{ "best_metric": 0.7364675967036229, "best_model_checkpoint": "./CARES/checkpoints/bio-ber-stratified/run-3/checkpoint-4402", "epoch": 62.0, "global_step": 4402, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 2.0, "eval_loss": 0.3057152032852173, "eval_macro_f1": 0.0, "eval_macro_precision": 0.0, "eval_macro_recall": 0.0, "eval_micro_f1": 0.0, "eval_micro_precision": 0.0, "eval_micro_recall": 0.0, "eval_runtime": 2.8103, "eval_samples_per_second": 343.733, "eval_steps_per_second": 11.031, "step": 142 }, { "epoch": 4.0, "eval_loss": 0.2555946707725525, "eval_macro_f1": 0.030103995621237, "eval_macro_precision": 0.11450892857142857, "eval_macro_recall": 0.018604569384720493, "eval_micro_f1": 0.06492679821769573, "eval_micro_precision": 0.9444444444444444, "eval_micro_recall": 0.03361898483849703, "eval_runtime": 2.814, "eval_samples_per_second": 343.287, "eval_steps_per_second": 11.016, "step": 284 }, { "epoch": 6.0, "eval_loss": 0.20202794671058655, "eval_macro_f1": 0.20731282317116273, "eval_macro_precision": 0.31073371688318574, "eval_macro_recall": 0.17971428447401858, "eval_micro_f1": 0.5260370697263901, "eval_micro_precision": 0.7957276368491322, "eval_micro_recall": 0.3928806855636124, "eval_runtime": 2.8153, "eval_samples_per_second": 343.125, "eval_steps_per_second": 11.011, "step": 426 }, { "epoch": 7.04, "learning_rate": 3.3448027530200134e-05, "loss": 0.3166, "step": 500 }, { "epoch": 8.0, "eval_loss": 0.16987857222557068, "eval_macro_f1": 0.33747696352729556, "eval_macro_precision": 0.5216496556534496, "eval_macro_recall": 0.3003629712640149, "eval_micro_f1": 0.6596736596736597, "eval_micro_precision": 0.8032166508987701, "eval_micro_recall": 0.5596572181938035, "eval_runtime": 2.8142, "eval_samples_per_second": 343.259, "eval_steps_per_second": 11.016, "step": 568 }, { "epoch": 10.0, "eval_loss": 0.15612231194972992, "eval_macro_f1": 0.3962525677685097, "eval_macro_precision": 0.5709879791429361, "eval_macro_recall": 0.34789915051543907, "eval_micro_f1": 0.6866002214839424, "eval_micro_precision": 0.7802013422818792, "eval_micro_recall": 0.6130520764667106, "eval_runtime": 2.8176, "eval_samples_per_second": 342.846, "eval_steps_per_second": 11.002, "step": 710 }, { "epoch": 12.0, "eval_loss": 0.15700845420360565, "eval_macro_f1": 0.5033118074728004, "eval_macro_precision": 0.6788170359469108, "eval_macro_recall": 0.4359827145940205, "eval_micro_f1": 0.7075812274368232, "eval_micro_precision": 0.7821229050279329, "eval_micro_recall": 0.6460118655240606, "eval_runtime": 2.9435, "eval_samples_per_second": 328.182, "eval_steps_per_second": 10.532, "step": 852 }, { "epoch": 14.0, "eval_loss": 0.14791876077651978, "eval_macro_f1": 0.5201462693304842, "eval_macro_precision": 0.6808348875622964, "eval_macro_recall": 0.45464762510361434, "eval_micro_f1": 0.7195077813970322, "eval_micro_precision": 0.797752808988764, "eval_micro_recall": 0.6552406064601186, "eval_runtime": 2.814, "eval_samples_per_second": 343.289, "eval_steps_per_second": 11.017, "step": 994 }, { "epoch": 14.08, "learning_rate": 3.091408605063951e-05, "loss": 0.1146, "step": 1000 }, { "epoch": 16.0, "eval_loss": 0.15235331654548645, "eval_macro_f1": 0.560037439235141, "eval_macro_precision": 0.6537080668718289, "eval_macro_recall": 0.5093665280810307, "eval_micro_f1": 0.7277091906721537, "eval_micro_precision": 0.7583988563259471, "eval_micro_recall": 0.6994067237969677, "eval_runtime": 2.8165, "eval_samples_per_second": 342.975, "eval_steps_per_second": 11.006, "step": 1136 }, { "epoch": 18.0, "eval_loss": 0.1468934863805771, "eval_macro_f1": 0.5752898959236763, "eval_macro_precision": 0.6785878888299093, "eval_macro_recall": 0.5191620319354175, "eval_micro_f1": 0.7432950191570881, "eval_micro_precision": 0.7880354505169868, "eval_micro_recall": 0.7033618984838497, "eval_runtime": 2.8153, "eval_samples_per_second": 343.13, "eval_steps_per_second": 11.011, "step": 1278 }, { "epoch": 20.0, "eval_loss": 0.15318024158477783, "eval_macro_f1": 0.5614807929032789, "eval_macro_precision": 0.6891794820810673, "eval_macro_recall": 0.5011545072485702, "eval_micro_f1": 0.7351351351351351, "eval_micro_precision": 0.8108108108108109, "eval_micro_recall": 0.6723796967699407, "eval_runtime": 2.8153, "eval_samples_per_second": 343.128, "eval_steps_per_second": 11.011, "step": 1420 }, { "epoch": 21.13, "learning_rate": 2.83801445710789e-05, "loss": 0.0497, "step": 1500 }, { "epoch": 22.0, "eval_loss": 0.15478584170341492, "eval_macro_f1": 0.5700524565361512, "eval_macro_precision": 0.6592231713192768, "eval_macro_recall": 0.5224052472361357, "eval_micro_f1": 0.7377900935226879, "eval_micro_precision": 0.7773722627737226, "eval_micro_recall": 0.7020435069215557, "eval_runtime": 2.8156, "eval_samples_per_second": 343.089, "eval_steps_per_second": 11.01, "step": 1562 }, { "epoch": 24.0, "eval_loss": 0.16469129920005798, "eval_macro_f1": 0.5893809890315513, "eval_macro_precision": 0.7250493831689879, "eval_macro_recall": 0.5372381591153548, "eval_micro_f1": 0.7337398373983739, "eval_micro_precision": 0.7547038327526132, "eval_micro_recall": 0.7139090309822017, "eval_runtime": 2.8148, "eval_samples_per_second": 343.185, "eval_steps_per_second": 11.013, "step": 1704 }, { "epoch": 26.0, "eval_loss": 0.1553143858909607, "eval_macro_f1": 0.5787478878813199, "eval_macro_precision": 0.6623158627962805, "eval_macro_recall": 0.5281203519575204, "eval_micro_f1": 0.7432293452176895, "eval_micro_precision": 0.7742857142857142, "eval_micro_recall": 0.7145682267633487, "eval_runtime": 2.8124, "eval_samples_per_second": 343.477, "eval_steps_per_second": 11.023, "step": 1846 }, { "epoch": 28.0, "eval_loss": 0.1586785614490509, "eval_macro_f1": 0.5883554607456316, "eval_macro_precision": 0.7177006367498535, "eval_macro_recall": 0.5324948845496986, "eval_micro_f1": 0.7415575465196417, "eval_micro_precision": 0.7768953068592058, "eval_micro_recall": 0.7092946605141727, "eval_runtime": 2.8164, "eval_samples_per_second": 342.99, "eval_steps_per_second": 11.007, "step": 1988 }, { "epoch": 28.17, "learning_rate": 2.5846203091518283e-05, "loss": 0.0242, "step": 2000 }, { "epoch": 30.0, "eval_loss": 0.16228000819683075, "eval_macro_f1": 0.6422229361530924, "eval_macro_precision": 0.790092149978405, "eval_macro_recall": 0.5761555188160953, "eval_micro_f1": 0.75272599366866, "eval_micro_precision": 0.8069381598793364, "eval_micro_recall": 0.7053394858272907, "eval_runtime": 2.8172, "eval_samples_per_second": 342.897, "eval_steps_per_second": 11.004, "step": 2130 }, { "epoch": 32.0, "eval_loss": 0.15960222482681274, "eval_macro_f1": 0.6566298525236257, "eval_macro_precision": 0.74358025279367, "eval_macro_recall": 0.6057522843683747, "eval_micro_f1": 0.7514529914529915, "eval_micro_precision": 0.7805397727272727, "eval_micro_recall": 0.7244561634805537, "eval_runtime": 