10.37, + "learning_rate": 0.0008269904058554674, + "loss": 1.7225, + "step": 19990 + }, + { + "epoch": 10.38, + "learning_rate": 0.0008267619496134784, + "loss": 1.7391, + "step": 20000 + }, + { + "epoch": 10.38, + "learning_rate": 0.000826533374236247, + "loss": 1.6353, + "step": 20010 + }, + { + "epoch": 10.39, + "learning_rate": 0.0008263046798071101, + "loss": 1.7558, + "step": 20020 + }, + { + "epoch": 10.39, + "learning_rate": 0.0008260758664094483, + "loss": 1.6647, + "step": 20030 + }, + { + "epoch": 10.4, + "learning_rate": 0.0008258469341266853, + "loss": 1.7037, + "step": 20040 + }, + { + "epoch": 10.4, + "learning_rate": 0.0008256178830422884, + "loss": 1.799, + "step": 20050 + }, + { + "epoch": 10.41, + "learning_rate": 0.0008253887132397682, + "loss": 1.6546, + "step": 20060 + }, + { + "epoch": 10.42, + "learning_rate": 0.0008251594248026784, + "loss": 1.7493, + "step": 20070 + }, + { + "epoch": 10.42, + "learning_rate": 0.0008249300178146159, + "loss": 1.6069, + "step": 20080 + }, + { + "epoch": 10.43, + "learning_rate": 0.000824700492359221, + "loss": 1.7261, + "step": 20090 + }, + { + "epoch": 10.43, + "learning_rate": 0.0008244708485201775, + "loss": 1.7366, + "step": 20100 + }, + { + "epoch": 10.44, + "learning_rate": 0.0008242410863812117, + "loss": 1.7636, + "step": 20110 + }, + { + "epoch": 10.44, + "learning_rate": 0.0008240112060260934, + "loss": 1.6129, + "step": 20120 + }, + { + "epoch": 10.45, + "learning_rate": 0.0008237812075386355, + "loss": 1.6077, + "step": 20130 + }, + { + "epoch": 10.45, + "learning_rate": 0.0008235510910026939, + "loss": 1.6412, + "step": 20140 + }, + { + "epoch": 10.46, + "learning_rate": 0.0008233208565021677, + "loss": 1.6965, + "step": 20150 + }, + { + "epoch": 10.46, + "learning_rate": 0.0008230905041209986, + "loss": 1.6617, + "step": 20160 + }, + { + "epoch": 10.47, + "learning_rate": 0.0008228600339431718, + "loss": 1.7644, + "step": 20170 + }, + { + "epoch": 10.47, + "learning_rate": 0.000822629446052715, + "loss": 1.5249, + "step": 20180 + }, + { + "epoch": 10.48, + "learning_rate": 0.0008223987405336994, + "loss": 1.6829, + "step": 20190 + }, + { + "epoch": 10.48, + "learning_rate": 0.0008221679174702382, + "loss": 1.7577, + "step": 20200 + }, + { + "epoch": 10.49, + "learning_rate": 0.0008219369769464883, + "loss": 1.5796, + "step": 20210 + }, + { + "epoch": 10.49, + "learning_rate": 0.0008217059190466489, + "loss": 1.6066, + "step": 20220 + }, + { + "epoch": 10.5, + "learning_rate": 0.0008214747438549622, + "loss": 1.6334, + "step": 20230 + }, + { + "epoch": 10.5, + "learning_rate": 0.0008212434514557133, + "loss": 1.7428, + "step": 20240 + }, + { + "epoch": 10.51, + "learning_rate": 0.0008210120419332298, + "loss": 1.6272, + "step": 20250 + }, + { + "epoch": 10.51, + "learning_rate": 0.0008207805153718819, + "loss": 1.8874, + "step": 20260 + }, + { + "epoch": 10.52, + "learning_rate": 0.0008205488718560829, + "loss": 1.7643, + "step": 20270 + }, + { + "epoch": 10.52, + "learning_rate": 0.0008203171114702884, + "loss": 1.7322, + "step": 20280 + }, + { + "epoch": 10.53, + "learning_rate": 0.0008200852342989969, + "loss": 1.7636, + "step": 20290 + }, + { + "epoch": 10.53, + "learning_rate": 0.0008198532404267488, + "loss": 1.747, + "step": 20300 + }, + { + "epoch": 10.54, + "learning_rate": 0.0008196211299381278, + "loss": 1.8149, + "step": 20310 + }, + { + "epoch": 10.54, + "learning_rate": 0.00081938890291776, + "loss": 1.507, + "step": 20320 + }, + { + "epoch": 10.55, + "learning_rate": 0.0008191565594503137, + "loss": 1.7385, + "step": 20330 + }, + { + "epoch": 10.56, + "learning_rate": 0.0008189240996204997, + "loss": 1.6561, + "step": 20340 + }, + { + "epoch": 10.56, + "learning_rate": 0.0008186915235130714, + "loss": 1.6747, + "step": 20350 + }, + { + "epoch": 10.57, + "learning_rate": 0.0008184588312128245, + "loss": 1.7173, + "step": 20360 + }, + { + "epoch": 10.57, + "learning_rate": 0.0008182260228045971, + "loss": 1.6156, + "step": 20370 + }, + { + "epoch": 10.58, + "learning_rate": 0.0008179930983732696, + "loss": 1.6668, + "step": 20380 + }, + { + "epoch": 10.58, + "learning_rate": 0.0008177600580037647, + "loss": 1.5413, + "step": 20390 + }, + { + "epoch": 10.59, + "learning_rate": 0.0008175269017810472, + "loss": 1.7355, + "step": 20400 + }, + { + "epoch": 10.59, + "learning_rate": 0.0008172936297901246, + "loss": 1.7727, + "step": 20410 + }, + { + "epoch": 10.6, + "learning_rate": 0.0008170602421160463, + "loss": 1.6936, + "step": 20420 + }, + { + "epoch": 10.6, + "learning_rate": 0.0008168267388439037, + "loss": 1.6081, + "step": 20430 + }, + { + "epoch": 10.61, + "learning_rate": 0.0008165931200588306, + "loss": 1.5196, + "step": 20440 + }, + { + "epoch": 10.61, + "learning_rate": 0.0008163593858460027, + "loss": 1.7085, + "step": 20450 + }, + { + "epoch": 10.62, + "learning_rate": 0.0008161255362906384, + "loss": 1.6289, + "step": 20460 + }, + { + "epoch": 10.62, + "learning_rate": 0.0008158915714779975, + "loss": 1.6257, + "step": 20470 + }, + { + "epoch": 10.63, + "learning_rate": 0.0008156574914933818, + "loss": 1.7933, + "step": 20480 + }, + { + "epoch": 10.63, + "learning_rate": 0.0008154232964221356, + "loss": 1.6946, + "step": 20490 + }, + { + "epoch": 10.64, + "learning_rate": 0.0008151889863496446, + "loss": 1.7884, + "step": 20500 + }, + { + "epoch": 10.64, + "learning_rate": 0.0008149545613613372, + "loss": 1.5876, + "step": 20510 + }, + { + "epoch": 10.65, + "learning_rate": 0.0008147200215426826, + "loss": 1.7212, + "step": 20520 + }, + { + "epoch": 10.65, + "learning_rate": 0.0008144853669791926, + "loss": 1.6056, + "step": 20530 + }, + { + "epoch": 10.66, + "learning_rate": 0.0008142505977564209, + "loss": 1.5416, + "step": 20540 + }, + { + "epoch": 10.66, + "learning_rate": 0.0008140157139599627, + "loss": 1.5642, + "step": 20550 + }, + { + "epoch": 10.67, + "learning_rate": 0.0008137807156754553, + "loss": 1.5649, + "step": 20560 + }, + { + "epoch": 10.67, + "learning_rate": 0.0008135456029885772, + "loss": 1.6559, + "step": 20570 + }, + { + "epoch": 10.68, + "learning_rate": 0.0008133103759850489, + "loss": 1.6801, + "step": 20580 + }, + { + "epoch": 10.69, + "learning_rate": 0.0008130750347506328, + "loss": 1.6896, + "step": 20590 + }, + { + "epoch": 10.69, + "learning_rate": 0.0008128395793711329, + "loss": 1.6411, + "step": 20600 + }, + { + "epoch": 10.7, + "learning_rate": 0.0008126040099323943, + "loss": 1.6248, + "step": 20610 + }, + { + "epoch": 10.7, + "learning_rate": 0.0008123683265203042, + "loss": 1.6338, + "step": 20620 + }, + { + "epoch": 10.71, + "learning_rate": 0.0008121325292207912, + "loss": 1.5133, + "step": 20630 + }, + { + "epoch": 10.71, + "learning_rate": 0.0008118966181198257, + "loss": 1.5557, + "step": 20640 + }, + { + "epoch": 10.72, + "learning_rate": 0.000811660593303419, + "loss": 1.7146, + "step": 20650 + }, + { + "epoch": 10.72, + "learning_rate": 0.0008114244548576243, + "loss": 1.5742, + "step": 20660 + }, + { + "epoch": 10.73, + "learning_rate": 0.000811188202868536, + "loss": 1.6909, + "step": 20670 + }, + { + "epoch": 10.73, + "learning_rate": 0.0008109518374222902, + "loss": 1.4557, + "step": 20680 + }, + { + "epoch": 10.74, + "learning_rate": 0.0008107153586050641, + "loss": 1.6167, + "step": 20690 + }, + { + "epoch": 10.74, + "learning_rate": 0.0008104787665030762, + "loss": 1.5466, + "step": 20700 + }, + { + "epoch": 10.75, + "learning_rate": 0.0008102420612025866, + "loss": 1.7289, + "step": 20710 + }, + { + "epoch": 10.75, + "learning_rate": 0.0008100052427898963, + "loss": 1.6483, + "step": 20720 + }, + { + "epoch": 10.76, + "learning_rate": 0.000809768311351348, + "loss": 1.5907, + "step": 20730 + }, + { + "epoch": 10.76, + "learning_rate": 0.000809531266973325, + "loss": 1.5286, + "step": 20740 + }, + { + "epoch": 10.77, + "learning_rate": 0.0008092941097422523, + "loss": 1.6909, + "step": 20750 + }, + { + "epoch": 10.77, + "learning_rate": 0.0008090568397445957, + "loss": 1.5898, + "step": 20760 + }, + { + "epoch": 10.78, + "learning_rate": 0.0008088194570668626, + "loss": 1.5395, + "step": 20770 + }, + { + "epoch": 10.78, + "learning_rate": 0.0008085819617956009, + "loss": 1.9351, + "step": 20780 + }, + { + "epoch": 10.79, + "learning_rate": 0.0008083443540173998, + "loss": 1.5448, + "step": 20790 + }, + { + "epoch": 10.79, + "learning_rate": 0.0008081066338188895, + "loss": 1.5762, + "step": 20800 + }, + { + "epoch": 10.8, + "learning_rate": 0.0008078688012867413, + "loss": 1.629, + "step": 20810 + }, + { + "epoch": 10.8, + "learning_rate": 0.0008076308565076674, + "loss": 1.4561, + "step": 20820 + }, + { + "epoch": 10.81, + "learning_rate": 0.0008073927995684207, + "loss": 1.6926, + "step": 20830 + }, + { + "epoch": 10.81, + "learning_rate": 0.0008071546305557955, + "loss": 1.6087, + "step": 20840 + }, + { + "epoch": 10.82, + "learning_rate": 0.0008069163495566263, + "loss": 1.6436, + "step": 20850 + }, + { + "epoch": 10.83, + "learning_rate": 0.000806677956657789, + "loss": 1.5916, + "step": 20860 + }, + { + "epoch": 10.83, + "learning_rate": 0.0008064394519462, + "loss": 1.5723, + "step": 20870 + }, + { + "epoch": 10.84, + "learning_rate": 0.0008062008355088166, + "loss": 1.5607, + "step": 20880 + }, + { + "epoch": 10.84, + "learning_rate": 0.0008059621074326367, + "loss": 1.7147, + "step": 20890 + }, + { + "epoch": 10.85, + "learning_rate": 0.0008057232678046988, + "loss": 1.6282, + "step": 20900 + }, + { + "epoch": 10.85, + "learning_rate": 0.0008054843167120826, + "loss": 1.6724, + "step": 20910 + }, + { + "epoch": 10.86, + "learning_rate": 0.000805245254241908, + "loss": 1.4804, + "step": 20920 + }, + { + "epoch": 10.86, + "learning_rate": 0.0008050060804813355, + "loss": 1.6362, + "step": 20930 + }, + { + "epoch": 10.87, + "learning_rate": 0.0008047667955175662, + "loss": 1.6929, + "step": 20940 + }, + { + "epoch": 10.87, + "learning_rate": 0.0008045273994378419, + "loss": 1.4288, + "step": 20950 + }, + { + "epoch": 10.88, + "learning_rate": 0.0008042878923294448, + "loss": 1.4788, + "step": 20960 + }, + { + "epoch": 10.88, + "learning_rate": 0.0008040482742796976, + "loss": 1.9197, + "step": 20970 + }, + { + "epoch": 10.89, + "learning_rate": 0.0008038085453759636, + "loss": 1.6891, + "step": 20980 + }, + { + "epoch": 10.89, + "learning_rate": 0.0008035687057056462, + "loss": 1.5828, + "step": 20990 + }, + { + "epoch": 10.9, + "learning_rate": 0.0008033287553561895, + "loss": 1.5094, + "step": 21000 + }, + { + "epoch": 10.9, + "learning_rate": 0.0008030886944150775, + "loss": 1.8679, + "step": 21010 + }, + { + "epoch": 10.91, + "learning_rate": 0.0008028485229698352, + "loss": 1.6638, + "step": 21020 + }, + { + "epoch": 10.91, + "learning_rate": 0.0008026082411080273, + "loss": 1.5102, + "step": 21030 + }, + { + "epoch": 10.92, + "learning_rate": 0.000802367848917259, + "loss": 1.4554, + "step": 21040 + }, + { + "epoch": 10.92, + "learning_rate": 0.000802127346485176, + "loss": 1.7006, + "step": 21050 + }, + { + "epoch": 10.93, + "learning_rate": 0.0008018867338994634, + "loss": 1.5274, + "step": 21060 + }, + { + "epoch": 10.93, + "learning_rate": 0.0008016460112478471, + "loss": 1.4812, + "step": 21070 + }, + { + "epoch": 10.94, + "learning_rate": 0.0008014051786180931, + "loss": 1.712, + "step": 21080 + }, + { + "epoch": 10.94, + "learning_rate": 0.0008011642360980076, + "loss": 1.5969, + "step": 21090 + }, + { + "epoch": 10.95, + "learning_rate": 0.0008009231837754363, + "loss": 1.5231, + "step": 21100 + }, + { + "epoch": 10.95, + "learning_rate": 0.0008006820217382652, + "loss": 1.4777, + "step": 21110 + }, + { + "epoch": 10.96, + "learning_rate": 0.0008004407500744207, + "loss": 1.4811, + "step": 21120 + }, + { + "epoch": 10.97, + "learning_rate": 0.0008001993688718687, + "loss": 1.5022, + "step": 21130 + }, + { + "epoch": 10.97, + "learning_rate": 0.0007999578782186152, + "loss": 1.51, + "step": 21140 + }, + { + "epoch": 10.98, + "learning_rate": 0.0007997162782027061, + "loss": 1.7038, + "step": 21150 + }, + { + "epoch": 10.98, + "learning_rate": 0.0007994745689122271, + "loss": 1.5184, + "step": 21160 + }, + { + "epoch": 10.99, + "learning_rate": 0.0007992327504353038, + "loss": 1.5444, + "step": 21170 + }, + { + "epoch": 10.99, + "learning_rate": 0.000798990822860102, + "loss": 1.627, + "step": 21180 + }, + { + "epoch": 11.0, + "learning_rate": 0.0007987487862748262, + "loss": 1.5298, + "step": 21190 + }, + { + "epoch": 11.0, + "eval_accuracy": { + "accuracy": 0.46718547341115435 + }, + "eval_f1": { + "f1": 0.4188714217488438 + }, + "eval_loss": 1.3465330600738525, + "eval_precision": { + "precision": 0.41426640127137376 + }, + "eval_recall": { + "recall": 0.4948604123766437 + }, + "eval_runtime": 194.4976, + "eval_samples_per_second": 19.82, + "eval_steps_per_second": 9.913, + "step": 21197 + }, + { + "epoch": 11.0, + "learning_rate": 0.0007985066407677219, + "loss": 1.5332, + "step": 21200 + }, + { + "epoch": 11.01, + "learning_rate": 0.0007982643864270735, + "loss": 1.5636, + "step": 21210 + }, + { + "epoch": 11.01, + "learning_rate": 0.0007980220233412055, + "loss": 1.5377, + "step": 21220 + }, + { + "epoch": 11.02, + "learning_rate": 0.0007977795515984817, + "loss": 1.6112, + "step": 21230 + }, + { + "epoch": 11.02, + "learning_rate": 0.0007975369712873057, + "loss": 1.6851, + "step": 21240 + }, + { + "epoch": 11.03, + "learning_rate": 0.0007972942824961207, + "loss": 1.5181, + "step": 21250 + }, + { + "epoch": 11.03, + "learning_rate": 0.0007970514853134095, + "loss": 1.6028, + "step": 21260 + }, + { + "epoch": 11.04, + "learning_rate": 0.0007968085798276943, + "loss": 1.6585, + "step": 21270 + }, + { + "epoch": 11.04, + "learning_rate": 0.0007965655661275368, + "loss": 1.509, + "step": 21280 + }, + { + "epoch": 11.05, + "learning_rate": 0.0007963224443015382, + "loss": 1.6334, + "step": 21290 + }, + { + "epoch": 11.05, + "learning_rate": 0.0007960792144383391, + "loss": 1.5433, + "step": 21300 + }, + { + "epoch": 11.06, + "learning_rate": 0.0007958358766266197, + "loss": 1.5391, + "step": 21310 + }, + { + "epoch": 11.06, + "learning_rate": 0.000795592430955099, + "loss": 1.5199, + "step": 21320 + }, + { + "epoch": 11.07, + "learning_rate": 0.0007953488775125358, + "loss": 1.5157, + "step": 21330 + }, + { + "epoch": 11.07, + "learning_rate": 0.0007951052163877281, + "loss": 1.5375, + "step": 21340 + }, + { + "epoch": 11.08, + "learning_rate": 0.0007948614476695133, + "loss": 1.4858, + "step": 21350 + }, + { + "epoch": 11.08, + "learning_rate": 0.0007946175714467678, + "loss": 1.4889, + "step": 21360 + }, + { + "epoch": 11.09, + "learning_rate": 0.0007943735878084071, + "loss": 1.549, + "step": 21370 + }, + { + "epoch": 11.09, + "learning_rate": 0.0007941294968433858, + "loss": 1.5715, + "step": 21380 + }, + { + "epoch": 11.1, + "learning_rate": 0.0007938852986406985, + "loss": 1.6116, + "step": 21390 + }, + { + "epoch": 11.11, + "learning_rate": 0.0007936409932893778, + "loss": 1.4787, + "step": 21400 + }, + { + "epoch": 11.11, + "learning_rate": 0.0007933965808784957, + "loss": 1.6186, + "step": 21410 + }, + { + "epoch": 11.12, + "learning_rate": 0.0007931520614971638, + "loss": 1.5989, + "step": 21420 + }, + { + "epoch": 11.12, + "learning_rate": 0.0007929074352345318, + "loss": 1.6194, + "step": 21430 + }, + { + "epoch": 11.13, + "learning_rate": 0.0007926627021797891, + "loss": 1.7698, + "step": 21440 + }, + { + "epoch": 11.13, + "learning_rate": 0.0007924178624221636, + "loss": 1.5963, + "step": 21450 + }, + { + "epoch": 11.14, + "learning_rate": 0.0007921729160509225, + "loss": 1.5013, + "step": 21460 + }, + { + "epoch": 11.14, + "learning_rate": 0.0007919278631553713, + "loss": 1.5865, + "step": 21470 + }, + { + "epoch": 11.15, + "learning_rate": 0.0007916827038248547, + "loss": 1.4129, + "step": 21480 + }, + { + "epoch": 11.15, + "learning_rate": 0.0007914374381487564, + "loss": 1.5089, + "step": 21490 + }, + { + "epoch": 11.16, + "learning_rate": 0.0007911920662164985, + "loss": 1.4169, + "step": 21500 + }, + { + "epoch": 11.16, + "learning_rate": 0.0007909465881175419, + "loss": 1.5392, + "step": 21510 + }, + { + "epoch": 11.17, + "learning_rate": 0.0007907010039413865, + "loss": 1.3947, + "step": 21520 + }, + { + "epoch": 11.17, + "learning_rate": 0.0007904553137775702, + "loss": 1.5883, + "step": 21530 + }, + { + "epoch": 11.18, + "learning_rate": 0.0007902095177156707, + "loss": 1.593, + "step": 21540 + }, + { + "epoch": 11.18, + "learning_rate": 0.0007899636158453032, + "loss": 1.606, + "step": 21550 + }, + { + "epoch": 11.19, + "learning_rate": 0.0007897176082561219, + "loss": 1.5666, + "step": 21560 + }, + { + "epoch": 11.19, + "learning_rate": 0.0007894714950378197, + "loss": 1.3754, + "step": 21570 + }, + { + "epoch": 11.2, + "learning_rate": 0.0007892252762801276, + "loss": 1.5479, + "step": 21580 + }, + { + "epoch": 11.2, + "learning_rate": 0.0007889789520728155, + "loss": 1.3955, + "step": 21590 + }, + { + "epoch": 11.21, + "learning_rate": 0.0007887325225056916, + "loss": 1.7297, + "step": 21600 + }, + { + "epoch": 11.21, + "learning_rate": 0.0007884859876686024, + "loss": 1.5064, + "step": 21610 + }, + { + "epoch": 11.22, + "learning_rate": 0.0007882393476514329, + "loss": 1.4094, + "step": 21620 + }, + { + "epoch": 11.22, + "learning_rate": 0.0007879926025441066, + "loss": 1.4921, + "step": 21630 + }, + { + "epoch": 11.23, + "learning_rate": 0.0007877457524365848, + "loss": 1.4637, + "step": 21640 + }, + { + "epoch": 11.24, + "learning_rate": 0.0007874987974188675, + "loss": 1.4903, + "step": 21650 + }, + { + "epoch": 11.24, + "learning_rate": 0.0007872517375809929, + "loss": 1.4895, + "step": 21660 + }, + { + "epoch": 11.25, + "learning_rate": 0.0007870045730130375, + "loss": 1.5463, + "step": 21670 + }, + { + "epoch": 11.25, + "learning_rate": 0.0007867573038051156, + "loss": 1.6203, + "step": 21680 + }, + { + "epoch": 11.26, + "learning_rate": 0.0007865099300473804, + "loss": 1.7123, + "step": 21690 + }, + { + "epoch": 11.26, + "learning_rate": 0.0007862624518300222, + "loss": 1.884, + "step": 21700 + }, + { + "epoch": 11.27, + "learning_rate": 0.0007860148692432703, + "loss": 2.0276, + "step": 21710 + }, + { + "epoch": 11.27, + "learning_rate": 0.0007857671823773914, + "loss": 1.6984, + "step": 21720 + }, + { + "epoch": 11.28, + "learning_rate": 0.0007855193913226905, + "loss": 1.6476, + "step": 21730 + }, + { + "epoch": 11.28, + "learning_rate": 0.0007852714961695109, + "loss": 1.615, + "step": 21740 + }, + { + "epoch": 11.29, + "learning_rate": 0.0007850234970082333, + "loss": 1.5339, + "step": 21750 + }, + { + "epoch": 11.29, + "learning_rate": 0.0007847753939292764, + "loss": 1.6289, + "step": 21760 + }, + { + "epoch": 11.3, + "learning_rate": 0.0007845271870230972, + "loss": 1.5788, + "step": 21770 + }, + { + "epoch": 11.3, + "learning_rate": 0.0007842788763801901, + "loss": 1.3275, + "step": 21780 + }, + { + "epoch": 11.31, + "learning_rate": 0.0007840304620910877, + "loss": 1.5183, + "step": 21790 + }, + { + "epoch": 11.31, + "learning_rate": 0.0007837819442463601, + "loss": 1.3272, + "step": 21800 + }, + { + "epoch": 11.32, + "learning_rate": 0.0007835333229366154, + "loss": 1.3686, + "step": 21810 + }, + { + "epoch": 11.32, + "learning_rate": 0.000783284598252499, + "loss": 1.4811, + "step": 21820 + }, + { + "epoch": 11.33, + "learning_rate": 0.0007830357702846944, + "loss": 1.3942, + "step": 21830 + }, + { + "epoch": 11.33, + "learning_rate": 0.0007827868391239227, + "loss": 1.6312, + "step": 21840 + }, + { + "epoch": 11.34, + "learning_rate": 0.0007825378048609427, + "loss": 1.618, + "step": 21850 + }, + { + "epoch": 11.34, + "learning_rate": 0.0007822886675865503, + "loss": 1.4124, + "step": 21860 + }, + { + "epoch": 11.35, + "learning_rate": 0.0007820394273915794, + "loss": 1.5759, + "step": 21870 + }, + { + "epoch": 11.35, + "learning_rate": 0.0007817900843669015, + "loss": 1.6723, + "step": 21880 + }, + { + "epoch": 11.36, + "learning_rate": 0.0007815406386034252, + "loss": 1.414, + "step": 21890 + }, + { + "epoch": 11.36, + "learning_rate": 0.0007812910901920969, + "loss": 1.4628, + "step": 21900 + }, + { + "epoch": 11.37, + "learning_rate": 0.0007810414392239002, + "loss": 1.5615, + "step": 21910 + }, + { + "epoch": 11.38, + "learning_rate": 0.0007807916857898564, + "loss": 1.5874, + "step": 21920 + }, + { + "epoch": 11.38, + "learning_rate": 0.0007805418299810236, + "loss": 1.5437, + "step": 21930 + }, + { + "epoch": 11.39, + "learning_rate": 0.000780291871888498, + "loss": 1.4822, + "step": 21940 + }, + { + "epoch": 11.39, + "learning_rate": 0.0007800418116034124, + "loss": 1.5061, + "step": 21950 + }, + { + "epoch": 11.4, + "learning_rate": 0.000779791649216937, + "loss": 1.4001, + "step": 21960 + }, + { + "epoch": 11.4, + "learning_rate": 0.0007795413848202797, + "loss": 1.6048, + "step": 21970 + }, + { + "epoch": 11.41, + "learning_rate": 0.000779291018504685, + "loss": 1.4148, + "step": 21980 + }, + { + "epoch": 11.41, + "learning_rate": 0.0007790405503614349, + "loss": 1.5085, + "step": 21990 + }, + { + "epoch": 11.42, + "learning_rate": 0.0007787899804818483, + "loss": 1.4652, + "step": 22000 + }, + { + "epoch": 11.42, + "learning_rate": 0.0007785393089572814, + "loss": 1.7414, + "step": 22010 + }, + { + "epoch": 11.43, + "learning_rate": 0.0007782885358791274, + "loss": 1.6251, + "step": 22020 + }, + { + "epoch": 11.43, + "learning_rate": 0.0007780376613388165, + "loss": 1.3955, + "step": 22030 + }, + { + "epoch": 11.44, + "learning_rate": 0.0007777866854278157, + "loss": 1.3389, + "step": 22040 + }, + { + "epoch": 11.44, + "learning_rate": 0.0007775356082376296, + "loss": 1.5705, + "step": 22050 + }, + { + "epoch": 11.45, + "learning_rate": 0.0007772844298597988, + "loss": 1.6243, + "step": 22060 + }, + { + "epoch": 11.45, + "learning_rate": 0.0007770331503859018, + "loss": 1.5605, + "step": 22070 + }, + { + "epoch": 11.46, + "learning_rate": 0.0007767817699075528, + "loss": 1.5934, + "step": 22080 + }, + { + "epoch": 11.46, + "learning_rate": 0.0007765302885164038, + "loss": 1.5003, + "step": 22090 + }, + { + "epoch": 11.47, + "learning_rate": 0.0007762787063041434, + "loss": 1.5809, + "step": 22100 + }, + { + "epoch": 11.47, + "learning_rate": 0.0007760270233624964, + "loss": 1.6217, + "step": 22110 + }, + { + "epoch": 11.48, + "learning_rate": 0.0007757752397832252, + "loss": 1.7394, + "step": 22120 + }, + { + "epoch": 11.48, + "learning_rate": 0.000775523355658128, + "loss": 1.6742, + "step": 22130 + }, + { + "epoch": 11.49, + "learning_rate": 0.0007752713710790404, + "loss": 1.5814, + "step": 22140 + }, + { + "epoch": 11.49, + "learning_rate": 0.0007750192861378341, + "loss": 1.5658, + "step": 22150 + }, + { + "epoch": 11.5, + "learning_rate": 0.0007747671009264178, + "loss": 1.5133, + "step": 22160 + }, + { + "epoch": 11.5, + "learning_rate": 0.0007745148155367364, + "loss": 1.4386, + "step": 22170 + }, + { + "epoch": 11.51, + "learning_rate": 0.0007742624300607715, + "loss": 1.5617, + "step": 22180 + }, + { + "epoch": 11.52, + "learning_rate": 0.0007740099445905411, + "loss": 1.6447, + "step": 22190 + }, + { + "epoch": 11.52, + "learning_rate": 0.0007737573592181, + "loss": 1.4193, + "step": 22200 + }, + { + "epoch": 11.53, + "learning_rate": 0.0007735046740355389, + "loss": 1.5798, + "step": 22210 + }, + { + "epoch": 11.53, + "learning_rate": 0.0007732518891349851, + "loss": 1.5869, + "step": 22220 + }, + { + "epoch": 11.54, + "learning_rate": 0.0007729990046086026, + "loss": 1.7619, + "step": 22230 + }, + { + "epoch": 11.54, + "learning_rate": 0.0007727460205485911, + "loss": 1.783, + "step": 22240 + }, + { + "epoch": 11.55, + "learning_rate": 0.0007724929370471872, + "loss": 1.7116, + "step": 22250 + }, + { + "epoch": 11.55, + "learning_rate": 0.0007722397541966632, + "loss": 1.6417, + "step": 22260 + }, + { + "epoch": 11.56, + "learning_rate": 0.0007719864720893281, + "loss": 1.5286, + "step": 22270 + }, + { + "epoch": 11.56, + "learning_rate": 0.0007717330908175268, + "loss": 1.5593, + "step": 22280 + }, + { + "epoch": 11.57, + "learning_rate": 0.0007714796104736404, + "loss": 1.9002, + "step": 22290 + }, + { + "epoch": 11.57, + "learning_rate": 0.0007712260311500863, + "loss": 1.548, + "step": 22300 + }, + { + "epoch": 11.58, + "learning_rate": 0.0007709723529393175, + "loss": 1.5712, + "step": 22310 + }, + { + "epoch": 11.58, + "learning_rate": 0.0007707185759338237, + "loss": 1.5299, + "step": 22320 + }, + { + "epoch": 11.59, + "learning_rate": 0.0007704647002261303, + "loss": 1.7557, + "step": 22330 + }, + { + "epoch": 11.59, + "learning_rate": 0.0007702107259087987, + "loss": 1.6734, + "step": 22340 + }, + { + "epoch": 11.6, + "learning_rate": 0.0007699566530744262, + "loss": 1.6217, + "step": 22350 + }, + { + "epoch": 11.6, + "learning_rate": 0.0007697024818156459, + "loss": 1.6293, + "step": 22360 + }, + { + "epoch": 11.61, + "learning_rate": 0.0007694482122251272, + "loss": 1.8722, + "step": 22370 + }, + { + "epoch": 11.61, + "learning_rate": 0.0007691938443955751, + "loss": 1.5977, + "step": 22380 + }, + { + "epoch": 11.62, + "learning_rate": 0.0007689393784197303, + "loss": 1.5815, + "step": 22390 + }, + { + "epoch": 11.62, + "learning_rate": 0.0007686848143903693, + "loss": 1.6873, + "step": 22400 + }, + { + "epoch": 11.63, + "learning_rate": 0.0007684301524003049, + "loss": 1.5311, + "step": 22410 + }, + { + "epoch": 11.63, + "learning_rate": 0.0007681753925423846, + "loss": 1.7016, + "step": 22420 + }, + { + "epoch": 11.64, + "learning_rate": 0.0007679205349094927, + "loss": 1.4795, + "step": 22430 + }, + { + "epoch": 11.65, + "learning_rate": 0.0007676655795945484, + "loss": 1.6081, + "step": 22440 + }, + { + "epoch": 11.65, + "learning_rate": 0.0007674105266905065, + "loss": 1.5185, + "step": 22450 + }, + { + "epoch": 11.66, + "learning_rate": 0.000767155376290358, + "loss": 1.4479, + "step": 22460 + }, + { + "epoch": 11.66, + "learning_rate": 0.0007669001284871286, + "loss": 1.6247, + "step": 22470 + }, + { + "epoch": 11.67, + "learning_rate": 0.0007666447833738803, + "loss": 1.534, + "step": 22480 + }, + { + "epoch": 11.67, + "learning_rate": 0.00076638934104371, + "loss": 1.4489, + "step": 22490 + }, + { + "epoch": 11.68, + "learning_rate": 0.0007661338015897505, + "loss": 1.5347, + "step": 22500 + }, + { + "epoch": 11.68, + "learning_rate": 0.0007658781651051697, + "loss": 1.5885, + "step": 22510 + }, + { + "epoch": 11.69, + "learning_rate": 0.0007656224316831711, + "loss": 1.4377, + "step": 22520 + }, + { + "epoch": 11.69, + "learning_rate": 0.0007653666014169931, + "loss": 1.5669, + "step": 22530 + }, + { + "epoch": 11.7, + "learning_rate": 0.0007651106743999098, + "loss": 1.4317, + "step": 22540 + }, + { + "epoch": 11.7, + "learning_rate": 0.0007648546507252308, + "loss": 1.6138, + "step": 22550 + }, + { + "epoch": 11.71, + "learning_rate": 0.0007645985304863003, + "loss": 1.5313, + "step": 22560 + }, + { + "epoch": 11.71, + "learning_rate": 0.0007643423137764982, + "loss": 1.5465, + "step": 22570 + }, + { + "epoch": 11.72, + "learning_rate": 0.0007640860006892394, + "loss": 1.7053, + "step": 22580 + }, + { + "epoch": 11.72, + "learning_rate": 0.000763829591317974, + "loss": 1.4791, + "step": 22590 + }, + { + "epoch": 11.73, + "learning_rate": 0.0007635730857561871, + "loss": 1.4776, + "step": 22600 + }, + { + "epoch": 11.73, + "learning_rate": 0.0007633164840973989, + "loss": 1.4011, + "step": 22610 + }, + { + "epoch": 11.74, + "learning_rate": 0.0007630597864351645, + "loss": 1.4728, + "step": 22620 + }, + { + "epoch": 11.74, + "learning_rate": 0.0007628029928630747, + "loss": 1.4482, + "step": 22630 + }, + { + "epoch": 11.75, + "learning_rate": 0.0007625461034747541, + "loss": 1.4318, + "step": 22640 + }, + { + "epoch": 11.75, + "learning_rate": 0.0007622891183638633, + "loss": 1.6094, + "step": 22650 + }, + { + "epoch": 11.76, + "learning_rate": 0.0007620320376240972, + "loss": 1.6027, + "step": 22660 + }, + { + "epoch": 11.76, + "learning_rate": 0.0007617748613491858, + "loss": 1.4384, + "step": 22670 + }, + { + "epoch": 11.77, + "learning_rate": 0.0007615175896328938, + "loss": 1.4359, + "step": 22680 + }, + { + "epoch": 11.77, + "learning_rate": 0.0007612602225690209, + "loss": 1.5231, + "step": 22690 + }, + { + "epoch": 11.78, + "learning_rate": 0.0007610027602514011, + "loss": 1.5305, + "step": 22700 + }, + { + "epoch": 11.79, + "learning_rate": 0.000760745202773904, + "loss": 1.5439, + "step": 22710 + }, + { + "epoch": 11.79, + "learning_rate": 0.0007604875502304327, + "loss": 1.5968, + "step": 22720 + }, + { + "epoch": 11.8, + "learning_rate": 0.0007602298027149262, + "loss": 1.3715, + "step": 22730 + }, + { + "epoch": 11.8, + "learning_rate": 0.0007599719603213572, + "loss": 1.4726, + "step": 22740 + }, + { + "epoch": 11.81, + "learning_rate": 0.0007597140231437333, + "loss": 1.5915, + "step": 22750 + }, + { + "epoch": 11.81, + "learning_rate": 0.000759455991276097, + "loss": 1.6387, + "step": 22760 + }, + { + "epoch": 11.82, + "learning_rate": 0.0007591978648125246, + "loss": 1.7036, + "step": 22770 + }, + { + "epoch": 11.82, + "learning_rate": 0.0007589396438471276, + "loss": 1.5881, + "step": 22780 + }, + { + "epoch": 11.83, + "learning_rate": 0.0007586813284740514, + "loss": 1.5138, + "step": 22790 + }, + { + "epoch": 11.83, + "learning_rate": 0.0007584229187874765, + "loss": 1.6262, + "step": 22800 + }, + { + "epoch": 11.84, + "learning_rate": 0.0007581644148816169, + "loss": 1.52, + "step": 22810 + }, + { + "epoch": 11.84, + "learning_rate": 0.0007579058168507217, + "loss": 1.8329, + "step": 22820 + }, + { + "epoch": 11.85, + "learning_rate": 0.0007576471247890739, + "loss": 1.4998, + "step": 22830 + }, + { + "epoch": 11.85, + "learning_rate": 0.000757388338790991, + "loss": 1.5454, + "step": 22840 + }, + { + "epoch": 11.86, + "learning_rate": 0.0007571294589508247, + "loss": 1.2622, + "step": 22850 + }, + { + "epoch": 11.86, + "learning_rate": 0.0007568704853629604, + "loss": 1.4487, + "step": 22860 + }, + { + "epoch": 11.87, + "learning_rate": 0.0007566114181218189, + "loss": 1.6154, + "step": 22870 + }, + { + "epoch": 11.87, + "learning_rate": 0.0007563522573218539, + "loss": 1.4601, + "step": 22880 + }, + { + "epoch": 11.88, + "learning_rate": 0.0007560930030575538, + "loss": 1.589, + "step": 22890 + }, + { + "epoch": 11.88, + "learning_rate": 0.000755833655423441, + "loss": 1.682, + "step": 22900 + }, + { + "epoch": 11.89, + "learning_rate": 0.0007555742145140722, + "loss": 1.9207, + "step": 22910 + }, + { + "epoch": 11.89, + "learning_rate": 0.0007553146804240374, + "loss": 1.8066, + "step": 22920 + }, + { + "epoch": 11.9, + "learning_rate": 0.0007550550532479612, + "loss": 1.7496, + "step": 22930 + }, + { + "epoch": 11.9, + "learning_rate": 0.0007547953330805021, + "loss": 1.6789, + "step": 22940 + }, + { + "epoch": 11.91, + "learning_rate": 0.0007545355200163522, + "loss": 1.6205, + "step": 22950 + }, + { + "epoch": 11.91, + "learning_rate": 0.0007542756141502376, + "loss": 1.4813, + "step": 22960 + }, + { + "epoch": 11.92, + "learning_rate": 0.0007540156155769182, + "loss": 1.3989, + "step": 22970 + }, + { + "epoch": 11.93, + "learning_rate": 0.000753755524391188, + "loss": 1.6348, + "step": 22980 + }, + { + "epoch": 11.93, + "learning_rate": 0.0007534953406878741, + "loss": 1.5096, + "step": 22990 + }, + { + "epoch": 11.94, + "learning_rate": 0.0007532350645618383, + "loss": 1.682, + "step": 23000 + }, + { + "epoch": 11.94, + "learning_rate": 0.0007529746961079753, + "loss": 1.7338, + "step": 23010 + }, + { + "epoch": 11.95, + "learning_rate": 0.0007527142354212136, + "loss": 1.6581, + "step": 23020 + }, + { + "epoch": 11.95, + "learning_rate": 0.0007524536825965154, + "loss": 2.0326, + "step": 23030 + }, + { + "epoch": 11.96, + "learning_rate": 0.0007521930377288768, + "loss": 1.8598, + "step": 23040 + }, + { + "epoch": 11.96, + "learning_rate": 0.0007519323009133272, + "loss": 1.7569, + "step": 23050 + }, + { + "epoch": 11.97, + "learning_rate": 0.0007516714722449291, + "loss": 1.5758, + "step": 23060 + }, + { + "epoch": 11.97, + "learning_rate": 0.0007514105518187794, + "loss": 1.8387, + "step": 23070 + }, + { + "epoch": 11.98, + "learning_rate": 0.0007511495397300075, + "loss": 1.7581, + "step": 23080 + }, + { + "epoch": 11.98, + "learning_rate": 0.0007508884360737774, + "loss": 1.8619, + "step": 23090 + }, + { + "epoch": 11.99, + "learning_rate": 0.0007506272409452848, + "loss": 1.7843, + "step": 23100 + }, + { + "epoch": 11.99, + "learning_rate": 0.0007503659544397603, + "loss": 1.8354, + "step": 23110 + }, + { + "epoch": 12.0, + "learning_rate": 0.0007501045766524672, + "loss": 1.7964, + "step": 23120 + }, + { + "epoch": 12.0, + "eval_accuracy": { + "accuracy": 0.2059662775616083 + }, + "eval_f1": { + "f1": 0.15046942523030551 + }, + "eval_loss": 2.1154468059539795, + "eval_precision": { + "precision": 0.24607297755729998 + }, + "eval_recall": { + "recall": 0.1965173812427065 + }, + "eval_runtime": 178.6004, + "eval_samples_per_second": 21.584, + "eval_steps_per_second": 10.795, + "step": 23124 + }, + { + "epoch": 12.0, + "learning_rate": 0.000749843107678702, + "loss": 1.7875, + "step": 23130 + }, + { + "epoch": 12.01, + "learning_rate": 0.0007495815476137946, + "loss": 1.9281, + "step": 23140 + }, + { + "epoch": 12.01, + "learning_rate": 0.000749319896553108, + "loss": 1.7574, + "step": 23150 + }, + { + "epoch": 12.02, + "learning_rate": 0.0007490581545920388, + "loss": 1.7594, + "step": 23160 + }, + { + "epoch": 12.02, + "learning_rate": 0.0007487963218260156, + "loss": 1.8301, + "step": 23170 + }, + { + "epoch": 12.03, + "learning_rate": 0.0007485343983505018, + "loss": 1.6574, + "step": 23180 + }, + { + "epoch": 12.03, + "learning_rate": 0.0007482723842609924, + "loss": 1.8448, + "step": 23190 + }, + { + "epoch": 12.04, + "learning_rate": 0.0007480102796530161, + "loss": 1.9692, + "step": 23200 + }, + { + "epoch": 12.04, + "learning_rate": 0.0007477480846221346, + "loss": 1.9614, + "step": 23210 + }, + { + "epoch": 12.05, + "learning_rate": 0.0007474857992639425, + "loss": 1.8287, + "step": 23220 + }, + { + "epoch": 12.06, + "learning_rate": 0.0007472234236740672, + "loss": 1.9055, + "step": 23230 + }, + { + "epoch": 12.06, + "learning_rate": 0.0007469609579481689, + "loss": 1.9807, + "step": 23240 + }, + { + "epoch": 12.07, + "learning_rate": 0.0007466984021819412, + "loss": 1.8013, + "step": 23250 + }, + { + "epoch": 12.07, + "learning_rate": 0.0007464357564711102, + "loss": 1.9062, + "step": 23260 + }, + { + "epoch": 12.08, + "learning_rate": 0.0007461730209114348, + "loss": 1.9173, + "step": 23270 + }, + { + "epoch": 12.08, + "learning_rate": 0.0007459101955987062, + "loss": 1.9275, + "step": 23280 + }, + { + "epoch": 12.09, + "learning_rate": 0.0007456472806287493, + "loss": 1.8274, + "step": 23290 + }, + { + "epoch": 12.09, + "learning_rate": 0.0007453842760974207, + "loss": 1.8803, + "step": 23300 + }, + { + "epoch": 12.1, + "learning_rate": 0.0007451211821006107, + "loss": 1.9396, + "step": 23310 + }, + { + "epoch": 12.1, + "learning_rate": 0.0007448579987342412, + "loss": 1.86, + "step": 23320 + }, + { + "epoch": 12.11, + "learning_rate": 0.0007445947260942672, + "loss": 1.8808, + "step": 23330 + }, + { + "epoch": 12.11, + "learning_rate": 0.0007443313642766759, + "loss": 1.8754, + "step": 23340 + }, + { + "epoch": 12.12, + "learning_rate": 0.0007440679133774877, + "loss": 1.8806, + "step": 23350 + }, + { + "epoch": 12.12, + "learning_rate": 0.0007438043734927549, + "loss": 1.7697, + "step": 23360 + }, + { + "epoch": 12.13, + "learning_rate": 0.0007435407447185622, + "loss": 1.9435, + "step": 23370 + }, + { + "epoch": 12.13, + "learning_rate": 0.0007432770271510274, + "loss": 1.8623, + "step": 23380 + }, + { + "epoch": 12.14, + "learning_rate": 0.0007430132208862996, + "loss": 1.8164, + "step": 23390 + }, + { + "epoch": 12.14, + "learning_rate": 0.0007427493260205613, + "loss": 1.8316, + "step": 23400 + }, + { + "epoch": 12.15, + "learning_rate": 0.0007424853426500264, + "loss": 1.9059, + "step": 23410 + }, + { + "epoch": 12.15, + "learning_rate": 0.0007422212708709418, + "loss": 1.781, + "step": 23420 + }, + { + "epoch": 12.16, + "learning_rate": 0.0007419571107795861, + "loss": 1.8236, + "step": 23430 + }, + { + "epoch": 12.16, + "learning_rate": 0.0007416928624722706, + "loss": 1.7679, + "step": 23440 + }, + { + "epoch": 12.17, + "learning_rate": 0.0007414285260453383, + "loss": 1.7847, + "step": 23450 + }, + { + "epoch": 12.17, + "learning_rate": 0.0007411641015951645, + "loss": 1.8191, + "step": 23460 + }, + { + "epoch": 12.18, + "learning_rate": 0.0007408995892181565, + "loss": 1.8611, + "step": 23470 + }, + { + "epoch": 12.18, + "learning_rate": 0.0007406349890107539, + "loss": 1.8868, + "step": 23480 + }, + { + "epoch": 12.19, + "learning_rate": 0.0007403703010694281, + "loss": 1.7893, + "step": 23490 + }, + { + "epoch": 12.2, + "learning_rate": 0.0007401055254906829, + "loss": 1.7112, + "step": 23500 + }, + { + "epoch": 12.2, + "learning_rate": 0.0007398406623710533, + "loss": 1.8494, + "step": 23510 + }, + { + "epoch": 12.21, + "learning_rate": 0.0007395757118071067, + "loss": 1.7485, + "step": 23520 + }, + { + "epoch": 12.21, + "learning_rate": 0.0007393106738954426, + "loss": 1.8959, + "step": 23530 + }, + { + "epoch": 12.22, + "learning_rate": 0.0007390455487326919, + "loss": 1.9892, + "step": 23540 + }, + { + "epoch": 12.22, + "learning_rate": 0.0007387803364155175, + "loss": 1.8214, + "step": 23550 + }, + { + "epoch": 12.23, + "learning_rate": 0.0007385150370406138, + "loss": 1.861, + "step": 23560 + }, + { + "epoch": 12.23, + "learning_rate": 0.0007382496507047075, + "loss": 1.8838, + "step": 23570 + }, + { + "epoch": 12.24, + "learning_rate": 0.0007379841775045567, + "loss": 1.8722, + "step": 23580 + }, + { + "epoch": 12.24, + "learning_rate": 0.000737718617536951, + "loss": 1.7656, + "step": 23590 + }, + { + "epoch": 12.25, + "learning_rate": 0.0007374529708987119, + "loss": 1.9958, + "step": 23600 + }, + { + "epoch": 12.25, + "learning_rate": 0.0007371872376866924, + "loss": 1.7937, + "step": 23610 + }, + { + "epoch": 12.26, + "learning_rate": 0.0007369214179977771, + "loss": 1.9022, + "step": 23620 + }, + { + "epoch": 12.26, + "learning_rate": 0.000736655511928882, + "loss": 1.8255, + "step": 23630 + }, + { + "epoch": 12.27, + "learning_rate": 0.0007363895195769549, + "loss": 1.7848, + "step": 23640 + }, + { + "epoch": 12.27, + "learning_rate": 0.0007361234410389745, + "loss": 1.7972, + "step": 23650 + }, + { + "epoch": 12.28, + "learning_rate": 0.0007358572764119516, + "loss": 1.7616, + "step": 23660 + }, + { + "epoch": 12.28, + "learning_rate": 0.000735591025792928, + "loss": 1.7677, + "step": 23670 + }, + { + "epoch": 12.29, + "learning_rate": 0.0007353246892789768, + "loss": 1.8088, + "step": 23680 + }, + { + "epoch": 12.29, + "learning_rate": 0.0007350582669672025, + "loss": 1.8179, + "step": 23690 + }, + { + "epoch": 12.3, + "learning_rate": 0.000734791758954741, + "loss": 1.7793, + "step": 23700 + }, + { + "epoch": 12.3, + "learning_rate": 0.0007345251653387594, + "loss": 1.8058, + "step": 23710 + }, + { + "epoch": 12.31, + "learning_rate": 0.0007342584862164559, + "loss": 1.9176, + "step": 23720 + }, + { + "epoch": 12.31, + "learning_rate": 0.0007339917216850599, + "loss": 1.9782, + "step": 23730 + }, + { + "epoch": 12.32, + "learning_rate": 0.000733724871841832, + "loss": 1.8446, + "step": 23740 + }, + { + "epoch": 12.32, + "learning_rate": 0.000733457936784064, + "loss": 1.8099, + "step": 23750 + }, + { + "epoch": 12.33, + "learning_rate": 0.0007331909166090787, + "loss": 1.7463, + "step": 23760 + }, + { + "epoch": 12.34, + "learning_rate": 0.0007329238114142296, + "loss": 1.8202, + "step": 23770 + }, + { + "epoch": 12.34, + "learning_rate": 0.0007326566212969016, + "loss": 1.7897, + "step": 23780 + }, + { + "epoch": 12.35, + "learning_rate": 0.0007323893463545106, + "loss": 1.889, + "step": 23790 + }, + { + "epoch": 12.35, + "learning_rate": 0.0007321219866845031, + "loss": 1.6414, + "step": 23800 + }, + { + "epoch": 12.36, + "learning_rate": 0.0007318545423843568, + "loss": 1.8099, + "step": 23810 + }, + { + "epoch": 12.36, + "learning_rate": 0.00073158701355158, + "loss": 1.897, + "step": 23820 + }, + { + "epoch": 12.37, + "learning_rate": 0.000731319400283712, + "loss": 1.8179, + "step": 23830 + }, + { + "epoch": 12.37, + "learning_rate": 0.0007310517026783228, + "loss": 1.7562, + "step": 23840 + }, + { + "epoch": 12.38, + "learning_rate": 0.0007307839208330132, + "loss": 1.853, + "step": 23850 + }, + { + "epoch": 12.38, + "learning_rate": 0.0007305160548454147, + "loss": 1.7114, + "step": 23860 + }, + { + "epoch": 12.39, + "learning_rate": 0.0007302481048131893, + "loss": 1.6786, + "step": 23870 + }, + { + "epoch": 12.39, + "learning_rate": 0.0007299800708340301, + "loss": 1.5227, + "step": 23880 + }, + { + "epoch": 12.4, + "learning_rate": 0.0007297119530056602, + "loss": 1.8636, + "step": 23890 + }, + { + "epoch": 12.4, + "learning_rate": 0.0007294437514258341, + "loss": 1.7088, + "step": 23900 + }, + { + "epoch": 12.41, + "learning_rate": 0.0007291754661923358, + "loss": 1.7058, + "step": 23910 + }, + { + "epoch": 12.41, + "learning_rate": 0.0007289070974029803, + "loss": 1.8528, + "step": 23920 + }, + { + "epoch": 12.42, + "learning_rate": 0.0007286386451556134, + "loss": 1.6828, + "step": 23930 + }, + { + "epoch": 12.42, + "learning_rate": 0.0007283701095481109, + "loss": 1.8285, + "step": 23940 + }, + { + "epoch": 12.43, + "learning_rate": 0.0007281014906783792, + "loss": 1.7722, + "step": 23950 + }, + { + "epoch": 12.43, + "learning_rate": 0.0007278327886443546, + "loss": 1.8169, + "step": 23960 + }, + { + "epoch": 12.44, + "learning_rate": 0.0007275640035440044, + "loss": 1.8786, + "step": 23970 + }, + { + "epoch": 12.44, + "learning_rate": 0.0007272951354753258, + "loss": 1.8595, + "step": 23980 + }, + { + "epoch": 12.45, + "learning_rate": 0.0007270261845363464, + "loss": 1.8211, + "step": 23990 + }, + { + "epoch": 12.45, + "learning_rate": 0.0007267571508251237, + "loss": 1.7611, + "step": 24000 + }, + { + "epoch": 12.46, + "learning_rate": 0.0007264880344397458, + "loss": 1.8088, + "step": 24010 + }, + { + "epoch": 12.46, + "learning_rate": 0.0007262188354783308, + "loss": 1.8177, + "step": 24020 + }, + { + "epoch": 12.47, + "learning_rate": 0.0007259495540390268, + "loss": 1.7323, + "step": 24030 + }, + { + "epoch": 12.48, + "learning_rate": 0.0007256801902200119, + "loss": 1.7716, + "step": 24040 + }, + { + "epoch": 12.48, + "learning_rate": 0.0007254107441194943, + "loss": 1.7237, + "step": 24050 + }, + { + "epoch": 12.49, + "learning_rate": 0.0007251412158357126, + "loss": 1.6832, + "step": 24060 + }, + { + "epoch": 12.49, + "learning_rate": 0.0007248716054669347, + "loss": 1.709, + "step": 24070 + }, + { + "epoch": 12.5, + "learning_rate": 0.000724601913111459, + "loss": 1.58, + "step": 24080 + }, + { + "epoch": 12.5, + "learning_rate": 0.0007243321388676134, + "loss": 1.7091, + "step": 24090 + }, + { + "epoch": 12.51, + "learning_rate": 0.000724062282833756, + "loss": 1.7448, + "step": 24100 + }, + { + "epoch": 12.51, + "learning_rate": 0.0007237923451082742, + "loss": 1.6554, + "step": 24110 + }, + { + "epoch": 12.52, + "learning_rate": 0.0007235223257895857, + "loss": 1.7116, + "step": 24120 + }, + { + "epoch": 12.52, + "learning_rate": 0.0007232522249761378, + "loss": 1.7339, + "step": 24130 + }, + { + "epoch": 12.53, + "learning_rate": 0.0007229820427664074, + "loss": 1.6333, + "step": 24140 + }, + { + "epoch": 12.53, + "learning_rate": 0.0007227117792589011, + "loss": 1.7736, + "step": 24150 + }, + { + "epoch": 12.54, + "learning_rate": 0.0007224414345521553, + "loss": 1.666, + "step": 24160 + }, + { + "epoch": 12.54, + "learning_rate": 0.0007221710087447357, + "loss": 1.8743, + "step": 24170 + }, + { + "epoch": 12.55, + "learning_rate": 0.0007219005019352379, + "loss": 1.7471, + "step": 24180 + }, + { + "epoch": 12.55, + "learning_rate": 0.0007216299142222868, + "loss": 1.8774, + "step": 24190 + }, + { + "epoch": 12.56, + "learning_rate": 0.0007213592457045371, + "loss": 1.6998, + "step": 24200 + }, + { + "epoch": 12.56, + "learning_rate": 0.0007210884964806727, + "loss": 1.6385, + "step": 24210 + }, + { + "epoch": 12.57, + "learning_rate": 0.0007208176666494066, + "loss": 1.6912, + "step": 24220 + }, + { + "epoch": 12.57, + "learning_rate": 0.000720546756309482, + "loss": 1.5092, + "step": 24230 + }, + { + "epoch": 12.58, + "learning_rate": 0.0007202757655596708, + "loss": 1.6444, + "step": 24240 + }, + { + "epoch": 12.58, + "learning_rate": 0.0007200046944987746, + "loss": 1.7133, + "step": 24250 + }, + { + "epoch": 12.59, + "learning_rate": 0.000719733543225624, + "loss": 1.7087, + "step": 24260 + }, + { + "epoch": 12.59, + "learning_rate": 0.0007194623118390789, + "loss": 1.7841, + "step": 24270 + }, + { + "epoch": 12.6, + "learning_rate": 0.0007191910004380283, + "loss": 1.7016, + "step": 24280 + }, + { + "epoch": 12.61, + "learning_rate": 0.0007189196091213911, + "loss": 1.8609, + "step": 24290 + }, + { + "epoch": 12.61, + "learning_rate": 0.0007186481379881142, + "loss": 1.7609, + "step": 24300 + }, + { + "epoch": 12.62, + "learning_rate": 0.0007183765871371746, + "loss": 1.7378, + "step": 24310 + }, + { + "epoch": 12.62, + "learning_rate": 0.0007181049566675777, + "loss": 1.8348, + "step": 24320 + }, + { + "epoch": 12.63, + "learning_rate": 0.0007178332466783582, + "loss": 1.6605, + "step": 24330 + }, + { + "epoch": 12.63, + "learning_rate": 0.0007175614572685799, + "loss": 1.7238, + "step": 24340 + }, + { + "epoch": 12.64, + "learning_rate": 0.0007172895885373352, + "loss": 1.6721, + "step": 24350 + }, + { + "epoch": 12.64, + "learning_rate": 0.0007170176405837459, + "loss": 1.5811, + "step": 24360 + }, + { + "epoch": 12.65, + "learning_rate": 0.000716745613506962, + "loss": 1.5636, + "step": 24370 + }, + { + "epoch": 12.65, + "learning_rate": 0.0007164735074061632, + "loss": 1.5694, + "step": 24380 + }, + { + "epoch": 12.66, + "learning_rate": 0.0007162013223805574, + "loss": 1.6894, + "step": 24390 + }, + { + "epoch": 12.66, + "learning_rate": 0.0007159290585293817, + "loss": 1.5094, + "step": 24400 + }, + { + "epoch": 12.67, + "learning_rate": 0.0007156567159519012, + "loss": 1.7822, + "step": 24410 + }, + { + "epoch": 12.67, + "learning_rate": 0.0007153842947474105, + "loss": 1.5964, + "step": 24420 + }, + { + "epoch": 12.68, + "learning_rate": 0.0007151117950152327, + "loss": 1.63, + "step": 24430 + }, + { + "epoch": 12.68, + "learning_rate": 0.0007148392168547191, + "loss": 1.6766, + "step": 24440 + }, + { + "epoch": 12.69, + "learning_rate": 0.0007145665603652501, + "loss": 1.6444, + "step": 24450 + }, + { + "epoch": 12.69, + "learning_rate": 0.0007142938256462344, + "loss": 1.7126, + "step": 24460 + }, + { + "epoch": 12.7, + "learning_rate": 0.0007140210127971093, + "loss": 1.5439, + "step": 24470 + }, + { + "epoch": 12.7, + "learning_rate": 0.0007137481219173405, + "loss": 1.5264, + "step": 24480 + }, + { + "epoch": 12.71, + "learning_rate": 0.0007134751531064222, + "loss": 1.5395, + "step": 24490 + }, + { + "epoch": 12.71, + "learning_rate": 0.0007132021064638769, + "loss": 1.5994, + "step": 24500 + }, + { + "epoch": 12.72, + "learning_rate": 0.000712928982089256, + "loss": 1.5844, + "step": 24510 + }, + { + "epoch": 12.72, + "learning_rate": 0.0007126557800821385, + "loss": 1.6732, + "step": 24520 + }, + { + "epoch": 12.73, + "learning_rate": 0.0007123825005421321, + "loss": 1.7349, + "step": 24530 + }, + { + "epoch": 12.73, + "learning_rate": 0.0007121091435688726, + "loss": 1.5828, + "step": 24540 + }, + { + "epoch": 12.74, + "learning_rate": 0.0007118357092620245, + "loss": 1.4401, + "step": 24550 + }, + { + "epoch": 12.75, + "learning_rate": 0.0007115621977212797, + "loss": 1.6509, + "step": 24560 + }, + { + "epoch": 12.75, + "learning_rate": 0.0007112886090463589, + "loss": 1.7305, + "step": 24570 + }, + { + "epoch": 12.76, + "learning_rate": 0.000711014943337011, + "loss": 1.578, + "step": 24580 + }, + { + "epoch": 12.76, + "learning_rate": 0.0007107412006930121, + "loss": 1.456, + "step": 24590 + }, + { + "epoch": 12.77, + "learning_rate": 0.0007104673812141675, + "loss": 1.5958, + "step": 24600 + }, + { + "epoch": 12.77, + "learning_rate": 0.0007101934850003098, + "loss": 1.5158, + "step": 24610 + }, + { + "epoch": 12.78, + "learning_rate": 0.0007099195121512996, + "loss": 1.7054, + "step": 24620 + }, + { + "epoch": 12.78, + "learning_rate": 0.0007096454627670256, + "loss": 1.7499, + "step": 24630 + }, + { + "epoch": 12.79, + "learning_rate": 0.0007093713369474046, + "loss": 1.557, + "step": 24640 + }, + { + "epoch": 12.79, + "learning_rate": 0.0007090971347923809, + "loss": 1.5698, + "step": 24650 + }, + { + "epoch": 12.8, + "learning_rate": 0.0007088228564019268, + "loss": 1.6833, + "step": 24660 + }, + { + "epoch": 12.8, + "learning_rate": 0.0007085485018760424, + "loss": 1.5941, + "step": 24670 + }, + { + "epoch": 12.81, + "learning_rate": 0.0007082740713147555, + "loss": 1.6177, + "step": 24680 + }, + { + "epoch": 12.81, + "learning_rate": 0.0007079995648181219, + "loss": 1.4892, + "step": 24690 + }, + { + "epoch": 12.82, + "learning_rate": 0.0007077249824862245, + "loss": 1.696, + "step": 24700 + }, + { + "epoch": 12.82, + "learning_rate": 0.0007074503244191745, + "loss": 1.791, + "step": 24710 + }, + { + "epoch": 12.83, + "learning_rate": 0.0007071755907171101, + "loss": 1.6303, + "step": 24720 + }, + { + "epoch": 12.83, + "learning_rate": 0.0007069007814801977, + "loss": 1.488, + "step": 24730 + }, + { + "epoch": 12.84, + "learning_rate": 0.0007066258968086307, + "loss": 1.6009, + "step": 24740 + }, + { + "epoch": 12.84, + "learning_rate": 0.0007063509368026305, + "loss": 1.677, + "step": 24750 + }, + { + "epoch": 12.85, + "learning_rate": 0.0007060759015624454, + "loss": 1.7456, + "step": 24760 + }, + { + "epoch": 12.85, + "learning_rate": 0.0007058007911883515, + "loss": 1.623, + "step": 24770 + }, + { + "epoch": 12.86, + "learning_rate": 0.0007055256057806522, + "loss": 1.6232, + "step": 24780 + }, + { + "epoch": 12.86, + "learning_rate": 0.0007052503454396786, + "loss": 1.7356, + "step": 24790 + }, + { + "epoch": 12.87, + "learning_rate": 0.0007049750102657884, + "loss": 1.5552, + "step": 24800 + }, + { + "epoch": 12.87, + "learning_rate": 0.0007046996003593671, + "loss": 1.5545, + "step": 24810 + }, + { + "epoch": 12.88, + "learning_rate": 0.0007044241158208275, + "loss": 1.5866, + "step": 24820 + }, + { + "epoch": 12.89, + "learning_rate": 0.0007041485567506091, + "loss": 1.6402, + "step": 24830 + }, + { + "epoch": 12.89, + "learning_rate": 0.0007038729232491792, + "loss": 1.616, + "step": 24840 + }, + { + "epoch": 12.9, + "learning_rate": 0.0007035972154170318, + "loss": 1.5711, + "step": 24850 + }, + { + "epoch": 12.9, + "learning_rate": 0.0007033214333546882, + "loss": 1.4633, + "step": 24860 + }, + { + "epoch": 12.91, + "learning_rate": 0.0007030455771626967, + "loss": 1.6538, + "step": 24870 + }, + { + "epoch": 12.91, + "learning_rate": 0.0007027696469416328, + "loss": 1.5591, + "step": 24880 + }, + { + "epoch": 12.92, + "learning_rate": 0.0007024936427920985, + "loss": 1.7478, + "step": 24890 + }, + { + "epoch": 12.92, + "learning_rate": 0.0007022175648147233, + "loss": 1.6796, + "step": 24900 + }, + { + "epoch": 12.93, + "learning_rate": 0.0007019414131101634, + "loss": 1.5789, + "step": 24910 + }, + { + "epoch": 12.93, + "learning_rate": 0.0007016651877791018, + "loss": 1.6087, + "step": 24920 + }, + { + "epoch": 12.94, + "learning_rate": 0.0007013888889222486, + "loss": 1.4751, + "step": 24930 + }, + { + "epoch": 12.94, + "learning_rate": 0.0007011125166403403, + "loss": 1.7013, + "step": 24940 + }, + { + "epoch": 12.95, + "learning_rate": 0.0007008360710341406, + "loss": 1.6228, + "step": 24950 + }, + { + "epoch": 12.95, + "learning_rate": 0.0007005595522044395, + "loss": 1.7012, + "step": 24960 + }, + { + "epoch": 12.96, + "learning_rate": 0.0007002829602520544, + "loss": 1.5933, + "step": 24970 + }, + { + "epoch": 12.96, + "learning_rate": 0.0007000062952778283, + "loss": 1.7153, + "step": 24980 + }, + { + "epoch": 12.97, + "learning_rate": 0.0006997295573826318, + "loss": 1.5683, + "step": 24990 + }, + { + "epoch": 12.97, + "learning_rate": 0.0006994527466673614, + "loss": 1.6265, + "step": 25000 + }, + { + "epoch": 12.98, + "learning_rate": 0.000699175863232941, + "loss": 1.5592, + "step": 25010 + }, + { + "epoch": 12.98, + "learning_rate": 0.00069889890718032, + "loss": 1.5341, + "step": 25020 + }, + { + "epoch": 12.99, + "learning_rate": 0.0006986218786104747, + "loss": 1.6973, + "step": 25030 + }, + { + "epoch": 12.99, + "learning_rate": 0.0006983447776244082, + "loss": 1.678, + "step": 25040 + }, + { + "epoch": 13.0, + "learning_rate": 0.0006980676043231495, + "loss": 1.6734, + "step": 25050 + }, + { + "epoch": 13.0, + "eval_accuracy": { + "accuracy": 0.26718547341115434 + }, + "eval_f1": { + "f1": 0.23757487469054722 + }, + "eval_loss": 1.8294413089752197, + "eval_precision": { + "precision": 0.2619241634609933 + }, + "eval_recall": { + "recall": 0.28087243077801927 + }, + "eval_runtime": 175.7605, + "eval_samples_per_second": 21.933, + "eval_steps_per_second": 10.969, + "step": 25051 + }, + { + "epoch": 13.0, + "learning_rate": 0.0006977903588077542, + "loss": 1.6655, + "step": 25060 + }, + { + "epoch": 13.01, + "learning_rate": 0.0006975130411793041, + "loss": 1.3927, + "step": 25070 + }, + { + "epoch": 13.02, + "learning_rate": 0.0006972356515389074, + "loss": 1.626, + "step": 25080 + }, + { + "epoch": 13.02, + "learning_rate": 0.0006969581899876986, + "loss": 1.4858, + "step": 25090 + }, + { + "epoch": 13.03, + "learning_rate": 0.0006966806566268383, + "loss": 1.6478, + "step": 25100 + }, + { + "epoch": 13.03, + "learning_rate": 0.0006964030515575133, + "loss": 1.6557, + "step": 25110 + }, + { + "epoch": 13.04, + "learning_rate": 0.0006961253748809366, + "loss": 1.6834, + "step": 25120 + }, + { + "epoch": 13.04, + "learning_rate": 0.0006958476266983473, + "loss": 1.5785, + "step": 25130 + }, + { + "epoch": 13.05, + "learning_rate": 0.0006955698071110105, + "loss": 1.7666, + "step": 25140 + }, + { + "epoch": 13.05, + "learning_rate": 0.0006952919162202173, + "loss": 1.764, + "step": 25150 + }, + { + "epoch": 13.06, + "learning_rate": 0.0006950139541272851, + "loss": 1.7854, + "step": 25160 + }, + { + "epoch": 13.06, + "learning_rate": 0.0006947359209335569, + "loss": 1.5456, + "step": 25170 + }, + { + "epoch": 13.07, + "learning_rate": 0.0006944578167404017, + "loss": 1.6029, + "step": 25180 + }, + { + "epoch": 13.07, + "learning_rate": 0.0006941796416492146, + "loss": 1.5788, + "step": 25190 + }, + { + "epoch": 13.08, + "learning_rate": 0.0006939013957614163, + "loss": 1.4314, + "step": 25200 + }, + { + "epoch": 13.08, + "learning_rate": 0.0006936230791784535, + "loss": 1.5209, + "step": 25210 + }, + { + "epoch": 13.09, + "learning_rate": 0.0006933446920017982, + "loss": 1.5574, + "step": 25220 + }, + { + "epoch": 13.09, + "learning_rate": 0.0006930662343329492, + "loss": 1.8195, + "step": 25230 + }, + { + "epoch": 13.1, + "learning_rate": 0.0006927877062734298, + "loss": 1.6716, + "step": 25240 + }, + { + "epoch": 13.1, + "learning_rate": 0.0006925091079247896, + "loss": 1.7492, + "step": 25250 + }, + { + "epoch": 13.11, + "learning_rate": 0.0006922304393886038, + "loss": 1.7066, + "step": 25260 + }, + { + "epoch": 13.11, + "learning_rate": 0.000691951700766473, + "loss": 1.5651, + "step": 25270 + }, + { + "epoch": 13.12, + "learning_rate": 0.0006916728921600235, + "loss": 1.5665, + "step": 25280 + }, + { + "epoch": 13.12, + "learning_rate": 0.0006913940136709072, + "loss": 1.6429, + "step": 25290 + }, + { + "epoch": 13.13, + "learning_rate": 0.000691115065400801, + "loss": 1.5361, + "step": 25300 + }, + { + "epoch": 13.13, + "learning_rate": 0.0006908360474514079, + "loss": 1.4306, + "step": 25310 + }, + { + "epoch": 13.14, + "learning_rate": 0.0006905569599244562, + "loss": 1.616, + "step": 25320 + }, + { + "epoch": 13.14, + "learning_rate": 0.0006902778029216987, + "loss": 1.5992, + "step": 25330 + }, + { + "epoch": 13.15, + "learning_rate": 0.0006899985765449148, + "loss": 1.4444, + "step": 25340 + }, + { + "epoch": 13.16, + "learning_rate": 0.0006897192808959082, + "loss": 1.4674, + "step": 25350 + }, + { + "epoch": 13.16, + "learning_rate": 0.0006894399160765085, + "loss": 1.5238, + "step": 25360 + }, + { + "epoch": 13.17, + "learning_rate": 0.0006891604821885702, + "loss": 1.5557, + "step": 25370 + }, + { + "epoch": 13.17, + "learning_rate": 0.0006888809793339729, + "loss": 1.6263, + "step": 25380 + }, + { + "epoch": 13.18, + "learning_rate": 0.0006886014076146217, + "loss": 1.4557, + "step": 25390 + }, + { + "epoch": 13.18, + "learning_rate": 0.0006883217671324463, + "loss": 1.4924, + "step": 25400 + }, + { + "epoch": 13.19, + "learning_rate": 0.0006880420579894023, + "loss": 1.6154, + "step": 25410 + }, + { + "epoch": 13.19, + "learning_rate": 0.0006877622802874692, + "loss": 1.625, + "step": 25420 + }, + { + "epoch": 13.2, + "learning_rate": 0.0006874824341286525, + "loss": 1.712, + "step": 25430 + }, + { + "epoch": 13.2, + "learning_rate": 0.000687202519614982, + "loss": 1.7743, + "step": 25440 + }, + { + "epoch": 13.21, + "learning_rate": 0.0006869225368485129, + "loss": 1.5561, + "step": 25450 + }, + { + "epoch": 13.21, + "learning_rate": 0.0006866424859313249, + "loss": 1.6229, + "step": 25460 + }, + { + "epoch": 13.22, + "learning_rate": 0.0006863623669655229, + "loss": 1.5099, + "step": 25470 + }, + { + "epoch": 13.22, + "learning_rate": 0.0006860821800532361, + "loss": 1.6965, + "step": 25480 + }, + { + "epoch": 13.23, + "learning_rate": 0.0006858019252966192, + "loss": 1.6217, + "step": 25490 + }, + { + "epoch": 13.23, + "learning_rate": 0.0006855216027978508, + "loss": 1.4581, + "step": 25500 + }, + { + "epoch": 13.24, + "learning_rate": 0.0006852412126591347, + "loss": 1.6703, + "step": 25510 + }, + { + "epoch": 13.24, + "learning_rate": 0.0006849607549826997, + "loss": 1.5106, + "step": 25520 + }, + { + "epoch": 13.25, + "learning_rate": 0.0006846802298707985, + "loss": 1.4249, + "step": 25530 + }, + { + "epoch": 13.25, + "learning_rate": 0.0006843996374257088, + "loss": 1.6436, + "step": 25540 + }, + { + "epoch": 13.26, + "learning_rate": 0.0006841189777497326, + "loss": 1.689, + "step": 25550 + }, + { + "epoch": 13.26, + "learning_rate": 0.0006838382509451966, + "loss": 1.5731, + "step": 25560 + }, + { + "epoch": 13.27, + "learning_rate": 0.0006835574571144519, + "loss": 1.4337, + "step": 25570 + }, + { + "epoch": 13.27, + "learning_rate": 0.0006832765963598742, + "loss": 1.7067, + "step": 25580 + }, + { + "epoch": 13.28, + "learning_rate": 0.0006829956687838634, + "loss": 1.4985, + "step": 25590 + }, + { + "epoch": 13.28, + "learning_rate": 0.000682714674488844, + "loss": 1.4956, + "step": 25600 + }, + { + "epoch": 13.29, + "learning_rate": 0.0006824336135772643, + "loss": 1.5027, + "step": 25610 + }, + { + "epoch": 13.3, + "learning_rate": 0.0006821524861515975, + "loss": 1.6026, + "step": 25620 + }, + { + "epoch": 13.3, + "learning_rate": 0.0006818712923143408, + "loss": 1.5826, + "step": 25630 + }, + { + "epoch": 13.31, + "learning_rate": 0.0006815900321680155, + "loss": 1.665, + "step": 25640 + }, + { + "epoch": 13.31, + "learning_rate": 0.0006813087058151673, + "loss": 1.5066, + "step": 25650 + }, + { + "epoch": 13.32, + "learning_rate": 0.0006810273133583658, + "loss": 1.4476, + "step": 25660 + }, + { + "epoch": 13.32, + "learning_rate": 0.0006807458549002051, + "loss": 1.538, + "step": 25670 + }, + { + "epoch": 13.33, + "learning_rate": 0.0006804643305433027, + "loss": 1.558, + "step": 25680 + }, + { + "epoch": 13.33, + "learning_rate": 0.0006801827403903007, + "loss": 1.4717, + "step": 25690 + }, + { + "epoch": 13.34, + "learning_rate": 0.000679901084543865, + "loss": 1.5761, + "step": 25700 + }, + { + "epoch": 13.34, + "learning_rate": 0.0006796193631066855, + "loss": 1.5223, + "step": 25710 + }, + { + "epoch": 13.35, + "learning_rate": 0.0006793375761814759, + "loss": 1.6114, + "step": 25720 + }, + { + "epoch": 13.35, + "learning_rate": 0.0006790557238709739, + "loss": 1.6759, + "step": 25730 + }, + { + "epoch": 13.36, + "learning_rate": 0.000678773806277941, + "loss": 1.5074, + "step": 25740 + }, + { + "epoch": 13.36, + "learning_rate": 0.0006784918235051623, + "loss": 1.5035, + "step": 25750 + }, + { + "epoch": 13.37, + "learning_rate": 0.0006782097756554472, + "loss": 1.4393, + "step": 25760 + }, + { + "epoch": 13.37, + "learning_rate": 0.0006779276628316283, + "loss": 1.5455, + "step": 25770 + }, + { + "epoch": 13.38, + "learning_rate": 0.0006776454851365619, + "loss": 1.5785, + "step": 25780 + }, + { + "epoch": 13.38, + "learning_rate": 0.0006773632426731283, + "loss": 1.5204, + "step": 25790 + }, + { + "epoch": 13.39, + "learning_rate": 0.0006770809355442313, + "loss": 1.5305, + "step": 25800 + }, + { + "epoch": 13.39, + "learning_rate": 0.000676798563852798, + "loss": 1.6237, + "step": 25810 + }, + { + "epoch": 13.4, + "learning_rate": 0.0006765161277017795, + "loss": 1.6322, + "step": 25820 + }, + { + "epoch": 13.4, + "learning_rate": 0.0006762336271941498, + "loss": 1.5912, + "step": 25830 + }, + { + "epoch": 13.41, + "learning_rate": 0.0006759510624329071, + "loss": 1.5876, + "step": 25840 + }, + { + "epoch": 13.41, + "learning_rate": 0.0006756684335210724, + "loss": 1.835, + "step": 25850 + }, + { + "epoch": 13.42, + "learning_rate": 0.0006753857405616903, + "loss": 1.4525, + "step": 25860 + }, + { + "epoch": 13.43, + "learning_rate": 0.0006751029836578289, + "loss": 1.543, + "step": 25870 + }, + { + "epoch": 13.43, + "learning_rate": 0.0006748201629125794, + "loss": 1.4412, + "step": 25880 + }, + { + "epoch": 13.44, + "learning_rate": 0.0006745372784290566, + "loss": 1.4816, + "step": 25890 + }, + { + "epoch": 13.44, + "learning_rate": 0.0006742543303103982, + "loss": 1.5681, + "step": 25900 + }, + { + "epoch": 13.45, + "learning_rate": 0.000673971318659765, + "loss": 1.5032, + "step": 25910 + }, + { + "epoch": 13.45, + "learning_rate": 0.0006736882435803413, + "loss": 1.5515, + "step": 25920 + }, + { + "epoch": 13.46, + "learning_rate": 0.0006734051051753344, + "loss": 1.6889, + "step": 25930 + }, + { + "epoch": 13.46, + "learning_rate": 0.0006731219035479749, + "loss": 1.4887, + "step": 25940 + }, + { + "epoch": 13.47, + "learning_rate": 0.0006728386388015161, + "loss": 1.4695, + "step": 25950 + }, + { + "epoch": 13.47, + "learning_rate": 0.0006725553110392342, + "loss": 1.4356, + "step": 25960 + }, + { + "epoch": 13.48, + "learning_rate": 0.0006722719203644289, + "loss": 1.5508, + "step": 25970 + }, + { + "epoch": 13.48, + "learning_rate": 0.0006719884668804223, + "loss": 1.5133, + "step": 25980 + }, + { + "epoch": 13.49, + "learning_rate": 0.0006717049506905601, + "loss": 1.6392, + "step": 25990 + }, + { + "epoch": 13.49, + "learning_rate": 0.0006714213718982101, + "loss": 1.6192, + "step": 26000 + }, + { + "epoch": 13.5, + "learning_rate": 0.0006711377306067633, + "loss": 1.4534, + "step": 26010 + }, + { + "epoch": 13.5, + "learning_rate": 0.0006708540269196335, + "loss": 1.5005, + "step": 26020 + }, + { + "epoch": 13.51, + "learning_rate": 0.0006705702609402571, + "loss": 1.4409, + "step": 26030 + }, + { + "epoch": 13.51, + "learning_rate": 0.0006702864327720934, + "loss": 1.5415, + "step": 26040 + }, + { + "epoch": 13.52, + "learning_rate": 0.0006700025425186243, + "loss": 1.344, + "step": 26050 + }, + { + "epoch": 13.52, + "learning_rate": 0.000669718590283354, + "loss": 1.4412, + "step": 26060 + }, + { + "epoch": 13.53, + "learning_rate": 0.00066943457616981, + "loss": 1.6003, + "step": 26070 + }, + { + "epoch": 13.53, + "learning_rate": 0.0006691505002815416, + "loss": 1.561, + "step": 26080 + }, + { + "epoch": 13.54, + "learning_rate": 0.0006688663627221214, + "loss": 1.5576, + "step": 26090 + }, + { + "epoch": 13.54, + "learning_rate": 0.0006685821635951436, + "loss": 1.5502, + "step": 26100 + }, + { + "epoch": 13.55, + "learning_rate": 0.0006682979030042259, + "loss": 1.4275, + "step": 26110 + }, + { + "epoch": 13.55, + "learning_rate": 0.0006680135810530073, + "loss": 1.513, + "step": 26120 + }, + { + "epoch": 13.56, + "learning_rate": 0.0006677291978451499, + "loss": 1.5188, + "step": 26130 + }, + { + "epoch": 13.57, + "learning_rate": 0.000667444753484338, + "loss": 1.4293, + "step": 26140 + }, + { + "epoch": 13.57, + "learning_rate": 0.000667160248074278, + "loss": 1.595, + "step": 26150 + }, + { + "epoch": 13.58, + "learning_rate": 0.0006668756817186987, + "loss": 1.5701, + "step": 26160 + }, + { + "epoch": 13.58, + "learning_rate": 0.0006665910545213514, + "loss": 1.5886, + "step": 26170 + }, + { + "epoch": 13.59, + "learning_rate": 0.0006663063665860087, + "loss": 1.5982, + "step": 26180 + }, + { + "epoch": 13.59, + "learning_rate": 0.0006660216180164665, + "loss": 1.5353, + "step": 26190 + }, + { + "epoch": 13.6, + "learning_rate": 0.0006657368089165418, + "loss": 1.3894, + "step": 26200 + }, + { + "epoch": 13.6, + "learning_rate": 0.0006654519393900747, + "loss": 1.464, + "step": 26210 + }, + { + "epoch": 13.61, + "learning_rate": 0.0006651670095409262, + "loss": 1.7545, + "step": 26220 + }, + { + "epoch": 13.61, + "learning_rate": 0.00066488201947298, + "loss": 1.5658, + "step": 26230 + }, + { + "epoch": 13.62, + "learning_rate": 0.0006645969692901416, + "loss": 1.5761, + "step": 26240 + }, + { + "epoch": 13.62, + "learning_rate": 0.0006643118590963385, + "loss": 1.6905, + "step": 26250 + }, + { + "epoch": 13.63, + "learning_rate": 0.0006640266889955199, + "loss": 1.4606, + "step": 26260 + }, + { + "epoch": 13.63, + "learning_rate": 0.0006637414590916568, + "loss": 1.6384, + "step": 26270 + }, + { + "epoch": 13.64, + "learning_rate": 0.0006634561694887424, + "loss": 1.6132, + "step": 26280 + }, + { + "epoch": 13.64, + "learning_rate": 0.0006631708202907912, + "loss": 1.5332, + "step": 26290 + }, + { + "epoch": 13.65, + "learning_rate": 0.0006628854116018395, + "loss": 1.5514, + "step": 26300 + }, + { + "epoch": 13.65, + "learning_rate": 0.000662599943525946, + "loss": 1.629, + "step": 26310 + }, + { + "epoch": 13.66, + "learning_rate": 0.0006623144161671899, + "loss": 1.6445, + "step": 26320 + }, + { + "epoch": 13.66, + "learning_rate": 0.0006620288296296727, + "loss": 1.6751, + "step": 26330 + }, + { + "epoch": 13.67, + "learning_rate": 0.0006617431840175174, + "loss": 1.494, + "step": 26340 + }, + { + "epoch": 13.67, + "learning_rate": 0.0006614574794348687, + "loss": 1.4694, + "step": 26350 + }, + { + "epoch": 13.68, + "learning_rate": 0.0006611717159858923, + "loss": 1.4601, + "step": 26360 + }, + { + "epoch": 13.68, + "learning_rate": 0.0006608858937747758, + "loss": 1.3469, + "step": 26370 + }, + { + "epoch": 13.69, + "learning_rate": 0.000660600012905728, + "loss": 1.4919, + "step": 26380 + }, + { + "epoch": 13.69, + "learning_rate": 0.0006603140734829795, + "loss": 1.5227, + "step": 26390 + }, + { + "epoch": 13.7, + "learning_rate": 0.0006600280756107815, + "loss": 1.6549, + "step": 26400 + }, + { + "epoch": 13.71, + "learning_rate": 0.0006597420193934071, + "loss": 1.5458, + "step": 26410 + }, + { + "epoch": 13.71, + "learning_rate": 0.0006594559049351502, + "loss": 1.4529, + "step": 26420 + }, + { + "epoch": 13.72, + "learning_rate": 0.000659169732340327, + "loss": 1.5235, + "step": 26430 + }, + { + "epoch": 13.72, + "learning_rate": 0.0006588835017132734, + "loss": 1.3514, + "step": 26440 + }, + { + "epoch": 13.73, + "learning_rate": 0.0006585972131583476, + "loss": 1.5487, + "step": 26450 + }, + { + "epoch": 13.73, + "learning_rate": 0.0006583108667799283, + "loss": 1.5512, + "step": 26460 + }, + { + "epoch": 13.74, + "learning_rate": 0.0006580244626824154, + "loss": 1.6131, + "step": 26470 + }, + { + "epoch": 13.74, + "learning_rate": 0.0006577380009702302, + "loss": 1.5824, + "step": 26480 + }, + { + "epoch": 13.75, + "learning_rate": 0.0006574514817478147, + "loss": 1.6387, + "step": 26490 + }, + { + "epoch": 13.75, + "learning_rate": 0.0006571649051196318, + "loss": 1.4222, + "step": 26500 + }, + { + "epoch": 13.76, + "learning_rate": 0.0006568782711901654, + "loss": 1.5664, + "step": 26510 + }, + { + "epoch": 13.76, + "learning_rate": 0.0006565915800639206, + "loss": 1.435, + "step": 26520 + }, + { + "epoch": 13.77, + "learning_rate": 0.0006563048318454228, + "loss": 1.5311, + "step": 26530 + }, + { + "epoch": 13.77, + "learning_rate": 0.0006560180266392186, + "loss": 1.4908, + "step": 26540 + }, + { + "epoch": 13.78, + "learning_rate": 0.0006557311645498751, + "loss": 1.5186, + "step": 26550 + }, + { + "epoch": 13.78, + "learning_rate": 0.0006554442456819808, + "loss": 1.5297, + "step": 26560 + }, + { + "epoch": 13.79, + "learning_rate": 0.000655157270140144, + "loss": 1.5198, + "step": 26570 + }, + { + "epoch": 13.79, + "learning_rate": 0.0006548702380289942, + "loss": 1.4845, + "step": 26580 + }, + { + "epoch": 13.8, + "learning_rate": 0.0006545831494531814, + "loss": 1.575, + "step": 26590 + }, + { + "epoch": 13.8, + "learning_rate": 0.0006542960045173761, + "loss": 1.5071, + "step": 26600 + }, + { + "epoch": 13.81, + "learning_rate": 0.0006540088033262698, + "loss": 1.3746, + "step": 26610 + }, + { + "epoch": 13.81, + "learning_rate": 0.0006537215459845738, + "loss": 1.4694, + "step": 26620 + }, + { + "epoch": 13.82, + "learning_rate": 0.0006534342325970201, + "loss": 1.385, + "step": 26630 + }, + { + "epoch": 13.82, + "learning_rate": 0.0006531468632683617, + "loss": 1.3878, + "step": 26640 + }, + { + "epoch": 13.83, + "learning_rate": 0.0006528594381033714, + "loss": 1.4581, + "step": 26650 + }, + { + "epoch": 13.83, + "learning_rate": 0.0006525719572068422, + "loss": 1.4837, + "step": 26660 + }, + { + "epoch": 13.84, + "learning_rate": 0.000652284420683588, + "loss": 1.603, + "step": 26670 + }, + { + "epoch": 13.85, + "learning_rate": 0.0006519968286384429, + "loss": 1.5532, + "step": 26680 + }, + { + "epoch": 13.85, + "learning_rate": 0.0006517091811762607, + "loss": 1.2887, + "step": 26690 + }, + { + "epoch": 13.86, + "learning_rate": 0.000651421478401916, + "loss": 1.5437, + "step": 26700 + }, + { + "epoch": 13.86, + "learning_rate": 0.0006511337204203032, + "loss": 1.5092, + "step": 26710 + }, + { + "epoch": 13.87, + "learning_rate": 0.0006508459073363369, + "loss": 1.5945, + "step": 26720 + }, + { + "epoch": 13.87, + "learning_rate": 0.0006505580392549518, + "loss": 1.5614, + "step": 26730 + }, + { + "epoch": 13.88, + "learning_rate": 0.000650270116281103, + "loss": 1.3385, + "step": 26740 + }, + { + "epoch": 13.88, + "learning_rate": 0.0006499821385197652, + "loss": 1.5485, + "step": 26750 + }, + { + "epoch": 13.89, + "learning_rate": 0.0006496941060759329, + "loss": 1.6625, + "step": 26760 + }, + { + "epoch": 13.89, + "learning_rate": 0.0006494060190546211, + "loss": 1.5114, + "step": 26770 + }, + { + "epoch": 13.9, + "learning_rate": 0.0006491178775608645, + "loss": 1.4848, + "step": 26780 + }, + { + "epoch": 13.9, + "learning_rate": 0.0006488296816997174, + "loss": 1.5127, + "step": 26790 + }, + { + "epoch": 13.91, + "learning_rate": 0.0006485414315762539, + "loss": 1.5657, + "step": 26800 + }, + { + "epoch": 13.91, + "learning_rate": 0.0006482531272955685, + "loss": 1.6433, + "step": 26810 + }, + { + "epoch": 13.92, + "learning_rate": 0.0006479647689627748, + "loss": 1.5471, + "step": 26820 + }, + { + "epoch": 13.92, + "learning_rate": 0.0006476763566830064, + "loss": 1.3888, + "step": 26830 + }, + { + "epoch": 13.93, + "learning_rate": 0.0006473878905614165, + "loss": 1.5099, + "step": 26840 + }, + { + "epoch": 13.93, + "learning_rate": 0.0006470993707031782, + "loss": 1.5364, + "step": 26850 + }, + { + "epoch": 13.94, + "learning_rate": 0.0006468107972134832, + "loss": 1.5134, + "step": 26860 + }, + { + "epoch": 13.94, + "learning_rate": 0.0006465221701975443, + "loss": 1.5307, + "step": 26870 + }, + { + "epoch": 13.95, + "learning_rate": 0.0006462334897605925, + "loss": 1.417, + "step": 26880 + }, + { + "epoch": 13.95, + "learning_rate": 0.000645944756007879, + "loss": 1.5311, + "step": 26890 + }, + { + "epoch": 13.96, + "learning_rate": 0.0006456559690446739, + "loss": 1.4572, + "step": 26900 + }, + { + "epoch": 13.96, + "learning_rate": 0.0006453671289762675, + "loss": 1.5692, + "step": 26910 + }, + { + "epoch": 13.97, + "learning_rate": 0.0006450782359079685, + "loss": 1.5839, + "step": 26920 + }, + { + "epoch": 13.98, + "learning_rate": 0.0006447892899451059, + "loss": 1.4544, + "step": 26930 + }, + { + "epoch": 13.98, + "learning_rate": 0.0006445002911930272, + "loss": 1.2894, + "step": 26940 + }, + { + "epoch": 13.99, + "learning_rate": 0.0006442112397570992, + "loss": 1.4388, + "step": 26950 + }, + { + "epoch": 13.99, + "learning_rate": 0.0006439221357427085, + "loss": 1.534, + "step": 26960 + }, + { + "epoch": 14.0, + "learning_rate": 0.0006436329792552604, + "loss": 1.4376, + "step": 26970 + }, + { + "epoch": 14.0, + "eval_accuracy": { + "accuracy": 0.4254215304798962 + }, + "eval_f1": { + "f1": 0.41718777684401953 + }, + "eval_loss": 1.3829901218414307, + "eval_precision": { + "precision": 0.4554477836203232 + }, + "eval_recall": { + "recall": 0.450319904911865 + }, + "eval_runtime": 192.2983, + "eval_samples_per_second": 20.047, + "eval_steps_per_second": 10.026, + "step": 26978 + }, + { + "epoch": 14.0, + "learning_rate": 0.0006433437704001794, + "loss": 1.4387, + "step": 26980 + }, + { + "epoch": 14.01, + "learning_rate": 0.0006430545092829091, + "loss": 1.3655, + "step": 26990 + }, + { + "epoch": 14.01, + "learning_rate": 0.0006427651960089123, + "loss": 1.5138, + "step": 27000 + }, + { + "epoch": 14.02, + "learning_rate": 0.0006424758306836707, + "loss": 1.2805, + "step": 27010 + }, + { + "epoch": 14.02, + "learning_rate": 0.0006421864134126848, + "loss": 1.6224, + "step": 27020 + }, + { + "epoch": 14.03, + "learning_rate": 0.0006418969443014745, + "loss": 1.5197, + "step": 27030 + }, + { + "epoch": 14.03, + "learning_rate": 0.000641607423455578, + "loss": 1.5643, + "step": 27040 + }, + { + "epoch": 14.04, + "learning_rate": 0.000641317850980553, + "loss": 1.5071, + "step": 27050 + }, + { + "epoch": 14.04, + "learning_rate": 0.0006410282269819756, + "loss": 1.5523, + "step": 27060 + }, + { + "epoch": 14.05, + "learning_rate": 0.0006407385515654407, + "loss": 1.5096, + "step": 27070 + }, + { + "epoch": 14.05, + "learning_rate": 0.000640448824836562, + "loss": 1.6588, + "step": 27080 + }, + { + "epoch": 14.06, + "learning_rate": 0.0006401590469009721, + "loss": 1.6652, + "step": 27090 + }, + { + "epoch": 14.06, + "learning_rate": 0.0006398692178643221, + "loss": 1.4023, + "step": 27100 + }, + { + "epoch": 14.07, + "learning_rate": 0.0006395793378322817, + "loss": 1.4075, + "step": 27110 + }, + { + "epoch": 14.07, + "learning_rate": 0.0006392894069105391, + "loss": 1.7573, + "step": 27120 + }, + { + "epoch": 14.08, + "learning_rate": 0.0006389994252048015, + "loss": 1.4026, + "step": 27130 + }, + { + "epoch": 14.08, + "learning_rate": 0.000638709392820794, + "loss": 1.4055, + "step": 27140 + }, + { + "epoch": 14.09, + "learning_rate": 0.0006384193098642608, + "loss": 1.5018, + "step": 27150 + }, + { + "epoch": 14.09, + "learning_rate": 0.0006381291764409639, + "loss": 1.534, + "step": 27160 + }, + { + "epoch": 14.1, + "learning_rate": 0.0006378389926566841, + "loss": 1.5202, + "step": 27170 + }, + { + "epoch": 14.1, + "learning_rate": 0.0006375487586172208, + "loss": 1.4313, + "step": 27180 + }, + { + "epoch": 14.11, + "learning_rate": 0.0006372584744283911, + "loss": 1.6616, + "step": 27190 + }, + { + "epoch": 14.12, + "learning_rate": 0.0006369681401960308, + "loss": 1.357, + "step": 27200 + }, + { + "epoch": 14.12, + "learning_rate": 0.0006366777560259936, + "loss": 1.801, + "step": 27210 + }, + { + "epoch": 14.13, + "learning_rate": 0.0006363873220241521, + "loss": 1.5208, + "step": 27220 + }, + { + "epoch": 14.13, + "learning_rate": 0.0006360968382963961, + "loss": 1.6261, + "step": 27230 + }, + { + "epoch": 14.14, + "learning_rate": 0.0006358063049486345, + "loss": 1.4024, + "step": 27240 + }, + { + "epoch": 14.14, + "learning_rate": 0.0006355157220867936, + "loss": 1.2805, + "step": 27250 + }, + { + "epoch": 14.15, + "learning_rate": 0.000635225089816818, + "loss": 1.5817, + "step": 27260 + }, + { + "epoch": 14.15, + "learning_rate": 0.0006349344082446702, + "loss": 1.4958, + "step": 27270 + }, + { + "epoch": 14.16, + "learning_rate": 0.0006346436774763312, + "loss": 1.5176, + "step": 27280 + }, + { + "epoch": 14.16, + "learning_rate": 0.000634352897617799, + "loss": 1.4122, + "step": 27290 + }, + { + "epoch": 14.17, + "learning_rate": 0.0006340620687750902, + "loss": 1.3902, + "step": 27300 + }, + { + "epoch": 14.17, + "learning_rate": 0.0006337711910542391, + "loss": 1.4241, + "step": 27310 + }, + { + "epoch": 14.18, + "learning_rate": 0.0006334802645612978, + "loss": 1.5132, + "step": 27320 + }, + { + "epoch": 14.18, + "learning_rate": 0.0006331892894023364, + "loss": 1.4824, + "step": 27330 + }, + { + "epoch": 14.19, + "learning_rate": 0.000632898265683442, + "loss": 1.5123, + "step": 27340 + }, + { + "epoch": 14.19, + "learning_rate": 0.0006326071935107202, + "loss": 1.3313, + "step": 27350 + }, + { + "epoch": 14.2, + "learning_rate": 0.0006323160729902941, + "loss": 1.5495, + "step": 27360 + }, + { + "epoch": 14.2, + "learning_rate": 0.0006320249042283041, + "loss": 1.3872, + "step": 27370 + }, + { + "epoch": 14.21, + "learning_rate": 0.0006317336873309087, + "loss": 1.4376, + "step": 27380 + }, + { + "epoch": 14.21, + "learning_rate": 0.0006314424224042832, + "loss": 1.4452, + "step": 27390 + }, + { + "epoch": 14.22, + "learning_rate": 0.0006311511095546212, + "loss": 1.4109, + "step": 27400 + }, + { + "epoch": 14.22, + "learning_rate": 0.0006308597488881334, + "loss": 1.2785, + "step": 27410 + }, + { + "epoch": 14.23, + "learning_rate": 0.0006305683405110478, + "loss": 1.784, + "step": 27420 + }, + { + "epoch": 14.23, + "learning_rate": 0.0006302768845296101, + "loss": 1.6483, + "step": 27430 + }, + { + "epoch": 14.24, + "learning_rate": 0.0006299853810500832, + "loss": 1.5428, + "step": 27440 + }, + { + "epoch": 14.24, + "learning_rate": 0.0006296938301787472, + "loss": 1.4571, + "step": 27450 + }, + { + "epoch": 14.25, + "learning_rate": 0.0006294022320219002, + "loss": 1.7306, + "step": 27460 + }, + { + "epoch": 14.26, + "learning_rate": 0.000629110586685856, + "loss": 1.6281, + "step": 27470 + }, + { + "epoch": 14.26, + "learning_rate": 0.0006288188942769474, + "loss": 1.5098, + "step": 27480 + }, + { + "epoch": 14.27, + "learning_rate": 0.000628527154901523, + "loss": 1.2499, + "step": 27490 + }, + { + "epoch": 14.27, + "learning_rate": 0.0006282353686659493, + "loss": 1.3956, + "step": 27500 + }, + { + "epoch": 14.28, + "learning_rate": 0.0006279435356766097, + "loss": 1.505, + "step": 27510 + }, + { + "epoch": 14.28, + "learning_rate": 0.0006276516560399042, + "loss": 1.7419, + "step": 27520 + }, + { + "epoch": 14.29, + "learning_rate": 0.0006273597298622505, + "loss": 1.5575, + "step": 27530 + }, + { + "epoch": 14.29, + "learning_rate": 0.0006270677572500828, + "loss": 1.6, + "step": 27540 + }, + { + "epoch": 14.3, + "learning_rate": 0.0006267757383098527, + "loss": 1.5227, + "step": 27550 + }, + { + "epoch": 14.3, + "learning_rate": 0.0006264836731480279, + "loss": 1.6869, + "step": 27560 + }, + { + "epoch": 14.31, + "learning_rate": 0.0006261915618710936, + "loss": 1.5666, + "step": 27570 + }, + { + "epoch": 14.31, + "learning_rate": 0.0006258994045855518, + "loss": 1.5934, + "step": 27580 + }, + { + "epoch": 14.32, + "learning_rate": 0.000625607201397921, + "loss": 1.7175, + "step": 27590 + }, + { + "epoch": 14.32, + "learning_rate": 0.0006253149524147365, + "loss": 1.848, + "step": 27600 + }, + { + "epoch": 14.33, + "learning_rate": 0.0006250226577425505, + "loss": 1.4144, + "step": 27610 + }, + { + "epoch": 14.33, + "learning_rate": 0.0006247303174879313, + "loss": 1.458, + "step": 27620 + }, + { + "epoch": 14.34, + "learning_rate": 0.0006244379317574646, + "loss": 1.6376, + "step": 27630 + }, + { + "epoch": 14.34, + "learning_rate": 0.0006241455006577524, + "loss": 1.5142, + "step": 27640 + }, + { + "epoch": 14.35, + "learning_rate": 0.0006238530242954127, + "loss": 1.3808, + "step": 27650 + }, + { + "epoch": 14.35, + "learning_rate": 0.0006235605027770809, + "loss": 1.4472, + "step": 27660 + }, + { + "epoch": 14.36, + "learning_rate": 0.000623267936209408, + "loss": 1.8435, + "step": 27670 + }, + { + "epoch": 14.36, + "learning_rate": 0.0006229753246990623, + "loss": 1.6603, + "step": 27680 + }, + { + "epoch": 14.37, + "learning_rate": 0.0006226826683527276, + "loss": 1.4969, + "step": 27690 + }, + { + "epoch": 14.37, + "learning_rate": 0.0006223899672771047, + "loss": 1.4423, + "step": 27700 + }, + { + "epoch": 14.38, + "learning_rate": 0.0006220972215789101, + "loss": 1.6183, + "step": 27710 + }, + { + "epoch": 14.39, + "learning_rate": 0.0006218044313648775, + "loss": 1.4625, + "step": 27720 + }, + { + "epoch": 14.39, + "learning_rate": 0.000621511596741756, + "loss": 1.4327, + "step": 27730 + }, + { + "epoch": 14.4, + "learning_rate": 0.000621218717816311, + "loss": 1.5237, + "step": 27740 + }, + { + "epoch": 14.4, + "learning_rate": 0.0006209257946953246, + "loss": 1.5643, + "step": 27750 + }, + { + "epoch": 14.41, + "learning_rate": 0.0006206328274855941, + "loss": 1.5683, + "step": 27760 + }, + { + "epoch": 14.41, + "learning_rate": 0.0006203398162939341, + "loss": 1.4535, + "step": 27770 + }, + { + "epoch": 14.42, + "learning_rate": 0.0006200467612271738, + "loss": 1.3992, + "step": 27780 + }, + { + "epoch": 14.42, + "learning_rate": 0.0006197536623921598, + "loss": 1.4676, + "step": 27790 + }, + { + "epoch": 14.43, + "learning_rate": 0.0006194605198957535, + "loss": 1.5684, + "step": 27800 + }, + { + "epoch": 14.43, + "learning_rate": 0.000619167333844833, + "loss": 1.5997, + "step": 27810 + }, + { + "epoch": 14.44, + "learning_rate": 0.0006188741043462919, + "loss": 1.628, + "step": 27820 + }, + { + "epoch": 14.44, + "learning_rate": 0.0006185808315070396, + "loss": 1.6247, + "step": 27830 + }, + { + "epoch": 14.45, + "learning_rate": 0.0006182875154340016, + "loss": 1.5918, + "step": 27840 + }, + { + "epoch": 14.45, + "learning_rate": 0.000617994156234119, + "loss": 1.5176, + "step": 27850 + }, + { + "epoch": 14.46, + "learning_rate": 0.0006177007540143487, + "loss": 1.7319, + "step": 27860 + }, + { + "epoch": 14.46, + "learning_rate": 0.0006174073088816628, + "loss": 1.7409, + "step": 27870 + }, + { + "epoch": 14.47, + "learning_rate": 0.0006171138209430501, + "loss": 1.6273, + "step": 27880 + }, + { + "epoch": 14.47, + "learning_rate": 0.0006168202903055136, + "loss": 1.7265, + "step": 27890 + }, + { + "epoch": 14.48, + "learning_rate": 0.0006165267170760733, + "loss": 1.4754, + "step": 27900 + }, + { + "epoch": 14.48, + "learning_rate": 0.0006162331013617637, + "loss": 1.4705, + "step": 27910 + }, + { + "epoch": 14.49, + "learning_rate": 0.0006159394432696352, + "loss": 1.6364, + "step": 27920 + }, + { + "epoch": 14.49, + "learning_rate": 0.0006156457429067535, + "loss": 1.5088, + "step": 27930 + }, + { + "epoch": 14.5, + "learning_rate": 0.0006153520003802001, + "loss": 1.6722, + "step": 27940 + }, + { + "epoch": 14.5, + "learning_rate": 0.0006150582157970714, + "loss": 1.5023, + "step": 27950 + }, + { + "epoch": 14.51, + "learning_rate": 0.0006147643892644793, + "loss": 1.6198, + "step": 27960 + }, + { + "epoch": 14.51, + "learning_rate": 0.0006144705208895509, + "loss": 1.3587, + "step": 27970 + }, + { + "epoch": 14.52, + "learning_rate": 0.000614176610779429, + "loss": 1.3613, + "step": 27980 + }, + { + "epoch": 14.53, + "learning_rate": 0.0006138826590412709, + "loss": 1.5255, + "step": 27990 + }, + { + "epoch": 14.53, + "learning_rate": 0.0006135886657822496, + "loss": 1.3913, + "step": 28000 + }, + { + "epoch": 14.54, + "learning_rate": 0.0006132946311095533, + "loss": 1.4997, + "step": 28010 + }, + { + "epoch": 14.54, + "learning_rate": 0.0006130005551303846, + "loss": 1.4289, + "step": 28020 + }, + { + "epoch": 14.55, + "learning_rate": 0.0006127064379519622, + "loss": 1.3743, + "step": 28030 + }, + { + "epoch": 14.55, + "learning_rate": 0.0006124122796815192, + "loss": 1.5381, + "step": 28040 + }, + { + "epoch": 14.56, + "learning_rate": 0.0006121180804263033, + "loss": 1.4481, + "step": 28050 + }, + { + "epoch": 14.56, + "learning_rate": 0.0006118238402935779, + "loss": 1.56, + "step": 28060 + }, + { + "epoch": 14.57, + "learning_rate": 0.0006115295593906213, + "loss": 1.4882, + "step": 28070 + }, + { + "epoch": 14.57, + "learning_rate": 0.0006112352378247259, + "loss": 1.5383, + "step": 28080 + }, + { + "epoch": 14.58, + "learning_rate": 0.0006109408757031994, + "loss": 1.493, + "step": 28090 + }, + { + "epoch": 14.58, + "learning_rate": 0.0006106464731333646, + "loss": 1.9129, + "step": 28100 + }, + { + "epoch": 14.59, + "learning_rate": 0.0006103520302225585, + "loss": 1.4833, + "step": 28110 + }, + { + "epoch": 14.59, + "learning_rate": 0.0006100575470781332, + "loss": 1.4138, + "step": 28120 + }, + { + "epoch": 14.6, + "learning_rate": 0.0006097630238074552, + "loss": 1.5182, + "step": 28130 + }, + { + "epoch": 14.6, + "learning_rate": 0.0006094684605179058, + "loss": 1.5054, + "step": 28140 + }, + { + "epoch": 14.61, + "learning_rate": 0.0006091738573168805, + "loss": 1.5881, + "step": 28150 + }, + { + "epoch": 14.61, + "learning_rate": 0.0006088792143117902, + "loss": 1.5685, + "step": 28160 + }, + { + "epoch": 14.62, + "learning_rate": 0.0006085845316100595, + "loss": 1.514, + "step": 28170 + }, + { + "epoch": 14.62, + "learning_rate": 0.0006082898093191277, + "loss": 1.4664, + "step": 28180 + }, + { + "epoch": 14.63, + "learning_rate": 0.0006079950475464486, + "loss": 1.413, + "step": 28190 + }, + { + "epoch": 14.63, + "learning_rate": 0.0006077002463994907, + "loss": 1.5035, + "step": 28200 + }, + { + "epoch": 14.64, + "learning_rate": 0.0006074054059857361, + "loss": 1.3579, + "step": 28210 + }, + { + "epoch": 14.64, + "learning_rate": 0.0006071105264126821, + "loss": 1.3843, + "step": 28220 + }, + { + "epoch": 14.65, + "learning_rate": 0.0006068156077878396, + "loss": 1.3425, + "step": 28230 + }, + { + "epoch": 14.65, + "learning_rate": 0.0006065206502187338, + "loss": 1.5484, + "step": 28240 + }, + { + "epoch": 14.66, + "learning_rate": 0.0006062256538129047, + "loss": 1.4962, + "step": 28250 + }, + { + "epoch": 14.67, + "learning_rate": 0.0006059306186779057, + "loss": 1.4954, + "step": 28260 + }, + { + "epoch": 14.67, + "learning_rate": 0.0006056355449213049, + "loss": 1.3406, + "step": 28270 + }, + { + "epoch": 14.68, + "learning_rate": 0.0006053404326506839, + "loss": 1.4301, + "step": 28280 + }, + { + "epoch": 14.68, + "learning_rate": 0.0006050452819736389, + "loss": 1.6767, + "step": 28290 + }, + { + "epoch": 14.69, + "learning_rate": 0.00060475009299778, + "loss": 1.5351, + "step": 28300 + }, + { + "epoch": 14.69, + "learning_rate": 0.000604454865830731, + "loss": 1.6479, + "step": 28310 + }, + { + "epoch": 14.7, + "learning_rate": 0.0006041596005801297, + "loss": 1.4983, + "step": 28320 + }, + { + "epoch": 14.7, + "learning_rate": 0.0006038642973536281, + "loss": 1.4981, + "step": 28330 + }, + { + "epoch": 14.71, + "learning_rate": 0.0006035689562588914, + "loss": 1.7159, + "step": 28340 + }, + { + "epoch": 14.71, + "learning_rate": 0.0006032735774035994, + "loss": 1.6014, + "step": 28350 + }, + { + "epoch": 14.72, + "learning_rate": 0.0006029781608954451, + "loss": 1.4095, + "step": 28360 + }, + { + "epoch": 14.72, + "learning_rate": 0.0006026827068421353, + "loss": 1.4774, + "step": 28370 + }, + { + "epoch": 14.73, + "learning_rate": 0.0006023872153513908, + "loss": 1.6294, + "step": 28380 + }, + { + "epoch": 14.73, + "learning_rate": 0.0006020916865309458, + "loss": 1.4025, + "step": 28390 + }, + { + "epoch": 14.74, + "learning_rate": 0.0006017961204885481, + "loss": 1.3732, + "step": 28400 + }, + { + "epoch": 14.74, + "learning_rate": 0.0006015005173319591, + "loss": 1.4687, + "step": 28410 + }, + { + "epoch": 14.75, + "learning_rate": 0.0006012048771689538, + "loss": 1.3476, + "step": 28420 + }, + { + "epoch": 14.75, + "learning_rate": 0.0006009092001073205, + "loss": 1.4449, + "step": 28430 + }, + { + "epoch": 14.76, + "learning_rate": 0.0006006134862548613, + "loss": 1.323, + "step": 28440 + }, + { + "epoch": 14.76, + "learning_rate": 0.0006003177357193915, + "loss": 1.3105, + "step": 28450 + }, + { + "epoch": 14.77, + "learning_rate": 0.0006000219486087396, + "loss": 1.3982, + "step": 28460 + }, + { + "epoch": 14.77, + "learning_rate": 0.0005997261250307479, + "loss": 1.4592, + "step": 28470 + }, + { + "epoch": 14.78, + "learning_rate": 0.0005994302650932714, + "loss": 1.5194, + "step": 28480 + }, + { + "epoch": 14.78, + "learning_rate": 0.000599134368904179, + "loss": 1.6046, + "step": 28490 + }, + { + "epoch": 14.79, + "learning_rate": 0.0005988384365713521, + "loss": 1.5474, + "step": 28500 + }, + { + "epoch": 14.8, + "learning_rate": 0.000598542468202686, + "loss": 1.4111, + "step": 28510 + }, + { + "epoch": 14.8, + "learning_rate": 0.0005982464639060887, + "loss": 1.5506, + "step": 28520 + }, + { + "epoch": 14.81, + "learning_rate": 0.0005979504237894814, + "loss": 1.2668, + "step": 28530 + }, + { + "epoch": 14.81, + "learning_rate": 0.0005976543479607983, + "loss": 1.4706, + "step": 28540 + }, + { + "epoch": 14.82, + "learning_rate": 0.0005973582365279868, + "loss": 1.5549, + "step": 28550 + }, + { + "epoch": 14.82, + "learning_rate": 0.0005970620895990071, + "loss": 1.5022, + "step": 28560 + }, + { + "epoch": 14.83, + "learning_rate": 0.0005967659072818324, + "loss": 1.3457, + "step": 28570 + }, + { + "epoch": 14.83, + "learning_rate": 0.0005964696896844491, + "loss": 1.4328, + "step": 28580 + }, + { + "epoch": 14.84, + "learning_rate": 0.0005961734369148556, + "loss": 1.5529, + "step": 28590 + }, + { + "epoch": 14.84, + "learning_rate": 0.0005958771490810642, + "loss": 1.3646, + "step": 28600 + }, + { + "epoch": 14.85, + "learning_rate": 0.0005955808262910991, + "loss": 1.6154, + "step": 28610 + }, + { + "epoch": 14.85, + "learning_rate": 0.000595284468652998, + "loss": 1.3585, + "step": 28620 + }, + { + "epoch": 14.86, + "learning_rate": 0.0005949880762748106, + "loss": 1.4099, + "step": 28630 + }, + { + "epoch": 14.86, + "learning_rate": 0.0005946916492645999, + "loss": 1.4053, + "step": 28640 + }, + { + "epoch": 14.87, + "learning_rate": 0.000594395187730441, + "loss": 1.4784, + "step": 28650 + }, + { + "epoch": 14.87, + "learning_rate": 0.0005940986917804219, + "loss": 1.3018, + "step": 28660 + }, + { + "epoch": 14.88, + "learning_rate": 0.0005938021615226431, + "loss": 1.5371, + "step": 28670 + }, + { + "epoch": 14.88, + "learning_rate": 0.0005935055970652175, + "loss": 1.5364, + "step": 28680 + }, + { + "epoch": 14.89, + "learning_rate": 0.0005932089985162704, + "loss": 1.5031, + "step": 28690 + }, + { + "epoch": 14.89, + "learning_rate": 0.0005929123659839399, + "loss": 1.479, + "step": 28700 + }, + { + "epoch": 14.9, + "learning_rate": 0.0005926156995763763, + "loss": 1.5163, + "step": 28710 + }, + { + "epoch": 14.9, + "learning_rate": 0.0005923189994017419, + "loss": 1.4877, + "step": 28720 + }, + { + "epoch": 14.91, + "learning_rate": 0.0005920222655682119, + "loss": 1.4887, + "step": 28730 + }, + { + "epoch": 14.91, + "learning_rate": 0.0005917254981839733, + "loss": 1.3458, + "step": 28740 + }, + { + "epoch": 14.92, + "learning_rate": 0.0005914286973572259, + "loss": 1.3289, + "step": 28750 + }, + { + "epoch": 14.92, + "learning_rate": 0.0005911318631961807, + "loss": 1.5668, + "step": 28760 + }, + { + "epoch": 14.93, + "learning_rate": 0.000590834995809062, + "loss": 1.2921, + "step": 28770 + }, + { + "epoch": 14.94, + "learning_rate": 0.0005905380953041053, + "loss": 1.5287, + "step": 28780 + }, + { + "epoch": 14.94, + "learning_rate": 0.0005902411617895589, + "loss": 1.3411, + "step": 28790 + }, + { + "epoch": 14.95, + "learning_rate": 0.0005899441953736825, + "loss": 1.363, + "step": 28800 + }, + { + "epoch": 14.95, + "learning_rate": 0.0005896471961647483, + "loss": 1.3387, + "step": 28810 + }, + { + "epoch": 14.96, + "learning_rate": 0.00058935016427104, + "loss": 1.5612, + "step": 28820 + }, + { + "epoch": 14.96, + "learning_rate": 0.0005890530998008538, + "loss": 1.6634, + "step": 28830 + }, + { + "epoch": 14.97, + "learning_rate": 0.0005887560028624973, + "loss": 1.409, + "step": 28840 + }, + { + "epoch": 14.97, + "learning_rate": 0.00058845887356429, + "loss": 1.4984, + "step": 28850 + }, + { + "epoch": 14.98, + "learning_rate": 0.0005881617120145632, + "loss": 1.4476, + "step": 28860 + }, + { + "epoch": 14.98, + "learning_rate": 0.0005878645183216602, + "loss": 1.3926, + "step": 28870 + }, + { + "epoch": 14.99, + "learning_rate": 0.0005875672925939358, + "loss": 1.4656, + "step": 28880 + }, + { + "epoch": 14.99, + "learning_rate": 0.0005872700349397566, + "loss": 1.3928, + "step": 28890 + }, + { + "epoch": 15.0, + "learning_rate": 0.0005869727454675007, + "loss": 1.3403, + "step": 28900 + }, + { + "epoch": 15.0, + "eval_accuracy": { + "accuracy": 0.4926070038910506 + }, + "eval_f1": { + "f1": 0.44282153705015465 + }, + "eval_loss": 1.2193456888198853, + "eval_precision": { + "precision": 0.5137836037175402 + }, + "eval_recall": { + "recall": 0.5162930270137864 + }, + "eval_runtime": 179.9656, + "eval_samples_per_second": 21.421, + "eval_steps_per_second": 10.713, + "step": 28905 + }, + { + "epoch": 15.0, + "learning_rate": 0.0005866754242855577, + "loss": 1.325, + "step": 28910 + }, + { + "epoch": 15.01, + "learning_rate": 0.0005863780715023293, + "loss": 1.5068, + "step": 28920 + }, + { + "epoch": 15.01, + "learning_rate": 0.0005860806872262281, + "loss": 1.5348, + "step": 28930 + }, + { + "epoch": 15.02, + "learning_rate": 0.0005857832715656783, + "loss": 1.3228, + "step": 28940 + }, + { + "epoch": 15.02, + "learning_rate": 0.0005854858246291161, + "loss": 1.4757, + "step": 28950 + }, + { + "epoch": 15.03, + "learning_rate": 0.0005851883465249884, + "loss": 1.4747, + "step": 28960 + }, + { + "epoch": 15.03, + "learning_rate": 0.000584890837361754, + "loss": 1.5082, + "step": 28970 + }, + { + "epoch": 15.04, + "learning_rate": 0.0005845932972478822, + "loss": 1.2903, + "step": 28980 + }, + { + "epoch": 15.04, + "learning_rate": 0.0005842957262918549, + "loss": 1.5229, + "step": 28990 + }, + { + "epoch": 15.05, + "learning_rate": 0.0005839981246021638, + "loss": 1.4184, + "step": 29000 + }, + { + "epoch": 15.05, + "learning_rate": 0.0005837004922873131, + "loss": 1.3969, + "step": 29010 + }, + { + "epoch": 15.06, + "learning_rate": 0.0005834028294558172, + "loss": 1.3151, + "step": 29020 + }, + { + "epoch": 15.06, + "learning_rate": 0.0005831051362162022, + "loss": 1.3888, + "step": 29030 + }, + { + "epoch": 15.07, + "learning_rate": 0.0005828074126770047, + "loss": 1.3395, + "step": 29040 + }, + { + "epoch": 15.08, + "learning_rate": 0.0005825096589467733, + "loss": 1.5509, + "step": 29050 + }, + { + "epoch": 15.08, + "learning_rate": 0.0005822118751340668, + "loss": 1.4212, + "step": 29060 + }, + { + "epoch": 15.09, + "learning_rate": 0.000581914061347455, + "loss": 1.6824, + "step": 29070 + }, + { + "epoch": 15.09, + "learning_rate": 0.000581616217695519, + "loss": 1.4122, + "step": 29080 + }, + { + "epoch": 15.1, + "learning_rate": 0.0005813183442868506, + "loss": 1.3746, + "step": 29090 + }, + { + "epoch": 15.1, + "learning_rate": 0.0005810204412300526, + "loss": 1.5857, + "step": 29100 + }, + { + "epoch": 15.11, + "learning_rate": 0.0005807225086337383, + "loss": 1.5656, + "step": 29110 + }, + { + "epoch": 15.11, + "learning_rate": 0.0005804245466065321, + "loss": 1.2708, + "step": 29120 + }, + { + "epoch": 15.12, + "learning_rate": 0.0005801265552570688, + "loss": 1.4179, + "step": 29130 + }, + { + "epoch": 15.12, + "learning_rate": 0.0005798285346939942, + "loss": 1.4214, + "step": 29140 + }, + { + "epoch": 15.13, + "learning_rate": 0.0005795304850259647, + "loss": 1.4064, + "step": 29150 + }, + { + "epoch": 15.13, + "learning_rate": 0.000579232406361647, + "loss": 1.3242, + "step": 29160 + }, + { + "epoch": 15.14, + "learning_rate": 0.0005789342988097189, + "loss": 1.3365, + "step": 29170 + }, + { + "epoch": 15.14, + "learning_rate": 0.000578636162478868, + "loss": 1.3818, + "step": 29180 + }, + { + "epoch": 15.15, + "learning_rate": 0.0005783379974777933, + "loss": 1.5153, + "step": 29190 + }, + { + "epoch": 15.15, + "learning_rate": 0.0005780398039152037, + "loss": 1.4606, + "step": 29200 + }, + { + "epoch": 15.16, + "learning_rate": 0.0005777415818998184, + "loss": 1.4678, + "step": 29210 + }, + { + "epoch": 15.16, + "learning_rate": 0.0005774433315403672, + "loss": 1.3823, + "step": 29220 + }, + { + "epoch": 15.17, + "learning_rate": 0.0005771450529455902, + "loss": 1.3732, + "step": 29230 + }, + { + "epoch": 15.17, + "learning_rate": 0.0005768467462242381, + "loss": 1.4186, + "step": 29240 + }, + { + "epoch": 15.18, + "learning_rate": 0.0005765484114850714, + "loss": 1.5088, + "step": 29250 + }, + { + "epoch": 15.18, + "learning_rate": 0.0005762500488368605, + "loss": 1.4081, + "step": 29260 + }, + { + "epoch": 15.19, + "learning_rate": 0.0005759516583883871, + "loss": 1.4918, + "step": 29270 + }, + { + "epoch": 15.19, + "learning_rate": 0.000575653240248442, + "loss": 1.339, + "step": 29280 + }, + { + "epoch": 15.2, + "learning_rate": 0.0005753547945258268, + "loss": 1.2755, + "step": 29290 + }, + { + "epoch": 15.2, + "learning_rate": 0.0005750563213293525, + "loss": 1.3679, + "step": 29300 + }, + { + "epoch": 15.21, + "learning_rate": 0.0005747578207678406, + "loss": 1.4541, + "step": 29310 + }, + { + "epoch": 15.22, + "learning_rate": 0.0005744592929501223, + "loss": 1.4933, + "step": 29320 + }, + { + "epoch": 15.22, + "learning_rate": 0.0005741607379850392, + "loss": 1.628, + "step": 29330 + }, + { + "epoch": 15.23, + "learning_rate": 0.0005738621559814421, + "loss": 1.4701, + "step": 29340 + }, + { + "epoch": 15.23, + "learning_rate": 0.0005735635470481921, + "loss": 1.4364, + "step": 29350 + }, + { + "epoch": 15.24, + "learning_rate": 0.0005732649112941602, + "loss": 1.1453, + "step": 29360 + }, + { + "epoch": 15.24, + "learning_rate": 0.0005729662488282269, + "loss": 1.5368, + "step": 29370 + }, + { + "epoch": 15.25, + "learning_rate": 0.0005726675597592827, + "loss": 1.3539, + "step": 29380 + }, + { + "epoch": 15.25, + "learning_rate": 0.0005723688441962273, + "loss": 1.3602, + "step": 29390 + }, + { + "epoch": 15.26, + "learning_rate": 0.0005720701022479709, + "loss": 1.5268, + "step": 29400 + }, + { + "epoch": 15.26, + "learning_rate": 0.0005717713340234323, + "loss": 1.2503, + "step": 29410 + }, + { + "epoch": 15.27, + "learning_rate": 0.0005714725396315408, + "loss": 1.5365, + "step": 29420 + }, + { + "epoch": 15.27, + "learning_rate": 0.0005711737191812349, + "loss": 1.3535, + "step": 29430 + }, + { + "epoch": 15.28, + "learning_rate": 0.0005708748727814621, + "loss": 1.3793, + "step": 29440 + }, + { + "epoch": 15.28, + "learning_rate": 0.0005705760005411804, + "loss": 1.2828, + "step": 29450 + }, + { + "epoch": 15.29, + "learning_rate": 0.0005702771025693563, + "loss": 1.3234, + "step": 29460 + }, + { + "epoch": 15.29, + "learning_rate": 0.0005699781789749662, + "loss": 1.3435, + "step": 29470 + }, + { + "epoch": 15.3, + "learning_rate": 0.0005696792298669952, + "loss": 1.2255, + "step": 29480 + }, + { + "epoch": 15.3, + "learning_rate": 0.0005693802553544388, + "loss": 1.3819, + "step": 29490 + }, + { + "epoch": 15.31, + "learning_rate": 0.0005690812555463007, + "loss": 1.3077, + "step": 29500 + }, + { + "epoch": 15.31, + "learning_rate": 0.0005687822305515946, + "loss": 1.3535, + "step": 29510 + }, + { + "epoch": 15.32, + "learning_rate": 0.0005684831804793427, + "loss": 1.3831, + "step": 29520 + }, + { + "epoch": 15.32, + "learning_rate": 0.0005681841054385768, + "loss": 1.3282, + "step": 29530 + }, + { + "epoch": 15.33, + "learning_rate": 0.0005678850055383377, + "loss": 1.3916, + "step": 29540 + }, + { + "epoch": 15.33, + "learning_rate": 0.0005675858808876752, + "loss": 1.4343, + "step": 29550 + }, + { + "epoch": 15.34, + "learning_rate": 0.0005672867315956483, + "loss": 1.2737, + "step": 29560 + }, + { + "epoch": 15.35, + "learning_rate": 0.0005669875577713245, + "loss": 1.1907, + "step": 29570 + }, + { + "epoch": 15.35, + "learning_rate": 0.000566688359523781, + "loss": 1.2218, + "step": 29580 + }, + { + "epoch": 15.36, + "learning_rate": 0.0005663891369621032, + "loss": 1.538, + "step": 29590 + }, + { + "epoch": 15.36, + "learning_rate": 0.000566089890195386, + "loss": 1.3224, + "step": 29600 + }, + { + "epoch": 15.37, + "learning_rate": 0.0005657906193327325, + "loss": 1.5279, + "step": 29610 + }, + { + "epoch": 15.37, + "learning_rate": 0.0005654913244832549, + "loss": 1.269, + "step": 29620 + }, + { + "epoch": 15.38, + "learning_rate": 0.0005651920057560741, + "loss": 1.5014, + "step": 29630 + }, + { + "epoch": 15.38, + "learning_rate": 0.0005648926632603199, + "loss": 1.5474, + "step": 29640 + }, + { + "epoch": 15.39, + "learning_rate": 0.0005645932971051306, + "loss": 1.2871, + "step": 29650 + }, + { + "epoch": 15.39, + "learning_rate": 0.0005642939073996529, + "loss": 1.5208, + "step": 29660 + }, + { + "epoch": 15.4, + "learning_rate": 0.0005639944942530425, + "loss": 1.5512, + "step": 29670 + }, + { + "epoch": 15.4, + "learning_rate": 0.0005636950577744632, + "loss": 1.0971, + "step": 29680 + }, + { + "epoch": 15.41, + "learning_rate": 0.0005633955980730881, + "loss": 1.5472, + "step": 29690 + }, + { + "epoch": 15.41, + "learning_rate": 0.0005630961152580975, + "loss": 1.5223, + "step": 29700 + }, + { + "epoch": 15.42, + "learning_rate": 0.0005627966094386811, + "loss": 1.4048, + "step": 29710 + }, + { + "epoch": 15.42, + "learning_rate": 0.0005624970807240371, + "loss": 1.4304, + "step": 29720 + }, + { + "epoch": 15.43, + "learning_rate": 0.0005621975292233715, + "loss": 1.2976, + "step": 29730 + }, + { + "epoch": 15.43, + "learning_rate": 0.0005618979550458985, + "loss": 1.268, + "step": 29740 + }, + { + "epoch": 15.44, + "learning_rate": 0.0005615983583008411, + "loss": 1.3611, + "step": 29750 + }, + { + "epoch": 15.44, + "learning_rate": 0.0005612987390974302, + "loss": 1.403, + "step": 29760 + }, + { + "epoch": 15.45, + "learning_rate": 0.0005609990975449052, + "loss": 1.3407, + "step": 29770 + }, + { + "epoch": 15.45, + "learning_rate": 0.0005606994337525132, + "loss": 1.6409, + "step": 29780 + }, + { + "epoch": 15.46, + "learning_rate": 0.0005603997478295096, + "loss": 1.6322, + "step": 29790 + }, + { + "epoch": 15.46, + "learning_rate": 0.0005601000398851582, + "loss": 1.5174, + "step": 29800 + }, + { + "epoch": 15.47, + "learning_rate": 0.0005598003100287302, + "loss": 1.5226, + "step": 29810 + }, + { + "epoch": 15.47, + "learning_rate": 0.0005595005583695055, + "loss": 1.2034, + "step": 29820 + }, + { + "epoch": 15.48, + "learning_rate": 0.0005592007850167709, + "loss": 1.6588, + "step": 29830 + }, + { + "epoch": 15.49, + "learning_rate": 0.0005589009900798226, + "loss": 1.5569, + "step": 29840 + }, + { + "epoch": 15.49, + "learning_rate": 0.0005586011736679632, + "loss": 1.409, + "step": 29850 + }, + { + "epoch": 15.5, + "learning_rate": 0.000558301335890504, + "loss": 1.4667, + "step": 29860 + }, + { + "epoch": 15.5, + "learning_rate": 0.0005580014768567641, + "loss": 1.335, + "step": 29870 + }, + { + "epoch": 15.51, + "learning_rate": 0.0005577015966760696, + "loss": 1.4007, + "step": 29880 + }, + { + "epoch": 15.51, + "learning_rate": 0.0005574016954577555, + "loss": 1.3312, + "step": 29890 + }, + { + "epoch": 15.52, + "learning_rate": 0.0005571017733111633, + "loss": 1.7058, + "step": 29900 + }, + { + "epoch": 15.52, + "learning_rate": 0.0005568018303456429, + "loss": 1.4601, + "step": 29910 + }, + { + "epoch": 15.53, + "learning_rate": 0.0005565018666705511, + "loss": 1.2018, + "step": 29920 + }, + { + "epoch": 15.53, + "learning_rate": 0.0005562018823952532, + "loss": 1.594, + "step": 29930 + }, + { + "epoch": 15.54, + "learning_rate": 0.000555901877629121, + "loss": 1.2801, + "step": 29940 + }, + { + "epoch": 15.54, + "learning_rate": 0.0005556018524815349, + "loss": 1.5199, + "step": 29950 + }, + { + "epoch": 15.55, + "learning_rate": 0.0005553018070618813, + "loss": 1.4142, + "step": 29960 + }, + { + "epoch": 15.55, + "learning_rate": 0.0005550017414795552, + "loss": 1.397, + "step": 29970 + }, + { + "epoch": 15.56, + "learning_rate": 0.0005547016558439585, + "loss": 1.4342, + "step": 29980 + }, + { + "epoch": 15.56, + "learning_rate": 0.0005544015502645005, + "loss": 1.3275, + "step": 29990 + }, + { + "epoch": 15.57, + "learning_rate": 0.0005541014248505974, + "loss": 1.3458, + "step": 30000 + }, + { + "epoch": 15.57, + "learning_rate": 0.0005538012797116732, + "loss": 1.5593, + "step": 30010 + }, + { + "epoch": 15.58, + "learning_rate": 0.0005535011149571589, + "loss": 1.4796, + "step": 30020 + }, + { + "epoch": 15.58, + "learning_rate": 0.0005532009306964922, + "loss": 1.2613, + "step": 30030 + }, + { + "epoch": 15.59, + "learning_rate": 0.000552900727039119, + "loss": 1.5965, + "step": 30040 + }, + { + "epoch": 15.59, + "learning_rate": 0.0005526005040944907, + "loss": 1.4189, + "step": 30050 + }, + { + "epoch": 15.6, + "learning_rate": 0.0005523002619720671, + "loss": 1.4849, + "step": 30060 + }, + { + "epoch": 15.6, + "learning_rate": 0.0005520000007813145, + "loss": 1.2994, + "step": 30070 + }, + { + "epoch": 15.61, + "learning_rate": 0.000551699720631706, + "loss": 1.4458, + "step": 30080 + }, + { + "epoch": 15.61, + "learning_rate": 0.0005513994216327218, + "loss": 1.3616, + "step": 30090 + }, + { + "epoch": 15.62, + "learning_rate": 0.000551099103893849, + "loss": 1.4759, + "step": 30100 + }, + { + "epoch": 15.63, + "learning_rate": 0.0005507987675245812, + "loss": 1.4463, + "step": 30110 + }, + { + "epoch": 15.63, + "learning_rate": 0.0005504984126344193, + "loss": 1.466, + "step": 30120 + }, + { + "epoch": 15.64, + "learning_rate": 0.0005501980393328707, + "loss": 1.4833, + "step": 30130 + }, + { + "epoch": 15.64, + "learning_rate": 0.0005498976477294494, + "loss": 1.4955, + "step": 30140 + }, + { + "epoch": 15.65, + "learning_rate": 0.0005495972379336762, + "loss": 1.3792, + "step": 30150 + }, + { + "epoch": 15.65, + "learning_rate": 0.0005492968100550786, + "loss": 1.4593, + "step": 30160 + }, + { + "epoch": 15.66, + "learning_rate": 0.0005489963642031906, + "loss": 1.3182, + "step": 30170 + }, + { + "epoch": 15.66, + "learning_rate": 0.0005486959004875527, + "loss": 1.556, + "step": 30180 + }, + { + "epoch": 15.67, + "learning_rate": 0.000548395419017712, + "loss": 1.2955, + "step": 30190 + }, + { + "epoch": 15.67, + "learning_rate": 0.0005480949199032221, + "loss": 1.3399, + "step": 30200 + }, + { + "epoch": 15.68, + "learning_rate": 0.000547794403253643, + "loss": 1.4116, + "step": 30210 + }, + { + "epoch": 15.68, + "learning_rate": 0.000547493869178541, + "loss": 1.486, + "step": 30220 + }, + { + "epoch": 15.69, + "learning_rate": 0.0005471933177874889, + "loss": 1.3274, + "step": 30230 + }, + { + "epoch": 15.69, + "learning_rate": 0.0005468927491900657, + "loss": 1.2269, + "step": 30240 + }, + { + "epoch": 15.7, + "learning_rate": 0.0005465921634958568, + "loss": 1.2096, + "step": 30250 + }, + { + "epoch": 15.7, + "learning_rate": 0.0005462915608144537, + "loss": 1.5215, + "step": 30260 + }, + { + "epoch": 15.71, + "learning_rate": 0.000545990941255454, + "loss": 1.2572, + "step": 30270 + }, + { + "epoch": 15.71, + "learning_rate": 0.000545690304928462, + "loss": 1.3519, + "step": 30280 + }, + { + "epoch": 15.72, + "learning_rate": 0.000545389651943087, + "loss": 1.4926, + "step": 30290 + }, + { + "epoch": 15.72, + "learning_rate": 0.000545088982408946, + "loss": 1.3986, + "step": 30300 + }, + { + "epoch": 15.73, + "learning_rate": 0.0005447882964356606, + "loss": 1.3787, + "step": 30310 + }, + { + "epoch": 15.73, + "learning_rate": 0.0005444875941328589, + "loss": 1.4762, + "step": 30320 + }, + { + "epoch": 15.74, + "learning_rate": 0.0005441868756101749, + "loss": 1.3161, + "step": 30330 + }, + { + "epoch": 15.74, + "learning_rate": 0.0005438861409772489, + "loss": 1.3621, + "step": 30340 + }, + { + "epoch": 15.75, + "learning_rate": 0.0005435853903437265, + "loss": 1.4219, + "step": 30350 + }, + { + "epoch": 15.76, + "learning_rate": 0.0005432846238192595, + "loss": 1.4518, + "step": 30360 + }, + { + "epoch": 15.76, + "learning_rate": 0.0005429838415135054, + "loss": 1.6096, + "step": 30370 + }, + { + "epoch": 15.77, + "learning_rate": 0.0005426830435361273, + "loss": 1.4774, + "step": 30380 + }, + { + "epoch": 15.77, + "learning_rate": 0.0005423822299967943, + "loss": 1.2652, + "step": 30390 + }, + { + "epoch": 15.78, + "learning_rate": 0.000542081401005181, + "loss": 1.5349, + "step": 30400 + }, + { + "epoch": 15.78, + "learning_rate": 0.0005417805566709676, + "loss": 1.5714, + "step": 30410 + }, + { + "epoch": 15.79, + "learning_rate": 0.0005414796971038399, + "loss": 1.6111, + "step": 30420 + }, + { + "epoch": 15.79, + "learning_rate": 0.0005411788224134894, + "loss": 1.4296, + "step": 30430 + }, + { + "epoch": 15.8, + "learning_rate": 0.0005408779327096131, + "loss": 1.4444, + "step": 30440 + }, + { + "epoch": 15.8, + "learning_rate": 0.0005405770281019134, + "loss": 1.4881, + "step": 30450 + }, + { + "epoch": 15.81, + "learning_rate": 0.0005402761087000977, + "loss": 1.5718, + "step": 30460 + }, + { + "epoch": 15.81, + "learning_rate": 0.0005399751746138797, + "loss": 1.3801, + "step": 30470 + }, + { + "epoch": 15.82, + "learning_rate": 0.0005396742259529777, + "loss": 1.4718, + "step": 30480 + }, + { + "epoch": 15.82, + "learning_rate": 0.0005393732628271159, + "loss": 1.4403, + "step": 30490 + }, + { + "epoch": 15.83, + "learning_rate": 0.0005390722853460231, + "loss": 1.3083, + "step": 30500 + }, + { + "epoch": 15.83, + "learning_rate": 0.0005387712936194338, + "loss": 1.2577, + "step": 30510 + }, + { + "epoch": 15.84, + "learning_rate": 0.0005384702877570879, + "loss": 1.54, + "step": 30520 + }, + { + "epoch": 15.84, + "learning_rate": 0.0005381692678687298, + "loss": 1.282, + "step": 30530 + }, + { + "epoch": 15.85, + "learning_rate": 0.0005378682340641095, + "loss": 1.3894, + "step": 30540 + }, + { + "epoch": 15.85, + "learning_rate": 0.0005375671864529816, + "loss": 1.3916, + "step": 30550 + }, + { + "epoch": 15.86, + "learning_rate": 0.0005372661251451066, + "loss": 1.3402, + "step": 30560 + }, + { + "epoch": 15.86, + "learning_rate": 0.0005369650502502491, + "loss": 1.714, + "step": 30570 + }, + { + "epoch": 15.87, + "learning_rate": 0.0005366639618781793, + "loss": 1.4657, + "step": 30580 + }, + { + "epoch": 15.87, + "learning_rate": 0.0005363628601386717, + "loss": 1.3566, + "step": 30590 + }, + { + "epoch": 15.88, + "learning_rate": 0.0005360617451415061, + "loss": 1.4477, + "step": 30600 + }, + { + "epoch": 15.88, + "learning_rate": 0.0005357606169964672, + "loss": 1.3519, + "step": 30610 + }, + { + "epoch": 15.89, + "learning_rate": 0.0005354594758133442, + "loss": 1.698, + "step": 30620 + }, + { + "epoch": 15.9, + "learning_rate": 0.0005351583217019311, + "loss": 1.7847, + "step": 30630 + }, + { + "epoch": 15.9, + "learning_rate": 0.0005348571547720268, + "loss": 1.7121, + "step": 30640 + }, + { + "epoch": 15.91, + "learning_rate": 0.0005345559751334348, + "loss": 1.583, + "step": 30650 + }, + { + "epoch": 15.91, + "learning_rate": 0.0005342547828959631, + "loss": 1.5192, + "step": 30660 + }, + { + "epoch": 15.92, + "learning_rate": 0.0005339535781694245, + "loss": 1.4977, + "step": 30670 + }, + { + "epoch": 15.92, + "learning_rate": 0.0005336523610636361, + "loss": 1.5195, + "step": 30680 + }, + { + "epoch": 15.93, + "learning_rate": 0.0005333511316884199, + "loss": 1.419, + "step": 30690 + }, + { + "epoch": 15.93, + "learning_rate": 0.0005330498901536018, + "loss": 1.3941, + "step": 30700 + }, + { + "epoch": 15.94, + "learning_rate": 0.0005327486365690129, + "loss": 1.4306, + "step": 30710 + }, + { + "epoch": 15.94, + "learning_rate": 0.0005324473710444878, + "loss": 1.2836, + "step": 30720 + }, + { + "epoch": 15.95, + "learning_rate": 0.0005321460936898661, + "loss": 1.4399, + "step": 30730 + }, + { + "epoch": 15.95, + "learning_rate": 0.0005318448046149918, + "loss": 1.5018, + "step": 30740 + }, + { + "epoch": 15.96, + "learning_rate": 0.0005315435039297124, + "loss": 1.3423, + "step": 30750 + }, + { + "epoch": 15.96, + "learning_rate": 0.0005312421917438807, + "loss": 1.3439, + "step": 30760 + }, + { + "epoch": 15.97, + "learning_rate": 0.0005309408681673525, + "loss": 1.2519, + "step": 30770 + }, + { + "epoch": 15.97, + "learning_rate": 0.000530639533309989, + "loss": 1.3356, + "step": 30780 + }, + { + "epoch": 15.98, + "learning_rate": 0.0005303381872816544, + "loss": 1.5291, + "step": 30790 + }, + { + "epoch": 15.98, + "learning_rate": 0.0005300368301922177, + "loss": 1.3812, + "step": 30800 + }, + { + "epoch": 15.99, + "learning_rate": 0.0005297354621515518, + "loss": 1.3437, + "step": 30810 + }, + { + "epoch": 15.99, + "learning_rate": 0.0005294340832695333, + "loss": 1.3829, + "step": 30820 + }, + { + "epoch": 16.0, + "learning_rate": 0.0005291326936560428, + "loss": 1.4806, + "step": 30830 + }, + { + "epoch": 16.0, + "eval_accuracy": { + "accuracy": 0.5060959792477302 + }, + "eval_f1": { + "f1": 0.49960050025350783 + }, + "eval_loss": 1.2118881940841675, + "eval_precision": { + "precision": 0.4999152354253829 + }, + "eval_recall": { + "recall": 0.5224114833278971 + }, + "eval_runtime": 180.7814, + "eval_samples_per_second": 21.324, + "eval_steps_per_second": 10.665, + "step": 30832 + }, + { + "epoch": 16.0, + "learning_rate": 0.0005288312934209654, + "loss": 1.4065, + "step": 30840 + }, + { + "epoch": 16.01, + "learning_rate": 0.0005285298826741893, + "loss": 1.3169, + "step": 30850 + }, + { + "epoch": 16.01, + "learning_rate": 0.0005282284615256068, + "loss": 1.1324, + "step": 30860 + }, + { + "epoch": 16.02, + "learning_rate": 0.0005279270300851145, + "loss": 1.3435, + "step": 30870 + }, + { + "epoch": 16.02, + "learning_rate": 0.0005276255884626116, + "loss": 1.2843, + "step": 30880 + }, + { + "epoch": 16.03, + "learning_rate": 0.0005273241367680027, + "loss": 1.3872, + "step": 30890 + }, + { + "epoch": 16.04, + "learning_rate": 0.000527022675111194, + "loss": 1.3855, + "step": 30900 + }, + { + "epoch": 16.04, + "learning_rate": 0.0005267212036020972, + "loss": 1.3654, + "step": 30910 + }, + { + "epoch": 16.05, + "learning_rate": 0.0005264197223506264, + "loss": 1.2504, + "step": 30920 + }, + { + "epoch": 16.05, + "learning_rate": 0.0005261182314666999, + "loss": 1.2673, + "step": 30930 + }, + { + "epoch": 16.06, + "learning_rate": 0.0005258167310602393, + "loss": 1.5953, + "step": 30940 + }, + { + "epoch": 16.06, + "learning_rate": 0.0005255152212411693, + "loss": 1.1848, + "step": 30950 + }, + { + "epoch": 16.07, + "learning_rate": 0.0005252137021194189, + "loss": 1.5049, + "step": 30960 + }, + { + "epoch": 16.07, + "learning_rate": 0.0005249121738049196, + "loss": 1.3496, + "step": 30970 + }, + { + "epoch": 16.08, + "learning_rate": 0.0005246106364076069, + "loss": 1.4917, + "step": 30980 + }, + { + "epoch": 16.08, + "learning_rate": 0.0005243090900374189, + "loss": 1.4941, + "step": 30990 + }, + { + "epoch": 16.09, + "learning_rate": 0.0005240075348042979, + "loss": 1.2742, + "step": 31000 + }, + { + "epoch": 16.09, + "learning_rate": 0.0005237059708181885, + "loss": 1.4572, + "step": 31010 + }, + { + "epoch": 16.1, + "learning_rate": 0.0005234043981890394, + "loss": 1.4536, + "step": 31020 + }, + { + "epoch": 16.1, + "learning_rate": 0.0005231028170268016, + "loss": 1.4797, + "step": 31030 + }, + { + "epoch": 16.11, + "learning_rate": 0.0005228012274414298, + "loss": 1.3718, + "step": 31040 + }, + { + "epoch": 16.11, + "learning_rate": 0.0005224996295428814, + "loss": 1.1734, + "step": 31050 + }, + { + "epoch": 16.12, + "learning_rate": 0.0005221980234411172, + "loss": 1.2494, + "step": 31060 + }, + { + "epoch": 16.12, + "learning_rate": 0.0005218964092461008, + "loss": 1.3399, + "step": 31070 + }, + { + "epoch": 16.13, + "learning_rate": 0.0005215947870677983, + "loss": 1.343, + "step": 31080 + }, + { + "epoch": 16.13, + "learning_rate": 0.0005212931570161796, + "loss": 1.4225, + "step": 31090 + }, + { + "epoch": 16.14, + "learning_rate": 0.0005209915192012169, + "loss": 1.3906, + "step": 31100 + }, + { + "epoch": 16.14, + "learning_rate": 0.0005206898737328856, + "loss": 1.1817, + "step": 31110 + }, + { + "epoch": 16.15, + "learning_rate": 0.000520388220721163, + "loss": 1.3771, + "step": 31120 + }, + { + "epoch": 16.15, + "learning_rate": 0.0005200865602760303, + "loss": 1.3793, + "step": 31130 + }, + { + "epoch": 16.16, + "learning_rate": 0.0005197848925074707, + "loss": 1.3394, + "step": 31140 + }, + { + "epoch": 16.17, + "learning_rate": 0.0005194832175254705, + "loss": 1.6424, + "step": 31150 + }, + { + "epoch": 16.17, + "learning_rate": 0.0005191815354400182, + "loss": 1.356, + "step": 31160 + }, + { + "epoch": 16.18, + "learning_rate": 0.000518879846361105, + "loss": 1.3209, + "step": 31170 + }, + { + "epoch": 16.18, + "learning_rate": 0.0005185781503987251, + "loss": 1.2125, + "step": 31180 + }, + { + "epoch": 16.19, + "learning_rate": 0.0005182764476628745, + "loss": 1.4353, + "step": 31190 + }, + { + "epoch": 16.19, + "learning_rate": 0.000517974738263552, + "loss": 1.3173, + "step": 31200 + }, + { + "epoch": 16.2, + "learning_rate": 0.0005176730223107591, + "loss": 1.3404, + "step": 31210 + }, + { + "epoch": 16.2, + "learning_rate": 0.0005173712999144994, + "loss": 1.334, + "step": 31220 + }, + { + "epoch": 16.21, + "learning_rate": 0.0005170695711847786, + "loss": 1.5259, + "step": 31230 + }, + { + "epoch": 16.21, + "learning_rate": 0.0005167678362316053, + "loss": 1.4487, + "step": 31240 + }, + { + "epoch": 16.22, + "learning_rate": 0.0005164660951649901, + "loss": 1.3536, + "step": 31250 + }, + { + "epoch": 16.22, + "learning_rate": 0.0005161643480949456, + "loss": 1.3998, + "step": 31260 + }, + { + "epoch": 16.23, + "learning_rate": 0.0005158625951314868, + "loss": 1.4048, + "step": 31270 + }, + { + "epoch": 16.23, + "learning_rate": 0.0005155608363846309, + "loss": 1.1911, + "step": 31280 + }, + { + "epoch": 16.24, + "learning_rate": 0.0005152590719643972, + "loss": 1.1521, + "step": 31290 + }, + { + "epoch": 16.24, + "learning_rate": 0.0005149573019808068, + "loss": 1.4028, + "step": 31300 + }, + { + "epoch": 16.25, + "learning_rate": 0.0005146555265438833, + "loss": 1.3478, + "step": 31310 + }, + { + "epoch": 16.25, + "learning_rate": 0.0005143537457636517, + "loss": 1.2858, + "step": 31320 + }, + { + "epoch": 16.26, + "learning_rate": 0.0005140519597501397, + "loss": 1.4191, + "step": 31330 + }, + { + "epoch": 16.26, + "learning_rate": 0.0005137501686133762, + "loss": 1.5493, + "step": 31340 + }, + { + "epoch": 16.27, + "learning_rate": 0.0005134483724633923, + "loss": 1.396, + "step": 31350 + }, + { + "epoch": 16.27, + "learning_rate": 0.0005131465714102207, + "loss": 1.2926, + "step": 31360 + }, + { + "epoch": 16.28, + "learning_rate": 0.0005128447655638964, + "loss": 1.331, + "step": 31370 + }, + { + "epoch": 16.28, + "learning_rate": 0.0005125429550344555, + "loss": 1.3502, + "step": 31380 + }, + { + "epoch": 16.29, + "learning_rate": 0.0005122411399319366, + "loss": 1.1982, + "step": 31390 + }, + { + "epoch": 16.29, + "learning_rate": 0.0005119393203663788, + "loss": 1.2854, + "step": 31400 + }, + { + "epoch": 16.3, + "learning_rate": 0.000511637496447824, + "loss": 1.2116, + "step": 31410 + }, + { + "epoch": 16.31, + "learning_rate": 0.0005113356682863152, + "loss": 1.472, + "step": 31420 + }, + { + "epoch": 16.31, + "learning_rate": 0.0005110338359918967, + "loss": 1.4195, + "step": 31430 + }, + { + "epoch": 16.32, + "learning_rate": 0.0005107319996746147, + "loss": 1.3654, + "step": 31440 + }, + { + "epoch": 16.32, + "learning_rate": 0.0005104301594445167, + "loss": 1.4585, + "step": 31450 + }, + { + "epoch": 16.33, + "learning_rate": 0.0005101283154116516, + "loss": 1.3727, + "step": 31460 + }, + { + "epoch": 16.33, + "learning_rate": 0.0005098264676860699, + "loss": 1.39, + "step": 31470 + }, + { + "epoch": 16.34, + "learning_rate": 0.0005095246163778233, + "loss": 1.319, + "step": 31480 + }, + { + "epoch": 16.34, + "learning_rate": 0.0005092227615969642, + "loss": 1.3682, + "step": 31490 + }, + { + "epoch": 16.35, + "learning_rate": 0.0005089209034535477, + "loss": 1.2749, + "step": 31500 + }, + { + "epoch": 16.35, + "learning_rate": 0.0005086190420576287, + "loss": 1.2444, + "step": 31510 + }, + { + "epoch": 16.36, + "learning_rate": 0.0005083171775192641, + "loss": 1.2451, + "step": 31520 + }, + { + "epoch": 16.36, + "learning_rate": 0.0005080153099485117, + "loss": 1.4342, + "step": 31530 + }, + { + "epoch": 16.37, + "learning_rate": 0.0005077134394554305, + "loss": 1.3564, + "step": 31540 + }, + { + "epoch": 16.37, + "learning_rate": 0.0005074115661500801, + "loss": 1.4324, + "step": 31550 + }, + { + "epoch": 16.38, + "learning_rate": 0.000507109690142522, + "loss": 1.2935, + "step": 31560 + }, + { + "epoch": 16.38, + "learning_rate": 0.0005068078115428178, + "loss": 1.3561, + "step": 31570 + }, + { + "epoch": 16.39, + "learning_rate": 0.0005065059304610307, + "loss": 1.512, + "step": 31580 + }, + { + "epoch": 16.39, + "learning_rate": 0.0005062040470072244, + "loss": 1.3915, + "step": 31590 + }, + { + "epoch": 16.4, + "learning_rate": 0.0005059021612914638, + "loss": 1.4817, + "step": 31600 + }, + { + "epoch": 16.4, + "learning_rate": 0.0005056002734238142, + "loss": 1.2722, + "step": 31610 + }, + { + "epoch": 16.41, + "learning_rate": 0.0005052983835143419, + "loss": 1.3009, + "step": 31620 + }, + { + "epoch": 16.41, + "learning_rate": 0.0005049964916731141, + "loss": 1.1423, + "step": 31630 + }, + { + "epoch": 16.42, + "learning_rate": 0.0005046945980101985, + "loss": 1.3583, + "step": 31640 + }, + { + "epoch": 16.42, + "learning_rate": 0.0005043927026356637, + "loss": 1.314, + "step": 31650 + }, + { + "epoch": 16.43, + "learning_rate": 0.0005040908056595786, + "loss": 1.3959, + "step": 31660 + }, + { + "epoch": 16.43, + "learning_rate": 0.0005037889071920127, + "loss": 1.4114, + "step": 31670 + }, + { + "epoch": 16.44, + "learning_rate": 0.0005034870073430364, + "loss": 1.3932, + "step": 31680 + }, + { + "epoch": 16.45, + "learning_rate": 0.0005031851062227204, + "loss": 1.4043, + "step": 31690 + }, + { + "epoch": 16.45, + "learning_rate": 0.0005028832039411359, + "loss": 1.4077, + "step": 31700 + }, + { + "epoch": 16.46, + "learning_rate": 0.000502581300608354, + "loss": 1.2468, + "step": 31710 + }, + { + "epoch": 16.46, + "learning_rate": 0.0005022793963344471, + "loss": 1.336, + "step": 31720 + }, + { + "epoch": 16.47, + "learning_rate": 0.0005019774912294874, + "loss": 1.438, + "step": 31730 + }, + { + "epoch": 16.47, + "learning_rate": 0.0005016755854035477, + "loss": 1.2096, + "step": 31740 + }, + { + "epoch": 16.48, + "learning_rate": 0.0005013736789667004, + "loss": 1.1854, + "step": 31750 + }, + { + "epoch": 16.48, + "learning_rate": 0.000501071772029019, + "loss": 1.5282, + "step": 31760 + }, + { + "epoch": 16.49, + "learning_rate": 0.0005007698647005765, + "loss": 1.3381, + "step": 31770 + }, + { + "epoch": 16.49, + "learning_rate": 0.0005004679570914466, + "loss": 1.4257, + "step": 31780 + }, + { + "epoch": 16.5, + "learning_rate": 0.0005001660493117025, + "loss": 1.3414, + "step": 31790 + }, + { + "epoch": 16.5, + "learning_rate": 0.0004998641414714181, + "loss": 1.2905, + "step": 31800 + }, + { + "epoch": 16.51, + "learning_rate": 0.0004995622336806664, + "loss": 1.4541, + "step": 31810 + }, + { + "epoch": 16.51, + "learning_rate": 0.0004992603260495219, + "loss": 1.3861, + "step": 31820 + }, + { + "epoch": 16.52, + "learning_rate": 0.0004989584186880573, + "loss": 1.5102, + "step": 31830 + }, + { + "epoch": 16.52, + "learning_rate": 0.0004986565117063464, + "loss": 1.2027, + "step": 31840 + }, + { + "epoch": 16.53, + "learning_rate": 0.0004983546052144625, + "loss": 1.3218, + "step": 31850 + }, + { + "epoch": 16.53, + "learning_rate": 0.0004980526993224786, + "loss": 1.2546, + "step": 31860 + }, + { + "epoch": 16.54, + "learning_rate": 0.0004977507941404677, + "loss": 1.2268, + "step": 31870 + }, + { + "epoch": 16.54, + "learning_rate": 0.0004974488897785022, + "loss": 1.2829, + "step": 31880 + }, + { + "epoch": 16.55, + "learning_rate": 0.0004971469863466548, + "loss": 1.2112, + "step": 31890 + }, + { + "epoch": 16.55, + "learning_rate": 0.0004968450839549972, + "loss": 1.3136, + "step": 31900 + }, + { + "epoch": 16.56, + "learning_rate": 0.0004965431827136011, + "loss": 1.2921, + "step": 31910 + }, + { + "epoch": 16.56, + "learning_rate": 0.0004962412827325377, + "loss": 1.3763, + "step": 31920 + }, + { + "epoch": 16.57, + "learning_rate": 0.0004959393841218776, + "loss": 1.3201, + "step": 31930 + }, + { + "epoch": 16.57, + "learning_rate": 0.0004956374869916913, + "loss": 1.41, + "step": 31940 + }, + { + "epoch": 16.58, + "learning_rate": 0.0004953355914520482, + "loss": 1.3281, + "step": 31950 + }, + { + "epoch": 16.59, + "learning_rate": 0.0004950336976130177, + "loss": 1.3459, + "step": 31960 + }, + { + "epoch": 16.59, + "learning_rate": 0.0004947318055846681, + "loss": 1.1623, + "step": 31970 + }, + { + "epoch": 16.6, + "learning_rate": 0.0004944299154770673, + "loss": 1.4356, + "step": 31980 + }, + { + "epoch": 16.6, + "learning_rate": 0.0004941280274002824, + "loss": 1.4489, + "step": 31990 + }, + { + "epoch": 16.61, + "learning_rate": 0.0004938261414643799, + "loss": 1.3236, + "step": 32000 + }, + { + "epoch": 16.61, + "learning_rate": 0.000493524257779425, + "loss": 1.3072, + "step": 32010 + }, + { + "epoch": 16.62, + "learning_rate": 0.0004932223764554832, + "loss": 1.222, + "step": 32020 + }, + { + "epoch": 16.62, + "learning_rate": 0.0004929204976026181, + "loss": 1.276, + "step": 32030 + }, + { + "epoch": 16.63, + "learning_rate": 0.0004926186213308923, + "loss": 1.2313, + "step": 32040 + }, + { + "epoch": 16.63, + "learning_rate": 0.0004923167477503686, + "loss": 1.3459, + "step": 32050 + }, + { + "epoch": 16.64, + "learning_rate": 0.0004920148769711074, + "loss": 1.4082, + "step": 32060 + }, + { + "epoch": 16.64, + "learning_rate": 0.0004917130091031697, + "loss": 1.4137, + "step": 32070 + }, + { + "epoch": 16.65, + "learning_rate": 0.0004914111442566137, + "loss": 1.3133, + "step": 32080 + }, + { + "epoch": 16.65, + "learning_rate": 0.0004911092825414976, + "loss": 1.2841, + "step": 32090 + }, + { + "epoch": 16.66, + "learning_rate": 0.0004908074240678783, + "loss": 1.2953, + "step": 32100 + }, + { + "epoch": 16.66, + "learning_rate": 0.0004905055689458113, + "loss": 1.3643, + "step": 32110 + }, + { + "epoch": 16.67, + "learning_rate": 0.0004902037172853507, + "loss": 1.4276, + "step": 32120 + }, + { + "epoch": 16.67, + "learning_rate": 0.0004899018691965502, + "loss": 1.2036, + "step": 32130 + }, + { + "epoch": 16.68, + "learning_rate": 0.0004896000247894611, + "loss": 1.0171, + "step": 32140 + }, + { + "epoch": 16.68, + "learning_rate": 0.0004892981841741343, + "loss": 1.3768, + "step": 32150 + }, + { + "epoch": 16.69, + "learning_rate": 0.0004889963474606187, + "loss": 1.1873, + "step": 32160 + }, + { + "epoch": 16.69, + "learning_rate": 0.0004886945147589615, + "loss": 1.3283, + "step": 32170 + }, + { + "epoch": 16.7, + "learning_rate": 0.0004883926861792098, + "loss": 1.4417, + "step": 32180 + }, + { + "epoch": 16.7, + "learning_rate": 0.00048809086183140745, + "loss": 1.3419, + "step": 32190 + }, + { + "epoch": 16.71, + "learning_rate": 0.00048778904182559835, + "loss": 1.3082, + "step": 32200 + }, + { + "epoch": 16.72, + "learning_rate": 0.0004874872262718236, + "loss": 1.3742, + "step": 32210 + }, + { + "epoch": 16.72, + "learning_rate": 0.0004871854152801232, + "loss": 1.2704, + "step": 32220 + }, + { + "epoch": 16.73, + "learning_rate": 0.0004868836089605355, + "loss": 1.4269, + "step": 32230 + }, + { + "epoch": 16.73, + "learning_rate": 0.0004865818074230971, + "loss": 1.3591, + "step": 32240 + }, + { + "epoch": 16.74, + "learning_rate": 0.00048628001077784293, + "loss": 1.2668, + "step": 32250 + }, + { + "epoch": 16.74, + "learning_rate": 0.0004859782191348059, + "loss": 1.5294, + "step": 32260 + }, + { + "epoch": 16.75, + "learning_rate": 0.00048567643260401727, + "loss": 1.3206, + "step": 32270 + }, + { + "epoch": 16.75, + "learning_rate": 0.0004853746512955065, + "loss": 1.1212, + "step": 32280 + }, + { + "epoch": 16.76, + "learning_rate": 0.0004850728753193011, + "loss": 1.4466, + "step": 32290 + }, + { + "epoch": 16.76, + "learning_rate": 0.0004847711047854262, + "loss": 1.35, + "step": 32300 + }, + { + "epoch": 16.77, + "learning_rate": 0.00048446933980390595, + "loss": 1.3837, + "step": 32310 + }, + { + "epoch": 16.77, + "learning_rate": 0.0004841675804847612, + "loss": 1.1589, + "step": 32320 + }, + { + "epoch": 16.78, + "learning_rate": 0.0004838658269380121, + "loss": 1.4373, + "step": 32330 + }, + { + "epoch": 16.78, + "learning_rate": 0.0004835640792736754, + "loss": 1.4214, + "step": 32340 + }, + { + "epoch": 16.79, + "learning_rate": 0.0004832623376017665, + "loss": 1.3268, + "step": 32350 + }, + { + "epoch": 16.79, + "learning_rate": 0.0004829606020322986, + "loss": 1.355, + "step": 32360 + }, + { + "epoch": 16.8, + "learning_rate": 0.0004826588726752822, + "loss": 1.137, + "step": 32370 + }, + { + "epoch": 16.8, + "learning_rate": 0.000482357149640726, + "loss": 1.1717, + "step": 32380 + }, + { + "epoch": 16.81, + "learning_rate": 0.0004820554330386363, + "loss": 1.049, + "step": 32390 + }, + { + "epoch": 16.81, + "learning_rate": 0.0004817537229790166, + "loss": 1.2653, + "step": 32400 + }, + { + "epoch": 16.82, + "learning_rate": 0.0004814520195718689, + "loss": 1.2835, + "step": 32410 + }, + { + "epoch": 16.82, + "learning_rate": 0.00048115032292719184, + "loss": 1.1798, + "step": 32420 + }, + { + "epoch": 16.83, + "learning_rate": 0.00048084863315498236, + "loss": 1.4177, + "step": 32430 + }, + { + "epoch": 16.83, + "learning_rate": 0.00048054695036523436, + "loss": 1.4025, + "step": 32440 + }, + { + "epoch": 16.84, + "learning_rate": 0.00048024527466793924, + "loss": 1.2442, + "step": 32450 + }, + { + "epoch": 16.84, + "learning_rate": 0.00047994360617308637, + "loss": 1.3924, + "step": 32460 + }, + { + "epoch": 16.85, + "learning_rate": 0.00047964194499066173, + "loss": 1.4489, + "step": 32470 + }, + { + "epoch": 16.86, + "learning_rate": 0.000479340291230649, + "loss": 1.2625, + "step": 32480 + }, + { + "epoch": 16.86, + "learning_rate": 0.00047903864500302933, + "loss": 1.4133, + "step": 32490 + }, + { + "epoch": 16.87, + "learning_rate": 0.00047873700641778077, + "loss": 1.2657, + "step": 32500 + }, + { + "epoch": 16.87, + "learning_rate": 0.00047843537558487894, + "loss": 1.3567, + "step": 32510 + }, + { + "epoch": 16.88, + "learning_rate": 0.00047813375261429635, + "loss": 1.3176, + "step": 32520 + }, + { + "epoch": 16.88, + "learning_rate": 0.0004778321376160026, + "loss": 1.2704, + "step": 32530 + }, + { + "epoch": 16.89, + "learning_rate": 0.00047753053069996476, + "loss": 1.531, + "step": 32540 + }, + { + "epoch": 16.89, + "learning_rate": 0.0004772289319761465, + "loss": 1.2007, + "step": 32550 + }, + { + "epoch": 16.9, + "learning_rate": 0.0004769273415545089, + "loss": 1.3299, + "step": 32560 + }, + { + "epoch": 16.9, + "learning_rate": 0.00047662575954500973, + "loss": 1.3264, + "step": 32570 + }, + { + "epoch": 16.91, + "learning_rate": 0.00047632418605760376, + "loss": 1.3375, + "step": 32580 + }, + { + "epoch": 16.91, + "learning_rate": 0.00047602262120224285, + "loss": 1.5111, + "step": 32590 + }, + { + "epoch": 16.92, + "learning_rate": 0.00047572106508887545, + "loss": 1.2075, + "step": 32600 + }, + { + "epoch": 16.92, + "learning_rate": 0.0004754195178274467, + "loss": 1.3277, + "step": 32610 + }, + { + "epoch": 16.93, + "learning_rate": 0.0004751179795278992, + "loss": 1.1681, + "step": 32620 + }, + { + "epoch": 16.93, + "learning_rate": 0.00047481645030017126, + "loss": 1.2808, + "step": 32630 + }, + { + "epoch": 16.94, + "learning_rate": 0.000474514930254199, + "loss": 1.2182, + "step": 32640 + }, + { + "epoch": 16.94, + "learning_rate": 0.00047421341949991427, + "loss": 1.3732, + "step": 32650 + }, + { + "epoch": 16.95, + "learning_rate": 0.00047391191814724593, + "loss": 1.3252, + "step": 32660 + }, + { + "epoch": 16.95, + "learning_rate": 0.0004736104263061195, + "loss": 1.2992, + "step": 32670 + }, + { + "epoch": 16.96, + "learning_rate": 0.00047330894408645677, + "loss": 1.3497, + "step": 32680 + }, + { + "epoch": 16.96, + "learning_rate": 0.0004730074715981763, + "loss": 1.2938, + "step": 32690 + }, + { + "epoch": 16.97, + "learning_rate": 0.00047270600895119296, + "loss": 1.2908, + "step": 32700 + }, + { + "epoch": 16.97, + "learning_rate": 0.00047240455625541787, + "loss": 1.313, + "step": 32710 + }, + { + "epoch": 16.98, + "learning_rate": 0.0004721031136207589, + "loss": 1.1201, + "step": 32720 + }, + { + "epoch": 16.98, + "learning_rate": 0.00047180168115711974, + "loss": 1.4221, + "step": 32730 + }, + { + "epoch": 16.99, + "learning_rate": 0.000471500258974401, + "loss": 1.4025, + "step": 32740 + }, + { + "epoch": 17.0, + "learning_rate": 0.00047119884718249916, + "loss": 1.2526, + "step": 32750 + }, + { + "epoch": 17.0, + "eval_accuracy": { + "accuracy": 0.532295719844358 + }, + "eval_f1": { + "f1": 0.5154889606383344 + }, + "eval_loss": 1.1265333890914917, + "eval_precision": { + "precision": 0.5564411969038197 + }, + "eval_recall": { + "recall": 0.5477056677098556 + }, + "eval_runtime": 190.2273, + "eval_samples_per_second": 20.265, + "eval_steps_per_second": 10.135, + "step": 32759 + }, + { + "epoch": 17.0, + "learning_rate": 0.0004708974458913066, + "loss": 1.3072, + "step": 32760 + }, + { + "epoch": 17.01, + "learning_rate": 0.0004705960552107128, + "loss": 1.2928, + "step": 32770 + }, + { + "epoch": 17.01, + "learning_rate": 0.0004702946752506024, + "loss": 1.2815, + "step": 32780 + }, + { + "epoch": 17.02, + "learning_rate": 0.00046999330612085657, + "loss": 1.1255, + "step": 32790 + }, + { + "epoch": 17.02, + "learning_rate": 0.0004696919479313526, + "loss": 1.2747, + "step": 32800 + }, + { + "epoch": 17.03, + "learning_rate": 0.0004693906007919636, + "loss": 1.2441, + "step": 32810 + }, + { + "epoch": 17.03, + "learning_rate": 0.000469089264812559, + "loss": 1.27, + "step": 32820 + }, + { + "epoch": 17.04, + "learning_rate": 0.0004687879401030036, + "loss": 1.3701, + "step": 32830 + }, + { + "epoch": 17.04, + "learning_rate": 0.00046848662677315844, + "loss": 1.4237, + "step": 32840 + }, + { + "epoch": 17.05, + "learning_rate": 0.0004681853249328806, + "loss": 1.1196, + "step": 32850 + }, + { + "epoch": 17.05, + "learning_rate": 0.0004678840346920223, + "loss": 1.512, + "step": 32860 + }, + { + "epoch": 17.06, + "learning_rate": 0.00046758275616043247, + "loss": 1.2568, + "step": 32870 + }, + { + "epoch": 17.06, + "learning_rate": 0.00046728148944795504, + "loss": 1.4645, + "step": 32880 + }, + { + "epoch": 17.07, + "learning_rate": 0.00046698023466442963, + "loss": 1.4739, + "step": 32890 + }, + { + "epoch": 17.07, + "learning_rate": 0.0004666789919196922, + "loss": 1.3387, + "step": 32900 + }, + { + "epoch": 17.08, + "learning_rate": 0.00046637776132357327, + "loss": 1.4404, + "step": 32910 + }, + { + "epoch": 17.08, + "learning_rate": 0.0004660765429859002, + "loss": 1.1821, + "step": 32920 + }, + { + "epoch": 17.09, + "learning_rate": 0.0004657753370164948, + "loss": 1.8769, + "step": 32930 + }, + { + "epoch": 17.09, + "learning_rate": 0.0004654741435251748, + "loss": 1.3142, + "step": 32940 + }, + { + "epoch": 17.1, + "learning_rate": 0.00046517296262175333, + "loss": 1.3418, + "step": 32950 + }, + { + "epoch": 17.1, + "learning_rate": 0.0004648717944160391, + "loss": 1.2576, + "step": 32960 + }, + { + "epoch": 17.11, + "learning_rate": 0.0004645706390178358, + "loss": 1.2876, + "step": 32970 + }, + { + "epoch": 17.11, + "learning_rate": 0.000464269496536943, + "loss": 1.3905, + "step": 32980 + }, + { + "epoch": 17.12, + "learning_rate": 0.00046396836708315493, + "loss": 1.3649, + "step": 32990 + }, + { + "epoch": 17.13, + "learning_rate": 0.0004636672507662617, + "loss": 1.3245, + "step": 33000 + }, + { + "epoch": 17.13, + "learning_rate": 0.00046336614769604837, + "loss": 1.4106, + "step": 33010 + }, + { + "epoch": 17.14, + "learning_rate": 0.0004630650579822945, + "loss": 1.276, + "step": 33020 + }, + { + "epoch": 17.14, + "learning_rate": 0.00046276398173477625, + "loss": 1.1453, + "step": 33030 + }, + { + "epoch": 17.15, + "learning_rate": 0.0004624629190632633, + "loss": 1.2115, + "step": 33040 + }, + { + "epoch": 17.15, + "learning_rate": 0.0004621618700775217, + "loss": 1.1263, + "step": 33050 + }, + { + "epoch": 17.16, + "learning_rate": 0.00046186083488731155, + "loss": 1.414, + "step": 33060 + }, + { + "epoch": 17.16, + "learning_rate": 0.0004615598136023883, + "loss": 1.1799, + "step": 33070 + }, + { + "epoch": 17.17, + "learning_rate": 0.0004612588063325025, + "loss": 1.279, + "step": 33080 + }, + { + "epoch": 17.17, + "learning_rate": 0.00046095781318739927, + "loss": 1.2359, + "step": 33090 + }, + { + "epoch": 17.18, + "learning_rate": 0.0004606568342768187, + "loss": 1.3484, + "step": 33100 + }, + { + "epoch": 17.18, + "learning_rate": 0.00046035586971049586, + "loss": 1.4379, + "step": 33110 + }, + { + "epoch": 17.19, + "learning_rate": 0.0004600549195981602, + "loss": 1.4189, + "step": 33120 + }, + { + "epoch": 17.19, + "learning_rate": 0.0004597539840495364, + "loss": 1.2899, + "step": 33130 + }, + { + "epoch": 17.2, + "learning_rate": 0.00045945306317434354, + "loss": 1.4371, + "step": 33140 + }, + { + "epoch": 17.2, + "learning_rate": 0.00045915215708229503, + "loss": 1.4694, + "step": 33150 + }, + { + "epoch": 17.21, + "learning_rate": 0.00045885126588309975, + "loss": 1.2922, + "step": 33160 + }, + { + "epoch": 17.21, + "learning_rate": 0.00045855038968646, + "loss": 1.4085, + "step": 33170 + }, + { + "epoch": 17.22, + "learning_rate": 0.00045824952860207404, + "loss": 1.347, + "step": 33180 + }, + { + "epoch": 17.22, + "learning_rate": 0.0004579486827396333, + "loss": 1.381, + "step": 33190 + }, + { + "epoch": 17.23, + "learning_rate": 0.00045764785220882417, + "loss": 1.5498, + "step": 33200 + }, + { + "epoch": 17.23, + "learning_rate": 0.00045734703711932767, + "loss": 1.2068, + "step": 33210 + }, + { + "epoch": 17.24, + "learning_rate": 0.00045704623758081886, + "loss": 1.2963, + "step": 33220 + }, + { + "epoch": 17.24, + "learning_rate": 0.00045674545370296744, + "loss": 1.1968, + "step": 33230 + }, + { + "epoch": 17.25, + "learning_rate": 0.0004564446855954371, + "loss": 1.4504, + "step": 33240 + }, + { + "epoch": 17.25, + "learning_rate": 0.0004561439333678858, + "loss": 1.4101, + "step": 33250 + }, + { + "epoch": 17.26, + "learning_rate": 0.000455843197129966, + "loss": 1.2781, + "step": 33260 + }, + { + "epoch": 17.27, + "learning_rate": 0.000455542476991324, + "loss": 1.3239, + "step": 33270 + }, + { + "epoch": 17.27, + "learning_rate": 0.00045524177306160036, + "loss": 1.1776, + "step": 33280 + }, + { + "epoch": 17.28, + "learning_rate": 0.0004549410854504299, + "loss": 1.3882, + "step": 33290 + }, + { + "epoch": 17.28, + "learning_rate": 0.0004546404142674412, + "loss": 1.3576, + "step": 33300 + }, + { + "epoch": 17.29, + "learning_rate": 0.000454339759622257, + "loss": 1.1007, + "step": 33310 + }, + { + "epoch": 17.29, + "learning_rate": 0.00045403912162449416, + "loss": 1.3416, + "step": 33320 + }, + { + "epoch": 17.3, + "learning_rate": 0.0004537385003837629, + "loss": 1.2438, + "step": 33330 + }, + { + "epoch": 17.3, + "learning_rate": 0.0004534378960096682, + "loss": 1.3082, + "step": 33340 + }, + { + "epoch": 17.31, + "learning_rate": 0.000453137308611808, + "loss": 1.1539, + "step": 33350 + }, + { + "epoch": 17.31, + "learning_rate": 0.0004528367382997749, + "loss": 1.1055, + "step": 33360 + }, + { + "epoch": 17.32, + "learning_rate": 0.00045253618518315453, + "loss": 1.3305, + "step": 33370 + }, + { + "epoch": 17.32, + "learning_rate": 0.0004522356493715266, + "loss": 1.317, + "step": 33380 + }, + { + "epoch": 17.33, + "learning_rate": 0.00045193513097446466, + "loss": 1.3217, + "step": 33390 + }, + { + "epoch": 17.33, + "learning_rate": 0.0004516346301015354, + "loss": 1.4124, + "step": 33400 + }, + { + "epoch": 17.34, + "learning_rate": 0.0004513341468622999, + "loss": 1.4669, + "step": 33410 + }, + { + "epoch": 17.34, + "learning_rate": 0.00045103368136631205, + "loss": 1.2534, + "step": 33420 + }, + { + "epoch": 17.35, + "learning_rate": 0.0004507332337231195, + "loss": 1.3457, + "step": 33430 + }, + { + "epoch": 17.35, + "learning_rate": 0.00045043280404226377, + "loss": 1.5724, + "step": 33440 + }, + { + "epoch": 17.36, + "learning_rate": 0.00045013239243327945, + "loss": 1.439, + "step": 33450 + }, + { + "epoch": 17.36, + "learning_rate": 0.00044983199900569423, + "loss": 1.544, + "step": 33460 + }, + { + "epoch": 17.37, + "learning_rate": 0.00044953162386903025, + "loss": 1.3212, + "step": 33470 + }, + { + "epoch": 17.37, + "learning_rate": 0.0004492312671328015, + "loss": 1.3035, + "step": 33480 + }, + { + "epoch": 17.38, + "learning_rate": 0.00044893092890651686, + "loss": 1.0139, + "step": 33490 + }, + { + "epoch": 17.38, + "learning_rate": 0.0004486306092996773, + "loss": 1.2701, + "step": 33500 + }, + { + "epoch": 17.39, + "learning_rate": 0.00044833030842177704, + "loss": 1.3412, + "step": 33510 + }, + { + "epoch": 17.39, + "learning_rate": 0.0004480300263823043, + "loss": 1.0816, + "step": 33520 + }, + { + "epoch": 17.4, + "learning_rate": 0.00044772976329073954, + "loss": 1.3172, + "step": 33530 + }, + { + "epoch": 17.41, + "learning_rate": 0.0004474295192565571, + "loss": 1.4898, + "step": 33540 + }, + { + "epoch": 17.41, + "learning_rate": 0.00044712929438922355, + "loss": 1.4747, + "step": 33550 + }, + { + "epoch": 17.42, + "learning_rate": 0.0004468290887981991, + "loss": 1.3322, + "step": 33560 + }, + { + "epoch": 17.42, + "learning_rate": 0.00044652890259293677, + "loss": 1.1698, + "step": 33570 + }, + { + "epoch": 17.43, + "learning_rate": 0.0004462287358828825, + "loss": 1.1561, + "step": 33580 + }, + { + "epoch": 17.43, + "learning_rate": 0.00044592858877747464, + "loss": 1.1885, + "step": 33590 + }, + { + "epoch": 17.44, + "learning_rate": 0.0004456284613861455, + "loss": 1.4391, + "step": 33600 + }, + { + "epoch": 17.44, + "learning_rate": 0.00044532835381831887, + "loss": 1.7141, + "step": 33610 + }, + { + "epoch": 17.45, + "learning_rate": 0.00044502826618341264, + "loss": 1.4475, + "step": 33620 + }, + { + "epoch": 17.45, + "learning_rate": 0.00044472819859083635, + "loss": 1.2546, + "step": 33630 + }, + { + "epoch": 17.46, + "learning_rate": 0.0004444281511499926, + "loss": 1.1711, + "step": 33640 + }, + { + "epoch": 17.46, + "learning_rate": 0.00044412812397027704, + "loss": 1.248, + "step": 33650 + }, + { + "epoch": 17.47, + "learning_rate": 0.00044382811716107723, + "loss": 1.363, + "step": 33660 + }, + { + "epoch": 17.47, + "learning_rate": 0.000443528130831774, + "loss": 1.3491, + "step": 33670 + }, + { + "epoch": 17.48, + "learning_rate": 0.00044322816509174024, + "loss": 1.2969, + "step": 33680 + }, + { + "epoch": 17.48, + "learning_rate": 0.0004429282200503413, + "loss": 1.2357, + "step": 33690 + }, + { + "epoch": 17.49, + "learning_rate": 0.0004426282958169355, + "loss": 1.1101, + "step": 33700 + }, + { + "epoch": 17.49, + "learning_rate": 0.0004423283925008728, + "loss": 1.2007, + "step": 33710 + }, + { + "epoch": 17.5, + "learning_rate": 0.00044202851021149644, + "loss": 1.4982, + "step": 33720 + }, + { + "epoch": 17.5, + "learning_rate": 0.0004417286490581413, + "loss": 1.3533, + "step": 33730 + }, + { + "epoch": 17.51, + "learning_rate": 0.00044142880915013443, + "loss": 1.1156, + "step": 33740 + }, + { + "epoch": 17.51, + "learning_rate": 0.00044112899059679616, + "loss": 1.4041, + "step": 33750 + }, + { + "epoch": 17.52, + "learning_rate": 0.0004408291935074379, + "loss": 1.3639, + "step": 33760 + }, + { + "epoch": 17.52, + "learning_rate": 0.0004405294179913636, + "loss": 1.1678, + "step": 33770 + }, + { + "epoch": 17.53, + "learning_rate": 0.0004402296641578697, + "loss": 1.0913, + "step": 33780 + }, + { + "epoch": 17.54, + "learning_rate": 0.00043992993211624425, + "loss": 1.1865, + "step": 33790 + }, + { + "epoch": 17.54, + "learning_rate": 0.0004396302219757678, + "loss": 1.291, + "step": 33800 + }, + { + "epoch": 17.55, + "learning_rate": 0.0004393305338457126, + "loss": 1.314, + "step": 33810 + }, + { + "epoch": 17.55, + "learning_rate": 0.00043903086783534274, + "loss": 1.2264, + "step": 33820 + }, + { + "epoch": 17.56, + "learning_rate": 0.00043873122405391473, + "loss": 1.3849, + "step": 33830 + }, + { + "epoch": 17.56, + "learning_rate": 0.00043843160261067656, + "loss": 1.43, + "step": 33840 + }, + { + "epoch": 17.57, + "learning_rate": 0.0004381320036148683, + "loss": 1.2667, + "step": 33850 + }, + { + "epoch": 17.57, + "learning_rate": 0.0004378324271757219, + "loss": 1.3175, + "step": 33860 + }, + { + "epoch": 17.58, + "learning_rate": 0.00043753287340246046, + "loss": 1.2426, + "step": 33870 + }, + { + "epoch": 17.58, + "learning_rate": 0.00043723334240429993, + "loss": 1.3312, + "step": 33880 + }, + { + "epoch": 17.59, + "learning_rate": 0.0004369338342904467, + "loss": 1.3243, + "step": 33890 + }, + { + "epoch": 17.59, + "learning_rate": 0.00043663434917010015, + "loss": 1.281, + "step": 33900 + }, + { + "epoch": 17.6, + "learning_rate": 0.00043633488715244995, + "loss": 1.1786, + "step": 33910 + }, + { + "epoch": 17.6, + "learning_rate": 0.0004360354483466782, + "loss": 1.1661, + "step": 33920 + }, + { + "epoch": 17.61, + "learning_rate": 0.0004357360328619584, + "loss": 1.3953, + "step": 33930 + }, + { + "epoch": 17.61, + "learning_rate": 0.0004354366408074553, + "loss": 1.1139, + "step": 33940 + }, + { + "epoch": 17.62, + "learning_rate": 0.0004351372722923253, + "loss": 1.4813, + "step": 33950 + }, + { + "epoch": 17.62, + "learning_rate": 0.0004348379274257163, + "loss": 1.2341, + "step": 33960 + }, + { + "epoch": 17.63, + "learning_rate": 0.0004345386063167672, + "loss": 1.3576, + "step": 33970 + }, + { + "epoch": 17.63, + "learning_rate": 0.00043423930907460873, + "loss": 1.3797, + "step": 33980 + }, + { + "epoch": 17.64, + "learning_rate": 0.0004339400358083627, + "loss": 1.3352, + "step": 33990 + }, + { + "epoch": 17.64, + "learning_rate": 0.00043364078662714184, + "loss": 1.1802, + "step": 34000 + }, + { + "epoch": 17.65, + "learning_rate": 0.00043334156164005083, + "loss": 1.4299, + "step": 34010 + }, + { + "epoch": 17.65, + "learning_rate": 0.0004330423609561848, + "loss": 1.3838, + "step": 34020 + }, + { + "epoch": 17.66, + "learning_rate": 0.00043274318468463057, + "loss": 1.2414, + "step": 34030 + }, + { + "epoch": 17.66, + "learning_rate": 0.00043244403293446585, + "loss": 1.4269, + "step": 34040 + }, + { + "epoch": 17.67, + "learning_rate": 0.0004321449058147589, + "loss": 1.3718, + "step": 34050 + }, + { + "epoch": 17.68, + "learning_rate": 0.0004318458034345702, + "loss": 1.3573, + "step": 34060 + }, + { + "epoch": 17.68, + "learning_rate": 0.00043154672590295005, + "loss": 1.4109, + "step": 34070 + }, + { + "epoch": 17.69, + "learning_rate": 0.00043124767332894013, + "loss": 1.2255, + "step": 34080 + }, + { + "epoch": 17.69, + "learning_rate": 0.0004309486458215731, + "loss": 1.2714, + "step": 34090 + }, + { + "epoch": 17.7, + "learning_rate": 0.00043064964348987246, + "loss": 1.2782, + "step": 34100 + }, + { + "epoch": 17.7, + "learning_rate": 0.0004303506664428526, + "loss": 1.3067, + "step": 34110 + }, + { + "epoch": 17.71, + "learning_rate": 0.0004300517147895183, + "loss": 1.2769, + "step": 34120 + }, + { + "epoch": 17.71, + "learning_rate": 0.00042975278863886546, + "loss": 1.2583, + "step": 34130 + }, + { + "epoch": 17.72, + "learning_rate": 0.00042945388809988074, + "loss": 1.1077, + "step": 34140 + }, + { + "epoch": 17.72, + "learning_rate": 0.0004291550132815409, + "loss": 1.3682, + "step": 34150 + }, + { + "epoch": 17.73, + "learning_rate": 0.0004288561642928142, + "loss": 1.3351, + "step": 34160 + }, + { + "epoch": 17.73, + "learning_rate": 0.0004285573412426589, + "loss": 1.2713, + "step": 34170 + }, + { + "epoch": 17.74, + "learning_rate": 0.0004282585442400234, + "loss": 1.2615, + "step": 34180 + }, + { + "epoch": 17.74, + "learning_rate": 0.00042795977339384777, + "loss": 1.2001, + "step": 34190 + }, + { + "epoch": 17.75, + "learning_rate": 0.00042766102881306134, + "loss": 1.2469, + "step": 34200 + }, + { + "epoch": 17.75, + "learning_rate": 0.0004273623106065849, + "loss": 1.2205, + "step": 34210 + }, + { + "epoch": 17.76, + "learning_rate": 0.0004270636188833289, + "loss": 1.5071, + "step": 34220 + }, + { + "epoch": 17.76, + "learning_rate": 0.0004267649537521942, + "loss": 1.451, + "step": 34230 + }, + { + "epoch": 17.77, + "learning_rate": 0.00042646631532207235, + "loss": 1.1487, + "step": 34240 + }, + { + "epoch": 17.77, + "learning_rate": 0.000426167703701845, + "loss": 1.3217, + "step": 34250 + }, + { + "epoch": 17.78, + "learning_rate": 0.0004258691190003836, + "loss": 1.2258, + "step": 34260 + }, + { + "epoch": 17.78, + "learning_rate": 0.00042557056132655057, + "loss": 1.2706, + "step": 34270 + }, + { + "epoch": 17.79, + "learning_rate": 0.0004252720307891978, + "loss": 1.7372, + "step": 34280 + }, + { + "epoch": 17.79, + "learning_rate": 0.00042497352749716773, + "loss": 1.1559, + "step": 34290 + }, + { + "epoch": 17.8, + "learning_rate": 0.0004246750515592927, + "loss": 1.3996, + "step": 34300 + }, + { + "epoch": 17.8, + "learning_rate": 0.0004243766030843946, + "loss": 1.2233, + "step": 34310 + }, + { + "epoch": 17.81, + "learning_rate": 0.0004240781821812865, + "loss": 1.2468, + "step": 34320 + }, + { + "epoch": 17.82, + "learning_rate": 0.0004237797889587699, + "loss": 1.286, + "step": 34330 + }, + { + "epoch": 17.82, + "learning_rate": 0.0004234814235256378, + "loss": 1.3083, + "step": 34340 + }, + { + "epoch": 17.83, + "learning_rate": 0.00042318308599067166, + "loss": 1.3836, + "step": 34350 + }, + { + "epoch": 17.83, + "learning_rate": 0.0004228847764626436, + "loss": 1.5828, + "step": 34360 + }, + { + "epoch": 17.84, + "learning_rate": 0.0004225864950503152, + "loss": 1.259, + "step": 34370 + }, + { + "epoch": 17.84, + "learning_rate": 0.00042228824186243795, + "loss": 1.249, + "step": 34380 + }, + { + "epoch": 17.85, + "learning_rate": 0.0004219900170077531, + "loss": 1.369, + "step": 34390 + }, + { + "epoch": 17.85, + "learning_rate": 0.0004216918205949913, + "loss": 1.2843, + "step": 34400 + }, + { + "epoch": 17.86, + "learning_rate": 0.00042139365273287296, + "loss": 1.3679, + "step": 34410 + }, + { + "epoch": 17.86, + "learning_rate": 0.0004210955135301082, + "loss": 1.1884, + "step": 34420 + }, + { + "epoch": 17.87, + "learning_rate": 0.00042079740309539684, + "loss": 1.3216, + "step": 34430 + }, + { + "epoch": 17.87, + "learning_rate": 0.0004204993215374273, + "loss": 1.3334, + "step": 34440 + }, + { + "epoch": 17.88, + "learning_rate": 0.0004202012689648789, + "loss": 1.2871, + "step": 34450 + }, + { + "epoch": 17.88, + "learning_rate": 0.0004199032454864189, + "loss": 1.2873, + "step": 34460 + }, + { + "epoch": 17.89, + "learning_rate": 0.0004196052512107054, + "loss": 1.3029, + "step": 34470 + }, + { + "epoch": 17.89, + "learning_rate": 0.0004193072862463847, + "loss": 1.2683, + "step": 34480 + }, + { + "epoch": 17.9, + "learning_rate": 0.0004190093507020929, + "loss": 1.3812, + "step": 34490 + }, + { + "epoch": 17.9, + "learning_rate": 0.0004187114446864555, + "loss": 1.1789, + "step": 34500 + }, + { + "epoch": 17.91, + "learning_rate": 0.0004184135683080868, + "loss": 1.3416, + "step": 34510 + }, + { + "epoch": 17.91, + "learning_rate": 0.0004181157216755908, + "loss": 1.3188, + "step": 34520 + }, + { + "epoch": 17.92, + "learning_rate": 0.0004178179048975603, + "loss": 1.3811, + "step": 34530 + }, + { + "epoch": 17.92, + "learning_rate": 0.0004175201180825773, + "loss": 1.2802, + "step": 34540 + }, + { + "epoch": 17.93, + "learning_rate": 0.00041722236133921297, + "loss": 1.3054, + "step": 34550 + }, + { + "epoch": 17.93, + "learning_rate": 0.00041692463477602747, + "loss": 1.2783, + "step": 34560 + }, + { + "epoch": 17.94, + "learning_rate": 0.0004166269385015697, + "loss": 1.3791, + "step": 34570 + }, + { + "epoch": 17.94, + "learning_rate": 0.00041632927262437816, + "loss": 1.1963, + "step": 34580 + }, + { + "epoch": 17.95, + "learning_rate": 0.0004160316372529794, + "loss": 1.1996, + "step": 34590 + }, + { + "epoch": 17.96, + "learning_rate": 0.00041573403249588984, + "loss": 1.3441, + "step": 34600 + }, + { + "epoch": 17.96, + "learning_rate": 0.00041543645846161366, + "loss": 1.1905, + "step": 34610 + }, + { + "epoch": 17.97, + "learning_rate": 0.00041513891525864454, + "loss": 1.2577, + "step": 34620 + }, + { + "epoch": 17.97, + "learning_rate": 0.000414841402995465, + "loss": 1.2258, + "step": 34630 + }, + { + "epoch": 17.98, + "learning_rate": 0.00041454392178054574, + "loss": 1.2097, + "step": 34640 + }, + { + "epoch": 17.98, + "learning_rate": 0.00041424647172234663, + "loss": 1.3121, + "step": 34650 + }, + { + "epoch": 17.99, + "learning_rate": 0.00041394905292931603, + "loss": 1.1876, + "step": 34660 + }, + { + "epoch": 17.99, + "learning_rate": 0.0004136516655098906, + "loss": 1.2824, + "step": 34670 + }, + { + "epoch": 18.0, + "learning_rate": 0.0004133543095724961, + "loss": 1.3673, + "step": 34680 + }, + { + "epoch": 18.0, + "eval_accuracy": { + "accuracy": 0.5553826199740597 + }, + "eval_f1": { + "f1": 0.5594361896393714 + }, + "eval_loss": 1.0845227241516113, + "eval_precision": { + "precision": 0.5621230845137732 + }, + "eval_recall": { + "recall": 0.5721227129539878 + }, + "eval_runtime": 179.9876, + "eval_samples_per_second": 21.418, + "eval_steps_per_second": 10.712, + "step": 34686 + }, + { + "epoch": 18.0, + "learning_rate": 0.00041305698522554635, + "loss": 1.1621, + "step": 34690 + }, + { + "epoch": 18.01, + "learning_rate": 0.00041275969257744397, + "loss": 1.1116, + "step": 34700 + }, + { + "epoch": 18.01, + "learning_rate": 0.00041246243173657986, + "loss": 1.2467, + "step": 34710 + }, + { + "epoch": 18.02, + "learning_rate": 0.00041216520281133325, + "loss": 1.1756, + "step": 34720 + }, + { + "epoch": 18.02, + "learning_rate": 0.000411868005910072, + "loss": 1.0914, + "step": 34730 + }, + { + "epoch": 18.03, + "learning_rate": 0.0004115708411411521, + "loss": 1.2702, + "step": 34740 + }, + { + "epoch": 18.03, + "learning_rate": 0.00041127370861291756, + "loss": 1.3949, + "step": 34750 + }, + { + "epoch": 18.04, + "learning_rate": 0.00041097660843370144, + "loss": 1.1813, + "step": 34760 + }, + { + "epoch": 18.04, + "learning_rate": 0.00041067954071182395, + "loss": 1.3767, + "step": 34770 + }, + { + "epoch": 18.05, + "learning_rate": 0.00041038250555559466, + "loss": 1.0969, + "step": 34780 + }, + { + "epoch": 18.05, + "learning_rate": 0.00041008550307331003, + "loss": 1.3206, + "step": 34790 + }, + { + "epoch": 18.06, + "learning_rate": 0.0004097885333732554, + "loss": 1.4119, + "step": 34800 + }, + { + "epoch": 18.06, + "learning_rate": 0.0004094915965637041, + "loss": 1.4198, + "step": 34810 + }, + { + "epoch": 18.07, + "learning_rate": 0.0004091946927529171, + "loss": 1.3672, + "step": 34820 + }, + { + "epoch": 18.07, + "learning_rate": 0.00040889782204914373, + "loss": 1.3114, + "step": 34830 + }, + { + "epoch": 18.08, + "learning_rate": 0.000408600984560621, + "loss": 1.5056, + "step": 34840 + }, + { + "epoch": 18.09, + "learning_rate": 0.00040830418039557387, + "loss": 1.2495, + "step": 34850 + }, + { + "epoch": 18.09, + "learning_rate": 0.0004080074096622153, + "loss": 1.0847, + "step": 34860 + }, + { + "epoch": 18.1, + "learning_rate": 0.0004077106724687457, + "loss": 1.0688, + "step": 34870 + }, + { + "epoch": 18.1, + "learning_rate": 0.0004074139689233538, + "loss": 1.2333, + "step": 34880 + }, + { + "epoch": 18.11, + "learning_rate": 0.00040711729913421563, + "loss": 1.4418, + "step": 34890 + }, + { + "epoch": 18.11, + "learning_rate": 0.0004068206632094947, + "loss": 1.3232, + "step": 34900 + }, + { + "epoch": 18.12, + "learning_rate": 0.00040652406125734307, + "loss": 1.2772, + "step": 34910 + }, + { + "epoch": 18.12, + "learning_rate": 0.00040622749338589946, + "loss": 1.3507, + "step": 34920 + }, + { + "epoch": 18.13, + "learning_rate": 0.0004059309597032906, + "loss": 1.132, + "step": 34930 + }, + { + "epoch": 18.13, + "learning_rate": 0.00040563446031763084, + "loss": 1.2173, + "step": 34940 + }, + { + "epoch": 18.14, + "learning_rate": 0.0004053379953370217, + "loss": 1.2749, + "step": 34950 + }, + { + "epoch": 18.14, + "learning_rate": 0.0004050415648695526, + "loss": 1.1855, + "step": 34960 + }, + { + "epoch": 18.15, + "learning_rate": 0.00040474516902329994, + "loss": 1.3556, + "step": 34970 + }, + { + "epoch": 18.15, + "learning_rate": 0.0004044488079063276, + "loss": 1.2579, + "step": 34980 + }, + { + "epoch": 18.16, + "learning_rate": 0.00040415248162668717, + "loss": 1.2194, + "step": 34990 + }, + { + "epoch": 18.16, + "learning_rate": 0.00040385619029241693, + "loss": 1.3279, + "step": 35000 + }, + { + "epoch": 18.17, + "learning_rate": 0.000403559934011543, + "loss": 1.2924, + "step": 35010 + }, + { + "epoch": 18.17, + "learning_rate": 0.00040326371289207854, + "loss": 1.184, + "step": 35020 + }, + { + "epoch": 18.18, + "learning_rate": 0.0004029675270420232, + "loss": 1.2529, + "step": 35030 + }, + { + "epoch": 18.18, + "learning_rate": 0.0004026713765693652, + "loss": 1.197, + "step": 35040 + }, + { + "epoch": 18.19, + "learning_rate": 0.0004023752615820785, + "loss": 1.4416, + "step": 35050 + }, + { + "epoch": 18.19, + "learning_rate": 0.0004020791821881247, + "loss": 1.2365, + "step": 35060 + }, + { + "epoch": 18.2, + "learning_rate": 0.0004017831384954526, + "loss": 1.2452, + "step": 35070 + }, + { + "epoch": 18.2, + "learning_rate": 0.00040148713061199747, + "loss": 1.2745, + "step": 35080 + }, + { + "epoch": 18.21, + "learning_rate": 0.0004011911586456822, + "loss": 1.2988, + "step": 35090 + }, + { + "epoch": 18.21, + "learning_rate": 0.000400895222704416, + "loss": 1.2941, + "step": 35100 + }, + { + "epoch": 18.22, + "learning_rate": 0.00040059932289609513, + "loss": 1.2082, + "step": 35110 + }, + { + "epoch": 18.23, + "learning_rate": 0.0004003034593286028, + "loss": 1.1569, + "step": 35120 + }, + { + "epoch": 18.23, + "learning_rate": 0.00040000763210980874, + "loss": 1.2027, + "step": 35130 + }, + { + "epoch": 18.24, + "learning_rate": 0.0003997118413475698, + "loss": 1.3531, + "step": 35140 + }, + { + "epoch": 18.24, + "learning_rate": 0.0003994160871497294, + "loss": 1.3077, + "step": 35150 + }, + { + "epoch": 18.25, + "learning_rate": 0.000399120369624117, + "loss": 1.5495, + "step": 35160 + }, + { + "epoch": 18.25, + "learning_rate": 0.00039882468887855006, + "loss": 1.2649, + "step": 35170 + }, + { + "epoch": 18.26, + "learning_rate": 0.00039852904502083104, + "loss": 1.133, + "step": 35180 + }, + { + "epoch": 18.26, + "learning_rate": 0.00039823343815875045, + "loss": 1.1089, + "step": 35190 + }, + { + "epoch": 18.27, + "learning_rate": 0.00039793786840008416, + "loss": 1.3199, + "step": 35200 + }, + { + "epoch": 18.27, + "learning_rate": 0.0003976423358525949, + "loss": 1.2802, + "step": 35210 + }, + { + "epoch": 18.28, + "learning_rate": 0.0003973468406240321, + "loss": 1.4159, + "step": 35220 + }, + { + "epoch": 18.28, + "learning_rate": 0.0003970513828221313, + "loss": 1.1331, + "step": 35230 + }, + { + "epoch": 18.29, + "learning_rate": 0.00039675596255461435, + "loss": 1.3066, + "step": 35240 + }, + { + "epoch": 18.29, + "learning_rate": 0.0003964605799291897, + "loss": 1.1429, + "step": 35250 + }, + { + "epoch": 18.3, + "learning_rate": 0.0003961652350535517, + "loss": 1.1558, + "step": 35260 + }, + { + "epoch": 18.3, + "learning_rate": 0.00039586992803538137, + "loss": 1.3597, + "step": 35270 + }, + { + "epoch": 18.31, + "learning_rate": 0.0003955746589823455, + "loss": 1.2347, + "step": 35280 + }, + { + "epoch": 18.31, + "learning_rate": 0.00039527942800209726, + "loss": 1.3914, + "step": 35290 + }, + { + "epoch": 18.32, + "learning_rate": 0.000394984235202276, + "loss": 1.2175, + "step": 35300 + }, + { + "epoch": 18.32, + "learning_rate": 0.0003946890806905069, + "loss": 1.2971, + "step": 35310 + }, + { + "epoch": 18.33, + "learning_rate": 0.0003943939645744017, + "loss": 1.2145, + "step": 35320 + }, + { + "epoch": 18.33, + "learning_rate": 0.00039409888696155743, + "loss": 1.3394, + "step": 35330 + }, + { + "epoch": 18.34, + "learning_rate": 0.00039380384795955736, + "loss": 1.2953, + "step": 35340 + }, + { + "epoch": 18.34, + "learning_rate": 0.0003935088476759711, + "loss": 0.9967, + "step": 35350 + }, + { + "epoch": 18.35, + "learning_rate": 0.00039321388621835353, + "loss": 1.1092, + "step": 35360 + }, + { + "epoch": 18.35, + "learning_rate": 0.0003929189636942458, + "loss": 1.4514, + "step": 35370 + }, + { + "epoch": 18.36, + "learning_rate": 0.0003926240802111746, + "loss": 1.3606, + "step": 35380 + }, + { + "epoch": 18.37, + "learning_rate": 0.00039232923587665254, + "loss": 1.325, + "step": 35390 + }, + { + "epoch": 18.37, + "learning_rate": 0.000392034430798178, + "loss": 1.0505, + "step": 35400 + }, + { + "epoch": 18.38, + "learning_rate": 0.00039173966508323485, + "loss": 1.4851, + "step": 35410 + }, + { + "epoch": 18.38, + "learning_rate": 0.0003914449388392926, + "loss": 1.2219, + "step": 35420 + }, + { + "epoch": 18.39, + "learning_rate": 0.0003911502521738068, + "loss": 1.4181, + "step": 35430 + }, + { + "epoch": 18.39, + "learning_rate": 0.00039085560519421794, + "loss": 1.1061, + "step": 35440 + }, + { + "epoch": 18.4, + "learning_rate": 0.0003905609980079526, + "loss": 1.248, + "step": 35450 + }, + { + "epoch": 18.4, + "learning_rate": 0.00039026643072242263, + "loss": 1.1194, + "step": 35460 + }, + { + "epoch": 18.41, + "learning_rate": 0.00038997190344502487, + "loss": 1.37, + "step": 35470 + }, + { + "epoch": 18.41, + "learning_rate": 0.00038967741628314267, + "loss": 1.3905, + "step": 35480 + }, + { + "epoch": 18.42, + "learning_rate": 0.0003893829693441434, + "loss": 1.1066, + "step": 35490 + }, + { + "epoch": 18.42, + "learning_rate": 0.0003890885627353812, + "loss": 1.4736, + "step": 35500 + }, + { + "epoch": 18.43, + "learning_rate": 0.0003887941965641943, + "loss": 1.2751, + "step": 35510 + }, + { + "epoch": 18.43, + "learning_rate": 0.00038849987093790664, + "loss": 1.2882, + "step": 35520 + }, + { + "epoch": 18.44, + "learning_rate": 0.00038820558596382756, + "loss": 1.2649, + "step": 35530 + }, + { + "epoch": 18.44, + "learning_rate": 0.00038791134174925135, + "loss": 1.0624, + "step": 35540 + }, + { + "epoch": 18.45, + "learning_rate": 0.00038761713840145743, + "loss": 1.2262, + "step": 35550 + }, + { + "epoch": 18.45, + "learning_rate": 0.00038732297602771064, + "loss": 1.2645, + "step": 35560 + }, + { + "epoch": 18.46, + "learning_rate": 0.00038702885473526036, + "loss": 1.4366, + "step": 35570 + }, + { + "epoch": 18.46, + "learning_rate": 0.0003867347746313414, + "loss": 1.2932, + "step": 35580 + }, + { + "epoch": 18.47, + "learning_rate": 0.00038644073582317354, + "loss": 1.0602, + "step": 35590 + }, + { + "epoch": 18.47, + "learning_rate": 0.00038614673841796086, + "loss": 1.2689, + "step": 35600 + }, + { + "epoch": 18.48, + "learning_rate": 0.00038585278252289366, + "loss": 1.2157, + "step": 35610 + }, + { + "epoch": 18.48, + "learning_rate": 0.00038555886824514547, + "loss": 1.1997, + "step": 35620 + }, + { + "epoch": 18.49, + "learning_rate": 0.0003852649956918763, + "loss": 1.3589, + "step": 35630 + }, + { + "epoch": 18.5, + "learning_rate": 0.0003849711649702296, + "loss": 1.2771, + "step": 35640 + }, + { + "epoch": 18.5, + "learning_rate": 0.0003846773761873341, + "loss": 1.2148, + "step": 35650 + }, + { + "epoch": 18.51, + "learning_rate": 0.0003843836294503036, + "loss": 1.2696, + "step": 35660 + }, + { + "epoch": 18.51, + "learning_rate": 0.00038408992486623584, + "loss": 1.2066, + "step": 35670 + }, + { + "epoch": 18.52, + "learning_rate": 0.0003837962625422139, + "loss": 1.2548, + "step": 35680 + }, + { + "epoch": 18.52, + "learning_rate": 0.0003835026425853049, + "loss": 1.2661, + "step": 35690 + }, + { + "epoch": 18.53, + "learning_rate": 0.0003832090651025607, + "loss": 1.2982, + "step": 35700 + }, + { + "epoch": 18.53, + "learning_rate": 0.00038291553020101786, + "loss": 1.357, + "step": 35710 + }, + { + "epoch": 18.54, + "learning_rate": 0.00038262203798769735, + "loss": 1.2948, + "step": 35720 + }, + { + "epoch": 18.54, + "learning_rate": 0.000382328588569604, + "loss": 1.1903, + "step": 35730 + }, + { + "epoch": 18.55, + "learning_rate": 0.0003820351820537282, + "loss": 1.1776, + "step": 35740 + }, + { + "epoch": 18.55, + "learning_rate": 0.00038174181854704325, + "loss": 1.3431, + "step": 35750 + }, + { + "epoch": 18.56, + "learning_rate": 0.0003814484981565084, + "loss": 1.3489, + "step": 35760 + }, + { + "epoch": 18.56, + "learning_rate": 0.00038115522098906574, + "loss": 1.149, + "step": 35770 + }, + { + "epoch": 18.57, + "learning_rate": 0.00038086198715164225, + "loss": 1.3054, + "step": 35780 + }, + { + "epoch": 18.57, + "learning_rate": 0.0003805687967511491, + "loss": 1.2456, + "step": 35790 + }, + { + "epoch": 18.58, + "learning_rate": 0.0003802756498944816, + "loss": 1.5201, + "step": 35800 + }, + { + "epoch": 18.58, + "learning_rate": 0.0003799825466885193, + "loss": 1.3203, + "step": 35810 + }, + { + "epoch": 18.59, + "learning_rate": 0.0003796894872401254, + "loss": 1.1953, + "step": 35820 + }, + { + "epoch": 18.59, + "learning_rate": 0.0003793964716561476, + "loss": 1.3314, + "step": 35830 + }, + { + "epoch": 18.6, + "learning_rate": 0.0003791035000434174, + "loss": 1.1225, + "step": 35840 + }, + { + "epoch": 18.6, + "learning_rate": 0.0003788105725087503, + "loss": 1.3604, + "step": 35850 + }, + { + "epoch": 18.61, + "learning_rate": 0.0003785176891589458, + "loss": 1.2848, + "step": 35860 + }, + { + "epoch": 18.61, + "learning_rate": 0.0003782248501007873, + "loss": 1.1991, + "step": 35870 + }, + { + "epoch": 18.62, + "learning_rate": 0.00037793205544104166, + "loss": 1.0993, + "step": 35880 + }, + { + "epoch": 18.62, + "learning_rate": 0.00037763930528646026, + "loss": 1.3085, + "step": 35890 + }, + { + "epoch": 18.63, + "learning_rate": 0.0003773465997437777, + "loss": 1.3069, + "step": 35900 + }, + { + "epoch": 18.64, + "learning_rate": 0.00037705393891971224, + "loss": 1.3493, + "step": 35910 + }, + { + "epoch": 18.64, + "learning_rate": 0.0003767613229209665, + "loss": 1.1889, + "step": 35920 + }, + { + "epoch": 18.65, + "learning_rate": 0.000376468751854226, + "loss": 1.2469, + "step": 35930 + }, + { + "epoch": 18.65, + "learning_rate": 0.00037617622582616044, + "loss": 1.4553, + "step": 35940 + }, + { + "epoch": 18.66, + "learning_rate": 0.0003758837449434228, + "loss": 1.0797, + "step": 35950 + }, + { + "epoch": 18.66, + "learning_rate": 0.00037559130931264965, + "loss": 1.3007, + "step": 35960 + }, + { + "epoch": 18.67, + "learning_rate": 0.0003752989190404611, + "loss": 1.3574, + "step": 35970 + }, + { + "epoch": 18.67, + "learning_rate": 0.00037500657423346063, + "loss": 1.1673, + "step": 35980 + }, + { + "epoch": 18.68, + "learning_rate": 0.00037471427499823534, + "loss": 1.2788, + "step": 35990 + }, + { + "epoch": 18.68, + "learning_rate": 0.0003744220214413556, + "loss": 1.1508, + "step": 36000 + }, + { + "epoch": 18.69, + "learning_rate": 0.000374129813669375, + "loss": 1.2657, + "step": 36010 + }, + { + "epoch": 18.69, + "learning_rate": 0.00037383765178883066, + "loss": 1.2294, + "step": 36020 + }, + { + "epoch": 18.7, + "learning_rate": 0.00037354553590624297, + "loss": 1.2384, + "step": 36030 + }, + { + "epoch": 18.7, + "learning_rate": 0.0003732534661281151, + "loss": 1.3487, + "step": 36040 + }, + { + "epoch": 18.71, + "learning_rate": 0.00037296144256093413, + "loss": 1.3554, + "step": 36050 + }, + { + "epoch": 18.71, + "learning_rate": 0.00037266946531116954, + "loss": 1.2402, + "step": 36060 + }, + { + "epoch": 18.72, + "learning_rate": 0.0003723775344852747, + "loss": 1.4537, + "step": 36070 + }, + { + "epoch": 18.72, + "learning_rate": 0.00037208565018968543, + "loss": 1.3144, + "step": 36080 + }, + { + "epoch": 18.73, + "learning_rate": 0.0003717938125308207, + "loss": 1.0749, + "step": 36090 + }, + { + "epoch": 18.73, + "learning_rate": 0.00037150202161508294, + "loss": 1.3439, + "step": 36100 + }, + { + "epoch": 18.74, + "learning_rate": 0.00037121027754885685, + "loss": 1.2742, + "step": 36110 + }, + { + "epoch": 18.74, + "learning_rate": 0.00037091858043851054, + "loss": 1.1754, + "step": 36120 + }, + { + "epoch": 18.75, + "learning_rate": 0.000370626930390395, + "loss": 1.2819, + "step": 36130 + }, + { + "epoch": 18.75, + "learning_rate": 0.0003703353275108435, + "loss": 1.1174, + "step": 36140 + }, + { + "epoch": 18.76, + "learning_rate": 0.00037004377190617285, + "loss": 1.4172, + "step": 36150 + }, + { + "epoch": 18.76, + "learning_rate": 0.00036975226368268213, + "loss": 1.1371, + "step": 36160 + }, + { + "epoch": 18.77, + "learning_rate": 0.0003694608029466534, + "loss": 1.258, + "step": 36170 + }, + { + "epoch": 18.78, + "learning_rate": 0.0003691693898043514, + "loss": 1.1931, + "step": 36180 + }, + { + "epoch": 18.78, + "learning_rate": 0.00036887802436202303, + "loss": 1.1473, + "step": 36190 + }, + { + "epoch": 18.79, + "learning_rate": 0.00036858670672589884, + "loss": 1.2873, + "step": 36200 + }, + { + "epoch": 18.79, + "learning_rate": 0.0003682954370021908, + "loss": 1.4725, + "step": 36210 + }, + { + "epoch": 18.8, + "learning_rate": 0.000368004215297094, + "loss": 1.2486, + "step": 36220 + }, + { + "epoch": 18.8, + "learning_rate": 0.0003677130417167861, + "loss": 1.3322, + "step": 36230 + }, + { + "epoch": 18.81, + "learning_rate": 0.0003674219163674268, + "loss": 1.2421, + "step": 36240 + }, + { + "epoch": 18.81, + "learning_rate": 0.0003671308393551589, + "loss": 1.2459, + "step": 36250 + }, + { + "epoch": 18.82, + "learning_rate": 0.00036683981078610686, + "loss": 1.3441, + "step": 36260 + }, + { + "epoch": 18.82, + "learning_rate": 0.00036654883076637763, + "loss": 1.3031, + "step": 36270 + }, + { + "epoch": 18.83, + "learning_rate": 0.00036625789940206095, + "loss": 1.2798, + "step": 36280 + }, + { + "epoch": 18.83, + "learning_rate": 0.00036596701679922816, + "loss": 1.1078, + "step": 36290 + }, + { + "epoch": 18.84, + "learning_rate": 0.0003656761830639334, + "loss": 1.2459, + "step": 36300 + }, + { + "epoch": 18.84, + "learning_rate": 0.00036538539830221274, + "loss": 1.2681, + "step": 36310 + }, + { + "epoch": 18.85, + "learning_rate": 0.00036509466262008385, + "loss": 1.2906, + "step": 36320 + }, + { + "epoch": 18.85, + "learning_rate": 0.0003648039761235477, + "loss": 1.3193, + "step": 36330 + }, + { + "epoch": 18.86, + "learning_rate": 0.00036451333891858613, + "loss": 1.3212, + "step": 36340 + }, + { + "epoch": 18.86, + "learning_rate": 0.0003642227511111641, + "loss": 1.0846, + "step": 36350 + }, + { + "epoch": 18.87, + "learning_rate": 0.00036393221280722754, + "loss": 1.4399, + "step": 36360 + }, + { + "epoch": 18.87, + "learning_rate": 0.0003636417241127048, + "loss": 1.1885, + "step": 36370 + }, + { + "epoch": 18.88, + "learning_rate": 0.00036335128513350647, + "loss": 1.2013, + "step": 36380 + }, + { + "epoch": 18.88, + "learning_rate": 0.00036306089597552436, + "loss": 1.3481, + "step": 36390 + }, + { + "epoch": 18.89, + "learning_rate": 0.00036277055674463254, + "loss": 1.2334, + "step": 36400 + }, + { + "epoch": 18.89, + "learning_rate": 0.0003624802675466869, + "loss": 1.3493, + "step": 36410 + }, + { + "epoch": 18.9, + "learning_rate": 0.0003621900284875247, + "loss": 1.169, + "step": 36420 + }, + { + "epoch": 18.91, + "learning_rate": 0.0003618998396729655, + "loss": 1.0292, + "step": 36430 + }, + { + "epoch": 18.91, + "learning_rate": 0.00036160970120880997, + "loss": 1.3127, + "step": 36440 + }, + { + "epoch": 18.92, + "learning_rate": 0.00036131961320084056, + "loss": 1.1866, + "step": 36450 + }, + { + "epoch": 18.92, + "learning_rate": 0.00036102957575482187, + "loss": 1.098, + "step": 36460 + }, + { + "epoch": 18.93, + "learning_rate": 0.00036073958897649914, + "loss": 1.1919, + "step": 36470 + }, + { + "epoch": 18.93, + "learning_rate": 0.0003604496529716002, + "loss": 1.1552, + "step": 36480 + }, + { + "epoch": 18.94, + "learning_rate": 0.0003601597678458333, + "loss": 1.2796, + "step": 36490 + }, + { + "epoch": 18.94, + "learning_rate": 0.00035986993370488865, + "loss": 1.0696, + "step": 36500 + }, + { + "epoch": 18.95, + "learning_rate": 0.00035958015065443817, + "loss": 1.3401, + "step": 36510 + }, + { + "epoch": 18.95, + "learning_rate": 0.00035929041880013466, + "loss": 1.2204, + "step": 36520 + }, + { + "epoch": 18.96, + "learning_rate": 0.00035900073824761235, + "loss": 1.3608, + "step": 36530 + }, + { + "epoch": 18.96, + "learning_rate": 0.00035871110910248703, + "loss": 1.3219, + "step": 36540 + }, + { + "epoch": 18.97, + "learning_rate": 0.0003584215314703555, + "loss": 1.1538, + "step": 36550 + }, + { + "epoch": 18.97, + "learning_rate": 0.0003581320054567959, + "loss": 1.2279, + "step": 36560 + }, + { + "epoch": 18.98, + "learning_rate": 0.00035784253116736756, + "loss": 1.2057, + "step": 36570 + }, + { + "epoch": 18.98, + "learning_rate": 0.0003575531087076104, + "loss": 1.2543, + "step": 36580 + }, + { + "epoch": 18.99, + "learning_rate": 0.00035726373818304656, + "loss": 1.1545, + "step": 36590 + }, + { + "epoch": 18.99, + "learning_rate": 0.00035697441969917816, + "loss": 1.2896, + "step": 36600 + }, + { + "epoch": 19.0, + "learning_rate": 0.0003566851533614893, + "loss": 1.241, + "step": 36610 + }, + { + "epoch": 19.0, + "eval_accuracy": { + "accuracy": 0.5317769130998703 + }, + "eval_f1": { + "f1": 0.5281353810835646 + }, + "eval_loss": 1.1498997211456299, + "eval_precision": { + "precision": 0.5775200417239811 + }, + "eval_recall": { + "recall": 0.5464467844676986 + }, + "eval_runtime": 181.4138, + "eval_samples_per_second": 21.25, + "eval_steps_per_second": 10.628, + "step": 36613 + }, + { + "epoch": 19.0, + "learning_rate": 0.0003563959392754441, + "loss": 1.1548, + "step": 36620 + }, + { + "epoch": 19.01, + "learning_rate": 0.00035610677754648816, + "loss": 1.3273, + "step": 36630 + }, + { + "epoch": 19.01, + "learning_rate": 0.00035581766828004824, + "loss": 1.4879, + "step": 36640 + }, + { + "epoch": 19.02, + "learning_rate": 0.00035552861158153127, + "loss": 1.2715, + "step": 36650 + }, + { + "epoch": 19.02, + "learning_rate": 0.0003552396075563257, + "loss": 1.1791, + "step": 36660 + }, + { + "epoch": 19.03, + "learning_rate": 0.00035495065630980043, + "loss": 1.2419, + "step": 36670 + }, + { + "epoch": 19.03, + "learning_rate": 0.00035466175794730506, + "loss": 1.2273, + "step": 36680 + }, + { + "epoch": 19.04, + "learning_rate": 0.00035437291257417014, + "loss": 1.1562, + "step": 36690 + }, + { + "epoch": 19.05, + "learning_rate": 0.00035408412029570667, + "loss": 1.222, + "step": 36700 + }, + { + "epoch": 19.05, + "learning_rate": 0.00035379538121720647, + "loss": 1.1811, + "step": 36710 + }, + { + "epoch": 19.06, + "learning_rate": 0.00035350669544394187, + "loss": 1.1933, + "step": 36720 + }, + { + "epoch": 19.06, + "learning_rate": 0.00035321806308116576, + "loss": 1.303, + "step": 36730 + }, + { + "epoch": 19.07, + "learning_rate": 0.0003529294842341118, + "loss": 1.1722, + "step": 36740 + }, + { + "epoch": 19.07, + "learning_rate": 0.00035264095900799377, + "loss": 1.3004, + "step": 36750 + }, + { + "epoch": 19.08, + "learning_rate": 0.00035235248750800576, + "loss": 1.1781, + "step": 36760 + }, + { + "epoch": 19.08, + "learning_rate": 0.0003520640698393231, + "loss": 1.1024, + "step": 36770 + }, + { + "epoch": 19.09, + "learning_rate": 0.0003517757061071006, + "loss": 1.2749, + "step": 36780 + }, + { + "epoch": 19.09, + "learning_rate": 0.00035148739641647386, + "loss": 1.2207, + "step": 36790 + }, + { + "epoch": 19.1, + "learning_rate": 0.00035119914087255885, + "loss": 1.1902, + "step": 36800 + }, + { + "epoch": 19.1, + "learning_rate": 0.00035091093958045127, + "loss": 1.076, + "step": 36810 + }, + { + "epoch": 19.11, + "learning_rate": 0.0003506227926452278, + "loss": 1.148, + "step": 36820 + }, + { + "epoch": 19.11, + "learning_rate": 0.00035033470017194456, + "loss": 1.2094, + "step": 36830 + }, + { + "epoch": 19.12, + "learning_rate": 0.00035004666226563845, + "loss": 1.2694, + "step": 36840 + }, + { + "epoch": 19.12, + "learning_rate": 0.0003497586790313261, + "loss": 1.0114, + "step": 36850 + }, + { + "epoch": 19.13, + "learning_rate": 0.00034947075057400404, + "loss": 1.2797, + "step": 36860 + }, + { + "epoch": 19.13, + "learning_rate": 0.0003491828769986495, + "loss": 1.3843, + "step": 36870 + }, + { + "epoch": 19.14, + "learning_rate": 0.00034889505841021904, + "loss": 1.4654, + "step": 36880 + }, + { + "epoch": 19.14, + "learning_rate": 0.0003486072949136492, + "loss": 1.3881, + "step": 36890 + }, + { + "epoch": 19.15, + "learning_rate": 0.00034831958661385714, + "loss": 1.1556, + "step": 36900 + }, + { + "epoch": 19.15, + "learning_rate": 0.00034803193361573887, + "loss": 1.241, + "step": 36910 + }, + { + "epoch": 19.16, + "learning_rate": 0.0003477443360241713, + "loss": 1.2936, + "step": 36920 + }, + { + "epoch": 19.16, + "learning_rate": 0.0003474567939440103, + "loss": 1.174, + "step": 36930 + }, + { + "epoch": 19.17, + "learning_rate": 0.00034716930748009166, + "loss": 1.2874, + "step": 36940 + }, + { + "epoch": 19.17, + "learning_rate": 0.00034688187673723137, + "loss": 1.2312, + "step": 36950 + }, + { + "epoch": 19.18, + "learning_rate": 0.00034659450182022457, + "loss": 1.2579, + "step": 36960 + }, + { + "epoch": 19.19, + "learning_rate": 0.00034630718283384633, + "loss": 1.2673, + "step": 36970 + }, + { + "epoch": 19.19, + "learning_rate": 0.0003460199198828513, + "loss": 1.2528, + "step": 36980 + }, + { + "epoch": 19.2, + "learning_rate": 0.00034573271307197345, + "loss": 1.2022, + "step": 36990 + }, + { + "epoch": 19.2, + "learning_rate": 0.00034544556250592676, + "loss": 1.2006, + "step": 37000 + }, + { + "epoch": 19.21, + "learning_rate": 0.00034515846828940436, + "loss": 1.1486, + "step": 37010 + }, + { + "epoch": 19.21, + "learning_rate": 0.00034487143052707846, + "loss": 1.1352, + "step": 37020 + }, + { + "epoch": 19.22, + "learning_rate": 0.00034458444932360186, + "loss": 1.2711, + "step": 37030 + }, + { + "epoch": 19.22, + "learning_rate": 0.0003442975247836053, + "loss": 1.1487, + "step": 37040 + }, + { + "epoch": 19.23, + "learning_rate": 0.0003440106570117002, + "loss": 1.1447, + "step": 37050 + }, + { + "epoch": 19.23, + "learning_rate": 0.0003437238461124763, + "loss": 1.1887, + "step": 37060 + }, + { + "epoch": 19.24, + "learning_rate": 0.0003434370921905028, + "loss": 1.2543, + "step": 37070 + }, + { + "epoch": 19.24, + "learning_rate": 0.00034315039535032867, + "loss": 1.1668, + "step": 37080 + }, + { + "epoch": 19.25, + "learning_rate": 0.0003428637556964813, + "loss": 1.1835, + "step": 37090 + }, + { + "epoch": 19.25, + "learning_rate": 0.000342577173333468, + "loss": 1.2849, + "step": 37100 + }, + { + "epoch": 19.26, + "learning_rate": 0.00034229064836577457, + "loss": 1.145, + "step": 37110 + }, + { + "epoch": 19.26, + "learning_rate": 0.000342004180897866, + "loss": 1.221, + "step": 37120 + }, + { + "epoch": 19.27, + "learning_rate": 0.00034171777103418676, + "loss": 1.2846, + "step": 37130 + }, + { + "epoch": 19.27, + "learning_rate": 0.0003414314188791596, + "loss": 1.2273, + "step": 37140 + }, + { + "epoch": 19.28, + "learning_rate": 0.00034114512453718704, + "loss": 1.0219, + "step": 37150 + }, + { + "epoch": 19.28, + "learning_rate": 0.00034085888811264997, + "loss": 1.2793, + "step": 37160 + }, + { + "epoch": 19.29, + "learning_rate": 0.00034057270970990784, + "loss": 1.1606, + "step": 37170 + }, + { + "epoch": 19.29, + "learning_rate": 0.00034028658943330016, + "loss": 1.1581, + "step": 37180 + }, + { + "epoch": 19.3, + "learning_rate": 0.0003400005273871439, + "loss": 1.3327, + "step": 37190 + }, + { + "epoch": 19.3, + "learning_rate": 0.00033971452367573555, + "loss": 1.1686, + "step": 37200 + }, + { + "epoch": 19.31, + "learning_rate": 0.0003394285784033503, + "loss": 1.1321, + "step": 37210 + }, + { + "epoch": 19.31, + "learning_rate": 0.0003391426916742417, + "loss": 1.2609, + "step": 37220 + }, + { + "epoch": 19.32, + "learning_rate": 0.0003388568635926424, + "loss": 1.2408, + "step": 37230 + }, + { + "epoch": 19.33, + "learning_rate": 0.0003385710942627632, + "loss": 1.1465, + "step": 37240 + }, + { + "epoch": 19.33, + "learning_rate": 0.0003382853837887938, + "loss": 0.931, + "step": 37250 + }, + { + "epoch": 19.34, + "learning_rate": 0.00033799973227490246, + "loss": 1.27, + "step": 37260 + }, + { + "epoch": 19.34, + "learning_rate": 0.0003377141398252355, + "loss": 1.2039, + "step": 37270 + }, + { + "epoch": 19.35, + "learning_rate": 0.0003374286065439184, + "loss": 1.1148, + "step": 37280 + }, + { + "epoch": 19.35, + "learning_rate": 0.0003371431325350547, + "loss": 1.1849, + "step": 37290 + }, + { + "epoch": 19.36, + "learning_rate": 0.0003368577179027258, + "loss": 1.2413, + "step": 37300 + }, + { + "epoch": 19.36, + "learning_rate": 0.00033657236275099275, + "loss": 1.0847, + "step": 37310 + }, + { + "epoch": 19.37, + "learning_rate": 0.0003362870671838934, + "loss": 1.0531, + "step": 37320 + }, + { + "epoch": 19.37, + "learning_rate": 0.0003360018313054454, + "loss": 1.316, + "step": 37330 + }, + { + "epoch": 19.38, + "learning_rate": 0.00033571665521964325, + "loss": 1.1227, + "step": 37340 + }, + { + "epoch": 19.38, + "learning_rate": 0.00033543153903046037, + "loss": 1.3868, + "step": 37350 + }, + { + "epoch": 19.39, + "learning_rate": 0.00033514648284184846, + "loss": 1.4158, + "step": 37360 + }, + { + "epoch": 19.39, + "learning_rate": 0.00033486148675773697, + "loss": 1.2597, + "step": 37370 + }, + { + "epoch": 19.4, + "learning_rate": 0.00033457655088203346, + "loss": 0.9719, + "step": 37380 + }, + { + "epoch": 19.4, + "learning_rate": 0.00033429167531862395, + "loss": 1.0494, + "step": 37390 + }, + { + "epoch": 19.41, + "learning_rate": 0.00033400686017137193, + "loss": 1.1833, + "step": 37400 + }, + { + "epoch": 19.41, + "learning_rate": 0.00033372210554411934, + "loss": 1.3747, + "step": 37410 + }, + { + "epoch": 19.42, + "learning_rate": 0.00033343741154068577, + "loss": 1.5163, + "step": 37420 + }, + { + "epoch": 19.42, + "learning_rate": 0.00033315277826486854, + "loss": 1.2932, + "step": 37430 + }, + { + "epoch": 19.43, + "learning_rate": 0.0003328682058204433, + "loss": 1.3332, + "step": 37440 + }, + { + "epoch": 19.43, + "learning_rate": 0.0003325836943111632, + "loss": 1.2144, + "step": 37450 + }, + { + "epoch": 19.44, + "learning_rate": 0.00033229924384075925, + "loss": 1.1852, + "step": 37460 + }, + { + "epoch": 19.44, + "learning_rate": 0.00033201485451294044, + "loss": 1.3218, + "step": 37470 + }, + { + "epoch": 19.45, + "learning_rate": 0.0003317305264313927, + "loss": 1.2416, + "step": 37480 + }, + { + "epoch": 19.46, + "learning_rate": 0.0003314462596997807, + "loss": 1.227, + "step": 37490 + }, + { + "epoch": 19.46, + "learning_rate": 0.00033116205442174594, + "loss": 1.2896, + "step": 37500 + }, + { + "epoch": 19.47, + "learning_rate": 0.0003308779107009077, + "loss": 1.2222, + "step": 37510 + }, + { + "epoch": 19.47, + "learning_rate": 0.0003305938286408632, + "loss": 1.2723, + "step": 37520 + }, + { + "epoch": 19.48, + "learning_rate": 0.00033030980834518645, + "loss": 1.3063, + "step": 37530 + }, + { + "epoch": 19.48, + "learning_rate": 0.0003300258499174299, + "loss": 1.1504, + "step": 37540 + }, + { + "epoch": 19.49, + "learning_rate": 0.0003297419534611225, + "loss": 1.1132, + "step": 37550 + }, + { + "epoch": 19.49, + "learning_rate": 0.0003294581190797711, + "loss": 1.3024, + "step": 37560 + }, + { + "epoch": 19.5, + "learning_rate": 0.00032917434687686, + "loss": 1.1257, + "step": 37570 + }, + { + "epoch": 19.5, + "learning_rate": 0.0003288906369558504, + "loss": 1.0688, + "step": 37580 + }, + { + "epoch": 19.51, + "learning_rate": 0.0003286069894201814, + "loss": 1.1599, + "step": 37590 + }, + { + "epoch": 19.51, + "learning_rate": 0.0003283234043732689, + "loss": 1.1923, + "step": 37600 + }, + { + "epoch": 19.52, + "learning_rate": 0.00032803988191850575, + "loss": 1.2157, + "step": 37610 + }, + { + "epoch": 19.52, + "learning_rate": 0.00032775642215926296, + "loss": 1.1677, + "step": 37620 + }, + { + "epoch": 19.53, + "learning_rate": 0.00032747302519888746, + "loss": 1.1471, + "step": 37630 + }, + { + "epoch": 19.53, + "learning_rate": 0.00032718969114070454, + "loss": 1.3661, + "step": 37640 + }, + { + "epoch": 19.54, + "learning_rate": 0.0003269064200880155, + "loss": 1.1045, + "step": 37650 + }, + { + "epoch": 19.54, + "learning_rate": 0.0003266232121440991, + "loss": 1.3216, + "step": 37660 + }, + { + "epoch": 19.55, + "learning_rate": 0.00032634006741221133, + "loss": 1.2846, + "step": 37670 + }, + { + "epoch": 19.55, + "learning_rate": 0.00032605698599558463, + "loss": 1.1084, + "step": 37680 + }, + { + "epoch": 19.56, + "learning_rate": 0.00032577396799742875, + "loss": 1.344, + "step": 37690 + }, + { + "epoch": 19.56, + "learning_rate": 0.00032549101352093016, + "loss": 1.1252, + "step": 37700 + }, + { + "epoch": 19.57, + "learning_rate": 0.00032520812266925204, + "loss": 1.2917, + "step": 37710 + }, + { + "epoch": 19.57, + "learning_rate": 0.0003249252955455349, + "loss": 1.2326, + "step": 37720 + }, + { + "epoch": 19.58, + "learning_rate": 0.0003246425322528953, + "loss": 1.1449, + "step": 37730 + }, + { + "epoch": 19.58, + "learning_rate": 0.00032435983289442674, + "loss": 1.4343, + "step": 37740 + }, + { + "epoch": 19.59, + "learning_rate": 0.00032407719757319997, + "loss": 1.3219, + "step": 37750 + }, + { + "epoch": 19.6, + "learning_rate": 0.0003237946263922615, + "loss": 1.1324, + "step": 37760 + }, + { + "epoch": 19.6, + "learning_rate": 0.00032351211945463545, + "loss": 1.2337, + "step": 37770 + }, + { + "epoch": 19.61, + "learning_rate": 0.0003232296768633215, + "loss": 1.1533, + "step": 37780 + }, + { + "epoch": 19.61, + "learning_rate": 0.0003229472987212965, + "loss": 1.2927, + "step": 37790 + }, + { + "epoch": 19.62, + "learning_rate": 0.00032266498513151365, + "loss": 1.0759, + "step": 37800 + }, + { + "epoch": 19.62, + "learning_rate": 0.0003223827361969026, + "loss": 1.307, + "step": 37810 + }, + { + "epoch": 19.63, + "learning_rate": 0.0003221005520203696, + "loss": 1.1211, + "step": 37820 + }, + { + "epoch": 19.63, + "learning_rate": 0.00032181843270479693, + "loss": 1.0802, + "step": 37830 + }, + { + "epoch": 19.64, + "learning_rate": 0.0003215363783530435, + "loss": 1.2235, + "step": 37840 + }, + { + "epoch": 19.64, + "learning_rate": 0.00032125438906794446, + "loss": 1.4051, + "step": 37850 + }, + { + "epoch": 19.65, + "learning_rate": 0.0003209724649523114, + "loss": 1.1972, + "step": 37860 + }, + { + "epoch": 19.65, + "learning_rate": 0.00032069060610893154, + "loss": 1.3673, + "step": 37870 + }, + { + "epoch": 19.66, + "learning_rate": 0.0003204088126405692, + "loss": 0.944, + "step": 37880 + }, + { + "epoch": 19.66, + "learning_rate": 0.00032012708464996403, + "loss": 1.3239, + "step": 37890 + }, + { + "epoch": 19.67, + "learning_rate": 0.0003198454222398327, + "loss": 1.1424, + "step": 37900 + }, + { + "epoch": 19.67, + "learning_rate": 0.000319563825512867, + "loss": 1.2759, + "step": 37910 + }, + { + "epoch": 19.68, + "learning_rate": 0.00031928229457173533, + "loss": 1.1436, + "step": 37920 + }, + { + "epoch": 19.68, + "learning_rate": 0.00031900082951908217, + "loss": 1.0582, + "step": 37930 + }, + { + "epoch": 19.69, + "learning_rate": 0.0003187194304575276, + "loss": 1.2655, + "step": 37940 + }, + { + "epoch": 19.69, + "learning_rate": 0.0003184380974896681, + "loss": 1.1242, + "step": 37950 + }, + { + "epoch": 19.7, + "learning_rate": 0.00031815683071807554, + "loss": 1.2732, + "step": 37960 + }, + { + "epoch": 19.7, + "learning_rate": 0.0003178756302452981, + "loss": 1.4371, + "step": 37970 + }, + { + "epoch": 19.71, + "learning_rate": 0.00031759449617385963, + "loss": 1.2628, + "step": 37980 + }, + { + "epoch": 19.71, + "learning_rate": 0.00031731342860625964, + "loss": 1.2014, + "step": 37990 + }, + { + "epoch": 19.72, + "learning_rate": 0.00031703242764497344, + "loss": 1.2273, + "step": 38000 + }, + { + "epoch": 19.72, + "learning_rate": 0.00031675149339245237, + "loss": 1.2852, + "step": 38010 + }, + { + "epoch": 19.73, + "learning_rate": 0.0003164706259511228, + "loss": 1.3147, + "step": 38020 + }, + { + "epoch": 19.74, + "learning_rate": 0.0003161898254233877, + "loss": 1.1807, + "step": 38030 + }, + { + "epoch": 19.74, + "learning_rate": 0.0003159090919116247, + "loss": 1.2854, + "step": 38040 + }, + { + "epoch": 19.75, + "learning_rate": 0.0003156284255181873, + "loss": 1.3105, + "step": 38050 + }, + { + "epoch": 19.75, + "learning_rate": 0.00031534782634540486, + "loss": 1.2812, + "step": 38060 + }, + { + "epoch": 19.76, + "learning_rate": 0.0003150672944955818, + "loss": 1.3502, + "step": 38070 + }, + { + "epoch": 19.76, + "learning_rate": 0.0003147868300709984, + "loss": 1.1581, + "step": 38080 + }, + { + "epoch": 19.77, + "learning_rate": 0.0003145064331739099, + "loss": 1.1369, + "step": 38090 + }, + { + "epoch": 19.77, + "learning_rate": 0.0003142261039065472, + "loss": 1.1917, + "step": 38100 + }, + { + "epoch": 19.78, + "learning_rate": 0.0003139458423711166, + "loss": 1.3765, + "step": 38110 + }, + { + "epoch": 19.78, + "learning_rate": 0.00031366564866979943, + "loss": 1.3137, + "step": 38120 + }, + { + "epoch": 19.79, + "learning_rate": 0.00031338552290475266, + "loss": 1.3079, + "step": 38130 + }, + { + "epoch": 19.79, + "learning_rate": 0.00031310546517810816, + "loss": 1.0707, + "step": 38140 + }, + { + "epoch": 19.8, + "learning_rate": 0.00031282547559197306, + "loss": 1.179, + "step": 38150 + }, + { + "epoch": 19.8, + "learning_rate": 0.0003125455542484299, + "loss": 1.2167, + "step": 38160 + }, + { + "epoch": 19.81, + "learning_rate": 0.0003122657012495362, + "loss": 1.1553, + "step": 38170 + }, + { + "epoch": 19.81, + "learning_rate": 0.000311985916697324, + "loss": 1.2933, + "step": 38180 + }, + { + "epoch": 19.82, + "learning_rate": 0.0003117062006938015, + "loss": 1.0811, + "step": 38190 + }, + { + "epoch": 19.82, + "learning_rate": 0.0003114265533409508, + "loss": 1.1643, + "step": 38200 + }, + { + "epoch": 19.83, + "learning_rate": 0.00031114697474073007, + "loss": 1.2889, + "step": 38210 + }, + { + "epoch": 19.83, + "learning_rate": 0.00031086746499507135, + "loss": 1.2492, + "step": 38220 + }, + { + "epoch": 19.84, + "learning_rate": 0.000310588024205882, + "loss": 1.4177, + "step": 38230 + }, + { + "epoch": 19.84, + "learning_rate": 0.00031030865247504456, + "loss": 1.3321, + "step": 38240 + }, + { + "epoch": 19.85, + "learning_rate": 0.0003100293499044159, + "loss": 1.1153, + "step": 38250 + }, + { + "epoch": 19.85, + "learning_rate": 0.00030975011659582807, + "loss": 1.1505, + "step": 38260 + }, + { + "epoch": 19.86, + "learning_rate": 0.0003094709526510877, + "loss": 1.3138, + "step": 38270 + }, + { + "epoch": 19.87, + "learning_rate": 0.0003091918581719758, + "loss": 1.0964, + "step": 38280 + }, + { + "epoch": 19.87, + "learning_rate": 0.0003089128332602487, + "loss": 1.2586, + "step": 38290 + }, + { + "epoch": 19.88, + "learning_rate": 0.0003086338780176369, + "loss": 1.3142, + "step": 38300 + }, + { + "epoch": 19.88, + "learning_rate": 0.00030835499254584564, + "loss": 1.3334, + "step": 38310 + }, + { + "epoch": 19.89, + "learning_rate": 0.00030807617694655486, + "loss": 1.1618, + "step": 38320 + }, + { + "epoch": 19.89, + "learning_rate": 0.0003077974313214184, + "loss": 1.3603, + "step": 38330 + }, + { + "epoch": 19.9, + "learning_rate": 0.00030751875577206576, + "loss": 1.1558, + "step": 38340 + }, + { + "epoch": 19.9, + "learning_rate": 0.0003072401504000998, + "loss": 1.2848, + "step": 38350 + }, + { + "epoch": 19.91, + "learning_rate": 0.0003069616153070981, + "loss": 1.3002, + "step": 38360 + }, + { + "epoch": 19.91, + "learning_rate": 0.00030668315059461293, + "loss": 1.3967, + "step": 38370 + }, + { + "epoch": 19.92, + "learning_rate": 0.00030640475636417054, + "loss": 1.1685, + "step": 38380 + }, + { + "epoch": 19.92, + "learning_rate": 0.0003061264327172717, + "loss": 1.3942, + "step": 38390 + }, + { + "epoch": 19.93, + "learning_rate": 0.00030584817975539146, + "loss": 1.1858, + "step": 38400 + }, + { + "epoch": 19.93, + "learning_rate": 0.00030556999757997886, + "loss": 1.3163, + "step": 38410 + }, + { + "epoch": 19.94, + "learning_rate": 0.0003052918862924573, + "loss": 1.1412, + "step": 38420 + }, + { + "epoch": 19.94, + "learning_rate": 0.00030501384599422425, + "loss": 1.1051, + "step": 38430 + }, + { + "epoch": 19.95, + "learning_rate": 0.0003047358767866516, + "loss": 1.3188, + "step": 38440 + }, + { + "epoch": 19.95, + "learning_rate": 0.000304457978771085, + "loss": 1.2313, + "step": 38450 + }, + { + "epoch": 19.96, + "learning_rate": 0.00030418015204884387, + "loss": 1.1833, + "step": 38460 + }, + { + "epoch": 19.96, + "learning_rate": 0.00030390239672122254, + "loss": 1.2472, + "step": 38470 + }, + { + "epoch": 19.97, + "learning_rate": 0.00030362471288948844, + "loss": 1.2204, + "step": 38480 + }, + { + "epoch": 19.97, + "learning_rate": 0.00030334710065488317, + "loss": 1.3357, + "step": 38490 + }, + { + "epoch": 19.98, + "learning_rate": 0.00030306956011862265, + "loss": 1.0947, + "step": 38500 + }, + { + "epoch": 19.98, + "learning_rate": 0.0003027920913818959, + "loss": 1.1956, + "step": 38510 + }, + { + "epoch": 19.99, + "learning_rate": 0.0003025146945458666, + "loss": 1.3021, + "step": 38520 + }, + { + "epoch": 19.99, + "learning_rate": 0.0003022373697116716, + "loss": 1.2457, + "step": 38530 + }, + { + "epoch": 20.0, + "learning_rate": 0.0003019601169804216, + "loss": 1.2881, + "step": 38540 + }, + { + "epoch": 20.0, + "eval_accuracy": { + "accuracy": 0.5732814526588845 + }, + "eval_f1": { + "f1": 0.5822889712524011 + }, + "eval_loss": 1.036847710609436, + "eval_precision": { + "precision": 0.5902075134144437 + }, + "eval_recall": { + "recall": 0.5939011675173421 + }, + "eval_runtime": 193.0544, + "eval_samples_per_second": 19.968, + "eval_steps_per_second": 9.987, + "step": 38540 + }, + { + "epoch": 20.01, + "learning_rate": 0.00030168293645320134, + "loss": 1.1887, + "step": 38550 + }, + { + "epoch": 20.01, + "learning_rate": 0.0003014058282310688, + "loss": 1.2063, + "step": 38560 + }, + { + "epoch": 20.02, + "learning_rate": 0.0003011287924150559, + "loss": 1.1669, + "step": 38570 + }, + { + "epoch": 20.02, + "learning_rate": 0.00030085182910616814, + "loss": 1.1266, + "step": 38580 + }, + { + "epoch": 20.03, + "learning_rate": 0.0003005749384053842, + "loss": 1.4623, + "step": 38590 + }, + { + "epoch": 20.03, + "learning_rate": 0.00030029812041365713, + "loss": 1.1109, + "step": 38600 + }, + { + "epoch": 20.04, + "learning_rate": 0.00030002137523191225, + "loss": 1.2336, + "step": 38610 + }, + { + "epoch": 20.04, + "learning_rate": 0.00029974470296104973, + "loss": 1.1438, + "step": 38620 + }, + { + "epoch": 20.05, + "learning_rate": 0.000299468103701942, + "loss": 1.168, + "step": 38630 + }, + { + "epoch": 20.05, + "learning_rate": 0.00029919157755543526, + "loss": 1.2298, + "step": 38640 + }, + { + "epoch": 20.06, + "learning_rate": 0.0002989151246223494, + "loss": 1.3831, + "step": 38650 + }, + { + "epoch": 20.06, + "learning_rate": 0.00029863874500347725, + "loss": 1.3132, + "step": 38660 + }, + { + "epoch": 20.07, + "learning_rate": 0.00029836243879958487, + "loss": 1.1118, + "step": 38670 + }, + { + "epoch": 20.07, + "learning_rate": 0.00029808620611141177, + "loss": 1.2783, + "step": 38680 + }, + { + "epoch": 20.08, + "learning_rate": 0.00029781004703967047, + "loss": 1.4042, + "step": 38690 + }, + { + "epoch": 20.08, + "learning_rate": 0.00029753396168504686, + "loss": 1.0744, + "step": 38700 + }, + { + "epoch": 20.09, + "learning_rate": 0.0002972579501481998, + "loss": 1.049, + "step": 38710 + }, + { + "epoch": 20.09, + "learning_rate": 0.00029698201252976113, + "loss": 1.1417, + "step": 38720 + }, + { + "epoch": 20.1, + "learning_rate": 0.0002967061489303362, + "loss": 1.3331, + "step": 38730 + }, + { + "epoch": 20.1, + "learning_rate": 0.00029643035945050255, + "loss": 1.2294, + "step": 38740 + }, + { + "epoch": 20.11, + "learning_rate": 0.00029615464419081183, + "loss": 1.1556, + "step": 38750 + }, + { + "epoch": 20.11, + "learning_rate": 0.0002958790032517875, + "loss": 1.2407, + "step": 38760 + }, + { + "epoch": 20.12, + "learning_rate": 0.00029560343673392644, + "loss": 1.2292, + "step": 38770 + }, + { + "epoch": 20.12, + "learning_rate": 0.0002953279447376986, + "loss": 1.2538, + "step": 38780 + }, + { + "epoch": 20.13, + "learning_rate": 0.00029505252736354646, + "loss": 1.2908, + "step": 38790 + }, + { + "epoch": 20.13, + "learning_rate": 0.0002947771847118854, + "loss": 1.235, + "step": 38800 + }, + { + "epoch": 20.14, + "learning_rate": 0.0002945019168831035, + "loss": 1.3215, + "step": 38810 + }, + { + "epoch": 20.15, + "learning_rate": 0.00029422672397756147, + "loss": 1.3122, + "step": 38820 + }, + { + "epoch": 20.15, + "learning_rate": 0.000293951606095593, + "loss": 1.1951, + "step": 38830 + }, + { + "epoch": 20.16, + "learning_rate": 0.0002936765633375042, + "loss": 1.0952, + "step": 38840 + }, + { + "epoch": 20.16, + "learning_rate": 0.0002934015958035737, + "loss": 1.1631, + "step": 38850 + }, + { + "epoch": 20.17, + "learning_rate": 0.000293126703594053, + "loss": 1.256, + "step": 38860 + }, + { + "epoch": 20.17, + "learning_rate": 0.00029285188680916593, + "loss": 1.3125, + "step": 38870 + }, + { + "epoch": 20.18, + "learning_rate": 0.0002925771455491089, + "loss": 1.1347, + "step": 38880 + }, + { + "epoch": 20.18, + "learning_rate": 0.00029230247991405086, + "loss": 1.0993, + "step": 38890 + }, + { + "epoch": 20.19, + "learning_rate": 0.00029202789000413266, + "loss": 1.0758, + "step": 38900 + }, + { + "epoch": 20.19, + "learning_rate": 0.00029175337591946836, + "loss": 1.1601, + "step": 38910 + }, + { + "epoch": 20.2, + "learning_rate": 0.00029147893776014386, + "loss": 1.2035, + "step": 38920 + }, + { + "epoch": 20.2, + "learning_rate": 0.00029120457562621763, + "loss": 1.1634, + "step": 38930 + }, + { + "epoch": 20.21, + "learning_rate": 0.00029093028961772017, + "loss": 1.0486, + "step": 38940 + }, + { + "epoch": 20.21, + "learning_rate": 0.000290656079834654, + "loss": 1.1006, + "step": 38950 + }, + { + "epoch": 20.22, + "learning_rate": 0.0002903819463769948, + "loss": 1.1973, + "step": 38960 + }, + { + "epoch": 20.22, + "learning_rate": 0.00029010788934468964, + "loss": 1.2473, + "step": 38970 + }, + { + "epoch": 20.23, + "learning_rate": 0.00028983390883765756, + "loss": 1.3851, + "step": 38980 + }, + { + "epoch": 20.23, + "learning_rate": 0.0002895600049557903, + "loss": 1.3719, + "step": 38990 + }, + { + "epoch": 20.24, + "learning_rate": 0.00028928617779895127, + "loss": 1.0738, + "step": 39000 + }, + { + "epoch": 20.24, + "learning_rate": 0.00028901242746697637, + "loss": 1.2905, + "step": 39010 + }, + { + "epoch": 20.25, + "learning_rate": 0.00028873875405967275, + "loss": 1.3089, + "step": 39020 + }, + { + "epoch": 20.25, + "learning_rate": 0.0002884651576768201, + "loss": 1.2547, + "step": 39030 + }, + { + "epoch": 20.26, + "learning_rate": 0.00028819163841817003, + "loss": 1.3677, + "step": 39040 + }, + { + "epoch": 20.26, + "learning_rate": 0.0002879181963834455, + "loss": 1.2863, + "step": 39050 + }, + { + "epoch": 20.27, + "learning_rate": 0.00028764483167234177, + "loss": 1.3187, + "step": 39060 + }, + { + "epoch": 20.28, + "learning_rate": 0.00028737154438452614, + "loss": 1.2603, + "step": 39070 + }, + { + "epoch": 20.28, + "learning_rate": 0.00028709833461963686, + "loss": 1.2859, + "step": 39080 + }, + { + "epoch": 20.29, + "learning_rate": 0.0002868252024772847, + "loss": 1.2315, + "step": 39090 + }, + { + "epoch": 20.29, + "learning_rate": 0.00028655214805705146, + "loss": 1.1796, + "step": 39100 + }, + { + "epoch": 20.3, + "learning_rate": 0.00028627917145849157, + "loss": 1.2675, + "step": 39110 + }, + { + "epoch": 20.3, + "learning_rate": 0.0002860062727811302, + "loss": 1.3544, + "step": 39120 + }, + { + "epoch": 20.31, + "learning_rate": 0.0002857334521244642, + "loss": 1.1339, + "step": 39130 + }, + { + "epoch": 20.31, + "learning_rate": 0.00028546070958796236, + "loss": 1.138, + "step": 39140 + }, + { + "epoch": 20.32, + "learning_rate": 0.00028518804527106497, + "loss": 1.1483, + "step": 39150 + }, + { + "epoch": 20.32, + "learning_rate": 0.00028491545927318324, + "loss": 1.2368, + "step": 39160 + }, + { + "epoch": 20.33, + "learning_rate": 0.00028464295169370045, + "loss": 1.2943, + "step": 39170 + }, + { + "epoch": 20.33, + "learning_rate": 0.00028437052263197106, + "loss": 1.1498, + "step": 39180 + }, + { + "epoch": 20.34, + "learning_rate": 0.00028409817218732103, + "loss": 1.2677, + "step": 39190 + }, + { + "epoch": 20.34, + "learning_rate": 0.00028382590045904714, + "loss": 1.0287, + "step": 39200 + }, + { + "epoch": 20.35, + "learning_rate": 0.0002835537075464182, + "loss": 1.1375, + "step": 39210 + }, + { + "epoch": 20.35, + "learning_rate": 0.000283281593548674, + "loss": 1.1159, + "step": 39220 + }, + { + "epoch": 20.36, + "learning_rate": 0.00028300955856502515, + "loss": 1.2206, + "step": 39230 + }, + { + "epoch": 20.36, + "learning_rate": 0.000282737602694654, + "loss": 1.1379, + "step": 39240 + }, + { + "epoch": 20.37, + "learning_rate": 0.00028246572603671407, + "loss": 1.2603, + "step": 39250 + }, + { + "epoch": 20.37, + "learning_rate": 0.00028219392869032936, + "loss": 1.3507, + "step": 39260 + }, + { + "epoch": 20.38, + "learning_rate": 0.00028192221075459573, + "loss": 1.2479, + "step": 39270 + }, + { + "epoch": 20.38, + "learning_rate": 0.00028165057232857927, + "loss": 1.1846, + "step": 39280 + }, + { + "epoch": 20.39, + "learning_rate": 0.0002813790135113182, + "loss": 1.1452, + "step": 39290 + }, + { + "epoch": 20.39, + "learning_rate": 0.0002811075344018209, + "loss": 1.2895, + "step": 39300 + }, + { + "epoch": 20.4, + "learning_rate": 0.00028083613509906645, + "loss": 1.0824, + "step": 39310 + }, + { + "epoch": 20.4, + "learning_rate": 0.00028056481570200547, + "loss": 1.1082, + "step": 39320 + }, + { + "epoch": 20.41, + "learning_rate": 0.0002802935763095594, + "loss": 1.1545, + "step": 39330 + }, + { + "epoch": 20.42, + "learning_rate": 0.00028002241702062007, + "loss": 1.182, + "step": 39340 + }, + { + "epoch": 20.42, + "learning_rate": 0.00027975133793405044, + "loss": 1.2907, + "step": 39350 + }, + { + "epoch": 20.43, + "learning_rate": 0.00027948033914868415, + "loss": 1.1596, + "step": 39360 + }, + { + "epoch": 20.43, + "learning_rate": 0.0002792094207633258, + "loss": 1.0701, + "step": 39370 + }, + { + "epoch": 20.44, + "learning_rate": 0.0002789385828767501, + "loss": 1.1884, + "step": 39380 + }, + { + "epoch": 20.44, + "learning_rate": 0.00027866782558770266, + "loss": 1.1663, + "step": 39390 + }, + { + "epoch": 20.45, + "learning_rate": 0.00027839714899490024, + "loss": 1.1378, + "step": 39400 + }, + { + "epoch": 20.45, + "learning_rate": 0.0002781265531970294, + "loss": 1.3202, + "step": 39410 + }, + { + "epoch": 20.46, + "learning_rate": 0.0002778560382927478, + "loss": 1.1055, + "step": 39420 + }, + { + "epoch": 20.46, + "learning_rate": 0.0002775856043806831, + "loss": 1.1296, + "step": 39430 + }, + { + "epoch": 20.47, + "learning_rate": 0.0002773152515594338, + "loss": 1.0761, + "step": 39440 + }, + { + "epoch": 20.47, + "learning_rate": 0.00027704497992756905, + "loss": 1.1237, + "step": 39450 + }, + { + "epoch": 20.48, + "learning_rate": 0.0002767747895836277, + "loss": 1.0235, + "step": 39460 + }, + { + "epoch": 20.48, + "learning_rate": 0.0002765046806261195, + "loss": 1.2635, + "step": 39470 + }, + { + "epoch": 20.49, + "learning_rate": 0.0002762346531535246, + "loss": 1.1013, + "step": 39480 + }, + { + "epoch": 20.49, + "learning_rate": 0.0002759647072642928, + "loss": 1.1812, + "step": 39490 + }, + { + "epoch": 20.5, + "learning_rate": 0.00027569484305684487, + "loss": 1.1605, + "step": 39500 + }, + { + "epoch": 20.5, + "learning_rate": 0.0002754250606295716, + "loss": 1.1981, + "step": 39510 + }, + { + "epoch": 20.51, + "learning_rate": 0.00027515536008083366, + "loss": 0.9425, + "step": 39520 + }, + { + "epoch": 20.51, + "learning_rate": 0.0002748857415089623, + "loss": 1.1863, + "step": 39530 + }, + { + "epoch": 20.52, + "learning_rate": 0.0002746162050122581, + "loss": 1.164, + "step": 39540 + }, + { + "epoch": 20.52, + "learning_rate": 0.0002743467506889931, + "loss": 1.3006, + "step": 39550 + }, + { + "epoch": 20.53, + "learning_rate": 0.00027407737863740817, + "loss": 1.289, + "step": 39560 + }, + { + "epoch": 20.53, + "learning_rate": 0.0002738080889557144, + "loss": 1.3579, + "step": 39570 + }, + { + "epoch": 20.54, + "learning_rate": 0.00027353888174209317, + "loss": 1.0017, + "step": 39580 + }, + { + "epoch": 20.54, + "learning_rate": 0.0002732697570946957, + "loss": 1.3477, + "step": 39590 + }, + { + "epoch": 20.55, + "learning_rate": 0.00027300071511164326, + "loss": 1.386, + "step": 39600 + }, + { + "epoch": 20.56, + "learning_rate": 0.0002727317558910263, + "loss": 1.1881, + "step": 39610 + }, + { + "epoch": 20.56, + "learning_rate": 0.00027246287953090585, + "loss": 1.0385, + "step": 39620 + }, + { + "epoch": 20.57, + "learning_rate": 0.00027219408612931263, + "loss": 1.2821, + "step": 39630 + }, + { + "epoch": 20.57, + "learning_rate": 0.00027192537578424667, + "loss": 1.0839, + "step": 39640 + }, + { + "epoch": 20.58, + "learning_rate": 0.0002716567485936776, + "loss": 1.1401, + "step": 39650 + }, + { + "epoch": 20.58, + "learning_rate": 0.00027138820465554605, + "loss": 1.2137, + "step": 39660 + }, + { + "epoch": 20.59, + "learning_rate": 0.0002711197440677606, + "loss": 1.2702, + "step": 39670 + }, + { + "epoch": 20.59, + "learning_rate": 0.0002708513669282006, + "loss": 1.2721, + "step": 39680 + }, + { + "epoch": 20.6, + "learning_rate": 0.0002705830733347143, + "loss": 1.1733, + "step": 39690 + }, + { + "epoch": 20.6, + "learning_rate": 0.0002703148633851199, + "loss": 1.3803, + "step": 39700 + }, + { + "epoch": 20.61, + "learning_rate": 0.0002700467371772052, + "loss": 1.1441, + "step": 39710 + }, + { + "epoch": 20.61, + "learning_rate": 0.0002697786948087268, + "loss": 1.242, + "step": 39720 + }, + { + "epoch": 20.62, + "learning_rate": 0.00026951073637741135, + "loss": 1.3418, + "step": 39730 + }, + { + "epoch": 20.62, + "learning_rate": 0.000269242861980955, + "loss": 1.0691, + "step": 39740 + }, + { + "epoch": 20.63, + "learning_rate": 0.00026897507171702253, + "loss": 1.322, + "step": 39750 + }, + { + "epoch": 20.63, + "learning_rate": 0.00026870736568324874, + "loss": 1.2821, + "step": 39760 + }, + { + "epoch": 20.64, + "learning_rate": 0.0002684397439772374, + "loss": 1.1297, + "step": 39770 + }, + { + "epoch": 20.64, + "learning_rate": 0.0002681722066965618, + "loss": 1.2664, + "step": 39780 + }, + { + "epoch": 20.65, + "learning_rate": 0.0002679047539387639, + "loss": 1.0509, + "step": 39790 + }, + { + "epoch": 20.65, + "learning_rate": 0.00026763738580135553, + "loss": 0.9593, + "step": 39800 + }, + { + "epoch": 20.66, + "learning_rate": 0.00026737010238181734, + "loss": 1.204, + "step": 39810 + }, + { + "epoch": 20.66, + "learning_rate": 0.00026710290377759906, + "loss": 1.1319, + "step": 39820 + }, + { + "epoch": 20.67, + "learning_rate": 0.00026683579008611913, + "loss": 1.1717, + "step": 39830 + }, + { + "epoch": 20.67, + "learning_rate": 0.0002665687614047658, + "loss": 1.3699, + "step": 39840 + }, + { + "epoch": 20.68, + "learning_rate": 0.00026630181783089603, + "loss": 1.2318, + "step": 39850 + }, + { + "epoch": 20.69, + "learning_rate": 0.00026603495946183567, + "loss": 1.1743, + "step": 39860 + }, + { + "epoch": 20.69, + "learning_rate": 0.00026576818639487923, + "loss": 1.1741, + "step": 39870 + }, + { + "epoch": 20.7, + "learning_rate": 0.0002655014987272905, + "loss": 1.1627, + "step": 39880 + }, + { + "epoch": 20.7, + "learning_rate": 0.0002652348965563024, + "loss": 1.2481, + "step": 39890 + }, + { + "epoch": 20.71, + "learning_rate": 0.0002649683799791158, + "loss": 1.0844, + "step": 39900 + }, + { + "epoch": 20.71, + "learning_rate": 0.0002647019490929011, + "loss": 1.1144, + "step": 39910 + }, + { + "epoch": 20.72, + "learning_rate": 0.00026443560399479747, + "loss": 1.154, + "step": 39920 + }, + { + "epoch": 20.72, + "learning_rate": 0.00026416934478191225, + "loss": 1.2489, + "step": 39930 + }, + { + "epoch": 20.73, + "learning_rate": 0.0002639031715513217, + "loss": 1.5209, + "step": 39940 + }, + { + "epoch": 20.73, + "learning_rate": 0.00026363708440007135, + "loss": 1.2268, + "step": 39950 + }, + { + "epoch": 20.74, + "learning_rate": 0.0002633710834251742, + "loss": 1.3809, + "step": 39960 + }, + { + "epoch": 20.74, + "learning_rate": 0.0002631051687236129, + "loss": 1.217, + "step": 39970 + }, + { + "epoch": 20.75, + "learning_rate": 0.0002628393403923376, + "loss": 1.1967, + "step": 39980 + }, + { + "epoch": 20.75, + "learning_rate": 0.00026257359852826834, + "loss": 1.0959, + "step": 39990 + }, + { + "epoch": 20.76, + "learning_rate": 0.00026230794322829244, + "loss": 0.9996, + "step": 40000 + }, + { + "epoch": 20.76, + "learning_rate": 0.00026204237458926584, + "loss": 1.023, + "step": 40010 + }, + { + "epoch": 20.77, + "learning_rate": 0.00026177689270801344, + "loss": 1.2478, + "step": 40020 + }, + { + "epoch": 20.77, + "learning_rate": 0.000261511497681328, + "loss": 0.9404, + "step": 40030 + }, + { + "epoch": 20.78, + "learning_rate": 0.00026124618960597103, + "loss": 1.3133, + "step": 40040 + }, + { + "epoch": 20.78, + "learning_rate": 0.00026098096857867176, + "loss": 1.2357, + "step": 40050 + }, + { + "epoch": 20.79, + "learning_rate": 0.0002607158346961282, + "loss": 1.1756, + "step": 40060 + }, + { + "epoch": 20.79, + "learning_rate": 0.0002604507880550066, + "loss": 1.4344, + "step": 40070 + }, + { + "epoch": 20.8, + "learning_rate": 0.00026018582875194073, + "loss": 1.3091, + "step": 40080 + }, + { + "epoch": 20.8, + "learning_rate": 0.0002599209568835334, + "loss": 1.2607, + "step": 40090 + }, + { + "epoch": 20.81, + "learning_rate": 0.0002596561725463551, + "loss": 1.1957, + "step": 40100 + }, + { + "epoch": 20.81, + "learning_rate": 0.0002593914758369442, + "loss": 1.1149, + "step": 40110 + }, + { + "epoch": 20.82, + "learning_rate": 0.00025912686685180777, + "loss": 1.2671, + "step": 40120 + }, + { + "epoch": 20.83, + "learning_rate": 0.00025886234568741994, + "loss": 1.2207, + "step": 40130 + }, + { + "epoch": 20.83, + "learning_rate": 0.0002585979124402238, + "loss": 1.1914, + "step": 40140 + }, + { + "epoch": 20.84, + "learning_rate": 0.00025833356720663, + "loss": 1.0492, + "step": 40150 + }, + { + "epoch": 20.84, + "learning_rate": 0.0002580693100830167, + "loss": 1.3062, + "step": 40160 + }, + { + "epoch": 20.85, + "learning_rate": 0.0002578051411657305, + "loss": 1.1622, + "step": 40170 + }, + { + "epoch": 20.85, + "learning_rate": 0.00025754106055108576, + "loss": 1.1898, + "step": 40180 + }, + { + "epoch": 20.86, + "learning_rate": 0.0002572770683353643, + "loss": 1.156, + "step": 40190 + }, + { + "epoch": 20.86, + "learning_rate": 0.000257013164614816, + "loss": 1.2677, + "step": 40200 + }, + { + "epoch": 20.87, + "learning_rate": 0.0002567493494856584, + "loss": 1.2109, + "step": 40210 + }, + { + "epoch": 20.87, + "learning_rate": 0.0002564856230440771, + "loss": 1.1145, + "step": 40220 + }, + { + "epoch": 20.88, + "learning_rate": 0.00025622198538622455, + "loss": 1.2414, + "step": 40230 + }, + { + "epoch": 20.88, + "learning_rate": 0.0002559584366082212, + "loss": 1.1956, + "step": 40240 + }, + { + "epoch": 20.89, + "learning_rate": 0.0002556949768061557, + "loss": 1.0952, + "step": 40250 + }, + { + "epoch": 20.89, + "learning_rate": 0.0002554316060760834, + "loss": 1.1434, + "step": 40260 + }, + { + "epoch": 20.9, + "learning_rate": 0.0002551683245140278, + "loss": 1.0144, + "step": 40270 + }, + { + "epoch": 20.9, + "learning_rate": 0.00025490513221597915, + "loss": 1.3246, + "step": 40280 + }, + { + "epoch": 20.91, + "learning_rate": 0.00025464202927789594, + "loss": 1.3807, + "step": 40290 + }, + { + "epoch": 20.91, + "learning_rate": 0.0002543790157957039, + "loss": 1.3442, + "step": 40300 + }, + { + "epoch": 20.92, + "learning_rate": 0.0002541160918652956, + "loss": 1.0797, + "step": 40310 + }, + { + "epoch": 20.92, + "learning_rate": 0.00025385325758253165, + "loss": 1.1703, + "step": 40320 + }, + { + "epoch": 20.93, + "learning_rate": 0.0002535905130432397, + "loss": 1.2565, + "step": 40330 + }, + { + "epoch": 20.93, + "learning_rate": 0.00025332785834321445, + "loss": 1.099, + "step": 40340 + }, + { + "epoch": 20.94, + "learning_rate": 0.0002530652935782182, + "loss": 1.1452, + "step": 40350 + }, + { + "epoch": 20.94, + "learning_rate": 0.00025280281884398046, + "loss": 1.0487, + "step": 40360 + }, + { + "epoch": 20.95, + "learning_rate": 0.00025254043423619755, + "loss": 0.9842, + "step": 40370 + }, + { + "epoch": 20.95, + "learning_rate": 0.0002522781398505334, + "loss": 1.2213, + "step": 40380 + }, + { + "epoch": 20.96, + "learning_rate": 0.0002520159357826183, + "loss": 1.2949, + "step": 40390 + }, + { + "epoch": 20.97, + "learning_rate": 0.00025175382212805076, + "loss": 1.2475, + "step": 40400 + }, + { + "epoch": 20.97, + "learning_rate": 0.0002514917989823955, + "loss": 1.1433, + "step": 40410 + }, + { + "epoch": 20.98, + "learning_rate": 0.00025122986644118405, + "loss": 1.1607, + "step": 40420 + }, + { + "epoch": 20.98, + "learning_rate": 0.00025096802459991565, + "loss": 1.2003, + "step": 40430 + }, + { + "epoch": 20.99, + "learning_rate": 0.0002507062735540561, + "loss": 1.1264, + "step": 40440 + }, + { + "epoch": 20.99, + "learning_rate": 0.0002504446133990379, + "loss": 1.1918, + "step": 40450 + }, + { + "epoch": 21.0, + "learning_rate": 0.00025018304423026064, + "loss": 1.1817, + "step": 40460 + }, + { + "epoch": 21.0, + "eval_accuracy": { + "accuracy": 0.562905317769131 + }, + "eval_f1": { + "f1": 0.5595449409010723 + }, + "eval_loss": 1.092657208442688, + "eval_precision": { + "precision": 0.6241213136239965 + }, + "eval_recall": { + "recall": 0.5901142810563812 + }, + "eval_runtime": 181.1563, + "eval_samples_per_second": 21.28, + "eval_steps_per_second": 10.643, + "step": 40467 + } + ], + "logging_steps": 10, + "max_steps": 57810, + "num_input_tokens_seen": 0, + "num_train_epochs": 30, + "save_steps": 500, + "total_flos": 1.866769462896604e+19, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}