PEFT
Safetensors
English
Spanish
nmarafo's picture
Upload 11 files
b971a88 verified
raw
history blame
14.8 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 8.113590263691684,
"eval_steps": 500,
"global_step": 1000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08,
"grad_norm": 16.835479736328125,
"learning_rate": 0.0002,
"loss": 3.766,
"step": 10
},
{
"epoch": 0.16,
"grad_norm": 15.441985130310059,
"learning_rate": 0.0002,
"loss": 1.4106,
"step": 20
},
{
"epoch": 0.24,
"grad_norm": 13.51206111907959,
"learning_rate": 0.0002,
"loss": 1.1355,
"step": 30
},
{
"epoch": 0.32,
"grad_norm": 14.920987129211426,
"learning_rate": 0.0002,
"loss": 0.9941,
"step": 40
},
{
"epoch": 0.41,
"grad_norm": 8.289106369018555,
"learning_rate": 0.0002,
"loss": 0.8887,
"step": 50
},
{
"epoch": 0.49,
"grad_norm": 8.003510475158691,
"learning_rate": 0.0002,
"loss": 0.8275,
"step": 60
},
{
"epoch": 0.57,
"grad_norm": 7.877600193023682,
"learning_rate": 0.0002,
"loss": 0.798,
"step": 70
},
{
"epoch": 0.65,
"grad_norm": 2.8833744525909424,
"learning_rate": 0.0002,
"loss": 0.8464,
"step": 80
},
{
"epoch": 0.73,
"grad_norm": 8.206995964050293,
"learning_rate": 0.0002,
"loss": 0.7849,
"step": 90
},
{
"epoch": 0.81,
"grad_norm": 7.678927421569824,
"learning_rate": 0.0002,
"loss": 0.7184,
"step": 100
},
{
"epoch": 0.89,
"grad_norm": 7.089763164520264,
"learning_rate": 0.0002,
"loss": 0.7099,
"step": 110
},
{
"epoch": 0.97,
"grad_norm": 5.643054485321045,
"learning_rate": 0.0002,
"loss": 0.6989,
"step": 120
},
{
"epoch": 1.05,
"grad_norm": 7.985189914703369,
"learning_rate": 0.0002,
"loss": 0.6394,
"step": 130
},
{
"epoch": 1.14,
"grad_norm": 7.676026344299316,
"learning_rate": 0.0002,
"loss": 0.5882,
"step": 140
},
{
"epoch": 1.22,
"grad_norm": 8.714900016784668,
"learning_rate": 0.0002,
"loss": 0.5707,
"step": 150
},
{
"epoch": 1.3,
"grad_norm": 5.221066474914551,
"learning_rate": 0.0002,
"loss": 0.5345,
"step": 160
},
{
"epoch": 1.38,
"grad_norm": 9.008663177490234,
"learning_rate": 0.0002,
"loss": 0.5568,
"step": 170
},
{
"epoch": 1.46,
"grad_norm": 6.81847620010376,
"learning_rate": 0.0002,
"loss": 0.5249,
"step": 180
},
{
"epoch": 1.54,
"grad_norm": 0.8458152413368225,
"learning_rate": 0.0002,
"loss": 0.491,
"step": 190
},
{
"epoch": 1.62,
"grad_norm": 7.401742935180664,
"learning_rate": 0.0002,
"loss": 0.514,
"step": 200
},
{
"epoch": 1.7,
"grad_norm": 7.641871452331543,
"learning_rate": 0.0002,
"loss": 0.5557,
"step": 210
},
{
"epoch": 1.78,
"grad_norm": 5.442512512207031,
"learning_rate": 0.0002,
"loss": 0.5314,
"step": 220
},
{
"epoch": 1.87,
"grad_norm": 8.104277610778809,
"learning_rate": 0.0002,
"loss": 0.4907,
"step": 230
},
{
"epoch": 1.95,
"grad_norm": 6.416436195373535,
"learning_rate": 0.0002,
"loss": 0.5092,
"step": 240
},
{
"epoch": 2.03,
"grad_norm": 3.008178949356079,
"learning_rate": 0.0002,
"loss": 0.4633,
"step": 250
},
{
"epoch": 2.11,
"grad_norm": 9.349288940429688,
"learning_rate": 0.0002,
"loss": 0.378,
"step": 260
},
{
"epoch": 2.19,
"grad_norm": 6.459526062011719,
"learning_rate": 0.0002,
"loss": 0.3765,
"step": 270
},
{
"epoch": 2.27,
"grad_norm": 7.634103775024414,
"learning_rate": 0.0002,
"loss": 0.3819,
"step": 280
},
{
"epoch": 2.35,
"grad_norm": 9.084547996520996,
"learning_rate": 0.0002,
"loss": 0.3703,
"step": 290
},
{
"epoch": 2.43,
"grad_norm": 2.535707473754883,
"learning_rate": 0.0002,
"loss": 0.3501,
"step": 300
},
{
"epoch": 2.52,
"grad_norm": 7.023160457611084,
"learning_rate": 0.0002,
"loss": 0.3491,
"step": 310
},
{
"epoch": 2.6,
"grad_norm": 9.15241527557373,
"learning_rate": 0.0002,
"loss": 0.3592,
"step": 320
},
{
"epoch": 2.68,
"grad_norm": 3.0726027488708496,
"learning_rate": 0.0002,
"loss": 0.3641,
"step": 330
},
{
"epoch": 2.76,
"grad_norm": 5.8857879638671875,
"learning_rate": 0.0002,
"loss": 0.3553,
"step": 340
},
{
"epoch": 2.84,
"grad_norm": 8.316734313964844,
"learning_rate": 0.0002,
"loss": 0.36,
"step": 350
},
{
"epoch": 2.92,
"grad_norm": 3.8568618297576904,
"learning_rate": 0.0002,
"loss": 0.3607,
"step": 360
},
{
"epoch": 3.0,
"grad_norm": 6.664178848266602,
"learning_rate": 0.0002,
"loss": 0.3716,
"step": 370
},
{
"epoch": 3.08,
"grad_norm": 9.07357406616211,
"learning_rate": 0.0002,
"loss": 0.242,
"step": 380
},
{
"epoch": 3.16,
"grad_norm": 4.3498921394348145,
"learning_rate": 0.0002,
"loss": 0.2588,
"step": 390
},
{
"epoch": 3.25,
"grad_norm": 6.539889812469482,
"learning_rate": 0.0002,
"loss": 0.2523,
"step": 400
},
{
"epoch": 3.33,
"grad_norm": 8.80722427368164,
"learning_rate": 0.0002,
"loss": 0.2388,
"step": 410
},
{
"epoch": 3.41,
"grad_norm": 5.052772521972656,
"learning_rate": 0.0002,
"loss": 0.2524,
"step": 420
},
{
"epoch": 3.49,
"grad_norm": 5.22416877746582,
"learning_rate": 0.0002,
"loss": 0.2452,
"step": 430
},
{
"epoch": 3.57,
"grad_norm": 8.989995956420898,
"learning_rate": 0.0002,
"loss": 0.2558,
"step": 440
},
{
"epoch": 3.65,
"grad_norm": 2.628777027130127,
"learning_rate": 0.0002,
"loss": 0.2449,
"step": 450
},
{
"epoch": 3.73,
"grad_norm": 5.890882968902588,
"learning_rate": 0.0002,
"loss": 0.2591,
"step": 460
},
{
"epoch": 3.81,
"grad_norm": 8.577589988708496,
"learning_rate": 0.0002,
"loss": 0.2557,
"step": 470
},
{
"epoch": 3.89,
"grad_norm": 5.092458724975586,
"learning_rate": 0.0002,
"loss": 0.2603,
"step": 480
},
{
"epoch": 3.98,
"grad_norm": 5.97870397567749,
"learning_rate": 0.0002,
"loss": 0.2676,
"step": 490
},
{
"epoch": 4.06,
"grad_norm": 8.259415626525879,
"learning_rate": 0.0002,
"loss": 0.2051,
"step": 500
},
{
"epoch": 4.14,
"grad_norm": 7.2230072021484375,
"learning_rate": 0.0002,
"loss": 0.1467,
"step": 510
},
{
"epoch": 4.22,
"grad_norm": 6.01918888092041,
"learning_rate": 0.0002,
"loss": 0.1713,
"step": 520
},
{
"epoch": 4.3,
"grad_norm": 8.41965103149414,
"learning_rate": 0.0002,
"loss": 0.1803,
"step": 530
},
{
"epoch": 4.38,
"grad_norm": 4.342984676361084,
"learning_rate": 0.0002,
"loss": 0.1769,
"step": 540
},
{
"epoch": 4.46,
"grad_norm": 6.167740821838379,
"learning_rate": 0.0002,
"loss": 0.1763,
"step": 550
},
{
"epoch": 4.54,
"grad_norm": 8.30461597442627,
"learning_rate": 0.0002,
"loss": 0.1716,
"step": 560
},
{
"epoch": 4.62,
"grad_norm": 3.77854323387146,
"learning_rate": 0.0002,
"loss": 0.1679,
"step": 570
},
{
"epoch": 4.71,
"grad_norm": 5.807821273803711,
"learning_rate": 0.0002,
"loss": 0.1775,
"step": 580
},
{
"epoch": 4.79,
"grad_norm": 7.620412349700928,
"learning_rate": 0.0002,
"loss": 0.1769,
"step": 590
},
{
"epoch": 4.87,
"grad_norm": 6.027496814727783,
"learning_rate": 0.0002,
"loss": 0.1828,
"step": 600
},
{
"epoch": 4.95,
"grad_norm": 5.835544109344482,
"learning_rate": 0.0002,
"loss": 0.1783,
"step": 610
},
{
"epoch": 5.03,
"grad_norm": 7.455280780792236,
"learning_rate": 0.0002,
"loss": 0.1545,
"step": 620
},
{
"epoch": 5.11,
"grad_norm": 3.6531035900115967,
"learning_rate": 0.0002,
"loss": 0.1213,
"step": 630
},
{
"epoch": 5.19,
"grad_norm": 6.005002498626709,
"learning_rate": 0.0002,
"loss": 0.1211,
"step": 640
},
{
"epoch": 5.27,
"grad_norm": 8.0129976272583,
"learning_rate": 0.0002,
"loss": 0.1268,
"step": 650
},
{
"epoch": 5.35,
"grad_norm": 4.5181169509887695,
"learning_rate": 0.0002,
"loss": 0.1215,
"step": 660
},
{
"epoch": 5.44,
"grad_norm": 5.109263896942139,
"learning_rate": 0.0002,
"loss": 0.1264,
"step": 670
},
{
"epoch": 5.52,
"grad_norm": 7.003955364227295,
"learning_rate": 0.0002,
"loss": 0.1332,
"step": 680
},
{
"epoch": 5.6,
"grad_norm": 4.416803359985352,
"learning_rate": 0.0002,
"loss": 0.1333,
"step": 690
},
{
"epoch": 5.68,
"grad_norm": 4.775448322296143,
"learning_rate": 0.0002,
"loss": 0.1384,
"step": 700
},
{
"epoch": 5.76,
"grad_norm": 6.8711018562316895,
"learning_rate": 0.0002,
"loss": 0.1388,
"step": 710
},
{
"epoch": 5.84,
"grad_norm": 4.3299760818481445,
"learning_rate": 0.0002,
"loss": 0.1392,
"step": 720
},
{
"epoch": 5.92,
"grad_norm": 4.7512006759643555,
"learning_rate": 0.0002,
"loss": 0.1477,
"step": 730
},
{
"epoch": 6.0,
"grad_norm": 6.701217174530029,
"learning_rate": 0.0002,
"loss": 0.1401,
"step": 740
},
{
"epoch": 6.09,
"grad_norm": 4.163561820983887,
"learning_rate": 0.0002,
"loss": 0.099,
"step": 750
},
{
"epoch": 6.17,
"grad_norm": 4.784251689910889,
"learning_rate": 0.0002,
"loss": 0.1025,
"step": 760
},
{
"epoch": 6.25,
"grad_norm": 7.253482341766357,
"learning_rate": 0.0002,
"loss": 0.1019,
"step": 770
},
{
"epoch": 6.33,
"grad_norm": 4.389810085296631,
"learning_rate": 0.0002,
"loss": 0.1052,
"step": 780
},
{
"epoch": 6.41,
"grad_norm": 4.857180595397949,
"learning_rate": 0.0002,
"loss": 0.1065,
"step": 790
},
{
"epoch": 6.49,
"grad_norm": 6.876203536987305,
"learning_rate": 0.0002,
"loss": 0.1092,
"step": 800
},
{
"epoch": 6.57,
"grad_norm": 4.4614715576171875,
"learning_rate": 0.0002,
"loss": 0.112,
"step": 810
},
{
"epoch": 6.65,
"grad_norm": 5.019026756286621,
"learning_rate": 0.0002,
"loss": 0.1127,
"step": 820
},
{
"epoch": 6.73,
"grad_norm": 6.864689350128174,
"learning_rate": 0.0002,
"loss": 0.1131,
"step": 830
},
{
"epoch": 6.82,
"grad_norm": 4.057292938232422,
"learning_rate": 0.0002,
"loss": 0.113,
"step": 840
},
{
"epoch": 6.9,
"grad_norm": 4.780605792999268,
"learning_rate": 0.0002,
"loss": 0.1122,
"step": 850
},
{
"epoch": 6.98,
"grad_norm": 6.377821445465088,
"learning_rate": 0.0002,
"loss": 0.1153,
"step": 860
},
{
"epoch": 7.06,
"grad_norm": 3.6482489109039307,
"learning_rate": 0.0002,
"loss": 0.0962,
"step": 870
},
{
"epoch": 7.14,
"grad_norm": 4.848484516143799,
"learning_rate": 0.0002,
"loss": 0.0892,
"step": 880
},
{
"epoch": 7.22,
"grad_norm": 6.297725677490234,
"learning_rate": 0.0002,
"loss": 0.0913,
"step": 890
},
{
"epoch": 7.3,
"grad_norm": 3.4698007106781006,
"learning_rate": 0.0002,
"loss": 0.0927,
"step": 900
},
{
"epoch": 7.38,
"grad_norm": 4.614325523376465,
"learning_rate": 0.0002,
"loss": 0.0933,
"step": 910
},
{
"epoch": 7.46,
"grad_norm": 6.8649163246154785,
"learning_rate": 0.0002,
"loss": 0.0951,
"step": 920
},
{
"epoch": 7.55,
"grad_norm": 3.5742478370666504,
"learning_rate": 0.0002,
"loss": 0.0975,
"step": 930
},
{
"epoch": 7.63,
"grad_norm": 4.66102409362793,
"learning_rate": 0.0002,
"loss": 0.0971,
"step": 940
},
{
"epoch": 7.71,
"grad_norm": 6.615488052368164,
"learning_rate": 0.0002,
"loss": 0.0992,
"step": 950
},
{
"epoch": 7.79,
"grad_norm": 4.218813419342041,
"learning_rate": 0.0002,
"loss": 0.1021,
"step": 960
},
{
"epoch": 7.87,
"grad_norm": 4.6225905418396,
"learning_rate": 0.0002,
"loss": 0.1012,
"step": 970
},
{
"epoch": 7.95,
"grad_norm": 6.005787372589111,
"learning_rate": 0.0002,
"loss": 0.1059,
"step": 980
},
{
"epoch": 8.03,
"grad_norm": 3.2653019428253174,
"learning_rate": 0.0002,
"loss": 0.0929,
"step": 990
},
{
"epoch": 8.11,
"grad_norm": 5.000682353973389,
"learning_rate": 0.0002,
"loss": 0.0787,
"step": 1000
}
],
"logging_steps": 10,
"max_steps": 1000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 10,
"total_flos": 1.9346683868368896e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}