| { | |
| "best_metric": 0.08695908635854721, | |
| "best_model_checkpoint": "/home1/datawork/mcontini/models/multilabel/huggingface/dinov2-large-2024_01_24-with_data_aug_batch-size32_epochs85_freeze/checkpoint-22742", | |
| "epoch": 85.0, | |
| "eval_steps": 500, | |
| "global_step": 23290, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.45894224077940154, | |
| "eval_f1_macro": 0.6395389989693074, | |
| "eval_f1_micro": 0.7737575503857426, | |
| "eval_loss": 0.13585977256298065, | |
| "eval_roc_auc": 0.8471240403763409, | |
| "eval_runtime": 675.8068, | |
| "eval_samples_per_second": 4.253, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.001, | |
| "step": 274 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.001, | |
| "loss": 0.2459, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.4940848990953375, | |
| "eval_f1_macro": 0.7304998296932924, | |
| "eval_f1_micro": 0.8032231694499591, | |
| "eval_loss": 0.12362784147262573, | |
| "eval_roc_auc": 0.8697341470820456, | |
| "eval_runtime": 678.2974, | |
| "eval_samples_per_second": 4.237, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.001, | |
| "step": 548 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5125260960334029, | |
| "eval_f1_macro": 0.7426440054746392, | |
| "eval_f1_micro": 0.8174202432866652, | |
| "eval_loss": 0.11671263724565506, | |
| "eval_roc_auc": 0.8827824537503088, | |
| "eval_runtime": 674.2849, | |
| "eval_samples_per_second": 4.262, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.001, | |
| "step": 822 | |
| }, | |
| { | |
| "epoch": 3.65, | |
| "learning_rate": 0.001, | |
| "loss": 0.1403, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5100904662491301, | |
| "eval_f1_macro": 0.7481206268648029, | |
| "eval_f1_micro": 0.817623068527773, | |
| "eval_loss": 0.11555441468954086, | |
| "eval_roc_auc": 0.8825597364016536, | |
| "eval_runtime": 684.1218, | |
| "eval_samples_per_second": 4.201, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 1096 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5243562978427279, | |
| "eval_f1_macro": 0.7614020034586013, | |
| "eval_f1_micro": 0.8267689489351958, | |
| "eval_loss": 0.11359219998121262, | |
| "eval_roc_auc": 0.8886760312325277, | |
| "eval_runtime": 674.0166, | |
| "eval_samples_per_second": 4.264, | |
| "eval_steps_per_second": 0.134, | |
| "learning_rate": 0.001, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 5.47, | |
| "learning_rate": 0.001, | |
| "loss": 0.1313, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5219206680584552, | |
| "eval_f1_macro": 0.7508698006051816, | |
| "eval_f1_micro": 0.8210489222998767, | |
| "eval_loss": 0.11100047826766968, | |
| "eval_roc_auc": 0.877677266975988, | |
| "eval_runtime": 676.1, | |
| "eval_samples_per_second": 4.251, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.001, | |
| "step": 1644 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.5323590814196242, | |
| "eval_f1_macro": 0.7613673312506429, | |
| "eval_f1_micro": 0.8288991092740292, | |
| "eval_loss": 0.10846547037363052, | |
| "eval_roc_auc": 0.8846228046955259, | |
| "eval_runtime": 682.0096, | |
| "eval_samples_per_second": 4.214, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 1918 | |
| }, | |
| { | |
| "epoch": 7.3, | |
| "learning_rate": 0.001, | |
| "loss": 0.1289, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.5379262352122477, | |
| "eval_f1_macro": 0.7711215001442554, | |
| "eval_f1_micro": 0.8331729408434757, | |
| "eval_loss": 0.11005302518606186, | |
| "eval_roc_auc": 0.8958012673255937, | |
| "eval_runtime": 682.26, | |
| "eval_samples_per_second": 4.212, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 2192 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.5139178844815588, | |
| "eval_f1_macro": 0.7669688558128348, | |
| "eval_f1_micro": 0.8271255519076193, | |
| "eval_loss": 0.11129175871610641, | |
| "eval_roc_auc": 0.8924250608458335, | |
| "eval_runtime": 683.3423, | |
| "eval_samples_per_second": 4.206, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 2466 | |
| }, | |
| { | |
| "epoch": 9.12, | |
| "learning_rate": 0.001, | |
| "loss": 0.1268, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.5313152400835073, | |
| "eval_f1_macro": 0.7610925982620881, | |
| "eval_f1_micro": 0.8258011503697616, | |
| "eval_loss": 0.11381296068429947, | |
| "eval_roc_auc": 0.880444980112697, | |
| "eval_runtime": 679.9943, | |
| "eval_samples_per_second": 4.227, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 10.95, | |
| "learning_rate": 0.001, | |
| "loss": 0.1255, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.5260960334029228, | |
| "eval_f1_macro": 0.762697586166308, | |
| "eval_f1_micro": 0.8262265016047684, | |
| "eval_loss": 0.11390296369791031, | |
| "eval_roc_auc": 0.8880168466934987, | |
| "eval_runtime": 678.1509, | |
| "eval_samples_per_second": 4.238, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.001, | |
| "step": 3014 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.5337508698677801, | |
| "eval_f1_macro": 0.7573087365131856, | |
| "eval_f1_micro": 0.8210012500744092, | |
| "eval_loss": 0.11208122968673706, | |
| "eval_roc_auc": 0.8736066784464123, | |
| "eval_runtime": 680.166, | |
| "eval_samples_per_second": 4.225, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 3288 | |
| }, | |
| { | |
| "epoch": 12.77, | |
| "learning_rate": 0.001, | |
| "loss": 0.1253, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.5219206680584552, | |
| "eval_f1_macro": 0.7489136029171714, | |
| "eval_f1_micro": 0.8207366032466399, | |
| "eval_loss": 0.1110881045460701, | |
| "eval_roc_auc": 0.8803454162802951, | |
| "eval_runtime": 682.0648, | |
| "eval_samples_per_second": 4.214, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 3562 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.5400139178844816, | |
| "eval_f1_macro": 0.7776741330298375, | |
| "eval_f1_micro": 0.8408186469584993, | |
| "eval_loss": 0.10247301310300827, | |
| "eval_roc_auc": 0.8987147268632997, | |
| "eval_runtime": 676.5367, | |
| "eval_samples_per_second": 4.248, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 3836 | |
| }, | |
| { | |
| "epoch": 14.6, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1171, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.5403618649965205, | |
| "eval_f1_macro": 0.7795139529876273, | |
| "eval_f1_micro": 0.842865329512894, | |
| "eval_loss": 0.0998576357960701, | |
| "eval_roc_auc": 0.897277663148542, | |
| "eval_runtime": 675.6889, | |
| "eval_samples_per_second": 4.253, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 4110 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.5407098121085595, | |
| "eval_f1_macro": 0.7861162275453341, | |
| "eval_f1_micro": 0.8462626605556499, | |
| "eval_loss": 0.10081179440021515, | |
| "eval_roc_auc": 0.9032963122022265, | |
| "eval_runtime": 680.4113, | |
| "eval_samples_per_second": 4.224, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 4384 | |
| }, | |
| { | |
| "epoch": 16.42, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1107, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.545929018789144, | |
| "eval_f1_macro": 0.7877890037679841, | |
| "eval_f1_micro": 0.8474232610532244, | |
| "eval_loss": 0.10136950016021729, | |
| "eval_roc_auc": 0.9054715489545434, | |
| "eval_runtime": 689.6336, | |
| "eval_samples_per_second": 4.167, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 4658 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.5480167014613778, | |
| "eval_f1_macro": 0.7867996984352024, | |
| "eval_f1_micro": 0.8471123755334281, | |
| "eval_loss": 0.09731467068195343, | |
| "eval_roc_auc": 0.9019535814277009, | |
| "eval_runtime": 689.7429, | |
| "eval_samples_per_second": 4.167, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.0001, | |
| "step": 4932 | |
| }, | |
| { | |
| "epoch": 18.25, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1078, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.5480167014613778, | |
| "eval_f1_macro": 0.789354289479613, | |
| "eval_f1_micro": 0.849087519068874, | |
| "eval_loss": 0.09738590568304062, | |
| "eval_roc_auc": 0.9053669532212902, | |
| "eval_runtime": 687.0367, | |
| "eval_samples_per_second": 4.183, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 5206 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.5549756437021572, | |
| "eval_f1_macro": 0.7947863154349663, | |
| "eval_f1_micro": 0.8497521508745941, | |
| "eval_loss": 0.0971071869134903, | |
| "eval_roc_auc": 0.9029799344302967, | |
| "eval_runtime": 693.4393, | |
| "eval_samples_per_second": 4.145, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.0001, | |
| "step": 5480 | |
| }, | |
| { | |
| "epoch": 20.07, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1061, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.5532359081419624, | |
| "eval_f1_macro": 0.793994619616555, | |
| "eval_f1_micro": 0.850910726332359, | |
| "eval_loss": 0.09643097966909409, | |
| "eval_roc_auc": 0.908055677859469, | |
| "eval_runtime": 689.9756, | |
| "eval_samples_per_second": 4.165, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.0001, | |
| "step": 5754 | |
| }, | |
| { | |
| "epoch": 21.9, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1048, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.5563674321503131, | |
| "eval_f1_macro": 0.7973736665550476, | |
| "eval_f1_micro": 0.8519603424966201, | |
| "eval_loss": 0.096234992146492, | |
| "eval_roc_auc": 0.9079748210535556, | |
| "eval_runtime": 688.8118, | |
| "eval_samples_per_second": 4.172, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 6028 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.558455114822547, | |
| "eval_f1_macro": 0.7969454250638132, | |
| "eval_f1_micro": 0.8504731861198739, | |
| "eval_loss": 0.09601961821317673, | |
| "eval_roc_auc": 0.9012155078858011, | |
| "eval_runtime": 688.0026, | |
| "eval_samples_per_second": 4.177, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 6302 | |
| }, | |
| { | |
| "epoch": 23.72, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1038, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.5626304801670147, | |
| "eval_f1_macro": 0.7974458635640262, | |
| "eval_f1_micro": 0.8510467909850132, | |
| "eval_loss": 0.09510745108127594, | |
| "eval_roc_auc": 0.9024119192380319, | |
| "eval_runtime": 688.423, | |
| "eval_samples_per_second": 4.175, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 6576 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.5643702157272095, | |
| "eval_f1_macro": 0.795289513465328, | |
| "eval_f1_micro": 0.8511713367018835, | |
| "eval_loss": 0.0944407731294632, | |
| "eval_roc_auc": 0.9012469687818218, | |
| "eval_runtime": 683.8812, | |
| "eval_samples_per_second": 4.202, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 6850 | |
| }, | |
| { | |
| "epoch": 25.55, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1017, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.5640222686151705, | |
| "eval_f1_macro": 0.8036711965439244, | |
| "eval_f1_micro": 0.8572393605043909, | |
| "eval_loss": 0.0948282852768898, | |
| "eval_roc_auc": 0.9111790013806387, | |
| "eval_runtime": 681.6858, | |
| "eval_samples_per_second": 4.216, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 7124 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.5636743215031316, | |
| "eval_f1_macro": 0.8034638180358344, | |
| "eval_f1_micro": 0.8551240743881069, | |
| "eval_loss": 0.09229259192943573, | |
| "eval_roc_auc": 0.9086109391822021, | |
| "eval_runtime": 683.6776, | |
| "eval_samples_per_second": 4.204, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 7398 | |
| }, | |
| { | |
| "epoch": 27.37, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1008, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.5643702157272095, | |
| "eval_f1_macro": 0.8072611584992022, | |
| "eval_f1_micro": 0.8561391580259505, | |
| "eval_loss": 0.0919216200709343, | |
| "eval_roc_auc": 0.9083895171196321, | |
| "eval_runtime": 676.936, | |
| "eval_samples_per_second": 4.246, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 7672 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.5681976339596382, | |
| "eval_f1_macro": 0.807775544791943, | |
| "eval_f1_micro": 0.8571590844550463, | |
| "eval_loss": 0.09229801595211029, | |
| "eval_roc_auc": 0.9081680950570622, | |
| "eval_runtime": 680.3447, | |
| "eval_samples_per_second": 4.224, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 7946 | |
| }, | |
| { | |
| "epoch": 29.2, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1006, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.5636743215031316, | |
| "eval_f1_macro": 0.8078629475879894, | |
| "eval_f1_micro": 0.8560661454525001, | |
| "eval_loss": 0.09243426471948624, | |
| "eval_roc_auc": 0.9107996520688381, | |
| "eval_runtime": 679.1764, | |
| "eval_samples_per_second": 4.232, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 8220 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.5688935281837161, | |
| "eval_f1_macro": 0.8043753783436429, | |
| "eval_f1_micro": 0.8549068890666057, | |
| "eval_loss": 0.09250637888908386, | |
| "eval_roc_auc": 0.9050076062220636, | |
| "eval_runtime": 675.7031, | |
| "eval_samples_per_second": 4.253, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 8494 | |
| }, | |
| { | |
| "epoch": 31.02, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0987, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.5678496868475992, | |
| "eval_f1_macro": 0.8071226305218325, | |
| "eval_f1_micro": 0.858236685057989, | |
| "eval_loss": 0.09133294969797134, | |
| "eval_roc_auc": 0.9117040473456065, | |
| "eval_runtime": 677.7385, | |
| "eval_samples_per_second": 4.241, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 8768 | |
| }, | |
| { | |
| "epoch": 32.85, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0983, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.5692414752957551, | |
| "eval_f1_macro": 0.8081519622072744, | |
| "eval_f1_micro": 0.8570938803496942, | |
| "eval_loss": 0.09114891290664673, | |
| "eval_roc_auc": 0.9061295874509765, | |
| "eval_runtime": 681.1845, | |
| "eval_samples_per_second": 4.219, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 9042 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.5709812108559499, | |
| "eval_f1_macro": 0.8059984375887345, | |
| "eval_f1_micro": 0.8570447522032734, | |
| "eval_loss": 0.09058225899934769, | |
| "eval_roc_auc": 0.9055923606377748, | |
| "eval_runtime": 681.0802, | |
| "eval_samples_per_second": 4.22, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 9316 | |
| }, | |
| { | |
| "epoch": 34.67, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0967, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.5692414752957551, | |
| "eval_f1_macro": 0.8103551770491668, | |
| "eval_f1_micro": 0.857759845428198, | |
| "eval_loss": 0.09091359376907349, | |
| "eval_roc_auc": 0.9083150869963146, | |
| "eval_runtime": 683.7099, | |
| "eval_samples_per_second": 4.204, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 9590 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.5748086290883786, | |
| "eval_f1_macro": 0.8114188986781382, | |
| "eval_f1_micro": 0.8582166040314315, | |
| "eval_loss": 0.09166968613862991, | |
| "eval_roc_auc": 0.9079081626467485, | |
| "eval_runtime": 677.0062, | |
| "eval_samples_per_second": 4.245, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 9864 | |
| }, | |
| { | |
| "epoch": 36.5, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0963, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.5741127348643006, | |
| "eval_f1_macro": 0.8104359485439742, | |
| "eval_f1_micro": 0.8571918983865431, | |
| "eval_loss": 0.09075025469064713, | |
| "eval_roc_auc": 0.9057496153700481, | |
| "eval_runtime": 682.1714, | |
| "eval_samples_per_second": 4.213, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 10138 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.5709812108559499, | |
| "eval_f1_macro": 0.8135949001200257, | |
| "eval_f1_micro": 0.8594423033325777, | |
| "eval_loss": 0.09104561805725098, | |
| "eval_roc_auc": 0.9101469439602342, | |
| "eval_runtime": 690.1946, | |
| "eval_samples_per_second": 4.164, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.0001, | |
| "step": 10412 | |
| }, | |
| { | |
| "epoch": 38.32, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0957, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.5685455810716771, | |
| "eval_f1_macro": 0.808520223441343, | |
| "eval_f1_micro": 0.8577247270464444, | |
| "eval_loss": 0.09074629843235016, | |
| "eval_roc_auc": 0.9098080230513902, | |
| "eval_runtime": 678.1058, | |
| "eval_samples_per_second": 4.238, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 0.0001, | |
| "step": 10686 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.5730688935281837, | |
| "eval_f1_macro": 0.8111504469893477, | |
| "eval_f1_micro": 0.8592332123411979, | |
| "eval_loss": 0.09030281752347946, | |
| "eval_roc_auc": 0.909802268885752, | |
| "eval_runtime": 695.8681, | |
| "eval_samples_per_second": 4.13, | |
| "eval_steps_per_second": 0.129, | |
| "learning_rate": 0.0001, | |
| "step": 10960 | |
| }, | |
| { | |
| "epoch": 40.15, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0953, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.5716771050800278, | |
| "eval_f1_macro": 0.8133805742659422, | |
| "eval_f1_micro": 0.8586208856801775, | |
| "eval_loss": 0.09064245969057083, | |
| "eval_roc_auc": 0.9086828782290092, | |
| "eval_runtime": 687.8411, | |
| "eval_samples_per_second": 4.178, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 11234 | |
| }, | |
| { | |
| "epoch": 41.97, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0943, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.5664578983994433, | |
| "eval_f1_macro": 0.8135815799291138, | |
| "eval_f1_micro": 0.8584246692032484, | |
| "eval_loss": 0.09031981229782104, | |
| "eval_roc_auc": 0.9089139403154726, | |
| "eval_runtime": 684.2332, | |
| "eval_samples_per_second": 4.2, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 11508 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.569937369519833, | |
| "eval_f1_macro": 0.8177715667121555, | |
| "eval_f1_micro": 0.8603735373537355, | |
| "eval_loss": 0.09048929065465927, | |
| "eval_roc_auc": 0.9131758350455123, | |
| "eval_runtime": 683.871, | |
| "eval_samples_per_second": 4.203, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 11782 | |
| }, | |
| { | |
| "epoch": 43.8, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0947, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.5727209464161448, | |
| "eval_f1_macro": 0.8149031816603105, | |
| "eval_f1_micro": 0.8585443759981747, | |
| "eval_loss": 0.090988889336586, | |
| "eval_roc_auc": 0.9075230591693096, | |
| "eval_runtime": 686.4073, | |
| "eval_samples_per_second": 4.187, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 12056 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.5727209464161448, | |
| "eval_f1_macro": 0.8112945515986235, | |
| "eval_f1_micro": 0.8590971272229823, | |
| "eval_loss": 0.09051001071929932, | |
| "eval_roc_auc": 0.9080583679272985, | |
| "eval_runtime": 690.3088, | |
| "eval_samples_per_second": 4.163, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.0001, | |
| "step": 12330 | |
| }, | |
| { | |
| "epoch": 45.62, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0925, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.5727209464161448, | |
| "eval_f1_macro": 0.8138956921603455, | |
| "eval_f1_micro": 0.8608370193943518, | |
| "eval_loss": 0.08959119021892548, | |
| "eval_roc_auc": 0.9107387478276688, | |
| "eval_runtime": 684.5538, | |
| "eval_samples_per_second": 4.198, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 12604 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.5744606819763396, | |
| "eval_f1_macro": 0.8154159530277365, | |
| "eval_f1_micro": 0.8598835217540253, | |
| "eval_loss": 0.08953865617513657, | |
| "eval_roc_auc": 0.9079274426945352, | |
| "eval_runtime": 681.6068, | |
| "eval_samples_per_second": 4.217, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 12878 | |
| }, | |
| { | |
| "epoch": 47.45, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0928, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.5744606819763396, | |
| "eval_f1_macro": 0.8154966869589858, | |
| "eval_f1_micro": 0.8605536922289807, | |
| "eval_loss": 0.08962185680866241, | |
| "eval_roc_auc": 0.9097631357688805, | |
| "eval_runtime": 684.997, | |
| "eval_samples_per_second": 4.196, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 13152 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.5727209464161448, | |
| "eval_f1_macro": 0.8168754926591527, | |
| "eval_f1_micro": 0.8606169781580725, | |
| "eval_loss": 0.08909053355455399, | |
| "eval_roc_auc": 0.9130853382157057, | |
| "eval_runtime": 683.2092, | |
| "eval_samples_per_second": 4.207, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 13426 | |
| }, | |
| { | |
| "epoch": 49.27, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0914, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.5734168406402227, | |
| "eval_f1_macro": 0.8182687784925751, | |
| "eval_f1_micro": 0.8616618652205841, | |
| "eval_loss": 0.08951092511415482, | |
| "eval_roc_auc": 0.9125141096821429, | |
| "eval_runtime": 683.8641, | |
| "eval_samples_per_second": 4.203, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 13700 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.5668058455114823, | |
| "eval_f1_macro": 0.8184177894108883, | |
| "eval_f1_micro": 0.8608232987958555, | |
| "eval_loss": 0.09029122442007065, | |
| "eval_roc_auc": 0.914931294083072, | |
| "eval_runtime": 685.4274, | |
| "eval_samples_per_second": 4.193, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 13974 | |
| }, | |
| { | |
| "epoch": 51.09, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0919, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.5762004175365344, | |
| "eval_f1_macro": 0.8172163352414866, | |
| "eval_f1_micro": 0.8617045454545454, | |
| "eval_loss": 0.09041330218315125, | |
| "eval_roc_auc": 0.9105776569849702, | |
| "eval_runtime": 686.3022, | |
| "eval_samples_per_second": 4.188, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 14248 | |
| }, | |
| { | |
| "epoch": 52.92, | |
| "learning_rate": 0.0001, | |
| "loss": 0.091, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.5734168406402227, | |
| "eval_f1_macro": 0.8154347454270638, | |
| "eval_f1_micro": 0.8604036655984708, | |
| "eval_loss": 0.09106075763702393, | |
| "eval_roc_auc": 0.913401765735465, | |
| "eval_runtime": 686.9936, | |
| "eval_samples_per_second": 4.183, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 14522 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.5751565762004175, | |
| "eval_f1_macro": 0.822392587875712, | |
| "eval_f1_micro": 0.8628963639457711, | |
| "eval_loss": 0.09085189551115036, | |
| "eval_roc_auc": 0.9117971844954131, | |
| "eval_runtime": 691.549, | |
| "eval_samples_per_second": 4.156, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.0001, | |
| "step": 14796 | |
| }, | |
| { | |
| "epoch": 54.74, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0907, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.5720250521920668, | |
| "eval_f1_macro": 0.8246722143238872, | |
| "eval_f1_micro": 0.862824401752612, | |
| "eval_loss": 0.0893503949046135, | |
| "eval_roc_auc": 0.9150558423810694, | |
| "eval_runtime": 687.0743, | |
| "eval_samples_per_second": 4.183, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 15070 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.5723729993041058, | |
| "eval_f1_macro": 0.8197285299784532, | |
| "eval_f1_micro": 0.8613505337062617, | |
| "eval_loss": 0.0895121842622757, | |
| "eval_roc_auc": 0.9088388874230271, | |
| "eval_runtime": 688.6878, | |
| "eval_samples_per_second": 4.173, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 1e-05, | |
| "step": 15344 | |
| }, | |
| { | |
| "epoch": 56.57, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0883, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.5755045233124565, | |
| "eval_f1_macro": 0.8261680546876228, | |
| "eval_f1_micro": 0.8653240324032403, | |
| "eval_loss": 0.08795319497585297, | |
| "eval_roc_auc": 0.9159717957369441, | |
| "eval_runtime": 680.4805, | |
| "eval_samples_per_second": 4.223, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1e-05, | |
| "step": 15618 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.5782881002087683, | |
| "eval_f1_macro": 0.8227228870436498, | |
| "eval_f1_micro": 0.8639262127078114, | |
| "eval_loss": 0.08846761286258698, | |
| "eval_roc_auc": 0.9111322457907458, | |
| "eval_runtime": 678.456, | |
| "eval_samples_per_second": 4.236, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1e-05, | |
| "step": 15892 | |
| }, | |
| { | |
| "epoch": 58.39, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0872, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.5765483646485734, | |
| "eval_f1_macro": 0.8262742568594247, | |
| "eval_f1_micro": 0.8655003656409969, | |
| "eval_loss": 0.0878983661532402, | |
| "eval_roc_auc": 0.9160905401214736, | |
| "eval_runtime": 680.5904, | |
| "eval_samples_per_second": 4.223, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1e-05, | |
| "step": 16166 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.5800278357689631, | |
| "eval_f1_macro": 0.8238378094426198, | |
| "eval_f1_micro": 0.8654139156932453, | |
| "eval_loss": 0.08844566345214844, | |
| "eval_roc_auc": 0.914969231409518, | |
| "eval_runtime": 682.0838, | |
| "eval_samples_per_second": 4.214, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1e-05, | |
| "step": 16440 | |
| }, | |
| { | |
| "epoch": 60.22, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0873, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "eval_accuracy": 0.5744606819763396, | |
| "eval_f1_macro": 0.8265572971487117, | |
| "eval_f1_micro": 0.8651893408134642, | |
| "eval_loss": 0.0878659188747406, | |
| "eval_roc_auc": 0.9168337948077135, | |
| "eval_runtime": 683.217, | |
| "eval_samples_per_second": 4.207, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1e-05, | |
| "step": 16714 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_accuracy": 0.5765483646485734, | |
| "eval_f1_macro": 0.8251828516128455, | |
| "eval_f1_micro": 0.8649870071178397, | |
| "eval_loss": 0.08799029141664505, | |
| "eval_roc_auc": 0.9143652466938494, | |
| "eval_runtime": 680.2736, | |
| "eval_samples_per_second": 4.225, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1e-05, | |
| "step": 16988 | |
| }, | |
| { | |
| "epoch": 62.04, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0864, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "eval_accuracy": 0.5800278357689631, | |
| "eval_f1_macro": 0.8266891115852992, | |
| "eval_f1_micro": 0.8650424929178471, | |
| "eval_loss": 0.08828118443489075, | |
| "eval_roc_auc": 0.9134011927141672, | |
| "eval_runtime": 677.3735, | |
| "eval_samples_per_second": 4.243, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1e-05, | |
| "step": 17262 | |
| }, | |
| { | |
| "epoch": 63.87, | |
| "learning_rate": 1e-05, | |
| "loss": 0.086, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.5782881002087683, | |
| "eval_f1_macro": 0.8256635970178378, | |
| "eval_f1_micro": 0.8667077889306342, | |
| "eval_loss": 0.08754145354032516, | |
| "eval_roc_auc": 0.9178472944451183, | |
| "eval_runtime": 682.5828, | |
| "eval_samples_per_second": 4.21, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1e-05, | |
| "step": 17536 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy": 0.58107167710508, | |
| "eval_f1_macro": 0.8277460823758025, | |
| "eval_f1_micro": 0.8669750648764526, | |
| "eval_loss": 0.08722905069589615, | |
| "eval_roc_auc": 0.9159442206991787, | |
| "eval_runtime": 673.5072, | |
| "eval_samples_per_second": 4.267, | |
| "eval_steps_per_second": 0.134, | |
| "learning_rate": 1e-05, | |
| "step": 17810 | |
| }, | |
| { | |
| "epoch": 65.69, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0855, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_accuracy": 0.581767571329158, | |
| "eval_f1_macro": 0.8263083392061107, | |
| "eval_f1_micro": 0.8662405972512867, | |
| "eval_loss": 0.0872766524553299, | |
| "eval_roc_auc": 0.9146675753101624, | |
| "eval_runtime": 674.2325, | |
| "eval_samples_per_second": 4.263, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1e-05, | |
| "step": 18084 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "eval_accuracy": 0.5796798886569241, | |
| "eval_f1_macro": 0.8236507380069967, | |
| "eval_f1_micro": 0.8647603888351997, | |
| "eval_loss": 0.08779256045818329, | |
| "eval_roc_auc": 0.9121142845321298, | |
| "eval_runtime": 672.7686, | |
| "eval_samples_per_second": 4.272, | |
| "eval_steps_per_second": 0.134, | |
| "learning_rate": 1e-05, | |
| "step": 18358 | |
| }, | |
| { | |
| "epoch": 67.52, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0853, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_accuracy": 0.580723729993041, | |
| "eval_f1_macro": 0.82334160354742, | |
| "eval_f1_micro": 0.8644058136221144, | |
| "eval_loss": 0.08787883818149567, | |
| "eval_roc_auc": 0.9110366175644288, | |
| "eval_runtime": 678.5717, | |
| "eval_samples_per_second": 4.235, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1e-05, | |
| "step": 18632 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "eval_accuracy": 0.5831593597773138, | |
| "eval_f1_macro": 0.8274164123414606, | |
| "eval_f1_micro": 0.8653988078342322, | |
| "eval_loss": 0.08730249851942062, | |
| "eval_roc_auc": 0.9129307238034322, | |
| "eval_runtime": 682.302, | |
| "eval_samples_per_second": 4.212, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1e-05, | |
| "step": 18906 | |
| }, | |
| { | |
| "epoch": 69.34, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0854, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy": 0.58107167710508, | |
| "eval_f1_macro": 0.8286701109278063, | |
| "eval_f1_micro": 0.8661381908135155, | |
| "eval_loss": 0.08733326941728592, | |
| "eval_roc_auc": 0.9166425383550794, | |
| "eval_runtime": 673.3186, | |
| "eval_samples_per_second": 4.268, | |
| "eval_steps_per_second": 0.134, | |
| "learning_rate": 1e-05, | |
| "step": 19180 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "eval_accuracy": 0.5779401530967293, | |
| "eval_f1_macro": 0.8262073521627441, | |
| "eval_f1_micro": 0.865708650324035, | |
| "eval_loss": 0.08731996268033981, | |
| "eval_roc_auc": 0.9155950369973136, | |
| "eval_runtime": 672.8744, | |
| "eval_samples_per_second": 4.271, | |
| "eval_steps_per_second": 0.134, | |
| "learning_rate": 1e-05, | |
| "step": 19454 | |
| }, | |
| { | |
| "epoch": 71.17, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 0.0847, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_accuracy": 0.5803757828810021, | |
| "eval_f1_macro": 0.8279492189021646, | |
| "eval_f1_micro": 0.8660418654245468, | |
| "eval_loss": 0.08729101717472076, | |
| "eval_roc_auc": 0.9172015860404081, | |
| "eval_runtime": 676.9231, | |
| "eval_samples_per_second": 4.246, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 19728 | |
| }, | |
| { | |
| "epoch": 72.99, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 0.0852, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "eval_accuracy": 0.5765483646485734, | |
| "eval_f1_macro": 0.8258696329291023, | |
| "eval_f1_micro": 0.8661956034096008, | |
| "eval_loss": 0.08899407833814621, | |
| "eval_roc_auc": 0.917537916377082, | |
| "eval_runtime": 674.8648, | |
| "eval_samples_per_second": 4.259, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 20002 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "eval_accuracy": 0.5835073068893528, | |
| "eval_f1_macro": 0.8266751443826955, | |
| "eval_f1_micro": 0.8663119764546072, | |
| "eval_loss": 0.08706125617027283, | |
| "eval_roc_auc": 0.9144583340958263, | |
| "eval_runtime": 676.3788, | |
| "eval_samples_per_second": 4.249, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 20276 | |
| }, | |
| { | |
| "epoch": 74.82, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 0.0845, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy": 0.5762004175365344, | |
| "eval_f1_macro": 0.8242525331164202, | |
| "eval_f1_micro": 0.8650994982806247, | |
| "eval_loss": 0.08718431740999222, | |
| "eval_roc_auc": 0.9151367489348123, | |
| "eval_runtime": 674.1856, | |
| "eval_samples_per_second": 4.263, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 20550 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "eval_accuracy": 0.5775922059846903, | |
| "eval_f1_macro": 0.8258404959868192, | |
| "eval_f1_micro": 0.8660362490149724, | |
| "eval_loss": 0.08712752908468246, | |
| "eval_roc_auc": 0.9161823322373652, | |
| "eval_runtime": 676.0536, | |
| "eval_samples_per_second": 4.251, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 20824 | |
| }, | |
| { | |
| "epoch": 76.64, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 0.0849, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "eval_accuracy": 0.5779401530967293, | |
| "eval_f1_macro": 0.8262597281814207, | |
| "eval_f1_micro": 0.8654561858576745, | |
| "eval_loss": 0.08787967264652252, | |
| "eval_roc_auc": 0.915242017185023, | |
| "eval_runtime": 678.4216, | |
| "eval_samples_per_second": 4.236, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 21098 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "eval_accuracy": 0.5779401530967293, | |
| "eval_f1_macro": 0.824064674812195, | |
| "eval_f1_micro": 0.8647364849581541, | |
| "eval_loss": 0.08832630515098572, | |
| "eval_roc_auc": 0.9138800063627106, | |
| "eval_runtime": 674.504, | |
| "eval_samples_per_second": 4.261, | |
| "eval_steps_per_second": 0.133, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 21372 | |
| }, | |
| { | |
| "epoch": 78.47, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 0.0853, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "eval_accuracy": 0.580723729993041, | |
| "eval_f1_macro": 0.8283767069034536, | |
| "eval_f1_micro": 0.8667153859126425, | |
| "eval_loss": 0.08727473765611649, | |
| "eval_roc_auc": 0.9170071162464759, | |
| "eval_runtime": 680.1183, | |
| "eval_samples_per_second": 4.226, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 21646 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.581419624217119, | |
| "eval_f1_macro": 0.8257519474670673, | |
| "eval_f1_micro": 0.8654216185625353, | |
| "eval_loss": 0.08734780550003052, | |
| "eval_roc_auc": 0.9139968326920274, | |
| "eval_runtime": 682.9935, | |
| "eval_samples_per_second": 4.208, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "step": 21920 | |
| }, | |
| { | |
| "epoch": 80.29, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "loss": 0.0838, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 81.0, | |
| "eval_accuracy": 0.5828114126652749, | |
| "eval_f1_macro": 0.8261813753948223, | |
| "eval_f1_micro": 0.8653922514039366, | |
| "eval_loss": 0.08708538860082626, | |
| "eval_roc_auc": 0.9131951648411291, | |
| "eval_runtime": 690.614, | |
| "eval_samples_per_second": 4.162, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "step": 22194 | |
| }, | |
| { | |
| "epoch": 82.0, | |
| "eval_accuracy": 0.581767571329158, | |
| "eval_f1_macro": 0.8253000981325144, | |
| "eval_f1_micro": 0.866888801039137, | |
| "eval_loss": 0.08740255981683731, | |
| "eval_roc_auc": 0.9155308696670169, | |
| "eval_runtime": 680.0034, | |
| "eval_samples_per_second": 4.226, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "step": 22468 | |
| }, | |
| { | |
| "epoch": 82.12, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "loss": 0.0842, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 83.0, | |
| "eval_accuracy": 0.5845511482254697, | |
| "eval_f1_macro": 0.8282173993454429, | |
| "eval_f1_micro": 0.8666929710839298, | |
| "eval_loss": 0.08695908635854721, | |
| "eval_roc_auc": 0.9160732278767293, | |
| "eval_runtime": 685.2501, | |
| "eval_samples_per_second": 4.194, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "step": 22742 | |
| }, | |
| { | |
| "epoch": 83.94, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "loss": 0.0837, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 84.0, | |
| "eval_accuracy": 0.58107167710508, | |
| "eval_f1_macro": 0.8233437650206237, | |
| "eval_f1_micro": 0.8627316009866345, | |
| "eval_loss": 0.08810650557279587, | |
| "eval_roc_auc": 0.9079679208453217, | |
| "eval_runtime": 687.4756, | |
| "eval_samples_per_second": 4.181, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "step": 23016 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "eval_accuracy": 0.580723729993041, | |
| "eval_f1_macro": 0.8276925304690478, | |
| "eval_f1_micro": 0.8657459814353634, | |
| "eval_loss": 0.08707784116268158, | |
| "eval_roc_auc": 0.9141406112899818, | |
| "eval_runtime": 688.8064, | |
| "eval_samples_per_second": 4.172, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "step": 23290 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "learning_rate": 1.0000000000000002e-07, | |
| "step": 23290, | |
| "total_flos": 1.1045912459199104e+21, | |
| "train_loss": 0.0019856175725272715, | |
| "train_runtime": 5622.9029, | |
| "train_samples_per_second": 132.483, | |
| "train_steps_per_second": 4.142 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 23290, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 85, | |
| "save_steps": 500, | |
| "total_flos": 1.1045912459199104e+21, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |