xshubhamx's picture
Upload folder using huggingface_hub
a9c6270 verified
raw
history blame
13.6 kB
{
"best_metric": 0.7706785605409691,
"best_model_checkpoint": "xlnet-base-cased/checkpoint-7716",
"epoch": 13.0,
"eval_steps": 500,
"global_step": 8359,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.78,
"learning_rate": 4.871695178849145e-05,
"loss": 1.2613,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7676219984508134,
"eval_f1_macro": 0.4818756771742453,
"eval_f1_micro": 0.7676219984508135,
"eval_f1_weighted": 0.7524385212708887,
"eval_loss": 0.775787353515625,
"eval_macro_fpr": 0.022019799606126652,
"eval_macro_sensitivity": 0.5128622254580788,
"eval_macro_specificity": 0.9823717840367622,
"eval_precision": 0.7672637518290021,
"eval_precision_macro": 0.5269420024270713,
"eval_recall": 0.7676219984508134,
"eval_recall_macro": 0.5128622254580788,
"eval_runtime": 65.0712,
"eval_samples_per_second": 19.84,
"eval_steps_per_second": 2.49,
"eval_weighted_fpr": 0.021165514321998025,
"eval_weighted_sensitivity": 0.7676219984508134,
"eval_weighted_specificity": 0.9679547621006213,
"step": 643
},
{
"epoch": 1.56,
"learning_rate": 4.7420943494038366e-05,
"loss": 0.7364,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.8071262587141751,
"eval_f1_macro": 0.701878478303997,
"eval_f1_micro": 0.8071262587141751,
"eval_f1_weighted": 0.8012788916547595,
"eval_loss": 0.6754755973815918,
"eval_macro_fpr": 0.01739858713969909,
"eval_macro_sensitivity": 0.6971761972643127,
"eval_macro_specificity": 0.9854830758512745,
"eval_precision": 0.8087721671110009,
"eval_precision_macro": 0.7425135911700289,
"eval_recall": 0.8071262587141751,
"eval_recall_macro": 0.6971761972643127,
"eval_runtime": 86.774,
"eval_samples_per_second": 14.878,
"eval_steps_per_second": 1.867,
"eval_weighted_fpr": 0.016782368403316036,
"eval_weighted_sensitivity": 0.8071262587141751,
"eval_weighted_specificity": 0.9751198790549438,
"step": 1286
},
{
"epoch": 2.33,
"learning_rate": 4.612493519958528e-05,
"loss": 0.6021,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.8063516653756778,
"eval_f1_macro": 0.722931923188587,
"eval_f1_micro": 0.8063516653756778,
"eval_f1_weighted": 0.8013697737227732,
"eval_loss": 0.8442708253860474,
"eval_macro_fpr": 0.01757802934678216,
"eval_macro_sensitivity": 0.7262014539622089,
"eval_macro_specificity": 0.9852110484486459,
"eval_precision": 0.8016312862866737,
"eval_precision_macro": 0.7269969408457856,
"eval_recall": 0.8063516653756778,
"eval_recall_macro": 0.7262014539622089,
"eval_runtime": 89.8454,
"eval_samples_per_second": 14.369,
"eval_steps_per_second": 1.803,
"eval_weighted_fpr": 0.01686454398273071,
"eval_weighted_sensitivity": 0.8063516653756778,
"eval_weighted_specificity": 0.9718140613540133,
"step": 1929
},
{
"epoch": 3.11,
"learning_rate": 4.4828926905132196e-05,
"loss": 0.5435,
"step": 2000
},
{
"epoch": 3.89,
"learning_rate": 4.353551062726802e-05,
"loss": 0.4361,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.8001549186676995,
"eval_f1_macro": 0.7051095861561788,
"eval_f1_micro": 0.8001549186676995,
"eval_f1_weighted": 0.7970808578587494,
"eval_loss": 0.8849796056747437,
"eval_macro_fpr": 0.017973543700983616,
"eval_macro_sensitivity": 0.704754303632947,
"eval_macro_specificity": 0.984883284344937,
"eval_precision": 0.8001040615771999,
"eval_precision_macro": 0.716655759638538,
"eval_recall": 0.8001549186676995,
"eval_recall_macro": 0.704754303632947,
"eval_runtime": 88.029,
"eval_samples_per_second": 14.666,
"eval_steps_per_second": 1.84,
"eval_weighted_fpr": 0.017527173913043478,
"eval_weighted_sensitivity": 0.8001549186676995,
"eval_weighted_specificity": 0.9730943465063553,
"step": 2572
},
{
"epoch": 4.67,
"learning_rate": 4.223950233281493e-05,
"loss": 0.3359,
"step": 3000
},
{
"epoch": 5.0,
"eval_accuracy": 0.801704105344694,
"eval_f1_macro": 0.6458763793901992,
"eval_f1_micro": 0.801704105344694,
"eval_f1_weighted": 0.7961730342415405,
"eval_loss": 1.126444935798645,
"eval_macro_fpr": 0.01805997413754306,
"eval_macro_sensitivity": 0.6681366041180199,
"eval_macro_specificity": 0.9849908327913178,
"eval_precision": 0.7981459541145973,
"eval_precision_macro": 0.6531140613829887,
"eval_recall": 0.801704105344694,
"eval_recall_macro": 0.6681366041180199,
"eval_runtime": 90.8127,
"eval_samples_per_second": 14.216,
"eval_steps_per_second": 1.784,
"eval_weighted_fpr": 0.0173606401736064,
"eval_weighted_sensitivity": 0.801704105344694,
"eval_weighted_specificity": 0.973158386525071,
"step": 3215
},
{
"epoch": 5.44,
"learning_rate": 4.0943494038361847e-05,
"loss": 0.2827,
"step": 3500
},
{
"epoch": 6.0,
"eval_accuracy": 0.7993803253292022,
"eval_f1_macro": 0.7042383323872946,
"eval_f1_micro": 0.7993803253292022,
"eval_f1_weighted": 0.7951558065494785,
"eval_loss": 1.1471006870269775,
"eval_macro_fpr": 0.01833120632003448,
"eval_macro_sensitivity": 0.692160115457962,
"eval_macro_specificity": 0.9845339432297603,
"eval_precision": 0.8091520232110664,
"eval_precision_macro": 0.7389074945114087,
"eval_recall": 0.7993803253292022,
"eval_recall_macro": 0.692160115457962,
"eval_runtime": 89.506,
"eval_samples_per_second": 14.424,
"eval_steps_per_second": 1.81,
"eval_weighted_fpr": 0.017610661589719183,
"eval_weighted_sensitivity": 0.7993803253292022,
"eval_weighted_specificity": 0.9686288231172028,
"step": 3858
},
{
"epoch": 6.22,
"learning_rate": 3.964748574390876e-05,
"loss": 0.2626,
"step": 4000
},
{
"epoch": 7.0,
"learning_rate": 3.835147744945568e-05,
"loss": 0.1945,
"step": 4500
},
{
"epoch": 7.0,
"eval_accuracy": 0.814872192099148,
"eval_f1_macro": 0.7667275846579111,
"eval_f1_micro": 0.814872192099148,
"eval_f1_weighted": 0.812156980007075,
"eval_loss": 1.1841164827346802,
"eval_macro_fpr": 0.016569799909363286,
"eval_macro_sensitivity": 0.7598143558862378,
"eval_macro_specificity": 0.9859673331635007,
"eval_precision": 0.8128843369221012,
"eval_precision_macro": 0.7850186311075981,
"eval_recall": 0.814872192099148,
"eval_recall_macro": 0.7598143558862378,
"eval_runtime": 89.1729,
"eval_samples_per_second": 14.477,
"eval_steps_per_second": 1.817,
"eval_weighted_fpr": 0.015968463954032203,
"eval_weighted_sensitivity": 0.814872192099148,
"eval_weighted_specificity": 0.974637805353365,
"step": 4501
},
{
"epoch": 7.78,
"learning_rate": 3.705546915500259e-05,
"loss": 0.1286,
"step": 5000
},
{
"epoch": 8.0,
"eval_accuracy": 0.8079008520526724,
"eval_f1_macro": 0.728267610383121,
"eval_f1_micro": 0.8079008520526724,
"eval_f1_weighted": 0.8067061599230408,
"eval_loss": 1.3231384754180908,
"eval_macro_fpr": 0.01714064720569306,
"eval_macro_sensitivity": 0.7216321376051643,
"eval_macro_specificity": 0.9855732952526467,
"eval_precision": 0.8105008603379217,
"eval_precision_macro": 0.763038482726323,
"eval_recall": 0.8079008520526724,
"eval_recall_macro": 0.7216321376051643,
"eval_runtime": 93.4716,
"eval_samples_per_second": 13.812,
"eval_steps_per_second": 1.733,
"eval_weighted_fpr": 0.0167003367003367,
"eval_weighted_sensitivity": 0.8079008520526724,
"eval_weighted_specificity": 0.9756985767370285,
"step": 5144
},
{
"epoch": 8.55,
"learning_rate": 3.576205287713841e-05,
"loss": 0.1304,
"step": 5500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8102246320681642,
"eval_f1_macro": 0.7569552546114842,
"eval_f1_micro": 0.8102246320681642,
"eval_f1_weighted": 0.808840893500485,
"eval_loss": 1.3869109153747559,
"eval_macro_fpr": 0.017055465242864547,
"eval_macro_sensitivity": 0.7602881393177737,
"eval_macro_specificity": 0.9856184320870693,
"eval_precision": 0.811846243162855,
"eval_precision_macro": 0.7704913288832418,
"eval_recall": 0.8102246320681642,
"eval_recall_macro": 0.7602881393177737,
"eval_runtime": 88.7368,
"eval_samples_per_second": 14.549,
"eval_steps_per_second": 1.826,
"eval_weighted_fpr": 0.016455101081335213,
"eval_weighted_sensitivity": 0.8102246320681642,
"eval_weighted_specificity": 0.9740518492378762,
"step": 5787
},
{
"epoch": 9.33,
"learning_rate": 3.4466044582685334e-05,
"loss": 0.0875,
"step": 6000
},
{
"epoch": 10.0,
"eval_accuracy": 0.7823392718822618,
"eval_f1_macro": 0.7192346851166359,
"eval_f1_micro": 0.7823392718822618,
"eval_f1_weighted": 0.7816836829450283,
"eval_loss": 1.690091609954834,
"eval_macro_fpr": 0.01985842187936775,
"eval_macro_sensitivity": 0.7020361329217759,
"eval_macro_specificity": 0.9833585449617043,
"eval_precision": 0.7931868181724199,
"eval_precision_macro": 0.7600588253545632,
"eval_recall": 0.7823392718822618,
"eval_recall_macro": 0.7020361329217759,
"eval_runtime": 88.4203,
"eval_samples_per_second": 14.601,
"eval_steps_per_second": 1.832,
"eval_weighted_fpr": 0.019485472574717427,
"eval_weighted_sensitivity": 0.7823392718822618,
"eval_weighted_specificity": 0.9680389025433043,
"step": 6430
},
{
"epoch": 10.11,
"learning_rate": 3.317003628823225e-05,
"loss": 0.1088,
"step": 6500
},
{
"epoch": 10.89,
"learning_rate": 3.187402799377916e-05,
"loss": 0.1075,
"step": 7000
},
{
"epoch": 11.0,
"eval_accuracy": 0.7978311386522076,
"eval_f1_macro": 0.7470393699186935,
"eval_f1_micro": 0.7978311386522076,
"eval_f1_weighted": 0.793529238632398,
"eval_loss": 1.6517162322998047,
"eval_macro_fpr": 0.01832601410957563,
"eval_macro_sensitivity": 0.7566567183934103,
"eval_macro_specificity": 0.9849074579220182,
"eval_precision": 0.8021421826960871,
"eval_precision_macro": 0.7513026067404466,
"eval_recall": 0.7978311386522076,
"eval_recall_macro": 0.7566567183934103,
"eval_runtime": 91.1007,
"eval_samples_per_second": 14.171,
"eval_steps_per_second": 1.778,
"eval_weighted_fpr": 0.017778080512226686,
"eval_weighted_sensitivity": 0.7978311386522076,
"eval_weighted_specificity": 0.9757807301780667,
"step": 7073
},
{
"epoch": 11.66,
"learning_rate": 3.057801969932608e-05,
"loss": 0.0632,
"step": 7500
},
{
"epoch": 12.0,
"eval_accuracy": 0.814872192099148,
"eval_f1_macro": 0.7706785605409691,
"eval_f1_micro": 0.814872192099148,
"eval_f1_weighted": 0.814999517133868,
"eval_loss": 1.528985857963562,
"eval_macro_fpr": 0.016687805753048134,
"eval_macro_sensitivity": 0.7772039784617947,
"eval_macro_specificity": 0.9859096029272495,
"eval_precision": 0.8184480381747821,
"eval_precision_macro": 0.7745990994843823,
"eval_recall": 0.814872192099148,
"eval_recall_macro": 0.7772039784617947,
"eval_runtime": 89.9659,
"eval_samples_per_second": 14.35,
"eval_steps_per_second": 1.801,
"eval_weighted_fpr": 0.015968463954032203,
"eval_weighted_sensitivity": 0.814872192099148,
"eval_weighted_specificity": 0.9737718518095959,
"step": 7716
},
{
"epoch": 12.44,
"learning_rate": 2.92846034214619e-05,
"loss": 0.0565,
"step": 8000
},
{
"epoch": 13.0,
"eval_accuracy": 0.8063516653756778,
"eval_f1_macro": 0.7536745391279389,
"eval_f1_micro": 0.8063516653756778,
"eval_f1_weighted": 0.806105583642158,
"eval_loss": 1.5766452550888062,
"eval_macro_fpr": 0.017353934865295607,
"eval_macro_sensitivity": 0.7627918284863161,
"eval_macro_specificity": 0.9855508104644062,
"eval_precision": 0.8106650569621797,
"eval_precision_macro": 0.7527919670677403,
"eval_recall": 0.8063516653756778,
"eval_recall_macro": 0.7627918284863161,
"eval_runtime": 87.0044,
"eval_samples_per_second": 14.838,
"eval_steps_per_second": 1.862,
"eval_weighted_fpr": 0.01686454398273071,
"eval_weighted_sensitivity": 0.8063516653756778,
"eval_weighted_specificity": 0.9769104915904122,
"step": 8359
}
],
"logging_steps": 500,
"max_steps": 19290,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 1.9030344688502784e+16,
"trial_name": null,
"trial_params": null
}