ironrock's picture
Upload folder using huggingface_hub
ef07c61 verified
{
"best_metric": 0.3034871220588684,
"best_model_checkpoint": "./Mistral/17-03-24-Weni-ZeroShot-3.3.35-Mistral-7b-Multilanguage-3.3.0_ZeroShot SFT Training with its best hyperparameters-2_max_steps-2344_batch_16_2024-03-17_ppid_9/checkpoint-2300",
"epoch": 1.9607843137254903,
"eval_steps": 50,
"global_step": 2300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"grad_norm": 5.4808268547058105,
"learning_rate": 1.623931623931624e-05,
"loss": 1.7023,
"step": 20
},
{
"epoch": 0.03,
"grad_norm": 2.232806444168091,
"learning_rate": 3.3333333333333335e-05,
"loss": 1.1297,
"step": 40
},
{
"epoch": 0.04,
"eval_loss": 0.5450807809829712,
"eval_runtime": 271.242,
"eval_samples_per_second": 7.687,
"eval_steps_per_second": 0.962,
"step": 50
},
{
"epoch": 0.05,
"grad_norm": 0.8864539265632629,
"learning_rate": 4.9572649572649575e-05,
"loss": 0.5849,
"step": 60
},
{
"epoch": 0.07,
"grad_norm": 0.8033413887023926,
"learning_rate": 6.666666666666667e-05,
"loss": 0.4593,
"step": 80
},
{
"epoch": 0.09,
"grad_norm": 0.6578605771064758,
"learning_rate": 8.376068376068377e-05,
"loss": 0.4425,
"step": 100
},
{
"epoch": 0.09,
"eval_loss": 0.42795854806900024,
"eval_runtime": 271.0229,
"eval_samples_per_second": 7.693,
"eval_steps_per_second": 0.963,
"step": 100
},
{
"epoch": 0.1,
"grad_norm": 0.5158710479736328,
"learning_rate": 0.00010085470085470086,
"loss": 0.4249,
"step": 120
},
{
"epoch": 0.12,
"grad_norm": 0.4536530375480652,
"learning_rate": 0.00011794871794871796,
"loss": 0.4241,
"step": 140
},
{
"epoch": 0.13,
"eval_loss": 0.4137832820415497,
"eval_runtime": 271.1041,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 150
},
{
"epoch": 0.14,
"grad_norm": 0.3979959785938263,
"learning_rate": 0.00013504273504273505,
"loss": 0.4154,
"step": 160
},
{
"epoch": 0.15,
"grad_norm": 0.4166259467601776,
"learning_rate": 0.00015213675213675214,
"loss": 0.4107,
"step": 180
},
{
"epoch": 0.17,
"grad_norm": 0.40765708684921265,
"learning_rate": 0.00016923076923076923,
"loss": 0.4059,
"step": 200
},
{
"epoch": 0.17,
"eval_loss": 0.40599754452705383,
"eval_runtime": 271.1072,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 200
},
{
"epoch": 0.19,
"grad_norm": 0.39934784173965454,
"learning_rate": 0.00018632478632478634,
"loss": 0.3935,
"step": 220
},
{
"epoch": 0.2,
"grad_norm": 0.39337554574012756,
"learning_rate": 0.00019999822653125876,
"loss": 0.4125,
"step": 240
},
{
"epoch": 0.21,
"eval_loss": 0.4002617597579956,
"eval_runtime": 271.1099,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 250
},
{
"epoch": 0.22,
"grad_norm": 0.4723268449306488,
"learning_rate": 0.00019993616172996704,
"loss": 0.4074,
"step": 260
},
{
"epoch": 0.24,
"grad_norm": 0.4829658269882202,
"learning_rate": 0.00019978548638541202,
"loss": 0.3933,
"step": 280
},
{
"epoch": 0.26,
"grad_norm": 0.7815160155296326,
"learning_rate": 0.00019954633409712276,
"loss": 0.3948,
"step": 300
},
{
"epoch": 0.26,
"eval_loss": 0.3945770263671875,
"eval_runtime": 271.0451,
"eval_samples_per_second": 7.692,
"eval_steps_per_second": 0.963,
"step": 300
},
{
"epoch": 0.27,
"grad_norm": 0.4525783956050873,
"learning_rate": 0.00019921891691460983,
"loss": 0.3777,
"step": 320
},
{
"epoch": 0.29,
"grad_norm": 0.3549365699291229,
"learning_rate": 0.00019880352514934724,
"loss": 0.3979,
"step": 340
},
{
"epoch": 0.3,
"eval_loss": 0.3886016309261322,
"eval_runtime": 271.0939,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 350
},
{
"epoch": 0.31,
"grad_norm": 0.38849011063575745,
"learning_rate": 0.00019830052711736142,
"loss": 0.3895,
"step": 360
},
{
"epoch": 0.32,
"grad_norm": 0.4513374865055084,
"learning_rate": 0.00019771036881265598,
"loss": 0.3866,
"step": 380
},
{
"epoch": 0.34,
"grad_norm": 0.4288094639778137,
"learning_rate": 0.00019703357351176151,
"loss": 0.3938,
"step": 400
},
{
"epoch": 0.34,
"eval_loss": 0.38462838530540466,
"eval_runtime": 271.1664,
"eval_samples_per_second": 7.689,
"eval_steps_per_second": 0.963,
"step": 400
},
{
"epoch": 0.36,
"grad_norm": 0.3525382876396179,
"learning_rate": 0.00019627074130976126,
"loss": 0.3891,
"step": 420
},
{
"epoch": 0.38,
"grad_norm": 0.5788955688476562,
"learning_rate": 0.0001954225485882039,
"loss": 0.3739,
"step": 440
},
{
"epoch": 0.38,
"eval_loss": 0.3804500699043274,
"eval_runtime": 271.0816,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 450
},
{
"epoch": 0.39,
"grad_norm": 0.47232553362846375,
"learning_rate": 0.00019448974741537525,
"loss": 0.371,
"step": 460
},
{
"epoch": 0.41,
"grad_norm": 0.38733381032943726,
"learning_rate": 0.0001934731648794609,
"loss": 0.37,
"step": 480
},
{
"epoch": 0.43,
"grad_norm": 0.42200860381126404,
"learning_rate": 0.00019237370235519077,
"loss": 0.3726,
"step": 500
},
{
"epoch": 0.43,
"eval_loss": 0.3774518370628357,
"eval_runtime": 271.1201,
"eval_samples_per_second": 7.69,
"eval_steps_per_second": 0.963,
"step": 500
},
{
"epoch": 0.44,
"grad_norm": 0.5560094118118286,
"learning_rate": 0.00019119233470461558,
"loss": 0.3754,
"step": 520
},
{
"epoch": 0.46,
"grad_norm": 0.3813556134700775,
"learning_rate": 0.00018993010941272478,
"loss": 0.363,
"step": 540
},
{
"epoch": 0.47,
"eval_loss": 0.37297067046165466,
"eval_runtime": 271.0879,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 550
},
{
"epoch": 0.48,
"grad_norm": 0.5384305715560913,
"learning_rate": 0.0001885881456586713,
"loss": 0.3656,
"step": 560
},
{
"epoch": 0.49,
"grad_norm": 0.4100024700164795,
"learning_rate": 0.0001871676333234274,
"loss": 0.3668,
"step": 580
},
{
"epoch": 0.51,
"grad_norm": 0.4203307628631592,
"learning_rate": 0.0001856698319347513,
"loss": 0.3718,
"step": 600
},
{
"epoch": 0.51,
"eval_loss": 0.3698495626449585,
"eval_runtime": 271.0857,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 600
},
{
"epoch": 0.53,
"grad_norm": 0.5422376990318298,
"learning_rate": 0.0001840960695503995,
"loss": 0.3813,
"step": 620
},
{
"epoch": 0.55,
"grad_norm": 0.41980084776878357,
"learning_rate": 0.00018244774158057624,
"loss": 0.3711,
"step": 640
},
{
"epoch": 0.55,
"eval_loss": 0.3666984438896179,
"eval_runtime": 271.059,
"eval_samples_per_second": 7.692,
"eval_steps_per_second": 0.963,
"step": 650
