{ "best_metric": 0.767473750579757, "best_model_checkpoint": "legal-bert-lora-no-grad/checkpoint-7073", "epoch": 11.0, "eval_steps": 500, "global_step": 7073, "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 } ], "logging_steps": 500, "max_steps": 19290, "num_train_epochs": 30, "save_steps": 500, "total_flos": 1.5339348390998016e+16, "trial_name": null, "trial_params": null }