2.8157, "eval_samples_per_second": 343.071, "eval_steps_per_second": 11.01, "step": 2272 }, { "epoch": 34.0, "eval_loss": 0.1677185595035553, "eval_macro_f1": 0.6556730308579793, "eval_macro_precision": 0.7959295044168222, "eval_macro_recall": 0.5949893771939523, "eval_micro_f1": 0.7518796992481203, "eval_micro_precision": 0.7806955287437899, "eval_micro_recall": 0.7251153592617007, "eval_runtime": 2.8129, "eval_samples_per_second": 343.412, "eval_steps_per_second": 11.02, "step": 2414 }, { "epoch": 35.21, "learning_rate": 2.331226161195767e-05, "loss": 0.0135, "step": 2500 }, { "epoch": 36.0, "eval_loss": 0.16759739816188812, "eval_macro_f1": 0.6573674747389432, "eval_macro_precision": 0.771138294992533, "eval_macro_recall": 0.595599674775744, "eval_micro_f1": 0.7523187907935418, "eval_micro_precision": 0.7855093256814921, "eval_micro_recall": 0.7218193803559657, "eval_runtime": 2.8149, "eval_samples_per_second": 343.173, "eval_steps_per_second": 11.013, "step": 2556 }, { "epoch": 38.0, "eval_loss": 0.1679902970790863, "eval_macro_f1": 0.6639964013713953, "eval_macro_precision": 0.758530396471428, "eval_macro_recall": 0.6080264740396573, "eval_micro_f1": 0.7524888431170615, "eval_micro_precision": 0.7851002865329513, "eval_micro_recall": 0.7224785761371127, "eval_runtime": 2.8145, "eval_samples_per_second": 343.228, "eval_steps_per_second": 11.015, "step": 2698 }, { "epoch": 40.0, "eval_loss": 0.17791299521923065, "eval_macro_f1": 0.706771883149178, "eval_macro_precision": 0.8182896833237783, "eval_macro_recall": 0.6422691238382328, "eval_micro_f1": 0.7502562350529552, "eval_micro_precision": 0.7787234042553192, "eval_micro_recall": 0.7237969676994067, "eval_runtime": 2.8149, "eval_samples_per_second": 343.168, "eval_steps_per_second": 11.013, "step": 2840 }, { "epoch": 42.0, "eval_loss": 0.17416273057460785, "eval_macro_f1": 0.7042921705265328, "eval_macro_precision": 0.8549297777881784, "eval_macro_recall": 0.6327733363764919, "eval_micro_f1": 0.7576791808873721, "eval_micro_precision": 0.7855626326963907, "eval_micro_recall": 0.7317073170731707, "eval_runtime": 2.8128, "eval_samples_per_second": 343.433, "eval_steps_per_second": 11.021, "step": 2982 }, { "epoch": 42.25, "learning_rate": 2.077832013239705e-05, "loss": 0.0089, "step": 3000 }, { "epoch": 44.0, "eval_loss": 0.17721112072467804, "eval_macro_f1": 0.7133417842190977, "eval_macro_precision": 0.8405823975317646, "eval_macro_recall": 0.6551419828069049, "eval_micro_f1": 0.7551782682512733, "eval_micro_precision": 0.7787114845938375, "eval_micro_recall": 0.7330257086354647, "eval_runtime": 2.8136, "eval_samples_per_second": 343.328, "eval_steps_per_second": 11.018, "step": 3124 }, { "epoch": 46.0, "eval_loss": 0.17867934703826904, "eval_macro_f1": 0.7067733545432416, "eval_macro_precision": 0.8456299689876698, "eval_macro_recall": 0.6424972968645987, "eval_micro_f1": 0.7581743869209809, "eval_micro_precision": 0.7843551797040169, "eval_micro_recall": 0.7336849044166117, "eval_runtime": 2.8132, "eval_samples_per_second": 343.385, "eval_steps_per_second": 11.02, "step": 3266 }, { "epoch": 48.0, "eval_loss": 0.18271668255329132, "eval_macro_f1": 0.7082847532013592, "eval_macro_precision": 0.8433782766054858, "eval_macro_recall": 0.641905005936743, "eval_micro_f1": 0.7553444180522565, "eval_micro_precision": 0.7783216783216783, "eval_micro_recall": 0.7336849044166117, "eval_runtime": 2.8144, "eval_samples_per_second": 343.24, "eval_steps_per_second": 11.015, "step": 3408 }, { "epoch": 49.3, "learning_rate": 1.8244378652836435e-05, "loss": 0.0062, "step": 3500 }, { "epoch": 50.0, "eval_loss": 0.18576982617378235, "eval_macro_f1": 0.7214487691145703, "eval_macro_precision": 0.8418509428350153, "eval_macro_recall": 0.6584015327988482, "eval_micro_f1": 0.7551299589603283, "eval_micro_precision": 0.7846481876332623, "eval_micro_recall": 0.7277521423862887, "eval_runtime": 2.8151, "eval_samples_per_second": 343.147, "eval_steps_per_second": 11.012, "step": 3550 }, { "epoch": 52.0, "eval_loss": 0.18477760255336761, "eval_macro_f1": 0.7358242812719007, "eval_macro_precision": 0.8363784298641037, "eval_macro_recall": 0.682320650811777, "eval_micro_f1": 0.7623529411764705, "eval_micro_precision": 0.7777777777777778, "eval_micro_recall": 0.7475280158206987, "eval_runtime": 2.8152, "eval_samples_per_second": 343.143, "eval_steps_per_second": 11.012, "step": 3692 }, { "epoch": 54.0, "eval_loss": 0.18875756859779358, "eval_macro_f1": 0.7155614476825691, "eval_macro_precision": 0.8418373811449409, "eval_macro_recall": 0.6438779359984136, "eval_micro_f1": 0.7593035165585524, "eval_micro_precision": 0.7875354107648725, "eval_micro_recall": 0.7330257086354647, "eval_runtime": 2.8151, "eval_samples_per_second": 343.149, "eval_steps_per_second": 11.012, "step": 3834 }, { "epoch": 56.0, "eval_loss": 0.18950717151165009, "eval_macro_f1": 0.7224219338762576, "eval_macro_precision": 0.8143469166127995, "eval_macro_recall": 0.6672755163012613, "eval_micro_f1": 0.7565011820330969, "eval_micro_precision": 0.775623268698061, "eval_micro_recall": 0.7382992748846408, "eval_runtime": 2.8155, "eval_samples_per_second": 343.104, "eval_steps_per_second": 11.011, "step": 3976 }, { "epoch": 56.34, "learning_rate": 1.5710437173275818e-05, "loss": 0.0047, "step": 4000 }, { "epoch": 58.0, "eval_loss": 0.19801756739616394, "eval_macro_f1": 0.7241508401060731, "eval_macro_precision": 0.8273979735617242, "eval_macro_recall": 0.6621892130462943, "eval_micro_f1": 0.7576676777890125, "eval_micro_precision": 0.7751724137931034, "eval_micro_recall": 0.7409360580092288, "eval_runtime": 2.8137, "eval_samples_per_second": 343.316, "eval_steps_per_second": 11.017, "step": 4118 }, { "epoch": 60.0, "eval_loss": 0.194396510720253, "eval_macro_f1": 0.7287972344248086, "eval_macro_precision": 0.8203998323639319, "eval_macro_recall": 0.6775029786499779, "eval_micro_f1": 0.7583222370173102, "eval_micro_precision": 0.7659717552118359, "eval_micro_recall": 0.7508239947264338, "eval_runtime": 2.8142, "eval_samples_per_second": 343.264, "eval_steps_per_second": 11.016, "step": 4260 }, { "epoch": 62.0, "eval_loss": 0.19370318949222565, "eval_macro_f1": 0.7364675967036229, "eval_macro_precision": 0.8295903604136947, "eval_macro_recall": 0.6817263379239634, "eval_micro_f1": 0.7599051811716898, "eval_micro_precision": 0.7813370473537604, "eval_micro_recall": 0.7396176664469347, "eval_runtime": 2.8163, "eval_samples_per_second": 343.005, "eval_steps_per_second": 11.007, "step": 4402 } ], "max_steps": 7100, "num_train_epochs": 100, "total_flos": 3.3093548336434176e+16, "trial_name": null, "trial_params": { "adam_epsilon": 3.039596615397574e-08, "learning_rate": 3.349363847683222e-05, "per_device_eval_batch_size": 32, "per_device_train_batch_size": 32, "seed": 326, "warmup_steps": 491, "weight_decay": 0.01214452830676255 } }