{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.001169590643275, "eval_steps": 214, "global_step": 856, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.012865497076023392, "grad_norm": 0.07311347126960754, "learning_rate": 3.5081502480510277e-07, "loss": 0.1802, "step": 11 }, { "epoch": 0.025730994152046785, "grad_norm": 0.3663940727710724, "learning_rate": 7.016300496102055e-07, "loss": 0.1573, "step": 22 }, { "epoch": 0.03859649122807018, "grad_norm": 0.22339867055416107, "learning_rate": 1.0524450744153084e-06, "loss": 0.1184, "step": 33 }, { "epoch": 0.05146198830409357, "grad_norm": 0.06488268822431564, "learning_rate": 1.403260099220411e-06, "loss": 0.1456, "step": 44 }, { "epoch": 0.06432748538011696, "grad_norm": 0.7134692072868347, "learning_rate": 1.754075124025514e-06, "loss": 0.2102, "step": 55 }, { "epoch": 0.07719298245614035, "grad_norm": 0.048255760222673416, "learning_rate": 2.104890148830617e-06, "loss": 0.151, "step": 66 }, { "epoch": 0.09005847953216374, "grad_norm": 0.43056783080101013, "learning_rate": 2.4557051736357195e-06, "loss": 0.1356, "step": 77 }, { "epoch": 0.10292397660818714, "grad_norm": 0.7663404941558838, "learning_rate": 2.806520198440822e-06, "loss": 0.2292, "step": 88 }, { "epoch": 0.11578947368421053, "grad_norm": 0.48333388566970825, "learning_rate": 3.1573352232459252e-06, "loss": 0.126, "step": 99 }, { "epoch": 0.1286549707602339, "grad_norm": 0.5180703997612, "learning_rate": 3.508150248051028e-06, "loss": 0.1942, "step": 110 }, { "epoch": 0.1415204678362573, "grad_norm": 0.6447436809539795, "learning_rate": 3.85896527285613e-06, "loss": 0.2089, "step": 121 }, { "epoch": 0.1543859649122807, "grad_norm": 0.5512965321540833, "learning_rate": 4.209780297661234e-06, "loss": 0.1225, "step": 132 }, { "epoch": 0.1672514619883041, "grad_norm": 0.5181564688682556, "learning_rate": 4.560595322466336e-06, "loss": 0.2504, "step": 143 }, { "epoch": 0.18011695906432748, "grad_norm": 1.549516201019287, "learning_rate": 4.911410347271439e-06, "loss": 0.1454, "step": 154 }, { "epoch": 0.19298245614035087, "grad_norm": 0.06744886934757233, "learning_rate": 5.262225372076542e-06, "loss": 0.2052, "step": 165 }, { "epoch": 0.20584795321637428, "grad_norm": 0.3412599265575409, "learning_rate": 5.613040396881644e-06, "loss": 0.1321, "step": 176 }, { "epoch": 0.21871345029239767, "grad_norm": 0.4878319203853607, "learning_rate": 5.963855421686748e-06, "loss": 0.1975, "step": 187 }, { "epoch": 0.23157894736842105, "grad_norm": 0.6517124176025391, "learning_rate": 6.3146704464918505e-06, "loss": 0.1615, "step": 198 }, { "epoch": 0.24444444444444444, "grad_norm": 0.1128321960568428, "learning_rate": 6.665485471296953e-06, "loss": 0.2174, "step": 209 }, { "epoch": 0.25029239766081873, "eval_Qnli-dev_cosine_accuracy": 0.697265625, "eval_Qnli-dev_cosine_accuracy_threshold": 0.6495540738105774, "eval_Qnli-dev_cosine_ap": 0.7205205074888317, "eval_Qnli-dev_cosine_f1": 0.6815286624203821, "eval_Qnli-dev_cosine_f1_threshold": 0.4835514724254608, "eval_Qnli-dev_cosine_precision": 0.5459183673469388, "eval_Qnli-dev_cosine_recall": 0.9067796610169492, "eval_Qnli-dev_dot_accuracy": 0.666015625, "eval_Qnli-dev_dot_accuracy_threshold": 307.405517578125, "eval_Qnli-dev_dot_ap": 0.676904834512821, "eval_Qnli-dev_dot_f1": 0.6718027734976887, "eval_Qnli-dev_dot_f1_threshold": 182.19287109375, "eval_Qnli-dev_dot_precision": 0.5278450363196125, "eval_Qnli-dev_dot_recall": 0.923728813559322, "eval_Qnli-dev_euclidean_accuracy": 0.70703125, "eval_Qnli-dev_euclidean_accuracy_threshold": 17.179746627807617, "eval_Qnli-dev_euclidean_ap": 0.7311696464051982, "eval_Qnli-dev_euclidean_f1": 0.6860706860706861, "eval_Qnli-dev_euclidean_f1_threshold": 17.50692367553711, "eval_Qnli-dev_euclidean_precision": 0.673469387755102, "eval_Qnli-dev_euclidean_recall": 0.6991525423728814, "eval_Qnli-dev_manhattan_accuracy": 0.703125, "eval_Qnli-dev_manhattan_accuracy_threshold": 357.37890625, "eval_Qnli-dev_manhattan_ap": 0.7327744127614749, "eval_Qnli-dev_manhattan_f1": 0.680161943319838, "eval_Qnli-dev_manhattan_f1_threshold": 373.75103759765625, "eval_Qnli-dev_manhattan_precision": 0.6511627906976745, "eval_Qnli-dev_manhattan_recall": 0.711864406779661, "eval_Qnli-dev_max_accuracy": 0.70703125, "eval_Qnli-dev_max_accuracy_threshold": 357.37890625, "eval_Qnli-dev_max_ap": 0.7327744127614749, "eval_Qnli-dev_max_f1": 0.6860706860706861, "eval_Qnli-dev_max_f1_threshold": 373.75103759765625, "eval_Qnli-dev_max_precision": 0.673469387755102, "eval_Qnli-dev_max_recall": 0.923728813559322, "eval_allNLI-dev_cosine_accuracy": 0.740234375, "eval_allNLI-dev_cosine_accuracy_threshold": 0.7851241827011108, "eval_allNLI-dev_cosine_ap": 0.6340322426598262, "eval_allNLI-dev_cosine_f1": 0.6371681415929203, "eval_allNLI-dev_cosine_f1_threshold": 0.5923386812210083, "eval_allNLI-dev_cosine_precision": 0.5161290322580645, "eval_allNLI-dev_cosine_recall": 0.8323699421965318, "eval_allNLI-dev_dot_accuracy": 0.724609375, "eval_allNLI-dev_dot_accuracy_threshold": 294.0272521972656, "eval_allNLI-dev_dot_ap": 0.5910094855503549, "eval_allNLI-dev_dot_f1": 0.5960264900662251, "eval_allNLI-dev_dot_f1_threshold": 227.6922149658203, "eval_allNLI-dev_dot_precision": 0.48214285714285715, "eval_allNLI-dev_dot_recall": 0.7803468208092486, "eval_allNLI-dev_euclidean_accuracy": 0.748046875, "eval_allNLI-dev_euclidean_accuracy_threshold": 13.517601013183594, "eval_allNLI-dev_euclidean_ap": 0.6422252682731053, "eval_allNLI-dev_euclidean_f1": 0.65, "eval_allNLI-dev_euclidean_f1_threshold": 17.501617431640625, "eval_allNLI-dev_euclidean_precision": 0.5355805243445693, "eval_allNLI-dev_euclidean_recall": 0.8265895953757225, "eval_allNLI-dev_manhattan_accuracy": 0.74609375, "eval_allNLI-dev_manhattan_accuracy_threshold": 298.3919677734375, "eval_allNLI-dev_manhattan_ap": 0.6432220315530937, "eval_allNLI-dev_manhattan_f1": 0.6618357487922705, "eval_allNLI-dev_manhattan_f1_threshold": 358.1668701171875, "eval_allNLI-dev_manhattan_precision": 0.5684647302904564, "eval_allNLI-dev_manhattan_recall": 0.791907514450867, "eval_allNLI-dev_max_accuracy": 0.748046875, "eval_allNLI-dev_max_accuracy_threshold": 298.3919677734375, "eval_allNLI-dev_max_ap": 0.6432220315530937, "eval_allNLI-dev_max_f1": 0.6618357487922705, "eval_allNLI-dev_max_f1_threshold": 358.1668701171875, "eval_allNLI-dev_max_precision": 0.5684647302904564, "eval_allNLI-dev_max_recall": 0.8323699421965318, "eval_sequential_score": 0.7327744127614749, "eval_sts-test_pearson_cosine": 0.8852985023833193, "eval_sts-test_pearson_dot": 0.8698187375798812, "eval_sts-test_pearson_euclidean": 0.9048697523934177, "eval_sts-test_pearson_manhattan": 0.9054784772409876, "eval_sts-test_pearson_max": 0.9054784772409876, "eval_sts-test_spearman_cosine": 0.9079225861122531, "eval_sts-test_spearman_dot": 0.8661416896957076, "eval_sts-test_spearman_euclidean": 0.9007419777144345, "eval_sts-test_spearman_manhattan": 0.9013345291665179, "eval_sts-test_spearman_max": 0.9079225861122531, "eval_vitaminc-pairs_loss": 2.7610974311828613, "eval_vitaminc-pairs_runtime": 3.8706, "eval_vitaminc-pairs_samples_per_second": 33.07, "eval_vitaminc-pairs_steps_per_second": 0.258, "step": 214 }, { "epoch": 0.25029239766081873, "eval_negation-triplets_loss": 1.0606263875961304, "eval_negation-triplets_runtime": 0.6073, "eval_negation-triplets_samples_per_second": 210.757, "eval_negation-triplets_steps_per_second": 1.647, "step": 214 }, { "epoch": 0.25029239766081873, "eval_scitail-pairs-pos_loss": 0.059617433696985245, "eval_scitail-pairs-pos_runtime": 0.9151, "eval_scitail-pairs-pos_samples_per_second": 139.868, "eval_scitail-pairs-pos_steps_per_second": 1.093, "step": 214 }, { "epoch": 0.25029239766081873, "eval_scitail-pairs-qa_loss": 2.513320396246854e-07, "eval_scitail-pairs-qa_runtime": 0.5906, "eval_scitail-pairs-qa_samples_per_second": 216.739, "eval_scitail-pairs-qa_steps_per_second": 1.693, "step": 214 }, { "epoch": 0.25029239766081873, "eval_xsum-pairs_loss": 0.004431054927408695, "eval_xsum-pairs_runtime": 2.7873, "eval_xsum-pairs_samples_per_second": 45.922, "eval_xsum-pairs_steps_per_second": 0.359, "step": 214 }, { "epoch": 0.25029239766081873, "eval_sciq_pairs_loss": 0.013232991099357605, "eval_sciq_pairs_runtime": 4.1862, "eval_sciq_pairs_samples_per_second": 30.576, "eval_sciq_pairs_steps_per_second": 0.239, "step": 214 }, { "epoch": 0.25029239766081873, "eval_qasc_pairs_loss": 0.049007147550582886, "eval_qasc_pairs_runtime": 0.6288, "eval_qasc_pairs_samples_per_second": 203.554, "eval_qasc_pairs_steps_per_second": 1.59, "step": 214 }, { "epoch": 0.25029239766081873, "eval_openbookqa_pairs_loss": 1.3196656703948975, "eval_openbookqa_pairs_runtime": 0.5848, "eval_openbookqa_pairs_samples_per_second": 218.897, "eval_openbookqa_pairs_steps_per_second": 1.71, "step": 214 }, { "epoch": 0.25029239766081873, "eval_msmarco_pairs_loss": 0.13587385416030884, "eval_msmarco_pairs_runtime": 1.341, "eval_msmarco_pairs_samples_per_second": 95.453, "eval_msmarco_pairs_steps_per_second": 0.746, "step": 214 }, { "epoch": 0.25029239766081873, "eval_nq_pairs_loss": 0.04134061187505722, "eval_nq_pairs_runtime": 2.9296, "eval_nq_pairs_samples_per_second": 43.693, "eval_nq_pairs_steps_per_second": 0.341, "step": 214 }, { "epoch": 0.25029239766081873, "eval_trivia_pairs_loss": 0.211629718542099, "eval_trivia_pairs_runtime": 3.2033, "eval_trivia_pairs_samples_per_second": 39.958, "eval_trivia_pairs_steps_per_second": 0.312, "step": 214 }, { "epoch": 0.25029239766081873, "eval_gooaq_pairs_loss": 0.11869887262582779, "eval_gooaq_pairs_runtime": 0.869, "eval_gooaq_pairs_samples_per_second": 147.291, "eval_gooaq_pairs_steps_per_second": 1.151, "step": 214 }, { "epoch": 0.25029239766081873, "eval_paws-pos_loss": 0.04590649530291557, "eval_paws-pos_runtime": 0.6652, "eval_paws-pos_samples_per_second": 192.433, "eval_paws-pos_steps_per_second": 1.503, "step": 214 }, { "epoch": 0.25029239766081873, "eval_global_dataset_loss": 0.21873071789741516, "eval_global_dataset_runtime": 24.2472, "eval_global_dataset_samples_per_second": 27.343, "eval_global_dataset_steps_per_second": 0.247, "step": 214 }, { "epoch": 0.2573099415204678, "grad_norm": 0.2186487466096878, "learning_rate": 7.016300496102056e-06, "loss": 0.1545, "step": 220 }, { "epoch": 0.27017543859649124, "grad_norm": 0.16798946261405945, "learning_rate": 7.3671155209071584e-06, "loss": 0.1201, "step": 231 }, { "epoch": 0.2830409356725146, "grad_norm": 0.5161852836608887, "learning_rate": 7.71793054571226e-06, "loss": 0.1389, "step": 242 }, { "epoch": 0.295906432748538, "grad_norm": 0.6402292251586914, "learning_rate": 8.068745570517365e-06, "loss": 0.1657, "step": 253 }, { "epoch": 0.3087719298245614, "grad_norm": 0.8064345717430115, "learning_rate": 8.419560595322467e-06, "loss": 0.237, "step": 264 }, { "epoch": 0.3216374269005848, "grad_norm": 0.8077338337898254, "learning_rate": 8.770375620127569e-06, "loss": 0.1094, "step": 275 }, { "epoch": 0.3345029239766082, "grad_norm": 0.23748837411403656, "learning_rate": 9.121190644932673e-06, "loss": 0.196, "step": 286 }, { "epoch": 0.3473684210526316, "grad_norm": 0.26720044016838074, "learning_rate": 9.472005669737774e-06, "loss": 0.2164, "step": 297 }, { "epoch": 0.36023391812865496, "grad_norm": 0.8082326650619507, "learning_rate": 9.822820694542878e-06, "loss": 0.1793, "step": 308 }, { "epoch": 0.3730994152046784, "grad_norm": 0.8150445818901062, "learning_rate": 1.017363571934798e-05, "loss": 0.2878, "step": 319 }, { "epoch": 0.38596491228070173, "grad_norm": 0.2097979038953781, "learning_rate": 1.0524450744153083e-05, "loss": 0.1189, "step": 330 }, { "epoch": 0.39883040935672515, "grad_norm": 1.0323094129562378, "learning_rate": 1.0875265768958187e-05, "loss": 0.1475, "step": 341 }, { "epoch": 0.41169590643274856, "grad_norm": 0.41917282342910767, "learning_rate": 1.1226080793763289e-05, "loss": 0.1019, "step": 352 }, { "epoch": 0.4245614035087719, "grad_norm": 0.17783042788505554, "learning_rate": 1.1576895818568394e-05, "loss": 0.1587, "step": 363 }, { "epoch": 0.43742690058479533, "grad_norm": 0.8943735957145691, "learning_rate": 1.1927710843373496e-05, "loss": 0.2483, "step": 374 }, { "epoch": 0.4502923976608187, "grad_norm": 0.7853964567184448, "learning_rate": 1.2278525868178599e-05, "loss": 0.1427, "step": 385 }, { "epoch": 0.4631578947368421, "grad_norm": 0.4753592908382416, "learning_rate": 1.2629340892983701e-05, "loss": 0.1199, "step": 396 }, { "epoch": 0.4760233918128655, "grad_norm": 0.47377559542655945, "learning_rate": 1.2980155917788803e-05, "loss": 0.2037, "step": 407 }, { "epoch": 0.4888888888888889, "grad_norm": 0.6249018311500549, "learning_rate": 1.3330970942593906e-05, "loss": 0.1317, "step": 418 }, { "epoch": 0.5005847953216375, "eval_Qnli-dev_cosine_accuracy": 0.6953125, "eval_Qnli-dev_cosine_accuracy_threshold": 0.6539117097854614, "eval_Qnli-dev_cosine_ap": 0.7174538904795291, "eval_Qnli-dev_cosine_f1": 0.6773675762439807, "eval_Qnli-dev_cosine_f1_threshold": 0.4876832365989685, "eval_Qnli-dev_cosine_precision": 0.5452196382428941, "eval_Qnli-dev_cosine_recall": 0.8940677966101694, "eval_Qnli-dev_dot_accuracy": 0.673828125, "eval_Qnli-dev_dot_accuracy_threshold": 248.8419647216797, "eval_Qnli-dev_dot_ap": 0.6692436401997881, "eval_Qnli-dev_dot_f1": 0.6758832565284177, "eval_Qnli-dev_dot_f1_threshold": 174.55992126464844, "eval_Qnli-dev_dot_precision": 0.5301204819277109, "eval_Qnli-dev_dot_recall": 0.9322033898305084, "eval_Qnli-dev_euclidean_accuracy": 0.70703125, "eval_Qnli-dev_euclidean_accuracy_threshold": 16.61339569091797, "eval_Qnli-dev_euclidean_ap": 0.7278403442362325, "eval_Qnli-dev_euclidean_f1": 0.6821052631578948, "eval_Qnli-dev_euclidean_f1_threshold": 17.059036254882812, "eval_Qnli-dev_euclidean_precision": 0.6778242677824268, "eval_Qnli-dev_euclidean_recall": 0.6864406779661016, "eval_Qnli-dev_manhattan_accuracy": 0.697265625, "eval_Qnli-dev_manhattan_accuracy_threshold": 348.561279296875, "eval_Qnli-dev_manhattan_ap": 0.7293997108333973, "eval_Qnli-dev_manhattan_f1": 0.6797642436149313, "eval_Qnli-dev_manhattan_f1_threshold": 371.4664306640625, "eval_Qnli-dev_manhattan_precision": 0.6336996336996337, "eval_Qnli-dev_manhattan_recall": 0.7330508474576272, "eval_Qnli-dev_max_accuracy": 0.70703125, "eval_Qnli-dev_max_accuracy_threshold": 348.561279296875, "eval_Qnli-dev_max_ap": 0.7293997108333973, "eval_Qnli-dev_max_f1": 0.6821052631578948, "eval_Qnli-dev_max_f1_threshold": 371.4664306640625, "eval_Qnli-dev_max_precision": 0.6778242677824268, "eval_Qnli-dev_max_recall": 0.9322033898305084, "eval_allNLI-dev_cosine_accuracy": 0.740234375, "eval_allNLI-dev_cosine_accuracy_threshold": 0.789513111114502, "eval_allNLI-dev_cosine_ap": 0.6326730829325957, "eval_allNLI-dev_cosine_f1": 0.6369710467706012, "eval_allNLI-dev_cosine_f1_threshold": 0.6001436710357666, "eval_allNLI-dev_cosine_precision": 0.5181159420289855, "eval_allNLI-dev_cosine_recall": 0.8265895953757225, "eval_allNLI-dev_dot_accuracy": 0.728515625, "eval_allNLI-dev_dot_accuracy_threshold": 284.5158996582031, "eval_allNLI-dev_dot_ap": 0.587991265887336, "eval_allNLI-dev_dot_f1": 0.5996204933586338, "eval_allNLI-dev_dot_f1_threshold": 187.17926025390625, "eval_allNLI-dev_dot_precision": 0.4463276836158192, "eval_allNLI-dev_dot_recall": 0.9132947976878613, "eval_allNLI-dev_euclidean_accuracy": 0.740234375, "eval_allNLI-dev_euclidean_accuracy_threshold": 13.375718116760254, "eval_allNLI-dev_euclidean_ap": 0.6391067622382595, "eval_allNLI-dev_euclidean_f1": 0.6478260869565217, "eval_allNLI-dev_euclidean_f1_threshold": 17.581111907958984, "eval_allNLI-dev_euclidean_precision": 0.519163763066202, "eval_allNLI-dev_euclidean_recall": 0.861271676300578, "eval_allNLI-dev_manhattan_accuracy": 0.740234375, "eval_allNLI-dev_manhattan_accuracy_threshold": 271.5396728515625, "eval_allNLI-dev_manhattan_ap": 0.6397141445378819, "eval_allNLI-dev_manhattan_f1": 0.6558139534883721, "eval_allNLI-dev_manhattan_f1_threshold": 356.73675537109375, "eval_allNLI-dev_manhattan_precision": 0.5486381322957199, "eval_allNLI-dev_manhattan_recall": 0.815028901734104, "eval_allNLI-dev_max_accuracy": 0.740234375, "eval_allNLI-dev_max_accuracy_threshold": 284.5158996582031, "eval_allNLI-dev_max_ap": 0.6397141445378819, "eval_allNLI-dev_max_f1": 0.6558139534883721, "eval_allNLI-dev_max_f1_threshold": 356.73675537109375, "eval_allNLI-dev_max_precision": 0.5486381322957199, "eval_allNLI-dev_max_recall": 0.9132947976878613, "eval_sequential_score": 0.7293997108333973, "eval_sts-test_pearson_cosine": 0.8826342923852873, "eval_sts-test_pearson_dot": 0.8663977738237862, "eval_sts-test_pearson_euclidean": 0.9007138184358896, "eval_sts-test_pearson_manhattan": 0.9014088314200603, "eval_sts-test_pearson_max": 0.9014088314200603, "eval_sts-test_spearman_cosine": 0.9062742181501622, "eval_sts-test_spearman_dot": 0.8628408814067393, "eval_sts-test_spearman_euclidean": 0.897460680975433, "eval_sts-test_spearman_manhattan": 0.8979340598184311, "eval_sts-test_spearman_max": 0.9062742181501622, "eval_vitaminc-pairs_loss": 2.7317824363708496, "eval_vitaminc-pairs_runtime": 3.8325, "eval_vitaminc-pairs_samples_per_second": 33.398, "eval_vitaminc-pairs_steps_per_second": 0.261, "step": 428 }, { "epoch": 0.5005847953216375, "eval_negation-triplets_loss": 1.0631705522537231, "eval_negation-triplets_runtime": 0.6008, "eval_negation-triplets_samples_per_second": 213.032, "eval_negation-triplets_steps_per_second": 1.664, "step": 428 }, { "epoch": 0.5005847953216375, "eval_scitail-pairs-pos_loss": 0.06051468849182129, "eval_scitail-pairs-pos_runtime": 0.8927, "eval_scitail-pairs-pos_samples_per_second": 143.381, "eval_scitail-pairs-pos_steps_per_second": 1.12, "step": 428 }, { "epoch": 0.5005847953216375, "eval_scitail-pairs-qa_loss": 3.731894366865163e-07, "eval_scitail-pairs-qa_runtime": 0.5829, "eval_scitail-pairs-qa_samples_per_second": 219.584, "eval_scitail-pairs-qa_steps_per_second": 1.716, "step": 428 }, { "epoch": 0.5005847953216375, "eval_xsum-pairs_loss": 0.004530374892055988, "eval_xsum-pairs_runtime": 2.7882, "eval_xsum-pairs_samples_per_second": 45.908, "eval_xsum-pairs_steps_per_second": 0.359, "step": 428 }, { "epoch": 0.5005847953216375, "eval_sciq_pairs_loss": 0.0028694826178252697, "eval_sciq_pairs_runtime": 4.1341, "eval_sciq_pairs_samples_per_second": 30.962, "eval_sciq_pairs_steps_per_second": 0.242, "step": 428 }, { "epoch": 0.5005847953216375, "eval_qasc_pairs_loss": 0.0601225420832634, "eval_qasc_pairs_runtime": 0.6017, "eval_qasc_pairs_samples_per_second": 212.728, "eval_qasc_pairs_steps_per_second": 1.662, "step": 428 }, { "epoch": 0.5005847953216375, "eval_openbookqa_pairs_loss": 1.2716314792633057, "eval_openbookqa_pairs_runtime": 0.5746, "eval_openbookqa_pairs_samples_per_second": 222.757, "eval_openbookqa_pairs_steps_per_second": 1.74, "step": 428 }, { "epoch": 0.5005847953216375, "eval_msmarco_pairs_loss": 0.16218337416648865, "eval_msmarco_pairs_runtime": 1.3355, "eval_msmarco_pairs_samples_per_second": 95.842, "eval_msmarco_pairs_steps_per_second": 0.749, "step": 428 }, { "epoch": 0.5005847953216375, "eval_nq_pairs_loss": 0.039985254406929016, "eval_nq_pairs_runtime": 2.9238, "eval_nq_pairs_samples_per_second": 43.779, "eval_nq_pairs_steps_per_second": 0.342, "step": 428 }, { "epoch": 0.5005847953216375, "eval_trivia_pairs_loss": 0.20936143398284912, "eval_trivia_pairs_runtime": 3.1822, "eval_trivia_pairs_samples_per_second": 40.223, "eval_trivia_pairs_steps_per_second": 0.314, "step": 428 }, { "epoch": 0.5005847953216375, "eval_gooaq_pairs_loss": 0.12705038487911224, "eval_gooaq_pairs_runtime": 0.8602, "eval_gooaq_pairs_samples_per_second": 148.795, "eval_gooaq_pairs_steps_per_second": 1.162, "step": 428 }, { "epoch": 0.5005847953216375, "eval_paws-pos_loss": 0.046078916639089584, "eval_paws-pos_runtime": 0.6578, "eval_paws-pos_samples_per_second": 194.575, "eval_paws-pos_steps_per_second": 1.52, "step": 428 }, { "epoch": 0.5005847953216375, "eval_global_dataset_loss": 0.21221815049648285, "eval_global_dataset_runtime": 24.2782, "eval_global_dataset_samples_per_second": 27.308, "eval_global_dataset_steps_per_second": 0.247, "step": 428 }, { "epoch": 0.5017543859649123, "grad_norm": 0.6901716589927673, "learning_rate": 1.3681785967399008e-05, "loss": 0.1293, "step": 429 }, { "epoch": 0.5146198830409356, "grad_norm": 1.1465657949447632, "learning_rate": 1.4032600992204112e-05, "loss": 0.1902, "step": 440 }, { "epoch": 0.5274853801169591, "grad_norm": 1.0795351266860962, "learning_rate": 1.4383416017009213e-05, "loss": 0.1429, "step": 451 }, { "epoch": 0.5403508771929825, "grad_norm": 0.9797111749649048, "learning_rate": 1.4734231041814317e-05, "loss": 0.2446, "step": 462 }, { "epoch": 0.5532163742690058, "grad_norm": 0.21088336408138275, "learning_rate": 1.5085046066619419e-05, "loss": 0.1623, "step": 473 }, { "epoch": 0.5660818713450292, "grad_norm": 0.4258130192756653, "learning_rate": 1.543586109142452e-05, "loss": 0.0707, "step": 484 }, { "epoch": 0.5789473684210527, "grad_norm": 0.8029544949531555, "learning_rate": 1.5786676116229624e-05, "loss": 0.1557, "step": 495 }, { "epoch": 0.591812865497076, "grad_norm": 2.734902858734131, "learning_rate": 1.613749114103473e-05, "loss": 0.2016, "step": 506 }, { "epoch": 0.6046783625730994, "grad_norm": 0.4968857169151306, "learning_rate": 1.648830616583983e-05, "loss": 0.1018, "step": 517 }, { "epoch": 0.6175438596491228, "grad_norm": 1.5250153541564941, "learning_rate": 1.6839121190644935e-05, "loss": 0.1821, "step": 528 }, { "epoch": 0.6304093567251462, "grad_norm": 0.7500655055046082, "learning_rate": 1.7189936215450038e-05, "loss": 0.1437, "step": 539 }, { "epoch": 0.6432748538011696, "grad_norm": 0.19580113887786865, "learning_rate": 1.7540751240255138e-05, "loss": 0.1112, "step": 550 }, { "epoch": 0.656140350877193, "grad_norm": 0.1376626342535019, "learning_rate": 1.789156626506024e-05, "loss": 0.12, "step": 561 }, { "epoch": 0.6690058479532164, "grad_norm": 0.49516016244888306, "learning_rate": 1.8242381289865345e-05, "loss": 0.0933, "step": 572 }, { "epoch": 0.6818713450292397, "grad_norm": 0.20120573043823242, "learning_rate": 1.859319631467045e-05, "loss": 0.0939, "step": 583 }, { "epoch": 0.6947368421052632, "grad_norm": 0.3648889362812042, "learning_rate": 1.894401133947555e-05, "loss": 0.2064, "step": 594 }, { "epoch": 0.7076023391812866, "grad_norm": 0.07958167791366577, "learning_rate": 1.9294826364280652e-05, "loss": 0.131, "step": 605 }, { "epoch": 0.7204678362573099, "grad_norm": 0.7020072340965271, "learning_rate": 1.9645641389085756e-05, "loss": 0.161, "step": 616 }, { "epoch": 0.7333333333333333, "grad_norm": 1.3057806491851807, "learning_rate": 1.999645641389086e-05, "loss": 0.213, "step": 627 }, { "epoch": 0.7461988304093568, "grad_norm": 0.7668664455413818, "learning_rate": 2.034727143869596e-05, "loss": 0.1853, "step": 638 }, { "epoch": 0.7508771929824561, "eval_Qnli-dev_cosine_accuracy": 0.693359375, "eval_Qnli-dev_cosine_accuracy_threshold": 0.6550551652908325, "eval_Qnli-dev_cosine_ap": 0.7155098805507838, "eval_Qnli-dev_cosine_f1": 0.6794871794871794, "eval_Qnli-dev_cosine_f1_threshold": 0.4866919219493866, "eval_Qnli-dev_cosine_precision": 0.5463917525773195, "eval_Qnli-dev_cosine_recall": 0.8983050847457628, "eval_Qnli-dev_dot_accuracy": 0.67578125, "eval_Qnli-dev_dot_accuracy_threshold": 258.037841796875, "eval_Qnli-dev_dot_ap": 0.672701841309456, "eval_Qnli-dev_dot_f1": 0.6731078904991948, "eval_Qnli-dev_dot_f1_threshold": 197.6945343017578, "eval_Qnli-dev_dot_precision": 0.5428571428571428, "eval_Qnli-dev_dot_recall": 0.885593220338983, "eval_Qnli-dev_euclidean_accuracy": 0.697265625, "eval_Qnli-dev_euclidean_accuracy_threshold": 16.745851516723633, "eval_Qnli-dev_euclidean_ap": 0.7236455475550527, "eval_Qnli-dev_euclidean_f1": 0.6750524109014674, "eval_Qnli-dev_euclidean_f1_threshold": 17.19139862060547, "eval_Qnli-dev_euclidean_precision": 0.6680497925311203, "eval_Qnli-dev_euclidean_recall": 0.6822033898305084, "eval_Qnli-dev_manhattan_accuracy": 0.697265625, "eval_Qnli-dev_manhattan_accuracy_threshold": 362.6970520019531, "eval_Qnli-dev_manhattan_ap": 0.7257321921740054, "eval_Qnli-dev_manhattan_f1": 0.6774847870182557, "eval_Qnli-dev_manhattan_f1_threshold": 369.7593994140625, "eval_Qnli-dev_manhattan_precision": 0.6498054474708171, "eval_Qnli-dev_manhattan_recall": 0.7076271186440678, "eval_Qnli-dev_max_accuracy": 0.697265625, "eval_Qnli-dev_max_accuracy_threshold": 362.6970520019531, "eval_Qnli-dev_max_ap": 0.7257321921740054, "eval_Qnli-dev_max_f1": 0.6794871794871794, "eval_Qnli-dev_max_f1_threshold": 369.7593994140625, "eval_Qnli-dev_max_precision": 0.6680497925311203, "eval_Qnli-dev_max_recall": 0.8983050847457628, "eval_allNLI-dev_cosine_accuracy": 0.73828125, "eval_allNLI-dev_cosine_accuracy_threshold": 0.7900433540344238, "eval_allNLI-dev_cosine_ap": 0.6359348988299178, "eval_allNLI-dev_cosine_f1": 0.639269406392694, "eval_allNLI-dev_cosine_f1_threshold": 0.6079586744308472, "eval_allNLI-dev_cosine_precision": 0.5283018867924528, "eval_allNLI-dev_cosine_recall": 0.8092485549132948, "eval_allNLI-dev_dot_accuracy": 0.7265625, "eval_allNLI-dev_dot_accuracy_threshold": 282.57489013671875, "eval_allNLI-dev_dot_ap": 0.589207838274076, "eval_allNLI-dev_dot_f1": 0.6059405940594059, "eval_allNLI-dev_dot_f1_threshold": 203.0603485107422, "eval_allNLI-dev_dot_precision": 0.4608433734939759, "eval_allNLI-dev_dot_recall": 0.884393063583815, "eval_allNLI-dev_euclidean_accuracy": 0.744140625, "eval_allNLI-dev_euclidean_accuracy_threshold": 13.129840850830078, "eval_allNLI-dev_euclidean_ap": 0.6431587171633473, "eval_allNLI-dev_euclidean_f1": 0.6506550218340611, "eval_allNLI-dev_euclidean_f1_threshold": 17.757301330566406, "eval_allNLI-dev_euclidean_precision": 0.5228070175438596, "eval_allNLI-dev_euclidean_recall": 0.861271676300578, "eval_allNLI-dev_manhattan_accuracy": 0.74609375, "eval_allNLI-dev_manhattan_accuracy_threshold": 276.65826416015625, "eval_allNLI-dev_manhattan_ap": 0.6424686977323816, "eval_allNLI-dev_manhattan_f1": 0.6589861751152074, "eval_allNLI-dev_manhattan_f1_threshold": 362.68414306640625, "eval_allNLI-dev_manhattan_precision": 0.5478927203065134, "eval_allNLI-dev_manhattan_recall": 0.8265895953757225, "eval_allNLI-dev_max_accuracy": 0.74609375, "eval_allNLI-dev_max_accuracy_threshold": 282.57489013671875, "eval_allNLI-dev_max_ap": 0.6431587171633473, "eval_allNLI-dev_max_f1": 0.6589861751152074, "eval_allNLI-dev_max_f1_threshold": 362.68414306640625, "eval_allNLI-dev_max_precision": 0.5478927203065134, "eval_allNLI-dev_max_recall": 0.884393063583815, "eval_sequential_score": 0.7257321921740054, "eval_sts-test_pearson_cosine": 0.8848372605057793, "eval_sts-test_pearson_dot": 0.8709019996065221, "eval_sts-test_pearson_euclidean": 0.9038234321498232, "eval_sts-test_pearson_manhattan": 0.9044737426180963, "eval_sts-test_pearson_max": 0.9044737426180963, "eval_sts-test_spearman_cosine": 0.9073185783372533, "eval_sts-test_spearman_dot": 0.8668432552205406, "eval_sts-test_spearman_euclidean": 0.899716547310912, "eval_sts-test_spearman_manhattan": 0.9006361409812439, "eval_sts-test_spearman_max": 0.9073185783372533, "eval_vitaminc-pairs_loss": 2.7074272632598877, "eval_vitaminc-pairs_runtime": 3.7948, "eval_vitaminc-pairs_samples_per_second": 33.73, "eval_vitaminc-pairs_steps_per_second": 0.264, "step": 642 }, { "epoch": 0.7508771929824561, "eval_negation-triplets_loss": 1.0683540105819702, "eval_negation-triplets_runtime": 0.5897, "eval_negation-triplets_samples_per_second": 217.072, "eval_negation-triplets_steps_per_second": 1.696, "step": 642 }, { "epoch": 0.7508771929824561, "eval_scitail-pairs-pos_loss": 0.05928462743759155, "eval_scitail-pairs-pos_runtime": 0.8353, "eval_scitail-pairs-pos_samples_per_second": 153.247, "eval_scitail-pairs-pos_steps_per_second": 1.197, "step": 642 }, { "epoch": 0.7508771929824561, "eval_scitail-pairs-qa_loss": 2.8886071845590777e-07, "eval_scitail-pairs-qa_runtime": 0.58, "eval_scitail-pairs-qa_samples_per_second": 220.677, "eval_scitail-pairs-qa_steps_per_second": 1.724, "step": 642 }, { "epoch": 0.7508771929824561, "eval_xsum-pairs_loss": 0.005155234597623348, "eval_xsum-pairs_runtime": 2.8136, "eval_xsum-pairs_samples_per_second": 45.494, "eval_xsum-pairs_steps_per_second": 0.355, "step": 642 }, { "epoch": 0.7508771929824561, "eval_sciq_pairs_loss": 0.0030471039935946465, "eval_sciq_pairs_runtime": 4.0962, "eval_sciq_pairs_samples_per_second": 31.248, "eval_sciq_pairs_steps_per_second": 0.244, "step": 642 }, { "epoch": 0.7508771929824561, "eval_qasc_pairs_loss": 0.05629788711667061, "eval_qasc_pairs_runtime": 0.5944, "eval_qasc_pairs_samples_per_second": 215.353, "eval_qasc_pairs_steps_per_second": 1.682, "step": 642 }, { "epoch": 0.7508771929824561, "eval_openbookqa_pairs_loss": 1.2897449731826782, "eval_openbookqa_pairs_runtime": 0.5597, "eval_openbookqa_pairs_samples_per_second": 228.687, "eval_openbookqa_pairs_steps_per_second": 1.787, "step": 642 }, { "epoch": 0.7508771929824561, "eval_msmarco_pairs_loss": 0.14785167574882507, "eval_msmarco_pairs_runtime": 1.3218, "eval_msmarco_pairs_samples_per_second": 96.836, "eval_msmarco_pairs_steps_per_second": 0.757, "step": 642 }, { "epoch": 0.7508771929824561, "eval_nq_pairs_loss": 0.04229257255792618, "eval_nq_pairs_runtime": 2.9207, "eval_nq_pairs_samples_per_second": 43.825, "eval_nq_pairs_steps_per_second": 0.342, "step": 642 }, { "epoch": 0.7508771929824561, "eval_trivia_pairs_loss": 0.2112799882888794, "eval_trivia_pairs_runtime": 3.1802, "eval_trivia_pairs_samples_per_second": 40.249, "eval_trivia_pairs_steps_per_second": 0.314, "step": 642 }, { "epoch": 0.7508771929824561, "eval_gooaq_pairs_loss": 0.11469888687133789, "eval_gooaq_pairs_runtime": 0.8601, "eval_gooaq_pairs_samples_per_second": 148.825, "eval_gooaq_pairs_steps_per_second": 1.163, "step": 642 }, { "epoch": 0.7508771929824561, "eval_paws-pos_loss": 0.0460214801132679, "eval_paws-pos_runtime": 0.6612, "eval_paws-pos_samples_per_second": 193.581, "eval_paws-pos_steps_per_second": 1.512, "step": 642 }, { "epoch": 0.7508771929824561, "eval_global_dataset_loss": 0.20304369926452637, "eval_global_dataset_runtime": 24.1397, "eval_global_dataset_samples_per_second": 27.465, "eval_global_dataset_steps_per_second": 0.249, "step": 642 }, { "epoch": 0.7590643274853801, "grad_norm": 0.5546406507492065, "learning_rate": 2.0698086463501066e-05, "loss": 0.1919, "step": 649 }, { "epoch": 0.7719298245614035, "grad_norm": 0.16179773211479187, "learning_rate": 2.1048901488306166e-05, "loss": 0.1395, "step": 660 }, { "epoch": 0.7847953216374269, "grad_norm": 0.4947220981121063, "learning_rate": 2.139971651311127e-05, "loss": 0.2047, "step": 671 }, { "epoch": 0.7976608187134503, "grad_norm": 0.4697045683860779, "learning_rate": 2.1750531537916374e-05, "loss": 0.1421, "step": 682 }, { "epoch": 0.8105263157894737, "grad_norm": 0.7013148665428162, "learning_rate": 2.2101346562721477e-05, "loss": 0.1227, "step": 693 }, { "epoch": 0.8233918128654971, "grad_norm": 1.1045671701431274, "learning_rate": 2.2452161587526577e-05, "loss": 0.1235, "step": 704 }, { "epoch": 0.8362573099415205, "grad_norm": 1.5613625049591064, "learning_rate": 2.280297661233168e-05, "loss": 0.2004, "step": 715 }, { "epoch": 0.8491228070175438, "grad_norm": 0.23709431290626526, "learning_rate": 2.3153791637136788e-05, "loss": 0.1568, "step": 726 }, { "epoch": 0.8619883040935673, "grad_norm": 1.1035298109054565, "learning_rate": 2.3504606661941888e-05, "loss": 0.1598, "step": 737 }, { "epoch": 0.8748538011695907, "grad_norm": 0.7472051978111267, "learning_rate": 2.385542168674699e-05, "loss": 0.1328, "step": 748 }, { "epoch": 0.887719298245614, "grad_norm": 0.57217937707901, "learning_rate": 2.420623671155209e-05, "loss": 0.0999, "step": 759 }, { "epoch": 0.9005847953216374, "grad_norm": 0.3447597920894623, "learning_rate": 2.4557051736357198e-05, "loss": 0.1058, "step": 770 }, { "epoch": 0.9134502923976608, "grad_norm": 1.0243078470230103, "learning_rate": 2.4907866761162295e-05, "loss": 0.1673, "step": 781 }, { "epoch": 0.9263157894736842, "grad_norm": 1.0685806274414062, "learning_rate": 2.5258681785967402e-05, "loss": 0.1905, "step": 792 }, { "epoch": 0.9391812865497076, "grad_norm": 1.1175950765609741, "learning_rate": 2.5609496810772502e-05, "loss": 0.1463, "step": 803 }, { "epoch": 0.952046783625731, "grad_norm": 0.13670021295547485, "learning_rate": 2.5960311835577605e-05, "loss": 0.1294, "step": 814 }, { "epoch": 0.9649122807017544, "grad_norm": 0.6462442278862, "learning_rate": 2.6311126860382706e-05, "loss": 0.1312, "step": 825 }, { "epoch": 0.9777777777777777, "grad_norm": 0.1836312711238861, "learning_rate": 2.6661941885187812e-05, "loss": 0.1308, "step": 836 }, { "epoch": 0.9906432748538012, "grad_norm": 4.2791407395270653e-07, "learning_rate": 2.7012756909992913e-05, "loss": 0.1076, "step": 847 }, { "epoch": 1.001169590643275, "eval_Qnli-dev_cosine_accuracy": 0.69140625, "eval_Qnli-dev_cosine_accuracy_threshold": 0.657210111618042, "eval_Qnli-dev_cosine_ap": 0.714041144664227, "eval_Qnli-dev_cosine_f1": 0.6783439490445861, "eval_Qnli-dev_cosine_f1_threshold": 0.48659271001815796, "eval_Qnli-dev_cosine_precision": 0.5433673469387755, "eval_Qnli-dev_cosine_recall": 0.902542372881356, "eval_Qnli-dev_dot_accuracy": 0.669921875, "eval_Qnli-dev_dot_accuracy_threshold": 256.53155517578125, "eval_Qnli-dev_dot_ap": 0.6648303273464243, "eval_Qnli-dev_dot_f1": 0.678125, "eval_Qnli-dev_dot_f1_threshold": 178.63389587402344, "eval_Qnli-dev_dot_precision": 0.5371287128712872, "eval_Qnli-dev_dot_recall": 0.9194915254237288, "eval_Qnli-dev_euclidean_accuracy": 0.6953125, "eval_Qnli-dev_euclidean_accuracy_threshold": 16.298263549804688, "eval_Qnli-dev_euclidean_ap": 0.7198419743004867, "eval_Qnli-dev_euclidean_f1": 0.6771929824561403, "eval_Qnli-dev_euclidean_f1_threshold": 18.734228134155273, "eval_Qnli-dev_euclidean_precision": 0.5778443113772455, "eval_Qnli-dev_euclidean_recall": 0.8177966101694916, "eval_Qnli-dev_manhattan_accuracy": 0.697265625, "eval_Qnli-dev_manhattan_accuracy_threshold": 350.3825988769531, "eval_Qnli-dev_manhattan_ap": 0.7225583351616828, "eval_Qnli-dev_manhattan_f1": 0.6733466933867736, "eval_Qnli-dev_manhattan_f1_threshold": 364.5922546386719, "eval_Qnli-dev_manhattan_precision": 0.6387832699619772, "eval_Qnli-dev_manhattan_recall": 0.711864406779661, "eval_Qnli-dev_max_accuracy": 0.697265625, "eval_Qnli-dev_max_accuracy_threshold": 350.3825988769531, "eval_Qnli-dev_max_ap": 0.7225583351616828, "eval_Qnli-dev_max_f1": 0.6783439490445861, "eval_Qnli-dev_max_f1_threshold": 364.5922546386719, "eval_Qnli-dev_max_precision": 0.6387832699619772, "eval_Qnli-dev_max_recall": 0.9194915254237288, "eval_allNLI-dev_cosine_accuracy": 0.73828125, "eval_allNLI-dev_cosine_accuracy_threshold": 0.7839766144752502, "eval_allNLI-dev_cosine_ap": 0.6377040389504978, "eval_allNLI-dev_cosine_f1": 0.6371681415929203, "eval_allNLI-dev_cosine_f1_threshold": 0.5921227931976318, "eval_allNLI-dev_cosine_precision": 0.5161290322580645, "eval_allNLI-dev_cosine_recall": 0.8323699421965318, "eval_allNLI-dev_dot_accuracy": 0.72265625, "eval_allNLI-dev_dot_accuracy_threshold": 287.0504150390625, "eval_allNLI-dev_dot_ap": 0.5976338107788919, "eval_allNLI-dev_dot_f1": 0.615, "eval_allNLI-dev_dot_f1_threshold": 242.96902465820312, "eval_allNLI-dev_dot_precision": 0.5418502202643172, "eval_allNLI-dev_dot_recall": 0.7109826589595376, "eval_allNLI-dev_euclidean_accuracy": 0.740234375, "eval_allNLI-dev_euclidean_accuracy_threshold": 13.528583526611328, "eval_allNLI-dev_euclidean_ap": 0.6364974679625237, "eval_allNLI-dev_euclidean_f1": 0.6419753086419753, "eval_allNLI-dev_euclidean_f1_threshold": 16.527751922607422, "eval_allNLI-dev_euclidean_precision": 0.5603448275862069, "eval_allNLI-dev_euclidean_recall": 0.7514450867052023, "eval_allNLI-dev_manhattan_accuracy": 0.73828125, "eval_allNLI-dev_manhattan_accuracy_threshold": 287.6244812011719, "eval_allNLI-dev_manhattan_ap": 0.6359733229236403, "eval_allNLI-dev_manhattan_f1": 0.6461538461538462, "eval_allNLI-dev_manhattan_f1_threshold": 341.6584167480469, "eval_allNLI-dev_manhattan_precision": 0.5806451612903226, "eval_allNLI-dev_manhattan_recall": 0.7283236994219653, "eval_allNLI-dev_max_accuracy": 0.740234375, "eval_allNLI-dev_max_accuracy_threshold": 287.6244812011719, "eval_allNLI-dev_max_ap": 0.6377040389504978, "eval_allNLI-dev_max_f1": 0.6461538461538462, "eval_allNLI-dev_max_f1_threshold": 341.6584167480469, "eval_allNLI-dev_max_precision": 0.5806451612903226, "eval_allNLI-dev_max_recall": 0.8323699421965318, "eval_sequential_score": 0.7225583351616828, "eval_sts-test_pearson_cosine": 0.8846526004146165, "eval_sts-test_pearson_dot": 0.8694917588757636, "eval_sts-test_pearson_euclidean": 0.903648547377558, "eval_sts-test_pearson_manhattan": 0.9046900352481024, "eval_sts-test_pearson_max": 0.9046900352481024, "eval_sts-test_spearman_cosine": 0.9069678627017289, "eval_sts-test_spearman_dot": 0.8661496554202353, "eval_sts-test_spearman_euclidean": 0.8991392112877015, "eval_sts-test_spearman_manhattan": 0.9004067012640901, "eval_sts-test_spearman_max": 0.9069678627017289, "eval_vitaminc-pairs_loss": 2.658703327178955, "eval_vitaminc-pairs_runtime": 3.7894, "eval_vitaminc-pairs_samples_per_second": 33.778, "eval_vitaminc-pairs_steps_per_second": 0.264, "step": 856 }, { "epoch": 1.001169590643275, "eval_negation-triplets_loss": 1.048051357269287, "eval_negation-triplets_runtime": 0.5948, "eval_negation-triplets_samples_per_second": 215.195, "eval_negation-triplets_steps_per_second": 1.681, "step": 856 }, { "epoch": 1.001169590643275, "eval_scitail-pairs-pos_loss": 0.05958803743124008, "eval_scitail-pairs-pos_runtime": 0.8408, "eval_scitail-pairs-pos_samples_per_second": 152.231, "eval_scitail-pairs-pos_steps_per_second": 1.189, "step": 856 }, { "epoch": 1.001169590643275, "eval_scitail-pairs-qa_loss": 4.770551527144562e-07, "eval_scitail-pairs-qa_runtime": 0.5629, "eval_scitail-pairs-qa_samples_per_second": 227.394, "eval_scitail-pairs-qa_steps_per_second": 1.777, "step": 856 }, { "epoch": 1.001169590643275, "eval_xsum-pairs_loss": 0.005623215343803167, "eval_xsum-pairs_runtime": 2.7656, "eval_xsum-pairs_samples_per_second": 46.283, "eval_xsum-pairs_steps_per_second": 0.362, "step": 856 }, { "epoch": 1.001169590643275, "eval_sciq_pairs_loss": 0.0031388087663799524, "eval_sciq_pairs_runtime": 4.099, "eval_sciq_pairs_samples_per_second": 31.227, "eval_sciq_pairs_steps_per_second": 0.244, "step": 856 }, { "epoch": 1.001169590643275, "eval_qasc_pairs_loss": 0.05423235148191452, "eval_qasc_pairs_runtime": 0.596, "eval_qasc_pairs_samples_per_second": 214.767, "eval_qasc_pairs_steps_per_second": 1.678, "step": 856 }, { "epoch": 1.001169590643275, "eval_openbookqa_pairs_loss": 1.2992339134216309, "eval_openbookqa_pairs_runtime": 0.5529, "eval_openbookqa_pairs_samples_per_second": 231.507, "eval_openbookqa_pairs_steps_per_second": 1.809, "step": 856 }, { "epoch": 1.001169590643275, "eval_msmarco_pairs_loss": 0.15928690135478973, "eval_msmarco_pairs_runtime": 1.3201, "eval_msmarco_pairs_samples_per_second": 96.963, "eval_msmarco_pairs_steps_per_second": 0.758, "step": 856 }, { "epoch": 1.001169590643275, "eval_nq_pairs_loss": 0.04052837938070297, "eval_nq_pairs_runtime": 2.9252, "eval_nq_pairs_samples_per_second": 43.758, "eval_nq_pairs_steps_per_second": 0.342, "step": 856 }, { "epoch": 1.001169590643275, "eval_trivia_pairs_loss": 0.21009953320026398, "eval_trivia_pairs_runtime": 3.1824, "eval_trivia_pairs_samples_per_second": 40.221, "eval_trivia_pairs_steps_per_second": 0.314, "step": 856 }, { "epoch": 1.001169590643275, "eval_gooaq_pairs_loss": 0.11401581764221191, "eval_gooaq_pairs_runtime": 0.8553, "eval_gooaq_pairs_samples_per_second": 149.66, "eval_gooaq_pairs_steps_per_second": 1.169, "step": 856 }, { "epoch": 1.001169590643275, "eval_paws-pos_loss": 0.04620524123311043, "eval_paws-pos_runtime": 0.6561, "eval_paws-pos_samples_per_second": 195.099, "eval_paws-pos_steps_per_second": 1.524, "step": 856 }, { "epoch": 1.001169590643275, "eval_global_dataset_loss": 0.20265640318393707, "eval_global_dataset_runtime": 24.1741, "eval_global_dataset_samples_per_second": 27.426, "eval_global_dataset_steps_per_second": 0.248, "step": 856 } ], "logging_steps": 11, "max_steps": 4275, "num_input_tokens_seen": 0, "num_train_epochs": 5, "save_steps": 214, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 0.0, "train_batch_size": 96, "trial_name": null, "trial_params": null }