{ "best_metric": null, "best_model_checkpoint": null, "epoch": 20.0, "eval_steps": 500, "global_step": 1100, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "learning_rate": 4.5454545454545455e-06, "loss": 2.3833, "step": 1 }, { "epoch": 0.07, "learning_rate": 1.8181818181818182e-05, "loss": 2.4734, "step": 4 }, { "epoch": 0.15, "learning_rate": 3.6363636363636364e-05, "loss": 2.2655, "step": 8 }, { "epoch": 0.22, "learning_rate": 5.4545454545454546e-05, "loss": 2.2091, "step": 12 }, { "epoch": 0.29, "learning_rate": 7.272727272727273e-05, "loss": 2.1358, "step": 16 }, { "epoch": 0.36, "learning_rate": 9.090909090909092e-05, "loss": 2.0997, "step": 20 }, { "epoch": 0.44, "learning_rate": 0.00010909090909090909, "loss": 1.931, "step": 24 }, { "epoch": 0.51, "learning_rate": 0.00012727272727272725, "loss": 2.0453, "step": 28 }, { "epoch": 0.58, "learning_rate": 0.00014545454545454546, "loss": 1.9392, "step": 32 }, { "epoch": 0.65, "learning_rate": 0.00016363636363636363, "loss": 1.8909, "step": 36 }, { "epoch": 0.73, "learning_rate": 0.00018181818181818183, "loss": 1.7724, "step": 40 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 1.854, "step": 44 }, { "epoch": 0.87, "learning_rate": 0.00021818181818181818, "loss": 1.9588, "step": 48 }, { "epoch": 0.95, "learning_rate": 0.00023636363636363636, "loss": 1.8768, "step": 52 }, { "epoch": 1.0, "gpt4_scores": 0.67, "step": 55 }, { "epoch": 1.0, "std": 0.12413702106946178, "step": 55 }, { "epoch": 1.0, "eval_loss": 1.84342360496521, "eval_runtime": 4.9467, "eval_samples_per_second": 4.65, "eval_steps_per_second": 1.213, "step": 55 }, { "epoch": 1.02, "learning_rate": 0.0002545454545454545, "loss": 1.7451, "step": 56 }, { "epoch": 1.09, "learning_rate": 0.00027272727272727274, "loss": 1.7394, "step": 60 }, { "epoch": 1.16, "learning_rate": 0.0002909090909090909, "loss": 1.6971, "step": 64 }, { "epoch": 1.24, "learning_rate": 0.0003090909090909091, "loss": 1.6419, "step": 68 }, { "epoch": 1.31, "learning_rate": 0.00032727272727272726, "loss": 1.65, "step": 72 }, { "epoch": 1.38, "learning_rate": 0.00034545454545454544, "loss": 1.594, "step": 76 }, { "epoch": 1.45, "learning_rate": 0.00036363636363636367, "loss": 1.5985, "step": 80 }, { "epoch": 1.53, "learning_rate": 0.00038181818181818184, "loss": 1.719, "step": 84 }, { "epoch": 1.6, "learning_rate": 0.0004, "loss": 1.655, "step": 88 }, { "epoch": 1.67, "learning_rate": 0.00041818181818181814, "loss": 1.6052, "step": 92 }, { "epoch": 1.75, "learning_rate": 0.00043636363636363637, "loss": 1.6288, "step": 96 }, { "epoch": 1.82, "learning_rate": 0.00045454545454545455, "loss": 1.6272, "step": 100 }, { "epoch": 1.89, "learning_rate": 0.0004727272727272727, "loss": 1.6124, "step": 104 }, { "epoch": 1.96, "learning_rate": 0.0004909090909090909, "loss": 1.5109, "step": 108 }, { "epoch": 2.0, "gpt4_scores": 0.675, "step": 110 }, { "epoch": 2.0, "std": 0.11688669727560959, "step": 110 }, { "epoch": 2.0, "eval_loss": 1.89065682888031, "eval_runtime": 4.9546, "eval_samples_per_second": 4.642, "eval_steps_per_second": 1.211, "step": 110 }, { "epoch": 2.04, "learning_rate": 0.0004999949650182266, "loss": 1.3323, "step": 112 }, { "epoch": 2.11, "learning_rate": 0.0004999546863808815, "loss": 1.0715, "step": 116 }, { "epoch": 2.18, "learning_rate": 0.0004998741355957963, "loss": 0.8812, "step": 120 }, { "epoch": 2.25, "learning_rate": 0.0004997533256411359, "loss": 0.9464, "step": 124 }, { "epoch": 2.33, "learning_rate": 0.0004995922759815339, "loss": 0.9049, "step": 128 }, { "epoch": 2.4, "learning_rate": 0.0004993910125649561, "loss": 0.9246, "step": 132 }, { "epoch": 2.47, "learning_rate": 0.0004991495678185201, "loss": 1.0853, "step": 136 }, { "epoch": 2.55, "learning_rate": 0.0004988679806432712, "loss": 1.1289, "step": 140 }, { "epoch": 2.62, "learning_rate": 0.0004985462964079136, "loss": 0.9598, "step": 144 }, { "epoch": 2.69, "learning_rate": 0.0004981845669415021, "loss": 0.8825, "step": 148 }, { "epoch": 2.76, "learning_rate": 0.0004977828505250904, "loss": 0.985, "step": 152 }, { "epoch": 2.84, "learning_rate": 0.0004973412118823412, "loss": 0.9869, "step": 156 }, { "epoch": 2.91, "learning_rate": 0.0004968597221690986, "loss": 0.985, "step": 160 }, { "epoch": 2.98, "learning_rate": 0.0004963384589619233, "loss": 1.1215, "step": 164 }, { "epoch": 3.0, "gpt4_scores": 0.67, "step": 165 }, { "epoch": 3.0, "std": 0.11920570456148481, "step": 165 }, { "epoch": 3.0, "eval_loss": 2.164942741394043, "eval_runtime": 4.9498, "eval_samples_per_second": 4.647, "eval_steps_per_second": 1.212, "step": 165 }, { "epoch": 3.05, "learning_rate": 0.0004957775062455933, "loss": 0.8362, "step": 168 }, { "epoch": 3.13, "learning_rate": 0.0004951769543995731, "loss": 0.3812, "step": 172 }, { "epoch": 3.2, "learning_rate": 0.0004945369001834514, "loss": 0.4813, "step": 176 }, { "epoch": 3.27, "learning_rate": 0.0004938574467213517, "loss": 0.4693, "step": 180 }, { "epoch": 3.35, "learning_rate": 0.0004931387034853173, "loss": 0.447, "step": 184 }, { "epoch": 3.42, "learning_rate": 0.0004923807862776728, "loss": 0.6197, "step": 188 }, { "epoch": 3.49, "learning_rate": 0.0004915838172123671, "loss": 0.5158, "step": 192 }, { "epoch": 3.56, "learning_rate": 0.0004907479246952981, "loss": 0.5785, "step": 196 }, { "epoch": 3.64, "learning_rate": 0.0004898732434036243, "loss": 0.5258, "step": 200 }, { "epoch": 3.71, "learning_rate": 0.0004889599142640663, "loss": 0.4577, "step": 204 }, { "epoch": 3.78, "learning_rate": 0.0004880080844302004, "loss": 0.5965, "step": 208 }, { "epoch": 3.85, "learning_rate": 0.0004870179072587499, "loss": 0.5373, "step": 212 }, { "epoch": 3.93, "learning_rate": 0.0004859895422848767, "loss": 0.4731, "step": 216 }, { "epoch": 4.0, "learning_rate": 0.0004849231551964771, "loss": 0.4876, "step": 220 }, { "epoch": 4.0, "gpt4_scores": 0.61, "step": 220 }, { "epoch": 4.0, "std": 0.12445882853377657, "step": 220 }, { "epoch": 4.0, "eval_loss": 2.6900253295898438, "eval_runtime": 4.9381, "eval_samples_per_second": 4.658, "eval_steps_per_second": 1.215, "step": 220 }, { "epoch": 4.07, "learning_rate": 0.00048381891780748665, "loss": 0.288, "step": 224 }, { "epoch": 4.15, "learning_rate": 0.00048267700803019775, "loss": 0.2556, "step": 228 }, { "epoch": 4.22, "learning_rate": 0.0004814976098465951, "loss": 0.2897, "step": 232 }, { "epoch": 4.29, "learning_rate": 0.00048028091327871256, "loss": 0.2375, "step": 236 }, { "epoch": 4.36, "learning_rate": 0.0004790271143580174, "loss": 0.2367, "step": 240 }, { "epoch": 4.44, "learning_rate": 0.00047773641509382626, "loss": 0.2878, "step": 244 }, { "epoch": 4.51, "learning_rate": 0.0004764090234407577, "loss": 0.3138, "step": 248 }, { "epoch": 4.58, "learning_rate": 0.00047504515326522696, "loss": 0.277, "step": 252 }, { "epoch": 4.65, "learning_rate": 0.0004736450243109884, "loss": 0.2624, "step": 256 }, { "epoch": 4.73, "learning_rate": 0.0004722088621637309, "loss": 0.2888, "step": 260 }, { "epoch": 4.8, "learning_rate": 0.00047073689821473173, "loss": 0.2256, "step": 264 }, { "epoch": 4.87, "learning_rate": 0.00046922936962357577, "loss": 0.2243, "step": 268 }, { "epoch": 4.95, "learning_rate": 0.00046768651927994433, "loss": 0.2916, "step": 272 }, { "epoch": 5.0, "gpt4_scores": 0.63, "step": 275 }, { "epoch": 5.0, "std": 0.12573782247199924, "step": 275 }, { "epoch": 5.0, "eval_loss": 2.821211099624634, "eval_runtime": 4.9351, "eval_samples_per_second": 4.661, "eval_steps_per_second": 1.216, "step": 275 }, { "epoch": 5.02, "learning_rate": 0.0004661085957644817, "loss": 0.233, "step": 276 }, { "epoch": 5.09, "learning_rate": 0.0004644958533087443, "loss": 0.1537, "step": 280 }, { "epoch": 5.16, "learning_rate": 0.0004628485517542392, "loss": 0.1743, "step": 284 }, { "epoch": 5.24, "learning_rate": 0.0004611669565105596, "loss": 0.1827, "step": 288 }, { "epoch": 5.31, "learning_rate": 0.00045945133851262184, "loss": 0.1928, "step": 292 }, { "epoch": 5.38, "learning_rate": 0.00045770197417701366, "loss": 0.1718, "step": 296 }, { "epoch": 5.45, "learning_rate": 0.0004559191453574582, "loss": 0.166, "step": 300 }, { "epoch": 5.53, "learning_rate": 0.00045410313929940244, "loss": 0.1484, "step": 304 }, { "epoch": 5.6, "learning_rate": 0.0004522542485937369, "loss": 0.1521, "step": 308 }, { "epoch": 5.67, "learning_rate": 0.00045037277112965383, "loss": 0.195, "step": 312 }, { "epoch": 5.75, "learning_rate": 0.0004484590100466523, "loss": 0.153, "step": 316 }, { "epoch": 5.82, "learning_rate": 0.0004465132736856969, "loss": 0.1751, "step": 320 }, { "epoch": 5.89, "learning_rate": 0.0004445358755395382, "loss": 0.2153, "step": 324 }, { "epoch": 5.96, "learning_rate": 0.00044252713420220394, "loss": 0.1983, "step": 328 }, { "epoch": 6.0, "gpt4_scores": 0.7500000000000001, "step": 330 }, { "epoch": 6.0, "std": 0.0972111104761179, "step": 330 }, { "epoch": 6.0, "eval_loss": 2.8983585834503174, "eval_runtime": 4.9684, "eval_samples_per_second": 4.629, "eval_steps_per_second": 1.208, "step": 330 }, { "epoch": 6.04, "learning_rate": 0.0004404873733176677, "loss": 0.1353, "step": 332 }, { "epoch": 6.11, "learning_rate": 0.00043841692152770415, "loss": 0.102, "step": 336 }, { "epoch": 6.18, "learning_rate": 0.0004363161124189387, "loss": 0.1055, "step": 340 }, { "epoch": 6.25, "learning_rate": 0.00043418528446910123, "loss": 0.0998, "step": 344 }, { "epoch": 6.33, "learning_rate": 0.00043202478099249104, "loss": 0.1168, "step": 348 }, { "epoch": 6.4, "learning_rate": 0.0004298349500846628, "loss": 0.1156, "step": 352 }, { "epoch": 6.47, "learning_rate": 0.00042761614456634226, "loss": 0.1345, "step": 356 }, { "epoch": 6.55, "learning_rate": 0.00042536872192658034, "loss": 0.0968, "step": 360 }, { "epoch": 6.62, "learning_rate": 0.0004230930442651557, "loss": 0.1179, "step": 364 }, { "epoch": 6.69, "learning_rate": 0.00042078947823423365, "loss": 0.0959, "step": 368 }, { "epoch": 6.76, "learning_rate": 0.00041845839497929203, "loss": 0.1078, "step": 372 }, { "epoch": 6.84, "learning_rate": 0.0004161001700793231, "loss": 0.1175, "step": 376 }, { "epoch": 6.91, "learning_rate": 0.0004137151834863213, "loss": 0.1095, "step": 380 }, { "epoch": 6.98, "learning_rate": 0.00041130381946406574, "loss": 0.1199, "step": 384 }, { "epoch": 7.0, "gpt4_scores": 0.49000000000000005, "step": 385 }, { "epoch": 7.0, "std": 0.12525973016097391, "step": 385 }, { "epoch": 7.0, "eval_loss": 2.949794292449951, "eval_runtime": 4.9646, "eval_samples_per_second": 4.633, "eval_steps_per_second": 1.209, "step": 385 }, { "epoch": 7.05, "learning_rate": 0.0004088664665262091, "loss": 0.076, "step": 388 }, { "epoch": 7.13, "learning_rate": 0.0004064035173736804, "loss": 0.0709, "step": 392 }, { "epoch": 7.2, "learning_rate": 0.00040391536883141455, "loss": 0.073, "step": 396 }, { "epoch": 7.27, "learning_rate": 0.00040140242178441667, "loss": 0.0819, "step": 400 }, { "epoch": 7.35, "learning_rate": 0.000398865081113172, "loss": 0.0643, "step": 404 }, { "epoch": 7.42, "learning_rate": 0.0003963037556284129, "loss": 0.1603, "step": 408 }, { "epoch": 7.49, "learning_rate": 0.0003937188580052518, "loss": 0.119, "step": 412 }, { "epoch": 7.56, "learning_rate": 0.0003911108047166924, "loss": 0.0754, "step": 416 }, { "epoch": 7.64, "learning_rate": 0.0003884800159665276, "loss": 0.0622, "step": 420 }, { "epoch": 7.71, "learning_rate": 0.00038582691562163827, "loss": 0.0711, "step": 424 }, { "epoch": 7.78, "learning_rate": 0.00038315193114369994, "loss": 0.0643, "step": 428 }, { "epoch": 7.85, "learning_rate": 0.0003804554935203115, "loss": 0.0672, "step": 432 }, { "epoch": 7.93, "learning_rate": 0.00037773803719555514, "loss": 0.0688, "step": 436 }, { "epoch": 8.0, "learning_rate": 0.000375, "loss": 0.0743, "step": 440 }, { "epoch": 8.0, "gpt4_scores": 0.51, "step": 440 }, { "epoch": 8.0, "std": 0.12763228431709586, "step": 440 }, { "epoch": 8.0, "eval_loss": 3.250723123550415, "eval_runtime": 4.9396, "eval_samples_per_second": 4.656, "eval_steps_per_second": 1.215, "step": 440 }, { "epoch": 8.07, "learning_rate": 0.00037224182308015974, "loss": 0.0528, "step": 444 }, { "epoch": 8.15, "learning_rate": 0.0003694639508274158, "loss": 0.0502, "step": 448 }, { "epoch": 8.22, "learning_rate": 0.00036666683080641843, "loss": 0.0659, "step": 452 }, { "epoch": 8.29, "learning_rate": 0.0003638509136829758, "loss": 0.065, "step": 456 }, { "epoch": 8.36, "learning_rate": 0.00036101665315144355, "loss": 0.0524, "step": 460 }, { "epoch": 8.44, "learning_rate": 0.00035816450586162706, "loss": 0.0565, "step": 464 }, { "epoch": 8.51, "learning_rate": 0.00035529493134520666, "loss": 0.0432, "step": 468 }, { "epoch": 8.58, "learning_rate": 0.00035240839194169884, "loss": 0.0582, "step": 472 }, { "epoch": 8.65, "learning_rate": 0.0003495053527239656, "loss": 0.0507, "step": 476 }, { "epoch": 8.73, "learning_rate": 0.00034658628142328216, "loss": 0.0571, "step": 480 }, { "epoch": 8.8, "learning_rate": 0.00034365164835397803, "loss": 0.0925, "step": 484 }, { "epoch": 8.87, "learning_rate": 0.00034070192633766023, "loss": 0.0601, "step": 488 }, { "epoch": 8.95, "learning_rate": 0.00033773759062703394, "loss": 0.062, "step": 492 }, { "epoch": 9.0, "gpt4_scores": 0.53, "step": 495 }, { "epoch": 9.0, "std": 0.1192057045614848, "step": 495 }, { "epoch": 9.0, "eval_loss": 3.1474077701568604, "eval_runtime": 4.9704, "eval_samples_per_second": 4.627, "eval_steps_per_second": 1.207, "step": 495 }, { "epoch": 9.02, "learning_rate": 0.0003347591188293301, "loss": 0.0535, "step": 496 }, { "epoch": 9.09, "learning_rate": 0.00033176699082935546, "loss": 0.0484, "step": 500 }, { "epoch": 9.16, "learning_rate": 0.00032876168871217323, "loss": 0.0541, "step": 504 }, { "epoch": 9.24, "learning_rate": 0.00032574369668543187, "loss": 0.0438, "step": 508 }, { "epoch": 9.31, "learning_rate": 0.00032271350100134975, "loss": 0.0451, "step": 512 }, { "epoch": 9.38, "learning_rate": 0.00031967158987837195, "loss": 0.0403, "step": 516 }, { "epoch": 9.45, "learning_rate": 0.0003166184534225087, "loss": 0.0517, "step": 520 }, { "epoch": 9.53, "learning_rate": 0.0003135545835483718, "loss": 0.0498, "step": 524 }, { "epoch": 9.6, "learning_rate": 0.0003104804738999169, "loss": 0.0516, "step": 528 }, { "epoch": 9.67, "learning_rate": 0.00030739661977091025, "loss": 0.0487, "step": 532 }, { "epoch": 9.75, "learning_rate": 0.00030430351802512693, "loss": 0.045, "step": 536 }, { "epoch": 9.82, "learning_rate": 0.0003012016670162977, "loss": 0.0397, "step": 540 }, { "epoch": 9.89, "learning_rate": 0.00029809156650781527, "loss": 0.0484, "step": 544 }, { "epoch": 9.96, "learning_rate": 0.0002949737175922135, "loss": 0.0404, "step": 548 }, { "epoch": 10.0, "gpt4_scores": 0.6749999999999999, "step": 550 }, { "epoch": 10.0, "std": 0.11602801385872293, "step": 550 }, { "epoch": 10.0, "eval_loss": 3.3666398525238037, "eval_runtime": 4.9475, "eval_samples_per_second": 4.649, "eval_steps_per_second": 1.213, "step": 550 }, { "epoch": 10.04, "learning_rate": 0.0002918486226104327, "loss": 0.0403, "step": 552 }, { "epoch": 10.11, "learning_rate": 0.0002887167850708831, "loss": 0.0401, "step": 556 }, { "epoch": 10.18, "learning_rate": 0.00028557870956832135, "loss": 0.0442, "step": 560 }, { "epoch": 10.25, "learning_rate": 0.00028243490170255044, "loss": 0.041, "step": 564 }, { "epoch": 10.33, "learning_rate": 0.0002792858679969596, "loss": 0.036, "step": 568 }, { "epoch": 10.4, "learning_rate": 0.0002761321158169134, "loss": 0.0533, "step": 572 }, { "epoch": 10.47, "learning_rate": 0.0002729741532880069, "loss": 0.0506, "step": 576 }, { "epoch": 10.55, "learning_rate": 0.0002698124892141971, "loss": 0.0532, "step": 580 }, { "epoch": 10.62, "learning_rate": 0.000266647632995826, "loss": 0.0468, "step": 584 }, { "epoch": 10.69, "learning_rate": 0.0002634800945475465, "loss": 0.0396, "step": 588 }, { "epoch": 10.76, "learning_rate": 0.00026031038421616684, "loss": 0.0383, "step": 592 }, { "epoch": 10.84, "learning_rate": 0.00025713901269842405, "loss": 0.0475, "step": 596 }, { "epoch": 10.91, "learning_rate": 0.000253966490958702, "loss": 0.0491, "step": 600 }, { "epoch": 10.98, "learning_rate": 0.00025079333014670557, "loss": 0.038, "step": 604 }, { "epoch": 11.0, "gpt4_scores": 0.63, "step": 605 }, { "epoch": 11.0, "std": 0.11580155439371269, "step": 605 }, { "epoch": 11.0, "eval_loss": 3.3349289894104004, "eval_runtime": 4.9384, "eval_samples_per_second": 4.657, "eval_steps_per_second": 1.215, "step": 605 }, { "epoch": 11.05, "learning_rate": 0.00024762004151510585, "loss": 0.0482, "step": 608 }, { "epoch": 11.13, "learning_rate": 0.00024444713633716764, "loss": 0.0356, "step": 612 }, { "epoch": 11.2, "learning_rate": 0.00024127512582437484, "loss": 0.0444, "step": 616 }, { "epoch": 11.27, "learning_rate": 0.00023810452104406444, "loss": 0.0411, "step": 620 }, { "epoch": 11.35, "learning_rate": 0.00023493583283708543, "loss": 0.0441, "step": 624 }, { "epoch": 11.42, "learning_rate": 0.00023176957173549233, "loss": 0.0393, "step": 628 }, { "epoch": 11.49, "learning_rate": 0.00022860624788029015, "loss": 0.0363, "step": 632 }, { "epoch": 11.56, "learning_rate": 0.00022544637093924072, "loss": 0.0393, "step": 636 }, { "epoch": 11.64, "learning_rate": 0.00022229045002474727, "loss": 0.0452, "step": 640 }, { "epoch": 11.71, "learning_rate": 0.00021913899361182632, "loss": 0.0417, "step": 644 }, { "epoch": 11.78, "learning_rate": 0.000215992509456184, "loss": 0.0366, "step": 648 }, { "epoch": 11.85, "learning_rate": 0.00021285150451240712, "loss": 0.0443, "step": 652 }, { "epoch": 11.93, "learning_rate": 0.000209716484852284, "loss": 0.0447, "step": 656 }, { "epoch": 12.0, "learning_rate": 0.00020658795558326743, "loss": 0.0374, "step": 660 }, { "epoch": 12.0, "gpt4_scores": 0.6100000000000001, "step": 660 }, { "epoch": 12.0, "std": 0.12841339493993606, "step": 660 }, { "epoch": 12.0, "eval_loss": 3.4455862045288086, "eval_runtime": 4.9572, "eval_samples_per_second": 4.64, "eval_steps_per_second": 1.21, "step": 660 }, { "epoch": 12.07, "learning_rate": 0.0002034664207670925, "loss": 0.0442, "step": 664 }, { "epoch": 12.15, "learning_rate": 0.00020035238333856371, "loss": 0.0391, "step": 668 }, { "epoch": 12.22, "learning_rate": 0.0001972463450245226, "loss": 0.0392, "step": 672 }, { "epoch": 12.29, "learning_rate": 0.00019414880626301146, "loss": 0.0426, "step": 676 }, { "epoch": 12.36, "learning_rate": 0.00019106026612264316, "loss": 0.043, "step": 680 }, { "epoch": 12.44, "learning_rate": 0.0001879812222221929, "loss": 0.0395, "step": 684 }, { "epoch": 12.51, "learning_rate": 0.00018491217065042198, "loss": 0.0396, "step": 688 }, { "epoch": 12.58, "learning_rate": 0.00018185360588615057, "loss": 0.0394, "step": 692 }, { "epoch": 12.65, "learning_rate": 0.00017880602071858692, "loss": 0.0403, "step": 696 }, { "epoch": 12.73, "learning_rate": 0.00017576990616793137, "loss": 0.0349, "step": 700 }, { "epoch": 12.8, "learning_rate": 0.00017274575140626317, "loss": 0.0404, "step": 704 }, { "epoch": 12.87, "learning_rate": 0.0001697340436787273, "loss": 0.0344, "step": 708 }, { "epoch": 12.95, "learning_rate": 0.00016673526822502983, "loss": 0.0384, "step": 712 }, { "epoch": 13.0, "gpt4_scores": 0.53, "step": 715 }, { "epoch": 13.0, "std": 0.13787675656179324, "step": 715 }, { "epoch": 13.0, "eval_loss": 3.4822309017181396, "eval_runtime": 4.946, "eval_samples_per_second": 4.65, "eval_steps_per_second": 1.213, "step": 715 }, { "epoch": 13.02, "learning_rate": 0.0001637499082012574, "loss": 0.0522, "step": 716 }, { "epoch": 13.09, "learning_rate": 0.00016077844460203207, "loss": 0.0384, "step": 720 }, { "epoch": 13.16, "learning_rate": 0.00015782135618301485, "loss": 0.0336, "step": 724 }, { "epoch": 13.24, "learning_rate": 0.00015487911938376925, "loss": 0.0401, "step": 728 }, { "epoch": 13.31, "learning_rate": 0.00015195220825099862, "loss": 0.0395, "step": 732 }, { "epoch": 13.38, "learning_rate": 0.00014904109436216883, "loss": 0.0414, "step": 736 }, { "epoch": 13.45, "learning_rate": 0.0001461462467495284, "loss": 0.0393, "step": 740 }, { "epoch": 13.53, "learning_rate": 0.00014326813182453956, "loss": 0.0383, "step": 744 }, { "epoch": 13.6, "learning_rate": 0.00014040721330273062, "loss": 0.038, "step": 748 }, { "epoch": 13.67, "learning_rate": 0.0001375639521289836, "loss": 0.0383, "step": 752 }, { "epoch": 13.75, "learning_rate": 0.00013473880640326724, "loss": 0.0405, "step": 756 }, { "epoch": 13.82, "learning_rate": 0.00013193223130682935, "loss": 0.0422, "step": 760 }, { "epoch": 13.89, "learning_rate": 0.000129144679028859, "loss": 0.0408, "step": 764 }, { "epoch": 13.96, "learning_rate": 0.00012637659869363084, "loss": 0.0408, "step": 768 }, { "epoch": 14.0, "gpt4_scores": 0.6500000000000001, "step": 770 }, { "epoch": 14.0, "std": 0.11423659658795862, "step": 770 }, { "epoch": 14.0, "eval_loss": 3.471827983856201, "eval_runtime": 4.9416, "eval_samples_per_second": 4.654, "eval_steps_per_second": 1.214, "step": 770 }, { "epoch": 14.04, "learning_rate": 0.00012362843628814266, "loss": 0.0343, "step": 772 }, { "epoch": 14.11, "learning_rate": 0.00012090063459025954, "loss": 0.0386, "step": 776 }, { "epoch": 14.18, "learning_rate": 0.00011819363309737438, "loss": 0.0412, "step": 780 }, { "epoch": 14.25, "learning_rate": 0.0001155078679555969, "loss": 0.0402, "step": 784 }, { "epoch": 14.33, "learning_rate": 0.00011284377188948258, "loss": 0.038, "step": 788 }, { "epoch": 14.4, "learning_rate": 0.00011020177413231333, "loss": 0.0367, "step": 792 }, { "epoch": 14.47, "learning_rate": 0.0001075823003569403, "loss": 0.0449, "step": 796 }, { "epoch": 14.55, "learning_rate": 0.00010498577260720049, "loss": 0.036, "step": 800 }, { "epoch": 14.62, "learning_rate": 0.00010241260922991761, "loss": 0.0385, "step": 804 }, { "epoch": 14.69, "learning_rate": 9.986322480749927e-05, "loss": 0.0428, "step": 808 }, { "epoch": 14.76, "learning_rate": 9.733803009114044e-05, "loss": 0.0375, "step": 812 }, { "epoch": 14.84, "learning_rate": 9.483743193464408e-05, "loss": 0.0435, "step": 816 }, { "epoch": 14.91, "learning_rate": 9.236183322886945e-05, "loss": 0.0394, "step": 820 }, { "epoch": 14.98, "learning_rate": 8.991163283681945e-05, "loss": 0.0347, "step": 824 }, { "epoch": 15.0, "gpt4_scores": 0.67, "step": 825 }, { "epoch": 15.0, "std": 0.11644741302407709, "step": 825 }, { "epoch": 15.0, "eval_loss": 3.502847671508789, "eval_runtime": 4.9425, "eval_samples_per_second": 4.654, "eval_steps_per_second": 1.214, "step": 825 }, { "epoch": 15.05, "learning_rate": 8.748722552937688e-05, "loss": 0.0395, "step": 828 }, { "epoch": 15.13, "learning_rate": 8.508900192169963e-05, "loss": 0.0389, "step": 832 }, { "epoch": 15.2, "learning_rate": 8.271734841028553e-05, "loss": 0.0425, "step": 836 }, { "epoch": 15.27, "learning_rate": 8.037264711071699e-05, "loss": 0.0403, "step": 840 }, { "epoch": 15.35, "learning_rate": 7.805527579609576e-05, "loss": 0.0405, "step": 844 }, { "epoch": 15.42, "learning_rate": 7.576560783617667e-05, "loss": 0.0392, "step": 848 }, { "epoch": 15.49, "learning_rate": 7.35040121372109e-05, "loss": 0.0383, "step": 852 }, { "epoch": 15.56, "learning_rate": 7.127085308250913e-05, "loss": 0.0404, "step": 856 }, { "epoch": 15.64, "learning_rate": 6.906649047373245e-05, "loss": 0.0347, "step": 860 }, { "epoch": 15.71, "learning_rate": 6.689127947292231e-05, "loss": 0.0363, "step": 864 }, { "epoch": 15.78, "learning_rate": 6.474557054527707e-05, "loss": 0.0341, "step": 868 }, { "epoch": 15.85, "learning_rate": 6.262970940268654e-05, "loss": 0.0377, "step": 872 }, { "epoch": 15.93, "learning_rate": 6.054403694803079e-05, "loss": 0.0442, "step": 876 }, { "epoch": 16.0, "learning_rate": 5.848888922025553e-05, "loss": 0.0377, "step": 880 }, { "epoch": 16.0, "gpt4_scores": 0.5700000000000001, "step": 880 }, { "epoch": 16.0, "std": 0.1319469590403659, "step": 880 }, { "epoch": 16.0, "eval_loss": 3.5217506885528564, "eval_runtime": 4.9355, "eval_samples_per_second": 4.66, "eval_steps_per_second": 1.216, "step": 880 }, { "epoch": 16.07, "learning_rate": 5.646459734022938e-05, "loss": 0.041, "step": 884 }, { "epoch": 16.15, "learning_rate": 5.4471487457395216e-05, "loss": 0.0333, "step": 888 }, { "epoch": 16.22, "learning_rate": 5.2509880697220956e-05, "loss": 0.0407, "step": 892 }, { "epoch": 16.29, "learning_rate": 5.058009310946118e-05, "loss": 0.0391, "step": 896 }, { "epoch": 16.36, "learning_rate": 4.8682435617235344e-05, "loss": 0.0365, "step": 900 }, { "epoch": 16.44, "learning_rate": 4.6817213966933034e-05, "loss": 0.0425, "step": 904 }, { "epoch": 16.51, "learning_rate": 4.498472867895223e-05, "loss": 0.0363, "step": 908 }, { "epoch": 16.58, "learning_rate": 4.318527499928074e-05, "loss": 0.0391, "step": 912 }, { "epoch": 16.65, "learning_rate": 4.141914285192619e-05, "loss": 0.0375, "step": 916 }, { "epoch": 16.73, "learning_rate": 3.968661679220467e-05, "loss": 0.0388, "step": 920 }, { "epoch": 16.8, "learning_rate": 3.798797596089351e-05, "loss": 0.0417, "step": 924 }, { "epoch": 16.87, "learning_rate": 3.632349403925664e-05, "loss": 0.0378, "step": 928 }, { "epoch": 16.95, "learning_rate": 3.4693439204949856e-05, "loss": 0.0395, "step": 932 }, { "epoch": 17.0, "gpt4_scores": 0.595, "step": 935 }, { "epoch": 17.0, "std": 0.1132364782214636, "step": 935 }, { "epoch": 17.0, "eval_loss": 3.5319790840148926, "eval_runtime": 4.9408, "eval_samples_per_second": 4.655, "eval_steps_per_second": 1.214, "step": 935 }, { "epoch": 17.02, "learning_rate": 3.309807408881269e-05, "loss": 0.0416, "step": 936 }, { "epoch": 17.09, "learning_rate": 3.1537655732553766e-05, "loss": 0.0409, "step": 940 }, { "epoch": 17.16, "learning_rate": 3.0012435547336736e-05, "loss": 0.0412, "step": 944 }, { "epoch": 17.24, "learning_rate": 2.8522659273273603e-05, "loss": 0.0411, "step": 948 }, { "epoch": 17.31, "learning_rate": 2.7068566939831645e-05, "loss": 0.0332, "step": 952 }, { "epoch": 17.38, "learning_rate": 2.5650392827160445e-05, "loss": 0.0315, "step": 956 }, { "epoch": 17.45, "learning_rate": 2.4268365428344735e-05, "loss": 0.0448, "step": 960 }, { "epoch": 17.53, "learning_rate": 2.29227074125907e-05, "loss": 0.0349, "step": 964 }, { "epoch": 17.6, "learning_rate": 2.1613635589349755e-05, "loss": 0.0367, "step": 968 }, { "epoch": 17.67, "learning_rate": 2.0341360873386672e-05, "loss": 0.0386, "step": 972 }, { "epoch": 17.75, "learning_rate": 1.9106088250797264e-05, "loss": 0.0371, "step": 976 }, { "epoch": 17.82, "learning_rate": 1.7908016745981858e-05, "loss": 0.0369, "step": 980 }, { "epoch": 17.89, "learning_rate": 1.674733938957873e-05, "loss": 0.0464, "step": 984 }, { "epoch": 17.96, "learning_rate": 1.562424318736344e-05, "loss": 0.0408, "step": 988 }, { "epoch": 18.0, "gpt4_scores": 0.59, "step": 990 }, { "epoch": 18.0, "std": 0.13224976370489286, "step": 990 }, { "epoch": 18.0, "eval_loss": 3.537071466445923, "eval_runtime": 4.9404, "eval_samples_per_second": 4.656, "eval_steps_per_second": 1.214, "step": 990 }, { "epoch": 18.04, "learning_rate": 1.4538909090118846e-05, "loss": 0.0424, "step": 992 }, { "epoch": 18.11, "learning_rate": 1.3491511964480702e-05, "loss": 0.0406, "step": 996 }, { "epoch": 18.18, "learning_rate": 1.2482220564763668e-05, "loss": 0.0404, "step": 1000 }, { "epoch": 18.25, "learning_rate": 1.1511197505771842e-05, "loss": 0.039, "step": 1004 }, { "epoch": 18.33, "learning_rate": 1.0578599236598707e-05, "loss": 0.0398, "step": 1008 }, { "epoch": 18.4, "learning_rate": 9.684576015420277e-06, "loss": 0.0347, "step": 1012 }, { "epoch": 18.47, "learning_rate": 8.829271885286095e-06, "loss": 0.0386, "step": 1016 }, { "epoch": 18.55, "learning_rate": 8.012824650910938e-06, "loss": 0.034, "step": 1020 }, { "epoch": 18.62, "learning_rate": 7.235365856472442e-06, "loss": 0.0349, "step": 1024 }, { "epoch": 18.69, "learning_rate": 6.497020764416634e-06, "loss": 0.0376, "step": 1028 }, { "epoch": 18.76, "learning_rate": 5.797908335276214e-06, "loss": 0.0422, "step": 1032 }, { "epoch": 18.84, "learning_rate": 5.1381412085036995e-06, "loss": 0.0404, "step": 1036 }, { "epoch": 18.91, "learning_rate": 4.517825684323323e-06, "loss": 0.0356, "step": 1040 }, { "epoch": 18.98, "learning_rate": 3.937061706604072e-06, "loss": 0.0468, "step": 1044 }, { "epoch": 19.0, "gpt4_scores": 0.575, "step": 1045 }, { "epoch": 19.0, "std": 0.12791598805466028, "step": 1045 }, { "epoch": 19.0, "eval_loss": 3.5391297340393066, "eval_runtime": 4.9485, "eval_samples_per_second": 4.648, "eval_steps_per_second": 1.212, "step": 1045 }, { "epoch": 19.05, "learning_rate": 3.3959428467570664e-06, "loss": 0.0362, "step": 1048 }, { "epoch": 19.13, "learning_rate": 2.8945562886593944e-06, "loss": 0.0408, "step": 1052 }, { "epoch": 19.2, "learning_rate": 2.4329828146074094e-06, "loss": 0.0391, "step": 1056 }, { "epoch": 19.27, "learning_rate": 2.011296792301165e-06, "loss": 0.0376, "step": 1060 }, { "epoch": 19.35, "learning_rate": 1.6295661628624448e-06, "loss": 0.0446, "step": 1064 }, { "epoch": 19.42, "learning_rate": 1.2878524298882698e-06, "loss": 0.0332, "step": 1068 }, { "epoch": 19.49, "learning_rate": 9.862106495415469e-07, "loss": 0.0375, "step": 1072 }, { "epoch": 19.56, "learning_rate": 7.246894216806354e-07, "loss": 0.0451, "step": 1076 }, { "epoch": 19.64, "learning_rate": 5.033308820289185e-07, "loss": 0.0451, "step": 1080 }, { "epoch": 19.71, "learning_rate": 3.221706953860093e-07, "loss": 0.0354, "step": 1084 }, { "epoch": 19.78, "learning_rate": 1.8123804988159908e-07, "loss": 0.0397, "step": 1088 }, { "epoch": 19.85, "learning_rate": 8.0555652272718e-08, "loss": 0.0394, "step": 1092 }, { "epoch": 19.93, "learning_rate": 2.0139724285161975e-08, "loss": 0.0321, "step": 1096 }, { "epoch": 20.0, "learning_rate": 0.0, "loss": 0.0358, "step": 1100 }, { "epoch": 20.0, "gpt4_scores": 0.58, "step": 1100 }, { "epoch": 20.0, "std": 0.12692517480783708, "step": 1100 }, { "epoch": 20.0, "eval_loss": 3.5393826961517334, "eval_runtime": 4.9612, "eval_samples_per_second": 4.636, "eval_steps_per_second": 1.209, "step": 1100 }, { "epoch": 20.0, "step": 1100, "total_flos": 3.792163606268314e+16, "train_loss": 0.31520286625081845, "train_runtime": 10333.7168, "train_samples_per_second": 0.42, "train_steps_per_second": 0.106 } ], "logging_steps": 4, "max_steps": 1100, "num_input_tokens_seen": 0, "num_train_epochs": 20, "save_steps": 55, "total_flos": 3.792163606268314e+16, "train_batch_size": 4, "trial_name": null, "trial_params": null }