{ "best_metric": 0.7784317119612255, "best_model_checkpoint": "DocLayNet/layout-xlm-base-finetuned-DocLayNet-base_paragraphs_ml512-v6/checkpoint-5600", "epoch": 2.9850746268656714, "global_step": 5600, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.11, "eval_accuracy": 0.8841533429944805, "eval_f1": 0.10664094791953704, "eval_loss": 0.4427741765975952, "eval_precision": 0.11536168521462639, "eval_recall": 0.09914602903501281, "eval_runtime": 348.7843, "eval_samples_per_second": 4.607, "eval_steps_per_second": 0.29, "step": 200 }, { "epoch": 0.21, "eval_accuracy": 0.9242655812394248, "eval_f1": 0.44395873404441333, "eval_loss": 0.30403900146484375, "eval_precision": 0.4547734193086154, "eval_recall": 0.4336464560204953, "eval_runtime": 350.1211, "eval_samples_per_second": 4.59, "eval_steps_per_second": 0.288, "step": 400 }, { "epoch": 0.27, "learning_rate": 1.3209054593874834e-05, "loss": 0.7241, "step": 500 }, { "epoch": 0.32, "eval_accuracy": 0.9359434268564053, "eval_f1": 0.5543897040741045, "eval_loss": 0.22647875547409058, "eval_precision": 0.5330233291298865, "eval_recall": 0.5775405636208369, "eval_runtime": 342.3688, "eval_samples_per_second": 4.694, "eval_steps_per_second": 0.295, "step": 600 }, { "epoch": 0.43, "eval_accuracy": 0.947861481323102, "eval_f1": 0.6015281512784394, "eval_loss": 0.2140066921710968, "eval_precision": 0.6013484680378937, "eval_recall": 0.6017079419299743, "eval_runtime": 342.7133, "eval_samples_per_second": 4.689, "eval_steps_per_second": 0.295, "step": 800 }, { "epoch": 0.53, "learning_rate": 1.927439656448986e-05, "loss": 0.2343, "step": 1000 }, { "epoch": 0.53, "eval_accuracy": 0.9402091136821377, "eval_f1": 0.6132131856006622, "eval_loss": 0.285193532705307, "eval_precision": 0.6641768748132656, "eval_recall": 0.5695132365499573, "eval_runtime": 341.4863, "eval_samples_per_second": 4.706, "eval_steps_per_second": 0.296, "step": 1000 }, { "epoch": 0.64, "eval_accuracy": 0.9539986854504707, "eval_f1": 0.6604133950171894, "eval_loss": 0.16944007575511932, "eval_precision": 0.6564846848367226, "eval_recall": 0.6643894107600341, "eval_runtime": 342.4627, "eval_samples_per_second": 4.692, "eval_steps_per_second": 0.295, "step": 1200 }, { "epoch": 0.75, "eval_accuracy": 0.9354234142916347, "eval_f1": 0.6198065842234727, "eval_loss": 0.230770543217659, "eval_precision": 0.5118828964212166, "eval_recall": 0.785397096498719, "eval_runtime": 332.1227, "eval_samples_per_second": 4.839, "eval_steps_per_second": 0.304, "step": 1400 }, { "epoch": 0.8, "learning_rate": 1.7793573226714055e-05, "loss": 0.1913, "step": 1500 }, { "epoch": 0.85, "eval_accuracy": 0.9593994250825553, "eval_f1": 0.6589563286454478, "eval_loss": 0.1601293832063675, "eval_precision": 0.7189582071471835, "eval_recall": 0.6081981212638771, "eval_runtime": 327.08, "eval_samples_per_second": 4.913, "eval_steps_per_second": 0.309, "step": 1600 }, { "epoch": 0.96, "eval_accuracy": 0.9540725958657681, "eval_f1": 0.6596589238459277, "eval_loss": 0.16707618534564972, "eval_precision": 0.5790424570912376, "eval_recall": 0.7663535439795047, "eval_runtime": 324.9043, "eval_samples_per_second": 4.946, "eval_steps_per_second": 0.311, "step": 1800 }, { "epoch": 1.07, "learning_rate": 1.6315711535613804e-05, "loss": 0.1346, "step": 2000 }, { "epoch": 1.07, "eval_accuracy": 0.9611943923112051, "eval_f1": 0.6985545993817363, "eval_loss": 0.15802155435085297, "eval_precision": 0.6837585868498528, "eval_recall": 0.71400512382579, "eval_runtime": 326.3436, "eval_samples_per_second": 4.924, "eval_steps_per_second": 0.309, "step": 2000 }, { "epoch": 1.17, "eval_accuracy": 0.9597082650321906, "eval_f1": 0.6896523517382412, "eval_loss": 0.14230071008205414, "eval_precision": 0.661773940345369, "eval_recall": 0.7199829205807002, "eval_runtime": 352.3832, "eval_samples_per_second": 4.56, "eval_steps_per_second": 0.287, "step": 2200 }, { "epoch": 1.28, "eval_accuracy": 0.9662862919936542, "eval_f1": 0.6980116745713244, "eval_loss": 0.15801101922988892, "eval_precision": 0.7489724016441573, "eval_recall": 0.6535439795046969, "eval_runtime": 346.3949, "eval_samples_per_second": 4.639, "eval_steps_per_second": 0.292, "step": 2400 }, { "epoch": 1.33, "learning_rate": 1.483784984451355e-05, "loss": 0.098, "step": 2500 }, { "epoch": 1.39, "eval_accuracy": 0.9615850616492053, "eval_f1": 0.6800371073905552, "eval_loss": 0.1394117921590805, "eval_precision": 0.7044019401482566, "eval_recall": 0.6573014517506405, "eval_runtime": 340.6651, "eval_samples_per_second": 4.717, "eval_steps_per_second": 0.296, "step": 2600 }, { "epoch": 1.49, "eval_accuracy": 0.9685537579486693, "eval_f1": 0.725116373203805, "eval_loss": 0.1756211668252945, "eval_precision": 0.6892651019622932, "eval_recall": 0.7649017933390265, "eval_runtime": 336.4339, "eval_samples_per_second": 4.777, "eval_steps_per_second": 0.3, "step": 2800 }, { "epoch": 1.6, "learning_rate": 1.33599881534133e-05, "loss": 0.0999, "step": 3000 }, { "epoch": 1.6, "eval_accuracy": 0.9636387153313958, "eval_f1": 0.69845832244578, "eval_loss": 0.154231458902359, "eval_precision": 0.7126733025239957, "eval_recall": 0.684799316823228, "eval_runtime": 338.3198, "eval_samples_per_second": 4.75, "eval_steps_per_second": 0.299, "step": 3000 }, { "epoch": 1.71, "eval_accuracy": 0.9670465134081412, "eval_f1": 0.7096949152542371, "eval_loss": 0.11871206015348434, "eval_precision": 0.7538166106577052, "eval_recall": 0.6704526046114432, "eval_runtime": 330.1098, "eval_samples_per_second": 4.868, "eval_steps_per_second": 0.306, "step": 3200 }, { "epoch": 1.81, "eval_accuracy": 0.9585151397566763, "eval_f1": 0.7426724326213252, "eval_loss": 0.17930778861045837, "eval_precision": 0.7601716891710633, "eval_recall": 0.7259607173356106, "eval_runtime": 334.0583, "eval_samples_per_second": 4.811, "eval_steps_per_second": 0.302, "step": 3400 }, { "epoch": 1.87, "learning_rate": 1.1879164815637496e-05, "loss": 0.0972, "step": 3500 }, { "epoch": 1.92, "eval_accuracy": 0.9621024345562867, "eval_f1": 0.7188762229602368, "eval_loss": 0.18358349800109863, "eval_precision": 0.7575671585319712, "eval_recall": 0.6839453458582408, "eval_runtime": 323.7426, "eval_samples_per_second": 4.964, "eval_steps_per_second": 0.312, "step": 3600 }, { "epoch": 2.03, "eval_accuracy": 0.9641745658423015, "eval_f1": 0.7188527825286147, "eval_loss": 0.1464972347021103, "eval_precision": 0.7388443162354638, "eval_recall": 0.6999146029035013, "eval_runtime": 324.6992, "eval_samples_per_second": 4.949, "eval_steps_per_second": 0.311, "step": 3800 }, { "epoch": 2.13, "learning_rate": 1.0398341477861691e-05, "loss": 0.0662, "step": 4000 }, { "epoch": 2.13, "eval_accuracy": 0.9690632118826831, "eval_f1": 0.7450159228722244, "eval_loss": 0.1409263014793396, "eval_precision": 0.7615267992508695, "eval_recall": 0.7292058070025619, "eval_runtime": 314.9474, "eval_samples_per_second": 5.102, "eval_steps_per_second": 0.321, "step": 4000 }, { "epoch": 2.24, "eval_accuracy": 0.9615428271261782, "eval_f1": 0.7431866723622383, "eval_loss": 0.17204762995243073, "eval_precision": 0.7435042735042735, "eval_recall": 0.7428693424423569, "eval_runtime": 307.7666, "eval_samples_per_second": 5.221, "eval_steps_per_second": 0.328, "step": 4200 }, { "epoch": 2.35, "eval_accuracy": 0.9666637630432086, "eval_f1": 0.7338054481470216, "eval_loss": 0.14404301345348358, "eval_precision": 0.7468824621915627, "eval_recall": 0.7211784799316823, "eval_runtime": 310.6556, "eval_samples_per_second": 5.173, "eval_steps_per_second": 0.325, "step": 4400 }, { "epoch": 2.4, "learning_rate": 8.917518140085888e-06, "loss": 0.0581, "step": 4500 }, { "epoch": 2.45, "eval_accuracy": 0.9657451621673702, "eval_f1": 0.7135284422468708, "eval_loss": 0.19275733828544617, "eval_precision": 0.7457863860694665, "eval_recall": 0.6839453458582408, "eval_runtime": 303.8599, "eval_samples_per_second": 5.289, "eval_steps_per_second": 0.332, "step": 4600 }, { "epoch": 2.56, "eval_accuracy": 0.969187275794075, "eval_f1": 0.7378380713730234, "eval_loss": 0.16446392238140106, "eval_precision": 0.7466771598461001, "eval_recall": 0.7292058070025619, "eval_runtime": 304.6717, "eval_samples_per_second": 5.275, "eval_steps_per_second": 0.332, "step": 4800 }, { "epoch": 2.67, "learning_rate": 7.436694802310085e-06, "loss": 0.0538, "step": 5000 }, { "epoch": 2.67, "eval_accuracy": 0.9655762240752619, "eval_f1": 0.7619294158253516, "eval_loss": 0.15173019468784332, "eval_precision": 0.7699686083013603, "eval_recall": 0.7540563620836892, "eval_runtime": 301.8453, "eval_samples_per_second": 5.324, "eval_steps_per_second": 0.335, "step": 5000 }, { "epoch": 2.77, "eval_accuracy": 0.9683900991719394, "eval_f1": 0.7727910873601738, "eval_loss": 0.16763265430927277, "eval_precision": 0.8226786230835985, "eval_recall": 0.7286080273270709, "eval_runtime": 303.0486, "eval_samples_per_second": 5.303, "eval_steps_per_second": 0.333, "step": 5200 }, { "epoch": 2.88, "eval_accuracy": 0.9724974065363203, "eval_f1": 0.7607919220424181, "eval_loss": 0.12770096957683563, "eval_precision": 0.7864891968274227, "eval_recall": 0.7367207514944492, "eval_runtime": 298.6206, "eval_samples_per_second": 5.381, "eval_steps_per_second": 0.338, "step": 5400 }, { "epoch": 2.93, "learning_rate": 5.955871464534282e-06, "loss": 0.0432, "step": 5500 }, { "epoch": 2.99, "eval_accuracy": 0.9692585465516832, "eval_f1": 0.7784317119612255, "eval_loss": 0.15319885313510895, "eval_precision": 0.78908580452711, "eval_recall": 0.7680614859094791, "eval_runtime": 299.3727, "eval_samples_per_second": 5.368, "eval_steps_per_second": 0.337, "step": 5600 } ], "max_steps": 7504, "num_train_epochs": 4, "total_flos": 2.41861262770176e+16, "trial_name": null, "trial_params": null }