| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 12.0, | |
| "eval_steps": 500, | |
| "global_step": 492, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_B": { | |
| "f1-score": 0.6054590570719602, | |
| "precision": 0.8472222222222222, | |
| "recall": 0.47104247104247104, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9281628372580799, | |
| "precision": 0.8894522863277146, | |
| "recall": 0.9703962123099925, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.826809241932404, | |
| "precision": 0.8983402489626556, | |
| "recall": 0.7658295012380616, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.8905867765825543, | |
| "eval_loss": 0.3152744174003601, | |
| "eval_macro avg": { | |
| "f1-score": 0.786810378754148, | |
| "precision": 0.8783382525041974, | |
| "recall": 0.735756061530175, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3493, | |
| "eval_samples_per_second": 59.291, | |
| "eval_steps_per_second": 7.411, | |
| "eval_weighted avg": { | |
| "f1-score": 0.8853532384745914, | |
| "precision": 0.8901456571293072, | |
| "recall": 0.8905867765825543, | |
| "support": 29841.0 | |
| }, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_B": { | |
| "f1-score": 0.8510791366906474, | |
| "precision": 0.7966329966329966, | |
| "recall": 0.9135135135135135, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9477035236938031, | |
| "precision": 0.9247806497510078, | |
| "recall": 0.9717916770495888, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8622397155916709, | |
| "precision": 0.9339843212763032, | |
| "recall": 0.8007310458672326, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9206460909486948, | |
| "eval_loss": 0.22530655562877655, | |
| "eval_macro avg": { | |
| "f1-score": 0.8870074586587071, | |
| "precision": 0.8851326558867693, | |
| "recall": 0.895345412143445, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.356, | |
| "eval_samples_per_second": 58.999, | |
| "eval_steps_per_second": 7.375, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9192209950358067, | |
| "precision": 0.9218352098333846, | |
| "recall": 0.9206460909486948, | |
| "support": 29841.0 | |
| }, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_B": { | |
| "f1-score": 0.8718693284936478, | |
| "precision": 0.8226027397260274, | |
| "recall": 0.9274131274131274, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.95727385377943, | |
| "precision": 0.9520828198175992, | |
| "recall": 0.9625218041365562, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8947336671291549, | |
| "precision": 0.91600790513834, | |
| "recall": 0.8744251857092324, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9359605911330049, | |
| "eval_loss": 0.18091395497322083, | |
| "eval_macro avg": { | |
| "f1-score": 0.9079589498007442, | |
| "precision": 0.8968978215606556, | |
| "recall": 0.9214533724196388, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3616, | |
| "eval_samples_per_second": 58.756, | |
| "eval_steps_per_second": 7.344, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9357932672298482, | |
| "precision": 0.9362110978540797, | |
| "recall": 0.9359605911330049, | |
| "support": 29841.0 | |
| }, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_B": { | |
| "f1-score": 0.8863383931877082, | |
| "precision": 0.8513513513513513, | |
| "recall": 0.9243243243243243, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9597514129823103, | |
| "precision": 0.942660770931462, | |
| "recall": 0.9774732120608024, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8954686530105526, | |
| "precision": 0.9454712282081531, | |
| "recall": 0.8504893290885509, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9390771086759827, | |
| "eval_loss": 0.19618020951747894, | |
| "eval_macro avg": { | |
| "f1-score": 0.913852819726857, | |
| "precision": 0.9131611168303221, | |
| "recall": 0.9174289551578925, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.355, | |
| "eval_samples_per_second": 59.041, | |
| "eval_steps_per_second": 7.38, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9382959675228925, | |
| "precision": 0.9394969959174669, | |
| "recall": 0.9390771086759827, | |
| "support": 29841.0 | |
| }, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_B": { | |
| "f1-score": 0.8794862108046846, | |
| "precision": 0.8609467455621301, | |
| "recall": 0.8988416988416988, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.955187788105494, | |
| "precision": 0.9656717938270347, | |
| "recall": 0.9449289808123599, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8953622519612366, | |
| "precision": 0.8764539808018069, | |
| "recall": 0.9151043509020163, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9344525987734995, | |
| "eval_loss": 0.1936398446559906, | |
| "eval_macro avg": { | |
| "f1-score": 0.9100120836238051, | |
| "precision": 0.9010241733969906, | |
| "recall": 0.9196250101853582, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3533, | |
| "eval_samples_per_second": 59.115, | |
| "eval_steps_per_second": 7.389, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9348997979361299, | |
| "precision": 0.9357708116290517, | |
| "recall": 0.9344525987734995, | |
| "support": 29841.0 | |
| }, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_B": { | |
| "f1-score": 0.8813928182807399, | |
| "precision": 0.8310533515731874, | |
| "recall": 0.9382239382239382, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9576389581878055, | |
| "precision": 0.958739197762126, | |
| "recall": 0.9565412409668577, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8994715278190131, | |
| "precision": 0.9059808612440191, | |
| "recall": 0.8930550642612899, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9377031600817667, | |
| "eval_loss": 0.19472843408584595, | |
| "eval_macro avg": { | |
| "f1-score": 0.9128344347625195, | |
| "precision": 0.8985911368597775, | |
| "recall": 0.9292734144840287, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.351, | |
| "eval_samples_per_second": 59.216, | |
| "eval_steps_per_second": 7.402, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9377985799116962, | |
| "precision": 0.9382038060921168, | |
| "recall": 0.9377031600817667, | |
| "support": 29841.0 | |
| }, | |
| "step": 246 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_B": { | |
| "f1-score": 0.8952959028831563, | |
| "precision": 0.8799403430275914, | |
| "recall": 0.9111969111969112, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9592318906147891, | |
| "precision": 0.9675979919882359, | |
| "recall": 0.9510092200348866, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9041714947856316, | |
| "precision": 0.8888256065611118, | |
| "recall": 0.9200565970993987, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.940484568211521, | |
| "eval_loss": 0.20142190158367157, | |
| "eval_macro avg": { | |
| "f1-score": 0.919566429427859, | |
| "precision": 0.9121213138589797, | |
| "recall": 0.9274209094437321, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3501, | |
| "eval_samples_per_second": 59.256, | |
| "eval_steps_per_second": 7.407, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9408087707079646, | |
| "precision": 0.9414063343289258, | |
| "recall": 0.940484568211521, | |
| "support": 29841.0 | |
| }, | |
| "step": 287 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_B": { | |
| "f1-score": 0.8921130952380952, | |
| "precision": 0.8607322325915291, | |
| "recall": 0.9258687258687258, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9613341204250295, | |
| "precision": 0.9490554125588849, | |
| "recall": 0.9739347121853975, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9013343126453666, | |
| "precision": 0.9371261295659921, | |
| "recall": 0.8681759226506308, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9417914949230924, | |
| "eval_loss": 0.21689558029174805, | |
| "eval_macro avg": { | |
| "f1-score": 0.9182605094361639, | |
| "precision": 0.9156379249054686, | |
| "recall": 0.9226597869015847, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3576, | |
| "eval_samples_per_second": 58.928, | |
| "eval_steps_per_second": 7.366, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9412778355352336, | |
| "precision": 0.9418321034499257, | |
| "recall": 0.9417914949230924, | |
| "support": 29841.0 | |
| }, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_B": { | |
| "f1-score": 0.8985947588302315, | |
| "precision": 0.8841554559043349, | |
| "recall": 0.9135135135135135, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9622013609496847, | |
| "precision": 0.958962427602594, | |
| "recall": 0.9654622476949912, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9079425609247452, | |
| "precision": 0.9177306673090821, | |
| "recall": 0.8983610423299139, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9441372608156563, | |
| "eval_loss": 0.23563022911548615, | |
| "eval_macro avg": { | |
| "f1-score": 0.9229128935682205, | |
| "precision": 0.9202828502720036, | |
| "recall": 0.9257789345128061, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3543, | |
| "eval_samples_per_second": 59.071, | |
| "eval_steps_per_second": 7.384, | |
| "eval_weighted avg": { | |
| "f1-score": 0.944020353853535, | |
| "precision": 0.9439977284504704, | |
| "recall": 0.9441372608156563, | |
| "support": 29841.0 | |
| }, | |
| "step": 369 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_B": { | |
| "f1-score": 0.883806713389893, | |
| "precision": 0.846045197740113, | |
| "recall": 0.9250965250965251, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9612357047378584, | |
| "precision": 0.9549009000147544, | |
| "recall": 0.9676551208572141, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.904241839135944, | |
| "precision": 0.9259762728620861, | |
| "recall": 0.8835043037377668, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9418920277470594, | |
| "eval_loss": 0.2491447478532791, | |
| "eval_macro avg": { | |
| "f1-score": 0.9164280857545651, | |
| "precision": 0.9089741235389845, | |
| "recall": 0.9254186498971686, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3513, | |
| "eval_samples_per_second": 59.204, | |
| "eval_steps_per_second": 7.401, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9416775291416837, | |
| "precision": 0.941956364063297, | |
| "recall": 0.9418920277470594, | |
| "support": 29841.0 | |
| }, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_B": { | |
| "f1-score": 0.8962935230250841, | |
| "precision": 0.8699127906976745, | |
| "recall": 0.9243243243243243, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9609275419158742, | |
| "precision": 0.9454922579711543, | |
| "recall": 0.9768751557438325, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8992907801418439, | |
| "precision": 0.9427204551331781, | |
| "recall": 0.8596863577408325, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9412888308032573, | |
| "eval_loss": 0.2823159396648407, | |
| "eval_macro avg": { | |
| "f1-score": 0.9188372816942675, | |
| "precision": 0.9193751679340023, | |
| "recall": 0.9202952792696631, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.359, | |
| "eval_samples_per_second": 58.865, | |
| "eval_steps_per_second": 7.358, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9406050851929385, | |
| "precision": 0.9414245970352596, | |
| "recall": 0.9412888308032573, | |
| "support": 29841.0 | |
| }, | |
| "step": 451 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_B": { | |
| "f1-score": 0.896006028636021, | |
| "precision": 0.8749080206033848, | |
| "recall": 0.9181467181467181, | |
| "support": 1295.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9606028094513335, | |
| "precision": 0.9618267212950934, | |
| "recall": 0.9593820084724645, | |
| "support": 20065.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.9053041477373296, | |
| "precision": 0.9059990552668871, | |
| "recall": 0.9046103053885155, | |
| "support": 8481.0 | |
| }, | |
| "eval_accuracy": 0.9420260715123487, | |
| "eval_loss": 0.2665592133998871, | |
| "eval_macro avg": { | |
| "f1-score": 0.9206376619415613, | |
| "precision": 0.9142445990551217, | |
| "recall": 0.9273796773358992, | |
| "support": 29841.0 | |
| }, | |
| "eval_runtime": 1.3553, | |
| "eval_samples_per_second": 59.028, | |
| "eval_steps_per_second": 7.379, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9420832966618057, | |
| "precision": 0.9421881651816595, | |
| "recall": 0.9420260715123487, | |
| "support": 29841.0 | |
| }, | |
| "step": 492 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 656, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 16, | |
| "save_steps": 500, | |
| "total_flos": 1725439832827200.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |