diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,4809 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.999053926206244, + "global_step": 3960, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.01, + "learning_rate": 6.289308176100629e-06, + "loss": 5.7433, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 1.2578616352201259e-05, + "loss": 5.2911, + "step": 10 + }, + { + "epoch": 0.02, + "learning_rate": 1.8867924528301888e-05, + "loss": 4.8586, + "step": 15 + }, + { + "epoch": 0.02, + "learning_rate": 2.5157232704402517e-05, + "loss": 4.5404, + "step": 20 + }, + { + "epoch": 0.03, + "learning_rate": 3.144654088050314e-05, + "loss": 4.2673, + "step": 25 + }, + { + "epoch": 0.03, + "learning_rate": 3.7735849056603776e-05, + "loss": 4.0794, + "step": 30 + }, + { + "epoch": 0.04, + "learning_rate": 4.402515723270441e-05, + "loss": 3.9428, + "step": 35 + }, + { + "epoch": 0.04, + "learning_rate": 5.0314465408805034e-05, + "loss": 3.8166, + "step": 40 + }, + { + "epoch": 0.05, + "learning_rate": 5.660377358490566e-05, + "loss": 3.7152, + "step": 45 + }, + { + "epoch": 0.05, + "learning_rate": 6.289308176100629e-05, + "loss": 3.6501, + "step": 50 + }, + { + "epoch": 0.06, + "learning_rate": 6.918238993710691e-05, + "loss": 3.583, + "step": 55 + }, + { + "epoch": 0.06, + "learning_rate": 7.547169811320755e-05, + "loss": 3.5229, + "step": 60 + }, + { + "epoch": 0.07, + "learning_rate": 8.176100628930818e-05, + "loss": 3.4693, + "step": 65 + }, + { + "epoch": 0.07, + "learning_rate": 8.805031446540882e-05, + "loss": 3.4358, + "step": 70 + }, + { + "epoch": 0.08, + "learning_rate": 9.433962264150944e-05, + "loss": 3.3779, + "step": 75 + }, + { + "epoch": 0.08, + "learning_rate": 0.00010062893081761007, + "loss": 3.3463, + "step": 80 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001069182389937107, + "loss": 3.3215, + "step": 85 + }, + { + "epoch": 0.09, + "learning_rate": 0.00011320754716981132, + "loss": 3.2891, + "step": 90 + }, + { + "epoch": 0.1, + "learning_rate": 0.00011949685534591195, + "loss": 3.2593, + "step": 95 + }, + { + "epoch": 0.1, + "learning_rate": 0.00012578616352201257, + "loss": 3.2389, + "step": 100 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001320754716981132, + "loss": 3.208, + "step": 105 + }, + { + "epoch": 0.11, + "learning_rate": 0.00013836477987421382, + "loss": 3.1893, + "step": 110 + }, + { + "epoch": 0.12, + "learning_rate": 0.00014465408805031446, + "loss": 3.1749, + "step": 115 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001509433962264151, + "loss": 3.1352, + "step": 120 + }, + { + "epoch": 0.13, + "learning_rate": 0.00015723270440251574, + "loss": 3.1069, + "step": 125 + }, + { + "epoch": 0.13, + "learning_rate": 0.00016352201257861635, + "loss": 3.0995, + "step": 130 + }, + { + "epoch": 0.14, + "learning_rate": 0.000169811320754717, + "loss": 3.0828, + "step": 135 + }, + { + "epoch": 0.14, + "learning_rate": 0.00017610062893081763, + "loss": 3.0757, + "step": 140 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018238993710691825, + "loss": 3.0406, + "step": 145 + }, + { + "epoch": 0.15, + "learning_rate": 0.00018867924528301889, + "loss": 3.0378, + "step": 150 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001949685534591195, + "loss": 3.0082, + "step": 155 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019999996584345097, + "loss": 3.0023, + "step": 160 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019999877036668484, + "loss": 2.9836, + "step": 165 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001999958670858004, + "loss": 2.9812, + "step": 170 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019999125605038058, + "loss": 2.9464, + "step": 175 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019998493733917384, + "loss": 2.9401, + "step": 180 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019997691106009272, + "loss": 2.924, + "step": 185 + }, + { + "epoch": 0.19, + "learning_rate": 0.000199967177350212, + "loss": 2.9024, + "step": 190 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019995573637576647, + "loss": 2.8813, + "step": 195 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001999425883321479, + "loss": 2.8854, + "step": 200 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019992773344390194, + "loss": 2.8847, + "step": 205 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019991117196472405, + "loss": 2.8749, + "step": 210 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019989290417745542, + "loss": 2.8411, + "step": 215 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001998729303940778, + "loss": 2.8315, + "step": 220 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019985125095570855, + "loss": 2.8267, + "step": 225 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019982786623259452, + "loss": 2.8072, + "step": 230 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001998027766241059, + "loss": 2.805, + "step": 235 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001997759825587294, + "loss": 2.7963, + "step": 240 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019974748449406069, + "loss": 2.7773, + "step": 245 + }, + { + "epoch": 0.25, + "learning_rate": 0.0001997172829167969, + "loss": 2.7808, + "step": 250 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001996853783427282, + "loss": 2.7796, + "step": 255 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001996517713167289, + "loss": 2.7296, + "step": 260 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001996164624127482, + "loss": 2.7506, + "step": 265 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019957945223380045, + "loss": 2.7212, + "step": 270 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001995407414119548, + "loss": 2.7339, + "step": 275 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001995003306083244, + "loss": 2.7255, + "step": 280 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019945822051305507, + "loss": 2.6909, + "step": 285 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001994144118453136, + "loss": 2.6944, + "step": 290 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019936890535327543, + "loss": 2.6877, + "step": 295 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019932170181411184, + "loss": 2.6761, + "step": 300 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001992728020339768, + "loss": 2.6946, + "step": 305 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019922220684799293, + "loss": 2.6618, + "step": 310 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001991699171202376, + "loss": 2.6439, + "step": 315 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019911593374372788, + "loss": 2.656, + "step": 320 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001990602576404055, + "loss": 2.6382, + "step": 325 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019900288976112084, + "loss": 2.6359, + "step": 330 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019894383108561697, + "loss": 2.6341, + "step": 335 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019888308262251285, + "loss": 2.617, + "step": 340 + }, + { + "epoch": 0.35, + "learning_rate": 0.000198820645409286, + "loss": 2.6151, + "step": 345 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001987565205122547, + "loss": 2.6267, + "step": 350 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019869070902656018, + "loss": 2.6007, + "step": 355 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019862321207614748, + "loss": 2.6052, + "step": 360 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019855403081374648, + "loss": 2.5964, + "step": 365 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019848316642085215, + "loss": 2.5614, + "step": 370 + }, + { + "epoch": 0.38, + "learning_rate": 0.00019841062010770435, + "loss": 2.5562, + "step": 375 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001983363931132673, + "loss": 2.5723, + "step": 380 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019826048670520824, + "loss": 2.5707, + "step": 385 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019818290217987587, + "loss": 2.5718, + "step": 390 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019810364086227819, + "loss": 2.5659, + "step": 395 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019802270410605987, + "loss": 2.5516, + "step": 400 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019794009329347924, + "loss": 2.5571, + "step": 405 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019785580983538444, + "loss": 2.534, + "step": 410 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019776985517118957, + "loss": 2.5348, + "step": 415 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019768223076884996, + "loss": 2.5275, + "step": 420 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019759293812483713, + "loss": 2.5146, + "step": 425 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019750197876411334, + "loss": 2.5079, + "step": 430 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019740935424010538, + "loss": 2.5012, + "step": 435 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019731506613467816, + "loss": 2.5222, + "step": 440 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019721911605810757, + "loss": 2.4999, + "step": 445 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019712150564905317, + "loss": 2.5052, + "step": 450 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019702223657453002, + "loss": 2.4901, + "step": 455 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019692131052988034, + "loss": 2.4705, + "step": 460 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001968187292387444, + "loss": 2.484, + "step": 465 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019671449445303135, + "loss": 2.4761, + "step": 470 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019660860795288896, + "loss": 2.4538, + "step": 475 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019650107154667353, + "loss": 2.4634, + "step": 480 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001963918870709188, + "loss": 2.4823, + "step": 485 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019628105639030467, + "loss": 2.4622, + "step": 490 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019616858139762534, + "loss": 2.4447, + "step": 495 + }, + { + "epoch": 0.5, + "learning_rate": 0.000196054464013757, + "loss": 2.459, + "step": 500 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019593870618762497, + "loss": 2.4341, + "step": 505 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019582130989617051, + "loss": 2.4287, + "step": 510 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019570227714431698, + "loss": 2.4302, + "step": 515 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019558160996493556, + "loss": 2.4237, + "step": 520 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001954593104188107, + "loss": 2.4327, + "step": 525 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019533538059460475, + "loss": 2.419, + "step": 530 + }, + { + "epoch": 0.54, + "learning_rate": 0.00019520982260882238, + "loss": 2.4153, + "step": 535 + }, + { + "epoch": 0.54, + "learning_rate": 0.00019508263860577442, + "loss": 2.414, + "step": 540 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001949538307575412, + "loss": 2.4247, + "step": 545 + }, + { + "epoch": 0.56, + "learning_rate": 0.00019482340126393552, + "loss": 2.3946, + "step": 550 + }, + { + "epoch": 0.56, + "learning_rate": 0.00019469135235246503, + "loss": 2.4084, + "step": 555 + }, + { + "epoch": 0.57, + "learning_rate": 0.00019455768627829422, + "loss": 2.3901, + "step": 560 + }, + { + "epoch": 0.57, + "learning_rate": 0.00019442240532420584, + "loss": 2.3726, + "step": 565 + }, + { + "epoch": 0.58, + "learning_rate": 0.00019428551180056204, + "loss": 2.3769, + "step": 570 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001941470080452648, + "loss": 2.3772, + "step": 575 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019400689642371606, + "loss": 2.3811, + "step": 580 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019386517932877724, + "loss": 2.3667, + "step": 585 + }, + { + "epoch": 0.6, + "learning_rate": 0.0001937218591807285, + "loss": 2.3726, + "step": 590 + }, + { + "epoch": 0.6, + "learning_rate": 0.00019357693842722736, + "loss": 2.3663, + "step": 595 + }, + { + "epoch": 0.61, + "learning_rate": 0.0001934304195432668, + "loss": 2.3675, + "step": 600 + }, + { + "epoch": 0.61, + "learning_rate": 0.00019328230503113316, + "loss": 2.3655, + "step": 605 + }, + { + "epoch": 0.62, + "learning_rate": 0.00019313259742036328, + "loss": 2.368, + "step": 610 + }, + { + "epoch": 0.62, + "learning_rate": 0.00019298129926770133, + "loss": 2.3418, + "step": 615 + }, + { + "epoch": 0.63, + "learning_rate": 0.00019282841315705515, + "loss": 2.3395, + "step": 620 + }, + { + "epoch": 0.63, + "learning_rate": 0.00019267394169945217, + "loss": 2.3583, + "step": 625 + }, + { + "epoch": 0.64, + "learning_rate": 0.0001925178875329947, + "loss": 2.3253, + "step": 630 + }, + { + "epoch": 0.64, + "learning_rate": 0.00019236025332281507, + "loss": 2.3288, + "step": 635 + }, + { + "epoch": 0.65, + "learning_rate": 0.00019220104176102985, + "loss": 2.3621, + "step": 640 + }, + { + "epoch": 0.65, + "learning_rate": 0.0001920402555666941, + "loss": 2.3427, + "step": 645 + }, + { + "epoch": 0.66, + "learning_rate": 0.00019187789748575481, + "loss": 2.3394, + "step": 650 + }, + { + "epoch": 0.66, + "learning_rate": 0.00019171397029100416, + "loss": 2.3375, + "step": 655 + }, + { + "epoch": 0.67, + "learning_rate": 0.00019154847678203184, + "loss": 2.3196, + "step": 660 + }, + { + "epoch": 0.67, + "learning_rate": 0.00019138141978517764, + "loss": 2.3157, + "step": 665 + }, + { + "epoch": 0.68, + "learning_rate": 0.00019121280215348286, + "loss": 2.2923, + "step": 670 + }, + { + "epoch": 0.68, + "learning_rate": 0.0001910426267666418, + "loss": 2.3152, + "step": 675 + }, + { + "epoch": 0.69, + "learning_rate": 0.00019087089653095252, + "loss": 2.3209, + "step": 680 + }, + { + "epoch": 0.69, + "learning_rate": 0.000190697614379267, + "loss": 2.31, + "step": 685 + }, + { + "epoch": 0.7, + "learning_rate": 0.00019052278327094145, + "loss": 2.3068, + "step": 690 + }, + { + "epoch": 0.7, + "learning_rate": 0.0001903464061917854, + "loss": 2.2994, + "step": 695 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019016848615401095, + "loss": 2.3125, + "step": 700 + }, + { + "epoch": 0.71, + "learning_rate": 0.00018998902619618116, + "loss": 2.3146, + "step": 705 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018980802938315826, + "loss": 2.2878, + "step": 710 + }, + { + "epoch": 0.72, + "learning_rate": 0.00018962549880605133, + "loss": 2.2895, + "step": 715 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018944143758216337, + "loss": 2.3017, + "step": 720 + }, + { + "epoch": 0.73, + "learning_rate": 0.00018925584885493823, + "loss": 2.2918, + "step": 725 + }, + { + "epoch": 0.74, + "learning_rate": 0.00018906873579390681, + "loss": 2.2867, + "step": 730 + }, + { + "epoch": 0.74, + "learning_rate": 0.00018888010159463293, + "loss": 2.2766, + "step": 735 + }, + { + "epoch": 0.75, + "learning_rate": 0.00018868994947865883, + "loss": 2.2821, + "step": 740 + }, + { + "epoch": 0.75, + "learning_rate": 0.00018849828269345016, + "loss": 2.2982, + "step": 745 + }, + { + "epoch": 0.76, + "learning_rate": 0.00018830510451234037, + "loss": 2.2653, + "step": 750 + }, + { + "epoch": 0.76, + "learning_rate": 0.00018811041823447498, + "loss": 2.2641, + "step": 755 + }, + { + "epoch": 0.77, + "learning_rate": 0.00018791422718475516, + "loss": 2.2767, + "step": 760 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001877165347137809, + "loss": 2.2804, + "step": 765 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001875173441977939, + "loss": 2.2629, + "step": 770 + }, + { + "epoch": 0.78, + "learning_rate": 0.00018731665903861985, + "loss": 2.2589, + "step": 775 + }, + { + "epoch": 0.79, + "learning_rate": 0.00018711448266361025, + "loss": 2.2489, + "step": 780 + }, + { + "epoch": 0.79, + "learning_rate": 0.00018691081852558407, + "loss": 2.2529, + "step": 785 + }, + { + "epoch": 0.8, + "learning_rate": 0.00018670567010276858, + "loss": 2.2726, + "step": 790 + }, + { + "epoch": 0.8, + "learning_rate": 0.0001864990408987401, + "loss": 2.2599, + "step": 795 + }, + { + "epoch": 0.81, + "learning_rate": 0.00018629093444236402, + "loss": 2.2437, + "step": 800 + }, + { + "epoch": 0.81, + "learning_rate": 0.00018608135428773478, + "loss": 2.2449, + "step": 805 + }, + { + "epoch": 0.82, + "learning_rate": 0.0001858703040141148, + "loss": 2.2381, + "step": 810 + }, + { + "epoch": 0.82, + "learning_rate": 0.0001856577872258737, + "loss": 2.2333, + "step": 815 + }, + { + "epoch": 0.83, + "learning_rate": 0.0001854438075524266, + "loss": 2.2305, + "step": 820 + }, + { + "epoch": 0.83, + "learning_rate": 0.0001852283686481721, + "loss": 2.2371, + "step": 825 + }, + { + "epoch": 0.84, + "learning_rate": 0.0001850114741924299, + "loss": 2.2247, + "step": 830 + }, + { + "epoch": 0.84, + "learning_rate": 0.000184793127889378, + "loss": 2.235, + "step": 835 + }, + { + "epoch": 0.85, + "learning_rate": 0.0001845733334679894, + "loss": 2.2326, + "step": 840 + }, + { + "epoch": 0.85, + "learning_rate": 0.00018435209468196847, + "loss": 2.2293, + "step": 845 + }, + { + "epoch": 0.86, + "learning_rate": 0.00018412941530968676, + "loss": 2.2337, + "step": 850 + }, + { + "epoch": 0.86, + "learning_rate": 0.00018390529915411852, + "loss": 2.2283, + "step": 855 + }, + { + "epoch": 0.87, + "learning_rate": 0.00018367975004277573, + "loss": 2.2207, + "step": 860 + }, + { + "epoch": 0.87, + "learning_rate": 0.00018345277182764278, + "loss": 2.2269, + "step": 865 + }, + { + "epoch": 0.88, + "learning_rate": 0.00018322436838511064, + "loss": 2.2116, + "step": 870 + }, + { + "epoch": 0.88, + "learning_rate": 0.00018299454361591066, + "loss": 2.2105, + "step": 875 + }, + { + "epoch": 0.89, + "learning_rate": 0.00018276330144504803, + "loss": 2.2061, + "step": 880 + }, + { + "epoch": 0.89, + "learning_rate": 0.00018253064582173455, + "loss": 2.2157, + "step": 885 + }, + { + "epoch": 0.9, + "learning_rate": 0.00018229658071932146, + "loss": 2.2018, + "step": 890 + }, + { + "epoch": 0.9, + "learning_rate": 0.00018206111013523133, + "loss": 2.2106, + "step": 895 + }, + { + "epoch": 0.91, + "learning_rate": 0.00018182423809088997, + "loss": 2.2141, + "step": 900 + }, + { + "epoch": 0.91, + "learning_rate": 0.00018158596863165763, + "loss": 2.2089, + "step": 905 + }, + { + "epoch": 0.92, + "learning_rate": 0.00018134630582675998, + "loss": 2.1962, + "step": 910 + }, + { + "epoch": 0.92, + "learning_rate": 0.00018110525376921862, + "loss": 2.1802, + "step": 915 + }, + { + "epoch": 0.93, + "learning_rate": 0.00018086281657578112, + "loss": 2.1924, + "step": 920 + }, + { + "epoch": 0.93, + "learning_rate": 0.0001806189983868508, + "loss": 2.1845, + "step": 925 + }, + { + "epoch": 0.94, + "learning_rate": 0.0001803738033664159, + "loss": 2.198, + "step": 930 + }, + { + "epoch": 0.94, + "learning_rate": 0.00018012723570197858, + "loss": 2.1849, + "step": 935 + }, + { + "epoch": 0.95, + "learning_rate": 0.00017987929960448332, + "loss": 2.1755, + "step": 940 + }, + { + "epoch": 0.95, + "learning_rate": 0.00017962999930824512, + "loss": 2.1981, + "step": 945 + }, + { + "epoch": 0.96, + "learning_rate": 0.00017937933907087703, + "loss": 2.1859, + "step": 950 + }, + { + "epoch": 0.96, + "learning_rate": 0.00017912732317321752, + "loss": 2.1664, + "step": 955 + }, + { + "epoch": 0.97, + "learning_rate": 0.00017887395591925745, + "loss": 2.1795, + "step": 960 + }, + { + "epoch": 0.97, + "learning_rate": 0.0001786192416360664, + "loss": 2.1862, + "step": 965 + }, + { + "epoch": 0.98, + "learning_rate": 0.00017836318467371888, + "loss": 2.1519, + "step": 970 + }, + { + "epoch": 0.98, + "learning_rate": 0.00017810578940521995, + "loss": 2.1541, + "step": 975 + }, + { + "epoch": 0.99, + "learning_rate": 0.0001778470602264308, + "loss": 2.1666, + "step": 980 + }, + { + "epoch": 0.99, + "learning_rate": 0.00017758700155599317, + "loss": 2.1724, + "step": 985 + }, + { + "epoch": 1.0, + "learning_rate": 0.00017732561783525446, + "loss": 2.1677, + "step": 990 + }, + { + "epoch": 1.0, + "eval_loss": 2.0888257026672363, + "eval_runtime": 106.8696, + "eval_samples_per_second": 124.629, + "eval_steps_per_second": 15.58, + "step": 990 + }, + { + "epoch": 1.01, + "learning_rate": 0.00017706291352819145, + "loss": 2.5238, + "step": 995 + }, + { + "epoch": 1.01, + "learning_rate": 0.00017679889312133439, + "loss": 2.096, + "step": 1000 + }, + { + "epoch": 1.02, + "learning_rate": 0.00017653356112368998, + "loss": 2.0933, + "step": 1005 + }, + { + "epoch": 1.02, + "learning_rate": 0.00017626692206666476, + "loss": 2.1039, + "step": 1010 + }, + { + "epoch": 1.03, + "learning_rate": 0.00017599898050398754, + "loss": 2.0939, + "step": 1015 + }, + { + "epoch": 1.03, + "learning_rate": 0.00017572974101163165, + "loss": 2.0904, + "step": 1020 + }, + { + "epoch": 1.04, + "learning_rate": 0.00017545920818773668, + "loss": 2.1099, + "step": 1025 + }, + { + "epoch": 1.04, + "learning_rate": 0.00017518738665253027, + "loss": 2.0936, + "step": 1030 + }, + { + "epoch": 1.05, + "learning_rate": 0.0001749142810482488, + "loss": 2.0855, + "step": 1035 + }, + { + "epoch": 1.05, + "learning_rate": 0.00017463989603905841, + "loss": 2.0943, + "step": 1040 + }, + { + "epoch": 1.06, + "learning_rate": 0.00017436423631097517, + "loss": 2.0859, + "step": 1045 + }, + { + "epoch": 1.06, + "learning_rate": 0.00017408730657178517, + "loss": 2.0732, + "step": 1050 + }, + { + "epoch": 1.07, + "learning_rate": 0.00017380911155096408, + "loss": 2.0809, + "step": 1055 + }, + { + "epoch": 1.07, + "learning_rate": 0.00017352965599959634, + "loss": 2.0675, + "step": 1060 + }, + { + "epoch": 1.08, + "learning_rate": 0.00017324894469029404, + "loss": 2.0893, + "step": 1065 + }, + { + "epoch": 1.08, + "learning_rate": 0.00017296698241711544, + "loss": 2.0714, + "step": 1070 + }, + { + "epoch": 1.09, + "learning_rate": 0.00017268377399548302, + "loss": 2.0635, + "step": 1075 + }, + { + "epoch": 1.09, + "learning_rate": 0.0001723993242621014, + "loss": 2.0781, + "step": 1080 + }, + { + "epoch": 1.1, + "learning_rate": 0.00017211363807487456, + "loss": 2.096, + "step": 1085 + }, + { + "epoch": 1.1, + "learning_rate": 0.00017182672031282296, + "loss": 2.0508, + "step": 1090 + }, + { + "epoch": 1.11, + "learning_rate": 0.0001715385758760002, + "loss": 2.0748, + "step": 1095 + }, + { + "epoch": 1.11, + "learning_rate": 0.00017124920968540936, + "loss": 2.0777, + "step": 1100 + }, + { + "epoch": 1.12, + "learning_rate": 0.00017095862668291894, + "loss": 2.0694, + "step": 1105 + }, + { + "epoch": 1.12, + "learning_rate": 0.0001706668318311784, + "loss": 2.0762, + "step": 1110 + }, + { + "epoch": 1.13, + "learning_rate": 0.00017037383011353355, + "loss": 2.0849, + "step": 1115 + }, + { + "epoch": 1.13, + "learning_rate": 0.00017007962653394133, + "loss": 2.0816, + "step": 1120 + }, + { + "epoch": 1.14, + "learning_rate": 0.0001697842261168843, + "loss": 2.0551, + "step": 1125 + }, + { + "epoch": 1.14, + "learning_rate": 0.0001694876339072851, + "loss": 2.0851, + "step": 1130 + }, + { + "epoch": 1.15, + "learning_rate": 0.00016918985497041994, + "loss": 2.0696, + "step": 1135 + }, + { + "epoch": 1.15, + "learning_rate": 0.0001688908943918322, + "loss": 2.0712, + "step": 1140 + }, + { + "epoch": 1.16, + "learning_rate": 0.00016859075727724586, + "loss": 2.0522, + "step": 1145 + }, + { + "epoch": 1.16, + "learning_rate": 0.0001682894487524779, + "loss": 2.0487, + "step": 1150 + }, + { + "epoch": 1.17, + "learning_rate": 0.000167986973963351, + "loss": 2.053, + "step": 1155 + }, + { + "epoch": 1.17, + "learning_rate": 0.00016768333807560558, + "loss": 2.0575, + "step": 1160 + }, + { + "epoch": 1.18, + "learning_rate": 0.0001673785462748116, + "loss": 2.062, + "step": 1165 + }, + { + "epoch": 1.18, + "learning_rate": 0.00016707260376628002, + "loss": 2.0396, + "step": 1170 + }, + { + "epoch": 1.19, + "learning_rate": 0.00016676551577497382, + "loss": 2.0562, + "step": 1175 + }, + { + "epoch": 1.19, + "learning_rate": 0.0001664572875454188, + "loss": 2.0456, + "step": 1180 + }, + { + "epoch": 1.2, + "learning_rate": 0.0001661479243416142, + "loss": 2.0543, + "step": 1185 + }, + { + "epoch": 1.2, + "learning_rate": 0.00016583743144694241, + "loss": 2.0695, + "step": 1190 + }, + { + "epoch": 1.21, + "learning_rate": 0.00016552581416407917, + "loss": 2.0613, + "step": 1195 + }, + { + "epoch": 1.21, + "learning_rate": 0.00016521307781490268, + "loss": 2.0313, + "step": 1200 + }, + { + "epoch": 1.22, + "learning_rate": 0.0001648992277404028, + "loss": 2.0416, + "step": 1205 + }, + { + "epoch": 1.22, + "learning_rate": 0.00016458426930059003, + "loss": 2.0529, + "step": 1210 + }, + { + "epoch": 1.23, + "learning_rate": 0.00016426820787440364, + "loss": 2.0344, + "step": 1215 + }, + { + "epoch": 1.23, + "learning_rate": 0.00016395104885962014, + "loss": 2.0335, + "step": 1220 + }, + { + "epoch": 1.24, + "learning_rate": 0.00016363279767276075, + "loss": 2.0373, + "step": 1225 + }, + { + "epoch": 1.24, + "learning_rate": 0.00016331345974899923, + "loss": 2.0416, + "step": 1230 + }, + { + "epoch": 1.25, + "learning_rate": 0.00016299304054206886, + "loss": 2.0357, + "step": 1235 + }, + { + "epoch": 1.25, + "learning_rate": 0.00016267154552416938, + "loss": 2.0326, + "step": 1240 + }, + { + "epoch": 1.26, + "learning_rate": 0.00016234898018587337, + "loss": 2.0421, + "step": 1245 + }, + { + "epoch": 1.26, + "learning_rate": 0.00016202535003603273, + "loss": 2.0278, + "step": 1250 + }, + { + "epoch": 1.27, + "learning_rate": 0.0001617006606016845, + "loss": 2.0503, + "step": 1255 + }, + { + "epoch": 1.27, + "learning_rate": 0.00016137491742795632, + "loss": 2.0314, + "step": 1260 + }, + { + "epoch": 1.28, + "learning_rate": 0.00016104812607797202, + "loss": 2.0495, + "step": 1265 + }, + { + "epoch": 1.28, + "learning_rate": 0.00016072029213275626, + "loss": 2.035, + "step": 1270 + }, + { + "epoch": 1.29, + "learning_rate": 0.00016039142119113957, + "loss": 2.0221, + "step": 1275 + }, + { + "epoch": 1.29, + "learning_rate": 0.00016006151886966248, + "loss": 2.0347, + "step": 1280 + }, + { + "epoch": 1.3, + "learning_rate": 0.0001597305908024797, + "loss": 2.0261, + "step": 1285 + }, + { + "epoch": 1.3, + "learning_rate": 0.00015939864264126393, + "loss": 2.0282, + "step": 1290 + }, + { + "epoch": 1.31, + "learning_rate": 0.00015906568005510919, + "loss": 2.0107, + "step": 1295 + }, + { + "epoch": 1.31, + "learning_rate": 0.00015873170873043413, + "loss": 2.0284, + "step": 1300 + }, + { + "epoch": 1.32, + "learning_rate": 0.00015839673437088498, + "loss": 2.015, + "step": 1305 + }, + { + "epoch": 1.32, + "learning_rate": 0.000158060762697238, + "loss": 2.0027, + "step": 1310 + }, + { + "epoch": 1.33, + "learning_rate": 0.0001577237994473018, + "loss": 2.0183, + "step": 1315 + }, + { + "epoch": 1.33, + "learning_rate": 0.0001573858503758194, + "loss": 2.0183, + "step": 1320 + }, + { + "epoch": 1.34, + "learning_rate": 0.0001570469212543699, + "loss": 2.012, + "step": 1325 + }, + { + "epoch": 1.34, + "learning_rate": 0.00015670701787127005, + "loss": 1.9962, + "step": 1330 + }, + { + "epoch": 1.35, + "learning_rate": 0.00015636614603147512, + "loss": 2.019, + "step": 1335 + }, + { + "epoch": 1.35, + "learning_rate": 0.00015602431155648007, + "loss": 2.0047, + "step": 1340 + }, + { + "epoch": 1.36, + "learning_rate": 0.00015568152028421988, + "loss": 2.0012, + "step": 1345 + }, + { + "epoch": 1.36, + "learning_rate": 0.00015533777806897003, + "loss": 1.9839, + "step": 1350 + }, + { + "epoch": 1.37, + "learning_rate": 0.00015499309078124645, + "loss": 1.9936, + "step": 1355 + }, + { + "epoch": 1.37, + "learning_rate": 0.00015464746430770516, + "loss": 1.9975, + "step": 1360 + }, + { + "epoch": 1.38, + "learning_rate": 0.0001543009045510419, + "loss": 2.0006, + "step": 1365 + }, + { + "epoch": 1.38, + "learning_rate": 0.00015395341742989124, + "loss": 2.0144, + "step": 1370 + }, + { + "epoch": 1.39, + "learning_rate": 0.00015360500887872557, + "loss": 1.9964, + "step": 1375 + }, + { + "epoch": 1.39, + "learning_rate": 0.00015325568484775358, + "loss": 1.9902, + "step": 1380 + }, + { + "epoch": 1.4, + "learning_rate": 0.00015290545130281885, + "loss": 2.0048, + "step": 1385 + }, + { + "epoch": 1.4, + "learning_rate": 0.0001525543142252978, + "loss": 2.0061, + "step": 1390 + }, + { + "epoch": 1.41, + "learning_rate": 0.00015220227961199766, + "loss": 1.9854, + "step": 1395 + }, + { + "epoch": 1.41, + "learning_rate": 0.000151849353475054, + "loss": 2.0033, + "step": 1400 + }, + { + "epoch": 1.42, + "learning_rate": 0.00015149554184182802, + "loss": 1.9844, + "step": 1405 + }, + { + "epoch": 1.42, + "learning_rate": 0.00015114085075480367, + "loss": 1.997, + "step": 1410 + }, + { + "epoch": 1.43, + "learning_rate": 0.0001507852862714844, + "loss": 1.9905, + "step": 1415 + }, + { + "epoch": 1.43, + "learning_rate": 0.0001504288544642898, + "loss": 2.0043, + "step": 1420 + }, + { + "epoch": 1.44, + "learning_rate": 0.00015007156142045176, + "loss": 1.9792, + "step": 1425 + }, + { + "epoch": 1.44, + "learning_rate": 0.00014971341324191068, + "loss": 2.0062, + "step": 1430 + }, + { + "epoch": 1.45, + "learning_rate": 0.0001493544160452111, + "loss": 1.9878, + "step": 1435 + }, + { + "epoch": 1.45, + "learning_rate": 0.00014899457596139729, + "loss": 1.9749, + "step": 1440 + }, + { + "epoch": 1.46, + "learning_rate": 0.00014863389913590864, + "loss": 1.98, + "step": 1445 + }, + { + "epoch": 1.46, + "learning_rate": 0.0001482723917284745, + "loss": 1.9756, + "step": 1450 + }, + { + "epoch": 1.47, + "learning_rate": 0.00014791005991300924, + "loss": 1.9749, + "step": 1455 + }, + { + "epoch": 1.47, + "learning_rate": 0.0001475469098775066, + "loss": 1.9647, + "step": 1460 + }, + { + "epoch": 1.48, + "learning_rate": 0.00014718294782393407, + "loss": 1.9799, + "step": 1465 + }, + { + "epoch": 1.48, + "learning_rate": 0.00014681817996812705, + "loss": 1.9697, + "step": 1470 + }, + { + "epoch": 1.49, + "learning_rate": 0.00014645261253968262, + "loss": 1.9613, + "step": 1475 + }, + { + "epoch": 1.49, + "learning_rate": 0.00014608625178185312, + "loss": 1.9812, + "step": 1480 + }, + { + "epoch": 1.5, + "learning_rate": 0.00014571910395143965, + "loss": 1.9796, + "step": 1485 + }, + { + "epoch": 1.5, + "learning_rate": 0.000145351175318685, + "loss": 1.9723, + "step": 1490 + }, + { + "epoch": 1.51, + "learning_rate": 0.00014498247216716682, + "loss": 1.9648, + "step": 1495 + }, + { + "epoch": 1.51, + "learning_rate": 0.00014461300079369013, + "loss": 1.9464, + "step": 1500 + }, + { + "epoch": 1.52, + "learning_rate": 0.00014424276750817986, + "loss": 1.9698, + "step": 1505 + }, + { + "epoch": 1.52, + "learning_rate": 0.00014387177863357307, + "loss": 1.9431, + "step": 1510 + }, + { + "epoch": 1.53, + "learning_rate": 0.00014350004050571092, + "loss": 1.9648, + "step": 1515 + }, + { + "epoch": 1.53, + "learning_rate": 0.00014312755947323052, + "loss": 1.9693, + "step": 1520 + }, + { + "epoch": 1.54, + "learning_rate": 0.0001427543418974566, + "loss": 1.9606, + "step": 1525 + }, + { + "epoch": 1.54, + "learning_rate": 0.0001423803941522925, + "loss": 1.9557, + "step": 1530 + }, + { + "epoch": 1.55, + "learning_rate": 0.00014200572262411192, + "loss": 1.9674, + "step": 1535 + }, + { + "epoch": 1.56, + "learning_rate": 0.00014163033371164917, + "loss": 1.9663, + "step": 1540 + }, + { + "epoch": 1.56, + "learning_rate": 0.00014125423382589048, + "loss": 1.9341, + "step": 1545 + }, + { + "epoch": 1.57, + "learning_rate": 0.00014087742938996418, + "loss": 1.9535, + "step": 1550 + }, + { + "epoch": 1.57, + "learning_rate": 0.00014049992683903104, + "loss": 1.9382, + "step": 1555 + }, + { + "epoch": 1.58, + "learning_rate": 0.00014012173262017443, + "loss": 1.9495, + "step": 1560 + }, + { + "epoch": 1.58, + "learning_rate": 0.00013974285319229025, + "loss": 1.9587, + "step": 1565 + }, + { + "epoch": 1.59, + "learning_rate": 0.0001393632950259765, + "loss": 1.9475, + "step": 1570 + }, + { + "epoch": 1.59, + "learning_rate": 0.00013898306460342295, + "loss": 1.96, + "step": 1575 + }, + { + "epoch": 1.6, + "learning_rate": 0.00013860216841830018, + "loss": 1.9517, + "step": 1580 + }, + { + "epoch": 1.6, + "learning_rate": 0.00013822061297564896, + "loss": 1.9415, + "step": 1585 + }, + { + "epoch": 1.61, + "learning_rate": 0.000137838404791769, + "loss": 1.9566, + "step": 1590 + }, + { + "epoch": 1.61, + "learning_rate": 0.00013745555039410763, + "loss": 1.9566, + "step": 1595 + }, + { + "epoch": 1.62, + "learning_rate": 0.00013707205632114842, + "loss": 1.942, + "step": 1600 + }, + { + "epoch": 1.62, + "learning_rate": 0.0001366879291222995, + "loss": 1.9478, + "step": 1605 + }, + { + "epoch": 1.63, + "learning_rate": 0.00013630317535778163, + "loss": 1.9668, + "step": 1610 + }, + { + "epoch": 1.63, + "learning_rate": 0.0001359178015985163, + "loss": 1.932, + "step": 1615 + }, + { + "epoch": 1.64, + "learning_rate": 0.00013553181442601327, + "loss": 1.964, + "step": 1620 + }, + { + "epoch": 1.64, + "learning_rate": 0.00013514522043225855, + "loss": 1.9471, + "step": 1625 + }, + { + "epoch": 1.65, + "learning_rate": 0.00013475802621960137, + "loss": 1.9414, + "step": 1630 + }, + { + "epoch": 1.65, + "learning_rate": 0.0001343702384006418, + "loss": 1.9402, + "step": 1635 + }, + { + "epoch": 1.66, + "learning_rate": 0.0001339818635981176, + "loss": 1.946, + "step": 1640 + }, + { + "epoch": 1.66, + "learning_rate": 0.00013359290844479118, + "loss": 1.943, + "step": 1645 + }, + { + "epoch": 1.67, + "learning_rate": 0.0001332033795833364, + "loss": 1.9344, + "step": 1650 + }, + { + "epoch": 1.67, + "learning_rate": 0.00013281328366622494, + "loss": 1.9268, + "step": 1655 + }, + { + "epoch": 1.68, + "learning_rate": 0.00013242262735561292, + "loss": 1.938, + "step": 1660 + }, + { + "epoch": 1.68, + "learning_rate": 0.00013203141732322693, + "loss": 1.9305, + "step": 1665 + }, + { + "epoch": 1.69, + "learning_rate": 0.0001316396602502501, + "loss": 1.9316, + "step": 1670 + }, + { + "epoch": 1.69, + "learning_rate": 0.00013124736282720822, + "loss": 1.9243, + "step": 1675 + }, + { + "epoch": 1.7, + "learning_rate": 0.00013085453175385513, + "loss": 1.9441, + "step": 1680 + }, + { + "epoch": 1.7, + "learning_rate": 0.00013046117373905866, + "loss": 1.9184, + "step": 1685 + }, + { + "epoch": 1.71, + "learning_rate": 0.0001300672955006857, + "loss": 1.9521, + "step": 1690 + }, + { + "epoch": 1.71, + "learning_rate": 0.00012967290376548782, + "loss": 1.927, + "step": 1695 + }, + { + "epoch": 1.72, + "learning_rate": 0.00012927800526898604, + "loss": 1.9317, + "step": 1700 + }, + { + "epoch": 1.72, + "learning_rate": 0.00012888260675535622, + "loss": 1.9251, + "step": 1705 + }, + { + "epoch": 1.73, + "learning_rate": 0.00012848671497731336, + "loss": 1.9138, + "step": 1710 + }, + { + "epoch": 1.73, + "learning_rate": 0.0001280903366959968, + "loss": 1.9152, + "step": 1715 + }, + { + "epoch": 1.74, + "learning_rate": 0.00012769347868085427, + "loss": 1.9302, + "step": 1720 + }, + { + "epoch": 1.74, + "learning_rate": 0.0001272961477095267, + "loss": 1.9222, + "step": 1725 + }, + { + "epoch": 1.75, + "learning_rate": 0.00012689835056773228, + "loss": 1.9256, + "step": 1730 + }, + { + "epoch": 1.75, + "learning_rate": 0.0001265000940491504, + "loss": 1.9017, + "step": 1735 + }, + { + "epoch": 1.76, + "learning_rate": 0.00012610138495530599, + "loss": 1.9096, + "step": 1740 + }, + { + "epoch": 1.76, + "learning_rate": 0.00012570223009545308, + "loss": 1.9122, + "step": 1745 + }, + { + "epoch": 1.77, + "learning_rate": 0.00012530263628645868, + "loss": 1.9296, + "step": 1750 + }, + { + "epoch": 1.77, + "learning_rate": 0.00012490261035268612, + "loss": 1.8998, + "step": 1755 + }, + { + "epoch": 1.78, + "learning_rate": 0.0001245021591258789, + "loss": 1.9104, + "step": 1760 + }, + { + "epoch": 1.78, + "learning_rate": 0.00012410128944504359, + "loss": 1.9083, + "step": 1765 + }, + { + "epoch": 1.79, + "learning_rate": 0.00012370000815633327, + "loss": 1.918, + "step": 1770 + }, + { + "epoch": 1.79, + "learning_rate": 0.00012329832211293069, + "loss": 1.8937, + "step": 1775 + }, + { + "epoch": 1.8, + "learning_rate": 0.00012289623817493087, + "loss": 1.912, + "step": 1780 + }, + { + "epoch": 1.8, + "learning_rate": 0.00012249376320922436, + "loss": 1.9008, + "step": 1785 + }, + { + "epoch": 1.81, + "learning_rate": 0.00012209090408937971, + "loss": 1.9204, + "step": 1790 + }, + { + "epoch": 1.81, + "learning_rate": 0.00012168766769552614, + "loss": 1.9103, + "step": 1795 + }, + { + "epoch": 1.82, + "learning_rate": 0.00012128406091423614, + "loss": 1.8958, + "step": 1800 + }, + { + "epoch": 1.82, + "learning_rate": 0.00012088009063840762, + "loss": 1.8986, + "step": 1805 + }, + { + "epoch": 1.83, + "learning_rate": 0.00012047576376714647, + "loss": 1.8898, + "step": 1810 + }, + { + "epoch": 1.83, + "learning_rate": 0.00012007108720564853, + "loss": 1.9027, + "step": 1815 + }, + { + "epoch": 1.84, + "learning_rate": 0.00011966606786508182, + "loss": 1.905, + "step": 1820 + }, + { + "epoch": 1.84, + "learning_rate": 0.00011926071266246826, + "loss": 1.9051, + "step": 1825 + }, + { + "epoch": 1.85, + "learning_rate": 0.00011885502852056594, + "loss": 1.9067, + "step": 1830 + }, + { + "epoch": 1.85, + "learning_rate": 0.00011844902236775044, + "loss": 1.8823, + "step": 1835 + }, + { + "epoch": 1.86, + "learning_rate": 0.0001180427011378969, + "loss": 1.8949, + "step": 1840 + }, + { + "epoch": 1.86, + "learning_rate": 0.00011763607177026131, + "loss": 1.8945, + "step": 1845 + }, + { + "epoch": 1.87, + "learning_rate": 0.0001172291412093621, + "loss": 1.9152, + "step": 1850 + }, + { + "epoch": 1.87, + "learning_rate": 0.00011682191640486169, + "loss": 1.8951, + "step": 1855 + }, + { + "epoch": 1.88, + "learning_rate": 0.0001164144043114475, + "loss": 1.9003, + "step": 1860 + }, + { + "epoch": 1.88, + "learning_rate": 0.00011600661188871354, + "loss": 1.8892, + "step": 1865 + }, + { + "epoch": 1.89, + "learning_rate": 0.00011559854610104106, + "loss": 1.8922, + "step": 1870 + }, + { + "epoch": 1.89, + "learning_rate": 0.00011519021391748023, + "loss": 1.9047, + "step": 1875 + }, + { + "epoch": 1.9, + "learning_rate": 0.00011478162231163061, + "loss": 1.8902, + "step": 1880 + }, + { + "epoch": 1.9, + "learning_rate": 0.00011437277826152224, + "loss": 1.8895, + "step": 1885 + }, + { + "epoch": 1.91, + "learning_rate": 0.00011396368874949652, + "loss": 1.8839, + "step": 1890 + }, + { + "epoch": 1.91, + "learning_rate": 0.00011355436076208687, + "loss": 1.8859, + "step": 1895 + }, + { + "epoch": 1.92, + "learning_rate": 0.00011314480128989953, + "loss": 1.8897, + "step": 1900 + }, + { + "epoch": 1.92, + "learning_rate": 0.00011273501732749398, + "loss": 1.882, + "step": 1905 + }, + { + "epoch": 1.93, + "learning_rate": 0.00011232501587326374, + "loss": 1.8906, + "step": 1910 + }, + { + "epoch": 1.93, + "learning_rate": 0.00011191480392931655, + "loss": 1.8743, + "step": 1915 + }, + { + "epoch": 1.94, + "learning_rate": 0.00011150438850135508, + "loss": 1.8777, + "step": 1920 + }, + { + "epoch": 1.94, + "learning_rate": 0.00011109377659855707, + "loss": 1.882, + "step": 1925 + }, + { + "epoch": 1.95, + "learning_rate": 0.00011068297523345573, + "loss": 1.8653, + "step": 1930 + }, + { + "epoch": 1.95, + "learning_rate": 0.00011027199142181998, + "loss": 1.884, + "step": 1935 + }, + { + "epoch": 1.96, + "learning_rate": 0.00010986083218253456, + "loss": 1.892, + "step": 1940 + }, + { + "epoch": 1.96, + "learning_rate": 0.00010944950453748029, + "loss": 1.871, + "step": 1945 + }, + { + "epoch": 1.97, + "learning_rate": 0.00010903801551141395, + "loss": 1.8827, + "step": 1950 + }, + { + "epoch": 1.97, + "learning_rate": 0.00010862637213184852, + "loss": 1.8757, + "step": 1955 + }, + { + "epoch": 1.98, + "learning_rate": 0.00010821458142893301, + "loss": 1.8614, + "step": 1960 + }, + { + "epoch": 1.98, + "learning_rate": 0.0001078026504353325, + "loss": 1.8783, + "step": 1965 + }, + { + "epoch": 1.99, + "learning_rate": 0.00010739058618610798, + "loss": 1.8757, + "step": 1970 + }, + { + "epoch": 1.99, + "learning_rate": 0.00010697839571859616, + "loss": 1.8664, + "step": 1975 + }, + { + "epoch": 2.0, + "learning_rate": 0.00010656608607228941, + "loss": 1.856, + "step": 1980 + }, + { + "epoch": 2.0, + "eval_loss": 1.82151198387146, + "eval_runtime": 106.7172, + "eval_samples_per_second": 124.807, + "eval_steps_per_second": 15.602, + "step": 1980 + }, + { + "epoch": 2.01, + "learning_rate": 0.00010615366428871542, + "loss": 2.1449, + "step": 1985 + }, + { + "epoch": 2.01, + "learning_rate": 0.00010574113741131704, + "loss": 1.7986, + "step": 1990 + }, + { + "epoch": 2.02, + "learning_rate": 0.00010532851248533186, + "loss": 1.7705, + "step": 1995 + }, + { + "epoch": 2.02, + "learning_rate": 0.00010491579655767203, + "loss": 1.7827, + "step": 2000 + }, + { + "epoch": 2.03, + "learning_rate": 0.00010450299667680382, + "loss": 1.8033, + "step": 2005 + }, + { + "epoch": 2.03, + "learning_rate": 0.00010409011989262725, + "loss": 1.7888, + "step": 2010 + }, + { + "epoch": 2.04, + "learning_rate": 0.00010367717325635583, + "loss": 1.775, + "step": 2015 + }, + { + "epoch": 2.04, + "learning_rate": 0.00010326416382039588, + "loss": 1.7692, + "step": 2020 + }, + { + "epoch": 2.05, + "learning_rate": 0.00010285109863822631, + "loss": 1.7874, + "step": 2025 + }, + { + "epoch": 2.05, + "learning_rate": 0.00010243798476427801, + "loss": 1.7889, + "step": 2030 + }, + { + "epoch": 2.06, + "learning_rate": 0.00010202482925381358, + "loss": 1.7943, + "step": 2035 + }, + { + "epoch": 2.06, + "learning_rate": 0.00010161163916280654, + "loss": 1.7865, + "step": 2040 + }, + { + "epoch": 2.07, + "learning_rate": 0.00010119842154782104, + "loss": 1.7823, + "step": 2045 + }, + { + "epoch": 2.07, + "learning_rate": 0.00010078518346589134, + "loss": 1.7958, + "step": 2050 + }, + { + "epoch": 2.08, + "learning_rate": 0.00010037193197440118, + "loss": 1.7666, + "step": 2055 + }, + { + "epoch": 2.08, + "learning_rate": 9.995867413096333e-05, + "loss": 1.7981, + "step": 2060 + }, + { + "epoch": 2.09, + "learning_rate": 9.954541699329904e-05, + "loss": 1.7924, + "step": 2065 + }, + { + "epoch": 2.09, + "learning_rate": 9.913216761911755e-05, + "loss": 1.7811, + "step": 2070 + }, + { + "epoch": 2.1, + "learning_rate": 9.871893306599545e-05, + "loss": 1.7969, + "step": 2075 + }, + { + "epoch": 2.1, + "learning_rate": 9.830572039125623e-05, + "loss": 1.7927, + "step": 2080 + }, + { + "epoch": 2.11, + "learning_rate": 9.789253665184971e-05, + "loss": 1.7776, + "step": 2085 + }, + { + "epoch": 2.11, + "learning_rate": 9.747938890423163e-05, + "loss": 1.7733, + "step": 2090 + }, + { + "epoch": 2.12, + "learning_rate": 9.706628420424298e-05, + "loss": 1.7968, + "step": 2095 + }, + { + "epoch": 2.12, + "learning_rate": 9.665322960698957e-05, + "loss": 1.79, + "step": 2100 + }, + { + "epoch": 2.13, + "learning_rate": 9.624023216672161e-05, + "loss": 1.7775, + "step": 2105 + }, + { + "epoch": 2.13, + "learning_rate": 9.58272989367131e-05, + "loss": 1.777, + "step": 2110 + }, + { + "epoch": 2.14, + "learning_rate": 9.541443696914142e-05, + "loss": 1.7659, + "step": 2115 + }, + { + "epoch": 2.14, + "learning_rate": 9.500165331496705e-05, + "loss": 1.792, + "step": 2120 + }, + { + "epoch": 2.15, + "learning_rate": 9.458895502381284e-05, + "loss": 1.7792, + "step": 2125 + }, + { + "epoch": 2.15, + "learning_rate": 9.41763491438439e-05, + "loss": 1.7761, + "step": 2130 + }, + { + "epoch": 2.16, + "learning_rate": 9.376384272164707e-05, + "loss": 1.7733, + "step": 2135 + }, + { + "epoch": 2.16, + "learning_rate": 9.335144280211066e-05, + "loss": 1.7803, + "step": 2140 + }, + { + "epoch": 2.17, + "learning_rate": 9.293915642830407e-05, + "loss": 1.7798, + "step": 2145 + }, + { + "epoch": 2.17, + "learning_rate": 9.252699064135758e-05, + "loss": 1.7952, + "step": 2150 + }, + { + "epoch": 2.18, + "learning_rate": 9.211495248034201e-05, + "loss": 1.7811, + "step": 2155 + }, + { + "epoch": 2.18, + "learning_rate": 9.170304898214854e-05, + "loss": 1.7879, + "step": 2160 + }, + { + "epoch": 2.19, + "learning_rate": 9.129128718136867e-05, + "loss": 1.7709, + "step": 2165 + }, + { + "epoch": 2.19, + "learning_rate": 9.087967411017375e-05, + "loss": 1.7762, + "step": 2170 + }, + { + "epoch": 2.2, + "learning_rate": 9.046821679819527e-05, + "loss": 1.7718, + "step": 2175 + }, + { + "epoch": 2.2, + "learning_rate": 9.00569222724045e-05, + "loss": 1.7775, + "step": 2180 + }, + { + "epoch": 2.21, + "learning_rate": 8.964579755699271e-05, + "loss": 1.78, + "step": 2185 + }, + { + "epoch": 2.21, + "learning_rate": 8.923484967325104e-05, + "loss": 1.7741, + "step": 2190 + }, + { + "epoch": 2.22, + "learning_rate": 8.882408563945067e-05, + "loss": 1.7617, + "step": 2195 + }, + { + "epoch": 2.22, + "learning_rate": 8.841351247072296e-05, + "loss": 1.774, + "step": 2200 + }, + { + "epoch": 2.23, + "learning_rate": 8.800313717893957e-05, + "loss": 1.7651, + "step": 2205 + }, + { + "epoch": 2.23, + "learning_rate": 8.759296677259291e-05, + "loss": 1.7654, + "step": 2210 + }, + { + "epoch": 2.24, + "learning_rate": 8.718300825667611e-05, + "loss": 1.7775, + "step": 2215 + }, + { + "epoch": 2.24, + "learning_rate": 8.677326863256372e-05, + "loss": 1.7896, + "step": 2220 + }, + { + "epoch": 2.25, + "learning_rate": 8.636375489789192e-05, + "loss": 1.7585, + "step": 2225 + }, + { + "epoch": 2.25, + "learning_rate": 8.59544740464392e-05, + "loss": 1.7678, + "step": 2230 + }, + { + "epoch": 2.26, + "learning_rate": 8.554543306800668e-05, + "loss": 1.759, + "step": 2235 + }, + { + "epoch": 2.26, + "learning_rate": 8.513663894829898e-05, + "loss": 1.7755, + "step": 2240 + }, + { + "epoch": 2.27, + "learning_rate": 8.472809866880475e-05, + "loss": 1.7686, + "step": 2245 + }, + { + "epoch": 2.27, + "learning_rate": 8.431981920667749e-05, + "loss": 1.7535, + "step": 2250 + }, + { + "epoch": 2.28, + "learning_rate": 8.391180753461645e-05, + "loss": 1.7704, + "step": 2255 + }, + { + "epoch": 2.28, + "learning_rate": 8.350407062074739e-05, + "loss": 1.774, + "step": 2260 + }, + { + "epoch": 2.29, + "learning_rate": 8.309661542850375e-05, + "loss": 1.7705, + "step": 2265 + }, + { + "epoch": 2.29, + "learning_rate": 8.268944891650767e-05, + "loss": 1.7469, + "step": 2270 + }, + { + "epoch": 2.3, + "learning_rate": 8.228257803845113e-05, + "loss": 1.7598, + "step": 2275 + }, + { + "epoch": 2.3, + "learning_rate": 8.187600974297714e-05, + "loss": 1.7683, + "step": 2280 + }, + { + "epoch": 2.31, + "learning_rate": 8.146975097356117e-05, + "loss": 1.7595, + "step": 2285 + }, + { + "epoch": 2.31, + "learning_rate": 8.10638086683926e-05, + "loss": 1.7602, + "step": 2290 + }, + { + "epoch": 2.32, + "learning_rate": 8.065818976025606e-05, + "loss": 1.7545, + "step": 2295 + }, + { + "epoch": 2.32, + "learning_rate": 8.02529011764131e-05, + "loss": 1.7785, + "step": 2300 + }, + { + "epoch": 2.33, + "learning_rate": 7.984794983848399e-05, + "loss": 1.7672, + "step": 2305 + }, + { + "epoch": 2.33, + "learning_rate": 7.944334266232938e-05, + "loss": 1.7786, + "step": 2310 + }, + { + "epoch": 2.34, + "learning_rate": 7.903908655793224e-05, + "loss": 1.7594, + "step": 2315 + }, + { + "epoch": 2.34, + "learning_rate": 7.863518842927993e-05, + "loss": 1.7517, + "step": 2320 + }, + { + "epoch": 2.35, + "learning_rate": 7.823165517424609e-05, + "loss": 1.7723, + "step": 2325 + }, + { + "epoch": 2.35, + "learning_rate": 7.782849368447301e-05, + "loss": 1.7713, + "step": 2330 + }, + { + "epoch": 2.36, + "learning_rate": 7.74257108452539e-05, + "loss": 1.7536, + "step": 2335 + }, + { + "epoch": 2.36, + "learning_rate": 7.702331353541529e-05, + "loss": 1.7412, + "step": 2340 + }, + { + "epoch": 2.37, + "learning_rate": 7.662130862719944e-05, + "loss": 1.7424, + "step": 2345 + }, + { + "epoch": 2.37, + "learning_rate": 7.621970298614717e-05, + "loss": 1.7537, + "step": 2350 + }, + { + "epoch": 2.38, + "learning_rate": 7.581850347098052e-05, + "loss": 1.7487, + "step": 2355 + }, + { + "epoch": 2.38, + "learning_rate": 7.541771693348556e-05, + "loss": 1.777, + "step": 2360 + }, + { + "epoch": 2.39, + "learning_rate": 7.501735021839549e-05, + "loss": 1.7651, + "step": 2365 + }, + { + "epoch": 2.39, + "learning_rate": 7.461741016327359e-05, + "loss": 1.7729, + "step": 2370 + }, + { + "epoch": 2.4, + "learning_rate": 7.421790359839657e-05, + "loss": 1.7481, + "step": 2375 + }, + { + "epoch": 2.4, + "learning_rate": 7.381883734663797e-05, + "loss": 1.7398, + "step": 2380 + }, + { + "epoch": 2.41, + "learning_rate": 7.342021822335143e-05, + "loss": 1.7416, + "step": 2385 + }, + { + "epoch": 2.41, + "learning_rate": 7.302205303625444e-05, + "loss": 1.7398, + "step": 2390 + }, + { + "epoch": 2.42, + "learning_rate": 7.262434858531208e-05, + "loss": 1.7459, + "step": 2395 + }, + { + "epoch": 2.42, + "learning_rate": 7.222711166262089e-05, + "loss": 1.7491, + "step": 2400 + }, + { + "epoch": 2.43, + "learning_rate": 7.183034905229279e-05, + "loss": 1.7654, + "step": 2405 + }, + { + "epoch": 2.43, + "learning_rate": 7.143406753033933e-05, + "loss": 1.7568, + "step": 2410 + }, + { + "epoch": 2.44, + "learning_rate": 7.103827386455586e-05, + "loss": 1.7451, + "step": 2415 + }, + { + "epoch": 2.44, + "learning_rate": 7.0642974814406e-05, + "loss": 1.7537, + "step": 2420 + }, + { + "epoch": 2.45, + "learning_rate": 7.024817713090628e-05, + "loss": 1.7355, + "step": 2425 + }, + { + "epoch": 2.45, + "learning_rate": 6.985388755651069e-05, + "loss": 1.7415, + "step": 2430 + }, + { + "epoch": 2.46, + "learning_rate": 6.946011282499558e-05, + "loss": 1.73, + "step": 2435 + }, + { + "epoch": 2.46, + "learning_rate": 6.90668596613447e-05, + "loss": 1.7344, + "step": 2440 + }, + { + "epoch": 2.47, + "learning_rate": 6.867413478163445e-05, + "loss": 1.7402, + "step": 2445 + }, + { + "epoch": 2.47, + "learning_rate": 6.82819448929189e-05, + "loss": 1.7299, + "step": 2450 + }, + { + "epoch": 2.48, + "learning_rate": 6.789029669311551e-05, + "loss": 1.7505, + "step": 2455 + }, + { + "epoch": 2.48, + "learning_rate": 6.74991968708906e-05, + "loss": 1.7365, + "step": 2460 + }, + { + "epoch": 2.49, + "learning_rate": 6.710865210554518e-05, + "loss": 1.7553, + "step": 2465 + }, + { + "epoch": 2.49, + "learning_rate": 6.671866906690085e-05, + "loss": 1.7333, + "step": 2470 + }, + { + "epoch": 2.5, + "learning_rate": 6.632925441518593e-05, + "loss": 1.7383, + "step": 2475 + }, + { + "epoch": 2.5, + "learning_rate": 6.59404148009216e-05, + "loss": 1.7512, + "step": 2480 + }, + { + "epoch": 2.51, + "learning_rate": 6.555215686480847e-05, + "loss": 1.7351, + "step": 2485 + }, + { + "epoch": 2.51, + "learning_rate": 6.516448723761315e-05, + "loss": 1.7418, + "step": 2490 + }, + { + "epoch": 2.52, + "learning_rate": 6.477741254005484e-05, + "loss": 1.7204, + "step": 2495 + }, + { + "epoch": 2.52, + "learning_rate": 6.43909393826925e-05, + "loss": 1.7271, + "step": 2500 + }, + { + "epoch": 2.53, + "learning_rate": 6.400507436581178e-05, + "loss": 1.7325, + "step": 2505 + }, + { + "epoch": 2.53, + "learning_rate": 6.361982407931233e-05, + "loss": 1.7285, + "step": 2510 + }, + { + "epoch": 2.54, + "learning_rate": 6.323519510259535e-05, + "loss": 1.7424, + "step": 2515 + }, + { + "epoch": 2.54, + "learning_rate": 6.285119400445112e-05, + "loss": 1.7481, + "step": 2520 + }, + { + "epoch": 2.55, + "learning_rate": 6.246782734294683e-05, + "loss": 1.7494, + "step": 2525 + }, + { + "epoch": 2.56, + "learning_rate": 6.208510166531458e-05, + "loss": 1.7261, + "step": 2530 + }, + { + "epoch": 2.56, + "learning_rate": 6.170302350783969e-05, + "loss": 1.7314, + "step": 2535 + }, + { + "epoch": 2.57, + "learning_rate": 6.132159939574889e-05, + "loss": 1.7328, + "step": 2540 + }, + { + "epoch": 2.57, + "learning_rate": 6.094083584309893e-05, + "loss": 1.747, + "step": 2545 + }, + { + "epoch": 2.58, + "learning_rate": 6.056073935266547e-05, + "loss": 1.7404, + "step": 2550 + }, + { + "epoch": 2.58, + "learning_rate": 6.01813164158318e-05, + "loss": 1.7293, + "step": 2555 + }, + { + "epoch": 2.59, + "learning_rate": 5.980257351247818e-05, + "loss": 1.7255, + "step": 2560 + }, + { + "epoch": 2.59, + "learning_rate": 5.942451711087102e-05, + "loss": 1.737, + "step": 2565 + }, + { + "epoch": 2.6, + "learning_rate": 5.904715366755251e-05, + "loss": 1.7361, + "step": 2570 + }, + { + "epoch": 2.6, + "learning_rate": 5.867048962723029e-05, + "loss": 1.7338, + "step": 2575 + }, + { + "epoch": 2.61, + "learning_rate": 5.8294531422667544e-05, + "loss": 1.7351, + "step": 2580 + }, + { + "epoch": 2.61, + "learning_rate": 5.791928547457279e-05, + "loss": 1.7371, + "step": 2585 + }, + { + "epoch": 2.62, + "learning_rate": 5.754475819149072e-05, + "loss": 1.7261, + "step": 2590 + }, + { + "epoch": 2.62, + "learning_rate": 5.7170955969692265e-05, + "loss": 1.7324, + "step": 2595 + }, + { + "epoch": 2.63, + "learning_rate": 5.67978851930657e-05, + "loss": 1.7284, + "step": 2600 + }, + { + "epoch": 2.63, + "learning_rate": 5.6425552233007454e-05, + "loss": 1.7296, + "step": 2605 + }, + { + "epoch": 2.64, + "learning_rate": 5.605396344831331e-05, + "loss": 1.723, + "step": 2610 + }, + { + "epoch": 2.64, + "learning_rate": 5.5683125185069906e-05, + "loss": 1.7224, + "step": 2615 + }, + { + "epoch": 2.65, + "learning_rate": 5.531304377654623e-05, + "loss": 1.717, + "step": 2620 + }, + { + "epoch": 2.65, + "learning_rate": 5.4943725543085544e-05, + "loss": 1.739, + "step": 2625 + }, + { + "epoch": 2.66, + "learning_rate": 5.457517679199736e-05, + "loss": 1.7183, + "step": 2630 + }, + { + "epoch": 2.66, + "learning_rate": 5.420740381744991e-05, + "loss": 1.7357, + "step": 2635 + }, + { + "epoch": 2.67, + "learning_rate": 5.384041290036239e-05, + "loss": 1.7197, + "step": 2640 + }, + { + "epoch": 2.67, + "learning_rate": 5.3474210308297846e-05, + "loss": 1.715, + "step": 2645 + }, + { + "epoch": 2.68, + "learning_rate": 5.3108802295356155e-05, + "loss": 1.7214, + "step": 2650 + }, + { + "epoch": 2.68, + "learning_rate": 5.2744195102067127e-05, + "loss": 1.7103, + "step": 2655 + }, + { + "epoch": 2.69, + "learning_rate": 5.2380394955283996e-05, + "loss": 1.7168, + "step": 2660 + }, + { + "epoch": 2.69, + "learning_rate": 5.2017408068077064e-05, + "loss": 1.7367, + "step": 2665 + }, + { + "epoch": 2.7, + "learning_rate": 5.1655240639627554e-05, + "loss": 1.728, + "step": 2670 + }, + { + "epoch": 2.7, + "learning_rate": 5.129389885512175e-05, + "loss": 1.736, + "step": 2675 + }, + { + "epoch": 2.71, + "learning_rate": 5.093338888564546e-05, + "loss": 1.7134, + "step": 2680 + }, + { + "epoch": 2.71, + "learning_rate": 5.0573716888078494e-05, + "loss": 1.7038, + "step": 2685 + }, + { + "epoch": 2.72, + "learning_rate": 5.021488900498954e-05, + "loss": 1.7214, + "step": 2690 + }, + { + "epoch": 2.72, + "learning_rate": 4.9856911364531346e-05, + "loss": 1.7163, + "step": 2695 + }, + { + "epoch": 2.73, + "learning_rate": 4.949979008033596e-05, + "loss": 1.7192, + "step": 2700 + }, + { + "epoch": 2.73, + "learning_rate": 4.914353125141037e-05, + "loss": 1.7015, + "step": 2705 + }, + { + "epoch": 2.74, + "learning_rate": 4.8788140962032345e-05, + "loss": 1.7358, + "step": 2710 + }, + { + "epoch": 2.74, + "learning_rate": 4.8433625281646524e-05, + "loss": 1.7355, + "step": 2715 + }, + { + "epoch": 2.75, + "learning_rate": 4.8079990264760686e-05, + "loss": 1.7125, + "step": 2720 + }, + { + "epoch": 2.75, + "learning_rate": 4.7727241950842586e-05, + "loss": 1.7052, + "step": 2725 + }, + { + "epoch": 2.76, + "learning_rate": 4.7375386364216465e-05, + "loss": 1.7299, + "step": 2730 + }, + { + "epoch": 2.76, + "learning_rate": 4.7024429513960425e-05, + "loss": 1.7245, + "step": 2735 + }, + { + "epoch": 2.77, + "learning_rate": 4.6674377393803715e-05, + "loss": 1.7031, + "step": 2740 + }, + { + "epoch": 2.77, + "learning_rate": 4.632523598202435e-05, + "loss": 1.7232, + "step": 2745 + }, + { + "epoch": 2.78, + "learning_rate": 4.597701124134708e-05, + "loss": 1.7184, + "step": 2750 + }, + { + "epoch": 2.78, + "learning_rate": 4.562970911884148e-05, + "loss": 1.7215, + "step": 2755 + }, + { + "epoch": 2.79, + "learning_rate": 4.528333554582044e-05, + "loss": 1.7049, + "step": 2760 + }, + { + "epoch": 2.79, + "learning_rate": 4.493789643773881e-05, + "loss": 1.7042, + "step": 2765 + }, + { + "epoch": 2.8, + "learning_rate": 4.459339769409252e-05, + "loss": 1.7046, + "step": 2770 + }, + { + "epoch": 2.8, + "learning_rate": 4.4249845198317593e-05, + "loss": 1.717, + "step": 2775 + }, + { + "epoch": 2.81, + "learning_rate": 4.3907244817689875e-05, + "loss": 1.7095, + "step": 2780 + }, + { + "epoch": 2.81, + "learning_rate": 4.3565602403224695e-05, + "loss": 1.7151, + "step": 2785 + }, + { + "epoch": 2.82, + "learning_rate": 4.3224923789577045e-05, + "loss": 1.6841, + "step": 2790 + }, + { + "epoch": 2.82, + "learning_rate": 4.288521479494183e-05, + "loss": 1.7101, + "step": 2795 + }, + { + "epoch": 2.83, + "learning_rate": 4.254648122095463e-05, + "loss": 1.7028, + "step": 2800 + }, + { + "epoch": 2.83, + "learning_rate": 4.220872885259247e-05, + "loss": 1.7006, + "step": 2805 + }, + { + "epoch": 2.84, + "learning_rate": 4.187196345807511e-05, + "loss": 1.717, + "step": 2810 + }, + { + "epoch": 2.84, + "learning_rate": 4.153619078876664e-05, + "loss": 1.7117, + "step": 2815 + }, + { + "epoch": 2.85, + "learning_rate": 4.120141657907698e-05, + "loss": 1.7073, + "step": 2820 + }, + { + "epoch": 2.85, + "learning_rate": 4.086764654636419e-05, + "loss": 1.6958, + "step": 2825 + }, + { + "epoch": 2.86, + "learning_rate": 4.0534886390836715e-05, + "loss": 1.7087, + "step": 2830 + }, + { + "epoch": 2.86, + "learning_rate": 4.020314179545609e-05, + "loss": 1.7078, + "step": 2835 + }, + { + "epoch": 2.87, + "learning_rate": 3.987241842583983e-05, + "loss": 1.69, + "step": 2840 + }, + { + "epoch": 2.87, + "learning_rate": 3.9542721930164726e-05, + "loss": 1.7025, + "step": 2845 + }, + { + "epoch": 2.88, + "learning_rate": 3.9214057939070324e-05, + "loss": 1.6981, + "step": 2850 + }, + { + "epoch": 2.88, + "learning_rate": 3.888643206556285e-05, + "loss": 1.7104, + "step": 2855 + }, + { + "epoch": 2.89, + "learning_rate": 3.8559849904919196e-05, + "loss": 1.7035, + "step": 2860 + }, + { + "epoch": 2.89, + "learning_rate": 3.823431703459164e-05, + "loss": 1.6963, + "step": 2865 + }, + { + "epoch": 2.9, + "learning_rate": 3.790983901411225e-05, + "loss": 1.728, + "step": 2870 + }, + { + "epoch": 2.9, + "learning_rate": 3.758642138499819e-05, + "loss": 1.702, + "step": 2875 + }, + { + "epoch": 2.91, + "learning_rate": 3.7264069670656886e-05, + "loss": 1.7027, + "step": 2880 + }, + { + "epoch": 2.91, + "learning_rate": 3.694278937629197e-05, + "loss": 1.7041, + "step": 2885 + }, + { + "epoch": 2.92, + "learning_rate": 3.6622585988809e-05, + "loss": 1.6936, + "step": 2890 + }, + { + "epoch": 2.92, + "learning_rate": 3.6303464976721834e-05, + "loss": 1.711, + "step": 2895 + }, + { + "epoch": 2.93, + "learning_rate": 3.5985431790059276e-05, + "loss": 1.6902, + "step": 2900 + }, + { + "epoch": 2.93, + "learning_rate": 3.5668491860271945e-05, + "loss": 1.6984, + "step": 2905 + }, + { + "epoch": 2.94, + "learning_rate": 3.535265060013965e-05, + "loss": 1.7125, + "step": 2910 + }, + { + "epoch": 2.94, + "learning_rate": 3.50379134036787e-05, + "loss": 1.7151, + "step": 2915 + }, + { + "epoch": 2.95, + "learning_rate": 3.472428564605006e-05, + "loss": 1.7007, + "step": 2920 + }, + { + "epoch": 2.95, + "learning_rate": 3.441177268346724e-05, + "loss": 1.6791, + "step": 2925 + }, + { + "epoch": 2.96, + "learning_rate": 3.41003798531052e-05, + "loss": 1.6978, + "step": 2930 + }, + { + "epoch": 2.96, + "learning_rate": 3.379011247300889e-05, + "loss": 1.6956, + "step": 2935 + }, + { + "epoch": 2.97, + "learning_rate": 3.348097584200258e-05, + "loss": 1.6897, + "step": 2940 + }, + { + "epoch": 2.97, + "learning_rate": 3.317297523959927e-05, + "loss": 1.7143, + "step": 2945 + }, + { + "epoch": 2.98, + "learning_rate": 3.2866115925910615e-05, + "loss": 1.6969, + "step": 2950 + }, + { + "epoch": 2.98, + "learning_rate": 3.2560403141557084e-05, + "loss": 1.6883, + "step": 2955 + }, + { + "epoch": 2.99, + "learning_rate": 3.225584210757838e-05, + "loss": 1.6873, + "step": 2960 + }, + { + "epoch": 2.99, + "learning_rate": 3.195243802534438e-05, + "loss": 1.701, + "step": 2965 + }, + { + "epoch": 3.0, + "learning_rate": 3.165019607646611e-05, + "loss": 1.6864, + "step": 2970 + }, + { + "epoch": 3.0, + "eval_loss": 1.6935465335845947, + "eval_runtime": 113.7484, + "eval_samples_per_second": 117.092, + "eval_steps_per_second": 14.638, + "step": 2970 + }, + { + "epoch": 3.01, + "learning_rate": 3.134912142270757e-05, + "loss": 1.9367, + "step": 2975 + }, + { + "epoch": 3.01, + "learning_rate": 3.104921920589733e-05, + "loss": 1.6312, + "step": 2980 + }, + { + "epoch": 3.02, + "learning_rate": 3.075049454784074e-05, + "loss": 1.6483, + "step": 2985 + }, + { + "epoch": 3.02, + "learning_rate": 3.0452952550232562e-05, + "loss": 1.6396, + "step": 2990 + }, + { + "epoch": 3.03, + "learning_rate": 3.0156598294569727e-05, + "loss": 1.6366, + "step": 2995 + }, + { + "epoch": 3.03, + "learning_rate": 2.9861436842064727e-05, + "loss": 1.642, + "step": 3000 + }, + { + "epoch": 3.04, + "learning_rate": 2.956747323355895e-05, + "loss": 1.6344, + "step": 3005 + }, + { + "epoch": 3.04, + "learning_rate": 2.9274712489436785e-05, + "loss": 1.6359, + "step": 3010 + }, + { + "epoch": 3.05, + "learning_rate": 2.8983159609539635e-05, + "loss": 1.6309, + "step": 3015 + }, + { + "epoch": 3.05, + "learning_rate": 2.8692819573080943e-05, + "loss": 1.6433, + "step": 3020 + }, + { + "epoch": 3.06, + "learning_rate": 2.840369733856072e-05, + "loss": 1.6478, + "step": 3025 + }, + { + "epoch": 3.06, + "learning_rate": 2.8115797843681124e-05, + "loss": 1.6372, + "step": 3030 + }, + { + "epoch": 3.07, + "learning_rate": 2.7829126005262042e-05, + "loss": 1.638, + "step": 3035 + }, + { + "epoch": 3.07, + "learning_rate": 2.7543686719157102e-05, + "loss": 1.6308, + "step": 3040 + }, + { + "epoch": 3.08, + "learning_rate": 2.7259484860170203e-05, + "loss": 1.6396, + "step": 3045 + }, + { + "epoch": 3.08, + "learning_rate": 2.6976525281972078e-05, + "loss": 1.6514, + "step": 3050 + }, + { + "epoch": 3.09, + "learning_rate": 2.669481281701739e-05, + "loss": 1.6459, + "step": 3055 + }, + { + "epoch": 3.09, + "learning_rate": 2.6414352276462417e-05, + "loss": 1.6357, + "step": 3060 + }, + { + "epoch": 3.1, + "learning_rate": 2.613514845008275e-05, + "loss": 1.6362, + "step": 3065 + }, + { + "epoch": 3.1, + "learning_rate": 2.5857206106191447e-05, + "loss": 1.6355, + "step": 3070 + }, + { + "epoch": 3.11, + "learning_rate": 2.558052999155768e-05, + "loss": 1.6385, + "step": 3075 + }, + { + "epoch": 3.11, + "learning_rate": 2.530512483132561e-05, + "loss": 1.6521, + "step": 3080 + }, + { + "epoch": 3.12, + "learning_rate": 2.5030995328933726e-05, + "loss": 1.629, + "step": 3085 + }, + { + "epoch": 3.12, + "learning_rate": 2.475814616603458e-05, + "loss": 1.6398, + "step": 3090 + }, + { + "epoch": 3.13, + "learning_rate": 2.4486582002414716e-05, + "loss": 1.6354, + "step": 3095 + }, + { + "epoch": 3.13, + "learning_rate": 2.4216307475915066e-05, + "loss": 1.6431, + "step": 3100 + }, + { + "epoch": 3.14, + "learning_rate": 2.394732720235189e-05, + "loss": 1.6334, + "step": 3105 + }, + { + "epoch": 3.14, + "learning_rate": 2.367964577543792e-05, + "loss": 1.6276, + "step": 3110 + }, + { + "epoch": 3.15, + "learning_rate": 2.3413267766703773e-05, + "loss": 1.6438, + "step": 3115 + }, + { + "epoch": 3.15, + "learning_rate": 2.3148197725419983e-05, + "loss": 1.6164, + "step": 3120 + }, + { + "epoch": 3.16, + "learning_rate": 2.2884440178519305e-05, + "loss": 1.631, + "step": 3125 + }, + { + "epoch": 3.16, + "learning_rate": 2.262199963051934e-05, + "loss": 1.6395, + "step": 3130 + }, + { + "epoch": 3.17, + "learning_rate": 2.2360880563445764e-05, + "loss": 1.6389, + "step": 3135 + }, + { + "epoch": 3.17, + "learning_rate": 2.2101087436755573e-05, + "loss": 1.63, + "step": 3140 + }, + { + "epoch": 3.18, + "learning_rate": 2.184262468726098e-05, + "loss": 1.6276, + "step": 3145 + }, + { + "epoch": 3.18, + "learning_rate": 2.1585496729053768e-05, + "loss": 1.6216, + "step": 3150 + }, + { + "epoch": 3.19, + "learning_rate": 2.1329707953429822e-05, + "loss": 1.6282, + "step": 3155 + }, + { + "epoch": 3.19, + "learning_rate": 2.1075262728814094e-05, + "loss": 1.6315, + "step": 3160 + }, + { + "epoch": 3.2, + "learning_rate": 2.0822165400686035e-05, + "loss": 1.6443, + "step": 3165 + }, + { + "epoch": 3.2, + "learning_rate": 2.0570420291505376e-05, + "loss": 1.6053, + "step": 3170 + }, + { + "epoch": 3.21, + "learning_rate": 2.0320031700638352e-05, + "loss": 1.6289, + "step": 3175 + }, + { + "epoch": 3.21, + "learning_rate": 2.0071003904284158e-05, + "loss": 1.6252, + "step": 3180 + }, + { + "epoch": 3.22, + "learning_rate": 1.9823341155402153e-05, + "loss": 1.6193, + "step": 3185 + }, + { + "epoch": 3.22, + "learning_rate": 1.9577047683638873e-05, + "loss": 1.6257, + "step": 3190 + }, + { + "epoch": 3.23, + "learning_rate": 1.933212769525613e-05, + "loss": 1.6297, + "step": 3195 + }, + { + "epoch": 3.23, + "learning_rate": 1.9088585373058976e-05, + "loss": 1.6248, + "step": 3200 + }, + { + "epoch": 3.24, + "learning_rate": 1.884642487632442e-05, + "loss": 1.6381, + "step": 3205 + }, + { + "epoch": 3.24, + "learning_rate": 1.8605650340730228e-05, + "loss": 1.6377, + "step": 3210 + }, + { + "epoch": 3.25, + "learning_rate": 1.8366265878284382e-05, + "loss": 1.6152, + "step": 3215 + }, + { + "epoch": 3.25, + "learning_rate": 1.8128275577254884e-05, + "loss": 1.6193, + "step": 3220 + }, + { + "epoch": 3.26, + "learning_rate": 1.789168350209983e-05, + "loss": 1.6174, + "step": 3225 + }, + { + "epoch": 3.26, + "learning_rate": 1.765649369339819e-05, + "loss": 1.6376, + "step": 3230 + }, + { + "epoch": 3.27, + "learning_rate": 1.742271016778051e-05, + "loss": 1.622, + "step": 3235 + }, + { + "epoch": 3.27, + "learning_rate": 1.7190336917860594e-05, + "loss": 1.63, + "step": 3240 + }, + { + "epoch": 3.28, + "learning_rate": 1.695937791216716e-05, + "loss": 1.6347, + "step": 3245 + }, + { + "epoch": 3.28, + "learning_rate": 1.672983709507615e-05, + "loss": 1.6179, + "step": 3250 + }, + { + "epoch": 3.29, + "learning_rate": 1.650171838674328e-05, + "loss": 1.6227, + "step": 3255 + }, + { + "epoch": 3.29, + "learning_rate": 1.6275025683037148e-05, + "loss": 1.6331, + "step": 3260 + }, + { + "epoch": 3.3, + "learning_rate": 1.6049762855472685e-05, + "loss": 1.6197, + "step": 3265 + }, + { + "epoch": 3.3, + "learning_rate": 1.5825933751145027e-05, + "loss": 1.6323, + "step": 3270 + }, + { + "epoch": 3.31, + "learning_rate": 1.56035421926639e-05, + "loss": 1.6208, + "step": 3275 + }, + { + "epoch": 3.31, + "learning_rate": 1.5382591978088144e-05, + "loss": 1.6216, + "step": 3280 + }, + { + "epoch": 3.32, + "learning_rate": 1.5163086880861043e-05, + "loss": 1.6305, + "step": 3285 + }, + { + "epoch": 3.32, + "learning_rate": 1.494503064974575e-05, + "loss": 1.6324, + "step": 3290 + }, + { + "epoch": 3.33, + "learning_rate": 1.4728427008761402e-05, + "loss": 1.6317, + "step": 3295 + }, + { + "epoch": 3.33, + "learning_rate": 1.4513279657119371e-05, + "loss": 1.6243, + "step": 3300 + }, + { + "epoch": 3.34, + "learning_rate": 1.4299592269160166e-05, + "loss": 1.6287, + "step": 3305 + }, + { + "epoch": 3.34, + "learning_rate": 1.4087368494290677e-05, + "loss": 1.6318, + "step": 3310 + }, + { + "epoch": 3.35, + "learning_rate": 1.3876611956921793e-05, + "loss": 1.6273, + "step": 3315 + }, + { + "epoch": 3.35, + "learning_rate": 1.3667326256406699e-05, + "loss": 1.6143, + "step": 3320 + }, + { + "epoch": 3.36, + "learning_rate": 1.345951496697907e-05, + "loss": 1.6209, + "step": 3325 + }, + { + "epoch": 3.36, + "learning_rate": 1.3253181637692324e-05, + "loss": 1.6212, + "step": 3330 + }, + { + "epoch": 3.37, + "learning_rate": 1.3048329792358883e-05, + "loss": 1.6277, + "step": 3335 + }, + { + "epoch": 3.37, + "learning_rate": 1.2844962929490045e-05, + "loss": 1.6418, + "step": 3340 + }, + { + "epoch": 3.38, + "learning_rate": 1.264308452223616e-05, + "loss": 1.6343, + "step": 3345 + }, + { + "epoch": 3.38, + "learning_rate": 1.244269801832737e-05, + "loss": 1.6291, + "step": 3350 + }, + { + "epoch": 3.39, + "learning_rate": 1.2243806840014726e-05, + "loss": 1.6088, + "step": 3355 + }, + { + "epoch": 3.39, + "learning_rate": 1.2046414384011718e-05, + "loss": 1.6069, + "step": 3360 + }, + { + "epoch": 3.4, + "learning_rate": 1.1850524021436337e-05, + "loss": 1.6121, + "step": 3365 + }, + { + "epoch": 3.4, + "learning_rate": 1.1656139097753348e-05, + "loss": 1.6305, + "step": 3370 + }, + { + "epoch": 3.41, + "learning_rate": 1.1463262932717323e-05, + "loss": 1.6394, + "step": 3375 + }, + { + "epoch": 3.41, + "learning_rate": 1.127189882031584e-05, + "loss": 1.6238, + "step": 3380 + }, + { + "epoch": 3.42, + "learning_rate": 1.1082050028713309e-05, + "loss": 1.6294, + "step": 3385 + }, + { + "epoch": 3.42, + "learning_rate": 1.0893719800195057e-05, + "loss": 1.622, + "step": 3390 + }, + { + "epoch": 3.43, + "learning_rate": 1.0706911351112037e-05, + "loss": 1.6231, + "step": 3395 + }, + { + "epoch": 3.43, + "learning_rate": 1.052162787182588e-05, + "loss": 1.6262, + "step": 3400 + }, + { + "epoch": 3.44, + "learning_rate": 1.0337872526654358e-05, + "loss": 1.6081, + "step": 3405 + }, + { + "epoch": 3.44, + "learning_rate": 1.0155648453817435e-05, + "loss": 1.6253, + "step": 3410 + }, + { + "epoch": 3.45, + "learning_rate": 9.974958765383591e-06, + "loss": 1.6118, + "step": 3415 + }, + { + "epoch": 3.45, + "learning_rate": 9.795806547216701e-06, + "loss": 1.6339, + "step": 3420 + }, + { + "epoch": 3.46, + "learning_rate": 9.618194858923346e-06, + "loss": 1.6173, + "step": 3425 + }, + { + "epoch": 3.46, + "learning_rate": 9.442126733800572e-06, + "loss": 1.6203, + "step": 3430 + }, + { + "epoch": 3.47, + "learning_rate": 9.267605178784033e-06, + "loss": 1.6263, + "step": 3435 + }, + { + "epoch": 3.47, + "learning_rate": 9.094633174396694e-06, + "loss": 1.6188, + "step": 3440 + }, + { + "epoch": 3.48, + "learning_rate": 8.923213674697884e-06, + "loss": 1.6063, + "step": 3445 + }, + { + "epoch": 3.48, + "learning_rate": 8.753349607232864e-06, + "loss": 1.6181, + "step": 3450 + }, + { + "epoch": 3.49, + "learning_rate": 8.585043872982868e-06, + "loss": 1.6265, + "step": 3455 + }, + { + "epoch": 3.49, + "learning_rate": 8.418299346315483e-06, + "loss": 1.6186, + "step": 3460 + }, + { + "epoch": 3.5, + "learning_rate": 8.253118874935629e-06, + "loss": 1.6172, + "step": 3465 + }, + { + "epoch": 3.5, + "learning_rate": 8.089505279836873e-06, + "loss": 1.622, + "step": 3470 + }, + { + "epoch": 3.51, + "learning_rate": 7.927461355253307e-06, + "loss": 1.5994, + "step": 3475 + }, + { + "epoch": 3.51, + "learning_rate": 7.766989868611774e-06, + "loss": 1.6239, + "step": 3480 + }, + { + "epoch": 3.52, + "learning_rate": 7.60809356048463e-06, + "loss": 1.6292, + "step": 3485 + }, + { + "epoch": 3.52, + "learning_rate": 7.4507751445429315e-06, + "loss": 1.6292, + "step": 3490 + }, + { + "epoch": 3.53, + "learning_rate": 7.2950373075101e-06, + "loss": 1.6154, + "step": 3495 + }, + { + "epoch": 3.53, + "learning_rate": 7.140882709116048e-06, + "loss": 1.6178, + "step": 3500 + }, + { + "epoch": 3.54, + "learning_rate": 6.98831398205172e-06, + "loss": 1.6349, + "step": 3505 + }, + { + "epoch": 3.54, + "learning_rate": 6.8373337319241555e-06, + "loss": 1.6319, + "step": 3510 + }, + { + "epoch": 3.55, + "learning_rate": 6.687944537211988e-06, + "loss": 1.6126, + "step": 3515 + }, + { + "epoch": 3.56, + "learning_rate": 6.540148949221403e-06, + "loss": 1.6207, + "step": 3520 + }, + { + "epoch": 3.56, + "learning_rate": 6.393949492042606e-06, + "loss": 1.6072, + "step": 3525 + }, + { + "epoch": 3.57, + "learning_rate": 6.249348662506627e-06, + "loss": 1.6298, + "step": 3530 + }, + { + "epoch": 3.57, + "learning_rate": 6.106348930142758e-06, + "loss": 1.6197, + "step": 3535 + }, + { + "epoch": 3.58, + "learning_rate": 5.964952737136353e-06, + "loss": 1.6168, + "step": 3540 + }, + { + "epoch": 3.58, + "learning_rate": 5.825162498287096e-06, + "loss": 1.6102, + "step": 3545 + }, + { + "epoch": 3.59, + "learning_rate": 5.686980600967817e-06, + "loss": 1.6184, + "step": 3550 + }, + { + "epoch": 3.59, + "learning_rate": 5.550409405083657e-06, + "loss": 1.6228, + "step": 3555 + }, + { + "epoch": 3.6, + "learning_rate": 5.415451243031811e-06, + "loss": 1.6221, + "step": 3560 + }, + { + "epoch": 3.6, + "learning_rate": 5.282108419661646e-06, + "loss": 1.6303, + "step": 3565 + }, + { + "epoch": 3.61, + "learning_rate": 5.150383212235421e-06, + "loss": 1.615, + "step": 3570 + }, + { + "epoch": 3.61, + "learning_rate": 5.020277870389312e-06, + "loss": 1.6333, + "step": 3575 + }, + { + "epoch": 3.62, + "learning_rate": 4.891794616095025e-06, + "loss": 1.6241, + "step": 3580 + }, + { + "epoch": 3.62, + "learning_rate": 4.764935643621848e-06, + "loss": 1.6325, + "step": 3585 + }, + { + "epoch": 3.63, + "learning_rate": 4.639703119499172e-06, + "loss": 1.6164, + "step": 3590 + }, + { + "epoch": 3.63, + "learning_rate": 4.516099182479505e-06, + "loss": 1.6207, + "step": 3595 + }, + { + "epoch": 3.64, + "learning_rate": 4.394125943501936e-06, + "loss": 1.6134, + "step": 3600 + }, + { + "epoch": 3.64, + "learning_rate": 4.273785485656068e-06, + "loss": 1.6231, + "step": 3605 + }, + { + "epoch": 3.65, + "learning_rate": 4.1550798641464605e-06, + "loss": 1.6069, + "step": 3610 + }, + { + "epoch": 3.65, + "learning_rate": 4.038011106257555e-06, + "loss": 1.6091, + "step": 3615 + }, + { + "epoch": 3.66, + "learning_rate": 3.922581211318999e-06, + "loss": 1.62, + "step": 3620 + }, + { + "epoch": 3.66, + "learning_rate": 3.808792150671525e-06, + "loss": 1.6251, + "step": 3625 + }, + { + "epoch": 3.67, + "learning_rate": 3.6966458676332973e-06, + "loss": 1.6327, + "step": 3630 + }, + { + "epoch": 3.67, + "learning_rate": 3.5861442774667074e-06, + "loss": 1.6004, + "step": 3635 + }, + { + "epoch": 3.68, + "learning_rate": 3.4772892673456626e-06, + "loss": 1.6086, + "step": 3640 + }, + { + "epoch": 3.68, + "learning_rate": 3.3700826963233735e-06, + "loss": 1.625, + "step": 3645 + }, + { + "epoch": 3.69, + "learning_rate": 3.2645263953005933e-06, + "loss": 1.6158, + "step": 3650 + }, + { + "epoch": 3.69, + "learning_rate": 3.1606221669943206e-06, + "loss": 1.608, + "step": 3655 + }, + { + "epoch": 3.7, + "learning_rate": 3.0583717859070883e-06, + "loss": 1.6005, + "step": 3660 + }, + { + "epoch": 3.7, + "learning_rate": 2.9577769982965908e-06, + "loss": 1.6166, + "step": 3665 + }, + { + "epoch": 3.71, + "learning_rate": 2.858839522145873e-06, + "loss": 1.6157, + "step": 3670 + }, + { + "epoch": 3.71, + "learning_rate": 2.7615610471340093e-06, + "loss": 1.6033, + "step": 3675 + }, + { + "epoch": 3.72, + "learning_rate": 2.6659432346072156e-06, + "loss": 1.6193, + "step": 3680 + }, + { + "epoch": 3.72, + "learning_rate": 2.571987717550517e-06, + "loss": 1.62, + "step": 3685 + }, + { + "epoch": 3.73, + "learning_rate": 2.4796961005598363e-06, + "loss": 1.619, + "step": 3690 + }, + { + "epoch": 3.73, + "learning_rate": 2.389069959814594e-06, + "loss": 1.6346, + "step": 3695 + }, + { + "epoch": 3.74, + "learning_rate": 2.3001108430507735e-06, + "loss": 1.6115, + "step": 3700 + }, + { + "epoch": 3.74, + "learning_rate": 2.2128202695345324e-06, + "loss": 1.6129, + "step": 3705 + }, + { + "epoch": 3.75, + "learning_rate": 2.1271997300362003e-06, + "loss": 1.5998, + "step": 3710 + }, + { + "epoch": 3.75, + "learning_rate": 2.043250686804865e-06, + "loss": 1.6352, + "step": 3715 + }, + { + "epoch": 3.76, + "learning_rate": 1.9609745735433614e-06, + "loss": 1.6213, + "step": 3720 + }, + { + "epoch": 3.76, + "learning_rate": 1.8803727953838335e-06, + "loss": 1.6163, + "step": 3725 + }, + { + "epoch": 3.77, + "learning_rate": 1.8014467288636872e-06, + "loss": 1.618, + "step": 3730 + }, + { + "epoch": 3.77, + "learning_rate": 1.7241977219020988e-06, + "loss": 1.6189, + "step": 3735 + }, + { + "epoch": 3.78, + "learning_rate": 1.6486270937770332e-06, + "loss": 1.6139, + "step": 3740 + }, + { + "epoch": 3.78, + "learning_rate": 1.574736135102639e-06, + "loss": 1.6163, + "step": 3745 + }, + { + "epoch": 3.79, + "learning_rate": 1.5025261078073005e-06, + "loss": 1.6152, + "step": 3750 + }, + { + "epoch": 3.79, + "learning_rate": 1.4319982451119652e-06, + "loss": 1.6289, + "step": 3755 + }, + { + "epoch": 3.8, + "learning_rate": 1.3631537515092163e-06, + "loss": 1.6263, + "step": 3760 + }, + { + "epoch": 3.8, + "learning_rate": 1.29599380274259e-06, + "loss": 1.6108, + "step": 3765 + }, + { + "epoch": 3.81, + "learning_rate": 1.2305195457865681e-06, + "loss": 1.6016, + "step": 3770 + }, + { + "epoch": 3.81, + "learning_rate": 1.1667320988269614e-06, + "loss": 1.6129, + "step": 3775 + }, + { + "epoch": 3.82, + "learning_rate": 1.104632551241802e-06, + "loss": 1.6075, + "step": 3780 + }, + { + "epoch": 3.82, + "learning_rate": 1.0442219635827587e-06, + "loss": 1.6188, + "step": 3785 + }, + { + "epoch": 3.83, + "learning_rate": 9.85501367557029e-07, + "loss": 1.6018, + "step": 3790 + }, + { + "epoch": 3.83, + "learning_rate": 9.284717660097086e-07, + "loss": 1.6072, + "step": 3795 + }, + { + "epoch": 3.84, + "learning_rate": 8.7313413290665e-07, + "loss": 1.6053, + "step": 3800 + }, + { + "epoch": 3.84, + "learning_rate": 8.194894133178532e-07, + "loss": 1.6125, + "step": 3805 + }, + { + "epoch": 3.85, + "learning_rate": 7.675385234013011e-07, + "loss": 1.616, + "step": 3810 + }, + { + "epoch": 3.85, + "learning_rate": 7.172823503873605e-07, + "loss": 1.6151, + "step": 3815 + }, + { + "epoch": 3.86, + "learning_rate": 6.687217525635614e-07, + "loss": 1.637, + "step": 3820 + }, + { + "epoch": 3.86, + "learning_rate": 6.218575592600084e-07, + "loss": 1.6135, + "step": 3825 + }, + { + "epoch": 3.87, + "learning_rate": 5.766905708351478e-07, + "loss": 1.6159, + "step": 3830 + }, + { + "epoch": 3.87, + "learning_rate": 5.332215586621669e-07, + "loss": 1.6136, + "step": 3835 + }, + { + "epoch": 3.88, + "learning_rate": 4.91451265115761e-07, + "loss": 1.6354, + "step": 3840 + }, + { + "epoch": 3.88, + "learning_rate": 4.513804035595093e-07, + "loss": 1.6142, + "step": 3845 + }, + { + "epoch": 3.89, + "learning_rate": 4.130096583336407e-07, + "loss": 1.6209, + "step": 3850 + }, + { + "epoch": 3.89, + "learning_rate": 3.763396847433875e-07, + "loss": 1.6133, + "step": 3855 + }, + { + "epoch": 3.9, + "learning_rate": 3.413711090477722e-07, + "loss": 1.6025, + "step": 3860 + }, + { + "epoch": 3.9, + "learning_rate": 3.081045284488937e-07, + "loss": 1.6299, + "step": 3865 + }, + { + "epoch": 3.91, + "learning_rate": 2.76540511081802e-07, + "loss": 1.624, + "step": 3870 + }, + { + "epoch": 3.91, + "learning_rate": 2.4667959600468414e-07, + "loss": 1.6148, + "step": 3875 + }, + { + "epoch": 3.92, + "learning_rate": 2.1852229318977125e-07, + "loss": 1.6089, + "step": 3880 + }, + { + "epoch": 3.92, + "learning_rate": 1.9206908351453446e-07, + "loss": 1.6341, + "step": 3885 + }, + { + "epoch": 3.93, + "learning_rate": 1.6732041875354709e-07, + "loss": 1.6184, + "step": 3890 + }, + { + "epoch": 3.93, + "learning_rate": 1.4427672157072414e-07, + "loss": 1.5931, + "step": 3895 + }, + { + "epoch": 3.94, + "learning_rate": 1.229383855121058e-07, + "loss": 1.605, + "step": 3900 + }, + { + "epoch": 3.94, + "learning_rate": 1.0330577499915173e-07, + "loss": 1.6359, + "step": 3905 + }, + { + "epoch": 3.95, + "learning_rate": 8.537922532252384e-08, + "loss": 1.5941, + "step": 3910 + }, + { + "epoch": 3.95, + "learning_rate": 6.915904263634643e-08, + "loss": 1.6207, + "step": 3915 + }, + { + "epoch": 3.96, + "learning_rate": 5.464550395295476e-08, + "loss": 1.6085, + "step": 3920 + }, + { + "epoch": 3.96, + "learning_rate": 4.183885713822111e-08, + "loss": 1.6145, + "step": 3925 + }, + { + "epoch": 3.97, + "learning_rate": 3.0739320907269276e-08, + "loss": 1.6102, + "step": 3930 + }, + { + "epoch": 3.97, + "learning_rate": 2.134708482077752e-08, + "loss": 1.6245, + "step": 3935 + }, + { + "epoch": 3.98, + "learning_rate": 1.3662309281714525e-08, + "loss": 1.6035, + "step": 3940 + }, + { + "epoch": 3.98, + "learning_rate": 7.685125532586047e-09, + "loss": 1.6038, + "step": 3945 + }, + { + "epoch": 3.99, + "learning_rate": 3.415635653258864e-09, + "loss": 1.6323, + "step": 3950 + }, + { + "epoch": 3.99, + "learning_rate": 8.539125591511266e-10, + "loss": 1.6162, + "step": 3955 + }, + { + "epoch": 4.0, + "learning_rate": 0.0, + "loss": 1.6228, + "step": 3960 + }, + { + "epoch": 4.0, + "eval_loss": 1.66698157787323, + "eval_runtime": 111.3625, + "eval_samples_per_second": 119.6, + "eval_steps_per_second": 14.951, + "step": 3960 + }, + { + "epoch": 4.0, + "step": 3960, + "total_flos": 9.454097668453171e+17, + "train_loss": 1.9931427570304485, + "train_runtime": 30194.781, + "train_samples_per_second": 33.608, + "train_steps_per_second": 0.131 + } + ], + "max_steps": 3960, + "num_train_epochs": 4, + "total_flos": 9.454097668453171e+17, + "trial_name": null, + "trial_params": null +}