Muhammad Khalifa
add plan model 7b
f507001
raw
history blame
60.8 kB
{
"best_metric": 0.7489736080169678,
"best_model_checkpoint": "checkpoints/instrucode/with_input/decomp_plan/llama-2-7b/checkpoint-4600",
"epoch": 2.958199356913183,
"eval_steps": 200,
"global_step": 4600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 2.9999999999999997e-05,
"loss": 1.616,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 5.9999999999999995e-05,
"loss": 1.5251,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 8.999999999999999e-05,
"loss": 1.3375,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 0.00011999999999999999,
"loss": 1.0578,
"step": 40
},
{
"epoch": 0.03,
"learning_rate": 0.00015,
"loss": 0.9937,
"step": 50
},
{
"epoch": 0.04,
"learning_rate": 0.00017999999999999998,
"loss": 0.9623,
"step": 60
},
{
"epoch": 0.05,
"learning_rate": 0.00020999999999999998,
"loss": 0.9619,
"step": 70
},
{
"epoch": 0.05,
"learning_rate": 0.00023999999999999998,
"loss": 0.8903,
"step": 80
},
{
"epoch": 0.06,
"learning_rate": 0.00027,
"loss": 0.872,
"step": 90
},
{
"epoch": 0.06,
"learning_rate": 0.0003,
"loss": 0.873,
"step": 100
},
{
"epoch": 0.07,
"learning_rate": 0.00029960912052117263,
"loss": 0.8698,
"step": 110
},
{
"epoch": 0.08,
"learning_rate": 0.0002992182410423453,
"loss": 0.8579,
"step": 120
},
{
"epoch": 0.08,
"learning_rate": 0.0002988273615635179,
"loss": 0.8908,
"step": 130
},
{
"epoch": 0.09,
"learning_rate": 0.00029843648208469054,
"loss": 0.8485,
"step": 140
},
{
"epoch": 0.1,
"learning_rate": 0.00029804560260586314,
"loss": 0.8484,
"step": 150
},
{
"epoch": 0.1,
"learning_rate": 0.0002976547231270358,
"loss": 0.8501,
"step": 160
},
{
"epoch": 0.11,
"learning_rate": 0.00029726384364820845,
"loss": 0.8702,
"step": 170
},
{
"epoch": 0.12,
"learning_rate": 0.00029687296416938105,
"loss": 0.8489,
"step": 180
},
{
"epoch": 0.12,
"learning_rate": 0.0002964820846905537,
"loss": 0.8231,
"step": 190
},
{
"epoch": 0.13,
"learning_rate": 0.00029609120521172636,
"loss": 0.8268,
"step": 200
},
{
"epoch": 0.13,
"eval_loss": 0.8351926207542419,
"eval_runtime": 184.9393,
"eval_samples_per_second": 10.814,
"eval_steps_per_second": 1.352,
"step": 200
},
{
"epoch": 0.14,
"learning_rate": 0.000295700325732899,
"loss": 0.831,
"step": 210
},
{
"epoch": 0.14,
"learning_rate": 0.0002953094462540716,
"loss": 0.8504,
"step": 220
},
{
"epoch": 0.15,
"learning_rate": 0.0002949185667752443,
"loss": 0.8159,
"step": 230
},
{
"epoch": 0.15,
"learning_rate": 0.00029452768729641693,
"loss": 0.8278,
"step": 240
},
{
"epoch": 0.16,
"learning_rate": 0.00029413680781758953,
"loss": 0.8202,
"step": 250
},
{
"epoch": 0.17,
"learning_rate": 0.0002937459283387622,
"loss": 0.8194,
"step": 260
},
{
"epoch": 0.17,
"learning_rate": 0.00029335504885993484,
"loss": 0.8035,
"step": 270
},
{
"epoch": 0.18,
"learning_rate": 0.00029296416938110744,
"loss": 0.8088,
"step": 280
},
{
"epoch": 0.19,
"learning_rate": 0.0002925732899022801,
"loss": 0.8261,
"step": 290
},
{
"epoch": 0.19,
"learning_rate": 0.00029218241042345275,
"loss": 0.8228,
"step": 300
},
{
"epoch": 0.2,
"learning_rate": 0.0002917915309446254,
"loss": 0.8105,
"step": 310
},
{
"epoch": 0.21,
"learning_rate": 0.000291400651465798,
"loss": 0.8173,
"step": 320
},
{
"epoch": 0.21,
"learning_rate": 0.00029100977198697066,
"loss": 0.8167,
"step": 330
},
{
"epoch": 0.22,
"learning_rate": 0.00029061889250814327,
"loss": 0.8196,
"step": 340
},
{
"epoch": 0.23,
"learning_rate": 0.0002902280130293159,
"loss": 0.8208,
"step": 350
},
{
"epoch": 0.23,
"learning_rate": 0.0002898371335504886,
"loss": 0.8112,
"step": 360
},
{
"epoch": 0.24,
"learning_rate": 0.00028944625407166123,
"loss": 0.7977,
"step": 370
},
{
"epoch": 0.24,
"learning_rate": 0.0002890553745928339,
"loss": 0.8114,
"step": 380
},
{
"epoch": 0.25,
"learning_rate": 0.0002886644951140065,
"loss": 0.8101,
"step": 390
},
{
"epoch": 0.26,
"learning_rate": 0.00028827361563517914,
"loss": 0.8098,
"step": 400
},
{
"epoch": 0.26,
"eval_loss": 0.8081860542297363,
"eval_runtime": 185.1672,
"eval_samples_per_second": 10.801,
"eval_steps_per_second": 1.35,
"step": 400
},
{
"epoch": 0.26,
"learning_rate": 0.00028788273615635174,
"loss": 0.8183,
"step": 410
},
{
"epoch": 0.27,
"learning_rate": 0.0002874918566775244,
"loss": 0.8198,
"step": 420
},
{
"epoch": 0.28,
"learning_rate": 0.00028710097719869705,
"loss": 0.8108,
"step": 430
},
{
"epoch": 0.28,
"learning_rate": 0.00028671009771986966,
"loss": 0.8164,
"step": 440
},
{
"epoch": 0.29,
"learning_rate": 0.0002863192182410423,
"loss": 0.8111,
"step": 450
},
{
"epoch": 0.3,
"learning_rate": 0.00028592833876221497,
"loss": 0.7942,
"step": 460
},
{
"epoch": 0.3,
"learning_rate": 0.0002855374592833876,
"loss": 0.8058,
"step": 470
},
{
"epoch": 0.31,
"learning_rate": 0.0002851465798045602,
"loss": 0.7998,
"step": 480
},
{
"epoch": 0.32,
"learning_rate": 0.0002847557003257329,
"loss": 0.8095,
"step": 490
},
{
"epoch": 0.32,
"learning_rate": 0.0002843648208469055,
"loss": 0.8147,
"step": 500
},
{
"epoch": 0.33,
"learning_rate": 0.00028397394136807813,
"loss": 0.8131,
"step": 510
},
{
"epoch": 0.33,
"learning_rate": 0.0002835830618892508,
"loss": 0.7979,
"step": 520
},
{
"epoch": 0.34,
"learning_rate": 0.00028319218241042344,
"loss": 0.8035,
"step": 530
},
{
"epoch": 0.35,
"learning_rate": 0.00028280130293159605,
"loss": 0.7957,
"step": 540
},
{
"epoch": 0.35,
"learning_rate": 0.0002824104234527687,
"loss": 0.8185,
"step": 550
},
{
"epoch": 0.36,
"learning_rate": 0.00028201954397394136,
"loss": 0.7836,
"step": 560
},
{
"epoch": 0.37,
"learning_rate": 0.000281628664495114,
"loss": 0.8297,
"step": 570
},
{
"epoch": 0.37,
"learning_rate": 0.0002812377850162866,
"loss": 0.7929,
"step": 580
},
{
"epoch": 0.38,
"learning_rate": 0.00028084690553745927,
"loss": 0.7956,
"step": 590
},
{
"epoch": 0.39,
"learning_rate": 0.00028045602605863187,
"loss": 0.7778,
"step": 600
},
{
"epoch": 0.39,
"eval_loss": 0.7940636873245239,
"eval_runtime": 185.1799,
"eval_samples_per_second": 10.8,
"eval_steps_per_second": 1.35,
"step": 600
},
{
"epoch": 0.39,
"learning_rate": 0.0002800651465798045,
"loss": 0.795,
"step": 610
},
{
"epoch": 0.4,
"learning_rate": 0.0002796742671009772,
"loss": 0.7999,
"step": 620
},
{
"epoch": 0.41,
"learning_rate": 0.00027928338762214983,
"loss": 0.7887,
"step": 630
},
{
"epoch": 0.41,
"learning_rate": 0.00027889250814332244,
"loss": 0.7765,
"step": 640
},
{
"epoch": 0.42,
"learning_rate": 0.0002785016286644951,
"loss": 0.7885,
"step": 650
},
{
"epoch": 0.42,
"learning_rate": 0.00027811074918566775,
"loss": 0.7847,
"step": 660
},
{
"epoch": 0.43,
"learning_rate": 0.00027771986970684035,
"loss": 0.7928,
"step": 670
},
{
"epoch": 0.44,
"learning_rate": 0.000277328990228013,
"loss": 0.768,
"step": 680
},
{
"epoch": 0.44,
"learning_rate": 0.00027693811074918566,
"loss": 0.7943,
"step": 690
},
{
"epoch": 0.45,
"learning_rate": 0.00027654723127035826,
"loss": 0.7936,
"step": 700
},
{
"epoch": 0.46,
"learning_rate": 0.0002761563517915309,
"loss": 0.7887,
"step": 710
},
{
"epoch": 0.46,
"learning_rate": 0.00027576547231270357,
"loss": 0.8029,
"step": 720
},
{
"epoch": 0.47,
"learning_rate": 0.0002753745928338762,
"loss": 0.7891,
"step": 730
},
{
"epoch": 0.48,
"learning_rate": 0.0002749837133550488,
"loss": 0.7803,
"step": 740
},
{
"epoch": 0.48,
"learning_rate": 0.0002745928338762215,
"loss": 0.7781,
"step": 750
},
{
"epoch": 0.49,
"learning_rate": 0.0002742019543973941,
"loss": 0.8151,
"step": 760
},
{
"epoch": 0.5,
"learning_rate": 0.00027381107491856674,
"loss": 0.7623,
"step": 770
},
{
"epoch": 0.5,
"learning_rate": 0.0002734201954397394,
"loss": 0.7673,
"step": 780
},
{
"epoch": 0.51,
"learning_rate": 0.00027302931596091205,
"loss": 0.7691,
"step": 790
},
{
"epoch": 0.51,
"learning_rate": 0.00027263843648208465,
"loss": 0.8055,
"step": 800
},
{
"epoch": 0.51,
"eval_loss": 0.7852708697319031,
"eval_runtime": 185.5285,
"eval_samples_per_second": 10.78,
"eval_steps_per_second": 1.348,
"step": 800
},
{
"epoch": 0.52,
"learning_rate": 0.0002722475570032573,
"loss": 0.7996,
"step": 810
},
{
"epoch": 0.53,
"learning_rate": 0.00027185667752442996,
"loss": 0.7933,
"step": 820
},
{
"epoch": 0.53,
"learning_rate": 0.0002714657980456026,
"loss": 0.7955,
"step": 830
},
{
"epoch": 0.54,
"learning_rate": 0.0002710749185667752,
"loss": 0.787,
"step": 840
},
{
"epoch": 0.55,
"learning_rate": 0.00027068403908794787,
"loss": 0.772,
"step": 850
},
{
"epoch": 0.55,
"learning_rate": 0.00027029315960912047,
"loss": 0.7873,
"step": 860
},
{
"epoch": 0.56,
"learning_rate": 0.0002699022801302931,
"loss": 0.7965,
"step": 870
},
{
"epoch": 0.57,
"learning_rate": 0.0002695114006514658,
"loss": 0.7966,
"step": 880
},
{
"epoch": 0.57,
"learning_rate": 0.00026912052117263844,
"loss": 0.7822,
"step": 890
},
{
"epoch": 0.58,
"learning_rate": 0.00026872964169381104,
"loss": 0.7949,
"step": 900
},
{
"epoch": 0.59,
"learning_rate": 0.0002683387622149837,
"loss": 0.7949,
"step": 910
},
{
"epoch": 0.59,
"learning_rate": 0.00026794788273615635,
"loss": 0.7648,
"step": 920
},
{
"epoch": 0.6,
"learning_rate": 0.00026755700325732895,
"loss": 0.7895,
"step": 930
},
{
"epoch": 0.6,
"learning_rate": 0.0002671661237785016,
"loss": 0.7815,
"step": 940
},
{
"epoch": 0.61,
"learning_rate": 0.0002667752442996742,
"loss": 0.7917,
"step": 950
},
{
"epoch": 0.62,
"learning_rate": 0.00026638436482084686,
"loss": 0.7845,
"step": 960
},
{
"epoch": 0.62,
"learning_rate": 0.0002659934853420195,
"loss": 0.7969,
"step": 970
},
{
"epoch": 0.63,
"learning_rate": 0.00026560260586319217,
"loss": 0.7837,
"step": 980
},
{
"epoch": 0.64,
"learning_rate": 0.0002652117263843648,
"loss": 0.7791,
"step": 990
},
{
"epoch": 0.64,
"learning_rate": 0.00026482084690553743,
"loss": 0.7949,
"step": 1000
},
{
"epoch": 0.64,
"eval_loss": 0.7794002890586853,
"eval_runtime": 185.3123,
"eval_samples_per_second": 10.793,
"eval_steps_per_second": 1.349,
"step": 1000
},
{
"epoch": 0.65,
"learning_rate": 0.0002644299674267101,
"loss": 0.8007,
"step": 1010
},
{
"epoch": 0.66,
"learning_rate": 0.0002640390879478827,
"loss": 0.7807,
"step": 1020
},
{
"epoch": 0.66,
"learning_rate": 0.00026364820846905534,
"loss": 0.798,
"step": 1030
},
{
"epoch": 0.67,
"learning_rate": 0.000263257328990228,
"loss": 0.7893,
"step": 1040
},
{
"epoch": 0.68,
"learning_rate": 0.0002628664495114006,
"loss": 0.7684,
"step": 1050
},
{
"epoch": 0.68,
"learning_rate": 0.00026247557003257325,
"loss": 0.7835,
"step": 1060
},
{
"epoch": 0.69,
"learning_rate": 0.0002620846905537459,
"loss": 0.7534,
"step": 1070
},
{
"epoch": 0.69,
"learning_rate": 0.00026169381107491856,
"loss": 0.7922,
"step": 1080
},
{
"epoch": 0.7,
"learning_rate": 0.0002613029315960912,
"loss": 0.7851,
"step": 1090
},
{
"epoch": 0.71,
"learning_rate": 0.0002609120521172638,
"loss": 0.7935,
"step": 1100
},
{
"epoch": 0.71,
"learning_rate": 0.0002605211726384365,
"loss": 0.8018,
"step": 1110
},
{
"epoch": 0.72,
"learning_rate": 0.0002601302931596091,
"loss": 0.7629,
"step": 1120
},
{
"epoch": 0.73,
"learning_rate": 0.00025973941368078173,
"loss": 0.7813,
"step": 1130
},
{
"epoch": 0.73,
"learning_rate": 0.0002593485342019544,
"loss": 0.7662,
"step": 1140
},
{
"epoch": 0.74,
"learning_rate": 0.00025895765472312704,
"loss": 0.761,
"step": 1150
},
{
"epoch": 0.75,
"learning_rate": 0.00025856677524429964,
"loss": 0.7757,
"step": 1160
},
{
"epoch": 0.75,
"learning_rate": 0.0002581758957654723,
"loss": 0.7695,
"step": 1170
},
{
"epoch": 0.76,
"learning_rate": 0.00025778501628664495,
"loss": 0.7699,
"step": 1180
},
{
"epoch": 0.77,
"learning_rate": 0.00025739413680781755,
"loss": 0.7843,
"step": 1190
},
{
"epoch": 0.77,
"learning_rate": 0.0002570032573289902,
"loss": 0.774,
"step": 1200
},
{
"epoch": 0.77,
"eval_loss": 0.7737606167793274,
"eval_runtime": 185.305,
"eval_samples_per_second": 10.793,
"eval_steps_per_second": 1.349,
"step": 1200
},
{
"epoch": 0.78,
"learning_rate": 0.0002566123778501628,
"loss": 0.7607,
"step": 1210
},
{
"epoch": 0.78,
"learning_rate": 0.00025622149837133546,
"loss": 0.7681,
"step": 1220
},
{
"epoch": 0.79,
"learning_rate": 0.0002558306188925081,
"loss": 0.7774,
"step": 1230
},
{
"epoch": 0.8,
"learning_rate": 0.0002554397394136808,
"loss": 0.7837,
"step": 1240
},
{
"epoch": 0.8,
"learning_rate": 0.00025504885993485343,
"loss": 0.7869,
"step": 1250
},
{
"epoch": 0.81,
"learning_rate": 0.00025465798045602603,
"loss": 0.7491,
"step": 1260
},
{
"epoch": 0.82,
"learning_rate": 0.0002542671009771987,
"loss": 0.7723,
"step": 1270
},
{
"epoch": 0.82,
"learning_rate": 0.0002538762214983713,
"loss": 0.7748,
"step": 1280
},
{
"epoch": 0.83,
"learning_rate": 0.00025348534201954394,
"loss": 0.7709,
"step": 1290
},
{
"epoch": 0.84,
"learning_rate": 0.0002530944625407166,
"loss": 0.7809,
"step": 1300
},
{
"epoch": 0.84,
"learning_rate": 0.0002527035830618892,
"loss": 0.7487,
"step": 1310
},
{
"epoch": 0.85,
"learning_rate": 0.00025231270358306185,
"loss": 0.7925,
"step": 1320
},
{
"epoch": 0.86,
"learning_rate": 0.0002519218241042345,
"loss": 0.7713,
"step": 1330
},
{
"epoch": 0.86,
"learning_rate": 0.00025153094462540716,
"loss": 0.7681,
"step": 1340
},
{
"epoch": 0.87,
"learning_rate": 0.0002511400651465798,
"loss": 0.7546,
"step": 1350
},
{
"epoch": 0.87,
"learning_rate": 0.0002507491856677524,
"loss": 0.7953,
"step": 1360
},
{
"epoch": 0.88,
"learning_rate": 0.0002503583061889251,
"loss": 0.7559,
"step": 1370
},
{
"epoch": 0.89,
"learning_rate": 0.0002499674267100977,
"loss": 0.7703,
"step": 1380
},
{
"epoch": 0.89,
"learning_rate": 0.00024957654723127033,
"loss": 0.7867,
"step": 1390
},
{
"epoch": 0.9,
"learning_rate": 0.000249185667752443,
"loss": 0.7526,
"step": 1400
},
{
"epoch": 0.9,
"eval_loss": 0.7698599696159363,
"eval_runtime": 186.0927,
"eval_samples_per_second": 10.747,
"eval_steps_per_second": 1.343,
"step": 1400
},
{
"epoch": 0.91,
"learning_rate": 0.0002487947882736156,
"loss": 0.78,
"step": 1410
},
{
"epoch": 0.91,
"learning_rate": 0.00024840390879478824,
"loss": 0.7691,
"step": 1420
},
{
"epoch": 0.92,
"learning_rate": 0.0002480130293159609,
"loss": 0.7588,
"step": 1430
},
{
"epoch": 0.93,
"learning_rate": 0.00024762214983713355,
"loss": 0.764,
"step": 1440
},
{
"epoch": 0.93,
"learning_rate": 0.00024723127035830616,
"loss": 0.7969,
"step": 1450
},
{
"epoch": 0.94,
"learning_rate": 0.0002468403908794788,
"loss": 0.7578,
"step": 1460
},
{
"epoch": 0.95,
"learning_rate": 0.0002464495114006514,
"loss": 0.7426,
"step": 1470
},
{
"epoch": 0.95,
"learning_rate": 0.00024605863192182407,
"loss": 0.7909,
"step": 1480
},
{
"epoch": 0.96,
"learning_rate": 0.0002456677524429967,
"loss": 0.7635,
"step": 1490
},
{
"epoch": 0.96,
"learning_rate": 0.0002452768729641694,
"loss": 0.7539,
"step": 1500
},
{
"epoch": 0.97,
"learning_rate": 0.00024488599348534203,
"loss": 0.7742,
"step": 1510
},
{
"epoch": 0.98,
"learning_rate": 0.00024449511400651463,
"loss": 0.7637,
"step": 1520
},
{
"epoch": 0.98,
"learning_rate": 0.00024410423452768726,
"loss": 0.7846,
"step": 1530
},
{
"epoch": 0.99,
"learning_rate": 0.00024371335504885992,
"loss": 0.7723,
"step": 1540
},
{
"epoch": 1.0,
"learning_rate": 0.00024332247557003257,
"loss": 0.7525,
"step": 1550
},
{
"epoch": 1.0,
"learning_rate": 0.0002429315960912052,
"loss": 0.7614,
"step": 1560
},
{
"epoch": 1.01,
"learning_rate": 0.00024254071661237783,
"loss": 0.758,
"step": 1570
},
{
"epoch": 1.02,
"learning_rate": 0.00024214983713355046,
"loss": 0.7427,
"step": 1580
},
{
"epoch": 1.02,
"learning_rate": 0.0002417589576547231,
"loss": 0.7309,
"step": 1590
},
{
"epoch": 1.03,
"learning_rate": 0.00024136807817589574,
"loss": 0.7298,
"step": 1600
},
{
"epoch": 1.03,
"eval_loss": 0.7665953040122986,
"eval_runtime": 185.4725,
"eval_samples_per_second": 10.783,
"eval_steps_per_second": 1.348,
"step": 1600
},
{
"epoch": 1.04,
"learning_rate": 0.0002409771986970684,
"loss": 0.7318,
"step": 1610
},
{
"epoch": 1.04,
"learning_rate": 0.000240586319218241,
"loss": 0.7349,
"step": 1620
},
{
"epoch": 1.05,
"learning_rate": 0.00024019543973941365,
"loss": 0.735,
"step": 1630
},
{
"epoch": 1.05,
"learning_rate": 0.0002398045602605863,
"loss": 0.7397,
"step": 1640
},
{
"epoch": 1.06,
"learning_rate": 0.00023941368078175893,
"loss": 0.7393,
"step": 1650
},
{
"epoch": 1.07,
"learning_rate": 0.0002390228013029316,
"loss": 0.751,
"step": 1660
},
{
"epoch": 1.07,
"learning_rate": 0.0002386319218241042,
"loss": 0.7342,
"step": 1670
},
{
"epoch": 1.08,
"learning_rate": 0.00023824104234527685,
"loss": 0.747,
"step": 1680
},
{
"epoch": 1.09,
"learning_rate": 0.0002378501628664495,
"loss": 0.7433,
"step": 1690
},
{
"epoch": 1.09,
"learning_rate": 0.00023745928338762213,
"loss": 0.7217,
"step": 1700
},
{
"epoch": 1.1,
"learning_rate": 0.00023706840390879478,
"loss": 0.7547,
"step": 1710
},
{
"epoch": 1.11,
"learning_rate": 0.00023667752442996739,
"loss": 0.7318,
"step": 1720
},
{
"epoch": 1.11,
"learning_rate": 0.00023628664495114004,
"loss": 0.7477,
"step": 1730
},
{
"epoch": 1.12,
"learning_rate": 0.00023589576547231267,
"loss": 0.7219,
"step": 1740
},
{
"epoch": 1.13,
"learning_rate": 0.00023550488599348532,
"loss": 0.721,
"step": 1750
},
{
"epoch": 1.13,
"learning_rate": 0.00023511400651465798,
"loss": 0.7286,
"step": 1760
},
{
"epoch": 1.14,
"learning_rate": 0.00023472312703583058,
"loss": 0.7326,
"step": 1770
},
{
"epoch": 1.14,
"learning_rate": 0.00023433224755700324,
"loss": 0.7373,
"step": 1780
},
{
"epoch": 1.15,
"learning_rate": 0.00023394136807817586,
"loss": 0.7442,
"step": 1790
},
{
"epoch": 1.16,
"learning_rate": 0.00023355048859934852,
"loss": 0.7191,
"step": 1800
},
{
"epoch": 1.16,
"eval_loss": 0.7630789279937744,
"eval_runtime": 186.1873,
"eval_samples_per_second": 10.742,
"eval_steps_per_second": 1.343,
"step": 1800
},
{
"epoch": 1.16,
"learning_rate": 0.00023315960912052117,
"loss": 0.7362,
"step": 1810
},
{
"epoch": 1.17,
"learning_rate": 0.00023276872964169378,
"loss": 0.7387,
"step": 1820
},
{
"epoch": 1.18,
"learning_rate": 0.00023237785016286643,
"loss": 0.7343,
"step": 1830
},
{
"epoch": 1.18,
"learning_rate": 0.00023198697068403906,
"loss": 0.7117,
"step": 1840
},
{
"epoch": 1.19,
"learning_rate": 0.00023159609120521171,
"loss": 0.757,
"step": 1850
},
{
"epoch": 1.2,
"learning_rate": 0.00023120521172638434,
"loss": 0.7408,
"step": 1860
},
{
"epoch": 1.2,
"learning_rate": 0.000230814332247557,
"loss": 0.7424,
"step": 1870
},
{
"epoch": 1.21,
"learning_rate": 0.0002304234527687296,
"loss": 0.7284,
"step": 1880
},
{
"epoch": 1.22,
"learning_rate": 0.00023003257328990225,
"loss": 0.7552,
"step": 1890
},
{
"epoch": 1.22,
"learning_rate": 0.0002296416938110749,
"loss": 0.7368,
"step": 1900
},
{
"epoch": 1.23,
"learning_rate": 0.00022925081433224754,
"loss": 0.7248,
"step": 1910
},
{
"epoch": 1.23,
"learning_rate": 0.0002288599348534202,
"loss": 0.7228,
"step": 1920
},
{
"epoch": 1.24,
"learning_rate": 0.0002284690553745928,
"loss": 0.7206,
"step": 1930
},
{
"epoch": 1.25,
"learning_rate": 0.00022807817589576545,
"loss": 0.718,
"step": 1940
},
{
"epoch": 1.25,
"learning_rate": 0.0002276872964169381,
"loss": 0.7415,
"step": 1950
},
{
"epoch": 1.26,
"learning_rate": 0.00022729641693811073,
"loss": 0.724,
"step": 1960
},
{
"epoch": 1.27,
"learning_rate": 0.0002269055374592834,
"loss": 0.7408,
"step": 1970
},
{
"epoch": 1.27,
"learning_rate": 0.000226514657980456,
"loss": 0.7533,
"step": 1980
},
{
"epoch": 1.28,
"learning_rate": 0.00022612377850162864,
"loss": 0.7462,
"step": 1990
},
{
"epoch": 1.29,
"learning_rate": 0.00022573289902280127,
"loss": 0.7,
"step": 2000
},
{
"epoch": 1.29,
"eval_loss": 0.7622774243354797,
"eval_runtime": 185.2663,
"eval_samples_per_second": 10.795,
"eval_steps_per_second": 1.349,
"step": 2000
},
{
"epoch": 1.29,
"learning_rate": 0.00022534201954397393,
"loss": 0.7393,
"step": 2010
},
{
"epoch": 1.3,
"learning_rate": 0.00022495114006514658,
"loss": 0.7304,
"step": 2020
},
{
"epoch": 1.31,
"learning_rate": 0.00022456026058631918,
"loss": 0.7421,
"step": 2030
},
{
"epoch": 1.31,
"learning_rate": 0.00022416938110749184,
"loss": 0.7484,
"step": 2040
},
{
"epoch": 1.32,
"learning_rate": 0.00022377850162866447,
"loss": 0.7157,
"step": 2050
},
{
"epoch": 1.32,
"learning_rate": 0.00022338762214983712,
"loss": 0.7477,
"step": 2060
},
{
"epoch": 1.33,
"learning_rate": 0.00022299674267100978,
"loss": 0.7533,
"step": 2070
},
{
"epoch": 1.34,
"learning_rate": 0.00022260586319218238,
"loss": 0.732,
"step": 2080
},
{
"epoch": 1.34,
"learning_rate": 0.00022221498371335503,
"loss": 0.7661,
"step": 2090
},
{
"epoch": 1.35,
"learning_rate": 0.00022182410423452766,
"loss": 0.7477,
"step": 2100
},
{
"epoch": 1.36,
"learning_rate": 0.00022143322475570032,
"loss": 0.7431,
"step": 2110
},
{
"epoch": 1.36,
"learning_rate": 0.00022104234527687295,
"loss": 0.734,
"step": 2120
},
{
"epoch": 1.37,
"learning_rate": 0.00022065146579804557,
"loss": 0.7444,
"step": 2130
},
{
"epoch": 1.38,
"learning_rate": 0.0002202605863192182,
"loss": 0.738,
"step": 2140
},
{
"epoch": 1.38,
"learning_rate": 0.00021986970684039086,
"loss": 0.7391,
"step": 2150
},
{
"epoch": 1.39,
"learning_rate": 0.0002194788273615635,
"loss": 0.7383,
"step": 2160
},
{
"epoch": 1.4,
"learning_rate": 0.00021908794788273614,
"loss": 0.7176,
"step": 2170
},
{
"epoch": 1.4,
"learning_rate": 0.00021873615635179151,
"loss": 0.747,
"step": 2180
},
{
"epoch": 1.41,
"learning_rate": 0.00021834527687296414,
"loss": 0.751,
"step": 2190
},
{
"epoch": 1.41,
"learning_rate": 0.00021795439739413677,
"loss": 0.7393,
"step": 2200
},
{
"epoch": 1.41,
"eval_loss": 0.7590416073799133,
"eval_runtime": 185.4936,
"eval_samples_per_second": 10.782,
"eval_steps_per_second": 1.348,
"step": 2200
},
{
"epoch": 1.42,
"learning_rate": 0.00021756351791530943,
"loss": 0.7333,
"step": 2210
},
{
"epoch": 1.43,
"learning_rate": 0.00021717263843648208,
"loss": 0.7235,
"step": 2220
},
{
"epoch": 1.43,
"learning_rate": 0.0002167817589576547,
"loss": 0.7544,
"step": 2230
},
{
"epoch": 1.44,
"learning_rate": 0.00021639087947882734,
"loss": 0.7369,
"step": 2240
},
{
"epoch": 1.45,
"learning_rate": 0.00021599999999999996,
"loss": 0.7382,
"step": 2250
},
{
"epoch": 1.45,
"learning_rate": 0.00021560912052117262,
"loss": 0.75,
"step": 2260
},
{
"epoch": 1.46,
"learning_rate": 0.00021521824104234528,
"loss": 0.7474,
"step": 2270
},
{
"epoch": 1.47,
"learning_rate": 0.0002148273615635179,
"loss": 0.73,
"step": 2280
},
{
"epoch": 1.47,
"learning_rate": 0.00021443648208469053,
"loss": 0.7401,
"step": 2290
},
{
"epoch": 1.48,
"learning_rate": 0.00021404560260586316,
"loss": 0.7163,
"step": 2300
},
{
"epoch": 1.49,
"learning_rate": 0.00021365472312703581,
"loss": 0.7404,
"step": 2310
},
{
"epoch": 1.49,
"learning_rate": 0.00021326384364820844,
"loss": 0.7339,
"step": 2320
},
{
"epoch": 1.5,
"learning_rate": 0.0002128729641693811,
"loss": 0.7373,
"step": 2330
},
{
"epoch": 1.5,
"learning_rate": 0.0002124820846905537,
"loss": 0.7026,
"step": 2340
},
{
"epoch": 1.51,
"learning_rate": 0.00021209120521172635,
"loss": 0.7349,
"step": 2350
},
{
"epoch": 1.52,
"learning_rate": 0.000211700325732899,
"loss": 0.7561,
"step": 2360
},
{
"epoch": 1.52,
"learning_rate": 0.00021130944625407164,
"loss": 0.7258,
"step": 2370
},
{
"epoch": 1.53,
"learning_rate": 0.0002109185667752443,
"loss": 0.7309,
"step": 2380
},
{
"epoch": 1.54,
"learning_rate": 0.00021052768729641695,
"loss": 0.7343,
"step": 2390
},
{
"epoch": 1.54,
"learning_rate": 0.00021013680781758955,
"loss": 0.7191,
"step": 2400
},
{
"epoch": 1.54,
"eval_loss": 0.7568334937095642,
"eval_runtime": 185.2269,
"eval_samples_per_second": 10.798,
"eval_steps_per_second": 1.35,
"step": 2400
},
{
"epoch": 1.55,
"learning_rate": 0.0002097459283387622,
"loss": 0.7532,
"step": 2410
},
{
"epoch": 1.56,
"learning_rate": 0.00020935504885993483,
"loss": 0.7308,
"step": 2420
},
{
"epoch": 1.56,
"learning_rate": 0.0002089641693811075,
"loss": 0.7167,
"step": 2430
},
{
"epoch": 1.57,
"learning_rate": 0.00020857328990228012,
"loss": 0.7371,
"step": 2440
},
{
"epoch": 1.58,
"learning_rate": 0.00020818241042345274,
"loss": 0.7317,
"step": 2450
},
{
"epoch": 1.58,
"learning_rate": 0.00020779153094462537,
"loss": 0.7253,
"step": 2460
},
{
"epoch": 1.59,
"learning_rate": 0.00020740065146579803,
"loss": 0.7477,
"step": 2470
},
{
"epoch": 1.59,
"learning_rate": 0.00020700977198697068,
"loss": 0.7493,
"step": 2480
},
{
"epoch": 1.6,
"learning_rate": 0.0002066188925081433,
"loss": 0.7255,
"step": 2490
},
{
"epoch": 1.61,
"learning_rate": 0.00020622801302931594,
"loss": 0.7455,
"step": 2500
},
{
"epoch": 1.61,
"learning_rate": 0.00020583713355048857,
"loss": 0.7205,
"step": 2510
},
{
"epoch": 1.62,
"learning_rate": 0.00020544625407166122,
"loss": 0.7456,
"step": 2520
},
{
"epoch": 1.63,
"learning_rate": 0.00020505537459283388,
"loss": 0.7179,
"step": 2530
},
{
"epoch": 1.63,
"learning_rate": 0.0002046644951140065,
"loss": 0.7284,
"step": 2540
},
{
"epoch": 1.64,
"learning_rate": 0.00020427361563517913,
"loss": 0.7428,
"step": 2550
},
{
"epoch": 1.65,
"learning_rate": 0.00020388273615635176,
"loss": 0.7267,
"step": 2560
},
{
"epoch": 1.65,
"learning_rate": 0.00020349185667752442,
"loss": 0.7395,
"step": 2570
},
{
"epoch": 1.66,
"learning_rate": 0.00020310097719869705,
"loss": 0.7205,
"step": 2580
},
{
"epoch": 1.67,
"learning_rate": 0.0002027100977198697,
"loss": 0.7238,
"step": 2590
},
{
"epoch": 1.67,
"learning_rate": 0.0002023192182410423,
"loss": 0.7572,
"step": 2600
},
{
"epoch": 1.67,
"eval_loss": 0.7548864483833313,
"eval_runtime": 185.0436,
"eval_samples_per_second": 10.808,
"eval_steps_per_second": 1.351,
"step": 2600
},
{
"epoch": 1.68,
"learning_rate": 0.00020192833876221496,
"loss": 0.7458,
"step": 2610
},
{
"epoch": 1.68,
"learning_rate": 0.0002015374592833876,
"loss": 0.7369,
"step": 2620
},
{
"epoch": 1.69,
"learning_rate": 0.00020114657980456024,
"loss": 0.7367,
"step": 2630
},
{
"epoch": 1.7,
"learning_rate": 0.0002007557003257329,
"loss": 0.7562,
"step": 2640
},
{
"epoch": 1.7,
"learning_rate": 0.0002003648208469055,
"loss": 0.7438,
"step": 2650
},
{
"epoch": 1.71,
"learning_rate": 0.00019997394136807815,
"loss": 0.7323,
"step": 2660
},
{
"epoch": 1.72,
"learning_rate": 0.0001995830618892508,
"loss": 0.7398,
"step": 2670
},
{
"epoch": 1.72,
"learning_rate": 0.00019919218241042344,
"loss": 0.7424,
"step": 2680
},
{
"epoch": 1.73,
"learning_rate": 0.0001988013029315961,
"loss": 0.735,
"step": 2690
},
{
"epoch": 1.74,
"learning_rate": 0.0001984104234527687,
"loss": 0.7102,
"step": 2700
},
{
"epoch": 1.74,
"learning_rate": 0.00019801954397394135,
"loss": 0.7271,
"step": 2710
},
{
"epoch": 1.75,
"learning_rate": 0.00019762866449511398,
"loss": 0.7332,
"step": 2720
},
{
"epoch": 1.76,
"learning_rate": 0.00019723778501628663,
"loss": 0.7062,
"step": 2730
},
{
"epoch": 1.76,
"learning_rate": 0.00019684690553745929,
"loss": 0.7228,
"step": 2740
},
{
"epoch": 1.77,
"learning_rate": 0.00019645602605863191,
"loss": 0.7216,
"step": 2750
},
{
"epoch": 1.77,
"learning_rate": 0.00019606514657980454,
"loss": 0.7358,
"step": 2760
},
{
"epoch": 1.78,
"learning_rate": 0.00019567426710097717,
"loss": 0.7373,
"step": 2770
},
{
"epoch": 1.79,
"learning_rate": 0.00019528338762214983,
"loss": 0.7214,
"step": 2780
},
{
"epoch": 1.79,
"learning_rate": 0.00019489250814332248,
"loss": 0.695,
"step": 2790
},
{
"epoch": 1.8,
"learning_rate": 0.0001945016286644951,
"loss": 0.738,
"step": 2800
},
{
"epoch": 1.8,
"eval_loss": 0.7532588839530945,
"eval_runtime": 185.3248,
"eval_samples_per_second": 10.792,
"eval_steps_per_second": 1.349,
"step": 2800
},
{
"epoch": 1.81,
"learning_rate": 0.00019411074918566774,
"loss": 0.7249,
"step": 2810
},
{
"epoch": 1.81,
"learning_rate": 0.00019371986970684037,
"loss": 0.7305,
"step": 2820
},
{
"epoch": 1.82,
"learning_rate": 0.00019332899022801302,
"loss": 0.7119,
"step": 2830
},
{
"epoch": 1.83,
"learning_rate": 0.00019293811074918565,
"loss": 0.7215,
"step": 2840
},
{
"epoch": 1.83,
"learning_rate": 0.0001925472312703583,
"loss": 0.7219,
"step": 2850
},
{
"epoch": 1.84,
"learning_rate": 0.0001921563517915309,
"loss": 0.7204,
"step": 2860
},
{
"epoch": 1.85,
"learning_rate": 0.00019176547231270356,
"loss": 0.7209,
"step": 2870
},
{
"epoch": 1.85,
"learning_rate": 0.00019137459283387622,
"loss": 0.7293,
"step": 2880
},
{
"epoch": 1.86,
"learning_rate": 0.00019098371335504884,
"loss": 0.7324,
"step": 2890
},
{
"epoch": 1.86,
"learning_rate": 0.0001905928338762215,
"loss": 0.7256,
"step": 2900
},
{
"epoch": 1.87,
"learning_rate": 0.0001902019543973941,
"loss": 0.7255,
"step": 2910
},
{
"epoch": 1.88,
"learning_rate": 0.00018981107491856675,
"loss": 0.7624,
"step": 2920
},
{
"epoch": 1.88,
"learning_rate": 0.0001894201954397394,
"loss": 0.7005,
"step": 2930
},
{
"epoch": 1.89,
"learning_rate": 0.00018902931596091204,
"loss": 0.7363,
"step": 2940
},
{
"epoch": 1.9,
"learning_rate": 0.0001886384364820847,
"loss": 0.7307,
"step": 2950
},
{
"epoch": 1.9,
"learning_rate": 0.0001882475570032573,
"loss": 0.725,
"step": 2960
},
{
"epoch": 1.91,
"learning_rate": 0.00018785667752442995,
"loss": 0.7456,
"step": 2970
},
{
"epoch": 1.92,
"learning_rate": 0.00018746579804560258,
"loss": 0.7328,
"step": 2980
},
{
"epoch": 1.92,
"learning_rate": 0.00018707491856677523,
"loss": 0.7391,
"step": 2990
},
{
"epoch": 1.93,
"learning_rate": 0.0001866840390879479,
"loss": 0.7163,
"step": 3000
},
{
"epoch": 1.93,
"eval_loss": 0.7519650459289551,
"eval_runtime": 185.5375,
"eval_samples_per_second": 10.779,
"eval_steps_per_second": 1.347,
"step": 3000
},
{
"epoch": 1.94,
"learning_rate": 0.0001862931596091205,
"loss": 0.7083,
"step": 3010
},
{
"epoch": 1.94,
"learning_rate": 0.00018590228013029314,
"loss": 0.7221,
"step": 3020
},
{
"epoch": 1.95,
"learning_rate": 0.00018551140065146577,
"loss": 0.733,
"step": 3030
},
{
"epoch": 1.95,
"learning_rate": 0.00018512052117263843,
"loss": 0.7427,
"step": 3040
},
{
"epoch": 1.96,
"learning_rate": 0.00018472964169381108,
"loss": 0.7329,
"step": 3050
},
{
"epoch": 1.97,
"learning_rate": 0.00018433876221498368,
"loss": 0.7261,
"step": 3060
},
{
"epoch": 1.97,
"learning_rate": 0.00018394788273615634,
"loss": 0.7267,
"step": 3070
},
{
"epoch": 1.98,
"learning_rate": 0.00018355700325732897,
"loss": 0.7216,
"step": 3080
},
{
"epoch": 1.99,
"learning_rate": 0.00018316612377850162,
"loss": 0.7375,
"step": 3090
},
{
"epoch": 1.99,
"learning_rate": 0.00018277524429967425,
"loss": 0.6999,
"step": 3100
},
{
"epoch": 2.0,
"learning_rate": 0.00018238436482084688,
"loss": 0.7157,
"step": 3110
},
{
"epoch": 2.01,
"learning_rate": 0.0001819934853420195,
"loss": 0.678,
"step": 3120
},
{
"epoch": 2.01,
"learning_rate": 0.00018160260586319216,
"loss": 0.704,
"step": 3130
},
{
"epoch": 2.02,
"learning_rate": 0.00018121172638436482,
"loss": 0.6724,
"step": 3140
},
{
"epoch": 2.03,
"learning_rate": 0.00018082084690553745,
"loss": 0.6877,
"step": 3150
},
{
"epoch": 2.03,
"learning_rate": 0.0001804299674267101,
"loss": 0.7152,
"step": 3160
},
{
"epoch": 2.04,
"learning_rate": 0.0001800390879478827,
"loss": 0.6923,
"step": 3170
},
{
"epoch": 2.05,
"learning_rate": 0.00017964820846905536,
"loss": 0.667,
"step": 3180
},
{
"epoch": 2.05,
"learning_rate": 0.000179257328990228,
"loss": 0.6741,
"step": 3190
},
{
"epoch": 2.06,
"learning_rate": 0.00017886644951140064,
"loss": 0.6879,
"step": 3200
},
{
"epoch": 2.06,
"eval_loss": 0.7551190257072449,
"eval_runtime": 185.6642,
"eval_samples_per_second": 10.772,
"eval_steps_per_second": 1.347,
"step": 3200
},
{
"epoch": 2.06,
"learning_rate": 0.0001784755700325733,
"loss": 0.6782,
"step": 3210
},
{
"epoch": 2.07,
"learning_rate": 0.0001780846905537459,
"loss": 0.69,
"step": 3220
},
{
"epoch": 2.08,
"learning_rate": 0.00017769381107491855,
"loss": 0.6785,
"step": 3230
},
{
"epoch": 2.08,
"learning_rate": 0.00017730293159609118,
"loss": 0.6908,
"step": 3240
},
{
"epoch": 2.09,
"learning_rate": 0.00017691205211726384,
"loss": 0.6877,
"step": 3250
},
{
"epoch": 2.1,
"learning_rate": 0.0001765211726384365,
"loss": 0.6598,
"step": 3260
},
{
"epoch": 2.1,
"learning_rate": 0.0001761302931596091,
"loss": 0.6786,
"step": 3270
},
{
"epoch": 2.11,
"learning_rate": 0.00017573941368078175,
"loss": 0.699,
"step": 3280
},
{
"epoch": 2.12,
"learning_rate": 0.00017534853420195438,
"loss": 0.6889,
"step": 3290
},
{
"epoch": 2.12,
"learning_rate": 0.00017495765472312703,
"loss": 0.6925,
"step": 3300
},
{
"epoch": 2.13,
"learning_rate": 0.00017456677524429966,
"loss": 0.6823,
"step": 3310
},
{
"epoch": 2.14,
"learning_rate": 0.0001741758957654723,
"loss": 0.672,
"step": 3320
},
{
"epoch": 2.14,
"learning_rate": 0.00017378501628664494,
"loss": 0.702,
"step": 3330
},
{
"epoch": 2.15,
"learning_rate": 0.00017339413680781757,
"loss": 0.6775,
"step": 3340
},
{
"epoch": 2.15,
"learning_rate": 0.00017300325732899023,
"loss": 0.6821,
"step": 3350
},
{
"epoch": 2.16,
"learning_rate": 0.00017261237785016285,
"loss": 0.6746,
"step": 3360
},
{
"epoch": 2.17,
"learning_rate": 0.00017222149837133548,
"loss": 0.6573,
"step": 3370
},
{
"epoch": 2.17,
"learning_rate": 0.0001718306188925081,
"loss": 0.7045,
"step": 3380
},
{
"epoch": 2.18,
"learning_rate": 0.00017143973941368077,
"loss": 0.6952,
"step": 3390
},
{
"epoch": 2.19,
"learning_rate": 0.00017104885993485342,
"loss": 0.6944,
"step": 3400
},
{
"epoch": 2.19,
"eval_loss": 0.7553194761276245,
"eval_runtime": 185.739,
"eval_samples_per_second": 10.768,
"eval_steps_per_second": 1.346,
"step": 3400
},
{
"epoch": 2.19,
"learning_rate": 0.00017065798045602605,
"loss": 0.682,
"step": 3410
},
{
"epoch": 2.2,
"learning_rate": 0.00017026710097719868,
"loss": 0.7069,
"step": 3420
},
{
"epoch": 2.21,
"learning_rate": 0.0001698762214983713,
"loss": 0.6771,
"step": 3430
},
{
"epoch": 2.21,
"learning_rate": 0.00016948534201954396,
"loss": 0.7152,
"step": 3440
},
{
"epoch": 2.22,
"learning_rate": 0.0001690944625407166,
"loss": 0.6842,
"step": 3450
},
{
"epoch": 2.23,
"learning_rate": 0.00016870358306188924,
"loss": 0.7098,
"step": 3460
},
{
"epoch": 2.23,
"learning_rate": 0.00016831270358306187,
"loss": 0.7196,
"step": 3470
},
{
"epoch": 2.24,
"learning_rate": 0.0001679218241042345,
"loss": 0.695,
"step": 3480
},
{
"epoch": 2.24,
"learning_rate": 0.00016753094462540716,
"loss": 0.706,
"step": 3490
},
{
"epoch": 2.25,
"learning_rate": 0.00016714006514657978,
"loss": 0.6889,
"step": 3500
},
{
"epoch": 2.26,
"learning_rate": 0.00016674918566775244,
"loss": 0.6772,
"step": 3510
},
{
"epoch": 2.26,
"learning_rate": 0.0001663583061889251,
"loss": 0.7214,
"step": 3520
},
{
"epoch": 2.27,
"learning_rate": 0.0001659674267100977,
"loss": 0.6849,
"step": 3530
},
{
"epoch": 2.28,
"learning_rate": 0.00016557654723127035,
"loss": 0.7007,
"step": 3540
},
{
"epoch": 2.28,
"learning_rate": 0.00016518566775244298,
"loss": 0.6973,
"step": 3550
},
{
"epoch": 2.29,
"learning_rate": 0.00016479478827361563,
"loss": 0.7198,
"step": 3560
},
{
"epoch": 2.3,
"learning_rate": 0.00016440390879478826,
"loss": 0.6958,
"step": 3570
},
{
"epoch": 2.3,
"learning_rate": 0.0001640130293159609,
"loss": 0.692,
"step": 3580
},
{
"epoch": 2.31,
"learning_rate": 0.00016362214983713352,
"loss": 0.6965,
"step": 3590
},
{
"epoch": 2.32,
"learning_rate": 0.00016323127035830617,
"loss": 0.6642,
"step": 3600
},
{
"epoch": 2.32,
"eval_loss": 0.7540327310562134,
"eval_runtime": 185.9138,
"eval_samples_per_second": 10.758,
"eval_steps_per_second": 1.345,
"step": 3600
},
{
"epoch": 2.32,
"learning_rate": 0.00016284039087947883,
"loss": 0.6873,
"step": 3610
},
{
"epoch": 2.33,
"learning_rate": 0.00016244951140065146,
"loss": 0.6797,
"step": 3620
},
{
"epoch": 2.33,
"learning_rate": 0.00016205863192182408,
"loss": 0.6979,
"step": 3630
},
{
"epoch": 2.34,
"learning_rate": 0.0001616677524429967,
"loss": 0.7001,
"step": 3640
},
{
"epoch": 2.35,
"learning_rate": 0.00016127687296416937,
"loss": 0.7082,
"step": 3650
},
{
"epoch": 2.35,
"learning_rate": 0.00016088599348534202,
"loss": 0.7059,
"step": 3660
},
{
"epoch": 2.36,
"learning_rate": 0.00016049511400651465,
"loss": 0.6995,
"step": 3670
},
{
"epoch": 2.37,
"learning_rate": 0.00016010423452768728,
"loss": 0.6789,
"step": 3680
},
{
"epoch": 2.37,
"learning_rate": 0.0001597133550488599,
"loss": 0.6902,
"step": 3690
},
{
"epoch": 2.38,
"learning_rate": 0.00015932247557003256,
"loss": 0.7039,
"step": 3700
},
{
"epoch": 2.39,
"learning_rate": 0.0001589315960912052,
"loss": 0.6914,
"step": 3710
},
{
"epoch": 2.39,
"learning_rate": 0.00015854071661237785,
"loss": 0.6811,
"step": 3720
},
{
"epoch": 2.4,
"learning_rate": 0.00015814983713355045,
"loss": 0.6733,
"step": 3730
},
{
"epoch": 2.41,
"learning_rate": 0.0001577589576547231,
"loss": 0.6626,
"step": 3740
},
{
"epoch": 2.41,
"learning_rate": 0.00015736807817589576,
"loss": 0.704,
"step": 3750
},
{
"epoch": 2.42,
"learning_rate": 0.00015697719869706839,
"loss": 0.6941,
"step": 3760
},
{
"epoch": 2.42,
"learning_rate": 0.00015658631921824104,
"loss": 0.6982,
"step": 3770
},
{
"epoch": 2.43,
"learning_rate": 0.00015619543973941364,
"loss": 0.6998,
"step": 3780
},
{
"epoch": 2.44,
"learning_rate": 0.0001558045602605863,
"loss": 0.7003,
"step": 3790
},
{
"epoch": 2.44,
"learning_rate": 0.00015541368078175895,
"loss": 0.7006,
"step": 3800
},
{
"epoch": 2.44,
"eval_loss": 0.7535502314567566,
"eval_runtime": 185.891,
"eval_samples_per_second": 10.759,
"eval_steps_per_second": 1.345,
"step": 3800
},
{
"epoch": 2.45,
"learning_rate": 0.00015502280130293158,
"loss": 0.6891,
"step": 3810
},
{
"epoch": 2.46,
"learning_rate": 0.00015463192182410424,
"loss": 0.6828,
"step": 3820
},
{
"epoch": 2.46,
"learning_rate": 0.00015424104234527684,
"loss": 0.6859,
"step": 3830
},
{
"epoch": 2.47,
"learning_rate": 0.0001538501628664495,
"loss": 0.6896,
"step": 3840
},
{
"epoch": 2.48,
"learning_rate": 0.00015345928338762212,
"loss": 0.694,
"step": 3850
},
{
"epoch": 2.48,
"learning_rate": 0.00015306840390879478,
"loss": 0.7111,
"step": 3860
},
{
"epoch": 2.49,
"learning_rate": 0.00015267752442996743,
"loss": 0.6618,
"step": 3870
},
{
"epoch": 2.5,
"learning_rate": 0.00015228664495114003,
"loss": 0.6858,
"step": 3880
},
{
"epoch": 2.5,
"learning_rate": 0.0001518957654723127,
"loss": 0.7063,
"step": 3890
},
{
"epoch": 2.51,
"learning_rate": 0.00015150488599348532,
"loss": 0.6828,
"step": 3900
},
{
"epoch": 2.51,
"learning_rate": 0.00015111400651465797,
"loss": 0.6846,
"step": 3910
},
{
"epoch": 2.52,
"learning_rate": 0.00015072312703583063,
"loss": 0.6835,
"step": 3920
},
{
"epoch": 2.53,
"learning_rate": 0.00015033224755700325,
"loss": 0.6799,
"step": 3930
},
{
"epoch": 2.53,
"learning_rate": 0.00014994136807817588,
"loss": 0.678,
"step": 3940
},
{
"epoch": 2.54,
"learning_rate": 0.0001495504885993485,
"loss": 0.6848,
"step": 3950
},
{
"epoch": 2.55,
"learning_rate": 0.00014915960912052117,
"loss": 0.6839,
"step": 3960
},
{
"epoch": 2.55,
"learning_rate": 0.0001487687296416938,
"loss": 0.7062,
"step": 3970
},
{
"epoch": 2.56,
"learning_rate": 0.00014837785016286642,
"loss": 0.6831,
"step": 3980
},
{
"epoch": 2.57,
"learning_rate": 0.00014798697068403908,
"loss": 0.6938,
"step": 3990
},
{
"epoch": 2.57,
"learning_rate": 0.0001475960912052117,
"loss": 0.6991,
"step": 4000
},
{
"epoch": 2.57,
"eval_loss": 0.7521887421607971,
"eval_runtime": 185.8289,
"eval_samples_per_second": 10.763,
"eval_steps_per_second": 1.345,
"step": 4000
},
{
"epoch": 2.58,
"learning_rate": 0.00014720521172638436,
"loss": 0.6969,
"step": 4010
},
{
"epoch": 2.59,
"learning_rate": 0.000146814332247557,
"loss": 0.6977,
"step": 4020
},
{
"epoch": 2.59,
"learning_rate": 0.00014642345276872962,
"loss": 0.6786,
"step": 4030
},
{
"epoch": 2.6,
"learning_rate": 0.00014603257328990227,
"loss": 0.7093,
"step": 4040
},
{
"epoch": 2.6,
"learning_rate": 0.0001456416938110749,
"loss": 0.7166,
"step": 4050
},
{
"epoch": 2.61,
"learning_rate": 0.00014525081433224756,
"loss": 0.6865,
"step": 4060
},
{
"epoch": 2.62,
"learning_rate": 0.00014485993485342018,
"loss": 0.7042,
"step": 4070
},
{
"epoch": 2.62,
"learning_rate": 0.0001444690553745928,
"loss": 0.6879,
"step": 4080
},
{
"epoch": 2.63,
"learning_rate": 0.00014407817589576547,
"loss": 0.6843,
"step": 4090
},
{
"epoch": 2.64,
"learning_rate": 0.0001436872964169381,
"loss": 0.6819,
"step": 4100
},
{
"epoch": 2.64,
"learning_rate": 0.00014329641693811072,
"loss": 0.6918,
"step": 4110
},
{
"epoch": 2.65,
"learning_rate": 0.00014290553745928338,
"loss": 0.6747,
"step": 4120
},
{
"epoch": 2.66,
"learning_rate": 0.000142514657980456,
"loss": 0.7034,
"step": 4130
},
{
"epoch": 2.66,
"learning_rate": 0.00014212377850162866,
"loss": 0.6945,
"step": 4140
},
{
"epoch": 2.67,
"learning_rate": 0.0001417328990228013,
"loss": 0.6718,
"step": 4150
},
{
"epoch": 2.68,
"learning_rate": 0.00014134201954397392,
"loss": 0.6768,
"step": 4160
},
{
"epoch": 2.68,
"learning_rate": 0.00014095114006514657,
"loss": 0.6799,
"step": 4170
},
{
"epoch": 2.69,
"learning_rate": 0.0001405602605863192,
"loss": 0.7009,
"step": 4180
},
{
"epoch": 2.69,
"learning_rate": 0.00014016938110749186,
"loss": 0.6575,
"step": 4190
},
{
"epoch": 2.7,
"learning_rate": 0.00013977850162866449,
"loss": 0.6884,
"step": 4200
},
{
"epoch": 2.7,
"eval_loss": 0.750479519367218,
"eval_runtime": 185.8654,
"eval_samples_per_second": 10.76,
"eval_steps_per_second": 1.345,
"step": 4200
},
{
"epoch": 2.71,
"learning_rate": 0.0001393876221498371,
"loss": 0.6961,
"step": 4210
},
{
"epoch": 2.71,
"learning_rate": 0.00013899674267100977,
"loss": 0.7139,
"step": 4220
},
{
"epoch": 2.72,
"learning_rate": 0.0001386058631921824,
"loss": 0.6777,
"step": 4230
},
{
"epoch": 2.73,
"learning_rate": 0.00013821498371335502,
"loss": 0.6911,
"step": 4240
},
{
"epoch": 2.73,
"learning_rate": 0.00013782410423452768,
"loss": 0.6906,
"step": 4250
},
{
"epoch": 2.74,
"learning_rate": 0.0001374332247557003,
"loss": 0.6955,
"step": 4260
},
{
"epoch": 2.75,
"learning_rate": 0.00013704234527687296,
"loss": 0.68,
"step": 4270
},
{
"epoch": 2.75,
"learning_rate": 0.0001366514657980456,
"loss": 0.6756,
"step": 4280
},
{
"epoch": 2.76,
"learning_rate": 0.00013626058631921822,
"loss": 0.6996,
"step": 4290
},
{
"epoch": 2.77,
"learning_rate": 0.00013586970684039087,
"loss": 0.6608,
"step": 4300
},
{
"epoch": 2.77,
"learning_rate": 0.0001354788273615635,
"loss": 0.6942,
"step": 4310
},
{
"epoch": 2.78,
"learning_rate": 0.00013508794788273616,
"loss": 0.6677,
"step": 4320
},
{
"epoch": 2.78,
"learning_rate": 0.0001346970684039088,
"loss": 0.6876,
"step": 4330
},
{
"epoch": 2.79,
"learning_rate": 0.00013430618892508141,
"loss": 0.6797,
"step": 4340
},
{
"epoch": 2.8,
"learning_rate": 0.00013391530944625407,
"loss": 0.6802,
"step": 4350
},
{
"epoch": 2.8,
"learning_rate": 0.0001335244299674267,
"loss": 0.6918,
"step": 4360
},
{
"epoch": 2.81,
"learning_rate": 0.00013313355048859933,
"loss": 0.6843,
"step": 4370
},
{
"epoch": 2.82,
"learning_rate": 0.00013274267100977198,
"loss": 0.6849,
"step": 4380
},
{
"epoch": 2.82,
"learning_rate": 0.0001323517915309446,
"loss": 0.6743,
"step": 4390
},
{
"epoch": 2.83,
"learning_rate": 0.00013196091205211726,
"loss": 0.6879,
"step": 4400
},
{
"epoch": 2.83,
"eval_loss": 0.7500499486923218,
"eval_runtime": 185.8465,
"eval_samples_per_second": 10.762,
"eval_steps_per_second": 1.345,
"step": 4400
},
{
"epoch": 2.84,
"learning_rate": 0.0001315700325732899,
"loss": 0.701,
"step": 4410
},
{
"epoch": 2.84,
"learning_rate": 0.00013117915309446252,
"loss": 0.6889,
"step": 4420
},
{
"epoch": 2.85,
"learning_rate": 0.00013078827361563518,
"loss": 0.7037,
"step": 4430
},
{
"epoch": 2.86,
"learning_rate": 0.0001303973941368078,
"loss": 0.6876,
"step": 4440
},
{
"epoch": 2.86,
"learning_rate": 0.00013000651465798046,
"loss": 0.6965,
"step": 4450
},
{
"epoch": 2.87,
"learning_rate": 0.0001296156351791531,
"loss": 0.708,
"step": 4460
},
{
"epoch": 2.87,
"learning_rate": 0.00012922475570032572,
"loss": 0.6795,
"step": 4470
},
{
"epoch": 2.88,
"learning_rate": 0.00012883387622149837,
"loss": 0.6757,
"step": 4480
},
{
"epoch": 2.89,
"learning_rate": 0.000128442996742671,
"loss": 0.6837,
"step": 4490
},
{
"epoch": 2.89,
"learning_rate": 0.00012805211726384363,
"loss": 0.6829,
"step": 4500
},
{
"epoch": 2.9,
"learning_rate": 0.00012766123778501626,
"loss": 0.6873,
"step": 4510
},
{
"epoch": 2.91,
"learning_rate": 0.0001272703583061889,
"loss": 0.7024,
"step": 4520
},
{
"epoch": 2.91,
"learning_rate": 0.00012687947882736157,
"loss": 0.6787,
"step": 4530
},
{
"epoch": 2.92,
"learning_rate": 0.0001264885993485342,
"loss": 0.7035,
"step": 4540
},
{
"epoch": 2.93,
"learning_rate": 0.00012609771986970682,
"loss": 0.6893,
"step": 4550
},
{
"epoch": 2.93,
"learning_rate": 0.00012570684039087945,
"loss": 0.7013,
"step": 4560
},
{
"epoch": 2.94,
"learning_rate": 0.0001253159609120521,
"loss": 0.6746,
"step": 4570
},
{
"epoch": 2.95,
"learning_rate": 0.00012492508143322476,
"loss": 0.6924,
"step": 4580
},
{
"epoch": 2.95,
"learning_rate": 0.0001245342019543974,
"loss": 0.6768,
"step": 4590
},
{
"epoch": 2.96,
"learning_rate": 0.00012414332247557002,
"loss": 0.6815,
"step": 4600
},
{
"epoch": 2.96,
"eval_loss": 0.7489736080169678,
"eval_runtime": 185.9255,
"eval_samples_per_second": 10.757,
"eval_steps_per_second": 1.345,
"step": 4600
}
],
"logging_steps": 10,
"max_steps": 7775,
"num_train_epochs": 5,
"save_steps": 200,
"total_flos": 1.7074957053851075e+18,
"trial_name": null,
"trial_params": null
}