pythia-70m-wikipedia-paragraphs / trainer_state.json
agentlans's picture
Upload 10 files
9fd0cb8 verified
{
"best_metric": 4.3424248695373535,
"best_model_checkpoint": "/media/user/Expansion/pythia-70m-wikipedia-paragraphs-50epochs/checkpoint-11344",
"epoch": 50.0,
"eval_steps": 500,
"global_step": 35450,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.7052186177715092,
"grad_norm": 84.19266510009766,
"learning_rate": 4.929478138222849e-05,
"loss": 7.2253,
"num_input_tokens_seen": 4096000,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.1339588143789194,
"eval_loss": 6.6662068367004395,
"eval_runtime": 2.3283,
"eval_samples_per_second": 129.28,
"eval_steps_per_second": 16.321,
"num_input_tokens_seen": 5800960,
"step": 709
},
{
"epoch": 1.4104372355430184,
"grad_norm": 34.27415466308594,
"learning_rate": 4.858956276445699e-05,
"loss": 6.5693,
"num_input_tokens_seen": 8184832,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.13123735479324378,
"eval_loss": 6.502222061157227,
"eval_runtime": 2.5457,
"eval_samples_per_second": 118.237,
"eval_steps_per_second": 14.927,
"num_input_tokens_seen": 11601920,
"step": 1418
},
{
"epoch": 2.1156558533145273,
"grad_norm": 62.75070571899414,
"learning_rate": 4.788434414668547e-05,
"loss": 6.235,
"num_input_tokens_seen": 12273664,
"step": 1500
},
{
"epoch": 2.8208744710860367,
"grad_norm": 83.26922607421875,
"learning_rate": 4.717912552891397e-05,
"loss": 5.9786,
"num_input_tokens_seen": 16369664,
"step": 2000
},
{
"epoch": 3.0,
"eval_accuracy": 0.15382417032829637,
"eval_loss": 6.0094099044799805,
"eval_runtime": 2.2872,
"eval_samples_per_second": 131.601,
"eval_steps_per_second": 16.614,
"num_input_tokens_seen": 17402880,
"step": 2127
},
{
"epoch": 3.5260930888575457,
"grad_norm": 22.89128875732422,
"learning_rate": 4.647390691114246e-05,
"loss": 5.3855,
"num_input_tokens_seen": 20458496,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.19935828112872375,
"eval_loss": 5.0559468269348145,
"eval_runtime": 2.3199,
"eval_samples_per_second": 129.746,
"eval_steps_per_second": 16.38,
"num_input_tokens_seen": 23203840,
"step": 2836
},
{
"epoch": 4.231311706629055,
"grad_norm": 45.5040168762207,
"learning_rate": 4.576868829337095e-05,
"loss": 5.0498,
"num_input_tokens_seen": 24547328,
"step": 3000
},
{
"epoch": 4.9365303244005645,
"grad_norm": 33.329322814941406,
"learning_rate": 4.506346967559944e-05,
"loss": 4.9003,
"num_input_tokens_seen": 28643328,
"step": 3500
},
{
"epoch": 5.0,
"eval_accuracy": 0.20717517041598063,
"eval_loss": 4.983646869659424,
"eval_runtime": 2.3314,
"eval_samples_per_second": 129.105,
"eval_steps_per_second": 16.299,
"num_input_tokens_seen": 29004800,
"step": 3545
},
{
"epoch": 5.6417489421720735,
"grad_norm": 23.64671516418457,
"learning_rate": 4.4358251057827926e-05,
"loss": 4.726,
"num_input_tokens_seen": 32732160,
"step": 4000
},
{
"epoch": 6.0,
"eval_accuracy": 0.24000805396154234,
"eval_loss": 4.574463844299316,
"eval_runtime": 2.395,
"eval_samples_per_second": 125.68,
"eval_steps_per_second": 15.867,
