| { | |
| "best_metric": 0.7393184269658342, | |
| "best_model_checkpoint": "bart-base-lora/checkpoint-1125", | |
| "epoch": 12.995334370139968, | |
| "eval_steps": 500, | |
| "global_step": 2089, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.715724244771495, | |
| "eval_f1_macro": 0.3957532686340496, | |
| "eval_f1_micro": 0.715724244771495, | |
| "eval_f1_weighted": 0.6834645556416842, | |
| "eval_loss": 0.9525313973426819, | |
| "eval_macro_fpr": 0.028501626692807605, | |
| "eval_macro_sensitivity": 0.4415906678049911, | |
| "eval_macro_specificity": 0.9786637894661117, | |
| "eval_precision": 0.6787596592263883, | |
| "eval_precision_macro": 0.38751339695744513, | |
| "eval_recall": 0.715724244771495, | |
| "eval_recall_macro": 0.4415906678049911, | |
| "eval_runtime": 120.9594, | |
| "eval_samples_per_second": 10.673, | |
| "eval_steps_per_second": 1.339, | |
| "eval_weighted_fpr": 0.027587762158911525, | |
| "eval_weighted_sensitivity": 0.715724244771495, | |
| "eval_weighted_specificity": 0.9642325972201805, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7412858249419055, | |
| "eval_f1_macro": 0.43370046411892155, | |
| "eval_f1_micro": 0.7412858249419055, | |
| "eval_f1_weighted": 0.7231329193382661, | |
| "eval_loss": 0.7733433842658997, | |
| "eval_macro_fpr": 0.025167370687133015, | |
| "eval_macro_sensitivity": 0.4686708989603177, | |
| "eval_macro_specificity": 0.9805374797463638, | |
| "eval_precision": 0.729625861926521, | |
| "eval_precision_macro": 0.4491323101141271, | |
| "eval_recall": 0.7412858249419055, | |
| "eval_recall_macro": 0.4686708989603177, | |
| "eval_runtime": 119.8649, | |
| "eval_samples_per_second": 10.77, | |
| "eval_steps_per_second": 1.352, | |
| "eval_weighted_fpr": 0.024322749781532187, | |
| "eval_weighted_sensitivity": 0.7412858249419055, | |
| "eval_weighted_specificity": 0.9667763712535515, | |
| "step": 321 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7738187451587917, | |
| "eval_f1_macro": 0.5270593942960143, | |
| "eval_f1_micro": 0.7738187451587917, | |
| "eval_f1_weighted": 0.7610767338978833, | |
| "eval_loss": 0.7104586958885193, | |
| "eval_macro_fpr": 0.021211805484311928, | |
| "eval_macro_sensitivity": 0.5407847836684627, | |
| "eval_macro_specificity": 0.9830897092527341, | |
| "eval_precision": 0.7630858215778352, | |
| "eval_precision_macro": 0.5565386466479504, | |
| "eval_recall": 0.7738187451587917, | |
| "eval_recall_macro": 0.5407847836684627, | |
| "eval_runtime": 119.5419, | |
| "eval_samples_per_second": 10.8, | |
| "eval_steps_per_second": 1.355, | |
| "eval_weighted_fpr": 0.020451043563524302, | |
| "eval_weighted_sensitivity": 0.7738187451587917, | |
| "eval_weighted_specificity": 0.9725268936322198, | |
| "step": 482 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "learning_rate": 3.958333333333333e-05, | |
| "loss": 1.08, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7575522850503486, | |
| "eval_f1_macro": 0.5497163954183316, | |
| "eval_f1_micro": 0.7575522850503486, | |
| "eval_f1_weighted": 0.7437674055775699, | |
| "eval_loss": 0.7538753151893616, | |
| "eval_macro_fpr": 0.023393901824967867, | |
| "eval_macro_sensitivity": 0.5613408412198008, | |
| "eval_macro_specificity": 0.9817091819688993, | |
| "eval_precision": 0.7583906478192325, | |
| "eval_precision_macro": 0.5791225123984725, | |
| "eval_recall": 0.7575522850503486, | |
| "eval_recall_macro": 0.5613408412198008, | |
| "eval_runtime": 120.3095, | |
| "eval_samples_per_second": 10.731, | |
| "eval_steps_per_second": 1.347, | |
| "eval_weighted_fpr": 0.022349161013923598, | |
| "eval_weighted_sensitivity": 0.7575522850503486, | |
| "eval_weighted_specificity": 0.9680854444831427, | |
| "step": 643 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7831138652207591, | |
| "eval_f1_macro": 0.6353946839596228, | |
| "eval_f1_micro": 0.783113865220759, | |
| "eval_f1_weighted": 0.770250750407997, | |
| "eval_loss": 0.6978110074996948, | |
| "eval_macro_fpr": 0.020328728105215688, | |
| "eval_macro_sensitivity": 0.6491872351233146, | |
| "eval_macro_specificity": 0.983610303127039, | |
| "eval_precision": 0.790031827496624, | |
| "eval_precision_macro": 0.7409525878258343, | |
| "eval_recall": 0.7831138652207591, | |
| "eval_recall_macro": 0.6491872351233146, | |
| "eval_runtime": 119.9411, | |
| "eval_samples_per_second": 10.764, | |
| "eval_steps_per_second": 1.351, | |
| "eval_weighted_fpr": 0.019398642095053348, | |
| "eval_weighted_sensitivity": 0.7831138652207591, | |
| "eval_weighted_specificity": 0.9710406816848265, | |
| "step": 803 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8156467854376452, | |
| "eval_f1_macro": 0.686011065139391, | |
| "eval_f1_micro": 0.8156467854376452, | |
| "eval_f1_weighted": 0.8087620976325791, | |
| "eval_loss": 0.5920090675354004, | |
| "eval_macro_fpr": 0.016634568189926056, | |
| "eval_macro_sensitivity": 0.6889168814632094, | |
| "eval_macro_specificity": 0.9860196319752603, | |
| "eval_precision": 0.8053079350996695, | |
| "eval_precision_macro": 0.7051361586363433, | |
| "eval_recall": 0.8156467854376452, | |
| "eval_recall_macro": 0.6889168814632094, | |
| "eval_runtime": 121.4244, | |
| "eval_samples_per_second": 10.632, | |
| "eval_steps_per_second": 1.334, | |
| "eval_weighted_fpr": 0.01588785046728972, | |
| "eval_weighted_sensitivity": 0.8156467854376452, | |
| "eval_weighted_specificity": 0.974647694191258, | |
| "step": 964 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "learning_rate": 2.916666666666667e-05, | |
| "loss": 0.5581, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8187451587916343, | |
| "eval_f1_macro": 0.7393184269658342, | |
| "eval_f1_micro": 0.8187451587916342, | |
| "eval_f1_weighted": 0.8146848849127107, | |
| "eval_loss": 0.6230757236480713, | |
| "eval_macro_fpr": 0.016206558639896132, | |
| "eval_macro_sensitivity": 0.7424574536250088, | |
| "eval_macro_specificity": 0.9863587851767341, | |
| "eval_precision": 0.8177894369587694, | |
| "eval_precision_macro": 0.7626654223433325, | |
| "eval_recall": 0.8187451587916343, | |
| "eval_recall_macro": 0.7424574536250088, | |
| "eval_runtime": 122.7775, | |
| "eval_samples_per_second": 10.515, | |
| "eval_steps_per_second": 1.319, | |
| "eval_weighted_fpr": 0.015566790846194785, | |
| "eval_weighted_sensitivity": 0.8187451587916343, | |
| "eval_weighted_specificity": 0.9766366188593788, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8140975987606507, | |
| "eval_f1_macro": 0.7328585966804847, | |
| "eval_f1_micro": 0.8140975987606507, | |
| "eval_f1_weighted": 0.8088643288992207, | |
| "eval_loss": 0.6290707588195801, | |
| "eval_macro_fpr": 0.01671628651715199, | |
| "eval_macro_sensitivity": 0.730719512015592, | |
| "eval_macro_specificity": 0.985990627132147, | |
| "eval_precision": 0.8133783130550384, | |
| "eval_precision_macro": 0.7636063765511063, | |
| "eval_recall": 0.8140975987606507, | |
| "eval_recall_macro": 0.730719512015592, | |
| "eval_runtime": 122.8754, | |
| "eval_samples_per_second": 10.507, | |
| "eval_steps_per_second": 1.318, | |
| "eval_weighted_fpr": 0.016049217600641968, | |
| "eval_weighted_sensitivity": 0.8140975987606507, | |
| "eval_weighted_specificity": 0.975761808221554, | |
| "step": 1286 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.8241673121611154, | |
| "eval_f1_macro": 0.7364711129039813, | |
| "eval_f1_micro": 0.8241673121611154, | |
| "eval_f1_weighted": 0.8190822404938951, | |
| "eval_loss": 0.6226187348365784, | |
| "eval_macro_fpr": 0.015759087941173786, | |
| "eval_macro_sensitivity": 0.7340167949600996, | |
| "eval_macro_specificity": 0.9866810242390173, | |
| "eval_precision": 0.8212295601295609, | |
| "eval_precision_macro": 0.7665878963082912, | |
| "eval_recall": 0.8241673121611154, | |
| "eval_recall_macro": 0.7340167949600996, | |
| "eval_runtime": 119.2726, | |
| "eval_samples_per_second": 10.824, | |
| "eval_steps_per_second": 1.358, | |
| "eval_weighted_fpr": 0.015010249289162203, | |
| "eval_weighted_sensitivity": 0.8241673121611154, | |
| "eval_weighted_specificity": 0.9760480514241424, | |
| "step": 1446 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "learning_rate": 1.8750000000000002e-05, | |
| "loss": 0.3924, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.8109992254066615, | |
| "eval_f1_macro": 0.7240137823928982, | |
| "eval_f1_micro": 0.8109992254066615, | |
| "eval_f1_weighted": 0.8047604071311991, | |
| "eval_loss": 0.672822892665863, | |
| "eval_macro_fpr": 0.017004063571327103, | |
| "eval_macro_sensitivity": 0.7288750805513627, | |
| "eval_macro_specificity": 0.9858130697255809, | |
| "eval_precision": 0.8123042127541057, | |
| "eval_precision_macro": 0.7417780746962291, | |
| "eval_recall": 0.8109992254066615, | |
| "eval_recall_macro": 0.7288750805513627, | |
| "eval_runtime": 119.3649, | |
| "eval_samples_per_second": 10.816, | |
| "eval_steps_per_second": 1.357, | |
| "eval_weighted_fpr": 0.016373641121997046, | |
| "eval_weighted_sensitivity": 0.8109992254066615, | |
| "eval_weighted_specificity": 0.976196820477052, | |
| "step": 1607 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.8094500387296669, | |
| "eval_f1_macro": 0.7262574438118878, | |
| "eval_f1_micro": 0.8094500387296669, | |
| "eval_f1_weighted": 0.8026446222230169, | |
| "eval_loss": 0.6805150508880615, | |
| "eval_macro_fpr": 0.017269448415116812, | |
| "eval_macro_sensitivity": 0.7303446738424816, | |
| "eval_macro_specificity": 0.9856433903766489, | |
| "eval_precision": 0.8123272064418959, | |
| "eval_precision_macro": 0.7389776120628855, | |
| "eval_recall": 0.8094500387296669, | |
| "eval_recall_macro": 0.7303446738424816, | |
| "eval_runtime": 119.049, | |
| "eval_samples_per_second": 10.844, | |
| "eval_steps_per_second": 1.361, | |
| "eval_weighted_fpr": 0.016536703414896478, | |
| "eval_weighted_sensitivity": 0.8094500387296669, | |
| "eval_weighted_specificity": 0.9752008169200658, | |
| "step": 1768 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.8133230054221534, | |
| "eval_f1_macro": 0.7283700928598721, | |
| "eval_f1_micro": 0.8133230054221534, | |
| "eval_f1_weighted": 0.8089952243674349, | |
| "eval_loss": 0.670982301235199, | |
| "eval_macro_fpr": 0.016803062086639158, | |
| "eval_macro_sensitivity": 0.7306161057668827, | |
| "eval_macro_specificity": 0.9859491188467968, | |
| "eval_precision": 0.813705327621, | |
| "eval_precision_macro": 0.7396207219727483, | |
| "eval_recall": 0.8133230054221534, | |
| "eval_recall_macro": 0.7306161057668827, | |
| "eval_runtime": 179.3033, | |
| "eval_samples_per_second": 7.2, | |
| "eval_steps_per_second": 0.903, | |
| "eval_weighted_fpr": 0.016130111772973698, | |
| "eval_weighted_sensitivity": 0.8133230054221534, | |
| "eval_weighted_specificity": 0.9759137772797981, | |
| "step": 1929 | |
| }, | |
| { | |
| "epoch": 12.44, | |
| "learning_rate": 8.333333333333334e-06, | |
| "loss": 0.2929, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.8187451587916343, | |
| "eval_f1_macro": 0.73684785586885, | |
| "eval_f1_micro": 0.8187451587916342, | |
| "eval_f1_weighted": 0.8150888108444543, | |
| "eval_loss": 0.6740049719810486, | |
| "eval_macro_fpr": 0.01621356652381048, | |
| "eval_macro_sensitivity": 0.7360046444502426, | |
| "eval_macro_specificity": 0.9863212120014355, | |
| "eval_precision": 0.8169592155695241, | |
| "eval_precision_macro": 0.7644187374870298, | |
| "eval_recall": 0.8187451587916343, | |
| "eval_recall_macro": 0.7360046444502426, | |
| "eval_runtime": 119.1613, | |
| "eval_samples_per_second": 10.834, | |
| "eval_steps_per_second": 1.36, | |
| "eval_weighted_fpr": 0.015566790846194785, | |
| "eval_weighted_sensitivity": 0.8187451587916343, | |
| "eval_weighted_specificity": 0.9760730212298985, | |
| "step": 2089 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2400, | |
| "num_train_epochs": 15, | |
| "save_steps": 500, | |
| "total_flos": 7.437850857000346e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |