diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,9632 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999374491774566, + "eval_steps": 500, + "global_step": 7993, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.5000000000000004e-07, + "loss": 1.8341, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.25e-06, + "loss": 1.9529, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 2.5e-06, + "loss": 1.9198, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 3.75e-06, + "loss": 1.9007, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 5e-06, + "loss": 1.8667, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 6.25e-06, + "loss": 1.8982, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 7.5e-06, + "loss": 1.9164, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 8.75e-06, + "loss": 1.9576, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 1e-05, + "loss": 1.9407, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 1.125e-05, + "loss": 1.9003, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 1.25e-05, + "loss": 1.8671, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 1.3750000000000002e-05, + "loss": 1.8734, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 1.5e-05, + "loss": 1.8261, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 1.6250000000000002e-05, + "loss": 1.7735, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 1.75e-05, + "loss": 1.7516, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 1.8750000000000002e-05, + "loss": 1.766, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 2e-05, + "loss": 1.6577, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 2.125e-05, + "loss": 1.6658, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 2.25e-05, + "loss": 1.6037, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 2.375e-05, + "loss": 1.6221, + "step": 95 + }, + { + "epoch": 0.01, + "learning_rate": 2.5e-05, + "loss": 1.6102, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 2.625e-05, + "loss": 1.5017, + "step": 105 + }, + { + "epoch": 0.01, + "learning_rate": 2.7500000000000004e-05, + "loss": 1.5187, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 2.8749999999999997e-05, + "loss": 1.5232, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 3e-05, + "loss": 1.4907, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 3.125e-05, + "loss": 1.5197, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 3.2500000000000004e-05, + "loss": 1.4709, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 3.375000000000001e-05, + "loss": 1.4848, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 3.5e-05, + "loss": 1.4829, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 3.625e-05, + "loss": 1.4053, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 3.7500000000000003e-05, + "loss": 1.4657, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 3.875e-05, + "loss": 1.3581, + "step": 155 + }, + { + "epoch": 0.02, + "learning_rate": 4e-05, + "loss": 1.4169, + "step": 160 + }, + { + "epoch": 0.02, + "learning_rate": 4.125e-05, + "loss": 1.4224, + "step": 165 + }, + { + "epoch": 0.02, + "learning_rate": 4.25e-05, + "loss": 1.3826, + "step": 170 + }, + { + "epoch": 0.02, + "learning_rate": 4.375e-05, + "loss": 1.4225, + "step": 175 + }, + { + "epoch": 0.02, + "learning_rate": 4.5e-05, + "loss": 1.3698, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 4.6250000000000006e-05, + "loss": 1.4793, + "step": 185 + }, + { + "epoch": 0.02, + "learning_rate": 4.75e-05, + "loss": 1.4069, + "step": 190 + }, + { + "epoch": 0.02, + "learning_rate": 4.875e-05, + "loss": 1.4344, + "step": 195 + }, + { + "epoch": 0.03, + "learning_rate": 5e-05, + "loss": 1.4146, + "step": 200 + }, + { + "epoch": 0.03, + "learning_rate": 5.125e-05, + "loss": 1.3875, + "step": 205 + }, + { + "epoch": 0.03, + "learning_rate": 5.25e-05, + "loss": 1.4059, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 5.375e-05, + "loss": 1.376, + "step": 215 + }, + { + "epoch": 0.03, + "learning_rate": 5.500000000000001e-05, + "loss": 1.4084, + "step": 220 + }, + { + "epoch": 0.03, + "learning_rate": 5.6250000000000005e-05, + "loss": 1.3235, + "step": 225 + }, + { + "epoch": 0.03, + "learning_rate": 5.7499999999999995e-05, + "loss": 1.3423, + "step": 230 + }, + { + "epoch": 0.03, + "learning_rate": 5.8750000000000005e-05, + "loss": 1.3499, + "step": 235 + }, + { + "epoch": 0.03, + "learning_rate": 6e-05, + "loss": 1.364, + "step": 240 + }, + { + "epoch": 0.03, + "learning_rate": 6.125000000000001e-05, + "loss": 1.4129, + "step": 245 + }, + { + "epoch": 0.03, + "learning_rate": 6.25e-05, + "loss": 1.3671, + "step": 250 + }, + { + "epoch": 0.03, + "learning_rate": 6.375e-05, + "loss": 1.3599, + "step": 255 + }, + { + "epoch": 0.03, + "learning_rate": 6.500000000000001e-05, + "loss": 1.3409, + "step": 260 + }, + { + "epoch": 0.03, + "learning_rate": 6.625e-05, + "loss": 1.3171, + "step": 265 + }, + { + "epoch": 0.03, + "learning_rate": 6.750000000000001e-05, + "loss": 1.3322, + "step": 270 + }, + { + "epoch": 0.03, + "learning_rate": 6.875e-05, + "loss": 1.338, + "step": 275 + }, + { + "epoch": 0.04, + "learning_rate": 7e-05, + "loss": 1.3117, + "step": 280 + }, + { + "epoch": 0.04, + "learning_rate": 7.125000000000001e-05, + "loss": 1.3601, + "step": 285 + }, + { + "epoch": 0.04, + "learning_rate": 7.25e-05, + "loss": 1.2932, + "step": 290 + }, + { + "epoch": 0.04, + "learning_rate": 7.375e-05, + "loss": 1.35, + "step": 295 + }, + { + "epoch": 0.04, + "learning_rate": 7.500000000000001e-05, + "loss": 1.3544, + "step": 300 + }, + { + "epoch": 0.04, + "learning_rate": 7.625e-05, + "loss": 1.3876, + "step": 305 + }, + { + "epoch": 0.04, + "learning_rate": 7.75e-05, + "loss": 1.3225, + "step": 310 + }, + { + "epoch": 0.04, + "learning_rate": 7.875e-05, + "loss": 1.32, + "step": 315 + }, + { + "epoch": 0.04, + "learning_rate": 8e-05, + "loss": 1.3326, + "step": 320 + }, + { + "epoch": 0.04, + "learning_rate": 8.125000000000001e-05, + "loss": 1.3335, + "step": 325 + }, + { + "epoch": 0.04, + "learning_rate": 8.25e-05, + "loss": 1.2723, + "step": 330 + }, + { + "epoch": 0.04, + "learning_rate": 8.375e-05, + "loss": 1.3459, + "step": 335 + }, + { + "epoch": 0.04, + "learning_rate": 8.5e-05, + "loss": 1.3342, + "step": 340 + }, + { + "epoch": 0.04, + "learning_rate": 8.625000000000001e-05, + "loss": 1.3082, + "step": 345 + }, + { + "epoch": 0.04, + "learning_rate": 8.75e-05, + "loss": 1.2794, + "step": 350 + }, + { + "epoch": 0.04, + "learning_rate": 8.875e-05, + "loss": 1.2994, + "step": 355 + }, + { + "epoch": 0.05, + "learning_rate": 9e-05, + "loss": 1.2825, + "step": 360 + }, + { + "epoch": 0.05, + "learning_rate": 9.125e-05, + "loss": 1.2668, + "step": 365 + }, + { + "epoch": 0.05, + "learning_rate": 9.250000000000001e-05, + "loss": 1.3181, + "step": 370 + }, + { + "epoch": 0.05, + "learning_rate": 9.375e-05, + "loss": 1.2584, + "step": 375 + }, + { + "epoch": 0.05, + "learning_rate": 9.5e-05, + "loss": 1.2607, + "step": 380 + }, + { + "epoch": 0.05, + "learning_rate": 9.625000000000001e-05, + "loss": 1.322, + "step": 385 + }, + { + "epoch": 0.05, + "learning_rate": 9.75e-05, + "loss": 1.2928, + "step": 390 + }, + { + "epoch": 0.05, + "learning_rate": 9.875000000000002e-05, + "loss": 1.3445, + "step": 395 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001, + "loss": 1.2258, + "step": 400 + }, + { + "epoch": 0.05, + "learning_rate": 0.00010125, + "loss": 1.2958, + "step": 405 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001025, + "loss": 1.2787, + "step": 410 + }, + { + "epoch": 0.05, + "learning_rate": 0.00010375000000000001, + "loss": 1.3215, + "step": 415 + }, + { + "epoch": 0.05, + "learning_rate": 0.000105, + "loss": 1.3149, + "step": 420 + }, + { + "epoch": 0.05, + "learning_rate": 0.00010625000000000001, + "loss": 1.2583, + "step": 425 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001075, + "loss": 1.3136, + "step": 430 + }, + { + "epoch": 0.05, + "learning_rate": 0.00010875, + "loss": 1.2958, + "step": 435 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011000000000000002, + "loss": 1.3442, + "step": 440 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011125000000000001, + "loss": 1.3587, + "step": 445 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011250000000000001, + "loss": 1.3061, + "step": 450 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011375, + "loss": 1.3344, + "step": 455 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011499999999999999, + "loss": 1.2874, + "step": 460 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011625000000000002, + "loss": 1.2575, + "step": 465 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011750000000000001, + "loss": 1.2969, + "step": 470 + }, + { + "epoch": 0.06, + "learning_rate": 0.00011875, + "loss": 1.2663, + "step": 475 + }, + { + "epoch": 0.06, + "learning_rate": 0.00012, + "loss": 1.2378, + "step": 480 + }, + { + "epoch": 0.06, + "learning_rate": 0.00012124999999999999, + "loss": 1.2858, + "step": 485 + }, + { + "epoch": 0.06, + "learning_rate": 0.00012250000000000002, + "loss": 1.2478, + "step": 490 + }, + { + "epoch": 0.06, + "learning_rate": 0.00012375, + "loss": 1.2748, + "step": 495 + }, + { + "epoch": 0.06, + "learning_rate": 0.000125, + "loss": 1.303, + "step": 500 + }, + { + "epoch": 0.06, + "learning_rate": 0.00012625, + "loss": 1.2927, + "step": 505 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001275, + "loss": 1.2881, + "step": 510 + }, + { + "epoch": 0.06, + "learning_rate": 0.00012875, + "loss": 1.239, + "step": 515 + }, + { + "epoch": 0.07, + "learning_rate": 0.00013000000000000002, + "loss": 1.3001, + "step": 520 + }, + { + "epoch": 0.07, + "learning_rate": 0.00013125000000000002, + "loss": 1.2719, + "step": 525 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001325, + "loss": 1.2861, + "step": 530 + }, + { + "epoch": 0.07, + "learning_rate": 0.00013375, + "loss": 1.2435, + "step": 535 + }, + { + "epoch": 0.07, + "learning_rate": 0.00013500000000000003, + "loss": 1.2344, + "step": 540 + }, + { + "epoch": 0.07, + "learning_rate": 0.00013625, + "loss": 1.2604, + "step": 545 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001375, + "loss": 1.2848, + "step": 550 + }, + { + "epoch": 0.07, + "learning_rate": 0.00013875, + "loss": 1.2622, + "step": 555 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014, + "loss": 1.229, + "step": 560 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014125000000000002, + "loss": 1.3119, + "step": 565 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014250000000000002, + "loss": 1.3302, + "step": 570 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014375, + "loss": 1.2579, + "step": 575 + }, + { + "epoch": 0.07, + "learning_rate": 0.000145, + "loss": 1.2405, + "step": 580 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014625, + "loss": 1.3071, + "step": 585 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001475, + "loss": 1.2814, + "step": 590 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014875, + "loss": 1.2853, + "step": 595 + }, + { + "epoch": 0.08, + "learning_rate": 0.00015000000000000001, + "loss": 1.2761, + "step": 600 + }, + { + "epoch": 0.08, + "learning_rate": 0.00015125, + "loss": 1.2833, + "step": 605 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001525, + "loss": 1.2161, + "step": 610 + }, + { + "epoch": 0.08, + "learning_rate": 0.00015375000000000002, + "loss": 1.2494, + "step": 615 + }, + { + "epoch": 0.08, + "learning_rate": 0.000155, + "loss": 1.2007, + "step": 620 + }, + { + "epoch": 0.08, + "learning_rate": 0.00015625, + "loss": 1.2849, + "step": 625 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001575, + "loss": 1.245, + "step": 630 + }, + { + "epoch": 0.08, + "learning_rate": 0.00015875, + "loss": 1.2544, + "step": 635 + }, + { + "epoch": 0.08, + "learning_rate": 0.00016, + "loss": 1.2569, + "step": 640 + }, + { + "epoch": 0.08, + "learning_rate": 0.00016125000000000002, + "loss": 1.2728, + "step": 645 + }, + { + "epoch": 0.08, + "learning_rate": 0.00016250000000000002, + "loss": 1.2815, + "step": 650 + }, + { + "epoch": 0.08, + "learning_rate": 0.00016375, + "loss": 1.3389, + "step": 655 + }, + { + "epoch": 0.08, + "learning_rate": 0.000165, + "loss": 1.2399, + "step": 660 + }, + { + "epoch": 0.08, + "learning_rate": 0.00016625000000000003, + "loss": 1.2521, + "step": 665 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001675, + "loss": 1.2654, + "step": 670 + }, + { + "epoch": 0.08, + "learning_rate": 0.00016875, + "loss": 1.2626, + "step": 675 + }, + { + "epoch": 0.09, + "learning_rate": 0.00017, + "loss": 1.2687, + "step": 680 + }, + { + "epoch": 0.09, + "learning_rate": 0.00017125, + "loss": 1.2914, + "step": 685 + }, + { + "epoch": 0.09, + "learning_rate": 0.00017250000000000002, + "loss": 1.2894, + "step": 690 + }, + { + "epoch": 0.09, + "learning_rate": 0.00017375000000000002, + "loss": 1.2913, + "step": 695 + }, + { + "epoch": 0.09, + "learning_rate": 0.000175, + "loss": 1.2619, + "step": 700 + }, + { + "epoch": 0.09, + "learning_rate": 0.00017625, + "loss": 1.2241, + "step": 705 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001775, + "loss": 1.235, + "step": 710 + }, + { + "epoch": 0.09, + "learning_rate": 0.00017875, + "loss": 1.2523, + "step": 715 + }, + { + "epoch": 0.09, + "learning_rate": 0.00018, + "loss": 1.3353, + "step": 720 + }, + { + "epoch": 0.09, + "learning_rate": 0.00018125000000000001, + "loss": 1.1952, + "step": 725 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001825, + "loss": 1.2608, + "step": 730 + }, + { + "epoch": 0.09, + "learning_rate": 0.00018375, + "loss": 1.2797, + "step": 735 + }, + { + "epoch": 0.09, + "learning_rate": 0.00018500000000000002, + "loss": 1.2814, + "step": 740 + }, + { + "epoch": 0.09, + "learning_rate": 0.00018625, + "loss": 1.1934, + "step": 745 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001875, + "loss": 1.2691, + "step": 750 + }, + { + "epoch": 0.09, + "learning_rate": 0.00018875, + "loss": 1.2728, + "step": 755 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019, + "loss": 1.2872, + "step": 760 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019125000000000001, + "loss": 1.3103, + "step": 765 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019250000000000002, + "loss": 1.2455, + "step": 770 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019375000000000002, + "loss": 1.2633, + "step": 775 + }, + { + "epoch": 0.1, + "learning_rate": 0.000195, + "loss": 1.3254, + "step": 780 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019625, + "loss": 1.2191, + "step": 785 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019750000000000003, + "loss": 1.2741, + "step": 790 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019875, + "loss": 1.2912, + "step": 795 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.2785, + "step": 800 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999976155431637, + "loss": 1.2812, + "step": 805 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001999990462184026, + "loss": 1.2162, + "step": 810 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999785399567007, + "loss": 1.3171, + "step": 815 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999618489180437, + "loss": 1.2429, + "step": 820 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999403891476531, + "loss": 1.2484, + "step": 825 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999141607478688, + "loss": 1.2734, + "step": 830 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001999883163843772, + "loss": 1.2261, + "step": 835 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019998473985831844, + "loss": 1.2412, + "step": 840 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019998068651366663, + "loss": 1.2967, + "step": 845 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997615636975198, + "loss": 1.2659, + "step": 850 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997114944817824, + "loss": 1.2585, + "step": 855 + }, + { + "epoch": 0.11, + "learning_rate": 0.000199965665772823, + "loss": 1.3256, + "step": 860 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019995970536983748, + "loss": 1.2622, + "step": 865 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001999532682676463, + "loss": 1.2266, + "step": 870 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019994635449694745, + "loss": 1.245, + "step": 875 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001999389640907121, + "loss": 1.2527, + "step": 880 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001999310970841845, + "loss": 1.2426, + "step": 885 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019992275351488165, + "loss": 1.286, + "step": 890 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019991393342259336, + "loss": 1.286, + "step": 895 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001999046368493819, + "loss": 1.2932, + "step": 900 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019989486383958178, + "loss": 1.2836, + "step": 905 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019988461443979966, + "loss": 1.2474, + "step": 910 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001998738886989141, + "loss": 1.2401, + "step": 915 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001998626866680751, + "loss": 1.2044, + "step": 920 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001998510084007043, + "loss": 1.2349, + "step": 925 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019983885395249434, + "loss": 1.2353, + "step": 930 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019982622338140865, + "loss": 1.3026, + "step": 935 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001998131167476814, + "loss": 1.2293, + "step": 940 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019979953411381697, + "loss": 1.2398, + "step": 945 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001997854755445898, + "loss": 1.2344, + "step": 950 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019977094110704396, + "loss": 1.2629, + "step": 955 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001997559308704929, + "loss": 1.2803, + "step": 960 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019974044490651924, + "loss": 1.2488, + "step": 965 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001997244832889741, + "loss": 1.27, + "step": 970 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019970804609397713, + "loss": 1.258, + "step": 975 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019969113339991587, + "loss": 1.2659, + "step": 980 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019967374528744548, + "loss": 1.2433, + "step": 985 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001996558818394884, + "loss": 1.2885, + "step": 990 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019963754314123385, + "loss": 1.2535, + "step": 995 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019961872928013749, + "loss": 1.2155, + "step": 1000 + }, + { + "epoch": 0.13, + "learning_rate": 0.000199599440345921, + "loss": 1.2144, + "step": 1005 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019957967643057165, + "loss": 1.2125, + "step": 1010 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019955943762834188, + "loss": 1.3187, + "step": 1015 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019953872403574873, + "loss": 1.2293, + "step": 1020 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001995175357515736, + "loss": 1.2467, + "step": 1025 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001994958728768615, + "loss": 1.241, + "step": 1030 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001994737355149209, + "loss": 1.2383, + "step": 1035 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019945112377132293, + "loss": 1.218, + "step": 1040 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019942803775390103, + "loss": 1.2848, + "step": 1045 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019940447757275045, + "loss": 1.2456, + "step": 1050 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019938044334022763, + "loss": 1.2072, + "step": 1055 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019935593517094978, + "loss": 1.2629, + "step": 1060 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001993309531817942, + "loss": 1.3064, + "step": 1065 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019930549749189793, + "loss": 1.2794, + "step": 1070 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019927956822265688, + "loss": 1.26, + "step": 1075 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001992531654977255, + "loss": 1.2992, + "step": 1080 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019922628944301612, + "loss": 1.2094, + "step": 1085 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019919894018669834, + "loss": 1.2978, + "step": 1090 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001991711178591984, + "loss": 1.2521, + "step": 1095 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019914282259319853, + "loss": 1.2387, + "step": 1100 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019911405452363644, + "loss": 1.2547, + "step": 1105 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001990848137877046, + "loss": 1.2979, + "step": 1110 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019905510052484955, + "loss": 1.2881, + "step": 1115 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019902491487677125, + "loss": 1.286, + "step": 1120 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019899425698742244, + "loss": 1.2016, + "step": 1125 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019896312700300796, + "loss": 1.1912, + "step": 1130 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019893152507198406, + "loss": 1.219, + "step": 1135 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019889945134505754, + "loss": 1.2361, + "step": 1140 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019886690597518532, + "loss": 1.2541, + "step": 1145 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001988338891175734, + "loss": 1.2967, + "step": 1150 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019880040092967635, + "loss": 1.2897, + "step": 1155 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019876644157119642, + "loss": 1.2816, + "step": 1160 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001987320112040829, + "loss": 1.2125, + "step": 1165 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001986971099925312, + "loss": 1.2237, + "step": 1170 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019866173810298223, + "loss": 1.1892, + "step": 1175 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019862589570412143, + "loss": 1.2418, + "step": 1180 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019858958296687816, + "loss": 1.2378, + "step": 1185 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019855280006442466, + "loss": 1.2375, + "step": 1190 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019851554717217545, + "loss": 1.2362, + "step": 1195 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019847782446778638, + "loss": 1.2871, + "step": 1200 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019843963213115373, + "loss": 1.2121, + "step": 1205 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019840097034441346, + "loss": 1.1942, + "step": 1210 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019836183929194034, + "loss": 1.2597, + "step": 1215 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019832223916034692, + "loss": 1.2626, + "step": 1220 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001982821701384829, + "loss": 1.2218, + "step": 1225 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019824163241743387, + "loss": 1.2141, + "step": 1230 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001982006261905208, + "loss": 1.2099, + "step": 1235 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019815915165329883, + "loss": 1.2983, + "step": 1240 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019811720900355645, + "loss": 1.2709, + "step": 1245 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001980747984413145, + "loss": 1.2594, + "step": 1250 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019803192016882532, + "loss": 1.2682, + "step": 1255 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001979885743905717, + "loss": 1.222, + "step": 1260 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001979447613132659, + "loss": 1.2658, + "step": 1265 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019790048114584868, + "loss": 1.2875, + "step": 1270 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001978557340994884, + "loss": 1.2597, + "step": 1275 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019781052038757982, + "loss": 1.2663, + "step": 1280 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019776484022574322, + "loss": 1.2789, + "step": 1285 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019771869383182334, + "loss": 1.2344, + "step": 1290 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001976720814258884, + "loss": 1.2418, + "step": 1295 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001976250032302289, + "loss": 1.2708, + "step": 1300 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019757745946935668, + "loss": 1.2924, + "step": 1305 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019752945037000388, + "loss": 1.2402, + "step": 1310 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001974809761611217, + "loss": 1.2607, + "step": 1315 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001974320370738795, + "loss": 1.2524, + "step": 1320 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019738263334166353, + "loss": 1.2333, + "step": 1325 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019733276520007592, + "loss": 1.2093, + "step": 1330 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001972824328869336, + "loss": 1.2345, + "step": 1335 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019723163664226692, + "loss": 1.2679, + "step": 1340 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019718037670831887, + "loss": 1.216, + "step": 1345 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019712865332954357, + "loss": 1.2783, + "step": 1350 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019707646675260545, + "loss": 1.2859, + "step": 1355 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019702381722637772, + "loss": 1.2619, + "step": 1360 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019697070500194143, + "loss": 1.2491, + "step": 1365 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019691713033258423, + "loss": 1.232, + "step": 1370 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019686309347379907, + "loss": 1.2277, + "step": 1375 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019680859468328306, + "loss": 1.2479, + "step": 1380 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019675363422093622, + "loss": 1.2349, + "step": 1385 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001966982123488603, + "loss": 1.2478, + "step": 1390 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019664232933135734, + "loss": 1.2978, + "step": 1395 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019658598543492866, + "loss": 1.2366, + "step": 1400 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019652918092827348, + "loss": 1.2014, + "step": 1405 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019647191608228757, + "loss": 1.2914, + "step": 1410 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019641419117006202, + "loss": 1.2096, + "step": 1415 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019635600646688192, + "loss": 1.2096, + "step": 1420 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019629736225022516, + "loss": 1.2679, + "step": 1425 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019623825879976095, + "loss": 1.22, + "step": 1430 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019617869639734848, + "loss": 1.236, + "step": 1435 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019611867532703573, + "loss": 1.2278, + "step": 1440 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019605819587505807, + "loss": 1.2824, + "step": 1445 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001959972583298367, + "loss": 1.1901, + "step": 1450 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001959358629819775, + "loss": 1.2575, + "step": 1455 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019587401012426966, + "loss": 1.2171, + "step": 1460 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001958117000516841, + "loss": 1.25, + "step": 1465 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019574893306137215, + "loss": 1.3093, + "step": 1470 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019568570945266414, + "loss": 1.2585, + "step": 1475 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001956220295270681, + "loss": 1.2159, + "step": 1480 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019555789358826798, + "loss": 1.2412, + "step": 1485 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019549330194212265, + "loss": 1.2478, + "step": 1490 + }, + { + "epoch": 0.19, + "learning_rate": 0.000195428254896664, + "loss": 1.2373, + "step": 1495 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019536275276209585, + "loss": 1.3174, + "step": 1500 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019529679585079216, + "loss": 1.2541, + "step": 1505 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019523038447729577, + "loss": 1.2613, + "step": 1510 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001951635189583168, + "loss": 1.1991, + "step": 1515 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019509619961273115, + "loss": 1.2859, + "step": 1520 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001950284267615789, + "loss": 1.242, + "step": 1525 + }, + { + "epoch": 0.19, + "learning_rate": 0.000194960200728063, + "loss": 1.2309, + "step": 1530 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001948915218375475, + "loss": 1.2167, + "step": 1535 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019482239041755607, + "loss": 1.2514, + "step": 1540 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019475280679777051, + "loss": 1.2723, + "step": 1545 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001946827713100291, + "loss": 1.259, + "step": 1550 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019461228428832502, + "loss": 1.2243, + "step": 1555 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019454134606880478, + "loss": 1.2352, + "step": 1560 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019446995698976663, + "loss": 1.2359, + "step": 1565 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019439811739165895, + "loss": 1.2812, + "step": 1570 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019432582761707857, + "loss": 1.2581, + "step": 1575 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019425308801076914, + "loss": 1.2083, + "step": 1580 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019417989891961965, + "loss": 1.2224, + "step": 1585 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019410626069266246, + "loss": 1.2381, + "step": 1590 + }, + { + "epoch": 0.2, + "learning_rate": 0.000194032173681072, + "loss": 1.2507, + "step": 1595 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019395763823816281, + "loss": 1.237, + "step": 1600 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019388265471938798, + "loss": 1.2314, + "step": 1605 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019380722348233742, + "loss": 1.1966, + "step": 1610 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001937313448867362, + "loss": 1.2247, + "step": 1615 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019365501929444277, + "loss": 1.2897, + "step": 1620 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019357824706944733, + "loss": 1.2616, + "step": 1625 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019350102857786995, + "loss": 1.2287, + "step": 1630 + }, + { + "epoch": 0.2, + "learning_rate": 0.000193423364187959, + "loss": 1.2547, + "step": 1635 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019334525427008924, + "loss": 1.2735, + "step": 1640 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019326669919676008, + "loss": 1.264, + "step": 1645 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019318769934259392, + "loss": 1.1951, + "step": 1650 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019310825508433427, + "loss": 1.2887, + "step": 1655 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019302836680084389, + "loss": 1.2265, + "step": 1660 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001929480348731031, + "loss": 1.3123, + "step": 1665 + }, + { + "epoch": 0.21, + "learning_rate": 0.000192867259684208, + "loss": 1.1787, + "step": 1670 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019278604161936843, + "loss": 1.3131, + "step": 1675 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019270438106590635, + "loss": 1.1932, + "step": 1680 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019262227841325386, + "loss": 1.2613, + "step": 1685 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019253973405295146, + "loss": 1.3077, + "step": 1690 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019245674837864608, + "loss": 1.2947, + "step": 1695 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019237332178608925, + "loss": 1.287, + "step": 1700 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019228945467313514, + "loss": 1.2234, + "step": 1705 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019220514743973878, + "loss": 1.231, + "step": 1710 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019212040048795413, + "loss": 1.1846, + "step": 1715 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019203521422193204, + "loss": 1.2695, + "step": 1720 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019194958904791848, + "loss": 1.189, + "step": 1725 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019186352537425253, + "loss": 1.2454, + "step": 1730 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019177702361136437, + "loss": 1.2579, + "step": 1735 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001916900841717735, + "loss": 1.2736, + "step": 1740 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019160270747008658, + "loss": 1.2265, + "step": 1745 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019151489392299552, + "loss": 1.2501, + "step": 1750 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001914266439492756, + "loss": 1.1872, + "step": 1755 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019133795796978328, + "loss": 1.248, + "step": 1760 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001912488364074544, + "loss": 1.2398, + "step": 1765 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019115927968730193, + "loss": 1.2111, + "step": 1770 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019106928823641416, + "loss": 1.2097, + "step": 1775 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019097886248395257, + "loss": 1.2963, + "step": 1780 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019088800286114977, + "loss": 1.1881, + "step": 1785 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019079670980130743, + "loss": 1.2738, + "step": 1790 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019070498373979428, + "loss": 1.2581, + "step": 1795 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019061282511404404, + "loss": 1.2211, + "step": 1800 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019052023436355313, + "loss": 1.2164, + "step": 1805 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019042721192987893, + "loss": 1.2331, + "step": 1810 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001903337582566374, + "loss": 1.2476, + "step": 1815 + }, + { + "epoch": 0.23, + "learning_rate": 0.000190239873789501, + "loss": 1.2337, + "step": 1820 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019014555897619665, + "loss": 1.2142, + "step": 1825 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019005081426650355, + "loss": 1.2195, + "step": 1830 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018995564011225108, + "loss": 1.2261, + "step": 1835 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018986003696731655, + "loss": 1.2049, + "step": 1840 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001897640052876231, + "loss": 1.2587, + "step": 1845 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018966754553113751, + "loss": 1.2747, + "step": 1850 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018957065815786807, + "loss": 1.2517, + "step": 1855 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018947334362986223, + "loss": 1.1749, + "step": 1860 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018937560241120461, + "loss": 1.2928, + "step": 1865 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001892774349680147, + "loss": 1.2554, + "step": 1870 + }, + { + "epoch": 0.23, + "learning_rate": 0.00018917884176844444, + "loss": 1.3226, + "step": 1875 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001890798232826764, + "loss": 1.1807, + "step": 1880 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018898037998292116, + "loss": 1.2396, + "step": 1885 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001888805123434152, + "loss": 1.2452, + "step": 1890 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018878022084041867, + "loss": 1.2315, + "step": 1895 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018867950595221312, + "loss": 1.207, + "step": 1900 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018857836815909916, + "loss": 1.2217, + "step": 1905 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018847680794339418, + "loss": 1.2546, + "step": 1910 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018837482578943008, + "loss": 1.2377, + "step": 1915 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018827242218355097, + "loss": 1.2281, + "step": 1920 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018816959761411078, + "loss": 1.2354, + "step": 1925 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018806635257147099, + "loss": 1.2587, + "step": 1930 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018796268754799834, + "loss": 1.2403, + "step": 1935 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018785860303806233, + "loss": 1.2141, + "step": 1940 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018775409953803308, + "loss": 1.2911, + "step": 1945 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018764917754627867, + "loss": 1.2265, + "step": 1950 + }, + { + "epoch": 0.24, + "learning_rate": 0.00018754383756316306, + "loss": 1.3048, + "step": 1955 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018743808009104356, + "loss": 1.2346, + "step": 1960 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001873319056342684, + "loss": 1.3056, + "step": 1965 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018722531469917434, + "loss": 1.2064, + "step": 1970 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018711830779408447, + "loss": 1.2604, + "step": 1975 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001870108854293054, + "loss": 1.2248, + "step": 1980 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018690304811712512, + "loss": 1.2223, + "step": 1985 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001867947963718105, + "loss": 1.3052, + "step": 1990 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018668613070960474, + "loss": 1.2639, + "step": 1995 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018657705164872504, + "loss": 1.2477, + "step": 2000 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018646755970935994, + "loss": 1.2161, + "step": 2005 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001863576554136671, + "loss": 1.2985, + "step": 2010 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018624733928577066, + "loss": 1.2563, + "step": 2015 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018613661185175862, + "loss": 1.202, + "step": 2020 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018602547363968063, + "loss": 1.2174, + "step": 2025 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001859139251795452, + "loss": 1.2104, + "step": 2030 + }, + { + "epoch": 0.25, + "learning_rate": 0.00018580196700331732, + "loss": 1.2556, + "step": 2035 