"num_input_tokens_seen": 34805760,
"step": 4254
},
{
"epoch": 6.346967559943582,
"grad_norm": 64.83744049072266,
"learning_rate": 4.3653032440056416e-05,
"loss": 4.5269,
"num_input_tokens_seen": 36820992,
"step": 4500
},
{
"epoch": 7.0,
"eval_accuracy": 0.2230005553336386,
"eval_loss": 4.76109504699707,
"eval_runtime": 2.3456,
"eval_samples_per_second": 128.328,
"eval_steps_per_second": 16.201,
"num_input_tokens_seen": 40606720,
"step": 4963
},
{
"epoch": 7.052186177715091,
"grad_norm": 24.155548095703125,
"learning_rate": 4.294781382228491e-05,
"loss": 4.5745,
"num_input_tokens_seen": 40909824,
"step": 5000
},
{
"epoch": 7.757404795486601,
"grad_norm": 16.52519416809082,
"learning_rate": 4.22425952045134e-05,
"loss": 4.5249,
"num_input_tokens_seen": 45005824,
"step": 5500
},
{
"epoch": 8.0,
"eval_accuracy": 0.23566605937198584,
"eval_loss": 4.611110687255859,
"eval_runtime": 2.3827,
"eval_samples_per_second": 126.326,
"eval_steps_per_second": 15.948,
"num_input_tokens_seen": 46407680,
"step": 5672
},
{
"epoch": 8.46262341325811,
"grad_norm": 19.4478759765625,
"learning_rate": 4.153737658674189e-05,
"loss": 4.3857,
"num_input_tokens_seen": 49094656,
"step": 6000
},
{
"epoch": 9.0,
"eval_accuracy": 0.24934155616826284,
"eval_loss": 4.472122669219971,
"eval_runtime": 2.3575,
"eval_samples_per_second": 127.679,
"eval_steps_per_second": 16.119,
"num_input_tokens_seen": 52208640,
"step": 6381
},
{
"epoch": 9.16784203102962,
"grad_norm": 12.421043395996094,
"learning_rate": 4.083215796897038e-05,
"loss": 4.2982,
"num_input_tokens_seen": 53183488,
"step": 6500
},
{
"epoch": 9.873060648801129,
"grad_norm": 19.52003288269043,
"learning_rate": 4.012693935119887e-05,
"loss": 4.2523,
"num_input_tokens_seen": 57279488,
"step": 7000
},
{
"epoch": 10.0,
"eval_accuracy": 0.2492506243443978,
"eval_loss": 4.475858688354492,
"eval_runtime": 2.3615,
"eval_samples_per_second": 127.463,
"eval_steps_per_second": 16.092,
"num_input_tokens_seen": 58009600,
"step": 7090
},
{
"epoch": 10.578279266572638,
"grad_norm": 13.172361373901367,
"learning_rate": 3.942172073342737e-05,
"loss": 4.2256,
"num_input_tokens_seen": 61368320,
"step": 7500
},
{
"epoch": 11.0,
"eval_accuracy": 0.2573857750151824,
"eval_loss": 4.4382004737854,
"eval_runtime": 2.3391,
"eval_samples_per_second": 128.68,
"eval_steps_per_second": 16.245,
"num_input_tokens_seen": 63810560,
"step": 7799
},
{
"epoch": 11.283497884344147,
"grad_norm": 20.001747131347656,
"learning_rate": 3.871650211565586e-05,
"loss": 4.151,
"num_input_tokens_seen": 65457152,
"step": 8000
},
{
"epoch": 11.988716502115656,
"grad_norm": 12.548118591308594,
"learning_rate": 3.801128349788435e-05,
"loss": 4.0897,
"num_input_tokens_seen": 69553152,
"step": 8500
},
{
"epoch": 12.0,
"eval_accuracy": 0.26011697729627214,
"eval_loss": 4.386884689331055,
"eval_runtime": 2.3571,
"eval_samples_per_second": 127.697,
"eval_steps_per_second": 16.121,
"num_input_tokens_seen": 69611520,
"step": 8508
},
{
"epoch": 12.693935119887165,
"grad_norm": 13.00560188293457,
"learning_rate": 3.7306064880112836e-05,
"loss": 4.0155,
"num_input_tokens_seen": 73641984,
"step": 9000
},
{
"epoch": 13.0,
"eval_accuracy": 0.2617082842139106,
"eval_loss": 4.3910322189331055,
"eval_runtime": 2.3687,
"eval_samples_per_second": 127.077,
"eval_steps_per_second": 16.043,
"num_input_tokens_seen": 75412480,
"step": 9217
},
{
"epoch": 13.399153737658674,
"grad_norm": 17.632902145385742,
"learning_rate": 3.6600846262341326e-05,
"loss": 4.0051,
"num_input_tokens_seen": 77730816,
"step": 9500
},
{
"epoch": 14.0,
"eval_accuracy": 0.2632378873939264,
"eval_loss": 4.3866143226623535,
"eval_runtime": 2.3505,
"eval_samples_per_second": 128.057,
"eval_steps_per_second": 16.167,
"num_input_tokens_seen": 81213440,
"step": 9926
},
{
"epoch": 14.104372355430183,
"grad_norm": 8.833736419677734,
"learning_rate": 3.5895627644569816e-05,
"loss": 3.9612,
"num_input_tokens_seen": 81819648,
"step": 10000
},
{
"epoch": 14.809590973201692,
"grad_norm": 12.257335662841797,
"learning_rate": 3.519040902679831e-05,
"loss": 3.9221,
"num_input_tokens_seen": 85915648,
"step": 10500
},
{
"epoch": 15.0,
"eval_accuracy": 0.2629553492269171,
"eval_loss": 4.392822742462158,
"eval_runtime": 2.3838,
"eval_samples_per_second": 126.269,
"eval_steps_per_second": 15.941,
"num_input_tokens_seen": 87014400,
"step": 10635
},
{
"epoch": 15.514809590973202,
"grad_norm": 10.67398738861084,
"learning_rate": 3.44851904090268e-05,
"loss": 3.8844,
"num_input_tokens_seen": 90004480,
"step": 11000
},
{
"epoch": 16.0,
"eval_accuracy": 0.2727662435089292,
"eval_loss": 4.3424248695373535,
"eval_runtime": 2.3672,
"eval_samples_per_second": 127.154,
"eval_steps_per_second": 16.053,
"num_input_tokens_seen": 92815360,
"step": 11344
},
{
"epoch": 16.22002820874471,
"grad_norm": 9.101444244384766,
"learning_rate": 3.377997179125529e-05,
"loss": 3.8528,
"num_input_tokens_seen": 94093312,
"step": 11500
},
{
"epoch": 16.92524682651622,
"grad_norm": 9.585593223571777,
"learning_rate": 3.307475317348378e-05,
"loss": 3.8165,
"num_input_tokens_seen": 98189312,
"step": 12000
},
{
"epoch": 17.0,
"eval_accuracy": 0.2663425596658905,
"eval_loss": 4.406184196472168,
"eval_runtime": 2.3686,
"eval_samples_per_second": 127.081,
"eval_steps_per_second": 16.043,
"num_input_tokens_seen": 98616320,
"step": 12053
},
{
"epoch": 17.63046544428773,
"grad_norm": 12.549637794494629,
"learning_rate": 3.236953455571227e-05,
"loss": 3.7716,
"num_input_tokens_seen": 102278144,
"step": 12500
},
{
"epoch": 18.0,
"eval_accuracy": 0.26832682196523155,
"eval_loss": 4.423529624938965,
"eval_runtime": 2.3586,
"eval_samples_per_second": 127.62,
"eval_steps_per_second": 16.111,
"num_input_tokens_seen": 104417280,
"step": 12762
},
{
"epoch": 18.33568406205924,
"grad_norm": 10.797262191772461,
"learning_rate": 3.166431593794077e-05,
"loss": 3.7558,
"num_input_tokens_seen": 106366976,
"step": 13000
},
{
"epoch": 19.0,
"eval_accuracy": 0.26874575786803845,
"eval_loss": 4.390767574310303,
"eval_runtime": 2.3418,
"eval_samples_per_second": 128.535,
"eval_steps_per_second": 16.227,
"num_input_tokens_seen": 110218240,
"step": 13471
},
{
"epoch": 19.040902679830747,
"grad_norm": 10.686503410339355,
"learning_rate": 3.095909732016926e-05,
"loss": 3.7383,
"num_input_tokens_seen": 110455808,
"step": 13500
},
{
"epoch": 19.746121297602258,
"grad_norm": 8.79494857788086,
"learning_rate": 3.0253878702397743e-05,
"loss": 3.6958,
"num_input_tokens_seen": 114551808,
"step": 14000
},
{
"epoch": 20.0,
"eval_accuracy": 0.26914196081487907,
"eval_loss": 4.424190521240234,
"eval_runtime": 2.4033,
"eval_samples_per_second": 125.243,
"eval_steps_per_second": 15.811,
"num_input_tokens_seen": 116019200,
"step": 14180
},
{
"epoch": 20.451339915373765,
"grad_norm": 8.323198318481445,
"learning_rate": 2.9548660084626233e-05,
"loss": 3.684,
"num_input_tokens_seen": 118640640,
"step": 14500
},
{
"epoch": 21.0,
"eval_accuracy": 0.26918742672681156,
"eval_loss": 4.429287433624268,
"eval_runtime": 2.3485,
"eval_samples_per_second": 128.164,
"eval_steps_per_second": 16.18,
"num_input_tokens_seen": 121820160,
"step": 14889
},
{
"epoch": 21.156558533145276,
"grad_norm": 13.749457359313965,
"learning_rate": 2.8843441466854726e-05,
"loss": 3.6566,
"num_input_tokens_seen": 122729472,
"step": 15000
},
{
"epoch": 21.861777150916783,
"grad_norm": 8.61412239074707,
"learning_rate": 2.813822284908322e-05,
"loss": 3.6349,
"num_input_tokens_seen": 126825472,
"step": 15500
},
{
"epoch": 22.0,
"eval_accuracy": 0.26987591053607557,
"eval_loss": 4.465507984161377,
"eval_runtime": 2.4176,
"eval_samples_per_second": 124.505,
"eval_steps_per_second": 15.718,
"num_input_tokens_seen": 127621120,
"step": 15598
},
{
"epoch": 22.566995768688294,
"grad_norm": 8.218836784362793,
"learning_rate": 2.743300423131171e-05,
"loss": 3.6091,
"num_input_tokens_seen": 130914304,
"step": 16000
},
{
"epoch": 23.0,
"eval_accuracy": 0.2670992423430533,
"eval_loss": 4.5008721351623535,
"eval_runtime": 2.366,
"eval_samples_per_second": 127.22,
"eval_steps_per_second": 16.061,
"num_input_tokens_seen": 133422080,
"step": 16307
},
{
"epoch": 23.2722143864598,
"grad_norm": 10.475564956665039,
"learning_rate": 2.6727785613540195e-05,
"loss": 3.602,
"num_input_tokens_seen": 135003136,
"step": 16500
},
{
"epoch": 23.97743300423131,
"grad_norm": 9.387394905090332,
"learning_rate": 2.6022566995768688e-05,
"loss": 3.5949,
"num_input_tokens_seen": 139099136,
"step": 17000
},
{
"epoch": 24.0,
"eval_accuracy": 0.26471877709687164,
"eval_loss": 4.58220911026001,
"eval_runtime": 2.3413,
"eval_samples_per_second": 128.561,
"eval_steps_per_second": 16.23,
"num_input_tokens_seen": 139223040,
"step": 17016
},
{
"epoch": 24.682651622002822,
"grad_norm": 9.367217063903809,
"learning_rate": 2.531734837799718e-05,
"loss": 3.5476,
"num_input_tokens_seen": 143187968,
"step": 17500
},
{
"epoch": 25.0,
"eval_accuracy": 0.2674499793779614,
"eval_loss": 4.5724711418151855,
"eval_runtime": 2.3479,
"eval_samples_per_second": 128.2,
"eval_steps_per_second": 16.185,
"num_input_tokens_seen": 145024000,
"step": 17725
},
{
"epoch": 25.38787023977433,
"grad_norm": 9.069378852844238,
"learning_rate": 2.461212976022567e-05,
"loss": 3.5392,
"num_input_tokens_seen": 147276800,
"step": 18000
},
{
"epoch": 26.0,
"eval_accuracy": 0.266644583223728,
"eval_loss": 4.611934185028076,
"eval_runtime": 2.372,
"eval_samples_per_second": 126.897,
"eval_steps_per_second": 16.02,
"num_input_tokens_seen": 150824960,
"step": 18434
},
{
"epoch": 26.09308885754584,
"grad_norm": 7.782838821411133,
"learning_rate": 2.390691114245416e-05,
"loss": 3.5423,
"num_input_tokens_seen": 151365632,
"step": 18500
},
{
"epoch": 26.798307475317348,
"grad_norm": 7.378510475158691,
"learning_rate": 2.3201692524682653e-05,
"loss": 3.524,
"num_input_tokens_seen": 155461632,
"step": 19000
},
{
"epoch": 27.0,
"eval_accuracy": 0.26156214378269893,
"eval_loss": 4.708793640136719,
"eval_runtime": 2.4833,
"eval_samples_per_second": 121.209,
"eval_steps_per_second": 15.302,
"num_input_tokens_seen": 156625920,
"step": 19143
},
{
"epoch": 27.50352609308886,
"grad_norm": 8.874760627746582,
"learning_rate": 2.2496473906911146e-05,
"loss": 3.4999,
"num_input_tokens_seen": 159550464,
"step": 19500
},
{
"epoch": 28.0,
"eval_accuracy": 0.26340676078110437,
"eval_loss": 4.730751037597656,
"eval_runtime": 2.3629,
"eval_samples_per_second": 127.388,
"eval_steps_per_second": 16.082,
"num_input_tokens_seen": 162426880,
"step": 19852
},
{
"epoch": 28.208744710860366,
"grad_norm": 8.382628440856934,
"learning_rate": 2.1791255289139633e-05,
"loss": 3.5073,
"num_input_tokens_seen": 163639296,
"step": 20000
},
{
"epoch": 28.913963328631876,
"grad_norm": 7.747939109802246,
"learning_rate": 2.1086036671368126e-05,
"loss": 3.4888,
"num_input_tokens_seen": 167735296,
"step": 20500
},
{
"epoch": 29.0,
"eval_accuracy": 0.26255589871493845,
"eval_loss": 4.776463031768799,
"eval_runtime": 2.3641,
"eval_samples_per_second": 127.324,
"eval_steps_per_second": 16.074,
"num_input_tokens_seen": 168227840,
"step": 20561
},
{
"epoch": 29.619181946403383,
"grad_norm": 10.21652603149414,
"learning_rate": 2.0380818053596615e-05,
"loss": 3.4665,
"num_input_tokens_seen": 171824128,
"step": 21000
},
{
"epoch": 30.0,
"eval_accuracy": 0.2627962185351533,
"eval_loss": 4.861045837402344,
"eval_runtime": 2.3278,
"eval_samples_per_second": 129.308,
"eval_steps_per_second": 16.325,
"num_input_tokens_seen": 174028800,
"step": 21270
},
{
"epoch": 30.324400564174894,
"grad_norm": 7.920512676239014,
"learning_rate": 1.9675599435825108e-05,
"loss": 3.4628,
"num_input_tokens_seen": 175912960,
"step": 21500
},
{
"epoch": 31.0,
"eval_accuracy": 0.26106526631657917,
"eval_loss": 4.910233974456787,
"eval_runtime": 2.3245,
"eval_samples_per_second": 129.491,
"eval_steps_per_second": 16.348,
"num_input_tokens_seen": 179829760,
"step": 21979
},
{
"epoch": 31.029619181946405,
"grad_norm": 9.639541625976562,
"learning_rate": 1.8970380818053598e-05,
"loss": 3.4774,
"num_input_tokens_seen": 180001792,
"step": 22000
},
{
"epoch": 31.734837799717912,
"grad_norm": 8.425528526306152,
"learning_rate": 1.8265162200282088e-05,
"loss": 3.4478,
"num_input_tokens_seen": 184097792,
"step": 22500
},
{
"epoch": 32.0,
"eval_accuracy": 0.2584022629033882,
"eval_loss": 4.99893856048584,
"eval_runtime": 2.4209,
"eval_samples_per_second": 124.332,
"eval_steps_per_second": 15.696,
"num_input_tokens_seen": 185630720,
"step": 22688
},
{
"epoch": 32.44005641748942,
"grad_norm": 12.94858455657959,
"learning_rate": 1.755994358251058e-05,
"loss": 3.4539,
"num_input_tokens_seen": 188186624,
"step": 23000
},
{
"epoch": 33.0,
"eval_accuracy": 0.2561939186095225,
"eval_loss": 5.060764789581299,
"eval_runtime": 2.3544,
"eval_samples_per_second": 127.845,
"eval_steps_per_second": 16.14,
"num_input_tokens_seen": 191431680,
"step": 23397
},
{
"epoch": 33.14527503526093,
"grad_norm": 10.570552825927734,
"learning_rate": 1.685472496473907e-05,
"loss": 3.4532,
"num_input_tokens_seen": 192275456,
"step": 23500
},
{
"epoch": 33.85049365303244,
"grad_norm": 9.403538703918457,
"learning_rate": 1.614950634696756e-05,
"loss": 3.4486,
"num_input_tokens_seen": 196371456,
"step": 24000
},
{
"epoch": 34.0,
"eval_accuracy": 0.2573338139729738,
"eval_loss": 5.155101299285889,
"eval_runtime": 2.3548,
"eval_samples_per_second": 127.825,
"eval_steps_per_second": 16.137,
"num_input_tokens_seen": 197232640,
"step": 24106
},
{
"epoch": 34.55571227080395,
"grad_norm": 8.42175006866455,
"learning_rate": 1.5444287729196053e-05,
"loss": 3.4265,
"num_input_tokens_seen": 200460288,
"step": 24500
},
{
"epoch": 35.0,
"eval_accuracy": 0.2559276182682034,
"eval_loss": 5.19606876373291,
"eval_runtime": 2.3467,
"eval_samples_per_second": 128.266,
"eval_steps_per_second": 16.193,
"num_input_tokens_seen": 203033600,
"step": 24815
},
{
"epoch": 35.26093088857546,
"grad_norm": 9.095492362976074,
"learning_rate": 1.4739069111424541e-05,
"loss": 3.4376,
"num_input_tokens_seen": 204549120,
"step": 25000
},
{
"epoch": 35.966149506346966,
"grad_norm": 9.631875038146973,
"learning_rate": 1.4033850493653034e-05,
"loss": 3.4427,
"num_input_tokens_seen": 208645120,
"step": 25500
},
{
"epoch": 36.0,
"eval_accuracy": 0.2559828268755501,
"eval_loss": 5.287012100219727,
"eval_runtime": 2.3609,
"eval_samples_per_second": 127.496,
"eval_steps_per_second": 16.096,
"num_input_tokens_seen": 208834560,
"step": 25524
},
{
"epoch": 36.67136812411848,
"grad_norm": 9.127022743225098,
"learning_rate": 1.3328631875881522e-05,
"loss": 3.4203,
"num_input_tokens_seen": 212733952,
"step": 26000
},
{
"epoch": 37.0,
"eval_accuracy": 0.25666481555453796,
"eval_loss": 5.381103515625,
"eval_runtime": 2.408,
"eval_samples_per_second": 125.0,
"eval_steps_per_second": 15.781,
"num_input_tokens_seen": 214635520,
"step": 26233
},
{
"epoch": 37.37658674188999,
"grad_norm": 8.888460159301758,
"learning_rate": 1.2623413258110015e-05,
"loss": 3.4309,
"num_input_tokens_seen": 216822784,
"step": 26500
},
{
"epoch": 38.0,
"eval_accuracy": 0.2557100314039549,
"eval_loss": 5.395905017852783,
"eval_runtime": 2.3536,
"eval_samples_per_second": 127.891,
"eval_steps_per_second": 16.146,
"num_input_tokens_seen": 220436480,
"step": 26942
},
{
"epoch": 38.081805359661494,
"grad_norm": 9.691740036010742,
"learning_rate": 1.1918194640338505e-05,
"loss": 3.442,
"num_input_tokens_seen": 220911616,
"step": 27000
},
{
"epoch": 38.787023977433,
"grad_norm": 9.186783790588379,
"learning_rate": 1.1212976022566998e-05,
"loss": 3.4265,
"num_input_tokens_seen": 225007616,
"step": 27500
},
{
"epoch": 39.0,
"eval_accuracy": 0.25483643638182274,
"eval_loss": 5.532092571258545,
"eval_runtime": 2.3449,
"eval_samples_per_second": 128.361,
"eval_steps_per_second": 16.205,
"num_input_tokens_seen": 226237440,
"step": 27651
},
{
"epoch": 39.492242595204516,
"grad_norm": 8.784052848815918,
"learning_rate": 1.0507757404795487e-05,
"loss": 3.4267,
"num_input_tokens_seen": 229096448,
"step": 28000
},
{
"epoch": 40.0,
"eval_accuracy": 0.2528132033008252,
"eval_loss": 5.587483882904053,
"eval_runtime": 2.4783,
"eval_samples_per_second": 121.456,
"eval_steps_per_second": 15.333,
"num_input_tokens_seen": 232038400,
"step": 28360
},
{
"epoch": 40.19746121297602,
"grad_norm": 9.762134552001953,
"learning_rate": 9.802538787023979e-06,
"loss": 3.4331,
"num_input_tokens_seen": 233185280,
"step": 28500
},
{
"epoch": 40.90267983074753,
"grad_norm": 9.590001106262207,
"learning_rate": 9.097320169252468e-06,
"loss": 3.456,
"num_input_tokens_seen": 237281280,
"step": 29000
},
{
"epoch": 41.0,
"eval_accuracy": 0.25092312039048725,
"eval_loss": 5.615477561950684,
"eval_runtime": 2.4777,
"eval_samples_per_second": 121.485,
"eval_steps_per_second": 15.337,
"num_input_tokens_seen": 237839360,
"step": 29069
},
{
"epoch": 41.60789844851904,
"grad_norm": 9.302165985107422,
"learning_rate": 8.39210155148096e-06,
"loss": 3.445,
"num_input_tokens_seen": 241370112,
"step": 29500
},
{
"epoch": 42.0,
"eval_accuracy": 0.2526670628696135,
"eval_loss": 5.626107215881348,
"eval_runtime": 2.4409,
"eval_samples_per_second": 123.313,
"eval_steps_per_second": 15.568,
"num_input_tokens_seen": 243640320,
"step": 29778
},
{
"epoch": 42.31311706629055,
"grad_norm": 11.168075561523438,
"learning_rate": 7.686882933709451e-06,
"loss": 3.4674,
"num_input_tokens_seen": 245458944,
"step": 30000
},
{
"epoch": 43.0,
"eval_accuracy": 0.2473248182175414,
"eval_loss": 5.813519477844238,
"eval_runtime": 2.4619,
"eval_samples_per_second": 122.263,
"eval_steps_per_second": 15.435,
"num_input_tokens_seen": 249441280,
"step": 30487
},
{
"epoch": 43.01833568406206,
"grad_norm": 13.5941743850708,
"learning_rate": 6.9816643159379414e-06,
"loss": 3.4873,
"num_input_tokens_seen": 249547776,
"step": 30500
},
{
"epoch": 43.723554301833566,
"grad_norm": 10.031736373901367,
"learning_rate": 6.276445698166432e-06,
"loss": 3.4888,
"num_input_tokens_seen": 253643776,
"step": 31000
},
{
"epoch": 44.0,
"eval_accuracy": 0.24821465106536375,
"eval_loss": 5.875204086303711,
"eval_runtime": 2.3416,
"eval_samples_per_second": 128.546,
"eval_steps_per_second": 16.228,
"num_input_tokens_seen": 255242240,
"step": 31196
},
{
"epoch": 44.42877291960508,
"grad_norm": 11.021130561828613,
"learning_rate": 5.5712270803949224e-06,
"loss": 3.5004,
"num_input_tokens_seen": 257732608,
"step": 31500
},
{
"epoch": 45.0,
"eval_accuracy": 0.24905577043611551,
"eval_loss": 5.897055625915527,
"eval_runtime": 2.3591,
"eval_samples_per_second": 127.589,
"eval_steps_per_second": 16.108,
"num_input_tokens_seen": 261043200,
"step": 31905
},
{
"epoch": 45.13399153737659,
"grad_norm": 9.840156555175781,
"learning_rate": 4.866008462623414e-06,
"loss": 3.4993,
"num_input_tokens_seen": 261821440,
"step": 32000
},
{
"epoch": 45.839210155148095,
"grad_norm": 12.190547943115234,
"learning_rate": 4.160789844851904e-06,
"loss": 3.5048,
"num_input_tokens_seen": 265917440,
"step": 32500
},
{
"epoch": 46.0,
"eval_accuracy": 0.2463960145880626,
"eval_loss": 5.995114803314209,
"eval_runtime": 2.6148,
"eval_samples_per_second": 115.115,
"eval_steps_per_second": 14.533,
"num_input_tokens_seen": 266844160,
"step": 32614
},
{
"epoch": 46.5444287729196,
"grad_norm": 10.28553581237793,
"learning_rate": 3.455571227080395e-06,
"loss": 3.5265,
"num_input_tokens_seen": 270006272,
"step": 33000
},
{
"epoch": 47.0,
"eval_accuracy": 0.24732806578267943,
"eval_loss": 5.983969688415527,
"eval_runtime": 2.5908,
"eval_samples_per_second": 116.181,
"eval_steps_per_second": 14.667,
"num_input_tokens_seen": 272645120,
"step": 33323
},
{
"epoch": 47.249647390691116,
"grad_norm": 9.88039779663086,
"learning_rate": 2.7503526093088857e-06,
"loss": 3.5267,
"num_input_tokens_seen": 274095104,
"step": 33500
},
{
"epoch": 47.95486600846262,
"grad_norm": 18.002471923828125,
"learning_rate": 2.0451339915373766e-06,
"loss": 3.5454,
"num_input_tokens_seen": 278191104,
"step": 34000
},
{
"epoch": 48.0,
"eval_accuracy": 0.24613296181188155,
"eval_loss": 6.077630043029785,
"eval_runtime": 2.56,
"eval_samples_per_second": 117.579,
"eval_steps_per_second": 14.844,
"num_input_tokens_seen": 278446080,
"step": 34032
},
{
"epoch": 48.66008462623413,
"grad_norm": 9.459271430969238,
"learning_rate": 1.3399153737658675e-06,
"loss": 3.5405,
"num_input_tokens_seen": 282279936,
"step": 34500
},
{
"epoch": 49.0,
"eval_accuracy": 0.2454509731328936,
"eval_loss": 6.075345993041992,
"eval_runtime": 2.392,
"eval_samples_per_second": 125.835,
"eval_steps_per_second": 15.886,
"num_input_tokens_seen": 284247040,
"step": 34741
},
{
"epoch": 49.365303244005645,
"grad_norm": 10.473950386047363,
"learning_rate": 6.346967559943583e-07,
"loss": 3.5448,
"num_input_tokens_seen": 286368768,
"step": 35000
},
{
"epoch": 50.0,
"eval_accuracy": 0.2452431289640592,
"eval_loss": 6.103971004486084,
"eval_runtime": 2.5249,
"eval_samples_per_second": 119.214,
"eval_steps_per_second": 15.05,
"num_input_tokens_seen": 290048000,
"step": 35450
},
{
"epoch": 50.0,
"num_input_tokens_seen": 290048000,
"step": 35450,
"total_flos": 7.7740363481088e+16,
"train_loss": 3.9178111260633375,
"train_runtime": 4788.9263,
"train_samples_per_second": 59.147,
"train_steps_per_second": 7.402,
"train_tokens_per_second": 60566.395
}
],
"logging_steps": 500,
"max_steps": 35450,
"num_input_tokens_seen": 290048000,
"num_train_epochs": 50,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7.7740363481088e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}