{ "best_metric": null, "best_model_checkpoint": null, "epoch": 10.0, "eval_steps": 500, "global_step": 550, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "learning_rate": 9.090909090909091e-06, "loss": 2.7431, "step": 1 }, { "epoch": 0.07, "learning_rate": 3.6363636363636364e-05, "loss": 2.8776, "step": 4 }, { "epoch": 0.15, "learning_rate": 7.272727272727273e-05, "loss": 2.634, "step": 8 }, { "epoch": 0.22, "learning_rate": 0.00010909090909090909, "loss": 2.5152, "step": 12 }, { "epoch": 0.29, "learning_rate": 0.00014545454545454546, "loss": 2.3073, "step": 16 }, { "epoch": 0.36, "learning_rate": 0.00018181818181818183, "loss": 2.2473, "step": 20 }, { "epoch": 0.44, "learning_rate": 0.00021818181818181818, "loss": 2.1607, "step": 24 }, { "epoch": 0.51, "learning_rate": 0.0002545454545454545, "loss": 2.1845, "step": 28 }, { "epoch": 0.58, "learning_rate": 0.0002909090909090909, "loss": 2.0582, "step": 32 }, { "epoch": 0.65, "learning_rate": 0.00032727272727272726, "loss": 2.0335, "step": 36 }, { "epoch": 0.73, "learning_rate": 0.00036363636363636367, "loss": 1.9232, "step": 40 }, { "epoch": 0.8, "learning_rate": 0.0004, "loss": 1.97, "step": 44 }, { "epoch": 0.87, "learning_rate": 0.00043636363636363637, "loss": 1.9574, "step": 48 }, { "epoch": 0.95, "learning_rate": 0.0004727272727272727, "loss": 2.0267, "step": 52 }, { "epoch": 1.02, "learning_rate": 0.0004999949650182266, "loss": 1.9734, "step": 56 }, { "epoch": 1.09, "learning_rate": 0.0004998741355957963, "loss": 1.7896, "step": 60 }, { "epoch": 1.16, "learning_rate": 0.0004995922759815339, "loss": 1.7852, "step": 64 }, { "epoch": 1.24, "learning_rate": 0.0004991495678185201, "loss": 1.7058, "step": 68 }, { "epoch": 1.31, "learning_rate": 0.0004985462964079136, "loss": 1.676, "step": 72 }, { "epoch": 1.38, "learning_rate": 0.0004977828505250904, "loss": 1.5585, "step": 76 }, { "epoch": 1.45, "learning_rate": 0.0004968597221690986, "loss": 1.5856, "step": 80 }, { "epoch": 1.53, "learning_rate": 0.0004957775062455933, "loss": 1.7152, "step": 84 }, { "epoch": 1.6, "learning_rate": 0.0004945369001834514, "loss": 1.6895, "step": 88 }, { "epoch": 1.67, "learning_rate": 0.0004931387034853173, "loss": 1.6401, "step": 92 }, { "epoch": 1.75, "learning_rate": 0.0004915838172123671, "loss": 1.7005, "step": 96 }, { "epoch": 1.82, "learning_rate": 0.0004898732434036243, "loss": 1.7131, "step": 100 }, { "epoch": 1.89, "learning_rate": 0.0004880080844302004, "loss": 1.5485, "step": 104 }, { "epoch": 1.96, "learning_rate": 0.0004859895422848767, "loss": 1.5872, "step": 108 }, { "epoch": 2.0, "pls_score": 64.4, "std": 3.971498457761252, "step": 110 }, { "epoch": 2.0, "eval_loss": 2.036914110183716, "eval_runtime": 4.9069, "eval_samples_per_second": 4.687, "eval_steps_per_second": 1.223, "step": 110 }, { "epoch": 2.04, "learning_rate": 0.00048381891780748665, "loss": 1.4997, "step": 112 }, { "epoch": 2.11, "learning_rate": 0.0004814976098465951, "loss": 0.9384, "step": 116 }, { "epoch": 2.18, "learning_rate": 0.0004790271143580174, "loss": 0.9659, "step": 120 }, { "epoch": 2.25, "learning_rate": 0.0004764090234407577, "loss": 0.8644, "step": 124 }, { "epoch": 2.33, "learning_rate": 0.0004736450243109884, "loss": 0.8526, "step": 128 }, { "epoch": 2.4, "learning_rate": 0.00047073689821473173, "loss": 0.8541, "step": 132 }, { "epoch": 2.47, "learning_rate": 0.00046768651927994433, "loss": 0.7894, "step": 136 }, { "epoch": 2.55, "learning_rate": 0.0004644958533087443, "loss": 0.7917, "step": 140 }, { "epoch": 2.62, "learning_rate": 0.0004611669565105596, "loss": 0.9484, "step": 144 }, { "epoch": 2.69, "learning_rate": 0.00045770197417701366, "loss": 0.8227, "step": 148 }, { "epoch": 2.76, "learning_rate": 0.00045410313929940244, "loss": 0.8766, "step": 152 }, { "epoch": 2.84, "learning_rate": 0.00045037277112965383, "loss": 0.961, "step": 156 }, { "epoch": 2.91, "learning_rate": 0.0004465132736856969, "loss": 1.0136, "step": 160 }, { "epoch": 2.98, "learning_rate": 0.00044252713420220394, "loss": 0.9686, "step": 164 }, { "epoch": 3.0, "pls_score": 60.0, "std": 4.0, "step": 165 }, { "epoch": 3.0, "eval_loss": 2.4603536128997803, "eval_runtime": 4.9107, "eval_samples_per_second": 4.684, "eval_steps_per_second": 1.222, "step": 165 }, { "epoch": 3.05, "learning_rate": 0.00043841692152770415, "loss": 0.5066, "step": 168 }, { "epoch": 3.13, "learning_rate": 0.00043418528446910123, "loss": 0.458, "step": 172 }, { "epoch": 3.2, "learning_rate": 0.0004298349500846628, "loss": 0.4341, "step": 176 }, { "epoch": 3.27, "learning_rate": 0.00042536872192658034, "loss": 0.4109, "step": 180 }, { "epoch": 3.35, "learning_rate": 0.00042078947823423365, "loss": 0.4367, "step": 184 }, { "epoch": 3.42, "learning_rate": 0.0004161001700793231, "loss": 0.4422, "step": 188 }, { "epoch": 3.49, "learning_rate": 0.00041130381946406574, "loss": 0.4017, "step": 192 }, { "epoch": 3.56, "learning_rate": 0.0004064035173736804, "loss": 0.4362, "step": 196 }, { "epoch": 3.64, "learning_rate": 0.00040140242178441667, "loss": 0.4893, "step": 200 }, { "epoch": 3.71, "learning_rate": 0.0003963037556284129, "loss": 0.4939, "step": 204 }, { "epoch": 3.78, "learning_rate": 0.0003911108047166924, "loss": 0.4467, "step": 208 }, { "epoch": 3.85, "learning_rate": 0.00038582691562163827, "loss": 0.4636, "step": 212 }, { "epoch": 3.93, "learning_rate": 0.0003804554935203115, "loss": 0.4356, "step": 216 }, { "epoch": 4.0, "learning_rate": 0.000375, "loss": 0.534, "step": 220 }, { "epoch": 4.0, "pls_score": 62.96, "std": 4.2869998833683205, "step": 220 }, { "epoch": 4.0, "eval_loss": 2.9132673740386963, "eval_runtime": 4.9065, "eval_samples_per_second": 4.688, "eval_steps_per_second": 1.223, "step": 220 }, { "epoch": 4.07, "learning_rate": 0.0003694639508274158, "loss": 0.2425, "step": 224 }, { "epoch": 4.15, "learning_rate": 0.0003638509136829758, "loss": 0.2283, "step": 228 }, { "epoch": 4.22, "learning_rate": 0.00035816450586162706, "loss": 0.2518, "step": 232 }, { "epoch": 4.29, "learning_rate": 0.00035240839194169884, "loss": 0.2514, "step": 236 }, { "epoch": 4.36, "learning_rate": 0.00034658628142328216, "loss": 0.2357, "step": 240 }, { "epoch": 4.44, "learning_rate": 0.00034070192633766023, "loss": 0.2235, "step": 244 }, { "epoch": 4.51, "learning_rate": 0.0003347591188293301, "loss": 0.2363, "step": 248 }, { "epoch": 4.58, "learning_rate": 0.00032876168871217323, "loss": 0.2212, "step": 252 }, { "epoch": 4.65, "learning_rate": 0.00032271350100134975, "loss": 0.2362, "step": 256 }, { "epoch": 4.73, "learning_rate": 0.0003166184534225087, "loss": 0.2576, "step": 260 }, { "epoch": 4.8, "learning_rate": 0.0003104804738999169, "loss": 0.2257, "step": 264 }, { "epoch": 4.87, "learning_rate": 0.00030430351802512693, "loss": 0.336, "step": 268 }, { "epoch": 4.95, "learning_rate": 0.00029809156650781527, "loss": 0.2198, "step": 272 }, { "epoch": 5.0, "pls_score": 54.4, "std": 4.346584866305961, "step": 275 }, { "epoch": 5.0, "eval_loss": 3.0296988487243652, "eval_runtime": 4.907, "eval_samples_per_second": 4.687, "eval_steps_per_second": 1.223, "step": 275 }, { "epoch": 5.02, "learning_rate": 0.0002918486226104327, "loss": 0.1702, "step": 276 }, { "epoch": 5.09, "learning_rate": 0.00028557870956832135, "loss": 0.1767, "step": 280 }, { "epoch": 5.16, "learning_rate": 0.0002792858679969596, "loss": 0.1589, "step": 284 }, { "epoch": 5.24, "learning_rate": 0.0002729741532880069, "loss": 0.2729, "step": 288 }, { "epoch": 5.31, "learning_rate": 0.000266647632995826, "loss": 0.1429, "step": 292 }, { "epoch": 5.38, "learning_rate": 0.00026031038421616684, "loss": 0.1383, "step": 296 }, { "epoch": 5.45, "learning_rate": 0.000253966490958702, "loss": 0.13, "step": 300 }, { "epoch": 5.53, "learning_rate": 0.00024762004151510585, "loss": 0.1658, "step": 304 }, { "epoch": 5.6, "learning_rate": 0.00024127512582437484, "loss": 0.1392, "step": 308 }, { "epoch": 5.67, "learning_rate": 0.00023493583283708543, "loss": 0.1428, "step": 312 }, { "epoch": 5.75, "learning_rate": 0.00022860624788029015, "loss": 0.1297, "step": 316 }, { "epoch": 5.82, "learning_rate": 0.00022229045002474727, "loss": 0.1518, "step": 320 }, { "epoch": 5.89, "learning_rate": 0.000215992509456184, "loss": 0.1403, "step": 324 }, { "epoch": 5.96, "learning_rate": 0.000209716484852284, "loss": 0.1399, "step": 328 }, { "epoch": 6.0, "pls_score": 65.2, "std": 4.301069634404913, "step": 330 }, { "epoch": 6.0, "eval_loss": 3.191229820251465, "eval_runtime": 4.9103, "eval_samples_per_second": 4.684, "eval_steps_per_second": 1.222, "step": 330 }, { "epoch": 6.04, "learning_rate": 0.0002034664207670925, "loss": 0.1071, "step": 332 }, { "epoch": 6.11, "learning_rate": 0.0001972463450245226, "loss": 0.1114, "step": 336 }, { "epoch": 6.18, "learning_rate": 0.00019106026612264316, "loss": 0.1183, "step": 340 }, { "epoch": 6.25, "learning_rate": 0.00018491217065042198, "loss": 0.1043, "step": 344 }, { "epoch": 6.33, "learning_rate": 0.00017880602071858692, "loss": 0.1192, "step": 348 }, { "epoch": 6.4, "learning_rate": 0.00017274575140626317, "loss": 0.113, "step": 352 }, { "epoch": 6.47, "learning_rate": 0.00016673526822502983, "loss": 0.1097, "step": 356 }, { "epoch": 6.55, "learning_rate": 0.00016077844460203207, "loss": 0.1077, "step": 360 }, { "epoch": 6.62, "learning_rate": 0.00015487911938376925, "loss": 0.1938, "step": 364 }, { "epoch": 6.69, "learning_rate": 0.00014904109436216883, "loss": 0.0989, "step": 368 }, { "epoch": 6.76, "learning_rate": 0.00014326813182453956, "loss": 0.1273, "step": 372 }, { "epoch": 6.84, "learning_rate": 0.0001375639521289836, "loss": 0.1127, "step": 376 }, { "epoch": 6.91, "learning_rate": 0.00013193223130682935, "loss": 0.105, "step": 380 }, { "epoch": 6.98, "learning_rate": 0.00012637659869363084, "loss": 0.1165, "step": 384 }, { "epoch": 7.0, "pls_score": 65.2, "std": 3.657758876689387, "step": 385 }, { "epoch": 7.0, "eval_loss": 3.3320090770721436, "eval_runtime": 4.9071, "eval_samples_per_second": 4.687, "eval_steps_per_second": 1.223, "step": 385 }, { "epoch": 7.05, "learning_rate": 0.00012090063459025954, "loss": 0.103, "step": 388 }, { "epoch": 7.13, "learning_rate": 0.0001155078679555969, "loss": 0.0854, "step": 392 }, { "epoch": 7.2, "learning_rate": 0.00011020177413231333, "loss": 0.1, "step": 396 }, { "epoch": 7.27, "learning_rate": 0.00010498577260720049, "loss": 0.0961, "step": 400 }, { "epoch": 7.35, "learning_rate": 9.986322480749927e-05, "loss": 0.1158, "step": 404 }, { "epoch": 7.42, "learning_rate": 9.483743193464408e-05, "loss": 0.1063, "step": 408 }, { "epoch": 7.49, "learning_rate": 8.991163283681945e-05, "loss": 0.0967, "step": 412 }, { "epoch": 7.56, "learning_rate": 8.508900192169963e-05, "loss": 0.1014, "step": 416 }, { "epoch": 7.64, "learning_rate": 8.037264711071699e-05, "loss": 0.1042, "step": 420 }, { "epoch": 7.71, "learning_rate": 7.576560783617667e-05, "loss": 0.2074, "step": 424 }, { "epoch": 7.78, "learning_rate": 7.127085308250913e-05, "loss": 0.1024, "step": 428 }, { "epoch": 7.85, "learning_rate": 6.689127947292231e-05, "loss": 0.0967, "step": 432 }, { "epoch": 7.93, "learning_rate": 6.262970940268654e-05, "loss": 0.0975, "step": 436 }, { "epoch": 8.0, "learning_rate": 5.848888922025553e-05, "loss": 0.1057, "step": 440 }, { "epoch": 8.07, "learning_rate": 5.4471487457395216e-05, "loss": 0.0918, "step": 444 }, { "epoch": 8.15, "learning_rate": 5.058009310946118e-05, "loss": 0.1813, "step": 448 }, { "epoch": 8.22, "learning_rate": 4.6817213966933034e-05, "loss": 0.0943, "step": 452 }, { "epoch": 8.29, "learning_rate": 4.318527499928074e-05, "loss": 0.09, "step": 456 }, { "epoch": 8.36, "learning_rate": 3.968661679220467e-05, "loss": 0.0994, "step": 460 }, { "epoch": 8.44, "learning_rate": 3.632349403925664e-05, "loss": 0.0961, "step": 464 }, { "epoch": 8.51, "learning_rate": 3.309807408881269e-05, "loss": 0.0952, "step": 468 }, { "epoch": 8.58, "learning_rate": 3.0012435547336736e-05, "loss": 0.0961, "step": 472 }, { "epoch": 8.65, "learning_rate": 2.7068566939831645e-05, "loss": 0.092, "step": 476 }, { "epoch": 8.73, "learning_rate": 2.4268365428344735e-05, "loss": 0.0947, "step": 480 }, { "epoch": 8.8, "learning_rate": 2.1613635589349755e-05, "loss": 0.123, "step": 484 }, { "epoch": 8.87, "learning_rate": 1.9106088250797264e-05, "loss": 0.0902, "step": 488 }, { "epoch": 8.95, "learning_rate": 1.674733938957873e-05, "loss": 0.0972, "step": 492 }, { "epoch": 9.0, "pls_score": 64.89795918367346, "std": 4.062428792618158, "step": 495 }, { "epoch": 9.0, "eval_loss": 3.483757972717285, "eval_runtime": 4.9102, "eval_samples_per_second": 4.684, "eval_steps_per_second": 1.222, "step": 495 }, { "epoch": 9.02, "learning_rate": 1.4538909090118846e-05, "loss": 0.0866, "step": 496 }, { "epoch": 9.09, "learning_rate": 1.2482220564763668e-05, "loss": 0.1054, "step": 500 }, { "epoch": 9.16, "learning_rate": 1.0578599236598707e-05, "loss": 0.1056, "step": 504 }, { "epoch": 9.24, "learning_rate": 8.829271885286095e-06, "loss": 0.0989, "step": 508 }, { "epoch": 9.31, "learning_rate": 7.235365856472442e-06, "loss": 0.0905, "step": 512 }, { "epoch": 9.38, "learning_rate": 5.797908335276214e-06, "loss": 0.0913, "step": 516 }, { "epoch": 9.45, "learning_rate": 4.517825684323323e-06, "loss": 0.0861, "step": 520 }, { "epoch": 9.53, "learning_rate": 3.3959428467570664e-06, "loss": 0.1116, "step": 524 }, { "epoch": 9.6, "learning_rate": 2.4329828146074094e-06, "loss": 0.0846, "step": 528 }, { "epoch": 9.67, "learning_rate": 1.6295661628624448e-06, "loss": 0.0971, "step": 532 }, { "epoch": 9.75, "learning_rate": 9.862106495415469e-07, "loss": 0.0972, "step": 536 }, { "epoch": 9.82, "learning_rate": 5.033308820289185e-07, "loss": 0.0899, "step": 540 }, { "epoch": 9.89, "learning_rate": 1.8123804988159908e-07, "loss": 0.0871, "step": 544 }, { "epoch": 9.96, "learning_rate": 2.0139724285161975e-08, "loss": 0.1639, "step": 548 }, { "epoch": 10.0, "pls_score": 67.6, "std": 3.873602973976553, "step": 550 }, { "epoch": 10.0, "eval_loss": 3.4886670112609863, "eval_runtime": 4.9132, "eval_samples_per_second": 4.681, "eval_steps_per_second": 1.221, "step": 550 }, { "epoch": 10.0, "step": 550, "total_flos": 1.876960441287475e+16, "train_loss": 0.020198198123411698, "train_runtime": 4992.1656, "train_samples_per_second": 0.435, "train_steps_per_second": 0.11 } ], "logging_steps": 4, "max_steps": 550, "num_input_tokens_seen": 0, "num_train_epochs": 10, "save_steps": 55, "total_flos": 1.876960441287475e+16, "train_batch_size": 4, "trial_name": null, "trial_params": null }