{ "best_metric": 0.4666987955570221, "best_model_checkpoint": "checkpoints/1b_52k/checkpoint-6200", "epoch": 1.9935691318327975, "eval_steps": 200, "global_step": 6200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 2.6999999999999996e-05, "loss": 1.2981, "step": 10 }, { "epoch": 0.01, "learning_rate": 5.1e-05, "loss": 1.2597, "step": 20 }, { "epoch": 0.01, "learning_rate": 8.1e-05, "loss": 1.1419, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.00011099999999999999, "loss": 0.8779, "step": 40 }, { "epoch": 0.02, "learning_rate": 0.00014099999999999998, "loss": 0.7661, "step": 50 }, { "epoch": 0.02, "learning_rate": 0.00017099999999999998, "loss": 0.7354, "step": 60 }, { "epoch": 0.02, "learning_rate": 0.000201, "loss": 0.5858, "step": 70 }, { "epoch": 0.03, "learning_rate": 0.00023099999999999998, "loss": 0.5491, "step": 80 }, { "epoch": 0.03, "learning_rate": 0.000261, "loss": 0.5445, "step": 90 }, { "epoch": 0.03, "learning_rate": 0.00029099999999999997, "loss": 0.5566, "step": 100 }, { "epoch": 0.04, "learning_rate": 0.0002998640776699029, "loss": 0.5398, "step": 110 }, { "epoch": 0.04, "learning_rate": 0.0002996699029126213, "loss": 0.528, "step": 120 }, { "epoch": 0.04, "learning_rate": 0.0002994757281553398, "loss": 0.5818, "step": 130 }, { "epoch": 0.05, "learning_rate": 0.00029928155339805826, "loss": 0.5048, "step": 140 }, { "epoch": 0.05, "learning_rate": 0.0002990873786407767, "loss": 0.5234, "step": 150 }, { "epoch": 0.05, "learning_rate": 0.00029889320388349516, "loss": 0.5353, "step": 160 }, { "epoch": 0.05, "learning_rate": 0.0002986990291262136, "loss": 0.5341, "step": 170 }, { "epoch": 0.06, "learning_rate": 0.000298504854368932, "loss": 0.5185, "step": 180 }, { "epoch": 0.06, "learning_rate": 0.00029831067961165047, "loss": 0.5046, "step": 190 }, { "epoch": 0.06, "learning_rate": 0.0002981165048543689, "loss": 0.4929, "step": 200 }, { "epoch": 0.06, "eval_loss": 0.5254431366920471, "eval_runtime": 503.7885, "eval_samples_per_second": 3.97, "eval_steps_per_second": 0.496, "step": 200 }, { "epoch": 0.07, "learning_rate": 0.00029792233009708736, "loss": 0.5269, "step": 210 }, { "epoch": 0.07, "learning_rate": 0.0002977281553398058, "loss": 0.5073, "step": 220 }, { "epoch": 0.07, "learning_rate": 0.00029753398058252425, "loss": 0.5534, "step": 230 }, { "epoch": 0.08, "learning_rate": 0.00029733980582524267, "loss": 0.5466, "step": 240 }, { "epoch": 0.08, "learning_rate": 0.00029714563106796114, "loss": 0.5065, "step": 250 }, { "epoch": 0.08, "learning_rate": 0.0002969514563106796, "loss": 0.5038, "step": 260 }, { "epoch": 0.09, "learning_rate": 0.00029675728155339803, "loss": 0.5398, "step": 270 }, { "epoch": 0.09, "learning_rate": 0.0002965631067961165, "loss": 0.5068, "step": 280 }, { "epoch": 0.09, "learning_rate": 0.0002963689320388349, "loss": 0.496, "step": 290 }, { "epoch": 0.1, "learning_rate": 0.0002961747572815534, "loss": 0.5276, "step": 300 }, { "epoch": 0.1, "learning_rate": 0.0002959805825242718, "loss": 0.5269, "step": 310 }, { "epoch": 0.1, "learning_rate": 0.00029578640776699023, "loss": 0.504, "step": 320 }, { "epoch": 0.11, "learning_rate": 0.0002955922330097087, "loss": 0.5183, "step": 330 }, { "epoch": 0.11, "learning_rate": 0.0002953980582524271, "loss": 0.4911, "step": 340 }, { "epoch": 0.11, "learning_rate": 0.0002952038834951456, "loss": 0.4937, "step": 350 }, { "epoch": 0.12, "learning_rate": 0.00029500970873786407, "loss": 0.4942, "step": 360 }, { "epoch": 0.12, "learning_rate": 0.0002948155339805825, "loss": 0.4763, "step": 370 }, { "epoch": 0.12, "learning_rate": 0.00029462135922330096, "loss": 0.5261, "step": 380 }, { "epoch": 0.13, "learning_rate": 0.0002944271844660194, "loss": 0.5031, "step": 390 }, { "epoch": 0.13, "learning_rate": 0.00029423300970873786, "loss": 0.5103, "step": 400 }, { "epoch": 0.13, "eval_loss": 0.5078505873680115, "eval_runtime": 523.4102, "eval_samples_per_second": 3.821, "eval_steps_per_second": 0.478, "step": 400 }, { "epoch": 0.13, "learning_rate": 0.0002940388349514563, "loss": 0.5134, "step": 410 }, { "epoch": 0.14, "learning_rate": 0.00029384466019417475, "loss": 0.5013, "step": 420 }, { "epoch": 0.14, "learning_rate": 0.00029365048543689317, "loss": 0.5222, "step": 430 }, { "epoch": 0.14, "learning_rate": 0.00029345631067961164, "loss": 0.5072, "step": 440 }, { "epoch": 0.14, "learning_rate": 0.00029326213592233006, "loss": 0.4943, "step": 450 }, { "epoch": 0.15, "learning_rate": 0.00029306796116504853, "loss": 0.4941, "step": 460 }, { "epoch": 0.15, "learning_rate": 0.00029287378640776695, "loss": 0.4767, "step": 470 }, { "epoch": 0.15, "learning_rate": 0.0002926796116504854, "loss": 0.5166, "step": 480 }, { "epoch": 0.16, "learning_rate": 0.00029248543689320384, "loss": 0.487, "step": 490 }, { "epoch": 0.16, "learning_rate": 0.0002922912621359223, "loss": 0.5165, "step": 500 }, { "epoch": 0.16, "learning_rate": 0.00029209708737864073, "loss": 0.4742, "step": 510 }, { "epoch": 0.17, "learning_rate": 0.0002919029126213592, "loss": 0.496, "step": 520 }, { "epoch": 0.17, "learning_rate": 0.0002917087378640776, "loss": 0.4934, "step": 530 }, { "epoch": 0.17, "learning_rate": 0.0002915145631067961, "loss": 0.4915, "step": 540 }, { "epoch": 0.18, "learning_rate": 0.00029132038834951457, "loss": 0.4783, "step": 550 }, { "epoch": 0.18, "learning_rate": 0.000291126213592233, "loss": 0.4869, "step": 560 }, { "epoch": 0.18, "learning_rate": 0.00029093203883495146, "loss": 0.4802, "step": 570 }, { "epoch": 0.19, "learning_rate": 0.0002907378640776699, "loss": 0.4953, "step": 580 }, { "epoch": 0.19, "learning_rate": 0.00029054368932038835, "loss": 0.4859, "step": 590 }, { "epoch": 0.19, "learning_rate": 0.00029034951456310677, "loss": 0.5093, "step": 600 }, { "epoch": 0.19, "eval_loss": 0.4987016022205353, "eval_runtime": 527.0047, "eval_samples_per_second": 3.795, "eval_steps_per_second": 0.474, "step": 600 }, { "epoch": 0.2, "learning_rate": 0.0002901553398058252, "loss": 0.4876, "step": 610 }, { "epoch": 0.2, "learning_rate": 0.00028996116504854366, "loss": 0.5086, "step": 620 }, { "epoch": 0.2, "learning_rate": 0.0002897669902912621, "loss": 0.5089, "step": 630 }, { "epoch": 0.21, "learning_rate": 0.00028957281553398056, "loss": 0.5143, "step": 640 }, { "epoch": 0.21, "learning_rate": 0.000289378640776699, "loss": 0.5274, "step": 650 }, { "epoch": 0.21, "learning_rate": 0.00028918446601941745, "loss": 0.4704, "step": 660 }, { "epoch": 0.22, "learning_rate": 0.0002889902912621359, "loss": 0.4951, "step": 670 }, { "epoch": 0.22, "learning_rate": 0.00028879611650485434, "loss": 0.4949, "step": 680 }, { "epoch": 0.22, "learning_rate": 0.0002886019417475728, "loss": 0.465, "step": 690 }, { "epoch": 0.23, "learning_rate": 0.00028840776699029123, "loss": 0.4942, "step": 700 }, { "epoch": 0.23, "learning_rate": 0.0002882135922330097, "loss": 0.4861, "step": 710 }, { "epoch": 0.23, "learning_rate": 0.0002880194174757281, "loss": 0.4591, "step": 720 }, { "epoch": 0.23, "learning_rate": 0.0002878252427184466, "loss": 0.4983, "step": 730 }, { "epoch": 0.24, "learning_rate": 0.000287631067961165, "loss": 0.4883, "step": 740 }, { "epoch": 0.24, "learning_rate": 0.00028743689320388343, "loss": 0.485, "step": 750 }, { "epoch": 0.24, "learning_rate": 0.0002872427184466019, "loss": 0.4901, "step": 760 }, { "epoch": 0.25, "learning_rate": 0.0002870485436893204, "loss": 0.5018, "step": 770 }, { "epoch": 0.25, "learning_rate": 0.0002868543689320388, "loss": 0.4737, "step": 780 }, { "epoch": 0.25, "learning_rate": 0.00028666019417475727, "loss": 0.4885, "step": 790 }, { "epoch": 0.26, "learning_rate": 0.0002864660194174757, "loss": 0.4958, "step": 800 }, { "epoch": 0.26, "eval_loss": 0.4947653114795685, "eval_runtime": 537.1211, "eval_samples_per_second": 3.724, "eval_steps_per_second": 0.465, "step": 800 }, { "epoch": 0.26, "learning_rate": 0.00028627184466019416, "loss": 0.4811, "step": 810 }, { "epoch": 0.26, "learning_rate": 0.0002860776699029126, "loss": 0.5244, "step": 820 }, { "epoch": 0.27, "learning_rate": 0.00028588349514563105, "loss": 0.4735, "step": 830 }, { "epoch": 0.27, "learning_rate": 0.00028568932038834947, "loss": 0.5116, "step": 840 }, { "epoch": 0.27, "learning_rate": 0.00028549514563106794, "loss": 0.5015, "step": 850 }, { "epoch": 0.28, "learning_rate": 0.0002853009708737864, "loss": 0.4914, "step": 860 }, { "epoch": 0.28, "learning_rate": 0.00028510679611650484, "loss": 0.5336, "step": 870 }, { "epoch": 0.28, "learning_rate": 0.0002849126213592233, "loss": 0.4975, "step": 880 }, { "epoch": 0.29, "learning_rate": 0.00028471844660194173, "loss": 0.4693, "step": 890 }, { "epoch": 0.29, "learning_rate": 0.00028452427184466015, "loss": 0.4915, "step": 900 }, { "epoch": 0.29, "learning_rate": 0.0002843300970873786, "loss": 0.4595, "step": 910 }, { "epoch": 0.3, "learning_rate": 0.00028413592233009704, "loss": 0.5101, "step": 920 }, { "epoch": 0.3, "learning_rate": 0.0002839417475728155, "loss": 0.4835, "step": 930 }, { "epoch": 0.3, "learning_rate": 0.00028374757281553393, "loss": 0.4749, "step": 940 }, { "epoch": 0.31, "learning_rate": 0.0002835533980582524, "loss": 0.4943, "step": 950 }, { "epoch": 0.31, "learning_rate": 0.0002833592233009709, "loss": 0.5031, "step": 960 }, { "epoch": 0.31, "learning_rate": 0.0002831650485436893, "loss": 0.472, "step": 970 }, { "epoch": 0.32, "learning_rate": 0.00028297087378640777, "loss": 0.5117, "step": 980 }, { "epoch": 0.32, "learning_rate": 0.0002827766990291262, "loss": 0.4917, "step": 990 }, { "epoch": 0.32, "learning_rate": 0.00028258252427184466, "loss": 0.4764, "step": 1000 }, { "epoch": 0.32, "eval_loss": 0.49110785126686096, "eval_runtime": 534.8721, "eval_samples_per_second": 3.739, "eval_steps_per_second": 0.467, "step": 1000 }, { "epoch": 0.32, "learning_rate": 0.0002823883495145631, "loss": 0.4696, "step": 1010 }, { "epoch": 0.33, "learning_rate": 0.00028219417475728155, "loss": 0.4927, "step": 1020 }, { "epoch": 0.33, "learning_rate": 0.00028199999999999997, "loss": 0.4699, "step": 1030 }, { "epoch": 0.33, "learning_rate": 0.0002818058252427184, "loss": 0.4746, "step": 1040 }, { "epoch": 0.34, "learning_rate": 0.00028161165048543686, "loss": 0.4837, "step": 1050 }, { "epoch": 0.34, "learning_rate": 0.0002814174757281553, "loss": 0.4655, "step": 1060 }, { "epoch": 0.34, "learning_rate": 0.00028122330097087375, "loss": 0.4977, "step": 1070 }, { "epoch": 0.35, "learning_rate": 0.0002810291262135922, "loss": 0.4806, "step": 1080 }, { "epoch": 0.35, "learning_rate": 0.00028083495145631064, "loss": 0.4728, "step": 1090 }, { "epoch": 0.35, "learning_rate": 0.0002806407766990291, "loss": 0.4704, "step": 1100 }, { "epoch": 0.36, "learning_rate": 0.00028044660194174754, "loss": 0.4583, "step": 1110 }, { "epoch": 0.36, "learning_rate": 0.000280252427184466, "loss": 0.4733, "step": 1120 }, { "epoch": 0.36, "learning_rate": 0.00028005825242718443, "loss": 0.4797, "step": 1130 }, { "epoch": 0.37, "learning_rate": 0.0002798640776699029, "loss": 0.4971, "step": 1140 }, { "epoch": 0.37, "learning_rate": 0.0002796699029126213, "loss": 0.4556, "step": 1150 }, { "epoch": 0.37, "learning_rate": 0.0002794757281553398, "loss": 0.4836, "step": 1160 }, { "epoch": 0.38, "learning_rate": 0.00027928155339805827, "loss": 0.4931, "step": 1170 }, { "epoch": 0.38, "learning_rate": 0.0002790873786407767, "loss": 0.4741, "step": 1180 }, { "epoch": 0.38, "learning_rate": 0.0002788932038834951, "loss": 0.4926, "step": 1190 }, { "epoch": 0.39, "learning_rate": 0.0002786990291262136, "loss": 0.4791, "step": 1200 }, { "epoch": 0.39, "eval_loss": 0.48850855231285095, "eval_runtime": 532.9556, "eval_samples_per_second": 3.753, "eval_steps_per_second": 0.469, "step": 1200 }, { "epoch": 0.39, "learning_rate": 0.000278504854368932, "loss": 0.4925, "step": 1210 }, { "epoch": 0.39, "learning_rate": 0.00027831067961165047, "loss": 0.4947, "step": 1220 }, { "epoch": 0.4, "learning_rate": 0.0002781165048543689, "loss": 0.4804, "step": 1230 }, { "epoch": 0.4, "learning_rate": 0.00027792233009708736, "loss": 0.5022, "step": 1240 }, { "epoch": 0.4, "learning_rate": 0.0002777281553398058, "loss": 0.5123, "step": 1250 }, { "epoch": 0.41, "learning_rate": 0.00027753398058252425, "loss": 0.5035, "step": 1260 }, { "epoch": 0.41, "learning_rate": 0.0002773398058252427, "loss": 0.4622, "step": 1270 }, { "epoch": 0.41, "learning_rate": 0.00027714563106796114, "loss": 0.4921, "step": 1280 }, { "epoch": 0.41, "learning_rate": 0.0002769514563106796, "loss": 0.4908, "step": 1290 }, { "epoch": 0.42, "learning_rate": 0.00027675728155339803, "loss": 0.4937, "step": 1300 }, { "epoch": 0.42, "learning_rate": 0.0002765631067961165, "loss": 0.4787, "step": 1310 }, { "epoch": 0.42, "learning_rate": 0.0002763689320388349, "loss": 0.4844, "step": 1320 }, { "epoch": 0.43, "learning_rate": 0.00027617475728155334, "loss": 0.4835, "step": 1330 }, { "epoch": 0.43, "learning_rate": 0.0002759805825242718, "loss": 0.4707, "step": 1340 }, { "epoch": 0.43, "learning_rate": 0.00027578640776699024, "loss": 0.4695, "step": 1350 }, { "epoch": 0.44, "learning_rate": 0.0002755922330097087, "loss": 0.4692, "step": 1360 }, { "epoch": 0.44, "learning_rate": 0.0002753980582524272, "loss": 0.4865, "step": 1370 }, { "epoch": 0.44, "learning_rate": 0.0002752038834951456, "loss": 0.4816, "step": 1380 }, { "epoch": 0.45, "learning_rate": 0.0002750097087378641, "loss": 0.4665, "step": 1390 }, { "epoch": 0.45, "learning_rate": 0.0002748155339805825, "loss": 0.5001, "step": 1400 }, { "epoch": 0.45, "eval_loss": 0.4845764636993408, "eval_runtime": 528.8954, "eval_samples_per_second": 3.781, "eval_steps_per_second": 0.473, "step": 1400 }, { "epoch": 0.45, "learning_rate": 0.00027462135922330097, "loss": 0.4748, "step": 1410 }, { "epoch": 0.46, "learning_rate": 0.0002744271844660194, "loss": 0.4855, "step": 1420 }, { "epoch": 0.46, "learning_rate": 0.00027423300970873786, "loss": 0.4921, "step": 1430 }, { "epoch": 0.46, "learning_rate": 0.0002740388349514563, "loss": 0.4978, "step": 1440 }, { "epoch": 0.47, "learning_rate": 0.00027384466019417475, "loss": 0.4807, "step": 1450 }, { "epoch": 0.47, "learning_rate": 0.0002736504854368932, "loss": 0.49, "step": 1460 }, { "epoch": 0.47, "learning_rate": 0.0002734563106796116, "loss": 0.4812, "step": 1470 }, { "epoch": 0.48, "learning_rate": 0.00027326213592233006, "loss": 0.4823, "step": 1480 }, { "epoch": 0.48, "learning_rate": 0.00027306796116504853, "loss": 0.4581, "step": 1490 }, { "epoch": 0.48, "learning_rate": 0.00027287378640776695, "loss": 0.4975, "step": 1500 }, { "epoch": 0.49, "learning_rate": 0.0002726796116504854, "loss": 0.4859, "step": 1510 }, { "epoch": 0.49, "learning_rate": 0.00027248543689320384, "loss": 0.4661, "step": 1520 }, { "epoch": 0.49, "learning_rate": 0.0002722912621359223, "loss": 0.4699, "step": 1530 }, { "epoch": 0.5, "learning_rate": 0.00027209708737864073, "loss": 0.4768, "step": 1540 }, { "epoch": 0.5, "learning_rate": 0.0002719029126213592, "loss": 0.5059, "step": 1550 }, { "epoch": 0.5, "learning_rate": 0.0002717087378640776, "loss": 0.49, "step": 1560 }, { "epoch": 0.5, "learning_rate": 0.0002715145631067961, "loss": 0.495, "step": 1570 }, { "epoch": 0.51, "learning_rate": 0.00027132038834951457, "loss": 0.4662, "step": 1580 }, { "epoch": 0.51, "learning_rate": 0.000271126213592233, "loss": 0.4845, "step": 1590 }, { "epoch": 0.51, "learning_rate": 0.00027093203883495146, "loss": 0.4706, "step": 1600 }, { "epoch": 0.51, "eval_loss": 0.48333096504211426, "eval_runtime": 527.3194, "eval_samples_per_second": 3.793, "eval_steps_per_second": 0.474, "step": 1600 }, { "epoch": 0.52, "learning_rate": 0.0002707378640776699, "loss": 0.4668, "step": 1610 }, { "epoch": 0.52, "learning_rate": 0.0002705436893203883, "loss": 0.4956, "step": 1620 }, { "epoch": 0.52, "learning_rate": 0.0002703495145631068, "loss": 0.4624, "step": 1630 }, { "epoch": 0.53, "learning_rate": 0.0002701553398058252, "loss": 0.5262, "step": 1640 }, { "epoch": 0.53, "learning_rate": 0.00026996116504854367, "loss": 0.4741, "step": 1650 }, { "epoch": 0.53, "learning_rate": 0.0002697669902912621, "loss": 0.4764, "step": 1660 }, { "epoch": 0.54, "learning_rate": 0.00026957281553398056, "loss": 0.4791, "step": 1670 }, { "epoch": 0.54, "learning_rate": 0.00026937864077669903, "loss": 0.4867, "step": 1680 }, { "epoch": 0.54, "learning_rate": 0.00026918446601941745, "loss": 0.4743, "step": 1690 }, { "epoch": 0.55, "learning_rate": 0.0002689902912621359, "loss": 0.4764, "step": 1700 }, { "epoch": 0.55, "learning_rate": 0.00026879611650485434, "loss": 0.4837, "step": 1710 }, { "epoch": 0.55, "learning_rate": 0.0002686019417475728, "loss": 0.4765, "step": 1720 }, { "epoch": 0.56, "learning_rate": 0.00026840776699029123, "loss": 0.4898, "step": 1730 }, { "epoch": 0.56, "learning_rate": 0.0002682135922330097, "loss": 0.4708, "step": 1740 }, { "epoch": 0.56, "learning_rate": 0.0002680194174757281, "loss": 0.5113, "step": 1750 }, { "epoch": 0.57, "learning_rate": 0.00026782524271844654, "loss": 0.4852, "step": 1760 }, { "epoch": 0.57, "learning_rate": 0.000267631067961165, "loss": 0.4643, "step": 1770 }, { "epoch": 0.57, "learning_rate": 0.0002674368932038835, "loss": 0.4666, "step": 1780 }, { "epoch": 0.58, "learning_rate": 0.0002672427184466019, "loss": 0.4927, "step": 1790 }, { "epoch": 0.58, "learning_rate": 0.0002670485436893204, "loss": 0.4778, "step": 1800 }, { "epoch": 0.58, "eval_loss": 0.4814455807209015, "eval_runtime": 528.5641, "eval_samples_per_second": 3.784, "eval_steps_per_second": 0.473, "step": 1800 }, { "epoch": 0.58, "learning_rate": 0.0002668543689320388, "loss": 0.4695, "step": 1810 }, { "epoch": 0.59, "learning_rate": 0.00026666019417475727, "loss": 0.468, "step": 1820 }, { "epoch": 0.59, "learning_rate": 0.0002664660194174757, "loss": 0.4492, "step": 1830 }, { "epoch": 0.59, "learning_rate": 0.00026627184466019416, "loss": 0.4654, "step": 1840 }, { "epoch": 0.59, "learning_rate": 0.0002660776699029126, "loss": 0.4909, "step": 1850 }, { "epoch": 0.6, "learning_rate": 0.00026588349514563106, "loss": 0.4786, "step": 1860 }, { "epoch": 0.6, "learning_rate": 0.00026568932038834953, "loss": 0.4633, "step": 1870 }, { "epoch": 0.6, "learning_rate": 0.00026549514563106795, "loss": 0.4826, "step": 1880 }, { "epoch": 0.61, "learning_rate": 0.0002653009708737864, "loss": 0.4644, "step": 1890 }, { "epoch": 0.61, "learning_rate": 0.00026510679611650484, "loss": 0.4573, "step": 1900 }, { "epoch": 0.61, "learning_rate": 0.00026491262135922326, "loss": 0.4402, "step": 1910 }, { "epoch": 0.62, "learning_rate": 0.00026471844660194173, "loss": 0.5006, "step": 1920 }, { "epoch": 0.62, "learning_rate": 0.00026452427184466015, "loss": 0.5296, "step": 1930 }, { "epoch": 0.62, "learning_rate": 0.0002643300970873786, "loss": 0.4689, "step": 1940 }, { "epoch": 0.63, "learning_rate": 0.00026413592233009704, "loss": 0.4728, "step": 1950 }, { "epoch": 0.63, "learning_rate": 0.0002639417475728155, "loss": 0.476, "step": 1960 }, { "epoch": 0.63, "learning_rate": 0.00026374757281553393, "loss": 0.4545, "step": 1970 }, { "epoch": 0.64, "learning_rate": 0.0002635533980582524, "loss": 0.47, "step": 1980 }, { "epoch": 0.64, "learning_rate": 0.0002633592233009709, "loss": 0.5014, "step": 1990 }, { "epoch": 0.64, "learning_rate": 0.0002631650485436893, "loss": 0.4726, "step": 2000 }, { "epoch": 0.64, "eval_loss": 0.4796612560749054, "eval_runtime": 521.7692, "eval_samples_per_second": 3.833, "eval_steps_per_second": 0.479, "step": 2000 }, { "epoch": 0.65, "learning_rate": 0.00026297087378640777, "loss": 0.4673, "step": 2010 }, { "epoch": 0.65, "learning_rate": 0.0002627766990291262, "loss": 0.4892, "step": 2020 }, { "epoch": 0.65, "learning_rate": 0.00026258252427184466, "loss": 0.47, "step": 2030 }, { "epoch": 0.66, "learning_rate": 0.0002623883495145631, "loss": 0.4532, "step": 2040 }, { "epoch": 0.66, "learning_rate": 0.0002621941747572815, "loss": 0.4949, "step": 2050 }, { "epoch": 0.66, "learning_rate": 0.00026199999999999997, "loss": 0.493, "step": 2060 }, { "epoch": 0.67, "learning_rate": 0.0002618058252427184, "loss": 0.4609, "step": 2070 }, { "epoch": 0.67, "learning_rate": 0.00026161165048543686, "loss": 0.5041, "step": 2080 }, { "epoch": 0.67, "learning_rate": 0.00026141747572815534, "loss": 0.4871, "step": 2090 }, { "epoch": 0.68, "learning_rate": 0.00026122330097087375, "loss": 0.4476, "step": 2100 }, { "epoch": 0.68, "learning_rate": 0.00026102912621359223, "loss": 0.4874, "step": 2110 }, { "epoch": 0.68, "learning_rate": 0.00026083495145631065, "loss": 0.478, "step": 2120 }, { "epoch": 0.68, "learning_rate": 0.0002606407766990291, "loss": 0.5009, "step": 2130 }, { "epoch": 0.69, "learning_rate": 0.00026044660194174754, "loss": 0.4905, "step": 2140 }, { "epoch": 0.69, "learning_rate": 0.000260252427184466, "loss": 0.4664, "step": 2150 }, { "epoch": 0.69, "learning_rate": 0.00026005825242718443, "loss": 0.4743, "step": 2160 }, { "epoch": 0.7, "learning_rate": 0.0002598640776699029, "loss": 0.4867, "step": 2170 }, { "epoch": 0.7, "learning_rate": 0.0002596699029126214, "loss": 0.4851, "step": 2180 }, { "epoch": 0.7, "learning_rate": 0.0002594757281553398, "loss": 0.4743, "step": 2190 }, { "epoch": 0.71, "learning_rate": 0.0002592815533980582, "loss": 0.5097, "step": 2200 }, { "epoch": 0.71, "eval_loss": 0.47833874821662903, "eval_runtime": 519.0074, "eval_samples_per_second": 3.854, "eval_steps_per_second": 0.482, "step": 2200 }, { "epoch": 0.71, "learning_rate": 0.0002590873786407767, "loss": 0.4953, "step": 2210 }, { "epoch": 0.71, "learning_rate": 0.0002588932038834951, "loss": 0.4722, "step": 2220 }, { "epoch": 0.72, "learning_rate": 0.0002586990291262136, "loss": 0.4592, "step": 2230 }, { "epoch": 0.72, "learning_rate": 0.000258504854368932, "loss": 0.4625, "step": 2240 }, { "epoch": 0.72, "learning_rate": 0.00025831067961165047, "loss": 0.4712, "step": 2250 }, { "epoch": 0.73, "learning_rate": 0.0002581165048543689, "loss": 0.4728, "step": 2260 }, { "epoch": 0.73, "learning_rate": 0.00025792233009708736, "loss": 0.4849, "step": 2270 }, { "epoch": 0.73, "learning_rate": 0.00025772815533980583, "loss": 0.4907, "step": 2280 }, { "epoch": 0.74, "learning_rate": 0.00025753398058252425, "loss": 0.4499, "step": 2290 }, { "epoch": 0.74, "learning_rate": 0.0002573398058252427, "loss": 0.4648, "step": 2300 }, { "epoch": 0.74, "learning_rate": 0.00025714563106796114, "loss": 0.4616, "step": 2310 }, { "epoch": 0.75, "learning_rate": 0.0002569514563106796, "loss": 0.4872, "step": 2320 }, { "epoch": 0.75, "learning_rate": 0.00025675728155339804, "loss": 0.4986, "step": 2330 }, { "epoch": 0.75, "learning_rate": 0.00025656310679611645, "loss": 0.4899, "step": 2340 }, { "epoch": 0.76, "learning_rate": 0.00025636893203883493, "loss": 0.4848, "step": 2350 }, { "epoch": 0.76, "learning_rate": 0.00025617475728155335, "loss": 0.4586, "step": 2360 }, { "epoch": 0.76, "learning_rate": 0.0002559805825242718, "loss": 0.4641, "step": 2370 }, { "epoch": 0.77, "learning_rate": 0.00025578640776699024, "loss": 0.4726, "step": 2380 }, { "epoch": 0.77, "learning_rate": 0.0002555922330097087, "loss": 0.4858, "step": 2390 }, { "epoch": 0.77, "learning_rate": 0.0002553980582524272, "loss": 0.4631, "step": 2400 }, { "epoch": 0.77, "eval_loss": 0.47692033648490906, "eval_runtime": 523.0687, "eval_samples_per_second": 3.824, "eval_steps_per_second": 0.478, "step": 2400 }, { "epoch": 0.77, "learning_rate": 0.0002552038834951456, "loss": 0.4537, "step": 2410 }, { "epoch": 0.78, "learning_rate": 0.0002550097087378641, "loss": 0.5043, "step": 2420 }, { "epoch": 0.78, "learning_rate": 0.0002548155339805825, "loss": 0.4889, "step": 2430 }, { "epoch": 0.78, "learning_rate": 0.00025462135922330097, "loss": 0.4713, "step": 2440 }, { "epoch": 0.79, "learning_rate": 0.0002544271844660194, "loss": 0.4593, "step": 2450 }, { "epoch": 0.79, "learning_rate": 0.00025423300970873786, "loss": 0.4617, "step": 2460 }, { "epoch": 0.79, "learning_rate": 0.0002540388349514563, "loss": 0.4587, "step": 2470 }, { "epoch": 0.8, "learning_rate": 0.0002538446601941747, "loss": 0.4471, "step": 2480 }, { "epoch": 0.8, "learning_rate": 0.00025365048543689317, "loss": 0.4732, "step": 2490 }, { "epoch": 0.8, "learning_rate": 0.00025345631067961164, "loss": 0.4999, "step": 2500 }, { "epoch": 0.81, "learning_rate": 0.00025326213592233006, "loss": 0.4736, "step": 2510 }, { "epoch": 0.81, "learning_rate": 0.00025306796116504853, "loss": 0.4893, "step": 2520 }, { "epoch": 0.81, "learning_rate": 0.00025287378640776695, "loss": 0.476, "step": 2530 }, { "epoch": 0.82, "learning_rate": 0.0002526796116504854, "loss": 0.4713, "step": 2540 }, { "epoch": 0.82, "learning_rate": 0.00025248543689320384, "loss": 0.4982, "step": 2550 }, { "epoch": 0.82, "learning_rate": 0.0002522912621359223, "loss": 0.4694, "step": 2560 }, { "epoch": 0.83, "learning_rate": 0.00025209708737864074, "loss": 0.4822, "step": 2570 }, { "epoch": 0.83, "learning_rate": 0.0002519029126213592, "loss": 0.4657, "step": 2580 }, { "epoch": 0.83, "learning_rate": 0.0002517087378640777, "loss": 0.4796, "step": 2590 }, { "epoch": 0.84, "learning_rate": 0.0002515145631067961, "loss": 0.4606, "step": 2600 }, { "epoch": 0.84, "eval_loss": 0.4760785698890686, "eval_runtime": 515.4107, "eval_samples_per_second": 3.88, "eval_steps_per_second": 0.485, "step": 2600 }, { "epoch": 0.84, "learning_rate": 0.0002513203883495146, "loss": 0.4735, "step": 2610 }, { "epoch": 0.84, "learning_rate": 0.000251126213592233, "loss": 0.4597, "step": 2620 }, { "epoch": 0.85, "learning_rate": 0.0002509320388349514, "loss": 0.4722, "step": 2630 }, { "epoch": 0.85, "learning_rate": 0.0002507378640776699, "loss": 0.4378, "step": 2640 }, { "epoch": 0.85, "learning_rate": 0.0002505436893203883, "loss": 0.438, "step": 2650 }, { "epoch": 0.86, "learning_rate": 0.0002503495145631068, "loss": 0.4754, "step": 2660 }, { "epoch": 0.86, "learning_rate": 0.0002501553398058252, "loss": 0.4753, "step": 2670 }, { "epoch": 0.86, "learning_rate": 0.00024996116504854367, "loss": 0.4605, "step": 2680 }, { "epoch": 0.86, "learning_rate": 0.00024976699029126214, "loss": 0.4981, "step": 2690 }, { "epoch": 0.87, "learning_rate": 0.00024957281553398056, "loss": 0.4848, "step": 2700 }, { "epoch": 0.87, "learning_rate": 0.00024937864077669903, "loss": 0.4493, "step": 2710 }, { "epoch": 0.87, "learning_rate": 0.00024918446601941745, "loss": 0.4865, "step": 2720 }, { "epoch": 0.88, "learning_rate": 0.0002489902912621359, "loss": 0.4728, "step": 2730 }, { "epoch": 0.88, "learning_rate": 0.00024879611650485434, "loss": 0.4769, "step": 2740 }, { "epoch": 0.88, "learning_rate": 0.0002486019417475728, "loss": 0.4817, "step": 2750 }, { "epoch": 0.89, "learning_rate": 0.00024840776699029123, "loss": 0.4685, "step": 2760 }, { "epoch": 0.89, "learning_rate": 0.00024821359223300965, "loss": 0.4718, "step": 2770 }, { "epoch": 0.89, "learning_rate": 0.0002480194174757281, "loss": 0.4627, "step": 2780 }, { "epoch": 0.9, "learning_rate": 0.00024782524271844654, "loss": 0.4779, "step": 2790 }, { "epoch": 0.9, "learning_rate": 0.000247631067961165, "loss": 0.4673, "step": 2800 }, { "epoch": 0.9, "eval_loss": 0.47458600997924805, "eval_runtime": 513.2712, "eval_samples_per_second": 3.897, "eval_steps_per_second": 0.487, "step": 2800 }, { "epoch": 0.9, "learning_rate": 0.0002474368932038835, "loss": 0.4714, "step": 2810 }, { "epoch": 0.91, "learning_rate": 0.0002472427184466019, "loss": 0.5071, "step": 2820 }, { "epoch": 0.91, "learning_rate": 0.0002470485436893204, "loss": 0.478, "step": 2830 }, { "epoch": 0.91, "learning_rate": 0.0002468543689320388, "loss": 0.4769, "step": 2840 }, { "epoch": 0.92, "learning_rate": 0.0002466601941747573, "loss": 0.4871, "step": 2850 }, { "epoch": 0.92, "learning_rate": 0.0002464660194174757, "loss": 0.5094, "step": 2860 }, { "epoch": 0.92, "learning_rate": 0.00024627184466019417, "loss": 0.4551, "step": 2870 }, { "epoch": 0.93, "learning_rate": 0.0002460776699029126, "loss": 0.4891, "step": 2880 }, { "epoch": 0.93, "learning_rate": 0.00024588349514563106, "loss": 0.4588, "step": 2890 }, { "epoch": 0.93, "learning_rate": 0.00024568932038834953, "loss": 0.4609, "step": 2900 }, { "epoch": 0.94, "learning_rate": 0.00024549514563106795, "loss": 0.4792, "step": 2910 }, { "epoch": 0.94, "learning_rate": 0.00024530097087378637, "loss": 0.4758, "step": 2920 }, { "epoch": 0.94, "learning_rate": 0.00024510679611650484, "loss": 0.5096, "step": 2930 }, { "epoch": 0.95, "learning_rate": 0.00024491262135922326, "loss": 0.4798, "step": 2940 }, { "epoch": 0.95, "learning_rate": 0.00024471844660194173, "loss": 0.4777, "step": 2950 }, { "epoch": 0.95, "learning_rate": 0.00024452427184466015, "loss": 0.4827, "step": 2960 }, { "epoch": 0.95, "learning_rate": 0.0002443300970873786, "loss": 0.4713, "step": 2970 }, { "epoch": 0.96, "learning_rate": 0.00024413592233009707, "loss": 0.4716, "step": 2980 }, { "epoch": 0.96, "learning_rate": 0.00024394174757281552, "loss": 0.4644, "step": 2990 }, { "epoch": 0.96, "learning_rate": 0.00024374757281553396, "loss": 0.4695, "step": 3000 }, { "epoch": 0.96, "eval_loss": 0.4740288257598877, "eval_runtime": 514.5469, "eval_samples_per_second": 3.887, "eval_steps_per_second": 0.486, "step": 3000 }, { "epoch": 0.97, "learning_rate": 0.0002435533980582524, "loss": 0.4763, "step": 3010 }, { "epoch": 0.97, "learning_rate": 0.00024335922330097085, "loss": 0.4761, "step": 3020 }, { "epoch": 0.97, "learning_rate": 0.0002431650485436893, "loss": 0.4926, "step": 3030 }, { "epoch": 0.98, "learning_rate": 0.00024297087378640777, "loss": 0.4571, "step": 3040 }, { "epoch": 0.98, "learning_rate": 0.00024277669902912616, "loss": 0.4774, "step": 3050 }, { "epoch": 0.98, "learning_rate": 0.00024258252427184464, "loss": 0.4651, "step": 3060 }, { "epoch": 0.99, "learning_rate": 0.00024238834951456308, "loss": 0.4816, "step": 3070 }, { "epoch": 0.99, "learning_rate": 0.00024219417475728153, "loss": 0.4713, "step": 3080 }, { "epoch": 0.99, "learning_rate": 0.00024199999999999997, "loss": 0.503, "step": 3090 }, { "epoch": 1.0, "learning_rate": 0.00024180582524271842, "loss": 0.5096, "step": 3100 }, { "epoch": 1.0, "learning_rate": 0.00024161165048543687, "loss": 0.4786, "step": 3110 }, { "epoch": 1.0, "learning_rate": 0.0002414174757281553, "loss": 0.4194, "step": 3120 }, { "epoch": 1.01, "learning_rate": 0.00024122330097087376, "loss": 0.4373, "step": 3130 }, { "epoch": 1.01, "learning_rate": 0.00024102912621359223, "loss": 0.4531, "step": 3140 }, { "epoch": 1.01, "learning_rate": 0.00024083495145631068, "loss": 0.4706, "step": 3150 }, { "epoch": 1.02, "learning_rate": 0.00024064077669902912, "loss": 0.4283, "step": 3160 }, { "epoch": 1.02, "learning_rate": 0.00024044660194174757, "loss": 0.4589, "step": 3170 }, { "epoch": 1.02, "learning_rate": 0.000240252427184466, "loss": 0.4506, "step": 3180 }, { "epoch": 1.03, "learning_rate": 0.00024005825242718446, "loss": 0.4305, "step": 3190 }, { "epoch": 1.03, "learning_rate": 0.00023986407766990288, "loss": 0.451, "step": 3200 }, { "epoch": 1.03, "eval_loss": 0.4739780128002167, "eval_runtime": 520.0007, "eval_samples_per_second": 3.846, "eval_steps_per_second": 0.481, "step": 3200 }, { "epoch": 1.03, "learning_rate": 0.00023966990291262132, "loss": 0.4354, "step": 3210 }, { "epoch": 1.04, "learning_rate": 0.00023947572815533977, "loss": 0.4396, "step": 3220 }, { "epoch": 1.04, "learning_rate": 0.00023928155339805821, "loss": 0.423, "step": 3230 }, { "epoch": 1.04, "learning_rate": 0.00023908737864077666, "loss": 0.4737, "step": 3240 }, { "epoch": 1.05, "learning_rate": 0.00023889320388349513, "loss": 0.4466, "step": 3250 }, { "epoch": 1.05, "learning_rate": 0.00023869902912621358, "loss": 0.4624, "step": 3260 }, { "epoch": 1.05, "learning_rate": 0.00023850485436893203, "loss": 0.455, "step": 3270 }, { "epoch": 1.05, "learning_rate": 0.00023831067961165047, "loss": 0.4699, "step": 3280 }, { "epoch": 1.06, "learning_rate": 0.00023811650485436892, "loss": 0.4218, "step": 3290 }, { "epoch": 1.06, "learning_rate": 0.00023792233009708736, "loss": 0.4495, "step": 3300 }, { "epoch": 1.06, "learning_rate": 0.0002377281553398058, "loss": 0.4738, "step": 3310 }, { "epoch": 1.07, "learning_rate": 0.00023753398058252425, "loss": 0.4574, "step": 3320 }, { "epoch": 1.07, "learning_rate": 0.0002373398058252427, "loss": 0.4699, "step": 3330 }, { "epoch": 1.07, "learning_rate": 0.00023714563106796112, "loss": 0.454, "step": 3340 }, { "epoch": 1.08, "learning_rate": 0.00023695145631067956, "loss": 0.463, "step": 3350 }, { "epoch": 1.08, "learning_rate": 0.00023675728155339804, "loss": 0.4533, "step": 3360 }, { "epoch": 1.08, "learning_rate": 0.00023656310679611648, "loss": 0.4525, "step": 3370 }, { "epoch": 1.09, "learning_rate": 0.00023636893203883493, "loss": 0.4391, "step": 3380 }, { "epoch": 1.09, "learning_rate": 0.00023617475728155338, "loss": 0.4542, "step": 3390 }, { "epoch": 1.09, "learning_rate": 0.00023598058252427182, "loss": 0.4255, "step": 3400 }, { "epoch": 1.09, "eval_loss": 0.47360363602638245, "eval_runtime": 513.4848, "eval_samples_per_second": 3.895, "eval_steps_per_second": 0.487, "step": 3400 }, { "epoch": 1.1, "learning_rate": 0.00023578640776699027, "loss": 0.4341, "step": 3410 }, { "epoch": 1.1, "learning_rate": 0.0002355922330097087, "loss": 0.4439, "step": 3420 }, { "epoch": 1.1, "learning_rate": 0.00023539805825242716, "loss": 0.4512, "step": 3430 }, { "epoch": 1.11, "learning_rate": 0.0002352038834951456, "loss": 0.4454, "step": 3440 }, { "epoch": 1.11, "learning_rate": 0.00023500970873786408, "loss": 0.4621, "step": 3450 }, { "epoch": 1.11, "learning_rate": 0.00023481553398058252, "loss": 0.4597, "step": 3460 }, { "epoch": 1.12, "learning_rate": 0.00023462135922330097, "loss": 0.4546, "step": 3470 }, { "epoch": 1.12, "learning_rate": 0.00023442718446601941, "loss": 0.4488, "step": 3480 }, { "epoch": 1.12, "learning_rate": 0.00023423300970873783, "loss": 0.4553, "step": 3490 }, { "epoch": 1.13, "learning_rate": 0.00023403883495145628, "loss": 0.4334, "step": 3500 }, { "epoch": 1.13, "learning_rate": 0.00023384466019417473, "loss": 0.4609, "step": 3510 }, { "epoch": 1.13, "learning_rate": 0.00023365048543689317, "loss": 0.4517, "step": 3520 }, { "epoch": 1.14, "learning_rate": 0.00023345631067961162, "loss": 0.4627, "step": 3530 }, { "epoch": 1.14, "learning_rate": 0.00023326213592233006, "loss": 0.4355, "step": 3540 }, { "epoch": 1.14, "learning_rate": 0.00023306796116504854, "loss": 0.4451, "step": 3550 }, { "epoch": 1.14, "learning_rate": 0.00023287378640776698, "loss": 0.4565, "step": 3560 }, { "epoch": 1.15, "learning_rate": 0.00023267961165048543, "loss": 0.4652, "step": 3570 }, { "epoch": 1.15, "learning_rate": 0.00023248543689320387, "loss": 0.4422, "step": 3580 }, { "epoch": 1.15, "learning_rate": 0.00023229126213592232, "loss": 0.4361, "step": 3590 }, { "epoch": 1.16, "learning_rate": 0.00023209708737864076, "loss": 0.4279, "step": 3600 }, { "epoch": 1.16, "eval_loss": 0.4739069640636444, "eval_runtime": 517.674, "eval_samples_per_second": 3.863, "eval_steps_per_second": 0.483, "step": 3600 }, { "epoch": 1.16, "learning_rate": 0.0002319029126213592, "loss": 0.4432, "step": 3610 }, { "epoch": 1.16, "learning_rate": 0.00023170873786407766, "loss": 0.4719, "step": 3620 }, { "epoch": 1.17, "learning_rate": 0.00023151456310679608, "loss": 0.4603, "step": 3630 }, { "epoch": 1.17, "learning_rate": 0.00023132038834951452, "loss": 0.4878, "step": 3640 }, { "epoch": 1.17, "learning_rate": 0.00023112621359223297, "loss": 0.4439, "step": 3650 }, { "epoch": 1.18, "learning_rate": 0.00023093203883495144, "loss": 0.4301, "step": 3660 }, { "epoch": 1.18, "learning_rate": 0.00023073786407766989, "loss": 0.4362, "step": 3670 }, { "epoch": 1.18, "learning_rate": 0.00023054368932038833, "loss": 0.4612, "step": 3680 }, { "epoch": 1.19, "learning_rate": 0.00023034951456310678, "loss": 0.4681, "step": 3690 }, { "epoch": 1.19, "learning_rate": 0.00023015533980582522, "loss": 0.4303, "step": 3700 }, { "epoch": 1.19, "learning_rate": 0.00022996116504854367, "loss": 0.4663, "step": 3710 }, { "epoch": 1.2, "learning_rate": 0.00022976699029126211, "loss": 0.4523, "step": 3720 }, { "epoch": 1.2, "learning_rate": 0.00022957281553398056, "loss": 0.4478, "step": 3730 }, { "epoch": 1.2, "learning_rate": 0.000229378640776699, "loss": 0.4428, "step": 3740 }, { "epoch": 1.21, "learning_rate": 0.00022918446601941748, "loss": 0.4427, "step": 3750 }, { "epoch": 1.21, "learning_rate": 0.00022899029126213593, "loss": 0.4247, "step": 3760 }, { "epoch": 1.21, "learning_rate": 0.00022879611650485437, "loss": 0.4431, "step": 3770 }, { "epoch": 1.22, "learning_rate": 0.0002286019417475728, "loss": 0.466, "step": 3780 }, { "epoch": 1.22, "learning_rate": 0.00022840776699029124, "loss": 0.4704, "step": 3790 }, { "epoch": 1.22, "learning_rate": 0.00022821359223300968, "loss": 0.4698, "step": 3800 }, { "epoch": 1.22, "eval_loss": 0.4726303517818451, "eval_runtime": 519.452, "eval_samples_per_second": 3.85, "eval_steps_per_second": 0.481, "step": 3800 }, { "epoch": 1.23, "learning_rate": 0.00022801941747572813, "loss": 0.4643, "step": 3810 }, { "epoch": 1.23, "learning_rate": 0.00022782524271844657, "loss": 0.4357, "step": 3820 }, { "epoch": 1.23, "learning_rate": 0.00022763106796116502, "loss": 0.4749, "step": 3830 }, { "epoch": 1.23, "learning_rate": 0.00022743689320388346, "loss": 0.428, "step": 3840 }, { "epoch": 1.24, "learning_rate": 0.0002272427184466019, "loss": 0.4705, "step": 3850 }, { "epoch": 1.24, "learning_rate": 0.00022704854368932038, "loss": 0.4448, "step": 3860 }, { "epoch": 1.24, "learning_rate": 0.00022685436893203883, "loss": 0.4613, "step": 3870 }, { "epoch": 1.25, "learning_rate": 0.00022666019417475728, "loss": 0.4643, "step": 3880 }, { "epoch": 1.25, "learning_rate": 0.00022646601941747572, "loss": 0.4416, "step": 3890 }, { "epoch": 1.25, "learning_rate": 0.00022627184466019417, "loss": 0.4494, "step": 3900 }, { "epoch": 1.26, "learning_rate": 0.0002260776699029126, "loss": 0.4343, "step": 3910 }, { "epoch": 1.26, "learning_rate": 0.00022588349514563103, "loss": 0.4322, "step": 3920 }, { "epoch": 1.26, "learning_rate": 0.00022568932038834948, "loss": 0.454, "step": 3930 }, { "epoch": 1.27, "learning_rate": 0.00022549514563106792, "loss": 0.4432, "step": 3940 }, { "epoch": 1.27, "learning_rate": 0.00022530097087378637, "loss": 0.4393, "step": 3950 }, { "epoch": 1.27, "learning_rate": 0.00022510679611650484, "loss": 0.4438, "step": 3960 }, { "epoch": 1.28, "learning_rate": 0.0002249126213592233, "loss": 0.4144, "step": 3970 }, { "epoch": 1.28, "learning_rate": 0.00022471844660194173, "loss": 0.4304, "step": 3980 }, { "epoch": 1.28, "learning_rate": 0.00022452427184466018, "loss": 0.454, "step": 3990 }, { "epoch": 1.29, "learning_rate": 0.00022433009708737863, "loss": 0.4663, "step": 4000 }, { "epoch": 1.29, "eval_loss": 0.4728265702724457, "eval_runtime": 520.4674, "eval_samples_per_second": 3.843, "eval_steps_per_second": 0.48, "step": 4000 }, { "epoch": 1.29, "learning_rate": 0.00022413592233009707, "loss": 0.4803, "step": 4010 }, { "epoch": 1.29, "learning_rate": 0.00022394174757281552, "loss": 0.4528, "step": 4020 }, { "epoch": 1.3, "learning_rate": 0.00022374757281553396, "loss": 0.4333, "step": 4030 }, { "epoch": 1.3, "learning_rate": 0.0002235533980582524, "loss": 0.4548, "step": 4040 }, { "epoch": 1.3, "learning_rate": 0.00022335922330097088, "loss": 0.4533, "step": 4050 }, { "epoch": 1.31, "learning_rate": 0.00022316504854368927, "loss": 0.4269, "step": 4060 }, { "epoch": 1.31, "learning_rate": 0.00022297087378640775, "loss": 0.4489, "step": 4070 }, { "epoch": 1.31, "learning_rate": 0.0002227766990291262, "loss": 0.4581, "step": 4080 }, { "epoch": 1.32, "learning_rate": 0.00022258252427184464, "loss": 0.4474, "step": 4090 }, { "epoch": 1.32, "learning_rate": 0.00022238834951456308, "loss": 0.4498, "step": 4100 }, { "epoch": 1.32, "learning_rate": 0.00022219417475728153, "loss": 0.4737, "step": 4110 }, { "epoch": 1.32, "learning_rate": 0.00022199999999999998, "loss": 0.4412, "step": 4120 }, { "epoch": 1.33, "learning_rate": 0.00022180582524271842, "loss": 0.4365, "step": 4130 }, { "epoch": 1.33, "learning_rate": 0.00022161165048543687, "loss": 0.4266, "step": 4140 }, { "epoch": 1.33, "learning_rate": 0.0002214174757281553, "loss": 0.4492, "step": 4150 }, { "epoch": 1.34, "learning_rate": 0.00022122330097087379, "loss": 0.4472, "step": 4160 }, { "epoch": 1.34, "learning_rate": 0.00022102912621359223, "loss": 0.4137, "step": 4170 }, { "epoch": 1.34, "learning_rate": 0.00022083495145631068, "loss": 0.4497, "step": 4180 }, { "epoch": 1.35, "learning_rate": 0.00022064077669902912, "loss": 0.4324, "step": 4190 }, { "epoch": 1.35, "learning_rate": 0.00022044660194174757, "loss": 0.4332, "step": 4200 }, { "epoch": 1.35, "eval_loss": 0.471797376871109, "eval_runtime": 518.6631, "eval_samples_per_second": 3.856, "eval_steps_per_second": 0.482, "step": 4200 }, { "epoch": 1.35, "learning_rate": 0.000220252427184466, "loss": 0.452, "step": 4210 }, { "epoch": 1.36, "learning_rate": 0.00022005825242718443, "loss": 0.4372, "step": 4220 }, { "epoch": 1.36, "learning_rate": 0.00021986407766990288, "loss": 0.4346, "step": 4230 }, { "epoch": 1.36, "learning_rate": 0.00021966990291262133, "loss": 0.4511, "step": 4240 }, { "epoch": 1.37, "learning_rate": 0.00021947572815533977, "loss": 0.4594, "step": 4250 }, { "epoch": 1.37, "learning_rate": 0.00021928155339805822, "loss": 0.4655, "step": 4260 }, { "epoch": 1.37, "learning_rate": 0.0002190873786407767, "loss": 0.4613, "step": 4270 }, { "epoch": 1.38, "learning_rate": 0.00021889320388349514, "loss": 0.4436, "step": 4280 }, { "epoch": 1.38, "learning_rate": 0.00021869902912621358, "loss": 0.4434, "step": 4290 }, { "epoch": 1.38, "learning_rate": 0.00021850485436893203, "loss": 0.4554, "step": 4300 }, { "epoch": 1.39, "learning_rate": 0.00021831067961165047, "loss": 0.4838, "step": 4310 }, { "epoch": 1.39, "learning_rate": 0.00021811650485436892, "loss": 0.4451, "step": 4320 }, { "epoch": 1.39, "learning_rate": 0.00021792233009708736, "loss": 0.4606, "step": 4330 }, { "epoch": 1.4, "learning_rate": 0.0002177281553398058, "loss": 0.4239, "step": 4340 }, { "epoch": 1.4, "learning_rate": 0.00021753398058252423, "loss": 0.4328, "step": 4350 }, { "epoch": 1.4, "learning_rate": 0.00021733980582524268, "loss": 0.4712, "step": 4360 }, { "epoch": 1.41, "learning_rate": 0.00021714563106796112, "loss": 0.4412, "step": 4370 }, { "epoch": 1.41, "learning_rate": 0.0002169514563106796, "loss": 0.4629, "step": 4380 }, { "epoch": 1.41, "learning_rate": 0.00021675728155339804, "loss": 0.4536, "step": 4390 }, { "epoch": 1.41, "learning_rate": 0.00021656310679611649, "loss": 0.4208, "step": 4400 }, { "epoch": 1.41, "eval_loss": 0.4719524681568146, "eval_runtime": 524.6738, "eval_samples_per_second": 3.812, "eval_steps_per_second": 0.476, "step": 4400 }, { "epoch": 1.42, "learning_rate": 0.00021636893203883493, "loss": 0.438, "step": 4410 }, { "epoch": 1.42, "learning_rate": 0.00021617475728155338, "loss": 0.4399, "step": 4420 }, { "epoch": 1.42, "learning_rate": 0.00021598058252427182, "loss": 0.4568, "step": 4430 }, { "epoch": 1.43, "learning_rate": 0.00021578640776699027, "loss": 0.4695, "step": 4440 }, { "epoch": 1.43, "learning_rate": 0.00021559223300970871, "loss": 0.4387, "step": 4450 }, { "epoch": 1.43, "learning_rate": 0.0002153980582524272, "loss": 0.4466, "step": 4460 }, { "epoch": 1.44, "learning_rate": 0.00021520388349514563, "loss": 0.4652, "step": 4470 }, { "epoch": 1.44, "learning_rate": 0.00021500970873786408, "loss": 0.4155, "step": 4480 }, { "epoch": 1.44, "learning_rate": 0.00021481553398058253, "loss": 0.4457, "step": 4490 }, { "epoch": 1.45, "learning_rate": 0.00021462135922330094, "loss": 0.4349, "step": 4500 }, { "epoch": 1.45, "learning_rate": 0.0002144271844660194, "loss": 0.4304, "step": 4510 }, { "epoch": 1.45, "learning_rate": 0.00021423300970873784, "loss": 0.4222, "step": 4520 }, { "epoch": 1.46, "learning_rate": 0.00021403883495145628, "loss": 0.4373, "step": 4530 }, { "epoch": 1.46, "learning_rate": 0.00021384466019417473, "loss": 0.4526, "step": 4540 }, { "epoch": 1.46, "learning_rate": 0.00021365048543689317, "loss": 0.4804, "step": 4550 }, { "epoch": 1.47, "learning_rate": 0.00021345631067961162, "loss": 0.468, "step": 4560 }, { "epoch": 1.47, "learning_rate": 0.0002132621359223301, "loss": 0.4664, "step": 4570 }, { "epoch": 1.47, "learning_rate": 0.00021306796116504854, "loss": 0.4688, "step": 4580 }, { "epoch": 1.48, "learning_rate": 0.00021287378640776698, "loss": 0.4262, "step": 4590 }, { "epoch": 1.48, "learning_rate": 0.00021267961165048543, "loss": 0.4431, "step": 4600 }, { "epoch": 1.48, "eval_loss": 0.47054779529571533, "eval_runtime": 526.5834, "eval_samples_per_second": 3.798, "eval_steps_per_second": 0.475, "step": 4600 }, { "epoch": 1.48, "learning_rate": 0.00021248543689320387, "loss": 0.4371, "step": 4610 }, { "epoch": 1.49, "learning_rate": 0.00021229126213592232, "loss": 0.4555, "step": 4620 }, { "epoch": 1.49, "learning_rate": 0.00021209708737864077, "loss": 0.4538, "step": 4630 }, { "epoch": 1.49, "learning_rate": 0.00021190291262135919, "loss": 0.4501, "step": 4640 }, { "epoch": 1.5, "learning_rate": 0.00021170873786407763, "loss": 0.4201, "step": 4650 }, { "epoch": 1.5, "learning_rate": 0.00021151456310679608, "loss": 0.4346, "step": 4660 }, { "epoch": 1.5, "learning_rate": 0.00021132038834951452, "loss": 0.447, "step": 4670 }, { "epoch": 1.5, "learning_rate": 0.000211126213592233, "loss": 0.451, "step": 4680 }, { "epoch": 1.51, "learning_rate": 0.00021093203883495144, "loss": 0.4548, "step": 4690 }, { "epoch": 1.51, "learning_rate": 0.0002107378640776699, "loss": 0.4386, "step": 4700 }, { "epoch": 1.51, "learning_rate": 0.00021054368932038833, "loss": 0.4408, "step": 4710 }, { "epoch": 1.52, "learning_rate": 0.00021034951456310678, "loss": 0.467, "step": 4720 }, { "epoch": 1.52, "learning_rate": 0.00021015533980582522, "loss": 0.4447, "step": 4730 }, { "epoch": 1.52, "learning_rate": 0.00020996116504854367, "loss": 0.4566, "step": 4740 }, { "epoch": 1.53, "learning_rate": 0.00020976699029126212, "loss": 0.4391, "step": 4750 }, { "epoch": 1.53, "learning_rate": 0.00020957281553398056, "loss": 0.4547, "step": 4760 }, { "epoch": 1.53, "learning_rate": 0.00020937864077669904, "loss": 0.4466, "step": 4770 }, { "epoch": 1.54, "learning_rate": 0.00020918446601941748, "loss": 0.4368, "step": 4780 }, { "epoch": 1.54, "learning_rate": 0.0002089902912621359, "loss": 0.446, "step": 4790 }, { "epoch": 1.54, "learning_rate": 0.00020879611650485435, "loss": 0.4228, "step": 4800 }, { "epoch": 1.54, "eval_loss": 0.4704694151878357, "eval_runtime": 522.9734, "eval_samples_per_second": 3.824, "eval_steps_per_second": 0.478, "step": 4800 }, { "epoch": 1.55, "learning_rate": 0.0002086019417475728, "loss": 0.4241, "step": 4810 }, { "epoch": 1.55, "learning_rate": 0.00020840776699029124, "loss": 0.4635, "step": 4820 }, { "epoch": 1.55, "learning_rate": 0.00020821359223300968, "loss": 0.4618, "step": 4830 }, { "epoch": 1.56, "learning_rate": 0.00020801941747572813, "loss": 0.4364, "step": 4840 }, { "epoch": 1.56, "learning_rate": 0.00020782524271844657, "loss": 0.4532, "step": 4850 }, { "epoch": 1.56, "learning_rate": 0.00020763106796116502, "loss": 0.4522, "step": 4860 }, { "epoch": 1.57, "learning_rate": 0.0002074368932038835, "loss": 0.4459, "step": 4870 }, { "epoch": 1.57, "learning_rate": 0.00020724271844660194, "loss": 0.4599, "step": 4880 }, { "epoch": 1.57, "learning_rate": 0.00020704854368932039, "loss": 0.4526, "step": 4890 }, { "epoch": 1.58, "learning_rate": 0.00020685436893203883, "loss": 0.4497, "step": 4900 }, { "epoch": 1.58, "learning_rate": 0.00020666019417475728, "loss": 0.4357, "step": 4910 }, { "epoch": 1.58, "learning_rate": 0.00020646601941747572, "loss": 0.4353, "step": 4920 }, { "epoch": 1.59, "learning_rate": 0.00020627184466019414, "loss": 0.4383, "step": 4930 }, { "epoch": 1.59, "learning_rate": 0.0002060776699029126, "loss": 0.4654, "step": 4940 }, { "epoch": 1.59, "learning_rate": 0.00020588349514563103, "loss": 0.455, "step": 4950 }, { "epoch": 1.59, "learning_rate": 0.00020568932038834948, "loss": 0.4544, "step": 4960 }, { "epoch": 1.6, "learning_rate": 0.00020549514563106792, "loss": 0.4531, "step": 4970 }, { "epoch": 1.6, "learning_rate": 0.0002053009708737864, "loss": 0.4586, "step": 4980 }, { "epoch": 1.6, "learning_rate": 0.00020510679611650484, "loss": 0.4648, "step": 4990 }, { "epoch": 1.61, "learning_rate": 0.0002049126213592233, "loss": 0.4527, "step": 5000 }, { "epoch": 1.61, "eval_loss": 0.47035008668899536, "eval_runtime": 520.9438, "eval_samples_per_second": 3.839, "eval_steps_per_second": 0.48, "step": 5000 }, { "epoch": 1.61, "learning_rate": 0.00020471844660194174, "loss": 0.4497, "step": 5010 }, { "epoch": 1.61, "learning_rate": 0.00020452427184466018, "loss": 0.4321, "step": 5020 }, { "epoch": 1.62, "learning_rate": 0.00020433009708737863, "loss": 0.4548, "step": 5030 }, { "epoch": 1.62, "learning_rate": 0.00020413592233009707, "loss": 0.4687, "step": 5040 }, { "epoch": 1.62, "learning_rate": 0.00020394174757281552, "loss": 0.4773, "step": 5050 }, { "epoch": 1.63, "learning_rate": 0.00020374757281553396, "loss": 0.4692, "step": 5060 }, { "epoch": 1.63, "learning_rate": 0.00020355339805825244, "loss": 0.4443, "step": 5070 }, { "epoch": 1.63, "learning_rate": 0.00020335922330097083, "loss": 0.4751, "step": 5080 }, { "epoch": 1.64, "learning_rate": 0.0002031650485436893, "loss": 0.4473, "step": 5090 }, { "epoch": 1.64, "learning_rate": 0.00020297087378640775, "loss": 0.4551, "step": 5100 }, { "epoch": 1.64, "learning_rate": 0.0002027766990291262, "loss": 0.4753, "step": 5110 }, { "epoch": 1.65, "learning_rate": 0.00020258252427184464, "loss": 0.4325, "step": 5120 }, { "epoch": 1.65, "learning_rate": 0.00020238834951456309, "loss": 0.4563, "step": 5130 }, { "epoch": 1.65, "learning_rate": 0.00020219417475728153, "loss": 0.456, "step": 5140 }, { "epoch": 1.66, "learning_rate": 0.00020199999999999998, "loss": 0.4598, "step": 5150 }, { "epoch": 1.66, "learning_rate": 0.00020180582524271842, "loss": 0.4407, "step": 5160 }, { "epoch": 1.66, "learning_rate": 0.00020161165048543687, "loss": 0.4424, "step": 5170 }, { "epoch": 1.67, "learning_rate": 0.00020141747572815534, "loss": 0.4291, "step": 5180 }, { "epoch": 1.67, "learning_rate": 0.0002012233009708738, "loss": 0.4544, "step": 5190 }, { "epoch": 1.67, "learning_rate": 0.00020102912621359223, "loss": 0.4351, "step": 5200 }, { "epoch": 1.67, "eval_loss": 0.46933242678642273, "eval_runtime": 521.6481, "eval_samples_per_second": 3.834, "eval_steps_per_second": 0.479, "step": 5200 }, { "epoch": 1.68, "learning_rate": 0.00020083495145631068, "loss": 0.4503, "step": 5210 }, { "epoch": 1.68, "learning_rate": 0.0002006407766990291, "loss": 0.4352, "step": 5220 }, { "epoch": 1.68, "learning_rate": 0.00020044660194174754, "loss": 0.4509, "step": 5230 }, { "epoch": 1.68, "learning_rate": 0.000200252427184466, "loss": 0.4656, "step": 5240 }, { "epoch": 1.69, "learning_rate": 0.00020005825242718444, "loss": 0.4578, "step": 5250 }, { "epoch": 1.69, "learning_rate": 0.00019986407766990288, "loss": 0.4338, "step": 5260 }, { "epoch": 1.69, "learning_rate": 0.00019966990291262133, "loss": 0.4285, "step": 5270 }, { "epoch": 1.7, "learning_rate": 0.0001994757281553398, "loss": 0.4219, "step": 5280 }, { "epoch": 1.7, "learning_rate": 0.00019928155339805825, "loss": 0.4709, "step": 5290 }, { "epoch": 1.7, "learning_rate": 0.0001990873786407767, "loss": 0.4335, "step": 5300 }, { "epoch": 1.71, "learning_rate": 0.00019889320388349514, "loss": 0.421, "step": 5310 }, { "epoch": 1.71, "learning_rate": 0.00019869902912621358, "loss": 0.4594, "step": 5320 }, { "epoch": 1.71, "learning_rate": 0.00019850485436893203, "loss": 0.4361, "step": 5330 }, { "epoch": 1.72, "learning_rate": 0.00019831067961165047, "loss": 0.4673, "step": 5340 }, { "epoch": 1.72, "learning_rate": 0.00019811650485436892, "loss": 0.4499, "step": 5350 }, { "epoch": 1.72, "learning_rate": 0.00019792233009708734, "loss": 0.4634, "step": 5360 }, { "epoch": 1.73, "learning_rate": 0.00019772815533980579, "loss": 0.4267, "step": 5370 }, { "epoch": 1.73, "learning_rate": 0.00019753398058252423, "loss": 0.453, "step": 5380 }, { "epoch": 1.73, "learning_rate": 0.0001973398058252427, "loss": 0.4406, "step": 5390 }, { "epoch": 1.74, "learning_rate": 0.00019714563106796115, "loss": 0.4516, "step": 5400 }, { "epoch": 1.74, "eval_loss": 0.4691580832004547, "eval_runtime": 518.7603, "eval_samples_per_second": 3.855, "eval_steps_per_second": 0.482, "step": 5400 }, { "epoch": 1.74, "learning_rate": 0.0001969514563106796, "loss": 0.4744, "step": 5410 }, { "epoch": 1.74, "learning_rate": 0.00019675728155339804, "loss": 0.4744, "step": 5420 }, { "epoch": 1.75, "learning_rate": 0.0001965631067961165, "loss": 0.4546, "step": 5430 }, { "epoch": 1.75, "learning_rate": 0.00019636893203883493, "loss": 0.4553, "step": 5440 }, { "epoch": 1.75, "learning_rate": 0.00019617475728155338, "loss": 0.4562, "step": 5450 }, { "epoch": 1.76, "learning_rate": 0.00019598058252427182, "loss": 0.4426, "step": 5460 }, { "epoch": 1.76, "learning_rate": 0.00019578640776699027, "loss": 0.4425, "step": 5470 }, { "epoch": 1.76, "learning_rate": 0.00019559223300970874, "loss": 0.4288, "step": 5480 }, { "epoch": 1.77, "learning_rate": 0.0001953980582524272, "loss": 0.4413, "step": 5490 }, { "epoch": 1.77, "learning_rate": 0.00019520388349514564, "loss": 0.4488, "step": 5500 }, { "epoch": 1.77, "learning_rate": 0.00019500970873786405, "loss": 0.4461, "step": 5510 }, { "epoch": 1.77, "learning_rate": 0.0001948155339805825, "loss": 0.4361, "step": 5520 }, { "epoch": 1.78, "learning_rate": 0.00019462135922330095, "loss": 0.4146, "step": 5530 }, { "epoch": 1.78, "learning_rate": 0.0001944271844660194, "loss": 0.4378, "step": 5540 }, { "epoch": 1.78, "learning_rate": 0.00019423300970873784, "loss": 0.4375, "step": 5550 }, { "epoch": 1.79, "learning_rate": 0.00019403883495145628, "loss": 0.4541, "step": 5560 }, { "epoch": 1.79, "learning_rate": 0.00019384466019417473, "loss": 0.4228, "step": 5570 }, { "epoch": 1.79, "learning_rate": 0.00019365048543689317, "loss": 0.4349, "step": 5580 }, { "epoch": 1.8, "learning_rate": 0.00019345631067961165, "loss": 0.4401, "step": 5590 }, { "epoch": 1.8, "learning_rate": 0.0001932621359223301, "loss": 0.4494, "step": 5600 }, { "epoch": 1.8, "eval_loss": 0.46821147203445435, "eval_runtime": 516.2558, "eval_samples_per_second": 3.874, "eval_steps_per_second": 0.484, "step": 5600 }, { "epoch": 1.8, "learning_rate": 0.00019306796116504854, "loss": 0.4666, "step": 5610 }, { "epoch": 1.81, "learning_rate": 0.00019287378640776699, "loss": 0.4385, "step": 5620 }, { "epoch": 1.81, "learning_rate": 0.00019267961165048543, "loss": 0.4202, "step": 5630 }, { "epoch": 1.81, "learning_rate": 0.00019248543689320388, "loss": 0.4564, "step": 5640 }, { "epoch": 1.82, "learning_rate": 0.0001922912621359223, "loss": 0.4315, "step": 5650 }, { "epoch": 1.82, "learning_rate": 0.00019209708737864074, "loss": 0.4549, "step": 5660 }, { "epoch": 1.82, "learning_rate": 0.0001919029126213592, "loss": 0.4515, "step": 5670 }, { "epoch": 1.83, "learning_rate": 0.00019170873786407763, "loss": 0.4478, "step": 5680 }, { "epoch": 1.83, "learning_rate": 0.0001915145631067961, "loss": 0.4541, "step": 5690 }, { "epoch": 1.83, "learning_rate": 0.00019132038834951455, "loss": 0.4282, "step": 5700 }, { "epoch": 1.84, "learning_rate": 0.000191126213592233, "loss": 0.4333, "step": 5710 }, { "epoch": 1.84, "learning_rate": 0.00019093203883495144, "loss": 0.4587, "step": 5720 }, { "epoch": 1.84, "learning_rate": 0.0001907378640776699, "loss": 0.4671, "step": 5730 }, { "epoch": 1.85, "learning_rate": 0.00019054368932038834, "loss": 0.4618, "step": 5740 }, { "epoch": 1.85, "learning_rate": 0.00019034951456310678, "loss": 0.4576, "step": 5750 }, { "epoch": 1.85, "learning_rate": 0.00019015533980582523, "loss": 0.4435, "step": 5760 }, { "epoch": 1.86, "learning_rate": 0.00018996116504854367, "loss": 0.4311, "step": 5770 }, { "epoch": 1.86, "learning_rate": 0.00018976699029126215, "loss": 0.4414, "step": 5780 }, { "epoch": 1.86, "learning_rate": 0.0001895728155339806, "loss": 0.455, "step": 5790 }, { "epoch": 1.86, "learning_rate": 0.000189378640776699, "loss": 0.47, "step": 5800 }, { "epoch": 1.86, "eval_loss": 0.46795403957366943, "eval_runtime": 528.6661, "eval_samples_per_second": 3.783, "eval_steps_per_second": 0.473, "step": 5800 }, { "epoch": 1.87, "learning_rate": 0.00018918446601941746, "loss": 0.4624, "step": 5810 }, { "epoch": 1.87, "learning_rate": 0.0001889902912621359, "loss": 0.4606, "step": 5820 }, { "epoch": 1.87, "learning_rate": 0.00018879611650485435, "loss": 0.4533, "step": 5830 }, { "epoch": 1.88, "learning_rate": 0.0001886019417475728, "loss": 0.4458, "step": 5840 }, { "epoch": 1.88, "learning_rate": 0.00018840776699029124, "loss": 0.4455, "step": 5850 }, { "epoch": 1.88, "learning_rate": 0.00018821359223300968, "loss": 0.4416, "step": 5860 }, { "epoch": 1.89, "learning_rate": 0.00018801941747572813, "loss": 0.4364, "step": 5870 }, { "epoch": 1.89, "learning_rate": 0.00018782524271844658, "loss": 0.4537, "step": 5880 }, { "epoch": 1.89, "learning_rate": 0.00018763106796116505, "loss": 0.4368, "step": 5890 }, { "epoch": 1.9, "learning_rate": 0.0001874368932038835, "loss": 0.4618, "step": 5900 }, { "epoch": 1.9, "learning_rate": 0.00018724271844660194, "loss": 0.4295, "step": 5910 }, { "epoch": 1.9, "learning_rate": 0.0001870485436893204, "loss": 0.437, "step": 5920 }, { "epoch": 1.91, "learning_rate": 0.00018685436893203883, "loss": 0.4455, "step": 5930 }, { "epoch": 1.91, "learning_rate": 0.00018666019417475725, "loss": 0.4536, "step": 5940 }, { "epoch": 1.91, "learning_rate": 0.0001864660194174757, "loss": 0.4268, "step": 5950 }, { "epoch": 1.92, "learning_rate": 0.00018627184466019414, "loss": 0.4446, "step": 5960 }, { "epoch": 1.92, "learning_rate": 0.0001860776699029126, "loss": 0.4402, "step": 5970 }, { "epoch": 1.92, "learning_rate": 0.00018588349514563103, "loss": 0.4461, "step": 5980 }, { "epoch": 1.93, "learning_rate": 0.00018568932038834948, "loss": 0.4428, "step": 5990 }, { "epoch": 1.93, "learning_rate": 0.00018549514563106795, "loss": 0.4511, "step": 6000 }, { "epoch": 1.93, "eval_loss": 0.46734848618507385, "eval_runtime": 541.2095, "eval_samples_per_second": 3.695, "eval_steps_per_second": 0.462, "step": 6000 }, { "epoch": 1.93, "learning_rate": 0.0001853009708737864, "loss": 0.4351, "step": 6010 }, { "epoch": 1.94, "learning_rate": 0.00018510679611650485, "loss": 0.4829, "step": 6020 }, { "epoch": 1.94, "learning_rate": 0.0001849126213592233, "loss": 0.4493, "step": 6030 }, { "epoch": 1.94, "learning_rate": 0.00018471844660194174, "loss": 0.4435, "step": 6040 }, { "epoch": 1.95, "learning_rate": 0.00018452427184466018, "loss": 0.4295, "step": 6050 }, { "epoch": 1.95, "learning_rate": 0.00018433009708737863, "loss": 0.4416, "step": 6060 }, { "epoch": 1.95, "learning_rate": 0.00018413592233009707, "loss": 0.4233, "step": 6070 }, { "epoch": 1.95, "learning_rate": 0.00018394174757281555, "loss": 0.4569, "step": 6080 }, { "epoch": 1.96, "learning_rate": 0.00018374757281553394, "loss": 0.4402, "step": 6090 }, { "epoch": 1.96, "learning_rate": 0.0001835533980582524, "loss": 0.4358, "step": 6100 }, { "epoch": 1.96, "learning_rate": 0.00018335922330097086, "loss": 0.4552, "step": 6110 }, { "epoch": 1.97, "learning_rate": 0.0001831650485436893, "loss": 0.4475, "step": 6120 }, { "epoch": 1.97, "learning_rate": 0.00018297087378640775, "loss": 0.4479, "step": 6130 }, { "epoch": 1.97, "learning_rate": 0.0001827766990291262, "loss": 0.4538, "step": 6140 }, { "epoch": 1.98, "learning_rate": 0.00018258252427184464, "loss": 0.4635, "step": 6150 }, { "epoch": 1.98, "learning_rate": 0.0001823883495145631, "loss": 0.4366, "step": 6160 }, { "epoch": 1.98, "learning_rate": 0.00018219417475728153, "loss": 0.4194, "step": 6170 }, { "epoch": 1.99, "learning_rate": 0.00018199999999999998, "loss": 0.4795, "step": 6180 }, { "epoch": 1.99, "learning_rate": 0.00018180582524271845, "loss": 0.4484, "step": 6190 }, { "epoch": 1.99, "learning_rate": 0.0001816116504854369, "loss": 0.4451, "step": 6200 }, { "epoch": 1.99, "eval_loss": 0.4666987955570221, "eval_runtime": 560.4767, "eval_samples_per_second": 3.568, "eval_steps_per_second": 0.446, "step": 6200 } ], "logging_steps": 10, "max_steps": 15550, "num_train_epochs": 5, "save_steps": 200, "total_flos": 1.5245364281459343e+18, "trial_name": null, "trial_params": null }