| { | |
| "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 | |
| } | |
| } | |