| { | |
| "best_metric": 0.9808994233422476, | |
| "best_model_checkpoint": "./outputs/dinov2-base-imagenet1k-1-layer-boulderspot-vN/checkpoint-1015", | |
| "epoch": 4.993849938499385, | |
| "eval_steps": 500, | |
| "global_step": 1015, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 21.444149017333984, | |
| "learning_rate": 3.92156862745098e-06, | |
| "loss": 0.3077, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 20.83109474182129, | |
| "learning_rate": 7.84313725490196e-06, | |
| "loss": 0.0953, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 8.993614196777344, | |
| "learning_rate": 1.1764705882352942e-05, | |
| "loss": 0.1968, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 32.97685241699219, | |
| "learning_rate": 1.568627450980392e-05, | |
| "loss": 0.1265, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 10.921149253845215, | |
| "learning_rate": 1.9607843137254903e-05, | |
| "loss": 0.166, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 30.291000366210938, | |
| "learning_rate": 1.9995698998770955e-05, | |
| "loss": 0.1484, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 7.144667625427246, | |
| "learning_rate": 1.998083609002402e-05, | |
| "loss": 0.1529, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 72.38031005859375, | |
| "learning_rate": 1.995537395500004e-05, | |
| "loss": 0.1588, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 9.280795097351074, | |
| "learning_rate": 1.9919339633410737e-05, | |
| "loss": 0.1575, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 8.867383003234863, | |
| "learning_rate": 1.9872771392183334e-05, | |
| "loss": 0.1345, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 11.048301696777344, | |
| "learning_rate": 1.981571868482269e-05, | |
| "loss": 0.1832, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 18.908288955688477, | |
| "learning_rate": 1.974824209889377e-05, | |
| "loss": 0.1392, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 6.0579047203063965, | |
| "learning_rate": 1.9670413291680223e-05, | |
| "loss": 0.1179, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 6.6037774085998535, | |
| "learning_rate": 1.9582314914087344e-05, | |
| "loss": 0.1258, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 17.16813087463379, | |
| "learning_rate": 1.9484040522870333e-05, | |
| "loss": 0.1914, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 15.085983276367188, | |
| "learning_rate": 1.9375694481280965e-05, | |
| "loss": 0.1747, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 6.54490852355957, | |
| "learning_rate": 1.9257391848238212e-05, | |
| "loss": 0.0749, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 0.9332025051116943, | |
| "learning_rate": 1.9129258256140556e-05, | |
| "loss": 0.0706, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 26.89777946472168, | |
| "learning_rate": 1.8991429777449674e-05, | |
| "loss": 0.0852, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 4.798658847808838, | |
| "learning_rate": 1.884405278018722e-05, | |
| "loss": 0.1596, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9766081871345029, | |
| "eval_f1": 0.9758655635300373, | |
| "eval_loss": 0.0732586681842804, | |
| "eval_matthews_correlation": 0.8078903073020254, | |
| "eval_precision": 0.9756885037132272, | |
| "eval_recall": 0.9766081871345029, | |
| "eval_runtime": 3.9698, | |
| "eval_samples_per_second": 172.303, | |
| "eval_steps_per_second": 10.832, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "grad_norm": 13.787192344665527, | |
| "learning_rate": 1.8687283772498205e-05, | |
| "loss": 0.1367, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "grad_norm": 5.066114902496338, | |
| "learning_rate": 1.852128923644593e-05, | |
| "loss": 0.1308, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 2.300729990005493, | |
| "learning_rate": 1.8346245451215068e-05, | |
| "loss": 0.1011, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 6.617341995239258, | |
| "learning_rate": 1.8162338305910636e-05, | |
| "loss": 0.0879, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 5.020946025848389, | |
| "learning_rate": 1.79697631021516e-05, | |
| "loss": 0.0969, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 7.580730438232422, | |
| "learning_rate": 1.776872434666882e-05, | |
| "loss": 0.0942, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 1.9427905082702637, | |
| "learning_rate": 1.7559435534127534e-05, | |
| "loss": 0.0745, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 10.397661209106445, | |
| "learning_rate": 1.7342118920405035e-05, | |
| "loss": 0.1028, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 8.107540130615234, | |
| "learning_rate": 1.7117005286564344e-05, | |
| "loss": 0.0941, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 13.503528594970703, | |
| "learning_rate": 1.688433369377444e-05, | |
| "loss": 0.1162, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 15.07189655303955, | |
| "learning_rate": 1.6644351229437416e-05, | |
| "loss": 0.1301, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 3.9105443954467773, | |
| "learning_rate": 1.63973127447921e-05, | |
| "loss": 0.1441, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 7.494752883911133, | |
| "learning_rate": 1.6143480584272794e-05, | |
| "loss": 0.1002, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 2.2176589965820312, | |
| "learning_rate": 1.5883124306910563e-05, | |
| "loss": 0.0731, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 5.566643714904785, | |
| "learning_rate": 1.5616520400072963e-05, | |
| "loss": 0.093, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 4.072403907775879, | |
| "learning_rate": 1.5343951985846096e-05, | |
| "loss": 0.0899, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 4.870898246765137, | |
| "learning_rate": 1.5065708520370943e-05, | |
| "loss": 0.0781, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 21.179044723510742, | |
| "learning_rate": 1.4782085486453155e-05, | |
| "loss": 0.0807, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 4.826471328735352, | |
| "learning_rate": 1.4493384079772815e-05, | |
| "loss": 0.0852, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "grad_norm": 3.290867328643799, | |
| "learning_rate": 1.4199910889027335e-05, | |
| "loss": 0.0635, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9473684210526315, | |
| "eval_f1": 0.9522155218554862, | |
| "eval_loss": 0.12761278450489044, | |
| "eval_matthews_correlation": 0.6844503635019795, | |
| "eval_precision": 0.9618507818612543, | |
| "eval_recall": 0.9473684210526315, | |
| "eval_runtime": 4.0112, | |
| "eval_samples_per_second": 170.521, | |
| "eval_steps_per_second": 10.72, | |
| "step": 406 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 16.522815704345703, | |
| "learning_rate": 1.390197757034721e-05, | |
| "loss": 0.0853, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "grad_norm": 5.749844074249268, | |
| "learning_rate": 1.3599900516330382e-05, | |
| "loss": 0.0685, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "grad_norm": 4.761476993560791, | |
| "learning_rate": 1.3294000520046666e-05, | |
| "loss": 0.086, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "grad_norm": 5.712699890136719, | |
| "learning_rate": 1.2984602434369058e-05, | |
| "loss": 0.0927, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "grad_norm": 7.019559860229492, | |
| "learning_rate": 1.2672034826993716e-05, | |
| "loss": 0.0771, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "grad_norm": 5.033693313598633, | |
| "learning_rate": 1.235662963151493e-05, | |
| "loss": 0.065, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "grad_norm": 7.356439590454102, | |
| "learning_rate": 1.2038721794925689e-05, | |
| "loss": 0.0782, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "grad_norm": 13.046978950500488, | |
| "learning_rate": 1.1718648921918112e-05, | |
| "loss": 0.1074, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "grad_norm": 2.489901542663574, | |
| "learning_rate": 1.1396750916361526e-05, | |
| "loss": 0.0891, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "grad_norm": 8.636452674865723, | |
| "learning_rate": 1.1073369620338928e-05, | |
| "loss": 0.0922, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "grad_norm": 3.626593589782715, | |
| "learning_rate": 1.074884845112512e-05, | |
| "loss": 0.0832, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "grad_norm": 2.680762529373169, | |
| "learning_rate": 1.0423532036492077e-05, | |
| "loss": 0.0659, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "grad_norm": 9.335197448730469, | |
| "learning_rate": 1.0097765848728825e-05, | |
| "loss": 0.0718, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "grad_norm": 2.929506301879883, | |
| "learning_rate": 9.771895837764438e-06, | |
| "loss": 0.0975, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "grad_norm": 1.251734733581543, | |
| "learning_rate": 9.446268063783853e-06, | |
| "loss": 0.0343, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "grad_norm": 11.404159545898438, | |
| "learning_rate": 9.121228329726563e-06, | |
| "loss": 0.0488, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "grad_norm": 3.3042876720428467, | |
| "learning_rate": 8.797121814058502e-06, | |
| "loss": 0.0641, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "grad_norm": 10.385183334350586, | |
| "learning_rate": 8.474292704207095e-06, | |
| "loss": 0.0951, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "grad_norm": 7.184572219848633, | |
| "learning_rate": 8.153083831048772e-06, | |
| "loss": 0.0591, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "grad_norm": 4.226497650146484, | |
| "learning_rate": 7.833836304837022e-06, | |
| "loss": 0.1031, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9751461988304093, | |
| "eval_f1": 0.9755012041745224, | |
| "eval_loss": 0.06017656996846199, | |
| "eval_matthews_correlation": 0.8118305972172924, | |
| "eval_precision": 0.9759749663327615, | |
| "eval_recall": 0.9751461988304093, | |
| "eval_runtime": 4.1933, | |
| "eval_samples_per_second": 163.119, | |
| "eval_steps_per_second": 10.255, | |
| "step": 609 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 4.557692527770996, | |
| "learning_rate": 7.516889152957744e-06, | |
| "loss": 0.0533, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 3.751300096511841, | |
| "learning_rate": 7.202578959896491e-06, | |
| "loss": 0.0782, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "grad_norm": 4.593023777008057, | |
| "learning_rate": 6.891239509799932e-06, | |
| "loss": 0.0627, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 4.492953777313232, | |
| "learning_rate": 6.583201432011217e-06, | |
| "loss": 0.0564, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 3.022425889968872, | |
| "learning_rate": 6.278791849955583e-06, | |
| "loss": 0.0719, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "grad_norm": 4.909082889556885, | |
| "learning_rate": 5.978334033749076e-06, | |
| "loss": 0.0531, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "grad_norm": 2.2064766883850098, | |
| "learning_rate": 5.682147056899361e-06, | |
| "loss": 0.0628, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 3.35, | |
| "grad_norm": 5.478167533874512, | |
| "learning_rate": 5.390545457463134e-06, | |
| "loss": 0.0705, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "grad_norm": 5.376189708709717, | |
| "learning_rate": 5.103838904019993e-06, | |
| "loss": 0.0888, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "grad_norm": 3.5109596252441406, | |
| "learning_rate": 4.822331866817478e-06, | |
| "loss": 0.0577, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "grad_norm": 0.5529822707176208, | |
| "learning_rate": 4.546323294436556e-06, | |
| "loss": 0.0421, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "grad_norm": 10.782859802246094, | |
| "learning_rate": 4.276106296320828e-06, | |
| "loss": 0.0579, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "grad_norm": 0.36797773838043213, | |
| "learning_rate": 4.0119678315067025e-06, | |
| "loss": 0.0381, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "grad_norm": 3.724026679992676, | |
| "learning_rate": 3.754188403885013e-06, | |
| "loss": 0.057, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "grad_norm": 6.234977722167969, | |
| "learning_rate": 3.5030417643177416e-06, | |
| "loss": 0.0556, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "grad_norm": 6.538670063018799, | |
| "learning_rate": 3.258794619926159e-06, | |
| "loss": 0.0624, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "grad_norm": 1.8592917919158936, | |
| "learning_rate": 3.021706350859147e-06, | |
| "loss": 0.0544, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "grad_norm": 1.5543180704116821, | |
| "learning_rate": 2.792028734842418e-06, | |
| "loss": 0.0321, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "grad_norm": 6.113970756530762, | |
| "learning_rate": 2.5700056798012164e-06, | |
| "loss": 0.052, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "grad_norm": 6.493689060211182, | |
| "learning_rate": 2.3558729648404065e-06, | |
| "loss": 0.046, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "grad_norm": 3.7167036533355713, | |
| "learning_rate": 2.1498579898570228e-06, | |
| "loss": 0.0587, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9736842105263158, | |
| "eval_f1": 0.9734187929958467, | |
| "eval_loss": 0.05119941756129265, | |
| "eval_matthews_correlation": 0.7904630921052955, | |
| "eval_precision": 0.9732101510950039, | |
| "eval_recall": 0.9736842105263158, | |
| "eval_runtime": 4.2261, | |
| "eval_samples_per_second": 161.853, | |
| "eval_steps_per_second": 10.175, | |
| "step": 813 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "grad_norm": 6.378363132476807, | |
| "learning_rate": 1.952179534051183e-06, | |
| "loss": 0.0389, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "grad_norm": 5.403367042541504, | |
| "learning_rate": 1.763047523591831e-06, | |
| "loss": 0.0727, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 4.13, | |
| "grad_norm": 5.556785583496094, | |
| "learning_rate": 1.5826628086839968e-06, | |
| "loss": 0.0365, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 4.18, | |
| "grad_norm": 10.821802139282227, | |
| "learning_rate": 1.41121695027438e-06, | |
| "loss": 0.0419, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 4.23, | |
| "grad_norm": 2.722320795059204, | |
| "learning_rate": 1.2488920166217034e-06, | |
| "loss": 0.0404, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "grad_norm": 11.169462203979492, | |
| "learning_rate": 1.095860389947928e-06, | |
| "loss": 0.0522, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "grad_norm": 4.065892696380615, | |
| "learning_rate": 9.522845833756001e-07, | |
| "loss": 0.0497, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "grad_norm": 11.717745780944824, | |
| "learning_rate": 8.183170683457986e-07, | |
| "loss": 0.0543, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 4.43, | |
| "grad_norm": 3.715181589126587, | |
| "learning_rate": 6.941001126998892e-07, | |
| "loss": 0.065, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "grad_norm": 8.879691123962402, | |
| "learning_rate": 5.797656295970955e-07, | |
| "loss": 0.0546, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "grad_norm": 6.542267799377441, | |
| "learning_rate": 4.754350374283001e-07, | |
| "loss": 0.0491, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 4.58, | |
| "grad_norm": 5.4677557945251465, | |
| "learning_rate": 3.8121913087483033e-07, | |
| "loss": 0.0434, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "grad_norm": 5.965972900390625, | |
| "learning_rate": 2.972179632491989e-07, | |
| "loss": 0.0594, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "grad_norm": 5.097690105438232, | |
| "learning_rate": 2.23520740242712e-07, | |
| "loss": 0.0632, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "grad_norm": 5.078763961791992, | |
| "learning_rate": 1.602057251927891e-07, | |
| "loss": 0.0448, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "grad_norm": 4.476650714874268, | |
| "learning_rate": 1.0734015597060222e-07, | |
| "loss": 0.0481, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 4.82, | |
| "grad_norm": 3.210946798324585, | |
| "learning_rate": 6.498017357731035e-08, | |
| "loss": 0.0604, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "grad_norm": 6.374156951904297, | |
| "learning_rate": 3.317076252467133e-08, | |
| "loss": 0.0406, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "grad_norm": 2.580352306365967, | |
| "learning_rate": 1.1945703063402925e-08, | |
| "loss": 0.0343, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "grad_norm": 1.094759464263916, | |
| "learning_rate": 1.327535309979533e-09, | |
| "loss": 0.038, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "eval_accuracy": 0.9809941520467836, | |
| "eval_f1": 0.9808994233422476, | |
| "eval_loss": 0.051854074001312256, | |
| "eval_matthews_correlation": 0.8500768147494288, | |
| "eval_precision": 0.9808194985441887, | |
| "eval_recall": 0.9809941520467836, | |
| "eval_runtime": 4.1997, | |
| "eval_samples_per_second": 162.87, | |
| "eval_steps_per_second": 10.239, | |
| "step": 1015 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "step": 1015, | |
| "total_flos": 6.629580853384053e+18, | |
| "train_loss": 0.08605182834446724, | |
| "train_runtime": 583.274, | |
| "train_samples_per_second": 111.397, | |
| "train_steps_per_second": 1.74 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 1015, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 6.629580853384053e+18, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |