| { | |
| "best_metric": 0.80243850868883, | |
| "best_model_checkpoint": "legal-bert-lora-no-grad/checkpoint-12217", | |
| "epoch": 19.0, | |
| "eval_steps": 500, | |
| "global_step": 12217, | |
| "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": 1.5473, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7172734314484895, | |
| "eval_f1_macro": 0.3920432121625908, | |
| "eval_f1_micro": 0.7172734314484894, | |
| "eval_f1_weighted": 0.6868869808248764, | |
| "eval_loss": 0.8484711050987244, | |
| "eval_macro_fpr": 0.027836504093424867, | |
| "eval_macro_sensitivity": 0.44215864388540455, | |
| "eval_macro_specificity": 0.9788744549045134, | |
| "eval_precision": 0.6896842532804647, | |
| "eval_precision_macro": 0.3892290687521846, | |
| "eval_recall": 0.7172734314484895, | |
| "eval_recall_macro": 0.44215864388540455, | |
| "eval_runtime": 32.4222, | |
| "eval_samples_per_second": 39.818, | |
| "eval_steps_per_second": 4.997, | |
| "eval_weighted_fpr": 0.027383899767424412, | |
| "eval_weighted_sensitivity": 0.7172734314484895, | |
| "eval_weighted_specificity": 0.9658433921192108, | |
| "step": 643 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 4.740798341109383e-05, | |
| "loss": 0.7816, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7544539116963594, | |
| "eval_f1_macro": 0.47513531679703136, | |
| "eval_f1_micro": 0.7544539116963594, | |
| "eval_f1_weighted": 0.7304002619527014, | |
| "eval_loss": 0.7113391757011414, | |
| "eval_macro_fpr": 0.023051270843305598, | |
| "eval_macro_sensitivity": 0.5054156753128263, | |
| "eval_macro_specificity": 0.9817050378554314, | |
| "eval_precision": 0.7491876907285084, | |
| "eval_precision_macro": 0.5281699878111706, | |
| "eval_recall": 0.7544539116963594, | |
| "eval_recall_macro": 0.5054156753128263, | |
| "eval_runtime": 33.6622, | |
| "eval_samples_per_second": 38.352, | |
| "eval_steps_per_second": 4.813, | |
| "eval_weighted_fpr": 0.02271912850283093, | |
| "eval_weighted_sensitivity": 0.7544539116963594, | |
| "eval_weighted_specificity": 0.9711216561351127, | |
| "step": 1286 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 4.6111975116640746e-05, | |
| "loss": 0.6956, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7986057319907048, | |
| "eval_f1_macro": 0.5439483491438576, | |
| "eval_f1_micro": 0.7986057319907048, | |
| "eval_f1_weighted": 0.7833451448204543, | |
| "eval_loss": 0.6460158824920654, | |
| "eval_macro_fpr": 0.01844352926124183, | |
| "eval_macro_sensitivity": 0.5700868724489073, | |
| "eval_macro_specificity": 0.9848453217277398, | |
| "eval_precision": 0.7793241511142787, | |
| "eval_precision_macro": 0.5435553848320287, | |
| "eval_recall": 0.7986057319907048, | |
| "eval_recall_macro": 0.5700868724489073, | |
| "eval_runtime": 33.205, | |
| "eval_samples_per_second": 38.88, | |
| "eval_steps_per_second": 4.879, | |
| "eval_weighted_fpr": 0.01769429699196951, | |
| "eval_weighted_sensitivity": 0.7986057319907048, | |
| "eval_weighted_specificity": 0.974074093925392, | |
| "step": 1929 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "learning_rate": 4.481596682218767e-05, | |
| "loss": 0.6117, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 4.3519958527734576e-05, | |
| "loss": 0.4942, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8109992254066615, | |
| "eval_f1_macro": 0.641318903734146, | |
| "eval_f1_micro": 0.8109992254066615, | |
| "eval_f1_weighted": 0.8036671817127167, | |
| "eval_loss": 0.6429558992385864, | |
| "eval_macro_fpr": 0.016902452669854486, | |
| "eval_macro_sensitivity": 0.6670193163886222, | |
| "eval_macro_specificity": 0.9858199536379567, | |
| "eval_precision": 0.8014184747492699, | |
| "eval_precision_macro": 0.6315294283267076, | |
| "eval_recall": 0.8109992254066615, | |
| "eval_recall_macro": 0.6670193163886222, | |
| "eval_runtime": 34.2851, | |
| "eval_samples_per_second": 37.655, | |
| "eval_steps_per_second": 4.725, | |
| "eval_weighted_fpr": 0.016373641121997046, | |
| "eval_weighted_sensitivity": 0.8109992254066615, | |
| "eval_weighted_specificity": 0.9763000791626885, | |
| "step": 2572 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "learning_rate": 4.22239502332815e-05, | |
| "loss": 0.4088, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8319132455460883, | |
| "eval_f1_macro": 0.7458887908906745, | |
| "eval_f1_micro": 0.8319132455460883, | |
| "eval_f1_weighted": 0.8254435175521364, | |
| "eval_loss": 0.7148057222366333, | |
| "eval_macro_fpr": 0.015014171873602745, | |
| "eval_macro_sensitivity": 0.7444010739541649, | |
| "eval_macro_specificity": 0.9871775908314393, | |
| "eval_precision": 0.8301095647411415, | |
| "eval_precision_macro": 0.795128331887366, | |
| "eval_recall": 0.8319132455460883, | |
| "eval_recall_macro": 0.7444010739541649, | |
| "eval_runtime": 32.6496, | |
| "eval_samples_per_second": 39.541, | |
| "eval_steps_per_second": 4.962, | |
| "eval_weighted_fpr": 0.014226709499770536, | |
| "eval_weighted_sensitivity": 0.8319132455460883, | |
| "eval_weighted_specificity": 0.9757506169255016, | |
| "step": 3215 | |
| }, | |
| { | |
| "epoch": 5.44, | |
| "learning_rate": 4.092794193882841e-05, | |
| "loss": 0.3722, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8319132455460883, | |
| "eval_f1_macro": 0.7581556537237687, | |
| "eval_f1_micro": 0.8319132455460883, | |
| "eval_f1_weighted": 0.8284954274383471, | |
| "eval_loss": 0.7203006744384766, | |
| "eval_macro_fpr": 0.014862611036154928, | |
| "eval_macro_sensitivity": 0.7604143289637364, | |
| "eval_macro_specificity": 0.9873237068761225, | |
| "eval_precision": 0.8282196199964869, | |
| "eval_precision_macro": 0.7594204389852343, | |
| "eval_recall": 0.8319132455460883, | |
| "eval_recall_macro": 0.7604143289637364, | |
| "eval_runtime": 32.5293, | |
| "eval_samples_per_second": 39.687, | |
| "eval_steps_per_second": 4.98, | |
| "eval_weighted_fpr": 0.014226709499770536, | |
| "eval_weighted_sensitivity": 0.8319132455460883, | |
| "eval_weighted_specificity": 0.9779423575957491, | |
| "step": 3858 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "learning_rate": 3.963193364437533e-05, | |
| "loss": 0.3518, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 3.833592534992224e-05, | |
| "loss": 0.3088, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8218435321456236, | |
| "eval_f1_macro": 0.748587043102148, | |
| "eval_f1_micro": 0.8218435321456236, | |
| "eval_f1_weighted": 0.8202672850983224, | |
| "eval_loss": 0.7796419858932495, | |
| "eval_macro_fpr": 0.015766934174909337, | |
| "eval_macro_sensitivity": 0.7436163865406156, | |
| "eval_macro_specificity": 0.986554823310482, | |
| "eval_precision": 0.8283195435686048, | |
| "eval_precision_macro": 0.7927343403715958, | |
| "eval_recall": 0.8218435321456236, | |
| "eval_recall_macro": 0.7436163865406156, | |
| "eval_runtime": 33.9886, | |
| "eval_samples_per_second": 37.983, | |
| "eval_steps_per_second": 4.766, | |
| "eval_weighted_fpr": 0.015247944842216919, | |
| "eval_weighted_sensitivity": 0.8218435321456236, | |
| "eval_weighted_specificity": 0.9764788175116066, | |
| "step": 4501 | |
| }, | |
| { | |
| "epoch": 7.78, | |
| "learning_rate": 3.7039917055469156e-05, | |
| "loss": 0.245, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8187451587916343, | |
| "eval_f1_macro": 0.7408588571905798, | |
| "eval_f1_micro": 0.8187451587916342, | |
| "eval_f1_weighted": 0.8134714190372911, | |
| "eval_loss": 0.8731526136398315, | |
| "eval_macro_fpr": 0.016323302917471562, | |
| "eval_macro_sensitivity": 0.7403464639779053, | |
| "eval_macro_specificity": 0.98626453049897, | |
| "eval_precision": 0.8170725248278505, | |
| "eval_precision_macro": 0.7696333486311014, | |
| "eval_recall": 0.8187451587916343, | |
| "eval_recall_macro": 0.7403464639779053, | |
| "eval_runtime": 32.6647, | |
| "eval_samples_per_second": 39.523, | |
| "eval_steps_per_second": 4.959, | |
| "eval_weighted_fpr": 0.015566790846194785, | |
| "eval_weighted_sensitivity": 0.8187451587916343, | |
| "eval_weighted_specificity": 0.9752227986929156, | |
| "step": 5144 | |
| }, | |
| { | |
| "epoch": 8.55, | |
| "learning_rate": 3.574390876101607e-05, | |
| "loss": 0.2331, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.8264910921766073, | |
| "eval_f1_macro": 0.753016641591601, | |
| "eval_f1_micro": 0.8264910921766073, | |
| "eval_f1_weighted": 0.8260538424611459, | |
| "eval_loss": 0.871034562587738, | |
| "eval_macro_fpr": 0.015223198880351374, | |
| "eval_macro_sensitivity": 0.7521384355359189, | |
| "eval_macro_specificity": 0.9869379376488985, | |
| "eval_precision": 0.8280339150697505, | |
| "eval_precision_macro": 0.7595158765535532, | |
| "eval_recall": 0.8264910921766073, | |
| "eval_recall_macro": 0.7521384355359189, | |
| "eval_runtime": 32.6231, | |
| "eval_samples_per_second": 39.573, | |
| "eval_steps_per_second": 4.966, | |
| "eval_weighted_fpr": 0.014773776546629732, | |
| "eval_weighted_sensitivity": 0.8264910921766073, | |
| "eval_weighted_specificity": 0.9775779725568708, | |
| "step": 5787 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "learning_rate": 3.4447900466562985e-05, | |
| "loss": 0.1878, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.82571649883811, | |
| "eval_f1_macro": 0.7588436992559459, | |
| "eval_f1_micro": 0.82571649883811, | |
| "eval_f1_weighted": 0.8239752092365729, | |
| "eval_loss": 0.9866135120391846, | |
| "eval_macro_fpr": 0.015306627243977184, | |
| "eval_macro_sensitivity": 0.7603889662202937, | |
| "eval_macro_specificity": 0.9869690054538824, | |
| "eval_precision": 0.8260731585047043, | |
| "eval_precision_macro": 0.7672111037553849, | |
| "eval_recall": 0.82571649883811, | |
| "eval_recall_macro": 0.7603889662202937, | |
| "eval_runtime": 33.5564, | |
| "eval_samples_per_second": 38.473, | |
| "eval_steps_per_second": 4.828, | |
| "eval_weighted_fpr": 0.01485246550927454, | |
| "eval_weighted_sensitivity": 0.82571649883811, | |
| "eval_weighted_specificity": 0.9788185829701274, | |
| "step": 6430 | |
| }, | |
| { | |
| "epoch": 10.11, | |
| "learning_rate": 3.315189217210991e-05, | |
| "loss": 0.1934, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 10.89, | |
| "learning_rate": 3.1855883877656815e-05, | |
| "loss": 0.1627, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.82571649883811, | |
| "eval_f1_macro": 0.767473750579757, | |
| "eval_f1_micro": 0.82571649883811, | |
| "eval_f1_weighted": 0.8233713451484083, | |
| "eval_loss": 1.0529617071151733, | |
| "eval_macro_fpr": 0.015351918387195561, | |
| "eval_macro_sensitivity": 0.7711152769110098, | |
| "eval_macro_specificity": 0.9869581108070966, | |
| "eval_precision": 0.8268711216555169, | |
| "eval_precision_macro": 0.7706107626580333, | |
| "eval_recall": 0.82571649883811, | |
| "eval_recall_macro": 0.7711152769110098, | |
| "eval_runtime": 32.7851, | |
| "eval_samples_per_second": 39.378, | |
| "eval_steps_per_second": 4.941, | |
| "eval_weighted_fpr": 0.01485246550927454, | |
| "eval_weighted_sensitivity": 0.82571649883811, | |
| "eval_weighted_specificity": 0.9786551632683399, | |
| "step": 7073 | |
| }, | |
| { | |
| "epoch": 11.66, | |
| "learning_rate": 3.0559875583203736e-05, | |
| "loss": 0.1301, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.8264910921766073, | |
| "eval_f1_macro": 0.7575609282906195, | |
| "eval_f1_micro": 0.8264910921766073, | |
| "eval_f1_weighted": 0.8227831044737154, | |
| "eval_loss": 1.1041574478149414, | |
| "eval_macro_fpr": 0.015507747324292978, | |
| "eval_macro_sensitivity": 0.7586841377838723, | |
| "eval_macro_specificity": 0.986855053135477, | |
| "eval_precision": 0.8246142974152224, | |
| "eval_precision_macro": 0.7633072608154402, | |
| "eval_recall": 0.8264910921766073, | |
| "eval_recall_macro": 0.7586841377838723, | |
| "eval_runtime": 33.2755, | |
| "eval_samples_per_second": 38.797, | |
| "eval_steps_per_second": 4.868, | |
| "eval_weighted_fpr": 0.014773776546629732, | |
| "eval_weighted_sensitivity": 0.8264910921766073, | |
| "eval_weighted_specificity": 0.9763347048555474, | |
| "step": 7716 | |
| }, | |
| { | |
| "epoch": 12.44, | |
| "learning_rate": 2.926386728875065e-05, | |
| "loss": 0.1291, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.8233927188226181, | |
| "eval_f1_macro": 0.7580847580681433, | |
| "eval_f1_micro": 0.8233927188226181, | |
| "eval_f1_weighted": 0.8211060746900526, | |
| "eval_loss": 1.1460882425308228, | |
| "eval_macro_fpr": 0.015717446624001503, | |
| "eval_macro_sensitivity": 0.7612688033602836, | |
| "eval_macro_specificity": 0.9866762703086498, | |
| "eval_precision": 0.8215196709960565, | |
| "eval_precision_macro": 0.7582432160976473, | |
| "eval_recall": 0.8233927188226181, | |
| "eval_recall_macro": 0.7612688033602836, | |
| "eval_runtime": 32.7655, | |
| "eval_samples_per_second": 39.401, | |
| "eval_steps_per_second": 4.944, | |
| "eval_weighted_fpr": 0.015089344804765056, | |
| "eval_weighted_sensitivity": 0.8233927188226181, | |
| "eval_weighted_specificity": 0.9767513358071301, | |
| "step": 8359 | |
| }, | |
| { | |
| "epoch": 13.22, | |
| "learning_rate": 2.7967858994297562e-05, | |
| "loss": 0.1213, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 2.667185069984448e-05, | |
| "loss": 0.11, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.8226181254841208, | |
| "eval_f1_macro": 0.7627437208061313, | |
| "eval_f1_micro": 0.8226181254841208, | |
| "eval_f1_weighted": 0.819453013970647, | |
| "eval_loss": 1.1837199926376343, | |
| "eval_macro_fpr": 0.01587279795090152, | |
| "eval_macro_sensitivity": 0.7575723645459792, | |
| "eval_macro_specificity": 0.98654524509664, | |
| "eval_precision": 0.8182318569400476, | |
| "eval_precision_macro": 0.7716010744976882, | |
| "eval_recall": 0.8226181254841208, | |
| "eval_recall_macro": 0.7575723645459792, | |
| "eval_runtime": 32.1143, | |
| "eval_samples_per_second": 40.2, | |
| "eval_steps_per_second": 5.044, | |
| "eval_weighted_fpr": 0.01516857653838511, | |
| "eval_weighted_sensitivity": 0.8226181254841208, | |
| "eval_weighted_specificity": 0.9755605509654802, | |
| "step": 9002 | |
| }, | |
| { | |
| "epoch": 14.77, | |
| "learning_rate": 2.53758424053914e-05, | |
| "loss": 0.0863, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.8218435321456236, | |
| "eval_f1_macro": 0.7497899545528302, | |
| "eval_f1_micro": 0.8218435321456236, | |
| "eval_f1_weighted": 0.818300724101517, | |
| "eval_loss": 1.2020219564437866, | |
| "eval_macro_fpr": 0.01596050778819386, | |
| "eval_macro_sensitivity": 0.7457545376125337, | |
| "eval_macro_specificity": 0.9864813469122803, | |
| "eval_precision": 0.8185478073118013, | |
| "eval_precision_macro": 0.7615551574586096, | |
| "eval_recall": 0.8218435321456236, | |
| "eval_recall_macro": 0.7457545376125337, | |
| "eval_runtime": 32.9172, | |
| "eval_samples_per_second": 39.22, | |
| "eval_steps_per_second": 4.921, | |
| "eval_weighted_fpr": 0.015247944842216919, | |
| "eval_weighted_sensitivity": 0.8218435321456236, | |
| "eval_weighted_specificity": 0.9753766715385808, | |
| "step": 9645 | |
| }, | |
| { | |
| "epoch": 15.55, | |
| "learning_rate": 2.4079834110938313e-05, | |
| "loss": 0.0735, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.8187451587916343, | |
| "eval_f1_macro": 0.7516626482517895, | |
| "eval_f1_micro": 0.8187451587916342, | |
| "eval_f1_weighted": 0.8167711468473488, | |
| "eval_loss": 1.2490901947021484, | |
| "eval_macro_fpr": 0.01615903013896019, | |
| "eval_macro_sensitivity": 0.7463866263442519, | |
| "eval_macro_specificity": 0.9862838939338255, | |
| "eval_precision": 0.816010692122711, | |
| "eval_precision_macro": 0.7620383054800749, | |
| "eval_recall": 0.8187451587916343, | |
| "eval_recall_macro": 0.7463866263442519, | |
| "eval_runtime": 33.245, | |
| "eval_samples_per_second": 38.833, | |
| "eval_steps_per_second": 4.873, | |
| "eval_weighted_fpr": 0.015566790846194785, | |
| "eval_weighted_sensitivity": 0.8187451587916343, | |
| "eval_weighted_specificity": 0.9755132502157504, | |
| "step": 10288 | |
| }, | |
| { | |
| "epoch": 16.33, | |
| "learning_rate": 2.2783825816485228e-05, | |
| "loss": 0.0802, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.8164213787761425, | |
| "eval_f1_macro": 0.7483467346361333, | |
| "eval_f1_micro": 0.8164213787761425, | |
| "eval_f1_weighted": 0.8152034106224548, | |
| "eval_loss": 1.3287584781646729, | |
| "eval_macro_fpr": 0.016411109243053838, | |
| "eval_macro_sensitivity": 0.7530689671982778, | |
| "eval_macro_specificity": 0.986197275429763, | |
| "eval_precision": 0.8164986233001753, | |
| "eval_precision_macro": 0.7471296868733558, | |
| "eval_recall": 0.8164213787761425, | |
| "eval_recall_macro": 0.7530689671982778, | |
| "eval_runtime": 32.4097, | |
| "eval_samples_per_second": 39.834, | |
| "eval_steps_per_second": 4.999, | |
| "eval_weighted_fpr": 0.01580737677582872, | |
| "eval_weighted_sensitivity": 0.8164213787761425, | |
| "eval_weighted_specificity": 0.9765377526703035, | |
| "step": 10931 | |
| }, | |
| { | |
| "epoch": 17.11, | |
| "learning_rate": 2.1487817522032143e-05, | |
| "loss": 0.0517, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 17.88, | |
| "learning_rate": 2.0191809227579057e-05, | |
| "loss": 0.0525, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.8133230054221534, | |
| "eval_f1_macro": 0.7486434952959435, | |
| "eval_f1_micro": 0.8133230054221534, | |
| "eval_f1_weighted": 0.8105673102840433, | |
| "eval_loss": 1.3620411157608032, | |
| "eval_macro_fpr": 0.016771971366343907, | |
| "eval_macro_sensitivity": 0.747756174463169, | |
| "eval_macro_specificity": 0.9859165137366713, | |
| "eval_precision": 0.8127181738070712, | |
| "eval_precision_macro": 0.7556869343254475, | |
| "eval_recall": 0.8133230054221534, | |
| "eval_recall_macro": 0.747756174463169, | |
| "eval_runtime": 33.8455, | |
| "eval_samples_per_second": 38.144, | |
| "eval_steps_per_second": 4.786, | |
| "eval_weighted_fpr": 0.016130111772973698, | |
| "eval_weighted_sensitivity": 0.8133230054221534, | |
| "eval_weighted_specificity": 0.9754247006279183, | |
| "step": 11574 | |
| }, | |
| { | |
| "epoch": 18.66, | |
| "learning_rate": 1.8895800933125972e-05, | |
| "loss": 0.0474, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.8187451587916343, | |
| "eval_f1_macro": 0.80243850868883, | |
| "eval_f1_micro": 0.8187451587916342, | |
| "eval_f1_weighted": 0.8186882142398059, | |
| "eval_loss": 1.3783087730407715, | |
| "eval_macro_fpr": 0.01616653707794279, | |
| "eval_macro_sensitivity": 0.7971845339149931, | |
| "eval_macro_specificity": 0.9862841415250829, | |
| "eval_precision": 0.8219853895924313, | |
| "eval_precision_macro": 0.8153974354587618, | |
| "eval_recall": 0.8187451587916343, | |
| "eval_recall_macro": 0.7971845339149931, | |
| "eval_runtime": 34.0415, | |
| "eval_samples_per_second": 37.924, | |
| "eval_steps_per_second": 4.759, | |
| "eval_weighted_fpr": 0.015566790846194785, | |
| "eval_weighted_sensitivity": 0.8187451587916343, | |
| "eval_weighted_specificity": 0.9755169640846107, | |
| "step": 12217 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 19290, | |
| "num_train_epochs": 30, | |
| "save_steps": 500, | |
| "total_flos": 2.6495238129905664e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |