vector-check / trainer_state.json
ardanila's picture
Upload 19 files
12b352f
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 32.142857142857146,
"global_step": 2700,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.12,
"learning_rate": 2.9999999999999997e-05,
"loss": 1.3126,
"step": 10
},
{
"epoch": 0.24,
"learning_rate": 5.9999999999999995e-05,
"loss": 1.3439,
"step": 20
},
{
"epoch": 0.36,
"learning_rate": 8.999999999999999e-05,
"loss": 1.3104,
"step": 30
},
{
"epoch": 0.48,
"learning_rate": 0.00011999999999999999,
"loss": 1.2288,
"step": 40
},
{
"epoch": 0.6,
"learning_rate": 0.00015,
"loss": 1.1731,
"step": 50
},
{
"epoch": 0.71,
"learning_rate": 0.00017999999999999998,
"loss": 1.1577,
"step": 60
},
{
"epoch": 0.83,
"learning_rate": 0.00020999999999999998,
"loss": 1.1174,
"step": 70
},
{
"epoch": 0.95,
"learning_rate": 0.00023999999999999998,
"loss": 1.0971,
"step": 80
},
{
"epoch": 1.07,
"learning_rate": 0.00027,
"loss": 1.0506,
"step": 90
},
{
"epoch": 1.19,
"learning_rate": 0.0003,
"loss": 1.0976,
"step": 100
},
{
"epoch": 1.31,
"learning_rate": 0.0002996385542168674,
"loss": 1.125,
"step": 110
},
{
"epoch": 1.43,
"learning_rate": 0.00029927710843373495,
"loss": 1.0538,
"step": 120
},
{
"epoch": 1.55,
"learning_rate": 0.0002989156626506024,
"loss": 1.1258,
"step": 130
},
{
"epoch": 1.67,
"learning_rate": 0.00029855421686746987,
"loss": 1.0822,
"step": 140
},
{
"epoch": 1.79,
"learning_rate": 0.00029819277108433735,
"loss": 1.1109,
"step": 150
},
{
"epoch": 1.9,
"learning_rate": 0.0002978313253012048,
"loss": 1.0948,
"step": 160
},
{
"epoch": 2.02,
"learning_rate": 0.00029746987951807227,
"loss": 1.0414,
"step": 170
},
{
"epoch": 2.14,
"learning_rate": 0.00029710843373493976,
"loss": 1.0601,
"step": 180
},
{
"epoch": 2.26,
"learning_rate": 0.0002967469879518072,
"loss": 1.0577,
"step": 190
},
{
"epoch": 2.38,
"learning_rate": 0.0002963855421686747,
"loss": 1.0807,
"step": 200
},
{
"epoch": 2.5,
"learning_rate": 0.00029602409638554216,
"loss": 1.1074,
"step": 210
},
{
"epoch": 2.62,
"learning_rate": 0.0002956626506024096,
"loss": 1.069,
"step": 220
},
{
"epoch": 2.74,
"learning_rate": 0.0002953012048192771,
"loss": 1.0588,
"step": 230
},
{
"epoch": 2.86,
"learning_rate": 0.00029493975903614457,
"loss": 1.1084,
"step": 240
},
{
"epoch": 2.98,
"learning_rate": 0.000294578313253012,
"loss": 1.0767,
"step": 250
},
{
"epoch": 3.1,
"learning_rate": 0.0002942168674698795,
"loss": 1.0462,
"step": 260
},
{
"epoch": 3.21,
"learning_rate": 0.000293855421686747,
"loss": 1.0666,
"step": 270
},
{
"epoch": 3.33,
"learning_rate": 0.0002934939759036144,
"loss": 1.0284,
"step": 280
},
{
"epoch": 3.45,
"learning_rate": 0.0002931325301204819,
"loss": 1.0777,
"step": 290
},
{
"epoch": 3.57,
"learning_rate": 0.0002927710843373494,
"loss": 1.0611,
"step": 300
},
{
"epoch": 3.69,
"learning_rate": 0.00029240963855421687,
"loss": 1.0645,
"step": 310
},
{
"epoch": 3.81,
"learning_rate": 0.0002920481927710843,
"loss": 1.0233,
"step": 320
},
{
"epoch": 3.93,
"learning_rate": 0.0002916867469879518,
"loss": 1.0475,
"step": 330
},
{
"epoch": 4.05,
"learning_rate": 0.00029132530120481927,
"loss": 1.0703,
"step": 340
},
{
"epoch": 4.17,
"learning_rate": 0.0002909638554216867,
"loss": 1.0487,
"step": 350
},
{
"epoch": 4.29,
"learning_rate": 0.0002906024096385542,
"loss": 1.0293,
"step": 360
},
{
"epoch": 4.4,
"learning_rate": 0.0002902409638554217,
"loss": 1.037,
"step": 370
},
{
"epoch": 4.52,
"learning_rate": 0.0002898795180722891,
"loss": 1.0678,
"step": 380
},
{
"epoch": 4.64,
"learning_rate": 0.0002895180722891566,
"loss": 1.0603,
"step": 390
},
{
"epoch": 4.76,
"learning_rate": 0.0002891566265060241,
"loss": 1.0428,
"step": 400
},
{
"epoch": 4.88,
"learning_rate": 0.0002887951807228915,
"loss": 1.035,
"step": 410
},
{
"epoch": 5.0,
"learning_rate": 0.000288433734939759,
"loss": 1.0401,
"step": 420
},
{
"epoch": 5.12,
"learning_rate": 0.0002880722891566265,
"loss": 1.0475,
"step": 430
},
{
"epoch": 5.24,
"learning_rate": 0.0002877108433734939,
"loss": 1.0064,
"step": 440
},
{
"epoch": 5.36,
"learning_rate": 0.0002873493975903614,
"loss": 1.0432,
"step": 450
},
{
"epoch": 5.48,
"learning_rate": 0.0002869879518072289,
"loss": 1.0251,
"step": 460
},
{
"epoch": 5.6,
"learning_rate": 0.0002866265060240963,
"loss": 1.0731,
"step": 470
},
{
"epoch": 5.71,
"learning_rate": 0.0002862650602409638,
"loss": 1.0108,
"step": 480
},
{
"epoch": 5.83,
"learning_rate": 0.0002859036144578313,
"loss": 1.0032,
"step": 490
},
{
"epoch": 5.95,
"learning_rate": 0.00028554216867469873,
"loss": 1.0084,
"step": 500
},
{
"epoch": 6.07,
"learning_rate": 0.00028518072289156627,
"loss": 1.011,
"step": 510
},
{
"epoch": 6.19,
"learning_rate": 0.0002848192771084337,
"loss": 1.0214,
"step": 520
},
{
"epoch": 6.31,
"learning_rate": 0.0002844578313253012,
"loss": 1.0117,
"step": 530
},
{
"epoch": 6.43,
"learning_rate": 0.0002840963855421687,
"loss": 1.0065,
"step": 540
},
{
"epoch": 6.55,
"learning_rate": 0.0002837349397590361,
"loss": 1.0052,
"step": 550
},
{
"epoch": 6.67,
"learning_rate": 0.0002833734939759036,
"loss": 1.0286,
"step": 560
},
{
"epoch": 6.79,
"learning_rate": 0.0002830120481927711,
"loss": 0.9932,
"step": 570
},
{
"epoch": 6.9,
"learning_rate": 0.0002826506024096385,
"loss": 1.0117,
"step": 580
},
{
"epoch": 7.02,
"learning_rate": 0.000282289156626506,
"loss": 0.9999,
"step": 590
},
{
"epoch": 7.14,
"learning_rate": 0.0002819277108433735,
"loss": 0.992,
"step": 600
},
{
"epoch": 7.26,
"learning_rate": 0.0002815662650602409,
"loss": 1.0053,
"step": 610
},
{
"epoch": 7.38,
"learning_rate": 0.0002812048192771084,
"loss": 0.9967,
"step": 620
},
{
"epoch": 7.5,
"learning_rate": 0.0002808433734939759,
"loss": 0.9603,
"step": 630
},
{
"epoch": 7.62,
"learning_rate": 0.0002804819277108433,
"loss": 0.9778,
"step": 640
},
{
"epoch": 7.74,
"learning_rate": 0.0002801204819277108,
"loss": 1.0112,
"step": 650
},
{
"epoch": 7.86,
"learning_rate": 0.0002797590361445783,
"loss": 0.9785,
"step": 660
},
{
"epoch": 7.98,
"learning_rate": 0.00027939759036144573,
"loss": 0.9976,
"step": 670
},
{
"epoch": 8.1,
"learning_rate": 0.0002790361445783132,
"loss": 0.9728,
"step": 680
},
{
"epoch": 8.21,
"learning_rate": 0.0002786746987951807,
"loss": 0.9541,
"step": 690
},
{
"epoch": 8.33,
"learning_rate": 0.0002783132530120482,
"loss": 0.9576,
"step": 700
},
{
"epoch": 8.45,
"learning_rate": 0.0002779518072289156,
"loss": 0.9821,
"step": 710
},
{
"epoch": 8.57,
"learning_rate": 0.0002775903614457831,
"loss": 0.9833,
"step": 720
},
{
"epoch": 8.69,
"learning_rate": 0.0002772289156626506,
"loss": 0.9733,
"step": 730
},
{
"epoch": 8.81,
"learning_rate": 0.00027686746987951803,
"loss": 0.9662,
"step": 740
},
{
"epoch": 8.93,
"learning_rate": 0.0002765060240963855,
"loss": 0.9954,
"step": 750
},
{
"epoch": 9.05,
"learning_rate": 0.000276144578313253,
"loss": 0.9656,
"step": 760
},
{
"epoch": 9.17,
"learning_rate": 0.00027578313253012044,
"loss": 0.9462,
"step": 770
},
{
"epoch": 9.29,
"learning_rate": 0.0002754216867469879,
"loss": 0.8893,
"step": 780
},
{
"epoch": 9.4,
"learning_rate": 0.0002750602409638554,
"loss": 0.967,
"step": 790
},
{
"epoch": 9.52,
"learning_rate": 0.00027469879518072284,
"loss": 0.8942,
"step": 800
},
{
"epoch": 9.64,
"learning_rate": 0.00027433734939759033,
"loss": 0.9385,
"step": 810
},
{
"epoch": 9.76,
"learning_rate": 0.0002739759036144578,
"loss": 0.9863,
"step": 820
},
{
"epoch": 9.88,
"learning_rate": 0.00027361445783132525,
"loss": 0.945,
"step": 830
},
{
"epoch": 10.0,
"learning_rate": 0.00027325301204819273,
"loss": 0.9697,
"step": 840
},
{
"epoch": 10.12,
"learning_rate": 0.0002728915662650602,
"loss": 0.9053,
"step": 850
},
{
"epoch": 10.24,
"learning_rate": 0.00027253012048192765,
"loss": 0.916,
"step": 860
},
{
"epoch": 10.36,
"learning_rate": 0.00027216867469879514,
"loss": 0.9316,
"step": 870
},
{
"epoch": 10.48,
"learning_rate": 0.0002718072289156626,
"loss": 0.9116,
"step": 880
},
{
"epoch": 10.6,
"learning_rate": 0.00027144578313253006,
"loss": 0.8975,
"step": 890
},
{
"epoch": 10.71,
"learning_rate": 0.0002710843373493976,
"loss": 0.9206,
"step": 900
},
{
"epoch": 10.83,
"learning_rate": 0.00027072289156626503,
"loss": 0.9543,
"step": 910
},
{
"epoch": 10.95,
"learning_rate": 0.0002703614457831325,
"loss": 0.8909,
"step": 920
},
{
"epoch": 11.07,
"learning_rate": 0.00027,
"loss": 0.8982,
"step": 930
},
{
"epoch": 11.19,
"learning_rate": 0.00026963855421686744,
"loss": 0.9051,
"step": 940
},
{
"epoch": 11.31,
"learning_rate": 0.0002692771084337349,
"loss": 0.8927,
"step": 950
},
{
"epoch": 11.43,
"learning_rate": 0.0002689156626506024,
"loss": 0.8364,
"step": 960
},
{
"epoch": 11.55,
"learning_rate": 0.00026855421686746984,
"loss": 0.9083,
"step": 970
},
{
"epoch": 11.67,
"learning_rate": 0.00026819277108433733,
"loss": 0.9085,
"step": 980
},
{
"epoch": 11.79,
"learning_rate": 0.0002678313253012048,
"loss": 0.8402,
"step": 990
},
{
"epoch": 11.9,
"learning_rate": 0.00026746987951807225,
"loss": 0.8964,
"step": 1000
},
{
"epoch": 12.02,
"learning_rate": 0.00026710843373493973,
"loss": 0.8608,
"step": 1010
},
{
"epoch": 12.14,
"learning_rate": 0.0002667469879518072,
"loss": 0.8442,
"step": 1020
},
{
"epoch": 12.26,
"learning_rate": 0.00026638554216867465,
"loss": 0.8686,
"step": 1030
},
{
"epoch": 12.38,
"learning_rate": 0.00026602409638554214,
"loss": 0.8222,
"step": 1040
},
{
"epoch": 12.5,
"learning_rate": 0.0002656626506024096,
"loss": 0.8634,
"step": 1050
},
{
"epoch": 12.62,
"learning_rate": 0.00026530120481927706,
"loss": 0.8106,
"step": 1060
},
{
"epoch": 12.74,
"learning_rate": 0.00026493975903614454,
"loss": 0.8377,
"step": 1070
},
{
"epoch": 12.86,
"learning_rate": 0.00026457831325301203,
"loss": 0.8477,
"step": 1080
},
{
"epoch": 12.98,
"learning_rate": 0.00026421686746987946,
"loss": 0.8738,
"step": 1090
},
{
"epoch": 13.1,
"learning_rate": 0.00026385542168674695,
"loss": 0.8378,
"step": 1100
},
{
"epoch": 13.21,
"learning_rate": 0.00026349397590361444,
"loss": 0.7851,
"step": 1110
},
{
"epoch": 13.33,
"learning_rate": 0.0002631325301204819,
"loss": 0.8583,
"step": 1120
},
{
"epoch": 13.45,
"learning_rate": 0.00026277108433734936,
"loss": 0.7784,
"step": 1130
},
{
"epoch": 13.57,
"learning_rate": 0.00026240963855421684,
"loss": 0.8323,
"step": 1140
},
{
"epoch": 13.69,
"learning_rate": 0.00026204819277108433,
"loss": 0.7988,
"step": 1150
},
{
"epoch": 13.81,
"learning_rate": 0.0002616867469879518,
"loss": 0.7671,
"step": 1160
},
{
"epoch": 13.93,
"learning_rate": 0.00026132530120481925,
"loss": 0.8336,
"step": 1170
},
{
"epoch": 14.05,
"learning_rate": 0.00026096385542168673,
"loss": 0.7438,
"step": 1180
},
{
"epoch": 14.17,
"learning_rate": 0.0002606024096385542,
"loss": 0.7234,
"step": 1190
},
{
"epoch": 14.29,
"learning_rate": 0.00026024096385542165,
"loss": 0.7257,
"step": 1200
},
{
"epoch": 14.4,
"learning_rate": 0.00025987951807228914,
"loss": 0.7833,
"step": 1210
},
{
"epoch": 14.52,
"learning_rate": 0.0002595180722891566,
"loss": 0.77,
"step": 1220
},
{
"epoch": 14.64,
"learning_rate": 0.00025915662650602406,
"loss": 0.7756,
"step": 1230
},
{
"epoch": 14.76,
"learning_rate": 0.00025879518072289154,
"loss": 0.7867,
"step": 1240
},
{
"epoch": 14.88,
"learning_rate": 0.00025843373493975903,
"loss": 0.7665,
"step": 1250
},
{
"epoch": 15.0,
"learning_rate": 0.00025807228915662646,
"loss": 0.7284,
"step": 1260
},
{
"epoch": 15.12,
"learning_rate": 0.00025771084337349395,
"loss": 0.6533,
"step": 1270
},
{
"epoch": 15.24,
"learning_rate": 0.00025734939759036144,
"loss": 0.712,
"step": 1280
},
{
"epoch": 15.36,
"learning_rate": 0.0002569879518072289,
"loss": 0.7408,
"step": 1290
},
{
"epoch": 15.48,
"learning_rate": 0.00025662650602409636,
"loss": 0.6888,
"step": 1300
},
{
"epoch": 15.6,
"learning_rate": 0.00025626506024096384,
"loss": 0.7257,
"step": 1310
},
{
"epoch": 15.71,
"learning_rate": 0.00025590361445783133,
"loss": 0.687,
"step": 1320
},
{
"epoch": 15.83,
"learning_rate": 0.00025554216867469876,
"loss": 0.7182,
"step": 1330
},
{
"epoch": 15.95,
"learning_rate": 0.00025518072289156625,
"loss": 0.7337,
"step": 1340
},
{
"epoch": 16.07,
"learning_rate": 0.00025481927710843373,
"loss": 0.6581,
"step": 1350
},
{
"epoch": 16.19,
"learning_rate": 0.00025445783132530117,
"loss": 0.6839,
"step": 1360
},
{
"epoch": 16.31,
"learning_rate": 0.00025409638554216865,
"loss": 0.6336,
"step": 1370
},
{
"epoch": 16.43,
"learning_rate": 0.00025373493975903614,
"loss": 0.6679,
"step": 1380
},
{
"epoch": 16.55,
"learning_rate": 0.00025337349397590357,
"loss": 0.632,
"step": 1390
},
{
"epoch": 16.67,
"learning_rate": 0.00025301204819277106,
"loss": 0.6286,
"step": 1400
},
{
"epoch": 16.79,
"learning_rate": 0.00025265060240963855,
"loss": 0.7263,
"step": 1410
},
{
"epoch": 16.9,
"learning_rate": 0.000252289156626506,
"loss": 0.6465,
"step": 1420
},
{
"epoch": 17.02,
"learning_rate": 0.00025192771084337346,
"loss": 0.617,
"step": 1430
},
{
"epoch": 17.14,
"learning_rate": 0.00025156626506024095,
"loss": 0.599,
"step": 1440
},
{
"epoch": 17.26,
"learning_rate": 0.0002512048192771084,
"loss": 0.6203,
"step": 1450
},
{
"epoch": 17.38,
"learning_rate": 0.00025084337349397587,
"loss": 0.5545,
"step": 1460
},
{
"epoch": 17.5,
"learning_rate": 0.00025048192771084336,
"loss": 0.6239,
"step": 1470
},
{
"epoch": 17.62,
"learning_rate": 0.0002501204819277108,
"loss": 0.5739,
"step": 1480
},
{
"epoch": 17.74,
"learning_rate": 0.00024975903614457833,
"loss": 0.6289,
"step": 1490
},
{
"epoch": 17.86,
"learning_rate": 0.00024939759036144576,
"loss": 0.5728,
"step": 1500
},
{
"epoch": 17.98,
"learning_rate": 0.00024903614457831325,
"loss": 0.6469,
"step": 1510
},
{
"epoch": 18.1,
"learning_rate": 0.00024867469879518074,
"loss": 0.5318,
"step": 1520
},
{
"epoch": 18.21,
"learning_rate": 0.00024831325301204817,
"loss": 0.4846,
"step": 1530
},
{
"epoch": 18.33,
"learning_rate": 0.00024795180722891565,
"loss": 0.5352,
"step": 1540
},
{
"epoch": 18.45,
"learning_rate": 0.00024759036144578314,
"loss": 0.5341,
"step": 1550
},
{
"epoch": 18.57,
"learning_rate": 0.0002472289156626506,
"loss": 0.57,
"step": 1560
},
{
"epoch": 18.69,
"learning_rate": 0.00024686746987951806,
"loss": 0.5228,
"step": 1570
},
{
"epoch": 18.81,
"learning_rate": 0.00024650602409638555,
"loss": 0.5857,
"step": 1580
},
{
"epoch": 18.93,
"learning_rate": 0.000246144578313253,
"loss": 0.5219,
"step": 1590
},
{
"epoch": 19.05,
"learning_rate": 0.00024578313253012046,
"loss": 0.5233,
"step": 1600
},
{
"epoch": 19.17,
"learning_rate": 0.00024542168674698795,
"loss": 0.4589,
"step": 1610
},
{
"epoch": 19.29,
"learning_rate": 0.0002450602409638554,
"loss": 0.5354,
"step": 1620
},
{
"epoch": 19.4,
"learning_rate": 0.00024469879518072287,
"loss": 0.4662,
"step": 1630
},
{
"epoch": 19.52,
"learning_rate": 0.00024433734939759036,
"loss": 0.465,
"step": 1640
},
{
"epoch": 19.64,
"learning_rate": 0.00024397590361445782,
"loss": 0.4602,
"step": 1650
},
{
"epoch": 19.76,
"learning_rate": 0.00024361445783132528,
"loss": 0.4851,
"step": 1660
},
{
"epoch": 19.88,
"learning_rate": 0.00024325301204819276,
"loss": 0.495,
"step": 1670
},
{
"epoch": 20.0,
"learning_rate": 0.00024289156626506022,
"loss": 0.4556,
"step": 1680
},
{
"epoch": 20.12,
"learning_rate": 0.00024253012048192768,
"loss": 0.3657,
"step": 1690
},
{
"epoch": 20.24,
"learning_rate": 0.00024216867469879517,
"loss": 0.4285,
"step": 1700
},
{
"epoch": 20.36,
"learning_rate": 0.00024180722891566263,
"loss": 0.3793,
"step": 1710
},
{
"epoch": 20.48,
"learning_rate": 0.0002414457831325301,
"loss": 0.4846,
"step": 1720
},
{
"epoch": 20.6,
"learning_rate": 0.00024108433734939757,
"loss": 0.4543,
"step": 1730
},
{
"epoch": 20.71,
"learning_rate": 0.00024072289156626503,
"loss": 0.4694,
"step": 1740
},
{
"epoch": 20.83,
"learning_rate": 0.0002403614457831325,
"loss": 0.3779,
"step": 1750
},
{
"epoch": 20.95,
"learning_rate": 0.00023999999999999998,
"loss": 0.431,
"step": 1760
},
{
"epoch": 21.07,
"learning_rate": 0.00023963855421686744,
"loss": 0.367,
"step": 1770
},
{
"epoch": 21.19,
"learning_rate": 0.0002392771084337349,
"loss": 0.4387,
"step": 1780
},
{
"epoch": 21.31,
"learning_rate": 0.0002389156626506024,
"loss": 0.3326,
"step": 1790
},
{
"epoch": 21.43,
"learning_rate": 0.00023855421686746987,
"loss": 0.3899,
"step": 1800
},
{
"epoch": 21.55,
"learning_rate": 0.00023819277108433733,
"loss": 0.3869,
"step": 1810
},
{
"epoch": 21.67,
"learning_rate": 0.00023783132530120482,
"loss": 0.3685,
"step": 1820
},
{
"epoch": 21.79,
"learning_rate": 0.00023746987951807228,
"loss": 0.3711,
"step": 1830
},
{
"epoch": 21.9,
"learning_rate": 0.00023710843373493974,
"loss": 0.3748,
"step": 1840
},
{
"epoch": 22.02,
"learning_rate": 0.00023674698795180722,
"loss": 0.3345,
"step": 1850
},
{
"epoch": 22.14,
"learning_rate": 0.00023638554216867468,
"loss": 0.3128,
"step": 1860
},
{
"epoch": 22.26,
"learning_rate": 0.00023602409638554214,
"loss": 0.348,
"step": 1870
},
{
"epoch": 22.38,
"learning_rate": 0.00023566265060240963,
"loss": 0.3506,
"step": 1880
},
{
"epoch": 22.5,
"learning_rate": 0.0002353012048192771,
"loss": 0.289,
"step": 1890
},
{
"epoch": 22.62,
"learning_rate": 0.00023493975903614455,
"loss": 0.3008,
"step": 1900
},
{
"epoch": 22.74,
"learning_rate": 0.00023457831325301203,
"loss": 0.3372,
"step": 1910
},
{
"epoch": 22.86,
"learning_rate": 0.0002342168674698795,
"loss": 0.3642,
"step": 1920
},
{
"epoch": 22.98,
"learning_rate": 0.00023385542168674695,
"loss": 0.3117,
"step": 1930
},
{
"epoch": 23.1,
"learning_rate": 0.00023349397590361444,
"loss": 0.3003,
"step": 1940
},
{
"epoch": 23.21,
"learning_rate": 0.0002331325301204819,
"loss": 0.2342,
"step": 1950
},
{
"epoch": 23.33,
"learning_rate": 0.00023277108433734936,
"loss": 0.3119,
"step": 1960
},
{
"epoch": 23.45,
"learning_rate": 0.00023240963855421687,
"loss": 0.2618,
"step": 1970
},
{
"epoch": 23.57,
"learning_rate": 0.00023204819277108433,
"loss": 0.3138,
"step": 1980
},
{
"epoch": 23.69,
"learning_rate": 0.00023168674698795176,
"loss": 0.2934,
"step": 1990
},
{
"epoch": 23.81,
"learning_rate": 0.00023132530120481928,
"loss": 0.2713,
"step": 2000
},
{
"epoch": 23.93,
"learning_rate": 0.00023096385542168674,
"loss": 0.3095,
"step": 2010
},
{
"epoch": 24.05,
"learning_rate": 0.0002306024096385542,
"loss": 0.2688,
"step": 2020
},
{
"epoch": 24.17,
"learning_rate": 0.00023024096385542168,
"loss": 0.2309,
"step": 2030
},
{
"epoch": 24.29,
"learning_rate": 0.00022987951807228914,
"loss": 0.2614,
"step": 2040
},
{
"epoch": 24.4,
"learning_rate": 0.0002295180722891566,
"loss": 0.2264,
"step": 2050
},
{
"epoch": 24.52,
"learning_rate": 0.0002291566265060241,
"loss": 0.2506,
"step": 2060
},
{
"epoch": 24.64,
"learning_rate": 0.00022879518072289155,
"loss": 0.2241,
"step": 2070
},
{
"epoch": 24.76,
"learning_rate": 0.000228433734939759,
"loss": 0.2882,
"step": 2080
},
{
"epoch": 24.88,
"learning_rate": 0.0002280722891566265,
"loss": 0.2868,
"step": 2090
},
{
"epoch": 25.0,
"learning_rate": 0.00022771084337349395,
"loss": 0.284,
"step": 2100
},
{
"epoch": 25.12,
"learning_rate": 0.0002273493975903614,
"loss": 0.2088,
"step": 2110
},
{
"epoch": 25.24,
"learning_rate": 0.0002269879518072289,
"loss": 0.1954,
"step": 2120
},
{
"epoch": 25.36,
"learning_rate": 0.00022662650602409636,
"loss": 0.2121,
"step": 2130
},
{
"epoch": 25.48,
"learning_rate": 0.00022626506024096382,
"loss": 0.2345,
"step": 2140
},
{
"epoch": 25.6,
"learning_rate": 0.0002259036144578313,
"loss": 0.221,
"step": 2150
},
{
"epoch": 25.71,
"learning_rate": 0.00022554216867469876,
"loss": 0.2258,
"step": 2160
},
{
"epoch": 25.83,
"learning_rate": 0.00022518072289156622,
"loss": 0.2467,
"step": 2170
},
{
"epoch": 25.95,
"learning_rate": 0.00022481927710843374,
"loss": 0.2216,
"step": 2180
},
{
"epoch": 26.07,
"learning_rate": 0.0002244578313253012,
"loss": 0.2106,
"step": 2190
},
{
"epoch": 26.19,
"learning_rate": 0.00022409638554216866,
"loss": 0.2242,
"step": 2200
},
{
"epoch": 26.31,
"learning_rate": 0.00022373493975903614,
"loss": 0.1702,
"step": 2210
},
{
"epoch": 26.43,
"learning_rate": 0.0002233734939759036,
"loss": 0.2117,
"step": 2220
},
{
"epoch": 26.55,
"learning_rate": 0.00022301204819277106,
"loss": 0.1841,
"step": 2230
},
{
"epoch": 26.67,
"learning_rate": 0.00022265060240963855,
"loss": 0.1786,
"step": 2240
},
{
"epoch": 26.79,
"learning_rate": 0.000222289156626506,
"loss": 0.201,
"step": 2250
},
{
"epoch": 26.9,
"learning_rate": 0.00022192771084337347,
"loss": 0.1915,
"step": 2260
},
{
"epoch": 27.02,
"learning_rate": 0.00022156626506024095,
"loss": 0.1973,
"step": 2270
},
{
"epoch": 27.14,
"learning_rate": 0.0002212048192771084,
"loss": 0.1649,
"step": 2280
},
{
"epoch": 27.26,
"learning_rate": 0.00022084337349397587,
"loss": 0.1665,
"step": 2290
},
{
"epoch": 27.38,
"learning_rate": 0.00022048192771084336,
"loss": 0.2129,
"step": 2300
},
{
"epoch": 27.5,
"learning_rate": 0.00022012048192771082,
"loss": 0.194,
"step": 2310
},
{
"epoch": 27.62,
"learning_rate": 0.00021975903614457828,
"loss": 0.1684,
"step": 2320
},
{
"epoch": 27.74,
"learning_rate": 0.00021939759036144576,
"loss": 0.1312,
"step": 2330
},
{
"epoch": 27.86,
"learning_rate": 0.00021903614457831322,
"loss": 0.1711,
"step": 2340
},
{
"epoch": 27.98,
"learning_rate": 0.00021867469879518068,
"loss": 0.1863,
"step": 2350
},
{
"epoch": 28.1,
"learning_rate": 0.0002183132530120482,
"loss": 0.1425,
"step": 2360
},
{
"epoch": 28.21,
"learning_rate": 0.00021795180722891563,
"loss": 0.1293,
"step": 2370
},
{
"epoch": 28.33,
"learning_rate": 0.0002175903614457831,
"loss": 0.1406,
"step": 2380
},
{
"epoch": 28.45,
"learning_rate": 0.0002172289156626506,
"loss": 0.1583,
"step": 2390
},
{
"epoch": 28.57,
"learning_rate": 0.00021686746987951806,
"loss": 0.1706,
"step": 2400
},
{
"epoch": 28.69,
"learning_rate": 0.00021650602409638552,
"loss": 0.1629,
"step": 2410
},
{
"epoch": 28.81,
"learning_rate": 0.000216144578313253,
"loss": 0.1788,
"step": 2420
},
{
"epoch": 28.93,
"learning_rate": 0.00021578313253012047,
"loss": 0.1618,
"step": 2430
},
{
"epoch": 29.05,
"learning_rate": 0.00021542168674698793,
"loss": 0.1391,
"step": 2440
},
{
"epoch": 29.17,
"learning_rate": 0.00021506024096385541,
"loss": 0.1271,
"step": 2450
},
{
"epoch": 29.29,
"learning_rate": 0.00021469879518072287,
"loss": 0.1312,
"step": 2460
},
{
"epoch": 29.4,
"learning_rate": 0.00021433734939759033,
"loss": 0.1401,
"step": 2470
},
{
"epoch": 29.52,
"learning_rate": 0.00021397590361445782,
"loss": 0.1222,
"step": 2480
},
{
"epoch": 29.64,
"learning_rate": 0.00021361445783132528,
"loss": 0.1124,
"step": 2490
},
{
"epoch": 29.76,
"learning_rate": 0.00021325301204819274,
"loss": 0.1796,
"step": 2500
},
{
"epoch": 29.88,
"learning_rate": 0.00021289156626506022,
"loss": 0.1502,
"step": 2510
},
{
"epoch": 30.0,
"learning_rate": 0.00021253012048192768,
"loss": 0.137,
"step": 2520
},
{
"epoch": 30.12,
"learning_rate": 0.00021216867469879514,
"loss": 0.1021,
"step": 2530
},
{
"epoch": 30.24,
"learning_rate": 0.00021180722891566263,
"loss": 0.129,
"step": 2540
},
{
"epoch": 30.36,
"learning_rate": 0.0002114457831325301,
"loss": 0.1119,
"step": 2550
},
{
"epoch": 30.48,
"learning_rate": 2.3802395209580838e-05,
"loss": 0.1135,
"step": 2560
},
{
"epoch": 30.6,
"learning_rate": 2.2679640718562872e-05,
"loss": 0.1224,
"step": 2570
},
{
"epoch": 30.71,
"learning_rate": 2.1556886227544907e-05,
"loss": 0.1004,
"step": 2580
},
{
"epoch": 30.83,
"learning_rate": 2.043413173652694e-05,
"loss": 0.1048,
"step": 2590
},
{
"epoch": 30.95,
"learning_rate": 1.931137724550898e-05,
"loss": 0.0978,
"step": 2600
},
{
"epoch": 31.07,
"learning_rate": 1.8188622754491017e-05,
"loss": 0.0981,
"step": 2610
},
{
"epoch": 31.19,
"learning_rate": 1.7065868263473052e-05,
"loss": 0.0979,
"step": 2620
},
{
"epoch": 31.31,
"learning_rate": 1.594311377245509e-05,
"loss": 0.103,
"step": 2630
},
{
"epoch": 31.43,
"learning_rate": 1.4820359281437124e-05,
"loss": 0.1065,
"step": 2640
},
{
"epoch": 31.55,
"learning_rate": 1.369760479041916e-05,
"loss": 0.0912,
"step": 2650
},
{
"epoch": 31.67,
"learning_rate": 1.2574850299401195e-05,
"loss": 0.0927,
"step": 2660
},
{
"epoch": 31.79,
"learning_rate": 1.1452095808383233e-05,
"loss": 0.0942,
"step": 2670
},
{
"epoch": 31.9,
"learning_rate": 1.032934131736527e-05,
"loss": 0.0896,
"step": 2680
},
{
"epoch": 32.02,
"learning_rate": 9.206586826347304e-06,
"loss": 0.0965,
"step": 2690
},
{
"epoch": 32.14,
"learning_rate": 8.08383233532934e-06,
"loss": 0.0943,
"step": 2700
}
],
"max_steps": 2772,
"num_train_epochs": 33,
"total_flos": 1.5684921338658816e+18,
"trial_name": null,
"trial_params": null
}