Instructions to use CodeIsAbstract/HybridModelScratch_lightn_Conti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_lightn_Conti with Transformers:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_lightn_Conti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.36, | |
| "eval_steps": 1000, | |
| "global_step": 50000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.002, | |
| "grad_norm": 0.5271317362785339, | |
| "learning_rate": 0.00066, | |
| "loss": 7.779569091796875, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.004, | |
| "grad_norm": 0.6387752890586853, | |
| "learning_rate": 0.0009999976160274871, | |
| "loss": 6.24430908203125, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.006, | |
| "grad_norm": 0.42202863097190857, | |
| "learning_rate": 0.000999977956590203, | |
| "loss": 5.698394165039063, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.008, | |
| "grad_norm": 0.42532625794410706, | |
| "learning_rate": 0.0009999384399149713, | |
| "loss": 5.405557861328125, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 0.4566122889518738, | |
| "learning_rate": 0.0009998790675712448, | |
| "loss": 5.189588623046875, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.012, | |
| "grad_norm": 0.4048032760620117, | |
| "learning_rate": 0.000999799841917069, | |
| "loss": 5.048131713867187, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.014, | |
| "grad_norm": 0.33951064944267273, | |
| "learning_rate": 0.0009997007660989881, | |
| "loss": 4.923414611816407, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.016, | |
| "grad_norm": 0.3192354440689087, | |
| "learning_rate": 0.0009995818440519195, | |
| "loss": 4.7589013671875, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.018, | |
| "grad_norm": 0.4026377201080322, | |
| "learning_rate": 0.0009994430804989986, | |
| "loss": 4.643058166503907, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 0.3453679084777832, | |
| "learning_rate": 0.0009992844809513896, | |
| "loss": 4.579913330078125, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_accuracy": 0.269652397386301, | |
| "eval_loss": 4.505138874053955, | |
| "eval_runtime": 6.375, | |
| "eval_samples_per_second": 304.469, | |
| "eval_steps_per_second": 19.137, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.022, | |
| "grad_norm": 0.3148439824581146, | |
| "learning_rate": 0.0009991060517080686, | |
| "loss": 4.5075772094726565, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.024, | |
| "grad_norm": 0.3168841600418091, | |
| "learning_rate": 0.0009989077998555718, | |
| "loss": 4.395697326660156, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.026, | |
| "grad_norm": 0.277462899684906, | |
| "learning_rate": 0.0009986897332677144, | |
| "loss": 4.3901171875, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.028, | |
| "grad_norm": 0.27992936968803406, | |
| "learning_rate": 0.0009984518606052791, | |
| "loss": 4.348124084472656, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 0.2656252980232239, | |
| "learning_rate": 0.0009981941913156701, | |
| "loss": 4.3058538818359375, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.032, | |
| "grad_norm": 0.36868757009506226, | |
| "learning_rate": 0.0009979167356325394, | |
| "loss": 4.28273681640625, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.034, | |
| "grad_norm": 0.25333118438720703, | |
| "learning_rate": 0.0009976195045753797, | |
| "loss": 4.249351501464844, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.036, | |
| "grad_norm": 0.2491893470287323, | |
| "learning_rate": 0.0009973025099490876, | |
| "loss": 4.22731689453125, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.038, | |
| "grad_norm": 0.28424108028411865, | |
| "learning_rate": 0.0009969657643434933, | |
| "loss": 4.169223022460938, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.2666165232658386, | |
| "learning_rate": 0.0009966092811328612, | |
| "loss": 4.170299682617188, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.3056205014664501, | |
| "eval_loss": 4.103638648986816, | |
| "eval_runtime": 6.566, | |
| "eval_samples_per_second": 295.612, | |
| "eval_steps_per_second": 18.58, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.042, | |
| "grad_norm": 0.3338668942451477, | |
| "learning_rate": 0.0009962330744753604, | |
| "loss": 4.163348388671875, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.044, | |
| "grad_norm": 0.25480538606643677, | |
| "learning_rate": 0.0009958371593124988, | |
| "loss": 4.118557434082032, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.046, | |
| "grad_norm": 0.2351720631122589, | |
| "learning_rate": 0.0009954215513685335, | |
| "loss": 4.1006707763671875, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.048, | |
| "grad_norm": 0.23063364624977112, | |
| "learning_rate": 0.0009949862671498437, | |
| "loss": 4.084933166503906, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 0.270161896944046, | |
| "learning_rate": 0.000994531323944276, | |
| "loss": 4.043960876464844, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.052, | |
| "grad_norm": 0.23590487241744995, | |
| "learning_rate": 0.0009940567398204583, | |
| "loss": 4.043964233398437, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.054, | |
| "grad_norm": 0.2604995369911194, | |
| "learning_rate": 0.000993562533627081, | |
| "loss": 4.023601379394531, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.056, | |
| "grad_norm": 0.21301409602165222, | |
| "learning_rate": 0.0009930487249921495, | |
| "loss": 4.006760864257813, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.058, | |
| "grad_norm": 0.21575306355953217, | |
| "learning_rate": 0.0009925153343222043, | |
| "loss": 3.99057861328125, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.2405770868062973, | |
| "learning_rate": 0.00099196238280151, | |
| "loss": 4.004396667480469, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_accuracy": 0.3194532243250246, | |
| "eval_loss": 3.945106267929077, | |
| "eval_runtime": 6.283, | |
| "eval_samples_per_second": 308.927, | |
| "eval_steps_per_second": 19.417, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.062, | |
| "grad_norm": 0.22380003333091736, | |
| "learning_rate": 0.0009913898923912148, | |
| "loss": 3.9952774047851562, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 0.064, | |
| "grad_norm": 0.21692751348018646, | |
| "learning_rate": 0.0009907978858284775, | |
| "loss": 3.9829229736328124, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 0.066, | |
| "grad_norm": 0.22457344830036163, | |
| "learning_rate": 0.0009901863866255652, | |
| "loss": 3.9637200927734373, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 0.068, | |
| "grad_norm": 0.20820939540863037, | |
| "learning_rate": 0.0009895554190689191, | |
| "loss": 3.930269470214844, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 0.1961025595664978, | |
| "learning_rate": 0.0009889050082181896, | |
| "loss": 3.91483154296875, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.072, | |
| "grad_norm": 0.23347830772399902, | |
| "learning_rate": 0.0009882351799052416, | |
| "loss": 3.8973043823242186, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 0.074, | |
| "grad_norm": 0.21384640038013458, | |
| "learning_rate": 0.0009875459607331285, | |
| "loss": 3.9072760009765624, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 0.076, | |
| "grad_norm": 0.21380040049552917, | |
| "learning_rate": 0.000986837378075035, | |
| "loss": 3.8974929809570313, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 0.078, | |
| "grad_norm": 0.2199064940214157, | |
| "learning_rate": 0.0009861094600731911, | |
| "loss": 3.884527587890625, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 0.2245541661977768, | |
| "learning_rate": 0.000985362235637753, | |
| "loss": 3.863822021484375, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.3280885939521158, | |
| "eval_loss": 3.8499362468719482, | |
| "eval_runtime": 6.3172, | |
| "eval_samples_per_second": 307.255, | |
| "eval_steps_per_second": 19.312, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.082, | |
| "grad_norm": 0.20376908779144287, | |
| "learning_rate": 0.000984595734445656, | |
| "loss": 3.8685012817382813, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 0.084, | |
| "grad_norm": 0.18422065675258636, | |
| "learning_rate": 0.0009838099869394353, | |
| "loss": 3.853851318359375, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 0.086, | |
| "grad_norm": 0.19115814566612244, | |
| "learning_rate": 0.0009830050243260172, | |
| "loss": 3.8678164672851563, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 0.088, | |
| "grad_norm": 0.20425236225128174, | |
| "learning_rate": 0.0009821808785754791, | |
| "loss": 3.8287237548828124, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 0.1944635510444641, | |
| "learning_rate": 0.0009813375824197811, | |
| "loss": 3.8451242065429687, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.092, | |
| "grad_norm": 0.17947296798229218, | |
| "learning_rate": 0.0009804751693514645, | |
| "loss": 3.845400695800781, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 0.094, | |
| "grad_norm": 0.20076608657836914, | |
| "learning_rate": 0.0009795936736223222, | |
| "loss": 3.8257626342773436, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 0.096, | |
| "grad_norm": 0.18554596602916718, | |
| "learning_rate": 0.0009786931302420386, | |
| "loss": 3.808670959472656, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 0.098, | |
| "grad_norm": 0.23913995921611786, | |
| "learning_rate": 0.000977773574976799, | |
| "loss": 3.810527038574219, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 0.18414103984832764, | |
| "learning_rate": 0.0009768350443478686, | |
| "loss": 3.7990948486328127, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_accuracy": 0.33500293894949945, | |
| "eval_loss": 3.7702300548553467, | |
| "eval_runtime": 6.4137, | |
| "eval_samples_per_second": 302.634, | |
| "eval_steps_per_second": 19.022, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.102, | |
| "grad_norm": 0.20944379270076752, | |
| "learning_rate": 0.0009758775756301432, | |
| "loss": 3.798116455078125, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 0.104, | |
| "grad_norm": 0.18056762218475342, | |
| "learning_rate": 0.0009749012068506673, | |
| "loss": 3.7997445678710937, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 0.106, | |
| "grad_norm": 0.20922255516052246, | |
| "learning_rate": 0.000973905976787125, | |
| "loss": 3.7765731811523438, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 0.108, | |
| "grad_norm": 0.19328580796718597, | |
| "learning_rate": 0.0009728919249662993, | |
| "loss": 3.729337463378906, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 0.2031419277191162, | |
| "learning_rate": 0.0009718590916625022, | |
| "loss": 3.744057922363281, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.112, | |
| "grad_norm": 0.19743800163269043, | |
| "learning_rate": 0.0009708075178959756, | |
| "loss": 3.7054071044921875, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 0.114, | |
| "grad_norm": 0.1741236299276352, | |
| "learning_rate": 0.0009697372454312618, | |
| "loss": 3.699843444824219, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 0.116, | |
| "grad_norm": 0.1799750030040741, | |
| "learning_rate": 0.0009686483167755448, | |
| "loss": 3.7227572631835937, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 0.118, | |
| "grad_norm": 0.2036087065935135, | |
| "learning_rate": 0.000967540775176962, | |
| "loss": 3.6742709350585936, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 0.21463191509246826, | |
| "learning_rate": 0.0009664146646228871, | |
| "loss": 3.6995980834960935, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.34141821705074654, | |
| "eval_loss": 3.711214303970337, | |
| "eval_runtime": 6.3349, | |
| "eval_samples_per_second": 306.4, | |
| "eval_steps_per_second": 19.259, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.122, | |
| "grad_norm": 0.18666808307170868, | |
| "learning_rate": 0.000965270029838182, | |
| "loss": 3.6821221923828125, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 0.124, | |
| "grad_norm": 0.15751489996910095, | |
| "learning_rate": 0.0009641069162834215, | |
| "loss": 3.671753234863281, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 0.126, | |
| "grad_norm": 0.22766178846359253, | |
| "learning_rate": 0.0009629253701530875, | |
| "loss": 3.6878753662109376, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 0.128, | |
| "grad_norm": 0.1677054762840271, | |
| "learning_rate": 0.0009617254383737343, | |
| "loss": 3.6619857788085937, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 0.17945168912410736, | |
| "learning_rate": 0.0009605071686021245, | |
| "loss": 3.6484750366210936, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.132, | |
| "grad_norm": 0.17799174785614014, | |
| "learning_rate": 0.0009592706092233365, | |
| "loss": 3.6635867309570314, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 0.134, | |
| "grad_norm": 0.5586189031600952, | |
| "learning_rate": 0.0009580158093488436, | |
| "loss": 3.6489688110351564, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 0.136, | |
| "grad_norm": 0.2055712342262268, | |
| "learning_rate": 0.000956742818814562, | |
| "loss": 3.6523666381835938, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 0.138, | |
| "grad_norm": 0.1812128871679306, | |
| "learning_rate": 0.0009554516881788724, | |
| "loss": 3.6479287719726563, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.1664743423461914, | |
| "learning_rate": 0.0009541424687206124, | |
| "loss": 3.6319317626953125, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_accuracy": 0.3448148965923309, | |
| "eval_loss": 3.6666343212127686, | |
| "eval_runtime": 6.38, | |
| "eval_samples_per_second": 304.231, | |
| "eval_steps_per_second": 19.122, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.142, | |
| "grad_norm": 0.15217284858226776, | |
| "learning_rate": 0.0009528152124370387, | |
| "loss": 3.6308517456054688, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 0.144, | |
| "grad_norm": 0.16507816314697266, | |
| "learning_rate": 0.0009514699720417631, | |
| "loss": 3.6217156982421876, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 0.146, | |
| "grad_norm": 0.2040642648935318, | |
| "learning_rate": 0.0009501068009626583, | |
| "loss": 3.632703857421875, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 0.148, | |
| "grad_norm": 0.18437133729457855, | |
| "learning_rate": 0.0009487257533397361, | |
| "loss": 3.6346307373046876, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 0.18760915100574493, | |
| "learning_rate": 0.0009473268840229971, | |
| "loss": 3.5973056030273436, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.152, | |
| "grad_norm": 0.17388536036014557, | |
| "learning_rate": 0.0009459102485702528, | |
| "loss": 3.611794738769531, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 0.154, | |
| "grad_norm": 0.18797264993190765, | |
| "learning_rate": 0.0009444759032449177, | |
| "loss": 3.609403381347656, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 0.156, | |
| "grad_norm": 0.18140241503715515, | |
| "learning_rate": 0.0009430239050137766, | |
| "loss": 3.6027340698242187, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 0.158, | |
| "grad_norm": 0.17433640360832214, | |
| "learning_rate": 0.0009415543115447203, | |
| "loss": 3.6214892578125, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 0.16605013608932495, | |
| "learning_rate": 0.0009400671812044565, | |
| "loss": 3.6061587524414063, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.34762277801806923, | |
| "eval_loss": 3.640489339828491, | |
| "eval_runtime": 8.0453, | |
| "eval_samples_per_second": 241.259, | |
| "eval_steps_per_second": 15.164, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.162, | |
| "grad_norm": 0.16548939049243927, | |
| "learning_rate": 0.0009385625730561914, | |
| "loss": 3.588617248535156, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 0.164, | |
| "grad_norm": 0.16542939841747284, | |
| "learning_rate": 0.0009370405468572831, | |
| "loss": 3.590567626953125, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 0.166, | |
| "grad_norm": 0.18206581473350525, | |
| "learning_rate": 0.0009355011630568697, | |
| "loss": 3.636882629394531, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 0.168, | |
| "grad_norm": 0.2654706835746765, | |
| "learning_rate": 0.0009339444827934676, | |
| "loss": 3.6797540283203123, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 0.16825009882450104, | |
| "learning_rate": 0.0009323705678925427, | |
| "loss": 3.686376953125, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 0.172, | |
| "grad_norm": 0.18937945365905762, | |
| "learning_rate": 0.000930779480864057, | |
| "loss": 3.6942425537109376, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 0.174, | |
| "grad_norm": 0.19819994270801544, | |
| "learning_rate": 0.0009291712848999833, | |
| "loss": 3.6582196044921873, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 0.176, | |
| "grad_norm": 0.1557057648897171, | |
| "learning_rate": 0.0009275460438717975, | |
| "loss": 3.6659271240234377, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 0.178, | |
| "grad_norm": 0.16359280049800873, | |
| "learning_rate": 0.0009259038223279413, | |
| "loss": 3.66092529296875, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.17897452414035797, | |
| "learning_rate": 0.0009242446854912575, | |
| "loss": 3.6642529296875, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_accuracy": 0.3497692697794326, | |
| "eval_loss": 3.617546319961548, | |
| "eval_runtime": 6.279, | |
| "eval_samples_per_second": 309.124, | |
| "eval_steps_per_second": 19.43, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.182, | |
| "grad_norm": 0.20515520870685577, | |
| "learning_rate": 0.0009225686992564015, | |
| "loss": 3.6445053100585936, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 0.184, | |
| "grad_norm": 0.16788582503795624, | |
| "learning_rate": 0.0009208759301872229, | |
| "loss": 3.657896728515625, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 0.186, | |
| "grad_norm": 0.1988508403301239, | |
| "learning_rate": 0.0009191664455141217, | |
| "loss": 3.616723937988281, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 0.188, | |
| "grad_norm": 0.1822570413351059, | |
| "learning_rate": 0.0009174403131313792, | |
| "loss": 3.6103390502929686, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 0.15679553151130676, | |
| "learning_rate": 0.0009156976015944607, | |
| "loss": 3.624302978515625, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 0.192, | |
| "grad_norm": 0.15683937072753906, | |
| "learning_rate": 0.0009139383801172929, | |
| "loss": 3.6558917236328123, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 0.194, | |
| "grad_norm": 0.1553466022014618, | |
| "learning_rate": 0.0009121627185695152, | |
| "loss": 3.6198284912109373, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 0.196, | |
| "grad_norm": 0.14881721138954163, | |
| "learning_rate": 0.0009103706874737043, | |
| "loss": 3.60408203125, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 0.198, | |
| "grad_norm": 0.1628589779138565, | |
| "learning_rate": 0.0009085623580025737, | |
| "loss": 3.6047940063476562, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.15589991211891174, | |
| "learning_rate": 0.0009067378019761472, | |
| "loss": 3.599223327636719, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3534593401629882, | |
| "eval_loss": 3.579674005508423, | |
| "eval_runtime": 6.3176, | |
| "eval_samples_per_second": 307.239, | |
| "eval_steps_per_second": 19.311, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.202, | |
| "grad_norm": 0.18158847093582153, | |
| "learning_rate": 0.0009048970918589055, | |
| "loss": 3.607147521972656, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 0.204, | |
| "grad_norm": 0.15705344080924988, | |
| "learning_rate": 0.0009030403007569094, | |
| "loss": 3.5972610473632813, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 0.206, | |
| "grad_norm": 0.18561947345733643, | |
| "learning_rate": 0.0009011675024148955, | |
| "loss": 3.5994192504882814, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 0.208, | |
| "grad_norm": 0.17375363409519196, | |
| "learning_rate": 0.0008992787712133476, | |
| "loss": 3.592384948730469, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 0.14704184234142303, | |
| "learning_rate": 0.0008973741821655428, | |
| "loss": 3.5763116455078126, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 0.212, | |
| "grad_norm": 0.1663106381893158, | |
| "learning_rate": 0.0008954538109145713, | |
| "loss": 3.59366455078125, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 0.214, | |
| "grad_norm": 0.15191592276096344, | |
| "learning_rate": 0.0008935177337303337, | |
| "loss": 3.5883197021484374, | |
| "step": 10700 | |
| }, | |
| { | |
| "epoch": 0.216, | |
| "grad_norm": 0.15566915273666382, | |
| "learning_rate": 0.0008915660275065107, | |
| "loss": 3.5549887084960936, | |
| "step": 10800 | |
| }, | |
| { | |
| "epoch": 0.218, | |
| "grad_norm": 0.17490389943122864, | |
| "learning_rate": 0.0008895987697575093, | |
| "loss": 3.558960266113281, | |
| "step": 10900 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 0.17277678847312927, | |
| "learning_rate": 0.0008876160386153846, | |
| "loss": 3.5671484375, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_accuracy": 0.3558709927196726, | |
| "eval_loss": 3.554290771484375, | |
| "eval_runtime": 6.8937, | |
| "eval_samples_per_second": 281.559, | |
| "eval_steps_per_second": 17.697, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.222, | |
| "grad_norm": 0.15808428823947906, | |
| "learning_rate": 0.0008856179128267363, | |
| "loss": 3.578575439453125, | |
| "step": 11100 | |
| }, | |
| { | |
| "epoch": 0.224, | |
| "grad_norm": 0.14474111795425415, | |
| "learning_rate": 0.0008836044717495819, | |
| "loss": 3.5772747802734375, | |
| "step": 11200 | |
| }, | |
| { | |
| "epoch": 0.226, | |
| "grad_norm": 0.1413886845111847, | |
| "learning_rate": 0.0008815757953502035, | |
| "loss": 3.556199645996094, | |
| "step": 11300 | |
| }, | |
| { | |
| "epoch": 0.228, | |
| "grad_norm": 0.1502675712108612, | |
| "learning_rate": 0.0008795319641999735, | |
| "loss": 3.570118103027344, | |
| "step": 11400 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 0.1517445147037506, | |
| "learning_rate": 0.0008774730594721534, | |
| "loss": 3.5563198852539064, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 0.232, | |
| "grad_norm": 0.16406166553497314, | |
| "learning_rate": 0.0008753991629386706, | |
| "loss": 3.5616604614257814, | |
| "step": 11600 | |
| }, | |
| { | |
| "epoch": 0.234, | |
| "grad_norm": 0.14764074981212616, | |
| "learning_rate": 0.0008733103569668701, | |
| "loss": 3.5495458984375, | |
| "step": 11700 | |
| }, | |
| { | |
| "epoch": 0.236, | |
| "grad_norm": 0.17058512568473816, | |
| "learning_rate": 0.0008712067245162439, | |
| "loss": 3.5244882202148435, | |
| "step": 11800 | |
| }, | |
| { | |
| "epoch": 0.238, | |
| "grad_norm": 0.16127121448516846, | |
| "learning_rate": 0.0008690883491351356, | |
| "loss": 3.5396826171875, | |
| "step": 11900 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 0.14211590588092804, | |
| "learning_rate": 0.0008669553149574224, | |
| "loss": 3.522979431152344, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3578128166428224, | |
| "eval_loss": 3.5307533740997314, | |
| "eval_runtime": 6.6725, | |
| "eval_samples_per_second": 290.897, | |
| "eval_steps_per_second": 18.284, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.242, | |
| "grad_norm": 0.1405150443315506, | |
| "learning_rate": 0.0008648077066991736, | |
| "loss": 3.527177734375, | |
| "step": 12100 | |
| }, | |
| { | |
| "epoch": 0.244, | |
| "grad_norm": 0.16479545831680298, | |
| "learning_rate": 0.0008626456096552858, | |
| "loss": 3.5393338012695312, | |
| "step": 12200 | |
| }, | |
| { | |
| "epoch": 0.246, | |
| "grad_norm": 0.1583888679742813, | |
| "learning_rate": 0.0008604691096960961, | |
| "loss": 3.5796047973632814, | |
| "step": 12300 | |
| }, | |
| { | |
| "epoch": 0.248, | |
| "grad_norm": 0.17304493486881256, | |
| "learning_rate": 0.0008582782932639702, | |
| "loss": 3.591195068359375, | |
| "step": 12400 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 0.15857121348381042, | |
| "learning_rate": 0.0008560732473698707, | |
| "loss": 3.584400634765625, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 0.252, | |
| "grad_norm": 0.14658208191394806, | |
| "learning_rate": 0.0008538540595899008, | |
| "loss": 3.589564208984375, | |
| "step": 12600 | |
| }, | |
| { | |
| "epoch": 0.254, | |
| "grad_norm": 0.143401101231575, | |
| "learning_rate": 0.0008516208180618252, | |
| "loss": 3.5824600219726563, | |
| "step": 12700 | |
| }, | |
| { | |
| "epoch": 0.256, | |
