|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 100.0, |
|
"global_step": 1000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6288470372071658, |
|
"eval_f1": 0.43084004602991943, |
|
"eval_loss": 1.2868107557296753, |
|
"eval_precision": 0.3991471215351812, |
|
"eval_recall": 0.468, |
|
"eval_runtime": 1.4977, |
|
"eval_samples_per_second": 36.054, |
|
"eval_steps_per_second": 0.668, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7672255397335783, |
|
"eval_f1": 0.7671957671957673, |
|
"eval_loss": 0.8454405665397644, |
|
"eval_precision": 0.7391102873030584, |
|
"eval_recall": 0.7975, |
|
"eval_runtime": 2.3492, |
|
"eval_samples_per_second": 22.986, |
|
"eval_steps_per_second": 0.426, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.7731970601745521, |
|
"eval_f1": 0.8189655172413792, |
|
"eval_loss": 0.6648961305618286, |
|
"eval_precision": 0.7858455882352942, |
|
"eval_recall": 0.855, |
|
"eval_runtime": 2.4309, |
|
"eval_samples_per_second": 22.214, |
|
"eval_steps_per_second": 0.411, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.8240698208543867, |
|
"eval_f1": 0.8516630250060694, |
|
"eval_loss": 0.6003230810165405, |
|
"eval_precision": 0.827748938178386, |
|
"eval_recall": 0.877, |
|
"eval_runtime": 1.946, |
|
"eval_samples_per_second": 27.749, |
|
"eval_steps_per_second": 0.514, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.8000689021589343, |
|
"eval_f1": 0.8560497369679579, |
|
"eval_loss": 0.5940394401550293, |
|
"eval_precision": 0.8203483043079743, |
|
"eval_recall": 0.895, |
|
"eval_runtime": 1.5738, |
|
"eval_samples_per_second": 34.312, |
|
"eval_steps_per_second": 0.635, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.8124712907671107, |
|
"eval_f1": 0.8579682233991335, |
|
"eval_loss": 0.6028273701667786, |
|
"eval_precision": 0.8272980501392758, |
|
"eval_recall": 0.891, |
|
"eval_runtime": 2.3361, |
|
"eval_samples_per_second": 23.116, |
|
"eval_steps_per_second": 0.428, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.8300413412953606, |
|
"eval_f1": 0.8839373163565133, |
|
"eval_loss": 0.5925479531288147, |
|
"eval_precision": 0.8661228406909789, |
|
"eval_recall": 0.9025, |
|
"eval_runtime": 1.549, |
|
"eval_samples_per_second": 34.86, |
|
"eval_steps_per_second": 0.646, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.8147680293982544, |
|
"eval_f1": 0.864694471387003, |
|
"eval_loss": 0.6319019198417664, |
|
"eval_precision": 0.8394538606403014, |
|
"eval_recall": 0.8915, |
|
"eval_runtime": 1.7343, |
|
"eval_samples_per_second": 31.136, |
|
"eval_steps_per_second": 0.577, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_accuracy": 0.8295819935691319, |
|
"eval_f1": 0.8697776691913022, |
|
"eval_loss": 0.660470187664032, |
|
"eval_precision": 0.8504538939321548, |
|
"eval_recall": 0.89, |
|
"eval_runtime": 1.7198, |
|
"eval_samples_per_second": 31.398, |
|
"eval_steps_per_second": 0.581, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.8275149288011024, |
|
"eval_f1": 0.8871046228710462, |
|
"eval_loss": 0.6778170466423035, |
|
"eval_precision": 0.8639810426540284, |
|
"eval_recall": 0.9115, |
|
"eval_runtime": 1.5366, |
|
"eval_samples_per_second": 35.142, |
|
"eval_steps_per_second": 0.651, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 22.0, |
|
"eval_accuracy": 0.815686724850712, |
|
"eval_f1": 0.8839615668883962, |
|
"eval_loss": 0.7490019798278809, |
|
"eval_precision": 0.8712967459932006, |
|
"eval_recall": 0.897, |
|
"eval_runtime": 2.3087, |
|
"eval_samples_per_second": 23.39, |
|
"eval_steps_per_second": 0.433, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.8222324299494718, |
|
"eval_f1": 0.8948667324777887, |
|
"eval_loss": 0.7746959924697876, |
|
"eval_precision": 0.8835282651072125, |
|
"eval_recall": 0.9065, |
|
"eval_runtime": 1.9661, |
|
"eval_samples_per_second": 27.465, |
|
"eval_steps_per_second": 0.509, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 26.0, |
|
"eval_accuracy": 0.8058107487367937, |
|
"eval_f1": 0.8912883435582821, |
|
"eval_loss": 0.8429032564163208, |
|
"eval_precision": 0.8751807228915662, |
|
"eval_recall": 0.908, |
|
"eval_runtime": 1.9643, |
|
"eval_samples_per_second": 27.491, |
|
"eval_steps_per_second": 0.509, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"eval_accuracy": 0.8129306384933395, |
|
"eval_f1": 0.8899308983218163, |
|
"eval_loss": 0.8374262452125549, |
|
"eval_precision": 0.8786549707602339, |
|
"eval_recall": 0.9015, |
|
"eval_runtime": 1.7097, |
|
"eval_samples_per_second": 31.584, |
|
"eval_steps_per_second": 0.585, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"eval_accuracy": 0.8112080845199816, |
|
"eval_f1": 0.8747830399206545, |
|
"eval_loss": 0.9091736078262329, |
|
"eval_precision": 0.867683226758485, |
|
"eval_recall": 0.882, |
|
"eval_runtime": 2.3751, |
|
"eval_samples_per_second": 22.736, |
|
"eval_steps_per_second": 0.421, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"eval_accuracy": 0.8288929719797887, |
|
"eval_f1": 0.8963474827245804, |
|
"eval_loss": 0.8785933256149292, |
|
"eval_precision": 0.884990253411306, |
|
"eval_recall": 0.908, |
|
"eval_runtime": 2.0542, |
|
"eval_samples_per_second": 26.288, |
|
"eval_steps_per_second": 0.487, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 34.0, |
|
"eval_accuracy": 0.8307303628847037, |
|
"eval_f1": 0.8931750741839762, |
|
"eval_loss": 0.91584312915802, |
|
"eval_precision": 0.8835616438356164, |
|
"eval_recall": 0.903, |
|
"eval_runtime": 2.4582, |
|
"eval_samples_per_second": 21.967, |
|
"eval_steps_per_second": 0.407, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"eval_accuracy": 0.8259072117593018, |
|
"eval_f1": 0.8948534843634572, |
|
"eval_loss": 0.9160082340240479, |
|
"eval_precision": 0.8816108685104318, |
|
"eval_recall": 0.9085, |
|
"eval_runtime": 2.3705, |
|
"eval_samples_per_second": 22.78, |
|
"eval_steps_per_second": 0.422, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 38.0, |
|
"eval_accuracy": 0.8171796049609554, |
|
"eval_f1": 0.8942850134903116, |
|
"eval_loss": 0.9378513693809509, |
|
"eval_precision": 0.8777082330284064, |
|
"eval_recall": 0.9115, |
|
"eval_runtime": 2.2021, |
|
"eval_samples_per_second": 24.522, |
|
"eval_steps_per_second": 0.454, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"eval_accuracy": 0.8079926504363804, |
|
"eval_f1": 0.8961134197017844, |
|
"eval_loss": 0.9751215577125549, |
|
"eval_precision": 0.8766140602582496, |
|
"eval_recall": 0.9165, |
|
"eval_runtime": 1.9472, |
|
"eval_samples_per_second": 27.733, |
|
"eval_steps_per_second": 0.514, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 42.0, |
|
"eval_accuracy": 0.8140790078089113, |
|
"eval_f1": 0.8976067110782137, |
|
"eval_loss": 0.922682523727417, |
|
"eval_precision": 0.8860204578665368, |
|
"eval_recall": 0.9095, |
|
"eval_runtime": 1.9496, |
|
"eval_samples_per_second": 27.699, |
|
"eval_steps_per_second": 0.513, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 44.0, |
|
"eval_accuracy": 0.8154570509875976, |
|
"eval_f1": 0.8868017795353437, |
|
"eval_loss": 1.0090957880020142, |
|
"eval_precision": 0.8768328445747801, |
|
"eval_recall": 0.897, |
|
"eval_runtime": 1.9314, |
|
"eval_samples_per_second": 27.96, |
|
"eval_steps_per_second": 0.518, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 46.0, |
|
"eval_accuracy": 0.8182131373449701, |
|
"eval_f1": 0.8956933034602937, |
|
"eval_loss": 0.9963611960411072, |
|
"eval_precision": 0.8919186911254338, |
|
"eval_recall": 0.8995, |
|
"eval_runtime": 2.4248, |
|
"eval_samples_per_second": 22.27, |
|
"eval_steps_per_second": 0.412, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 48.0, |
|
"eval_accuracy": 0.8203950390445567, |
|
"eval_f1": 0.896329365079365, |
|
"eval_loss": 1.0006074905395508, |
|
"eval_precision": 0.8892716535433071, |
|
"eval_recall": 0.9035, |
|
"eval_runtime": 2.4269, |
|
"eval_samples_per_second": 22.25, |
|
"eval_steps_per_second": 0.412, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"learning_rate": 5e-06, |
|
"loss": 0.235, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"eval_accuracy": 0.8178686265502986, |
|
"eval_f1": 0.8960199004975123, |
|
"eval_loss": 1.0283308029174805, |
|
"eval_precision": 0.8915841584158416, |
|
"eval_recall": 0.9005, |
|
"eval_runtime": 2.2977, |
|
"eval_samples_per_second": 23.502, |
|
"eval_steps_per_second": 0.435, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 52.0, |
|
"eval_accuracy": 0.827859439595774, |
|
"eval_f1": 0.8951014349332014, |
|
"eval_loss": 0.9926251769065857, |
|
"eval_precision": 0.885896180215475, |
|
"eval_recall": 0.9045, |
|
"eval_runtime": 1.6933, |
|
"eval_samples_per_second": 31.891, |
|
"eval_steps_per_second": 0.591, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 54.0, |
|
"eval_accuracy": 0.8228066146072577, |
|
"eval_f1": 0.8948148148148148, |
|
"eval_loss": 1.0112966299057007, |
|
"eval_precision": 0.8839024390243903, |
|
"eval_recall": 0.906, |
|
"eval_runtime": 2.4054, |
|
"eval_samples_per_second": 22.449, |
|
"eval_steps_per_second": 0.416, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 56.0, |
|
"eval_accuracy": 0.8290078089113458, |
|
"eval_f1": 0.8993819530284302, |
|
"eval_loss": 1.004191279411316, |
|
"eval_precision": 0.8894865525672372, |
|
"eval_recall": 0.9095, |
|
"eval_runtime": 1.6522, |
|
"eval_samples_per_second": 32.684, |
|
"eval_steps_per_second": 0.605, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 58.0, |
|
"eval_accuracy": 0.8225769407441433, |
|
"eval_f1": 0.8922392486406326, |
|
"eval_loss": 1.0357481241226196, |
|
"eval_precision": 0.8822091886608016, |
|
"eval_recall": 0.9025, |
|
"eval_runtime": 2.1102, |
|
"eval_samples_per_second": 25.59, |
|
"eval_steps_per_second": 0.474, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 60.0, |
|
"eval_accuracy": 0.8178686265502986, |
|
"eval_f1": 0.901213171577123, |
|
"eval_loss": 1.0394996404647827, |
|
"eval_precision": 0.8925944090240314, |
|
"eval_recall": 0.91, |
|
"eval_runtime": 2.4208, |
|
"eval_samples_per_second": 22.307, |
|
"eval_steps_per_second": 0.413, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 62.0, |
|
"eval_accuracy": 0.8201653651814423, |
|
"eval_f1": 0.8971962616822431, |
|
"eval_loss": 1.004025936126709, |
|
"eval_precision": 0.882865440464666, |
|
"eval_recall": 0.912, |
|
"eval_runtime": 2.4098, |
|
"eval_samples_per_second": 22.408, |
|
"eval_steps_per_second": 0.415, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 64.0, |
|
"eval_accuracy": 0.8195911805236564, |
|
"eval_f1": 0.8941929133858268, |
|
"eval_loss": 1.029054880142212, |
|
"eval_precision": 0.8803294573643411, |
|
"eval_recall": 0.9085, |
|
"eval_runtime": 2.4017, |
|
"eval_samples_per_second": 22.484, |
|
"eval_steps_per_second": 0.416, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 66.0, |
|
"eval_accuracy": 0.8279742765273312, |
|
"eval_f1": 0.8993055555555556, |
|
"eval_loss": 1.075648546218872, |
|
"eval_precision": 0.8922244094488189, |
|
"eval_recall": 0.9065, |
|
"eval_runtime": 2.4111, |
|
"eval_samples_per_second": 22.396, |
|
"eval_steps_per_second": 0.415, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 68.0, |
|
"eval_accuracy": 0.8234956361966008, |
|
"eval_f1": 0.8966716343765524, |
|
"eval_loss": 1.1056932210922241, |
|
"eval_precision": 0.8909180651530109, |
|
"eval_recall": 0.9025, |
|
"eval_runtime": 2.4045, |
|
"eval_samples_per_second": 22.458, |
|
"eval_steps_per_second": 0.416, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 70.0, |
|
"eval_accuracy": 0.8268259072117593, |
|
"eval_f1": 0.9007407407407408, |
|
"eval_loss": 1.1429905891418457, |
|
"eval_precision": 0.8897560975609756, |
|
"eval_recall": 0.912, |
|
"eval_runtime": 2.3943, |
|
"eval_samples_per_second": 22.553, |
|
"eval_steps_per_second": 0.418, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 72.0, |
|
"eval_accuracy": 0.8221175930179145, |
|
"eval_f1": 0.9012012748222604, |
|
"eval_loss": 1.0474272966384888, |
|
"eval_precision": 0.8840788840788841, |
|
"eval_recall": 0.919, |
|
"eval_runtime": 2.6325, |
|
"eval_samples_per_second": 20.512, |
|
"eval_steps_per_second": 0.38, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 74.0, |
|
"eval_accuracy": 0.8191318327974276, |
|
"eval_f1": 0.9079694053787319, |
|
"eval_loss": 1.1182180643081665, |
|
"eval_precision": 0.8962493911349245, |
|
"eval_recall": 0.92, |
|
"eval_runtime": 2.4698, |
|
"eval_samples_per_second": 21.864, |
|
"eval_steps_per_second": 0.405, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 76.0, |
|
"eval_accuracy": 0.8267110702802021, |
|
"eval_f1": 0.9056324110671936, |
|
"eval_loss": 1.1421239376068115, |
|
"eval_precision": 0.89501953125, |
|
"eval_recall": 0.9165, |
|
"eval_runtime": 2.0412, |
|
"eval_samples_per_second": 26.455, |
|
"eval_steps_per_second": 0.49, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 78.0, |
|
"eval_accuracy": 0.825447864033073, |
|
"eval_f1": 0.9112103174603173, |
|
"eval_loss": 1.1723241806030273, |
|
"eval_precision": 0.9040354330708661, |
|
"eval_recall": 0.9185, |
|
"eval_runtime": 2.0338, |
|
"eval_samples_per_second": 26.551, |
|
"eval_steps_per_second": 0.492, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 80.0, |
|
"eval_accuracy": 0.8314193844740468, |
|
"eval_f1": 0.9091358024691357, |
|
"eval_loss": 1.0977429151535034, |
|
"eval_precision": 0.8980487804878049, |
|
"eval_recall": 0.9205, |
|
"eval_runtime": 2.708, |
|
"eval_samples_per_second": 19.941, |
|
"eval_steps_per_second": 0.369, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 82.0, |
|
"eval_accuracy": 0.826596233348645, |
|
"eval_f1": 0.9020771513353116, |
|
"eval_loss": 1.1165635585784912, |
|
"eval_precision": 0.8923679060665362, |
|
"eval_recall": 0.912, |
|
"eval_runtime": 2.3964, |
|
"eval_samples_per_second": 22.533, |
|
"eval_steps_per_second": 0.417, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 84.0, |
|
"eval_accuracy": 0.83210840606339, |
|
"eval_f1": 0.9058561897702001, |
|
"eval_loss": 1.1296281814575195, |
|
"eval_precision": 0.8954567659990229, |
|
"eval_recall": 0.9165, |
|
"eval_runtime": 1.5143, |
|
"eval_samples_per_second": 35.659, |
|
"eval_steps_per_second": 0.66, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 86.0, |
|
"eval_accuracy": 0.8313045475424896, |
|
"eval_f1": 0.9070687098368759, |
|
"eval_loss": 1.122943639755249, |
|
"eval_precision": 0.896871945259042, |
|
"eval_recall": 0.9175, |
|
"eval_runtime": 2.2961, |
|
"eval_samples_per_second": 23.518, |
|
"eval_steps_per_second": 0.436, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 88.0, |
|
"eval_accuracy": 0.8325677537896188, |
|
"eval_f1": 0.9080573405832921, |
|
"eval_loss": 1.1123418807983398, |
|
"eval_precision": 0.8978494623655914, |
|
"eval_recall": 0.9185, |
|
"eval_runtime": 2.1658, |
|
"eval_samples_per_second": 24.933, |
|
"eval_steps_per_second": 0.462, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 90.0, |
|
"eval_accuracy": 0.8325677537896188, |
|
"eval_f1": 0.9037843185753152, |
|
"eval_loss": 1.1032230854034424, |
|
"eval_precision": 0.8942731277533039, |
|
"eval_recall": 0.9135, |
|
"eval_runtime": 1.6625, |
|
"eval_samples_per_second": 32.481, |
|
"eval_steps_per_second": 0.601, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 92.0, |
|
"eval_accuracy": 0.83578318787322, |
|
"eval_f1": 0.9086407526615499, |
|
"eval_loss": 1.0933949947357178, |
|
"eval_precision": 0.8999509563511525, |
|
"eval_recall": 0.9175, |
|
"eval_runtime": 2.2261, |
|
"eval_samples_per_second": 24.258, |
|
"eval_steps_per_second": 0.449, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 94.0, |
|
"eval_accuracy": 0.8360128617363344, |
|
"eval_f1": 0.9090909090909091, |
|
"eval_loss": 1.0976922512054443, |
|
"eval_precision": 0.9008345606283751, |
|
"eval_recall": 0.9175, |
|
"eval_runtime": 2.4337, |
|
"eval_samples_per_second": 22.189, |
|
"eval_steps_per_second": 0.411, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 96.0, |
|
"eval_accuracy": 0.833945796968305, |
|
"eval_f1": 0.9066205533596838, |
|
"eval_loss": 1.1002885103225708, |
|
"eval_precision": 0.89599609375, |
|
"eval_recall": 0.9175, |
|
"eval_runtime": 2.3183, |
|
"eval_samples_per_second": 23.293, |
|
"eval_steps_per_second": 0.431, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 98.0, |
|
"eval_accuracy": 0.8329122645842904, |
|
"eval_f1": 0.9057164068299927, |
|
"eval_loss": 1.1073625087738037, |
|
"eval_precision": 0.8966193042626164, |
|
"eval_recall": 0.915, |
|
"eval_runtime": 2.4241, |
|
"eval_samples_per_second": 22.276, |
|
"eval_steps_per_second": 0.413, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 100.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.0088, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 100.0, |
|
"eval_accuracy": 0.8317638952687184, |
|
"eval_f1": 0.9058561897702001, |
|
"eval_loss": 1.1073323488235474, |
|
"eval_precision": 0.8954567659990229, |
|
"eval_recall": 0.9165, |
|
"eval_runtime": 1.5045, |
|
"eval_samples_per_second": 35.892, |
|
"eval_steps_per_second": 0.665, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 100.0, |
|
"step": 1000, |
|
"total_flos": 4006801297113088.0, |
|
"train_loss": 0.12190062952041626, |
|
"train_runtime": 303.1848, |
|
"train_samples_per_second": 52.773, |
|
"train_steps_per_second": 3.298 |
|
} |
|
], |
|
"max_steps": 1000, |
|
"num_train_epochs": 100, |
|
"total_flos": 4006801297113088.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|