| { | |
| "best_metric": 0.5278386153994516, | |
| "best_model_checkpoint": "./CARES/checkpoints/bio-ber/checkpoint-2679", | |
| "epoch": 19.0, | |
| "global_step": 2679, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.2276119738817215, | |
| "eval_macro_f1": 0.09383679038919833, | |
| "eval_macro_precision": 0.12681117070705897, | |
| "eval_macro_recall": 0.07667770066244797, | |
| "eval_micro_f1": 0.36897880539499034, | |
| "eval_micro_precision": 0.7053406998158379, | |
| "eval_micro_recall": 0.24983692106979777, | |
| "eval_runtime": 2.8509, | |
| "eval_samples_per_second": 338.842, | |
| "eval_steps_per_second": 21.397, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.19956032931804657, | |
| "eval_macro_f1": 0.13389070512548568, | |
| "eval_macro_precision": 0.1949068871295339, | |
| "eval_macro_recall": 0.11313811988335658, | |
| "eval_micro_f1": 0.4958460865763008, | |
| "eval_micro_precision": 0.7519893899204244, | |
| "eval_micro_recall": 0.3698630136986301, | |
| "eval_runtime": 2.8244, | |
| "eval_samples_per_second": 342.022, | |
| "eval_steps_per_second": 21.598, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.18670037388801575, | |
| "eval_macro_f1": 0.22751166658204755, | |
| "eval_macro_precision": 0.46178526182432433, | |
| "eval_macro_recall": 0.18375879789138674, | |
| "eval_micro_f1": 0.5680033071517155, | |
| "eval_micro_precision": 0.7753950338600452, | |
| "eval_micro_recall": 0.4481409001956947, | |
| "eval_runtime": 2.8618, | |
| "eval_samples_per_second": 337.545, | |
| "eval_steps_per_second": 21.315, | |
| "step": 423 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "learning_rate": 4.822695035460993e-05, | |
| "loss": 0.2081, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.18518751859664917, | |
| "eval_macro_f1": 0.34478852490640566, | |
| "eval_macro_precision": 0.5134144581169723, | |
| "eval_macro_recall": 0.2886504191522892, | |
| "eval_micro_f1": 0.6130150173276858, | |
| "eval_micro_precision": 0.7481203007518797, | |
| "eval_micro_recall": 0.5192433137638617, | |
| "eval_runtime": 2.8317, | |
| "eval_samples_per_second": 341.135, | |
| "eval_steps_per_second": 21.542, | |
| "step": 564 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_loss": 0.18300610780715942, | |
| "eval_macro_f1": 0.4238271955718499, | |
| "eval_macro_precision": 0.6346282008083806, | |
| "eval_macro_recall": 0.36978265721033565, | |
| "eval_micro_f1": 0.6232315711094564, | |
| "eval_micro_precision": 0.7259323503902863, | |
| "eval_micro_recall": 0.5459882583170255, | |
| "eval_runtime": 2.8313, | |
| "eval_samples_per_second": 341.185, | |
| "eval_steps_per_second": 21.545, | |
| "step": 705 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_loss": 0.18070942163467407, | |
| "eval_macro_f1": 0.427572174915214, | |
| "eval_macro_precision": 0.5867883838688037, | |
| "eval_macro_recall": 0.3661335629128818, | |
| "eval_micro_f1": 0.6416332482683194, | |
| "eval_micro_precision": 0.7272727272727273, | |
| "eval_micro_recall": 0.5740378343118069, | |
| "eval_runtime": 2.822, | |
| "eval_samples_per_second": 342.307, | |
| "eval_steps_per_second": 21.616, | |
| "step": 846 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_loss": 0.18207068741321564, | |
| "eval_macro_f1": 0.47285593173212287, | |
| "eval_macro_precision": 0.5718512640389848, | |
| "eval_macro_recall": 0.4270343269721778, | |
| "eval_micro_f1": 0.6605374823196605, | |
| "eval_micro_precision": 0.7212355212355213, | |
| "eval_micro_recall": 0.6092628832354859, | |
| "eval_runtime": 2.8204, | |
| "eval_samples_per_second": 342.507, | |
| "eval_steps_per_second": 21.628, | |
| "step": 987 | |
| }, | |
| { | |
| "epoch": 7.09, | |
| "learning_rate": 4.645390070921986e-05, | |
| "loss": 0.115, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 0.18614797294139862, | |
| "eval_macro_f1": 0.48637001730423257, | |
| "eval_macro_precision": 0.6057345339339811, | |
| "eval_macro_recall": 0.4271528815196963, | |
| "eval_micro_f1": 0.6618128867855844, | |
| "eval_micro_precision": 0.7487644151565074, | |
| "eval_micro_recall": 0.5929549902152642, | |
| "eval_runtime": 2.8241, | |
| "eval_samples_per_second": 342.057, | |
| "eval_steps_per_second": 21.6, | |
| "step": 1128 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_loss": 0.18139992654323578, | |
| "eval_macro_f1": 0.4968758987364566, | |
| "eval_macro_precision": 0.6188063911104451, | |
| "eval_macro_recall": 0.4425857583556203, | |
| "eval_micro_f1": 0.6716259298618491, | |
| "eval_micro_precision": 0.7348837209302326, | |
| "eval_micro_recall": 0.6183953033268101, | |
| "eval_runtime": 2.8195, | |
| "eval_samples_per_second": 342.612, | |
| "eval_steps_per_second": 21.635, | |
| "step": 1269 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_loss": 0.19238035380840302, | |
| "eval_macro_f1": 0.4762674411195111, | |
| "eval_macro_precision": 0.5687316855202853, | |
| "eval_macro_recall": 0.42920385227971614, | |
| "eval_micro_f1": 0.6690066690066689, | |
| "eval_micro_precision": 0.7241641337386018, | |
| "eval_micro_recall": 0.6216568819308546, | |
| "eval_runtime": 2.8152, | |
| "eval_samples_per_second": 343.137, | |
| "eval_steps_per_second": 21.668, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 10.64, | |
| "learning_rate": 4.468085106382979e-05, | |
| "loss": 0.0668, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_loss": 0.20003741979599, | |
| "eval_macro_f1": 0.5041732295700452, | |
| "eval_macro_precision": 0.5819236883447072, | |
| "eval_macro_recall": 0.458955350441925, | |
| "eval_micro_f1": 0.6811645036829183, | |
| "eval_micro_precision": 0.7367223065250379, | |
| "eval_micro_recall": 0.6333985649054142, | |
| "eval_runtime": 2.8186, | |
| "eval_samples_per_second": 342.72, | |
| "eval_steps_per_second": 21.642, | |
| "step": 1551 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_loss": 0.21071653068065643, | |
| "eval_macro_f1": 0.5060970351192071, | |
| "eval_macro_precision": 0.6216233664621571, | |
| "eval_macro_recall": 0.46859394229849854, | |
| "eval_micro_f1": 0.6627946703108984, | |
| "eval_micro_precision": 0.6958393113342898, | |
| "eval_micro_recall": 0.6327462491846053, | |
| "eval_runtime": 2.817, | |
| "eval_samples_per_second": 342.914, | |
| "eval_steps_per_second": 21.654, | |
| "step": 1692 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_loss": 0.20960789918899536, | |
| "eval_macro_f1": 0.5055202034151333, | |
| "eval_macro_precision": 0.6090230781362929, | |
| "eval_macro_recall": 0.450320346412875, | |
| "eval_micro_f1": 0.6799041424169804, | |
| "eval_micro_precision": 0.7154178674351584, | |
| "eval_micro_recall": 0.6477495107632094, | |
| "eval_runtime": 4.7452, | |
| "eval_samples_per_second": 203.576, | |
| "eval_steps_per_second": 12.855, | |
| "step": 1833 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_loss": 0.21599768102169037, | |
| "eval_macro_f1": 0.5190622646217878, | |
| "eval_macro_precision": 0.6551140465404754, | |
| "eval_macro_recall": 0.47196058443148803, | |
| "eval_micro_f1": 0.6803764377831997, | |
| "eval_micro_precision": 0.7305389221556886, | |
| "eval_micro_recall": 0.6366601435094585, | |
| "eval_runtime": 2.819, | |
| "eval_samples_per_second": 342.677, | |
| "eval_steps_per_second": 21.639, | |
| "step": 1974 | |
| }, | |
| { | |
| "epoch": 14.18, | |
| "learning_rate": 4.2907801418439716e-05, | |
| "loss": 0.0365, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_loss": 0.21732226014137268, | |
| "eval_macro_f1": 0.4982722788861393, | |
| "eval_macro_precision": 0.5812880908852627, | |
| "eval_macro_recall": 0.46102462821831114, | |
| "eval_micro_f1": 0.6856754921928038, | |
| "eval_micro_precision": 0.7147912243453645, | |
| "eval_micro_recall": 0.6588388780169602, | |
| "eval_runtime": 2.837, | |
| "eval_samples_per_second": 340.498, | |
| "eval_steps_per_second": 21.501, | |
| "step": 2115 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_loss": 0.23044872283935547, | |
| "eval_macro_f1": 0.5067733640623313, | |
| "eval_macro_precision": 0.6404358198207177, | |
| "eval_macro_recall": 0.46429191921900426, | |
| "eval_micro_f1": 0.6748382703438883, | |
| "eval_micro_precision": 0.7058404558404558, | |
| "eval_micro_recall": 0.6464448793215917, | |
| "eval_runtime": 2.8419, | |
| "eval_samples_per_second": 339.909, | |
| "eval_steps_per_second": 21.464, | |
| "step": 2256 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_loss": 0.23040802776813507, | |
| "eval_macro_f1": 0.5182045437347171, | |
| "eval_macro_precision": 0.6102649650627312, | |
| "eval_macro_recall": 0.474946805831835, | |
| "eval_micro_f1": 0.6864349011588274, | |
| "eval_micro_precision": 0.7187723054960742, | |
| "eval_micro_recall": 0.6568819308545336, | |
| "eval_runtime": 2.8516, | |
| "eval_samples_per_second": 338.756, | |
| "eval_steps_per_second": 21.391, | |
| "step": 2397 | |
| }, | |
| { | |
| "epoch": 17.73, | |
| "learning_rate": 4.1134751773049644e-05, | |
| "loss": 0.021, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_loss": 0.23820702731609344, | |
| "eval_macro_f1": 0.5109008179961498, | |
| "eval_macro_precision": 0.6241805280991644, | |
| "eval_macro_recall": 0.4711108204223084, | |
| "eval_micro_f1": 0.6758481692979509, | |
| "eval_micro_precision": 0.6966759002770083, | |
| "eval_micro_recall": 0.6562296151337247, | |
| "eval_runtime": 2.8209, | |
| "eval_samples_per_second": 342.448, | |
| "eval_steps_per_second": 21.625, | |
| "step": 2538 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_loss": 0.23519271612167358, | |
| "eval_macro_f1": 0.5278386153994516, | |
| "eval_macro_precision": 0.6066088954753265, | |
| "eval_macro_recall": 0.48873540160049156, | |
| "eval_micro_f1": 0.6875645883568722, | |
| "eval_micro_precision": 0.7284671532846715, | |
| "eval_micro_recall": 0.6510110893672537, | |
| "eval_runtime": 2.8218, | |
| "eval_samples_per_second": 342.33, | |
| "eval_steps_per_second": 21.617, | |
| "step": 2679 | |
| } | |
| ], | |
| "max_steps": 14100, | |
| "num_train_epochs": 100, | |
| "total_flos": 1.0688023305003456e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |