{ "best_metric": 0.6518497467041016, "best_model_checkpoint": "../../experiments_checkpoints/MAdAiLab/google/flan_t5_small_amazon/checkpoint-1100", "epoch": 3.0, "eval_steps": 50, "global_step": 1140, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.03, "grad_norm": 3.3804776668548584, "learning_rate": 0.0004956140350877193, "loss": 3.1062, "step": 10 }, { "epoch": 0.05, "grad_norm": 2.343827962875366, "learning_rate": 0.0004912280701754386, "loss": 2.9891, "step": 20 }, { "epoch": 0.08, "grad_norm": 1.987942099571228, "learning_rate": 0.0004868421052631579, "loss": 2.8938, "step": 30 }, { "epoch": 0.11, "grad_norm": 2.4765126705169678, "learning_rate": 0.0004824561403508772, "loss": 2.4308, "step": 40 }, { "epoch": 0.13, "grad_norm": 3.325758934020996, "learning_rate": 0.00047807017543859647, "loss": 1.9282, "step": 50 }, { "epoch": 0.13, "eval_accuracy": 0.5737812911725956, "eval_f1_macro": 0.44362854909805843, "eval_f1_micro": 0.5737812911725956, "eval_loss": 1.590394139289856, "eval_runtime": 1.5287, "eval_samples_per_second": 992.985, "eval_steps_per_second": 31.399, "step": 50 }, { "epoch": 0.16, "grad_norm": 3.0366220474243164, "learning_rate": 0.00047368421052631577, "loss": 1.6028, "step": 60 }, { "epoch": 0.18, "grad_norm": 3.9418632984161377, "learning_rate": 0.0004692982456140351, "loss": 1.3737, "step": 70 }, { "epoch": 0.21, "grad_norm": 3.228276014328003, "learning_rate": 0.00046491228070175437, "loss": 1.2147, "step": 80 }, { "epoch": 0.24, "grad_norm": 3.007902145385742, "learning_rate": 0.0004605263157894737, "loss": 1.2373, "step": 90 }, { "epoch": 0.26, "grad_norm": 3.132214307785034, "learning_rate": 0.000456140350877193, "loss": 1.1323, "step": 100 }, { "epoch": 0.26, "eval_accuracy": 0.663372859025033, "eval_f1_macro": 0.5640942564973862, "eval_f1_micro": 0.663372859025033, "eval_loss": 1.1076021194458008, "eval_runtime": 1.5766, "eval_samples_per_second": 962.833, "eval_steps_per_second": 30.445, "step": 100 }, { "epoch": 0.29, "grad_norm": 4.991384506225586, "learning_rate": 0.00045175438596491233, "loss": 1.21, "step": 110 }, { "epoch": 0.32, "grad_norm": 4.180238723754883, "learning_rate": 0.0004473684210526316, "loss": 1.0477, "step": 120 }, { "epoch": 0.34, "grad_norm": 3.497032642364502, "learning_rate": 0.0004429824561403509, "loss": 1.1554, "step": 130 }, { "epoch": 0.37, "grad_norm": 3.396751642227173, "learning_rate": 0.0004385964912280702, "loss": 0.9906, "step": 140 }, { "epoch": 0.39, "grad_norm": 2.457590341567993, "learning_rate": 0.0004342105263157895, "loss": 0.9976, "step": 150 }, { "epoch": 0.39, "eval_accuracy": 0.7206851119894598, "eval_f1_macro": 0.646835154821118, "eval_f1_micro": 0.7206851119894598, "eval_loss": 0.9464844465255737, "eval_runtime": 1.5277, "eval_samples_per_second": 993.644, "eval_steps_per_second": 31.42, "step": 150 }, { "epoch": 0.42, "grad_norm": 4.1680402755737305, "learning_rate": 0.0004298245614035088, "loss": 0.9004, "step": 160 }, { "epoch": 0.45, "grad_norm": 3.452507734298706, "learning_rate": 0.0004254385964912281, "loss": 1.0064, "step": 170 }, { "epoch": 0.47, "grad_norm": 2.8887767791748047, "learning_rate": 0.00042105263157894734, "loss": 0.9662, "step": 180 }, { "epoch": 0.5, "grad_norm": 5.135780334472656, "learning_rate": 0.0004166666666666667, "loss": 1.0267, "step": 190 }, { "epoch": 0.53, "grad_norm": 3.5169897079467773, "learning_rate": 0.000412280701754386, "loss": 0.928, "step": 200 }, { "epoch": 0.53, "eval_accuracy": 0.733201581027668, "eval_f1_macro": 0.6859595929599217, "eval_f1_micro": 0.733201581027668, "eval_loss": 0.8840087652206421, "eval_runtime": 1.5811, "eval_samples_per_second": 960.099, "eval_steps_per_second": 30.359, "step": 200 }, { "epoch": 0.55, "grad_norm": 3.8375213146209717, "learning_rate": 0.00040789473684210524, "loss": 0.8223, "step": 210 }, { "epoch": 0.58, "grad_norm": 3.949693441390991, "learning_rate": 0.00040350877192982455, "loss": 0.9726, "step": 220 }, { "epoch": 0.61, "grad_norm": 3.1758928298950195, "learning_rate": 0.0003991228070175439, "loss": 0.8881, "step": 230 }, { "epoch": 0.63, "grad_norm": 4.932584285736084, "learning_rate": 0.00039473684210526315, "loss": 0.9233, "step": 240 }, { "epoch": 0.66, "grad_norm": 3.125002861022949, "learning_rate": 0.00039035087719298245, "loss": 0.974, "step": 250 }, { "epoch": 0.66, "eval_accuracy": 0.7523056653491436, "eval_f1_macro": 0.7025921892520358, "eval_f1_micro": 0.7523056653491436, "eval_loss": 0.8179047107696533, "eval_runtime": 1.5845, "eval_samples_per_second": 958.002, "eval_steps_per_second": 30.293, "step": 250 }, { "epoch": 0.68, "grad_norm": 3.811002016067505, "learning_rate": 0.00038596491228070175, "loss": 0.8885, "step": 260 }, { "epoch": 0.71, "grad_norm": 2.872647762298584, "learning_rate": 0.00038157894736842105, "loss": 0.9161, "step": 270 }, { "epoch": 0.74, "grad_norm": 3.938746452331543, "learning_rate": 0.00037719298245614036, "loss": 0.7768, "step": 280 }, { "epoch": 0.76, "grad_norm": 3.9342243671417236, "learning_rate": 0.00037280701754385966, "loss": 0.8114, "step": 290 }, { "epoch": 0.79, "grad_norm": 3.424884557723999, "learning_rate": 0.00036842105263157896, "loss": 0.8206, "step": 300 }, { "epoch": 0.79, "eval_accuracy": 0.7674571805006588, "eval_f1_macro": 0.7181951416155129, "eval_f1_micro": 0.7674571805006588, "eval_loss": 0.7982419729232788, "eval_runtime": 1.5868, "eval_samples_per_second": 956.662, "eval_steps_per_second": 30.25, "step": 300 }, { "epoch": 0.82, "grad_norm": 4.263403415679932, "learning_rate": 0.00036403508771929826, "loss": 0.7327, "step": 310 }, { "epoch": 0.84, "grad_norm": 3.17680025100708, "learning_rate": 0.00035964912280701756, "loss": 0.8797, "step": 320 }, { "epoch": 0.87, "grad_norm": 3.7559242248535156, "learning_rate": 0.00035526315789473687, "loss": 0.9148, "step": 330 }, { "epoch": 0.89, "grad_norm": 3.6917154788970947, "learning_rate": 0.0003508771929824561, "loss": 0.7763, "step": 340 }, { "epoch": 0.92, "grad_norm": 3.3386855125427246, "learning_rate": 0.00034649122807017547, "loss": 0.8863, "step": 350 }, { "epoch": 0.92, "eval_accuracy": 0.7773386034255599, "eval_f1_macro": 0.7301140464284491, "eval_f1_micro": 0.7773386034255599, "eval_loss": 0.7444999814033508, "eval_runtime": 1.593, "eval_samples_per_second": 952.941, "eval_steps_per_second": 30.133, "step": 350 }, { "epoch": 0.95, "grad_norm": 2.625443935394287, "learning_rate": 0.00034210526315789477, "loss": 0.7353, "step": 360 }, { "epoch": 0.97, "grad_norm": 4.095985412597656, "learning_rate": 0.000337719298245614, "loss": 0.9274, "step": 370 }, { "epoch": 1.0, "grad_norm": 2.8155393600463867, "learning_rate": 0.0003333333333333333, "loss": 0.7887, "step": 380 }, { "epoch": 1.03, "grad_norm": 3.3496756553649902, "learning_rate": 0.0003289473684210527, "loss": 0.682, "step": 390 }, { "epoch": 1.05, "grad_norm": 3.9287924766540527, "learning_rate": 0.0003245614035087719, "loss": 0.713, "step": 400 }, { "epoch": 1.05, "eval_accuracy": 0.7740447957839263, "eval_f1_macro": 0.7390551518744245, "eval_f1_micro": 0.7740447957839263, "eval_loss": 0.7427995204925537, "eval_runtime": 1.5483, "eval_samples_per_second": 980.422, "eval_steps_per_second": 31.001, "step": 400 }, { "epoch": 1.08, "grad_norm": 3.985713243484497, "learning_rate": 0.00032017543859649123, "loss": 0.597, "step": 410 }, { "epoch": 1.11, "grad_norm": 3.647797107696533, "learning_rate": 0.00031578947368421053, "loss": 0.6752, "step": 420 }, { "epoch": 1.13, "grad_norm": 3.2907509803771973, "learning_rate": 0.00031140350877192983, "loss": 0.6903, "step": 430 }, { "epoch": 1.16, "grad_norm": 4.062851905822754, "learning_rate": 0.00030701754385964913, "loss": 0.5708, "step": 440 }, { "epoch": 1.18, "grad_norm": 3.1373462677001953, "learning_rate": 0.00030263157894736844, "loss": 0.6544, "step": 450 }, { "epoch": 1.18, "eval_accuracy": 0.7852437417654808, "eval_f1_macro": 0.7379347673603733, "eval_f1_micro": 0.7852437417654808, "eval_loss": 0.7234027981758118, "eval_runtime": 1.5405, "eval_samples_per_second": 985.365, "eval_steps_per_second": 31.158, "step": 450 }, { "epoch": 1.21, "grad_norm": 3.7265396118164062, "learning_rate": 0.0002982456140350877, "loss": 0.7901, "step": 460 }, { "epoch": 1.24, "grad_norm": 2.8776745796203613, "learning_rate": 0.00029385964912280704, "loss": 0.5103, "step": 470 }, { "epoch": 1.26, "grad_norm": 4.379913806915283, "learning_rate": 0.00028947368421052634, "loss": 0.7062, "step": 480 }, { "epoch": 1.29, "grad_norm": 3.8924524784088135, "learning_rate": 0.00028508771929824564, "loss": 0.657, "step": 490 }, { "epoch": 1.32, "grad_norm": 4.120116233825684, "learning_rate": 0.0002807017543859649, "loss": 0.6034, "step": 500 }, { "epoch": 1.32, "eval_accuracy": 0.7924901185770751, "eval_f1_macro": 0.7648022166570957, "eval_f1_micro": 0.7924901185770751, "eval_loss": 0.7140358090400696, "eval_runtime": 1.5497, "eval_samples_per_second": 979.546, "eval_steps_per_second": 30.974, "step": 500 }, { "epoch": 1.34, "grad_norm": 3.7763350009918213, "learning_rate": 0.00027631578947368425, "loss": 0.5917, "step": 510 }, { "epoch": 1.37, "grad_norm": 3.2136292457580566, "learning_rate": 0.00027192982456140355, "loss": 0.7325, "step": 520 }, { "epoch": 1.39, "grad_norm": 5.103039264678955, "learning_rate": 0.0002675438596491228, "loss": 0.7051, "step": 530 }, { "epoch": 1.42, "grad_norm": 2.6361660957336426, "learning_rate": 0.0002631578947368421, "loss": 0.5079, "step": 540 }, { "epoch": 1.45, "grad_norm": 3.617443561553955, "learning_rate": 0.00025877192982456146, "loss": 0.588, "step": 550 }, { "epoch": 1.45, "eval_accuracy": 0.7931488801054019, "eval_f1_macro": 0.7585136991271696, "eval_f1_micro": 0.7931488801054019, "eval_loss": 0.7061514258384705, "eval_runtime": 1.5944, "eval_samples_per_second": 952.063, "eval_steps_per_second": 30.105, "step": 550 }, { "epoch": 1.47, "grad_norm": 3.122095823287964, "learning_rate": 0.0002543859649122807, "loss": 0.6284, "step": 560 }, { "epoch": 1.5, "grad_norm": 2.7279186248779297, "learning_rate": 0.00025, "loss": 0.6255, "step": 570 }, { "epoch": 1.53, "grad_norm": 3.1004347801208496, "learning_rate": 0.0002456140350877193, "loss": 0.5774, "step": 580 }, { "epoch": 1.55, "grad_norm": 3.556870937347412, "learning_rate": 0.0002412280701754386, "loss": 0.5078, "step": 590 }, { "epoch": 1.58, "grad_norm": 4.2002854347229, "learning_rate": 0.00023684210526315788, "loss": 0.6035, "step": 600 }, { "epoch": 1.58, "eval_accuracy": 0.7924901185770751, "eval_f1_macro": 0.7479706258386674, "eval_f1_micro": 0.7924901185770751, "eval_loss": 0.711154043674469, "eval_runtime": 1.6011, "eval_samples_per_second": 948.117, "eval_steps_per_second": 29.98, "step": 600 }, { "epoch": 1.61, "grad_norm": 3.03747296333313, "learning_rate": 0.00023245614035087719, "loss": 0.6233, "step": 610 }, { "epoch": 1.63, "grad_norm": 2.1721749305725098, "learning_rate": 0.0002280701754385965, "loss": 0.6446, "step": 620 }, { "epoch": 1.66, "grad_norm": 2.81701922416687, "learning_rate": 0.0002236842105263158, "loss": 0.6268, "step": 630 }, { "epoch": 1.68, "grad_norm": 4.8511128425598145, "learning_rate": 0.0002192982456140351, "loss": 0.6635, "step": 640 }, { "epoch": 1.71, "grad_norm": 3.052924871444702, "learning_rate": 0.0002149122807017544, "loss": 0.6616, "step": 650 }, { "epoch": 1.71, "eval_accuracy": 0.7938076416337286, "eval_f1_macro": 0.7577530795114652, "eval_f1_micro": 0.7938076416337286, "eval_loss": 0.6783204674720764, "eval_runtime": 1.6022, "eval_samples_per_second": 947.452, "eval_steps_per_second": 29.959, "step": 650 }, { "epoch": 1.74, "grad_norm": 3.520653247833252, "learning_rate": 0.00021052631578947367, "loss": 0.5442, "step": 660 }, { "epoch": 1.76, "grad_norm": 2.6852402687072754, "learning_rate": 0.000206140350877193, "loss": 0.5909, "step": 670 }, { "epoch": 1.79, "grad_norm": 2.394245147705078, "learning_rate": 0.00020175438596491227, "loss": 0.6419, "step": 680 }, { "epoch": 1.82, "grad_norm": 3.5546963214874268, "learning_rate": 0.00019736842105263157, "loss": 0.6128, "step": 690 }, { "epoch": 1.84, "grad_norm": 2.6713662147521973, "learning_rate": 0.00019298245614035088, "loss": 0.6334, "step": 700 }, { "epoch": 1.84, "eval_accuracy": 0.8003952569169961, "eval_f1_macro": 0.7850643712314976, "eval_f1_micro": 0.8003952569169961, "eval_loss": 0.6815611720085144, "eval_runtime": 1.601, "eval_samples_per_second": 948.157, "eval_steps_per_second": 29.981, "step": 700 }, { "epoch": 1.87, "grad_norm": 2.6882362365722656, "learning_rate": 0.00018859649122807018, "loss": 0.5586, "step": 710 }, { "epoch": 1.89, "grad_norm": 3.613619565963745, "learning_rate": 0.00018421052631578948, "loss": 0.5914, "step": 720 }, { "epoch": 1.92, "grad_norm": 2.6678318977355957, "learning_rate": 0.00017982456140350878, "loss": 0.6132, "step": 730 }, { "epoch": 1.95, "grad_norm": 2.920417070388794, "learning_rate": 0.00017543859649122806, "loss": 0.6667, "step": 740 }, { "epoch": 1.97, "grad_norm": 4.305054664611816, "learning_rate": 0.00017105263157894739, "loss": 0.5872, "step": 750 }, { "epoch": 1.97, "eval_accuracy": 0.8036890645586298, "eval_f1_macro": 0.7792442711200399, "eval_f1_micro": 0.8036890645586298, "eval_loss": 0.6531891822814941, "eval_runtime": 1.5978, "eval_samples_per_second": 950.034, "eval_steps_per_second": 30.041, "step": 750 }, { "epoch": 2.0, "grad_norm": 2.5539097785949707, "learning_rate": 0.00016666666666666666, "loss": 0.5254, "step": 760 }, { "epoch": 2.03, "grad_norm": 3.1510868072509766, "learning_rate": 0.00016228070175438596, "loss": 0.4091, "step": 770 }, { "epoch": 2.05, "grad_norm": 3.702329635620117, "learning_rate": 0.00015789473684210527, "loss": 0.4975, "step": 780 }, { "epoch": 2.08, "grad_norm": 5.3907060623168945, "learning_rate": 0.00015350877192982457, "loss": 0.437, "step": 790 }, { "epoch": 2.11, "grad_norm": 3.821787118911743, "learning_rate": 0.00014912280701754384, "loss": 0.4134, "step": 800 }, { "epoch": 2.11, "eval_accuracy": 0.8069828722002635, "eval_f1_macro": 0.7857989316065254, "eval_f1_micro": 0.8069828722002635, "eval_loss": 0.6601086258888245, "eval_runtime": 1.5931, "eval_samples_per_second": 952.843, "eval_steps_per_second": 30.129, "step": 800 }, { "epoch": 2.13, "grad_norm": 2.2001376152038574, "learning_rate": 0.00014473684210526317, "loss": 0.3875, "step": 810 }, { "epoch": 2.16, "grad_norm": 2.7944624423980713, "learning_rate": 0.00014035087719298245, "loss": 0.4485, "step": 820 }, { "epoch": 2.18, "grad_norm": 1.9566526412963867, "learning_rate": 0.00013596491228070177, "loss": 0.396, "step": 830 }, { "epoch": 2.21, "grad_norm": 2.5819900035858154, "learning_rate": 0.00013157894736842105, "loss": 0.4155, "step": 840 }, { "epoch": 2.24, "grad_norm": 3.8049263954162598, "learning_rate": 0.00012719298245614035, "loss": 0.518, "step": 850 }, { "epoch": 2.24, "eval_accuracy": 0.8069828722002635, "eval_f1_macro": 0.7857680865770484, "eval_f1_micro": 0.8069828722002635, "eval_loss": 0.6772085428237915, "eval_runtime": 1.5894, "eval_samples_per_second": 955.055, "eval_steps_per_second": 30.199, "step": 850 }, { "epoch": 2.26, "grad_norm": 4.169273853302002, "learning_rate": 0.00012280701754385965, "loss": 0.3547, "step": 860 }, { "epoch": 2.29, "grad_norm": 3.642315626144409, "learning_rate": 0.00011842105263157894, "loss": 0.4423, "step": 870 }, { "epoch": 2.32, "grad_norm": 3.0137033462524414, "learning_rate": 0.00011403508771929824, "loss": 0.4462, "step": 880 }, { "epoch": 2.34, "grad_norm": 1.681169867515564, "learning_rate": 0.00010964912280701755, "loss": 0.3536, "step": 890 }, { "epoch": 2.37, "grad_norm": 3.0964701175689697, "learning_rate": 0.00010526315789473683, "loss": 0.3891, "step": 900 }, { "epoch": 2.37, "eval_accuracy": 0.8089591567852438, "eval_f1_macro": 0.7866273295700273, "eval_f1_micro": 0.8089591567852438, "eval_loss": 0.6751896142959595, "eval_runtime": 1.5446, "eval_samples_per_second": 982.806, "eval_steps_per_second": 31.077, "step": 900 }, { "epoch": 2.39, "grad_norm": 2.752586841583252, "learning_rate": 0.00010087719298245614, "loss": 0.4731, "step": 910 }, { "epoch": 2.42, "grad_norm": 2.796949863433838, "learning_rate": 9.649122807017544e-05, "loss": 0.5025, "step": 920 }, { "epoch": 2.45, "grad_norm": 3.236764430999756, "learning_rate": 9.210526315789474e-05, "loss": 0.4629, "step": 930 }, { "epoch": 2.47, "grad_norm": 3.6876580715179443, "learning_rate": 8.771929824561403e-05, "loss": 0.4943, "step": 940 }, { "epoch": 2.5, "grad_norm": 4.9102911949157715, "learning_rate": 8.333333333333333e-05, "loss": 0.3389, "step": 950 }, { "epoch": 2.5, "eval_accuracy": 0.8122529644268774, "eval_f1_macro": 0.7914121636262914, "eval_f1_micro": 0.8122529644268774, "eval_loss": 0.6639086008071899, "eval_runtime": 1.5986, "eval_samples_per_second": 949.6, "eval_steps_per_second": 30.027, "step": 950 }, { "epoch": 2.53, "grad_norm": 1.5189881324768066, "learning_rate": 7.894736842105263e-05, "loss": 0.4331, "step": 960 }, { "epoch": 2.55, "grad_norm": 3.3919639587402344, "learning_rate": 7.456140350877192e-05, "loss": 0.5003, "step": 970 }, { "epoch": 2.58, "grad_norm": 4.042901992797852, "learning_rate": 7.017543859649122e-05, "loss": 0.4475, "step": 980 }, { "epoch": 2.61, "grad_norm": 3.0205342769622803, "learning_rate": 6.578947368421052e-05, "loss": 0.4484, "step": 990 }, { "epoch": 2.63, "grad_norm": 3.377220630645752, "learning_rate": 6.140350877192983e-05, "loss": 0.4166, "step": 1000 }, { "epoch": 2.63, "eval_accuracy": 0.8168642951251647, "eval_f1_macro": 0.8010465581589675, "eval_f1_micro": 0.8168642951251647, "eval_loss": 0.6590448021888733, "eval_runtime": 1.5979, "eval_samples_per_second": 950.026, "eval_steps_per_second": 30.04, "step": 1000 }, { "epoch": 2.66, "grad_norm": 3.584700584411621, "learning_rate": 5.701754385964912e-05, "loss": 0.3845, "step": 1010 }, { "epoch": 2.68, "grad_norm": 2.4608445167541504, "learning_rate": 5.263157894736842e-05, "loss": 0.4711, "step": 1020 }, { "epoch": 2.71, "grad_norm": 3.6688997745513916, "learning_rate": 4.824561403508772e-05, "loss": 0.4564, "step": 1030 }, { "epoch": 2.74, "grad_norm": 2.6104586124420166, "learning_rate": 4.3859649122807014e-05, "loss": 0.4098, "step": 1040 }, { "epoch": 2.76, "grad_norm": 4.012241363525391, "learning_rate": 3.9473684210526316e-05, "loss": 0.483, "step": 1050 }, { "epoch": 2.76, "eval_accuracy": 0.8148880105401844, "eval_f1_macro": 0.7936908234810874, "eval_f1_micro": 0.8148880105401844, "eval_loss": 0.6629713177680969, "eval_runtime": 1.5955, "eval_samples_per_second": 951.432, "eval_steps_per_second": 30.085, "step": 1050 }, { "epoch": 2.79, "grad_norm": 3.5108678340911865, "learning_rate": 3.508771929824561e-05, "loss": 0.4483, "step": 1060 }, { "epoch": 2.82, "grad_norm": 3.1787357330322266, "learning_rate": 3.0701754385964913e-05, "loss": 0.5206, "step": 1070 }, { "epoch": 2.84, "grad_norm": 3.5252914428710938, "learning_rate": 2.631578947368421e-05, "loss": 0.5051, "step": 1080 }, { "epoch": 2.87, "grad_norm": 2.644866704940796, "learning_rate": 2.1929824561403507e-05, "loss": 0.4477, "step": 1090 }, { "epoch": 2.89, "grad_norm": 3.4592483043670654, "learning_rate": 1.7543859649122806e-05, "loss": 0.4582, "step": 1100 }, { "epoch": 2.89, "eval_accuracy": 0.8096179183135704, "eval_f1_macro": 0.788232456216749, "eval_f1_micro": 0.8096179183135704, "eval_loss": 0.6518497467041016, "eval_runtime": 1.537, "eval_samples_per_second": 987.659, "eval_steps_per_second": 31.23, "step": 1100 }, { "epoch": 2.92, "grad_norm": 1.930580973625183, "learning_rate": 1.3157894736842104e-05, "loss": 0.4766, "step": 1110 }, { "epoch": 2.95, "grad_norm": 3.2953085899353027, "learning_rate": 8.771929824561403e-06, "loss": 0.4975, "step": 1120 }, { "epoch": 2.97, "grad_norm": 3.153869390487671, "learning_rate": 4.3859649122807014e-06, "loss": 0.3219, "step": 1130 }, { "epoch": 3.0, "grad_norm": 2.2529447078704834, "learning_rate": 0.0, "loss": 0.3759, "step": 1140 }, { "epoch": 3.0, "step": 1140, "total_flos": 1242149934858240.0, "train_loss": 0.7540260691391795, "train_runtime": 163.74, "train_samples_per_second": 222.499, "train_steps_per_second": 6.962 } ], "logging_steps": 10, "max_steps": 1140, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 50, "total_flos": 1242149934858240.0, "train_batch_size": 16, "trial_name": null, "trial_params": null }