xshubhamx's picture
Upload folder using huggingface_hub
d632377 verified
{
"best_metric": 0.7798451044346006,
"best_model_checkpoint": "legal-bert-lora-no-grad/checkpoint-13503",
"epoch": 30.0,
"eval_steps": 500,
"global_step": 19290,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.78,
"learning_rate": 4.870399170554692e-05,
"loss": 1.6412,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7513555383423702,
"eval_f1_macro": 0.4277259717095209,
"eval_f1_micro": 0.7513555383423703,
"eval_f1_weighted": 0.7282568827191913,
"eval_loss": 0.7924586534500122,
"eval_macro_fpr": 0.023743972756733803,
"eval_macro_sensitivity": 0.47068996339347813,
"eval_macro_specificity": 0.9814182576870886,
"eval_precision": 0.7190272898782211,
"eval_precision_macro": 0.4122596954919311,
"eval_recall": 0.7513555383423702,
"eval_recall_macro": 0.47068996339347813,
"eval_runtime": 31.9941,
"eval_samples_per_second": 40.351,
"eval_steps_per_second": 5.063,
"eval_weighted_fpr": 0.023091863894683835,
"eval_weighted_sensitivity": 0.7513555383423702,
"eval_weighted_specificity": 0.9699183269639584,
"step": 643
},
{
"epoch": 1.56,
"learning_rate": 4.740798341109383e-05,
"loss": 0.7481,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.7900852052672347,
"eval_f1_macro": 0.5997806825026601,
"eval_f1_micro": 0.7900852052672347,
"eval_f1_weighted": 0.7768800571423996,
"eval_loss": 0.6771801710128784,
"eval_macro_fpr": 0.019203116699768798,
"eval_macro_sensitivity": 0.6251797015497511,
"eval_macro_specificity": 0.9842820395671547,
"eval_precision": 0.7726267649469656,
"eval_precision_macro": 0.595773614705663,
"eval_recall": 0.7900852052672347,
"eval_recall_macro": 0.6251797015497511,
"eval_runtime": 33.2196,
"eval_samples_per_second": 38.863,
"eval_steps_per_second": 4.877,
"eval_weighted_fpr": 0.018624149542986735,
"eval_weighted_sensitivity": 0.7900852052672347,
"eval_weighted_specificity": 0.9741453882400846,
"step": 1286
},
{
"epoch": 2.33,
"learning_rate": 4.6111975116640746e-05,
"loss": 0.6465,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.8048024786986832,
"eval_f1_macro": 0.610991978534836,
"eval_f1_micro": 0.804802478698683,
"eval_f1_weighted": 0.7903758160570191,
"eval_loss": 0.64998859167099,
"eval_macro_fpr": 0.017565196384739988,
"eval_macro_sensitivity": 0.6414017118652243,
"eval_macro_specificity": 0.9854108558122262,
"eval_precision": 0.7930969709541013,
"eval_precision_macro": 0.6215844916422869,
"eval_recall": 0.8048024786986832,
"eval_recall_macro": 0.6414017118652243,
"eval_runtime": 33.2556,
"eval_samples_per_second": 38.821,
"eval_steps_per_second": 4.871,
"eval_weighted_fpr": 0.017029328287606435,
"eval_weighted_sensitivity": 0.8048024786986832,
"eval_weighted_specificity": 0.9763603584847095,
"step": 1929
},
{
"epoch": 3.11,
"learning_rate": 4.481596682218767e-05,
"loss": 0.5559,
"step": 2000
},
{
"epoch": 3.89,
"learning_rate": 4.3519958527734576e-05,
"loss": 0.4707,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.8094500387296669,
"eval_f1_macro": 0.6424924237429005,
"eval_f1_micro": 0.8094500387296669,
"eval_f1_weighted": 0.801786166531795,
"eval_loss": 0.6704407930374146,
"eval_macro_fpr": 0.017261054466023888,
"eval_macro_sensitivity": 0.6689319587406968,
"eval_macro_specificity": 0.9855970345792379,
"eval_precision": 0.8007850899141215,
"eval_precision_macro": 0.6321597811403302,
"eval_recall": 0.8094500387296669,
"eval_recall_macro": 0.6689319587406968,
"eval_runtime": 32.7354,
"eval_samples_per_second": 39.437,
"eval_steps_per_second": 4.949,
"eval_weighted_fpr": 0.016536703414896478,
"eval_weighted_sensitivity": 0.8094500387296669,
"eval_weighted_specificity": 0.9745054799589014,
"step": 2572
},
{
"epoch": 4.67,
"learning_rate": 4.22239502332815e-05,
"loss": 0.4021,
"step": 3000
},
{
"epoch": 5.0,
"eval_accuracy": 0.8280402788536019,
"eval_f1_macro": 0.7571266313428899,
"eval_f1_micro": 0.8280402788536019,
"eval_f1_weighted": 0.8219004240794867,
"eval_loss": 0.7320332527160645,
"eval_macro_fpr": 0.015397351101601975,
"eval_macro_sensitivity": 0.7573467308503988,
"eval_macro_specificity": 0.9869691873059906,
"eval_precision": 0.8268949272272527,
"eval_precision_macro": 0.7782079900717894,
"eval_recall": 0.8280402788536019,
"eval_recall_macro": 0.7573467308503988,
"eval_runtime": 33.3254,
"eval_samples_per_second": 38.739,
"eval_steps_per_second": 4.861,
"eval_weighted_fpr": 0.014616802739004477,
"eval_weighted_sensitivity": 0.8280402788536019,
"eval_weighted_specificity": 0.9764975307362563,
"step": 3215
},
{
"epoch": 5.44,
"learning_rate": 4.092794193882841e-05,
"loss": 0.3627,
"step": 3500
},
{
"epoch": 6.0,
"eval_accuracy": 0.8241673121611154,
"eval_f1_macro": 0.7374017625053243,
"eval_f1_micro": 0.8241673121611154,
"eval_f1_weighted": 0.8222929814764423,
"eval_loss": 0.6892128586769104,
"eval_macro_fpr": 0.015594676805191453,
"eval_macro_sensitivity": 0.7364879265668598,
"eval_macro_specificity": 0.9867341217946985,
"eval_precision": 0.822653270980506,
"eval_precision_macro": 0.7430958863475831,
"eval_recall": 0.8241673121611154,
"eval_recall_macro": 0.7364879265668598,
"eval_runtime": 32.5839,
"eval_samples_per_second": 39.621,
"eval_steps_per_second": 4.972,
"eval_weighted_fpr": 0.015010249289162203,
"eval_weighted_sensitivity": 0.8241673121611154,
"eval_weighted_specificity": 0.9768445147593636,
"step": 3858
},
{
"epoch": 6.22,
"learning_rate": 3.963193364437533e-05,
"loss": 0.3623,
"step": 4000
},
{
"epoch": 7.0,
"learning_rate": 3.833592534992224e-05,
"loss": 0.2866,
"step": 4500
},
{
"epoch": 7.0,
"eval_accuracy": 0.8179705654531371,
"eval_f1_macro": 0.7443559250736709,
"eval_f1_micro": 0.817970565453137,
"eval_f1_weighted": 0.8121793367264196,
"eval_loss": 0.8756108283996582,
"eval_macro_fpr": 0.016562044787314777,
"eval_macro_sensitivity": 0.7409975687139162,
"eval_macro_specificity": 0.9859854959008175,
"eval_precision": 0.8170676985045833,
"eval_precision_macro": 0.7748072523920921,
"eval_recall": 0.8179705654531371,
"eval_recall_macro": 0.7409975687139162,
"eval_runtime": 34.5334,
"eval_samples_per_second": 37.384,
"eval_steps_per_second": 4.691,
"eval_weighted_fpr": 0.01564684732671949,
"eval_weighted_sensitivity": 0.8179705654531371,
"eval_weighted_specificity": 0.9718118730591274,
"step": 4501
},
{
"epoch": 7.78,
"learning_rate": 3.7039917055469156e-05,
"loss": 0.2639,
"step": 5000
},
{
"epoch": 8.0,
"eval_accuracy": 0.8264910921766073,
"eval_f1_macro": 0.7480006271740781,
"eval_f1_micro": 0.8264910921766073,
"eval_f1_weighted": 0.8217020757246023,
"eval_loss": 0.8579551577568054,
"eval_macro_fpr": 0.0155160293084745,
"eval_macro_sensitivity": 0.7427592056873393,
"eval_macro_specificity": 0.9868042528312828,
"eval_precision": 0.8259376217895409,
"eval_precision_macro": 0.798909899893037,
"eval_recall": 0.8264910921766073,
"eval_recall_macro": 0.7427592056873393,
"eval_runtime": 33.4037,
"eval_samples_per_second": 38.648,
"eval_steps_per_second": 4.85,
"eval_weighted_fpr": 0.014773776546629732,
"eval_weighted_sensitivity": 0.8264910921766073,
"eval_weighted_specificity": 0.9755727002926348,
"step": 5144
},
{
"epoch": 8.55,
"learning_rate": 3.574390876101607e-05,
"loss": 0.2295,
"step": 5500
},
{
"epoch": 9.0,
"eval_accuracy": 0.82571649883811,
"eval_f1_macro": 0.7524178623807065,
"eval_f1_micro": 0.82571649883811,
"eval_f1_weighted": 0.822346219811999,
"eval_loss": 0.9366260170936584,
"eval_macro_fpr": 0.015511369010760676,
"eval_macro_sensitivity": 0.7465079310173777,
"eval_macro_specificity": 0.9867928280373104,
"eval_precision": 0.8230871400583257,
"eval_precision_macro": 0.7724676433487055,
"eval_recall": 0.82571649883811,
"eval_recall_macro": 0.7465079310173777,
"eval_runtime": 33.4584,
"eval_samples_per_second": 38.585,
"eval_steps_per_second": 4.842,
"eval_weighted_fpr": 0.01485246550927454,
"eval_weighted_sensitivity": 0.82571649883811,
"eval_weighted_specificity": 0.976175921721546,
"step": 5787
},
{
"epoch": 9.33,
"learning_rate": 3.4447900466562985e-05,
"loss": 0.195,
"step": 6000
},
{
"epoch": 10.0,
"eval_accuracy": 0.8272656855151046,
"eval_f1_macro": 0.752814241629395,
"eval_f1_micro": 0.8272656855151046,
"eval_f1_weighted": 0.8241119102181389,
"eval_loss": 0.9685066342353821,
"eval_macro_fpr": 0.01532247779991636,
"eval_macro_sensitivity": 0.7514626154154147,
"eval_macro_specificity": 0.9869341007498275,
"eval_precision": 0.8235616888844944,
"eval_precision_macro": 0.7594602286715586,
"eval_recall": 0.8272656855151046,
"eval_recall_macro": 0.7514626154154147,
"eval_runtime": 32.9707,
"eval_samples_per_second": 39.156,
"eval_steps_per_second": 4.913,
"eval_weighted_fpr": 0.014695222405271829,
"eval_weighted_sensitivity": 0.8272656855151046,
"eval_weighted_specificity": 0.9767458257323062,
"step": 6430
},
{
"epoch": 10.11,
"learning_rate": 3.315189217210991e-05,
"loss": 0.2071,
"step": 6500
},
{
"epoch": 10.89,
"learning_rate": 3.1855883877656815e-05,
"loss": 0.1617,
"step": 7000
},
{
"epoch": 11.0,
"eval_accuracy": 0.831138652207591,
"eval_f1_macro": 0.7542626782968901,
"eval_f1_micro": 0.831138652207591,
"eval_f1_weighted": 0.8265278944879543,
"eval_loss": 1.0405933856964111,
"eval_macro_fpr": 0.014948189971054987,
"eval_macro_sensitivity": 0.7552299472419968,
"eval_macro_specificity": 0.9872461533889039,
"eval_precision": 0.8263112206278148,
"eval_precision_macro": 0.7615032315409404,
"eval_recall": 0.831138652207591,
"eval_recall_macro": 0.7552299472419968,
"eval_runtime": 32.4814,
"eval_samples_per_second": 39.746,
"eval_steps_per_second": 4.987,
"eval_weighted_fpr": 0.014304461942257218,
"eval_weighted_sensitivity": 0.831138652207591,
"eval_weighted_specificity": 0.9775536486259658,
"step": 7073
},
{
"epoch": 11.66,
"learning_rate": 3.0559875583203736e-05,
"loss": 0.1421,
"step": 7500
},
{
"epoch": 12.0,
"eval_accuracy": 0.8319132455460883,
"eval_f1_macro": 0.7546443355775483,
"eval_f1_micro": 0.8319132455460883,
"eval_f1_weighted": 0.8286773098434994,
"eval_loss": 1.0712851285934448,
"eval_macro_fpr": 0.014849682505759526,
"eval_macro_sensitivity": 0.7533324298517142,
"eval_macro_specificity": 0.9872830280264108,
"eval_precision": 0.8275778384582335,
"eval_precision_macro": 0.7625814308958907,
"eval_recall": 0.8319132455460883,
"eval_recall_macro": 0.7533324298517142,
"eval_runtime": 33.7221,
"eval_samples_per_second": 38.284,
"eval_steps_per_second": 4.804,
"eval_weighted_fpr": 0.014226709499770536,
"eval_weighted_sensitivity": 0.8319132455460883,
"eval_weighted_specificity": 0.977332174850073,
"step": 7716
},
{
"epoch": 12.44,
"learning_rate": 2.926386728875065e-05,
"loss": 0.1184,
"step": 8000
},
{
"epoch": 13.0,
"eval_accuracy": 0.82571649883811,
"eval_f1_macro": 0.7510253218960331,
"eval_f1_micro": 0.82571649883811,
"eval_f1_weighted": 0.8218884223471629,
"eval_loss": 1.1124904155731201,
"eval_macro_fpr": 0.015517240035600281,
"eval_macro_sensitivity": 0.7503900667536906,
"eval_macro_specificity": 0.9868175907777439,
"eval_precision": 0.8208602037612678,
"eval_precision_macro": 0.7569190431250081,
"eval_recall": 0.82571649883811,
"eval_recall_macro": 0.7503900667536906,
"eval_runtime": 32.7063,
"eval_samples_per_second": 39.473,
"eval_steps_per_second": 4.953,
"eval_weighted_fpr": 0.01485246550927454,
"eval_weighted_sensitivity": 0.82571649883811,
"eval_weighted_specificity": 0.9765473628280475,
"step": 8359
},
{
"epoch": 13.22,
"learning_rate": 2.7967858994297562e-05,
"loss": 0.1157,
"step": 8500
},
{
"epoch": 14.0,
"learning_rate": 2.667185069984448e-05,
"loss": 0.1017,
"step": 9000
},
{
"epoch": 14.0,
"eval_accuracy": 0.8210689388071263,
"eval_f1_macro": 0.7726753332748134,
"eval_f1_micro": 0.8210689388071263,
"eval_f1_weighted": 0.8196057150820856,
"eval_loss": 1.1926428079605103,
"eval_macro_fpr": 0.01592832331319769,
"eval_macro_sensitivity": 0.7814792076835096,
"eval_macro_specificity": 0.9865762698201747,
"eval_precision": 0.8214722394566816,
"eval_precision_macro": 0.7675145052350089,
"eval_recall": 0.8210689388071263,
"eval_recall_macro": 0.7814792076835096,
"eval_runtime": 33.1567,
"eval_samples_per_second": 38.936,
"eval_steps_per_second": 4.886,
"eval_weighted_fpr": 0.015327450069670227,
"eval_weighted_sensitivity": 0.8210689388071263,
"eval_weighted_specificity": 0.977575108495493,
"step": 9002
},
{
"epoch": 14.77,
"learning_rate": 2.53758424053914e-05,
"loss": 0.0752,
"step": 9500
},
{
"epoch": 15.0,
"eval_accuracy": 0.8164213787761425,
"eval_f1_macro": 0.740181771196266,
"eval_f1_micro": 0.8164213787761425,
"eval_f1_weighted": 0.8133417808004717,
"eval_loss": 1.2507578134536743,
"eval_macro_fpr": 0.016423646764491533,
"eval_macro_sensitivity": 0.7376546806118065,
"eval_macro_specificity": 0.9861141336738363,
"eval_precision": 0.8120522617771967,
"eval_precision_macro": 0.7479093161875279,
"eval_recall": 0.8164213787761425,
"eval_recall_macro": 0.7376546806118065,
"eval_runtime": 33.1196,
"eval_samples_per_second": 38.98,
"eval_steps_per_second": 4.891,
"eval_weighted_fpr": 0.01580737677582872,
"eval_weighted_sensitivity": 0.8164213787761425,
"eval_weighted_specificity": 0.9752906263314008,
"step": 9645
},
{
"epoch": 15.55,
"learning_rate": 2.4079834110938313e-05,
"loss": 0.0787,
"step": 10000
},
{
"epoch": 16.0,
"eval_accuracy": 0.8218435321456236,
"eval_f1_macro": 0.7698437404057171,
"eval_f1_micro": 0.8218435321456236,
"eval_f1_weighted": 0.8187688080779877,
"eval_loss": 1.3246989250183105,
"eval_macro_fpr": 0.015979873481610722,
"eval_macro_sensitivity": 0.7584947789467064,
"eval_macro_specificity": 0.9864726076618879,
"eval_precision": 0.819938232209624,
"eval_precision_macro": 0.8033763498836805,
"eval_recall": 0.8218435321456236,
"eval_recall_macro": 0.7584947789467064,
"eval_runtime": 33.1643,
"eval_samples_per_second": 38.927,
"eval_steps_per_second": 4.885,
"eval_weighted_fpr": 0.015247944842216919,
"eval_weighted_sensitivity": 0.8218435321456236,
"eval_weighted_specificity": 0.9752455827826969,
"step": 10288
},
{
"epoch": 16.33,
"learning_rate": 2.2783825816485228e-05,
"loss": 0.0668,
"step": 10500
},
{
"epoch": 17.0,
"eval_accuracy": 0.8210689388071263,
"eval_f1_macro": 0.7468315966002393,
"eval_f1_micro": 0.8210689388071263,
"eval_f1_weighted": 0.8197761848180135,
"eval_loss": 1.3497052192687988,
"eval_macro_fpr": 0.01580496987707635,
"eval_macro_sensitivity": 0.7486969612108813,
"eval_macro_specificity": 0.9865911342551769,
"eval_precision": 0.8201285330679784,
"eval_precision_macro": 0.7499841938739371,
"eval_recall": 0.8210689388071263,
"eval_recall_macro": 0.7486969612108813,
"eval_runtime": 32.2442,
"eval_samples_per_second": 40.038,
"eval_steps_per_second": 5.024,
"eval_weighted_fpr": 0.015327450069670227,
"eval_weighted_sensitivity": 0.8210689388071263,
"eval_weighted_specificity": 0.9777980750205295,
"step": 10931
},
{
"epoch": 17.11,
"learning_rate": 2.1487817522032143e-05,
"loss": 0.0457,
"step": 11000
},
{
"epoch": 17.88,
"learning_rate": 2.0191809227579057e-05,
"loss": 0.0471,
"step": 11500
},
{
"epoch": 18.0,
"eval_accuracy": 0.8164213787761425,
"eval_f1_macro": 0.7644188412597084,
"eval_f1_micro": 0.8164213787761425,
"eval_f1_weighted": 0.8159145099342531,
"eval_loss": 1.4277746677398682,
"eval_macro_fpr": 0.01645147998475456,
"eval_macro_sensitivity": 0.7669665145653268,
"eval_macro_specificity": 0.9861526001666732,
"eval_precision": 0.8173561788436983,
"eval_precision_macro": 0.7672032880393017,
"eval_recall": 0.8164213787761425,
"eval_recall_macro": 0.7669665145653268,
"eval_runtime": 32.6421,
"eval_samples_per_second": 39.55,
"eval_steps_per_second": 4.963,
"eval_weighted_fpr": 0.01580737677582872,
"eval_weighted_sensitivity": 0.8164213787761425,
"eval_weighted_specificity": 0.9758676237239569,
"step": 11574
},
{
"epoch": 18.66,
"learning_rate": 1.8895800933125972e-05,
"loss": 0.0492,
"step": 12000
},
{
"epoch": 19.0,
"eval_accuracy": 0.8179705654531371,
"eval_f1_macro": 0.7453033208790572,
"eval_f1_micro": 0.817970565453137,
"eval_f1_weighted": 0.815620086845711,
"eval_loss": 1.4784481525421143,
"eval_macro_fpr": 0.016224618841081385,
"eval_macro_sensitivity": 0.743144190937684,
"eval_macro_specificity": 0.9862867942836505,
"eval_precision": 0.8178114033858023,
"eval_precision_macro": 0.7631419722725519,
"eval_recall": 0.8179705654531371,
"eval_recall_macro": 0.743144190937684,
"eval_runtime": 36.8743,
"eval_samples_per_second": 35.011,
"eval_steps_per_second": 4.393,
"eval_weighted_fpr": 0.01564684732671949,
"eval_weighted_sensitivity": 0.8179705654531371,
"eval_weighted_specificity": 0.9763313488016223,
"step": 12217
},
{
"epoch": 19.44,
"learning_rate": 1.7599792638672887e-05,
"loss": 0.0368,
"step": 12500
},
{
"epoch": 20.0,
"eval_accuracy": 0.8195197521301317,
"eval_f1_macro": 0.7621759547269054,
"eval_f1_micro": 0.8195197521301317,
"eval_f1_weighted": 0.817963185592044,
"eval_loss": 1.4747339487075806,
"eval_macro_fpr": 0.01613456443240687,
"eval_macro_sensitivity": 0.7567902244133032,
"eval_macro_specificity": 0.9863676058849223,
"eval_precision": 0.8183422461388873,
"eval_precision_macro": 0.7729024081192102,
"eval_recall": 0.8195197521301317,
"eval_recall_macro": 0.7567902244133032,
"eval_runtime": 33.7742,
"eval_samples_per_second": 38.224,
"eval_steps_per_second": 4.797,
"eval_weighted_fpr": 0.01548687271518777,
"eval_weighted_sensitivity": 0.8195197521301317,
"eval_weighted_specificity": 0.9759943361437048,
"step": 12860
},
{
"epoch": 20.22,
"learning_rate": 1.6303784344219805e-05,
"loss": 0.0283,
"step": 13000
},
{
"epoch": 21.0,
"learning_rate": 1.500777604976672e-05,
"loss": 0.0329,
"step": 13500
},
{
"epoch": 21.0,
"eval_accuracy": 0.8280402788536019,
"eval_f1_macro": 0.7798451044346006,
"eval_f1_micro": 0.8280402788536019,
"eval_f1_weighted": 0.826772845769794,
"eval_loss": 1.5075095891952515,
"eval_macro_fpr": 0.015201804107211978,
"eval_macro_sensitivity": 0.7845100062460777,
"eval_macro_specificity": 0.9870807598208488,
"eval_precision": 0.8289805116198049,
"eval_precision_macro": 0.7825198626457465,
"eval_recall": 0.8280402788536019,
"eval_recall_macro": 0.7845100062460777,
"eval_runtime": 33.5257,
"eval_samples_per_second": 38.508,
"eval_steps_per_second": 4.832,
"eval_weighted_fpr": 0.014616802739004477,
"eval_weighted_sensitivity": 0.8280402788536019,
"eval_weighted_specificity": 0.9781711184591322,
"step": 13503
},
{
"epoch": 21.77,
"learning_rate": 1.3711767755313634e-05,
"loss": 0.0266,
"step": 14000
},
{
"epoch": 22.0,
"eval_accuracy": 0.8272656855151046,
"eval_f1_macro": 0.765128228840441,
"eval_f1_micro": 0.8272656855151046,
"eval_f1_weighted": 0.8247163624860825,
"eval_loss": 1.4783282279968262,
"eval_macro_fpr": 0.015306165757253654,
"eval_macro_sensitivity": 0.7612370203923594,
"eval_macro_specificity": 0.9870078611821269,
"eval_precision": 0.826248912698554,
"eval_precision_macro": 0.7780325612996924,
"eval_recall": 0.8272656855151046,
"eval_recall_macro": 0.7612370203923594,
"eval_runtime": 32.6824,
"eval_samples_per_second": 39.501,
"eval_steps_per_second": 4.957,
"eval_weighted_fpr": 0.014695222405271829,
"eval_weighted_sensitivity": 0.8272656855151046,
"eval_weighted_specificity": 0.9778522322167991,
"step": 14146
},
{
"epoch": 22.55,
"learning_rate": 1.241575946086055e-05,
"loss": 0.0302,
"step": 14500
},
{
"epoch": 23.0,
"eval_accuracy": 0.8233927188226181,
"eval_f1_macro": 0.7679149401665657,
"eval_f1_micro": 0.8233927188226181,
"eval_f1_weighted": 0.822363691525487,
"eval_loss": 1.5281126499176025,
"eval_macro_fpr": 0.01578769634505232,
"eval_macro_sensitivity": 0.769870430823106,
"eval_macro_specificity": 0.9866251949198597,
"eval_precision": 0.8246221729606811,
"eval_precision_macro": 0.7744500129487238,
"eval_recall": 0.8233927188226181,
"eval_recall_macro": 0.769870430823106,
"eval_runtime": 32.6209,
"eval_samples_per_second": 39.576,
"eval_steps_per_second": 4.966,
"eval_weighted_fpr": 0.015089344804765056,
"eval_weighted_sensitivity": 0.8233927188226181,
"eval_weighted_specificity": 0.9759852049752782,
"step": 14789
},
{
"epoch": 23.33,
"learning_rate": 1.1119751166407467e-05,
"loss": 0.0207,
"step": 15000
},
{
"epoch": 24.0,
"eval_accuracy": 0.8264910921766073,
"eval_f1_macro": 0.7720566132705003,
"eval_f1_micro": 0.8264910921766073,
"eval_f1_weighted": 0.8248275404138076,
"eval_loss": 1.5474671125411987,
"eval_macro_fpr": 0.015452378985664239,
"eval_macro_sensitivity": 0.7726605197382722,
"eval_macro_specificity": 0.9868849046120488,
"eval_precision": 0.826237232491233,
"eval_precision_macro": 0.7809260488595394,
"eval_recall": 0.8264910921766073,
"eval_recall_macro": 0.7726605197382722,
"eval_runtime": 33.8928,
"eval_samples_per_second": 38.091,
"eval_steps_per_second": 4.78,
"eval_weighted_fpr": 0.014773776546629732,
"eval_weighted_sensitivity": 0.8264910921766073,
"eval_weighted_specificity": 0.9767824770041241,
"step": 15432
},
{
"epoch": 24.11,
"learning_rate": 9.82374287195438e-06,
"loss": 0.0107,
"step": 15500
},
{
"epoch": 24.88,
"learning_rate": 8.527734577501296e-06,
"loss": 0.0168,
"step": 16000
},
{
"epoch": 25.0,
"eval_accuracy": 0.8241673121611154,
"eval_f1_macro": 0.7628766843062061,
"eval_f1_micro": 0.8241673121611154,
"eval_f1_weighted": 0.8231422521167715,
"eval_loss": 1.5236613750457764,
"eval_macro_fpr": 0.015538992240674433,
"eval_macro_sensitivity": 0.7618795505323602,
"eval_macro_specificity": 0.9867782540147019,
"eval_precision": 0.8236868454122461,
"eval_precision_macro": 0.7725526191062821,
"eval_recall": 0.8241673121611154,
"eval_recall_macro": 0.7618795505323602,
"eval_runtime": 33.5006,
"eval_samples_per_second": 38.537,
"eval_steps_per_second": 4.836,
"eval_weighted_fpr": 0.015010249289162203,
"eval_weighted_sensitivity": 0.8241673121611154,
"eval_weighted_specificity": 0.977506498059414,
"step": 16075
},
{
"epoch": 25.66,
"learning_rate": 7.2317262830482126e-06,
"loss": 0.0167,
"step": 16500
},
{
"epoch": 26.0,
"eval_accuracy": 0.8233927188226181,
"eval_f1_macro": 0.7707209167508291,
"eval_f1_micro": 0.8233927188226181,
"eval_f1_weighted": 0.8232430254298418,
"eval_loss": 1.5814664363861084,
"eval_macro_fpr": 0.01564454124386674,
"eval_macro_sensitivity": 0.7727722480878652,
"eval_macro_specificity": 0.9867228825303838,
"eval_precision": 0.8254554866081273,
"eval_precision_macro": 0.7766099992749074,
"eval_recall": 0.8233927188226181,
"eval_recall_macro": 0.7727722480878652,
"eval_runtime": 33.0297,
"eval_samples_per_second": 39.086,
"eval_steps_per_second": 4.905,
"eval_weighted_fpr": 0.015089344804765056,
"eval_weighted_sensitivity": 0.8233927188226181,
"eval_weighted_specificity": 0.9774505191331391,
"step": 16718
},
{
"epoch": 26.44,
"learning_rate": 5.935717988595127e-06,
"loss": 0.0127,
"step": 17000
},
{
"epoch": 27.0,
"eval_accuracy": 0.8218435321456236,
"eval_f1_macro": 0.7708948022043273,
"eval_f1_micro": 0.8218435321456236,
"eval_f1_weighted": 0.8210863491796815,
"eval_loss": 1.6010326147079468,
"eval_macro_fpr": 0.01583806984289565,
"eval_macro_sensitivity": 0.7715917272078064,
"eval_macro_specificity": 0.9865804418598565,
"eval_precision": 0.8227874226730683,
"eval_precision_macro": 0.7790403153096314,
"eval_recall": 0.8218435321456236,
"eval_recall_macro": 0.7715917272078064,
"eval_runtime": 32.782,
"eval_samples_per_second": 39.381,
"eval_steps_per_second": 4.942,
"eval_weighted_fpr": 0.015247944842216919,
"eval_weighted_sensitivity": 0.8218435321456236,
"eval_weighted_specificity": 0.9768630957522239,
"step": 17361
},
{
"epoch": 27.22,
"learning_rate": 4.639709694142043e-06,
"loss": 0.0092,
"step": 17500
},
{
"epoch": 27.99,
"learning_rate": 3.343701399688958e-06,
"loss": 0.0094,
"step": 18000
},
{
"epoch": 28.0,
"eval_accuracy": 0.8264910921766073,
"eval_f1_macro": 0.7727667291395837,
"eval_f1_micro": 0.8264910921766073,
"eval_f1_weighted": 0.8258171895625699,
"eval_loss": 1.5774097442626953,
"eval_macro_fpr": 0.015341103668483914,
"eval_macro_sensitivity": 0.773854813454954,
"eval_macro_specificity": 0.9869529159693116,
"eval_precision": 0.826891768040439,
"eval_precision_macro": 0.7788022729128791,
"eval_recall": 0.8264910921766073,
"eval_recall_macro": 0.773854813454954,
"eval_runtime": 33.0216,
"eval_samples_per_second": 39.096,
"eval_steps_per_second": 4.906,
"eval_weighted_fpr": 0.014773776546629732,
"eval_weighted_sensitivity": 0.8264910921766073,
"eval_weighted_specificity": 0.9778026473630672,
"step": 18004
},
{
"epoch": 28.77,
"learning_rate": 2.047693105235874e-06,
"loss": 0.0063,
"step": 18500
},
{
"epoch": 29.0,
"eval_accuracy": 0.8303640588690937,
"eval_f1_macro": 0.7758691241332945,
"eval_f1_micro": 0.8303640588690937,
"eval_f1_weighted": 0.8296320064519734,
"eval_loss": 1.5894256830215454,
"eval_macro_fpr": 0.01497399644790724,
"eval_macro_sensitivity": 0.7763923480076292,
"eval_macro_specificity": 0.9872175028470982,
"eval_precision": 0.8306423335269149,
"eval_precision_macro": 0.7825319843012052,
"eval_recall": 0.8303640588690937,
"eval_recall_macro": 0.7763923480076292,
"eval_runtime": 33.6377,
"eval_samples_per_second": 38.38,
"eval_steps_per_second": 4.816,
"eval_weighted_fpr": 0.014382347146516056,
"eval_weighted_sensitivity": 0.8303640588690937,
"eval_weighted_specificity": 0.9778984838373787,
"step": 18647
},
{
"epoch": 29.55,
"learning_rate": 7.516848107827891e-07,
"loss": 0.0126,
"step": 19000
},
{
"epoch": 30.0,
"eval_accuracy": 0.8288148721920992,
"eval_f1_macro": 0.7760523651578057,
"eval_f1_micro": 0.8288148721920992,
"eval_f1_weighted": 0.827854551198293,
"eval_loss": 1.5927218198776245,
"eval_macro_fpr": 0.015145294133303922,
"eval_macro_sensitivity": 0.7756187985215348,
"eval_macro_specificity": 0.9870860118446655,
"eval_precision": 0.8290933179263601,
"eval_precision_macro": 0.7851985889478389,
"eval_recall": 0.8288148721920992,
"eval_recall_macro": 0.7756187985215348,
"eval_runtime": 32.9894,
"eval_samples_per_second": 39.134,
"eval_steps_per_second": 4.911,
"eval_weighted_fpr": 0.014538517202815604,
"eval_weighted_sensitivity": 0.8288148721920992,
"eval_weighted_specificity": 0.977475305477883,
"step": 19290
}
],
"logging_steps": 500,
"max_steps": 19290,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 4.183458652090368e+16,
"trial_name": null,
"trial_params": null
}