{ "best_metric": null, "best_model_checkpoint": null, "epoch": 2.9961549837326236, "eval_steps": 500, "global_step": 1266, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.023661638568470866, "grad_norm": 5.716220186648855, "learning_rate": 5e-06, "loss": 0.8897, "step": 10 }, { "epoch": 0.04732327713694173, "grad_norm": 0.8490804690852378, "learning_rate": 5e-06, "loss": 0.7877, "step": 20 }, { "epoch": 0.0709849157054126, "grad_norm": 0.8359497191663584, "learning_rate": 5e-06, "loss": 0.7533, "step": 30 }, { "epoch": 0.09464655427388347, "grad_norm": 2.872573622069312, "learning_rate": 5e-06, "loss": 0.7354, "step": 40 }, { "epoch": 0.11830819284235433, "grad_norm": 1.2235372630281218, "learning_rate": 5e-06, "loss": 0.726, "step": 50 }, { "epoch": 0.1419698314108252, "grad_norm": 0.7914495021160732, "learning_rate": 5e-06, "loss": 0.7152, "step": 60 }, { "epoch": 0.16563146997929606, "grad_norm": 0.6440056541571992, "learning_rate": 5e-06, "loss": 0.7101, "step": 70 }, { "epoch": 0.18929310854776693, "grad_norm": 1.2255311186058144, "learning_rate": 5e-06, "loss": 0.7007, "step": 80 }, { "epoch": 0.2129547471162378, "grad_norm": 0.5863287056241707, "learning_rate": 5e-06, "loss": 0.6856, "step": 90 }, { "epoch": 0.23661638568470866, "grad_norm": 0.6673942726540693, "learning_rate": 5e-06, "loss": 0.685, "step": 100 }, { "epoch": 0.26027802425317953, "grad_norm": 0.6052355221282993, "learning_rate": 5e-06, "loss": 0.6898, "step": 110 }, { "epoch": 0.2839396628216504, "grad_norm": 0.6230907972132269, "learning_rate": 5e-06, "loss": 0.6772, "step": 120 }, { "epoch": 0.30760130139012126, "grad_norm": 0.5418727176057381, "learning_rate": 5e-06, "loss": 0.6733, "step": 130 }, { "epoch": 0.33126293995859213, "grad_norm": 0.6020619371732497, "learning_rate": 5e-06, "loss": 0.6819, "step": 140 }, { "epoch": 0.354924578527063, "grad_norm": 0.8518067973190109, "learning_rate": 5e-06, "loss": 0.6648, "step": 150 }, { "epoch": 0.37858621709553386, "grad_norm": 0.5115922350127938, "learning_rate": 5e-06, "loss": 0.6691, "step": 160 }, { "epoch": 0.4022478556640047, "grad_norm": 0.7022530591693269, "learning_rate": 5e-06, "loss": 0.667, "step": 170 }, { "epoch": 0.4259094942324756, "grad_norm": 0.5834704070363212, "learning_rate": 5e-06, "loss": 0.6739, "step": 180 }, { "epoch": 0.44957113280094646, "grad_norm": 0.4653603355749383, "learning_rate": 5e-06, "loss": 0.6698, "step": 190 }, { "epoch": 0.4732327713694173, "grad_norm": 0.568232089382732, "learning_rate": 5e-06, "loss": 0.6688, "step": 200 }, { "epoch": 0.4968944099378882, "grad_norm": 1.0573970656294764, "learning_rate": 5e-06, "loss": 0.6697, "step": 210 }, { "epoch": 0.5205560485063591, "grad_norm": 0.7158198022991291, "learning_rate": 5e-06, "loss": 0.6681, "step": 220 }, { "epoch": 0.54421768707483, "grad_norm": 0.43788884341448125, "learning_rate": 5e-06, "loss": 0.6603, "step": 230 }, { "epoch": 0.5678793256433008, "grad_norm": 0.4725698050393869, "learning_rate": 5e-06, "loss": 0.6645, "step": 240 }, { "epoch": 0.5915409642117717, "grad_norm": 0.6197309721248793, "learning_rate": 5e-06, "loss": 0.6616, "step": 250 }, { "epoch": 0.6152026027802425, "grad_norm": 0.5419735846310992, "learning_rate": 5e-06, "loss": 0.652, "step": 260 }, { "epoch": 0.6388642413487134, "grad_norm": 0.7492458117282386, "learning_rate": 5e-06, "loss": 0.6641, "step": 270 }, { "epoch": 0.6625258799171843, "grad_norm": 0.6330397603875498, "learning_rate": 5e-06, "loss": 0.6652, "step": 280 }, { "epoch": 0.6861875184856552, "grad_norm": 0.5065865148226276, "learning_rate": 5e-06, "loss": 0.6597, "step": 290 }, { "epoch": 0.709849157054126, "grad_norm": 0.6357867453691719, "learning_rate": 5e-06, "loss": 0.6535, "step": 300 }, { "epoch": 0.7335107956225969, "grad_norm": 0.5149227689012754, "learning_rate": 5e-06, "loss": 0.6619, "step": 310 }, { "epoch": 0.7571724341910677, "grad_norm": 0.44037598215405893, "learning_rate": 5e-06, "loss": 0.6556, "step": 320 }, { "epoch": 0.7808340727595386, "grad_norm": 0.5181894268105267, "learning_rate": 5e-06, "loss": 0.6541, "step": 330 }, { "epoch": 0.8044957113280095, "grad_norm": 0.6098945421576618, "learning_rate": 5e-06, "loss": 0.6538, "step": 340 }, { "epoch": 0.8281573498964804, "grad_norm": 0.5384169075272255, "learning_rate": 5e-06, "loss": 0.6602, "step": 350 }, { "epoch": 0.8518189884649512, "grad_norm": 0.47214684121487954, "learning_rate": 5e-06, "loss": 0.6538, "step": 360 }, { "epoch": 0.8754806270334221, "grad_norm": 0.4904597024034496, "learning_rate": 5e-06, "loss": 0.6567, "step": 370 }, { "epoch": 0.8991422656018929, "grad_norm": 0.4775889282770322, "learning_rate": 5e-06, "loss": 0.6478, "step": 380 }, { "epoch": 0.9228039041703638, "grad_norm": 0.6785347844213175, "learning_rate": 5e-06, "loss": 0.6553, "step": 390 }, { "epoch": 0.9464655427388347, "grad_norm": 0.48131943447081366, "learning_rate": 5e-06, "loss": 0.6466, "step": 400 }, { "epoch": 0.9701271813073056, "grad_norm": 0.4819882000845211, "learning_rate": 5e-06, "loss": 0.6491, "step": 410 }, { "epoch": 0.9937888198757764, "grad_norm": 0.48326887732044893, "learning_rate": 5e-06, "loss": 0.648, "step": 420 }, { "epoch": 0.9985211475894705, "eval_loss": 0.6503860950469971, "eval_runtime": 295.5868, "eval_samples_per_second": 38.53, "eval_steps_per_second": 0.602, "step": 422 }, { "epoch": 1.0177462289263532, "grad_norm": 0.5034024020075702, "learning_rate": 5e-06, "loss": 0.6519, "step": 430 }, { "epoch": 1.041407867494824, "grad_norm": 0.5181852823487637, "learning_rate": 5e-06, "loss": 0.6054, "step": 440 }, { "epoch": 1.0650695060632949, "grad_norm": 0.8086692425168592, "learning_rate": 5e-06, "loss": 0.6036, "step": 450 }, { "epoch": 1.0887311446317658, "grad_norm": 0.7087824451639375, "learning_rate": 5e-06, "loss": 0.6138, "step": 460 }, { "epoch": 1.1123927832002367, "grad_norm": 0.6293561803711789, "learning_rate": 5e-06, "loss": 0.611, "step": 470 }, { "epoch": 1.1360544217687074, "grad_norm": 0.8003707364488958, "learning_rate": 5e-06, "loss": 0.6114, "step": 480 }, { "epoch": 1.1597160603371783, "grad_norm": 0.5556436203083284, "learning_rate": 5e-06, "loss": 0.6083, "step": 490 }, { "epoch": 1.1833776989056493, "grad_norm": 0.5222890058260059, "learning_rate": 5e-06, "loss": 0.6038, "step": 500 }, { "epoch": 1.2070393374741202, "grad_norm": 0.5834395725334883, "learning_rate": 5e-06, "loss": 0.6038, "step": 510 }, { "epoch": 1.2307009760425909, "grad_norm": 0.6523486232667094, "learning_rate": 5e-06, "loss": 0.6103, "step": 520 }, { "epoch": 1.2543626146110618, "grad_norm": 0.509097134236641, "learning_rate": 5e-06, "loss": 0.6129, "step": 530 }, { "epoch": 1.2780242531795327, "grad_norm": 0.6109585275321274, "learning_rate": 5e-06, "loss": 0.6125, "step": 540 }, { "epoch": 1.3016858917480034, "grad_norm": 0.4671830560905703, "learning_rate": 5e-06, "loss": 0.6094, "step": 550 }, { "epoch": 1.3253475303164743, "grad_norm": 0.43619649641699987, "learning_rate": 5e-06, "loss": 0.6076, "step": 560 }, { "epoch": 1.3490091688849453, "grad_norm": 0.9334517894855655, "learning_rate": 5e-06, "loss": 0.6086, "step": 570 }, { "epoch": 1.3726708074534162, "grad_norm": 0.6158441071105143, "learning_rate": 5e-06, "loss": 0.6114, "step": 580 }, { "epoch": 1.396332446021887, "grad_norm": 0.4177935072924951, "learning_rate": 5e-06, "loss": 0.6118, "step": 590 }, { "epoch": 1.4199940845903578, "grad_norm": 0.5261498840709943, "learning_rate": 5e-06, "loss": 0.6012, "step": 600 }, { "epoch": 1.4436557231588287, "grad_norm": 0.4118403315344034, "learning_rate": 5e-06, "loss": 0.6006, "step": 610 }, { "epoch": 1.4673173617272997, "grad_norm": 0.4500509679639768, "learning_rate": 5e-06, "loss": 0.6041, "step": 620 }, { "epoch": 1.4909790002957704, "grad_norm": 0.47480411557819086, "learning_rate": 5e-06, "loss": 0.6161, "step": 630 }, { "epoch": 1.5146406388642415, "grad_norm": 0.44192140481751196, "learning_rate": 5e-06, "loss": 0.6104, "step": 640 }, { "epoch": 1.5383022774327122, "grad_norm": 0.43019141037435493, "learning_rate": 5e-06, "loss": 0.6044, "step": 650 }, { "epoch": 1.5619639160011831, "grad_norm": 0.5928638480003088, "learning_rate": 5e-06, "loss": 0.6093, "step": 660 }, { "epoch": 1.585625554569654, "grad_norm": 0.680185794067505, "learning_rate": 5e-06, "loss": 0.6018, "step": 670 }, { "epoch": 1.6092871931381247, "grad_norm": 0.4446498601791125, "learning_rate": 5e-06, "loss": 0.6103, "step": 680 }, { "epoch": 1.6329488317065957, "grad_norm": 0.5328567150499224, "learning_rate": 5e-06, "loss": 0.6013, "step": 690 }, { "epoch": 1.6566104702750666, "grad_norm": 0.5840475503667699, "learning_rate": 5e-06, "loss": 0.6109, "step": 700 }, { "epoch": 1.6802721088435373, "grad_norm": 0.5235562677113405, "learning_rate": 5e-06, "loss": 0.6094, "step": 710 }, { "epoch": 1.7039337474120084, "grad_norm": 0.6484686160336842, "learning_rate": 5e-06, "loss": 0.6122, "step": 720 }, { "epoch": 1.7275953859804791, "grad_norm": 0.5923644814057659, "learning_rate": 5e-06, "loss": 0.612, "step": 730 }, { "epoch": 1.75125702454895, "grad_norm": 0.4896255525659027, "learning_rate": 5e-06, "loss": 0.6042, "step": 740 }, { "epoch": 1.774918663117421, "grad_norm": 0.47313474988505516, "learning_rate": 5e-06, "loss": 0.6105, "step": 750 }, { "epoch": 1.7985803016858917, "grad_norm": 0.4971344193994014, "learning_rate": 5e-06, "loss": 0.6146, "step": 760 }, { "epoch": 1.8222419402543626, "grad_norm": 0.42650481882946567, "learning_rate": 5e-06, "loss": 0.6161, "step": 770 }, { "epoch": 1.8459035788228335, "grad_norm": 0.45409425789151847, "learning_rate": 5e-06, "loss": 0.607, "step": 780 }, { "epoch": 1.8695652173913042, "grad_norm": 0.47548804917566284, "learning_rate": 5e-06, "loss": 0.6057, "step": 790 }, { "epoch": 1.8932268559597754, "grad_norm": 0.49936009431407224, "learning_rate": 5e-06, "loss": 0.614, "step": 800 }, { "epoch": 1.916888494528246, "grad_norm": 0.42095008482708873, "learning_rate": 5e-06, "loss": 0.6118, "step": 810 }, { "epoch": 1.940550133096717, "grad_norm": 0.469345021146904, "learning_rate": 5e-06, "loss": 0.6, "step": 820 }, { "epoch": 1.964211771665188, "grad_norm": 0.4821117072104332, "learning_rate": 5e-06, "loss": 0.6112, "step": 830 }, { "epoch": 1.9878734102336586, "grad_norm": 0.42444873739826294, "learning_rate": 5e-06, "loss": 0.5984, "step": 840 }, { "epoch": 1.999704229517894, "eval_loss": 0.640017032623291, "eval_runtime": 291.0784, "eval_samples_per_second": 39.127, "eval_steps_per_second": 0.612, "step": 845 }, { "epoch": 2.0118308192842353, "grad_norm": 0.743615658405185, "learning_rate": 5e-06, "loss": 0.612, "step": 850 }, { "epoch": 2.0354924578527065, "grad_norm": 0.6307060227030052, "learning_rate": 5e-06, "loss": 0.5665, "step": 860 }, { "epoch": 2.059154096421177, "grad_norm": 0.4909469687109977, "learning_rate": 5e-06, "loss": 0.5669, "step": 870 }, { "epoch": 2.082815734989648, "grad_norm": 0.4982651206960173, "learning_rate": 5e-06, "loss": 0.5576, "step": 880 }, { "epoch": 2.106477373558119, "grad_norm": 0.5189496162921208, "learning_rate": 5e-06, "loss": 0.5632, "step": 890 }, { "epoch": 2.1301390121265897, "grad_norm": 0.5290452662480181, "learning_rate": 5e-06, "loss": 0.5673, "step": 900 }, { "epoch": 2.1538006506950604, "grad_norm": 0.4298930748962063, "learning_rate": 5e-06, "loss": 0.5608, "step": 910 }, { "epoch": 2.1774622892635316, "grad_norm": 0.46653862184558975, "learning_rate": 5e-06, "loss": 0.5622, "step": 920 }, { "epoch": 2.2011239278320023, "grad_norm": 0.47565404277144174, "learning_rate": 5e-06, "loss": 0.5634, "step": 930 }, { "epoch": 2.2247855664004734, "grad_norm": 0.45977306537518353, "learning_rate": 5e-06, "loss": 0.5642, "step": 940 }, { "epoch": 2.248447204968944, "grad_norm": 0.6195624778560548, "learning_rate": 5e-06, "loss": 0.5701, "step": 950 }, { "epoch": 2.272108843537415, "grad_norm": 0.5625286018926492, "learning_rate": 5e-06, "loss": 0.5624, "step": 960 }, { "epoch": 2.295770482105886, "grad_norm": 0.5516894450156284, "learning_rate": 5e-06, "loss": 0.5688, "step": 970 }, { "epoch": 2.3194321206743567, "grad_norm": 0.46703213745702465, "learning_rate": 5e-06, "loss": 0.5687, "step": 980 }, { "epoch": 2.3430937592428274, "grad_norm": 0.4529577298482224, "learning_rate": 5e-06, "loss": 0.5664, "step": 990 }, { "epoch": 2.3667553978112985, "grad_norm": 0.5294804903105876, "learning_rate": 5e-06, "loss": 0.5679, "step": 1000 }, { "epoch": 2.390417036379769, "grad_norm": 0.476104510415757, "learning_rate": 5e-06, "loss": 0.5661, "step": 1010 }, { "epoch": 2.4140786749482404, "grad_norm": 0.50214160643677, "learning_rate": 5e-06, "loss": 0.5632, "step": 1020 }, { "epoch": 2.437740313516711, "grad_norm": 0.4770392958453329, "learning_rate": 5e-06, "loss": 0.5646, "step": 1030 }, { "epoch": 2.4614019520851818, "grad_norm": 0.4746961197857643, "learning_rate": 5e-06, "loss": 0.5663, "step": 1040 }, { "epoch": 2.485063590653653, "grad_norm": 0.5075465690483602, "learning_rate": 5e-06, "loss": 0.5705, "step": 1050 }, { "epoch": 2.5087252292221236, "grad_norm": 0.5735236324477879, "learning_rate": 5e-06, "loss": 0.5692, "step": 1060 }, { "epoch": 2.5323868677905947, "grad_norm": 0.7357338280472365, "learning_rate": 5e-06, "loss": 0.5693, "step": 1070 }, { "epoch": 2.5560485063590654, "grad_norm": 0.6312728091303266, "learning_rate": 5e-06, "loss": 0.5721, "step": 1080 }, { "epoch": 2.579710144927536, "grad_norm": 0.6063258814160167, "learning_rate": 5e-06, "loss": 0.5668, "step": 1090 }, { "epoch": 2.603371783496007, "grad_norm": 0.512061567286246, "learning_rate": 5e-06, "loss": 0.5706, "step": 1100 }, { "epoch": 2.627033422064478, "grad_norm": 0.4805538505321553, "learning_rate": 5e-06, "loss": 0.5643, "step": 1110 }, { "epoch": 2.6506950606329487, "grad_norm": 0.47434096978031415, "learning_rate": 5e-06, "loss": 0.5784, "step": 1120 }, { "epoch": 2.67435669920142, "grad_norm": 0.48174002692295587, "learning_rate": 5e-06, "loss": 0.5642, "step": 1130 }, { "epoch": 2.6980183377698905, "grad_norm": 0.5206174302871078, "learning_rate": 5e-06, "loss": 0.5647, "step": 1140 }, { "epoch": 2.7216799763383612, "grad_norm": 0.5231066430924299, "learning_rate": 5e-06, "loss": 0.5717, "step": 1150 }, { "epoch": 2.7453416149068324, "grad_norm": 0.5493755325406757, "learning_rate": 5e-06, "loss": 0.5722, "step": 1160 }, { "epoch": 2.769003253475303, "grad_norm": 0.4710457798970187, "learning_rate": 5e-06, "loss": 0.5673, "step": 1170 }, { "epoch": 2.792664892043774, "grad_norm": 0.6017685441197285, "learning_rate": 5e-06, "loss": 0.5673, "step": 1180 }, { "epoch": 2.816326530612245, "grad_norm": 0.48667322523587175, "learning_rate": 5e-06, "loss": 0.5712, "step": 1190 }, { "epoch": 2.8399881691807156, "grad_norm": 0.6136328812041214, "learning_rate": 5e-06, "loss": 0.5689, "step": 1200 }, { "epoch": 2.8636498077491868, "grad_norm": 0.4848336832061156, "learning_rate": 5e-06, "loss": 0.5683, "step": 1210 }, { "epoch": 2.8873114463176575, "grad_norm": 0.6143451558754445, "learning_rate": 5e-06, "loss": 0.5611, "step": 1220 }, { "epoch": 2.9109730848861286, "grad_norm": 0.45186971294615735, "learning_rate": 5e-06, "loss": 0.5713, "step": 1230 }, { "epoch": 2.9346347234545993, "grad_norm": 0.45118967147278705, "learning_rate": 5e-06, "loss": 0.5703, "step": 1240 }, { "epoch": 2.95829636202307, "grad_norm": 0.5082137766462498, "learning_rate": 5e-06, "loss": 0.5791, "step": 1250 }, { "epoch": 2.9819580005915407, "grad_norm": 0.5446211548606755, "learning_rate": 5e-06, "loss": 0.5714, "step": 1260 }, { "epoch": 2.9961549837326236, "eval_loss": 0.6407967805862427, "eval_runtime": 281.5097, "eval_samples_per_second": 40.457, "eval_steps_per_second": 0.632, "step": 1266 }, { "epoch": 2.9961549837326236, "step": 1266, "total_flos": 2120387773071360.0, "train_loss": 0.6192890667425701, "train_runtime": 41807.2835, "train_samples_per_second": 15.526, "train_steps_per_second": 0.03 } ], "logging_steps": 10, "max_steps": 1266, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 2120387773071360.0, "train_batch_size": 8, "trial_name": null, "trial_params": null }