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001856895996449158, + "loss": 1.2207, + "step": 2040 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018557682364021098, + "loss": 1.2169, + "step": 2045 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001854636395270218, + "loss": 1.2957, + "step": 2050 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018535004784511362, + "loss": 1.2047, + "step": 2055 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018523604913619525, + "loss": 1.2236, + "step": 2060 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018512164394391678, + "loss": 1.235, + "step": 2065 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018500683281386663, + "loss": 1.2838, + "step": 2070 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018489161629356925, + "loss": 1.1869, + "step": 2075 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018477599493248222, + "loss": 1.2263, + "step": 2080 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018465996928199383, + "loss": 1.2461, + "step": 2085 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001845435398954204, + "loss": 1.2032, + "step": 2090 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018442670732800364, + "loss": 1.2334, + "step": 2095 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018430947213690795, + "loss": 1.2926, + "step": 2100 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018419183488121784, + "loss": 1.2523, + "step": 2105 + }, + { + "epoch": 0.26, + "learning_rate": 0.00018407379612193526, + "loss": 1.189, + "step": 2110 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001839553564219768, + "loss": 1.1997, + "step": 2115 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018383651634617122, + "loss": 1.2749, + "step": 2120 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001837172764612566, + "loss": 1.3316, + "step": 2125 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001835976373358776, + "loss": 1.2493, + "step": 2130 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018347759954058293, + "loss": 1.2436, + "step": 2135 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001833571636478224, + "loss": 1.2612, + "step": 2140 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018323633023194447, + "loss": 1.2147, + "step": 2145 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018311509986919324, + "loss": 1.2306, + "step": 2150 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018299347313770583, + "loss": 1.2275, + "step": 2155 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018287145061750962, + "loss": 1.2594, + "step": 2160 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018274903289051947, + "loss": 1.2519, + "step": 2165 + }, + { + "epoch": 0.27, + "learning_rate": 0.000182626220540535, + "loss": 1.2363, + "step": 2170 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018250301415323765, + "loss": 1.2334, + "step": 2175 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018237941431618806, + "loss": 1.2675, + "step": 2180 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001822554216188232, + "loss": 1.1873, + "step": 2185 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018213103665245357, + "loss": 1.2302, + "step": 2190 + }, + { + "epoch": 0.27, + "learning_rate": 0.00018200626001026025, + "loss": 1.2816, + "step": 2195 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018188109228729234, + "loss": 1.2215, + "step": 2200 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018175553408046385, + "loss": 1.2307, + "step": 2205 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001816295859885511, + "loss": 1.2093, + "step": 2210 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018150324861218966, + "loss": 1.241, + "step": 2215 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001813765225538715, + "loss": 1.3257, + "step": 2220 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018124940841794231, + "loss": 1.207, + "step": 2225 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018112190681059842, + "loss": 1.2373, + "step": 2230 + }, + { + "epoch": 0.28, + "learning_rate": 0.000180994018339884, + "loss": 1.2698, + "step": 2235 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018086574361568812, + "loss": 1.2235, + "step": 2240 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001807370832497418, + "loss": 1.2563, + "step": 2245 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018060803785561533, + "loss": 1.2776, + "step": 2250 + }, + { + "epoch": 0.28, + "learning_rate": 0.000180478608048715, + "loss": 1.2367, + "step": 2255 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018034879444628037, + "loss": 1.2216, + "step": 2260 + }, + { + "epoch": 0.28, + "learning_rate": 0.00018021859766738133, + "loss": 1.2369, + "step": 2265 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001800880183329151, + "loss": 1.2362, + "step": 2270 + }, + { + "epoch": 0.28, + "learning_rate": 0.00017995705706560318, + "loss": 1.2789, + "step": 2275 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001798257144899886, + "loss": 1.2832, + "step": 2280 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017969399123243278, + "loss": 1.2632, + "step": 2285 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017956188792111251, + "loss": 1.2231, + "step": 2290 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017942940518601714, + "loss": 1.3005, + "step": 2295 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017929654365894535, + "loss": 1.2639, + "step": 2300 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017916330397350233, + "loss": 1.2834, + "step": 2305 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001790296867650966, + "loss": 1.2117, + "step": 2310 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001788956926709371, + "loss": 1.2173, + "step": 2315 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001787613223300301, + "loss": 1.2782, + "step": 2320 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017862657638317617, + "loss": 1.2452, + "step": 2325 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001784914554729671, + "loss": 1.2861, + "step": 2330 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017835596024378284, + "loss": 1.2031, + "step": 2335 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017822009134178842, + "loss": 1.2494, + "step": 2340 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017808384941493094, + "loss": 1.2082, + "step": 2345 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001779472351129363, + "loss": 1.1589, + "step": 2350 + }, + { + "epoch": 0.29, + "learning_rate": 0.00017781024908730645, + "loss": 1.2552, + "step": 2355 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017767289199131585, + "loss": 1.2197, + "step": 2360 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017753516448000865, + "loss": 1.175, + "step": 2365 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017739706721019543, + "loss": 1.2568, + "step": 2370 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017725860084045016, + "loss": 1.2534, + "step": 2375 + }, + { + "epoch": 0.3, + "learning_rate": 0.000177119766031107, + "loss": 1.2676, + "step": 2380 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001769805634442572, + "loss": 1.2349, + "step": 2385 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017684099374374584, + "loss": 1.2945, + "step": 2390 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017670105759516882, + "loss": 1.254, + "step": 2395 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017656075566586948, + "loss": 1.2296, + "step": 2400 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001764200886249357, + "loss": 1.2336, + "step": 2405 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001762790571431964, + "loss": 1.2217, + "step": 2410 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017613766189321855, + "loss": 1.2477, + "step": 2415 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001759959035493039, + "loss": 1.2813, + "step": 2420 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017585378278748572, + "loss": 1.2134, + "step": 2425 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001757113002855257, + "loss": 1.2578, + "step": 2430 + }, + { + "epoch": 0.3, + "learning_rate": 0.00017556845672291055, + "loss": 1.2457, + "step": 2435 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017542525278084893, + "loss": 1.2261, + "step": 2440 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017528168914226802, + "loss": 1.2406, + "step": 2445 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017513776649181052, + "loss": 1.2575, + "step": 2450 + }, + { + "epoch": 0.31, + "learning_rate": 0.000174993485515831, + "loss": 1.1964, + "step": 2455 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001748488469023931, + "loss": 1.2288, + "step": 2460 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001747038513412658, + "loss": 1.2274, + "step": 2465 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017455849952392044, + "loss": 1.2206, + "step": 2470 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017441279214352727, + "loss": 1.2528, + "step": 2475 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017426672989495222, + "loss": 1.2718, + "step": 2480 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017412031347475358, + "loss": 1.1526, + "step": 2485 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017397354358117856, + "loss": 1.2691, + "step": 2490 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017382642091416016, + "loss": 1.2351, + "step": 2495 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001736789461753136, + "loss": 1.2247, + "step": 2500 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017353112006793331, + "loss": 1.2044, + "step": 2505 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017338294329698913, + "loss": 1.2284, + "step": 2510 + }, + { + "epoch": 0.31, + "learning_rate": 0.00017323441656912333, + "loss": 1.2372, + "step": 2515 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017308554059264702, + "loss": 1.2538, + "step": 2520 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017293631607753692, + "loss": 1.2139, + "step": 2525 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017278674373543185, + "loss": 1.1928, + "step": 2530 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017263682427962938, + "loss": 1.2522, + "step": 2535 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017248655842508245, + "loss": 1.2457, + "step": 2540 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017233594688839595, + "loss": 1.2094, + "step": 2545 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017218499038782335, + "loss": 1.1951, + "step": 2550 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001720336896432631, + "loss": 1.2621, + "step": 2555 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017188204537625543, + "loss": 1.2051, + "step": 2560 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017173005830997874, + "loss": 1.248, + "step": 2565 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017157772916924624, + "loss": 1.2464, + "step": 2570 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017142505868050244, + "loss": 1.269, + "step": 2575 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017127204757181973, + "loss": 1.2079, + "step": 2580 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017111869657289485, + "loss": 1.2464, + "step": 2585 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017096500641504552, + "loss": 1.1963, + "step": 2590 + }, + { + "epoch": 0.32, + "learning_rate": 0.00017081097783120682, + "loss": 1.2332, + "step": 2595 + }, + { + "epoch": 0.33, + "learning_rate": 0.00017065661155592777, + "loss": 1.1606, + "step": 2600 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001705019083253678, + "loss": 1.2465, + "step": 2605 + }, + { + "epoch": 0.33, + "learning_rate": 0.00017034686887729326, + "loss": 1.2307, + "step": 2610 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001701914939510739, + "loss": 1.2601, + "step": 2615 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001700357842876793, + "loss": 1.2441, + "step": 2620 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016987974062967549, + "loss": 1.2618, + "step": 2625 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016972336372122113, + "loss": 1.1907, + "step": 2630 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001695666543080642, + "loss": 1.2297, + "step": 2635 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001694096131375384, + "loss": 1.2401, + "step": 2640 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016925224095855947, + "loss": 1.2369, + "step": 2645 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016909453852162178, + "loss": 1.2378, + "step": 2650 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016893650657879463, + "loss": 1.2851, + "step": 2655 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001687781458837187, + "loss": 1.31, + "step": 2660 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016861945719160248, + "loss": 1.2882, + "step": 2665 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016846044125921867, + "loss": 1.2105, + "step": 2670 + }, + { + "epoch": 0.33, + "learning_rate": 0.00016830109884490049, + "loss": 1.2422, + "step": 2675 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016814143070853813, + "loss": 1.2301, + "step": 2680 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016798143761157525, + "loss": 1.2842, + "step": 2685 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016782112031700502, + "loss": 1.2508, + "step": 2690 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001676604795893668, + "loss": 1.202, + "step": 2695 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016749951619474243, + "loss": 1.2585, + "step": 2700 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016733823090075232, + "loss": 1.2397, + "step": 2705 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001671766244765522, + "loss": 1.2387, + "step": 2710 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016701469769282913, + "loss": 1.2806, + "step": 2715 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016685245132179794, + "loss": 1.2827, + "step": 2720 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016668988613719764, + "loss": 1.2304, + "step": 2725 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016652700291428744, + "loss": 1.2337, + "step": 2730 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016636380242984346, + "loss": 1.2598, + "step": 2735 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001662002854621547, + "loss": 1.2078, + "step": 2740 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016603645279101952, + "loss": 1.2609, + "step": 2745 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016587230519774169, + "loss": 1.211, + "step": 2750 + }, + { + "epoch": 0.34, + "learning_rate": 0.00016570784346512694, + "loss": 1.2144, + "step": 2755 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016554306837747912, + "loss": 1.2476, + "step": 2760 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001653779807205963, + "loss": 1.2652, + "step": 2765 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001652125812817674, + "loss": 1.2504, + "step": 2770 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016504687084976794, + "loss": 1.1935, + "step": 2775 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016488085021485675, + "loss": 1.2251, + "step": 2780 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016471452016877188, + "loss": 1.2192, + "step": 2785 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016454788150472693, + "loss": 1.2401, + "step": 2790 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016438093501740735, + "loss": 1.2254, + "step": 2795 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001642136815029665, + "loss": 1.2878, + "step": 2800 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016404612175902197, + "loss": 1.2561, + "step": 2805 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016387825658465167, + "loss": 1.2686, + "step": 2810 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016371008678039018, + "loss": 1.2746, + "step": 2815 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016354161314822475, + "loss": 1.2332, + "step": 2820 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016337283649159158, + "loss": 1.2709, + "step": 2825 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016320375761537202, + "loss": 1.2278, + "step": 2830 + }, + { + "epoch": 0.35, + "learning_rate": 0.00016303437732588858, + "loss": 1.2682, + "step": 2835 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016286469643090126, + "loss": 1.2119, + "step": 2840 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001626947157396036, + "loss": 1.2684, + "step": 2845 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001625244360626189, + "loss": 1.2188, + "step": 2850 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001623538582119961, + "loss": 1.2124, + "step": 2855 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001621829830012064, + "loss": 1.191, + "step": 2860 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001620118112451388, + "loss": 1.1922, + "step": 2865 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016184034376009673, + "loss": 1.2112, + "step": 2870 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016166858136379376, + "loss": 1.2414, + "step": 2875 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016149652487534993, + "loss": 1.2477, + "step": 2880 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016132417511528782, + "loss": 1.2556, + "step": 2885 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016115153290552855, + "loss": 1.2735, + "step": 2890 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001609785990693879, + "loss": 1.2619, + "step": 2895 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016080537443157237, + "loss": 1.2559, + "step": 2900 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016063185981817537, + "loss": 1.3063, + "step": 2905 + }, + { + "epoch": 0.36, + "learning_rate": 0.00016045805605667307, + "loss": 1.2238, + "step": 2910 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001602839639759206, + "loss": 1.2689, + "step": 2915 + }, + { + "epoch": 0.37, + "learning_rate": 0.00016010958440614812, + "loss": 1.2607, + "step": 2920 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001599349181789567, + "loss": 1.2254, + "step": 2925 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001597599661273145, + "loss": 1.1683, + "step": 2930 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015958472908555272, + "loss": 1.268, + "step": 2935 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001594092078893618, + "loss": 1.2261, + "step": 2940 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015923340337578706, + "loss": 1.2434, + "step": 2945 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015905731638322506, + "loss": 1.1929, + "step": 2950 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001588809477514195, + "loss": 1.1871, + "step": 2955 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015870429832145713, + "loss": 1.227, + "step": 2960 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015852736893576385, + "loss": 1.2298, + "step": 2965 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015835016043810066, + "loss": 1.2299, + "step": 2970 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015817267367355953, + "loss": 1.251, + "step": 2975 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015799490948855956, + "loss": 1.2291, + "step": 2980 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015781686873084276, + "loss": 1.2134, + "step": 2985 + }, + { + "epoch": 0.37, + "learning_rate": 0.00015763855224947018, + "loss": 1.2284, + "step": 2990 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001574599608948177, + "loss": 1.2804, + "step": 2995 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015728109551857203, + "loss": 1.2652, + "step": 3000 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015710195697372684, + "loss": 1.2871, + "step": 3005 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015692254611457824, + "loss": 1.2627, + "step": 3010 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015674286379672121, + "loss": 1.2247, + "step": 3015 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001565629108770452, + "loss": 1.2207, + "step": 3020 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001563826882137301, + "loss": 1.2157, + "step": 3025 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015620219666624233, + "loss": 1.2401, + "step": 3030 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015602143709533042, + "loss": 1.2599, + "step": 3035 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015584041036302118, + "loss": 1.1988, + "step": 3040 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015565911733261546, + "loss": 1.2576, + "step": 3045 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015547755886868408, + "loss": 1.3267, + "step": 3050 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015529573583706374, + "loss": 1.2688, + "step": 3055 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015511364910485268, + "loss": 1.2372, + "step": 3060 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015493129954040685, + "loss": 1.2339, + "step": 3065 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015474868801333558, + "loss": 1.2404, + "step": 3070 + }, + { + "epoch": 0.38, + "learning_rate": 0.00015456581539449754, + "loss": 1.1373, + "step": 3075 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015438268255599632, + "loss": 1.253, + "step": 3080 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015419929037117675, + "loss": 1.1828, + "step": 3085 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015401563971462027, + "loss": 1.1713, + "step": 3090 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015383173146214102, + "loss": 1.2104, + "step": 3095 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015364756649078159, + "loss": 1.2163, + "step": 3100 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015346314567880878, + "loss": 1.1944, + "step": 3105 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015327846990570958, + "loss": 1.2301, + "step": 3110 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001530935400521868, + "loss": 1.2001, + "step": 3115 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001529083570001549, + "loss": 1.2168, + "step": 3120 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015272292163273594, + "loss": 1.238, + "step": 3125 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001525372348342551, + "loss": 1.2627, + "step": 3130 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015235129749023674, + "loss": 1.2227, + "step": 3135 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015216511048740005, + "loss": 1.1709, + "step": 3140 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015197867471365467, + "loss": 1.2762, + "step": 3145 + }, + { + "epoch": 0.39, + "learning_rate": 0.00015179199105809675, + "loss": 1.2718, + "step": 3150 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001516050604110046, + "loss": 1.2289, + "step": 3155 + }, + { + "epoch": 0.4, + "learning_rate": 0.00015141788366383423, + "loss": 1.2397, + "step": 3160 + }, + { + "epoch": 0.4, + "learning_rate": 0.00015123046170921543, + "loss": 1.1637, + "step": 3165 + }, + { + "epoch": 0.4, + "learning_rate": 0.00015104279544094737, + "loss": 1.2437, + "step": 3170 + }, + { + "epoch": 0.4, + "learning_rate": 0.00015085488575399417, + "loss": 1.1972, + "step": 3175 + }, + { + "epoch": 0.4, + "learning_rate": 0.00015066673354448105, + "loss": 1.2844, + "step": 3180 + }, + { + "epoch": 0.4, + "learning_rate": 0.00015047833970968953, + "loss": 1.3154, + "step": 3185 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001502897051480536, + "loss": 1.2179, + "step": 3190 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001501008307591552, + "loss": 1.2595, + "step": 3195 + }, + { + "epoch": 0.4, + "learning_rate": 0.00014991171744372, + "loss": 1.2375, + "step": 3200 + }, + { + "epoch": 0.4, + "learning_rate": 0.000149722366103613, + "loss": 1.2673, + "step": 3205 + }, + { + "epoch": 0.4, + "learning_rate": 0.00014953277764183452, + "loss": 1.2851, + "step": 3210 + }, + { + "epoch": 0.4, + "learning_rate": 0.00014934295296251547, + "loss": 1.2117, + "step": 3215 + }, + { + "epoch": 0.4, + "learning_rate": 0.00014915289297091338, + "loss": 1.2198, + "step": 3220 + }, + { + "epoch": 0.4, + "learning_rate": 0.00014896259857340795, + "loss": 1.1985, + "step": 3225 + }, + { + "epoch": 0.4, + "learning_rate": 0.00014877207067749674, + "loss": 1.2304, + "step": 3230 + }, + { + "epoch": 0.4, + "learning_rate": 0.00014858131019179082, + "loss": 1.2464, + "step": 3235 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014839031802601048, + "loss": 1.2517, + "step": 3240 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014819909509098094, + "loss": 1.2296, + "step": 3245 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014800764229862774, + "loss": 1.2287, + "step": 3250 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014781596056197282, + "loss": 1.2462, + "step": 3255 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001476240507951298, + "loss": 1.2502, + "step": 3260 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001474319139132998, + "loss": 1.2512, + "step": 3265 + }, + { + "epoch": 0.41, + "learning_rate": 0.000147239550832767, + "loss": 1.2273, + "step": 3270 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014704696247089437, + "loss": 1.2185, + "step": 3275 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014685414974611912, + "loss": 1.2294, + "step": 3280 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014666111357794853, + "loss": 1.2273, + "step": 3285 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014646785488695545, + "loss": 1.1954, + "step": 3290 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014627437459477382, + "loss": 1.1856, + "step": 3295 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014608067362409453, + "loss": 1.1759, + "step": 3300 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014588675289866073, + "loss": 1.2482, + "step": 3305 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014569261334326363, + "loss": 1.2644, + "step": 3310 + }, + { + "epoch": 0.41, + "learning_rate": 0.00014549825588373804, + "loss": 1.251, + "step": 3315 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014530368144695784, + "loss": 1.2328, + "step": 3320 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014510889096083177, + "loss": 1.2098, + "step": 3325 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014491388535429887, + "loss": 1.216, + "step": 3330 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014471866555732397, + "loss": 1.2758, + "step": 3335 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001445232325008935, + "loss": 1.2326, + "step": 3340 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001443275871170108, + "loss": 1.2107, + "step": 3345 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014413173033869182, + "loss": 1.2861, + "step": 3350 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014393566309996064, + "loss": 1.2235, + "step": 3355 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014373938633584495, + "loss": 1.2372, + "step": 3360 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014354290098237175, + "loss": 1.2765, + "step": 3365 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014334620797656274, + "loss": 1.1621, + "step": 3370 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001431493082564298, + "loss": 1.2785, + "step": 3375 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014295220276097076, + "loss": 1.1814, + "step": 3380 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014275489243016472, + "loss": 1.2518, + "step": 3385 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014255737820496759, + "loss": 1.2243, + "step": 3390 + }, + { + "epoch": 0.42, + "learning_rate": 0.00014235966102730765, + "loss": 1.223, + "step": 3395 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001421617418400811, + "loss": 1.1933, + "step": 3400 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001419636215871474, + "loss": 1.2774, + "step": 3405 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014176530121332495, + "loss": 1.2666, + "step": 3410 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014156678166438652, + "loss": 1.1821, + "step": 3415 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014136806388705464, + "loss": 1.178, + "step": 3420 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014116914882899732, + "loss": 1.2215, + "step": 3425 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014097003743882326, + "loss": 1.2634, + "step": 3430 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014077073066607744, + "loss": 1.1969, + "step": 3435 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014057122946123672, + "loss": 1.2263, + "step": 3440 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014037153477570514, + "loss": 1.2308, + "step": 3445 + }, + { + "epoch": 0.43, + "learning_rate": 0.00014017164756180935, + "loss": 1.1962, + "step": 3450 + }, + { + "epoch": 0.43, + "learning_rate": 0.00013997156877279426, + "loss": 1.2014, + "step": 3455 + }, + { + "epoch": 0.43, + "learning_rate": 0.00013977129936281835, + "loss": 1.2328, + "step": 3460 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001395708402869491, + "loss": 1.227, + "step": 3465 + }, + { + "epoch": 0.43, + "learning_rate": 0.00013937019250115856, + "loss": 1.2449, + "step": 3470 + }, + { + "epoch": 0.43, + "learning_rate": 0.00013916935696231872, + "loss": 1.2108, + "step": 3475 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013896833462819693, + "loss": 1.2102, + "step": 3480 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001387671264574513, + "loss": 1.1968, + "step": 3485 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013856573340962627, + "loss": 1.2224, + "step": 3490 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013836415644514788, + "loss": 1.2414, + "step": 3495 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013816239652531928, + "loss": 1.2562, + "step": 3500 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001379604546123161, + "loss": 1.2191, + "step": 3505 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001377583316691819, + "loss": 1.3249, + "step": 3510 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001375560286598236, + "loss": 1.2205, + "step": 3515 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013735354654900665, + "loss": 1.2754, + "step": 3520 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013715088630235087, + "loss": 1.2142, + "step": 3525 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013694804888632545, + "loss": 1.2218, + "step": 3530 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013674503526824453, + "loss": 1.2239, + "step": 3535 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013654184641626252, + "loss": 1.1762, + "step": 3540 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001363384832993695, + "loss": 1.2461, + "step": 3545 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001361349468873866, + "loss": 1.2013, + "step": 3550 + }, + { + "epoch": 0.44, + "learning_rate": 0.00013593123815096146, + "loss": 1.2304, + "step": 3555 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013572735806156343, + "loss": 1.2343, + "step": 3560 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013552330759147903, + "loss": 1.2204, + "step": 3565 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001353190877138074, + "loss": 1.2359, + "step": 3570 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001351146994024554, + "loss": 1.1503, + "step": 3575 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013491014363213336, + "loss": 1.2075, + "step": 3580 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013470542137835004, + "loss": 1.2239, + "step": 3585 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013450053361740814, + "loss": 1.2348, + "step": 3590 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001342954813263998, + "loss": 1.2395, + "step": 3595 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013409026548320165, + "loss": 1.2416, + "step": 3600 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013388488706647032, + "loss": 1.2191, + "step": 3605 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013367934705563777, + "loss": 1.2614, + "step": 3610 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013347364643090655, + "loss": 1.2729, + "step": 3615 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013326778617324517, + "loss": 1.2628, + "step": 3620 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001330617672643835, + "loss": 1.2214, + "step": 3625 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013285559068680784, + "loss": 1.2435, + "step": 3630 + }, + { + "epoch": 0.45, + "learning_rate": 0.00013264925742375656, + "loss": 1.2333, + "step": 3635 + }, + { + "epoch": 0.46, + "learning_rate": 0.00013244276845921513, + "loss": 1.233, + "step": 3640 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001322361247779116, + "loss": 1.2332, + "step": 3645 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001320293273653119, + "loss": 1.2308, + "step": 3650 + }, + { + "epoch": 0.46, + "learning_rate": 0.00013182237720761497, + "loss": 1.2198, + "step": 3655 + }, + { + "epoch": 0.46, + "learning_rate": 0.00013161527529174827, + "loss": 1.219, + "step": 3660 + }, + { + "epoch": 0.46, + "learning_rate": 0.000131408022605363, + "loss": 1.2969, + "step": 3665 + }, + { + "epoch": 0.46, + "learning_rate": 0.00013120062013682928, + "loss": 1.1839, + "step": 3670 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001309930688752316, + "loss": 1.2227, + "step": 3675 + }, + { + "epoch": 0.46, + "learning_rate": 0.000130785369810364, + "loss": 1.2469, + "step": 3680 + }, + { + "epoch": 0.46, + "learning_rate": 0.00013057752393272538, + "loss": 1.2505, + "step": 3685 + }, + { + "epoch": 0.46, + "learning_rate": 0.00013036953223351477, + "loss": 1.2452, + "step": 3690 + }, + { + "epoch": 0.46, + "learning_rate": 0.00013016139570462673, + "loss": 1.2318, + "step": 3695 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001299531153386463, + "loss": 1.2157, + "step": 3700 + }, + { + "epoch": 0.46, + "learning_rate": 0.00012974469212884458, + "loss": 1.2075, + "step": 3705 + }, + { + "epoch": 0.46, + "learning_rate": 0.00012953612706917387, + "loss": 1.2625, + "step": 3710 + }, + { + "epoch": 0.46, + "learning_rate": 0.00012932742115426296, + "loss": 1.2312, + "step": 3715 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012911857537941233, + "loss": 1.252, + "step": 3720 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012890959074058942, + "loss": 1.1984, + "step": 3725 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012870046823442396, + "loss": 1.2742, + "step": 3730 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012849120885820314, + "loss": 1.2287, + "step": 3735 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012828181360986684, + "loss": 1.2188, + "step": 3740 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012807228348800292, + "loss": 1.2021, + "step": 3745 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012786261949184244, + "loss": 1.2176, + "step": 3750 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012765282262125493, + "loss": 1.2642, + "step": 3755 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001274428938767435, + "loss": 1.2589, + "step": 3760 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001272328342594403, + "loss": 1.2158, + "step": 3765 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012702264477110144, + "loss": 1.2653, + "step": 3770 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012681232641410244, + "loss": 1.1943, + "step": 3775 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001266018801914334, + "loss": 1.2019, + "step": 3780 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012639130710669422, + "loss": 1.239, + "step": 3785 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001261806081640897, + "loss": 1.2525, + "step": 3790 + }, + { + "epoch": 0.47, + "learning_rate": 0.00012596978436842497, + "loss": 1.2084, + "step": 3795 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001257588367251005, + "loss": 1.2541, + "step": 3800 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012554776624010736, + "loss": 1.2445, + "step": 3805 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012533657392002254, + "loss": 1.3241, + "step": 3810 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001251252607720039, + "loss": 1.214, + "step": 3815 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012491382780378563, + "loss": 1.1838, + "step": 3820 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001247022760236733, + "loss": 1.2175, + "step": 3825 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012449060644053906, + "loss": 1.2644, + "step": 3830 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012427882006381697, + "loss": 1.2223, + "step": 3835 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001240669179034979, + "loss": 1.2521, + "step": 3840 + }, + { + "epoch": 0.48, + "learning_rate": 0.000123854900970125, + "loss": 1.21, + "step": 3845 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001236427702747887, + "loss": 1.2301, + "step": 3850 + }, + { + "epoch": 0.48, + "learning_rate": 0.000123430526829122, + "loss": 1.191, + "step": 3855 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012321817164529547, + "loss": 1.2101, + "step": 3860 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001230057057360128, + "loss": 1.2101, + "step": 3865 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012279313011450546, + "loss": 1.2114, + "step": 3870 + }, + { + "epoch": 0.48, + "learning_rate": 0.00012258044579452828, + "loss": 1.1698, + "step": 3875 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001223676537903544, + "loss": 1.1669, + "step": 3880 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012215475511677054, + "loss": 1.2586, + "step": 3885 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012194175078907211, + "loss": 1.2373, + "step": 3890 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012172864182305832, + "loss": 1.1786, + "step": 3895 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012151542923502745, + "loss": 1.1985, + "step": 3900 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012130211404177197, + "loss": 1.2568, + "step": 3905 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012108869726057354, + "loss": 1.2496, + "step": 3910 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012087517990919839, + "loss": 1.2345, + "step": 3915 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012066156300589237, + "loss": 1.262, + "step": 3920 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012044784756937603, + "loss": 1.2524, + "step": 3925 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012023403461883985, + "loss": 1.2083, + "step": 3930 + }, + { + "epoch": 0.49, + "learning_rate": 0.00012002012517393931, + "loss": 1.2374, + "step": 3935 + }, + { + "epoch": 0.49, + "learning_rate": 0.00011980612025479012, + "loss": 1.1824, + "step": 3940 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001195920208819632, + "loss": 1.2438, + "step": 3945 + }, + { + "epoch": 0.49, + "learning_rate": 0.00011937782807648009, + "loss": 1.2397, + "step": 3950 + }, + { + "epoch": 0.49, + "learning_rate": 0.00011916354285980767, + "loss": 1.2076, + "step": 3955 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011894916625385368, + "loss": 1.1825, + "step": 3960 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011873469928096169, + "loss": 1.2031, + "step": 3965 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011852014296390612, + "loss": 1.301, + "step": 3970 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011830549832588755, + "loss": 1.2132, + "step": 3975 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011809076639052774, + "loss": 1.2509, + "step": 3980 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011787594818186474, + "loss": 