petkopetkov's picture
Upload 7 files
baf21c2 verified
{
"best_metric": 1.4004004001617432,
"best_model_checkpoint": "finetuned_student_model/checkpoint-900",
"epoch": 1.9969604863221884,
"eval_steps": 100,
"global_step": 904,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.022105554020447636,
"grad_norm": 9.875,
"learning_rate": 0.0002973392461197339,
"loss": 3.2514,
"mean_token_accuracy": 0.4204087435267866,
"step": 10
},
{
"epoch": 0.04421110804089527,
"grad_norm": 3.984375,
"learning_rate": 0.0002940133037694013,
"loss": 2.3718,
"mean_token_accuracy": 0.5071762848645449,
"step": 20
},
{
"epoch": 0.06631666206134292,
"grad_norm": 3.65625,
"learning_rate": 0.0002906873614190687,
"loss": 2.1087,
"mean_token_accuracy": 0.5472177878022194,
"step": 30
},
{
"epoch": 0.08842221608179054,
"grad_norm": 2.9375,
"learning_rate": 0.0002873614190687361,
"loss": 2.0888,
"mean_token_accuracy": 0.5551092017441988,
"step": 40
},
{
"epoch": 0.11052777010223819,
"grad_norm": 2.9375,
"learning_rate": 0.0002840354767184035,
"loss": 2.1327,
"mean_token_accuracy": 0.5446394145488739,
"step": 50
},
{
"epoch": 0.13263332412268583,
"grad_norm": 2.78125,
"learning_rate": 0.0002807095343680709,
"loss": 2.0511,
"mean_token_accuracy": 0.5573025777935982,
"step": 60
},
{
"epoch": 0.15473887814313347,
"grad_norm": 2.921875,
"learning_rate": 0.0002773835920177383,
"loss": 2.0515,
"mean_token_accuracy": 0.5619197305291891,
"step": 70
},
{
"epoch": 0.1768444321635811,
"grad_norm": 2.609375,
"learning_rate": 0.0002740576496674058,
"loss": 1.9854,
"mean_token_accuracy": 0.5682128138840199,
"step": 80
},
{
"epoch": 0.19894998618402873,
"grad_norm": 2.40625,
"learning_rate": 0.00027073170731707315,
"loss": 1.9689,
"mean_token_accuracy": 0.5708833433687687,
"step": 90
},
{
"epoch": 0.22105554020447638,
"grad_norm": 2.78125,
"learning_rate": 0.0002674057649667406,
"loss": 1.9959,
"mean_token_accuracy": 0.5728900354355574,
"step": 100
},
{
"epoch": 0.22105554020447638,
"eval_loss": 1.9453095197677612,
"eval_mean_token_accuracy": 0.5785076600132566,
"eval_runtime": 23.0365,
"eval_samples_per_second": 34.293,
"eval_steps_per_second": 4.298,
"step": 100
},
{
"epoch": 0.24316109422492402,
"grad_norm": 2.5,
"learning_rate": 0.00026407982261640795,
"loss": 1.967,
"mean_token_accuracy": 0.5708974912762642,
"step": 110
},
{
"epoch": 0.26526664824537166,
"grad_norm": 2.6875,
"learning_rate": 0.0002607538802660754,
"loss": 1.9176,
"mean_token_accuracy": 0.5783881578594446,
"step": 120
},
{
"epoch": 0.2873722022658193,
"grad_norm": 2.3125,
"learning_rate": 0.00025742793791574275,
"loss": 1.8481,
"mean_token_accuracy": 0.5897452015429735,
"step": 130
},
{
"epoch": 0.30947775628626695,
"grad_norm": 2.484375,
"learning_rate": 0.0002541019955654102,
"loss": 1.8706,
"mean_token_accuracy": 0.5862758502364158,
"step": 140
},
{
"epoch": 0.33158331030671456,
"grad_norm": 2.15625,
"learning_rate": 0.0002507760532150776,
"loss": 1.8667,
"mean_token_accuracy": 0.5883878566324711,
"step": 150
},
{
"epoch": 0.3536888643271622,
"grad_norm": 2.421875,
"learning_rate": 0.000247450110864745,
"loss": 1.8101,
"mean_token_accuracy": 0.5959903877228498,
"step": 160
},
{
"epoch": 0.37579441834760985,
"grad_norm": 2.34375,
"learning_rate": 0.00024412416851441238,
"loss": 1.8353,
"mean_token_accuracy": 0.5912164930254221,
"step": 170
},
{
"epoch": 0.39789997236805746,
"grad_norm": 2.25,
"learning_rate": 0.00024079822616407978,
"loss": 1.7821,
"mean_token_accuracy": 0.6001696892082691,
"step": 180
},
{
"epoch": 0.42000552638850513,
"grad_norm": 2.21875,
"learning_rate": 0.0002374722838137472,
"loss": 1.8351,
"mean_token_accuracy": 0.5922294020652771,
"step": 190
},
{
"epoch": 0.44211108040895275,
"grad_norm": 2.296875,
"learning_rate": 0.0002341463414634146,
"loss": 1.7342,
"mean_token_accuracy": 0.6008941765874625,
"step": 200
},
{
"epoch": 0.44211108040895275,
"eval_loss": 1.7812447547912598,
"eval_mean_token_accuracy": 0.6040364732645979,
"eval_runtime": 21.5006,
"eval_samples_per_second": 36.743,
"eval_steps_per_second": 4.605,
"step": 200
},
{
"epoch": 0.46421663442940037,
"grad_norm": 2.015625,
"learning_rate": 0.000230820399113082,
"loss": 1.7778,
"mean_token_accuracy": 0.6000470589846373,
"step": 210
},
{
"epoch": 0.48632218844984804,
"grad_norm": 1.890625,
"learning_rate": 0.0002274944567627494,
"loss": 1.7515,
"mean_token_accuracy": 0.6070282235741615,
"step": 220
},
{
"epoch": 0.5084277424702957,
"grad_norm": 2.109375,
"learning_rate": 0.0002241685144124168,
"loss": 1.7348,
"mean_token_accuracy": 0.6033936321735383,
"step": 230
},
{
"epoch": 0.5305332964907433,
"grad_norm": 1.8515625,
"learning_rate": 0.0002208425720620842,
"loss": 1.7198,
"mean_token_accuracy": 0.6069234035909176,
"step": 240
},
{
"epoch": 0.5526388505111909,
"grad_norm": 1.984375,
"learning_rate": 0.00021751662971175166,
"loss": 1.6866,
"mean_token_accuracy": 0.6128835912793875,
"step": 250
},
{
"epoch": 0.5747444045316386,
"grad_norm": 2.0625,
"learning_rate": 0.00021419068736141907,
"loss": 1.6751,
"mean_token_accuracy": 0.6139085631817579,
"step": 260
},
{
"epoch": 0.5968499585520862,
"grad_norm": 2.203125,
"learning_rate": 0.00021086474501108647,
"loss": 1.7237,
"mean_token_accuracy": 0.6062099590897561,
"step": 270
},
{
"epoch": 0.6189555125725339,
"grad_norm": 2.09375,
"learning_rate": 0.00020753880266075387,
"loss": 1.6894,
"mean_token_accuracy": 0.6122250266373157,
"step": 280
},
{
"epoch": 0.6410610665929815,
"grad_norm": 1.7734375,
"learning_rate": 0.00020421286031042127,
"loss": 1.6325,
"mean_token_accuracy": 0.6204121351242066,
"step": 290
},
{
"epoch": 0.6631666206134291,
"grad_norm": 2.0625,
"learning_rate": 0.0002008869179600887,
"loss": 1.6668,
"mean_token_accuracy": 0.615133136883378,
"step": 300
},
{
"epoch": 0.6631666206134291,
"eval_loss": 1.6475698947906494,
"eval_mean_token_accuracy": 0.6219914049813242,
"eval_runtime": 21.4767,
"eval_samples_per_second": 36.784,
"eval_steps_per_second": 4.61,
"step": 300
},
{
"epoch": 0.6852721746338768,
"grad_norm": 1.8359375,
"learning_rate": 0.0001975609756097561,
"loss": 1.614,
"mean_token_accuracy": 0.6179928559809923,
"step": 310
},
{
"epoch": 0.7073777286543244,
"grad_norm": 10.6875,
"learning_rate": 0.0001942350332594235,
"loss": 1.7166,
"mean_token_accuracy": 0.6136065050959587,
"step": 320
},
{
"epoch": 0.729483282674772,
"grad_norm": 1.8203125,
"learning_rate": 0.0001909090909090909,
"loss": 1.657,
"mean_token_accuracy": 0.6190799050033092,
"step": 330
},
{
"epoch": 0.7515888366952197,
"grad_norm": 2.078125,
"learning_rate": 0.0001875831485587583,
"loss": 1.6038,
"mean_token_accuracy": 0.6287192285060883,
"step": 340
},
{
"epoch": 0.7736943907156673,
"grad_norm": 1.71875,
"learning_rate": 0.0001842572062084257,
"loss": 1.5914,
"mean_token_accuracy": 0.6284744247794152,
"step": 350
},
{
"epoch": 0.7957999447361149,
"grad_norm": 2.0,
"learning_rate": 0.00018093126385809312,
"loss": 1.6075,
"mean_token_accuracy": 0.6283752031624317,
"step": 360
},
{
"epoch": 0.8179054987565626,
"grad_norm": 2.0,
"learning_rate": 0.00017760532150776052,
"loss": 1.6082,
"mean_token_accuracy": 0.6261149801313877,
"step": 370
},
{
"epoch": 0.8400110527770103,
"grad_norm": 1.8984375,
"learning_rate": 0.00017427937915742792,
"loss": 1.5879,
"mean_token_accuracy": 0.6261836618185044,
"step": 380
},
{
"epoch": 0.8621166067974578,
"grad_norm": 2.515625,
"learning_rate": 0.00017095343680709532,
"loss": 1.5785,
"mean_token_accuracy": 0.631008780002594,
"step": 390
},
{
"epoch": 0.8842221608179055,
"grad_norm": 2.015625,
"learning_rate": 0.00016762749445676272,
"loss": 1.4931,
"mean_token_accuracy": 0.6441986732184887,
"step": 400
},
{
"epoch": 0.8842221608179055,
"eval_loss": 1.5408236980438232,
"eval_mean_token_accuracy": 0.6406004489070237,
"eval_runtime": 21.4648,
"eval_samples_per_second": 36.804,
"eval_steps_per_second": 4.612,
"step": 400
},
{
"epoch": 0.9063277148383532,
"grad_norm": 1.6328125,
"learning_rate": 0.00016430155210643015,
"loss": 1.5441,
"mean_token_accuracy": 0.6400343291461468,
"step": 410
},
{
"epoch": 0.9284332688588007,
"grad_norm": 1.796875,
"learning_rate": 0.00016097560975609755,
"loss": 1.5299,
"mean_token_accuracy": 0.6389802560210228,
"step": 420
},
{
"epoch": 0.9505388228792484,
"grad_norm": 1.7890625,
"learning_rate": 0.00015764966740576495,
"loss": 1.524,
"mean_token_accuracy": 0.6369420018047094,
"step": 430
},
{
"epoch": 0.9726443768996961,
"grad_norm": 1.734375,
"learning_rate": 0.00015432372505543235,
"loss": 1.5423,
"mean_token_accuracy": 0.6327314972877502,
"step": 440
},
{
"epoch": 0.9947499309201436,
"grad_norm": 1.84375,
"learning_rate": 0.00015099778270509975,
"loss": 1.5033,
"mean_token_accuracy": 0.6431983485817909,
"step": 450
},
{
"epoch": 1.0154738878143132,
"grad_norm": 1.6640625,
"learning_rate": 0.00014767184035476718,
"loss": 1.2191,
"mean_token_accuracy": 0.6965674503644308,
"step": 460
},
{
"epoch": 1.037579441834761,
"grad_norm": 1.7890625,
"learning_rate": 0.00014434589800443458,
"loss": 1.0348,
"mean_token_accuracy": 0.7245359934866429,
"step": 470
},
{
"epoch": 1.0596849958552086,
"grad_norm": 1.703125,
"learning_rate": 0.00014101995565410198,
"loss": 1.0563,
"mean_token_accuracy": 0.7208410792052746,
"step": 480
},
{
"epoch": 1.0817905498756564,
"grad_norm": 1.5390625,
"learning_rate": 0.00013769401330376938,
"loss": 1.0467,
"mean_token_accuracy": 0.7243687815964222,
"step": 490
},
{
"epoch": 1.103896103896104,
"grad_norm": 1.734375,
"learning_rate": 0.00013436807095343678,
"loss": 1.048,
"mean_token_accuracy": 0.718181136995554,
"step": 500
},
{
"epoch": 1.103896103896104,
"eval_loss": 1.5222158432006836,
"eval_mean_token_accuracy": 0.6474175338793282,
"eval_runtime": 21.4789,
"eval_samples_per_second": 36.78,
"eval_steps_per_second": 4.609,
"step": 500
},
{
"epoch": 1.1260016579165515,
"grad_norm": 1.7421875,
"learning_rate": 0.0001310421286031042,
"loss": 1.0292,
"mean_token_accuracy": 0.724801865965128,
"step": 510
},
{
"epoch": 1.148107211936999,
"grad_norm": 1.5546875,
"learning_rate": 0.0001277161862527716,
"loss": 1.0431,
"mean_token_accuracy": 0.7216434337198734,
"step": 520
},
{
"epoch": 1.1702127659574468,
"grad_norm": 1.671875,
"learning_rate": 0.000124390243902439,
"loss": 1.0261,
"mean_token_accuracy": 0.7233444675803185,
"step": 530
},
{
"epoch": 1.1923183199778944,
"grad_norm": 1.734375,
"learning_rate": 0.00012106430155210642,
"loss": 1.0001,
"mean_token_accuracy": 0.7310704313218593,
"step": 540
},
{
"epoch": 1.2144238739983422,
"grad_norm": 1.78125,
"learning_rate": 0.00011773835920177382,
"loss": 0.9996,
"mean_token_accuracy": 0.7315604917705059,
"step": 550
},
{
"epoch": 1.2365294280187897,
"grad_norm": 1.8203125,
"learning_rate": 0.00011441241685144122,
"loss": 0.9732,
"mean_token_accuracy": 0.7363451808691025,
"step": 560
},
{
"epoch": 1.2586349820392373,
"grad_norm": 1.796875,
"learning_rate": 0.00011108647450110864,
"loss": 1.0185,
"mean_token_accuracy": 0.7294765569269657,
"step": 570
},
{
"epoch": 1.280740536059685,
"grad_norm": 1.6953125,
"learning_rate": 0.00010776053215077604,
"loss": 0.9948,
"mean_token_accuracy": 0.7329611636698246,
"step": 580
},
{
"epoch": 1.3028460900801326,
"grad_norm": 1.7265625,
"learning_rate": 0.00010443458980044345,
"loss": 0.9808,
"mean_token_accuracy": 0.7348393484950065,
"step": 590
},
{
"epoch": 1.3249516441005802,
"grad_norm": 1.6875,
"learning_rate": 0.00010110864745011085,
"loss": 0.9809,
"mean_token_accuracy": 0.7370587438344955,
"step": 600
},
{
"epoch": 1.3249516441005802,
"eval_loss": 1.4869917631149292,
"eval_mean_token_accuracy": 0.6575891068487456,
"eval_runtime": 21.4699,
"eval_samples_per_second": 36.796,
"eval_steps_per_second": 4.611,
"step": 600
},
{
"epoch": 1.347057198121028,
"grad_norm": 1.7578125,
"learning_rate": 9.778270509977825e-05,
"loss": 0.9891,
"mean_token_accuracy": 0.7354318417608738,
"step": 610
},
{
"epoch": 1.3691627521414755,
"grad_norm": 1.703125,
"learning_rate": 9.445676274944568e-05,
"loss": 0.9653,
"mean_token_accuracy": 0.7393273778259755,
"step": 620
},
{
"epoch": 1.391268306161923,
"grad_norm": 1.671875,
"learning_rate": 9.113082039911308e-05,
"loss": 0.9552,
"mean_token_accuracy": 0.7432896822690964,
"step": 630
},
{
"epoch": 1.4133738601823709,
"grad_norm": 1.6015625,
"learning_rate": 8.780487804878047e-05,
"loss": 0.9713,
"mean_token_accuracy": 0.7419402815401555,
"step": 640
},
{
"epoch": 1.4354794142028184,
"grad_norm": 1.640625,
"learning_rate": 8.44789356984479e-05,
"loss": 0.9548,
"mean_token_accuracy": 0.7421382986009121,
"step": 650
},
{
"epoch": 1.4575849682232662,
"grad_norm": 1.6796875,
"learning_rate": 8.11529933481153e-05,
"loss": 0.9824,
"mean_token_accuracy": 0.737388264387846,
"step": 660
},
{
"epoch": 1.4796905222437138,
"grad_norm": 1.7734375,
"learning_rate": 7.78270509977827e-05,
"loss": 0.937,
"mean_token_accuracy": 0.7477126508951187,
"step": 670
},
{
"epoch": 1.5017960762641613,
"grad_norm": 1.8984375,
"learning_rate": 7.450110864745011e-05,
"loss": 0.9433,
"mean_token_accuracy": 0.744731155782938,
"step": 680
},
{
"epoch": 1.523901630284609,
"grad_norm": 1.765625,
"learning_rate": 7.117516629711751e-05,
"loss": 0.9259,
"mean_token_accuracy": 0.745546705648303,
"step": 690
},
{
"epoch": 1.5460071843050567,
"grad_norm": 1.625,
"learning_rate": 6.784922394678491e-05,
"loss": 0.9625,
"mean_token_accuracy": 0.7406142510473728,
"step": 700
},
{
"epoch": 1.5460071843050567,
"eval_loss": 1.429708480834961,
"eval_mean_token_accuracy": 0.6674101424939705,
"eval_runtime": 21.4679,
"eval_samples_per_second": 36.799,
"eval_steps_per_second": 4.612,
"step": 700
},
{
"epoch": 1.5681127383255042,
"grad_norm": 1.75,
"learning_rate": 6.452328159645232e-05,
"loss": 0.9285,
"mean_token_accuracy": 0.7476192332804203,
"step": 710
},
{
"epoch": 1.590218292345952,
"grad_norm": 1.6640625,
"learning_rate": 6.119733924611973e-05,
"loss": 0.9173,
"mean_token_accuracy": 0.75327173396945,
"step": 720
},
{
"epoch": 1.6123238463663996,
"grad_norm": 1.765625,
"learning_rate": 5.787139689578713e-05,
"loss": 0.9392,
"mean_token_accuracy": 0.7470508739352226,
"step": 730
},
{
"epoch": 1.6344294003868471,
"grad_norm": 1.484375,
"learning_rate": 5.454545454545454e-05,
"loss": 0.9148,
"mean_token_accuracy": 0.7503846064209938,
"step": 740
},
{
"epoch": 1.6565349544072947,
"grad_norm": 1.578125,
"learning_rate": 5.121951219512195e-05,
"loss": 0.9286,
"mean_token_accuracy": 0.749035281687975,
"step": 750
},
{
"epoch": 1.6786405084277425,
"grad_norm": 1.6484375,
"learning_rate": 4.7893569844789354e-05,
"loss": 0.9312,
"mean_token_accuracy": 0.748369749635458,
"step": 760
},
{
"epoch": 1.7007460624481903,
"grad_norm": 1.6484375,
"learning_rate": 4.456762749445676e-05,
"loss": 0.9585,
"mean_token_accuracy": 0.742963894456625,
"step": 770
},
{
"epoch": 1.7228516164686378,
"grad_norm": 1.484375,
"learning_rate": 4.124168514412417e-05,
"loss": 1.0002,
"mean_token_accuracy": 0.7539634991437196,
"step": 780
},
{
"epoch": 1.7449571704890854,
"grad_norm": 1.6484375,
"learning_rate": 3.791574279379157e-05,
"loss": 0.93,
"mean_token_accuracy": 0.7481286890804768,
"step": 790
},
{
"epoch": 1.767062724509533,
"grad_norm": 1.7421875,
"learning_rate": 3.4589800443458975e-05,
"loss": 0.9119,
"mean_token_accuracy": 0.7515073113143445,
"step": 800
},
{
"epoch": 1.767062724509533,
"eval_loss": 1.4062376022338867,
"eval_mean_token_accuracy": 0.6735276628022242,
"eval_runtime": 21.4799,
"eval_samples_per_second": 36.779,
"eval_steps_per_second": 4.609,
"step": 800
},
{
"epoch": 1.7891682785299805,
"grad_norm": 1.7734375,
"learning_rate": 3.126385809312638e-05,
"loss": 0.9018,
"mean_token_accuracy": 0.7531212449073792,
"step": 810
},
{
"epoch": 1.8112738325504283,
"grad_norm": 1.7421875,
"learning_rate": 2.793791574279379e-05,
"loss": 0.9048,
"mean_token_accuracy": 0.7560021050274373,
"step": 820
},
{
"epoch": 1.833379386570876,
"grad_norm": 1.6953125,
"learning_rate": 2.4611973392461197e-05,
"loss": 0.9028,
"mean_token_accuracy": 0.7558302395045757,
"step": 830
},
{
"epoch": 1.8554849405913236,
"grad_norm": 1.578125,
"learning_rate": 2.12860310421286e-05,
"loss": 0.9158,
"mean_token_accuracy": 0.7508154392242432,
"step": 840
},
{
"epoch": 1.8775904946117712,
"grad_norm": 1.734375,
"learning_rate": 1.7960088691796008e-05,
"loss": 0.8864,
"mean_token_accuracy": 0.7576524101197719,
"step": 850
},
{
"epoch": 1.8996960486322187,
"grad_norm": 1.8203125,
"learning_rate": 1.4634146341463413e-05,
"loss": 0.9228,
"mean_token_accuracy": 0.7508851245045662,
"step": 860
},
{
"epoch": 1.9218016026526665,
"grad_norm": 1.6015625,
"learning_rate": 1.130820399113082e-05,
"loss": 0.8975,
"mean_token_accuracy": 0.7541297495365142,
"step": 870
},
{
"epoch": 1.943907156673114,
"grad_norm": 1.75,
"learning_rate": 7.982261640798226e-06,
"loss": 0.8971,
"mean_token_accuracy": 0.7586074694991112,
"step": 880
},
{
"epoch": 1.9660127106935619,
"grad_norm": 1.5546875,
"learning_rate": 4.656319290465632e-06,
"loss": 0.9251,
"mean_token_accuracy": 0.7490280956029892,
"step": 890
},
{
"epoch": 1.9881182647140094,
"grad_norm": 1.671875,
"learning_rate": 1.3303769401330375e-06,
"loss": 0.9005,
"mean_token_accuracy": 0.7555492661893368,
"step": 900
},
{
"epoch": 1.9881182647140094,
"eval_loss": 1.4004004001617432,
"eval_mean_token_accuracy": 0.6744482210188201,
"eval_runtime": 21.4879,
"eval_samples_per_second": 36.765,
"eval_steps_per_second": 4.607,
"step": 900
}
],
"logging_steps": 10,
"max_steps": 904,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 200,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.7777625251882496e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}