nrvtrue's picture
Upload folder using huggingface_hub
506762b verified
{
"best_metric": 3.142681837081909,
"best_model_checkpoint": "supermarketNRVSMELOC/checkpoint-792",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 792,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04924242424242424,
"grad_norm": 6.067267894744873,
"learning_rate": 8.125000000000001e-06,
"loss": 3.7636,
"step": 13
},
{
"epoch": 0.09848484848484848,
"grad_norm": 4.615681171417236,
"learning_rate": 1.6250000000000002e-05,
"loss": 3.7539,
"step": 26
},
{
"epoch": 0.14772727272727273,
"grad_norm": 4.366635799407959,
"learning_rate": 2.4375e-05,
"loss": 3.7559,
"step": 39
},
{
"epoch": 0.19696969696969696,
"grad_norm": 6.396846294403076,
"learning_rate": 3.2500000000000004e-05,
"loss": 3.7443,
"step": 52
},
{
"epoch": 0.24621212121212122,
"grad_norm": 5.848783493041992,
"learning_rate": 4.0625000000000005e-05,
"loss": 3.7299,
"step": 65
},
{
"epoch": 0.29545454545454547,
"grad_norm": 3.787656784057617,
"learning_rate": 4.875e-05,
"loss": 3.718,
"step": 78
},
{
"epoch": 0.3446969696969697,
"grad_norm": 6.08660364151001,
"learning_rate": 4.9227528089887644e-05,
"loss": 3.6869,
"step": 91
},
{
"epoch": 0.3939393939393939,
"grad_norm": 4.681759357452393,
"learning_rate": 4.831460674157304e-05,
"loss": 3.6771,
"step": 104
},
{
"epoch": 0.4431818181818182,
"grad_norm": 5.893486499786377,
"learning_rate": 4.740168539325843e-05,
"loss": 3.6445,
"step": 117
},
{
"epoch": 0.49242424242424243,
"grad_norm": 6.639739513397217,
"learning_rate": 4.648876404494382e-05,
"loss": 3.6046,
"step": 130
},
{
"epoch": 0.5416666666666666,
"grad_norm": 5.436135292053223,
"learning_rate": 4.5575842696629217e-05,
"loss": 3.6118,
"step": 143
},
{
"epoch": 0.5909090909090909,
"grad_norm": 4.141537189483643,
"learning_rate": 4.4662921348314605e-05,
"loss": 3.6243,
"step": 156
},
{
"epoch": 0.6401515151515151,
"grad_norm": 7.079050540924072,
"learning_rate": 4.375e-05,
"loss": 3.5685,
"step": 169
},
{
"epoch": 0.6893939393939394,
"grad_norm": 5.841846942901611,
"learning_rate": 4.2837078651685394e-05,
"loss": 3.5209,
"step": 182
},
{
"epoch": 0.7386363636363636,
"grad_norm": 4.406051158905029,
"learning_rate": 4.192415730337079e-05,
"loss": 3.5112,
"step": 195
},
{
"epoch": 0.7878787878787878,
"grad_norm": 7.7401862144470215,
"learning_rate": 4.1011235955056184e-05,
"loss": 3.5028,
"step": 208
},
{
"epoch": 0.8371212121212122,
"grad_norm": 7.258950710296631,
"learning_rate": 4.009831460674158e-05,
"loss": 3.4542,
"step": 221
},
{
"epoch": 0.8863636363636364,
"grad_norm": 9.357794761657715,
"learning_rate": 3.918539325842697e-05,
"loss": 3.4528,
"step": 234
},
{
"epoch": 0.9356060606060606,
"grad_norm": 6.444118022918701,
"learning_rate": 3.827247191011236e-05,
"loss": 3.4161,
"step": 247
},
{
"epoch": 0.9848484848484849,
"grad_norm": 5.109555721282959,
"learning_rate": 3.735955056179776e-05,
"loss": 3.4052,
"step": 260
},
{
"epoch": 1.0,
"eval_accuracy": 0.20265151515151514,
"eval_f1_macro": 0.025505336473483867,
"eval_f1_micro": 0.20265151515151514,
"eval_f1_weighted": 0.08755512614736226,
"eval_loss": 3.434072256088257,
"eval_precision_macro": 0.037007570606101825,
"eval_precision_micro": 0.20265151515151514,
"eval_precision_weighted": 0.09952466920668675,
"eval_recall_macro": 0.05048996382408151,
"eval_recall_micro": 0.20265151515151514,
"eval_recall_weighted": 0.20265151515151514,
"eval_runtime": 56.3872,
"eval_samples_per_second": 9.364,
"eval_steps_per_second": 0.585,
"step": 264
},
{
"epoch": 1.0340909090909092,
"grad_norm": 27.62860679626465,
"learning_rate": 3.6446629213483145e-05,
"loss": 3.4113,
"step": 273
},
{
"epoch": 1.0833333333333333,
"grad_norm": 12.518967628479004,
"learning_rate": 3.553370786516854e-05,
"loss": 3.3479,
"step": 286
},
{
"epoch": 1.1325757575757576,
"grad_norm": 7.984549045562744,
"learning_rate": 3.4620786516853935e-05,
"loss": 3.3677,
"step": 299
},
{
"epoch": 1.1818181818181819,
"grad_norm": 8.635626792907715,
"learning_rate": 3.370786516853933e-05,
"loss": 3.3681,
"step": 312
},
{
"epoch": 1.231060606060606,
"grad_norm": 9.190679550170898,
"learning_rate": 3.2794943820224725e-05,
"loss": 3.4162,
"step": 325
},
{
"epoch": 1.2803030303030303,
"grad_norm": 6.9372663497924805,
"learning_rate": 3.188202247191011e-05,
"loss": 3.2836,
"step": 338
},
{
"epoch": 1.3295454545454546,
"grad_norm": 4.514989376068115,
"learning_rate": 3.096910112359551e-05,
"loss": 3.3598,
"step": 351
},
{
"epoch": 1.378787878787879,
"grad_norm": 6.12080717086792,
"learning_rate": 3.0056179775280903e-05,
"loss": 3.3846,
"step": 364
},
{
"epoch": 1.428030303030303,
"grad_norm": 5.432583332061768,
"learning_rate": 2.914325842696629e-05,
"loss": 3.18,
"step": 377
},
{
"epoch": 1.4772727272727273,
"grad_norm": 5.338773250579834,
"learning_rate": 2.8230337078651686e-05,
"loss": 3.2837,
"step": 390
},
{
"epoch": 1.5265151515151514,
"grad_norm": 15.422748565673828,
"learning_rate": 2.731741573033708e-05,
"loss": 3.1643,
"step": 403
},
{
"epoch": 1.5757575757575757,
"grad_norm": 5.844562530517578,
"learning_rate": 2.6404494382022472e-05,
"loss": 3.2549,
"step": 416
},
{
"epoch": 1.625,
"grad_norm": 9.893993377685547,
"learning_rate": 2.5491573033707867e-05,
"loss": 3.3227,
"step": 429
},
{
"epoch": 1.6742424242424243,
"grad_norm": 6.3434295654296875,
"learning_rate": 2.457865168539326e-05,
"loss": 3.1929,
"step": 442
},
{
"epoch": 1.7234848484848486,
"grad_norm": 7.492882251739502,
"learning_rate": 2.3665730337078653e-05,
"loss": 3.2937,
"step": 455
},
{
"epoch": 1.7727272727272727,
"grad_norm": 5.293882369995117,
"learning_rate": 2.2752808988764045e-05,
"loss": 3.2394,
"step": 468
},
{
"epoch": 1.821969696969697,
"grad_norm": 13.984901428222656,
"learning_rate": 2.183988764044944e-05,
"loss": 3.2516,
"step": 481
},
{
"epoch": 1.871212121212121,
"grad_norm": 6.005086421966553,
"learning_rate": 2.0926966292134835e-05,
"loss": 3.2613,
"step": 494
},
{
"epoch": 1.9204545454545454,
"grad_norm": 7.952373027801514,
"learning_rate": 2.0014044943820226e-05,
"loss": 3.2926,
"step": 507
},
{
"epoch": 1.9696969696969697,
"grad_norm": 7.9951043128967285,
"learning_rate": 1.9101123595505618e-05,
"loss": 3.1585,
"step": 520
},
{
"epoch": 2.0,
"eval_accuracy": 0.20454545454545456,
"eval_f1_macro": 0.02462602836447254,
"eval_f1_micro": 0.20454545454545456,
"eval_f1_weighted": 0.08562023329167062,
"eval_loss": 3.193603992462158,
"eval_precision_macro": 0.034878596742616244,
"eval_precision_micro": 0.20454545454545456,
"eval_precision_weighted": 0.09384124563573254,
"eval_recall_macro": 0.05068899317325554,
"eval_recall_micro": 0.20454545454545456,
"eval_recall_weighted": 0.20454545454545456,
"eval_runtime": 55.1855,
"eval_samples_per_second": 9.568,
"eval_steps_per_second": 0.598,
"step": 528
},
{
"epoch": 2.018939393939394,
"grad_norm": 11.740503311157227,
"learning_rate": 1.818820224719101e-05,
"loss": 3.2347,
"step": 533
},
{
"epoch": 2.0681818181818183,
"grad_norm": 5.635743618011475,
"learning_rate": 1.7275280898876404e-05,
"loss": 3.0835,
"step": 546
},
{
"epoch": 2.117424242424242,
"grad_norm": 11.321329116821289,
"learning_rate": 1.63623595505618e-05,
"loss": 3.1773,
"step": 559
},
{
"epoch": 2.1666666666666665,
"grad_norm": 12.002336502075195,
"learning_rate": 1.544943820224719e-05,
"loss": 3.2081,
"step": 572
},
{
"epoch": 2.215909090909091,
"grad_norm": 13.068202018737793,
"learning_rate": 1.4536516853932586e-05,
"loss": 3.1807,
"step": 585
},
{
"epoch": 2.265151515151515,
"grad_norm": 15.093032836914062,
"learning_rate": 1.3623595505617979e-05,
"loss": 3.1387,
"step": 598
},
{
"epoch": 2.3143939393939394,
"grad_norm": 9.244571685791016,
"learning_rate": 1.271067415730337e-05,
"loss": 3.3179,
"step": 611
},
{
"epoch": 2.3636363636363638,
"grad_norm": 13.117069244384766,
"learning_rate": 1.1797752808988765e-05,
"loss": 3.1844,
"step": 624
},
{
"epoch": 2.412878787878788,
"grad_norm": 8.456986427307129,
"learning_rate": 1.0884831460674158e-05,
"loss": 3.2497,
"step": 637
},
{
"epoch": 2.462121212121212,
"grad_norm": 6.265410423278809,
"learning_rate": 9.97191011235955e-06,
"loss": 3.2243,
"step": 650
},
{
"epoch": 2.5113636363636362,
"grad_norm": 11.483809471130371,
"learning_rate": 9.058988764044945e-06,
"loss": 3.1206,
"step": 663
},
{
"epoch": 2.5606060606060606,
"grad_norm": 16.1591796875,
"learning_rate": 8.146067415730338e-06,
"loss": 3.1371,
"step": 676
},
{
"epoch": 2.609848484848485,
"grad_norm": 9.152714729309082,
"learning_rate": 7.23314606741573e-06,
"loss": 3.1618,
"step": 689
},
{
"epoch": 2.659090909090909,
"grad_norm": 7.563583850860596,
"learning_rate": 6.320224719101124e-06,
"loss": 3.2177,
"step": 702
},
{
"epoch": 2.7083333333333335,
"grad_norm": 5.385344982147217,
"learning_rate": 5.407303370786517e-06,
"loss": 3.1986,
"step": 715
},
{
"epoch": 2.757575757575758,
"grad_norm": 6.828423500061035,
"learning_rate": 4.49438202247191e-06,
"loss": 3.1137,
"step": 728
},
{
"epoch": 2.8068181818181817,
"grad_norm": 8.450451850891113,
"learning_rate": 3.581460674157303e-06,
"loss": 3.2061,
"step": 741
},
{
"epoch": 2.856060606060606,
"grad_norm": 8.725029945373535,
"learning_rate": 2.6685393258426968e-06,
"loss": 3.0328,
"step": 754
},
{
"epoch": 2.9053030303030303,
"grad_norm": 6.6716694831848145,
"learning_rate": 1.7556179775280902e-06,
"loss": 3.045,
"step": 767
},
{
"epoch": 2.9545454545454546,
"grad_norm": 8.45450496673584,
"learning_rate": 8.426966292134832e-07,
"loss": 3.0927,
"step": 780
},
{
"epoch": 3.0,
"eval_accuracy": 0.20643939393939395,
"eval_f1_macro": 0.02830170335299915,
"eval_f1_micro": 0.20643939393939395,
"eval_f1_weighted": 0.09619191663674405,
"eval_loss": 3.142681837081909,
"eval_precision_macro": 0.03697093460585543,
"eval_precision_micro": 0.20643939393939395,
"eval_precision_weighted": 0.0998764466790715,
"eval_recall_macro": 0.05223286714505793,
"eval_recall_micro": 0.20643939393939395,
"eval_recall_weighted": 0.20643939393939395,
"eval_runtime": 55.8145,
"eval_samples_per_second": 9.46,
"eval_steps_per_second": 0.591,
"step": 792
}
],
"logging_steps": 13,
"max_steps": 792,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.01
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.3502825530667827e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}