},
{
"epoch": 0.56,
"grad_norm": 0.49988237023353577,
"learning_rate": 0.00018072630955066288,
"loss": 0.3669,
"step": 660
},
{
"epoch": 0.58,
"grad_norm": 0.4338107407093048,
"learning_rate": 0.00017893329980532498,
"loss": 0.3709,
"step": 680
},
{
"epoch": 0.6,
"grad_norm": 0.46425387263298035,
"learning_rate": 0.0001770703021551463,
"loss": 0.3665,
"step": 700
},
{
"epoch": 0.6,
"eval_loss": 0.36363786458969116,
"eval_runtime": 271.1155,
"eval_samples_per_second": 7.69,
"eval_steps_per_second": 0.963,
"step": 700
},
{
"epoch": 0.61,
"grad_norm": 0.5348316431045532,
"learning_rate": 0.00017513896846698882,
"loss": 0.3574,
"step": 720
},
{
"epoch": 0.63,
"grad_norm": 0.4046632945537567,
"learning_rate": 0.00017314101119932974,
"loss": 0.3625,
"step": 740
},
{
"epoch": 0.64,
"eval_loss": 0.3617616891860962,
"eval_runtime": 271.137,
"eval_samples_per_second": 7.69,
"eval_steps_per_second": 0.963,
"step": 750
},
{
"epoch": 0.65,
"grad_norm": 0.44371724128723145,
"learning_rate": 0.00017107820188387327,
"loss": 0.3752,
"step": 760
},
{
"epoch": 0.66,
"grad_norm": 0.4216190576553345,
"learning_rate": 0.00016895236955478412,
"loss": 0.3606,
"step": 780
},
{
"epoch": 0.68,
"grad_norm": 0.5870906114578247,
"learning_rate": 0.00016676539912693501,
"loss": 0.3756,
"step": 800
},
{
"epoch": 0.68,
"eval_loss": 0.3583546280860901,
"eval_runtime": 271.1679,
"eval_samples_per_second": 7.689,
"eval_steps_per_second": 0.963,
"step": 800
},
{
"epoch": 0.7,
"grad_norm": 0.4018837511539459,
"learning_rate": 0.00016451922972460643,
"loss": 0.358,
"step": 820
},
{
"epoch": 0.72,
"grad_norm": 0.4688343107700348,
"learning_rate": 0.00016221585296212054,
"loss": 0.3493,
"step": 840
},
{
"epoch": 0.72,
"eval_loss": 0.35402199625968933,
"eval_runtime": 271.1165,
"eval_samples_per_second": 7.69,
"eval_steps_per_second": 0.963,
"step": 850
},
{
"epoch": 0.73,
"grad_norm": 0.4941730797290802,
"learning_rate": 0.00015985731117793353,
"loss": 0.3502,
"step": 860
},
{
"epoch": 0.75,
"grad_norm": 0.4220365583896637,
"learning_rate": 0.00015744569562375235,
"loss": 0.3478,
"step": 880
},
{
"epoch": 0.77,
"grad_norm": 0.4305894374847412,
"learning_rate": 0.00015498314461028157,
"loss": 0.3585,
"step": 900
},
{
"epoch": 0.77,
"eval_loss": 0.3510061800479889,
"eval_runtime": 271.1908,
"eval_samples_per_second": 7.688,
"eval_steps_per_second": 0.962,
"step": 900
},
{
"epoch": 0.78,
"grad_norm": 0.45022985339164734,
"learning_rate": 0.00015247184161124415,
"loss": 0.3558,
"step": 920
},
{
"epoch": 0.8,
"grad_norm": 0.4498714506626129,
"learning_rate": 0.00014991401332735781,
"loss": 0.3466,
"step": 940
},
{
"epoch": 0.81,
"eval_loss": 0.34707528352737427,
"eval_runtime": 271.0841,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 950
},
{
"epoch": 0.82,
"grad_norm": 0.49369582533836365,
"learning_rate": 0.00014731192771198282,
"loss": 0.3463,
"step": 960
},
{
"epoch": 0.84,
"grad_norm": 0.36855530738830566,
"learning_rate": 0.00014466789196019257,
"loss": 0.3428,
"step": 980
},
{
"epoch": 0.85,
"grad_norm": 0.501837968826294,
"learning_rate": 0.00014198425046304942,
"loss": 0.3483,
"step": 1000
},
{
"epoch": 0.85,
"eval_loss": 0.34373167157173157,
"eval_runtime": 271.0714,
"eval_samples_per_second": 7.692,
"eval_steps_per_second": 0.963,
"step": 1000
},
{
"epoch": 0.87,
"grad_norm": 0.35614344477653503,
"learning_rate": 0.00013926338272890026,
"loss": 0.3322,
"step": 1020
},
{
"epoch": 0.89,
"grad_norm": 0.5366308689117432,
"learning_rate": 0.00013650770127353416,
"loss": 0.343,
"step": 1040
},
{
"epoch": 0.9,
"eval_loss": 0.3401084542274475,
"eval_runtime": 271.1104,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 1050
},
{
"epoch": 0.9,
"grad_norm": 0.46004125475883484,
"learning_rate": 0.00013371964948107344,
"loss": 0.3417,
"step": 1060
},
{
"epoch": 0.92,
"grad_norm": 0.5817845463752747,
"learning_rate": 0.00013090169943749476,
"loss": 0.332,
"step": 1080
},
{
"epoch": 0.94,
"grad_norm": 0.9298326969146729,
"learning_rate": 0.00012805634973870103,
"loss": 0.3373,
"step": 1100
},
{
"epoch": 0.94,
"eval_loss": 0.3367879390716553,
"eval_runtime": 271.219,
"eval_samples_per_second": 7.688,
"eval_steps_per_second": 0.962,
"step": 1100
},
{
"epoch": 0.95,
"grad_norm": 0.5731242299079895,
"learning_rate": 0.00012518612327508773,
"loss": 0.3443,
"step": 1120
},
{
"epoch": 0.97,
"grad_norm": 0.6886520981788635,
"learning_rate": 0.00012229356499456783,
"loss": 0.3388,
"step": 1140
},
{
"epoch": 0.98,
"eval_loss": 0.3337441086769104,
"eval_runtime": 271.0416,
"eval_samples_per_second": 7.693,
"eval_steps_per_second": 0.963,
"step": 1150
},
{
"epoch": 0.99,
"grad_norm": 0.5007095336914062,
"learning_rate": 0.00011938123964603922,
"loss": 0.3375,
"step": 1160
},
{
"epoch": 1.01,
"grad_norm": 0.49403801560401917,
"learning_rate": 0.00011645172950529504,
"loss": 0.3091,
"step": 1180
},
{
"epoch": 1.02,
"grad_norm": 0.36014652252197266,
"learning_rate": 0.00011350763208539337,
"loss": 0.256,
"step": 1200
},
{
"epoch": 1.02,
"eval_loss": 0.33549007773399353,
"eval_runtime": 271.1529,
"eval_samples_per_second": 7.689,
"eval_steps_per_second": 0.963,
"step": 1200
},
{
"epoch": 1.04,
"grad_norm": 0.4871821403503418,
"learning_rate": 0.0001105515578335165,
"loss": 0.2534,
"step": 1220
},
{
"epoch": 1.06,
"grad_norm": 0.4773302376270294,
"learning_rate": 0.00010758612781636189,
"loss": 0.2485,
"step": 1240
},
{
"epoch": 1.07,
"eval_loss": 0.3336337208747864,
"eval_runtime": 270.9871,
"eval_samples_per_second": 7.694,
"eval_steps_per_second": 0.963,
"step": 1250
},
{
"epoch": 1.07,
"grad_norm": 0.4584294259548187,
"learning_rate": 0.00010461397139611717,
"loss": 0.2621,
"step": 1260
},
{
"epoch": 1.09,
"grad_norm": 0.45226892828941345,
"learning_rate": 0.00010163772389907971,
"loss": 0.244,
"step": 1280
},
{
"epoch": 1.11,
"grad_norm": 0.5343567728996277,
"learning_rate": 9.86600242789879e-05,
"loss": 0.2452,
"step": 1300
},
{
"epoch": 1.11,
"eval_loss": 0.33007845282554626,
"eval_runtime": 271.0147,
"eval_samples_per_second": 7.693,
"eval_steps_per_second": 0.963,
"step": 1300
},
{
"epoch": 1.13,
"grad_norm": 0.4986325800418854,
"learning_rate": 9.568351277713618e-05,
"loss": 0.2525,
"step": 1320
},
{
"epoch": 1.14,
"grad_norm": 0.4909712076187134,
"learning_rate": 9.271082858134854e-05,
"loss": 0.2573,
"step": 1340
},
{
"epoch": 1.15,
"eval_loss": 0.3278447985649109,
"eval_runtime": 271.052,
"eval_samples_per_second": 7.692,
"eval_steps_per_second": 0.963,
"step": 1350
},
{
"epoch": 1.16,
"grad_norm": 0.4675891697406769,
"learning_rate": 8.974460748588577e-05,
"loss": 0.2516,
"step": 1360
},
{
"epoch": 1.18,
"grad_norm": 0.5919708013534546,
"learning_rate": 8.678747955436209e-05,
"loss": 0.2459,
"step": 1380
},
{
"epoch": 1.19,
"grad_norm": 0.5164061784744263,
"learning_rate": 8.384206678774267e-05,
"loss": 0.245,
"step": 1400
},
{
"epoch": 1.19,
"eval_loss": 0.3246319591999054,
"eval_runtime": 270.8895,
"eval_samples_per_second": 7.697,
"eval_steps_per_second": 0.963,
"step": 1400
},
{
"epoch": 1.21,
"grad_norm": 0.5498049855232239,
"learning_rate": 8.091098079949022e-05,
"loss": 0.244,
"step": 1420
},
{
"epoch": 1.23,
"grad_norm": 0.40771761536598206,
"learning_rate": 7.79968204999218e-05,
"loss": 0.2446,
"step": 1440
},
{
"epoch": 1.24,
"eval_loss": 0.32402417063713074,
"eval_runtime": 270.9055,
"eval_samples_per_second": 7.696,
"eval_steps_per_second": 0.963,
"step": 1450
},
{
"epoch": 1.24,
"grad_norm": 0.4820304811000824,
"learning_rate": 7.510216979182932e-05,
"loss": 0.2485,
"step": 1460
},
{
"epoch": 1.26,
"grad_norm": 0.40890711545944214,
"learning_rate": 7.222959527940643e-05,
"loss": 0.2426,
"step": 1480
},
{
"epoch": 1.28,
"grad_norm": 0.4243795573711395,
"learning_rate": 6.93816439925141e-05,
"loss": 0.2416,
"step": 1500
},
{
"epoch": 1.28,
"eval_loss": 0.32116860151290894,
"eval_runtime": 270.8886,
"eval_samples_per_second": 7.697,
"eval_steps_per_second": 0.963,
"step": 1500
},
{
"epoch": 1.3,
"grad_norm": 0.5360056161880493,
"learning_rate": 6.656084112830165e-05,
"loss": 0.2454,
"step": 1520
},
{
"epoch": 1.31,
"grad_norm": 0.5155255198478699,
"learning_rate": 6.376968781218665e-05,
"loss": 0.2432,
"step": 1540
},
{
"epoch": 1.32,
"eval_loss": 0.32005202770233154,
"eval_runtime": 271.08,
"eval_samples_per_second": 7.691,
"eval_steps_per_second": 0.963,
"step": 1550
},
{
"epoch": 1.33,
"grad_norm": 0.564046323299408,
"learning_rate": 6.101065888017833e-05,
"loss": 0.2414,
"step": 1560
},
{
"epoch": 1.35,
"grad_norm": 0.45059406757354736,
"learning_rate": 5.828620068451111e-05,
"loss": 0.2408,
"step": 1580
},
{
"epoch": 1.36,
"grad_norm": 0.5122149586677551,
"learning_rate": 5.559872892453375e-05,
"loss": 0.242,
"step": 1600
},
{
"epoch": 1.36,
"eval_loss": 0.316841185092926,
"eval_runtime": 271.0293,
"eval_samples_per_second": 7.693,
"eval_steps_per_second": 0.963,
"step": 1600
},
{
"epoch": 1.38,
"grad_norm": 0.48864319920539856,
"learning_rate": 5.29506265047779e-05,
"loss": 0.2432,
"step": 1620
},
{
"epoch": 1.4,
"grad_norm": 0.603583812713623,
"learning_rate": 5.034424142210443e-05,
"loss": 0.231,
"step": 1640
},
{
"epoch": 1.41,
"eval_loss": 0.3156278729438782,
"eval_runtime": 271.0109,
"eval_samples_per_second": 7.693,
"eval_steps_per_second": 0.963,
"step": 1650
},
{
"epoch": 1.42,
"grad_norm": 0.5807139873504639,
"learning_rate": 4.778188468380169e-05,
"loss": 0.2425,
"step": 1660
},
{
"epoch": 1.43,
"grad_norm": 0.4968738555908203,
"learning_rate": 4.526582825848131e-05,
"loss": 0.2362,
"step": 1680
},
{
"epoch": 1.45,
"grad_norm": 0.6385018825531006,
"learning_rate": 4.2798303061588404e-05,
"loss": 0.2369,
"step": 1700
},
{
"epoch": 1.45,
"eval_loss": 0.3140126168727875,
"eval_runtime": 270.9649,
"eval_samples_per_second": 7.695,
"eval_steps_per_second": 0.963,
"step": 1700
},
{
"epoch": 1.47,
"grad_norm": 0.5020663738250732,
"learning_rate": 4.038149697731247e-05,
"loss": 0.2425,
"step": 1720
},
{
"epoch": 1.48,
"grad_norm": 0.5276768207550049,
"learning_rate": 3.801755291865307e-05,
"loss": 0.2405,
"step": 1740
},
{
"epoch": 1.49,
"eval_loss": 0.3110227882862091,
"eval_runtime": 270.8888,
"eval_samples_per_second": 7.697,
"eval_steps_per_second": 0.963,
"step": 1750
},
{
"epoch": 1.5,
"grad_norm": 0.5092354416847229,
"learning_rate": 3.570856692735976e-05,
"loss": 0.2356,
"step": 1760
},
{
"epoch": 1.52,
"grad_norm": 0.4134100079536438,
"learning_rate": 3.3456586315431874e-05,
"loss": 0.2397,
"step": 1780
},
{
"epoch": 1.53,
"grad_norm": 0.41335973143577576,
"learning_rate": 3.126360784982532e-05,
"loss": 0.2263,
"step": 1800
},
{
"epoch": 1.53,
"eval_loss": 0.309181272983551,
"eval_runtime": 270.9592,
"eval_samples_per_second": 7.695,
"eval_steps_per_second": 0.963,
"step": 1800
},
{
"epoch": 1.55,
"grad_norm": 0.6216692924499512,
"learning_rate": 2.9131575981976245e-05,
"loss": 0.2371,
"step": 1820
},
{
"epoch": 1.57,
"grad_norm": 0.6529776453971863,
"learning_rate": 2.7062381123711532e-05,
"loss": 0.2324,
"step": 1840
},
{
"epoch": 1.58,
"eval_loss": 0.3087258040904999,
"eval_runtime": 270.9376,
"eval_samples_per_second": 7.695,
"eval_steps_per_second": 0.963,
"step": 1850
},
{
"epoch": 1.59,
"grad_norm": 0.41469648480415344,
"learning_rate": 2.505785797107446e-05,
"loss": 0.2148,
"step": 1860
},
{
"epoch": 1.6,
"grad_norm": 0.5092002749443054,
"learning_rate": 2.3119783877552126e-05,
"loss": 0.2287,
"step": 1880
},
{
"epoch": 1.62,
"grad_norm": 0.6236806511878967,
"learning_rate": 2.1249877278146868e-05,
"loss": 0.2203,
"step": 1900
},
{
"epoch": 1.62,
"eval_loss": 0.30838343501091003,
"eval_runtime": 270.9479,
"eval_samples_per_second": 7.695,
"eval_steps_per_second": 0.963,
"step": 1900
},
{
"epoch": 1.64,
"grad_norm": 0.5142087936401367,
"learning_rate": 1.944979616568885e-05,
"loss": 0.2287,
"step": 1920
},
{
"epoch": 1.65,
"grad_norm": 0.5550097227096558,
"learning_rate": 1.7721136620741218e-05,
"loss": 0.223,
"step": 1940
},
{
"epoch": 1.66,
"eval_loss": 0.30595675110816956,
"eval_runtime": 271.0761,
"eval_samples_per_second": 7.692,
"eval_steps_per_second": 0.963,
"step": 1950
},
{
"epoch": 1.67,
"grad_norm": 0.5284961462020874,
"learning_rate": 1.6065431396400986e-05,
"loss": 0.2268,
"step": 1960
},
{
"epoch": 1.69,
"grad_norm": 0.7719703912734985,
"learning_rate": 1.4484148559250588e-05,
"loss": 0.2406,
"step": 1980
},
{
"epoch": 1.71,
"grad_norm": 0.5748826861381531,
"learning_rate": 1.2978690187665133e-05,
"loss": 0.2218,
"step": 2000
},
{
"epoch": 1.71,
"eval_loss": 0.3054625391960144,
"eval_runtime": 271.0494,
"eval_samples_per_second": 7.692,
"eval_steps_per_second": 0.963,
"step": 2000
},
{
"epoch": 1.72,
"grad_norm": 0.4736625850200653,
"learning_rate": 1.1550391128629501e-05,
"loss": 0.2362,
"step": 2020
},
{
"epoch": 1.74,
"grad_norm": 0.6235111951828003,
"learning_rate": 1.0200517814167632e-05,
"loss": 0.2278,
"step": 2040
},
{
"epoch": 1.75,
"eval_loss": 0.30488070845603943,
"eval_runtime": 271.0127,
"eval_samples_per_second": 7.693,
"eval_steps_per_second": 0.963,
"step": 2050
},
{
"epoch": 1.76,
"grad_norm": 0.5903782248497009,
"learning_rate": 8.930267138433335e-06,
"loss": 0.2315,
"step": 2060
},
{
"epoch": 1.77,
"grad_norm": 0.5188658833503723,
"learning_rate": 7.740765396458482e-06,
"loss": 0.2366,
"step": 2080
},
{
"epoch": 1.79,
"grad_norm": 0.6277506351470947,
"learning_rate": 6.633067285499228e-06,
"loss": 0.2229,
"step": 2100
},
{
"epoch": 1.79,
"eval_loss": 0.30428797006607056,
"eval_runtime": 270.9982,
"eval_samples_per_second": 7.694,
"eval_steps_per_second": 0.963,
"step": 2100
},
{
"epoch": 1.81,
"grad_norm": 0.5176372528076172,
"learning_rate": 5.6081549698661305e-06,
"loss": 0.2277,
"step": 2120
},
{
"epoch": 1.82,
"grad_norm": 0.5887135863304138,
"learning_rate": 4.666937210067012e-06,
"loss": 0.2189,
"step": 2140
},
{
"epoch": 1.83,
"eval_loss": 0.3041435480117798,
"eval_runtime": 270.8969,
"eval_samples_per_second": 7.697,
"eval_steps_per_second": 0.963,
"step": 2150
},
{
"epoch": 1.84,
"grad_norm": 0.5156753063201904,
"learning_rate": 3.8102485570350123e-06,
"loss": 0.2281,
"step": 2160
},
{
"epoch": 1.86,
"grad_norm": 0.5229103565216064,
"learning_rate": 3.0388486121560313e-06,
"loss": 0.2238,
"step": 2180
},
{
"epoch": 1.88,
"grad_norm": 0.6205452084541321,
"learning_rate": 2.3534213537518832e-06,
"loss": 0.23,
"step": 2200
},
{
"epoch": 1.88,
"eval_loss": 0.3037714958190918,
"eval_runtime": 270.8992,
"eval_samples_per_second": 7.697,
"eval_steps_per_second": 0.963,
"step": 2200
},
{
"epoch": 1.89,
"grad_norm": 0.502139151096344,
"learning_rate": 1.7545745306162487e-06,
"loss": 0.2298,
"step": 2220
},
{
"epoch": 1.91,
"grad_norm": 0.590472936630249,
"learning_rate": 1.242839123141104e-06,
"loss": 0.2235,
"step": 2240
},
{
"epoch": 1.92,
"eval_loss": 0.3036145567893982,
"eval_runtime": 271.0048,
"eval_samples_per_second": 7.694,
"eval_steps_per_second": 0.963,
"step": 2250
},
{
"epoch": 1.93,
"grad_norm": 0.5944371223449707,
"learning_rate": 8.186688725116187e-07,
"loss": 0.2343,
"step": 2260
},
{
"epoch": 1.94,
"grad_norm": 0.6346670389175415,
"learning_rate": 4.824398783867423e-07,
"loss": 0.2401,
"step": 2280
},
{
"epoch": 1.96,
"grad_norm": 0.6338953375816345,
"learning_rate": 2.3445026542239235e-07,
"loss": 0.2368,
"step": 2300
},
{
"epoch": 1.96,
"eval_loss": 0.3034871220588684,
"eval_runtime": 271.0599,
"eval_samples_per_second": 7.692,
"eval_steps_per_second": 0.963,
"step": 2300
}
],
"logging_steps": 20,
"max_steps": 2344,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 100,
"total_flos": 1.2020124951876895e+18,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}