1.2458, + "step": 3985 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011766104472434803, + "loss": 1.2608, + "step": 3990 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011744605704283369, + "loss": 1.2024, + "step": 3995 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011723098616257935, + "loss": 1.2155, + "step": 4000 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011701583310923953, + "loss": 1.3011, + "step": 4005 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011680059890886055, + "loss": 1.1795, + "step": 4010 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011658528458787568, + "loss": 1.2192, + "step": 4015 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011636989117310043, + "loss": 1.3378, + "step": 4020 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001161544196917273, + "loss": 1.1918, + "step": 4025 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011593887117132123, + "loss": 1.254, + "step": 4030 + }, + { + "epoch": 0.5, + "learning_rate": 0.00011572324663981453, + "loss": 1.218, + "step": 4035 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011550754712550196, + "loss": 1.2528, + "step": 4040 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011529177365703583, + "loss": 1.214, + "step": 4045 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011507592726342127, + "loss": 1.235, + "step": 4050 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011486000897401104, + "loss": 1.1889, + "step": 4055 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011464401981850081, + "loss": 1.2363, + "step": 4060 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011442796082692426, + "loss": 1.2479, + "step": 4065 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011421183302964806, + "loss": 1.2125, + "step": 4070 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011399563745736701, + "loss": 1.2325, + "step": 4075 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011377937514109913, + "loss": 1.2165, + "step": 4080 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011356304711218076, + "loss": 1.2282, + "step": 4085 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011334665440226156, + "loss": 1.186, + "step": 4090 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011313019804329969, + "loss": 1.228, + "step": 4095 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011291367906755683, + "loss": 1.186, + "step": 4100 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011269709850759334, + "loss": 1.2139, + "step": 4105 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011248045739626314, + "loss": 1.2892, + "step": 4110 + }, + { + "epoch": 0.51, + "learning_rate": 0.00011226375676670901, + "loss": 1.2507, + "step": 4115 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001120469976523576, + "loss": 1.1644, + "step": 4120 + }, + { + "epoch": 0.52, + "learning_rate": 0.00011183018108691435, + "loss": 1.2377, + "step": 4125 + }, + { + "epoch": 0.52, + "learning_rate": 0.00011161330810435877, + "loss": 1.1979, + "step": 4130 + }, + { + "epoch": 0.52, + "learning_rate": 0.00011139637973893939, + "loss": 1.2603, + "step": 4135 + }, + { + "epoch": 0.52, + "learning_rate": 0.00011117939702516885, + "loss": 1.219, + "step": 4140 + }, + { + "epoch": 0.52, + "learning_rate": 0.00011096236099781896, + "loss": 1.2541, + "step": 4145 + }, + { + "epoch": 0.52, + "learning_rate": 0.00011074527269191585, + "loss": 1.2586, + "step": 4150 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001105281331427349, + "loss": 1.2229, + "step": 4155 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001103109433857958, + "loss": 1.2413, + "step": 4160 + }, + { + "epoch": 0.52, + "learning_rate": 0.00011009370445685786, + "loss": 1.2441, + "step": 4165 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001098764173919147, + "loss": 1.2482, + "step": 4170 + }, + { + "epoch": 0.52, + "learning_rate": 0.00010965908322718961, + "loss": 1.3298, + "step": 4175 + }, + { + "epoch": 0.52, + "learning_rate": 0.00010944170299913048, + "loss": 1.2353, + "step": 4180 + }, + { + "epoch": 0.52, + "learning_rate": 0.00010922427774440478, + "loss": 1.2067, + "step": 4185 + }, + { + "epoch": 0.52, + "learning_rate": 0.00010900680849989485, + "loss": 1.2329, + "step": 4190 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001087892963026927, + "loss": 1.2823, + "step": 4195 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010857174219009524, + "loss": 1.2351, + "step": 4200 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010835414719959927, + "loss": 1.2786, + "step": 4205 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010813651236889648, + "loss": 1.2031, + "step": 4210 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010791883873586863, + "loss": 1.2501, + "step": 4215 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010770112733858242, + "loss": 1.2632, + "step": 4220 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001074833792152848, + "loss": 1.2244, + "step": 4225 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010726559540439768, + "loss": 1.1696, + "step": 4230 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010704777694451332, + "loss": 1.2806, + "step": 4235 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010682992487438911, + "loss": 1.2137, + "step": 4240 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001066120402329428, + "loss": 1.2607, + "step": 4245 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001063941240592474, + "loss": 1.2313, + "step": 4250 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010617617739252636, + "loss": 1.1915, + "step": 4255 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001059582012721485, + "loss": 1.2152, + "step": 4260 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010574019673762314, + "loss": 1.2638, + "step": 4265 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010552216482859507, + "loss": 1.2243, + "step": 4270 + }, + { + "epoch": 0.53, + "learning_rate": 0.00010530410658483966, + "loss": 1.1519, + "step": 4275 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010508602304625783, + "loss": 1.225, + "step": 4280 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010486791525287114, + "loss": 1.2854, + "step": 4285 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010464978424481687, + "loss": 1.2069, + "step": 4290 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001044316310623429, + "loss": 1.2527, + "step": 4295 + }, + { + "epoch": 0.54, + "learning_rate": 0.000104213456745803, + "loss": 1.2293, + "step": 4300 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010399526233565158, + "loss": 1.2178, + "step": 4305 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010377704887243902, + "loss": 1.2555, + "step": 4310 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010355881739680642, + "loss": 1.2392, + "step": 4315 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001033405689494809, + "loss": 1.2851, + "step": 4320 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010312230457127043, + "loss": 1.2787, + "step": 4325 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010290402530305901, + "loss": 1.2171, + "step": 4330 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001026857321858016, + "loss": 1.2425, + "step": 4335 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010246742626051927, + "loss": 1.1885, + "step": 4340 + }, + { + "epoch": 0.54, + "learning_rate": 0.00010224910856829409, + "loss": 1.2036, + "step": 4345 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001020307801502643, + "loss": 1.2027, + "step": 4350 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001018124420476193, + "loss": 1.2281, + "step": 4355 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010159409530159465, + "loss": 1.2505, + "step": 4360 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010137574095346712, + "loss": 1.236, + "step": 4365 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010115738004454971, + "loss": 1.2223, + "step": 4370 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010093901361618681, + "loss": 1.206, + "step": 4375 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010072064270974904, + "loss": 1.2302, + "step": 4380 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010050226836662839, + "loss": 1.2105, + "step": 4385 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010028389162823326, + "loss": 1.2582, + "step": 4390 + }, + { + "epoch": 0.55, + "learning_rate": 0.00010006551353598346, + "loss": 1.2539, + "step": 4395 + }, + { + "epoch": 0.55, + "learning_rate": 9.984713513130528e-05, + "loss": 1.2426, + "step": 4400 + }, + { + "epoch": 0.55, + "learning_rate": 9.962875745562645e-05, + "loss": 1.2193, + "step": 4405 + }, + { + "epoch": 0.55, + "learning_rate": 9.941038155037124e-05, + "loss": 1.271, + "step": 4410 + }, + { + "epoch": 0.55, + "learning_rate": 9.919200845695555e-05, + "loss": 1.2371, + "step": 4415 + }, + { + "epoch": 0.55, + "learning_rate": 9.897363921678175e-05, + "loss": 1.1791, + "step": 4420 + }, + { + "epoch": 0.55, + "learning_rate": 9.875527487123397e-05, + "loss": 1.2047, + "step": 4425 + }, + { + "epoch": 0.55, + "learning_rate": 9.853691646167285e-05, + "loss": 1.2166, + "step": 4430 + }, + { + "epoch": 0.55, + "learning_rate": 9.83185650294308e-05, + "loss": 1.2113, + "step": 4435 + }, + { + "epoch": 0.56, + "learning_rate": 9.810022161580699e-05, + "loss": 1.216, + "step": 4440 + }, + { + "epoch": 0.56, + "learning_rate": 9.788188726206226e-05, + "loss": 1.2434, + "step": 4445 + }, + { + "epoch": 0.56, + "learning_rate": 9.766356300941439e-05, + "loss": 1.279, + "step": 4450 + }, + { + "epoch": 0.56, + "learning_rate": 9.744524989903278e-05, + "loss": 1.2606, + "step": 4455 + }, + { + "epoch": 0.56, + "learning_rate": 9.722694897203387e-05, + "loss": 1.2013, + "step": 4460 + }, + { + "epoch": 0.56, + "learning_rate": 9.70086612694759e-05, + "loss": 1.2099, + "step": 4465 + }, + { + "epoch": 0.56, + "learning_rate": 9.679038783235416e-05, + "loss": 1.2342, + "step": 4470 + }, + { + "epoch": 0.56, + "learning_rate": 9.657212970159573e-05, + "loss": 1.191, + "step": 4475 + }, + { + "epoch": 0.56, + "learning_rate": 9.635388791805481e-05, + "loss": 1.195, + "step": 4480 + }, + { + "epoch": 0.56, + "learning_rate": 9.61356635225077e-05, + "loss": 1.2266, + "step": 4485 + }, + { + "epoch": 0.56, + "learning_rate": 9.591745755564761e-05, + "loss": 1.2287, + "step": 4490 + }, + { + "epoch": 0.56, + "learning_rate": 9.569927105808005e-05, + "loss": 1.2673, + "step": 4495 + }, + { + "epoch": 0.56, + "learning_rate": 9.54811050703175e-05, + "loss": 1.2062, + "step": 4500 + }, + { + "epoch": 0.56, + "learning_rate": 9.52629606327748e-05, + "loss": 1.2824, + "step": 4505 + }, + { + "epoch": 0.56, + "learning_rate": 9.504483878576386e-05, + "loss": 1.2288, + "step": 4510 + }, + { + "epoch": 0.56, + "learning_rate": 9.482674056948902e-05, + "loss": 1.2111, + "step": 4515 + }, + { + "epoch": 0.57, + "learning_rate": 9.460866702404178e-05, + "loss": 1.2076, + "step": 4520 + }, + { + "epoch": 0.57, + "learning_rate": 9.439061918939615e-05, + "loss": 1.1897, + "step": 4525 + }, + { + "epoch": 0.57, + "learning_rate": 9.417259810540332e-05, + "loss": 1.1975, + "step": 4530 + }, + { + "epoch": 0.57, + "learning_rate": 9.395460481178705e-05, + "loss": 1.2569, + "step": 4535 + }, + { + "epoch": 0.57, + "learning_rate": 9.373664034813858e-05, + "loss": 1.2109, + "step": 4540 + }, + { + "epoch": 0.57, + "learning_rate": 9.351870575391154e-05, + "loss": 1.2787, + "step": 4545 + }, + { + "epoch": 0.57, + "learning_rate": 9.33008020684173e-05, + "loss": 1.2448, + "step": 4550 + }, + { + "epoch": 0.57, + "learning_rate": 9.308293033081964e-05, + "loss": 1.2316, + "step": 4555 + }, + { + "epoch": 0.57, + "learning_rate": 9.286509158013012e-05, + "loss": 1.2503, + "step": 4560 + }, + { + "epoch": 0.57, + "learning_rate": 9.264728685520289e-05, + "loss": 1.2337, + "step": 4565 + }, + { + "epoch": 0.57, + "learning_rate": 9.242951719472995e-05, + "loss": 1.2349, + "step": 4570 + }, + { + "epoch": 0.57, + "learning_rate": 9.221178363723595e-05, + "loss": 1.2612, + "step": 4575 + }, + { + "epoch": 0.57, + "learning_rate": 9.199408722107342e-05, + "loss": 1.2396, + "step": 4580 + }, + { + "epoch": 0.57, + "learning_rate": 9.177642898441784e-05, + "loss": 1.1769, + "step": 4585 + }, + { + "epoch": 0.57, + "learning_rate": 9.155880996526248e-05, + "loss": 1.2807, + "step": 4590 + }, + { + "epoch": 0.57, + "learning_rate": 9.134123120141373e-05, + "loss": 1.2658, + "step": 4595 + }, + { + "epoch": 0.58, + "learning_rate": 9.112369373048587e-05, + "loss": 1.222, + "step": 4600 + }, + { + "epoch": 0.58, + "learning_rate": 9.090619858989636e-05, + "loss": 1.212, + "step": 4605 + }, + { + "epoch": 0.58, + "learning_rate": 9.068874681686068e-05, + "loss": 1.2026, + "step": 4610 + }, + { + "epoch": 0.58, + "learning_rate": 9.047133944838766e-05, + "loss": 1.2289, + "step": 4615 + }, + { + "epoch": 0.58, + "learning_rate": 9.025397752127424e-05, + "loss": 1.2567, + "step": 4620 + }, + { + "epoch": 0.58, + "learning_rate": 9.003666207210064e-05, + "loss": 1.1785, + "step": 4625 + }, + { + "epoch": 0.58, + "learning_rate": 8.981939413722553e-05, + "loss": 1.2138, + "step": 4630 + }, + { + "epoch": 0.58, + "learning_rate": 8.960217475278089e-05, + "loss": 1.2448, + "step": 4635 + }, + { + "epoch": 0.58, + "learning_rate": 8.938500495466729e-05, + "loss": 1.182, + "step": 4640 + }, + { + "epoch": 0.58, + "learning_rate": 8.916788577854861e-05, + "loss": 1.2004, + "step": 4645 + }, + { + "epoch": 0.58, + "learning_rate": 8.895081825984762e-05, + "loss": 1.2413, + "step": 4650 + }, + { + "epoch": 0.58, + "learning_rate": 8.873380343374047e-05, + "loss": 1.2421, + "step": 4655 + }, + { + "epoch": 0.58, + "learning_rate": 8.851684233515217e-05, + "loss": 1.236, + "step": 4660 + }, + { + "epoch": 0.58, + "learning_rate": 8.829993599875149e-05, + "loss": 1.2721, + "step": 4665 + }, + { + "epoch": 0.58, + "learning_rate": 8.808308545894595e-05, + "loss": 1.1742, + "step": 4670 + }, + { + "epoch": 0.58, + "learning_rate": 8.786629174987713e-05, + "loss": 1.2497, + "step": 4675 + }, + { + "epoch": 0.59, + "learning_rate": 8.764955590541546e-05, + "loss": 1.2308, + "step": 4680 + }, + { + "epoch": 0.59, + "learning_rate": 8.743287895915553e-05, + "loss": 1.2241, + "step": 4685 + }, + { + "epoch": 0.59, + "learning_rate": 8.721626194441093e-05, + "loss": 1.2789, + "step": 4690 + }, + { + "epoch": 0.59, + "learning_rate": 8.699970589420957e-05, + "loss": 1.2332, + "step": 4695 + }, + { + "epoch": 0.59, + "learning_rate": 8.678321184128847e-05, + "loss": 1.2229, + "step": 4700 + }, + { + "epoch": 0.59, + "learning_rate": 8.656678081808915e-05, + "loss": 1.2342, + "step": 4705 + }, + { + "epoch": 0.59, + "learning_rate": 8.635041385675248e-05, + "loss": 1.2235, + "step": 4710 + }, + { + "epoch": 0.59, + "learning_rate": 8.613411198911374e-05, + "loss": 1.1992, + "step": 4715 + }, + { + "epoch": 0.59, + "learning_rate": 8.591787624669799e-05, + "loss": 1.2564, + "step": 4720 + }, + { + "epoch": 0.59, + "learning_rate": 8.570170766071468e-05, + "loss": 1.2247, + "step": 4725 + }, + { + "epoch": 0.59, + "learning_rate": 8.548560726205325e-05, + "loss": 1.3024, + "step": 4730 + }, + { + "epoch": 0.59, + "learning_rate": 8.526957608127776e-05, + "loss": 1.1935, + "step": 4735 + }, + { + "epoch": 0.59, + "learning_rate": 8.505361514862235e-05, + "loss": 1.2182, + "step": 4740 + }, + { + "epoch": 0.59, + "learning_rate": 8.483772549398595e-05, + "loss": 1.263, + "step": 4745 + }, + { + "epoch": 0.59, + "learning_rate": 8.46219081469278e-05, + "loss": 1.1936, + "step": 4750 + }, + { + "epoch": 0.59, + "learning_rate": 8.440616413666215e-05, + "loss": 1.2138, + "step": 4755 + }, + { + "epoch": 0.6, + "learning_rate": 8.419049449205351e-05, + "loss": 1.252, + "step": 4760 + }, + { + "epoch": 0.6, + "learning_rate": 8.397490024161191e-05, + "loss": 1.2403, + "step": 4765 + }, + { + "epoch": 0.6, + "learning_rate": 8.37593824134876e-05, + "loss": 1.2067, + "step": 4770 + }, + { + "epoch": 0.6, + "learning_rate": 8.354394203546658e-05, + "loss": 1.2379, + "step": 4775 + }, + { + "epoch": 0.6, + "learning_rate": 8.332858013496536e-05, + "loss": 1.1946, + "step": 4780 + }, + { + "epoch": 0.6, + "learning_rate": 8.31132977390263e-05, + "loss": 1.2411, + "step": 4785 + }, + { + "epoch": 0.6, + "learning_rate": 8.289809587431252e-05, + "loss": 1.2003, + "step": 4790 + }, + { + "epoch": 0.6, + "learning_rate": 8.26829755671032e-05, + "loss": 1.219, + "step": 4795 + }, + { + "epoch": 0.6, + "learning_rate": 8.246793784328843e-05, + "loss": 1.2263, + "step": 4800 + }, + { + "epoch": 0.6, + "learning_rate": 8.225298372836458e-05, + "loss": 1.2, + "step": 4805 + }, + { + "epoch": 0.6, + "learning_rate": 8.203811424742934e-05, + "loss": 1.2614, + "step": 4810 + }, + { + "epoch": 0.6, + "learning_rate": 8.182333042517657e-05, + "loss": 1.1986, + "step": 4815 + }, + { + "epoch": 0.6, + "learning_rate": 8.16086332858919e-05, + "loss": 1.1986, + "step": 4820 + }, + { + "epoch": 0.6, + "learning_rate": 8.139402385344739e-05, + "loss": 1.202, + "step": 4825 + }, + { + "epoch": 0.6, + "learning_rate": 8.117950315129694e-05, + "loss": 1.277, + "step": 4830 + }, + { + "epoch": 0.6, + "learning_rate": 8.096507220247122e-05, + "loss": 1.3144, + "step": 4835 + }, + { + "epoch": 0.61, + "learning_rate": 8.075073202957297e-05, + "loss": 1.2113, + "step": 4840 + }, + { + "epoch": 0.61, + "learning_rate": 8.053648365477192e-05, + "loss": 1.2616, + "step": 4845 + }, + { + "epoch": 0.61, + "learning_rate": 8.032232809980006e-05, + "loss": 1.2243, + "step": 4850 + }, + { + "epoch": 0.61, + "learning_rate": 8.01082663859468e-05, + "loss": 1.2503, + "step": 4855 + }, + { + "epoch": 0.61, + "learning_rate": 7.989429953405391e-05, + "loss": 1.2659, + "step": 4860 + }, + { + "epoch": 0.61, + "learning_rate": 7.968042856451093e-05, + "loss": 1.2506, + "step": 4865 + }, + { + "epoch": 0.61, + "learning_rate": 7.946665449724992e-05, + "loss": 1.2295, + "step": 4870 + }, + { + "epoch": 0.61, + "learning_rate": 7.925297835174107e-05, + "loss": 1.211, + "step": 4875 + }, + { + "epoch": 0.61, + "learning_rate": 7.90394011469874e-05, + "loss": 1.2293, + "step": 4880 + }, + { + "epoch": 0.61, + "learning_rate": 7.882592390152022e-05, + "loss": 1.2292, + "step": 4885 + }, + { + "epoch": 0.61, + "learning_rate": 7.861254763339405e-05, + "loss": 1.3234, + "step": 4890 + }, + { + "epoch": 0.61, + "learning_rate": 7.839927336018187e-05, + "loss": 1.2277, + "step": 4895 + }, + { + "epoch": 0.61, + "learning_rate": 7.818610209897031e-05, + "loss": 1.2077, + "step": 4900 + }, + { + "epoch": 0.61, + "learning_rate": 7.79730348663547e-05, + "loss": 1.2091, + "step": 4905 + }, + { + "epoch": 0.61, + "learning_rate": 7.776007267843432e-05, + "loss": 1.2563, + "step": 4910 + }, + { + "epoch": 0.61, + "learning_rate": 7.754721655080735e-05, + "loss": 1.2012, + "step": 4915 + }, + { + "epoch": 0.62, + "learning_rate": 7.733446749856643e-05, + "loss": 1.223, + "step": 4920 + }, + { + "epoch": 0.62, + "learning_rate": 7.712182653629332e-05, + "loss": 1.1959, + "step": 4925 + }, + { + "epoch": 0.62, + "learning_rate": 7.690929467805445e-05, + "loss": 1.2364, + "step": 4930 + }, + { + "epoch": 0.62, + "learning_rate": 7.669687293739594e-05, + "loss": 1.1937, + "step": 4935 + }, + { + "epoch": 0.62, + "learning_rate": 7.648456232733865e-05, + "loss": 1.2006, + "step": 4940 + }, + { + "epoch": 0.62, + "learning_rate": 7.627236386037363e-05, + "loss": 1.2162, + "step": 4945 + }, + { + "epoch": 0.62, + "learning_rate": 7.606027854845696e-05, + "loss": 1.1784, + "step": 4950 + }, + { + "epoch": 0.62, + "learning_rate": 7.584830740300528e-05, + "loss": 1.2595, + "step": 4955 + }, + { + "epoch": 0.62, + "learning_rate": 7.563645143489063e-05, + "loss": 1.2114, + "step": 4960 + }, + { + "epoch": 0.62, + "learning_rate": 7.542471165443589e-05, + "loss": 1.2162, + "step": 4965 + }, + { + "epoch": 0.62, + "learning_rate": 7.52130890714097e-05, + "loss": 1.2254, + "step": 4970 + }, + { + "epoch": 0.62, + "learning_rate": 7.500158469502197e-05, + "loss": 1.2581, + "step": 4975 + }, + { + "epoch": 0.62, + "learning_rate": 7.479019953391879e-05, + "loss": 1.2167, + "step": 4980 + }, + { + "epoch": 0.62, + "learning_rate": 7.457893459617769e-05, + "loss": 1.221, + "step": 4985 + }, + { + "epoch": 0.62, + "learning_rate": 7.436779088930302e-05, + "loss": 1.2078, + "step": 4990 + }, + { + "epoch": 0.62, + "learning_rate": 7.41567694202208e-05, + "loss": 1.2304, + "step": 4995 + }, + { + "epoch": 0.63, + "learning_rate": 7.394587119527427e-05, + "loss": 1.2779, + "step": 5000 + }, + { + "epoch": 0.63, + "learning_rate": 7.37350972202188e-05, + "loss": 1.2631, + "step": 5005 + }, + { + "epoch": 0.63, + "learning_rate": 7.352444850021735e-05, + "loss": 1.2075, + "step": 5010 + }, + { + "epoch": 0.63, + "learning_rate": 7.331392603983538e-05, + "loss": 1.1994, + "step": 5015 + }, + { + "epoch": 0.63, + "learning_rate": 7.310353084303643e-05, + "loss": 1.2066, + "step": 5020 + }, + { + "epoch": 0.63, + "learning_rate": 7.289326391317697e-05, + "loss": 1.2265, + "step": 5025 + }, + { + "epoch": 0.63, + "learning_rate": 7.268312625300186e-05, + "loss": 1.2483, + "step": 5030 + }, + { + "epoch": 0.63, + "learning_rate": 7.24731188646395e-05, + "loss": 1.2574, + "step": 5035 + }, + { + "epoch": 0.63, + "learning_rate": 7.226324274959691e-05, + "loss": 1.2036, + "step": 5040 + }, + { + "epoch": 0.63, + "learning_rate": 7.20534989087552e-05, + "loss": 1.2612, + "step": 5045 + }, + { + "epoch": 0.63, + "learning_rate": 7.184388834236464e-05, + "loss": 1.1996, + "step": 5050 + }, + { + "epoch": 0.63, + "learning_rate": 7.163441205003997e-05, + "loss": 1.2041, + "step": 5055 + }, + { + "epoch": 0.63, + "learning_rate": 7.142507103075548e-05, + "loss": 1.233, + "step": 5060 + }, + { + "epoch": 0.63, + "learning_rate": 7.121586628284048e-05, + "loss": 1.1625, + "step": 5065 + }, + { + "epoch": 0.63, + "learning_rate": 7.100679880397429e-05, + "loss": 1.2342, + "step": 5070 + }, + { + "epoch": 0.63, + "learning_rate": 7.07978695911817e-05, + "loss": 1.2235, + "step": 5075 + }, + { + "epoch": 0.64, + "learning_rate": 7.058907964082812e-05, + "loss": 1.2313, + "step": 5080 + }, + { + "epoch": 0.64, + "learning_rate": 7.038042994861472e-05, + "loss": 1.1874, + "step": 5085 + }, + { + "epoch": 0.64, + "learning_rate": 7.017192150957397e-05, + "loss": 1.2139, + "step": 5090 + }, + { + "epoch": 0.64, + "learning_rate": 6.996355531806452e-05, + "loss": 1.2313, + "step": 5095 + }, + { + "epoch": 0.64, + "learning_rate": 6.97553323677668e-05, + "loss": 1.2437, + "step": 5100 + }, + { + "epoch": 0.64, + "learning_rate": 6.954725365167807e-05, + "loss": 1.2373, + "step": 5105 + }, + { + "epoch": 0.64, + "learning_rate": 6.93393201621078e-05, + "loss": 1.227, + "step": 5110 + }, + { + "epoch": 0.64, + "learning_rate": 6.913153289067278e-05, + "loss": 1.2191, + "step": 5115 + }, + { + "epoch": 0.64, + "learning_rate": 6.892389282829265e-05, + "loss": 1.2265, + "step": 5120 + }, + { + "epoch": 0.64, + "learning_rate": 6.871640096518491e-05, + "loss": 1.2349, + "step": 5125 + }, + { + "epoch": 0.64, + "learning_rate": 6.85090582908603e-05, + "loss": 1.2107, + "step": 5130 + }, + { + "epoch": 0.64, + "learning_rate": 6.830186579411822e-05, + "loss": 1.2257, + "step": 5135 + }, + { + "epoch": 0.64, + "learning_rate": 6.809482446304172e-05, + "loss": 1.2675, + "step": 5140 + }, + { + "epoch": 0.64, + "learning_rate": 6.788793528499307e-05, + "loss": 1.2171, + "step": 5145 + }, + { + "epoch": 0.64, + "learning_rate": 6.76811992466089e-05, + "loss": 1.2494, + "step": 5150 + }, + { + "epoch": 0.64, + "learning_rate": 6.747461733379552e-05, + "loss": 1.2435, + "step": 5155 + }, + { + "epoch": 0.65, + "learning_rate": 6.726819053172423e-05, + "loss": 1.2341, + "step": 5160 + }, + { + "epoch": 0.65, + "learning_rate": 6.70619198248267e-05, + "loss": 1.1986, + "step": 5165 + }, + { + "epoch": 0.65, + "learning_rate": 6.685580619679005e-05, + "loss": 1.248, + "step": 5170 + }, + { + "epoch": 0.65, + "learning_rate": 6.664985063055238e-05, + "loss": 1.2279, + "step": 5175 + }, + { + "epoch": 0.65, + "learning_rate": 6.644405410829806e-05, + "loss": 1.2744, + "step": 5180 + }, + { + "epoch": 0.65, + "learning_rate": 6.623841761145284e-05, + "loss": 1.2651, + "step": 5185 + }, + { + "epoch": 0.65, + "learning_rate": 6.603294212067955e-05, + "loss": 1.2297, + "step": 5190 + }, + { + "epoch": 0.65, + "learning_rate": 6.582762861587294e-05, + "loss": 1.2235, + "step": 5195 + }, + { + "epoch": 0.65, + "learning_rate": 6.562247807615549e-05, + "loss": 1.2332, + "step": 5200 + }, + { + "epoch": 0.65, + "learning_rate": 6.541749147987234e-05, + "loss": 1.2057, + "step": 5205 + }, + { + "epoch": 0.65, + "learning_rate": 6.521266980458696e-05, + "loss": 1.254, + "step": 5210 + }, + { + "epoch": 0.65, + "learning_rate": 6.500801402707617e-05, + "loss": 1.2466, + "step": 5215 + }, + { + "epoch": 0.65, + "learning_rate": 6.480352512332569e-05, + "loss": 1.1983, + "step": 5220 + }, + { + "epoch": 0.65, + "learning_rate": 6.459920406852552e-05, + "loss": 1.2202, + "step": 5225 + }, + { + "epoch": 0.65, + "learning_rate": 6.439505183706505e-05, + "loss": 1.274, + "step": 5230 + }, + { + "epoch": 0.65, + "learning_rate": 6.419106940252872e-05, + "loss": 1.2028, + "step": 5235 + }, + { + "epoch": 0.66, + "learning_rate": 6.39872577376911e-05, + "loss": 1.2583, + "step": 5240 + }, + { + "epoch": 0.66, + "learning_rate": 6.378361781451245e-05, + "loss": 1.2148, + "step": 5245 + }, + { + "epoch": 0.66, + "learning_rate": 6.358015060413398e-05, + "loss": 1.1955, + "step": 5250 + }, + { + "epoch": 0.66, + "learning_rate": 6.337685707687327e-05, + "loss": 1.2277, + "step": 5255 + }, + { + "epoch": 0.66, + "learning_rate": 6.31737382022196e-05, + "loss": 1.251, + "step": 5260 + }, + { + "epoch": 0.66, + "learning_rate": 6.297079494882927e-05, + "loss": 1.2749, + "step": 5265 + }, + { + "epoch": 0.66, + "learning_rate": 6.276802828452123e-05, + "loss": 1.2174, + "step": 5270 + }, + { + "epoch": 0.66, + "learning_rate": 6.256543917627214e-05, + "loss": 1.2224, + "step": 5275 + }, + { + "epoch": 0.66, + "learning_rate": 6.236302859021205e-05, + "loss": 1.1853, + "step": 5280 + }, + { + "epoch": 0.66, + "learning_rate": 6.216079749161946e-05, + "loss": 1.2123, + "step": 5285 + }, + { + "epoch": 0.66, + "learning_rate": 6.195874684491709e-05, + "loss": 1.2359, + "step": 5290 + }, + { + "epoch": 0.66, + "learning_rate": 6.175687761366702e-05, + "loss": 1.2675, + "step": 5295 + }, + { + "epoch": 0.66, + "learning_rate": 6.155519076056619e-05, + "loss": 1.2272, + "step": 5300 + }, + { + "epoch": 0.66, + "learning_rate": 6.13536872474418e-05, + "loss": 1.262, + "step": 5305 + }, + { + "epoch": 0.66, + "learning_rate": 6.115236803524666e-05, + "loss": 1.1697, + "step": 5310 + }, + { + "epoch": 0.66, + "learning_rate": 6.0951234084054765e-05, + "loss": 1.2045, + "step": 5315 + }, + { + "epoch": 0.67, + "learning_rate": 6.075028635305653e-05, + "loss": 1.2479, + "step": 5320 + }, + { + "epoch": 0.67, + "learning_rate": 6.054952580055439e-05, + "loss": 1.171, + "step": 5325 + }, + { + "epoch": 0.67, + "learning_rate": 6.034895338395801e-05, + "loss": 1.1941, + "step": 5330 + }, + { + "epoch": 0.67, + "learning_rate": 6.014857005978003e-05, + "loss": 1.1904, + "step": 5335 + }, + { + "epoch": 0.67, + "learning_rate": 5.994837678363112e-05, + "loss": 1.1995, + "step": 5340 + }, + { + "epoch": 0.67, + "learning_rate": 5.97483745102158e-05, + "loss": 1.2285, + "step": 5345 + }, + { + "epoch": 0.67, + "learning_rate": 5.9548564193327636e-05, + "loss": 1.2381, + "step": 5350 + }, + { + "epoch": 0.67, + "learning_rate": 5.9348946785844727e-05, + "loss": 1.2373, + "step": 5355 + }, + { + "epoch": 0.67, + "learning_rate": 5.914952323972536e-05, + "loss": 1.2439, + "step": 5360 + }, + { + "epoch": 0.67, + "learning_rate": 5.8950294506003104e-05, + "loss": 1.2676, + "step": 5365 + }, + { + "epoch": 0.67, + "learning_rate": 5.8751261534782655e-05, + "loss": 1.2708, + "step": 5370 + }, + { + "epoch": 0.67, + "learning_rate": 5.8552425275235035e-05, + "loss": 1.2583, + "step": 5375 + }, + { + "epoch": 0.67, + "learning_rate": 5.835378667559323e-05, + "loss": 1.2292, + "step": 5380 + }, + { + "epoch": 0.67, + "learning_rate": 5.8155346683147584e-05, + "loss": 1.196, + "step": 5385 + }, + { + "epoch": 0.67, + "learning_rate": 5.7957106244241263e-05, + "loss": 1.1872, + "step": 5390 + }, + { + "epoch": 0.67, + "learning_rate": 5.775906630426581e-05, + "loss": 1.2128, + "step": 5395 + }, + { + "epoch": 0.68, + "learning_rate": 5.75612278076566e-05, + "loss": 1.2186, + "step": 5400 + }, + { + "epoch": 0.68, + "learning_rate": 5.7363591697888365e-05, + "loss": 1.2266, + "step": 5405 + }, + { + "epoch": 0.68, + "learning_rate": 5.716615891747057e-05, + "loss": 1.2569, + "step": 5410 + }, + { + "epoch": 0.68, + "learning_rate": 5.696893040794327e-05, + "loss": 1.2047, + "step": 5415 + }, + { + "epoch": 0.68, + "learning_rate": 5.6771907109872015e-05, + "loss": 1.2267, + "step": 5420 + }, + { + "epoch": 0.68, + "learning_rate": 5.657508996284402e-05, + "loss": 1.2933, + "step": 5425 + }, + { + "epoch": 0.68, + "learning_rate": 5.637847990546323e-05, + "loss": 1.2206, + "step": 5430 + }, + { + "epoch": 0.68, + "learning_rate": 5.618207787534606e-05, + "loss": 1.2631, + "step": 5435 + }, + { + "epoch": 0.68, + "learning_rate": 5.59858848091168e-05, + "loss": 1.2402, + "step": 5440 + }, + { + "epoch": 0.68, + "learning_rate": 5.5789901642403274e-05, + "loss": 1.1605, + "step": 5445 + }, + { + "epoch": 0.68, + "learning_rate": 5.5594129309832275e-05, + "loss": 1.276, + "step": 5450 + }, + { + "epoch": 0.68, + "learning_rate": 5.539856874502512e-05, + "loss": 1.2453, + "step": 5455 + }, + { + "epoch": 0.68, + "learning_rate": 5.520322088059334e-05, + "loss": 1.2295, + "step": 5460 + }, + { + "epoch": 0.68, + "learning_rate": 5.500808664813399e-05, + "loss": 1.2992, + "step": 5465 + }, + { + "epoch": 0.68, + "learning_rate": 5.481316697822538e-05, + "loss": 1.2052, + "step": 5470 + }, + { + "epoch": 0.68, + "learning_rate": 5.461846280042261e-05, + "loss": 1.2013, + "step": 5475 + }, + { + "epoch": 0.69, + "learning_rate": 5.442397504325307e-05, + "loss": 1.2624, + "step": 5480 + }, + { + "epoch": 0.69, + "learning_rate": 5.422970463421204e-05, + "loss": 1.2076, + "step": 5485 + }, + { + "epoch": 0.69, + "learning_rate": 5.403565249975848e-05, + "loss": 1.2712, + "step": 5490 + }, + { + "epoch": 0.69, + "learning_rate": 5.3841819565310116e-05, + "loss": 1.2209, + "step": 5495 + }, + { + "epoch": 0.69, + "learning_rate": 5.3648206755239494e-05, + "loss": 1.2387, + "step": 5500 + }, + { + "epoch": 0.69, + "learning_rate": 5.345481499286948e-05, + "loss": 1.1784, + "step": 5505 + }, + { + "epoch": 0.69, + "learning_rate": 5.326164520046864e-05, + "loss": 1.241, + "step": 5510 + }, + { + "epoch": 0.69, + "learning_rate": 5.306869829924705e-05, + "loss": 1.2578, + "step": 5515 + }, + { + "epoch": 0.69, + "learning_rate": 5.28759752093518e-05, + "loss": 1.2305, + "step": 5520 + }, + { + "epoch": 0.69, + "learning_rate": 5.26834768498627e-05, + "loss": 1.1786, + "step": 5525 + }, + { + "epoch": 0.69, + "learning_rate": 5.2491204138787745e-05, + "loss": 1.2353, + "step": 5530 + }, + { + "epoch": 0.69, + "learning_rate": 5.2299157993058986e-05, + "loss": 1.2378, + "step": 5535 + }, + { + "epoch": 0.69, + "learning_rate": 5.210733932852792e-05, + "loss": 1.1858, + "step": 5540 + }, + { + "epoch": 0.69, + "learning_rate": 5.191574905996106e-05, + "loss": 1.2209, + "step": 5545 + }, + { + "epoch": 0.69, + "learning_rate": 5.172438810103599e-05, + "loss": 1.1974, + "step": 5550 + }, + { + "epoch": 0.69, + "learning_rate": 5.153325736433657e-05, + "loss": 1.2649, + "step": 5555 + }, + { + "epoch": 0.7, + "learning_rate": 5.134235776134878e-05, + "loss": 1.2664, + "step": 5560 + }, + { + "epoch": 0.7, + "learning_rate": 5.115169020245629e-05, + "loss": 1.2476, + "step": 5565 + }, + { + "epoch": 0.7, + "learning_rate": 5.0961255596936366e-05, + "loss": 1.2234, + "step": 5570 + }, + { + "epoch": 0.7, + "learning_rate": 5.0771054852955036e-05, + "loss": 1.2379, + "step": 5575 + }, + { + "epoch": 0.7, + "learning_rate": 5.058108887756335e-05, + "loss": 1.2377, + "step": 5580 + }, + { + "epoch": 0.7, + "learning_rate": 5.039135857669265e-05, + "loss": 1.2931, + "step": 5585 + }, + { + "epoch": 0.7, + "learning_rate": 5.020186485515024e-05, + "loss": 1.2326, + "step": 5590 + }, + { + "epoch": 0.7, + "learning_rate": 5.001260861661542e-05, + "loss": 1.195, + "step": 5595 + }, + { + "epoch": 0.7, + "learning_rate": 4.982359076363483e-05, + "loss": 1.1842, + "step": 5600 + }, + { + "epoch": 0.7, + "learning_rate": 4.963481219761831e-05, + "loss": 1.1949, + "step": 5605 + }, + { + "epoch": 0.7, + "learning_rate": 4.9446273818834476e-05, + "loss": 1.1958, + "step": 5610 + }, + { + "epoch": 0.7, + "learning_rate": 4.9257976526406714e-05, + "loss": 1.2433, + "step": 5615 + }, + { + "epoch": 0.7, + "learning_rate": 4.9069921218308404e-05, + "loss": 1.201, + "step": 5620 + }, + { + "epoch": 0.7, + "learning_rate": 4.888210879135917e-05, + "loss": 1.1987, + "step": 5625 + }, + { + "epoch": 0.7, + "learning_rate": 4.869454014122025e-05, + "loss": 1.266, + "step": 5630 + }, + { + "epoch": 0.7, + "learning_rate": 4.850721616239034e-05, + "loss": 1.2765, + "step": 5635 + }, + { + "epoch": 0.71, + "learning_rate": 4.83201377482013e-05, + "loss": 1.234, + "step": 5640 + }, + { + "epoch": 0.71, + "learning_rate": 4.8133305790813964e-05, + "loss": 1.2165, + "step": 5645 + }, + { + "epoch": 0.71, + "learning_rate": 4.7946721181213806e-05, + "loss": 1.1788, + "step": 5650 + }, + { + "epoch": 0.71, + "learning_rate": 4.776038480920667e-05, + "loss": 1.2054, + "step": 5655 + }, + { + "epoch": 0.71, + "learning_rate": 4.757429756341475e-05, + "loss": 1.2462, + "step": 5660 + }, + { + "epoch": 0.71, + "learning_rate": 4.73884603312719e-05, + "loss": 1.2817, + "step": 5665 + }, + { + "epoch": 0.71, + "learning_rate": 4.720287399901996e-05, + "loss": 1.1914, + "step": 5670 + }, + { + "epoch": 0.71, + "learning_rate": 4.701753945170407e-05, + "loss": 1.2526, + "step": 5675 + }, + { + "epoch": 0.71, + "learning_rate": 4.683245757316872e-05, + "loss": 1.2235, + "step": 5680 + }, + { + "epoch": 0.71, + "learning_rate": 4.664762924605339e-05, + "loss": 1.2289, + "step": 5685 + }, + { + "epoch": 0.71, + "learning_rate": 4.646305535178841e-05, + "loss": 1.2411, + "step": 5690 + }, + { + "epoch": 0.71, + "learning_rate": 4.627873677059076e-05, + "loss": 1.2382, + "step": 5695 + }, + { + "epoch": 0.71, + "learning_rate": 4.6094674381459804e-05, + "loss": 1.2224, + "step": 5700 + }, + { + "epoch": 0.71, + "learning_rate": 4.591086906217326e-05, + "loss": 1.2199, + "step": 5705 + }, + { + "epoch": 0.71, + "learning_rate": 4.5727321689282774e-05, + "loss": 1.2055, + "step": 5710 + }, + { + "epoch": 0.71, + "learning_rate": 4.5544033138109955e-05, + "loss": 1.1955, + "step": 5715 + }, + { + "epoch": 0.72, + "learning_rate": 4.536100428274205e-05, + "loss": 1.3198, + "step": 5720 + }, + { + "epoch": 0.72, + "learning_rate": 4.517823599602788e-05, + "loss": 1.2095, + "step": 5725 + }, + { + "epoch": 0.72, + "learning_rate": 4.499572914957364e-05, + "loss": 1.2287, + "step": 5730 + }, + { + "epoch": 0.72, + "learning_rate": 4.481348461373868e-05, + "loss": 1.2672, + "step": 5735 + }, + { + "epoch": 0.72, + "learning_rate": 4.463150325763156e-05, + "loss": 1.2442, + "step": 5740 + }, + { + "epoch": 0.72, + "learning_rate": 4.4449785949105515e-05, + "loss": 1.249, + "step": 5745 + }, + { + "epoch": 0.72, + "learning_rate": 4.426833355475482e-05, + "loss": 1.175, + "step": 5750 + }, + { + "epoch": 0.72, + "learning_rate": 4.408714693991023e-05, + "loss": 1.2178, + "step": 5755 + }, + { + "epoch": 0.72, + "learning_rate": 4.390622696863509e-05, + "loss": 1.2485, + "step": 5760 + }, + { + "epoch": 0.72, + "learning_rate": 4.37255745037211e-05, + "loss": 1.2375, + "step": 5765 + }, + { + "epoch": 0.72, + "learning_rate": 4.354519040668428e-05, + "loss": 1.2551, + "step": 5770 + }, + { + "epoch": 0.72, + "learning_rate": 4.336507553776082e-05, + "loss": 1.1726, + "step": 5775 + }, + { + "epoch": 0.72, + "learning_rate": 4.318523075590295e-05, + "loss": 1.1907, + "step": 5780 + }, + { + "epoch": 0.72, + "learning_rate": 4.3005656918775005e-05, + "loss": 1.2666, + "step": 5785 + }, + { + "epoch": 0.72, + "learning_rate": 4.2826354882748974e-05, + "loss": 1.2873, + "step": 5790 + }, + { + "epoch": 0.72, + "learning_rate": 4.264732550290089e-05, + "loss": 1.1883, + "step": 5795 + }, + { + "epoch": 0.73, + "learning_rate": 4.2468569633006394e-05, + "loss": 1.3305, + "step": 5800 + }, + { + "epoch": 0.73, + "learning_rate": 4.229008812553678e-05, + "loss": 1.2694, + "step": 5805 + }, + { + "epoch": 0.73, + "learning_rate": 4.211188183165494e-05, + "loss": 1.1939, + "step": 5810 + }, + { + "epoch": 0.73, + "learning_rate": 4.193395160121133e-05, + "loss": 1.2648, + "step": 5815 + }, + { + "epoch": 0.73, + "learning_rate": 4.175629828273985e-05, + "loss": 1.2239, + "step": 5820 + }, + { + "epoch": 0.73, + "learning_rate": 4.15789227234538e-05, + "loss": 1.1807, + "step": 5825 + }, + { + "epoch": 0.73, + "learning_rate": 4.1401825769242006e-05, + "loss": 1.2455, + "step": 5830 + }, + { + "epoch": 0.73, + "learning_rate": 4.122500826466443e-05, + "loss": 1.2771, + "step": 5835 + }, + { + "epoch": 0.73, + "learning_rate": 4.10484710529486e-05, + "loss": 1.3095, + "step": 5840 + }, + { + "epoch": 0.73, + "learning_rate": 4.087221497598518e-05, + "loss": 1.2266, + "step": 5845 + }, + { + "epoch": 0.73, + "learning_rate": 4.06962408743242e-05, + "loss": 1.2451, + "step": 5850 + }, + { + "epoch": 0.73, + "learning_rate": 4.052054958717095e-05, + "loss": 1.2398, + "step": 5855 + }, + { + "epoch": 0.73, + "learning_rate": 4.0345141952382026e-05, + "loss": 1.1949, + "step": 5860 + }, + { + "epoch": 0.73, + "learning_rate": 4.017001880646129e-05, + "loss": 1.2503, + "step": 5865 + }, + { + "epoch": 0.73, + "learning_rate": 3.999518098455586e-05, + "loss": 1.2361, + "step": 5870 + }, + { + "epoch": 0.73, + "learning_rate": 3.98206293204523e-05, + "loss": 1.2436, + "step": 5875 + }, + { + "epoch": 0.74, + "learning_rate": 3.964636464657238e-05, + "loss": 1.1848, + "step": 5880 + }, + { + "epoch": 0.74, + "learning_rate": 3.947238779396929e-05, + "loss": 1.2107, + "step": 5885 + }, + { + "epoch": 0.74, + "learning_rate": 3.929869959232363e-05, + "loss": 1.1979, + "step": 5890 + }, + { + "epoch": 0.74, + "learning_rate": 3.912530086993944e-05, + "loss": 1.2726, + "step": 5895 + }, + { + "epoch": 0.74, + "learning_rate": 3.895219245374024e-05, + "loss": 1.2462, + "step": 5900 + }, + { + "epoch": 0.74, + "learning_rate": 3.877937516926511e-05, + "loss": 1.2945, + "step": 5905 + }, + { + "epoch": 0.74, + "learning_rate": 3.860684984066485e-05, + "loss": 1.2304, + "step": 5910 + }, + { + "epoch": 0.74, + "learning_rate": 3.843461729069773e-05, + "loss": 1.1819, + "step": 5915 + }, + { + "epoch": 0.74, + "learning_rate": 3.8262678340726e-05, + "loss": 1.2471, + "step": 5920 + }, + { + "epoch": 0.74, + "learning_rate": 3.8091033810711655e-05, + "loss": 1.2409, + "step": 5925 + }, + { + "epoch": 0.74, + "learning_rate": 3.791968451921263e-05, + "loss": 1.265, + "step": 5930 + }, + { + "epoch": 0.74, + "learning_rate": 3.774863128337887e-05, + "loss": 1.1473, + "step": 5935 + }, + { + "epoch": 0.74, + "learning_rate": 3.7577874918948586e-05, + "loss": 1.2493, + "step": 5940 + }, + { + "epoch": 0.74, + "learning_rate": 3.740741624024405e-05, + "loss": 1.2343, + "step": 5945 + }, + { + "epoch": 0.74, + "learning_rate": 3.723725606016799e-05, + "loss": 1.2109, + "step": 5950 + }, + { + "epoch": 0.74, + "learning_rate": 3.706739519019969e-05, + "loss": 1.1899, + "step": 5955 + }, + { + "epoch": 0.75, + "learning_rate": 3.689783444039088e-05, + "loss": 1.2098, + "step": 5960 + }, + { + "epoch": 0.75, + "learning_rate": 3.67285746193622e-05, + "loss": 1.1938, + "step": 5965 + }, + { + "epoch": 0.75, + "learning_rate": 3.655961653429911e-05, + "loss": 1.2459, + "step": 5970 + }, + { + "epoch": 0.75, + "learning_rate": 3.639096099094813e-05, + "loss": 1.1726, + "step": 5975 + }, + { + "epoch": 0.75, + "learning_rate": 3.6222608793612954e-05, + "loss": 1.2611, + "step": 5980 + }, + { + "epoch": 0.75, + "learning_rate": 3.605456074515078e-05, + "loss": 1.2847, + "step": 5985 + }, + { + "epoch": 0.75, + "learning_rate": 3.5886817646968105e-05, + "loss": 1.2001, + "step": 5990 + }, + { + "epoch": 0.75, + "learning_rate": 3.571938029901739e-05, + "loss": 1.2373, + "step": 5995 + }, + { + "epoch": 0.75, + "learning_rate": 3.555224949979288e-05, + "loss": 1.2169, + "step": 6000 + }, + { + "epoch": 0.75, + "learning_rate": 3.538542604632684e-05, + "loss": 1.2389, + "step": 6005 + }, + { + "epoch": 0.75, + "learning_rate": 3.521891073418602e-05, + "loss": 1.2217, + "step": 6010 + }, + { + "epoch": 0.75, + "learning_rate": 3.505270435746752e-05, + "loss": 1.2399, + "step": 6015 + }, + { + "epoch": 0.75, + "learning_rate": 3.488680770879523e-05, + "loss": 1.275, + "step": 6020 + }, + { + "epoch": 0.75, + "learning_rate": 3.4721221579315885e-05, + "loss": 1.2671, + "step": 6025 + }, + { + "epoch": 0.75, + "learning_rate": 3.4555946758695554e-05, + "loss": 1.2226, + "step": 6030 + }, + { + "epoch": 0.75, + "learning_rate": 3.439098403511546e-05, + "loss": 1.1972, + "step": 6035 + }, + { + "epoch": 0.76, + "learning_rate": 3.422633419526868e-05, + "loss": 1.2337, + "step": 6040 + }, + { + "epoch": 0.76, + "learning_rate": 3.4061998024356054e-05, + "loss": 1.2255, + "step": 6045 + }, + { + "epoch": 0.76, + "learning_rate": 3.3897976306082614e-05, + "loss": 1.2221, + "step": 6050 + }, + { + "epoch": 0.76, + "learning_rate": 3.3734269822653755e-05, + "loss": 1.1575, + "step": 6055 + }, + { + "epoch": 0.76, + "learning_rate": 3.3570879354771554e-05, + "loss": 1.1745, + "step": 6060 + }, + { + "epoch": 0.76, + "learning_rate": 3.340780568163108e-05, + "loss": 1.2404, + "step": 6065 + }, + { + "epoch": 0.76, + "learning_rate": 3.3245049580916546e-05, + "loss": 1.2305, + "step": 6070 + }, + { + "epoch": 0.76, + "learning_rate": 3.3082611828797816e-05, + "loss": 1.2651, + "step": 6075 + }, + { + "epoch": 0.76, + "learning_rate": 3.292049319992647e-05, + "loss": 1.2278, + "step": 6080 + }, + { + "epoch": 0.76, + "learning_rate": 3.275869446743227e-05, + "loss": 1.2184, + "step": 6085 + }, + { + "epoch": 0.76, + "learning_rate": 3.259721640291938e-05, + "loss": 1.1887, + "step": 6090 + }, + { + "epoch": 0.76, + "learning_rate": 3.243605977646278e-05, + "loss": 1.2237, + "step": 6095 + }, + { + "epoch": 0.76, + "learning_rate": 3.227522535660449e-05, + "loss": 1.2071, + "step": 6100 + }, + { + "epoch": 0.76, + "learning_rate": 3.211471391034992e-05, + "loss": 1.2189, + "step": 6105 + }, + { + "epoch": 0.76, + "learning_rate": 3.195452620316445e-05, + "loss": 1.231, + "step": 6110 + }, + { + "epoch": 0.76, + "learning_rate": 3.179466299896926e-05, + "loss": 1.2322, + "step": 6115 + }, + { + "epoch": 0.77, + "learning_rate": 3.163512506013827e-05, + "loss": 1.1895, + "step": 6120 + }, + { + "epoch": 0.77, + "learning_rate": 3.1475913147494115e-05, + "loss": 1.2462, + "step": 6125 + }, + { + "epoch": 0.77, + "learning_rate": 3.131702802030466e-05, + "loss": 1.2451, + "step": 6130 + }, + { + "epoch": 0.77, + "learning_rate": 3.1158470436279364e-05, + "loss": 1.2167, + "step": 6135 + }, + { + "epoch": 0.77, + "learning_rate": 3.1000241151565643e-05, + "loss": 1.2649, + "step": 6140 + }, + { + "epoch": 0.77, + "learning_rate": 3.0842340920745316e-05, + "loss": 1.2931, + "step": 6145 + }, + { + "epoch": 0.77, + "learning_rate": 3.068477049683091e-05, + "loss": 1.2572, + "step": 6150 + }, + { + "epoch": 0.77, + "learning_rate": 3.052753063126227e-05, + "loss": 1.2199, + "step": 6155 + }, + { + "epoch": 0.77, + "learning_rate": 3.03706220739026e-05, + "loss": 1.2612, + "step": 6160 + }, + { + "epoch": 0.77, + "learning_rate": 3.021404557303539e-05, + "loss": 1.2165, + "step": 6165 + }, + { + "epoch": 0.77, + "learning_rate": 3.0057801875360404e-05, + "loss": 1.2521, + "step": 6170 + }, + { + "epoch": 0.77, + "learning_rate": 2.990189172599035e-05, + "loss": 1.1771, + "step": 6175 + }, + { + "epoch": 0.77, + "learning_rate": 2.9746315868447273e-05, + "loss": 1.212, + "step": 6180 + }, + { + "epoch": 0.77, + "learning_rate": 2.9591075044659e-05, + "loss": 1.2577, + "step": 6185 + }, + { + "epoch": 0.77, + "learning_rate": 2.9436169994955643e-05, + "loss": 1.2378, + "step": 6190 + }, + { + "epoch": 0.78, + "learning_rate": 2.9281601458065945e-05, + "loss": 1.1987, + "step": 6195 + }, + { + "epoch": 0.78, + "learning_rate": 2.912737017111403e-05, + "loss": 1.2142, + "step": 6200 + }, + { + "epoch": 0.78, + "learning_rate": 2.8973476869615466e-05, + "loss": 1.2517, + "step": 6205 + }, + { + "epoch": 0.78, + "learning_rate": 2.8819922287474222e-05, + "loss": 1.1987, + "step": 6210 + }, + { + "epoch": 0.78, + "learning_rate": 2.866670715697879e-05, + "loss": 1.2858, + "step": 6215 + }, + { + "epoch": 0.78, + "learning_rate": 2.851383220879892e-05, + "loss": 1.2256, + "step": 6220 + }, + { + "epoch": 0.78, + "learning_rate": 2.836129817198203e-05, + "loss": 1.2316, + "step": 6225 + }, + { + "epoch": 0.78, + "learning_rate": 2.8209105773949783e-05, + "loss": 1.2449, + "step": 6230 + }, + { + "epoch": 0.78, + "learning_rate": 2.8057255740494593e-05, + "loss": 1.2279, + "step": 6235 + }, + { + "epoch": 0.78, + "learning_rate": 2.790574879577612e-05, + "loss": 1.2536, + "step": 6240 + }, + { + "epoch": 0.78, + "learning_rate": 2.7754585662317968e-05, + "loss": 1.1736, + "step": 6245 + }, + { + "epoch": 0.78, + "learning_rate": 2.7603767061004026e-05, + "loss": 1.2252, + "step": 6250 + }, + { + "epoch": 0.78, + "learning_rate": 2.7453293711075212e-05, + "loss": 1.2421, + "step": 6255 + }, + { + "epoch": 0.78, + "learning_rate": 2.7303166330125918e-05, + "loss": 1.2152, + "step": 6260 + }, + { + "epoch": 0.78, + "learning_rate": 2.715338563410068e-05, + "loss": 1.2339, + "step": 6265 + }, + { + "epoch": 0.78, + "learning_rate": 2.7003952337290694e-05, + "loss": 1.2379, + "step": 6270 + }, + { + "epoch": 0.79, + "learning_rate": 2.685486715233043e-05, + "loss": 1.2184, + "step": 6275 + }, + { + "epoch": 0.79, + "learning_rate": 2.670613079019436e-05, + "loss": 1.2403, + "step": 6280 + }, + { + "epoch": 0.79, + "learning_rate": 2.6557743960193214e-05, + "loss": 1.2331, + "step": 6285 + }, + { + "epoch": 0.79, + "learning_rate": 2.6409707369971094e-05, + "loss": 1.2242, + "step": 6290 + }, + { + "epoch": 0.79, + "learning_rate": 2.6262021725501674e-05, + "loss": 1.1681, + "step": 6295 + }, + { + "epoch": 0.79, + "learning_rate": 2.611468773108503e-05, + "loss": 1.2578, + "step": 6300 + }, + { + "epoch": 0.79, + "learning_rate": 2.5967706089344258e-05, + "loss": 1.239, + "step": 6305 + }, + { + "epoch": 0.79, + "learning_rate": 2.582107750122219e-05, + "loss": 1.2168, + "step": 6310 + }, + { + "epoch": 0.79, + "learning_rate": 2.5674802665977814e-05, + "loss": 1.2664, + "step": 6315 + }, + { + "epoch": 0.79, + "learning_rate": 2.5528882281183208e-05, + "loss": 1.1996, + "step": 6320 + }, + { + "epoch": 0.79, + "learning_rate": 2.5383317042720166e-05, + "loss": 1.1681, + "step": 6325 + }, + { + "epoch": 0.79, + "learning_rate": 2.5238107644776642e-05, + "loss": 1.1917, + "step": 6330 + }, + { + "epoch": 0.79, + "learning_rate": 2.509325477984379e-05, + "loss": 1.2144, + "step": 6335 + }, + { + "epoch": 0.79, + "learning_rate": 2.4948759138712384e-05, + "loss": 1.2315, + "step": 6340 + }, + { + "epoch": 0.79, + "learning_rate": 2.4804621410469687e-05, + "loss": 1.2261, + "step": 6345 + }, + { + "epoch": 0.79, + "learning_rate": 2.4660842282496033e-05, + "loss": 1.1728, + "step": 6350 + }, + { + "epoch": 0.8, + "learning_rate": 2.4517422440461758e-05, + "loss": 1.1741, + "step": 6355 + }, + { + "epoch": 0.8, + "learning_rate": 2.4374362568323638e-05, + "loss": 1.1539, + "step": 6360 + }, + { + "epoch": 0.8, + "learning_rate": 2.423166334832183e-05, + "loss": 1.1881, + "step": 6365 + }, + { + "epoch": 0.8, + "learning_rate": 2.4089325460976707e-05, + "loss": 1.1905, + "step": 6370 + }, + { + "epoch": 0.8, + "learning_rate": 2.394734958508523e-05, + "loss": 1.1682, + "step": 6375 + }, + { + "epoch": 0.8, + "learning_rate": 2.380573639771819e-05, + "loss": 1.2683, + "step": 6380 + }, + { + "epoch": 0.8, + "learning_rate": 2.3664486574216627e-05, + "loss": 1.2757, + "step": 6385 + }, + { + "epoch": 0.8, + "learning_rate": 2.3523600788188748e-05, + "loss": 1.169, + "step": 6390 + }, + { + "epoch": 0.8, + "learning_rate": 2.3383079711506682e-05, + "loss": 1.2452, + "step": 6395 + }, + { + "epoch": 0.8, + "learning_rate": 2.324292401430339e-05, + "loss": 1.1997, + "step": 6400 + }, + { + "epoch": 0.8, + "learning_rate": 2.3103134364969213e-05, + "loss": 1.2237, + "step": 6405 + }, + { + "epoch": 0.8, + "learning_rate": 2.2963711430148926e-05, + "loss": 1.1717, + "step": 6410 + }, + { + "epoch": 0.8, + "learning_rate": 2.282465587473852e-05, + "loss": 1.2149, + "step": 6415 + }, + { + "epoch": 0.8, + "learning_rate": 2.2685968361881903e-05, + "loss": 1.2932, + "step": 6420 + }, + { + "epoch": 0.8, + "learning_rate": 2.2547649552967863e-05, + "loss": 1.157, + "step": 6425 + }, + { + "epoch": 0.8, + "learning_rate": 2.2409700107626842e-05, + "loss": 1.2471, + "step": 6430 + }, + { + "epoch": 0.81, + "learning_rate": 2.227212068372785e-05, + "loss": 1.295, + "step": 6435 + }, + { + "epoch": 0.81, + "learning_rate": 2.2134911937375246e-05, + "loss": 1.2177, + "step": 6440 + }, + { + "epoch": 0.81, + "learning_rate": 2.1998074522905765e-05, + "loss": 1.219, + "step": 6445 + }, + { + "epoch": 0.81, + "learning_rate": 2.1861609092885205e-05, + "loss": 1.3656, + "step": 6450 + }, + { + "epoch": 0.81, + "learning_rate": 2.1725516298105352e-05, + "loss": 1.2052, + "step": 6455 + }, + { + "epoch": 0.81, + "learning_rate": 2.1589796787581074e-05, + "loss": 1.2334, + "step": 6460 + }, + { + "epoch": 0.81, + "learning_rate": 2.1454451208546978e-05, + "loss": 1.2087, + "step": 6465 + }, + { + "epoch": 0.81, + "learning_rate": 2.1319480206454435e-05, + "loss": 1.2806, + "step": 6470 + }, + { + "epoch": 0.81, + "learning_rate": 2.118488442496851e-05, + "loss": 1.223, + "step": 6475 + }, + { + "epoch": 0.81, + "learning_rate": 2.1050664505964868e-05, + "loss": 1.2361, + "step": 6480 + }, + { + "epoch": 0.81, + "learning_rate": 2.0916821089526683e-05, + "loss": 1.1873, + "step": 6485 + }, + { + "epoch": 0.81, + "learning_rate": 2.0783354813941714e-05, + "loss": 1.2525, + "step": 6490 + }, + { + "epoch": 0.81, + "learning_rate": 2.0650266315699074e-05, + "loss": 1.1974, + "step": 6495 + }, + { + "epoch": 0.81, + "learning_rate": 2.0517556229486322e-05, + "loss": 1.2938, + "step": 6500 + }, + { + "epoch": 0.81, + "learning_rate": 2.038522518818641e-05, + "loss": 1.2446, + "step": 6505 + }, + { + "epoch": 0.81, + "learning_rate": 2.025327382287464e-05, + "loss": 1.2366, + "step": 6510 + }, + { + "epoch": 0.82, + "learning_rate": 2.0121702762815697e-05, + "loss": 1.183, + "step": 6515 + }, + { + "epoch": 0.82, + "learning_rate": 1.9990512635460567e-05, + "loss": 1.2404, + "step": 6520 + }, + { + "epoch": 0.82, + "learning_rate": 1.985970406644373e-05, + "loss": 1.176, + "step": 6525 + }, + { + "epoch": 0.82, + "learning_rate": 1.9729277679579837e-05, + "loss": 1.2065, + "step": 6530 + }, + { + "epoch": 0.82, + "learning_rate": 1.9599234096861175e-05, + "loss": 1.2067, + "step": 6535 + }, + { + "epoch": 0.82, + "learning_rate": 1.946957393845432e-05, + "loss": 1.276, + "step": 6540 + }, + { + "epoch": 0.82, + "learning_rate": 1.9340297822697372e-05, + "loss": 1.2085, + "step": 6545 + }, + { + "epoch": 0.82, + "learning_rate": 1.9211406366096974e-05, + "loss": 1.244, + "step": 6550 + }, + { + "epoch": 0.82, + "learning_rate": 1.908290018332536e-05, + "loss": 1.2415, + "step": 6555 + }, + { + "epoch": 0.82, + "learning_rate": 1.89547798872174e-05, + "loss": 1.2359, + "step": 6560 + }, + { + "epoch": 0.82, + "learning_rate": 1.8827046088767732e-05, + "loss": 1.2542, + "step": 6565 + }, + { + "epoch": 0.82, + "learning_rate": 1.8699699397127857e-05, + "loss": 1.2644, + "step": 6570 + }, + { + "epoch": 0.82, + "learning_rate": 1.8572740419603085e-05, + "loss": 1.1877, + "step": 6575 + }, + { + "epoch": 0.82, + "learning_rate": 1.8446169761649866e-05, + "loss": 1.2479, + "step": 6580 + }, + { + "epoch": 0.82, + "learning_rate": 1.831998802687275e-05, + "loss": 1.2276, + "step": 6585 + }, + { + "epoch": 0.82, + "learning_rate": 1.81941958170215e-05, + "loss": 1.223, + "step": 6590 + }, + { + "epoch": 0.83, + "learning_rate": 1.8068793731988332e-05, + "loss": 1.2541, + "step": 6595 + }, + { + "epoch": 0.83, + "learning_rate": 1.7943782369804952e-05, + "loss": 1.2549, + "step": 6600 + }, + { + "epoch": 0.83, + "learning_rate": 1.781916232663975e-05, + "loss": 1.2333, + "step": 6605 + }, + { + "epoch": 0.83, + "learning_rate": 1.7694934196794944e-05, + "loss": 1.2914, + "step": 6610 + }, + { + "epoch": 0.83, + "learning_rate": 1.7571098572703804e-05, + "loss": 1.2144, + "step": 6615 + }, + { + "epoch": 0.83, + "learning_rate": 1.7447656044927697e-05, + "loss": 1.2248, + "step": 6620 + }, + { + "epoch": 0.83, + "learning_rate": 1.7324607202153397e-05, + "loss": 1.2142, + "step": 6625 + }, + { + "epoch": 0.83, + "learning_rate": 1.72019526311902e-05, + "loss": 1.2317, + "step": 6630 + }, + { + "epoch": 0.83, + "learning_rate": 1.7079692916967172e-05, + "loss": 1.2049, + "step": 6635 + }, + { + "epoch": 0.83, + "learning_rate": 1.695782864253034e-05, + "loss": 1.1773, + "step": 6640 + }, + { + "epoch": 0.83, + "learning_rate": 1.6836360389039906e-05, + "loss": 1.1928, + "step": 6645 + }, + { + "epoch": 0.83, + "learning_rate": 1.6715288735767475e-05, + "loss": 1.1881, + "step": 6650 + }, + { + "epoch": 0.83, + "learning_rate": 1.6594614260093288e-05, + "loss": 1.1763, + "step": 6655 + }, + { + "epoch": 0.83, + "learning_rate": 1.647433753750357e-05, + "loss": 1.2282, + "step": 6660 + }, + { + "epoch": 0.83, + "learning_rate": 1.6354459141587576e-05, + "loss": 1.2112, + "step": 6665 + }, + { + "epoch": 0.83, + "learning_rate": 1.6234979644035053e-05, + "loss": 1.2554, + "step": 6670 + }, + { + "epoch": 0.84, + "learning_rate": 1.6115899614633388e-05, + "loss": 1.2243, + "step": 6675 + }, + { + "epoch": 0.84, + "learning_rate": 1.599721962126497e-05, + "loss": 1.247, + "step": 6680 + }, + { + "epoch": 0.84, + "learning_rate": 1.5878940229904448e-05, + "loss": 1.2524, + "step": 6685 + }, + { + "epoch": 0.84, + "learning_rate": 1.5761062004616e-05, + "loss": 1.2116, + "step": 6690 + }, + { + "epoch": 0.84, + "learning_rate": 1.5643585507550785e-05, + "loss": 1.205, + "step": 6695 + }, + { + "epoch": 0.84, + "learning_rate": 1.552651129894397e-05, + "loss": 1.2597, + "step": 6700 + }, + { + "epoch": 0.84, + "learning_rate": 1.5409839937112414e-05, + "loss": 1.2377, + "step": 6705 + }, + { + "epoch": 0.84, + "learning_rate": 1.5293571978451772e-05, + "loss": 1.2583, + "step": 6710 + }, + { + "epoch": 0.84, + "learning_rate": 1.5177707977433876e-05, + "loss": 1.2339, + "step": 6715 + }, + { + "epoch": 0.84, + "learning_rate": 1.5062248486604125e-05, + "loss": 1.238, + "step": 6720 + }, + { + "epoch": 0.84, + "learning_rate": 1.494719405657895e-05, + "loss": 1.136, + "step": 6725 + }, + { + "epoch": 0.84, + "learning_rate": 1.4832545236042916e-05, + "loss": 1.2502, + "step": 6730 + }, + { + "epoch": 0.84, + "learning_rate": 1.4718302571746345e-05, + "loss": 1.213, + "step": 6735 + }, + { + "epoch": 0.84, + "learning_rate": 1.4604466608502709e-05, + "loss": 1.2483, + "step": 6740 + }, + { + "epoch": 0.84, + "learning_rate": 1.4491037889185822e-05, + "loss": 1.2053, + "step": 6745 + }, + { + "epoch": 0.84, + "learning_rate": 1.4378016954727492e-05, + "loss": 1.1983, + "step": 6750 + }, + { + "epoch": 0.85, + "learning_rate": 1.4265404344114785e-05, + "loss": 1.217, + "step": 6755 + }, + { + "epoch": 0.85, + "learning_rate": 1.4153200594387527e-05, + "loss": 1.2548, + "step": 6760 + }, + { + "epoch": 0.85, + "learning_rate": 1.4041406240635691e-05, + "loss": 1.2645, + "step": 6765 + }, + { + "epoch": 0.85, + "learning_rate": 1.3930021815996963e-05, + "loss": 1.2537, + "step": 6770 + }, + { + "epoch": 0.85, + "learning_rate": 1.3819047851653988e-05, + "loss": 1.2306, + "step": 6775 + }, + { + "epoch": 0.85, + "learning_rate": 1.3708484876832006e-05, + "loss": 1.2329, + "step": 6780 + }, + { + "epoch": 0.85, + "learning_rate": 1.3598333418796349e-05, + "loss": 1.2378, + "step": 6785 + }, + { + "epoch": 0.85, + "learning_rate": 1.3488594002849809e-05, + "loss": 1.2038, + "step": 6790 + }, + { + "epoch": 0.85, + "learning_rate": 1.3379267152330165e-05, + "loss": 1.2732, + "step": 6795 + }, + { + "epoch": 0.85, + "learning_rate": 1.3270353388607726e-05, + "loss": 1.1857, + "step": 6800 + }, + { + "epoch": 0.85, + "learning_rate": 1.3161853231082855e-05, + "loss": 1.2093, + "step": 6805 + }, + { + "epoch": 0.85, + "learning_rate": 1.3053767197183387e-05, + "loss": 1.2439, + "step": 6810 + }, + { + "epoch": 0.85, + "learning_rate": 1.2946095802362369e-05, + "loss": 1.2162, + "step": 6815 + }, + { + "epoch": 0.85, + "learning_rate": 1.2838839560095317e-05, + "loss": 1.1833, + "step": 6820 + }, + { + "epoch": 0.85, + "learning_rate": 1.2731998981877991e-05, + "loss": 1.28, + "step": 6825 + }, + { + "epoch": 0.85, + "learning_rate": 1.2625574577223931e-05, + "loss": 1.1957, + "step": 6830 + }, + { + "epoch": 0.86, + "learning_rate": 1.2519566853661913e-05, + "loss": 1.2774, + "step": 6835 + }, + { + "epoch": 0.86, + "learning_rate": 1.2413976316733611e-05, + "loss": 1.1973, + "step": 6840 + }, + { + "epoch": 0.86, + "learning_rate": 1.2308803469991192e-05, + "loss": 1.2473, + "step": 6845 + }, + { + "epoch": 0.86, + "learning_rate": 1.2204048814994883e-05, + "loss": 1.2438, + "step": 6850 + }, + { + "epoch": 0.86, + "learning_rate": 1.2099712851310563e-05, + "loss": 1.2745, + "step": 6855 + }, + { + "epoch": 0.86, + "learning_rate": 1.1995796076507482e-05, + "loss": 1.2045, + "step": 6860 + }, + { + "epoch": 0.86, + "learning_rate": 1.1892298986155758e-05, + "loss": 1.2446, + "step": 6865 + }, + { + "epoch": 0.86, + "learning_rate": 1.1789222073824035e-05, + "loss": 1.1972, + "step": 6870 + }, + { + "epoch": 0.86, + "learning_rate": 1.1686565831077256e-05, + "loss": 1.1953, + "step": 6875 + }, + { + "epoch": 0.86, + "learning_rate": 1.158433074747417e-05, + "loss": 1.2117, + "step": 6880 + }, + { + "epoch": 0.86, + "learning_rate": 1.1482517310565066e-05, + "loss": 1.2374, + "step": 6885 + }, + { + "epoch": 0.86, + "learning_rate": 1.1381126005889408e-05, + "loss": 1.1644, + "step": 6890 + }, + { + "epoch": 0.86, + "learning_rate": 1.1280157316973639e-05, + "loss": 1.2214, + "step": 6895 + }, + { + "epoch": 0.86, + "learning_rate": 1.1179611725328632e-05, + "loss": 1.1822, + "step": 6900 + }, + { + "epoch": 0.86, + "learning_rate": 1.10794897104477e-05, + "loss": 1.2511, + "step": 6905 + }, + { + "epoch": 0.86, + "learning_rate": 1.0979791749804102e-05, + "loss": 1.2504, + "step": 6910 + }, + { + "epoch": 0.87, + "learning_rate": 1.088051831884872e-05, + "loss": 1.1955, + "step": 6915 + }, + { + "epoch": 0.87, + "learning_rate": 1.0781669891008061e-05, + "loss": 1.2156, + "step": 6920 + }, + { + "epoch": 0.87, + "learning_rate": 1.06832469376817e-05, + "loss": 1.2507, + "step": 6925 + }, + { + "epoch": 0.87, + "learning_rate": 1.0585249928240226e-05, + "loss": 1.2264, + "step": 6930 + }, + { + "epoch": 0.87, + "learning_rate": 1.0487679330022893e-05, + "loss": 1.2213, + "step": 6935 + }, + { + "epoch": 0.87, + "learning_rate": 1.0390535608335506e-05, + "loss": 1.163, + "step": 6940 + }, + { + "epoch": 0.87, + "learning_rate": 1.0293819226448031e-05, + "loss": 1.2332, + "step": 6945 + }, + { + "epoch": 0.87, + "learning_rate": 1.0197530645592579e-05, + "loss": 1.2193, + "step": 6950 + }, + { + "epoch": 0.87, + "learning_rate": 1.0101670324961098e-05, + "loss": 1.245, + "step": 6955 + }, + { + "epoch": 0.87, + "learning_rate": 1.000623872170311e-05, + "loss": 1.1803, + "step": 6960 + }, + { + "epoch": 0.87, + "learning_rate": 9.911236290923765e-06, + "loss": 1.2356, + "step": 6965 + }, + { + "epoch": 0.87, + "learning_rate": 9.81666348568142e-06, + "loss": 1.1854, + "step": 6970 + }, + { + "epoch": 0.87, + "learning_rate": 9.722520756985632e-06, + "loss": 1.257, + "step": 6975 + }, + { + "epoch": 0.87, + "learning_rate": 9.628808553794922e-06, + "loss": 1.1904, + "step": 6980 + }, + { + "epoch": 0.87, + "learning_rate": 9.535527323014748e-06, + "loss": 1.2469, + "step": 6985 + }, + { + "epoch": 0.87, + "learning_rate": 9.442677509495179e-06, + "loss": 1.2247, + "step": 6990 + }, + { + "epoch": 0.88, + "learning_rate": 9.350259556029017e-06, + "loss": 1.194, + "step": 6995 + }, + { + "epoch": 0.88, + "learning_rate": 9.25827390334949e-06, + "loss": 1.2252, + "step": 7000 + }, + { + "epoch": 0.88, + "learning_rate": 9.16672099012822e-06, + "loss": 1.2245, + "step": 7005 + }, + { + "epoch": 0.88, + "learning_rate": 9.075601252973153e-06, + "loss": 1.2702, + "step": 7010 + }, + { + "epoch": 0.88, + "learning_rate": 8.984915126426452e-06, + "loss": 1.2296, + "step": 7015 + }, + { + "epoch": 0.88, + "learning_rate": 8.894663042962426e-06, + "loss": 1.204, + "step": 7020 + }, + { + "epoch": 0.88, + "learning_rate": 8.804845432985454e-06, + "loss": 1.2106, + "step": 7025 + }, + { + "epoch": 0.88, + "learning_rate": 8.715462724827995e-06, + "loss": 1.2468, + "step": 7030 + }, + { + "epoch": 0.88, + "learning_rate": 8.626515344748454e-06, + "loss": 1.2369, + "step": 7035 + }, + { + "epoch": 0.88, + "learning_rate": 8.5380037169292e-06, + "loss": 1.2286, + "step": 7040 + }, + { + "epoch": 0.88, + "learning_rate": 8.44992826347456e-06, + "loss": 1.2015, + "step": 7045 + }, + { + "epoch": 0.88, + "learning_rate": 8.362289404408751e-06, + "loss": 1.206, + "step": 7050 + }, + { + "epoch": 0.88, + "learning_rate": 8.275087557673934e-06, + "loss": 1.2186, + "step": 7055 + }, + { + "epoch": 0.88, + "learning_rate": 8.188323139128174e-06, + "loss": 1.2939, + "step": 7060 + }, + { + "epoch": 0.88, + "learning_rate": 8.101996562543546e-06, + "loss": 1.2394, + "step": 7065 + }, + { + "epoch": 0.88, + "learning_rate": 8.01610823960397e-06, + "loss": 1.1787, + "step": 7070 + }, + { + "epoch": 0.89, + "learning_rate": 7.930658579903483e-06, + "loss": 1.2321, + "step": 7075 + }, + { + "epoch": 0.89, + "learning_rate": 7.845647990944138e-06, + "loss": 1.2155, + "step": 7080 + }, + { + "epoch": 0.89, + "learning_rate": 7.761076878134076e-06, + "loss": 1.2654, + "step": 7085 + }, + { + "epoch": 0.89, + "learning_rate": 7.676945644785638e-06, + "loss": 1.2361, + "step": 7090 + }, + { + "epoch": 0.89, + "learning_rate": 7.593254692113449e-06, + "loss": 1.2317, + "step": 7095 + }, + { + "epoch": 0.89, + "learning_rate": 7.510004419232386e-06, + "loss": 1.2133, + "step": 7100 + }, + { + "epoch": 0.89, + "learning_rate": 7.427195223155825e-06, + "loss": 1.2085, + "step": 7105 + }, + { + "epoch": 0.89, + "learning_rate": 7.3448274987937046e-06, + "loss": 1.2363, + "step": 7110 + }, + { + "epoch": 0.89, + "learning_rate": 7.262901638950548e-06, + "loss": 1.2551, + "step": 7115 + }, + { + "epoch": 0.89, + "learning_rate": 7.181418034323739e-06, + "loss": 1.2386, + "step": 7120 + }, + { + "epoch": 0.89, + "learning_rate": 7.100377073501552e-06, + "loss": 1.2171, + "step": 7125 + }, + { + "epoch": 0.89, + "learning_rate": 7.019779142961325e-06, + "loss": 1.247, + "step": 7130 + }, + { + "epoch": 0.89, + "learning_rate": 6.939624627067609e-06, + "loss": 1.2677, + "step": 7135 + }, + { + "epoch": 0.89, + "learning_rate": 6.859913908070426e-06, + "loss": 1.2385, + "step": 7140 + }, + { + "epoch": 0.89, + "learning_rate": 6.780647366103276e-06, + "loss": 1.2148, + "step": 7145 + }, + { + "epoch": 0.89, + "learning_rate": 6.701825379181437e-06, + "loss": 1.2399, + "step": 7150 + }, + { + "epoch": 0.9, + "learning_rate": 6.62344832320021e-06, + "loss": 1.2374, + "step": 7155 + }, + { + "epoch": 0.9, + "learning_rate": 6.545516571932964e-06, + "loss": 1.2319, + "step": 7160 + }, + { + "epoch": 0.9, + "learning_rate": 6.4680304970295095e-06, + "loss": 1.1835, + "step": 7165 + }, + { + "epoch": 0.9, + "learning_rate": 6.390990468014268e-06, + "loss": 1.244, + "step": 7170 + }, + { + "epoch": 0.9, + "learning_rate": 6.314396852284454e-06, + "loss": 1.26, + "step": 7175 + }, + { + "epoch": 0.9, + "learning_rate": 6.238250015108427e-06, + "loss": 1.2531, + "step": 7180 + }, + { + "epoch": 0.9, + "learning_rate": 6.162550319623894e-06, + "loss": 1.2704, + "step": 7185 + }, + { + "epoch": 0.9, + "learning_rate": 6.087298126836139e-06, + "loss": 1.223, + "step": 7190 + }, + { + "epoch": 0.9, + "learning_rate": 6.01249379561637e-06, + "loss": 1.2113, + "step": 7195 + }, + { + "epoch": 0.9, + "learning_rate": 5.938137682700018e-06, + "loss": 1.2136, + "step": 7200 + }, + { + "epoch": 0.9, + "learning_rate": 5.8642301426849455e-06, + "loss": 1.2261, + "step": 7205 + }, + { + "epoch": 0.9, + "learning_rate": 5.790771528029837e-06, + "loss": 1.1693, + "step": 7210 + }, + { + "epoch": 0.9, + "learning_rate": 5.7177621890524894e-06, + "loss": 1.2483, + "step": 7215 + }, + { + "epoch": 0.9, + "learning_rate": 5.645202473928113e-06, + "loss": 1.1596, + "step": 7220 + }, + { + "epoch": 0.9, + "learning_rate": 5.573092728687734e-06, + "loss": 1.2331, + "step": 7225 + }, + { + "epoch": 0.9, + "learning_rate": 5.501433297216529e-06, + "loss": 1.1981, + "step": 7230 + }, + { + "epoch": 0.91, + "learning_rate": 5.430224521252136e-06, + "loss": 1.2312, + "step": 7235 + }, + { + "epoch": 0.91, + "learning_rate": 5.359466740383012e-06, + "loss": 1.2067, + "step": 7240 + }, + { + "epoch": 0.91, + "learning_rate": 5.2891602920469575e-06, + "loss": 1.2017, + "step": 7245 + }, + { + "epoch": 0.91, + "learning_rate": 5.2193055115293375e-06, + "loss": 1.2237, + "step": 7250 + }, + { + "epoch": 0.91, + "learning_rate": 5.149902731961565e-06, + "loss": 1.2578, + "step": 7255 + }, + { + "epoch": 0.91, + "learning_rate": 5.080952284319496e-06, + "loss": 1.2231, + "step": 7260 + }, + { + "epoch": 0.91, + "learning_rate": 5.012454497421903e-06, + "loss": 1.1905, + "step": 7265 + }, + { + "epoch": 0.91, + "learning_rate": 4.944409697928775e-06, + "loss": 1.2489, + "step": 7270 + }, + { + "epoch": 0.91, + "learning_rate": 4.876818210339906e-06, + "loss": 1.2039, + "step": 7275 + }, + { + "epoch": 0.91, + "learning_rate": 4.809680356993273e-06, + "loss": 1.2106, + "step": 7280 + }, + { + "epoch": 0.91, + "learning_rate": 4.742996458063476e-06, + "loss": 1.2391, + "step": 7285 + }, + { + "epoch": 0.91, + "learning_rate": 4.676766831560297e-06, + "loss": 1.2515, + "step": 7290 + }, + { + "epoch": 0.91, + "learning_rate": 4.610991793327102e-06, + "loss": 1.256, + "step": 7295 + }, + { + "epoch": 0.91, + "learning_rate": 4.545671657039363e-06, + "loss": 1.2145, + "step": 7300 + }, + { + "epoch": 0.91, + "learning_rate": 4.480806734203169e-06, + "loss": 1.1947, + "step": 7305 + }, + { + "epoch": 0.91, + "learning_rate": 4.416397334153766e-06, + "loss": 1.2157, + "step": 7310 + }, + { + "epoch": 0.92, + "learning_rate": 4.35244376405397e-06, + "loss": 1.2253, + "step": 7315 + }, + { + "epoch": 0.92, + "learning_rate": 4.288946328892885e-06, + "loss": 1.2069, + "step": 7320 + }, + { + "epoch": 0.92, + "learning_rate": 4.225905331484292e-06, + "loss": 1.2239, + "step": 7325 + }, + { + "epoch": 0.92, + "learning_rate": 4.163321072465221e-06, + "loss": 1.1986, + "step": 7330 + }, + { + "epoch": 0.92, + "learning_rate": 4.101193850294649e-06, + "loss": 1.2351, + "step": 7335 + }, + { + "epoch": 0.92, + "learning_rate": 4.039523961251912e-06, + "loss": 1.217, + "step": 7340 + }, + { + "epoch": 0.92, + "learning_rate": 3.978311699435399e-06, + "loss": 1.2028, + "step": 7345 + }, + { + "epoch": 0.92, + "learning_rate": 3.917557356761081e-06, + "loss": 1.2869, + "step": 7350 + }, + { + "epoch": 0.92, + "learning_rate": 3.857261222961217e-06, + "loss": 1.2012, + "step": 7355 + }, + { + "epoch": 0.92, + "learning_rate": 3.7974235855828156e-06, + "loss": 1.2492, + "step": 7360 + }, + { + "epoch": 0.92, + "learning_rate": 3.7380447299864342e-06, + "loss": 1.252, + "step": 7365 + }, + { + "epoch": 0.92, + "learning_rate": 3.6791249393446916e-06, + "loss": 1.2083, + "step": 7370 + }, + { + "epoch": 0.92, + "learning_rate": 3.6206644946409906e-06, + "loss": 1.2232, + "step": 7375 + }, + { + "epoch": 0.92, + "learning_rate": 3.562663674668154e-06, + "loss": 1.2421, + "step": 7380 + }, + { + "epoch": 0.92, + "learning_rate": 3.5051227560270683e-06, + "loss": 1.2394, + "step": 7385 + }, + { + "epoch": 0.92, + "learning_rate": 3.4480420131254186e-06, + "loss": 1.2384, + "step": 7390 + }, + { + "epoch": 0.93, + "learning_rate": 3.391421718176324e-06, + "loss": 1.191, + "step": 7395 + }, + { + "epoch": 0.93, + "learning_rate": 3.335262141197104e-06, + "loss": 1.254, + "step": 7400 + }, + { + "epoch": 0.93, + "learning_rate": 3.279563550007936e-06, + "loss": 1.2812, + "step": 7405 + }, + { + "epoch": 0.93, + "learning_rate": 3.224326210230566e-06, + "loss": 1.1998, + "step": 7410 + }, + { + "epoch": 0.93, + "learning_rate": 3.1695503852871234e-06, + "loss": 1.294, + "step": 7415 + }, + { + "epoch": 0.93, + "learning_rate": 3.1152363363987856e-06, + "loss": 1.194, + "step": 7420 + }, + { + "epoch": 0.93, + "learning_rate": 3.0613843225845486e-06, + "loss": 1.2232, + "step": 7425 + }, + { + "epoch": 0.93, + "learning_rate": 3.0079946006600247e-06, + "loss": 1.1924, + "step": 7430 + }, + { + "epoch": 0.93, + "learning_rate": 2.955067425236202e-06, + "loss": 1.2307, + "step": 7435 + }, + { + "epoch": 0.93, + "learning_rate": 2.9026030487181887e-06, + "loss": 1.2746, + "step": 7440 + }, + { + "epoch": 0.93, + "learning_rate": 2.8506017213040802e-06, + "loss": 1.2516, + "step": 7445 + }, + { + "epoch": 0.93, + "learning_rate": 2.7990636909837163e-06, + "loss": 1.2431, + "step": 7450 + }, + { + "epoch": 0.93, + "learning_rate": 2.7479892035375154e-06, + "loss": 1.2416, + "step": 7455 + }, + { + "epoch": 0.93, + "learning_rate": 2.6973785025352972e-06, + "loss": 1.2047, + "step": 7460 + }, + { + "epoch": 0.93, + "learning_rate": 2.6472318293351286e-06, + "loss": 1.2163, + "step": 7465 + }, + { + "epoch": 0.93, + "learning_rate": 2.5975494230821575e-06, + "loss": 1.213, + "step": 7470 + }, + { + "epoch": 0.94, + "learning_rate": 2.548331520707492e-06, + "loss": 1.2552, + "step": 7475 + }, + { + "epoch": 0.94, + "learning_rate": 2.4995783569270793e-06, + "loss": 1.2363, + "step": 7480 + }, + { + "epoch": 0.94, + "learning_rate": 2.4512901642405163e-06, + "loss": 1.2183, + "step": 7485 + }, + { + "epoch": 0.94, + "learning_rate": 2.4034671729300408e-06, + "loss": 1.2366, + "step": 7490 + }, + { + "epoch": 0.94, + "learning_rate": 2.356109611059387e-06, + "loss": 1.2298, + "step": 7495 + }, + { + "epoch": 0.94, + "learning_rate": 2.3092177044726437e-06, + "loss": 1.2116, + "step": 7500 + }, + { + "epoch": 0.94, + "learning_rate": 2.2627916767932854e-06, + "loss": 1.2323, + "step": 7505 + }, + { + "epoch": 0.94, + "learning_rate": 2.216831749423054e-06, + "loss": 1.2388, + "step": 7510 + }, + { + "epoch": 0.94, + "learning_rate": 2.1713381415408352e-06, + "loss": 1.2411, + "step": 7515 + }, + { + "epoch": 0.94, + "learning_rate": 2.1263110701017164e-06, + "loss": 1.1264, + "step": 7520 + }, + { + "epoch": 0.94, + "learning_rate": 2.0817507498359644e-06, + "loss": 1.2822, + "step": 7525 + }, + { + "epoch": 0.94, + "learning_rate": 2.0376573932478384e-06, + "loss": 1.2128, + "step": 7530 + }, + { + "epoch": 0.94, + "learning_rate": 1.9940312106147886e-06, + "loss": 1.2713, + "step": 7535 + }, + { + "epoch": 0.94, + "learning_rate": 1.9508724099863042e-06, + "loss": 1.298, + "step": 7540 + }, + { + "epoch": 0.94, + "learning_rate": 1.9081811971829787e-06, + "loss": 1.2, + "step": 7545 + }, + { + "epoch": 0.94, + "learning_rate": 1.8659577757955016e-06, + "loss": 1.1591, + "step": 7550 + }, + { + "epoch": 0.95, + "learning_rate": 1.8242023471837788e-06, + "loss": 1.2002, + "step": 7555 + }, + { + "epoch": 0.95, + "learning_rate": 1.7829151104757802e-06, + "loss": 1.1894, + "step": 7560 + }, + { + "epoch": 0.95, + "learning_rate": 1.7420962625668059e-06, + "loss": 1.2567, + "step": 7565 + }, + { + "epoch": 0.95, + "learning_rate": 1.7017459981184202e-06, + "loss": 1.2795, + "step": 7570 + }, + { + "epoch": 0.95, + "learning_rate": 1.6618645095575425e-06, + "loss": 1.2537, + "step": 7575 + }, + { + "epoch": 0.95, + "learning_rate": 1.6224519870755572e-06, + "loss": 1.2301, + "step": 7580 + }, + { + "epoch": 0.95, + "learning_rate": 1.5835086186273718e-06, + "loss": 1.2443, + "step": 7585 + }, + { + "epoch": 0.95, + "learning_rate": 1.5450345899305496e-06, + "loss": 1.2132, + "step": 7590 + }, + { + "epoch": 0.95, + "learning_rate": 1.5070300844644114e-06, + "loss": 1.2202, + "step": 7595 + }, + { + "epoch": 0.95, + "learning_rate": 1.4694952834691688e-06, + "loss": 1.2344, + "step": 7600 + }, + { + "epoch": 0.95, + "learning_rate": 1.4324303659450588e-06, + "loss": 1.219, + "step": 7605 + }, + { + "epoch": 0.95, + "learning_rate": 1.395835508651444e-06, + "loss": 1.2289, + "step": 7610 + }, + { + "epoch": 0.95, + "learning_rate": 1.359710886106058e-06, + "loss": 1.2259, + "step": 7615 + }, + { + "epoch": 0.95, + "learning_rate": 1.3240566705841062e-06, + "loss": 1.2471, + "step": 7620 + }, + { + "epoch": 0.95, + "learning_rate": 1.2888730321174657e-06, + "loss": 1.2772, + "step": 7625 + }, + { + "epoch": 0.95, + "learning_rate": 1.2541601384938651e-06, + "loss": 1.1938, + "step": 7630 + }, + { + "epoch": 0.96, + "learning_rate": 1.2199181552561056e-06, + "loss": 1.2427, + "step": 7635 + }, + { + "epoch": 0.96, + "learning_rate": 1.1861472457012301e-06, + "loss": 1.2376, + "step": 7640 + }, + { + "epoch": 0.96, + "learning_rate": 1.1528475708798114e-06, + "loss": 1.2138, + "step": 7645 + }, + { + "epoch": 0.96, + "learning_rate": 1.1200192895951311e-06, + "loss": 1.2573, + "step": 7650 + }, + { + "epoch": 0.96, + "learning_rate": 1.0876625584024026e-06, + "loss": 1.1977, + "step": 7655 + }, + { + "epoch": 0.96, + "learning_rate": 1.055777531608093e-06, + "loss": 1.165, + "step": 7660 + }, + { + "epoch": 0.96, + "learning_rate": 1.0243643612691478e-06, + "loss": 1.179, + "step": 7665 + }, + { + "epoch": 0.96, + "learning_rate": 9.93423197192267e-07, + "loss": 1.1903, + "step": 7670 + }, + { + "epoch": 0.96, + "learning_rate": 9.629541869331848e-07, + "loss": 1.207, + "step": 7675 + }, + { + "epoch": 0.96, + "learning_rate": 9.329574757959813e-07, + "loss": 1.2175, + "step": 7680 + }, + { + "epoch": 0.96, + "learning_rate": 9.034332068323825e-07, + "loss": 1.2146, + "step": 7685 + }, + { + "epoch": 0.96, + "learning_rate": 8.743815208410833e-07, + "loss": 1.2578, + "step": 7690 + }, + { + "epoch": 0.96, + "learning_rate": 8.458025563670702e-07, + "loss": 1.1793, + "step": 7695 + }, + { + "epoch": 0.96, + "learning_rate": 8.176964497009332e-07, + "loss": 1.2312, + "step": 7700 + }, + { + "epoch": 0.96, + "learning_rate": 7.900633348782882e-07, + "loss": 1.222, + "step": 7705 + }, + { + "epoch": 0.96, + "learning_rate": 7.629033436790777e-07, + "loss": 1.1906, + "step": 7710 + }, + { + "epoch": 0.97, + "learning_rate": 7.362166056269493e-07, + "loss": 1.2747, + "step": 7715 + }, + { + "epoch": 0.97, + "learning_rate": 7.100032479886443e-07, + "loss": 1.2164, + "step": 7720 + }, + { + "epoch": 0.97, + "learning_rate": 6.842633957734213e-07, + "loss": 1.2646, + "step": 7725 + }, + { + "epoch": 0.97, + "learning_rate": 6.589971717323895e-07, + "loss": 1.2018, + "step": 7730 + }, + { + "epoch": 0.97, + "learning_rate": 6.342046963580095e-07, + "loss": 1.2557, + "step": 7735 + }, + { + "epoch": 0.97, + "learning_rate": 6.098860878834489e-07, + "loss": 1.2476, + "step": 7740 + }, + { + "epoch": 0.97, + "learning_rate": 5.86041462282061e-07, + "loss": 1.1789, + "step": 7745 + }, + { + "epoch": 0.97, + "learning_rate": 5.626709332667845e-07, + "loss": 1.2342, + "step": 7750 + }, + { + "epoch": 0.97, + "learning_rate": 5.397746122896785e-07, + "loss": 1.209, + "step": 7755 + }, + { + "epoch": 0.97, + "learning_rate": 5.173526085413105e-07, + "loss": 1.1891, + "step": 7760 + }, + { + "epoch": 0.97, + "learning_rate": 4.954050289502799e-07, + "loss": 1.121, + "step": 7765 + }, + { + "epoch": 0.97, + "learning_rate": 4.7393197818270674e-07, + "loss": 1.216, + "step": 7770 + }, + { + "epoch": 0.97, + "learning_rate": 4.529335586417105e-07, + "loss": 1.2014, + "step": 7775 + }, + { + "epoch": 0.97, + "learning_rate": 4.3240987046694327e-07, + "loss": 1.2685, + "step": 7780 + }, + { + "epoch": 0.97, + "learning_rate": 4.1236101153409036e-07, + "loss": 1.28, + "step": 7785 + }, + { + "epoch": 0.97, + "learning_rate": 3.927870774544484e-07, + "loss": 1.263, + "step": 7790 + }, + { + "epoch": 0.98, + "learning_rate": 3.7368816157441476e-07, + "loss": 1.2468, + "step": 7795 + }, + { + "epoch": 0.98, + "learning_rate": 3.550643549750543e-07, + "loss": 1.2802, + "step": 7800 + }, + { + "epoch": 0.98, + "learning_rate": 3.3691574647171096e-07, + "loss": 1.2266, + "step": 7805 + }, + { + "epoch": 0.98, + "learning_rate": 3.1924242261351935e-07, + "loss": 1.2196, + "step": 7810 + }, + { + "epoch": 0.98, + "learning_rate": 3.020444676830492e-07, + "loss": 1.2579, + "step": 7815 + }, + { + "epoch": 0.98, + "learning_rate": 2.853219636958504e-07, + "loss": 1.2365, + "step": 7820 + }, + { + "epoch": 0.98, + "learning_rate": 2.6907499040011995e-07, + "loss": 1.1901, + "step": 7825 + }, + { + "epoch": 0.98, + "learning_rate": 2.533036252762466e-07, + "loss": 1.2284, + "step": 7830 + }, + { + "epoch": 0.98, + "learning_rate": 2.3800794353651123e-07, + "loss": 1.2083, + "step": 7835 + }, + { + "epoch": 0.98, + "learning_rate": 2.2318801812472035e-07, + "loss": 1.2617, + "step": 7840 + }, + { + "epoch": 0.98, + "learning_rate": 2.0884391971579542e-07, + "loss": 1.2174, + "step": 7845 + }, + { + "epoch": 0.98, + "learning_rate": 1.949757167155286e-07, + "loss": 1.1911, + "step": 7850 + }, + { + "epoch": 0.98, + "learning_rate": 1.8158347526014973e-07, + "loss": 1.1934, + "step": 7855 + }, + { + "epoch": 0.98, + "learning_rate": 1.6866725921613758e-07, + "loss": 1.1893, + "step": 7860 + }, + { + "epoch": 0.98, + "learning_rate": 1.5622713017978685e-07, + "loss": 1.267, + "step": 7865 + }, + { + "epoch": 0.98, + "learning_rate": 1.442631474770084e-07, + "loss": 1.2208, + "step": 7870 + }, + { + "epoch": 0.99, + "learning_rate": 1.327753681630073e-07, + "loss": 1.184, + "step": 7875 + }, + { + "epoch": 0.99, + "learning_rate": 1.2176384702200505e-07, + "loss": 1.2172, + "step": 7880 + }, + { + "epoch": 0.99, + "learning_rate": 1.1122863656698457e-07, + "loss": 1.2494, + "step": 7885 + }, + { + "epoch": 0.99, + "learning_rate": 1.01169787039479e-07, + "loss": 1.234, + "step": 7890 + }, + { + "epoch": 0.99, + "learning_rate": 9.158734640924981e-08, + "loss": 1.2643, + "step": 7895 + }, + { + "epoch": 0.99, + "learning_rate": 8.248136037415366e-08, + "loss": 1.224, + "step": 7900 + }, + { + "epoch": 0.99, + "learning_rate": 7.385187235983138e-08, + "loss": 1.1957, + "step": 7905 + }, + { + "epoch": 0.99, + "learning_rate": 6.569892351956375e-08, + "loss": 1.1747, + "step": 7910 + }, + { + "epoch": 0.99, + "learning_rate": 5.8022552734082744e-08, + "loss": 1.2167, + "step": 7915 + }, + { + "epoch": 0.99, + "learning_rate": 5.0822796611327275e-08, + "loss": 1.2388, + "step": 7920 + }, + { + "epoch": 0.99, + "learning_rate": 4.4099689486298835e-08, + "loss": 1.1948, + "step": 7925 + }, + { + "epoch": 0.99, + "learning_rate": 3.785326342092832e-08, + "loss": 1.2333, + "step": 7930 + }, + { + "epoch": 0.99, + "learning_rate": 3.208354820388726e-08, + "loss": 1.2133, + "step": 7935 + }, + { + "epoch": 0.99, + "learning_rate": 2.6790571350432393e-08, + "loss": 1.2177, + "step": 7940 + }, + { + "epoch": 0.99, + "learning_rate": 2.1974358102339054e-08, + "loss": 1.2099, + "step": 7945 + }, + { + "epoch": 0.99, + "learning_rate": 1.7634931427679134e-08, + "loss": 1.2405, + "step": 7950 + }, + { + "epoch": 1.0, + "learning_rate": 1.3772312020832179e-08, + "loss": 1.2382, + "step": 7955 + }, + { + "epoch": 1.0, + "learning_rate": 1.0386518302285542e-08, + "loss": 1.222, + "step": 7960 + }, + { + "epoch": 1.0, + "learning_rate": 7.47756641860109e-09, + "loss": 1.2124, + "step": 7965 + }, + { + "epoch": 1.0, + "learning_rate": 5.0454702423152754e-09, + "loss": 1.1807, + "step": 7970 + }, + { + "epoch": 1.0, + "learning_rate": 3.0902413718836288e-09, + "loss": 1.2576, + "step": 7975 + }, + { + "epoch": 1.0, + "learning_rate": 1.6118891316141416e-09, + "loss": 1.2759, + "step": 7980 + }, + { + "epoch": 1.0, + "learning_rate": 6.104205716672695e-10, + "loss": 1.248, + "step": 7985 + }, + { + "epoch": 1.0, + "learning_rate": 8.584046794490875e-11, + "loss": 1.2101, + "step": 7990 + }, + { + "epoch": 1.0, + "eval_loss": 1.2118308544158936, + "eval_runtime": 1435.8146, + "eval_samples_per_second": 19.715, + "eval_steps_per_second": 0.616, + "step": 7993 + }, + { + "epoch": 1.0, + "step": 7993, + "total_flos": 3.445896033337344e+16, + "train_loss": 1.2476971375693162, + "train_runtime": 45278.0566, + "train_samples_per_second": 5.649, + "train_steps_per_second": 0.177 + } + ], + "logging_steps": 5, + "max_steps": 7993, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 100, + "total_flos": 3.445896033337344e+16, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +}