|
{ |
|
"best_metric": 0.7408195079003096, |
|
"best_model_checkpoint": "bart-large/checkpoint-64225", |
|
"epoch": 26.0, |
|
"eval_steps": 500, |
|
"global_step": 66794, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 4.967886337096146e-05, |
|
"loss": 2.0273, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 4.9354482937589206e-05, |
|
"loss": 1.4983, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 4.903140002595043e-05, |
|
"loss": 1.4727, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 4.870701959257818e-05, |
|
"loss": 1.3945, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 4.8383287920072665e-05, |
|
"loss": 1.1685, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6847405112316034, |
|
"eval_f1_macro": 0.4296023125768376, |
|
"eval_f1_micro": 0.6847405112316034, |
|
"eval_f1_weighted": 0.6471198955620663, |
|
"eval_loss": 1.258675456047058, |
|
"eval_macro_fpr": 0.03310536835500512, |
|
"eval_macro_sensitivity": 0.47197476920519743, |
|
"eval_macro_specificity": 0.9759825618150952, |
|
"eval_precision": 0.6359796796355663, |
|
"eval_precision_macro": 0.4175869918662546, |
|
"eval_recall": 0.6847405112316034, |
|
"eval_recall_macro": 0.47197476920519743, |
|
"eval_runtime": 166.2079, |
|
"eval_samples_per_second": 7.767, |
|
"eval_steps_per_second": 3.887, |
|
"eval_weighted_fpr": 0.03183916138621607, |
|
"eval_weighted_sensitivity": 0.6847405112316034, |
|
"eval_weighted_specificity": 0.9549979159948256, |
|
"step": 2569 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 4.80589074867004e-05, |
|
"loss": 1.2814, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"learning_rate": 4.7734527053328146e-05, |
|
"loss": 1.2579, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"learning_rate": 4.741079538082263e-05, |
|
"loss": 1.246, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"learning_rate": 4.708641494745037e-05, |
|
"loss": 1.0685, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 4.676203451407811e-05, |
|
"loss": 1.1965, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6638264910921766, |
|
"eval_f1_macro": 0.3954707529203812, |
|
"eval_f1_micro": 0.6638264910921766, |
|
"eval_f1_weighted": 0.6467821848395333, |
|
"eval_loss": 1.1623183488845825, |
|
"eval_macro_fpr": 0.03422706134984445, |
|
"eval_macro_sensitivity": 0.4261017849773373, |
|
"eval_macro_specificity": 0.9752839802406176, |
|
"eval_precision": 0.6943370263824146, |
|
"eval_precision_macro": 0.45636498568634104, |
|
"eval_recall": 0.6638264910921766, |
|
"eval_recall_macro": 0.4261017849773373, |
|
"eval_runtime": 320.2013, |
|
"eval_samples_per_second": 4.032, |
|
"eval_steps_per_second": 2.017, |
|
"eval_weighted_fpr": 0.03490990990990991, |
|
"eval_weighted_sensitivity": 0.6638264910921766, |
|
"eval_weighted_specificity": 0.9654332125170877, |
|
"step": 5138 |
|
}, |
|
{ |
|
"epoch": 2.14, |
|
"learning_rate": 4.643765408070585e-05, |
|
"loss": 1.0697, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 4.611327364733359e-05, |
|
"loss": 1.1042, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"learning_rate": 4.578954197482808e-05, |
|
"loss": 1.124, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 2.72, |
|
"learning_rate": 4.546516154145582e-05, |
|
"loss": 1.1449, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"learning_rate": 4.514078110808356e-05, |
|
"loss": 1.189, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7234701781564679, |
|
"eval_f1_macro": 0.5196282925085354, |
|
"eval_f1_micro": 0.7234701781564679, |
|
"eval_f1_weighted": 0.7031290239201134, |
|
"eval_loss": 1.357356309890747, |
|
"eval_macro_fpr": 0.027073020005110214, |
|
"eval_macro_sensitivity": 0.5527845991176076, |
|
"eval_macro_specificity": 0.9790845865453512, |
|
"eval_precision": 0.7219921821470505, |
|
"eval_precision_macro": 0.5413306235947684, |
|
"eval_recall": 0.7234701781564679, |
|
"eval_recall_macro": 0.5527845991176076, |
|
"eval_runtime": 290.3268, |
|
"eval_samples_per_second": 4.447, |
|
"eval_steps_per_second": 2.225, |
|
"eval_weighted_fpr": 0.026576341844710787, |
|
"eval_weighted_sensitivity": 0.7234701781564679, |
|
"eval_weighted_specificity": 0.9627986200238022, |
|
"step": 7707 |
|
}, |
|
{ |
|
"epoch": 3.11, |
|
"learning_rate": 4.481704943557805e-05, |
|
"loss": 0.9829, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"learning_rate": 4.4492669002205786e-05, |
|
"loss": 0.9172, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 4.416828856883353e-05, |
|
"loss": 0.9911, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 3.7, |
|
"learning_rate": 4.384390813546127e-05, |
|
"loss": 0.9934, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 3.89, |
|
"learning_rate": 4.351952770208901e-05, |
|
"loss": 1.0127, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7668474051123161, |
|
"eval_f1_macro": 0.6233324855492023, |
|
"eval_f1_micro": 0.7668474051123161, |
|
"eval_f1_weighted": 0.7569127961671379, |
|
"eval_loss": 1.4684507846832275, |
|
"eval_macro_fpr": 0.022371017412255348, |
|
"eval_macro_sensitivity": 0.6201844239757082, |
|
"eval_macro_specificity": 0.9821444214871504, |
|
"eval_precision": 0.7584494799967734, |
|
"eval_precision_macro": 0.6670503035550461, |
|
"eval_recall": 0.7668474051123161, |
|
"eval_recall_macro": 0.6201844239757082, |
|
"eval_runtime": 296.0277, |
|
"eval_samples_per_second": 4.361, |
|
"eval_steps_per_second": 2.182, |
|
"eval_weighted_fpr": 0.021255561047948592, |
|
"eval_weighted_sensitivity": 0.7668474051123161, |
|
"eval_weighted_specificity": 0.9653189171949409, |
|
"step": 10276 |
|
}, |
|
{ |
|
"epoch": 4.09, |
|
"learning_rate": 4.3196444790450244e-05, |
|
"loss": 0.9926, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 4.28, |
|
"learning_rate": 4.287206435707798e-05, |
|
"loss": 1.1046, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 4.48, |
|
"learning_rate": 4.2547683923705725e-05, |
|
"loss": 0.8572, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 4.67, |
|
"learning_rate": 4.222330349033346e-05, |
|
"loss": 0.8623, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 4.87, |
|
"learning_rate": 4.1898923056961206e-05, |
|
"loss": 1.0205, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7668474051123161, |
|
"eval_f1_macro": 0.6732447131282889, |
|
"eval_f1_micro": 0.7668474051123161, |
|
"eval_f1_weighted": 0.7643097206437405, |
|
"eval_loss": 1.4232454299926758, |
|
"eval_macro_fpr": 0.021536303183803004, |
|
"eval_macro_sensitivity": 0.6871530786461169, |
|
"eval_macro_specificity": 0.9827017397959152, |
|
"eval_precision": 0.7710604143740172, |
|
"eval_precision_macro": 0.6764905863857386, |
|
"eval_recall": 0.7668474051123161, |
|
"eval_recall_macro": 0.6871530786461169, |
|
"eval_runtime": 288.8657, |
|
"eval_samples_per_second": 4.469, |
|
"eval_steps_per_second": 2.236, |
|
"eval_weighted_fpr": 0.021255561047948592, |
|
"eval_weighted_sensitivity": 0.7668474051123161, |
|
"eval_weighted_specificity": 0.9736786918264111, |
|
"step": 12845 |
|
}, |
|
{ |
|
"epoch": 5.06, |
|
"learning_rate": 4.1574542623588944e-05, |
|
"loss": 0.888, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 5.25, |
|
"learning_rate": 4.125016219021669e-05, |
|
"loss": 0.7739, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 5.45, |
|
"learning_rate": 4.0925781756844425e-05, |
|
"loss": 0.9572, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 5.64, |
|
"learning_rate": 4.060140132347217e-05, |
|
"loss": 0.8296, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 5.84, |
|
"learning_rate": 4.0277020890099906e-05, |
|
"loss": 0.7927, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.7428350116189001, |
|
"eval_f1_macro": 0.6107557579512543, |
|
"eval_f1_micro": 0.7428350116189001, |
|
"eval_f1_weighted": 0.729163687728552, |
|
"eval_loss": 1.5677722692489624, |
|
"eval_macro_fpr": 0.024790721920250693, |
|
"eval_macro_sensitivity": 0.6332883060366477, |
|
"eval_macro_specificity": 0.9807865890062467, |
|
"eval_precision": 0.7451349692354797, |
|
"eval_precision_macro": 0.6488747447950202, |
|
"eval_recall": 0.7428350116189001, |
|
"eval_recall_macro": 0.6332883060366477, |
|
"eval_runtime": 291.455, |
|
"eval_samples_per_second": 4.429, |
|
"eval_steps_per_second": 2.216, |
|
"eval_weighted_fpr": 0.024131414449774676, |
|
"eval_weighted_sensitivity": 0.7428350116189001, |
|
"eval_weighted_specificity": 0.9689638234747989, |
|
"step": 15414 |
|
}, |
|
{ |
|
"epoch": 6.03, |
|
"learning_rate": 3.995264045672765e-05, |
|
"loss": 0.8196, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 6.23, |
|
"learning_rate": 3.9628260023355394e-05, |
|
"loss": 0.6989, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 6.42, |
|
"learning_rate": 3.930387958998313e-05, |
|
"loss": 0.7149, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 6.62, |
|
"learning_rate": 3.8979499156610875e-05, |
|
"loss": 0.7459, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 6.81, |
|
"learning_rate": 3.865511872323861e-05, |
|
"loss": 0.7701, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.7467079783113865, |
|
"eval_f1_macro": 0.6583574261846535, |
|
"eval_f1_micro": 0.7467079783113864, |
|
"eval_f1_weighted": 0.7399270546375634, |
|
"eval_loss": 1.7336597442626953, |
|
"eval_macro_fpr": 0.023989153033760927, |
|
"eval_macro_sensitivity": 0.6536163621805403, |
|
"eval_macro_specificity": 0.9809809544706846, |
|
"eval_precision": 0.759972067375925, |
|
"eval_precision_macro": 0.6862877418910309, |
|
"eval_recall": 0.7467079783113865, |
|
"eval_recall_macro": 0.6536163621805403, |
|
"eval_runtime": 289.659, |
|
"eval_samples_per_second": 4.457, |
|
"eval_steps_per_second": 2.23, |
|
"eval_weighted_fpr": 0.023656225132026334, |
|
"eval_weighted_sensitivity": 0.7467079783113865, |
|
"eval_weighted_specificity": 0.9680063387488825, |
|
"step": 17983 |
|
}, |
|
{ |
|
"epoch": 7.01, |
|
"learning_rate": 3.83313870507331e-05, |
|
"loss": 0.826, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 7.2, |
|
"learning_rate": 3.800765537822758e-05, |
|
"loss": 0.6803, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 7.4, |
|
"learning_rate": 3.7683274944855327e-05, |
|
"loss": 0.6779, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 7.59, |
|
"learning_rate": 3.7358894511483064e-05, |
|
"loss": 0.616, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 7.79, |
|
"learning_rate": 3.703451407811081e-05, |
|
"loss": 0.608, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 7.98, |
|
"learning_rate": 3.671013364473855e-05, |
|
"loss": 0.584, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.7691711851278079, |
|
"eval_f1_macro": 0.6979809418287721, |
|
"eval_f1_micro": 0.7691711851278079, |
|
"eval_f1_weighted": 0.7682883483181749, |
|
"eval_loss": 1.6188185214996338, |
|
"eval_macro_fpr": 0.021432185448306138, |
|
"eval_macro_sensitivity": 0.7065204224528159, |
|
"eval_macro_specificity": 0.9826542042505794, |
|
"eval_precision": 0.7766202006674988, |
|
"eval_precision_macro": 0.6979437669181305, |
|
"eval_recall": 0.7691711851278079, |
|
"eval_recall_macro": 0.7065204224528159, |
|
"eval_runtime": 303.6709, |
|
"eval_samples_per_second": 4.251, |
|
"eval_steps_per_second": 2.127, |
|
"eval_weighted_fpr": 0.020985915492957745, |
|
"eval_weighted_sensitivity": 0.7691711851278079, |
|
"eval_weighted_specificity": 0.9706418786308822, |
|
"step": 20552 |
|
}, |
|
{ |
|
"epoch": 8.17, |
|
"learning_rate": 3.638575321136629e-05, |
|
"loss": 0.5266, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 8.37, |
|
"learning_rate": 3.606137277799403e-05, |
|
"loss": 0.6717, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 8.56, |
|
"learning_rate": 3.573699234462177e-05, |
|
"loss": 0.5474, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 8.76, |
|
"learning_rate": 3.5412611911249514e-05, |
|
"loss": 0.638, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 8.95, |
|
"learning_rate": 3.5088880238743996e-05, |
|
"loss": 0.5659, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.7598760650658405, |
|
"eval_f1_macro": 0.6728187845754294, |
|
"eval_f1_micro": 0.7598760650658405, |
|
"eval_f1_weighted": 0.7542471407266271, |
|
"eval_loss": 1.6982707977294922, |
|
"eval_macro_fpr": 0.02271263520390573, |
|
"eval_macro_sensitivity": 0.680403785625184, |
|
"eval_macro_specificity": 0.9819588600237938, |
|
"eval_precision": 0.766529422163196, |
|
"eval_precision_macro": 0.7000337979719602, |
|
"eval_recall": 0.7598760650658405, |
|
"eval_recall_macro": 0.680403785625184, |
|
"eval_runtime": 286.113, |
|
"eval_samples_per_second": 4.512, |
|
"eval_steps_per_second": 2.258, |
|
"eval_weighted_fpr": 0.02207348333808032, |
|
"eval_weighted_sensitivity": 0.7598760650658405, |
|
"eval_weighted_specificity": 0.9695068352910698, |
|
"step": 23121 |
|
}, |
|
{ |
|
"epoch": 9.15, |
|
"learning_rate": 3.476449980537174e-05, |
|
"loss": 0.5062, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 9.34, |
|
"learning_rate": 3.4440119371999484e-05, |
|
"loss": 0.4485, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 9.54, |
|
"learning_rate": 3.411573893862722e-05, |
|
"loss": 0.6239, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 9.73, |
|
"learning_rate": 3.379200726612171e-05, |
|
"loss": 0.6764, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 9.93, |
|
"learning_rate": 3.3467626832749447e-05, |
|
"loss": 0.7021, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.7699457784663052, |
|
"eval_f1_macro": 0.6953722525071192, |
|
"eval_f1_micro": 0.7699457784663051, |
|
"eval_f1_weighted": 0.7634449085212252, |
|
"eval_loss": 1.6445409059524536, |
|
"eval_macro_fpr": 0.022344139928734137, |
|
"eval_macro_sensitivity": 0.6856644071349105, |
|
"eval_macro_specificity": 0.9820521636968861, |
|
"eval_precision": 0.7656296240571903, |
|
"eval_precision_macro": 0.7143810783711486, |
|
"eval_recall": 0.7699457784663052, |
|
"eval_recall_macro": 0.6856644071349105, |
|
"eval_runtime": 288.6164, |
|
"eval_samples_per_second": 4.473, |
|
"eval_steps_per_second": 2.238, |
|
"eval_weighted_fpr": 0.0208963624850489, |
|
"eval_weighted_sensitivity": 0.7699457784663052, |
|
"eval_weighted_specificity": 0.9608366769869864, |
|
"step": 25690 |
|
}, |
|
{ |
|
"epoch": 10.12, |
|
"learning_rate": 3.314324639937719e-05, |
|
"loss": 0.6243, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 10.32, |
|
"learning_rate": 3.281886596600493e-05, |
|
"loss": 0.6952, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 10.51, |
|
"learning_rate": 3.249448553263267e-05, |
|
"loss": 0.7705, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 10.7, |
|
"learning_rate": 3.217010509926041e-05, |
|
"loss": 0.6582, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 10.9, |
|
"learning_rate": 3.184572466588815e-05, |
|
"loss": 0.6216, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.7676219984508134, |
|
"eval_f1_macro": 0.6786279912338002, |
|
"eval_f1_micro": 0.7676219984508135, |
|
"eval_f1_weighted": 0.7623696014823479, |
|
"eval_loss": 1.656176209449768, |
|
"eval_macro_fpr": 0.022330481497328643, |
|
"eval_macro_sensitivity": 0.6775994679116955, |
|
"eval_macro_specificity": 0.9821081561015023, |
|
"eval_precision": 0.7633744243747118, |
|
"eval_precision_macro": 0.6856198086678005, |
|
"eval_recall": 0.7676219984508134, |
|
"eval_recall_macro": 0.6775994679116955, |
|
"eval_runtime": 286.2474, |
|
"eval_samples_per_second": 4.51, |
|
"eval_steps_per_second": 2.257, |
|
"eval_weighted_fpr": 0.021165514321998025, |
|
"eval_weighted_sensitivity": 0.7676219984508134, |
|
"eval_weighted_specificity": 0.9640003430717192, |
|
"step": 28259 |
|
}, |
|
{ |
|
"epoch": 11.09, |
|
"learning_rate": 3.15213442325159e-05, |
|
"loss": 0.716, |
|
"step": 28500 |
|
}, |
|
{ |
|
"epoch": 11.29, |
|
"learning_rate": 3.119826132087712e-05, |
|
"loss": 0.5161, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 11.48, |
|
"learning_rate": 3.087388088750487e-05, |
|
"loss": 0.5121, |
|
"step": 29500 |
|
}, |
|
{ |
|
"epoch": 11.68, |
|
"learning_rate": 3.0549500454132604e-05, |
|
"loss": 0.4694, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 11.87, |
|
"learning_rate": 3.0225120020760352e-05, |
|
"loss": 0.6408, |
|
"step": 30500 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.7668474051123161, |
|
"eval_f1_macro": 0.6665576721498584, |
|
"eval_f1_micro": 0.7668474051123161, |
|
"eval_f1_weighted": 0.760771317042359, |
|
"eval_loss": 1.6681983470916748, |
|
"eval_macro_fpr": 0.022265012904393446, |
|
"eval_macro_sensitivity": 0.6719396221017415, |
|
"eval_macro_specificity": 0.9822275271243499, |
|
"eval_precision": 0.7628875217070834, |
|
"eval_precision_macro": 0.6705561723407458, |
|
"eval_recall": 0.7668474051123161, |
|
"eval_recall_macro": 0.6719396221017415, |
|
"eval_runtime": 285.4858, |
|
"eval_samples_per_second": 4.522, |
|
"eval_steps_per_second": 2.263, |
|
"eval_weighted_fpr": 0.021255561047948592, |
|
"eval_weighted_sensitivity": 0.7668474051123161, |
|
"eval_weighted_specificity": 0.9665655017529341, |
|
"step": 30828 |
|
}, |
|
{ |
|
"epoch": 12.07, |
|
"learning_rate": 2.990073958738809e-05, |
|
"loss": 0.518, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 12.26, |
|
"learning_rate": 2.9577007914882577e-05, |
|
"loss": 0.3736, |
|
"step": 31500 |
|
}, |
|
{ |
|
"epoch": 12.46, |
|
"learning_rate": 2.9252627481510315e-05, |
|
"loss": 0.4537, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 12.65, |
|
"learning_rate": 2.892824704813806e-05, |
|
"loss": 0.5017, |
|
"step": 32500 |
|
}, |
|
{ |
|
"epoch": 12.85, |
|
"learning_rate": 2.86038666147658e-05, |
|
"loss": 0.523, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.7652982184353214, |
|
"eval_f1_macro": 0.7065905031891068, |
|
"eval_f1_micro": 0.7652982184353214, |
|
"eval_f1_weighted": 0.7533906957445078, |
|
"eval_loss": 1.7727322578430176, |
|
"eval_macro_fpr": 0.02260077041026825, |
|
"eval_macro_sensitivity": 0.6934075054851363, |
|
"eval_macro_specificity": 0.9820770689956008, |
|
"eval_precision": 0.7674159154971928, |
|
"eval_precision_macro": 0.8238391848974315, |
|
"eval_recall": 0.7652982184353214, |
|
"eval_recall_macro": 0.6934075054851363, |
|
"eval_runtime": 282.4043, |
|
"eval_samples_per_second": 4.571, |
|
"eval_steps_per_second": 2.288, |
|
"eval_weighted_fpr": 0.02143615139724089, |
|
"eval_weighted_sensitivity": 0.7652982184353214, |
|
"eval_weighted_specificity": 0.9658578164986904, |
|
"step": 33397 |
|
}, |
|
{ |
|
"epoch": 13.04, |
|
"learning_rate": 2.8280134942260284e-05, |
|
"loss": 0.4438, |
|
"step": 33500 |
|
}, |
|
{ |
|
"epoch": 13.23, |
|
"learning_rate": 2.7955754508888028e-05, |
|
"loss": 0.3444, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 13.43, |
|
"learning_rate": 2.7631374075515765e-05, |
|
"loss": 0.3751, |
|
"step": 34500 |
|
}, |
|
{ |
|
"epoch": 13.62, |
|
"learning_rate": 2.730699364214351e-05, |
|
"loss": 0.3835, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 13.82, |
|
"learning_rate": 2.6982613208771247e-05, |
|
"loss": 0.3688, |
|
"step": 35500 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.7792408985282726, |
|
"eval_f1_macro": 0.6960443476037717, |
|
"eval_f1_micro": 0.7792408985282726, |
|
"eval_f1_weighted": 0.7731313238375468, |
|
"eval_loss": 1.840445876121521, |
|
"eval_macro_fpr": 0.020905039822376084, |
|
"eval_macro_sensitivity": 0.6920728491541597, |
|
"eval_macro_specificity": 0.9831130726980227, |
|
"eval_precision": 0.7787988846597094, |
|
"eval_precision_macro": 0.7228983794850382, |
|
"eval_recall": 0.7792408985282726, |
|
"eval_recall_macro": 0.6920728491541597, |
|
"eval_runtime": 289.1315, |
|
"eval_samples_per_second": 4.465, |
|
"eval_steps_per_second": 2.234, |
|
"eval_weighted_fpr": 0.019834365648270583, |
|
"eval_weighted_sensitivity": 0.7792408985282726, |
|
"eval_weighted_specificity": 0.9674551919420677, |
|
"step": 35966 |
|
}, |
|
{ |
|
"epoch": 14.01, |
|
"learning_rate": 2.665823277539899e-05, |
|
"loss": 0.3816, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 14.21, |
|
"learning_rate": 2.633385234202673e-05, |
|
"loss": 0.3767, |
|
"step": 36500 |
|
}, |
|
{ |
|
"epoch": 14.4, |
|
"learning_rate": 2.6009471908654472e-05, |
|
"loss": 0.3859, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 14.6, |
|
"learning_rate": 2.5685091475282212e-05, |
|
"loss": 0.3066, |
|
"step": 37500 |
|
}, |
|
{ |
|
"epoch": 14.79, |
|
"learning_rate": 2.5360711041909953e-05, |
|
"loss": 0.402, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 14.99, |
|
"learning_rate": 2.5036330608537694e-05, |
|
"loss": 0.2394, |
|
"step": 38500 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.7815646785437645, |
|
"eval_f1_macro": 0.7230355619154473, |
|
"eval_f1_micro": 0.7815646785437644, |
|
"eval_f1_weighted": 0.7765270107358122, |
|
"eval_loss": 1.7884501218795776, |
|
"eval_macro_fpr": 0.020978052492475165, |
|
"eval_macro_sensitivity": 0.711481022624799, |
|
"eval_macro_specificity": 0.9829555212885144, |
|
"eval_precision": 0.7809140931231899, |
|
"eval_precision_macro": 0.7440727141565046, |
|
"eval_recall": 0.7815646785437645, |
|
"eval_recall_macro": 0.711481022624799, |
|
"eval_runtime": 286.1698, |
|
"eval_samples_per_second": 4.511, |
|
"eval_steps_per_second": 2.257, |
|
"eval_weighted_fpr": 0.01957245974458634, |
|
"eval_weighted_sensitivity": 0.7815646785437645, |
|
"eval_weighted_specificity": 0.9627681407839513, |
|
"step": 38535 |
|
}, |
|
{ |
|
"epoch": 15.18, |
|
"learning_rate": 2.4711950175165434e-05, |
|
"loss": 0.4596, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 15.38, |
|
"learning_rate": 2.4387569741793175e-05, |
|
"loss": 0.5262, |
|
"step": 39500 |
|
}, |
|
{ |
|
"epoch": 15.57, |
|
"learning_rate": 2.4063189308420915e-05, |
|
"loss": 0.4665, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 15.76, |
|
"learning_rate": 2.3738808875048656e-05, |
|
"loss": 0.3048, |
|
"step": 40500 |
|
}, |
|
{ |
|
"epoch": 15.96, |
|
"learning_rate": 2.341572596340989e-05, |
|
"loss": 0.2734, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.7776917118512781, |
|
"eval_f1_macro": 0.7295133712588342, |
|
"eval_f1_micro": 0.7776917118512781, |
|
"eval_f1_weighted": 0.7776503309668394, |
|
"eval_loss": 1.8943842649459839, |
|
"eval_macro_fpr": 0.0202894340480138, |
|
"eval_macro_sensitivity": 0.7265129858866516, |
|
"eval_macro_specificity": 0.9833416395469147, |
|
"eval_precision": 0.787044263189245, |
|
"eval_precision_macro": 0.7538684462791384, |
|
"eval_recall": 0.7776917118512781, |
|
"eval_recall_macro": 0.7265129858866516, |
|
"eval_runtime": 289.6948, |
|
"eval_samples_per_second": 4.456, |
|
"eval_steps_per_second": 2.23, |
|
"eval_weighted_fpr": 0.02000976085895559, |
|
"eval_weighted_sensitivity": 0.7776917118512781, |
|
"eval_weighted_specificity": 0.9724328813524437, |
|
"step": 41104 |
|
}, |
|
{ |
|
"epoch": 16.15, |
|
"learning_rate": 2.309134553003763e-05, |
|
"loss": 0.2378, |
|
"step": 41500 |
|
}, |
|
{ |
|
"epoch": 16.35, |
|
"learning_rate": 2.276696509666537e-05, |
|
"loss": 0.2691, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 16.54, |
|
"learning_rate": 2.244258466329311e-05, |
|
"loss": 0.3306, |
|
"step": 42500 |
|
}, |
|
{ |
|
"epoch": 16.74, |
|
"learning_rate": 2.211820422992085e-05, |
|
"loss": 0.2808, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 16.93, |
|
"learning_rate": 2.1794472557415336e-05, |
|
"loss": 0.4319, |
|
"step": 43500 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"eval_accuracy": 0.7885360185902401, |
|
"eval_f1_macro": 0.7269032248062757, |
|
"eval_f1_micro": 0.7885360185902401, |
|
"eval_f1_weighted": 0.7855493274616836, |
|
"eval_loss": 1.7744460105895996, |
|
"eval_macro_fpr": 0.01947959283678764, |
|
"eval_macro_sensitivity": 0.7319521995692674, |
|
"eval_macro_specificity": 0.9840228815937803, |
|
"eval_precision": 0.7847388778381785, |
|
"eval_precision_macro": 0.7247172757956307, |
|
"eval_recall": 0.7885360185902401, |
|
"eval_recall_macro": 0.7319521995692674, |
|
"eval_runtime": 288.2495, |
|
"eval_samples_per_second": 4.479, |
|
"eval_steps_per_second": 2.241, |
|
"eval_weighted_fpr": 0.018795180722891568, |
|
"eval_weighted_sensitivity": 0.7885360185902401, |
|
"eval_weighted_specificity": 0.9718072053164638, |
|
"step": 43673 |
|
}, |
|
{ |
|
"epoch": 17.13, |
|
"learning_rate": 2.1470092124043077e-05, |
|
"loss": 0.1443, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 17.32, |
|
"learning_rate": 2.1145711690670818e-05, |
|
"loss": 0.3099, |
|
"step": 44500 |
|
}, |
|
{ |
|
"epoch": 17.52, |
|
"learning_rate": 2.0821331257298558e-05, |
|
"loss": 0.2612, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 17.71, |
|
"learning_rate": 2.0496950823926302e-05, |
|
"loss": 0.1737, |
|
"step": 45500 |
|
}, |
|
{ |
|
"epoch": 17.91, |
|
"learning_rate": 2.0173219151420787e-05, |
|
"loss": 0.2347, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_accuracy": 0.7412858249419055, |
|
"eval_f1_macro": 0.6825268580987619, |
|
"eval_f1_micro": 0.7412858249419055, |
|
"eval_f1_weighted": 0.7354314259956967, |
|
"eval_loss": 2.0036449432373047, |
|
"eval_macro_fpr": 0.025493876443533448, |
|
"eval_macro_sensitivity": 0.6799085681343341, |
|
"eval_macro_specificity": 0.980067466354203, |
|
"eval_precision": 0.7352104687796146, |
|
"eval_precision_macro": 0.6933956510787752, |
|
"eval_recall": 0.7412858249419055, |
|
"eval_recall_macro": 0.6799085681343341, |
|
"eval_runtime": 284.7586, |
|
"eval_samples_per_second": 4.534, |
|
"eval_steps_per_second": 2.269, |
|
"eval_weighted_fpr": 0.024322749781532187, |
|
"eval_weighted_sensitivity": 0.7412858249419055, |
|
"eval_weighted_specificity": 0.9597261703711405, |
|
"step": 46242 |
|
}, |
|
{ |
|
"epoch": 18.1, |
|
"learning_rate": 1.9848838718048528e-05, |
|
"loss": 0.2375, |
|
"step": 46500 |
|
}, |
|
{ |
|
"epoch": 18.3, |
|
"learning_rate": 1.952445828467627e-05, |
|
"loss": 0.1648, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 18.49, |
|
"learning_rate": 1.9200726612170754e-05, |
|
"loss": 0.1856, |
|
"step": 47500 |
|
}, |
|
{ |
|
"epoch": 18.68, |
|
"learning_rate": 1.8876346178798494e-05, |
|
"loss": 0.3288, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 18.88, |
|
"learning_rate": 1.8551965745426235e-05, |
|
"loss": 0.1882, |
|
"step": 48500 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"eval_accuracy": 0.7815646785437645, |
|
"eval_f1_macro": 0.7224569664119563, |
|
"eval_f1_micro": 0.7815646785437644, |
|
"eval_f1_weighted": 0.7792243003941057, |
|
"eval_loss": 1.9297939538955688, |
|
"eval_macro_fpr": 0.020184156724894552, |
|
"eval_macro_sensitivity": 0.7261931252462459, |
|
"eval_macro_specificity": 0.9834902475280387, |
|
"eval_precision": 0.7803663621729094, |
|
"eval_precision_macro": 0.7242785000954916, |
|
"eval_recall": 0.7815646785437645, |
|
"eval_recall_macro": 0.7261931252462459, |
|
"eval_runtime": 290.7761, |
|
"eval_samples_per_second": 4.44, |
|
"eval_steps_per_second": 2.222, |
|
"eval_weighted_fpr": 0.01957245974458634, |
|
"eval_weighted_sensitivity": 0.7815646785437645, |
|
"eval_weighted_specificity": 0.9707890343768164, |
|
"step": 48811 |
|
}, |
|
{ |
|
"epoch": 19.07, |
|
"learning_rate": 1.8227585312053975e-05, |
|
"loss": 0.2023, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 19.27, |
|
"learning_rate": 1.7903204878681716e-05, |
|
"loss": 0.1941, |
|
"step": 49500 |
|
}, |
|
{ |
|
"epoch": 19.46, |
|
"learning_rate": 1.757882444530946e-05, |
|
"loss": 0.1347, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 19.66, |
|
"learning_rate": 1.72544440119372e-05, |
|
"loss": 0.1518, |
|
"step": 50500 |
|
}, |
|
{ |
|
"epoch": 19.85, |
|
"learning_rate": 1.693006357856494e-05, |
|
"loss": 0.1799, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.7792408985282726, |
|
"eval_f1_macro": 0.7242164682622322, |
|
"eval_f1_micro": 0.7792408985282726, |
|
"eval_f1_weighted": 0.77792735433031, |
|
"eval_loss": 1.9687796831130981, |
|
"eval_macro_fpr": 0.020494577008212903, |
|
"eval_macro_sensitivity": 0.7343346620007255, |
|
"eval_macro_specificity": 0.9833745449065493, |
|
"eval_precision": 0.7891902482075702, |
|
"eval_precision_macro": 0.7312255238513404, |
|
"eval_recall": 0.7792408985282726, |
|
"eval_recall_macro": 0.7343346620007255, |
|
"eval_runtime": 285.0268, |
|
"eval_samples_per_second": 4.529, |
|
"eval_steps_per_second": 2.266, |
|
"eval_weighted_fpr": 0.019834365648270583, |
|
"eval_weighted_sensitivity": 0.7792408985282726, |
|
"eval_weighted_specificity": 0.9713772750699678, |
|
"step": 51380 |
|
}, |
|
{ |
|
"epoch": 20.05, |
|
"learning_rate": 1.660568314519268e-05, |
|
"loss": 0.1389, |
|
"step": 51500 |
|
}, |
|
{ |
|
"epoch": 20.24, |
|
"learning_rate": 1.6281302711820422e-05, |
|
"loss": 0.113, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 20.44, |
|
"learning_rate": 1.5956922278448163e-05, |
|
"loss": 0.1118, |
|
"step": 52500 |
|
}, |
|
{ |
|
"epoch": 20.63, |
|
"learning_rate": 1.5632541845075907e-05, |
|
"loss": 0.1845, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 20.83, |
|
"learning_rate": 1.5308161411703647e-05, |
|
"loss": 0.1366, |
|
"step": 53500 |
|
}, |
|
{ |
|
"epoch": 21.0, |
|
"eval_accuracy": 0.7846630518977536, |
|
"eval_f1_macro": 0.7265114805047838, |
|
"eval_f1_micro": 0.7846630518977536, |
|
"eval_f1_weighted": 0.7832740678095101, |
|
"eval_loss": 1.9910492897033691, |
|
"eval_macro_fpr": 0.019831051752647592, |
|
"eval_macro_sensitivity": 0.745505358404397, |
|
"eval_macro_specificity": 0.9838452330123495, |
|
"eval_precision": 0.784616464055549, |
|
"eval_precision_macro": 0.7147611761715634, |
|
"eval_recall": 0.7846630518977536, |
|
"eval_recall_macro": 0.745505358404397, |
|
"eval_runtime": 290.3707, |
|
"eval_samples_per_second": 4.446, |
|
"eval_steps_per_second": 2.225, |
|
"eval_weighted_fpr": 0.01922544951590595, |
|
"eval_weighted_sensitivity": 0.7846630518977536, |
|
"eval_weighted_specificity": 0.9730154432874895, |
|
"step": 53949 |
|
}, |
|
{ |
|
"epoch": 21.02, |
|
"learning_rate": 1.4984429739198132e-05, |
|
"loss": 0.2057, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 21.21, |
|
"learning_rate": 1.4660049305825873e-05, |
|
"loss": 0.1708, |
|
"step": 54500 |
|
}, |
|
{ |
|
"epoch": 21.41, |
|
"learning_rate": 1.4335668872453614e-05, |
|
"loss": 0.084, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 21.6, |
|
"learning_rate": 1.4011288439081354e-05, |
|
"loss": 0.1225, |
|
"step": 55500 |
|
}, |
|
{ |
|
"epoch": 21.8, |
|
"learning_rate": 1.3686908005709095e-05, |
|
"loss": 0.1008, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 21.99, |
|
"learning_rate": 1.3362527572336835e-05, |
|
"loss": 0.1793, |
|
"step": 56500 |
|
}, |
|
{ |
|
"epoch": 22.0, |
|
"eval_accuracy": 0.7629744384198296, |
|
"eval_f1_macro": 0.714971434368363, |
|
"eval_f1_micro": 0.7629744384198296, |
|
"eval_f1_weighted": 0.7582223914248779, |
|
"eval_loss": 2.2548303604125977, |
|
"eval_macro_fpr": 0.02295397517276209, |
|
"eval_macro_sensitivity": 0.7272583059978417, |
|
"eval_macro_specificity": 0.9817539896299595, |
|
"eval_precision": 0.7648005911254243, |
|
"eval_precision_macro": 0.7150489472675985, |
|
"eval_recall": 0.7629744384198296, |
|
"eval_recall_macro": 0.7272583059978417, |
|
"eval_runtime": 352.8043, |
|
"eval_samples_per_second": 3.659, |
|
"eval_steps_per_second": 1.831, |
|
"eval_weighted_fpr": 0.021708286038592508, |
|
"eval_weighted_sensitivity": 0.7629744384198296, |
|
"eval_weighted_specificity": 0.9633354060295618, |
|
"step": 56518 |
|
}, |
|
{ |
|
"epoch": 22.19, |
|
"learning_rate": 1.303814713896458e-05, |
|
"loss": 0.1293, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 22.38, |
|
"learning_rate": 1.271376670559232e-05, |
|
"loss": 0.1532, |
|
"step": 57500 |
|
}, |
|
{ |
|
"epoch": 22.58, |
|
"learning_rate": 1.2390035033086805e-05, |
|
"loss": 0.2066, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 22.77, |
|
"learning_rate": 1.2065654599714546e-05, |
|
"loss": 0.1326, |
|
"step": 58500 |
|
}, |
|
{ |
|
"epoch": 22.97, |
|
"learning_rate": 1.174192292720903e-05, |
|
"loss": 0.1749, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 23.0, |
|
"eval_accuracy": 0.7815646785437645, |
|
"eval_f1_macro": 0.7289459925102588, |
|
"eval_f1_micro": 0.7815646785437644, |
|
"eval_f1_weighted": 0.7773605214390553, |
|
"eval_loss": 2.1108603477478027, |
|
"eval_macro_fpr": 0.02054851528566883, |
|
"eval_macro_sensitivity": 0.7230322921449998, |
|
"eval_macro_specificity": 0.9833739271591507, |
|
"eval_precision": 0.7767807321927734, |
|
"eval_precision_macro": 0.7466305539706889, |
|
"eval_recall": 0.7815646785437645, |
|
"eval_recall_macro": 0.7230322921449998, |
|
"eval_runtime": 297.526, |
|
"eval_samples_per_second": 4.339, |
|
"eval_steps_per_second": 2.171, |
|
"eval_weighted_fpr": 0.01957245974458634, |
|
"eval_weighted_sensitivity": 0.7815646785437645, |
|
"eval_weighted_specificity": 0.9690442288434956, |
|
"step": 59087 |
|
}, |
|
{ |
|
"epoch": 23.16, |
|
"learning_rate": 1.1417542493836771e-05, |
|
"loss": 0.1763, |
|
"step": 59500 |
|
}, |
|
{ |
|
"epoch": 23.36, |
|
"learning_rate": 1.1093162060464514e-05, |
|
"loss": 0.1039, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 23.55, |
|
"learning_rate": 1.0768781627092254e-05, |
|
"loss": 0.1895, |
|
"step": 60500 |
|
}, |
|
{ |
|
"epoch": 23.74, |
|
"learning_rate": 1.0444401193719995e-05, |
|
"loss": 0.1544, |
|
"step": 61000 |
|
}, |
|
{ |
|
"epoch": 23.94, |
|
"learning_rate": 1.0120020760347735e-05, |
|
"loss": 0.1154, |
|
"step": 61500 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.7877614252517429, |
|
"eval_f1_macro": 0.7331374609108605, |
|
"eval_f1_micro": 0.7877614252517429, |
|
"eval_f1_weighted": 0.7827775199528373, |
|
"eval_loss": 2.0637075901031494, |
|
"eval_macro_fpr": 0.019584306852913787, |
|
"eval_macro_sensitivity": 0.7268862975255689, |
|
"eval_macro_specificity": 0.9839707825927626, |
|
"eval_precision": 0.7836989509025826, |
|
"eval_precision_macro": 0.7590439050861235, |
|
"eval_recall": 0.7877614252517429, |
|
"eval_recall_macro": 0.7268862975255689, |
|
"eval_runtime": 293.3276, |
|
"eval_samples_per_second": 4.401, |
|
"eval_steps_per_second": 2.202, |
|
"eval_weighted_fpr": 0.01888092613009923, |
|
"eval_weighted_sensitivity": 0.7877614252517429, |
|
"eval_weighted_specificity": 0.9718003136396952, |
|
"step": 61656 |
|
}, |
|
{ |
|
"epoch": 24.13, |
|
"learning_rate": 9.795640326975478e-06, |
|
"loss": 0.1484, |
|
"step": 62000 |
|
}, |
|
{ |
|
"epoch": 24.33, |
|
"learning_rate": 9.471259893603218e-06, |
|
"loss": 0.1147, |
|
"step": 62500 |
|
}, |
|
{ |
|
"epoch": 24.52, |
|
"learning_rate": 9.146879460230959e-06, |
|
"loss": 0.1212, |
|
"step": 63000 |
|
}, |
|
{ |
|
"epoch": 24.72, |
|
"learning_rate": 8.822499026858701e-06, |
|
"loss": 0.0781, |
|
"step": 63500 |
|
}, |
|
{ |
|
"epoch": 24.91, |
|
"learning_rate": 8.498767354353186e-06, |
|
"loss": 0.1447, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"eval_accuracy": 0.7916343919442292, |
|
"eval_f1_macro": 0.7408195079003096, |
|
"eval_f1_micro": 0.7916343919442292, |
|
"eval_f1_weighted": 0.7861355334433522, |
|
"eval_loss": 2.0027315616607666, |
|
"eval_macro_fpr": 0.019407099074489707, |
|
"eval_macro_sensitivity": 0.7299369476165393, |
|
"eval_macro_specificity": 0.984089840852184, |
|
"eval_precision": 0.7857715570004769, |
|
"eval_precision_macro": 0.7750096561329829, |
|
"eval_recall": 0.7916343919442292, |
|
"eval_recall_macro": 0.7299369476165393, |
|
"eval_runtime": 300.7258, |
|
"eval_samples_per_second": 4.293, |
|
"eval_steps_per_second": 2.148, |
|
"eval_weighted_fpr": 0.01845372847636688, |
|
"eval_weighted_sensitivity": 0.7916343919442292, |
|
"eval_weighted_specificity": 0.9697132208385308, |
|
"step": 64225 |
|
}, |
|
{ |
|
"epoch": 25.11, |
|
"learning_rate": 8.174386920980927e-06, |
|
"loss": 0.1036, |
|
"step": 64500 |
|
}, |
|
{ |
|
"epoch": 25.3, |
|
"learning_rate": 7.850006487608667e-06, |
|
"loss": 0.1165, |
|
"step": 65000 |
|
}, |
|
{ |
|
"epoch": 25.5, |
|
"learning_rate": 7.52562605423641e-06, |
|
"loss": 0.0632, |
|
"step": 65500 |
|
}, |
|
{ |
|
"epoch": 25.69, |
|
"learning_rate": 7.20124562086415e-06, |
|
"loss": 0.1215, |
|
"step": 66000 |
|
}, |
|
{ |
|
"epoch": 25.89, |
|
"learning_rate": 6.876865187491891e-06, |
|
"loss": 0.0806, |
|
"step": 66500 |
|
}, |
|
{ |
|
"epoch": 26.0, |
|
"eval_accuracy": 0.7885360185902401, |
|
"eval_f1_macro": 0.7118193374018945, |
|
"eval_f1_micro": 0.7885360185902401, |
|
"eval_f1_weighted": 0.7839622559886584, |
|
"eval_loss": 2.077707529067993, |
|
"eval_macro_fpr": 0.019568063989489137, |
|
"eval_macro_sensitivity": 0.713410599172433, |
|
"eval_macro_specificity": 0.9840056220595941, |
|
"eval_precision": 0.783060971098355, |
|
"eval_precision_macro": 0.7162166073441082, |
|
"eval_recall": 0.7885360185902401, |
|
"eval_recall_macro": 0.713410599172433, |
|
"eval_runtime": 293.3091, |
|
"eval_samples_per_second": 4.401, |
|
"eval_steps_per_second": 2.202, |
|
"eval_weighted_fpr": 0.018795180722891568, |
|
"eval_weighted_sensitivity": 0.7885360185902401, |
|
"eval_weighted_specificity": 0.9715483123036702, |
|
"step": 66794 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 77070, |
|
"num_train_epochs": 30, |
|
"save_steps": 500, |
|
"total_flos": 1.4518663172175053e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|