QingyiSi's picture
Upload 1268 files
4697198
{
"best_metric": 0.7334907054901123,
"best_model_checkpoint": "/mnt/bn/qingyi-bn-lq/llama/saved-alpaca-belle-cot13b/checkpoint-15600",
"epoch": 2.989078367503353,
"global_step": 15600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 5.9999999999999995e-05,
"loss": 1.7259,
"step": 20
},
{
"epoch": 0.01,
"learning_rate": 0.00011999999999999999,
"loss": 1.4365,
"step": 40
},
{
"epoch": 0.01,
"learning_rate": 0.00017999999999999998,
"loss": 1.0988,
"step": 60
},
{
"epoch": 0.02,
"learning_rate": 0.00023999999999999998,
"loss": 1.0373,
"step": 80
},
{
"epoch": 0.02,
"learning_rate": 0.0003,
"loss": 0.9935,
"step": 100
},
{
"epoch": 0.02,
"learning_rate": 0.00029961432152728675,
"loss": 0.9734,
"step": 120
},
{
"epoch": 0.03,
"learning_rate": 0.0002992286430545735,
"loss": 0.9538,
"step": 140
},
{
"epoch": 0.03,
"learning_rate": 0.00029884296458186025,
"loss": 0.9304,
"step": 160
},
{
"epoch": 0.03,
"learning_rate": 0.00029845728610914697,
"loss": 0.9159,
"step": 180
},
{
"epoch": 0.04,
"learning_rate": 0.00029807160763643375,
"loss": 0.9056,
"step": 200
},
{
"epoch": 0.04,
"eval_loss": 0.9217711091041565,
"eval_runtime": 25.3617,
"eval_samples_per_second": 78.859,
"eval_steps_per_second": 1.262,
"step": 200
},
{
"epoch": 0.04,
"learning_rate": 0.00029768592916372047,
"loss": 0.9028,
"step": 220
},
{
"epoch": 0.05,
"learning_rate": 0.00029730025069100725,
"loss": 0.8939,
"step": 240
},
{
"epoch": 0.05,
"learning_rate": 0.00029691457221829397,
"loss": 0.8839,
"step": 260
},
{
"epoch": 0.05,
"learning_rate": 0.00029652889374558075,
"loss": 0.8929,
"step": 280
},
{
"epoch": 0.06,
"learning_rate": 0.00029614321527286747,
"loss": 0.8708,
"step": 300
},
{
"epoch": 0.06,
"learning_rate": 0.00029575753680015425,
"loss": 0.8824,
"step": 320
},
{
"epoch": 0.07,
"learning_rate": 0.000295371858327441,
"loss": 0.8705,
"step": 340
},
{
"epoch": 0.07,
"learning_rate": 0.00029498617985472775,
"loss": 0.8678,
"step": 360
},
{
"epoch": 0.07,
"learning_rate": 0.0002946005013820145,
"loss": 0.8687,
"step": 380
},
{
"epoch": 0.08,
"learning_rate": 0.00029421482290930125,
"loss": 0.8609,
"step": 400
},
{
"epoch": 0.08,
"eval_loss": 0.8822715878486633,
"eval_runtime": 25.3188,
"eval_samples_per_second": 78.993,
"eval_steps_per_second": 1.264,
"step": 400
},
{
"epoch": 0.08,
"learning_rate": 0.000293829144436588,
"loss": 0.8603,
"step": 420
},
{
"epoch": 0.08,
"learning_rate": 0.00029344346596387475,
"loss": 0.8662,
"step": 440
},
{
"epoch": 0.09,
"learning_rate": 0.0002930577874911615,
"loss": 0.8591,
"step": 460
},
{
"epoch": 0.09,
"learning_rate": 0.00029267210901844825,
"loss": 0.8442,
"step": 480
},
{
"epoch": 0.1,
"learning_rate": 0.000292286430545735,
"loss": 0.8482,
"step": 500
},
{
"epoch": 0.1,
"learning_rate": 0.00029190075207302175,
"loss": 0.8458,
"step": 520
},
{
"epoch": 0.1,
"learning_rate": 0.0002915150736003085,
"loss": 0.8377,
"step": 540
},
{
"epoch": 0.11,
"learning_rate": 0.00029112939512759525,
"loss": 0.8372,
"step": 560
},
{
"epoch": 0.11,
"learning_rate": 0.000290743716654882,
"loss": 0.8444,
"step": 580
},
{
"epoch": 0.11,
"learning_rate": 0.0002903580381821688,
"loss": 0.84,
"step": 600
},
{
"epoch": 0.11,
"eval_loss": 0.8602503538131714,
"eval_runtime": 25.3547,
"eval_samples_per_second": 78.881,
"eval_steps_per_second": 1.262,
"step": 600
},
{
"epoch": 0.12,
"learning_rate": 0.0002899723597094555,
"loss": 0.8428,
"step": 620
},
{
"epoch": 0.12,
"learning_rate": 0.0002895866812367423,
"loss": 0.8366,
"step": 640
},
{
"epoch": 0.13,
"learning_rate": 0.000289201002764029,
"loss": 0.8408,
"step": 660
},
{
"epoch": 0.13,
"learning_rate": 0.0002888153242913158,
"loss": 0.8445,
"step": 680
},
{
"epoch": 0.13,
"learning_rate": 0.0002884296458186025,
"loss": 0.8335,
"step": 700
},
{
"epoch": 0.14,
"learning_rate": 0.0002880439673458893,
"loss": 0.8316,
"step": 720
},
{
"epoch": 0.14,
"learning_rate": 0.000287658288873176,
"loss": 0.8449,
"step": 740
},
{
"epoch": 0.15,
"learning_rate": 0.0002872726104004628,
"loss": 0.836,
"step": 760
},
{
"epoch": 0.15,
"learning_rate": 0.0002868869319277495,
"loss": 0.8257,
"step": 780
},
{
"epoch": 0.15,
"learning_rate": 0.0002865012534550363,
"loss": 0.8252,
"step": 800
},
{
"epoch": 0.15,
"eval_loss": 0.8450831174850464,
"eval_runtime": 25.4039,
"eval_samples_per_second": 78.728,
"eval_steps_per_second": 1.26,
"step": 800
},
{
"epoch": 0.16,
"learning_rate": 0.0002861155749823231,
"loss": 0.8227,
"step": 820
},
{
"epoch": 0.16,
"learning_rate": 0.0002857298965096098,
"loss": 0.8274,
"step": 840
},
{
"epoch": 0.16,
"learning_rate": 0.00028534421803689657,
"loss": 0.8197,
"step": 860
},
{
"epoch": 0.17,
"learning_rate": 0.0002849585395641833,
"loss": 0.823,
"step": 880
},
{
"epoch": 0.17,
"learning_rate": 0.00028457286109147007,
"loss": 0.8176,
"step": 900
},
{
"epoch": 0.18,
"learning_rate": 0.0002841871826187568,
"loss": 0.8092,
"step": 920
},
{
"epoch": 0.18,
"learning_rate": 0.00028380150414604357,
"loss": 0.8171,
"step": 940
},
{
"epoch": 0.18,
"learning_rate": 0.0002834158256733303,
"loss": 0.816,
"step": 960
},
{
"epoch": 0.19,
"learning_rate": 0.00028303014720061707,
"loss": 0.816,
"step": 980
},
{
"epoch": 0.19,
"learning_rate": 0.0002826444687279038,
"loss": 0.8066,
"step": 1000
},
{
"epoch": 0.19,
"eval_loss": 0.8338332176208496,
"eval_runtime": 25.3851,
"eval_samples_per_second": 78.786,
"eval_steps_per_second": 1.261,
"step": 1000
},
{
"epoch": 0.2,
"learning_rate": 0.00028225879025519057,
"loss": 0.82,
"step": 1020
},
{
"epoch": 0.2,
"learning_rate": 0.0002818731117824773,
"loss": 0.8116,
"step": 1040
},
{
"epoch": 0.2,
"learning_rate": 0.00028148743330976407,
"loss": 0.8156,
"step": 1060
},
{
"epoch": 0.21,
"learning_rate": 0.00028110175483705085,
"loss": 0.8135,
"step": 1080
},
{
"epoch": 0.21,
"learning_rate": 0.00028071607636433757,
"loss": 0.8055,
"step": 1100
},
{
"epoch": 0.21,
"learning_rate": 0.00028033039789162435,
"loss": 0.8062,
"step": 1120
},
{
"epoch": 0.22,
"learning_rate": 0.00027994471941891107,
"loss": 0.8082,
"step": 1140
},
{
"epoch": 0.22,
"learning_rate": 0.00027955904094619785,
"loss": 0.8144,
"step": 1160
},
{
"epoch": 0.23,
"learning_rate": 0.00027917336247348457,
"loss": 0.8067,
"step": 1180
},
{
"epoch": 0.23,
"learning_rate": 0.0002787876840007713,
"loss": 0.8042,
"step": 1200
},
{
"epoch": 0.23,
"eval_loss": 0.8253737688064575,
"eval_runtime": 25.4089,
"eval_samples_per_second": 78.713,
"eval_steps_per_second": 1.259,
"step": 1200
},
{
"epoch": 0.23,
"learning_rate": 0.00027840200552805807,
"loss": 0.8093,
"step": 1220
},
{
"epoch": 0.24,
"learning_rate": 0.00027801632705534485,
"loss": 0.801,
"step": 1240
},
{
"epoch": 0.24,
"learning_rate": 0.00027763064858263157,
"loss": 0.8043,
"step": 1260
},
{
"epoch": 0.25,
"learning_rate": 0.00027724497010991834,
"loss": 0.8027,
"step": 1280
},
{
"epoch": 0.25,
"learning_rate": 0.0002768592916372051,
"loss": 0.7979,
"step": 1300
},
{
"epoch": 0.25,
"learning_rate": 0.00027647361316449184,
"loss": 0.7988,
"step": 1320
},
{
"epoch": 0.26,
"learning_rate": 0.0002760879346917786,
"loss": 0.8051,
"step": 1340
},
{
"epoch": 0.26,
"learning_rate": 0.00027570225621906534,
"loss": 0.7962,
"step": 1360
},
{
"epoch": 0.26,
"learning_rate": 0.0002753165777463521,
"loss": 0.8034,
"step": 1380
},
{
"epoch": 0.27,
"learning_rate": 0.00027493089927363884,
"loss": 0.7994,
"step": 1400
},
{
"epoch": 0.27,
"eval_loss": 0.8166970014572144,
"eval_runtime": 25.3787,
"eval_samples_per_second": 78.806,
"eval_steps_per_second": 1.261,
"step": 1400
},
{
"epoch": 0.27,
"learning_rate": 0.00027454522080092557,
"loss": 0.7949,
"step": 1420
},
{
"epoch": 0.28,
"learning_rate": 0.00027415954232821234,
"loss": 0.7919,
"step": 1440
},
{
"epoch": 0.28,
"learning_rate": 0.0002737738638554991,
"loss": 0.7983,
"step": 1460
},
{
"epoch": 0.28,
"learning_rate": 0.00027338818538278584,
"loss": 0.7828,
"step": 1480
},
{
"epoch": 0.29,
"learning_rate": 0.0002730025069100726,
"loss": 0.7926,
"step": 1500
},
{
"epoch": 0.29,
"learning_rate": 0.0002726168284373594,
"loss": 0.7837,
"step": 1520
},
{
"epoch": 0.3,
"learning_rate": 0.0002722311499646461,
"loss": 0.7922,
"step": 1540
},
{
"epoch": 0.3,
"learning_rate": 0.0002718454714919329,
"loss": 0.7852,
"step": 1560
},
{
"epoch": 0.3,
"learning_rate": 0.0002714597930192196,
"loss": 0.7846,
"step": 1580
},
{
"epoch": 0.31,
"learning_rate": 0.0002710741145465064,
"loss": 0.782,
"step": 1600
},
{
"epoch": 0.31,
"eval_loss": 0.8094187378883362,
"eval_runtime": 25.4544,
"eval_samples_per_second": 78.572,
"eval_steps_per_second": 1.257,
"step": 1600
},
{
"epoch": 0.31,
"learning_rate": 0.0002706884360737931,
"loss": 0.7822,
"step": 1620
},
{
"epoch": 0.31,
"learning_rate": 0.00027030275760107984,
"loss": 0.7787,
"step": 1640
},
{
"epoch": 0.32,
"learning_rate": 0.0002699170791283666,
"loss": 0.7913,
"step": 1660
},
{
"epoch": 0.32,
"learning_rate": 0.0002695314006556534,
"loss": 0.79,
"step": 1680
},
{
"epoch": 0.33,
"learning_rate": 0.0002691457221829401,
"loss": 0.7934,
"step": 1700
},
{
"epoch": 0.33,
"learning_rate": 0.0002687600437102269,
"loss": 0.7816,
"step": 1720
},
{
"epoch": 0.33,
"learning_rate": 0.0002683743652375136,
"loss": 0.7825,
"step": 1740
},
{
"epoch": 0.34,
"learning_rate": 0.0002679886867648004,
"loss": 0.7903,
"step": 1760
},
{
"epoch": 0.34,
"learning_rate": 0.00026760300829208717,
"loss": 0.7906,
"step": 1780
},
{
"epoch": 0.34,
"learning_rate": 0.0002672173298193739,
"loss": 0.7778,
"step": 1800
},
{
"epoch": 0.34,
"eval_loss": 0.8045867681503296,
"eval_runtime": 25.4351,
"eval_samples_per_second": 78.632,
"eval_steps_per_second": 1.258,
"step": 1800
},
{
"epoch": 0.35,
"learning_rate": 0.00026683165134666067,
"loss": 0.7815,
"step": 1820
},
{
"epoch": 0.35,
"learning_rate": 0.0002664459728739474,
"loss": 0.7851,
"step": 1840
},
{
"epoch": 0.36,
"learning_rate": 0.00026606029440123417,
"loss": 0.7807,
"step": 1860
},
{
"epoch": 0.36,
"learning_rate": 0.0002656746159285209,
"loss": 0.7856,
"step": 1880
},
{
"epoch": 0.36,
"learning_rate": 0.0002652889374558076,
"loss": 0.7798,
"step": 1900
},
{
"epoch": 0.37,
"learning_rate": 0.0002649032589830944,
"loss": 0.7777,
"step": 1920
},
{
"epoch": 0.37,
"learning_rate": 0.00026451758051038117,
"loss": 0.7798,
"step": 1940
},
{
"epoch": 0.38,
"learning_rate": 0.0002641319020376679,
"loss": 0.7783,
"step": 1960
},
{
"epoch": 0.38,
"learning_rate": 0.00026374622356495467,
"loss": 0.7739,
"step": 1980
},
{
"epoch": 0.38,
"learning_rate": 0.00026336054509224144,
"loss": 0.7823,
"step": 2000
},
{
"epoch": 0.38,
"eval_loss": 0.7984708547592163,
"eval_runtime": 25.4598,
"eval_samples_per_second": 78.555,
"eval_steps_per_second": 1.257,
"step": 2000
},
{
"epoch": 0.39,
"learning_rate": 0.00026297486661952817,
"loss": 0.7774,
"step": 2020
},
{
"epoch": 0.39,
"learning_rate": 0.00026258918814681494,
"loss": 0.7701,
"step": 2040
},
{
"epoch": 0.39,
"learning_rate": 0.00026220350967410167,
"loss": 0.7777,
"step": 2060
},
{
"epoch": 0.4,
"learning_rate": 0.00026181783120138844,
"loss": 0.781,
"step": 2080
},
{
"epoch": 0.4,
"learning_rate": 0.00026143215272867517,
"loss": 0.779,
"step": 2100
},
{
"epoch": 0.41,
"learning_rate": 0.0002610464742559619,
"loss": 0.7703,
"step": 2120
},
{
"epoch": 0.41,
"learning_rate": 0.00026066079578324867,
"loss": 0.7749,
"step": 2140
},
{
"epoch": 0.41,
"learning_rate": 0.00026027511731053544,
"loss": 0.772,
"step": 2160
},
{
"epoch": 0.42,
"learning_rate": 0.00025988943883782216,
"loss": 0.771,
"step": 2180
},
{
"epoch": 0.42,
"learning_rate": 0.00025950376036510894,
"loss": 0.7757,
"step": 2200
},
{
"epoch": 0.42,
"eval_loss": 0.7949528694152832,
"eval_runtime": 25.4504,
"eval_samples_per_second": 78.584,
"eval_steps_per_second": 1.257,
"step": 2200
},
{
"epoch": 0.43,
"learning_rate": 0.00025911808189239566,
"loss": 0.7776,
"step": 2220
},
{
"epoch": 0.43,
"learning_rate": 0.00025873240341968244,
"loss": 0.7689,
"step": 2240
},
{
"epoch": 0.43,
"learning_rate": 0.0002583467249469692,
"loss": 0.7646,
"step": 2260
},
{
"epoch": 0.44,
"learning_rate": 0.00025796104647425594,
"loss": 0.7805,
"step": 2280
},
{
"epoch": 0.44,
"learning_rate": 0.0002575753680015427,
"loss": 0.7717,
"step": 2300
},
{
"epoch": 0.44,
"learning_rate": 0.00025718968952882944,
"loss": 0.7672,
"step": 2320
},
{
"epoch": 0.45,
"learning_rate": 0.00025680401105611616,
"loss": 0.7716,
"step": 2340
},
{
"epoch": 0.45,
"learning_rate": 0.00025641833258340294,
"loss": 0.7661,
"step": 2360
},
{
"epoch": 0.46,
"learning_rate": 0.00025603265411068966,
"loss": 0.7659,
"step": 2380
},
{
"epoch": 0.46,
"learning_rate": 0.00025564697563797644,
"loss": 0.7697,
"step": 2400
},
{
"epoch": 0.46,
"eval_loss": 0.7915205359458923,
"eval_runtime": 25.4326,
"eval_samples_per_second": 78.639,
"eval_steps_per_second": 1.258,
"step": 2400
},
{
"epoch": 0.46,
"learning_rate": 0.0002552612971652632,
"loss": 0.7686,
"step": 2420
},
{
"epoch": 0.47,
"learning_rate": 0.00025487561869254994,
"loss": 0.7691,
"step": 2440
},
{
"epoch": 0.47,
"learning_rate": 0.0002544899402198367,
"loss": 0.768,
"step": 2460
},
{
"epoch": 0.48,
"learning_rate": 0.0002541042617471235,
"loss": 0.7663,
"step": 2480
},
{
"epoch": 0.48,
"learning_rate": 0.0002537185832744102,
"loss": 0.767,
"step": 2500
},
{
"epoch": 0.48,
"learning_rate": 0.000253332904801697,
"loss": 0.769,
"step": 2520
},
{
"epoch": 0.49,
"learning_rate": 0.0002529472263289837,
"loss": 0.7686,
"step": 2540
},
{
"epoch": 0.49,
"learning_rate": 0.00025256154785627044,
"loss": 0.7722,
"step": 2560
},
{
"epoch": 0.49,
"learning_rate": 0.0002521758693835572,
"loss": 0.7691,
"step": 2580
},
{
"epoch": 0.5,
"learning_rate": 0.00025179019091084394,
"loss": 0.7742,
"step": 2600
},
{
"epoch": 0.5,
"eval_loss": 0.7875179648399353,
"eval_runtime": 25.4595,
"eval_samples_per_second": 78.556,
"eval_steps_per_second": 1.257,
"step": 2600
},
{
"epoch": 0.5,
"learning_rate": 0.0002514045124381307,
"loss": 0.7682,
"step": 2620
},
{
"epoch": 0.51,
"learning_rate": 0.0002510188339654175,
"loss": 0.7574,
"step": 2640
},
{
"epoch": 0.51,
"learning_rate": 0.0002506331554927042,
"loss": 0.77,
"step": 2660
},
{
"epoch": 0.51,
"learning_rate": 0.000250247477019991,
"loss": 0.7638,
"step": 2680
},
{
"epoch": 0.52,
"learning_rate": 0.00024986179854727777,
"loss": 0.7517,
"step": 2700
},
{
"epoch": 0.52,
"learning_rate": 0.0002494761200745645,
"loss": 0.7596,
"step": 2720
},
{
"epoch": 0.53,
"learning_rate": 0.00024909044160185127,
"loss": 0.7608,
"step": 2740
},
{
"epoch": 0.53,
"learning_rate": 0.000248704763129138,
"loss": 0.7571,
"step": 2760
},
{
"epoch": 0.53,
"learning_rate": 0.0002483190846564247,
"loss": 0.7597,
"step": 2780
},
{
"epoch": 0.54,
"learning_rate": 0.0002479334061837115,
"loss": 0.7659,
"step": 2800
},
{
"epoch": 0.54,
"eval_loss": 0.7841727137565613,
"eval_runtime": 25.4853,
"eval_samples_per_second": 78.477,
"eval_steps_per_second": 1.256,
"step": 2800
},
{
"epoch": 0.54,
"learning_rate": 0.0002475477277109982,
"loss": 0.7694,
"step": 2820
},
{
"epoch": 0.54,
"learning_rate": 0.000247162049238285,
"loss": 0.7722,
"step": 2840
},
{
"epoch": 0.55,
"learning_rate": 0.00024677637076557176,
"loss": 0.7513,
"step": 2860
},
{
"epoch": 0.55,
"learning_rate": 0.0002463906922928585,
"loss": 0.7553,
"step": 2880
},
{
"epoch": 0.56,
"learning_rate": 0.00024600501382014526,
"loss": 0.7611,
"step": 2900
},
{
"epoch": 0.56,
"learning_rate": 0.000245619335347432,
"loss": 0.7614,
"step": 2920
},
{
"epoch": 0.56,
"learning_rate": 0.00024523365687471876,
"loss": 0.761,
"step": 2940
},
{
"epoch": 0.57,
"learning_rate": 0.00024484797840200554,
"loss": 0.7568,
"step": 2960
},
{
"epoch": 0.57,
"learning_rate": 0.00024446229992929226,
"loss": 0.7571,
"step": 2980
},
{
"epoch": 0.57,
"learning_rate": 0.000244076621456579,
"loss": 0.7514,
"step": 3000
},
{
"epoch": 0.57,
"eval_loss": 0.7828710675239563,
"eval_runtime": 25.4475,
"eval_samples_per_second": 78.593,
"eval_steps_per_second": 1.257,
"step": 3000
},
{
"epoch": 0.58,
"learning_rate": 0.0002436909429838658,
"loss": 0.7564,
"step": 3020
},
{
"epoch": 0.58,
"learning_rate": 0.0002433052645111525,
"loss": 0.7593,
"step": 3040
},
{
"epoch": 0.59,
"learning_rate": 0.00024291958603843926,
"loss": 0.7533,
"step": 3060
},
{
"epoch": 0.59,
"learning_rate": 0.000242533907565726,
"loss": 0.7566,
"step": 3080
},
{
"epoch": 0.59,
"learning_rate": 0.00024214822909301276,
"loss": 0.7667,
"step": 3100
},
{
"epoch": 0.6,
"learning_rate": 0.00024176255062029954,
"loss": 0.7638,
"step": 3120
},
{
"epoch": 0.6,
"learning_rate": 0.00024137687214758626,
"loss": 0.7613,
"step": 3140
},
{
"epoch": 0.61,
"learning_rate": 0.00024099119367487304,
"loss": 0.755,
"step": 3160
},
{
"epoch": 0.61,
"learning_rate": 0.0002406055152021598,
"loss": 0.7547,
"step": 3180
},
{
"epoch": 0.61,
"learning_rate": 0.0002402198367294465,
"loss": 0.7611,
"step": 3200
},
{
"epoch": 0.61,
"eval_loss": 0.7789185643196106,
"eval_runtime": 25.4744,
"eval_samples_per_second": 78.51,
"eval_steps_per_second": 1.256,
"step": 3200
},
{
"epoch": 0.62,
"learning_rate": 0.0002398341582567333,
"loss": 0.7498,
"step": 3220
},
{
"epoch": 0.62,
"learning_rate": 0.00023944847978402,
"loss": 0.757,
"step": 3240
},
{
"epoch": 0.62,
"learning_rate": 0.0002390628013113068,
"loss": 0.7472,
"step": 3260
},
{
"epoch": 0.63,
"learning_rate": 0.00023867712283859354,
"loss": 0.7557,
"step": 3280
},
{
"epoch": 0.63,
"learning_rate": 0.0002382914443658803,
"loss": 0.7602,
"step": 3300
},
{
"epoch": 0.64,
"learning_rate": 0.00023790576589316704,
"loss": 0.7573,
"step": 3320
},
{
"epoch": 0.64,
"learning_rate": 0.0002375200874204538,
"loss": 0.7565,
"step": 3340
},
{
"epoch": 0.64,
"learning_rate": 0.00023713440894774054,
"loss": 0.7517,
"step": 3360
},
{
"epoch": 0.65,
"learning_rate": 0.0002367487304750273,
"loss": 0.7521,
"step": 3380
},
{
"epoch": 0.65,
"learning_rate": 0.00023636305200231404,
"loss": 0.7575,
"step": 3400
},
{
"epoch": 0.65,
"eval_loss": 0.7771645784378052,
"eval_runtime": 25.4832,
"eval_samples_per_second": 78.483,
"eval_steps_per_second": 1.256,
"step": 3400
},
{
"epoch": 0.66,
"learning_rate": 0.0002359773735296008,
"loss": 0.7605,
"step": 3420
},
{
"epoch": 0.66,
"learning_rate": 0.00023559169505688756,
"loss": 0.7547,
"step": 3440
},
{
"epoch": 0.66,
"learning_rate": 0.00023520601658417428,
"loss": 0.7522,
"step": 3460
},
{
"epoch": 0.67,
"learning_rate": 0.00023482033811146106,
"loss": 0.757,
"step": 3480
},
{
"epoch": 0.67,
"learning_rate": 0.0002344346596387478,
"loss": 0.7561,
"step": 3500
},
{
"epoch": 0.67,
"learning_rate": 0.00023404898116603456,
"loss": 0.7486,
"step": 3520
},
{
"epoch": 0.68,
"learning_rate": 0.0002336633026933213,
"loss": 0.7519,
"step": 3540
},
{
"epoch": 0.68,
"learning_rate": 0.00023327762422060806,
"loss": 0.7487,
"step": 3560
},
{
"epoch": 0.69,
"learning_rate": 0.0002328919457478948,
"loss": 0.747,
"step": 3580
},
{
"epoch": 0.69,
"learning_rate": 0.0002325062672751816,
"loss": 0.7523,
"step": 3600
},
{
"epoch": 0.69,
"eval_loss": 0.7746226787567139,
"eval_runtime": 25.4795,
"eval_samples_per_second": 78.494,
"eval_steps_per_second": 1.256,
"step": 3600
},
{
"epoch": 0.69,
"learning_rate": 0.0002321205888024683,
"loss": 0.7427,
"step": 3620
},
{
"epoch": 0.7,
"learning_rate": 0.0002317349103297551,
"loss": 0.7442,
"step": 3640
},
{
"epoch": 0.7,
"learning_rate": 0.00023134923185704184,
"loss": 0.7587,
"step": 3660
},
{
"epoch": 0.71,
"learning_rate": 0.00023096355338432856,
"loss": 0.7506,
"step": 3680
},
{
"epoch": 0.71,
"learning_rate": 0.00023057787491161534,
"loss": 0.7514,
"step": 3700
},
{
"epoch": 0.71,
"learning_rate": 0.00023019219643890206,
"loss": 0.7475,
"step": 3720
},
{
"epoch": 0.72,
"learning_rate": 0.00022980651796618884,
"loss": 0.7601,
"step": 3740
},
{
"epoch": 0.72,
"learning_rate": 0.00022942083949347559,
"loss": 0.7474,
"step": 3760
},
{
"epoch": 0.72,
"learning_rate": 0.00022903516102076233,
"loss": 0.7529,
"step": 3780
},
{
"epoch": 0.73,
"learning_rate": 0.00022864948254804908,
"loss": 0.7458,
"step": 3800
},
{
"epoch": 0.73,
"eval_loss": 0.7719505429267883,
"eval_runtime": 25.4724,
"eval_samples_per_second": 78.516,
"eval_steps_per_second": 1.256,
"step": 3800
},
{
"epoch": 0.73,
"learning_rate": 0.00022826380407533586,
"loss": 0.7584,
"step": 3820
},
{
"epoch": 0.74,
"learning_rate": 0.00022787812560262258,
"loss": 0.7416,
"step": 3840
},
{
"epoch": 0.74,
"learning_rate": 0.00022749244712990936,
"loss": 0.7444,
"step": 3860
},
{
"epoch": 0.74,
"learning_rate": 0.0002271067686571961,
"loss": 0.7459,
"step": 3880
},
{
"epoch": 0.75,
"learning_rate": 0.00022672109018448283,
"loss": 0.7476,
"step": 3900
},
{
"epoch": 0.75,
"learning_rate": 0.0002263354117117696,
"loss": 0.7473,
"step": 3920
},
{
"epoch": 0.75,
"learning_rate": 0.00022594973323905633,
"loss": 0.7434,
"step": 3940
},
{
"epoch": 0.76,
"learning_rate": 0.0002255640547663431,
"loss": 0.7463,
"step": 3960
},
{
"epoch": 0.76,
"learning_rate": 0.00022517837629362986,
"loss": 0.7435,
"step": 3980
},
{
"epoch": 0.77,
"learning_rate": 0.0002247926978209166,
"loss": 0.7445,
"step": 4000
},
{
"epoch": 0.77,
"eval_loss": 0.7707083821296692,
"eval_runtime": 25.4747,
"eval_samples_per_second": 78.509,
"eval_steps_per_second": 1.256,
"step": 4000
},
{
"epoch": 0.77,
"learning_rate": 0.00022440701934820336,
"loss": 0.7321,
"step": 4020
},
{
"epoch": 0.77,
"learning_rate": 0.00022402134087549014,
"loss": 0.7525,
"step": 4040
},
{
"epoch": 0.78,
"learning_rate": 0.00022363566240277686,
"loss": 0.7494,
"step": 4060
},
{
"epoch": 0.78,
"learning_rate": 0.00022324998393006364,
"loss": 0.7533,
"step": 4080
},
{
"epoch": 0.79,
"learning_rate": 0.00022286430545735036,
"loss": 0.7442,
"step": 4100
},
{
"epoch": 0.79,
"learning_rate": 0.0002224786269846371,
"loss": 0.7423,
"step": 4120
},
{
"epoch": 0.79,
"learning_rate": 0.00022209294851192388,
"loss": 0.7443,
"step": 4140
},
{
"epoch": 0.8,
"learning_rate": 0.0002217072700392106,
"loss": 0.7388,
"step": 4160
},
{
"epoch": 0.8,
"learning_rate": 0.00022132159156649738,
"loss": 0.7425,
"step": 4180
},
{
"epoch": 0.8,
"learning_rate": 0.00022093591309378413,
"loss": 0.7507,
"step": 4200
},
{
"epoch": 0.8,
"eval_loss": 0.7691813111305237,
"eval_runtime": 25.5011,
"eval_samples_per_second": 78.428,
"eval_steps_per_second": 1.255,
"step": 4200
},
{
"epoch": 0.81,
"learning_rate": 0.00022055023462107088,
"loss": 0.7276,
"step": 4220
},
{
"epoch": 0.81,
"learning_rate": 0.00022016455614835763,
"loss": 0.7399,
"step": 4240
},
{
"epoch": 0.82,
"learning_rate": 0.00021977887767564438,
"loss": 0.7409,
"step": 4260
},
{
"epoch": 0.82,
"learning_rate": 0.00021939319920293113,
"loss": 0.7391,
"step": 4280
},
{
"epoch": 0.82,
"learning_rate": 0.0002190075207302179,
"loss": 0.741,
"step": 4300
},
{
"epoch": 0.83,
"learning_rate": 0.00021862184225750463,
"loss": 0.7404,
"step": 4320
},
{
"epoch": 0.83,
"learning_rate": 0.00021823616378479138,
"loss": 0.7356,
"step": 4340
},
{
"epoch": 0.84,
"learning_rate": 0.00021785048531207816,
"loss": 0.7458,
"step": 4360
},
{
"epoch": 0.84,
"learning_rate": 0.00021746480683936488,
"loss": 0.7373,
"step": 4380
},
{
"epoch": 0.84,
"learning_rate": 0.00021707912836665166,
"loss": 0.7455,
"step": 4400
},
{
"epoch": 0.84,
"eval_loss": 0.7680566310882568,
"eval_runtime": 25.4479,
"eval_samples_per_second": 78.592,
"eval_steps_per_second": 1.257,
"step": 4400
},
{
"epoch": 0.85,
"learning_rate": 0.00021669344989393838,
"loss": 0.7376,
"step": 4420
},
{
"epoch": 0.85,
"learning_rate": 0.00021630777142122516,
"loss": 0.7396,
"step": 4440
},
{
"epoch": 0.85,
"learning_rate": 0.0002159220929485119,
"loss": 0.7367,
"step": 4460
},
{
"epoch": 0.86,
"learning_rate": 0.00021553641447579866,
"loss": 0.7354,
"step": 4480
},
{
"epoch": 0.86,
"learning_rate": 0.0002151507360030854,
"loss": 0.7337,
"step": 4500
},
{
"epoch": 0.87,
"learning_rate": 0.00021476505753037218,
"loss": 0.7384,
"step": 4520
},
{
"epoch": 0.87,
"learning_rate": 0.0002143793790576589,
"loss": 0.7334,
"step": 4540
},
{
"epoch": 0.87,
"learning_rate": 0.00021399370058494568,
"loss": 0.742,
"step": 4560
},
{
"epoch": 0.88,
"learning_rate": 0.0002136080221122324,
"loss": 0.7408,
"step": 4580
},
{
"epoch": 0.88,
"learning_rate": 0.00021322234363951916,
"loss": 0.7466,
"step": 4600
},
{
"epoch": 0.88,
"eval_loss": 0.7663780450820923,
"eval_runtime": 25.53,
"eval_samples_per_second": 78.339,
"eval_steps_per_second": 1.253,
"step": 4600
},
{
"epoch": 0.89,
"learning_rate": 0.00021283666516680593,
"loss": 0.7399,
"step": 4620
},
{
"epoch": 0.89,
"learning_rate": 0.00021245098669409266,
"loss": 0.746,
"step": 4640
},
{
"epoch": 0.89,
"learning_rate": 0.00021206530822137943,
"loss": 0.7397,
"step": 4660
},
{
"epoch": 0.9,
"learning_rate": 0.00021167962974866618,
"loss": 0.7349,
"step": 4680
},
{
"epoch": 0.9,
"learning_rate": 0.00021129395127595293,
"loss": 0.7334,
"step": 4700
},
{
"epoch": 0.9,
"learning_rate": 0.00021090827280323968,
"loss": 0.738,
"step": 4720
},
{
"epoch": 0.91,
"learning_rate": 0.0002105225943305264,
"loss": 0.7398,
"step": 4740
},
{
"epoch": 0.91,
"learning_rate": 0.00021013691585781318,
"loss": 0.7465,
"step": 4760
},
{
"epoch": 0.92,
"learning_rate": 0.00020975123738509996,
"loss": 0.7388,
"step": 4780
},
{
"epoch": 0.92,
"learning_rate": 0.00020936555891238668,
"loss": 0.7462,
"step": 4800
},
{
"epoch": 0.92,
"eval_loss": 0.7650267481803894,
"eval_runtime": 25.5463,
"eval_samples_per_second": 78.289,
"eval_steps_per_second": 1.253,
"step": 4800
},
{
"epoch": 0.92,
"learning_rate": 0.00020897988043967343,
"loss": 0.7463,
"step": 4820
},
{
"epoch": 0.93,
"learning_rate": 0.0002085942019669602,
"loss": 0.7389,
"step": 4840
},
{
"epoch": 0.93,
"learning_rate": 0.00020820852349424693,
"loss": 0.7316,
"step": 4860
},
{
"epoch": 0.94,
"learning_rate": 0.0002078228450215337,
"loss": 0.73,
"step": 4880
},
{
"epoch": 0.94,
"learning_rate": 0.00020743716654882043,
"loss": 0.7472,
"step": 4900
},
{
"epoch": 0.94,
"learning_rate": 0.0002070514880761072,
"loss": 0.7494,
"step": 4920
},
{
"epoch": 0.95,
"learning_rate": 0.00020666580960339396,
"loss": 0.7424,
"step": 4940
},
{
"epoch": 0.95,
"learning_rate": 0.0002062801311306807,
"loss": 0.7443,
"step": 4960
},
{
"epoch": 0.95,
"learning_rate": 0.00020589445265796746,
"loss": 0.7355,
"step": 4980
},
{
"epoch": 0.96,
"learning_rate": 0.00020550877418525423,
"loss": 0.7388,
"step": 5000
},
{
"epoch": 0.96,
"eval_loss": 0.7630622386932373,
"eval_runtime": 25.8654,
"eval_samples_per_second": 77.323,
"eval_steps_per_second": 1.237,
"step": 5000
},
{
"epoch": 0.96,
"learning_rate": 0.00020512309571254096,
"loss": 0.7317,
"step": 5020
},
{
"epoch": 0.97,
"learning_rate": 0.0002047374172398277,
"loss": 0.7385,
"step": 5040
},
{
"epoch": 0.97,
"learning_rate": 0.00020435173876711445,
"loss": 0.7369,
"step": 5060
},
{
"epoch": 0.97,
"learning_rate": 0.0002039660602944012,
"loss": 0.7243,
"step": 5080
},
{
"epoch": 0.98,
"learning_rate": 0.00020358038182168798,
"loss": 0.7334,
"step": 5100
},
{
"epoch": 0.98,
"learning_rate": 0.0002031947033489747,
"loss": 0.7433,
"step": 5120
},
{
"epoch": 0.98,
"learning_rate": 0.00020280902487626148,
"loss": 0.7202,
"step": 5140
},
{
"epoch": 0.99,
"learning_rate": 0.00020242334640354823,
"loss": 0.7336,
"step": 5160
},
{
"epoch": 0.99,
"learning_rate": 0.00020203766793083498,
"loss": 0.7324,
"step": 5180
},
{
"epoch": 1.0,
"learning_rate": 0.00020165198945812173,
"loss": 0.7363,
"step": 5200
},
{
"epoch": 1.0,
"eval_loss": 0.7617191076278687,
"eval_runtime": 25.4884,
"eval_samples_per_second": 78.467,
"eval_steps_per_second": 1.255,
"step": 5200
},
{
"epoch": 1.0,
"learning_rate": 0.0002012663109854085,
"loss": 0.7359,
"step": 5220
},
{
"epoch": 1.0,
"learning_rate": 0.00020088063251269523,
"loss": 0.7347,
"step": 5240
},
{
"epoch": 1.01,
"learning_rate": 0.00020049495403998198,
"loss": 0.732,
"step": 5260
},
{
"epoch": 1.01,
"learning_rate": 0.00020010927556726873,
"loss": 0.7385,
"step": 5280
},
{
"epoch": 1.02,
"learning_rate": 0.00019972359709455548,
"loss": 0.7313,
"step": 5300
},
{
"epoch": 1.02,
"learning_rate": 0.00019933791862184226,
"loss": 0.7337,
"step": 5320
},
{
"epoch": 1.02,
"learning_rate": 0.00019895224014912898,
"loss": 0.733,
"step": 5340
},
{
"epoch": 1.03,
"learning_rate": 0.00019856656167641576,
"loss": 0.7226,
"step": 5360
},
{
"epoch": 1.03,
"learning_rate": 0.0001981808832037025,
"loss": 0.7363,
"step": 5380
},
{
"epoch": 1.03,
"learning_rate": 0.00019779520473098925,
"loss": 0.7296,
"step": 5400
},
{
"epoch": 1.03,
"eval_loss": 0.7608480453491211,
"eval_runtime": 25.5307,
"eval_samples_per_second": 78.337,
"eval_steps_per_second": 1.253,
"step": 5400
},
{
"epoch": 1.04,
"learning_rate": 0.000197409526258276,
"loss": 0.7237,
"step": 5420
},
{
"epoch": 1.04,
"learning_rate": 0.00019702384778556273,
"loss": 0.735,
"step": 5440
},
{
"epoch": 1.05,
"learning_rate": 0.0001966381693128495,
"loss": 0.7379,
"step": 5460
},
{
"epoch": 1.05,
"learning_rate": 0.00019625249084013628,
"loss": 0.7372,
"step": 5480
},
{
"epoch": 1.05,
"learning_rate": 0.000195866812367423,
"loss": 0.7332,
"step": 5500
},
{
"epoch": 1.06,
"learning_rate": 0.00019548113389470975,
"loss": 0.7375,
"step": 5520
},
{
"epoch": 1.06,
"learning_rate": 0.00019509545542199653,
"loss": 0.7352,
"step": 5540
},
{
"epoch": 1.07,
"learning_rate": 0.00019470977694928325,
"loss": 0.7336,
"step": 5560
},
{
"epoch": 1.07,
"learning_rate": 0.00019432409847657003,
"loss": 0.7266,
"step": 5580
},
{
"epoch": 1.07,
"learning_rate": 0.00019393842000385675,
"loss": 0.7325,
"step": 5600
},
{
"epoch": 1.07,
"eval_loss": 0.7595871686935425,
"eval_runtime": 25.4845,
"eval_samples_per_second": 78.479,
"eval_steps_per_second": 1.256,
"step": 5600
},
{
"epoch": 1.08,
"learning_rate": 0.00019355274153114353,
"loss": 0.7259,
"step": 5620
},
{
"epoch": 1.08,
"learning_rate": 0.00019316706305843028,
"loss": 0.7274,
"step": 5640
},
{
"epoch": 1.08,
"learning_rate": 0.000192781384585717,
"loss": 0.7254,
"step": 5660
},
{
"epoch": 1.09,
"learning_rate": 0.00019239570611300378,
"loss": 0.7332,
"step": 5680
},
{
"epoch": 1.09,
"learning_rate": 0.00019201002764029056,
"loss": 0.73,
"step": 5700
},
{
"epoch": 1.1,
"learning_rate": 0.00019162434916757728,
"loss": 0.7365,
"step": 5720
},
{
"epoch": 1.1,
"learning_rate": 0.00019123867069486403,
"loss": 0.7261,
"step": 5740
},
{
"epoch": 1.1,
"learning_rate": 0.00019085299222215078,
"loss": 0.7331,
"step": 5760
},
{
"epoch": 1.11,
"learning_rate": 0.00019046731374943753,
"loss": 0.7272,
"step": 5780
},
{
"epoch": 1.11,
"learning_rate": 0.0001900816352767243,
"loss": 0.7325,
"step": 5800
},
{
"epoch": 1.11,
"eval_loss": 0.7583591341972351,
"eval_runtime": 25.49,
"eval_samples_per_second": 78.462,
"eval_steps_per_second": 1.255,
"step": 5800
},
{
"epoch": 1.12,
"learning_rate": 0.00018969595680401103,
"loss": 0.7277,
"step": 5820
},
{
"epoch": 1.12,
"learning_rate": 0.0001893102783312978,
"loss": 0.7352,
"step": 5840
},
{
"epoch": 1.12,
"learning_rate": 0.00018892459985858455,
"loss": 0.7312,
"step": 5860
},
{
"epoch": 1.13,
"learning_rate": 0.00018853892138587128,
"loss": 0.7296,
"step": 5880
},
{
"epoch": 1.13,
"learning_rate": 0.00018815324291315805,
"loss": 0.7275,
"step": 5900
},
{
"epoch": 1.13,
"learning_rate": 0.00018776756444044478,
"loss": 0.7345,
"step": 5920
},
{
"epoch": 1.14,
"learning_rate": 0.00018738188596773155,
"loss": 0.7322,
"step": 5940
},
{
"epoch": 1.14,
"learning_rate": 0.0001869962074950183,
"loss": 0.737,
"step": 5960
},
{
"epoch": 1.15,
"learning_rate": 0.00018661052902230505,
"loss": 0.7243,
"step": 5980
},
{
"epoch": 1.15,
"learning_rate": 0.0001862248505495918,
"loss": 0.7303,
"step": 6000
},
{
"epoch": 1.15,
"eval_loss": 0.7572018504142761,
"eval_runtime": 25.7126,
"eval_samples_per_second": 77.783,
"eval_steps_per_second": 1.245,
"step": 6000
},
{
"epoch": 1.15,
"learning_rate": 0.00018583917207687858,
"loss": 0.7237,
"step": 6020
},
{
"epoch": 1.16,
"learning_rate": 0.0001854534936041653,
"loss": 0.735,
"step": 6040
},
{
"epoch": 1.16,
"learning_rate": 0.00018506781513145208,
"loss": 0.727,
"step": 6060
},
{
"epoch": 1.16,
"learning_rate": 0.0001846821366587388,
"loss": 0.7226,
"step": 6080
},
{
"epoch": 1.17,
"learning_rate": 0.00018429645818602558,
"loss": 0.7213,
"step": 6100
},
{
"epoch": 1.17,
"learning_rate": 0.000183930063636948,
"loss": 0.7206,
"step": 6120
},
{
"epoch": 1.18,
"learning_rate": 0.0001835443851642347,
"loss": 0.7292,
"step": 6140
},
{
"epoch": 1.18,
"learning_rate": 0.0001831587066915215,
"loss": 0.7316,
"step": 6160
},
{
"epoch": 1.18,
"learning_rate": 0.00018277302821880824,
"loss": 0.7318,
"step": 6180
},
{
"epoch": 1.19,
"learning_rate": 0.000182387349746095,
"loss": 0.7302,
"step": 6200
},
{
"epoch": 1.19,
"eval_loss": 0.755982518196106,
"eval_runtime": 25.5055,
"eval_samples_per_second": 78.415,
"eval_steps_per_second": 1.255,
"step": 6200
},
{
"epoch": 1.19,
"learning_rate": 0.00018200167127338174,
"loss": 0.728,
"step": 6220
},
{
"epoch": 1.2,
"learning_rate": 0.00018161599280066851,
"loss": 0.7334,
"step": 6240
},
{
"epoch": 1.2,
"learning_rate": 0.00018123031432795524,
"loss": 0.7303,
"step": 6260
},
{
"epoch": 1.2,
"learning_rate": 0.000180844635855242,
"loss": 0.7274,
"step": 6280
},
{
"epoch": 1.21,
"learning_rate": 0.00018045895738252874,
"loss": 0.7368,
"step": 6300
},
{
"epoch": 1.21,
"learning_rate": 0.00018007327890981549,
"loss": 0.724,
"step": 6320
},
{
"epoch": 1.21,
"learning_rate": 0.00017968760043710226,
"loss": 0.7229,
"step": 6340
},
{
"epoch": 1.22,
"learning_rate": 0.00017930192196438899,
"loss": 0.7216,
"step": 6360
},
{
"epoch": 1.22,
"learning_rate": 0.00017891624349167576,
"loss": 0.7292,
"step": 6380
},
{
"epoch": 1.23,
"learning_rate": 0.0001785305650189625,
"loss": 0.7226,
"step": 6400
},
{
"epoch": 1.23,
"eval_loss": 0.7554095387458801,
"eval_runtime": 25.5062,
"eval_samples_per_second": 78.412,
"eval_steps_per_second": 1.255,
"step": 6400
},
{
"epoch": 1.23,
"learning_rate": 0.00017814488654624926,
"loss": 0.7262,
"step": 6420
},
{
"epoch": 1.23,
"learning_rate": 0.000177759208073536,
"loss": 0.7274,
"step": 6440
},
{
"epoch": 1.24,
"learning_rate": 0.00017737352960082276,
"loss": 0.7271,
"step": 6460
},
{
"epoch": 1.24,
"learning_rate": 0.0001769878511281095,
"loss": 0.7299,
"step": 6480
},
{
"epoch": 1.25,
"learning_rate": 0.0001766021726553963,
"loss": 0.7264,
"step": 6500
},
{
"epoch": 1.25,
"learning_rate": 0.000176216494182683,
"loss": 0.7285,
"step": 6520
},
{
"epoch": 1.25,
"learning_rate": 0.0001758308157099698,
"loss": 0.7216,
"step": 6540
},
{
"epoch": 1.26,
"learning_rate": 0.00017544513723725654,
"loss": 0.7215,
"step": 6560
},
{
"epoch": 1.26,
"learning_rate": 0.00017505945876454326,
"loss": 0.7253,
"step": 6580
},
{
"epoch": 1.26,
"learning_rate": 0.00017467378029183004,
"loss": 0.7246,
"step": 6600
},
{
"epoch": 1.26,
"eval_loss": 0.7540405988693237,
"eval_runtime": 25.4725,
"eval_samples_per_second": 78.516,
"eval_steps_per_second": 1.256,
"step": 6600
},
{
"epoch": 1.27,
"learning_rate": 0.00017428810181911676,
"loss": 0.7166,
"step": 6620
},
{
"epoch": 1.27,
"learning_rate": 0.00017390242334640354,
"loss": 0.7213,
"step": 6640
},
{
"epoch": 1.28,
"learning_rate": 0.00017351674487369029,
"loss": 0.7305,
"step": 6660
},
{
"epoch": 1.28,
"learning_rate": 0.00017313106640097704,
"loss": 0.7347,
"step": 6680
},
{
"epoch": 1.28,
"learning_rate": 0.00017274538792826379,
"loss": 0.7272,
"step": 6700
},
{
"epoch": 1.29,
"learning_rate": 0.00017235970945555056,
"loss": 0.7224,
"step": 6720
},
{
"epoch": 1.29,
"learning_rate": 0.00017197403098283728,
"loss": 0.7327,
"step": 6740
},
{
"epoch": 1.3,
"learning_rate": 0.00017158835251012406,
"loss": 0.7228,
"step": 6760
},
{
"epoch": 1.3,
"learning_rate": 0.00017120267403741078,
"loss": 0.7344,
"step": 6780
},
{
"epoch": 1.3,
"learning_rate": 0.00017081699556469753,
"loss": 0.7269,
"step": 6800
},
{
"epoch": 1.3,
"eval_loss": 0.7531024813652039,
"eval_runtime": 25.6796,
"eval_samples_per_second": 77.883,
"eval_steps_per_second": 1.246,
"step": 6800
},
{
"epoch": 1.31,
"learning_rate": 0.0001704313170919843,
"loss": 0.7362,
"step": 6820
},
{
"epoch": 1.31,
"learning_rate": 0.00017004563861927103,
"loss": 0.7293,
"step": 6840
},
{
"epoch": 1.31,
"learning_rate": 0.0001696599601465578,
"loss": 0.7286,
"step": 6860
},
{
"epoch": 1.32,
"learning_rate": 0.00016927428167384456,
"loss": 0.7148,
"step": 6880
},
{
"epoch": 1.32,
"learning_rate": 0.0001688886032011313,
"loss": 0.72,
"step": 6900
},
{
"epoch": 1.33,
"learning_rate": 0.00016850292472841806,
"loss": 0.7239,
"step": 6920
},
{
"epoch": 1.33,
"learning_rate": 0.0001681172462557048,
"loss": 0.726,
"step": 6940
},
{
"epoch": 1.33,
"learning_rate": 0.00016773156778299156,
"loss": 0.7286,
"step": 6960
},
{
"epoch": 1.34,
"learning_rate": 0.00016734588931027834,
"loss": 0.7276,
"step": 6980
},
{
"epoch": 1.34,
"learning_rate": 0.00016696021083756506,
"loss": 0.7258,
"step": 7000
},
{
"epoch": 1.34,
"eval_loss": 0.7521764636039734,
"eval_runtime": 25.5237,
"eval_samples_per_second": 78.359,
"eval_steps_per_second": 1.254,
"step": 7000
},
{
"epoch": 1.35,
"learning_rate": 0.0001665745323648518,
"loss": 0.7326,
"step": 7020
},
{
"epoch": 1.35,
"learning_rate": 0.00016618885389213859,
"loss": 0.7311,
"step": 7040
},
{
"epoch": 1.35,
"learning_rate": 0.0001658031754194253,
"loss": 0.7295,
"step": 7060
},
{
"epoch": 1.36,
"learning_rate": 0.00016541749694671208,
"loss": 0.7279,
"step": 7080
},
{
"epoch": 1.36,
"learning_rate": 0.00016503181847399883,
"loss": 0.7293,
"step": 7100
},
{
"epoch": 1.36,
"learning_rate": 0.00016464614000128558,
"loss": 0.7256,
"step": 7120
},
{
"epoch": 1.37,
"learning_rate": 0.00016426046152857233,
"loss": 0.7204,
"step": 7140
},
{
"epoch": 1.37,
"learning_rate": 0.00016387478305585908,
"loss": 0.718,
"step": 7160
},
{
"epoch": 1.38,
"learning_rate": 0.00016348910458314583,
"loss": 0.7206,
"step": 7180
},
{
"epoch": 1.38,
"learning_rate": 0.0001631034261104326,
"loss": 0.7282,
"step": 7200
},
{
"epoch": 1.38,
"eval_loss": 0.7514960765838623,
"eval_runtime": 25.5249,
"eval_samples_per_second": 78.355,
"eval_steps_per_second": 1.254,
"step": 7200
},
{
"epoch": 1.38,
"learning_rate": 0.00016271774763771933,
"loss": 0.7162,
"step": 7220
},
{
"epoch": 1.39,
"learning_rate": 0.00016233206916500608,
"loss": 0.7277,
"step": 7240
},
{
"epoch": 1.39,
"learning_rate": 0.00016194639069229286,
"loss": 0.7147,
"step": 7260
},
{
"epoch": 1.39,
"learning_rate": 0.00016156071221957958,
"loss": 0.7339,
"step": 7280
},
{
"epoch": 1.4,
"learning_rate": 0.00016117503374686636,
"loss": 0.7257,
"step": 7300
},
{
"epoch": 1.4,
"learning_rate": 0.00016078935527415308,
"loss": 0.728,
"step": 7320
},
{
"epoch": 1.41,
"learning_rate": 0.00016040367680143986,
"loss": 0.7139,
"step": 7340
},
{
"epoch": 1.41,
"learning_rate": 0.0001600179983287266,
"loss": 0.7202,
"step": 7360
},
{
"epoch": 1.41,
"learning_rate": 0.00015963231985601336,
"loss": 0.7323,
"step": 7380
},
{
"epoch": 1.42,
"learning_rate": 0.0001592466413833001,
"loss": 0.7198,
"step": 7400
},
{
"epoch": 1.42,
"eval_loss": 0.750492513179779,
"eval_runtime": 25.8887,
"eval_samples_per_second": 77.254,
"eval_steps_per_second": 1.236,
"step": 7400
},
{
"epoch": 1.42,
"learning_rate": 0.00015886096291058688,
"loss": 0.7138,
"step": 7420
},
{
"epoch": 1.43,
"learning_rate": 0.0001584752844378736,
"loss": 0.7205,
"step": 7440
},
{
"epoch": 1.43,
"learning_rate": 0.00015808960596516038,
"loss": 0.7178,
"step": 7460
},
{
"epoch": 1.43,
"learning_rate": 0.0001577039274924471,
"loss": 0.7251,
"step": 7480
},
{
"epoch": 1.44,
"learning_rate": 0.00015731824901973386,
"loss": 0.7187,
"step": 7500
},
{
"epoch": 1.44,
"learning_rate": 0.00015693257054702063,
"loss": 0.7238,
"step": 7520
},
{
"epoch": 1.44,
"learning_rate": 0.00015654689207430736,
"loss": 0.7283,
"step": 7540
},
{
"epoch": 1.45,
"learning_rate": 0.00015616121360159413,
"loss": 0.7189,
"step": 7560
},
{
"epoch": 1.45,
"learning_rate": 0.00015577553512888088,
"loss": 0.7216,
"step": 7580
},
{
"epoch": 1.46,
"learning_rate": 0.00015538985665616763,
"loss": 0.7219,
"step": 7600
},
{
"epoch": 1.46,
"eval_loss": 0.7496184706687927,
"eval_runtime": 25.4957,
"eval_samples_per_second": 78.445,
"eval_steps_per_second": 1.255,
"step": 7600
},
{
"epoch": 1.46,
"learning_rate": 0.00015500417818345438,
"loss": 0.7233,
"step": 7620
},
{
"epoch": 1.46,
"learning_rate": 0.0001546184997107411,
"loss": 0.7241,
"step": 7640
},
{
"epoch": 1.47,
"learning_rate": 0.00015423282123802788,
"loss": 0.7194,
"step": 7660
},
{
"epoch": 1.47,
"learning_rate": 0.00015384714276531466,
"loss": 0.7229,
"step": 7680
},
{
"epoch": 1.48,
"learning_rate": 0.00015346146429260138,
"loss": 0.7219,
"step": 7700
},
{
"epoch": 1.48,
"learning_rate": 0.00015307578581988813,
"loss": 0.7027,
"step": 7720
},
{
"epoch": 1.48,
"learning_rate": 0.0001526901073471749,
"loss": 0.7171,
"step": 7740
},
{
"epoch": 1.49,
"learning_rate": 0.00015230442887446163,
"loss": 0.7193,
"step": 7760
},
{
"epoch": 1.49,
"learning_rate": 0.0001519187504017484,
"loss": 0.7269,
"step": 7780
},
{
"epoch": 1.49,
"learning_rate": 0.00015153307192903513,
"loss": 0.7171,
"step": 7800
},
{
"epoch": 1.49,
"eval_loss": 0.7494381070137024,
"eval_runtime": 25.5318,
"eval_samples_per_second": 78.334,
"eval_steps_per_second": 1.253,
"step": 7800
},
{
"epoch": 1.5,
"learning_rate": 0.0001511473934563219,
"loss": 0.7186,
"step": 7820
},
{
"epoch": 1.5,
"learning_rate": 0.00015076171498360866,
"loss": 0.7137,
"step": 7840
},
{
"epoch": 1.51,
"learning_rate": 0.00015037603651089538,
"loss": 0.7212,
"step": 7860
},
{
"epoch": 1.51,
"learning_rate": 0.00014999035803818216,
"loss": 0.7167,
"step": 7880
},
{
"epoch": 1.51,
"learning_rate": 0.0001496046795654689,
"loss": 0.7203,
"step": 7900
},
{
"epoch": 1.52,
"learning_rate": 0.00014921900109275566,
"loss": 0.714,
"step": 7920
},
{
"epoch": 1.52,
"learning_rate": 0.0001488333226200424,
"loss": 0.7153,
"step": 7940
},
{
"epoch": 1.53,
"learning_rate": 0.00014844764414732916,
"loss": 0.7176,
"step": 7960
},
{
"epoch": 1.53,
"learning_rate": 0.0001480619656746159,
"loss": 0.7049,
"step": 7980
},
{
"epoch": 1.53,
"learning_rate": 0.00014767628720190265,
"loss": 0.7204,
"step": 8000
},
{
"epoch": 1.53,
"eval_loss": 0.7486086487770081,
"eval_runtime": 25.5275,
"eval_samples_per_second": 78.347,
"eval_steps_per_second": 1.254,
"step": 8000
},
{
"epoch": 1.54,
"learning_rate": 0.00014729060872918943,
"loss": 0.7167,
"step": 8020
},
{
"epoch": 1.54,
"learning_rate": 0.00014690493025647618,
"loss": 0.72,
"step": 8040
},
{
"epoch": 1.54,
"learning_rate": 0.00014651925178376293,
"loss": 0.7203,
"step": 8060
},
{
"epoch": 1.55,
"learning_rate": 0.00014613357331104968,
"loss": 0.7258,
"step": 8080
},
{
"epoch": 1.55,
"learning_rate": 0.00014574789483833643,
"loss": 0.715,
"step": 8100
},
{
"epoch": 1.56,
"learning_rate": 0.00014536221636562318,
"loss": 0.7245,
"step": 8120
},
{
"epoch": 1.56,
"learning_rate": 0.00014497653789290993,
"loss": 0.7258,
"step": 8140
},
{
"epoch": 1.56,
"learning_rate": 0.00014459085942019668,
"loss": 0.7234,
"step": 8160
},
{
"epoch": 1.57,
"learning_rate": 0.00014420518094748343,
"loss": 0.7128,
"step": 8180
},
{
"epoch": 1.57,
"learning_rate": 0.00014381950247477018,
"loss": 0.7181,
"step": 8200
},
{
"epoch": 1.57,
"eval_loss": 0.7475513219833374,
"eval_runtime": 25.5412,
"eval_samples_per_second": 78.305,
"eval_steps_per_second": 1.253,
"step": 8200
},
{
"epoch": 1.58,
"learning_rate": 0.00014343382400205693,
"loss": 0.7236,
"step": 8220
},
{
"epoch": 1.58,
"learning_rate": 0.0001430481455293437,
"loss": 0.7125,
"step": 8240
},
{
"epoch": 1.58,
"learning_rate": 0.00014266246705663046,
"loss": 0.7186,
"step": 8260
},
{
"epoch": 1.59,
"learning_rate": 0.0001422767885839172,
"loss": 0.7203,
"step": 8280
},
{
"epoch": 1.59,
"learning_rate": 0.00014189111011120396,
"loss": 0.7156,
"step": 8300
},
{
"epoch": 1.59,
"learning_rate": 0.0001415054316384907,
"loss": 0.714,
"step": 8320
},
{
"epoch": 1.6,
"learning_rate": 0.00014111975316577745,
"loss": 0.7129,
"step": 8340
},
{
"epoch": 1.6,
"learning_rate": 0.0001407340746930642,
"loss": 0.7179,
"step": 8360
},
{
"epoch": 1.61,
"learning_rate": 0.00014036768014398662,
"loss": 0.7197,
"step": 8380
},
{
"epoch": 1.61,
"learning_rate": 0.00013998200167127337,
"loss": 0.7287,
"step": 8400
},
{
"epoch": 1.61,
"eval_loss": 0.7470650672912598,
"eval_runtime": 25.5238,
"eval_samples_per_second": 78.358,
"eval_steps_per_second": 1.254,
"step": 8400
},
{
"epoch": 1.61,
"learning_rate": 0.00013959632319856011,
"loss": 0.718,
"step": 8420
},
{
"epoch": 1.62,
"learning_rate": 0.00013921064472584686,
"loss": 0.7166,
"step": 8440
},
{
"epoch": 1.62,
"learning_rate": 0.00013882496625313361,
"loss": 0.7218,
"step": 8460
},
{
"epoch": 1.62,
"learning_rate": 0.0001384392877804204,
"loss": 0.723,
"step": 8480
},
{
"epoch": 1.63,
"learning_rate": 0.00013805360930770714,
"loss": 0.7104,
"step": 8500
},
{
"epoch": 1.63,
"learning_rate": 0.0001376679308349939,
"loss": 0.7136,
"step": 8520
},
{
"epoch": 1.64,
"learning_rate": 0.0001372822523622806,
"loss": 0.7237,
"step": 8540
},
{
"epoch": 1.64,
"learning_rate": 0.0001368965738895674,
"loss": 0.7196,
"step": 8560
},
{
"epoch": 1.64,
"learning_rate": 0.00013651089541685414,
"loss": 0.7218,
"step": 8580
},
{
"epoch": 1.65,
"learning_rate": 0.0001361252169441409,
"loss": 0.7132,
"step": 8600
},
{
"epoch": 1.65,
"eval_loss": 0.7465201020240784,
"eval_runtime": 25.542,
"eval_samples_per_second": 78.302,
"eval_steps_per_second": 1.253,
"step": 8600
},
{
"epoch": 1.65,
"learning_rate": 0.00013573953847142764,
"loss": 0.7139,
"step": 8620
},
{
"epoch": 1.66,
"learning_rate": 0.0001353538599987144,
"loss": 0.7093,
"step": 8640
},
{
"epoch": 1.66,
"learning_rate": 0.00013496818152600114,
"loss": 0.7243,
"step": 8660
},
{
"epoch": 1.66,
"learning_rate": 0.0001345825030532879,
"loss": 0.7127,
"step": 8680
},
{
"epoch": 1.67,
"learning_rate": 0.00013419682458057464,
"loss": 0.7148,
"step": 8700
},
{
"epoch": 1.67,
"learning_rate": 0.00013381114610786142,
"loss": 0.7236,
"step": 8720
},
{
"epoch": 1.67,
"learning_rate": 0.00013342546763514817,
"loss": 0.7103,
"step": 8740
},
{
"epoch": 1.68,
"learning_rate": 0.0001330397891624349,
"loss": 0.7133,
"step": 8760
},
{
"epoch": 1.68,
"learning_rate": 0.00013265411068972164,
"loss": 0.7182,
"step": 8780
},
{
"epoch": 1.69,
"learning_rate": 0.00013226843221700841,
"loss": 0.7198,
"step": 8800
},
{
"epoch": 1.69,
"eval_loss": 0.7450763583183289,
"eval_runtime": 25.4725,
"eval_samples_per_second": 78.516,
"eval_steps_per_second": 1.256,
"step": 8800
},
{
"epoch": 1.69,
"learning_rate": 0.00013188275374429516,
"loss": 0.7073,
"step": 8820
},
{
"epoch": 1.69,
"learning_rate": 0.00013149707527158191,
"loss": 0.7208,
"step": 8840
},
{
"epoch": 1.7,
"learning_rate": 0.00013111139679886866,
"loss": 0.7067,
"step": 8860
},
{
"epoch": 1.7,
"learning_rate": 0.0001307257183261554,
"loss": 0.7149,
"step": 8880
},
{
"epoch": 1.71,
"learning_rate": 0.00013034003985344216,
"loss": 0.7133,
"step": 8900
},
{
"epoch": 1.71,
"learning_rate": 0.0001299543613807289,
"loss": 0.7137,
"step": 8920
},
{
"epoch": 1.71,
"learning_rate": 0.0001295686829080157,
"loss": 0.719,
"step": 8940
},
{
"epoch": 1.72,
"learning_rate": 0.00012918300443530244,
"loss": 0.7198,
"step": 8960
},
{
"epoch": 1.72,
"learning_rate": 0.0001287973259625892,
"loss": 0.7074,
"step": 8980
},
{
"epoch": 1.72,
"learning_rate": 0.0001284116474898759,
"loss": 0.7216,
"step": 9000
},
{
"epoch": 1.72,
"eval_loss": 0.7454459071159363,
"eval_runtime": 25.5717,
"eval_samples_per_second": 78.211,
"eval_steps_per_second": 1.251,
"step": 9000
},
{
"epoch": 1.73,
"learning_rate": 0.0001280259690171627,
"loss": 0.7203,
"step": 9020
},
{
"epoch": 1.73,
"learning_rate": 0.00012764029054444944,
"loss": 0.7133,
"step": 9040
},
{
"epoch": 1.74,
"learning_rate": 0.0001272546120717362,
"loss": 0.7081,
"step": 9060
},
{
"epoch": 1.74,
"learning_rate": 0.00012686893359902294,
"loss": 0.7153,
"step": 9080
},
{
"epoch": 1.74,
"learning_rate": 0.0001264832551263097,
"loss": 0.7108,
"step": 9100
},
{
"epoch": 1.75,
"learning_rate": 0.00012609757665359644,
"loss": 0.7106,
"step": 9120
},
{
"epoch": 1.75,
"learning_rate": 0.0001257118981808832,
"loss": 0.7117,
"step": 9140
},
{
"epoch": 1.76,
"learning_rate": 0.00012532621970816994,
"loss": 0.7171,
"step": 9160
},
{
"epoch": 1.76,
"learning_rate": 0.00012494054123545671,
"loss": 0.7148,
"step": 9180
},
{
"epoch": 1.76,
"learning_rate": 0.00012455486276274346,
"loss": 0.714,
"step": 9200
},
{
"epoch": 1.76,
"eval_loss": 0.7446411848068237,
"eval_runtime": 25.5622,
"eval_samples_per_second": 78.24,
"eval_steps_per_second": 1.252,
"step": 9200
},
{
"epoch": 1.77,
"learning_rate": 0.00012416918429003019,
"loss": 0.7133,
"step": 9220
},
{
"epoch": 1.77,
"learning_rate": 0.00012378350581731694,
"loss": 0.7108,
"step": 9240
},
{
"epoch": 1.77,
"learning_rate": 0.0001233978273446037,
"loss": 0.7147,
"step": 9260
},
{
"epoch": 1.78,
"learning_rate": 0.00012301214887189046,
"loss": 0.715,
"step": 9280
},
{
"epoch": 1.78,
"learning_rate": 0.0001226264703991772,
"loss": 0.7255,
"step": 9300
},
{
"epoch": 1.79,
"learning_rate": 0.00012224079192646396,
"loss": 0.7168,
"step": 9320
},
{
"epoch": 1.79,
"learning_rate": 0.00012185511345375073,
"loss": 0.7155,
"step": 9340
},
{
"epoch": 1.79,
"learning_rate": 0.00012146943498103746,
"loss": 0.7064,
"step": 9360
},
{
"epoch": 1.8,
"learning_rate": 0.00012108375650832421,
"loss": 0.716,
"step": 9380
},
{
"epoch": 1.8,
"learning_rate": 0.00012069807803561096,
"loss": 0.7145,
"step": 9400
},
{
"epoch": 1.8,
"eval_loss": 0.7441000938415527,
"eval_runtime": 25.7378,
"eval_samples_per_second": 77.707,
"eval_steps_per_second": 1.243,
"step": 9400
},
{
"epoch": 1.8,
"learning_rate": 0.00012031239956289772,
"loss": 0.7135,
"step": 9420
},
{
"epoch": 1.81,
"learning_rate": 0.00011992672109018447,
"loss": 0.7164,
"step": 9440
},
{
"epoch": 1.81,
"learning_rate": 0.00011954104261747122,
"loss": 0.714,
"step": 9460
},
{
"epoch": 1.82,
"learning_rate": 0.00011915536414475797,
"loss": 0.7173,
"step": 9480
},
{
"epoch": 1.82,
"learning_rate": 0.00011876968567204474,
"loss": 0.7102,
"step": 9500
},
{
"epoch": 1.82,
"learning_rate": 0.00011838400719933149,
"loss": 0.7122,
"step": 9520
},
{
"epoch": 1.83,
"learning_rate": 0.00011799832872661822,
"loss": 0.7197,
"step": 9540
},
{
"epoch": 1.83,
"learning_rate": 0.00011761265025390497,
"loss": 0.7132,
"step": 9560
},
{
"epoch": 1.84,
"learning_rate": 0.00011722697178119174,
"loss": 0.7255,
"step": 9580
},
{
"epoch": 1.84,
"learning_rate": 0.00011684129330847849,
"loss": 0.7175,
"step": 9600
},
{
"epoch": 1.84,
"eval_loss": 0.7432481646537781,
"eval_runtime": 25.5076,
"eval_samples_per_second": 78.408,
"eval_steps_per_second": 1.255,
"step": 9600
},
{
"epoch": 1.84,
"learning_rate": 0.00011645561483576524,
"loss": 0.7125,
"step": 9620
},
{
"epoch": 1.85,
"learning_rate": 0.00011606993636305199,
"loss": 0.7119,
"step": 9640
},
{
"epoch": 1.85,
"learning_rate": 0.00011568425789033875,
"loss": 0.7147,
"step": 9660
},
{
"epoch": 1.85,
"learning_rate": 0.0001152985794176255,
"loss": 0.7101,
"step": 9680
},
{
"epoch": 1.86,
"learning_rate": 0.00011491290094491225,
"loss": 0.7105,
"step": 9700
},
{
"epoch": 1.86,
"learning_rate": 0.000114527222472199,
"loss": 0.7153,
"step": 9720
},
{
"epoch": 1.87,
"learning_rate": 0.00011414154399948576,
"loss": 0.7047,
"step": 9740
},
{
"epoch": 1.87,
"learning_rate": 0.00011375586552677251,
"loss": 0.6967,
"step": 9760
},
{
"epoch": 1.87,
"learning_rate": 0.00011337018705405925,
"loss": 0.7094,
"step": 9780
},
{
"epoch": 1.88,
"learning_rate": 0.000112984508581346,
"loss": 0.7195,
"step": 9800
},
{
"epoch": 1.88,
"eval_loss": 0.7431700229644775,
"eval_runtime": 25.5752,
"eval_samples_per_second": 78.201,
"eval_steps_per_second": 1.251,
"step": 9800
},
{
"epoch": 1.88,
"learning_rate": 0.00011259883010863276,
"loss": 0.7122,
"step": 9820
},
{
"epoch": 1.89,
"learning_rate": 0.00011221315163591951,
"loss": 0.7193,
"step": 9840
},
{
"epoch": 1.89,
"learning_rate": 0.00011182747316320626,
"loss": 0.7147,
"step": 9860
},
{
"epoch": 1.89,
"learning_rate": 0.00011144179469049301,
"loss": 0.7058,
"step": 9880
},
{
"epoch": 1.9,
"learning_rate": 0.00011105611621777977,
"loss": 0.7106,
"step": 9900
},
{
"epoch": 1.9,
"learning_rate": 0.00011067043774506652,
"loss": 0.71,
"step": 9920
},
{
"epoch": 1.9,
"learning_rate": 0.00011028475927235327,
"loss": 0.7182,
"step": 9940
},
{
"epoch": 1.91,
"learning_rate": 0.00010989908079964002,
"loss": 0.7048,
"step": 9960
},
{
"epoch": 1.91,
"learning_rate": 0.00010951340232692679,
"loss": 0.7165,
"step": 9980
},
{
"epoch": 1.92,
"learning_rate": 0.00010912772385421352,
"loss": 0.7153,
"step": 10000
},
{
"epoch": 1.92,
"eval_loss": 0.7425808310508728,
"eval_runtime": 25.6297,
"eval_samples_per_second": 78.034,
"eval_steps_per_second": 1.249,
"step": 10000
},
{
"epoch": 1.92,
"learning_rate": 0.00010874204538150027,
"loss": 0.7127,
"step": 10020
},
{
"epoch": 1.92,
"learning_rate": 0.00010835636690878702,
"loss": 0.7062,
"step": 10040
},
{
"epoch": 1.93,
"learning_rate": 0.00010797068843607378,
"loss": 0.7125,
"step": 10060
},
{
"epoch": 1.93,
"learning_rate": 0.00010758500996336053,
"loss": 0.7114,
"step": 10080
},
{
"epoch": 1.94,
"learning_rate": 0.00010719933149064728,
"loss": 0.7096,
"step": 10100
},
{
"epoch": 1.94,
"learning_rate": 0.00010681365301793405,
"loss": 0.7119,
"step": 10120
},
{
"epoch": 1.94,
"learning_rate": 0.0001064279745452208,
"loss": 0.7034,
"step": 10140
},
{
"epoch": 1.95,
"learning_rate": 0.00010604229607250755,
"loss": 0.7049,
"step": 10160
},
{
"epoch": 1.95,
"learning_rate": 0.0001056566175997943,
"loss": 0.7156,
"step": 10180
},
{
"epoch": 1.95,
"learning_rate": 0.00010527093912708106,
"loss": 0.718,
"step": 10200
},
{
"epoch": 1.95,
"eval_loss": 0.7418650984764099,
"eval_runtime": 25.554,
"eval_samples_per_second": 78.266,
"eval_steps_per_second": 1.252,
"step": 10200
},
{
"epoch": 1.96,
"learning_rate": 0.00010488526065436781,
"loss": 0.7141,
"step": 10220
},
{
"epoch": 1.96,
"learning_rate": 0.00010449958218165455,
"loss": 0.7073,
"step": 10240
},
{
"epoch": 1.97,
"learning_rate": 0.0001041139037089413,
"loss": 0.7129,
"step": 10260
},
{
"epoch": 1.97,
"learning_rate": 0.00010372822523622806,
"loss": 0.7174,
"step": 10280
},
{
"epoch": 1.97,
"learning_rate": 0.00010334254676351481,
"loss": 0.7112,
"step": 10300
},
{
"epoch": 1.98,
"learning_rate": 0.00010295686829080156,
"loss": 0.7073,
"step": 10320
},
{
"epoch": 1.98,
"learning_rate": 0.00010257118981808831,
"loss": 0.7164,
"step": 10340
},
{
"epoch": 1.99,
"learning_rate": 0.00010218551134537507,
"loss": 0.7057,
"step": 10360
},
{
"epoch": 1.99,
"learning_rate": 0.00010179983287266182,
"loss": 0.709,
"step": 10380
},
{
"epoch": 1.99,
"learning_rate": 0.00010141415439994857,
"loss": 0.7147,
"step": 10400
},
{
"epoch": 1.99,
"eval_loss": 0.7417293787002563,
"eval_runtime": 25.4964,
"eval_samples_per_second": 78.443,
"eval_steps_per_second": 1.255,
"step": 10400
},
{
"epoch": 2.0,
"learning_rate": 0.00010102847592723531,
"loss": 0.713,
"step": 10420
},
{
"epoch": 2.0,
"learning_rate": 0.00010064279745452208,
"loss": 0.7128,
"step": 10440
},
{
"epoch": 2.0,
"learning_rate": 0.00010025711898180882,
"loss": 0.7094,
"step": 10460
},
{
"epoch": 2.01,
"learning_rate": 9.987144050909557e-05,
"loss": 0.7008,
"step": 10480
},
{
"epoch": 2.01,
"learning_rate": 9.948576203638232e-05,
"loss": 0.7083,
"step": 10500
},
{
"epoch": 2.02,
"learning_rate": 9.910008356366908e-05,
"loss": 0.7049,
"step": 10520
},
{
"epoch": 2.02,
"learning_rate": 9.871440509095583e-05,
"loss": 0.7041,
"step": 10540
},
{
"epoch": 2.02,
"learning_rate": 9.834801054187824e-05,
"loss": 0.7105,
"step": 10560
},
{
"epoch": 2.03,
"learning_rate": 9.7962332069165e-05,
"loss": 0.7041,
"step": 10580
},
{
"epoch": 2.03,
"learning_rate": 9.757665359645176e-05,
"loss": 0.7103,
"step": 10600
},
{
"epoch": 2.03,
"eval_loss": 0.7410894632339478,
"eval_runtime": 25.5424,
"eval_samples_per_second": 78.301,
"eval_steps_per_second": 1.253,
"step": 10600
},
{
"epoch": 2.03,
"learning_rate": 9.71909751237385e-05,
"loss": 0.7037,
"step": 10620
},
{
"epoch": 2.04,
"learning_rate": 9.680529665102524e-05,
"loss": 0.7078,
"step": 10640
},
{
"epoch": 2.04,
"learning_rate": 9.641961817831202e-05,
"loss": 0.7116,
"step": 10660
},
{
"epoch": 2.05,
"learning_rate": 9.603393970559876e-05,
"loss": 0.7094,
"step": 10680
},
{
"epoch": 2.05,
"learning_rate": 9.56482612328855e-05,
"loss": 0.7217,
"step": 10700
},
{
"epoch": 2.05,
"learning_rate": 9.526258276017226e-05,
"loss": 0.7038,
"step": 10720
},
{
"epoch": 2.06,
"learning_rate": 9.487690428745902e-05,
"loss": 0.7131,
"step": 10740
},
{
"epoch": 2.06,
"learning_rate": 9.449122581474577e-05,
"loss": 0.7051,
"step": 10760
},
{
"epoch": 2.07,
"learning_rate": 9.410554734203252e-05,
"loss": 0.7058,
"step": 10780
},
{
"epoch": 2.07,
"learning_rate": 9.371986886931927e-05,
"loss": 0.7039,
"step": 10800
},
{
"epoch": 2.07,
"eval_loss": 0.7405736446380615,
"eval_runtime": 25.7467,
"eval_samples_per_second": 77.68,
"eval_steps_per_second": 1.243,
"step": 10800
},
{
"epoch": 2.07,
"learning_rate": 9.333419039660603e-05,
"loss": 0.7101,
"step": 10820
},
{
"epoch": 2.08,
"learning_rate": 9.294851192389278e-05,
"loss": 0.6991,
"step": 10840
},
{
"epoch": 2.08,
"learning_rate": 9.256283345117953e-05,
"loss": 0.7069,
"step": 10860
},
{
"epoch": 2.08,
"learning_rate": 9.217715497846627e-05,
"loss": 0.7094,
"step": 10880
},
{
"epoch": 2.09,
"learning_rate": 9.179147650575303e-05,
"loss": 0.7103,
"step": 10900
},
{
"epoch": 2.09,
"learning_rate": 9.140579803303978e-05,
"loss": 0.7015,
"step": 10920
},
{
"epoch": 2.1,
"learning_rate": 9.102011956032653e-05,
"loss": 0.712,
"step": 10940
},
{
"epoch": 2.1,
"learning_rate": 9.063444108761328e-05,
"loss": 0.707,
"step": 10960
},
{
"epoch": 2.1,
"learning_rate": 9.024876261490004e-05,
"loss": 0.7009,
"step": 10980
},
{
"epoch": 2.11,
"learning_rate": 8.986308414218679e-05,
"loss": 0.7062,
"step": 11000
},
{
"epoch": 2.11,
"eval_loss": 0.7398320436477661,
"eval_runtime": 25.5459,
"eval_samples_per_second": 78.29,
"eval_steps_per_second": 1.253,
"step": 11000
},
{
"epoch": 2.11,
"learning_rate": 8.947740566947354e-05,
"loss": 0.7054,
"step": 11020
},
{
"epoch": 2.12,
"learning_rate": 8.909172719676029e-05,
"loss": 0.7094,
"step": 11040
},
{
"epoch": 2.12,
"learning_rate": 8.870604872404706e-05,
"loss": 0.7059,
"step": 11060
},
{
"epoch": 2.12,
"learning_rate": 8.83203702513338e-05,
"loss": 0.7202,
"step": 11080
},
{
"epoch": 2.13,
"learning_rate": 8.793469177862054e-05,
"loss": 0.699,
"step": 11100
},
{
"epoch": 2.13,
"learning_rate": 8.754901330590729e-05,
"loss": 0.7137,
"step": 11120
},
{
"epoch": 2.13,
"learning_rate": 8.716333483319405e-05,
"loss": 0.7048,
"step": 11140
},
{
"epoch": 2.14,
"learning_rate": 8.67776563604808e-05,
"loss": 0.7089,
"step": 11160
},
{
"epoch": 2.14,
"learning_rate": 8.639197788776755e-05,
"loss": 0.7057,
"step": 11180
},
{
"epoch": 2.15,
"learning_rate": 8.60062994150543e-05,
"loss": 0.709,
"step": 11200
},
{
"epoch": 2.15,
"eval_loss": 0.7393301725387573,
"eval_runtime": 25.7257,
"eval_samples_per_second": 77.743,
"eval_steps_per_second": 1.244,
"step": 11200
},
{
"epoch": 2.15,
"learning_rate": 8.562062094234107e-05,
"loss": 0.7027,
"step": 11220
},
{
"epoch": 2.15,
"learning_rate": 8.523494246962782e-05,
"loss": 0.7082,
"step": 11240
},
{
"epoch": 2.16,
"learning_rate": 8.484926399691457e-05,
"loss": 0.7007,
"step": 11260
},
{
"epoch": 2.16,
"learning_rate": 8.446358552420132e-05,
"loss": 0.7011,
"step": 11280
},
{
"epoch": 2.17,
"learning_rate": 8.407790705148808e-05,
"loss": 0.7067,
"step": 11300
},
{
"epoch": 2.17,
"learning_rate": 8.369222857877483e-05,
"loss": 0.702,
"step": 11320
},
{
"epoch": 2.17,
"learning_rate": 8.330655010606157e-05,
"loss": 0.7126,
"step": 11340
},
{
"epoch": 2.18,
"learning_rate": 8.292087163334832e-05,
"loss": 0.6947,
"step": 11360
},
{
"epoch": 2.18,
"learning_rate": 8.253519316063508e-05,
"loss": 0.7033,
"step": 11380
},
{
"epoch": 2.18,
"learning_rate": 8.214951468792183e-05,
"loss": 0.7075,
"step": 11400
},
{
"epoch": 2.18,
"eval_loss": 0.7390503883361816,
"eval_runtime": 25.6097,
"eval_samples_per_second": 78.095,
"eval_steps_per_second": 1.25,
"step": 11400
},
{
"epoch": 2.19,
"learning_rate": 8.176383621520858e-05,
"loss": 0.7081,
"step": 11420
},
{
"epoch": 2.19,
"learning_rate": 8.137815774249533e-05,
"loss": 0.7114,
"step": 11440
},
{
"epoch": 2.2,
"learning_rate": 8.099247926978209e-05,
"loss": 0.7105,
"step": 11460
},
{
"epoch": 2.2,
"learning_rate": 8.060680079706884e-05,
"loss": 0.7113,
"step": 11480
},
{
"epoch": 2.2,
"learning_rate": 8.022112232435559e-05,
"loss": 0.7109,
"step": 11500
},
{
"epoch": 2.21,
"learning_rate": 7.983544385164233e-05,
"loss": 0.7039,
"step": 11520
},
{
"epoch": 2.21,
"learning_rate": 7.94497653789291e-05,
"loss": 0.7144,
"step": 11540
},
{
"epoch": 2.21,
"learning_rate": 7.906408690621584e-05,
"loss": 0.7003,
"step": 11560
},
{
"epoch": 2.22,
"learning_rate": 7.867840843350259e-05,
"loss": 0.7028,
"step": 11580
},
{
"epoch": 2.22,
"learning_rate": 7.829272996078934e-05,
"loss": 0.7018,
"step": 11600
},
{
"epoch": 2.22,
"eval_loss": 0.7388148307800293,
"eval_runtime": 25.5069,
"eval_samples_per_second": 78.41,
"eval_steps_per_second": 1.255,
"step": 11600
},
{
"epoch": 2.23,
"learning_rate": 7.79070514880761e-05,
"loss": 0.7113,
"step": 11620
},
{
"epoch": 2.23,
"learning_rate": 7.752137301536285e-05,
"loss": 0.7136,
"step": 11640
},
{
"epoch": 2.23,
"learning_rate": 7.71356945426496e-05,
"loss": 0.7097,
"step": 11660
},
{
"epoch": 2.24,
"learning_rate": 7.675001606993635e-05,
"loss": 0.7057,
"step": 11680
},
{
"epoch": 2.24,
"learning_rate": 7.636433759722312e-05,
"loss": 0.7028,
"step": 11700
},
{
"epoch": 2.25,
"learning_rate": 7.597865912450986e-05,
"loss": 0.708,
"step": 11720
},
{
"epoch": 2.25,
"learning_rate": 7.559298065179661e-05,
"loss": 0.7088,
"step": 11740
},
{
"epoch": 2.25,
"learning_rate": 7.520730217908335e-05,
"loss": 0.7024,
"step": 11760
},
{
"epoch": 2.26,
"learning_rate": 7.482162370637011e-05,
"loss": 0.7016,
"step": 11780
},
{
"epoch": 2.26,
"learning_rate": 7.443594523365686e-05,
"loss": 0.7132,
"step": 11800
},
{
"epoch": 2.26,
"eval_loss": 0.7381731271743774,
"eval_runtime": 25.4976,
"eval_samples_per_second": 78.439,
"eval_steps_per_second": 1.255,
"step": 11800
},
{
"epoch": 2.26,
"learning_rate": 7.405026676094361e-05,
"loss": 0.6969,
"step": 11820
},
{
"epoch": 2.27,
"learning_rate": 7.366458828823038e-05,
"loss": 0.7042,
"step": 11840
},
{
"epoch": 2.27,
"learning_rate": 7.327890981551713e-05,
"loss": 0.7088,
"step": 11860
},
{
"epoch": 2.28,
"learning_rate": 7.289323134280388e-05,
"loss": 0.7109,
"step": 11880
},
{
"epoch": 2.28,
"learning_rate": 7.250755287009063e-05,
"loss": 0.7046,
"step": 11900
},
{
"epoch": 2.28,
"learning_rate": 7.212187439737738e-05,
"loss": 0.706,
"step": 11920
},
{
"epoch": 2.29,
"learning_rate": 7.173619592466414e-05,
"loss": 0.7045,
"step": 11940
},
{
"epoch": 2.29,
"learning_rate": 7.135051745195089e-05,
"loss": 0.7121,
"step": 11960
},
{
"epoch": 2.3,
"learning_rate": 7.096483897923764e-05,
"loss": 0.6946,
"step": 11980
},
{
"epoch": 2.3,
"learning_rate": 7.057916050652439e-05,
"loss": 0.7003,
"step": 12000
},
{
"epoch": 2.3,
"eval_loss": 0.7378225922584534,
"eval_runtime": 25.5221,
"eval_samples_per_second": 78.363,
"eval_steps_per_second": 1.254,
"step": 12000
},
{
"epoch": 2.3,
"learning_rate": 7.019348203381114e-05,
"loss": 0.7147,
"step": 12020
},
{
"epoch": 2.31,
"learning_rate": 6.980780356109789e-05,
"loss": 0.7066,
"step": 12040
},
{
"epoch": 2.31,
"learning_rate": 6.942212508838465e-05,
"loss": 0.6997,
"step": 12060
},
{
"epoch": 2.31,
"learning_rate": 6.90364466156714e-05,
"loss": 0.7083,
"step": 12080
},
{
"epoch": 2.32,
"learning_rate": 6.865076814295815e-05,
"loss": 0.6991,
"step": 12100
},
{
"epoch": 2.32,
"learning_rate": 6.82650896702449e-05,
"loss": 0.6982,
"step": 12120
},
{
"epoch": 2.33,
"learning_rate": 6.787941119753165e-05,
"loss": 0.7028,
"step": 12140
},
{
"epoch": 2.33,
"learning_rate": 6.74937327248184e-05,
"loss": 0.704,
"step": 12160
},
{
"epoch": 2.33,
"learning_rate": 6.710805425210516e-05,
"loss": 0.7084,
"step": 12180
},
{
"epoch": 2.34,
"learning_rate": 6.672237577939191e-05,
"loss": 0.7061,
"step": 12200
},
{
"epoch": 2.34,
"eval_loss": 0.7376002669334412,
"eval_runtime": 25.5156,
"eval_samples_per_second": 78.383,
"eval_steps_per_second": 1.254,
"step": 12200
},
{
"epoch": 2.34,
"learning_rate": 6.633669730667866e-05,
"loss": 0.7017,
"step": 12220
},
{
"epoch": 2.35,
"learning_rate": 6.595101883396541e-05,
"loss": 0.6949,
"step": 12240
},
{
"epoch": 2.35,
"learning_rate": 6.556534036125216e-05,
"loss": 0.6985,
"step": 12260
},
{
"epoch": 2.35,
"learning_rate": 6.517966188853891e-05,
"loss": 0.7075,
"step": 12280
},
{
"epoch": 2.36,
"learning_rate": 6.479398341582568e-05,
"loss": 0.6997,
"step": 12300
},
{
"epoch": 2.36,
"learning_rate": 6.440830494311241e-05,
"loss": 0.7045,
"step": 12320
},
{
"epoch": 2.36,
"learning_rate": 6.402262647039918e-05,
"loss": 0.7148,
"step": 12340
},
{
"epoch": 2.37,
"learning_rate": 6.363694799768592e-05,
"loss": 0.7085,
"step": 12360
},
{
"epoch": 2.37,
"learning_rate": 6.325126952497267e-05,
"loss": 0.7062,
"step": 12380
},
{
"epoch": 2.38,
"learning_rate": 6.286559105225942e-05,
"loss": 0.7092,
"step": 12400
},
{
"epoch": 2.38,
"eval_loss": 0.7370800971984863,
"eval_runtime": 25.5432,
"eval_samples_per_second": 78.299,
"eval_steps_per_second": 1.253,
"step": 12400
},
{
"epoch": 2.38,
"learning_rate": 6.247991257954619e-05,
"loss": 0.7069,
"step": 12420
},
{
"epoch": 2.38,
"learning_rate": 6.209423410683292e-05,
"loss": 0.7083,
"step": 12440
},
{
"epoch": 2.39,
"learning_rate": 6.170855563411969e-05,
"loss": 0.7126,
"step": 12460
},
{
"epoch": 2.39,
"learning_rate": 6.132287716140644e-05,
"loss": 0.7062,
"step": 12480
},
{
"epoch": 2.4,
"learning_rate": 6.0937198688693187e-05,
"loss": 0.7149,
"step": 12500
},
{
"epoch": 2.4,
"learning_rate": 6.0551520215979936e-05,
"loss": 0.7111,
"step": 12520
},
{
"epoch": 2.4,
"learning_rate": 6.016584174326669e-05,
"loss": 0.7059,
"step": 12540
},
{
"epoch": 2.41,
"learning_rate": 5.978016327055344e-05,
"loss": 0.7169,
"step": 12560
},
{
"epoch": 2.41,
"learning_rate": 5.93944847978402e-05,
"loss": 0.7052,
"step": 12580
},
{
"epoch": 2.41,
"learning_rate": 5.900880632512694e-05,
"loss": 0.7019,
"step": 12600
},
{
"epoch": 2.41,
"eval_loss": 0.7369959354400635,
"eval_runtime": 25.5241,
"eval_samples_per_second": 78.357,
"eval_steps_per_second": 1.254,
"step": 12600
},
{
"epoch": 2.42,
"learning_rate": 5.86231278524137e-05,
"loss": 0.7026,
"step": 12620
},
{
"epoch": 2.42,
"learning_rate": 5.823744937970045e-05,
"loss": 0.6981,
"step": 12640
},
{
"epoch": 2.43,
"learning_rate": 5.7851770906987205e-05,
"loss": 0.7044,
"step": 12660
},
{
"epoch": 2.43,
"learning_rate": 5.7466092434273955e-05,
"loss": 0.7087,
"step": 12680
},
{
"epoch": 2.43,
"learning_rate": 5.708041396156071e-05,
"loss": 0.7039,
"step": 12700
},
{
"epoch": 2.44,
"learning_rate": 5.6694735488847454e-05,
"loss": 0.7015,
"step": 12720
},
{
"epoch": 2.44,
"learning_rate": 5.630905701613421e-05,
"loss": 0.7053,
"step": 12740
},
{
"epoch": 2.44,
"learning_rate": 5.592337854342096e-05,
"loss": 0.7037,
"step": 12760
},
{
"epoch": 2.45,
"learning_rate": 5.553770007070772e-05,
"loss": 0.6938,
"step": 12780
},
{
"epoch": 2.45,
"learning_rate": 5.515202159799447e-05,
"loss": 0.7063,
"step": 12800
},
{
"epoch": 2.45,
"eval_loss": 0.7364639639854431,
"eval_runtime": 25.4856,
"eval_samples_per_second": 78.476,
"eval_steps_per_second": 1.256,
"step": 12800
},
{
"epoch": 2.46,
"learning_rate": 5.476634312528122e-05,
"loss": 0.7013,
"step": 12820
},
{
"epoch": 2.46,
"learning_rate": 5.4380664652567966e-05,
"loss": 0.7012,
"step": 12840
},
{
"epoch": 2.46,
"learning_rate": 5.399498617985472e-05,
"loss": 0.7,
"step": 12860
},
{
"epoch": 2.47,
"learning_rate": 5.360930770714147e-05,
"loss": 0.7017,
"step": 12880
},
{
"epoch": 2.47,
"learning_rate": 5.322362923442823e-05,
"loss": 0.7145,
"step": 12900
},
{
"epoch": 2.48,
"learning_rate": 5.283795076171498e-05,
"loss": 0.7156,
"step": 12920
},
{
"epoch": 2.48,
"learning_rate": 5.247155621263739e-05,
"loss": 0.6965,
"step": 12940
},
{
"epoch": 2.48,
"learning_rate": 5.2085877739924146e-05,
"loss": 0.7001,
"step": 12960
},
{
"epoch": 2.49,
"learning_rate": 5.1700199267210896e-05,
"loss": 0.7012,
"step": 12980
},
{
"epoch": 2.49,
"learning_rate": 5.131452079449765e-05,
"loss": 0.6939,
"step": 13000
},
{
"epoch": 2.49,
"eval_loss": 0.7364306449890137,
"eval_runtime": 25.5093,
"eval_samples_per_second": 78.403,
"eval_steps_per_second": 1.254,
"step": 13000
},
{
"epoch": 2.49,
"learning_rate": 5.09288423217844e-05,
"loss": 0.7084,
"step": 13020
},
{
"epoch": 2.5,
"learning_rate": 5.054316384907115e-05,
"loss": 0.6987,
"step": 13040
},
{
"epoch": 2.5,
"learning_rate": 5.01574853763579e-05,
"loss": 0.7087,
"step": 13060
},
{
"epoch": 2.51,
"learning_rate": 4.977180690364466e-05,
"loss": 0.7028,
"step": 13080
},
{
"epoch": 2.51,
"learning_rate": 4.938612843093141e-05,
"loss": 0.7012,
"step": 13100
},
{
"epoch": 2.51,
"learning_rate": 4.9000449958218165e-05,
"loss": 0.6959,
"step": 13120
},
{
"epoch": 2.52,
"learning_rate": 4.861477148550491e-05,
"loss": 0.7056,
"step": 13140
},
{
"epoch": 2.52,
"learning_rate": 4.8229093012791664e-05,
"loss": 0.716,
"step": 13160
},
{
"epoch": 2.53,
"learning_rate": 4.7843414540078414e-05,
"loss": 0.7144,
"step": 13180
},
{
"epoch": 2.53,
"learning_rate": 4.745773606736517e-05,
"loss": 0.6969,
"step": 13200
},
{
"epoch": 2.53,
"eval_loss": 0.7360122203826904,
"eval_runtime": 25.4878,
"eval_samples_per_second": 78.469,
"eval_steps_per_second": 1.256,
"step": 13200
},
{
"epoch": 2.53,
"learning_rate": 4.707205759465192e-05,
"loss": 0.6993,
"step": 13220
},
{
"epoch": 2.54,
"learning_rate": 4.668637912193868e-05,
"loss": 0.7013,
"step": 13240
},
{
"epoch": 2.54,
"learning_rate": 4.630070064922542e-05,
"loss": 0.7033,
"step": 13260
},
{
"epoch": 2.54,
"learning_rate": 4.5915022176512176e-05,
"loss": 0.7067,
"step": 13280
},
{
"epoch": 2.55,
"learning_rate": 4.5529343703798926e-05,
"loss": 0.6886,
"step": 13300
},
{
"epoch": 2.55,
"learning_rate": 4.514366523108568e-05,
"loss": 0.7061,
"step": 13320
},
{
"epoch": 2.56,
"learning_rate": 4.475798675837243e-05,
"loss": 0.7027,
"step": 13340
},
{
"epoch": 2.56,
"learning_rate": 4.437230828565919e-05,
"loss": 0.6982,
"step": 13360
},
{
"epoch": 2.56,
"learning_rate": 4.398662981294593e-05,
"loss": 0.7042,
"step": 13380
},
{
"epoch": 2.57,
"learning_rate": 4.360095134023269e-05,
"loss": 0.6956,
"step": 13400
},
{
"epoch": 2.57,
"eval_loss": 0.7356610298156738,
"eval_runtime": 25.5629,
"eval_samples_per_second": 78.238,
"eval_steps_per_second": 1.252,
"step": 13400
},
{
"epoch": 2.57,
"learning_rate": 4.321527286751944e-05,
"loss": 0.7046,
"step": 13420
},
{
"epoch": 2.58,
"learning_rate": 4.2829594394806195e-05,
"loss": 0.7053,
"step": 13440
},
{
"epoch": 2.58,
"learning_rate": 4.2443915922092944e-05,
"loss": 0.707,
"step": 13460
},
{
"epoch": 2.58,
"learning_rate": 4.20582374493797e-05,
"loss": 0.7123,
"step": 13480
},
{
"epoch": 2.59,
"learning_rate": 4.1672558976666444e-05,
"loss": 0.7032,
"step": 13500
},
{
"epoch": 2.59,
"learning_rate": 4.12868805039532e-05,
"loss": 0.6942,
"step": 13520
},
{
"epoch": 2.59,
"learning_rate": 4.090120203123995e-05,
"loss": 0.6981,
"step": 13540
},
{
"epoch": 2.6,
"learning_rate": 4.051552355852671e-05,
"loss": 0.7052,
"step": 13560
},
{
"epoch": 2.6,
"learning_rate": 4.012984508581345e-05,
"loss": 0.7044,
"step": 13580
},
{
"epoch": 2.61,
"learning_rate": 3.9744166613100206e-05,
"loss": 0.6978,
"step": 13600
},
{
"epoch": 2.61,
"eval_loss": 0.7352051734924316,
"eval_runtime": 25.5016,
"eval_samples_per_second": 78.426,
"eval_steps_per_second": 1.255,
"step": 13600
},
{
"epoch": 2.61,
"learning_rate": 3.9358488140386956e-05,
"loss": 0.7001,
"step": 13620
},
{
"epoch": 2.61,
"learning_rate": 3.897280966767371e-05,
"loss": 0.7065,
"step": 13640
},
{
"epoch": 2.62,
"learning_rate": 3.858713119496046e-05,
"loss": 0.6999,
"step": 13660
},
{
"epoch": 2.62,
"learning_rate": 3.820145272224722e-05,
"loss": 0.7104,
"step": 13680
},
{
"epoch": 2.63,
"learning_rate": 3.781577424953396e-05,
"loss": 0.7079,
"step": 13700
},
{
"epoch": 2.63,
"learning_rate": 3.743009577682072e-05,
"loss": 0.7059,
"step": 13720
},
{
"epoch": 2.63,
"learning_rate": 3.7063701227743136e-05,
"loss": 0.7088,
"step": 13740
},
{
"epoch": 2.64,
"learning_rate": 3.6678022755029886e-05,
"loss": 0.7051,
"step": 13760
},
{
"epoch": 2.64,
"learning_rate": 3.629234428231664e-05,
"loss": 0.7004,
"step": 13780
},
{
"epoch": 2.64,
"learning_rate": 3.590666580960339e-05,
"loss": 0.7,
"step": 13800
},
{
"epoch": 2.64,
"eval_loss": 0.7350977659225464,
"eval_runtime": 25.4618,
"eval_samples_per_second": 78.549,
"eval_steps_per_second": 1.257,
"step": 13800
},
{
"epoch": 2.65,
"learning_rate": 3.552098733689014e-05,
"loss": 0.7044,
"step": 13820
},
{
"epoch": 2.65,
"learning_rate": 3.51353088641769e-05,
"loss": 0.6967,
"step": 13840
},
{
"epoch": 2.66,
"learning_rate": 3.474963039146365e-05,
"loss": 0.6932,
"step": 13860
},
{
"epoch": 2.66,
"learning_rate": 3.43639519187504e-05,
"loss": 0.6982,
"step": 13880
},
{
"epoch": 2.66,
"learning_rate": 3.3978273446037154e-05,
"loss": 0.7064,
"step": 13900
},
{
"epoch": 2.67,
"learning_rate": 3.3592594973323904e-05,
"loss": 0.7064,
"step": 13920
},
{
"epoch": 2.67,
"learning_rate": 3.3206916500610654e-05,
"loss": 0.6975,
"step": 13940
},
{
"epoch": 2.67,
"learning_rate": 3.282123802789741e-05,
"loss": 0.7023,
"step": 13960
},
{
"epoch": 2.68,
"learning_rate": 3.243555955518416e-05,
"loss": 0.706,
"step": 13980
},
{
"epoch": 2.68,
"learning_rate": 3.204988108247091e-05,
"loss": 0.696,
"step": 14000
},
{
"epoch": 2.68,
"eval_loss": 0.7347920536994934,
"eval_runtime": 25.5132,
"eval_samples_per_second": 78.391,
"eval_steps_per_second": 1.254,
"step": 14000
},
{
"epoch": 2.69,
"learning_rate": 3.1664202609757666e-05,
"loss": 0.6995,
"step": 14020
},
{
"epoch": 2.69,
"learning_rate": 3.1278524137044416e-05,
"loss": 0.7022,
"step": 14040
},
{
"epoch": 2.69,
"learning_rate": 3.0892845664331166e-05,
"loss": 0.7086,
"step": 14060
},
{
"epoch": 2.7,
"learning_rate": 3.050716719161792e-05,
"loss": 0.7135,
"step": 14080
},
{
"epoch": 2.7,
"learning_rate": 3.0121488718904672e-05,
"loss": 0.7036,
"step": 14100
},
{
"epoch": 2.71,
"learning_rate": 2.9735810246191422e-05,
"loss": 0.6979,
"step": 14120
},
{
"epoch": 2.71,
"learning_rate": 2.9350131773478175e-05,
"loss": 0.7082,
"step": 14140
},
{
"epoch": 2.71,
"learning_rate": 2.8964453300764928e-05,
"loss": 0.7008,
"step": 14160
},
{
"epoch": 2.72,
"learning_rate": 2.8578774828051678e-05,
"loss": 0.7085,
"step": 14180
},
{
"epoch": 2.72,
"learning_rate": 2.819309635533843e-05,
"loss": 0.6983,
"step": 14200
},
{
"epoch": 2.72,
"eval_loss": 0.73465496301651,
"eval_runtime": 25.4933,
"eval_samples_per_second": 78.452,
"eval_steps_per_second": 1.255,
"step": 14200
},
{
"epoch": 2.72,
"learning_rate": 2.7807417882625184e-05,
"loss": 0.7123,
"step": 14220
},
{
"epoch": 2.73,
"learning_rate": 2.7421739409911934e-05,
"loss": 0.7027,
"step": 14240
},
{
"epoch": 2.73,
"learning_rate": 2.7036060937198687e-05,
"loss": 0.7124,
"step": 14260
},
{
"epoch": 2.74,
"learning_rate": 2.6650382464485437e-05,
"loss": 0.7102,
"step": 14280
},
{
"epoch": 2.74,
"learning_rate": 2.626470399177219e-05,
"loss": 0.7062,
"step": 14300
},
{
"epoch": 2.74,
"learning_rate": 2.5879025519058943e-05,
"loss": 0.7094,
"step": 14320
},
{
"epoch": 2.75,
"learning_rate": 2.5493347046345693e-05,
"loss": 0.7017,
"step": 14340
},
{
"epoch": 2.75,
"learning_rate": 2.5107668573632446e-05,
"loss": 0.7033,
"step": 14360
},
{
"epoch": 2.76,
"learning_rate": 2.47219901009192e-05,
"loss": 0.7036,
"step": 14380
},
{
"epoch": 2.76,
"learning_rate": 2.433631162820595e-05,
"loss": 0.7041,
"step": 14400
},
{
"epoch": 2.76,
"eval_loss": 0.7345843315124512,
"eval_runtime": 25.4933,
"eval_samples_per_second": 78.452,
"eval_steps_per_second": 1.255,
"step": 14400
},
{
"epoch": 2.76,
"learning_rate": 2.3950633155492702e-05,
"loss": 0.6983,
"step": 14420
},
{
"epoch": 2.77,
"learning_rate": 2.3564954682779455e-05,
"loss": 0.7006,
"step": 14440
},
{
"epoch": 2.77,
"learning_rate": 2.3179276210066205e-05,
"loss": 0.7047,
"step": 14460
},
{
"epoch": 2.77,
"learning_rate": 2.2793597737352958e-05,
"loss": 0.7036,
"step": 14480
},
{
"epoch": 2.78,
"learning_rate": 2.2407919264639708e-05,
"loss": 0.7025,
"step": 14500
},
{
"epoch": 2.78,
"learning_rate": 2.202224079192646e-05,
"loss": 0.699,
"step": 14520
},
{
"epoch": 2.79,
"learning_rate": 2.1636562319213214e-05,
"loss": 0.699,
"step": 14540
},
{
"epoch": 2.79,
"learning_rate": 2.1250883846499964e-05,
"loss": 0.6968,
"step": 14560
},
{
"epoch": 2.79,
"learning_rate": 2.0865205373786717e-05,
"loss": 0.697,
"step": 14580
},
{
"epoch": 2.8,
"learning_rate": 2.047952690107347e-05,
"loss": 0.6981,
"step": 14600
},
{
"epoch": 2.8,
"eval_loss": 0.7341080904006958,
"eval_runtime": 25.516,
"eval_samples_per_second": 78.382,
"eval_steps_per_second": 1.254,
"step": 14600
},
{
"epoch": 2.8,
"learning_rate": 2.009384842836022e-05,
"loss": 0.706,
"step": 14620
},
{
"epoch": 2.81,
"learning_rate": 1.9708169955646973e-05,
"loss": 0.6964,
"step": 14640
},
{
"epoch": 2.81,
"learning_rate": 1.9322491482933726e-05,
"loss": 0.7043,
"step": 14660
},
{
"epoch": 2.81,
"learning_rate": 1.8936813010220476e-05,
"loss": 0.7044,
"step": 14680
},
{
"epoch": 2.82,
"learning_rate": 1.855113453750723e-05,
"loss": 0.7079,
"step": 14700
},
{
"epoch": 2.82,
"learning_rate": 1.8165456064793982e-05,
"loss": 0.7096,
"step": 14720
},
{
"epoch": 2.82,
"learning_rate": 1.7779777592080735e-05,
"loss": 0.6977,
"step": 14740
},
{
"epoch": 2.83,
"learning_rate": 1.7394099119367485e-05,
"loss": 0.6997,
"step": 14760
},
{
"epoch": 2.83,
"learning_rate": 1.7008420646654238e-05,
"loss": 0.7033,
"step": 14780
},
{
"epoch": 2.84,
"learning_rate": 1.662274217394099e-05,
"loss": 0.7016,
"step": 14800
},
{
"epoch": 2.84,
"eval_loss": 0.7337221503257751,
"eval_runtime": 25.5058,
"eval_samples_per_second": 78.413,
"eval_steps_per_second": 1.255,
"step": 14800
},
{
"epoch": 2.84,
"learning_rate": 1.623706370122774e-05,
"loss": 0.6907,
"step": 14820
},
{
"epoch": 2.84,
"learning_rate": 1.5851385228514494e-05,
"loss": 0.7043,
"step": 14840
},
{
"epoch": 2.85,
"learning_rate": 1.5465706755801247e-05,
"loss": 0.7058,
"step": 14860
},
{
"epoch": 2.85,
"learning_rate": 1.5080028283087997e-05,
"loss": 0.6956,
"step": 14880
},
{
"epoch": 2.85,
"learning_rate": 1.469434981037475e-05,
"loss": 0.7109,
"step": 14900
},
{
"epoch": 2.86,
"learning_rate": 1.4308671337661502e-05,
"loss": 0.7055,
"step": 14920
},
{
"epoch": 2.86,
"learning_rate": 1.3922992864948253e-05,
"loss": 0.7011,
"step": 14940
},
{
"epoch": 2.87,
"learning_rate": 1.3537314392235005e-05,
"loss": 0.7009,
"step": 14960
},
{
"epoch": 2.87,
"learning_rate": 1.3151635919521758e-05,
"loss": 0.7069,
"step": 14980
},
{
"epoch": 2.87,
"learning_rate": 1.276595744680851e-05,
"loss": 0.7038,
"step": 15000
},
{
"epoch": 2.87,
"eval_loss": 0.7338148355484009,
"eval_runtime": 25.4764,
"eval_samples_per_second": 78.504,
"eval_steps_per_second": 1.256,
"step": 15000
},
{
"epoch": 2.88,
"learning_rate": 1.238027897409526e-05,
"loss": 0.706,
"step": 15020
},
{
"epoch": 2.88,
"learning_rate": 1.1994600501382012e-05,
"loss": 0.6918,
"step": 15040
},
{
"epoch": 2.89,
"learning_rate": 1.1608922028668765e-05,
"loss": 0.7045,
"step": 15060
},
{
"epoch": 2.89,
"learning_rate": 1.1223243555955517e-05,
"loss": 0.6984,
"step": 15080
},
{
"epoch": 2.89,
"learning_rate": 1.0837565083242268e-05,
"loss": 0.7126,
"step": 15100
},
{
"epoch": 2.9,
"learning_rate": 1.0451886610529021e-05,
"loss": 0.6974,
"step": 15120
},
{
"epoch": 2.9,
"learning_rate": 1.0066208137815773e-05,
"loss": 0.7063,
"step": 15140
},
{
"epoch": 2.9,
"learning_rate": 9.680529665102524e-06,
"loss": 0.697,
"step": 15160
},
{
"epoch": 2.91,
"learning_rate": 9.294851192389277e-06,
"loss": 0.6965,
"step": 15180
},
{
"epoch": 2.91,
"learning_rate": 8.909172719676029e-06,
"loss": 0.7001,
"step": 15200
},
{
"epoch": 2.91,
"eval_loss": 0.733613908290863,
"eval_runtime": 25.4875,
"eval_samples_per_second": 78.47,
"eval_steps_per_second": 1.256,
"step": 15200
},
{
"epoch": 2.92,
"learning_rate": 8.523494246962782e-06,
"loss": 0.6928,
"step": 15220
},
{
"epoch": 2.92,
"learning_rate": 8.137815774249533e-06,
"loss": 0.7047,
"step": 15240
},
{
"epoch": 2.92,
"learning_rate": 7.752137301536285e-06,
"loss": 0.6888,
"step": 15260
},
{
"epoch": 2.93,
"learning_rate": 7.366458828823037e-06,
"loss": 0.7133,
"step": 15280
},
{
"epoch": 2.93,
"learning_rate": 6.980780356109789e-06,
"loss": 0.7019,
"step": 15300
},
{
"epoch": 2.94,
"learning_rate": 6.595101883396541e-06,
"loss": 0.7017,
"step": 15320
},
{
"epoch": 2.94,
"learning_rate": 6.209423410683292e-06,
"loss": 0.7045,
"step": 15340
},
{
"epoch": 2.94,
"learning_rate": 5.823744937970045e-06,
"loss": 0.7017,
"step": 15360
},
{
"epoch": 2.95,
"learning_rate": 5.438066465256798e-06,
"loss": 0.699,
"step": 15380
},
{
"epoch": 2.95,
"learning_rate": 5.052387992543549e-06,
"loss": 0.691,
"step": 15400
},
{
"epoch": 2.95,
"eval_loss": 0.7335031032562256,
"eval_runtime": 25.5263,
"eval_samples_per_second": 78.351,
"eval_steps_per_second": 1.254,
"step": 15400
},
{
"epoch": 2.95,
"learning_rate": 4.666709519830301e-06,
"loss": 0.699,
"step": 15420
},
{
"epoch": 2.96,
"learning_rate": 4.281031047117053e-06,
"loss": 0.7009,
"step": 15440
},
{
"epoch": 2.96,
"learning_rate": 3.895352574403805e-06,
"loss": 0.6946,
"step": 15460
},
{
"epoch": 2.97,
"learning_rate": 3.509674101690557e-06,
"loss": 0.7027,
"step": 15480
},
{
"epoch": 2.97,
"learning_rate": 3.123995628977309e-06,
"loss": 0.6914,
"step": 15500
},
{
"epoch": 2.97,
"learning_rate": 2.738317156264061e-06,
"loss": 0.6969,
"step": 15520
},
{
"epoch": 2.98,
"learning_rate": 2.3526386835508128e-06,
"loss": 0.6994,
"step": 15540
},
{
"epoch": 2.98,
"learning_rate": 1.9669602108375647e-06,
"loss": 0.6961,
"step": 15560
},
{
"epoch": 2.99,
"learning_rate": 1.581281738124317e-06,
"loss": 0.6913,
"step": 15580
},
{
"epoch": 2.99,
"learning_rate": 1.1956032654110688e-06,
"loss": 0.6994,
"step": 15600
},
{
"epoch": 2.99,
"eval_loss": 0.7334907054901123,
"eval_runtime": 25.5112,
"eval_samples_per_second": 78.397,
"eval_steps_per_second": 1.254,
"step": 15600
}
],
"max_steps": 15657,
"num_train_epochs": 3,
"total_flos": 7.887669986989179e+19,
"trial_name": null,
"trial_params": null
}