CodeGenLLM2Vec_checkpoint4800 / trainer_state.json
Denis641's picture
Upload 12 files
06622b6 verified
raw
history blame
10.4 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.3679890560875512,
"eval_steps": 500,
"global_step": 3000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.022799817601459188,
"grad_norm": 0.765625,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.2602,
"step": 50
},
{
"epoch": 0.045599635202918376,
"grad_norm": 0.546875,
"learning_rate": 6.666666666666667e-05,
"loss": 0.1504,
"step": 100
},
{
"epoch": 0.06839945280437756,
"grad_norm": 0.44140625,
"learning_rate": 0.0001,
"loss": 0.137,
"step": 150
},
{
"epoch": 0.09119927040583675,
"grad_norm": 0.5390625,
"learning_rate": 0.00013333333333333334,
"loss": 0.1296,
"step": 200
},
{
"epoch": 0.11399908800729594,
"grad_norm": 0.84765625,
"learning_rate": 0.0001666666666666667,
"loss": 0.1308,
"step": 250
},
{
"epoch": 0.13679890560875513,
"grad_norm": 0.376953125,
"learning_rate": 0.0002,
"loss": 0.0811,
"step": 300
},
{
"epoch": 0.15959872321021432,
"grad_norm": 0.439453125,
"learning_rate": 0.00019988560970029743,
"loss": 0.0842,
"step": 350
},
{
"epoch": 0.1823985408116735,
"grad_norm": 0.5,
"learning_rate": 0.00019977121940059484,
"loss": 0.0772,
"step": 400
},
{
"epoch": 0.2051983584131327,
"grad_norm": 0.44921875,
"learning_rate": 0.00019965682910089226,
"loss": 0.0799,
"step": 450
},
{
"epoch": 0.22799817601459188,
"grad_norm": 0.5078125,
"learning_rate": 0.00019954243880118967,
"loss": 0.0733,
"step": 500
},
{
"epoch": 0.2507979936160511,
"grad_norm": 0.4140625,
"learning_rate": 0.0001994280485014871,
"loss": 0.1053,
"step": 550
},
{
"epoch": 0.27359781121751026,
"grad_norm": 0.431640625,
"learning_rate": 0.00019931365820178448,
"loss": 0.0868,
"step": 600
},
{
"epoch": 0.29639762881896947,
"grad_norm": 0.87109375,
"learning_rate": 0.00019919926790208192,
"loss": 0.0824,
"step": 650
},
{
"epoch": 0.31919744642042863,
"grad_norm": 1.0390625,
"learning_rate": 0.00019908487760237934,
"loss": 0.0667,
"step": 700
},
{
"epoch": 0.34199726402188785,
"grad_norm": 0.8671875,
"learning_rate": 0.00019897048730267673,
"loss": 0.0742,
"step": 750
},
{
"epoch": 0.364797081623347,
"grad_norm": 0.5703125,
"learning_rate": 0.00019885609700297417,
"loss": 0.0815,
"step": 800
},
{
"epoch": 0.3875968992248062,
"grad_norm": 0.8203125,
"learning_rate": 0.00019874170670327156,
"loss": 0.0695,
"step": 850
},
{
"epoch": 0.4103967168262654,
"grad_norm": 0.56640625,
"learning_rate": 0.000198627316403569,
"loss": 0.0564,
"step": 900
},
{
"epoch": 0.4331965344277246,
"grad_norm": 0.427734375,
"learning_rate": 0.0001985129261038664,
"loss": 0.051,
"step": 950
},
{
"epoch": 0.45599635202918376,
"grad_norm": 0.83203125,
"learning_rate": 0.0001983985358041638,
"loss": 0.0745,
"step": 1000
},
{
"epoch": 0.478796169630643,
"grad_norm": 0.625,
"learning_rate": 0.00019828414550446125,
"loss": 0.0949,
"step": 1050
},
{
"epoch": 0.5015959872321022,
"grad_norm": 0.337890625,
"learning_rate": 0.00019816975520475864,
"loss": 0.1331,
"step": 1100
},
{
"epoch": 0.5243958048335613,
"grad_norm": 0.828125,
"learning_rate": 0.00019805536490505606,
"loss": 0.1326,
"step": 1150
},
{
"epoch": 0.5471956224350205,
"grad_norm": 0.78515625,
"learning_rate": 0.00019794097460535347,
"loss": 0.1135,
"step": 1200
},
{
"epoch": 0.5699954400364797,
"grad_norm": 0.66015625,
"learning_rate": 0.0001978265843056509,
"loss": 0.1085,
"step": 1250
},
{
"epoch": 0.5927952576379389,
"grad_norm": 0.625,
"learning_rate": 0.0001977121940059483,
"loss": 0.1347,
"step": 1300
},
{
"epoch": 0.615595075239398,
"grad_norm": 0.73828125,
"learning_rate": 0.00019759780370624572,
"loss": 0.102,
"step": 1350
},
{
"epoch": 0.6383948928408573,
"grad_norm": 0.578125,
"learning_rate": 0.00019748341340654314,
"loss": 0.0991,
"step": 1400
},
{
"epoch": 0.6611947104423165,
"grad_norm": 0.25390625,
"learning_rate": 0.00019736902310684055,
"loss": 0.1125,
"step": 1450
},
{
"epoch": 0.6839945280437757,
"grad_norm": 0.87109375,
"learning_rate": 0.00019725463280713797,
"loss": 0.1183,
"step": 1500
},
{
"epoch": 0.7067943456452348,
"grad_norm": 0.734375,
"learning_rate": 0.00019714024250743536,
"loss": 0.105,
"step": 1550
},
{
"epoch": 0.729594163246694,
"grad_norm": 0.49609375,
"learning_rate": 0.0001970258522077328,
"loss": 0.1315,
"step": 1600
},
{
"epoch": 0.7523939808481532,
"grad_norm": 0.59765625,
"learning_rate": 0.00019691146190803022,
"loss": 0.1133,
"step": 1650
},
{
"epoch": 0.7751937984496124,
"grad_norm": 0.6484375,
"learning_rate": 0.00019679707160832763,
"loss": 0.1111,
"step": 1700
},
{
"epoch": 0.7979936160510716,
"grad_norm": 0.671875,
"learning_rate": 0.00019668268130862505,
"loss": 0.1277,
"step": 1750
},
{
"epoch": 0.8207934336525308,
"grad_norm": 0.392578125,
"learning_rate": 0.00019656829100892244,
"loss": 0.1145,
"step": 1800
},
{
"epoch": 0.84359325125399,
"grad_norm": 0.63671875,
"learning_rate": 0.00019645390070921988,
"loss": 0.1144,
"step": 1850
},
{
"epoch": 0.8663930688554492,
"grad_norm": 0.69921875,
"learning_rate": 0.00019633951040951727,
"loss": 0.0995,
"step": 1900
},
{
"epoch": 0.8891928864569083,
"grad_norm": 0.8984375,
"learning_rate": 0.00019622512010981468,
"loss": 0.0972,
"step": 1950
},
{
"epoch": 0.9119927040583675,
"grad_norm": 0.306640625,
"learning_rate": 0.00019611072981011213,
"loss": 0.105,
"step": 2000
},
{
"epoch": 0.9347925216598267,
"grad_norm": 0.419921875,
"learning_rate": 0.00019599633951040952,
"loss": 0.1285,
"step": 2050
},
{
"epoch": 0.957592339261286,
"grad_norm": 0.52734375,
"learning_rate": 0.00019588194921070696,
"loss": 0.1059,
"step": 2100
},
{
"epoch": 0.9803921568627451,
"grad_norm": 0.79296875,
"learning_rate": 0.00019576755891100435,
"loss": 0.1013,
"step": 2150
},
{
"epoch": 1.0031919744642044,
"grad_norm": 0.55078125,
"learning_rate": 0.00019565316861130177,
"loss": 0.0989,
"step": 2200
},
{
"epoch": 1.0259917920656634,
"grad_norm": 0.84765625,
"learning_rate": 0.00019553877831159918,
"loss": 0.1024,
"step": 2250
},
{
"epoch": 1.0487916096671226,
"grad_norm": 0.439453125,
"learning_rate": 0.0001954243880118966,
"loss": 0.0818,
"step": 2300
},
{
"epoch": 1.0715914272685818,
"grad_norm": 0.59765625,
"learning_rate": 0.000195309997712194,
"loss": 0.0847,
"step": 2350
},
{
"epoch": 1.094391244870041,
"grad_norm": 0.6640625,
"learning_rate": 0.00019519560741249143,
"loss": 0.0817,
"step": 2400
},
{
"epoch": 1.1171910624715002,
"grad_norm": 0.61328125,
"learning_rate": 0.00019508121711278885,
"loss": 0.0742,
"step": 2450
},
{
"epoch": 1.1399908800729595,
"grad_norm": 0.2265625,
"learning_rate": 0.00019496682681308626,
"loss": 0.0493,
"step": 2500
},
{
"epoch": 1.1627906976744187,
"grad_norm": 0.4765625,
"learning_rate": 0.00019485243651338368,
"loss": 0.049,
"step": 2550
},
{
"epoch": 1.1855905152758779,
"grad_norm": 0.451171875,
"learning_rate": 0.0001947380462136811,
"loss": 0.04,
"step": 2600
},
{
"epoch": 1.2083903328773369,
"grad_norm": 0.39453125,
"learning_rate": 0.0001946236559139785,
"loss": 0.0446,
"step": 2650
},
{
"epoch": 1.231190150478796,
"grad_norm": 0.5546875,
"learning_rate": 0.00019450926561427593,
"loss": 0.0398,
"step": 2700
},
{
"epoch": 1.2539899680802553,
"grad_norm": 0.353515625,
"learning_rate": 0.00019439487531457334,
"loss": 0.0547,
"step": 2750
},
{
"epoch": 1.2767897856817145,
"grad_norm": 0.83203125,
"learning_rate": 0.00019428048501487076,
"loss": 0.0503,
"step": 2800
},
{
"epoch": 1.2995896032831737,
"grad_norm": 0.328125,
"learning_rate": 0.00019416609471516815,
"loss": 0.0378,
"step": 2850
},
{
"epoch": 1.322389420884633,
"grad_norm": 0.54296875,
"learning_rate": 0.0001940517044154656,
"loss": 0.04,
"step": 2900
},
{
"epoch": 1.3451892384860922,
"grad_norm": 0.82421875,
"learning_rate": 0.00019393731411576298,
"loss": 0.0362,
"step": 2950
},
{
"epoch": 1.3679890560875512,
"grad_norm": 1.7890625,
"learning_rate": 0.0001938229238160604,
"loss": 0.0445,
"step": 3000
}
],
"logging_steps": 50,
"max_steps": 87720,
"num_input_tokens_seen": 0,
"num_train_epochs": 40,
"save_steps": 200,
"total_flos": 0.0,
"train_batch_size": 128,
"trial_name": null,
"trial_params": null
}