| "grad_norm": 0.16244202852249146, | |
| "learning_rate": 0.0008493736114815718, | |
| "loss": 3.574875793457031, | |
| "step": 12800 | |
| }, | |
| { | |
| "epoch": 0.258, | |
| "grad_norm": 0.1520756632089615, | |
| "learning_rate": 0.0008471125290997063, | |
| "loss": 3.568282165527344, | |
| "step": 12900 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 0.1582706868648529, | |
| "learning_rate": 0.00084483766071789, | |
| "loss": 3.5930340576171873, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_accuracy": 0.35929186944409996, | |
| "eval_loss": 3.5190227031707764, | |
| "eval_runtime": 6.3791, | |
| "eval_samples_per_second": 304.275, | |
| "eval_steps_per_second": 19.125, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.262, | |
| "grad_norm": 0.17478469014167786, | |
| "learning_rate": 0.0008425490966853113, | |
| "loss": 3.5665899658203126, | |
| "step": 13100 | |
| }, | |
| { | |
| "epoch": 0.264, | |
| "grad_norm": 0.15228988230228424, | |
| "learning_rate": 0.0008402469278950989, | |
| "loss": 3.5444100952148436, | |
| "step": 13200 | |
| }, | |
| { | |
| "epoch": 0.266, | |
| "grad_norm": 0.15244163572788239, | |
| "learning_rate": 0.0008379312457807102, | |
| "loss": 3.5695867919921875, | |
| "step": 13300 | |
| }, | |
| { | |
| "epoch": 0.268, | |
| "grad_norm": 0.15935847163200378, | |
| "learning_rate": 0.0008356021423123017, | |
| "loss": 3.5604925537109375, | |
| "step": 13400 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 0.15347428619861603, | |
| "learning_rate": 0.000833259709993075, | |
| "loss": 3.5551889038085935, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 0.272, | |
| "grad_norm": 0.21459928154945374, | |
| "learning_rate": 0.0008309040418556038, | |
| "loss": 3.550736389160156, | |
| "step": 13600 | |
| }, | |
| { | |
| "epoch": 0.274, | |
| "grad_norm": 0.17246893048286438, | |
| "learning_rate": 0.0008285352314581378, | |
| "loss": 3.5650180053710936, | |
| "step": 13700 | |
| }, | |
| { | |
| "epoch": 0.276, | |
| "grad_norm": 0.16454122960567474, | |
| "learning_rate": 0.0008261533728808883, | |
| "loss": 3.549154968261719, | |
| "step": 13800 | |
| }, | |
| { | |
| "epoch": 0.278, | |
| "grad_norm": 0.14885519444942474, | |
| "learning_rate": 0.000823758560722291, | |
| "loss": 3.5430950927734375, | |
| "step": 13900 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.1521039605140686, | |
| "learning_rate": 0.0008213508900952489, | |
| "loss": 3.547527160644531, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_accuracy": 0.36159261824608735, | |
| "eval_loss": 3.4961202144622803, | |
| "eval_runtime": 6.3742, | |
| "eval_samples_per_second": 304.507, | |
| "eval_steps_per_second": 19.14, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.282, | |
| "grad_norm": 0.1499979943037033, | |
| "learning_rate": 0.0008189304566233547, | |
| "loss": 3.5474667358398437, | |
| "step": 14100 | |
| }, | |
| { | |
| "epoch": 0.284, | |
| "grad_norm": 0.1552744209766388, | |
| "learning_rate": 0.0008164973564370934, | |
| "loss": 3.5074334716796876, | |
| "step": 14200 | |
| }, | |
| { | |
| "epoch": 0.286, | |
| "grad_norm": 0.13462179899215698, | |
| "learning_rate": 0.0008140516861700238, | |
| "loss": 3.5272781372070314, | |
| "step": 14300 | |
| }, | |
| { | |
| "epoch": 0.288, | |
| "grad_norm": 0.1381780356168747, | |
| "learning_rate": 0.000811593542954941, | |
| "loss": 3.5094314575195313, | |
| "step": 14400 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 0.13239678740501404, | |
| "learning_rate": 0.000809123024420019, | |
| "loss": 3.5180905151367186, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 0.292, | |
| "grad_norm": 0.15930698812007904, | |
| "learning_rate": 0.0008066402286849317, | |
| "loss": 3.5262945556640624, | |
| "step": 14600 | |
| }, | |
| { | |
| "epoch": 0.294, | |
| "grad_norm": 0.1524200737476349, | |
| "learning_rate": 0.0008041452543569583, | |
| "loss": 3.541943359375, | |
| "step": 14700 | |
| }, | |
| { | |
| "epoch": 0.296, | |
| "grad_norm": 0.14040064811706543, | |
| "learning_rate": 0.0008016382005270651, | |
| "loss": 3.543092041015625, | |
| "step": 14800 | |
| }, | |
| { | |
| "epoch": 0.298, | |
| "grad_norm": 0.14799822866916656, | |
| "learning_rate": 0.0007991191667659708, | |
| "loss": 3.5315762329101563, | |
| "step": 14900 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 0.1449238359928131, | |
| "learning_rate": 0.0007965882531201913, | |
| "loss": 3.522008361816406, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "eval_accuracy": 0.36332372503531274, | |
| "eval_loss": 3.4778010845184326, | |
| "eval_runtime": 6.6567, | |
| "eval_samples_per_second": 291.588, | |
| "eval_steps_per_second": 18.328, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.302, | |
| "grad_norm": 0.13593044877052307, | |
| "learning_rate": 0.0007940455601080678, | |
| "loss": 3.5114361572265627, | |
| "step": 15100 | |
| }, | |
| { | |
| "epoch": 0.304, | |
| "grad_norm": 0.1423630267381668, | |
| "learning_rate": 0.0007914911887157724, | |
| "loss": 3.5139959716796874, | |
| "step": 15200 | |
| }, | |
| { | |
| "epoch": 0.306, | |
| "grad_norm": 0.15380671620368958, | |
| "learning_rate": 0.0007889252403932986, | |
| "loss": 3.515833435058594, | |
| "step": 15300 | |
| }, | |
| { | |
| "epoch": 0.308, | |
| "grad_norm": 0.13759265840053558, | |
| "learning_rate": 0.0007863478170504326, | |
| "loss": 3.528351135253906, | |
| "step": 15400 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 0.13887037336826324, | |
| "learning_rate": 0.0007837590210527042, | |
| "loss": 3.5276870727539062, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 0.312, | |
| "grad_norm": 0.15678516030311584, | |
| "learning_rate": 0.0007811589552173225, | |
| "loss": 3.515467224121094, | |
| "step": 15600 | |
| }, | |
| { | |
| "epoch": 0.314, | |
| "grad_norm": 0.2133788764476776, | |
| "learning_rate": 0.0007785477228090924, | |
| "loss": 3.5256777954101564, | |
| "step": 15700 | |
| }, | |
| { | |
| "epoch": 0.316, | |
| "grad_norm": 0.17379774153232574, | |
| "learning_rate": 0.0007759254275363124, | |
| "loss": 3.5354928588867187, | |
| "step": 15800 | |
| }, | |
| { | |
| "epoch": 0.318, | |
| "grad_norm": 0.15530315041542053, | |
| "learning_rate": 0.0007732921735466564, | |
| "loss": 3.5182159423828123, | |
| "step": 15900 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 0.14711181819438934, | |
| "learning_rate": 0.0007706480654230373, | |
| "loss": 3.5050119018554686, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "eval_accuracy": 0.3644458693896563, | |
| "eval_loss": 3.4653918743133545, | |
| "eval_runtime": 6.2866, | |
| "eval_samples_per_second": 308.75, | |
| "eval_steps_per_second": 19.406, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.322, | |
| "grad_norm": 0.16945767402648926, | |
| "learning_rate": 0.0007679932081794532, | |
| "loss": 3.5018475341796873, | |
| "step": 16100 | |
| }, | |
| { | |
| "epoch": 0.324, | |
| "grad_norm": 0.14158344268798828, | |
| "learning_rate": 0.0007653277072568166, | |
| "loss": 3.52821044921875, | |
| "step": 16200 | |
| }, | |
| { | |
| "epoch": 0.326, | |
| "grad_norm": 0.15132898092269897, | |
| "learning_rate": 0.0007626516685187669, | |
| "loss": 3.5037826538085937, | |
| "step": 16300 | |
| }, | |
| { | |
| "epoch": 0.328, | |
| "grad_norm": 0.1444397270679474, | |
| "learning_rate": 0.0007599651982474656, | |
| "loss": 3.5029248046875, | |
| "step": 16400 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 0.15066049993038177, | |
| "learning_rate": 0.0007572684031393755, | |
| "loss": 3.5109619140625, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 0.332, | |
| "grad_norm": 0.15420712530612946, | |
| "learning_rate": 0.0007545613903010231, | |
| "loss": 3.498372802734375, | |
| "step": 16600 | |
| }, | |
| { | |
| "epoch": 0.334, | |
| "grad_norm": 0.15669448673725128, | |
| "learning_rate": 0.000751844267244744, | |
| "loss": 3.504073181152344, | |
| "step": 16700 | |
| }, | |
| { | |
| "epoch": 0.336, | |
| "grad_norm": 0.14457182586193085, | |
| "learning_rate": 0.000749117141884414, | |
| "loss": 3.5009725952148436, | |
| "step": 16800 | |
| }, | |
| { | |
| "epoch": 0.338, | |
| "grad_norm": 0.1625896543264389, | |
| "learning_rate": 0.0007463801225311631, | |
| "loss": 3.5116473388671876, | |
| "step": 16900 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 0.1407516449689865, | |
| "learning_rate": 0.0007436333178890721, | |
| "loss": 3.4775790405273437, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "eval_accuracy": 0.3666105090381519, | |
| "eval_loss": 3.4458343982696533, | |
| "eval_runtime": 6.6119, | |
| "eval_samples_per_second": 293.56, | |
| "eval_steps_per_second": 18.451, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.342, | |
| "grad_norm": 0.15488570928573608, | |
| "learning_rate": 0.0007408768370508576, | |
| "loss": 3.5057693481445313, | |
| "step": 17100 | |
| }, | |
| { | |
| "epoch": 0.344, | |
| "grad_norm": 0.13969258964061737, | |
| "learning_rate": 0.0007381107894935382, | |
| "loss": 3.4655438232421876, | |
| "step": 17200 | |
| }, | |
| { | |
| "epoch": 0.346, | |
| "grad_norm": 0.15081284940242767, | |
| "learning_rate": 0.0007353352850740858, | |
| "loss": 3.490411376953125, | |
| "step": 17300 | |
| }, | |
| { | |
| "epoch": 0.348, | |
| "grad_norm": 0.1477256566286087, | |
| "learning_rate": 0.0007325504340250635, | |
| "loss": 3.48463134765625, | |
| "step": 17400 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 0.15759490430355072, | |
| "learning_rate": 0.0007297563469502479, | |
| "loss": 3.5031024169921876, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 0.352, | |
| "grad_norm": 0.14924432337284088, | |
| "learning_rate": 0.0007269531348202344, | |
| "loss": 3.5010330200195314, | |
| "step": 17600 | |
| }, | |
| { | |
| "epoch": 0.354, | |
| "grad_norm": 0.21179653704166412, | |
| "learning_rate": 0.0007241409089680324, | |
| "loss": 3.484757385253906, | |
| "step": 17700 | |
| }, | |
| { | |
| "epoch": 0.356, | |
| "grad_norm": 0.1406019777059555, | |
| "learning_rate": 0.0007213197810846416, | |
| "loss": 3.4941912841796876, | |
| "step": 17800 | |
| }, | |
| { | |
| "epoch": 0.358, | |
| "grad_norm": 0.18723711371421814, | |
| "learning_rate": 0.0007184898632146171, | |
| "loss": 3.4815142822265623, | |
| "step": 17900 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 0.15316542983055115, | |
| "learning_rate": 0.0007156512677516189, | |
| "loss": 3.4828509521484374, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_accuracy": 0.36743422147076527, | |
| "eval_loss": 3.434631824493408, | |
| "eval_runtime": 6.7452, | |
| "eval_samples_per_second": 287.759, | |
| "eval_steps_per_second": 18.087, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.362, | |
| "grad_norm": 0.20023606717586517, | |
| "learning_rate": 0.0007128041074339486, | |
| "loss": 3.4777850341796874, | |
| "step": 18100 | |
| }, | |
| { | |
| "epoch": 0.364, | |
| "grad_norm": 0.4378589689731598, | |
| "learning_rate": 0.0007099484953400711, | |
| "loss": 3.483775634765625, | |
| "step": 18200 | |
| }, | |
| { | |
| "epoch": 0.366, | |
| "grad_norm": 0.15016524493694305, | |
| "learning_rate": 0.0007070845448841241, | |
| "loss": 3.471934509277344, | |
| "step": 18300 | |
| }, | |
| { | |
| "epoch": 0.368, | |
| "grad_norm": 0.17178508639335632, | |
| "learning_rate": 0.0007042123698114138, | |
| "loss": 3.465678405761719, | |
| "step": 18400 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 0.17568770051002502, | |
| "learning_rate": 0.0007013320841938966, | |
| "loss": 3.484932556152344, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 0.372, | |
| "grad_norm": 0.12633204460144043, | |
| "learning_rate": 0.0006984438024256499, | |
| "loss": 3.4721084594726563, | |
| "step": 18600 | |
| }, | |
| { | |
| "epoch": 0.374, | |
| "grad_norm": 0.13481932878494263, | |
| "learning_rate": 0.0006955476392183275, | |
| "loss": 3.441580505371094, | |
| "step": 18700 | |
| }, | |
| { | |
| "epoch": 0.376, | |
| "grad_norm": 0.142787367105484, | |
| "learning_rate": 0.0006926437095966044, | |
| "loss": 3.472591552734375, | |
| "step": 18800 | |
| }, | |
| { | |
| "epoch": 0.378, | |
| "grad_norm": 0.15913543105125427, | |
| "learning_rate": 0.000689732128893608, | |
| "loss": 3.4664480590820315, | |
| "step": 18900 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 0.5166953802108765, | |
| "learning_rate": 0.0006868130127463385, | |
| "loss": 3.44828125, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_accuracy": 0.36941738224793846, | |
| "eval_loss": 3.4189138412475586, | |
| "eval_runtime": 6.3949, | |
| "eval_samples_per_second": 303.523, | |
| "eval_steps_per_second": 19.078, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.382, | |
| "grad_norm": 0.138035848736763, | |
| "learning_rate": 0.0006838864770910745, | |
| "loss": 3.4636468505859375, | |
| "step": 19100 | |
| }, | |
| { | |
| "epoch": 0.384, | |
| "grad_norm": 0.2230982631444931, | |
| "learning_rate": 0.0006809526381587703, | |
| "loss": 3.4643569946289063, | |
| "step": 19200 | |
| }, | |
| { | |
| "epoch": 0.386, | |
| "grad_norm": 0.12826211750507355, | |
| "learning_rate": 0.0006780116124704383, | |
| "loss": 3.45958984375, | |
| "step": 19300 | |
| }, | |
| { | |
| "epoch": 0.388, | |
| "grad_norm": 0.1421106457710266, | |
| "learning_rate": 0.0006750635168325223, | |
| "loss": 3.4553872680664064, | |
| "step": 19400 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 0.14258891344070435, | |
| "learning_rate": 0.000672108468332257, | |
| "loss": 3.4486114501953127, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 0.392, | |
| "grad_norm": 0.24561843276023865, | |
| "learning_rate": 0.0006691465843330194, | |
| "loss": 3.4674017333984377, | |
| "step": 19600 | |
| }, | |
| { | |
| "epoch": 0.394, | |
| "grad_norm": 0.13396546244621277, | |
| "learning_rate": 0.0006661779824696658, | |
| "loss": 3.4596041870117187, | |
| "step": 19700 | |
| }, | |
| { | |
| "epoch": 0.396, | |
| "grad_norm": 0.145228311419487, | |
| "learning_rate": 0.000663202780643862, | |
| "loss": 3.450461120605469, | |
| "step": 19800 | |
| }, | |
| { | |
| "epoch": 0.398, | |
| "grad_norm": 0.1595899611711502, | |
| "learning_rate": 0.0006602210970193982, | |
| "loss": 3.4370431518554687, | |
| "step": 19900 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 0.1425502896308899, | |
| "learning_rate": 0.0006572330500174975, | |
| "loss": 3.441788330078125, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "eval_accuracy": 0.3703691381064293, | |
| "eval_loss": 3.4063475131988525, | |
| "eval_runtime": 6.6969, | |
| "eval_samples_per_second": 289.838, | |
| "eval_steps_per_second": 18.218, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.402, | |
| "grad_norm": 0.1547059416770935, | |
| "learning_rate": 0.0006542387583121131, | |
| "loss": 3.441893310546875, | |
| "step": 20100 | |
| }, | |
| { | |
| "epoch": 0.404, | |
| "grad_norm": 0.15452757477760315, | |
| "learning_rate": 0.000651238340825213, | |
| "loss": 3.434819641113281, | |
| "step": 20200 | |
| }, | |
| { | |
| "epoch": 0.406, | |
| "grad_norm": 0.13765129446983337, | |
| "learning_rate": 0.0006482319167220591, | |
| "loss": 3.4564175415039062, | |
| "step": 20300 | |
| }, | |
| { | |
| "epoch": 0.408, | |
| "grad_norm": 0.15758726000785828, | |
| "learning_rate": 0.0006452196054064732, | |
| "loss": 3.4555868530273437, | |
| "step": 20400 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 0.3239542543888092, | |
| "learning_rate": 0.0006422015265160946, | |
| "loss": 3.4481591796875, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 0.412, | |
| "grad_norm": 0.15911568701267242, | |
| "learning_rate": 0.0006391777999176294, | |
| "loss": 3.44850341796875, | |
| "step": 20600 | |
| }, | |
| { | |
| "epoch": 0.414, | |
| "grad_norm": 0.12856774032115936, | |
| "learning_rate": 0.000636148545702089, | |
| "loss": 3.438498840332031, | |
| "step": 20700 | |
| }, | |
| { | |
| "epoch": 0.416, | |
| "grad_norm": 0.17129512131214142, | |
| "learning_rate": 0.000633113884180021, | |
| "loss": 3.438189697265625, | |
| "step": 20800 | |
| }, | |
| { | |
| "epoch": 0.418, | |
| "grad_norm": 0.14792455732822418, | |
| "learning_rate": 0.0006300739358767311, | |
| "loss": 3.425160217285156, | |
| "step": 20900 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 0.13070790469646454, | |
| "learning_rate": 0.0006270288215274957, | |
| "loss": 3.4182763671875, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_accuracy": 0.3719621193102593, | |
| "eval_loss": 3.395620584487915, | |
| "eval_runtime": 6.7127, | |
| "eval_samples_per_second": 289.155, | |
| "eval_steps_per_second": 18.175, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.422, | |
| "grad_norm": 0.1333521008491516, | |
| "learning_rate": 0.0006239786620727669, | |
| "loss": 3.440789794921875, | |
| "step": 21100 | |
| }, | |
| { | |
| "epoch": 0.424, | |
| "grad_norm": 0.14673130214214325, | |
| "learning_rate": 0.0006209235786533696, | |
| "loss": 3.41100341796875, | |
| "step": 21200 | |
| }, | |
| { | |
| "epoch": 0.426, | |
| "grad_norm": 0.13843247294425964, | |
| "learning_rate": 0.00061786369260569, | |
| "loss": 3.4241146850585937, | |
| "step": 21300 | |
| }, | |
| { | |
| "epoch": 0.428, | |
| "grad_norm": 0.15212669968605042, | |
| "learning_rate": 0.0006147991254568566, | |
| "loss": 3.4158154296875, | |
| "step": 21400 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 0.1734033226966858, | |
| "learning_rate": 0.0006117299989199135, | |
| "loss": 3.4223089599609375, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 0.432, | |
| "grad_norm": 0.15912015736103058, | |
| "learning_rate": 0.0006086564348889863, | |
| "loss": 3.405228271484375, | |
| "step": 21600 | |
| }, | |
| { | |
| "epoch": 0.434, | |
| "grad_norm": 0.1569402515888214, | |
| "learning_rate": 0.0006055785554344417, | |
| "loss": 3.4033087158203124, | |
| "step": 21700 | |
| }, | |
| { | |
| "epoch": 0.436, | |
| "grad_norm": 0.15008965134620667, | |
| "learning_rate": 0.0006024964827980378, | |
| "loss": 3.4061663818359373, | |
| "step": 21800 | |
| }, | |
| { | |
| "epoch": 0.438, | |
| "grad_norm": 0.12902535498142242, | |
| "learning_rate": 0.0005994103393880712, | |
| "loss": 3.3769439697265624, | |
| "step": 21900 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 0.14630058407783508, | |
| "learning_rate": 0.0005963202477745134, | |
| "loss": 3.3858111572265623, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_accuracy": 0.372494457332805, | |
| "eval_loss": 3.3869516849517822, | |
| "eval_runtime": 6.5171, | |
| "eval_samples_per_second": 297.832, | |
| "eval_steps_per_second": 18.72, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.442, | |
| "grad_norm": 0.13086584210395813, | |
| "learning_rate": 0.0005932263306841439, | |
| "loss": 3.4057171630859373, | |
| "step": 22100 | |
| }, | |
| { | |
| "epoch": 0.444, | |
| "grad_norm": 0.14566738903522491, | |
| "learning_rate": 0.0005901287109956757, | |
| "loss": 3.374288330078125, | |
| "step": 22200 | |
| }, | |
| { | |
| "epoch": 0.446, | |
| "grad_norm": 0.13566701114177704, | |
| "learning_rate": 0.0005870275117348753, | |
| "loss": 3.3892340087890624, | |
| "step": 22300 | |
| }, | |
| { | |
| "epoch": 0.448, | |
| "grad_norm": 0.18162570893764496, | |
| "learning_rate": 0.0005839228560696758, | |
| "loss": 3.417158508300781, | |
| "step": 22400 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 0.1380554586648941, | |
| "learning_rate": 0.0005808148673052863, | |
| "loss": 3.385755615234375, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 0.452, | |
| "grad_norm": 0.13876518607139587, | |
| "learning_rate": 0.0005777036688792934, | |
| "loss": 3.3734304809570315, | |
| "step": 22600 | |
| }, | |
| { | |
| "epoch": 0.454, | |
| "grad_norm": 0.1451270580291748, | |
| "learning_rate": 0.0005745893843567593, | |
| "loss": 3.3767324829101564, | |
| "step": 22700 | |
| }, | |
| { | |
| "epoch": 0.456, | |
| "grad_norm": 0.14231646060943604, | |
| "learning_rate": 0.0005714721374253151, | |
| "loss": 3.3700411987304686, | |
| "step": 22800 | |
| }, | |
| { | |
| "epoch": 0.458, | |
| "grad_norm": 0.14160802960395813, | |
| "learning_rate": 0.0005683520518902468, | |
| "loss": 3.3719024658203125, | |
| "step": 22900 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 0.15433672070503235, | |
| "learning_rate": 0.0005652292516695795, | |
| "loss": 3.3654217529296875, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "eval_accuracy": 0.3727878481747762, | |
| "eval_loss": 3.3823931217193604, | |
| "eval_runtime": 6.745, | |
| "eval_samples_per_second": 287.769, | |
| "eval_steps_per_second": 18.087, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.462, | |
| "grad_norm": 0.13699641823768616, | |
| "learning_rate": 0.0005621038607891551, | |
| "loss": 3.3590658569335936, | |
| "step": 23100 | |
| }, | |
| { | |
| "epoch": 0.464, | |
| "grad_norm": 0.14364606142044067, | |
| "learning_rate": 0.0005589760033777068, | |
| "loss": 3.3595770263671874, | |
| "step": 23200 | |
| }, | |
| { | |
| "epoch": 0.466, | |
| "grad_norm": 0.15491677820682526, | |
| "learning_rate": 0.0005558458036619291, | |
| "loss": 3.3718606567382814, | |
| "step": 23300 | |
| }, | |
| { | |
| "epoch": 0.468, | |
| "grad_norm": 0.14689157903194427, | |
| "learning_rate": 0.0005527133859615443, | |
| "loss": 3.3682122802734376, | |
| "step": 23400 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 0.2537364363670349, | |
| "learning_rate": 0.0005495788746843641, | |
| "loss": 3.3676806640625, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 0.472, | |
| "grad_norm": 0.15198677778244019, | |
| "learning_rate": 0.0005464423943213493, | |
| "loss": 3.3796755981445314, | |
| "step": 23600 | |
| }, | |
| { | |
| "epoch": 0.474, | |
| "grad_norm": 0.14707693457603455, | |
| "learning_rate": 0.0005433040694416661, | |
| "loss": 3.3943267822265626, | |
| "step": 23700 | |
| }, | |
| { | |
| "epoch": 0.476, | |
| "grad_norm": 0.13588809967041016, | |
| "learning_rate": 0.0005401640246877371, | |
| "loss": 3.3692440795898437, | |
| "step": 23800 | |
| }, | |
| { | |
| "epoch": 0.478, | |
| "grad_norm": 0.1468556970357895, | |
| "learning_rate": 0.0005370223847702919, | |
| "loss": 3.35807861328125, | |
| "step": 23900 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 0.15797235071659088, | |
| "learning_rate": 0.0005338792744634145, | |
| "loss": 3.3942901611328127, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_accuracy": 0.3733514408918275, | |
| "eval_loss": 3.375581741333008, | |
| "eval_runtime": 7.2715, | |
| "eval_samples_per_second": 266.931, | |
| "eval_steps_per_second": 16.778, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.482, | |
| "grad_norm": 0.15001367032527924, | |
| "learning_rate": 0.0005307348185995866, | |
| "loss": 3.37049560546875, | |
| "step": 24100 | |
| }, | |
| { | |
| "epoch": 0.484, | |
| "grad_norm": 0.15163348615169525, | |
| "learning_rate": 0.0005275891420647307, | |
| "loss": 3.3899249267578124, | |
| "step": 24200 | |
| }, | |
| { | |
| "epoch": 0.486, | |
| "grad_norm": 0.13754494488239288, | |
| "learning_rate": 0.0005244423697932499, | |
| "loss": 3.397990417480469, | |
| "step": 24300 | |
| }, | |
| { | |
| "epoch": 0.488, | |
| "grad_norm": 0.13546991348266602, | |
| "learning_rate": 0.0005212946267630653, | |
| "loss": 3.4154788208007814, | |
| "step": 24400 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 0.17627890408039093, | |
| "learning_rate": 0.0005181460379906534, | |
| "loss": 3.4125030517578123, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 0.492, | |
| "grad_norm": 0.14234718680381775, | |
| "learning_rate": 0.0005149967285260802, | |
| "loss": 3.4010299682617187, | |
| "step": 24600 | |
| }, | |
| { | |
| "epoch": 0.494, | |
| "grad_norm": 0.1589398831129074, | |
| "learning_rate": 0.0005118468234480345, | |
| "loss": 3.4132962036132812, | |
| "step": 24700 | |
| }, | |
| { | |
| "epoch": 0.496, | |
| "grad_norm": 0.12560983002185822, | |
| "learning_rate": 0.0005086964478588614, | |
| "loss": 3.3963751220703124, | |
| "step": 24800 | |
| }, | |
| { | |
| "epoch": 0.498, | |
| "grad_norm": 0.14177259802818298, | |
| "learning_rate": 0.0005055457268795923, | |
| "loss": 3.3922305297851563, | |
| "step": 24900 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 0.13485221564769745, | |
| "learning_rate": 0.0005023947856449762, | |
| "loss": 3.3956787109375, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_accuracy": 0.3757247812423439, | |
| "eval_loss": 3.3547720909118652, | |
| "eval_runtime": 6.4257, | |
| "eval_samples_per_second": 302.069, | |
| "eval_steps_per_second": 18.986, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.502, | |
| "grad_norm": 0.1296602189540863, | |
| "learning_rate": 0.00049924374929851, | |
| "loss": 3.4078851318359376, | |
| "step": 25100 | |
| }, | |
| { | |
| "epoch": 0.504, | |
| "grad_norm": 0.17173421382904053, | |
| "learning_rate": 0.0004960927429874685, | |
| "loss": 3.378636779785156, | |
| "step": 25200 | |
| }, | |
| { | |
| "epoch": 0.506, | |
| "grad_norm": 0.14787626266479492, | |
| "learning_rate": 0.0004929418918579327, | |
| "loss": 3.3894952392578124, | |
| "step": 25300 | |
| }, | |
| { | |
| "epoch": 0.508, | |
| "grad_norm": 0.14193665981292725, | |
| "learning_rate": 0.0004897913210498212, | |
| "loss": 3.3784576416015626, | |
| "step": 25400 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 0.34911948442459106, | |
| "learning_rate": 0.0004866411556919189, | |
| "loss": 3.4079013061523438, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 0.512, | |
| "grad_norm": 0.14956624805927277, | |
| "learning_rate": 0.00048349152089690765, | |
| "loss": 3.395030517578125, | |
| "step": 25600 | |
| }, | |
| { | |
| "epoch": 0.514, | |
| "grad_norm": 0.1397118866443634, | |
| "learning_rate": 0.0004803425417563974, | |
| "loss": 3.3780328369140626, | |
| "step": 25700 | |
| }, | |
| { | |
| "epoch": 0.516, | |
| "grad_norm": 0.13487640023231506, | |
| "learning_rate": 0.00047719434333595825, | |
| "loss": 3.3928378295898436, | |
| "step": 25800 | |
| }, | |
| { | |
| "epoch": 0.518, | |
| "grad_norm": 0.14225220680236816, | |
| "learning_rate": 0.0004740470506701529, | |
| "loss": 3.381436767578125, | |
| "step": 25900 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 0.13680697977542877, | |
| "learning_rate": 0.0004709007887575706, | |
| "loss": 3.378739318847656, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "eval_accuracy": 0.3769195171452164, | |
| "eval_loss": 3.345224142074585, | |
| "eval_runtime": 6.5169, | |
| "eval_samples_per_second": 297.843, | |
| "eval_steps_per_second": 18.721, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.522, | |
| "grad_norm": 0.14482583105564117, | |
| "learning_rate": 0.0004677556825558636, | |
| "loss": 3.380513000488281, | |
| "step": 26100 | |
| }, | |
| { | |
| "epoch": 0.524, | |
| "grad_norm": 0.1740926057100296, | |
| "learning_rate": 0.0004646118569767831, | |
| "loss": 3.3777206420898436, | |
| "step": 26200 | |
| }, | |
| { | |
| "epoch": 0.526, | |
| "grad_norm": 0.13794536888599396, | |
| "learning_rate": 0.00046146943688121875, | |
| "loss": 3.3788577270507814, | |
| "step": 26300 | |
| }, | |
| { | |
| "epoch": 0.528, | |
| "grad_norm": 0.14884917438030243, | |
| "learning_rate": 0.00045832854707424044, | |
| "loss": 3.372579345703125, | |
| "step": 26400 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 0.14392748475074768, | |
| "learning_rate": 0.0004551893123001399, | |
| "loss": 3.369126281738281, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 0.532, | |
| "grad_norm": 0.1415095329284668, | |
| "learning_rate": 0.0004520518572374776, | |
| "loss": 3.4073892211914063, | |
| "step": 26600 | |
| }, | |
| { | |
| "epoch": 0.534, | |
| "grad_norm": 0.17241106927394867, | |
| "learning_rate": 0.00044891630649413096, | |
| "loss": 3.3727621459960937, | |
| "step": 26700 | |
| }, | |
| { | |
| "epoch": 0.536, | |
| "grad_norm": 0.1402324140071869, | |
| "learning_rate": 0.0004457827846023443, | |
| "loss": 3.3563668823242185, | |
| "step": 26800 | |
| }, | |
| { | |
| "epoch": 0.538, | |
| "grad_norm": 0.13993528485298157, | |
| "learning_rate": 0.0004426514160137837, | |
| "loss": 3.36125244140625, | |
| "step": 26900 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 0.14961598813533783, | |
| "learning_rate": 0.000439522325094595, | |
| "loss": 3.360479431152344, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "eval_accuracy": 0.37769785985999915, | |
| "eval_loss": 3.3393123149871826, | |
| "eval_runtime": 6.2827, | |
| "eval_samples_per_second": 308.945, | |
| "eval_steps_per_second": 19.418, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.542, | |
| "grad_norm": 0.12927019596099854, | |
| "learning_rate": 0.0004363956361204626, | |
| "loss": 3.3508065795898436, | |
| "step": 27100 | |
| }, | |
| { | |
| "epoch": 0.544, | |
| "grad_norm": 0.15256398916244507, | |
| "learning_rate": 0.0004332714732716751, | |
| "loss": 3.357308044433594, | |
| "step": 27200 | |
| }, | |
| { | |
| "epoch": 0.546, | |
| "grad_norm": 0.13779006898403168, | |
| "learning_rate": 0.0004301499606281931, | |
| "loss": 3.3775006103515626, | |
| "step": 27300 | |
| }, | |
| { | |
| "epoch": 0.548, | |
| "grad_norm": 0.1694018542766571, | |
| "learning_rate": 0.00042703122216472094, | |
| "loss": 3.3572964477539062, | |
| "step": 27400 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 0.1522066593170166, | |
| "learning_rate": 0.00042391538174578263, | |
| "loss": 3.3765057373046874, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 0.552, | |
| "grad_norm": 0.14023618400096893, | |
| "learning_rate": 0.0004208025631208036, | |
| "loss": 3.355110778808594, | |
| "step": 27600 | |
| }, | |
| { | |
| "epoch": 0.554, | |
| "grad_norm": 0.14079532027244568, | |
| "learning_rate": 0.0004176928899191941, | |
| "loss": 3.3566073608398437, | |
| "step": 27700 | |
| }, | |
| { | |
| "epoch": 0.556, | |
| "grad_norm": 0.14286920428276062, | |
| "learning_rate": 0.0004145864856454404, | |
| "loss": 3.3700027465820312, | |
| "step": 27800 | |
| }, | |
| { | |
| "epoch": 0.558, | |
| "grad_norm": 0.13522571325302124, | |
| "learning_rate": 0.00041148347367419983, | |
| "loss": 3.3883221435546873, | |
| "step": 27900 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 0.18117037415504456, | |
| "learning_rate": 0.00040838397724539947, | |
| "loss": 3.3707275390625, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "eval_accuracy": 0.3787030511639349, | |
| "eval_loss": 3.330246925354004, | |
| "eval_runtime": 6.6261, | |
| "eval_samples_per_second": 292.932, | |
| "eval_steps_per_second": 18.412, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.562, | |
| "grad_norm": 0.14532077312469482, | |
| "learning_rate": 0.0004052881194593424, | |
| "loss": 3.372833251953125, | |
| "step": 28100 | |
| }, | |
| { | |
| "epoch": 0.564, | |
| "grad_norm": 0.13675428926944733, | |
| "learning_rate": 0.0004021960232718194, | |
| "loss": 3.3700936889648436, | |
| "step": 28200 | |
| }, | |
| { | |
| "epoch": 0.566, | |
| "grad_norm": 0.15135474503040314, | |
| "learning_rate": 0.00039910781148922364, | |
| "loss": 3.3734249877929687, | |
| "step": 28300 | |
| }, | |
| { | |
| "epoch": 0.568, | |
| "grad_norm": 0.1487869918346405, | |
| "learning_rate": 0.00039602360676367474, | |
| "loss": 3.3548593139648437, | |
| "step": 28400 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 0.12845182418823242, | |
| "learning_rate": 0.00039294353158814783, | |
| "loss": 3.3592022705078124, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 0.572, | |
| "grad_norm": 0.15905176103115082, | |
| "learning_rate": 0.0003898677082916068, | |
| "loss": 3.375569152832031, | |
| "step": 28600 | |
| }, | |
| { | |
| "epoch": 0.574, | |
| "grad_norm": 0.1350318342447281, | |
| "learning_rate": 0.0003867962590341477, | |
| "loss": 3.363053894042969, | |
| "step": 28700 | |
| }, | |
| { | |
| "epoch": 0.576, | |
| "grad_norm": 0.15002867579460144, | |
| "learning_rate": 0.00038372930580214595, | |
| "loss": 3.3725015258789064, | |
| "step": 28800 | |
| }, | |
| { | |
| "epoch": 0.578, | |
| "grad_norm": 0.14523345232009888, | |
| "learning_rate": 0.000380666970403412, | |
| "loss": 3.375093688964844, | |
| "step": 28900 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 0.1521645337343216, | |
| "learning_rate": 0.000377609374462353, | |
| "loss": 3.350813903808594, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "eval_accuracy": 0.3793452847252259, | |
| "eval_loss": 3.322114944458008, | |
| "eval_runtime": 6.9103, | |
| "eval_samples_per_second": 280.884, | |
| "eval_steps_per_second": 17.655, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.582, | |
| "grad_norm": 0.14382348954677582, | |
| "learning_rate": 0.00037455663941514335, | |
| "loss": 3.3781756591796874, | |
| "step": 29100 | |
| }, | |
| { | |
| "epoch": 0.584, | |
| "grad_norm": 0.1457841694355011, | |
| "learning_rate": 0.00037150888650490057, | |
| "loss": 3.3773403930664063, | |
| "step": 29200 | |
| }, | |
| { | |
| "epoch": 0.586, | |
| "grad_norm": 0.13661234080791473, | |
| "learning_rate": 0.0003684662367768703, | |
| "loss": 3.3766348266601565, | |
| "step": 29300 | |
| }, | |
| { | |
| "epoch": 0.588, | |
| "grad_norm": 0.16734236478805542, | |
| "learning_rate": 0.00036542881107361983, | |
| "loss": 3.3571905517578124, | |
| "step": 29400 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 0.14157910645008087, | |
| "learning_rate": 0.00036239673003023745, | |
| "loss": 3.366629638671875, | |
| "step": 29500 | |
| }, | |
| { | |
| "epoch": 0.592, | |
| "grad_norm": 0.13826872408390045, | |
| "learning_rate": 0.0003593701140695413, | |
| "loss": 3.3789642333984373, | |
| "step": 29600 | |
| }, | |
| { | |
| "epoch": 0.594, | |
| "grad_norm": 0.1601548194885254, | |
| "learning_rate": 0.00035634908339729813, | |
| "loss": 3.37031005859375, | |
| "step": 29700 | |
| }, | |
| { | |
| "epoch": 0.596, | |
| "grad_norm": 0.13469478487968445, | |
| "learning_rate": 0.00035333375799744704, | |
| "loss": 3.3534210205078123, | |
| "step": 29800 | |
| }, | |
| { | |
| "epoch": 0.598, | |
| "grad_norm": 0.12652449309825897, | |
| "learning_rate": 0.00035032425762733554, | |
| "loss": 3.34040283203125, | |
| "step": 29900 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 0.18712250888347626, | |
| "learning_rate": 0.0003473207018129635, | |
| "loss": 3.356614685058594, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "eval_accuracy": 0.3802063011480555, | |
| "eval_loss": 3.314772367477417, | |
| "eval_runtime": 6.363, | |
| "eval_samples_per_second": 305.046, | |
| "eval_steps_per_second": 19.173, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.602, | |
| "grad_norm": 0.14657410979270935, | |
| "learning_rate": 0.0003443232098442347, | |
| "loss": 3.3668572998046873, | |
| "step": 30100 | |
| }, | |
| { | |
| "epoch": 0.604, | |
| "grad_norm": 0.138699010014534, | |
| "learning_rate": 0.0003413319007702201, | |
| "loss": 3.3502297973632813, | |
| "step": 30200 | |
| }, | |
| { | |
| "epoch": 0.606, | |
| "grad_norm": 0.15832597017288208, | |
| "learning_rate": 0.0003383468933944299, | |
| "loss": 3.355211181640625, | |
| "step": 30300 | |
| }, | |
| { | |
| "epoch": 0.608, | |
| "grad_norm": 0.15029780566692352, | |
| "learning_rate": 0.0003353683062700939, | |
| "loss": 3.348283386230469, | |
| "step": 30400 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 0.17595185339450836, | |
| "learning_rate": 0.0003323962576954539, | |
| "loss": 3.3513107299804688, | |
| "step": 30500 | |
| }, | |
| { | |
| "epoch": 0.612, | |
| "grad_norm": 0.1754045933485031, | |
| "learning_rate": 0.00032943086570906576, | |
| "loss": 3.3677444458007812, | |
| "step": 30600 | |
| }, | |
| { | |
| "epoch": 0.614, | |
| "grad_norm": 0.14994262158870697, | |
| "learning_rate": 0.00032647224808511, | |
| "loss": 3.3526513671875, | |
| "step": 30700 | |
| }, | |
| { | |
| "epoch": 0.616, | |
| "grad_norm": 0.14404474198818207, | |
| "learning_rate": 0.00032352052232871543, | |
| "loss": 3.31786865234375, | |
| "step": 30800 | |
| }, | |
| { | |
| "epoch": 0.618, | |
| "grad_norm": 0.14154170453548431, | |
| "learning_rate": 0.0003205758056712919, | |
| "loss": 3.341680908203125, | |
| "step": 30900 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 0.13272085785865784, | |
| "learning_rate": 0.0003176382150658742, | |
| "loss": 3.344057922363281, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "eval_accuracy": 0.3808566004369608, | |
| "eval_loss": 3.3054208755493164, | |
| "eval_runtime": 6.7684, | |
| "eval_samples_per_second": 286.774, | |
| "eval_steps_per_second": 18.025, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.622, | |
| "grad_norm": 0.14439266920089722, | |
| "learning_rate": 0.00031470786718247704, | |
| "loss": 3.336947021484375, | |
| "step": 31100 | |
| }, | |
| { | |
| "epoch": 0.624, | |
| "grad_norm": 0.1481838971376419, | |
| "learning_rate": 0.000311784878403462, | |
| "loss": 3.3591497802734374, | |
| "step": 31200 | |
| }, | |
| { | |
| "epoch": 0.626, | |
| "grad_norm": 0.13957072794437408, | |
| "learning_rate": 0.00030886936481891447, | |
| "loss": 3.333016357421875, | |
| "step": 31300 | |
| }, | |
| { | |
| "epoch": 0.628, | |
| "grad_norm": 0.1470046043395996, | |
| "learning_rate": 0.0003059614422220331, | |
| "loss": 3.349130859375, | |
| "step": 31400 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 0.13627968728542328, | |
| "learning_rate": 0.00030306122610453183, | |
| "loss": 3.3334747314453126, | |
| "step": 31500 | |
| }, | |
| { | |
| "epoch": 0.632, | |
| "grad_norm": 0.27877408266067505, | |
| "learning_rate": 0.00030016883165205166, | |
| "loss": 3.3201373291015623, | |
| "step": 31600 | |
| }, | |
| { | |
| "epoch": 0.634, | |
| "grad_norm": 0.14691542088985443, | |
| "learning_rate": 0.00029728437373958684, | |
| "loss": 3.3420004272460937, | |
| "step": 31700 | |
| }, | |
| { | |
| "epoch": 0.636, | |
| "grad_norm": 0.1655166745185852, | |
| "learning_rate": 0.0002944079669269224, | |
| "loss": 3.32868408203125, | |
| "step": 31800 | |
| }, | |
| { | |
| "epoch": 0.638, | |
| "grad_norm": 0.16263002157211304, | |
| "learning_rate": 0.0002915397254540836, | |
| "loss": 3.327845153808594, | |
| "step": 31900 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 0.13551194965839386, | |
| "learning_rate": 0.00028867976323679957, | |
| "loss": 3.326793518066406, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "eval_accuracy": 0.38135970019690457, | |
| "eval_loss": 3.302846908569336, | |
| "eval_runtime": 6.3825, | |
| "eval_samples_per_second": 304.112, | |
| "eval_steps_per_second": 19.115, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.002, | |
| "grad_norm": 0.14640577137470245, | |
| "learning_rate": 0.0002858281938619785, | |
| "loss": 3.115254211425781, | |
| "step": 32100 | |
| }, | |
| { | |
| "epoch": 0.004, | |
| "grad_norm": 0.139010488986969, | |
| "learning_rate": 0.00028298513058319685, | |
| "loss": 3.07729248046875, | |
| "step": 32200 | |
| }, | |
| { | |
| "epoch": 0.006, | |
| "grad_norm": 0.1498369425535202, | |
| "learning_rate": 0.0002801506863162001, | |
| "loss": 3.0912158203125, | |
| "step": 32300 | |
| }, | |
| { | |
| "epoch": 0.008, | |
| "grad_norm": 0.15137332677841187, | |
| "learning_rate": 0.0002773249736344206, | |
| "loss": 3.07073486328125, | |
| "step": 32400 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 0.14690713584423065, | |
| "learning_rate": 0.0002745081047645037, | |
| "loss": 3.0815118408203124, | |
| "step": 32500 | |
| }, | |
| { | |
| "epoch": 0.012, | |
| "grad_norm": 0.1449531465768814, | |
| "learning_rate": 0.00027170019158185253, | |
| "loss": 3.067219543457031, | |
| "step": 32600 | |
| }, | |
| { | |
| "epoch": 0.014, | |
| "grad_norm": 0.15289907157421112, | |
| "learning_rate": 0.0002689013456061843, | |
| "loss": 3.065643310546875, | |
| "step": 32700 | |
| }, | |
| { | |
| "epoch": 0.016, | |
| "grad_norm": 0.13553819060325623, | |
| "learning_rate": 0.00026611167799710044, | |
| "loss": 3.081978759765625, | |
| "step": 32800 | |
| }, | |
| { | |
| "epoch": 0.018, | |
| "grad_norm": 0.15303637087345123, | |
| "learning_rate": 0.0002633312995496727, | |
| "loss": 3.074805908203125, | |
| "step": 32900 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 0.1398230940103531, | |
| "learning_rate": 0.0002605603206900423, | |
| "loss": 3.061953125, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_accuracy": 0.3804281086574496, | |
| "eval_loss": 3.310852289199829, | |
| "eval_runtime": 11.9581, | |
| "eval_samples_per_second": 162.316, | |
| "eval_steps_per_second": 10.202, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 0.022, | |
| "grad_norm": 0.19870808720588684, | |
| "learning_rate": 0.00025779885147103436, | |
| "loss": 3.070841979980469, | |
| "step": 33100 | |
| }, | |
| { | |
| "epoch": 0.024, | |
| "grad_norm": 0.15535953640937805, | |
| "learning_rate": 0.0002550470015677863, | |
| "loss": 3.064533996582031, | |
| "step": 33200 | |
| }, | |
| { | |
| "epoch": 0.026, | |
| "grad_norm": 0.15493761003017426, | |
| "learning_rate": 0.0002523048802733939, | |
| "loss": 3.0495779418945315, | |
| "step": 33300 | |
| }, | |
| { | |
| "epoch": 0.028, | |
| "grad_norm": 0.13659609854221344, | |
| "learning_rate": 0.0002495725964945681, | |
| "loss": 3.042427978515625, | |
| "step": 33400 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 0.1522352397441864, | |
| "learning_rate": 0.0002468502587473111, | |
| "loss": 3.0562362670898438, | |
| "step": 33500 | |
| }, | |
| { | |
| "epoch": 0.032, | |
| "grad_norm": 0.19474385678768158, | |
| "learning_rate": 0.00024413797515260717, | |
| "loss": 3.051845703125, | |
| "step": 33600 | |
| }, | |
| { | |
| "epoch": 0.034, | |
| "grad_norm": 0.15455342829227448, | |
| "learning_rate": 0.0002414358534321262, | |
| "loss": 3.0544952392578124, | |
| "step": 33700 | |
| }, | |
| { | |
| "epoch": 0.036, | |
| "grad_norm": 0.17269164323806763, | |
| "learning_rate": 0.00023874400090394778, | |
| "loss": 3.0642709350585937, | |
| "step": 33800 | |
| }, | |
| { | |
| "epoch": 0.038, | |
| "grad_norm": 0.14971676468849182, | |
| "learning_rate": 0.0002360625244782974, | |
| "loss": 3.0341754150390625, | |
| "step": 33900 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.14853248000144958, | |
| "learning_rate": 0.0002333915306533012, | |
| "loss": 3.015852355957031, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.38098766851069366, | |
| "eval_loss": 3.3074276447296143, | |
| "eval_runtime": 13.1242, | |
| "eval_samples_per_second": 147.895, | |
| "eval_steps_per_second": 9.296, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 0.042, | |
| "grad_norm": 0.15125946700572968, | |
| "learning_rate": 0.00023073112551075587, | |
| "loss": 3.0514120483398437, | |
| "step": 34100 | |
| }, | |
| { | |
| "epoch": 0.044, | |
| "grad_norm": 0.1368522197008133, | |
| "learning_rate": 0.00022808141471191557, | |
| "loss": 3.0052923583984374, | |
| "step": 34200 | |
| }, | |
| { | |
| "epoch": 0.046, | |
| "grad_norm": 0.153466135263443, | |
| "learning_rate": 0.00022544250349329565, | |
| "loss": 3.0354010009765626, | |
| "step": 34300 | |
| }, | |
| { | |
| "epoch": 0.048, | |
| "grad_norm": 0.14528165757656097, | |
| "learning_rate": 0.00022281449666249222, | |
| "loss": 3.0583941650390627, | |
| "step": 34400 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 0.16713589429855347, | |
| "learning_rate": 0.0002201974985940215, | |
| "loss": 3.046011962890625, | |
| "step": 34500 | |
| }, | |
| { | |
| "epoch": 0.052, | |
| "grad_norm": 0.1621810495853424, | |
| "learning_rate": 0.00021759161322517184, | |
| "loss": 3.021026916503906, | |
| "step": 34600 | |
| }, | |
| { | |
| "epoch": 0.054, | |
| "grad_norm": 0.1539982110261917, | |
| "learning_rate": 0.00021499694405187797, | |
| "loss": 3.0086825561523436, | |
| "step": 34700 | |
| }, | |
| { | |
| "epoch": 0.056, | |
| "grad_norm": 0.1489582359790802, | |
| "learning_rate": 0.00021241359412460937, | |
| "loss": 3.038551025390625, | |
| "step": 34800 | |
| }, | |
| { | |
| "epoch": 0.058, | |
| "grad_norm": 0.15666431188583374, | |
| "learning_rate": 0.00020984166604427778, | |
| "loss": 3.0483087158203124, | |
| "step": 34900 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.5827662348747253, | |
| "learning_rate": 0.00020728126195816238, | |
| "loss": 3.0230258178710936, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_accuracy": 0.38149883399825174, | |
| "eval_loss": 3.3024532794952393, | |
| "eval_runtime": 8.9187, | |
| "eval_samples_per_second": 217.633, | |
| "eval_steps_per_second": 13.679, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.062, | |
| "grad_norm": 0.14230984449386597, | |
| "learning_rate": 0.00020473248355585267, | |
| "loss": 3.0248248291015627, | |
| "step": 35100 | |
| }, | |
| { | |
| "epoch": 0.064, | |
| "grad_norm": 0.13632775843143463, | |
| "learning_rate": 0.00020219543206521, | |
| "loss": 3.0088482666015626, | |
| "step": 35200 | |
| }, | |
| { | |
| "epoch": 0.066, | |
| "grad_norm": 0.14240941405296326, | |
| "learning_rate": 0.00019967020824834648, | |
| "loss": 3.0288742065429686, | |
| "step": 35300 | |
| }, | |
| { | |
| "epoch": 0.068, | |
| "grad_norm": 0.16221162676811218, | |
| "learning_rate": 0.00019715691239762466, | |
| "loss": 3.007751770019531, | |
| "step": 35400 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 0.15388672053813934, | |
| "learning_rate": 0.00019465564433167237, | |
| "loss": 3.0218731689453127, | |
| "step": 35500 | |
| }, | |
| { | |
| "epoch": 0.072, | |
| "grad_norm": 0.1594669222831726, | |
| "learning_rate": 0.0001921665033914196, | |
| "loss": 3.030206604003906, | |
| "step": 35600 | |
| }, | |
| { | |
| "epoch": 0.074, | |
| "grad_norm": 0.15590718388557434, | |
| "learning_rate": 0.00018968958843615263, | |
| "loss": 3.0212777709960936, | |
| "step": 35700 | |
| }, | |
| { | |
| "epoch": 0.076, | |
| "grad_norm": 0.19116833806037903, | |
| "learning_rate": 0.0001872249978395878, | |
| "loss": 3.014992370605469, | |
| "step": 35800 | |
| }, | |
| { | |
| "epoch": 0.078, | |
| "grad_norm": 0.1420874446630478, | |
| "learning_rate": 0.00018477282948596425, | |
| "loss": 3.003076171875, | |
| "step": 35900 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 0.14843791723251343, | |
| "learning_rate": 0.00018233318076615667, | |
| "loss": 3.0334661865234374, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.3820614184993512, | |
| "eval_loss": 3.2988061904907227, | |
| "eval_runtime": 8.5815, | |
| "eval_samples_per_second": 226.185, | |
| "eval_steps_per_second": 14.217, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 0.082, | |
| "grad_norm": 0.17176257073879242, | |
| "learning_rate": 0.00017990614857380728, | |
| "loss": 3.0163888549804687, | |
| "step": 36100 | |
| }, | |
| { | |
| "epoch": 0.084, | |
| "grad_norm": 0.13782846927642822, | |
| "learning_rate": 0.00017749182930147656, | |
| "loss": 3.010736999511719, | |
| "step": 36200 | |
| }, | |
| { | |
| "epoch": 0.086, | |
| "grad_norm": 0.14697974920272827, | |
| "learning_rate": 0.00017509031883681714, | |
| "loss": 3.0050363159179687, | |
| "step": 36300 | |
| }, | |
| { | |
| "epoch": 0.088, | |
| "grad_norm": 0.1496117264032364, | |
| "learning_rate": 0.00017270171255876328, | |
| "loss": 2.994004211425781, | |
| "step": 36400 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 0.14235389232635498, | |
| "learning_rate": 0.00017032610533374338, | |
| "loss": 3.0134628295898436, | |
| "step": 36500 | |
| }, | |
| { | |
| "epoch": 0.092, | |
| "grad_norm": 0.16272151470184326, | |
| "learning_rate": 0.0001679635915119136, | |
| "loss": 2.9897280883789064, | |
| "step": 36600 | |
| }, | |
| { | |
| "epoch": 0.094, | |
| "grad_norm": 0.15706537663936615, | |
| "learning_rate": 0.00016561426492340826, | |
| "loss": 3.014703369140625, | |
| "step": 36700 | |
| }, | |
| { | |
| "epoch": 0.096, | |
| "grad_norm": 0.149558886885643, | |
| "learning_rate": 0.0001632782188746153, | |
| "loss": 2.9928765869140626, | |
| "step": 36800 | |
| }, | |
| { | |
| "epoch": 0.098, | |
| "grad_norm": 0.1528598964214325, | |
| "learning_rate": 0.00016095554614446955, | |
| "loss": 2.9844891357421877, | |
| "step": 36900 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 0.15897603332996368, | |
| "learning_rate": 0.00015864633898076812, | |
| "loss": 3.0097698974609375, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_accuracy": 0.38257762506666826, | |
| "eval_loss": 3.2958788871765137, | |
| "eval_runtime": 9.1504, | |
| "eval_samples_per_second": 212.121, | |
| "eval_steps_per_second": 13.333, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 0.102, | |
| "grad_norm": 0.14843960106372833, | |
| "learning_rate": 0.00015635068909650656, | |
| "loss": 2.975020446777344, | |
| "step": 37100 | |
| }, | |
| { | |
| "epoch": 0.104, | |
| "grad_norm": 0.15033408999443054, | |
| "learning_rate": 0.0001540686876662365, | |
| "loss": 3.0080502319335936, | |
| "step": 37200 | |
| }, | |
| { | |
| "epoch": 0.106, | |
| "grad_norm": 0.15051966905593872, | |
| "learning_rate": 0.00015180042532244448, | |
| "loss": 2.989608154296875, | |
| "step": 37300 | |
| }, | |
| { | |
| "epoch": 0.108, | |
| "grad_norm": 0.13960620760917664, | |
| "learning_rate": 0.00014954599215195196, | |
| "loss": 3.0019635009765624, | |
| "step": 37400 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 0.14864717423915863, | |
| "learning_rate": 0.00014730547769233876, | |
| "loss": 2.99054931640625, | |
| "step": 37500 | |
| }, | |
| { | |
| "epoch": 0.112, | |
| "grad_norm": 0.13497526943683624, | |
| "learning_rate": 0.00014507897092838496, | |
| "loss": 2.9777395629882815, | |
| "step": 37600 | |
| }, | |
| { | |
| "epoch": 0.114, | |
| "grad_norm": 0.14896409213542938, | |
| "learning_rate": 0.00014286656028853845, | |
| "loss": 2.983952941894531, | |
| "step": 37700 | |
| }, | |
| { | |
| "epoch": 0.116, | |
| "grad_norm": 0.14890077710151672, | |
| "learning_rate": 0.00014066833364140215, | |
| "loss": 2.9580343627929686, | |
| "step": 37800 | |
| }, | |
| { | |
| "epoch": 0.118, | |
| "grad_norm": 0.1506078690290451, | |
| "learning_rate": 0.0001384843782922442, | |
| "loss": 3.0047003173828126, | |
| "step": 37900 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 0.13839152455329895, | |
| "learning_rate": 0.0001363147809795307, | |
| "loss": 3.0096331787109376, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.38263912623972757, | |
| "eval_loss": 3.293242931365967, | |
| "eval_runtime": 8.7928, | |
| "eval_samples_per_second": 220.749, | |
| "eval_steps_per_second": 13.875, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 0.122, | |
| "grad_norm": 0.14622287452220917, | |
| "learning_rate": 0.0001341596278714808, | |
| "loss": 2.981756286621094, | |
| "step": 38100 | |
| }, | |
| { | |
| "epoch": 0.124, | |
| "grad_norm": 0.14599764347076416, | |
| "learning_rate": 0.00013201900456264433, | |
| "loss": 2.9829974365234375, | |
| "step": 38200 | |
| }, | |
| { | |
| "epoch": 0.126, | |
| "grad_norm": 0.15080520510673523, | |
| "learning_rate": 0.00012989299607050176, | |
| "loss": 3.010633544921875, | |
| "step": 38300 | |
| }, | |
| { | |
| "epoch": 0.128, | |
| "grad_norm": 0.1488070785999298, | |
| "learning_rate": 0.00012778168683208935, | |
| "loss": 2.9718212890625, | |
| "step": 38400 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 0.16047491133213043, | |
| "learning_rate": 0.00012568516070064328, | |
| "loss": 2.979062805175781, | |
| "step": 38500 | |
| }, | |
| { | |
| "epoch": 0.132, | |
| "grad_norm": 0.14107033610343933, | |
| "learning_rate": 0.00012360350094227102, | |
| "loss": 2.9834564208984373, | |
| "step": 38600 | |
| }, | |
| { | |
| "epoch": 0.134, | |
| "grad_norm": 0.16287438571453094, | |
| "learning_rate": 0.0001215367902326442, | |
| "loss": 2.988681640625, | |
| "step": 38700 | |
| }, | |
| { | |
| "epoch": 0.136, | |
| "grad_norm": 0.1597314476966858, | |
| "learning_rate": 0.00011948511065371376, | |
| "loss": 2.9878759765625, | |
| "step": 38800 | |
| }, | |
| { | |
| "epoch": 0.138, | |
| "grad_norm": 0.1734859049320221, | |
| "learning_rate": 0.0001174485436904515, | |
| "loss": 2.9992620849609377, | |
| "step": 38900 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.15174660086631775, | |
| "learning_rate": 0.0001154271702276129, | |
| "loss": 2.9760171508789064, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_accuracy": 0.383085765906371, | |
| "eval_loss": 3.2904224395751953, | |
| "eval_runtime": 8.8802, | |
| "eval_samples_per_second": 218.577, | |
| "eval_steps_per_second": 13.738, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 0.142, | |
| "grad_norm": 0.14373154938220978, | |
| "learning_rate": 0.00011342107054652494, | |
| "loss": 2.9714199829101564, | |
| "step": 39100 | |
| }, | |
| { | |
| "epoch": 0.144, | |
| "grad_norm": 0.1446230262517929, | |
| "learning_rate": 0.00011143032432189776, | |
| "loss": 2.985970764160156, | |
| "step": 39200 | |
| }, | |
| { | |
| "epoch": 0.146, | |
| "grad_norm": 0.15378804504871368, | |
| "learning_rate": 0.00010945501061865998, | |
| "loss": 2.9741244506835938, | |
| "step": 39300 | |
| }, | |
| { | |
| "epoch": 0.148, | |
| "grad_norm": 0.14110712707042694, | |
| "learning_rate": 0.00010749520788881883, | |
| "loss": 2.9957791137695313, | |
| "step": 39400 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 0.14115746319293976, | |
| "learning_rate": 0.00010555099396834378, | |
| "loss": 2.957854919433594, | |
| "step": 39500 | |
| }, | |
| { | |
| "epoch": 0.152, | |
| "grad_norm": 0.13682854175567627, | |
| "learning_rate": 0.0001036224460740765, | |
| "loss": 2.9818161010742186, | |
| "step": 39600 | |
| }, | |
| { | |
| "epoch": 0.154, | |
| "grad_norm": 0.15571151673793793, | |
| "learning_rate": 0.00010170964080066225, | |
| "loss": 2.9793820190429687, | |
| "step": 39700 | |
| }, | |
| { | |
| "epoch": 0.156, | |
| "grad_norm": 0.14156827330589294, | |
| "learning_rate": 9.981265411750934e-05, | |
| "loss": 2.963619384765625, | |
| "step": 39800 | |
| }, | |
| { | |
| "epoch": 0.158, | |
| "grad_norm": 0.1549520343542099, | |
| "learning_rate": 9.793156136577125e-05, | |
| "loss": 2.9770501708984374, | |
| "step": 39900 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 0.15499472618103027, | |
| "learning_rate": 9.606643725535436e-05, | |
| "loss": 2.9700833129882813, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.38321784219605565, | |
| "eval_loss": 3.286919593811035, | |
| "eval_runtime": 8.6196, | |
| "eval_samples_per_second": 225.184, | |
| "eval_steps_per_second": 14.154, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 0.162, | |
| "grad_norm": 0.15037383139133453, | |
| "learning_rate": 9.421735586195107e-05, | |
| "loss": 2.9509246826171873, | |
| "step": 40100 | |
| }, | |
| { | |
| "epoch": 0.164, | |
| "grad_norm": 0.1613582968711853, | |
| "learning_rate": 9.238439062409743e-05, | |
| "loss": 2.9910101318359374, | |
| "step": 40200 | |
| }, | |
| { | |
| "epoch": 0.166, | |
| "grad_norm": 0.14735275506973267, | |
| "learning_rate": 9.056761434025673e-05, | |
| "loss": 2.9853973388671875, | |
| "step": 40300 | |
| }, | |
| { | |
| "epoch": 0.168, | |
| "grad_norm": 0.1489039957523346, | |
| "learning_rate": 8.876709916592768e-05, | |
| "loss": 2.9695831298828126, | |
| "step": 40400 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 0.15305224061012268, | |
| "learning_rate": 8.698291661077995e-05, | |
| "loss": 2.9895590209960936, | |
| "step": 40500 | |
| }, | |
| { | |
| "epoch": 0.172, | |
| "grad_norm": 0.14815682172775269, | |
| "learning_rate": 8.521513753581222e-05, | |
| "loss": 2.991077880859375, | |
| "step": 40600 | |
| }, | |
| { | |
| "epoch": 0.174, | |
| "grad_norm": 0.16085270047187805, | |
| "learning_rate": 8.346383215053938e-05, | |
| "loss": 2.9522689819335937, | |
| "step": 40700 | |
| }, | |
| { | |
| "epoch": 0.176, | |
| "grad_norm": 0.15213212370872498, | |
| "learning_rate": 8.172907001020341e-05, | |
| "loss": 2.9664620971679687, | |
| "step": 40800 | |
| }, | |
| { | |
| "epoch": 0.178, | |
| "grad_norm": 0.1419726014137268, | |
| "learning_rate": 8.001092001301107e-05, | |
| "loss": 2.97818115234375, | |
| "step": 40900 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.15810449421405792, | |
| "learning_rate": 7.830945039739745e-05, | |
| "loss": 2.9653594970703123, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_accuracy": 0.383703802284819, | |
| "eval_loss": 3.2846739292144775, | |
| "eval_runtime": 8.7053, | |
| "eval_samples_per_second": 222.968, | |
| "eval_steps_per_second": 14.014, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 0.182, | |
| "grad_norm": 0.13863492012023926, | |
| "learning_rate": 7.66247287393157e-05, | |
| "loss": 2.974002685546875, | |
| "step": 41100 | |
| }, | |
| { | |
| "epoch": 0.184, | |
| "grad_norm": 0.14595595002174377, | |
| "learning_rate": 7.495682194955355e-05, | |
| "loss": 2.95628173828125, | |
| "step": 41200 | |
| }, | |
| { | |
| "epoch": 0.186, | |
| "grad_norm": 0.1462547481060028, | |
| "learning_rate": 7.330579627107508e-05, | |
| "loss": 2.9797796630859374, | |
| "step": 41300 | |
| }, | |
| { | |
| "epoch": 0.188, | |
| "grad_norm": 0.14023055136203766, | |
| "learning_rate": 7.167171727639105e-05, | |
| "loss": 2.97584716796875, | |
| "step": 41400 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 0.15168802440166473, | |
| "learning_rate": 7.005464986495352e-05, | |
| "loss": 2.971091613769531, | |
| "step": 41500 | |
| }, | |
| { | |
| "epoch": 0.192, | |
| "grad_norm": 0.15589351952075958, | |
| "learning_rate": 6.845465826057828e-05, | |
| "loss": 2.972411804199219, | |
| "step": 41600 | |
| }, | |
| { | |
| "epoch": 0.194, | |
| "grad_norm": 0.15626484155654907, | |
| "learning_rate": 6.68718060088953e-05, | |
| "loss": 2.947337341308594, | |
| "step": 41700 | |
| }, | |
| { | |
| "epoch": 0.196, | |
| "grad_norm": 0.1376980096101761, | |
| "learning_rate": 6.530615597482342e-05, | |
| "loss": 2.9626498413085938, | |
| "step": 41800 | |
| }, | |
| { | |
| "epoch": 0.198, | |
| "grad_norm": 0.14533552527427673, | |
| "learning_rate": 6.375777034007463e-05, | |
| "loss": 3.0008612060546875, | |
| "step": 41900 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.15397998690605164, | |
| "learning_rate": 6.222671060068407e-05, | |
| "loss": 2.9751876831054687, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3838933468837557, | |
| "eval_loss": 3.282271385192871, | |
| "eval_runtime": 8.7427, | |
| "eval_samples_per_second": 222.015, | |
| "eval_steps_per_second": 13.955, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 0.202, | |
| "grad_norm": 0.1419166624546051, | |
| "learning_rate": 6.0713037564567694e-05, | |
| "loss": 2.9582757568359375, | |
| "step": 42100 | |
| }, | |
| { | |
| "epoch": 0.204, | |
| "grad_norm": 0.14514276385307312, | |
| "learning_rate": 5.921681134910717e-05, | |
| "loss": 2.9580014038085936, | |
| "step": 42200 | |
| }, | |
| { | |
| "epoch": 0.206, | |
| "grad_norm": 0.16064871847629547, | |
| "learning_rate": 5.773809137876235e-05, | |
| "loss": 2.968863525390625, | |
| "step": 42300 | |
| }, | |
| { | |
| "epoch": 0.208, | |
| "grad_norm": 0.14985115826129913, | |
| "learning_rate": 5.6276936382711144e-05, | |
| "loss": 2.9703680419921876, | |
| "step": 42400 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 0.14414609968662262, | |
| "learning_rate": 5.483340439251644e-05, | |
| "loss": 2.982804870605469, | |
| "step": 42500 | |
| }, | |
| { | |
| "epoch": 0.212, | |
| "grad_norm": 0.16357700526714325, | |
| "learning_rate": 5.340755273982273e-05, | |
| "loss": 2.9501416015625, | |
| "step": 42600 | |
| }, | |
| { | |
| "epoch": 0.214, | |
| "grad_norm": 0.1366511881351471, | |
| "learning_rate": 5.199943805407742e-05, | |
| "loss": 2.971943664550781, | |
| "step": 42700 | |
| }, | |
| { | |
| "epoch": 0.216, | |
| "grad_norm": 0.1515188068151474, | |
| "learning_rate": 5.0609116260282864e-05, | |
| "loss": 2.978944091796875, | |
| "step": 42800 | |
| }, | |
| { | |
| "epoch": 0.218, | |
| "grad_norm": 0.13808998465538025, | |
| "learning_rate": 4.9236642576774906e-05, | |
| "loss": 2.962769775390625, | |
| "step": 42900 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 0.17845956981182098, | |
| "learning_rate": 4.788207151302964e-05, | |
| "loss": 2.94796142578125, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_accuracy": 0.38396997129609184, | |
| "eval_loss": 3.2809572219848633, | |
| "eval_runtime": 8.8116, | |
| "eval_samples_per_second": 220.278, | |
| "eval_steps_per_second": 13.845, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 0.222, | |
| "grad_norm": 0.15073730051517487, | |
| "learning_rate": 4.654545686749872e-05, | |
| "loss": 2.980477600097656, | |
| "step": 43100 | |
| }, | |
| { | |
| "epoch": 0.224, | |
| "grad_norm": 0.14061863720417023, | |
| "learning_rate": 4.522685172547269e-05, | |
| "loss": 2.951471252441406, | |
| "step": 43200 | |
| }, | |
| { | |
| "epoch": 0.226, | |
| "grad_norm": 0.14917391538619995, | |
| "learning_rate": 4.3926308456972596e-05, | |
| "loss": 2.9555926513671875, | |
| "step": 43300 | |
| }, | |
| { | |
| "epoch": 0.228, | |
| "grad_norm": 0.15331073105335236, | |
| "learning_rate": 4.264387871466963e-05, | |
| "loss": 2.9574981689453126, | |
| "step": 43400 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 0.15429548919200897, | |
| "learning_rate": 4.137961343183472e-05, | |
| "loss": 2.9603759765625, | |
| "step": 43500 | |
| }, | |
| { | |
| "epoch": 0.232, | |
| "grad_norm": 0.15303488075733185, | |
| "learning_rate": 4.0133562820314385e-05, | |
| "loss": 2.9570083618164062, | |
| "step": 43600 | |
| }, | |
| { | |
| "epoch": 0.234, | |
| "grad_norm": 0.16372403502464294, | |
| "learning_rate": 3.8905776368537426e-05, | |
| "loss": 2.970541687011719, | |
| "step": 43700 | |
| }, | |
| { | |
| "epoch": 0.236, | |
| "grad_norm": 0.1566547304391861, | |
| "learning_rate": 3.7696302839549336e-05, | |
| "loss": 2.9552093505859376, | |
| "step": 43800 | |
| }, | |
| { | |
| "epoch": 0.238, | |
| "grad_norm": 0.15626369416713715, | |
| "learning_rate": 3.650519026907484e-05, | |
| "loss": 2.954615478515625, | |
| "step": 43900 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 0.14116933941841125, | |
| "learning_rate": 3.5332485963611217e-05, | |
| "loss": 2.963729248046875, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.38423714852331653, | |
| "eval_loss": 3.2790355682373047, | |
| "eval_runtime": 8.6003, | |
| "eval_samples_per_second": 225.69, | |
| "eval_steps_per_second": 14.186, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 0.242, | |
| "grad_norm": 0.1386120468378067, | |
| "learning_rate": 3.4178236498548566e-05, | |
| "loss": 2.9823358154296873, | |
| "step": 44100 | |
| }, | |
| { | |
| "epoch": 0.244, | |
| "grad_norm": 0.14559704065322876, | |
| "learning_rate": 3.304248771632068e-05, | |
| "loss": 3.000511474609375, | |
| "step": 44200 | |
| }, | |
| { | |
| "epoch": 0.246, | |
| "grad_norm": 0.1556394100189209, | |
| "learning_rate": 3.192528472458356e-05, | |
| "loss": 2.974275817871094, | |
| "step": 44300 | |
| }, | |
| { | |
| "epoch": 0.248, | |
| "grad_norm": 0.14107827842235565, | |
| "learning_rate": 3.0826671894424896e-05, | |
| "loss": 2.9849594116210936, | |
| "step": 44400 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 0.1435183584690094, | |
| "learning_rate": 2.9746692858601153e-05, | |
| "loss": 2.986834716796875, | |
| "step": 44500 | |
| }, | |
| { | |
| "epoch": 0.252, | |
| "grad_norm": 0.14042021334171295, | |
| "learning_rate": 2.86853905098044e-05, | |
| "loss": 2.9832034301757813, | |
| "step": 44600 | |
| }, | |
| { | |
| "epoch": 0.254, | |
| "grad_norm": 0.14901328086853027, | |
| "learning_rate": 2.7642806998959825e-05, | |
| "loss": 2.9711032104492188, | |
| "step": 44700 | |
| }, | |
| { | |
| "epoch": 0.256, | |
| "grad_norm": 0.1637275367975235, | |
| "learning_rate": 2.6618983733550428e-05, | |
| "loss": 3.0130319213867187, | |
| "step": 44800 | |
| }, | |
| { | |
| "epoch": 0.258, | |
| "grad_norm": 0.15092074871063232, | |
| "learning_rate": 2.5613961375973384e-05, | |
| "loss": 2.976082458496094, | |
| "step": 44900 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 0.15425318479537964, | |
| "learning_rate": 2.46277798419246e-05, | |
| "loss": 2.9721246337890626, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_accuracy": 0.3843389783344474, | |
| "eval_loss": 3.277207612991333, | |
| "eval_runtime": 9.0174, | |
| "eval_samples_per_second": 215.251, | |
| "eval_steps_per_second": 13.529, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 0.262, | |
| "grad_norm": 0.14529016613960266, | |
| "learning_rate": 2.3660478298813682e-05, | |
| "loss": 2.955975341796875, | |
| "step": 45100 | |
| }, | |
| { | |
| "epoch": 0.264, | |
| "grad_norm": 0.1409466564655304, | |
| "learning_rate": 2.271209516420808e-05, | |
| "loss": 2.9534814453125, | |
| "step": 45200 | |
| }, | |
| { | |
| "epoch": 0.266, | |
| "grad_norm": 0.1580328494310379, | |
| "learning_rate": 2.1782668104307513e-05, | |
| "loss": 2.9937799072265623, | |
| "step": 45300 | |
| }, | |
| { | |
| "epoch": 0.268, | |
| "grad_norm": 0.1395774632692337, | |
| "learning_rate": 2.087223403244809e-05, | |
| "loss": 2.9789169311523436, | |
| "step": 45400 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 0.1499042958021164, | |
| "learning_rate": 1.9980829107635658e-05, | |
| "loss": 2.9510009765625, | |
| "step": 45500 | |
| }, | |
| { | |
| "epoch": 0.272, | |
| "grad_norm": 0.1363893300294876, | |
| "learning_rate": 1.9108488733110718e-05, | |
| "loss": 2.9952117919921877, | |
| "step": 45600 | |
| }, | |
| { | |
| "epoch": 0.274, | |
| "grad_norm": 0.15024074912071228, | |
| "learning_rate": 1.8255247554941346e-05, | |
| "loss": 2.942423095703125, | |
| "step": 45700 | |
| }, | |
| { | |
| "epoch": 0.276, | |
| "grad_norm": 0.1419738084077835, | |
| "learning_rate": 1.7421139460647716e-05, | |
| "loss": 2.964244689941406, | |
| "step": 45800 | |
| }, | |
| { | |
| "epoch": 0.278, | |
| "grad_norm": 0.14513224363327026, | |
| "learning_rate": 1.6606197577856196e-05, | |
| "loss": 2.977562255859375, | |
| "step": 45900 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.1422048956155777, | |
| "learning_rate": 1.5810454272983443e-05, | |
| "loss": 2.969391174316406, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_accuracy": 0.38465757457521343, | |
| "eval_loss": 3.2764923572540283, | |
| "eval_runtime": 8.5865, | |
| "eval_samples_per_second": 226.054, | |
| "eval_steps_per_second": 14.208, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 0.282, | |
| "grad_norm": 0.15725959837436676, | |
| "learning_rate": 1.5033941149951102e-05, | |
| "loss": 2.9681582641601563, | |
| "step": 46100 | |
| }, | |
| { | |
| "epoch": 0.284, | |
| "grad_norm": 0.14279291033744812, | |
| "learning_rate": 1.4276689048930535e-05, | |
| "loss": 2.9894549560546877, | |
| "step": 46200 | |
| }, | |
| { | |
| "epoch": 0.286, | |
| "grad_norm": 0.14746861159801483, | |
| "learning_rate": 1.353872804511791e-05, | |
| "loss": 2.9572384643554686, | |
| "step": 46300 | |
| }, | |
| { | |
| "epoch": 0.288, | |
| "grad_norm": 0.1410951167345047, | |
| "learning_rate": 1.2820087447539874e-05, | |
| "loss": 2.956263427734375, | |
| "step": 46400 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 0.1605064570903778, | |
| "learning_rate": 1.212079579788955e-05, | |
| "loss": 2.9751992797851563, | |
| "step": 46500 | |
| }, | |
| { | |
| "epoch": 0.292, | |
| "grad_norm": 0.24090786278247833, | |
| "learning_rate": 1.1440880869392545e-05, | |
| "loss": 2.9600045776367185, | |
| "step": 46600 | |
| }, | |
| { | |
| "epoch": 0.294, | |
| "grad_norm": 0.14448581635951996, | |
| "learning_rate": 1.0780369665704504e-05, | |
| "loss": 2.9817608642578124, | |
| "step": 46700 | |
| }, | |
| { | |
| "epoch": 0.296, | |
| "grad_norm": 0.1405927687883377, | |
| "learning_rate": 1.01392884198383e-05, | |
| "loss": 2.9607421875, | |
| "step": 46800 | |
| }, | |
| { | |
| "epoch": 0.298, | |
| "grad_norm": 0.1901511251926422, | |
| "learning_rate": 9.517662593122034e-06, | |
| "loss": 2.9657598876953126, | |
| "step": 46900 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 0.14527775347232819, | |
| "learning_rate": 8.915516874188124e-06, | |
| "loss": 2.9576675415039064, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "eval_accuracy": 0.38471705931636907, | |
| "eval_loss": 3.275611639022827, | |
| "eval_runtime": 8.6293, | |
| "eval_samples_per_second": 224.931, | |
| "eval_steps_per_second": 14.138, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 0.302, | |
| "grad_norm": 0.14045824110507965, | |
| "learning_rate": 8.332875177992472e-06, | |
| "loss": 2.9552996826171873, | |
| "step": 47100 | |
| }, | |
| { | |
| "epoch": 0.304, | |
| "grad_norm": 0.14749419689178467, | |
| "learning_rate": 7.769760644864899e-06, | |
| "loss": 2.9305706787109376, | |
| "step": 47200 | |
| }, | |
| { | |
| "epoch": 0.306, | |
| "grad_norm": 0.144828200340271, | |
| "learning_rate": 7.2261956395899274e-06, | |
| "loss": 2.9670144653320314, | |
| "step": 47300 | |
| }, | |
| { | |
| "epoch": 0.308, | |
| "grad_norm": 0.15692554414272308, | |
| "learning_rate": 6.702201750518666e-06, | |
| "loss": 2.979140319824219, | |
| "step": 47400 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 0.16095846891403198, | |
| "learning_rate": 6.197799788711267e-06, | |
| "loss": 2.9376812744140626, | |
| "step": 47500 | |
| }, | |
| { | |
| "epoch": 0.312, | |
| "grad_norm": 0.1510581076145172, | |
| "learning_rate": 5.713009787110424e-06, | |
| "loss": 2.9954681396484375, | |
| "step": 47600 | |
| }, | |
| { | |
| "epoch": 0.314, | |
| "grad_norm": 0.15443721413612366, | |
| "learning_rate": 5.247850999745951e-06, | |
| "loss": 2.9577410888671873, | |
| "step": 47700 | |
| }, | |
| { | |
| "epoch": 0.316, | |
| "grad_norm": 0.14504078030586243, | |
| "learning_rate": 4.80234190096962e-06, | |
| "loss": 2.9848419189453126, | |
| "step": 47800 | |
| }, | |
| { | |
| "epoch": 0.318, | |
| "grad_norm": 0.14038383960723877, | |
| "learning_rate": 4.37650018472191e-06, | |
| "loss": 2.9577120971679687, | |
| "step": 47900 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 0.17559103667736053, | |
| "learning_rate": 3.970342763829071e-06, | |
| "loss": 2.95732421875, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "eval_accuracy": 0.3846958867813815, | |
| "eval_loss": 3.275059223175049, | |
| "eval_runtime": 11.741, | |
| "eval_samples_per_second": 165.318, | |
| "eval_steps_per_second": 10.391, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 0.322, | |
| "grad_norm": 0.1336028277873993, | |
| "learning_rate": 3.583885769331385e-06, | |
| "loss": 2.9611053466796875, | |
| "step": 48100 | |
| }, | |
| { | |
| "epoch": 0.324, | |
| "grad_norm": 0.14741460978984833, | |
| "learning_rate": 3.2171445498424545e-06, | |
| "loss": 2.9574826049804686, | |
| "step": 48200 | |
| }, | |
| { | |
| "epoch": 0.326, | |
| "grad_norm": 0.1761571615934372, | |
| "learning_rate": 2.870133670939745e-06, | |
| "loss": 2.937596435546875, | |
| "step": 48300 | |
| }, | |
| { | |
| "epoch": 0.328, | |
| "grad_norm": 0.1392708420753479, | |
| "learning_rate": 2.542866914586106e-06, | |
| "loss": 2.9430572509765627, | |
| "step": 48400 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 0.1438605785369873, | |
| "learning_rate": 2.2353572785822065e-06, | |
| "loss": 2.9703692626953124, | |
| "step": 48500 | |
| }, | |
| { | |
| "epoch": 0.332, | |
| "grad_norm": 0.14872929453849792, | |
| "learning_rate": 1.9476169760506144e-06, | |
| "loss": 2.967200927734375, | |
| "step": 48600 | |
| }, | |
| { | |
| "epoch": 0.334, | |
| "grad_norm": 0.15221774578094482, | |
| "learning_rate": 1.6796574349503546e-06, | |
| "loss": 2.975442199707031, | |
| "step": 48700 | |
| }, | |
| { | |
| "epoch": 0.336, | |
| "grad_norm": 0.1402570754289627, | |
| "learning_rate": 1.4314892976233784e-06, | |
| "loss": 2.952536926269531, | |
| "step": 48800 | |
| }, | |
| { | |
| "epoch": 0.338, | |
| "grad_norm": 0.13577665388584137, | |
| "learning_rate": 1.2031224203717384e-06, | |
| "loss": 2.977938537597656, | |
| "step": 48900 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 0.143800750374794, | |
| "learning_rate": 9.945658730661778e-07, | |
| "loss": 2.9537298583984377, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "eval_accuracy": 0.3848007412403678, | |
| "eval_loss": 3.274916172027588, | |
| "eval_runtime": 8.7987, | |
| "eval_samples_per_second": 220.6, | |
| "eval_steps_per_second": 13.866, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 0.342, | |
| "grad_norm": 0.1486690193414688, | |
| "learning_rate": 8.05827938785808e-07, | |
| "loss": 2.9592388916015624, | |
| "step": 49100 | |
| }, | |
| { | |
| "epoch": 0.344, | |
| "grad_norm": 0.14764626324176788, | |
| "learning_rate": 6.369161134892055e-07, | |
| "loss": 2.9477633666992187, | |
| "step": 49200 | |
| }, | |
| { | |
| "epoch": 0.346, | |
| "grad_norm": 0.15068262815475464, | |
| "learning_rate": 4.878371057168151e-07, | |
| "loss": 2.933819580078125, | |
| "step": 49300 | |
| }, | |
| { | |
| "epoch": 0.348, | |
| "grad_norm": 0.13414137065410614, | |
| "learning_rate": 3.585968363242209e-07, | |
| "loss": 2.9506927490234376, | |
| "step": 49400 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 0.16431079804897308, | |
| "learning_rate": 2.492004382474433e-07, | |
| "loss": 2.9817596435546876, | |
| "step": 49500 | |
| }, | |
| { | |
| "epoch": 0.352, | |
| "grad_norm": 0.1382792890071869, | |
| "learning_rate": 1.5965225629849257e-07, | |
| "loss": 2.9758001708984376, | |
| "step": 49600 | |
| }, | |
| { | |
| "epoch": 0.354, | |
| "grad_norm": 0.13877373933792114, | |
| "learning_rate": 8.995584699333925e-08, | |
| "loss": 2.950361633300781, | |
| "step": 49700 | |
| }, | |
| { | |
| "epoch": 0.356, | |
| "grad_norm": 0.1560918092727661, | |
| "learning_rate": 4.011397841041653e-08, | |
| "loss": 2.9428829956054687, | |
| "step": 49800 | |
| }, | |
| { | |
| "epoch": 0.358, | |
| "grad_norm": 0.1353323608636856, | |
| "learning_rate": 1.0128630080652456e-08, | |
| "loss": 2.9610910034179687, | |
| "step": 49900 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 0.18417476117610931, | |
| "learning_rate": 9.929089772597876e-13, | |
| "loss": 2.9677053833007814, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_accuracy": 0.38479065908084986, | |
| "eval_loss": 3.274902820587158, | |
| "eval_runtime": 8.7288, | |
| "eval_samples_per_second": 222.367, | |
| "eval_steps_per_second": 13.977, | |
| "step": 50000 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 50000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9223372036854775807, | |
| "save_steps": 2000, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.959980433408e+18, | |
| "train_batch_size": 120, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |