{ "best_metric": 1.153731107711792, "best_model_checkpoint": "outputs/checkpoint-2000", "epoch": 0.64, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 1e-05, "loss": 1.8184, "step": 5 }, { "epoch": 0.0, "learning_rate": 2e-05, "loss": 1.7858, "step": 10 }, { "epoch": 0.0, "learning_rate": 3e-05, "loss": 1.7218, "step": 15 }, { "epoch": 0.01, "learning_rate": 4e-05, "loss": 1.7218, "step": 20 }, { "epoch": 0.01, "learning_rate": 5e-05, "loss": 1.7009, "step": 25 }, { "epoch": 0.01, "learning_rate": 6e-05, "loss": 1.6714, "step": 30 }, { "epoch": 0.01, "learning_rate": 7e-05, "loss": 1.6582, "step": 35 }, { "epoch": 0.01, "learning_rate": 8e-05, "loss": 1.5659, "step": 40 }, { "epoch": 0.01, "learning_rate": 9e-05, "loss": 1.5343, "step": 45 }, { "epoch": 0.02, "learning_rate": 0.0001, "loss": 1.5252, "step": 50 }, { "epoch": 0.02, "learning_rate": 0.00011000000000000002, "loss": 1.414, "step": 55 }, { "epoch": 0.02, "learning_rate": 0.00012, "loss": 1.3919, "step": 60 }, { "epoch": 0.02, "learning_rate": 0.00013000000000000002, "loss": 1.352, "step": 65 }, { "epoch": 0.02, "learning_rate": 0.00014, "loss": 1.3762, "step": 70 }, { "epoch": 0.02, "learning_rate": 0.00015000000000000001, "loss": 1.3238, "step": 75 }, { "epoch": 0.03, "learning_rate": 0.00016, "loss": 1.3306, "step": 80 }, { "epoch": 0.03, "learning_rate": 0.00017, "loss": 1.3423, "step": 85 }, { "epoch": 0.03, "learning_rate": 0.00018, "loss": 1.3199, "step": 90 }, { "epoch": 0.03, "learning_rate": 0.00019, "loss": 1.3506, "step": 95 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 1.3315, "step": 100 }, { "epoch": 0.03, "learning_rate": 0.0001998921832884097, "loss": 1.3142, "step": 105 }, { "epoch": 0.04, "learning_rate": 0.00019978436657681943, "loss": 1.2994, "step": 110 }, { "epoch": 0.04, "learning_rate": 0.00019967654986522912, "loss": 1.2972, "step": 115 }, { "epoch": 0.04, "learning_rate": 0.00019956873315363883, "loss": 1.3135, "step": 120 }, { "epoch": 0.04, "learning_rate": 0.00019946091644204851, "loss": 1.2903, "step": 125 }, { "epoch": 0.04, "learning_rate": 0.00019935309973045823, "loss": 1.2783, "step": 130 }, { "epoch": 0.04, "learning_rate": 0.00019924528301886794, "loss": 1.3044, "step": 135 }, { "epoch": 0.04, "learning_rate": 0.00019913746630727762, "loss": 1.2947, "step": 140 }, { "epoch": 0.05, "learning_rate": 0.00019902964959568736, "loss": 1.2759, "step": 145 }, { "epoch": 0.05, "learning_rate": 0.00019892183288409705, "loss": 1.2746, "step": 150 }, { "epoch": 0.05, "learning_rate": 0.00019881401617250676, "loss": 1.2869, "step": 155 }, { "epoch": 0.05, "learning_rate": 0.00019870619946091644, "loss": 1.26, "step": 160 }, { "epoch": 0.05, "learning_rate": 0.00019859838274932616, "loss": 1.258, "step": 165 }, { "epoch": 0.05, "learning_rate": 0.00019849056603773587, "loss": 1.2649, "step": 170 }, { "epoch": 0.06, "learning_rate": 0.00019838274932614555, "loss": 1.2549, "step": 175 }, { "epoch": 0.06, "learning_rate": 0.00019827493261455526, "loss": 1.2859, "step": 180 }, { "epoch": 0.06, "learning_rate": 0.00019816711590296498, "loss": 1.2934, "step": 185 }, { "epoch": 0.06, "learning_rate": 0.00019805929919137466, "loss": 1.3011, "step": 190 }, { "epoch": 0.06, "learning_rate": 0.00019795148247978437, "loss": 1.2304, "step": 195 }, { "epoch": 0.06, "learning_rate": 0.00019784366576819408, "loss": 1.2849, "step": 200 }, { "epoch": 0.06, "eval_loss": 1.2345943450927734, "eval_runtime": 710.2534, "eval_samples_per_second": 7.04, "eval_steps_per_second": 0.88, "step": 200 }, { "epoch": 0.07, "learning_rate": 0.0001977358490566038, "loss": 1.2726, "step": 205 }, { "epoch": 0.07, "learning_rate": 0.00019762803234501348, "loss": 1.2996, "step": 210 }, { "epoch": 0.07, "learning_rate": 0.0001975202156334232, "loss": 1.2456, "step": 215 }, { "epoch": 0.07, "learning_rate": 0.0001974123989218329, "loss": 1.2794, "step": 220 }, { "epoch": 0.07, "learning_rate": 0.0001973045822102426, "loss": 1.2637, "step": 225 }, { "epoch": 0.07, "learning_rate": 0.0001971967654986523, "loss": 1.252, "step": 230 }, { "epoch": 0.08, "learning_rate": 0.000197088948787062, "loss": 1.2492, "step": 235 }, { "epoch": 0.08, "learning_rate": 0.0001969811320754717, "loss": 1.2972, "step": 240 }, { "epoch": 0.08, "learning_rate": 0.0001968733153638814, "loss": 1.3023, "step": 245 }, { "epoch": 0.08, "learning_rate": 0.00019676549865229112, "loss": 1.2682, "step": 250 }, { "epoch": 0.08, "learning_rate": 0.00019665768194070083, "loss": 1.2981, "step": 255 }, { "epoch": 0.08, "learning_rate": 0.00019654986522911052, "loss": 1.3084, "step": 260 }, { "epoch": 0.08, "learning_rate": 0.00019644204851752023, "loss": 1.2666, "step": 265 }, { "epoch": 0.09, "learning_rate": 0.00019633423180592994, "loss": 1.2623, "step": 270 }, { "epoch": 0.09, "learning_rate": 0.00019622641509433963, "loss": 1.2406, "step": 275 }, { "epoch": 0.09, "learning_rate": 0.00019611859838274934, "loss": 1.2623, "step": 280 }, { "epoch": 0.09, "learning_rate": 0.00019601078167115905, "loss": 1.2562, "step": 285 }, { "epoch": 0.09, "learning_rate": 0.00019590296495956873, "loss": 1.2166, "step": 290 }, { "epoch": 0.09, "learning_rate": 0.00019579514824797845, "loss": 1.2931, "step": 295 }, { "epoch": 0.1, "learning_rate": 0.00019568733153638813, "loss": 1.2354, "step": 300 }, { "epoch": 0.1, "learning_rate": 0.00019557951482479787, "loss": 1.2246, "step": 305 }, { "epoch": 0.1, "learning_rate": 0.00019547169811320755, "loss": 1.2236, "step": 310 }, { "epoch": 0.1, "learning_rate": 0.00019536388140161727, "loss": 1.2442, "step": 315 }, { "epoch": 0.1, "learning_rate": 0.00019525606469002698, "loss": 1.2779, "step": 320 }, { "epoch": 0.1, "learning_rate": 0.00019514824797843666, "loss": 1.2285, "step": 325 }, { "epoch": 0.11, "learning_rate": 0.00019504043126684637, "loss": 1.2157, "step": 330 }, { "epoch": 0.11, "learning_rate": 0.00019493261455525606, "loss": 1.2405, "step": 335 }, { "epoch": 0.11, "learning_rate": 0.0001948247978436658, "loss": 1.2335, "step": 340 }, { "epoch": 0.11, "learning_rate": 0.00019471698113207548, "loss": 1.2401, "step": 345 }, { "epoch": 0.11, "learning_rate": 0.00019460916442048517, "loss": 1.2521, "step": 350 }, { "epoch": 0.11, "learning_rate": 0.0001945013477088949, "loss": 1.2386, "step": 355 }, { "epoch": 0.12, "learning_rate": 0.0001943935309973046, "loss": 1.2196, "step": 360 }, { "epoch": 0.12, "learning_rate": 0.0001942857142857143, "loss": 1.192, "step": 365 }, { "epoch": 0.12, "learning_rate": 0.000194177897574124, "loss": 1.1964, "step": 370 }, { "epoch": 0.12, "learning_rate": 0.0001940700808625337, "loss": 1.2876, "step": 375 }, { "epoch": 0.12, "learning_rate": 0.0001939622641509434, "loss": 1.2622, "step": 380 }, { "epoch": 0.12, "learning_rate": 0.0001938544474393531, "loss": 1.2183, "step": 385 }, { "epoch": 0.12, "learning_rate": 0.00019374663072776284, "loss": 1.206, "step": 390 }, { "epoch": 0.13, "learning_rate": 0.00019363881401617252, "loss": 1.2697, "step": 395 }, { "epoch": 0.13, "learning_rate": 0.0001935309973045822, "loss": 1.2515, "step": 400 }, { "epoch": 0.13, "eval_loss": 1.207701563835144, "eval_runtime": 709.7794, "eval_samples_per_second": 7.044, "eval_steps_per_second": 0.881, "step": 400 }, { "epoch": 0.13, "learning_rate": 0.00019342318059299192, "loss": 1.2596, "step": 405 }, { "epoch": 0.13, "learning_rate": 0.00019331536388140163, "loss": 1.2537, "step": 410 }, { "epoch": 0.13, "learning_rate": 0.00019320754716981134, "loss": 1.2545, "step": 415 }, { "epoch": 0.13, "learning_rate": 0.00019309973045822103, "loss": 1.2473, "step": 420 }, { "epoch": 0.14, "learning_rate": 0.00019299191374663074, "loss": 1.2308, "step": 425 }, { "epoch": 0.14, "learning_rate": 0.00019288409703504045, "loss": 1.2482, "step": 430 }, { "epoch": 0.14, "learning_rate": 0.00019277628032345013, "loss": 1.2342, "step": 435 }, { "epoch": 0.14, "learning_rate": 0.00019266846361185985, "loss": 1.2101, "step": 440 }, { "epoch": 0.14, "learning_rate": 0.00019256064690026956, "loss": 1.233, "step": 445 }, { "epoch": 0.14, "learning_rate": 0.00019245283018867927, "loss": 1.2401, "step": 450 }, { "epoch": 0.15, "learning_rate": 0.00019234501347708895, "loss": 1.2088, "step": 455 }, { "epoch": 0.15, "learning_rate": 0.00019223719676549864, "loss": 1.2205, "step": 460 }, { "epoch": 0.15, "learning_rate": 0.00019212938005390838, "loss": 1.218, "step": 465 }, { "epoch": 0.15, "learning_rate": 0.00019202156334231806, "loss": 1.2208, "step": 470 }, { "epoch": 0.15, "learning_rate": 0.00019191374663072777, "loss": 1.2783, "step": 475 }, { "epoch": 0.15, "learning_rate": 0.00019180592991913749, "loss": 1.1886, "step": 480 }, { "epoch": 0.16, "learning_rate": 0.00019169811320754717, "loss": 1.1939, "step": 485 }, { "epoch": 0.16, "learning_rate": 0.00019159029649595688, "loss": 1.2079, "step": 490 }, { "epoch": 0.16, "learning_rate": 0.00019148247978436657, "loss": 1.2473, "step": 495 }, { "epoch": 0.16, "learning_rate": 0.0001913746630727763, "loss": 1.2295, "step": 500 }, { "epoch": 0.16, "learning_rate": 0.000191266846361186, "loss": 1.2064, "step": 505 }, { "epoch": 0.16, "learning_rate": 0.00019115902964959568, "loss": 1.2138, "step": 510 }, { "epoch": 0.16, "learning_rate": 0.00019105121293800541, "loss": 1.2618, "step": 515 }, { "epoch": 0.17, "learning_rate": 0.0001909433962264151, "loss": 1.2495, "step": 520 }, { "epoch": 0.17, "learning_rate": 0.0001908355795148248, "loss": 1.2553, "step": 525 }, { "epoch": 0.17, "learning_rate": 0.0001907277628032345, "loss": 1.2334, "step": 530 }, { "epoch": 0.17, "learning_rate": 0.0001906199460916442, "loss": 1.2442, "step": 535 }, { "epoch": 0.17, "learning_rate": 0.00019051212938005392, "loss": 1.2301, "step": 540 }, { "epoch": 0.17, "learning_rate": 0.0001904043126684636, "loss": 1.2678, "step": 545 }, { "epoch": 0.18, "learning_rate": 0.00019029649595687334, "loss": 1.2116, "step": 550 }, { "epoch": 0.18, "learning_rate": 0.00019018867924528303, "loss": 1.2556, "step": 555 }, { "epoch": 0.18, "learning_rate": 0.00019008086253369274, "loss": 1.2427, "step": 560 }, { "epoch": 0.18, "learning_rate": 0.00018997304582210242, "loss": 1.2138, "step": 565 }, { "epoch": 0.18, "learning_rate": 0.00018986522911051214, "loss": 1.248, "step": 570 }, { "epoch": 0.18, "learning_rate": 0.00018975741239892185, "loss": 1.2415, "step": 575 }, { "epoch": 0.19, "learning_rate": 0.00018964959568733153, "loss": 1.2303, "step": 580 }, { "epoch": 0.19, "learning_rate": 0.00018954177897574125, "loss": 1.1939, "step": 585 }, { "epoch": 0.19, "learning_rate": 0.00018943396226415096, "loss": 1.1927, "step": 590 }, { "epoch": 0.19, "learning_rate": 0.00018932614555256064, "loss": 1.1982, "step": 595 }, { "epoch": 0.19, "learning_rate": 0.00018921832884097035, "loss": 1.1859, "step": 600 }, { "epoch": 0.19, "eval_loss": 1.1948214769363403, "eval_runtime": 709.3061, "eval_samples_per_second": 7.049, "eval_steps_per_second": 0.881, "step": 600 }, { "epoch": 0.19, "learning_rate": 0.00018911051212938007, "loss": 1.2265, "step": 605 }, { "epoch": 0.2, "learning_rate": 0.00018900269541778978, "loss": 1.2402, "step": 610 }, { "epoch": 0.2, "learning_rate": 0.00018889487870619946, "loss": 1.2261, "step": 615 }, { "epoch": 0.2, "learning_rate": 0.00018878706199460917, "loss": 1.2264, "step": 620 }, { "epoch": 0.2, "learning_rate": 0.00018867924528301889, "loss": 1.2044, "step": 625 }, { "epoch": 0.2, "learning_rate": 0.00018857142857142857, "loss": 1.2203, "step": 630 }, { "epoch": 0.2, "learning_rate": 0.00018846361185983828, "loss": 1.2258, "step": 635 }, { "epoch": 0.2, "learning_rate": 0.000188355795148248, "loss": 1.2475, "step": 640 }, { "epoch": 0.21, "learning_rate": 0.00018824797843665768, "loss": 1.239, "step": 645 }, { "epoch": 0.21, "learning_rate": 0.0001881401617250674, "loss": 1.2374, "step": 650 }, { "epoch": 0.21, "learning_rate": 0.0001880323450134771, "loss": 1.2472, "step": 655 }, { "epoch": 0.21, "learning_rate": 0.00018792452830188681, "loss": 1.2411, "step": 660 }, { "epoch": 0.21, "learning_rate": 0.0001878167115902965, "loss": 1.1916, "step": 665 }, { "epoch": 0.21, "learning_rate": 0.0001877088948787062, "loss": 1.2043, "step": 670 }, { "epoch": 0.22, "learning_rate": 0.00018760107816711592, "loss": 1.2087, "step": 675 }, { "epoch": 0.22, "learning_rate": 0.0001874932614555256, "loss": 1.2147, "step": 680 }, { "epoch": 0.22, "learning_rate": 0.00018738544474393532, "loss": 1.1999, "step": 685 }, { "epoch": 0.22, "learning_rate": 0.00018727762803234503, "loss": 1.2031, "step": 690 }, { "epoch": 0.22, "learning_rate": 0.00018716981132075472, "loss": 1.268, "step": 695 }, { "epoch": 0.22, "learning_rate": 0.00018706199460916443, "loss": 1.2181, "step": 700 }, { "epoch": 0.23, "learning_rate": 0.0001869541778975741, "loss": 1.2187, "step": 705 }, { "epoch": 0.23, "learning_rate": 0.00018684636118598385, "loss": 1.2475, "step": 710 }, { "epoch": 0.23, "learning_rate": 0.00018673854447439354, "loss": 1.2043, "step": 715 }, { "epoch": 0.23, "learning_rate": 0.00018663072776280325, "loss": 1.1833, "step": 720 }, { "epoch": 0.23, "learning_rate": 0.00018652291105121296, "loss": 1.1899, "step": 725 }, { "epoch": 0.23, "learning_rate": 0.00018641509433962264, "loss": 1.232, "step": 730 }, { "epoch": 0.24, "learning_rate": 0.00018630727762803236, "loss": 1.1885, "step": 735 }, { "epoch": 0.24, "learning_rate": 0.00018619946091644204, "loss": 1.2087, "step": 740 }, { "epoch": 0.24, "learning_rate": 0.00018609164420485178, "loss": 1.2433, "step": 745 }, { "epoch": 0.24, "learning_rate": 0.00018598382749326146, "loss": 1.2233, "step": 750 }, { "epoch": 0.24, "learning_rate": 0.00018587601078167115, "loss": 1.2348, "step": 755 }, { "epoch": 0.24, "learning_rate": 0.0001857681940700809, "loss": 1.1667, "step": 760 }, { "epoch": 0.24, "learning_rate": 0.00018566037735849057, "loss": 1.2952, "step": 765 }, { "epoch": 0.25, "learning_rate": 0.00018555256064690029, "loss": 1.1939, "step": 770 }, { "epoch": 0.25, "learning_rate": 0.00018544474393530997, "loss": 1.1646, "step": 775 }, { "epoch": 0.25, "learning_rate": 0.00018533692722371968, "loss": 1.2055, "step": 780 }, { "epoch": 0.25, "learning_rate": 0.0001852291105121294, "loss": 1.183, "step": 785 }, { "epoch": 0.25, "learning_rate": 0.00018512129380053908, "loss": 1.2367, "step": 790 }, { "epoch": 0.25, "learning_rate": 0.00018501347708894882, "loss": 1.2265, "step": 795 }, { "epoch": 0.26, "learning_rate": 0.0001849056603773585, "loss": 1.2007, "step": 800 }, { "epoch": 0.26, "eval_loss": 1.184471845626831, "eval_runtime": 708.4336, "eval_samples_per_second": 7.058, "eval_steps_per_second": 0.882, "step": 800 }, { "epoch": 0.26, "learning_rate": 0.0001847978436657682, "loss": 1.204, "step": 805 }, { "epoch": 0.26, "learning_rate": 0.0001846900269541779, "loss": 1.2379, "step": 810 }, { "epoch": 0.26, "learning_rate": 0.0001845822102425876, "loss": 1.157, "step": 815 }, { "epoch": 0.26, "learning_rate": 0.00018447439353099732, "loss": 1.2072, "step": 820 }, { "epoch": 0.26, "learning_rate": 0.000184366576819407, "loss": 1.1764, "step": 825 }, { "epoch": 0.27, "learning_rate": 0.00018425876010781672, "loss": 1.21, "step": 830 }, { "epoch": 0.27, "learning_rate": 0.00018415094339622643, "loss": 1.19, "step": 835 }, { "epoch": 0.27, "learning_rate": 0.00018404312668463612, "loss": 1.1923, "step": 840 }, { "epoch": 0.27, "learning_rate": 0.00018393530997304583, "loss": 1.2367, "step": 845 }, { "epoch": 0.27, "learning_rate": 0.00018382749326145554, "loss": 1.2394, "step": 850 }, { "epoch": 0.27, "learning_rate": 0.00018371967654986525, "loss": 1.2275, "step": 855 }, { "epoch": 0.28, "learning_rate": 0.00018361185983827494, "loss": 1.2206, "step": 860 }, { "epoch": 0.28, "learning_rate": 0.00018350404312668465, "loss": 1.2017, "step": 865 }, { "epoch": 0.28, "learning_rate": 0.00018339622641509436, "loss": 1.2277, "step": 870 }, { "epoch": 0.28, "learning_rate": 0.00018328840970350404, "loss": 1.1958, "step": 875 }, { "epoch": 0.28, "learning_rate": 0.00018318059299191376, "loss": 1.2317, "step": 880 }, { "epoch": 0.28, "learning_rate": 0.00018307277628032347, "loss": 1.2339, "step": 885 }, { "epoch": 0.28, "learning_rate": 0.00018296495956873315, "loss": 1.2408, "step": 890 }, { "epoch": 0.29, "learning_rate": 0.00018285714285714286, "loss": 1.1818, "step": 895 }, { "epoch": 0.29, "learning_rate": 0.00018274932614555258, "loss": 1.2051, "step": 900 }, { "epoch": 0.29, "learning_rate": 0.0001826415094339623, "loss": 1.2304, "step": 905 }, { "epoch": 0.29, "learning_rate": 0.00018253369272237197, "loss": 1.1717, "step": 910 }, { "epoch": 0.29, "learning_rate": 0.00018242587601078168, "loss": 1.1811, "step": 915 }, { "epoch": 0.29, "learning_rate": 0.0001823180592991914, "loss": 1.2127, "step": 920 }, { "epoch": 0.3, "learning_rate": 0.00018221024258760108, "loss": 1.2278, "step": 925 }, { "epoch": 0.3, "learning_rate": 0.0001821024258760108, "loss": 1.223, "step": 930 }, { "epoch": 0.3, "learning_rate": 0.0001819946091644205, "loss": 1.233, "step": 935 }, { "epoch": 0.3, "learning_rate": 0.0001818867924528302, "loss": 1.2321, "step": 940 }, { "epoch": 0.3, "learning_rate": 0.0001817789757412399, "loss": 1.1894, "step": 945 }, { "epoch": 0.3, "learning_rate": 0.00018167115902964959, "loss": 1.2213, "step": 950 }, { "epoch": 0.31, "learning_rate": 0.00018156334231805933, "loss": 1.2444, "step": 955 }, { "epoch": 0.31, "learning_rate": 0.000181455525606469, "loss": 1.1988, "step": 960 }, { "epoch": 0.31, "learning_rate": 0.00018134770889487872, "loss": 1.2039, "step": 965 }, { "epoch": 0.31, "learning_rate": 0.00018123989218328843, "loss": 1.1972, "step": 970 }, { "epoch": 0.31, "learning_rate": 0.00018113207547169812, "loss": 1.2146, "step": 975 }, { "epoch": 0.31, "learning_rate": 0.00018102425876010783, "loss": 1.2346, "step": 980 }, { "epoch": 0.32, "learning_rate": 0.00018091644204851751, "loss": 1.2283, "step": 985 }, { "epoch": 0.32, "learning_rate": 0.00018080862533692723, "loss": 1.201, "step": 990 }, { "epoch": 0.32, "learning_rate": 0.00018070080862533694, "loss": 1.2149, "step": 995 }, { "epoch": 0.32, "learning_rate": 0.00018059299191374662, "loss": 1.2085, "step": 1000 }, { "epoch": 0.32, "eval_loss": 1.176331877708435, "eval_runtime": 709.1565, "eval_samples_per_second": 7.051, "eval_steps_per_second": 0.881, "step": 1000 }, { "epoch": 0.32, "learning_rate": 0.00018048517520215636, "loss": 1.2484, "step": 1005 }, { "epoch": 0.32, "learning_rate": 0.00018037735849056605, "loss": 1.2193, "step": 1010 }, { "epoch": 0.32, "learning_rate": 0.00018026954177897576, "loss": 1.1733, "step": 1015 }, { "epoch": 0.33, "learning_rate": 0.00018016172506738544, "loss": 1.2152, "step": 1020 }, { "epoch": 0.33, "learning_rate": 0.00018005390835579516, "loss": 1.1688, "step": 1025 }, { "epoch": 0.33, "learning_rate": 0.00017994609164420487, "loss": 1.1893, "step": 1030 }, { "epoch": 0.33, "learning_rate": 0.00017983827493261455, "loss": 1.1483, "step": 1035 }, { "epoch": 0.33, "learning_rate": 0.0001797304582210243, "loss": 1.189, "step": 1040 }, { "epoch": 0.33, "learning_rate": 0.00017962264150943398, "loss": 1.1873, "step": 1045 }, { "epoch": 0.34, "learning_rate": 0.00017951482479784366, "loss": 1.1883, "step": 1050 }, { "epoch": 0.34, "learning_rate": 0.00017940700808625337, "loss": 1.1741, "step": 1055 }, { "epoch": 0.34, "learning_rate": 0.00017929919137466308, "loss": 1.2546, "step": 1060 }, { "epoch": 0.34, "learning_rate": 0.0001791913746630728, "loss": 1.2194, "step": 1065 }, { "epoch": 0.34, "learning_rate": 0.00017908355795148248, "loss": 1.1945, "step": 1070 }, { "epoch": 0.34, "learning_rate": 0.0001789757412398922, "loss": 1.2011, "step": 1075 }, { "epoch": 0.35, "learning_rate": 0.0001788679245283019, "loss": 1.1836, "step": 1080 }, { "epoch": 0.35, "learning_rate": 0.0001787601078167116, "loss": 1.2116, "step": 1085 }, { "epoch": 0.35, "learning_rate": 0.0001786522911051213, "loss": 1.1983, "step": 1090 }, { "epoch": 0.35, "learning_rate": 0.000178544474393531, "loss": 1.2095, "step": 1095 }, { "epoch": 0.35, "learning_rate": 0.0001784366576819407, "loss": 1.2007, "step": 1100 }, { "epoch": 0.35, "learning_rate": 0.0001783288409703504, "loss": 1.1936, "step": 1105 }, { "epoch": 0.36, "learning_rate": 0.0001782210242587601, "loss": 1.2207, "step": 1110 }, { "epoch": 0.36, "learning_rate": 0.00017811320754716983, "loss": 1.2016, "step": 1115 }, { "epoch": 0.36, "learning_rate": 0.00017800539083557952, "loss": 1.2013, "step": 1120 }, { "epoch": 0.36, "learning_rate": 0.00017789757412398923, "loss": 1.1794, "step": 1125 }, { "epoch": 0.36, "learning_rate": 0.00017778975741239894, "loss": 1.235, "step": 1130 }, { "epoch": 0.36, "learning_rate": 0.00017768194070080863, "loss": 1.1865, "step": 1135 }, { "epoch": 0.36, "learning_rate": 0.00017757412398921834, "loss": 1.2159, "step": 1140 }, { "epoch": 0.37, "learning_rate": 0.00017746630727762802, "loss": 1.1887, "step": 1145 }, { "epoch": 0.37, "learning_rate": 0.00017735849056603776, "loss": 1.1923, "step": 1150 }, { "epoch": 0.37, "learning_rate": 0.00017725067385444745, "loss": 1.1894, "step": 1155 }, { "epoch": 0.37, "learning_rate": 0.00017714285714285713, "loss": 1.1863, "step": 1160 }, { "epoch": 0.37, "learning_rate": 0.00017703504043126687, "loss": 1.2128, "step": 1165 }, { "epoch": 0.37, "learning_rate": 0.00017692722371967655, "loss": 1.214, "step": 1170 }, { "epoch": 0.38, "learning_rate": 0.00017681940700808627, "loss": 1.2083, "step": 1175 }, { "epoch": 0.38, "learning_rate": 0.00017671159029649595, "loss": 1.2252, "step": 1180 }, { "epoch": 0.38, "learning_rate": 0.00017660377358490566, "loss": 1.1818, "step": 1185 }, { "epoch": 0.38, "learning_rate": 0.00017649595687331538, "loss": 1.2334, "step": 1190 }, { "epoch": 0.38, "learning_rate": 0.00017638814016172506, "loss": 1.1752, "step": 1195 }, { "epoch": 0.38, "learning_rate": 0.0001762803234501348, "loss": 1.2036, "step": 1200 }, { "epoch": 0.38, "eval_loss": 1.1710153818130493, "eval_runtime": 708.8537, "eval_samples_per_second": 7.054, "eval_steps_per_second": 0.882, "step": 1200 }, { "epoch": 0.39, "learning_rate": 0.00017617250673854448, "loss": 1.2283, "step": 1205 }, { "epoch": 0.39, "learning_rate": 0.0001760646900269542, "loss": 1.2464, "step": 1210 }, { "epoch": 0.39, "learning_rate": 0.00017595687331536388, "loss": 1.2126, "step": 1215 }, { "epoch": 0.39, "learning_rate": 0.0001758490566037736, "loss": 1.2217, "step": 1220 }, { "epoch": 0.39, "learning_rate": 0.0001757412398921833, "loss": 1.2245, "step": 1225 }, { "epoch": 0.39, "learning_rate": 0.000175633423180593, "loss": 1.1941, "step": 1230 }, { "epoch": 0.4, "learning_rate": 0.0001755256064690027, "loss": 1.2041, "step": 1235 }, { "epoch": 0.4, "learning_rate": 0.0001754177897574124, "loss": 1.2076, "step": 1240 }, { "epoch": 0.4, "learning_rate": 0.0001753099730458221, "loss": 1.2154, "step": 1245 }, { "epoch": 0.4, "learning_rate": 0.0001752021563342318, "loss": 1.2247, "step": 1250 }, { "epoch": 0.4, "learning_rate": 0.00017509433962264152, "loss": 1.1822, "step": 1255 }, { "epoch": 0.4, "learning_rate": 0.00017498652291105123, "loss": 1.2015, "step": 1260 }, { "epoch": 0.4, "learning_rate": 0.00017487870619946092, "loss": 1.2111, "step": 1265 }, { "epoch": 0.41, "learning_rate": 0.00017477088948787063, "loss": 1.1946, "step": 1270 }, { "epoch": 0.41, "learning_rate": 0.00017466307277628034, "loss": 1.1365, "step": 1275 }, { "epoch": 0.41, "learning_rate": 0.00017455525606469003, "loss": 1.1742, "step": 1280 }, { "epoch": 0.41, "learning_rate": 0.00017444743935309974, "loss": 1.2442, "step": 1285 }, { "epoch": 0.41, "learning_rate": 0.00017433962264150945, "loss": 1.2095, "step": 1290 }, { "epoch": 0.41, "learning_rate": 0.00017423180592991913, "loss": 1.1727, "step": 1295 }, { "epoch": 0.42, "learning_rate": 0.00017412398921832885, "loss": 1.1948, "step": 1300 }, { "epoch": 0.42, "learning_rate": 0.00017401617250673856, "loss": 1.1737, "step": 1305 }, { "epoch": 0.42, "learning_rate": 0.00017390835579514827, "loss": 1.198, "step": 1310 }, { "epoch": 0.42, "learning_rate": 0.00017380053908355795, "loss": 1.2152, "step": 1315 }, { "epoch": 0.42, "learning_rate": 0.00017369272237196767, "loss": 1.2061, "step": 1320 }, { "epoch": 0.42, "learning_rate": 0.00017358490566037738, "loss": 1.1925, "step": 1325 }, { "epoch": 0.43, "learning_rate": 0.00017347708894878706, "loss": 1.2067, "step": 1330 }, { "epoch": 0.43, "learning_rate": 0.00017336927223719677, "loss": 1.1964, "step": 1335 }, { "epoch": 0.43, "learning_rate": 0.0001732614555256065, "loss": 1.2062, "step": 1340 }, { "epoch": 0.43, "learning_rate": 0.00017315363881401617, "loss": 1.2208, "step": 1345 }, { "epoch": 0.43, "learning_rate": 0.00017304582210242588, "loss": 1.167, "step": 1350 }, { "epoch": 0.43, "learning_rate": 0.00017293800539083557, "loss": 1.1802, "step": 1355 }, { "epoch": 0.44, "learning_rate": 0.0001728301886792453, "loss": 1.2193, "step": 1360 }, { "epoch": 0.44, "learning_rate": 0.000172722371967655, "loss": 1.2015, "step": 1365 }, { "epoch": 0.44, "learning_rate": 0.0001726145552560647, "loss": 1.2183, "step": 1370 }, { "epoch": 0.44, "learning_rate": 0.00017250673854447442, "loss": 1.1986, "step": 1375 }, { "epoch": 0.44, "learning_rate": 0.0001723989218328841, "loss": 1.1575, "step": 1380 }, { "epoch": 0.44, "learning_rate": 0.0001722911051212938, "loss": 1.1949, "step": 1385 }, { "epoch": 0.44, "learning_rate": 0.0001721832884097035, "loss": 1.2103, "step": 1390 }, { "epoch": 0.45, "learning_rate": 0.00017207547169811324, "loss": 1.2141, "step": 1395 }, { "epoch": 0.45, "learning_rate": 0.00017196765498652292, "loss": 1.2134, "step": 1400 }, { "epoch": 0.45, "eval_loss": 1.1655155420303345, "eval_runtime": 709.3424, "eval_samples_per_second": 7.049, "eval_steps_per_second": 0.881, "step": 1400 }, { "epoch": 0.45, "learning_rate": 0.0001718598382749326, "loss": 1.1573, "step": 1405 }, { "epoch": 0.45, "learning_rate": 0.00017175202156334234, "loss": 1.1694, "step": 1410 }, { "epoch": 0.45, "learning_rate": 0.00017164420485175203, "loss": 1.226, "step": 1415 }, { "epoch": 0.45, "learning_rate": 0.00017153638814016174, "loss": 1.1758, "step": 1420 }, { "epoch": 0.46, "learning_rate": 0.00017142857142857143, "loss": 1.185, "step": 1425 }, { "epoch": 0.46, "learning_rate": 0.00017132075471698114, "loss": 1.1878, "step": 1430 }, { "epoch": 0.46, "learning_rate": 0.00017121293800539085, "loss": 1.2108, "step": 1435 }, { "epoch": 0.46, "learning_rate": 0.00017110512129380053, "loss": 1.254, "step": 1440 }, { "epoch": 0.46, "learning_rate": 0.00017099730458221027, "loss": 1.2071, "step": 1445 }, { "epoch": 0.46, "learning_rate": 0.00017088948787061996, "loss": 1.1914, "step": 1450 }, { "epoch": 0.47, "learning_rate": 0.00017078167115902964, "loss": 1.1936, "step": 1455 }, { "epoch": 0.47, "learning_rate": 0.00017067385444743935, "loss": 1.2369, "step": 1460 }, { "epoch": 0.47, "learning_rate": 0.00017056603773584907, "loss": 1.1627, "step": 1465 }, { "epoch": 0.47, "learning_rate": 0.00017045822102425878, "loss": 1.216, "step": 1470 }, { "epoch": 0.47, "learning_rate": 0.00017035040431266846, "loss": 1.1931, "step": 1475 }, { "epoch": 0.47, "learning_rate": 0.00017024258760107817, "loss": 1.1859, "step": 1480 }, { "epoch": 0.48, "learning_rate": 0.00017013477088948789, "loss": 1.1769, "step": 1485 }, { "epoch": 0.48, "learning_rate": 0.00017002695417789757, "loss": 1.1376, "step": 1490 }, { "epoch": 0.48, "learning_rate": 0.00016991913746630728, "loss": 1.1692, "step": 1495 }, { "epoch": 0.48, "learning_rate": 0.000169811320754717, "loss": 1.1948, "step": 1500 }, { "epoch": 0.48, "learning_rate": 0.0001697035040431267, "loss": 1.183, "step": 1505 }, { "epoch": 0.48, "learning_rate": 0.0001695956873315364, "loss": 1.1687, "step": 1510 }, { "epoch": 0.48, "learning_rate": 0.0001694878706199461, "loss": 1.1754, "step": 1515 }, { "epoch": 0.49, "learning_rate": 0.00016938005390835581, "loss": 1.2051, "step": 1520 }, { "epoch": 0.49, "learning_rate": 0.0001692722371967655, "loss": 1.1862, "step": 1525 }, { "epoch": 0.49, "learning_rate": 0.0001691644204851752, "loss": 1.2014, "step": 1530 }, { "epoch": 0.49, "learning_rate": 0.00016905660377358492, "loss": 1.1992, "step": 1535 }, { "epoch": 0.49, "learning_rate": 0.0001689487870619946, "loss": 1.2253, "step": 1540 }, { "epoch": 0.49, "learning_rate": 0.00016884097035040432, "loss": 1.2125, "step": 1545 }, { "epoch": 0.5, "learning_rate": 0.00016873315363881403, "loss": 1.1838, "step": 1550 }, { "epoch": 0.5, "learning_rate": 0.00016862533692722374, "loss": 1.2048, "step": 1555 }, { "epoch": 0.5, "learning_rate": 0.00016851752021563343, "loss": 1.1855, "step": 1560 }, { "epoch": 0.5, "learning_rate": 0.0001684097035040431, "loss": 1.1646, "step": 1565 }, { "epoch": 0.5, "learning_rate": 0.00016830188679245285, "loss": 1.2024, "step": 1570 }, { "epoch": 0.5, "learning_rate": 0.00016819407008086254, "loss": 1.2162, "step": 1575 }, { "epoch": 0.51, "learning_rate": 0.00016808625336927225, "loss": 1.1909, "step": 1580 }, { "epoch": 0.51, "learning_rate": 0.00016797843665768196, "loss": 1.1807, "step": 1585 }, { "epoch": 0.51, "learning_rate": 0.00016787061994609164, "loss": 1.1803, "step": 1590 }, { "epoch": 0.51, "learning_rate": 0.00016776280323450136, "loss": 1.1894, "step": 1595 }, { "epoch": 0.51, "learning_rate": 0.00016765498652291104, "loss": 1.1869, "step": 1600 }, { "epoch": 0.51, "eval_loss": 1.1610257625579834, "eval_runtime": 709.4343, "eval_samples_per_second": 7.048, "eval_steps_per_second": 0.881, "step": 1600 }, { "epoch": 0.51, "learning_rate": 0.00016754716981132078, "loss": 1.1832, "step": 1605 }, { "epoch": 0.52, "learning_rate": 0.00016743935309973047, "loss": 1.1553, "step": 1610 }, { "epoch": 0.52, "learning_rate": 0.00016733153638814018, "loss": 1.1788, "step": 1615 }, { "epoch": 0.52, "learning_rate": 0.0001672237196765499, "loss": 1.1896, "step": 1620 }, { "epoch": 0.52, "learning_rate": 0.00016711590296495957, "loss": 1.1839, "step": 1625 }, { "epoch": 0.52, "learning_rate": 0.00016700808625336929, "loss": 1.2063, "step": 1630 }, { "epoch": 0.52, "learning_rate": 0.00016690026954177897, "loss": 1.1756, "step": 1635 }, { "epoch": 0.52, "learning_rate": 0.00016679245283018868, "loss": 1.1903, "step": 1640 }, { "epoch": 0.53, "learning_rate": 0.0001666846361185984, "loss": 1.1901, "step": 1645 }, { "epoch": 0.53, "learning_rate": 0.00016657681940700808, "loss": 1.1852, "step": 1650 }, { "epoch": 0.53, "learning_rate": 0.00016646900269541782, "loss": 1.1824, "step": 1655 }, { "epoch": 0.53, "learning_rate": 0.0001663611859838275, "loss": 1.1514, "step": 1660 }, { "epoch": 0.53, "learning_rate": 0.00016625336927223721, "loss": 1.1835, "step": 1665 }, { "epoch": 0.53, "learning_rate": 0.0001661455525606469, "loss": 1.1564, "step": 1670 }, { "epoch": 0.54, "learning_rate": 0.0001660377358490566, "loss": 1.2315, "step": 1675 }, { "epoch": 0.54, "learning_rate": 0.00016592991913746632, "loss": 1.2016, "step": 1680 }, { "epoch": 0.54, "learning_rate": 0.000165822102425876, "loss": 1.2058, "step": 1685 }, { "epoch": 0.54, "learning_rate": 0.00016571428571428575, "loss": 1.2109, "step": 1690 }, { "epoch": 0.54, "learning_rate": 0.00016560646900269543, "loss": 1.2114, "step": 1695 }, { "epoch": 0.54, "learning_rate": 0.00016549865229110512, "loss": 1.1754, "step": 1700 }, { "epoch": 0.55, "learning_rate": 0.00016539083557951483, "loss": 1.1659, "step": 1705 }, { "epoch": 0.55, "learning_rate": 0.00016528301886792454, "loss": 1.2003, "step": 1710 }, { "epoch": 0.55, "learning_rate": 0.00016517520215633425, "loss": 1.2209, "step": 1715 }, { "epoch": 0.55, "learning_rate": 0.00016506738544474394, "loss": 1.173, "step": 1720 }, { "epoch": 0.55, "learning_rate": 0.00016495956873315365, "loss": 1.2318, "step": 1725 }, { "epoch": 0.55, "learning_rate": 0.00016485175202156336, "loss": 1.2312, "step": 1730 }, { "epoch": 0.56, "learning_rate": 0.00016474393530997304, "loss": 1.1828, "step": 1735 }, { "epoch": 0.56, "learning_rate": 0.00016463611859838276, "loss": 1.1994, "step": 1740 }, { "epoch": 0.56, "learning_rate": 0.00016452830188679247, "loss": 1.1953, "step": 1745 }, { "epoch": 0.56, "learning_rate": 0.00016442048517520215, "loss": 1.1821, "step": 1750 }, { "epoch": 0.56, "learning_rate": 0.00016431266846361186, "loss": 1.2484, "step": 1755 }, { "epoch": 0.56, "learning_rate": 0.00016420485175202155, "loss": 1.1838, "step": 1760 }, { "epoch": 0.56, "learning_rate": 0.0001640970350404313, "loss": 1.1851, "step": 1765 }, { "epoch": 0.57, "learning_rate": 0.00016398921832884097, "loss": 1.2036, "step": 1770 }, { "epoch": 0.57, "learning_rate": 0.00016388140161725068, "loss": 1.2104, "step": 1775 }, { "epoch": 0.57, "learning_rate": 0.0001637735849056604, "loss": 1.1789, "step": 1780 }, { "epoch": 0.57, "learning_rate": 0.00016366576819407008, "loss": 1.2007, "step": 1785 }, { "epoch": 0.57, "learning_rate": 0.0001635579514824798, "loss": 1.1963, "step": 1790 }, { "epoch": 0.57, "learning_rate": 0.00016345013477088948, "loss": 1.1817, "step": 1795 }, { "epoch": 0.58, "learning_rate": 0.00016334231805929922, "loss": 1.2017, "step": 1800 }, { "epoch": 0.58, "eval_loss": 1.157345175743103, "eval_runtime": 708.5342, "eval_samples_per_second": 7.057, "eval_steps_per_second": 0.882, "step": 1800 }, { "epoch": 0.58, "learning_rate": 0.0001632345013477089, "loss": 1.1706, "step": 1805 }, { "epoch": 0.58, "learning_rate": 0.0001631266846361186, "loss": 1.2104, "step": 1810 }, { "epoch": 0.58, "learning_rate": 0.00016301886792452833, "loss": 1.1855, "step": 1815 }, { "epoch": 0.58, "learning_rate": 0.000162911051212938, "loss": 1.1485, "step": 1820 }, { "epoch": 0.58, "learning_rate": 0.00016280323450134772, "loss": 1.1951, "step": 1825 }, { "epoch": 0.59, "learning_rate": 0.0001626954177897574, "loss": 1.1655, "step": 1830 }, { "epoch": 0.59, "learning_rate": 0.00016258760107816712, "loss": 1.153, "step": 1835 }, { "epoch": 0.59, "learning_rate": 0.00016247978436657683, "loss": 1.1635, "step": 1840 }, { "epoch": 0.59, "learning_rate": 0.00016237196765498652, "loss": 1.2176, "step": 1845 }, { "epoch": 0.59, "learning_rate": 0.00016226415094339625, "loss": 1.1589, "step": 1850 }, { "epoch": 0.59, "learning_rate": 0.00016215633423180594, "loss": 1.2518, "step": 1855 }, { "epoch": 0.6, "learning_rate": 0.00016204851752021562, "loss": 1.1931, "step": 1860 }, { "epoch": 0.6, "learning_rate": 0.00016194070080862534, "loss": 1.1886, "step": 1865 }, { "epoch": 0.6, "learning_rate": 0.00016183288409703505, "loss": 1.1653, "step": 1870 }, { "epoch": 0.6, "learning_rate": 0.00016172506738544476, "loss": 1.1975, "step": 1875 }, { "epoch": 0.6, "learning_rate": 0.00016161725067385444, "loss": 1.2009, "step": 1880 }, { "epoch": 0.6, "learning_rate": 0.00016150943396226416, "loss": 1.2339, "step": 1885 }, { "epoch": 0.6, "learning_rate": 0.00016140161725067387, "loss": 1.1958, "step": 1890 }, { "epoch": 0.61, "learning_rate": 0.00016129380053908355, "loss": 1.1811, "step": 1895 }, { "epoch": 0.61, "learning_rate": 0.00016118598382749326, "loss": 1.1835, "step": 1900 }, { "epoch": 0.61, "learning_rate": 0.00016107816711590298, "loss": 1.1767, "step": 1905 }, { "epoch": 0.61, "learning_rate": 0.0001609703504043127, "loss": 1.1796, "step": 1910 }, { "epoch": 0.61, "learning_rate": 0.00016086253369272237, "loss": 1.2022, "step": 1915 }, { "epoch": 0.61, "learning_rate": 0.00016075471698113208, "loss": 1.1926, "step": 1920 }, { "epoch": 0.62, "learning_rate": 0.0001606469002695418, "loss": 1.1882, "step": 1925 }, { "epoch": 0.62, "learning_rate": 0.00016053908355795148, "loss": 1.1504, "step": 1930 }, { "epoch": 0.62, "learning_rate": 0.0001604312668463612, "loss": 1.1927, "step": 1935 }, { "epoch": 0.62, "learning_rate": 0.0001603234501347709, "loss": 1.1601, "step": 1940 }, { "epoch": 0.62, "learning_rate": 0.0001602156334231806, "loss": 1.1726, "step": 1945 }, { "epoch": 0.62, "learning_rate": 0.0001601078167115903, "loss": 1.2053, "step": 1950 }, { "epoch": 0.63, "learning_rate": 0.00016, "loss": 1.1919, "step": 1955 }, { "epoch": 0.63, "learning_rate": 0.00015989218328840972, "loss": 1.1814, "step": 1960 }, { "epoch": 0.63, "learning_rate": 0.0001597843665768194, "loss": 1.1838, "step": 1965 }, { "epoch": 0.63, "learning_rate": 0.00015967654986522912, "loss": 1.1954, "step": 1970 }, { "epoch": 0.63, "learning_rate": 0.00015956873315363883, "loss": 1.196, "step": 1975 }, { "epoch": 0.63, "learning_rate": 0.00015946091644204852, "loss": 1.1877, "step": 1980 }, { "epoch": 0.64, "learning_rate": 0.00015935309973045823, "loss": 1.1853, "step": 1985 }, { "epoch": 0.64, "learning_rate": 0.00015924528301886794, "loss": 1.197, "step": 1990 }, { "epoch": 0.64, "learning_rate": 0.00015913746630727763, "loss": 1.1484, "step": 1995 }, { "epoch": 0.64, "learning_rate": 0.00015902964959568734, "loss": 1.2139, "step": 2000 }, { "epoch": 0.64, "eval_loss": 1.153731107711792, "eval_runtime": 709.6014, "eval_samples_per_second": 7.046, "eval_steps_per_second": 0.881, "step": 2000 } ], "max_steps": 9375, "num_train_epochs": 3, "total_flos": 1.19119709995008e+17, "trial_name": null, "trial_params": null }