ryusangwon's picture
End of training
2ba3ffe verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.8670649738610905,
"eval_steps": 500,
"global_step": 2500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.98755290017426e-05,
"loss": 1.7894,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 4.975105800348519e-05,
"loss": 1.7876,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 4.962658700522779e-05,
"loss": 1.7883,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 4.9502116006970375e-05,
"loss": 1.7558,
"step": 40
},
{
"epoch": 0.04,
"learning_rate": 4.937764500871298e-05,
"loss": 1.6777,
"step": 50
},
{
"epoch": 0.04,
"learning_rate": 4.9253174010455565e-05,
"loss": 1.7082,
"step": 60
},
{
"epoch": 0.05,
"learning_rate": 4.912870301219816e-05,
"loss": 1.6947,
"step": 70
},
{
"epoch": 0.06,
"learning_rate": 4.9004232013940755e-05,
"loss": 1.7132,
"step": 80
},
{
"epoch": 0.07,
"learning_rate": 4.887976101568335e-05,
"loss": 1.7,
"step": 90
},
{
"epoch": 0.07,
"learning_rate": 4.8755290017425944e-05,
"loss": 1.7245,
"step": 100
},
{
"epoch": 0.08,
"learning_rate": 4.863081901916854e-05,
"loss": 1.7187,
"step": 110
},
{
"epoch": 0.09,
"learning_rate": 4.850634802091113e-05,
"loss": 1.7206,
"step": 120
},
{
"epoch": 0.1,
"learning_rate": 4.838187702265373e-05,
"loss": 1.7352,
"step": 130
},
{
"epoch": 0.1,
"learning_rate": 4.825740602439632e-05,
"loss": 1.7019,
"step": 140
},
{
"epoch": 0.11,
"learning_rate": 4.813293502613891e-05,
"loss": 1.6659,
"step": 150
},
{
"epoch": 0.12,
"learning_rate": 4.800846402788151e-05,
"loss": 1.6848,
"step": 160
},
{
"epoch": 0.13,
"learning_rate": 4.78839930296241e-05,
"loss": 1.6744,
"step": 170
},
{
"epoch": 0.13,
"learning_rate": 4.7759522031366697e-05,
"loss": 1.6882,
"step": 180
},
{
"epoch": 0.14,
"learning_rate": 4.763505103310929e-05,
"loss": 1.6568,
"step": 190
},
{
"epoch": 0.15,
"learning_rate": 4.751058003485188e-05,
"loss": 1.7134,
"step": 200
},
{
"epoch": 0.16,
"learning_rate": 4.738610903659448e-05,
"loss": 1.7098,
"step": 210
},
{
"epoch": 0.16,
"learning_rate": 4.726163803833707e-05,
"loss": 1.728,
"step": 220
},
{
"epoch": 0.17,
"learning_rate": 4.7137167040079664e-05,
"loss": 1.7038,
"step": 230
},
{
"epoch": 0.18,
"learning_rate": 4.701269604182226e-05,
"loss": 1.6916,
"step": 240
},
{
"epoch": 0.19,
"learning_rate": 4.6888225043564854e-05,
"loss": 1.6822,
"step": 250
},
{
"epoch": 0.19,
"learning_rate": 4.676375404530744e-05,
"loss": 1.7251,
"step": 260
},
{
"epoch": 0.2,
"learning_rate": 4.6639283047050044e-05,
"loss": 1.6765,
"step": 270
},
{
"epoch": 0.21,
"learning_rate": 4.651481204879263e-05,
"loss": 1.6797,
"step": 280
},
{
"epoch": 0.22,
"learning_rate": 4.6390341050535227e-05,
"loss": 1.73,
"step": 290
},
{
"epoch": 0.22,
"learning_rate": 4.626587005227782e-05,
"loss": 1.7466,
"step": 300
},
{
"epoch": 0.23,
"learning_rate": 4.6141399054020416e-05,
"loss": 1.6342,
"step": 310
},
{
"epoch": 0.24,
"learning_rate": 4.601692805576301e-05,
"loss": 1.6758,
"step": 320
},
{
"epoch": 0.25,
"learning_rate": 4.5892457057505606e-05,
"loss": 1.66,
"step": 330
},
{
"epoch": 0.25,
"learning_rate": 4.5767986059248194e-05,
"loss": 1.6635,
"step": 340
},
{
"epoch": 0.26,
"learning_rate": 4.5643515060990796e-05,
"loss": 1.6951,
"step": 350
},
{
"epoch": 0.27,
"learning_rate": 4.5519044062733384e-05,
"loss": 1.6829,
"step": 360
},
{
"epoch": 0.28,
"learning_rate": 4.539457306447598e-05,
"loss": 1.6572,
"step": 370
},
{
"epoch": 0.28,
"learning_rate": 4.5270102066218574e-05,
"loss": 1.6471,
"step": 380
},
{
"epoch": 0.29,
"learning_rate": 4.514563106796117e-05,
"loss": 1.6854,
"step": 390
},
{
"epoch": 0.3,
"learning_rate": 4.502116006970376e-05,
"loss": 1.6737,
"step": 400
},
{
"epoch": 0.31,
"learning_rate": 4.489668907144636e-05,
"loss": 1.6935,
"step": 410
},
{
"epoch": 0.31,
"learning_rate": 4.4772218073188946e-05,
"loss": 1.6713,
"step": 420
},
{
"epoch": 0.32,
"learning_rate": 4.464774707493155e-05,
"loss": 1.6679,
"step": 430
},
{
"epoch": 0.33,
"learning_rate": 4.4523276076674136e-05,
"loss": 1.6229,
"step": 440
},
{
"epoch": 0.34,
"learning_rate": 4.439880507841673e-05,
"loss": 1.6595,
"step": 450
},
{
"epoch": 0.34,
"learning_rate": 4.4274334080159326e-05,
"loss": 1.6843,
"step": 460
},
{
"epoch": 0.35,
"learning_rate": 4.414986308190192e-05,
"loss": 1.6754,
"step": 470
},
{
"epoch": 0.36,
"learning_rate": 4.4025392083644516e-05,
"loss": 1.6749,
"step": 480
},
{
"epoch": 0.37,
"learning_rate": 4.390092108538711e-05,
"loss": 1.679,
"step": 490
},
{
"epoch": 0.37,
"learning_rate": 4.37764500871297e-05,
"loss": 1.6954,
"step": 500
},
{
"epoch": 0.38,
"learning_rate": 4.36519790888723e-05,
"loss": 1.6892,
"step": 510
},
{
"epoch": 0.39,
"learning_rate": 4.352750809061489e-05,
"loss": 1.6729,
"step": 520
},
{
"epoch": 0.4,
"learning_rate": 4.340303709235748e-05,
"loss": 1.6966,
"step": 530
},
{
"epoch": 0.4,
"learning_rate": 4.327856609410008e-05,
"loss": 1.6569,
"step": 540
},
{
"epoch": 0.41,
"learning_rate": 4.315409509584267e-05,
"loss": 1.6772,
"step": 550
},
{
"epoch": 0.42,
"learning_rate": 4.302962409758526e-05,
"loss": 1.71,
"step": 560
},
{
"epoch": 0.43,
"learning_rate": 4.290515309932786e-05,
"loss": 1.6943,
"step": 570
},
{
"epoch": 0.43,
"learning_rate": 4.278068210107045e-05,
"loss": 1.6924,
"step": 580
},
{
"epoch": 0.44,
"learning_rate": 4.2656211102813046e-05,
"loss": 1.6624,
"step": 590
},
{
"epoch": 0.45,
"learning_rate": 4.253174010455564e-05,
"loss": 1.7119,
"step": 600
},
{
"epoch": 0.46,
"learning_rate": 4.2407269106298235e-05,
"loss": 1.6774,
"step": 610
},
{
"epoch": 0.46,
"learning_rate": 4.228279810804083e-05,
"loss": 1.6426,
"step": 620
},
{
"epoch": 0.47,
"learning_rate": 4.2158327109783425e-05,
"loss": 1.6472,
"step": 630
},
{
"epoch": 0.48,
"learning_rate": 4.203385611152601e-05,
"loss": 1.6818,
"step": 640
},
{
"epoch": 0.49,
"learning_rate": 4.1909385113268615e-05,
"loss": 1.682,
"step": 650
},
{
"epoch": 0.49,
"learning_rate": 4.17849141150112e-05,
"loss": 1.6818,
"step": 660
},
{
"epoch": 0.5,
"learning_rate": 4.16604431167538e-05,
"loss": 1.7324,
"step": 670
},
{
"epoch": 0.51,
"learning_rate": 4.153597211849639e-05,
"loss": 1.7011,
"step": 680
},
{
"epoch": 0.52,
"learning_rate": 4.141150112023899e-05,
"loss": 1.655,
"step": 690
},
{
"epoch": 0.52,
"learning_rate": 4.128703012198158e-05,
"loss": 1.6714,
"step": 700
},
{
"epoch": 0.53,
"learning_rate": 4.116255912372418e-05,
"loss": 1.6412,
"step": 710
},
{
"epoch": 0.54,
"learning_rate": 4.1038088125466765e-05,
"loss": 1.7089,
"step": 720
},
{
"epoch": 0.55,
"learning_rate": 4.091361712720937e-05,
"loss": 1.7258,
"step": 730
},
{
"epoch": 0.55,
"learning_rate": 4.0789146128951955e-05,
"loss": 1.6653,
"step": 740
},
{
"epoch": 0.56,
"learning_rate": 4.066467513069455e-05,
"loss": 1.7243,
"step": 750
},
{
"epoch": 0.57,
"learning_rate": 4.0540204132437145e-05,
"loss": 1.6708,
"step": 760
},
{
"epoch": 0.58,
"learning_rate": 4.041573313417974e-05,
"loss": 1.664,
"step": 770
},
{
"epoch": 0.58,
"learning_rate": 4.029126213592233e-05,
"loss": 1.6805,
"step": 780
},
{
"epoch": 0.59,
"learning_rate": 4.016679113766493e-05,
"loss": 1.6866,
"step": 790
},
{
"epoch": 0.6,
"learning_rate": 4.004232013940752e-05,
"loss": 1.6941,
"step": 800
},
{
"epoch": 0.6,
"learning_rate": 3.991784914115011e-05,
"loss": 1.6803,
"step": 810
},
{
"epoch": 0.61,
"learning_rate": 3.979337814289271e-05,
"loss": 1.6861,
"step": 820
},
{
"epoch": 0.62,
"learning_rate": 3.96689071446353e-05,
"loss": 1.6641,
"step": 830
},
{
"epoch": 0.63,
"learning_rate": 3.95444361463779e-05,
"loss": 1.6765,
"step": 840
},
{
"epoch": 0.63,
"learning_rate": 3.941996514812049e-05,
"loss": 1.6821,
"step": 850
},
{
"epoch": 0.64,
"learning_rate": 3.929549414986308e-05,
"loss": 1.6679,
"step": 860
},
{
"epoch": 0.65,
"learning_rate": 3.917102315160568e-05,
"loss": 1.6842,
"step": 870
},
{
"epoch": 0.66,
"learning_rate": 3.904655215334827e-05,
"loss": 1.6082,
"step": 880
},
{
"epoch": 0.66,
"learning_rate": 3.8922081155090865e-05,
"loss": 1.6627,
"step": 890
},
{
"epoch": 0.67,
"learning_rate": 3.879761015683346e-05,
"loss": 1.6617,
"step": 900
},
{
"epoch": 0.68,
"learning_rate": 3.8673139158576054e-05,
"loss": 1.7024,
"step": 910
},
{
"epoch": 0.69,
"learning_rate": 3.854866816031865e-05,
"loss": 1.7301,
"step": 920
},
{
"epoch": 0.69,
"learning_rate": 3.8424197162061244e-05,
"loss": 1.6908,
"step": 930
},
{
"epoch": 0.7,
"learning_rate": 3.829972616380383e-05,
"loss": 1.7047,
"step": 940
},
{
"epoch": 0.71,
"learning_rate": 3.8175255165546434e-05,
"loss": 1.6659,
"step": 950
},
{
"epoch": 0.72,
"learning_rate": 3.805078416728902e-05,
"loss": 1.6979,
"step": 960
},
{
"epoch": 0.72,
"learning_rate": 3.792631316903162e-05,
"loss": 1.6619,
"step": 970
},
{
"epoch": 0.73,
"learning_rate": 3.780184217077421e-05,
"loss": 1.707,
"step": 980
},
{
"epoch": 0.74,
"learning_rate": 3.7677371172516806e-05,
"loss": 1.6485,
"step": 990
},
{
"epoch": 0.75,
"learning_rate": 3.7552900174259395e-05,
"loss": 1.6706,
"step": 1000
},
{
"epoch": 0.75,
"learning_rate": 3.7428429176001996e-05,
"loss": 1.7042,
"step": 1010
},
{
"epoch": 0.76,
"learning_rate": 3.7303958177744584e-05,
"loss": 1.6838,
"step": 1020
},
{
"epoch": 0.77,
"learning_rate": 3.717948717948718e-05,
"loss": 1.668,
"step": 1030
},
{
"epoch": 0.78,
"learning_rate": 3.7055016181229774e-05,
"loss": 1.6359,
"step": 1040
},
{
"epoch": 0.78,
"learning_rate": 3.693054518297237e-05,
"loss": 1.6797,
"step": 1050
},
{
"epoch": 0.79,
"learning_rate": 3.6806074184714964e-05,
"loss": 1.6365,
"step": 1060
},
{
"epoch": 0.8,
"learning_rate": 3.668160318645756e-05,
"loss": 1.6751,
"step": 1070
},
{
"epoch": 0.81,
"learning_rate": 3.655713218820015e-05,
"loss": 1.704,
"step": 1080
},
{
"epoch": 0.81,
"learning_rate": 3.643266118994275e-05,
"loss": 1.7065,
"step": 1090
},
{
"epoch": 0.82,
"learning_rate": 3.6308190191685337e-05,
"loss": 1.6561,
"step": 1100
},
{
"epoch": 0.83,
"learning_rate": 3.618371919342793e-05,
"loss": 1.6445,
"step": 1110
},
{
"epoch": 0.84,
"learning_rate": 3.6059248195170526e-05,
"loss": 1.6907,
"step": 1120
},
{
"epoch": 0.84,
"learning_rate": 3.593477719691312e-05,
"loss": 1.6743,
"step": 1130
},
{
"epoch": 0.85,
"learning_rate": 3.5810306198655716e-05,
"loss": 1.6555,
"step": 1140
},
{
"epoch": 0.86,
"learning_rate": 3.568583520039831e-05,
"loss": 1.6481,
"step": 1150
},
{
"epoch": 0.87,
"learning_rate": 3.55613642021409e-05,
"loss": 1.6418,
"step": 1160
},
{
"epoch": 0.87,
"learning_rate": 3.54368932038835e-05,
"loss": 1.6889,
"step": 1170
},
{
"epoch": 0.88,
"learning_rate": 3.531242220562609e-05,
"loss": 1.7159,
"step": 1180
},
{
"epoch": 0.89,
"learning_rate": 3.5187951207368684e-05,
"loss": 1.6781,
"step": 1190
},
{
"epoch": 0.9,
"learning_rate": 3.506348020911128e-05,
"loss": 1.7053,
"step": 1200
},
{
"epoch": 0.9,
"learning_rate": 3.493900921085387e-05,
"loss": 1.6833,
"step": 1210
},
{
"epoch": 0.91,
"learning_rate": 3.481453821259646e-05,
"loss": 1.7338,
"step": 1220
},
{
"epoch": 0.92,
"learning_rate": 3.469006721433906e-05,
"loss": 1.6494,
"step": 1230
},
{
"epoch": 0.93,
"learning_rate": 3.456559621608165e-05,
"loss": 1.7011,
"step": 1240
},
{
"epoch": 0.93,
"learning_rate": 3.4441125217824246e-05,
"loss": 1.6499,
"step": 1250
},
{
"epoch": 0.94,
"learning_rate": 3.431665421956684e-05,
"loss": 1.6617,
"step": 1260
},
{
"epoch": 0.95,
"learning_rate": 3.4192183221309436e-05,
"loss": 1.7155,
"step": 1270
},
{
"epoch": 0.96,
"learning_rate": 3.406771222305203e-05,
"loss": 1.6906,
"step": 1280
},
{
"epoch": 0.96,
"learning_rate": 3.3943241224794625e-05,
"loss": 1.6602,
"step": 1290
},
{
"epoch": 0.97,
"learning_rate": 3.3818770226537214e-05,
"loss": 1.6601,
"step": 1300
},
{
"epoch": 0.98,
"learning_rate": 3.3694299228279815e-05,
"loss": 1.705,
"step": 1310
},
{
"epoch": 0.99,
"learning_rate": 3.35698282300224e-05,
"loss": 1.6679,
"step": 1320
},
{
"epoch": 0.99,
"learning_rate": 3.3445357231765e-05,
"loss": 1.6713,
"step": 1330
},
{
"epoch": 1.0,
"learning_rate": 3.332088623350759e-05,
"loss": 1.66,
"step": 1340
},
{
"epoch": 1.01,
"learning_rate": 3.319641523525019e-05,
"loss": 1.6521,
"step": 1350
},
{
"epoch": 1.02,
"learning_rate": 3.307194423699278e-05,
"loss": 1.6618,
"step": 1360
},
{
"epoch": 1.02,
"learning_rate": 3.294747323873538e-05,
"loss": 1.6652,
"step": 1370
},
{
"epoch": 1.03,
"learning_rate": 3.2823002240477966e-05,
"loss": 1.6662,
"step": 1380
},
{
"epoch": 1.04,
"learning_rate": 3.269853124222057e-05,
"loss": 1.6808,
"step": 1390
},
{
"epoch": 1.05,
"learning_rate": 3.2574060243963156e-05,
"loss": 1.6629,
"step": 1400
},
{
"epoch": 1.05,
"learning_rate": 3.244958924570575e-05,
"loss": 1.6527,
"step": 1410
},
{
"epoch": 1.06,
"learning_rate": 3.2325118247448345e-05,
"loss": 1.6941,
"step": 1420
},
{
"epoch": 1.07,
"learning_rate": 3.220064724919094e-05,
"loss": 1.6928,
"step": 1430
},
{
"epoch": 1.08,
"learning_rate": 3.2076176250933535e-05,
"loss": 1.6707,
"step": 1440
},
{
"epoch": 1.08,
"learning_rate": 3.195170525267613e-05,
"loss": 1.6707,
"step": 1450
},
{
"epoch": 1.09,
"learning_rate": 3.182723425441872e-05,
"loss": 1.6671,
"step": 1460
},
{
"epoch": 1.1,
"learning_rate": 3.170276325616132e-05,
"loss": 1.7053,
"step": 1470
},
{
"epoch": 1.11,
"learning_rate": 3.157829225790391e-05,
"loss": 1.7013,
"step": 1480
},
{
"epoch": 1.11,
"learning_rate": 3.14538212596465e-05,
"loss": 1.6856,
"step": 1490
},
{
"epoch": 1.12,
"learning_rate": 3.13293502613891e-05,
"loss": 1.6423,
"step": 1500
},
{
"epoch": 1.13,
"learning_rate": 3.120487926313169e-05,
"loss": 1.6974,
"step": 1510
},
{
"epoch": 1.14,
"learning_rate": 3.108040826487428e-05,
"loss": 1.6975,
"step": 1520
},
{
"epoch": 1.14,
"learning_rate": 3.095593726661688e-05,
"loss": 1.6713,
"step": 1530
},
{
"epoch": 1.15,
"learning_rate": 3.083146626835947e-05,
"loss": 1.7024,
"step": 1540
},
{
"epoch": 1.16,
"learning_rate": 3.0706995270102065e-05,
"loss": 1.6648,
"step": 1550
},
{
"epoch": 1.17,
"learning_rate": 3.058252427184466e-05,
"loss": 1.7033,
"step": 1560
},
{
"epoch": 1.17,
"learning_rate": 3.0458053273587255e-05,
"loss": 1.6848,
"step": 1570
},
{
"epoch": 1.18,
"learning_rate": 3.0333582275329846e-05,
"loss": 1.634,
"step": 1580
},
{
"epoch": 1.19,
"learning_rate": 3.0209111277072444e-05,
"loss": 1.6589,
"step": 1590
},
{
"epoch": 1.19,
"learning_rate": 3.0084640278815036e-05,
"loss": 1.6243,
"step": 1600
},
{
"epoch": 1.2,
"learning_rate": 2.996016928055763e-05,
"loss": 1.6826,
"step": 1610
},
{
"epoch": 1.21,
"learning_rate": 2.9835698282300222e-05,
"loss": 1.7053,
"step": 1620
},
{
"epoch": 1.22,
"learning_rate": 2.971122728404282e-05,
"loss": 1.6517,
"step": 1630
},
{
"epoch": 1.22,
"learning_rate": 2.9586756285785412e-05,
"loss": 1.6798,
"step": 1640
},
{
"epoch": 1.23,
"learning_rate": 2.9462285287528007e-05,
"loss": 1.6284,
"step": 1650
},
{
"epoch": 1.24,
"learning_rate": 2.93378142892706e-05,
"loss": 1.6601,
"step": 1660
},
{
"epoch": 1.25,
"learning_rate": 2.9213343291013197e-05,
"loss": 1.69,
"step": 1670
},
{
"epoch": 1.25,
"learning_rate": 2.9088872292755788e-05,
"loss": 1.6547,
"step": 1680
},
{
"epoch": 1.26,
"learning_rate": 2.8964401294498383e-05,
"loss": 1.6493,
"step": 1690
},
{
"epoch": 1.27,
"learning_rate": 2.8839930296240975e-05,
"loss": 1.7091,
"step": 1700
},
{
"epoch": 1.28,
"learning_rate": 2.8715459297983573e-05,
"loss": 1.6715,
"step": 1710
},
{
"epoch": 1.28,
"learning_rate": 2.859098829972616e-05,
"loss": 1.6294,
"step": 1720
},
{
"epoch": 1.29,
"learning_rate": 2.846651730146876e-05,
"loss": 1.6879,
"step": 1730
},
{
"epoch": 1.3,
"learning_rate": 2.834204630321135e-05,
"loss": 1.6492,
"step": 1740
},
{
"epoch": 1.31,
"learning_rate": 2.8217575304953945e-05,
"loss": 1.6487,
"step": 1750
},
{
"epoch": 1.31,
"learning_rate": 2.8093104306696544e-05,
"loss": 1.668,
"step": 1760
},
{
"epoch": 1.32,
"learning_rate": 2.7968633308439135e-05,
"loss": 1.6987,
"step": 1770
},
{
"epoch": 1.33,
"learning_rate": 2.784416231018173e-05,
"loss": 1.6476,
"step": 1780
},
{
"epoch": 1.34,
"learning_rate": 2.771969131192432e-05,
"loss": 1.6651,
"step": 1790
},
{
"epoch": 1.34,
"learning_rate": 2.759522031366692e-05,
"loss": 1.6705,
"step": 1800
},
{
"epoch": 1.35,
"learning_rate": 2.747074931540951e-05,
"loss": 1.6648,
"step": 1810
},
{
"epoch": 1.36,
"learning_rate": 2.7346278317152106e-05,
"loss": 1.6406,
"step": 1820
},
{
"epoch": 1.37,
"learning_rate": 2.7221807318894698e-05,
"loss": 1.6911,
"step": 1830
},
{
"epoch": 1.37,
"learning_rate": 2.7097336320637296e-05,
"loss": 1.6903,
"step": 1840
},
{
"epoch": 1.38,
"learning_rate": 2.6972865322379887e-05,
"loss": 1.6341,
"step": 1850
},
{
"epoch": 1.39,
"learning_rate": 2.6848394324122482e-05,
"loss": 1.69,
"step": 1860
},
{
"epoch": 1.4,
"learning_rate": 2.6723923325865074e-05,
"loss": 1.6814,
"step": 1870
},
{
"epoch": 1.4,
"learning_rate": 2.6599452327607672e-05,
"loss": 1.6394,
"step": 1880
},
{
"epoch": 1.41,
"learning_rate": 2.6474981329350264e-05,
"loss": 1.6721,
"step": 1890
},
{
"epoch": 1.42,
"learning_rate": 2.635051033109286e-05,
"loss": 1.6732,
"step": 1900
},
{
"epoch": 1.43,
"learning_rate": 2.622603933283545e-05,
"loss": 1.6734,
"step": 1910
},
{
"epoch": 1.43,
"learning_rate": 2.6101568334578048e-05,
"loss": 1.676,
"step": 1920
},
{
"epoch": 1.44,
"learning_rate": 2.597709733632064e-05,
"loss": 1.6834,
"step": 1930
},
{
"epoch": 1.45,
"learning_rate": 2.5852626338063234e-05,
"loss": 1.7061,
"step": 1940
},
{
"epoch": 1.46,
"learning_rate": 2.5728155339805826e-05,
"loss": 1.7036,
"step": 1950
},
{
"epoch": 1.46,
"learning_rate": 2.5603684341548424e-05,
"loss": 1.6561,
"step": 1960
},
{
"epoch": 1.47,
"learning_rate": 2.5479213343291016e-05,
"loss": 1.6797,
"step": 1970
},
{
"epoch": 1.48,
"learning_rate": 2.535474234503361e-05,
"loss": 1.6466,
"step": 1980
},
{
"epoch": 1.49,
"learning_rate": 2.5230271346776202e-05,
"loss": 1.6677,
"step": 1990
},
{
"epoch": 1.49,
"learning_rate": 2.51058003485188e-05,
"loss": 1.6627,
"step": 2000
},
{
"epoch": 1.5,
"learning_rate": 2.498132935026139e-05,
"loss": 1.6796,
"step": 2010
},
{
"epoch": 1.51,
"learning_rate": 2.4856858352003983e-05,
"loss": 1.6804,
"step": 2020
},
{
"epoch": 1.52,
"learning_rate": 2.4732387353746578e-05,
"loss": 1.6359,
"step": 2030
},
{
"epoch": 1.52,
"learning_rate": 2.4607916355489173e-05,
"loss": 1.6767,
"step": 2040
},
{
"epoch": 1.53,
"learning_rate": 2.4483445357231764e-05,
"loss": 1.6192,
"step": 2050
},
{
"epoch": 1.54,
"learning_rate": 2.435897435897436e-05,
"loss": 1.6865,
"step": 2060
},
{
"epoch": 1.55,
"learning_rate": 2.4234503360716954e-05,
"loss": 1.6545,
"step": 2070
},
{
"epoch": 1.55,
"learning_rate": 2.411003236245955e-05,
"loss": 1.6819,
"step": 2080
},
{
"epoch": 1.56,
"learning_rate": 2.398556136420214e-05,
"loss": 1.6609,
"step": 2090
},
{
"epoch": 1.57,
"learning_rate": 2.3861090365944735e-05,
"loss": 1.6662,
"step": 2100
},
{
"epoch": 1.58,
"learning_rate": 2.373661936768733e-05,
"loss": 1.6897,
"step": 2110
},
{
"epoch": 1.58,
"learning_rate": 2.3612148369429922e-05,
"loss": 1.6474,
"step": 2120
},
{
"epoch": 1.59,
"learning_rate": 2.3487677371172517e-05,
"loss": 1.6628,
"step": 2130
},
{
"epoch": 1.6,
"learning_rate": 2.336320637291511e-05,
"loss": 1.6274,
"step": 2140
},
{
"epoch": 1.61,
"learning_rate": 2.3238735374657706e-05,
"loss": 1.6796,
"step": 2150
},
{
"epoch": 1.61,
"learning_rate": 2.3114264376400298e-05,
"loss": 1.6413,
"step": 2160
},
{
"epoch": 1.62,
"learning_rate": 2.2989793378142893e-05,
"loss": 1.679,
"step": 2170
},
{
"epoch": 1.63,
"learning_rate": 2.2865322379885488e-05,
"loss": 1.6764,
"step": 2180
},
{
"epoch": 1.64,
"learning_rate": 2.2740851381628083e-05,
"loss": 1.6424,
"step": 2190
},
{
"epoch": 1.64,
"learning_rate": 2.2616380383370674e-05,
"loss": 1.6615,
"step": 2200
},
{
"epoch": 1.65,
"learning_rate": 2.249190938511327e-05,
"loss": 1.6498,
"step": 2210
},
{
"epoch": 1.66,
"learning_rate": 2.2367438386855864e-05,
"loss": 1.6849,
"step": 2220
},
{
"epoch": 1.67,
"learning_rate": 2.2242967388598455e-05,
"loss": 1.6806,
"step": 2230
},
{
"epoch": 1.67,
"learning_rate": 2.211849639034105e-05,
"loss": 1.6607,
"step": 2240
},
{
"epoch": 1.68,
"learning_rate": 2.1994025392083645e-05,
"loss": 1.6625,
"step": 2250
},
{
"epoch": 1.69,
"learning_rate": 2.186955439382624e-05,
"loss": 1.667,
"step": 2260
},
{
"epoch": 1.7,
"learning_rate": 2.174508339556883e-05,
"loss": 1.653,
"step": 2270
},
{
"epoch": 1.7,
"learning_rate": 2.1620612397311426e-05,
"loss": 1.722,
"step": 2280
},
{
"epoch": 1.71,
"learning_rate": 2.149614139905402e-05,
"loss": 1.6694,
"step": 2290
},
{
"epoch": 1.72,
"learning_rate": 2.1371670400796616e-05,
"loss": 1.634,
"step": 2300
},
{
"epoch": 1.73,
"learning_rate": 2.1247199402539207e-05,
"loss": 1.6961,
"step": 2310
},
{
"epoch": 1.73,
"learning_rate": 2.1122728404281802e-05,
"loss": 1.6924,
"step": 2320
},
{
"epoch": 1.74,
"learning_rate": 2.0998257406024397e-05,
"loss": 1.6452,
"step": 2330
},
{
"epoch": 1.75,
"learning_rate": 2.0873786407766992e-05,
"loss": 1.6365,
"step": 2340
},
{
"epoch": 1.76,
"learning_rate": 2.0749315409509583e-05,
"loss": 1.681,
"step": 2350
},
{
"epoch": 1.76,
"learning_rate": 2.062484441125218e-05,
"loss": 1.672,
"step": 2360
},
{
"epoch": 1.77,
"learning_rate": 2.0500373412994773e-05,
"loss": 1.6716,
"step": 2370
},
{
"epoch": 1.78,
"learning_rate": 2.0375902414737365e-05,
"loss": 1.6957,
"step": 2380
},
{
"epoch": 1.78,
"learning_rate": 2.025143141647996e-05,
"loss": 1.6721,
"step": 2390
},
{
"epoch": 1.79,
"learning_rate": 2.0126960418222554e-05,
"loss": 1.6551,
"step": 2400
},
{
"epoch": 1.8,
"learning_rate": 2.000248941996515e-05,
"loss": 1.6763,
"step": 2410
},
{
"epoch": 1.81,
"learning_rate": 1.987801842170774e-05,
"loss": 1.6576,
"step": 2420
},
{
"epoch": 1.81,
"learning_rate": 1.9753547423450336e-05,
"loss": 1.6197,
"step": 2430
},
{
"epoch": 1.82,
"learning_rate": 1.962907642519293e-05,
"loss": 1.6644,
"step": 2440
},
{
"epoch": 1.83,
"learning_rate": 1.9504605426935525e-05,
"loss": 1.6558,
"step": 2450
},
{
"epoch": 1.84,
"learning_rate": 1.9380134428678117e-05,
"loss": 1.639,
"step": 2460
},
{
"epoch": 1.84,
"learning_rate": 1.9255663430420712e-05,
"loss": 1.647,
"step": 2470
},
{
"epoch": 1.85,
"learning_rate": 1.9131192432163307e-05,
"loss": 1.6516,
"step": 2480
},
{
"epoch": 1.86,
"learning_rate": 1.9006721433905898e-05,
"loss": 1.6795,
"step": 2490
},
{
"epoch": 1.87,
"learning_rate": 1.8882250435648493e-05,
"loss": 1.658,
"step": 2500
}
],
"logging_steps": 10,
"max_steps": 4017,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 1.5800620548096e+18,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}