GanymedeNil's picture
First model version
89ce1a9
{
"best_metric": 1.5639870166778564,
"best_model_checkpoint": "saves/Gemma-2B/lora/train_2024-03-01-04-36-32/checkpoint-800",
"epoch": 1.6,
"eval_steps": 100,
"global_step": 900,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"grad_norm": 6.6079277992248535,
"learning_rate": 4.999960939662063e-05,
"loss": 3.747,
"step": 10
},
{
"epoch": 0.04,
"grad_norm": 3.2283411026000977,
"learning_rate": 4.999843759868819e-05,
"loss": 3.5789,
"step": 20
},
{
"epoch": 0.05,
"grad_norm": 41.573001861572266,
"learning_rate": 4.999648464281934e-05,
"loss": 3.1683,
"step": 30
},
{
"epoch": 0.07,
"grad_norm": 4.080965518951416,
"learning_rate": 4.9993750590040575e-05,
"loss": 2.8275,
"step": 40
},
{
"epoch": 0.09,
"grad_norm": 4.576275825500488,
"learning_rate": 4.999023552578632e-05,
"loss": 2.6758,
"step": 50
},
{
"epoch": 0.11,
"grad_norm": 18.012842178344727,
"learning_rate": 4.998593955989626e-05,
"loss": 2.6287,
"step": 60
},
{
"epoch": 0.12,
"grad_norm": 5.738934516906738,
"learning_rate": 4.9980862826611875e-05,
"loss": 2.5284,
"step": 70
},
{
"epoch": 0.14,
"grad_norm": 3.353776216506958,
"learning_rate": 4.9975005484572305e-05,
"loss": 2.2608,
"step": 80
},
{
"epoch": 0.16,
"grad_norm": 4.6298699378967285,
"learning_rate": 4.9968367716809374e-05,
"loss": 2.2475,
"step": 90
},
{
"epoch": 0.18,
"grad_norm": 50.594207763671875,
"learning_rate": 4.996094973074183e-05,
"loss": 2.2007,
"step": 100
},
{
"epoch": 0.18,
"eval_loss": 2.126384735107422,
"eval_runtime": 124.9221,
"eval_samples_per_second": 8.005,
"eval_steps_per_second": 2.001,
"step": 100
},
{
"epoch": 0.2,
"grad_norm": 10.225520133972168,
"learning_rate": 4.995275175816891e-05,
"loss": 1.9414,
"step": 110
},
{
"epoch": 0.21,
"grad_norm": 4.777626991271973,
"learning_rate": 4.994377405526308e-05,
"loss": 1.9729,
"step": 120
},
{
"epoch": 0.23,
"grad_norm": 6.133576393127441,
"learning_rate": 4.993401690256203e-05,
"loss": 2.0237,
"step": 130
},
{
"epoch": 0.25,
"grad_norm": 5.396271228790283,
"learning_rate": 4.992348060495989e-05,
"loss": 2.009,
"step": 140
},
{
"epoch": 0.27,
"grad_norm": 3.4974453449249268,
"learning_rate": 4.991216549169776e-05,
"loss": 2.032,
"step": 150
},
{
"epoch": 0.28,
"grad_norm": 12.256199836730957,
"learning_rate": 4.990007191635334e-05,
"loss": 1.9548,
"step": 160
},
{
"epoch": 0.3,
"grad_norm": 7.5634379386901855,
"learning_rate": 4.988720025682995e-05,
"loss": 1.8164,
"step": 170
},
{
"epoch": 0.32,
"grad_norm": 14.023727416992188,
"learning_rate": 4.987355091534468e-05,
"loss": 1.8517,
"step": 180
},
{
"epoch": 0.34,
"grad_norm": 4.622091293334961,
"learning_rate": 4.985912431841584e-05,
"loss": 2.0255,
"step": 190
},
{
"epoch": 0.36,
"grad_norm": 3.9935083389282227,
"learning_rate": 4.9843920916849645e-05,
"loss": 1.8777,
"step": 200
},
{
"epoch": 0.36,
"eval_loss": 1.8619400262832642,
"eval_runtime": 124.8712,
"eval_samples_per_second": 8.008,
"eval_steps_per_second": 2.002,
"step": 200
},
{
"epoch": 0.37,
"grad_norm": 6.256485939025879,
"learning_rate": 4.982794118572609e-05,
"loss": 1.8885,
"step": 210
},
{
"epoch": 0.39,
"grad_norm": 13.212824821472168,
"learning_rate": 4.981118562438414e-05,
"loss": 1.7744,
"step": 220
},
{
"epoch": 0.41,
"grad_norm": 4.2626118659973145,
"learning_rate": 4.9793654756406085e-05,
"loss": 1.7545,
"step": 230
},
{
"epoch": 0.43,
"grad_norm": 4.217405796051025,
"learning_rate": 4.9775349129601243e-05,
"loss": 1.5633,
"step": 240
},
{
"epoch": 0.44,
"grad_norm": 22.393404006958008,
"learning_rate": 4.9756269315988804e-05,
"loss": 1.8871,
"step": 250
},
{
"epoch": 0.46,
"grad_norm": 3.6576473712921143,
"learning_rate": 4.973641591177991e-05,
"loss": 1.7037,
"step": 260
},
{
"epoch": 0.48,
"grad_norm": 4.2433271408081055,
"learning_rate": 4.971578953735912e-05,
"loss": 1.7631,
"step": 270
},
{
"epoch": 0.5,
"grad_norm": 3.7399721145629883,
"learning_rate": 4.969439083726496e-05,
"loss": 1.7714,
"step": 280
},
{
"epoch": 0.52,
"grad_norm": 4.575680255889893,
"learning_rate": 4.967222048016979e-05,
"loss": 1.8699,
"step": 290
},
{
"epoch": 0.53,
"grad_norm": 7.729683876037598,
"learning_rate": 4.964927915885893e-05,
"loss": 1.6566,
"step": 300
},
{
"epoch": 0.53,
"eval_loss": 1.7350378036499023,
"eval_runtime": 124.9278,
"eval_samples_per_second": 8.005,
"eval_steps_per_second": 2.001,
"step": 300
},
{
"epoch": 0.55,
"grad_norm": 2.755899667739868,
"learning_rate": 4.962556759020898e-05,
"loss": 1.7193,
"step": 310
},
{
"epoch": 0.57,
"grad_norm": 3.513024091720581,
"learning_rate": 4.960108651516545e-05,
"loss": 1.852,
"step": 320
},
{
"epoch": 0.59,
"grad_norm": 3.7794790267944336,
"learning_rate": 4.9575836698719605e-05,
"loss": 1.6785,
"step": 330
},
{
"epoch": 0.6,
"grad_norm": 3.2256739139556885,
"learning_rate": 4.954981892988451e-05,
"loss": 1.6648,
"step": 340
},
{
"epoch": 0.62,
"grad_norm": 2.8756954669952393,
"learning_rate": 4.952303402167047e-05,
"loss": 1.6399,
"step": 350
},
{
"epoch": 0.64,
"grad_norm": 7.057961463928223,
"learning_rate": 4.949548281105951e-05,
"loss": 1.5875,
"step": 360
},
{
"epoch": 0.66,
"grad_norm": 4.63081169128418,
"learning_rate": 4.946716615897932e-05,
"loss": 1.6708,
"step": 370
},
{
"epoch": 0.68,
"grad_norm": 8.755204200744629,
"learning_rate": 4.943808495027631e-05,
"loss": 1.636,
"step": 380
},
{
"epoch": 0.69,
"grad_norm": 10.21866226196289,
"learning_rate": 4.940824009368793e-05,
"loss": 1.5714,
"step": 390
},
{
"epoch": 0.71,
"grad_norm": 5.44133186340332,
"learning_rate": 4.937763252181434e-05,
"loss": 1.4084,
"step": 400
},
{
"epoch": 0.71,
"eval_loss": 1.6840696334838867,
"eval_runtime": 124.8851,
"eval_samples_per_second": 8.007,
"eval_steps_per_second": 2.002,
"step": 400
},
{
"epoch": 0.73,
"grad_norm": 3.056345224380493,
"learning_rate": 4.934626319108923e-05,
"loss": 1.7233,
"step": 410
},
{
"epoch": 0.75,
"grad_norm": 4.303133487701416,
"learning_rate": 4.93141330817499e-05,
"loss": 1.5374,
"step": 420
},
{
"epoch": 0.76,
"grad_norm": 5.2246623039245605,
"learning_rate": 4.9281243197806726e-05,
"loss": 1.8547,
"step": 430
},
{
"epoch": 0.78,
"grad_norm": 3.8070685863494873,
"learning_rate": 4.924759456701167e-05,
"loss": 1.5721,
"step": 440
},
{
"epoch": 0.8,
"grad_norm": 3.243337392807007,
"learning_rate": 4.9213188240826245e-05,
"loss": 1.4322,
"step": 450
},
{
"epoch": 0.82,
"grad_norm": 4.166132926940918,
"learning_rate": 4.917802529438864e-05,
"loss": 1.6621,
"step": 460
},
{
"epoch": 0.84,
"grad_norm": 4.54414701461792,
"learning_rate": 4.9142106826480114e-05,
"loss": 1.6088,
"step": 470
},
{
"epoch": 0.85,
"grad_norm": 9.983458518981934,
"learning_rate": 4.910543395949067e-05,
"loss": 1.6152,
"step": 480
},
{
"epoch": 0.87,
"grad_norm": 6.45111608505249,
"learning_rate": 4.9068007839383946e-05,
"loss": 1.6361,
"step": 490
},
{
"epoch": 0.89,
"grad_norm": 108.82310485839844,
"learning_rate": 4.9029829635661475e-05,
"loss": 1.7045,
"step": 500
},
{
"epoch": 0.89,
"eval_loss": 1.6494970321655273,
"eval_runtime": 124.6904,
"eval_samples_per_second": 8.02,
"eval_steps_per_second": 2.005,
"step": 500
},
{
"epoch": 0.91,
"grad_norm": 5.705786228179932,
"learning_rate": 4.899090054132609e-05,
"loss": 1.738,
"step": 510
},
{
"epoch": 0.92,
"grad_norm": 4.800131320953369,
"learning_rate": 4.895122177284465e-05,
"loss": 1.6218,
"step": 520
},
{
"epoch": 0.94,
"grad_norm": 10.11057186126709,
"learning_rate": 4.891079457011005e-05,
"loss": 1.5169,
"step": 530
},
{
"epoch": 0.96,
"grad_norm": 9.329095840454102,
"learning_rate": 4.8869620196402436e-05,
"loss": 1.7979,
"step": 540
},
{
"epoch": 0.98,
"grad_norm": 3.9115641117095947,
"learning_rate": 4.882769993834978e-05,
"loss": 1.7073,
"step": 550
},
{
"epoch": 1.0,
"grad_norm": 4.80266809463501,
"learning_rate": 4.878503510588765e-05,
"loss": 1.6541,
"step": 560
},
{
"epoch": 1.01,
"grad_norm": 9.07653522491455,
"learning_rate": 4.874162703221823e-05,
"loss": 1.6888,
"step": 570
},
{
"epoch": 1.03,
"grad_norm": 4.492751598358154,
"learning_rate": 4.8697477073768766e-05,
"loss": 1.6448,
"step": 580
},
{
"epoch": 1.05,
"grad_norm": 13.852599143981934,
"learning_rate": 4.8652586610149095e-05,
"loss": 1.6236,
"step": 590
},
{
"epoch": 1.07,
"grad_norm": 5.424524307250977,
"learning_rate": 4.8606957044108556e-05,
"loss": 1.4969,
"step": 600
},
{
"epoch": 1.07,
"eval_loss": 1.6121476888656616,
"eval_runtime": 124.7413,
"eval_samples_per_second": 8.017,
"eval_steps_per_second": 2.004,
"step": 600
},
{
"epoch": 1.08,
"grad_norm": 3.611617088317871,
"learning_rate": 4.856058980149216e-05,
"loss": 1.4571,
"step": 610
},
{
"epoch": 1.1,
"grad_norm": 4.210519313812256,
"learning_rate": 4.851348633119606e-05,
"loss": 1.63,
"step": 620
},
{
"epoch": 1.12,
"grad_norm": 95.43629455566406,
"learning_rate": 4.84656481051222e-05,
"loss": 1.6034,
"step": 630
},
{
"epoch": 1.14,
"grad_norm": 4.3693528175354,
"learning_rate": 4.8417076618132426e-05,
"loss": 1.5791,
"step": 640
},
{
"epoch": 1.16,
"grad_norm": 3.691178321838379,
"learning_rate": 4.836777338800168e-05,
"loss": 1.5327,
"step": 650
},
{
"epoch": 1.17,
"grad_norm": 3.547637939453125,
"learning_rate": 4.8317739955370636e-05,
"loss": 1.4278,
"step": 660
},
{
"epoch": 1.19,
"grad_norm": 3.426717519760132,
"learning_rate": 4.8266977883697515e-05,
"loss": 1.5317,
"step": 670
},
{
"epoch": 1.21,
"grad_norm": 3.004473924636841,
"learning_rate": 4.821548875920927e-05,
"loss": 1.6848,
"step": 680
},
{
"epoch": 1.23,
"grad_norm": 3.686044931411743,
"learning_rate": 4.816327419085196e-05,
"loss": 1.6079,
"step": 690
},
{
"epoch": 1.24,
"grad_norm": 4.130298137664795,
"learning_rate": 4.811033581024056e-05,
"loss": 1.5998,
"step": 700
},
{
"epoch": 1.24,
"eval_loss": 1.5970302820205688,
"eval_runtime": 124.9388,
"eval_samples_per_second": 8.004,
"eval_steps_per_second": 2.001,
"step": 700
},
{
"epoch": 1.26,
"grad_norm": 6.1143059730529785,
"learning_rate": 4.805667527160788e-05,
"loss": 1.554,
"step": 710
},
{
"epoch": 1.28,
"grad_norm": 31.27813148498535,
"learning_rate": 4.800229425175294e-05,
"loss": 1.5824,
"step": 720
},
{
"epoch": 1.3,
"grad_norm": 9.035768508911133,
"learning_rate": 4.7947194449988555e-05,
"loss": 1.547,
"step": 730
},
{
"epoch": 1.32,
"grad_norm": 39.38993835449219,
"learning_rate": 4.7891377588088223e-05,
"loss": 1.5795,
"step": 740
},
{
"epoch": 1.33,
"grad_norm": 7.738800048828125,
"learning_rate": 4.7834845410232356e-05,
"loss": 1.5761,
"step": 750
},
{
"epoch": 1.35,
"grad_norm": 3.3933961391448975,
"learning_rate": 4.777759968295369e-05,
"loss": 1.6293,
"step": 760
},
{
"epoch": 1.37,
"grad_norm": 4.511744022369385,
"learning_rate": 4.771964219508222e-05,
"loss": 1.4761,
"step": 770
},
{
"epoch": 1.39,
"grad_norm": 3.566397190093994,
"learning_rate": 4.766097475768919e-05,
"loss": 1.5707,
"step": 780
},
{
"epoch": 1.4,
"grad_norm": 9.365654945373535,
"learning_rate": 4.7601599204030544e-05,
"loss": 1.3932,
"step": 790
},
{
"epoch": 1.42,
"grad_norm": 3.3254847526550293,
"learning_rate": 4.754151738948962e-05,
"loss": 1.6041,
"step": 800
},
{
"epoch": 1.42,
"eval_loss": 1.5639870166778564,
"eval_runtime": 124.923,
"eval_samples_per_second": 8.005,
"eval_steps_per_second": 2.001,
"step": 800
},
{
"epoch": 1.44,
"grad_norm": 3.520264148712158,
"learning_rate": 4.7480731191519224e-05,
"loss": 1.4991,
"step": 810
},
{
"epoch": 1.46,
"grad_norm": 5.3987531661987305,
"learning_rate": 4.741924250958289e-05,
"loss": 1.6856,
"step": 820
},
{
"epoch": 1.48,
"grad_norm": 12.352794647216797,
"learning_rate": 4.7357053265095575e-05,
"loss": 1.4509,
"step": 830
},
{
"epoch": 1.49,
"grad_norm": 9.825531005859375,
"learning_rate": 4.729416540136361e-05,
"loss": 1.6168,
"step": 840
},
{
"epoch": 1.51,
"grad_norm": 10.881526947021484,
"learning_rate": 4.723058088352395e-05,
"loss": 1.5783,
"step": 850
},
{
"epoch": 1.53,
"grad_norm": 6.232407093048096,
"learning_rate": 4.7166301698482815e-05,
"loss": 1.4556,
"step": 860
},
{
"epoch": 1.55,
"grad_norm": 3.3216302394866943,
"learning_rate": 4.710132985485355e-05,
"loss": 1.593,
"step": 870
},
{
"epoch": 1.56,
"grad_norm": 5.219264984130859,
"learning_rate": 4.703566738289389e-05,
"loss": 1.5131,
"step": 880
},
{
"epoch": 1.58,
"grad_norm": 7.875769138336182,
"learning_rate": 4.696931633444251e-05,
"loss": 1.5667,
"step": 890
},
{
"epoch": 1.6,
"grad_norm": 5.77959680557251,
"learning_rate": 4.69022787828549e-05,
"loss": 1.5211,
"step": 900
},
{
"epoch": 1.6,
"eval_loss": 1.5731443166732788,
"eval_runtime": 124.8025,
"eval_samples_per_second": 8.013,
"eval_steps_per_second": 2.003,
"step": 900
}
],
"logging_steps": 10,
"max_steps": 5620,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 100,
"total_flos": 7.080392918182134e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}