| { | |
| "best_metric": 0.5081329345703125, | |
| "best_model_checkpoint": "finetuned-cards-blackjack/checkpoint-2800", | |
| "epoch": 7.0, | |
| "eval_steps": 100, | |
| "global_step": 2891, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 3.301379680633545, | |
| "learning_rate": 0.00019930819785541338, | |
| "loss": 1.3967, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 3.8909592628479004, | |
| "learning_rate": 0.00019861639571082672, | |
| "loss": 1.3469, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 3.4435207843780518, | |
| "learning_rate": 0.00019792459356624006, | |
| "loss": 1.321, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 4.026681900024414, | |
| "learning_rate": 0.0001972327914216534, | |
| "loss": 1.0812, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 5.660863399505615, | |
| "learning_rate": 0.00019654098927706677, | |
| "loss": 1.2255, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 4.201864719390869, | |
| "learning_rate": 0.00019584918713248014, | |
| "loss": 1.2845, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 3.0525405406951904, | |
| "learning_rate": 0.00019515738498789345, | |
| "loss": 1.3223, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 4.4655351638793945, | |
| "learning_rate": 0.00019446558284330682, | |
| "loss": 1.444, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 5.199573993682861, | |
| "learning_rate": 0.00019377378069872016, | |
| "loss": 1.4201, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 4.03210973739624, | |
| "learning_rate": 0.00019308197855413353, | |
| "loss": 1.3563, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.6749571183533448, | |
| "eval_loss": 1.1494646072387695, | |
| "eval_runtime": 6.2584, | |
| "eval_samples_per_second": 186.311, | |
| "eval_steps_per_second": 23.329, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 4.278244495391846, | |
| "learning_rate": 0.00019239017640954688, | |
| "loss": 1.3488, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 3.920788049697876, | |
| "learning_rate": 0.00019169837426496022, | |
| "loss": 1.451, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 3.261601686477661, | |
| "learning_rate": 0.00019100657212037359, | |
| "loss": 1.2141, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 5.404760837554932, | |
| "learning_rate": 0.00019031476997578695, | |
| "loss": 1.5746, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 2.8406295776367188, | |
| "learning_rate": 0.0001896229678312003, | |
| "loss": 1.2777, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 3.7745213508605957, | |
| "learning_rate": 0.00018893116568661364, | |
| "loss": 1.2075, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 3.8692853450775146, | |
| "learning_rate": 0.00018823936354202698, | |
| "loss": 1.2082, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 3.2764315605163574, | |
| "learning_rate": 0.00018754756139744035, | |
| "loss": 1.1009, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 2.6145033836364746, | |
| "learning_rate": 0.0001868557592528537, | |
| "loss": 1.2236, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 4.715363502502441, | |
| "learning_rate": 0.00018616395710826703, | |
| "loss": 1.3393, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_accuracy": 0.7204116638078902, | |
| "eval_loss": 1.0388233661651611, | |
| "eval_runtime": 6.0054, | |
| "eval_samples_per_second": 194.159, | |
| "eval_steps_per_second": 24.311, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 3.9448986053466797, | |
| "learning_rate": 0.0001854721549636804, | |
| "loss": 1.1597, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 3.357956886291504, | |
| "learning_rate": 0.00018478035281909374, | |
| "loss": 1.1734, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 5.5605244636535645, | |
| "learning_rate": 0.0001840885506745071, | |
| "loss": 1.165, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 4.48176908493042, | |
| "learning_rate": 0.00018339674852992045, | |
| "loss": 1.4025, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 3.6814768314361572, | |
| "learning_rate": 0.0001827049463853338, | |
| "loss": 1.198, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 4.112949848175049, | |
| "learning_rate": 0.00018201314424074716, | |
| "loss": 1.1062, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 5.755402565002441, | |
| "learning_rate": 0.0001813213420961605, | |
| "loss": 1.144, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 3.6004717350006104, | |
| "learning_rate": 0.00018062953995157384, | |
| "loss": 1.2527, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 2.4746742248535156, | |
| "learning_rate": 0.0001799377378069872, | |
| "loss": 1.1316, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 2.231992483139038, | |
| "learning_rate": 0.00017924593566240055, | |
| "loss": 1.2033, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.7547169811320755, | |
| "eval_loss": 0.9323562979698181, | |
| "eval_runtime": 7.9011, | |
| "eval_samples_per_second": 147.574, | |
| "eval_steps_per_second": 18.478, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 4.073417663574219, | |
| "learning_rate": 0.00017855413351781392, | |
| "loss": 1.3702, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 5.040902137756348, | |
| "learning_rate": 0.00017786233137322726, | |
| "loss": 1.1423, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 3.7068464756011963, | |
| "learning_rate": 0.0001771705292286406, | |
| "loss": 1.0609, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 4.864231586456299, | |
| "learning_rate": 0.00017647872708405397, | |
| "loss": 1.201, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 6.007138252258301, | |
| "learning_rate": 0.00017578692493946732, | |
| "loss": 1.0687, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 4.0837225914001465, | |
| "learning_rate": 0.00017509512279488069, | |
| "loss": 1.1311, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 4.566812992095947, | |
| "learning_rate": 0.00017440332065029403, | |
| "loss": 1.3071, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 3.3199901580810547, | |
| "learning_rate": 0.00017371151850570737, | |
| "loss": 1.0246, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 2.4883534908294678, | |
| "learning_rate": 0.00017301971636112074, | |
| "loss": 1.0215, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 5.232284069061279, | |
| "learning_rate": 0.00017232791421653408, | |
| "loss": 0.9672, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "eval_accuracy": 0.7658662092624356, | |
| "eval_loss": 0.8557726144790649, | |
| "eval_runtime": 6.2462, | |
| "eval_samples_per_second": 186.674, | |
| "eval_steps_per_second": 23.374, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 3.8225362300872803, | |
| "learning_rate": 0.00017163611207194742, | |
| "loss": 1.0908, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 4.098091125488281, | |
| "learning_rate": 0.0001709443099273608, | |
| "loss": 0.8621, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 4.027368068695068, | |
| "learning_rate": 0.00017025250778277413, | |
| "loss": 0.9868, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 4.375247478485107, | |
| "learning_rate": 0.0001695607056381875, | |
| "loss": 1.0179, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 8.204839706420898, | |
| "learning_rate": 0.00016886890349360084, | |
| "loss": 0.902, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 3.1056785583496094, | |
| "learning_rate": 0.00016817710134901418, | |
| "loss": 0.9873, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 6.811554908752441, | |
| "learning_rate": 0.00016748529920442755, | |
| "loss": 0.9035, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 4.715181350708008, | |
| "learning_rate": 0.0001667934970598409, | |
| "loss": 1.0024, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 5.355204105377197, | |
| "learning_rate": 0.00016610169491525423, | |
| "loss": 1.0384, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 8.26843547821045, | |
| "learning_rate": 0.0001654098927706676, | |
| "loss": 0.8674, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "eval_accuracy": 0.7615780445969125, | |
| "eval_loss": 0.8456417322158813, | |
| "eval_runtime": 5.9836, | |
| "eval_samples_per_second": 194.865, | |
| "eval_steps_per_second": 24.4, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 3.612718343734741, | |
| "learning_rate": 0.00016471809062608094, | |
| "loss": 1.035, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 3.2531259059906006, | |
| "learning_rate": 0.0001640262884814943, | |
| "loss": 0.9591, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 2.1132917404174805, | |
| "learning_rate": 0.00016333448633690765, | |
| "loss": 0.7013, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 5.840766906738281, | |
| "learning_rate": 0.000162642684192321, | |
| "loss": 1.1066, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 2.8128092288970947, | |
| "learning_rate": 0.00016195088204773436, | |
| "loss": 0.8851, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 5.935888290405273, | |
| "learning_rate": 0.0001612590799031477, | |
| "loss": 0.9738, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 4.2558488845825195, | |
| "learning_rate": 0.00016056727775856107, | |
| "loss": 1.1094, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 3.7361583709716797, | |
| "learning_rate": 0.0001598754756139744, | |
| "loss": 1.0376, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 3.6672043800354004, | |
| "learning_rate": 0.00015918367346938776, | |
| "loss": 0.9765, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "grad_norm": 2.8976941108703613, | |
| "learning_rate": 0.00015849187132480113, | |
| "loss": 0.8277, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "eval_accuracy": 0.7958833619210978, | |
| "eval_loss": 0.7562589049339294, | |
| "eval_runtime": 6.7504, | |
| "eval_samples_per_second": 172.731, | |
| "eval_steps_per_second": 21.628, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 4.665554046630859, | |
| "learning_rate": 0.00015780006918021447, | |
| "loss": 0.8139, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 4.166018486022949, | |
| "learning_rate": 0.0001571082670356278, | |
| "loss": 1.1314, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 3.610258102416992, | |
| "learning_rate": 0.00015641646489104115, | |
| "loss": 0.9497, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 4.610332489013672, | |
| "learning_rate": 0.00015572466274645452, | |
| "loss": 1.0767, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 3.796252965927124, | |
| "learning_rate": 0.0001550328606018679, | |
| "loss": 0.8486, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 3.9809694290161133, | |
| "learning_rate": 0.00015434105845728123, | |
| "loss": 0.9211, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 2.5232605934143066, | |
| "learning_rate": 0.00015364925631269457, | |
| "loss": 0.8843, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 4.975670337677002, | |
| "learning_rate": 0.00015295745416810794, | |
| "loss": 0.9494, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 5.420626163482666, | |
| "learning_rate": 0.00015226565202352128, | |
| "loss": 0.9786, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 3.364365339279175, | |
| "learning_rate": 0.00015157384987893465, | |
| "loss": 0.8703, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "eval_accuracy": 0.7538593481989708, | |
| "eval_loss": 0.8465284109115601, | |
| "eval_runtime": 6.2814, | |
| "eval_samples_per_second": 185.628, | |
| "eval_steps_per_second": 23.243, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 3.51340913772583, | |
| "learning_rate": 0.00015088204773434796, | |
| "loss": 0.9032, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 3.7203245162963867, | |
| "learning_rate": 0.00015019024558976133, | |
| "loss": 0.7729, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 3.596214771270752, | |
| "learning_rate": 0.0001494984434451747, | |
| "loss": 0.8151, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 3.2724595069885254, | |
| "learning_rate": 0.00014880664130058804, | |
| "loss": 0.8064, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 3.5748846530914307, | |
| "learning_rate": 0.00014811483915600139, | |
| "loss": 0.8419, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "grad_norm": 5.998478412628174, | |
| "learning_rate": 0.00014742303701141473, | |
| "loss": 0.8494, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 3.545043706893921, | |
| "learning_rate": 0.0001467312348668281, | |
| "loss": 0.7695, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 3.9944069385528564, | |
| "learning_rate": 0.00014603943272224146, | |
| "loss": 0.9405, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 5.435621738433838, | |
| "learning_rate": 0.00014534763057765478, | |
| "loss": 0.8863, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 7.365724086761475, | |
| "learning_rate": 0.00014465582843306815, | |
| "loss": 0.893, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "eval_accuracy": 0.8001715265866209, | |
| "eval_loss": 0.688121497631073, | |
| "eval_runtime": 6.0254, | |
| "eval_samples_per_second": 193.514, | |
| "eval_steps_per_second": 24.231, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 6.192987442016602, | |
| "learning_rate": 0.0001439640262884815, | |
| "loss": 0.8819, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "grad_norm": 3.021066188812256, | |
| "learning_rate": 0.00014327222414389486, | |
| "loss": 0.6413, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "grad_norm": 4.522083759307861, | |
| "learning_rate": 0.0001425804219993082, | |
| "loss": 0.9185, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "grad_norm": 3.089639186859131, | |
| "learning_rate": 0.00014188861985472154, | |
| "loss": 0.7384, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "grad_norm": 4.491950988769531, | |
| "learning_rate": 0.0001411968177101349, | |
| "loss": 0.765, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "grad_norm": 3.618821144104004, | |
| "learning_rate": 0.00014050501556554828, | |
| "loss": 0.8237, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "grad_norm": 4.773688793182373, | |
| "learning_rate": 0.00013981321342096162, | |
| "loss": 0.7171, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "grad_norm": 1.607408881187439, | |
| "learning_rate": 0.00013912141127637496, | |
| "loss": 0.6438, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "grad_norm": 4.511462211608887, | |
| "learning_rate": 0.0001384296091317883, | |
| "loss": 0.7983, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "grad_norm": 4.259463787078857, | |
| "learning_rate": 0.00013773780698720167, | |
| "loss": 0.9454, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "eval_accuracy": 0.8027444253859348, | |
| "eval_loss": 0.7210972905158997, | |
| "eval_runtime": 5.9658, | |
| "eval_samples_per_second": 195.449, | |
| "eval_steps_per_second": 24.473, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "grad_norm": 3.810264825820923, | |
| "learning_rate": 0.00013704600484261504, | |
| "loss": 0.7729, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "grad_norm": 5.475677967071533, | |
| "learning_rate": 0.00013635420269802835, | |
| "loss": 0.7531, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "grad_norm": 2.9276745319366455, | |
| "learning_rate": 0.00013566240055344172, | |
| "loss": 0.725, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "grad_norm": 4.840962886810303, | |
| "learning_rate": 0.00013497059840885506, | |
| "loss": 0.6938, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "grad_norm": 5.3595194816589355, | |
| "learning_rate": 0.00013427879626426843, | |
| "loss": 0.6863, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "grad_norm": 7.755936145782471, | |
| "learning_rate": 0.00013358699411968177, | |
| "loss": 0.7146, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "grad_norm": 3.4426372051239014, | |
| "learning_rate": 0.00013289519197509512, | |
| "loss": 0.7144, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "grad_norm": 4.554823398590088, | |
| "learning_rate": 0.00013220338983050849, | |
| "loss": 0.6512, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "grad_norm": 2.8689632415771484, | |
| "learning_rate": 0.00013151158768592183, | |
| "loss": 0.7966, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "grad_norm": 3.4381957054138184, | |
| "learning_rate": 0.0001308197855413352, | |
| "loss": 0.8109, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "eval_accuracy": 0.8284734133790738, | |
| "eval_loss": 0.6368530988693237, | |
| "eval_runtime": 6.2777, | |
| "eval_samples_per_second": 185.738, | |
| "eval_steps_per_second": 23.257, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "grad_norm": 2.984152317047119, | |
| "learning_rate": 0.00013012798339674854, | |
| "loss": 0.6477, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "grad_norm": 5.486266613006592, | |
| "learning_rate": 0.00012943618125216188, | |
| "loss": 0.6834, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "grad_norm": 2.2987334728240967, | |
| "learning_rate": 0.00012874437910757525, | |
| "loss": 0.6415, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "grad_norm": 7.007256507873535, | |
| "learning_rate": 0.0001280525769629886, | |
| "loss": 0.6464, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 2.54, | |
| "grad_norm": 1.817421555519104, | |
| "learning_rate": 0.00012736077481840193, | |
| "loss": 0.774, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "grad_norm": 4.492701530456543, | |
| "learning_rate": 0.0001266689726738153, | |
| "loss": 0.9331, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "grad_norm": 3.884744644165039, | |
| "learning_rate": 0.00012597717052922864, | |
| "loss": 0.6107, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "grad_norm": 4.274733066558838, | |
| "learning_rate": 0.000125285368384642, | |
| "loss": 0.6268, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "grad_norm": 4.432763576507568, | |
| "learning_rate": 0.00012459356624005535, | |
| "loss": 0.6326, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "grad_norm": 4.16074275970459, | |
| "learning_rate": 0.0001239017640954687, | |
| "loss": 0.8762, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "eval_accuracy": 0.839622641509434, | |
| "eval_loss": 0.6335619688034058, | |
| "eval_runtime": 6.1128, | |
| "eval_samples_per_second": 190.748, | |
| "eval_steps_per_second": 23.884, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "grad_norm": 4.018909931182861, | |
| "learning_rate": 0.00012320996195088206, | |
| "loss": 0.8039, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "grad_norm": 8.111551284790039, | |
| "learning_rate": 0.0001225181598062954, | |
| "loss": 0.6436, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "grad_norm": 4.22373628616333, | |
| "learning_rate": 0.00012182635766170876, | |
| "loss": 0.6228, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "grad_norm": 4.817978858947754, | |
| "learning_rate": 0.00012113455551712211, | |
| "loss": 0.7047, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "grad_norm": 5.471624851226807, | |
| "learning_rate": 0.00012044275337253545, | |
| "loss": 0.8293, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "grad_norm": 3.491068124771118, | |
| "learning_rate": 0.00011975095122794881, | |
| "loss": 0.7128, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "grad_norm": 4.463800430297852, | |
| "learning_rate": 0.00011905914908336215, | |
| "loss": 0.7569, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "grad_norm": 2.7582342624664307, | |
| "learning_rate": 0.00011836734693877552, | |
| "loss": 0.6774, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "grad_norm": 4.606247901916504, | |
| "learning_rate": 0.00011767554479418887, | |
| "loss": 0.7384, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "grad_norm": 4.3657660484313965, | |
| "learning_rate": 0.00011698374264960222, | |
| "loss": 0.8034, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "eval_accuracy": 0.8164665523156089, | |
| "eval_loss": 0.657957911491394, | |
| "eval_runtime": 6.0796, | |
| "eval_samples_per_second": 191.79, | |
| "eval_steps_per_second": 24.015, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "grad_norm": 3.4329655170440674, | |
| "learning_rate": 0.00011629194050501557, | |
| "loss": 0.733, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "grad_norm": 4.565850257873535, | |
| "learning_rate": 0.00011560013836042894, | |
| "loss": 0.7215, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "grad_norm": 3.225835084915161, | |
| "learning_rate": 0.00011490833621584227, | |
| "loss": 0.6895, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 5.188159942626953, | |
| "learning_rate": 0.00011421653407125564, | |
| "loss": 0.6821, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "grad_norm": 1.3620127439498901, | |
| "learning_rate": 0.00011352473192666896, | |
| "loss": 0.5604, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 3.446960687637329, | |
| "learning_rate": 0.00011283292978208233, | |
| "loss": 0.5554, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "grad_norm": 5.016846656799316, | |
| "learning_rate": 0.00011214112763749569, | |
| "loss": 0.7156, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "grad_norm": 5.600184440612793, | |
| "learning_rate": 0.00011144932549290903, | |
| "loss": 0.745, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "grad_norm": 3.7640082836151123, | |
| "learning_rate": 0.00011075752334832239, | |
| "loss": 0.6316, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 4.837277889251709, | |
| "learning_rate": 0.00011006572120373573, | |
| "loss": 0.5833, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "eval_accuracy": 0.8439108061749572, | |
| "eval_loss": 0.5827564597129822, | |
| "eval_runtime": 6.3009, | |
| "eval_samples_per_second": 185.052, | |
| "eval_steps_per_second": 23.171, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 3.17, | |
| "grad_norm": 5.6047797203063965, | |
| "learning_rate": 0.00010937391905914908, | |
| "loss": 0.7184, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 4.177833080291748, | |
| "learning_rate": 0.0001087512971290211, | |
| "loss": 0.7094, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "grad_norm": 2.0531811714172363, | |
| "learning_rate": 0.00010805949498443447, | |
| "loss": 0.6679, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "grad_norm": 2.919313430786133, | |
| "learning_rate": 0.0001073676928398478, | |
| "loss": 0.4368, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "grad_norm": 5.47185754776001, | |
| "learning_rate": 0.00010667589069526116, | |
| "loss": 0.5666, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 3.29, | |
| "grad_norm": 5.082462310791016, | |
| "learning_rate": 0.00010598408855067452, | |
| "loss": 0.7758, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 3.32, | |
| "grad_norm": 3.3282408714294434, | |
| "learning_rate": 0.00010529228640608786, | |
| "loss": 0.6055, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "grad_norm": 5.19661808013916, | |
| "learning_rate": 0.00010460048426150121, | |
| "loss": 0.6678, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "grad_norm": 2.5423412322998047, | |
| "learning_rate": 0.00010390868211691456, | |
| "loss": 0.5333, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "grad_norm": 9.068185806274414, | |
| "learning_rate": 0.00010321687997232792, | |
| "loss": 0.8811, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "eval_accuracy": 0.8259005145797599, | |
| "eval_loss": 0.6564387679100037, | |
| "eval_runtime": 5.9782, | |
| "eval_samples_per_second": 195.041, | |
| "eval_steps_per_second": 24.422, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "grad_norm": 5.794499397277832, | |
| "learning_rate": 0.00010252507782774128, | |
| "loss": 0.8535, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "grad_norm": 4.731594562530518, | |
| "learning_rate": 0.00010183327568315462, | |
| "loss": 0.6556, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "grad_norm": 3.823868751525879, | |
| "learning_rate": 0.00010114147353856798, | |
| "loss": 0.687, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "grad_norm": 7.72351598739624, | |
| "learning_rate": 0.00010044967139398133, | |
| "loss": 0.6479, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 3.51, | |
| "grad_norm": 5.026217937469482, | |
| "learning_rate": 9.975786924939467e-05, | |
| "loss": 0.64, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "grad_norm": 2.873476028442383, | |
| "learning_rate": 9.906606710480803e-05, | |
| "loss": 0.6692, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 3.56, | |
| "grad_norm": 3.9772098064422607, | |
| "learning_rate": 9.837426496022138e-05, | |
| "loss": 0.8156, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 3.58, | |
| "grad_norm": 5.044854164123535, | |
| "learning_rate": 9.768246281563474e-05, | |
| "loss": 0.7261, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "grad_norm": 2.8663127422332764, | |
| "learning_rate": 9.699066067104808e-05, | |
| "loss": 0.7608, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "grad_norm": 7.623239040374756, | |
| "learning_rate": 9.629885852646143e-05, | |
| "loss": 0.5639, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "eval_accuracy": 0.8439108061749572, | |
| "eval_loss": 0.5736597180366516, | |
| "eval_runtime": 6.1394, | |
| "eval_samples_per_second": 189.92, | |
| "eval_steps_per_second": 23.781, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "grad_norm": 4.9297966957092285, | |
| "learning_rate": 9.560705638187479e-05, | |
| "loss": 0.6672, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "grad_norm": 2.0875468254089355, | |
| "learning_rate": 9.491525423728815e-05, | |
| "loss": 0.5335, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "grad_norm": 10.350793838500977, | |
| "learning_rate": 9.422345209270149e-05, | |
| "loss": 0.7163, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "grad_norm": 4.162230014801025, | |
| "learning_rate": 9.353164994811484e-05, | |
| "loss": 0.7528, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "grad_norm": 5.249913215637207, | |
| "learning_rate": 9.28398478035282e-05, | |
| "loss": 0.7946, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 3.78, | |
| "grad_norm": 3.5188651084899902, | |
| "learning_rate": 9.214804565894155e-05, | |
| "loss": 0.7108, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 3.8, | |
| "grad_norm": 5.497143268585205, | |
| "learning_rate": 9.14562435143549e-05, | |
| "loss": 0.8685, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "grad_norm": 4.383511066436768, | |
| "learning_rate": 9.076444136976825e-05, | |
| "loss": 0.7093, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "grad_norm": 4.953444957733154, | |
| "learning_rate": 9.00726392251816e-05, | |
| "loss": 0.7253, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "grad_norm": 3.61757230758667, | |
| "learning_rate": 8.938083708059496e-05, | |
| "loss": 0.639, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "eval_accuracy": 0.8379073756432247, | |
| "eval_loss": 0.560886561870575, | |
| "eval_runtime": 5.9489, | |
| "eval_samples_per_second": 196.002, | |
| "eval_steps_per_second": 24.542, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "grad_norm": 5.650317668914795, | |
| "learning_rate": 8.868903493600831e-05, | |
| "loss": 0.8287, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "grad_norm": 6.012249946594238, | |
| "learning_rate": 8.799723279142166e-05, | |
| "loss": 0.6976, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "grad_norm": 5.186240196228027, | |
| "learning_rate": 8.730543064683501e-05, | |
| "loss": 0.7452, | |
| "step": 1630 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "grad_norm": 5.2669572830200195, | |
| "learning_rate": 8.661362850224835e-05, | |
| "loss": 0.8586, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 2.4105117321014404, | |
| "learning_rate": 8.592182635766172e-05, | |
| "loss": 0.6194, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 4.02, | |
| "grad_norm": 1.2886375188827515, | |
| "learning_rate": 8.523002421307506e-05, | |
| "loss": 0.4969, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 4.04, | |
| "grad_norm": 1.915207862854004, | |
| "learning_rate": 8.453822206848842e-05, | |
| "loss": 0.571, | |
| "step": 1670 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "grad_norm": 3.7422375679016113, | |
| "learning_rate": 8.384641992390176e-05, | |
| "loss": 0.6791, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "grad_norm": 5.4421467781066895, | |
| "learning_rate": 8.315461777931513e-05, | |
| "loss": 0.6829, | |
| "step": 1690 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "grad_norm": 1.9872852563858032, | |
| "learning_rate": 8.246281563472847e-05, | |
| "loss": 0.6455, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "eval_accuracy": 0.8370497427101201, | |
| "eval_loss": 0.5820054411888123, | |
| "eval_runtime": 6.2231, | |
| "eval_samples_per_second": 187.366, | |
| "eval_steps_per_second": 23.461, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "grad_norm": 3.1257195472717285, | |
| "learning_rate": 8.177101349014182e-05, | |
| "loss": 0.6619, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "grad_norm": 3.6743292808532715, | |
| "learning_rate": 8.107921134555517e-05, | |
| "loss": 0.8357, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 4.19, | |
| "grad_norm": 3.7856836318969727, | |
| "learning_rate": 8.038740920096852e-05, | |
| "loss": 0.6017, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "grad_norm": 4.6526970863342285, | |
| "learning_rate": 7.969560705638188e-05, | |
| "loss": 0.6805, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "grad_norm": 3.4002761840820312, | |
| "learning_rate": 7.900380491179523e-05, | |
| "loss": 0.5558, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "grad_norm": 3.9795327186584473, | |
| "learning_rate": 7.831200276720859e-05, | |
| "loss": 0.6921, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "grad_norm": 3.5085155963897705, | |
| "learning_rate": 7.762020062262193e-05, | |
| "loss": 0.5476, | |
| "step": 1770 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "grad_norm": 5.0314412117004395, | |
| "learning_rate": 7.69283984780353e-05, | |
| "loss": 0.8566, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "grad_norm": 2.536855697631836, | |
| "learning_rate": 7.623659633344864e-05, | |
| "loss": 0.5743, | |
| "step": 1790 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "grad_norm": 4.995050430297852, | |
| "learning_rate": 7.5544794188862e-05, | |
| "loss": 0.5402, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "eval_accuracy": 0.8344768439108061, | |
| "eval_loss": 0.5796906352043152, | |
| "eval_runtime": 6.1279, | |
| "eval_samples_per_second": 190.278, | |
| "eval_steps_per_second": 23.826, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "grad_norm": 4.143467903137207, | |
| "learning_rate": 7.485299204427533e-05, | |
| "loss": 0.6715, | |
| "step": 1810 | |
| }, | |
| { | |
| "epoch": 4.41, | |
| "grad_norm": 1.8152028322219849, | |
| "learning_rate": 7.416118989968869e-05, | |
| "loss": 0.6965, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 4.43, | |
| "grad_norm": 3.699620485305786, | |
| "learning_rate": 7.346938775510205e-05, | |
| "loss": 0.5758, | |
| "step": 1830 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "grad_norm": 2.2266180515289307, | |
| "learning_rate": 7.27775856105154e-05, | |
| "loss": 0.6802, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "grad_norm": 4.586669445037842, | |
| "learning_rate": 7.208578346592874e-05, | |
| "loss": 0.5885, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "grad_norm": 4.72069787979126, | |
| "learning_rate": 7.13939813213421e-05, | |
| "loss": 0.6404, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "grad_norm": 5.436990261077881, | |
| "learning_rate": 7.070217917675545e-05, | |
| "loss": 0.7781, | |
| "step": 1870 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "grad_norm": 4.715204238891602, | |
| "learning_rate": 7.001037703216881e-05, | |
| "loss": 0.7109, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 4.58, | |
| "grad_norm": 3.261801242828369, | |
| "learning_rate": 6.931857488758215e-05, | |
| "loss": 0.5707, | |
| "step": 1890 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "grad_norm": 3.516954183578491, | |
| "learning_rate": 6.86267727429955e-05, | |
| "loss": 0.5311, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "eval_accuracy": 0.8456260720411664, | |
| "eval_loss": 0.55106520652771, | |
| "eval_runtime": 6.3501, | |
| "eval_samples_per_second": 183.618, | |
| "eval_steps_per_second": 22.992, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "grad_norm": 4.697694778442383, | |
| "learning_rate": 6.793497059840886e-05, | |
| "loss": 0.6169, | |
| "step": 1910 | |
| }, | |
| { | |
| "epoch": 4.65, | |
| "grad_norm": 4.627555847167969, | |
| "learning_rate": 6.724316845382221e-05, | |
| "loss": 0.649, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "grad_norm": 3.16441011428833, | |
| "learning_rate": 6.662054652369423e-05, | |
| "loss": 0.6538, | |
| "step": 1930 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "grad_norm": 3.6413562297821045, | |
| "learning_rate": 6.592874437910757e-05, | |
| "loss": 0.5963, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "grad_norm": 4.7628960609436035, | |
| "learning_rate": 6.523694223452093e-05, | |
| "loss": 0.5106, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "grad_norm": 3.3812217712402344, | |
| "learning_rate": 6.454514008993428e-05, | |
| "loss": 0.6908, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "grad_norm": 3.9284725189208984, | |
| "learning_rate": 6.385333794534764e-05, | |
| "loss": 0.4863, | |
| "step": 1970 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "grad_norm": 3.633194923400879, | |
| "learning_rate": 6.316153580076098e-05, | |
| "loss": 0.4383, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 4.82, | |
| "grad_norm": 6.324495792388916, | |
| "learning_rate": 6.246973365617433e-05, | |
| "loss": 0.8217, | |
| "step": 1990 | |
| }, | |
| { | |
| "epoch": 4.84, | |
| "grad_norm": 5.055554389953613, | |
| "learning_rate": 6.177793151158769e-05, | |
| "loss": 0.5734, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 4.84, | |
| "eval_accuracy": 0.8507718696397941, | |
| "eval_loss": 0.5443547964096069, | |
| "eval_runtime": 5.9845, | |
| "eval_samples_per_second": 194.837, | |
| "eval_steps_per_second": 24.396, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "grad_norm": 3.0936367511749268, | |
| "learning_rate": 6.108612936700104e-05, | |
| "loss": 0.6563, | |
| "step": 2010 | |
| }, | |
| { | |
| "epoch": 4.89, | |
| "grad_norm": 3.478715181350708, | |
| "learning_rate": 6.039432722241439e-05, | |
| "loss": 0.595, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "grad_norm": 3.4817001819610596, | |
| "learning_rate": 5.970252507782774e-05, | |
| "loss": 0.3782, | |
| "step": 2030 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "grad_norm": 6.603343963623047, | |
| "learning_rate": 5.901072293324109e-05, | |
| "loss": 0.5735, | |
| "step": 2040 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "grad_norm": 1.6107616424560547, | |
| "learning_rate": 5.831892078865445e-05, | |
| "loss": 0.6045, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "grad_norm": 4.367840766906738, | |
| "learning_rate": 5.76271186440678e-05, | |
| "loss": 0.5533, | |
| "step": 2060 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "grad_norm": 6.6618266105651855, | |
| "learning_rate": 5.6935316499481154e-05, | |
| "loss": 0.4114, | |
| "step": 2070 | |
| }, | |
| { | |
| "epoch": 5.04, | |
| "grad_norm": 7.852776050567627, | |
| "learning_rate": 5.62435143548945e-05, | |
| "loss": 0.642, | |
| "step": 2080 | |
| }, | |
| { | |
| "epoch": 5.06, | |
| "grad_norm": 5.769771099090576, | |
| "learning_rate": 5.555171221030785e-05, | |
| "loss": 0.5934, | |
| "step": 2090 | |
| }, | |
| { | |
| "epoch": 5.08, | |
| "grad_norm": 2.4635396003723145, | |
| "learning_rate": 5.485991006572121e-05, | |
| "loss": 0.5206, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 5.08, | |
| "eval_accuracy": 0.8636363636363636, | |
| "eval_loss": 0.5326434969902039, | |
| "eval_runtime": 6.1606, | |
| "eval_samples_per_second": 189.267, | |
| "eval_steps_per_second": 23.699, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 5.11, | |
| "grad_norm": 4.699713706970215, | |
| "learning_rate": 5.416810792113456e-05, | |
| "loss": 0.6311, | |
| "step": 2110 | |
| }, | |
| { | |
| "epoch": 5.13, | |
| "grad_norm": 3.2119288444519043, | |
| "learning_rate": 5.347630577654791e-05, | |
| "loss": 0.4781, | |
| "step": 2120 | |
| }, | |
| { | |
| "epoch": 5.16, | |
| "grad_norm": 5.083879470825195, | |
| "learning_rate": 5.278450363196126e-05, | |
| "loss": 0.5123, | |
| "step": 2130 | |
| }, | |
| { | |
| "epoch": 5.18, | |
| "grad_norm": 3.2444283962249756, | |
| "learning_rate": 5.209270148737462e-05, | |
| "loss": 0.39, | |
| "step": 2140 | |
| }, | |
| { | |
| "epoch": 5.21, | |
| "grad_norm": 2.9540326595306396, | |
| "learning_rate": 5.140089934278797e-05, | |
| "loss": 0.5081, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 5.23, | |
| "grad_norm": 4.055675029754639, | |
| "learning_rate": 5.0709097198201316e-05, | |
| "loss": 0.5884, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "grad_norm": 2.7214150428771973, | |
| "learning_rate": 5.0017295053614664e-05, | |
| "loss": 0.5241, | |
| "step": 2170 | |
| }, | |
| { | |
| "epoch": 5.28, | |
| "grad_norm": 1.249835729598999, | |
| "learning_rate": 4.932549290902802e-05, | |
| "loss": 0.3994, | |
| "step": 2180 | |
| }, | |
| { | |
| "epoch": 5.3, | |
| "grad_norm": 5.9494829177856445, | |
| "learning_rate": 4.863369076444137e-05, | |
| "loss": 0.5295, | |
| "step": 2190 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "grad_norm": 3.318251371383667, | |
| "learning_rate": 4.794188861985472e-05, | |
| "loss": 0.6272, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "eval_accuracy": 0.8524871355060034, | |
| "eval_loss": 0.5477628707885742, | |
| "eval_runtime": 6.3218, | |
| "eval_samples_per_second": 184.442, | |
| "eval_steps_per_second": 23.095, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 5.35, | |
| "grad_norm": 4.580955505371094, | |
| "learning_rate": 4.725008647526807e-05, | |
| "loss": 0.5204, | |
| "step": 2210 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "grad_norm": 1.7544004917144775, | |
| "learning_rate": 4.6558284330681426e-05, | |
| "loss": 0.5388, | |
| "step": 2220 | |
| }, | |
| { | |
| "epoch": 5.4, | |
| "grad_norm": 4.454672336578369, | |
| "learning_rate": 4.586648218609478e-05, | |
| "loss": 0.4773, | |
| "step": 2230 | |
| }, | |
| { | |
| "epoch": 5.42, | |
| "grad_norm": 7.039458274841309, | |
| "learning_rate": 4.517468004150813e-05, | |
| "loss": 0.5821, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 5.45, | |
| "grad_norm": 4.6715006828308105, | |
| "learning_rate": 4.4482877896921485e-05, | |
| "loss": 0.5881, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 5.47, | |
| "grad_norm": 3.3161721229553223, | |
| "learning_rate": 4.379107575233484e-05, | |
| "loss": 0.5587, | |
| "step": 2260 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "grad_norm": 5.245398044586182, | |
| "learning_rate": 4.309927360774819e-05, | |
| "loss": 0.4973, | |
| "step": 2270 | |
| }, | |
| { | |
| "epoch": 5.52, | |
| "grad_norm": 3.1016721725463867, | |
| "learning_rate": 4.2407471463161536e-05, | |
| "loss": 0.4004, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 5.54, | |
| "grad_norm": 4.883015155792236, | |
| "learning_rate": 4.171566931857489e-05, | |
| "loss": 0.4267, | |
| "step": 2290 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "grad_norm": 4.550380229949951, | |
| "learning_rate": 4.102386717398824e-05, | |
| "loss": 0.5124, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "eval_accuracy": 0.8687821612349914, | |
| "eval_loss": 0.5295912623405457, | |
| "eval_runtime": 6.0432, | |
| "eval_samples_per_second": 192.944, | |
| "eval_steps_per_second": 24.159, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "grad_norm": 3.2469303607940674, | |
| "learning_rate": 4.0332065029401595e-05, | |
| "loss": 0.4733, | |
| "step": 2310 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "grad_norm": 5.656401634216309, | |
| "learning_rate": 3.964026288481494e-05, | |
| "loss": 0.5978, | |
| "step": 2320 | |
| }, | |
| { | |
| "epoch": 5.64, | |
| "grad_norm": 2.7476541996002197, | |
| "learning_rate": 3.89484607402283e-05, | |
| "loss": 0.3513, | |
| "step": 2330 | |
| }, | |
| { | |
| "epoch": 5.67, | |
| "grad_norm": 4.047815322875977, | |
| "learning_rate": 3.825665859564165e-05, | |
| "loss": 0.5287, | |
| "step": 2340 | |
| }, | |
| { | |
| "epoch": 5.69, | |
| "grad_norm": 3.4885923862457275, | |
| "learning_rate": 3.7564856451055e-05, | |
| "loss": 0.4946, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "grad_norm": 7.513520240783691, | |
| "learning_rate": 3.687305430646835e-05, | |
| "loss": 0.6233, | |
| "step": 2360 | |
| }, | |
| { | |
| "epoch": 5.74, | |
| "grad_norm": 2.3985989093780518, | |
| "learning_rate": 3.61812521618817e-05, | |
| "loss": 0.5149, | |
| "step": 2370 | |
| }, | |
| { | |
| "epoch": 5.76, | |
| "grad_norm": 5.046018123626709, | |
| "learning_rate": 3.5489450017295054e-05, | |
| "loss": 0.4948, | |
| "step": 2380 | |
| }, | |
| { | |
| "epoch": 5.79, | |
| "grad_norm": 2.6082875728607178, | |
| "learning_rate": 3.479764787270841e-05, | |
| "loss": 0.6084, | |
| "step": 2390 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "grad_norm": 2.541283369064331, | |
| "learning_rate": 3.410584572812176e-05, | |
| "loss": 0.5659, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "eval_accuracy": 0.8704974271012007, | |
| "eval_loss": 0.5180826783180237, | |
| "eval_runtime": 6.1391, | |
| "eval_samples_per_second": 189.929, | |
| "eval_steps_per_second": 23.782, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 5.84, | |
| "grad_norm": 2.853994846343994, | |
| "learning_rate": 3.341404358353511e-05, | |
| "loss": 0.6081, | |
| "step": 2410 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "grad_norm": 4.628828525543213, | |
| "learning_rate": 3.272224143894847e-05, | |
| "loss": 0.4588, | |
| "step": 2420 | |
| }, | |
| { | |
| "epoch": 5.88, | |
| "grad_norm": 3.1006319522857666, | |
| "learning_rate": 3.2030439294361816e-05, | |
| "loss": 0.4341, | |
| "step": 2430 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "grad_norm": 2.395719528198242, | |
| "learning_rate": 3.133863714977517e-05, | |
| "loss": 0.442, | |
| "step": 2440 | |
| }, | |
| { | |
| "epoch": 5.93, | |
| "grad_norm": 3.238839864730835, | |
| "learning_rate": 3.064683500518852e-05, | |
| "loss": 0.4359, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "grad_norm": 5.706843852996826, | |
| "learning_rate": 2.9955032860601867e-05, | |
| "loss": 0.5139, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "grad_norm": 6.059083461761475, | |
| "learning_rate": 2.9263230716015223e-05, | |
| "loss": 0.4459, | |
| "step": 2470 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 4.164783954620361, | |
| "learning_rate": 2.857142857142857e-05, | |
| "loss": 0.5037, | |
| "step": 2480 | |
| }, | |
| { | |
| "epoch": 6.03, | |
| "grad_norm": 3.230203151702881, | |
| "learning_rate": 2.7879626426841926e-05, | |
| "loss": 0.4225, | |
| "step": 2490 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "grad_norm": 5.467190742492676, | |
| "learning_rate": 2.7187824282255274e-05, | |
| "loss": 0.4212, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "eval_accuracy": 0.8610634648370498, | |
| "eval_loss": 0.5200443267822266, | |
| "eval_runtime": 6.2608, | |
| "eval_samples_per_second": 186.239, | |
| "eval_steps_per_second": 23.32, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 6.08, | |
| "grad_norm": 3.7668442726135254, | |
| "learning_rate": 2.649602213766863e-05, | |
| "loss": 0.4042, | |
| "step": 2510 | |
| }, | |
| { | |
| "epoch": 6.1, | |
| "grad_norm": 3.094477415084839, | |
| "learning_rate": 2.580421999308198e-05, | |
| "loss": 0.4338, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 6.13, | |
| "grad_norm": 5.538024425506592, | |
| "learning_rate": 2.5112417848495333e-05, | |
| "loss": 0.3269, | |
| "step": 2530 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "grad_norm": 5.658746719360352, | |
| "learning_rate": 2.4420615703908685e-05, | |
| "loss": 0.4719, | |
| "step": 2540 | |
| }, | |
| { | |
| "epoch": 6.17, | |
| "grad_norm": 1.6886987686157227, | |
| "learning_rate": 2.3728813559322036e-05, | |
| "loss": 0.395, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 6.2, | |
| "grad_norm": 3.538180112838745, | |
| "learning_rate": 2.3037011414735388e-05, | |
| "loss": 0.2877, | |
| "step": 2560 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "grad_norm": 2.9912898540496826, | |
| "learning_rate": 2.234520927014874e-05, | |
| "loss": 0.4797, | |
| "step": 2570 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "grad_norm": 2.68037748336792, | |
| "learning_rate": 2.1653407125562088e-05, | |
| "loss": 0.5114, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 6.27, | |
| "grad_norm": 5.079796314239502, | |
| "learning_rate": 2.096160498097544e-05, | |
| "loss": 0.3604, | |
| "step": 2590 | |
| }, | |
| { | |
| "epoch": 6.3, | |
| "grad_norm": 3.052543878555298, | |
| "learning_rate": 2.026980283638879e-05, | |
| "loss": 0.4338, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 6.3, | |
| "eval_accuracy": 0.8730703259005146, | |
| "eval_loss": 0.5135151743888855, | |
| "eval_runtime": 5.9846, | |
| "eval_samples_per_second": 194.834, | |
| "eval_steps_per_second": 24.396, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 6.32, | |
| "grad_norm": 5.780861854553223, | |
| "learning_rate": 1.9578000691802147e-05, | |
| "loss": 0.3725, | |
| "step": 2610 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "grad_norm": 4.87053108215332, | |
| "learning_rate": 1.88861985472155e-05, | |
| "loss": 0.2491, | |
| "step": 2620 | |
| }, | |
| { | |
| "epoch": 6.37, | |
| "grad_norm": 2.2995293140411377, | |
| "learning_rate": 1.819439640262885e-05, | |
| "loss": 0.2911, | |
| "step": 2630 | |
| }, | |
| { | |
| "epoch": 6.39, | |
| "grad_norm": 1.6383118629455566, | |
| "learning_rate": 1.7502594258042202e-05, | |
| "loss": 0.2562, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 6.42, | |
| "grad_norm": 4.9596991539001465, | |
| "learning_rate": 1.6810792113455554e-05, | |
| "loss": 0.5795, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "grad_norm": 2.922712802886963, | |
| "learning_rate": 1.6118989968868905e-05, | |
| "loss": 0.421, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 6.46, | |
| "grad_norm": 2.0401623249053955, | |
| "learning_rate": 1.5427187824282254e-05, | |
| "loss": 0.4283, | |
| "step": 2670 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "grad_norm": 0.9165148735046387, | |
| "learning_rate": 1.4735385679695607e-05, | |
| "loss": 0.4512, | |
| "step": 2680 | |
| }, | |
| { | |
| "epoch": 6.51, | |
| "grad_norm": 4.587483882904053, | |
| "learning_rate": 1.4043583535108959e-05, | |
| "loss": 0.4664, | |
| "step": 2690 | |
| }, | |
| { | |
| "epoch": 6.54, | |
| "grad_norm": 4.216481685638428, | |
| "learning_rate": 1.335178139052231e-05, | |
| "loss": 0.3407, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 6.54, | |
| "eval_accuracy": 0.87221269296741, | |
| "eval_loss": 0.5147121548652649, | |
| "eval_runtime": 6.1635, | |
| "eval_samples_per_second": 189.179, | |
| "eval_steps_per_second": 23.688, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 6.56, | |
| "grad_norm": 1.7551047801971436, | |
| "learning_rate": 1.2659979245935664e-05, | |
| "loss": 0.4725, | |
| "step": 2710 | |
| }, | |
| { | |
| "epoch": 6.59, | |
| "grad_norm": 4.851523399353027, | |
| "learning_rate": 1.1968177101349016e-05, | |
| "loss": 0.4639, | |
| "step": 2720 | |
| }, | |
| { | |
| "epoch": 6.61, | |
| "grad_norm": 6.040704727172852, | |
| "learning_rate": 1.1276374956762366e-05, | |
| "loss": 0.3146, | |
| "step": 2730 | |
| }, | |
| { | |
| "epoch": 6.63, | |
| "grad_norm": 1.6925532817840576, | |
| "learning_rate": 1.0584572812175717e-05, | |
| "loss": 0.3665, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "grad_norm": 2.9491493701934814, | |
| "learning_rate": 9.89277066758907e-06, | |
| "loss": 0.467, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 6.68, | |
| "grad_norm": 2.1744699478149414, | |
| "learning_rate": 9.200968523002422e-06, | |
| "loss": 0.3542, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 6.71, | |
| "grad_norm": 3.170931577682495, | |
| "learning_rate": 8.509166378415774e-06, | |
| "loss": 0.5874, | |
| "step": 2770 | |
| }, | |
| { | |
| "epoch": 6.73, | |
| "grad_norm": 3.2446773052215576, | |
| "learning_rate": 7.817364233829124e-06, | |
| "loss": 0.3705, | |
| "step": 2780 | |
| }, | |
| { | |
| "epoch": 6.76, | |
| "grad_norm": 3.8055498600006104, | |
| "learning_rate": 7.125562089242477e-06, | |
| "loss": 0.3164, | |
| "step": 2790 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "grad_norm": 2.3979437351226807, | |
| "learning_rate": 6.4337599446558285e-06, | |
| "loss": 0.4043, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "eval_accuracy": 0.869639794168096, | |
| "eval_loss": 0.5081329345703125, | |
| "eval_runtime": 6.6143, | |
| "eval_samples_per_second": 176.285, | |
| "eval_steps_per_second": 22.073, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 6.8, | |
| "grad_norm": 1.7395985126495361, | |
| "learning_rate": 5.74195780006918e-06, | |
| "loss": 0.3624, | |
| "step": 2810 | |
| }, | |
| { | |
| "epoch": 6.83, | |
| "grad_norm": 2.924905300140381, | |
| "learning_rate": 5.050155655482532e-06, | |
| "loss": 0.4046, | |
| "step": 2820 | |
| }, | |
| { | |
| "epoch": 6.85, | |
| "grad_norm": 11.709400177001953, | |
| "learning_rate": 4.358353510895884e-06, | |
| "loss": 0.4807, | |
| "step": 2830 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "grad_norm": 6.416582107543945, | |
| "learning_rate": 3.666551366309236e-06, | |
| "loss": 0.4782, | |
| "step": 2840 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "grad_norm": 6.1391448974609375, | |
| "learning_rate": 2.9747492217225875e-06, | |
| "loss": 0.4852, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 6.92, | |
| "grad_norm": 3.525520086288452, | |
| "learning_rate": 2.2829470771359392e-06, | |
| "loss": 0.4282, | |
| "step": 2860 | |
| }, | |
| { | |
| "epoch": 6.95, | |
| "grad_norm": 1.4197200536727905, | |
| "learning_rate": 1.591144932549291e-06, | |
| "loss": 0.4337, | |
| "step": 2870 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "grad_norm": 4.016748905181885, | |
| "learning_rate": 8.993427879626428e-07, | |
| "loss": 0.3915, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 2.1515309810638428, | |
| "learning_rate": 2.0754064337599448e-07, | |
| "loss": 0.4095, | |
| "step": 2890 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "step": 2891, | |
| "total_flos": 3.5833623598425784e+18, | |
| "train_loss": 0.7298227465279536, | |
| "train_runtime": 1041.6701, | |
| "train_samples_per_second": 44.372, | |
| "train_steps_per_second": 2.775 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 2891, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 7, | |
| "save_steps": 100, | |
| "total_flos": 3.5833623598425784e+18, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |