| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.881844380403458, | |
| "eval_steps": 10, | |
| "global_step": 1000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01440922190201729, | |
| "grad_norm": 0.888121485710144, | |
| "learning_rate": 0.0002988472622478386, | |
| "loss": 2.4115, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.02881844380403458, | |
| "grad_norm": 0.8970298767089844, | |
| "learning_rate": 0.00029740634005763684, | |
| "loss": 2.23, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.02881844380403458, | |
| "eval_loss": 2.165903091430664, | |
| "eval_runtime": 1.8407, | |
| "eval_samples_per_second": 84.207, | |
| "eval_steps_per_second": 10.865, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.043227665706051875, | |
| "grad_norm": 1.078068494796753, | |
| "learning_rate": 0.00029596541786743513, | |
| "loss": 2.0155, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.05763688760806916, | |
| "grad_norm": 1.2069385051727295, | |
| "learning_rate": 0.0002945244956772334, | |
| "loss": 1.9346, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.05763688760806916, | |
| "eval_loss": 1.7943660020828247, | |
| "eval_runtime": 1.7809, | |
| "eval_samples_per_second": 87.035, | |
| "eval_steps_per_second": 11.23, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.07204610951008646, | |
| "grad_norm": 1.3408102989196777, | |
| "learning_rate": 0.0002930835734870317, | |
| "loss": 1.7434, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.08645533141210375, | |
| "grad_norm": 1.4849472045898438, | |
| "learning_rate": 0.00029164265129682994, | |
| "loss": 1.5409, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.08645533141210375, | |
| "eval_loss": 1.5225533246994019, | |
| "eval_runtime": 1.7657, | |
| "eval_samples_per_second": 87.784, | |
| "eval_steps_per_second": 11.327, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.10086455331412104, | |
| "grad_norm": 2.2489142417907715, | |
| "learning_rate": 0.0002902017291066282, | |
| "loss": 1.4702, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.11527377521613832, | |
| "grad_norm": 2.169492244720459, | |
| "learning_rate": 0.00028876080691642647, | |
| "loss": 1.398, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.11527377521613832, | |
| "eval_loss": 1.3084412813186646, | |
| "eval_runtime": 1.7715, | |
| "eval_samples_per_second": 87.495, | |
| "eval_steps_per_second": 11.29, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.12968299711815562, | |
| "grad_norm": 2.665741205215454, | |
| "learning_rate": 0.00028731988472622475, | |
| "loss": 1.2839, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.1440922190201729, | |
| "grad_norm": 2.9897077083587646, | |
| "learning_rate": 0.00028587896253602304, | |
| "loss": 1.0893, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.1440922190201729, | |
| "eval_loss": 1.0865856409072876, | |
| "eval_runtime": 1.7767, | |
| "eval_samples_per_second": 87.241, | |
| "eval_steps_per_second": 11.257, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.1585014409221902, | |
| "grad_norm": 2.3380894660949707, | |
| "learning_rate": 0.0002844380403458213, | |
| "loss": 1.0454, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.1729106628242075, | |
| "grad_norm": 2.571589469909668, | |
| "learning_rate": 0.00028299711815561957, | |
| "loss": 0.8605, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.1729106628242075, | |
| "eval_loss": 0.8586989641189575, | |
| "eval_runtime": 1.7853, | |
| "eval_samples_per_second": 86.822, | |
| "eval_steps_per_second": 11.203, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.1873198847262248, | |
| "grad_norm": 3.0408358573913574, | |
| "learning_rate": 0.00028155619596541786, | |
| "loss": 0.8101, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.2017291066282421, | |
| "grad_norm": 2.4773292541503906, | |
| "learning_rate": 0.0002801152737752161, | |
| "loss": 0.7769, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.2017291066282421, | |
| "eval_loss": 0.6477732062339783, | |
| "eval_runtime": 1.781, | |
| "eval_samples_per_second": 87.029, | |
| "eval_steps_per_second": 11.23, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.21613832853025935, | |
| "grad_norm": 2.5505621433258057, | |
| "learning_rate": 0.0002786743515850144, | |
| "loss": 0.6286, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.23054755043227665, | |
| "grad_norm": 2.5216686725616455, | |
| "learning_rate": 0.00027723342939481267, | |
| "loss": 0.5306, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.23054755043227665, | |
| "eval_loss": 0.4904349446296692, | |
| "eval_runtime": 1.7712, | |
| "eval_samples_per_second": 87.51, | |
| "eval_steps_per_second": 11.292, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.24495677233429394, | |
| "grad_norm": 3.0844411849975586, | |
| "learning_rate": 0.00027579250720461096, | |
| "loss": 0.5331, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.25936599423631124, | |
| "grad_norm": 1.8952299356460571, | |
| "learning_rate": 0.0002743515850144092, | |
| "loss": 0.4093, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.25936599423631124, | |
| "eval_loss": 0.40096166729927063, | |
| "eval_runtime": 1.773, | |
| "eval_samples_per_second": 87.422, | |
| "eval_steps_per_second": 11.28, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.2737752161383285, | |
| "grad_norm": 3.3445639610290527, | |
| "learning_rate": 0.0002729106628242075, | |
| "loss": 0.3654, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.2881844380403458, | |
| "grad_norm": 1.9506555795669556, | |
| "learning_rate": 0.0002714697406340057, | |
| "loss": 0.3458, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2881844380403458, | |
| "eval_loss": 0.32525885105133057, | |
| "eval_runtime": 1.7918, | |
| "eval_samples_per_second": 86.503, | |
| "eval_steps_per_second": 11.162, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.3025936599423631, | |
| "grad_norm": 1.9951375722885132, | |
| "learning_rate": 0.000270028818443804, | |
| "loss": 0.2672, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.3170028818443804, | |
| "grad_norm": 2.8618788719177246, | |
| "learning_rate": 0.0002685878962536023, | |
| "loss": 0.3316, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.3170028818443804, | |
| "eval_loss": 0.29092785716056824, | |
| "eval_runtime": 1.7704, | |
| "eval_samples_per_second": 87.549, | |
| "eval_steps_per_second": 11.297, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.3314121037463977, | |
| "grad_norm": 2.436544179916382, | |
| "learning_rate": 0.00026714697406340053, | |
| "loss": 0.3176, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.345821325648415, | |
| "grad_norm": 1.1800215244293213, | |
| "learning_rate": 0.0002657060518731988, | |
| "loss": 0.2378, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.345821325648415, | |
| "eval_loss": 0.25983747839927673, | |
| "eval_runtime": 1.7719, | |
| "eval_samples_per_second": 87.476, | |
| "eval_steps_per_second": 11.287, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.36023054755043227, | |
| "grad_norm": 1.0937371253967285, | |
| "learning_rate": 0.0002642651296829971, | |
| "loss": 0.2617, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.3746397694524496, | |
| "grad_norm": 1.5132169723510742, | |
| "learning_rate": 0.0002628242074927954, | |
| "loss": 0.2669, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.3746397694524496, | |
| "eval_loss": 0.2434806078672409, | |
| "eval_runtime": 1.7851, | |
| "eval_samples_per_second": 86.831, | |
| "eval_steps_per_second": 11.204, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.38904899135446686, | |
| "grad_norm": 1.4011964797973633, | |
| "learning_rate": 0.00026138328530259363, | |
| "loss": 0.2684, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.4034582132564842, | |
| "grad_norm": 1.3246668577194214, | |
| "learning_rate": 0.0002599423631123919, | |
| "loss": 0.2377, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.4034582132564842, | |
| "eval_loss": 0.2348952293395996, | |
| "eval_runtime": 1.7807, | |
| "eval_samples_per_second": 87.042, | |
| "eval_steps_per_second": 11.231, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.41786743515850144, | |
| "grad_norm": 2.753978967666626, | |
| "learning_rate": 0.0002585014409221902, | |
| "loss": 0.2716, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.4322766570605187, | |
| "grad_norm": 0.8502065539360046, | |
| "learning_rate": 0.00025706051873198844, | |
| "loss": 0.2282, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.4322766570605187, | |
| "eval_loss": 0.23007912933826447, | |
| "eval_runtime": 1.766, | |
| "eval_samples_per_second": 87.771, | |
| "eval_steps_per_second": 11.325, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.44668587896253603, | |
| "grad_norm": 1.0703223943710327, | |
| "learning_rate": 0.00025561959654178673, | |
| "loss": 0.2374, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.4610951008645533, | |
| "grad_norm": 0.7980679869651794, | |
| "learning_rate": 0.00025417867435158497, | |
| "loss": 0.2151, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.4610951008645533, | |
| "eval_loss": 0.23066848516464233, | |
| "eval_runtime": 1.7821, | |
| "eval_samples_per_second": 86.978, | |
| "eval_steps_per_second": 11.223, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.4755043227665706, | |
| "grad_norm": 1.1535905599594116, | |
| "learning_rate": 0.00025273775216138326, | |
| "loss": 0.2086, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.4899135446685879, | |
| "grad_norm": 0.9484102725982666, | |
| "learning_rate": 0.00025129682997118155, | |
| "loss": 0.2127, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.4899135446685879, | |
| "eval_loss": 0.2209121137857437, | |
| "eval_runtime": 1.7727, | |
| "eval_samples_per_second": 87.439, | |
| "eval_steps_per_second": 11.283, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.5043227665706052, | |
| "grad_norm": 0.9559063911437988, | |
| "learning_rate": 0.0002498559077809798, | |
| "loss": 0.2134, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.5187319884726225, | |
| "grad_norm": 0.66960209608078, | |
| "learning_rate": 0.00024841498559077807, | |
| "loss": 0.2555, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.5187319884726225, | |
| "eval_loss": 0.21855449676513672, | |
| "eval_runtime": 1.7887, | |
| "eval_samples_per_second": 86.654, | |
| "eval_steps_per_second": 11.181, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.5331412103746398, | |
| "grad_norm": 0.6968249082565308, | |
| "learning_rate": 0.00024697406340057636, | |
| "loss": 0.2199, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.547550432276657, | |
| "grad_norm": 0.6100601553916931, | |
| "learning_rate": 0.00024553314121037465, | |
| "loss": 0.2348, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.547550432276657, | |
| "eval_loss": 0.21677546203136444, | |
| "eval_runtime": 1.7784, | |
| "eval_samples_per_second": 87.156, | |
| "eval_steps_per_second": 11.246, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.5619596541786743, | |
| "grad_norm": 0.6942987442016602, | |
| "learning_rate": 0.00024409221902017288, | |
| "loss": 0.2165, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.5763688760806917, | |
| "grad_norm": 0.8180645704269409, | |
| "learning_rate": 0.00024265129682997117, | |
| "loss": 0.2141, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5763688760806917, | |
| "eval_loss": 0.21652507781982422, | |
| "eval_runtime": 1.7751, | |
| "eval_samples_per_second": 87.319, | |
| "eval_steps_per_second": 11.267, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.590778097982709, | |
| "grad_norm": 0.6298684477806091, | |
| "learning_rate": 0.00024121037463976943, | |
| "loss": 0.2261, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 0.6051873198847262, | |
| "grad_norm": 2.6468467712402344, | |
| "learning_rate": 0.0002397694524495677, | |
| "loss": 0.245, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.6051873198847262, | |
| "eval_loss": 0.2188318818807602, | |
| "eval_runtime": 1.7737, | |
| "eval_samples_per_second": 87.389, | |
| "eval_steps_per_second": 11.276, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.6195965417867435, | |
| "grad_norm": 0.6621644496917725, | |
| "learning_rate": 0.00023832853025936598, | |
| "loss": 0.1866, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 0.6340057636887608, | |
| "grad_norm": 0.5494632124900818, | |
| "learning_rate": 0.00023688760806916425, | |
| "loss": 0.2128, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.6340057636887608, | |
| "eval_loss": 0.21284270286560059, | |
| "eval_runtime": 1.787, | |
| "eval_samples_per_second": 86.739, | |
| "eval_steps_per_second": 11.192, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.6484149855907781, | |
| "grad_norm": 0.5896772146224976, | |
| "learning_rate": 0.00023544668587896253, | |
| "loss": 0.2266, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.6628242074927954, | |
| "grad_norm": 0.45764079689979553, | |
| "learning_rate": 0.0002340057636887608, | |
| "loss": 0.2393, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.6628242074927954, | |
| "eval_loss": 0.21253199875354767, | |
| "eval_runtime": 1.7769, | |
| "eval_samples_per_second": 87.232, | |
| "eval_steps_per_second": 11.256, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.6772334293948127, | |
| "grad_norm": 0.699612557888031, | |
| "learning_rate": 0.00023256484149855909, | |
| "loss": 0.2517, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 0.69164265129683, | |
| "grad_norm": 0.42438164353370667, | |
| "learning_rate": 0.00023112391930835732, | |
| "loss": 0.2016, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.69164265129683, | |
| "eval_loss": 0.21218827366828918, | |
| "eval_runtime": 1.7865, | |
| "eval_samples_per_second": 86.762, | |
| "eval_steps_per_second": 11.195, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.7060518731988472, | |
| "grad_norm": 0.5191032886505127, | |
| "learning_rate": 0.00022968299711815558, | |
| "loss": 0.2218, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 0.7204610951008645, | |
| "grad_norm": 0.5536476969718933, | |
| "learning_rate": 0.00022824207492795387, | |
| "loss": 0.2145, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.7204610951008645, | |
| "eval_loss": 0.2105206400156021, | |
| "eval_runtime": 1.8096, | |
| "eval_samples_per_second": 85.654, | |
| "eval_steps_per_second": 11.052, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.7348703170028819, | |
| "grad_norm": 0.5729750394821167, | |
| "learning_rate": 0.00022680115273775213, | |
| "loss": 0.2356, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 0.7492795389048992, | |
| "grad_norm": 0.442891389131546, | |
| "learning_rate": 0.00022536023054755042, | |
| "loss": 0.203, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.7492795389048992, | |
| "eval_loss": 0.20932228863239288, | |
| "eval_runtime": 1.77, | |
| "eval_samples_per_second": 87.57, | |
| "eval_steps_per_second": 11.299, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.7636887608069164, | |
| "grad_norm": 0.556273341178894, | |
| "learning_rate": 0.00022391930835734868, | |
| "loss": 0.2092, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 0.7780979827089337, | |
| "grad_norm": 0.461923211812973, | |
| "learning_rate": 0.00022247838616714695, | |
| "loss": 0.2116, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.7780979827089337, | |
| "eval_loss": 0.2080857753753662, | |
| "eval_runtime": 1.7792, | |
| "eval_samples_per_second": 87.12, | |
| "eval_steps_per_second": 11.241, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.792507204610951, | |
| "grad_norm": 0.5841118693351746, | |
| "learning_rate": 0.00022103746397694523, | |
| "loss": 0.2244, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 0.8069164265129684, | |
| "grad_norm": 0.5412226319313049, | |
| "learning_rate": 0.0002195965417867435, | |
| "loss": 0.1943, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.8069164265129684, | |
| "eval_loss": 0.208485409617424, | |
| "eval_runtime": 1.7916, | |
| "eval_samples_per_second": 86.515, | |
| "eval_steps_per_second": 11.163, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.8213256484149856, | |
| "grad_norm": 0.5236246585845947, | |
| "learning_rate": 0.00021815561959654179, | |
| "loss": 0.2243, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 0.8357348703170029, | |
| "grad_norm": 0.48271429538726807, | |
| "learning_rate": 0.00021671469740634002, | |
| "loss": 0.2123, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.8357348703170029, | |
| "eval_loss": 0.20807716250419617, | |
| "eval_runtime": 1.7753, | |
| "eval_samples_per_second": 87.308, | |
| "eval_steps_per_second": 11.266, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.8501440922190202, | |
| "grad_norm": 0.4914911985397339, | |
| "learning_rate": 0.0002152737752161383, | |
| "loss": 0.2252, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 0.8645533141210374, | |
| "grad_norm": 0.46419402956962585, | |
| "learning_rate": 0.00021383285302593657, | |
| "loss": 0.1999, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.8645533141210374, | |
| "eval_loss": 0.20786339044570923, | |
| "eval_runtime": 1.7845, | |
| "eval_samples_per_second": 86.858, | |
| "eval_steps_per_second": 11.208, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.8789625360230547, | |
| "grad_norm": 0.540306568145752, | |
| "learning_rate": 0.00021239193083573483, | |
| "loss": 0.1856, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 0.8933717579250721, | |
| "grad_norm": 0.46772050857543945, | |
| "learning_rate": 0.00021095100864553312, | |
| "loss": 0.2185, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.8933717579250721, | |
| "eval_loss": 0.20842696726322174, | |
| "eval_runtime": 1.7693, | |
| "eval_samples_per_second": 87.604, | |
| "eval_steps_per_second": 11.304, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.9077809798270894, | |
| "grad_norm": 0.5399373173713684, | |
| "learning_rate": 0.00020951008645533138, | |
| "loss": 0.2108, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 0.9221902017291066, | |
| "grad_norm": 0.5167156457901001, | |
| "learning_rate": 0.00020806916426512967, | |
| "loss": 0.2364, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.9221902017291066, | |
| "eval_loss": 0.2061736136674881, | |
| "eval_runtime": 1.7797, | |
| "eval_samples_per_second": 87.095, | |
| "eval_steps_per_second": 11.238, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.9365994236311239, | |
| "grad_norm": 0.5894590616226196, | |
| "learning_rate": 0.00020662824207492793, | |
| "loss": 0.2185, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.9510086455331412, | |
| "grad_norm": 0.4573725163936615, | |
| "learning_rate": 0.00020518731988472622, | |
| "loss": 0.2109, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.9510086455331412, | |
| "eval_loss": 0.20550554990768433, | |
| "eval_runtime": 1.787, | |
| "eval_samples_per_second": 86.736, | |
| "eval_steps_per_second": 11.192, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.9654178674351584, | |
| "grad_norm": 0.4973134696483612, | |
| "learning_rate": 0.00020374639769452449, | |
| "loss": 0.2354, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 0.9798270893371758, | |
| "grad_norm": 0.5064740180969238, | |
| "learning_rate": 0.00020230547550432275, | |
| "loss": 0.2263, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.9798270893371758, | |
| "eval_loss": 0.20669177174568176, | |
| "eval_runtime": 1.7751, | |
| "eval_samples_per_second": 87.32, | |
| "eval_steps_per_second": 11.267, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.9942363112391931, | |
| "grad_norm": 0.6807605028152466, | |
| "learning_rate": 0.00020086455331412104, | |
| "loss": 0.1868, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 1.0086455331412103, | |
| "grad_norm": 0.551680326461792, | |
| "learning_rate": 0.00019942363112391927, | |
| "loss": 0.2149, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.0086455331412103, | |
| "eval_loss": 0.2055429071187973, | |
| "eval_runtime": 1.7741, | |
| "eval_samples_per_second": 87.371, | |
| "eval_steps_per_second": 11.274, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.0230547550432276, | |
| "grad_norm": 0.4975515902042389, | |
| "learning_rate": 0.00019798270893371756, | |
| "loss": 0.2046, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 1.037463976945245, | |
| "grad_norm": 0.55193692445755, | |
| "learning_rate": 0.00019654178674351582, | |
| "loss": 0.2091, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 1.037463976945245, | |
| "eval_loss": 0.20510512590408325, | |
| "eval_runtime": 1.785, | |
| "eval_samples_per_second": 86.835, | |
| "eval_steps_per_second": 11.205, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 1.0518731988472623, | |
| "grad_norm": 0.4859946668148041, | |
| "learning_rate": 0.0001951008645533141, | |
| "loss": 0.2124, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 1.0662824207492796, | |
| "grad_norm": 0.5230706334114075, | |
| "learning_rate": 0.00019365994236311237, | |
| "loss": 0.2044, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 1.0662824207492796, | |
| "eval_loss": 0.20450517535209656, | |
| "eval_runtime": 1.7787, | |
| "eval_samples_per_second": 87.14, | |
| "eval_steps_per_second": 11.244, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 1.080691642651297, | |
| "grad_norm": 0.4757685363292694, | |
| "learning_rate": 0.00019221902017291063, | |
| "loss": 0.2041, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 1.0951008645533142, | |
| "grad_norm": 0.47648361325263977, | |
| "learning_rate": 0.00019077809798270892, | |
| "loss": 0.2186, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 1.0951008645533142, | |
| "eval_loss": 0.2045309692621231, | |
| "eval_runtime": 1.7831, | |
| "eval_samples_per_second": 86.927, | |
| "eval_steps_per_second": 11.216, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 1.1095100864553313, | |
| "grad_norm": 0.6783398985862732, | |
| "learning_rate": 0.00018933717579250719, | |
| "loss": 0.2279, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 1.1239193083573487, | |
| "grad_norm": 0.6662940382957458, | |
| "learning_rate": 0.00018789625360230547, | |
| "loss": 0.1721, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 1.1239193083573487, | |
| "eval_loss": 0.2042209804058075, | |
| "eval_runtime": 1.7959, | |
| "eval_samples_per_second": 86.307, | |
| "eval_steps_per_second": 11.136, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 1.138328530259366, | |
| "grad_norm": 0.5504616498947144, | |
| "learning_rate": 0.00018645533141210374, | |
| "loss": 0.2167, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 1.1527377521613833, | |
| "grad_norm": 0.400045782327652, | |
| "learning_rate": 0.00018501440922190203, | |
| "loss": 0.1859, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.1527377521613833, | |
| "eval_loss": 0.20452381670475006, | |
| "eval_runtime": 1.7689, | |
| "eval_samples_per_second": 87.624, | |
| "eval_steps_per_second": 11.306, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.1671469740634006, | |
| "grad_norm": 0.4646718502044678, | |
| "learning_rate": 0.00018357348703170026, | |
| "loss": 0.1954, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 1.181556195965418, | |
| "grad_norm": 0.4777772128582001, | |
| "learning_rate": 0.00018213256484149852, | |
| "loss": 0.2099, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 1.181556195965418, | |
| "eval_loss": 0.2040420025587082, | |
| "eval_runtime": 1.7756, | |
| "eval_samples_per_second": 87.293, | |
| "eval_steps_per_second": 11.264, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 1.195965417867435, | |
| "grad_norm": 0.5278341174125671, | |
| "learning_rate": 0.0001806916426512968, | |
| "loss": 0.1911, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 1.2103746397694524, | |
| "grad_norm": 0.459689199924469, | |
| "learning_rate": 0.00017925072046109507, | |
| "loss": 0.1766, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 1.2103746397694524, | |
| "eval_loss": 0.20372864603996277, | |
| "eval_runtime": 1.7739, | |
| "eval_samples_per_second": 87.38, | |
| "eval_steps_per_second": 11.275, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 1.2247838616714697, | |
| "grad_norm": 0.5434823036193848, | |
| "learning_rate": 0.00017780979827089336, | |
| "loss": 0.186, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 1.239193083573487, | |
| "grad_norm": 0.4612482488155365, | |
| "learning_rate": 0.00017636887608069162, | |
| "loss": 0.2171, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 1.239193083573487, | |
| "eval_loss": 0.20268237590789795, | |
| "eval_runtime": 1.7749, | |
| "eval_samples_per_second": 87.328, | |
| "eval_steps_per_second": 11.268, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 1.2536023054755043, | |
| "grad_norm": 0.5373527407646179, | |
| "learning_rate": 0.0001749279538904899, | |
| "loss": 0.2306, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 1.2680115273775217, | |
| "grad_norm": 0.6169385313987732, | |
| "learning_rate": 0.00017348703170028817, | |
| "loss": 0.2243, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 1.2680115273775217, | |
| "eval_loss": 0.2024766057729721, | |
| "eval_runtime": 1.7891, | |
| "eval_samples_per_second": 86.635, | |
| "eval_steps_per_second": 11.179, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 1.282420749279539, | |
| "grad_norm": 0.49312788248062134, | |
| "learning_rate": 0.00017204610951008644, | |
| "loss": 0.1845, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 1.2968299711815563, | |
| "grad_norm": 0.4392940402030945, | |
| "learning_rate": 0.00017060518731988473, | |
| "loss": 0.2133, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.2968299711815563, | |
| "eval_loss": 0.20215217769145966, | |
| "eval_runtime": 1.7855, | |
| "eval_samples_per_second": 86.811, | |
| "eval_steps_per_second": 11.201, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.3112391930835736, | |
| "grad_norm": 0.5321723818778992, | |
| "learning_rate": 0.000169164265129683, | |
| "loss": 0.1973, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 1.3256484149855907, | |
| "grad_norm": 0.46987223625183105, | |
| "learning_rate": 0.00016772334293948128, | |
| "loss": 0.1694, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 1.3256484149855907, | |
| "eval_loss": 0.20472992956638336, | |
| "eval_runtime": 1.7828, | |
| "eval_samples_per_second": 86.942, | |
| "eval_steps_per_second": 11.218, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 1.340057636887608, | |
| "grad_norm": 0.5288825631141663, | |
| "learning_rate": 0.0001662824207492795, | |
| "loss": 0.1892, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 1.3544668587896254, | |
| "grad_norm": 0.5629428029060364, | |
| "learning_rate": 0.0001648414985590778, | |
| "loss": 0.189, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 1.3544668587896254, | |
| "eval_loss": 0.20317500829696655, | |
| "eval_runtime": 1.7746, | |
| "eval_samples_per_second": 87.341, | |
| "eval_steps_per_second": 11.27, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 1.3688760806916427, | |
| "grad_norm": 0.4766279458999634, | |
| "learning_rate": 0.00016340057636887606, | |
| "loss": 0.1788, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 1.38328530259366, | |
| "grad_norm": 0.43711772561073303, | |
| "learning_rate": 0.00016195965417867432, | |
| "loss": 0.2054, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 1.38328530259366, | |
| "eval_loss": 0.20241950452327728, | |
| "eval_runtime": 1.7822, | |
| "eval_samples_per_second": 86.97, | |
| "eval_steps_per_second": 11.222, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 1.397694524495677, | |
| "grad_norm": 0.6571159958839417, | |
| "learning_rate": 0.0001605187319884726, | |
| "loss": 0.1953, | |
| "step": 485 | |
| }, | |
| { | |
| "epoch": 1.4121037463976944, | |
| "grad_norm": 0.5928535461425781, | |
| "learning_rate": 0.00015907780979827087, | |
| "loss": 0.2118, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 1.4121037463976944, | |
| "eval_loss": 0.20221129059791565, | |
| "eval_runtime": 1.7713, | |
| "eval_samples_per_second": 87.504, | |
| "eval_steps_per_second": 11.291, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 1.4265129682997117, | |
| "grad_norm": 0.5120033025741577, | |
| "learning_rate": 0.00015763688760806916, | |
| "loss": 0.2251, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 1.440922190201729, | |
| "grad_norm": 0.5128481388092041, | |
| "learning_rate": 0.00015619596541786743, | |
| "loss": 0.2221, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.440922190201729, | |
| "eval_loss": 0.20349927246570587, | |
| "eval_runtime": 1.7928, | |
| "eval_samples_per_second": 86.457, | |
| "eval_steps_per_second": 11.156, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.4553314121037464, | |
| "grad_norm": 0.4616795480251312, | |
| "learning_rate": 0.0001547550432276657, | |
| "loss": 0.2036, | |
| "step": 505 | |
| }, | |
| { | |
| "epoch": 1.4697406340057637, | |
| "grad_norm": 0.5091164112091064, | |
| "learning_rate": 0.00015331412103746398, | |
| "loss": 0.2036, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 1.4697406340057637, | |
| "eval_loss": 0.2018601894378662, | |
| "eval_runtime": 1.8038, | |
| "eval_samples_per_second": 85.928, | |
| "eval_steps_per_second": 11.088, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 1.484149855907781, | |
| "grad_norm": 0.48645836114883423, | |
| "learning_rate": 0.0001518731988472622, | |
| "loss": 0.2059, | |
| "step": 515 | |
| }, | |
| { | |
| "epoch": 1.4985590778097984, | |
| "grad_norm": 0.46957656741142273, | |
| "learning_rate": 0.0001504322766570605, | |
| "loss": 0.2032, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 1.4985590778097984, | |
| "eval_loss": 0.2017858922481537, | |
| "eval_runtime": 1.7969, | |
| "eval_samples_per_second": 86.26, | |
| "eval_steps_per_second": 11.13, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 1.5129682997118157, | |
| "grad_norm": 0.47207146883010864, | |
| "learning_rate": 0.00014899135446685876, | |
| "loss": 0.2121, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 1.527377521613833, | |
| "grad_norm": 0.4411737024784088, | |
| "learning_rate": 0.00014755043227665705, | |
| "loss": 0.2045, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 1.527377521613833, | |
| "eval_loss": 0.20163200795650482, | |
| "eval_runtime": 1.7919, | |
| "eval_samples_per_second": 86.499, | |
| "eval_steps_per_second": 11.161, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 1.54178674351585, | |
| "grad_norm": 0.5532639026641846, | |
| "learning_rate": 0.0001461095100864553, | |
| "loss": 0.2184, | |
| "step": 535 | |
| }, | |
| { | |
| "epoch": 1.5561959654178674, | |
| "grad_norm": 0.3798025846481323, | |
| "learning_rate": 0.0001446685878962536, | |
| "loss": 0.1842, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.5561959654178674, | |
| "eval_loss": 0.20085880160331726, | |
| "eval_runtime": 1.7882, | |
| "eval_samples_per_second": 86.68, | |
| "eval_steps_per_second": 11.185, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.5706051873198847, | |
| "grad_norm": 0.37717685103416443, | |
| "learning_rate": 0.00014322766570605186, | |
| "loss": 0.18, | |
| "step": 545 | |
| }, | |
| { | |
| "epoch": 1.585014409221902, | |
| "grad_norm": 0.3843863606452942, | |
| "learning_rate": 0.00014178674351585013, | |
| "loss": 0.1884, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.585014409221902, | |
| "eval_loss": 0.20081885159015656, | |
| "eval_runtime": 1.7697, | |
| "eval_samples_per_second": 87.587, | |
| "eval_steps_per_second": 11.302, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.5994236311239192, | |
| "grad_norm": 0.44589126110076904, | |
| "learning_rate": 0.00014034582132564841, | |
| "loss": 0.2239, | |
| "step": 555 | |
| }, | |
| { | |
| "epoch": 1.6138328530259365, | |
| "grad_norm": 0.47011956572532654, | |
| "learning_rate": 0.00013890489913544668, | |
| "loss": 0.1746, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 1.6138328530259365, | |
| "eval_loss": 0.20064498484134674, | |
| "eval_runtime": 1.7785, | |
| "eval_samples_per_second": 87.153, | |
| "eval_steps_per_second": 11.246, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 1.6282420749279538, | |
| "grad_norm": 0.4640989899635315, | |
| "learning_rate": 0.00013746397694524494, | |
| "loss": 0.1897, | |
| "step": 565 | |
| }, | |
| { | |
| "epoch": 1.6426512968299711, | |
| "grad_norm": 0.4140304625034332, | |
| "learning_rate": 0.00013602305475504323, | |
| "loss": 0.2143, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 1.6426512968299711, | |
| "eval_loss": 0.20059892535209656, | |
| "eval_runtime": 1.7771, | |
| "eval_samples_per_second": 87.22, | |
| "eval_steps_per_second": 11.254, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 1.6570605187319885, | |
| "grad_norm": 0.5634166598320007, | |
| "learning_rate": 0.0001345821325648415, | |
| "loss": 0.1838, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 1.6714697406340058, | |
| "grad_norm": 0.4056183993816376, | |
| "learning_rate": 0.00013314121037463975, | |
| "loss": 0.1843, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 1.6714697406340058, | |
| "eval_loss": 0.20035365223884583, | |
| "eval_runtime": 1.7767, | |
| "eval_samples_per_second": 87.241, | |
| "eval_steps_per_second": 11.257, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 1.685878962536023, | |
| "grad_norm": 0.4725261628627777, | |
| "learning_rate": 0.00013170028818443804, | |
| "loss": 0.2345, | |
| "step": 585 | |
| }, | |
| { | |
| "epoch": 1.7002881844380404, | |
| "grad_norm": 0.4181499481201172, | |
| "learning_rate": 0.0001302593659942363, | |
| "loss": 0.2028, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 1.7002881844380404, | |
| "eval_loss": 0.2000962197780609, | |
| "eval_runtime": 1.781, | |
| "eval_samples_per_second": 87.028, | |
| "eval_steps_per_second": 11.229, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 1.7146974063400577, | |
| "grad_norm": 0.5479499101638794, | |
| "learning_rate": 0.00012881844380403456, | |
| "loss": 0.2121, | |
| "step": 595 | |
| }, | |
| { | |
| "epoch": 1.729106628242075, | |
| "grad_norm": 0.49796512722969055, | |
| "learning_rate": 0.00012737752161383283, | |
| "loss": 0.1993, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.729106628242075, | |
| "eval_loss": 0.2000320702791214, | |
| "eval_runtime": 1.7839, | |
| "eval_samples_per_second": 86.888, | |
| "eval_steps_per_second": 11.211, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.7435158501440924, | |
| "grad_norm": 0.4585292339324951, | |
| "learning_rate": 0.00012593659942363111, | |
| "loss": 0.1885, | |
| "step": 605 | |
| }, | |
| { | |
| "epoch": 1.7579250720461095, | |
| "grad_norm": 0.5045236945152283, | |
| "learning_rate": 0.00012449567723342938, | |
| "loss": 0.2005, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 1.7579250720461095, | |
| "eval_loss": 0.19937343895435333, | |
| "eval_runtime": 1.7792, | |
| "eval_samples_per_second": 87.119, | |
| "eval_steps_per_second": 11.241, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 1.7723342939481268, | |
| "grad_norm": 0.4200640022754669, | |
| "learning_rate": 0.00012305475504322767, | |
| "loss": 0.2043, | |
| "step": 615 | |
| }, | |
| { | |
| "epoch": 1.7867435158501441, | |
| "grad_norm": 0.44112369418144226, | |
| "learning_rate": 0.00012161383285302593, | |
| "loss": 0.2055, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.7867435158501441, | |
| "eval_loss": 0.19952693581581116, | |
| "eval_runtime": 1.7818, | |
| "eval_samples_per_second": 86.993, | |
| "eval_steps_per_second": 11.225, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.8011527377521612, | |
| "grad_norm": 0.4573463499546051, | |
| "learning_rate": 0.00012017291066282419, | |
| "loss": 0.1886, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 1.8155619596541785, | |
| "grad_norm": 0.4851074516773224, | |
| "learning_rate": 0.00011873198847262246, | |
| "loss": 0.1967, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 1.8155619596541785, | |
| "eval_loss": 0.19990864396095276, | |
| "eval_runtime": 1.7816, | |
| "eval_samples_per_second": 87.0, | |
| "eval_steps_per_second": 11.226, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 1.8299711815561959, | |
| "grad_norm": 0.4560496509075165, | |
| "learning_rate": 0.00011729106628242074, | |
| "loss": 0.2134, | |
| "step": 635 | |
| }, | |
| { | |
| "epoch": 1.8443804034582132, | |
| "grad_norm": 0.5062277317047119, | |
| "learning_rate": 0.00011585014409221902, | |
| "loss": 0.1999, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.8443804034582132, | |
| "eval_loss": 0.19952501356601715, | |
| "eval_runtime": 1.7865, | |
| "eval_samples_per_second": 86.762, | |
| "eval_steps_per_second": 11.195, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.8587896253602305, | |
| "grad_norm": 0.5651894807815552, | |
| "learning_rate": 0.00011440922190201728, | |
| "loss": 0.203, | |
| "step": 645 | |
| }, | |
| { | |
| "epoch": 1.8731988472622478, | |
| "grad_norm": 0.4294355809688568, | |
| "learning_rate": 0.00011296829971181555, | |
| "loss": 0.1899, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.8731988472622478, | |
| "eval_loss": 0.19932051002979279, | |
| "eval_runtime": 1.7807, | |
| "eval_samples_per_second": 87.044, | |
| "eval_steps_per_second": 11.231, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.8876080691642652, | |
| "grad_norm": 0.49073395133018494, | |
| "learning_rate": 0.00011152737752161383, | |
| "loss": 0.1719, | |
| "step": 655 | |
| }, | |
| { | |
| "epoch": 1.9020172910662825, | |
| "grad_norm": 0.5511584877967834, | |
| "learning_rate": 0.00011008645533141209, | |
| "loss": 0.1819, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.9020172910662825, | |
| "eval_loss": 0.19900086522102356, | |
| "eval_runtime": 1.7807, | |
| "eval_samples_per_second": 87.044, | |
| "eval_steps_per_second": 11.232, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.9164265129682998, | |
| "grad_norm": 0.5805220007896423, | |
| "learning_rate": 0.00010864553314121037, | |
| "loss": 0.2017, | |
| "step": 665 | |
| }, | |
| { | |
| "epoch": 1.9308357348703171, | |
| "grad_norm": 0.44642174243927, | |
| "learning_rate": 0.00010720461095100864, | |
| "loss": 0.1737, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 1.9308357348703171, | |
| "eval_loss": 0.19866690039634705, | |
| "eval_runtime": 1.7717, | |
| "eval_samples_per_second": 87.485, | |
| "eval_steps_per_second": 11.288, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 1.9452449567723344, | |
| "grad_norm": 0.42899489402770996, | |
| "learning_rate": 0.0001057636887608069, | |
| "loss": 0.1939, | |
| "step": 675 | |
| }, | |
| { | |
| "epoch": 1.9596541786743515, | |
| "grad_norm": 0.4786996841430664, | |
| "learning_rate": 0.00010432276657060518, | |
| "loss": 0.2328, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 1.9596541786743515, | |
| "eval_loss": 0.1981932669878006, | |
| "eval_runtime": 1.7915, | |
| "eval_samples_per_second": 86.522, | |
| "eval_steps_per_second": 11.164, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 1.9740634005763689, | |
| "grad_norm": 0.44985663890838623, | |
| "learning_rate": 0.00010288184438040345, | |
| "loss": 0.1819, | |
| "step": 685 | |
| }, | |
| { | |
| "epoch": 1.9884726224783862, | |
| "grad_norm": 0.42518705129623413, | |
| "learning_rate": 0.00010144092219020172, | |
| "loss": 0.2063, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 1.9884726224783862, | |
| "eval_loss": 0.19816331565380096, | |
| "eval_runtime": 1.778, | |
| "eval_samples_per_second": 87.175, | |
| "eval_steps_per_second": 11.248, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 2.0028818443804033, | |
| "grad_norm": 0.4421190619468689, | |
| "learning_rate": 9.999999999999999e-05, | |
| "loss": 0.2381, | |
| "step": 695 | |
| }, | |
| { | |
| "epoch": 2.0172910662824206, | |
| "grad_norm": 0.44720008969306946, | |
| "learning_rate": 9.855907780979825e-05, | |
| "loss": 0.1827, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 2.0172910662824206, | |
| "eval_loss": 0.1987195909023285, | |
| "eval_runtime": 1.8003, | |
| "eval_samples_per_second": 86.095, | |
| "eval_steps_per_second": 11.109, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 2.031700288184438, | |
| "grad_norm": 0.5390461683273315, | |
| "learning_rate": 9.711815561959653e-05, | |
| "loss": 0.2097, | |
| "step": 705 | |
| }, | |
| { | |
| "epoch": 2.0461095100864553, | |
| "grad_norm": 0.4617297947406769, | |
| "learning_rate": 9.56772334293948e-05, | |
| "loss": 0.2101, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 2.0461095100864553, | |
| "eval_loss": 0.19854187965393066, | |
| "eval_runtime": 1.7961, | |
| "eval_samples_per_second": 86.299, | |
| "eval_steps_per_second": 11.135, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 2.0605187319884726, | |
| "grad_norm": 0.4737541079521179, | |
| "learning_rate": 9.423631123919308e-05, | |
| "loss": 0.208, | |
| "step": 715 | |
| }, | |
| { | |
| "epoch": 2.07492795389049, | |
| "grad_norm": 0.582775354385376, | |
| "learning_rate": 9.279538904899135e-05, | |
| "loss": 0.1854, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 2.07492795389049, | |
| "eval_loss": 0.19860170781612396, | |
| "eval_runtime": 1.7927, | |
| "eval_samples_per_second": 86.464, | |
| "eval_steps_per_second": 11.157, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 2.089337175792507, | |
| "grad_norm": 0.532686173915863, | |
| "learning_rate": 9.135446685878962e-05, | |
| "loss": 0.1972, | |
| "step": 725 | |
| }, | |
| { | |
| "epoch": 2.1037463976945245, | |
| "grad_norm": 0.5368837714195251, | |
| "learning_rate": 8.991354466858788e-05, | |
| "loss": 0.1933, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 2.1037463976945245, | |
| "eval_loss": 0.1989794820547104, | |
| "eval_runtime": 1.787, | |
| "eval_samples_per_second": 86.738, | |
| "eval_steps_per_second": 11.192, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 2.118155619596542, | |
| "grad_norm": 0.4096311032772064, | |
| "learning_rate": 8.847262247838615e-05, | |
| "loss": 0.216, | |
| "step": 735 | |
| }, | |
| { | |
| "epoch": 2.132564841498559, | |
| "grad_norm": 0.565958559513092, | |
| "learning_rate": 8.703170028818443e-05, | |
| "loss": 0.2091, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 2.132564841498559, | |
| "eval_loss": 0.1991860717535019, | |
| "eval_runtime": 1.7801, | |
| "eval_samples_per_second": 87.076, | |
| "eval_steps_per_second": 11.236, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 2.1469740634005765, | |
| "grad_norm": 0.49229133129119873, | |
| "learning_rate": 8.55907780979827e-05, | |
| "loss": 0.1869, | |
| "step": 745 | |
| }, | |
| { | |
| "epoch": 2.161383285302594, | |
| "grad_norm": 0.4366638660430908, | |
| "learning_rate": 8.414985590778098e-05, | |
| "loss": 0.1694, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 2.161383285302594, | |
| "eval_loss": 0.1993846446275711, | |
| "eval_runtime": 1.7803, | |
| "eval_samples_per_second": 87.063, | |
| "eval_steps_per_second": 11.234, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 2.175792507204611, | |
| "grad_norm": 0.5318723320960999, | |
| "learning_rate": 8.270893371757926e-05, | |
| "loss": 0.1953, | |
| "step": 755 | |
| }, | |
| { | |
| "epoch": 2.1902017291066285, | |
| "grad_norm": 0.4861218333244324, | |
| "learning_rate": 8.12680115273775e-05, | |
| "loss": 0.1721, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 2.1902017291066285, | |
| "eval_loss": 0.19942361116409302, | |
| "eval_runtime": 1.8023, | |
| "eval_samples_per_second": 86.001, | |
| "eval_steps_per_second": 11.097, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 2.2046109510086453, | |
| "grad_norm": 0.5396477580070496, | |
| "learning_rate": 7.982708933717578e-05, | |
| "loss": 0.1927, | |
| "step": 765 | |
| }, | |
| { | |
| "epoch": 2.2190201729106627, | |
| "grad_norm": 0.4643673598766327, | |
| "learning_rate": 7.838616714697405e-05, | |
| "loss": 0.1883, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 2.2190201729106627, | |
| "eval_loss": 0.19924961030483246, | |
| "eval_runtime": 1.7928, | |
| "eval_samples_per_second": 86.457, | |
| "eval_steps_per_second": 11.156, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 2.23342939481268, | |
| "grad_norm": 0.4864201545715332, | |
| "learning_rate": 7.694524495677233e-05, | |
| "loss": 0.1801, | |
| "step": 775 | |
| }, | |
| { | |
| "epoch": 2.2478386167146973, | |
| "grad_norm": 0.41535478830337524, | |
| "learning_rate": 7.55043227665706e-05, | |
| "loss": 0.1779, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 2.2478386167146973, | |
| "eval_loss": 0.19901590049266815, | |
| "eval_runtime": 1.7833, | |
| "eval_samples_per_second": 86.917, | |
| "eval_steps_per_second": 11.215, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 2.2622478386167146, | |
| "grad_norm": 0.4977608025074005, | |
| "learning_rate": 7.406340057636887e-05, | |
| "loss": 0.1801, | |
| "step": 785 | |
| }, | |
| { | |
| "epoch": 2.276657060518732, | |
| "grad_norm": 0.4228823781013489, | |
| "learning_rate": 7.262247838616714e-05, | |
| "loss": 0.1992, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 2.276657060518732, | |
| "eval_loss": 0.19835665822029114, | |
| "eval_runtime": 1.7963, | |
| "eval_samples_per_second": 86.289, | |
| "eval_steps_per_second": 11.134, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 2.2910662824207493, | |
| "grad_norm": 0.5940558314323425, | |
| "learning_rate": 7.118155619596542e-05, | |
| "loss": 0.1877, | |
| "step": 795 | |
| }, | |
| { | |
| "epoch": 2.3054755043227666, | |
| "grad_norm": 0.5785874724388123, | |
| "learning_rate": 6.974063400576368e-05, | |
| "loss": 0.1987, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 2.3054755043227666, | |
| "eval_loss": 0.19842053949832916, | |
| "eval_runtime": 1.7908, | |
| "eval_samples_per_second": 86.553, | |
| "eval_steps_per_second": 11.168, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 2.319884726224784, | |
| "grad_norm": 0.4548996388912201, | |
| "learning_rate": 6.829971181556196e-05, | |
| "loss": 0.1903, | |
| "step": 805 | |
| }, | |
| { | |
| "epoch": 2.3342939481268012, | |
| "grad_norm": 0.5720356106758118, | |
| "learning_rate": 6.685878962536023e-05, | |
| "loss": 0.1817, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 2.3342939481268012, | |
| "eval_loss": 0.19885385036468506, | |
| "eval_runtime": 1.7713, | |
| "eval_samples_per_second": 87.505, | |
| "eval_steps_per_second": 11.291, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 2.3487031700288186, | |
| "grad_norm": 0.6115606427192688, | |
| "learning_rate": 6.541786743515849e-05, | |
| "loss": 0.1793, | |
| "step": 815 | |
| }, | |
| { | |
| "epoch": 2.363112391930836, | |
| "grad_norm": 0.5724362134933472, | |
| "learning_rate": 6.397694524495677e-05, | |
| "loss": 0.2322, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 2.363112391930836, | |
| "eval_loss": 0.19859647750854492, | |
| "eval_runtime": 1.7959, | |
| "eval_samples_per_second": 86.31, | |
| "eval_steps_per_second": 11.137, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 2.377521613832853, | |
| "grad_norm": 0.5599442720413208, | |
| "learning_rate": 6.253602305475504e-05, | |
| "loss": 0.2018, | |
| "step": 825 | |
| }, | |
| { | |
| "epoch": 2.39193083573487, | |
| "grad_norm": 0.5310724377632141, | |
| "learning_rate": 6.10951008645533e-05, | |
| "loss": 0.1891, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 2.39193083573487, | |
| "eval_loss": 0.19837234914302826, | |
| "eval_runtime": 1.7902, | |
| "eval_samples_per_second": 86.584, | |
| "eval_steps_per_second": 11.172, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 2.4063400576368874, | |
| "grad_norm": 0.49322766065597534, | |
| "learning_rate": 5.9654178674351575e-05, | |
| "loss": 0.1905, | |
| "step": 835 | |
| }, | |
| { | |
| "epoch": 2.4207492795389047, | |
| "grad_norm": 0.5298819541931152, | |
| "learning_rate": 5.821325648414985e-05, | |
| "loss": 0.1884, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 2.4207492795389047, | |
| "eval_loss": 0.19790256023406982, | |
| "eval_runtime": 1.7729, | |
| "eval_samples_per_second": 87.428, | |
| "eval_steps_per_second": 11.281, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 2.435158501440922, | |
| "grad_norm": 0.4365543723106384, | |
| "learning_rate": 5.6772334293948125e-05, | |
| "loss": 0.19, | |
| "step": 845 | |
| }, | |
| { | |
| "epoch": 2.4495677233429394, | |
| "grad_norm": 0.5986719131469727, | |
| "learning_rate": 5.533141210374639e-05, | |
| "loss": 0.2034, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 2.4495677233429394, | |
| "eval_loss": 0.197686105966568, | |
| "eval_runtime": 1.7835, | |
| "eval_samples_per_second": 86.908, | |
| "eval_steps_per_second": 11.214, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 2.4639769452449567, | |
| "grad_norm": 0.4506608247756958, | |
| "learning_rate": 5.389048991354466e-05, | |
| "loss": 0.1498, | |
| "step": 855 | |
| }, | |
| { | |
| "epoch": 2.478386167146974, | |
| "grad_norm": 0.4216344654560089, | |
| "learning_rate": 5.244956772334294e-05, | |
| "loss": 0.1995, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 2.478386167146974, | |
| "eval_loss": 0.19728927314281464, | |
| "eval_runtime": 1.7891, | |
| "eval_samples_per_second": 86.636, | |
| "eval_steps_per_second": 11.179, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 2.4927953890489913, | |
| "grad_norm": 0.5227183103561401, | |
| "learning_rate": 5.100864553314121e-05, | |
| "loss": 0.1796, | |
| "step": 865 | |
| }, | |
| { | |
| "epoch": 2.5072046109510087, | |
| "grad_norm": 0.5168836712837219, | |
| "learning_rate": 4.9567723342939476e-05, | |
| "loss": 0.1684, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 2.5072046109510087, | |
| "eval_loss": 0.1969619244337082, | |
| "eval_runtime": 1.7718, | |
| "eval_samples_per_second": 87.481, | |
| "eval_steps_per_second": 11.288, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 2.521613832853026, | |
| "grad_norm": 0.4830915629863739, | |
| "learning_rate": 4.812680115273775e-05, | |
| "loss": 0.1791, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 2.5360230547550433, | |
| "grad_norm": 0.46774524450302124, | |
| "learning_rate": 4.668587896253602e-05, | |
| "loss": 0.1686, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 2.5360230547550433, | |
| "eval_loss": 0.1968482881784439, | |
| "eval_runtime": 1.7701, | |
| "eval_samples_per_second": 87.564, | |
| "eval_steps_per_second": 11.299, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 2.5504322766570606, | |
| "grad_norm": 0.5271076560020447, | |
| "learning_rate": 4.524495677233429e-05, | |
| "loss": 0.2292, | |
| "step": 885 | |
| }, | |
| { | |
| "epoch": 2.564841498559078, | |
| "grad_norm": 0.5477223992347717, | |
| "learning_rate": 4.3804034582132564e-05, | |
| "loss": 0.2002, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 2.564841498559078, | |
| "eval_loss": 0.19697827100753784, | |
| "eval_runtime": 1.7775, | |
| "eval_samples_per_second": 87.202, | |
| "eval_steps_per_second": 11.252, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 2.5792507204610953, | |
| "grad_norm": 0.5050249695777893, | |
| "learning_rate": 4.236311239193083e-05, | |
| "loss": 0.1842, | |
| "step": 895 | |
| }, | |
| { | |
| "epoch": 2.5936599423631126, | |
| "grad_norm": 0.4689369201660156, | |
| "learning_rate": 4.09221902017291e-05, | |
| "loss": 0.1989, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.5936599423631126, | |
| "eval_loss": 0.19711896777153015, | |
| "eval_runtime": 1.7779, | |
| "eval_samples_per_second": 87.181, | |
| "eval_steps_per_second": 11.249, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.60806916426513, | |
| "grad_norm": 0.4809912145137787, | |
| "learning_rate": 3.948126801152737e-05, | |
| "loss": 0.1896, | |
| "step": 905 | |
| }, | |
| { | |
| "epoch": 2.6224783861671472, | |
| "grad_norm": 0.5310996174812317, | |
| "learning_rate": 3.8040345821325645e-05, | |
| "loss": 0.1837, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 2.6224783861671472, | |
| "eval_loss": 0.19707301259040833, | |
| "eval_runtime": 1.7997, | |
| "eval_samples_per_second": 86.127, | |
| "eval_steps_per_second": 11.113, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 2.636887608069164, | |
| "grad_norm": 0.5194202065467834, | |
| "learning_rate": 3.6599423631123914e-05, | |
| "loss": 0.1965, | |
| "step": 915 | |
| }, | |
| { | |
| "epoch": 2.6512968299711814, | |
| "grad_norm": 0.5268927812576294, | |
| "learning_rate": 3.515850144092219e-05, | |
| "loss": 0.1978, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 2.6512968299711814, | |
| "eval_loss": 0.19690388441085815, | |
| "eval_runtime": 1.7802, | |
| "eval_samples_per_second": 87.069, | |
| "eval_steps_per_second": 11.235, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 2.6657060518731988, | |
| "grad_norm": 0.43076756596565247, | |
| "learning_rate": 3.371757925072046e-05, | |
| "loss": 0.1616, | |
| "step": 925 | |
| }, | |
| { | |
| "epoch": 2.680115273775216, | |
| "grad_norm": 0.4744175374507904, | |
| "learning_rate": 3.2276657060518727e-05, | |
| "loss": 0.2015, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 2.680115273775216, | |
| "eval_loss": 0.1967049390077591, | |
| "eval_runtime": 1.7776, | |
| "eval_samples_per_second": 87.198, | |
| "eval_steps_per_second": 11.251, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 2.6945244956772334, | |
| "grad_norm": 0.5074586868286133, | |
| "learning_rate": 3.0835734870317e-05, | |
| "loss": 0.2332, | |
| "step": 935 | |
| }, | |
| { | |
| "epoch": 2.7089337175792507, | |
| "grad_norm": 0.6548565030097961, | |
| "learning_rate": 2.939481268011527e-05, | |
| "loss": 0.1998, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 2.7089337175792507, | |
| "eval_loss": 0.19677585363388062, | |
| "eval_runtime": 1.7853, | |
| "eval_samples_per_second": 86.821, | |
| "eval_steps_per_second": 11.203, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 2.723342939481268, | |
| "grad_norm": 0.47033998370170593, | |
| "learning_rate": 2.7953890489913543e-05, | |
| "loss": 0.1756, | |
| "step": 945 | |
| }, | |
| { | |
| "epoch": 2.7377521613832854, | |
| "grad_norm": 0.4205470383167267, | |
| "learning_rate": 2.6512968299711815e-05, | |
| "loss": 0.1866, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 2.7377521613832854, | |
| "eval_loss": 0.1967228651046753, | |
| "eval_runtime": 1.7804, | |
| "eval_samples_per_second": 87.058, | |
| "eval_steps_per_second": 11.233, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 2.7521613832853027, | |
| "grad_norm": 0.47508129477500916, | |
| "learning_rate": 2.5072046109510083e-05, | |
| "loss": 0.1741, | |
| "step": 955 | |
| }, | |
| { | |
| "epoch": 2.76657060518732, | |
| "grad_norm": 0.412384569644928, | |
| "learning_rate": 2.3631123919308355e-05, | |
| "loss": 0.2009, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 2.76657060518732, | |
| "eval_loss": 0.1967916190624237, | |
| "eval_runtime": 1.7727, | |
| "eval_samples_per_second": 87.439, | |
| "eval_steps_per_second": 11.282, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 2.7809798270893373, | |
| "grad_norm": 0.6153486371040344, | |
| "learning_rate": 2.2190201729106624e-05, | |
| "loss": 0.2123, | |
| "step": 965 | |
| }, | |
| { | |
| "epoch": 2.795389048991354, | |
| "grad_norm": 0.4739130139350891, | |
| "learning_rate": 2.07492795389049e-05, | |
| "loss": 0.1686, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 2.795389048991354, | |
| "eval_loss": 0.19692417979240417, | |
| "eval_runtime": 1.7768, | |
| "eval_samples_per_second": 87.234, | |
| "eval_steps_per_second": 11.256, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 2.8097982708933715, | |
| "grad_norm": 0.5100451707839966, | |
| "learning_rate": 1.9308357348703168e-05, | |
| "loss": 0.1524, | |
| "step": 975 | |
| }, | |
| { | |
| "epoch": 2.824207492795389, | |
| "grad_norm": 0.4990577697753906, | |
| "learning_rate": 1.786743515850144e-05, | |
| "loss": 0.189, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 2.824207492795389, | |
| "eval_loss": 0.19698160886764526, | |
| "eval_runtime": 1.7793, | |
| "eval_samples_per_second": 87.113, | |
| "eval_steps_per_second": 11.24, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 2.838616714697406, | |
| "grad_norm": 0.5253724455833435, | |
| "learning_rate": 1.6426512968299712e-05, | |
| "loss": 0.1804, | |
| "step": 985 | |
| }, | |
| { | |
| "epoch": 2.8530259365994235, | |
| "grad_norm": 0.4607682526111603, | |
| "learning_rate": 1.4985590778097981e-05, | |
| "loss": 0.174, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 2.8530259365994235, | |
| "eval_loss": 0.19698897004127502, | |
| "eval_runtime": 1.7737, | |
| "eval_samples_per_second": 87.387, | |
| "eval_steps_per_second": 11.276, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 2.867435158501441, | |
| "grad_norm": 0.525158166885376, | |
| "learning_rate": 1.3544668587896251e-05, | |
| "loss": 0.1927, | |
| "step": 995 | |
| }, | |
| { | |
| "epoch": 2.881844380403458, | |
| "grad_norm": 0.5077706575393677, | |
| "learning_rate": 1.2103746397694523e-05, | |
| "loss": 0.1794, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.881844380403458, | |
| "eval_loss": 0.19700436294078827, | |
| "eval_runtime": 1.8163, | |
| "eval_samples_per_second": 85.339, | |
| "eval_steps_per_second": 11.012, | |
| "step": 1000 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 1041, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 10, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.2719566413103104e+16, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |