bobox's picture
Training in progress, step 1570, checkpoint
e373501 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0038363171355498,
"eval_steps": 157,
"global_step": 1570,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.010230179028132993,
"grad_norm": 200.60667419433594,
"learning_rate": 2.129925452609159e-07,
"loss": 7.1882,
"step": 16
},
{
"epoch": 0.020460358056265986,
"grad_norm": 174.4742889404297,
"learning_rate": 5.324813631522898e-07,
"loss": 9.1489,
"step": 32
},
{
"epoch": 0.030690537084398978,
"grad_norm": 193.9903106689453,
"learning_rate": 8.732694355697552e-07,
"loss": 8.805,
"step": 48
},
{
"epoch": 0.04092071611253197,
"grad_norm": 3077.94775390625,
"learning_rate": 1.192758253461129e-06,
"loss": 5.7489,
"step": 64
},
{
"epoch": 0.05115089514066496,
"grad_norm": 80.12879943847656,
"learning_rate": 1.5335463258785943e-06,
"loss": 4.7163,
"step": 80
},
{
"epoch": 0.061381074168797956,
"grad_norm": 99.18599700927734,
"learning_rate": 1.8743343982960599e-06,
"loss": 3.176,
"step": 96
},
{
"epoch": 0.07161125319693094,
"grad_norm": 23.476715087890625,
"learning_rate": 2.1938232161874336e-06,
"loss": 2.034,
"step": 112
},
{
"epoch": 0.08184143222506395,
"grad_norm": 39.820777893066406,
"learning_rate": 2.534611288604899e-06,
"loss": 1.1278,
"step": 128
},
{
"epoch": 0.09207161125319693,
"grad_norm": 12.513270378112793,
"learning_rate": 2.8753993610223648e-06,
"loss": 0.7996,
"step": 144
},
{
"epoch": 0.100383631713555,
"eval_Qnli-dev_cosine_accuracy": 0.662109375,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.8656402826309204,
"eval_Qnli-dev_cosine_ap": 0.6654869266843996,
"eval_Qnli-dev_cosine_f1": 0.6504559270516718,
"eval_Qnli-dev_cosine_f1_threshold": 0.6888570785522461,
"eval_Qnli-dev_cosine_precision": 0.5071090047393365,
"eval_Qnli-dev_cosine_recall": 0.9067796610169492,
"eval_Qnli-dev_dot_accuracy": 0.654296875,
"eval_Qnli-dev_dot_accuracy_threshold": 905.306640625,
"eval_Qnli-dev_dot_ap": 0.6262830221036416,
"eval_Qnli-dev_dot_f1": 0.65625,
"eval_Qnli-dev_dot_f1_threshold": 810.4493408203125,
"eval_Qnli-dev_dot_precision": 0.5558823529411765,
"eval_Qnli-dev_dot_recall": 0.8008474576271186,
"eval_Qnli-dev_euclidean_accuracy": 0.662109375,
"eval_Qnli-dev_euclidean_accuracy_threshold": 17.05492401123047,
"eval_Qnli-dev_euclidean_ap": 0.6671756125841228,
"eval_Qnli-dev_euclidean_f1": 0.6495176848874598,
"eval_Qnli-dev_euclidean_f1_threshold": 23.73143768310547,
"eval_Qnli-dev_euclidean_precision": 0.5233160621761658,
"eval_Qnli-dev_euclidean_recall": 0.8559322033898306,
"eval_Qnli-dev_manhattan_accuracy": 0.65625,
"eval_Qnli-dev_manhattan_accuracy_threshold": 526.1962890625,
"eval_Qnli-dev_manhattan_ap": 0.6662986170174698,
"eval_Qnli-dev_manhattan_f1": 0.6487341772151899,
"eval_Qnli-dev_manhattan_f1_threshold": 748.320068359375,
"eval_Qnli-dev_manhattan_precision": 0.5176767676767676,
"eval_Qnli-dev_manhattan_recall": 0.8686440677966102,
"eval_Qnli-dev_max_accuracy": 0.662109375,
"eval_Qnli-dev_max_accuracy_threshold": 905.306640625,
"eval_Qnli-dev_max_ap": 0.6671756125841228,
"eval_Qnli-dev_max_f1": 0.65625,
"eval_Qnli-dev_max_f1_threshold": 810.4493408203125,
"eval_Qnli-dev_max_precision": 0.5558823529411765,
"eval_Qnli-dev_max_recall": 0.9067796610169492,
"eval_allNLI-dev_cosine_accuracy": 0.6875,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.9388645887374878,
"eval_allNLI-dev_cosine_ap": 0.5213973850248246,
"eval_allNLI-dev_cosine_f1": 0.5590361445783132,
"eval_allNLI-dev_cosine_f1_threshold": 0.7874077558517456,
"eval_allNLI-dev_cosine_precision": 0.4793388429752066,
"eval_allNLI-dev_cosine_recall": 0.6705202312138728,
"eval_allNLI-dev_dot_accuracy": 0.6953125,
"eval_allNLI-dev_dot_accuracy_threshold": 942.6085205078125,
"eval_allNLI-dev_dot_ap": 0.520777376545363,
"eval_allNLI-dev_dot_f1": 0.5538461538461539,
"eval_allNLI-dev_dot_f1_threshold": 817.1332397460938,
"eval_allNLI-dev_dot_precision": 0.44680851063829785,
"eval_allNLI-dev_dot_recall": 0.7283236994219653,
"eval_allNLI-dev_euclidean_accuracy": 0.6875,
"eval_allNLI-dev_euclidean_accuracy_threshold": 12.643478393554688,
"eval_allNLI-dev_euclidean_ap": 0.518083458930424,
"eval_allNLI-dev_euclidean_f1": 0.5605381165919282,
"eval_allNLI-dev_euclidean_f1_threshold": 22.352760314941406,
"eval_allNLI-dev_euclidean_precision": 0.45787545787545786,
"eval_allNLI-dev_euclidean_recall": 0.7225433526011561,
"eval_allNLI-dev_manhattan_accuracy": 0.6875,
"eval_allNLI-dev_manhattan_accuracy_threshold": 392.8375549316406,
"eval_allNLI-dev_manhattan_ap": 0.5229585168795372,
"eval_allNLI-dev_manhattan_f1": 0.5590909090909091,
"eval_allNLI-dev_manhattan_f1_threshold": 690.5735473632812,
"eval_allNLI-dev_manhattan_precision": 0.4606741573033708,
"eval_allNLI-dev_manhattan_recall": 0.7109826589595376,
"eval_allNLI-dev_max_accuracy": 0.6953125,
"eval_allNLI-dev_max_accuracy_threshold": 942.6085205078125,
"eval_allNLI-dev_max_ap": 0.5229585168795372,
"eval_allNLI-dev_max_f1": 0.5605381165919282,
"eval_allNLI-dev_max_f1_threshold": 817.1332397460938,
"eval_allNLI-dev_max_precision": 0.4793388429752066,
"eval_allNLI-dev_max_recall": 0.7283236994219653,
"eval_sequential_score": 0.6671756125841228,
"eval_sts-test_pearson_cosine": 0.8718645025760672,
"eval_sts-test_pearson_dot": 0.8442027854618407,
"eval_sts-test_pearson_euclidean": 0.8902978035400368,
"eval_sts-test_pearson_manhattan": 0.8909390707647828,
"eval_sts-test_pearson_max": 0.8909390707647828,
"eval_sts-test_spearman_cosine": 0.8775905391512535,
"eval_sts-test_spearman_dot": 0.8282565695883292,
"eval_sts-test_spearman_euclidean": 0.8785767674497972,
"eval_sts-test_spearman_manhattan": 0.8796654313856657,
"eval_sts-test_spearman_max": 0.8796654313856657,
"eval_vitaminc-pairs_loss": 3.82141375541687,
"eval_vitaminc-pairs_runtime": 4.6321,
"eval_vitaminc-pairs_samples_per_second": 27.633,
"eval_vitaminc-pairs_steps_per_second": 0.216,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_negation-triplets_loss": 1.2526816129684448,
"eval_negation-triplets_runtime": 3.4008,
"eval_negation-triplets_samples_per_second": 37.638,
"eval_negation-triplets_steps_per_second": 0.294,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_scitail-pairs-pos_loss": 0.07802588492631912,
"eval_scitail-pairs-pos_runtime": 2.7191,
"eval_scitail-pairs-pos_samples_per_second": 47.075,
"eval_scitail-pairs-pos_steps_per_second": 0.368,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_scitail-pairs-qa_loss": 0.11051780730485916,
"eval_scitail-pairs-qa_runtime": 2.1249,
"eval_scitail-pairs-qa_samples_per_second": 60.237,
"eval_scitail-pairs-qa_steps_per_second": 0.471,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_xsum-pairs_loss": 0.1444225311279297,
"eval_xsum-pairs_runtime": 3.075,
"eval_xsum-pairs_samples_per_second": 41.626,
"eval_xsum-pairs_steps_per_second": 0.325,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_sciq_pairs_loss": 0.10900198668241501,
"eval_sciq_pairs_runtime": 4.6201,
"eval_sciq_pairs_samples_per_second": 27.705,
"eval_sciq_pairs_steps_per_second": 0.216,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_qasc_pairs_loss": 0.8441975116729736,
"eval_qasc_pairs_runtime": 2.0926,
"eval_qasc_pairs_samples_per_second": 61.168,
"eval_qasc_pairs_steps_per_second": 0.478,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_openbookqa_pairs_loss": 0.7852775454521179,
"eval_openbookqa_pairs_runtime": 2.2378,
"eval_openbookqa_pairs_samples_per_second": 57.198,
"eval_openbookqa_pairs_steps_per_second": 0.447,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_msmarco_pairs_loss": 0.7973570823669434,
"eval_msmarco_pairs_runtime": 2.2477,
"eval_msmarco_pairs_samples_per_second": 56.948,
"eval_msmarco_pairs_steps_per_second": 0.445,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_nq_pairs_loss": 1.149829387664795,
"eval_nq_pairs_runtime": 3.1982,
"eval_nq_pairs_samples_per_second": 40.023,
"eval_nq_pairs_steps_per_second": 0.313,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_trivia_pairs_loss": 0.46642398834228516,
"eval_trivia_pairs_runtime": 3.2778,
"eval_trivia_pairs_samples_per_second": 39.05,
"eval_trivia_pairs_steps_per_second": 0.305,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_gooaq_pairs_loss": 0.7757962346076965,
"eval_gooaq_pairs_runtime": 2.1385,
"eval_gooaq_pairs_samples_per_second": 59.856,
"eval_gooaq_pairs_steps_per_second": 0.468,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_paws-pos_loss": 0.03750575706362724,
"eval_paws-pos_runtime": 2.2521,
"eval_paws-pos_samples_per_second": 56.836,
"eval_paws-pos_steps_per_second": 0.444,
"step": 157
},
{
"epoch": 0.100383631713555,
"eval_global_dataset_loss": 0.48674729466438293,
"eval_global_dataset_runtime": 8.6002,
"eval_global_dataset_samples_per_second": 37.79,
"eval_global_dataset_steps_per_second": 0.349,
"step": 157
},
{
"epoch": 0.10230179028132992,
"grad_norm": 45.195247650146484,
"learning_rate": 3.2161874334398298e-06,
"loss": 0.54,
"step": 160
},
{
"epoch": 0.11253196930946291,
"grad_norm": 64.59953308105469,
"learning_rate": 3.556975505857295e-06,
"loss": 0.6267,
"step": 176
},
{
"epoch": 0.12276214833759591,
"grad_norm": 108.30097961425781,
"learning_rate": 3.8977635782747605e-06,
"loss": 0.401,
"step": 192
},
{
"epoch": 0.1329923273657289,
"grad_norm": 10.606786727905273,
"learning_rate": 4.238551650692226e-06,
"loss": 0.455,
"step": 208
},
{
"epoch": 0.1432225063938619,
"grad_norm": 10.502503395080566,
"learning_rate": 4.579339723109691e-06,
"loss": 0.308,
"step": 224
},
{
"epoch": 0.1534526854219949,
"grad_norm": 10.550800323486328,
"learning_rate": 4.920127795527157e-06,
"loss": 0.2808,
"step": 240
},
{
"epoch": 0.1636828644501279,
"grad_norm": 0.047671813517808914,
"learning_rate": 5.260915867944623e-06,
"loss": 0.319,
"step": 256
},
{
"epoch": 0.17391304347826086,
"grad_norm": 4.752868175506592,
"learning_rate": 5.6017039403620875e-06,
"loss": 0.3241,
"step": 272
},
{
"epoch": 0.18414322250639387,
"grad_norm": 3.744504690170288,
"learning_rate": 5.942492012779553e-06,
"loss": 0.2181,
"step": 288
},
{
"epoch": 0.19437340153452684,
"grad_norm": 0.10304329544305801,
"learning_rate": 6.283280085197019e-06,
"loss": 0.3247,
"step": 304
},
{
"epoch": 0.20076726342711,
"eval_Qnli-dev_cosine_accuracy": 0.68359375,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.728395938873291,
"eval_Qnli-dev_cosine_ap": 0.7208629559865216,
"eval_Qnli-dev_cosine_f1": 0.6887661141804787,
"eval_Qnli-dev_cosine_f1_threshold": 0.671984076499939,
"eval_Qnli-dev_cosine_precision": 0.6091205211726385,
"eval_Qnli-dev_cosine_recall": 0.7923728813559322,
"eval_Qnli-dev_dot_accuracy": 0.681640625,
"eval_Qnli-dev_dot_accuracy_threshold": 713.8800048828125,
"eval_Qnli-dev_dot_ap": 0.6851873907589782,
"eval_Qnli-dev_dot_f1": 0.6788685524126457,
"eval_Qnli-dev_dot_f1_threshold": 571.084228515625,
"eval_Qnli-dev_dot_precision": 0.5589041095890411,
"eval_Qnli-dev_dot_recall": 0.864406779661017,
"eval_Qnli-dev_euclidean_accuracy": 0.689453125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 23.01095962524414,
"eval_Qnli-dev_euclidean_ap": 0.7234217762808675,
"eval_Qnli-dev_euclidean_f1": 0.6831858407079647,
"eval_Qnli-dev_euclidean_f1_threshold": 25.087703704833984,
"eval_Qnli-dev_euclidean_precision": 0.5866261398176292,
"eval_Qnli-dev_euclidean_recall": 0.8177966101694916,
"eval_Qnli-dev_manhattan_accuracy": 0.6875,
"eval_Qnli-dev_manhattan_accuracy_threshold": 715.2478637695312,
"eval_Qnli-dev_manhattan_ap": 0.7243486016703601,
"eval_Qnli-dev_manhattan_f1": 0.6844919786096257,
"eval_Qnli-dev_manhattan_f1_threshold": 780.095947265625,
"eval_Qnli-dev_manhattan_precision": 0.5907692307692308,
"eval_Qnli-dev_manhattan_recall": 0.8135593220338984,
"eval_Qnli-dev_max_accuracy": 0.689453125,
"eval_Qnli-dev_max_accuracy_threshold": 715.2478637695312,
"eval_Qnli-dev_max_ap": 0.7243486016703601,
"eval_Qnli-dev_max_f1": 0.6887661141804787,
"eval_Qnli-dev_max_f1_threshold": 780.095947265625,
"eval_Qnli-dev_max_precision": 0.6091205211726385,
"eval_Qnli-dev_max_recall": 0.864406779661017,
"eval_allNLI-dev_cosine_accuracy": 0.720703125,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.8353008031845093,
"eval_allNLI-dev_cosine_ap": 0.5917629293541244,
"eval_allNLI-dev_cosine_f1": 0.6000000000000001,
"eval_allNLI-dev_cosine_f1_threshold": 0.7087839245796204,
"eval_allNLI-dev_cosine_precision": 0.5019455252918288,
"eval_allNLI-dev_cosine_recall": 0.7456647398843931,
"eval_allNLI-dev_dot_accuracy": 0.71484375,
"eval_allNLI-dev_dot_accuracy_threshold": 817.4105224609375,
"eval_allNLI-dev_dot_ap": 0.5858245181656638,
"eval_allNLI-dev_dot_f1": 0.5980392156862746,
"eval_allNLI-dev_dot_f1_threshold": 674.387939453125,
"eval_allNLI-dev_dot_precision": 0.5191489361702127,
"eval_allNLI-dev_dot_recall": 0.7052023121387283,
"eval_allNLI-dev_euclidean_accuracy": 0.716796875,
"eval_allNLI-dev_euclidean_accuracy_threshold": 17.109304428100586,
"eval_allNLI-dev_euclidean_ap": 0.5912447191211185,
"eval_allNLI-dev_euclidean_f1": 0.6013986013986015,
"eval_allNLI-dev_euclidean_f1_threshold": 23.201446533203125,
"eval_allNLI-dev_euclidean_precision": 0.50390625,
"eval_allNLI-dev_euclidean_recall": 0.7456647398843931,
"eval_allNLI-dev_manhattan_accuracy": 0.71875,
"eval_allNLI-dev_manhattan_accuracy_threshold": 552.2703857421875,
"eval_allNLI-dev_manhattan_ap": 0.5910112781514775,
"eval_allNLI-dev_manhattan_f1": 0.5981735159817351,
"eval_allNLI-dev_manhattan_f1_threshold": 731.6765747070312,
"eval_allNLI-dev_manhattan_precision": 0.49433962264150944,
"eval_allNLI-dev_manhattan_recall": 0.7572254335260116,
"eval_allNLI-dev_max_accuracy": 0.720703125,
"eval_allNLI-dev_max_accuracy_threshold": 817.4105224609375,
"eval_allNLI-dev_max_ap": 0.5917629293541244,
"eval_allNLI-dev_max_f1": 0.6013986013986015,
"eval_allNLI-dev_max_f1_threshold": 731.6765747070312,
"eval_allNLI-dev_max_precision": 0.5191489361702127,
"eval_allNLI-dev_max_recall": 0.7572254335260116,
"eval_sequential_score": 0.7243486016703601,
"eval_sts-test_pearson_cosine": 0.91107907465776,
"eval_sts-test_pearson_dot": 0.8802333333831622,
"eval_sts-test_pearson_euclidean": 0.92175721802385,
"eval_sts-test_pearson_manhattan": 0.9207411620779591,
"eval_sts-test_pearson_max": 0.92175721802385,
"eval_sts-test_spearman_cosine": 0.9170956996722621,
"eval_sts-test_spearman_dot": 0.8733774316475602,
"eval_sts-test_spearman_euclidean": 0.9165704988685727,
"eval_sts-test_spearman_manhattan": 0.9153493264477239,
"eval_sts-test_spearman_max": 0.9170956996722621,
"eval_vitaminc-pairs_loss": 3.3627231121063232,
"eval_vitaminc-pairs_runtime": 4.4746,
"eval_vitaminc-pairs_samples_per_second": 28.606,
"eval_vitaminc-pairs_steps_per_second": 0.223,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_negation-triplets_loss": 0.7009554505348206,
"eval_negation-triplets_runtime": 3.3424,
"eval_negation-triplets_samples_per_second": 38.296,
"eval_negation-triplets_steps_per_second": 0.299,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_scitail-pairs-pos_loss": 0.027083460241556168,
"eval_scitail-pairs-pos_runtime": 2.6253,
"eval_scitail-pairs-pos_samples_per_second": 48.757,
"eval_scitail-pairs-pos_steps_per_second": 0.381,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_scitail-pairs-qa_loss": 0.0013978304341435432,
"eval_scitail-pairs-qa_runtime": 2.0929,
"eval_scitail-pairs-qa_samples_per_second": 61.159,
"eval_scitail-pairs-qa_steps_per_second": 0.478,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_xsum-pairs_loss": 0.03819597512483597,
"eval_xsum-pairs_runtime": 3.0764,
"eval_xsum-pairs_samples_per_second": 41.607,
"eval_xsum-pairs_steps_per_second": 0.325,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_sciq_pairs_loss": 0.04831065982580185,
"eval_sciq_pairs_runtime": 4.6239,
"eval_sciq_pairs_samples_per_second": 27.682,
"eval_sciq_pairs_steps_per_second": 0.216,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_qasc_pairs_loss": 0.11294831335544586,
"eval_qasc_pairs_runtime": 2.1013,
"eval_qasc_pairs_samples_per_second": 60.915,
"eval_qasc_pairs_steps_per_second": 0.476,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_openbookqa_pairs_loss": 0.4045051634311676,
"eval_openbookqa_pairs_runtime": 2.2313,
"eval_openbookqa_pairs_samples_per_second": 57.367,
"eval_openbookqa_pairs_steps_per_second": 0.448,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_msmarco_pairs_loss": 0.17428961396217346,
"eval_msmarco_pairs_runtime": 2.2379,
"eval_msmarco_pairs_samples_per_second": 57.197,
"eval_msmarco_pairs_steps_per_second": 0.447,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_nq_pairs_loss": 0.18139179050922394,
"eval_nq_pairs_runtime": 3.1825,
"eval_nq_pairs_samples_per_second": 40.22,
"eval_nq_pairs_steps_per_second": 0.314,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_trivia_pairs_loss": 0.10668718814849854,
"eval_trivia_pairs_runtime": 3.2891,
"eval_trivia_pairs_samples_per_second": 38.917,
"eval_trivia_pairs_steps_per_second": 0.304,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_gooaq_pairs_loss": 0.2038198560476303,
"eval_gooaq_pairs_runtime": 2.209,
"eval_gooaq_pairs_samples_per_second": 57.945,
"eval_gooaq_pairs_steps_per_second": 0.453,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_paws-pos_loss": 0.02337946929037571,
"eval_paws-pos_runtime": 2.289,
"eval_paws-pos_samples_per_second": 55.92,
"eval_paws-pos_steps_per_second": 0.437,
"step": 314
},
{
"epoch": 0.20076726342711,
"eval_global_dataset_loss": 0.23699811100959778,
"eval_global_dataset_runtime": 8.6273,
"eval_global_dataset_samples_per_second": 37.671,
"eval_global_dataset_steps_per_second": 0.348,
"step": 314
},
{
"epoch": 0.20460358056265984,
"grad_norm": 7.919135570526123,
"learning_rate": 6.624068157614484e-06,
"loss": 0.233,
"step": 320
},
{
"epoch": 0.21483375959079284,
"grad_norm": 8.169248580932617,
"learning_rate": 6.96485623003195e-06,
"loss": 0.1946,
"step": 336
},
{
"epoch": 0.22506393861892582,
"grad_norm": 4.551661968231201,
"learning_rate": 7.305644302449415e-06,
"loss": 0.2393,
"step": 352
},
{
"epoch": 0.23529411764705882,
"grad_norm": 49.21135330200195,
"learning_rate": 7.64643237486688e-06,
"loss": 0.1476,
"step": 368
},
{
"epoch": 0.24552429667519182,
"grad_norm": 12.119938850402832,
"learning_rate": 7.987220447284347e-06,
"loss": 0.1976,
"step": 384
},
{
"epoch": 0.2557544757033248,
"grad_norm": 6.922146797180176,
"learning_rate": 8.32800851970181e-06,
"loss": 0.1139,
"step": 400
},
{
"epoch": 0.2659846547314578,
"grad_norm": 1.659225583076477,
"learning_rate": 8.668796592119276e-06,
"loss": 0.1986,
"step": 416
},
{
"epoch": 0.27621483375959077,
"grad_norm": 11.489442825317383,
"learning_rate": 9.009584664536743e-06,
"loss": 0.2405,
"step": 432
},
{
"epoch": 0.2864450127877238,
"grad_norm": 6.8070149421691895,
"learning_rate": 9.350372736954207e-06,
"loss": 0.1519,
"step": 448
},
{
"epoch": 0.2966751918158568,
"grad_norm": 8.569122314453125,
"learning_rate": 9.691160809371672e-06,
"loss": 0.1508,
"step": 464
},
{
"epoch": 0.30115089514066495,
"eval_Qnli-dev_cosine_accuracy": 0.689453125,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.7045497894287109,
"eval_Qnli-dev_cosine_ap": 0.7262372250492908,
"eval_Qnli-dev_cosine_f1": 0.693103448275862,
"eval_Qnli-dev_cosine_f1_threshold": 0.6277430057525635,
"eval_Qnli-dev_cosine_precision": 0.5843023255813954,
"eval_Qnli-dev_cosine_recall": 0.8516949152542372,
"eval_Qnli-dev_dot_accuracy": 0.671875,
"eval_Qnli-dev_dot_accuracy_threshold": 652.669677734375,
"eval_Qnli-dev_dot_ap": 0.6928244257428712,
"eval_Qnli-dev_dot_f1": 0.6923076923076922,
"eval_Qnli-dev_dot_f1_threshold": 571.573486328125,
"eval_Qnli-dev_dot_precision": 0.5892857142857143,
"eval_Qnli-dev_dot_recall": 0.8389830508474576,
"eval_Qnli-dev_euclidean_accuracy": 0.689453125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 23.253864288330078,
"eval_Qnli-dev_euclidean_ap": 0.7293266479878985,
"eval_Qnli-dev_euclidean_f1": 0.6928571428571428,
"eval_Qnli-dev_euclidean_f1_threshold": 25.396923065185547,
"eval_Qnli-dev_euclidean_precision": 0.5987654320987654,
"eval_Qnli-dev_euclidean_recall": 0.8220338983050848,
"eval_Qnli-dev_manhattan_accuracy": 0.6875,
"eval_Qnli-dev_manhattan_accuracy_threshold": 704.4737548828125,
"eval_Qnli-dev_manhattan_ap": 0.7283792835739776,
"eval_Qnli-dev_manhattan_f1": 0.6925675675675677,
"eval_Qnli-dev_manhattan_f1_threshold": 820.7425537109375,
"eval_Qnli-dev_manhattan_precision": 0.5758426966292135,
"eval_Qnli-dev_manhattan_recall": 0.8686440677966102,
"eval_Qnli-dev_max_accuracy": 0.689453125,
"eval_Qnli-dev_max_accuracy_threshold": 704.4737548828125,
"eval_Qnli-dev_max_ap": 0.7293266479878985,
"eval_Qnli-dev_max_f1": 0.693103448275862,
"eval_Qnli-dev_max_f1_threshold": 820.7425537109375,
"eval_Qnli-dev_max_precision": 0.5987654320987654,
"eval_Qnli-dev_max_recall": 0.8686440677966102,
"eval_allNLI-dev_cosine_accuracy": 0.716796875,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.805169939994812,
"eval_allNLI-dev_cosine_ap": 0.5991158471614924,
"eval_allNLI-dev_cosine_f1": 0.6095617529880478,
"eval_allNLI-dev_cosine_f1_threshold": 0.6292704343795776,
"eval_allNLI-dev_cosine_precision": 0.46504559270516715,
"eval_allNLI-dev_cosine_recall": 0.884393063583815,
"eval_allNLI-dev_dot_accuracy": 0.7265625,
"eval_allNLI-dev_dot_accuracy_threshold": 685.67724609375,
"eval_allNLI-dev_dot_ap": 0.6022852154957883,
"eval_allNLI-dev_dot_f1": 0.603112840466926,
"eval_allNLI-dev_dot_f1_threshold": 566.2506103515625,
"eval_allNLI-dev_dot_precision": 0.45454545454545453,
"eval_allNLI-dev_dot_recall": 0.8959537572254336,
"eval_allNLI-dev_euclidean_accuracy": 0.71484375,
"eval_allNLI-dev_euclidean_accuracy_threshold": 20.33218765258789,
"eval_allNLI-dev_euclidean_ap": 0.5957908065503393,
"eval_allNLI-dev_euclidean_f1": 0.6140724946695097,
"eval_allNLI-dev_euclidean_f1_threshold": 25.308191299438477,
"eval_allNLI-dev_euclidean_precision": 0.4864864864864865,
"eval_allNLI-dev_euclidean_recall": 0.8323699421965318,
"eval_allNLI-dev_manhattan_accuracy": 0.716796875,
"eval_allNLI-dev_manhattan_accuracy_threshold": 638.1854248046875,
"eval_allNLI-dev_manhattan_ap": 0.5968486499581244,
"eval_allNLI-dev_manhattan_f1": 0.616052060737527,
"eval_allNLI-dev_manhattan_f1_threshold": 783.5068359375,
"eval_allNLI-dev_manhattan_precision": 0.4930555555555556,
"eval_allNLI-dev_manhattan_recall": 0.8208092485549133,
"eval_allNLI-dev_max_accuracy": 0.7265625,
"eval_allNLI-dev_max_accuracy_threshold": 685.67724609375,
"eval_allNLI-dev_max_ap": 0.6022852154957883,
"eval_allNLI-dev_max_f1": 0.616052060737527,
"eval_allNLI-dev_max_f1_threshold": 783.5068359375,
"eval_allNLI-dev_max_precision": 0.4930555555555556,
"eval_allNLI-dev_max_recall": 0.8959537572254336,
"eval_sequential_score": 0.7293266479878985,
"eval_sts-test_pearson_cosine": 0.9163990296196276,
"eval_sts-test_pearson_dot": 0.9067925652682547,
"eval_sts-test_pearson_euclidean": 0.9258813754113262,
"eval_sts-test_pearson_manhattan": 0.9250575950562571,
"eval_sts-test_pearson_max": 0.9258813754113262,
"eval_sts-test_spearman_cosine": 0.9200439127727275,
"eval_sts-test_spearman_dot": 0.9030931642366772,
"eval_sts-test_spearman_euclidean": 0.920441080217576,
"eval_sts-test_spearman_manhattan": 0.9196469690841858,
"eval_sts-test_spearman_max": 0.920441080217576,
"eval_vitaminc-pairs_loss": 2.4166860580444336,
"eval_vitaminc-pairs_runtime": 4.558,
"eval_vitaminc-pairs_samples_per_second": 28.082,
"eval_vitaminc-pairs_steps_per_second": 0.219,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_negation-triplets_loss": 0.6827869415283203,
"eval_negation-triplets_runtime": 3.2935,
"eval_negation-triplets_samples_per_second": 38.864,
"eval_negation-triplets_steps_per_second": 0.304,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_scitail-pairs-pos_loss": 0.0062057748436927795,
"eval_scitail-pairs-pos_runtime": 2.638,
"eval_scitail-pairs-pos_samples_per_second": 48.521,
"eval_scitail-pairs-pos_steps_per_second": 0.379,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_scitail-pairs-qa_loss": 0.0004358906007837504,
"eval_scitail-pairs-qa_runtime": 2.0989,
"eval_scitail-pairs-qa_samples_per_second": 60.985,
"eval_scitail-pairs-qa_steps_per_second": 0.476,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_xsum-pairs_loss": 0.03286559134721756,
"eval_xsum-pairs_runtime": 3.0772,
"eval_xsum-pairs_samples_per_second": 41.596,
"eval_xsum-pairs_steps_per_second": 0.325,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_sciq_pairs_loss": 0.04141838476061821,
"eval_sciq_pairs_runtime": 4.69,
"eval_sciq_pairs_samples_per_second": 27.292,
"eval_sciq_pairs_steps_per_second": 0.213,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_qasc_pairs_loss": 0.03906266763806343,
"eval_qasc_pairs_runtime": 2.104,
"eval_qasc_pairs_samples_per_second": 60.836,
"eval_qasc_pairs_steps_per_second": 0.475,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_openbookqa_pairs_loss": 0.38474294543266296,
"eval_openbookqa_pairs_runtime": 2.2386,
"eval_openbookqa_pairs_samples_per_second": 57.18,
"eval_openbookqa_pairs_steps_per_second": 0.447,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_msmarco_pairs_loss": 0.08647920191287994,
"eval_msmarco_pairs_runtime": 2.2858,
"eval_msmarco_pairs_samples_per_second": 55.999,
"eval_msmarco_pairs_steps_per_second": 0.437,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_nq_pairs_loss": 0.10326902568340302,
"eval_nq_pairs_runtime": 3.1905,
"eval_nq_pairs_samples_per_second": 40.12,
"eval_nq_pairs_steps_per_second": 0.313,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_trivia_pairs_loss": 0.09608602523803711,
"eval_trivia_pairs_runtime": 3.256,
"eval_trivia_pairs_samples_per_second": 39.312,
"eval_trivia_pairs_steps_per_second": 0.307,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_gooaq_pairs_loss": 0.12804344296455383,
"eval_gooaq_pairs_runtime": 2.1753,
"eval_gooaq_pairs_samples_per_second": 58.841,
"eval_gooaq_pairs_steps_per_second": 0.46,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_paws-pos_loss": 0.025196708738803864,
"eval_paws-pos_runtime": 2.3068,
"eval_paws-pos_samples_per_second": 55.488,
"eval_paws-pos_steps_per_second": 0.434,
"step": 471
},
{
"epoch": 0.30115089514066495,
"eval_global_dataset_loss": 0.17351965606212616,
"eval_global_dataset_runtime": 8.6124,
"eval_global_dataset_samples_per_second": 37.736,
"eval_global_dataset_steps_per_second": 0.348,
"step": 471
},
{
"epoch": 0.3069053708439898,
"grad_norm": 0.09573666751384735,
"learning_rate": 1.0031948881789138e-05,
"loss": 0.1457,
"step": 480
},
{
"epoch": 0.3171355498721228,
"grad_norm": 2.005824565887451,
"learning_rate": 1.0372736954206603e-05,
"loss": 0.1086,
"step": 496
},
{
"epoch": 0.3273657289002558,
"grad_norm": 10.186065673828125,
"learning_rate": 1.071352502662407e-05,
"loss": 0.1412,
"step": 512
},
{
"epoch": 0.3375959079283887,
"grad_norm": 29.2017822265625,
"learning_rate": 1.1054313099041534e-05,
"loss": 0.1538,
"step": 528
},
{
"epoch": 0.34782608695652173,
"grad_norm": 7.944432735443115,
"learning_rate": 1.1395101171459e-05,
"loss": 0.1013,
"step": 544
},
{
"epoch": 0.35805626598465473,
"grad_norm": 5.722199440002441,
"learning_rate": 1.1735889243876466e-05,
"loss": 0.1007,
"step": 560
},
{
"epoch": 0.36828644501278773,
"grad_norm": 10.10983943939209,
"learning_rate": 1.207667731629393e-05,
"loss": 0.0853,
"step": 576
},
{
"epoch": 0.37851662404092073,
"grad_norm": 0.017955342307686806,
"learning_rate": 1.2417465388711395e-05,
"loss": 0.0696,
"step": 592
},
{
"epoch": 0.3887468030690537,
"grad_norm": 87.81786346435547,
"learning_rate": 1.2758253461128862e-05,
"loss": 0.1468,
"step": 608
},
{
"epoch": 0.3989769820971867,
"grad_norm": 4.879648208618164,
"learning_rate": 1.3099041533546326e-05,
"loss": 0.1314,
"step": 624
},
{
"epoch": 0.40153452685422,
"eval_Qnli-dev_cosine_accuracy": 0.69140625,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.723533034324646,
"eval_Qnli-dev_cosine_ap": 0.7379282328356602,
"eval_Qnli-dev_cosine_f1": 0.68824531516184,
"eval_Qnli-dev_cosine_f1_threshold": 0.6101292967796326,
"eval_Qnli-dev_cosine_precision": 0.5754985754985755,
"eval_Qnli-dev_cosine_recall": 0.8559322033898306,
"eval_Qnli-dev_dot_accuracy": 0.67578125,
"eval_Qnli-dev_dot_accuracy_threshold": 669.32177734375,
"eval_Qnli-dev_dot_ap": 0.7085572115324772,
"eval_Qnli-dev_dot_f1": 0.6891651865008882,
"eval_Qnli-dev_dot_f1_threshold": 557.8812255859375,
"eval_Qnli-dev_dot_precision": 0.5932721712538226,
"eval_Qnli-dev_dot_recall": 0.8220338983050848,
"eval_Qnli-dev_euclidean_accuracy": 0.69921875,
"eval_Qnli-dev_euclidean_accuracy_threshold": 24.064918518066406,
"eval_Qnli-dev_euclidean_ap": 0.7427699086648181,
"eval_Qnli-dev_euclidean_f1": 0.6867469879518073,
"eval_Qnli-dev_euclidean_f1_threshold": 24.312030792236328,
"eval_Qnli-dev_euclidean_precision": 0.6526717557251909,
"eval_Qnli-dev_euclidean_recall": 0.7245762711864406,
"eval_Qnli-dev_manhattan_accuracy": 0.697265625,
"eval_Qnli-dev_manhattan_accuracy_threshold": 756.5322875976562,
"eval_Qnli-dev_manhattan_ap": 0.7423808621909044,
"eval_Qnli-dev_manhattan_f1": 0.6892655367231638,
"eval_Qnli-dev_manhattan_f1_threshold": 785.015380859375,
"eval_Qnli-dev_manhattan_precision": 0.6203389830508474,
"eval_Qnli-dev_manhattan_recall": 0.7754237288135594,
"eval_Qnli-dev_max_accuracy": 0.69921875,
"eval_Qnli-dev_max_accuracy_threshold": 756.5322875976562,
"eval_Qnli-dev_max_ap": 0.7427699086648181,
"eval_Qnli-dev_max_f1": 0.6892655367231638,
"eval_Qnli-dev_max_f1_threshold": 785.015380859375,
"eval_Qnli-dev_max_precision": 0.6526717557251909,
"eval_Qnli-dev_max_recall": 0.8559322033898306,
"eval_allNLI-dev_cosine_accuracy": 0.716796875,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.822735607624054,
"eval_allNLI-dev_cosine_ap": 0.6013654435047096,
"eval_allNLI-dev_cosine_f1": 0.6241758241758242,
"eval_allNLI-dev_cosine_f1_threshold": 0.6583813428878784,
"eval_allNLI-dev_cosine_precision": 0.5035460992907801,
"eval_allNLI-dev_cosine_recall": 0.8208092485549133,
"eval_allNLI-dev_dot_accuracy": 0.71484375,
"eval_allNLI-dev_dot_accuracy_threshold": 780.966796875,
"eval_allNLI-dev_dot_ap": 0.6035715304630727,
"eval_allNLI-dev_dot_f1": 0.6181015452538632,
"eval_allNLI-dev_dot_f1_threshold": 605.0504150390625,
"eval_allNLI-dev_dot_precision": 0.5,
"eval_allNLI-dev_dot_recall": 0.8092485549132948,
"eval_allNLI-dev_euclidean_accuracy": 0.71875,
"eval_allNLI-dev_euclidean_accuracy_threshold": 19.111133575439453,
"eval_allNLI-dev_euclidean_ap": 0.5987461911075059,
"eval_allNLI-dev_euclidean_f1": 0.6140724946695097,
"eval_allNLI-dev_euclidean_f1_threshold": 25.491098403930664,
"eval_allNLI-dev_euclidean_precision": 0.4864864864864865,
"eval_allNLI-dev_euclidean_recall": 0.8323699421965318,
"eval_allNLI-dev_manhattan_accuracy": 0.71875,
"eval_allNLI-dev_manhattan_accuracy_threshold": 601.7767333984375,
"eval_allNLI-dev_manhattan_ap": 0.5998202267289205,
"eval_allNLI-dev_manhattan_f1": 0.6160919540229884,
"eval_allNLI-dev_manhattan_f1_threshold": 765.3077392578125,
"eval_allNLI-dev_manhattan_precision": 0.5114503816793893,
"eval_allNLI-dev_manhattan_recall": 0.7745664739884393,
"eval_allNLI-dev_max_accuracy": 0.71875,
"eval_allNLI-dev_max_accuracy_threshold": 780.966796875,
"eval_allNLI-dev_max_ap": 0.6035715304630727,
"eval_allNLI-dev_max_f1": 0.6241758241758242,
"eval_allNLI-dev_max_f1_threshold": 765.3077392578125,
"eval_allNLI-dev_max_precision": 0.5114503816793893,
"eval_allNLI-dev_max_recall": 0.8323699421965318,
"eval_sequential_score": 0.7427699086648181,
"eval_sts-test_pearson_cosine": 0.9073197584934252,
"eval_sts-test_pearson_dot": 0.8968254992482173,
"eval_sts-test_pearson_euclidean": 0.9181231094029128,
"eval_sts-test_pearson_manhattan": 0.9171411172664841,
"eval_sts-test_pearson_max": 0.9181231094029128,
"eval_sts-test_spearman_cosine": 0.9153029193896612,
"eval_sts-test_spearman_dot": 0.897675084268759,
"eval_sts-test_spearman_euclidean": 0.9150786708188288,
"eval_sts-test_spearman_manhattan": 0.9142644663690737,
"eval_sts-test_spearman_max": 0.9153029193896612,
"eval_vitaminc-pairs_loss": 3.235485076904297,
"eval_vitaminc-pairs_runtime": 4.4491,
"eval_vitaminc-pairs_samples_per_second": 28.77,
"eval_vitaminc-pairs_steps_per_second": 0.225,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_negation-triplets_loss": 0.6763876080513,
"eval_negation-triplets_runtime": 3.2743,
"eval_negation-triplets_samples_per_second": 39.092,
"eval_negation-triplets_steps_per_second": 0.305,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_scitail-pairs-pos_loss": 0.009911377914249897,
"eval_scitail-pairs-pos_runtime": 2.585,
"eval_scitail-pairs-pos_samples_per_second": 49.516,
"eval_scitail-pairs-pos_steps_per_second": 0.387,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_scitail-pairs-qa_loss": 0.0001384670613333583,
"eval_scitail-pairs-qa_runtime": 2.0603,
"eval_scitail-pairs-qa_samples_per_second": 62.128,
"eval_scitail-pairs-qa_steps_per_second": 0.485,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_xsum-pairs_loss": 0.017213236540555954,
"eval_xsum-pairs_runtime": 3.042,
"eval_xsum-pairs_samples_per_second": 42.078,
"eval_xsum-pairs_steps_per_second": 0.329,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_sciq_pairs_loss": 0.029452303424477577,
"eval_sciq_pairs_runtime": 4.5793,
"eval_sciq_pairs_samples_per_second": 27.952,
"eval_sciq_pairs_steps_per_second": 0.218,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_qasc_pairs_loss": 0.0720791220664978,
"eval_qasc_pairs_runtime": 2.0524,
"eval_qasc_pairs_samples_per_second": 62.366,
"eval_qasc_pairs_steps_per_second": 0.487,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_openbookqa_pairs_loss": 0.3721720278263092,
"eval_openbookqa_pairs_runtime": 2.1848,
"eval_openbookqa_pairs_samples_per_second": 58.586,
"eval_openbookqa_pairs_steps_per_second": 0.458,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_msmarco_pairs_loss": 0.09755530953407288,
"eval_msmarco_pairs_runtime": 2.2104,
"eval_msmarco_pairs_samples_per_second": 57.907,
"eval_msmarco_pairs_steps_per_second": 0.452,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_nq_pairs_loss": 0.08931688219308853,
"eval_nq_pairs_runtime": 3.1702,
"eval_nq_pairs_samples_per_second": 40.376,
"eval_nq_pairs_steps_per_second": 0.315,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_trivia_pairs_loss": 0.0646594688296318,
"eval_trivia_pairs_runtime": 3.2357,
"eval_trivia_pairs_samples_per_second": 39.558,
"eval_trivia_pairs_steps_per_second": 0.309,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_gooaq_pairs_loss": 0.1432056725025177,
"eval_gooaq_pairs_runtime": 2.1108,
"eval_gooaq_pairs_samples_per_second": 60.641,
"eval_gooaq_pairs_steps_per_second": 0.474,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_paws-pos_loss": 0.02637900970876217,
"eval_paws-pos_runtime": 2.1958,
"eval_paws-pos_samples_per_second": 58.294,
"eval_paws-pos_steps_per_second": 0.455,
"step": 628
},
{
"epoch": 0.40153452685422,
"eval_global_dataset_loss": 0.2361193746328354,
"eval_global_dataset_runtime": 8.5048,
"eval_global_dataset_samples_per_second": 38.214,
"eval_global_dataset_steps_per_second": 0.353,
"step": 628
},
{
"epoch": 0.4092071611253197,
"grad_norm": 10.842616081237793,
"learning_rate": 1.3439829605963792e-05,
"loss": 0.149,
"step": 640
},
{
"epoch": 0.4194373401534527,
"grad_norm": 10.382250785827637,
"learning_rate": 1.3780617678381259e-05,
"loss": 0.1402,
"step": 656
},
{
"epoch": 0.4296675191815857,
"grad_norm": 11.57950496673584,
"learning_rate": 1.4121405750798722e-05,
"loss": 0.1056,
"step": 672
},
{
"epoch": 0.4398976982097187,
"grad_norm": 5.777312278747559,
"learning_rate": 1.4462193823216188e-05,
"loss": 0.0932,
"step": 688
},
{
"epoch": 0.45012787723785164,
"grad_norm": 0.2746630311012268,
"learning_rate": 1.4802981895633655e-05,
"loss": 0.0534,
"step": 704
},
{
"epoch": 0.46035805626598464,
"grad_norm": 0.021142609417438507,
"learning_rate": 1.5143769968051119e-05,
"loss": 0.2175,
"step": 720
},
{
"epoch": 0.47058823529411764,
"grad_norm": 0.00019583643006626517,
"learning_rate": 1.5484558040468584e-05,
"loss": 0.1107,
"step": 736
},
{
"epoch": 0.48081841432225064,
"grad_norm": 18.342988967895508,
"learning_rate": 1.582534611288605e-05,
"loss": 0.2301,
"step": 752
},
{
"epoch": 0.49104859335038364,
"grad_norm": 4.310429096221924,
"learning_rate": 1.6166134185303515e-05,
"loss": 0.2317,
"step": 768
},
{
"epoch": 0.5012787723785166,
"grad_norm": 4.9908766746521,
"learning_rate": 1.6506922257720982e-05,
"loss": 0.1084,
"step": 784
},
{
"epoch": 0.5019181585677749,
"eval_Qnli-dev_cosine_accuracy": 0.69921875,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.692398190498352,
"eval_Qnli-dev_cosine_ap": 0.7373451033369327,
"eval_Qnli-dev_cosine_f1": 0.7100175746924429,
"eval_Qnli-dev_cosine_f1_threshold": 0.6075993776321411,
"eval_Qnli-dev_cosine_precision": 0.6066066066066066,
"eval_Qnli-dev_cosine_recall": 0.8559322033898306,
"eval_Qnli-dev_dot_accuracy": 0.68359375,
"eval_Qnli-dev_dot_accuracy_threshold": 593.7620849609375,
"eval_Qnli-dev_dot_ap": 0.7049377659461418,
"eval_Qnli-dev_dot_f1": 0.7008849557522123,
"eval_Qnli-dev_dot_f1_threshold": 556.5305786132812,
"eval_Qnli-dev_dot_precision": 0.601823708206687,
"eval_Qnli-dev_dot_recall": 0.8389830508474576,
"eval_Qnli-dev_euclidean_accuracy": 0.705078125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 24.380191802978516,
"eval_Qnli-dev_euclidean_ap": 0.7421878778893789,
"eval_Qnli-dev_euclidean_f1": 0.7024952015355086,
"eval_Qnli-dev_euclidean_f1_threshold": 25.691165924072266,
"eval_Qnli-dev_euclidean_precision": 0.6421052631578947,
"eval_Qnli-dev_euclidean_recall": 0.7754237288135594,
"eval_Qnli-dev_manhattan_accuracy": 0.705078125,
"eval_Qnli-dev_manhattan_accuracy_threshold": 755.8370361328125,
"eval_Qnli-dev_manhattan_ap": 0.7420425528192431,
"eval_Qnli-dev_manhattan_f1": 0.7012987012987013,
"eval_Qnli-dev_manhattan_f1_threshold": 872.5838623046875,
"eval_Qnli-dev_manhattan_precision": 0.5684210526315789,
"eval_Qnli-dev_manhattan_recall": 0.9152542372881356,
"eval_Qnli-dev_max_accuracy": 0.705078125,
"eval_Qnli-dev_max_accuracy_threshold": 755.8370361328125,
"eval_Qnli-dev_max_ap": 0.7421878778893789,
"eval_Qnli-dev_max_f1": 0.7100175746924429,
"eval_Qnli-dev_max_f1_threshold": 872.5838623046875,
"eval_Qnli-dev_max_precision": 0.6421052631578947,
"eval_Qnli-dev_max_recall": 0.9152542372881356,
"eval_allNLI-dev_cosine_accuracy": 0.72265625,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.8044645190238953,
"eval_allNLI-dev_cosine_ap": 0.6029077511537212,
"eval_allNLI-dev_cosine_f1": 0.6193548387096773,
"eval_allNLI-dev_cosine_f1_threshold": 0.6631404161453247,
"eval_allNLI-dev_cosine_precision": 0.4931506849315068,
"eval_allNLI-dev_cosine_recall": 0.8323699421965318,
"eval_allNLI-dev_dot_accuracy": 0.716796875,
"eval_allNLI-dev_dot_accuracy_threshold": 788.6072998046875,
"eval_allNLI-dev_dot_ap": 0.5937600770830995,
"eval_allNLI-dev_dot_f1": 0.6299559471365639,
"eval_allNLI-dev_dot_f1_threshold": 632.650634765625,
"eval_allNLI-dev_dot_precision": 0.5088967971530249,
"eval_allNLI-dev_dot_recall": 0.8265895953757225,
"eval_allNLI-dev_euclidean_accuracy": 0.71875,
"eval_allNLI-dev_euclidean_accuracy_threshold": 19.220054626464844,
"eval_allNLI-dev_euclidean_ap": 0.6000308340748244,
"eval_allNLI-dev_euclidean_f1": 0.6140350877192983,
"eval_allNLI-dev_euclidean_f1_threshold": 24.999332427978516,
"eval_allNLI-dev_euclidean_precision": 0.49469964664310956,
"eval_allNLI-dev_euclidean_recall": 0.8092485549132948,
"eval_allNLI-dev_manhattan_accuracy": 0.724609375,
"eval_allNLI-dev_manhattan_accuracy_threshold": 601.0503540039062,
"eval_allNLI-dev_manhattan_ap": 0.5994463454270988,
"eval_allNLI-dev_manhattan_f1": 0.6137339055793991,
"eval_allNLI-dev_manhattan_f1_threshold": 785.221435546875,
"eval_allNLI-dev_manhattan_precision": 0.4880546075085324,
"eval_allNLI-dev_manhattan_recall": 0.8265895953757225,
"eval_allNLI-dev_max_accuracy": 0.724609375,
"eval_allNLI-dev_max_accuracy_threshold": 788.6072998046875,
"eval_allNLI-dev_max_ap": 0.6029077511537212,
"eval_allNLI-dev_max_f1": 0.6299559471365639,
"eval_allNLI-dev_max_f1_threshold": 785.221435546875,
"eval_allNLI-dev_max_precision": 0.5088967971530249,
"eval_allNLI-dev_max_recall": 0.8323699421965318,
"eval_sequential_score": 0.7421878778893789,
"eval_sts-test_pearson_cosine": 0.9043291123731831,
"eval_sts-test_pearson_dot": 0.8879215841003365,
"eval_sts-test_pearson_euclidean": 0.9229060512014216,
"eval_sts-test_pearson_manhattan": 0.9223094827934384,
"eval_sts-test_pearson_max": 0.9229060512014216,
"eval_sts-test_spearman_cosine": 0.9171074245027466,
"eval_sts-test_spearman_dot": 0.8910804041363384,
"eval_sts-test_spearman_euclidean": 0.9186099481039627,
"eval_sts-test_spearman_manhattan": 0.9180492147987285,
"eval_sts-test_spearman_max": 0.9186099481039627,
"eval_vitaminc-pairs_loss": 3.900864362716675,
"eval_vitaminc-pairs_runtime": 4.4894,
"eval_vitaminc-pairs_samples_per_second": 28.512,
"eval_vitaminc-pairs_steps_per_second": 0.223,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_negation-triplets_loss": 0.633728563785553,
"eval_negation-triplets_runtime": 3.4005,
"eval_negation-triplets_samples_per_second": 37.641,
"eval_negation-triplets_steps_per_second": 0.294,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_scitail-pairs-pos_loss": 0.012064059264957905,
"eval_scitail-pairs-pos_runtime": 2.6615,
"eval_scitail-pairs-pos_samples_per_second": 48.092,
"eval_scitail-pairs-pos_steps_per_second": 0.376,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_scitail-pairs-qa_loss": 7.389660459011793e-05,
"eval_scitail-pairs-qa_runtime": 2.0934,
"eval_scitail-pairs-qa_samples_per_second": 61.146,
"eval_scitail-pairs-qa_steps_per_second": 0.478,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_xsum-pairs_loss": 0.009806518442928791,
"eval_xsum-pairs_runtime": 3.0655,
"eval_xsum-pairs_samples_per_second": 41.755,
"eval_xsum-pairs_steps_per_second": 0.326,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_sciq_pairs_loss": 0.03242116793990135,
"eval_sciq_pairs_runtime": 4.6405,
"eval_sciq_pairs_samples_per_second": 27.583,
"eval_sciq_pairs_steps_per_second": 0.215,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_qasc_pairs_loss": 0.07289526611566544,
"eval_qasc_pairs_runtime": 2.0997,
"eval_qasc_pairs_samples_per_second": 60.962,
"eval_qasc_pairs_steps_per_second": 0.476,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_openbookqa_pairs_loss": 0.41281530261039734,
"eval_openbookqa_pairs_runtime": 2.2362,
"eval_openbookqa_pairs_samples_per_second": 57.24,
"eval_openbookqa_pairs_steps_per_second": 0.447,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_msmarco_pairs_loss": 0.11559046804904938,
"eval_msmarco_pairs_runtime": 2.2303,
"eval_msmarco_pairs_samples_per_second": 57.393,
"eval_msmarco_pairs_steps_per_second": 0.448,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_nq_pairs_loss": 0.10707583278417587,
"eval_nq_pairs_runtime": 3.2248,
"eval_nq_pairs_samples_per_second": 39.693,
"eval_nq_pairs_steps_per_second": 0.31,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_trivia_pairs_loss": 0.09321507811546326,
"eval_trivia_pairs_runtime": 3.2802,
"eval_trivia_pairs_samples_per_second": 39.022,
"eval_trivia_pairs_steps_per_second": 0.305,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_gooaq_pairs_loss": 0.1236836165189743,
"eval_gooaq_pairs_runtime": 2.166,
"eval_gooaq_pairs_samples_per_second": 59.094,
"eval_gooaq_pairs_steps_per_second": 0.462,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_paws-pos_loss": 0.025379396975040436,
"eval_paws-pos_runtime": 2.2622,
"eval_paws-pos_samples_per_second": 56.581,
"eval_paws-pos_steps_per_second": 0.442,
"step": 785
},
{
"epoch": 0.5019181585677749,
"eval_global_dataset_loss": 0.2525935471057892,
"eval_global_dataset_runtime": 8.5173,
"eval_global_dataset_samples_per_second": 38.158,
"eval_global_dataset_steps_per_second": 0.352,
"step": 785
},
{
"epoch": 0.5115089514066496,
"grad_norm": 2.781236171722412,
"learning_rate": 1.6847710330138445e-05,
"loss": 0.0799,
"step": 800
},
{
"epoch": 0.5217391304347826,
"grad_norm": 4.296014785766602,
"learning_rate": 1.7188498402555913e-05,
"loss": 0.1466,
"step": 816
},
{
"epoch": 0.5319693094629157,
"grad_norm": 0.6779389977455139,
"learning_rate": 1.7529286474973376e-05,
"loss": 0.1208,
"step": 832
},
{
"epoch": 0.5421994884910486,
"grad_norm": 5.031887054443359,
"learning_rate": 1.7870074547390843e-05,
"loss": 0.1021,
"step": 848
},
{
"epoch": 0.5524296675191815,
"grad_norm": 3.492619276046753,
"learning_rate": 1.8210862619808307e-05,
"loss": 0.1391,
"step": 864
},
{
"epoch": 0.5626598465473146,
"grad_norm": 3.4289321899414062,
"learning_rate": 1.8551650692225774e-05,
"loss": 0.185,
"step": 880
},
{
"epoch": 0.5728900255754475,
"grad_norm": 0.48259153962135315,
"learning_rate": 1.8892438764643238e-05,
"loss": 0.1108,
"step": 896
},
{
"epoch": 0.5831202046035806,
"grad_norm": 1.390660047531128,
"learning_rate": 1.9233226837060705e-05,
"loss": 0.0926,
"step": 912
},
{
"epoch": 0.5933503836317136,
"grad_norm": 11.370463371276855,
"learning_rate": 1.957401490947817e-05,
"loss": 0.157,
"step": 928
},
{
"epoch": 0.6023017902813299,
"eval_Qnli-dev_cosine_accuracy": 0.6796875,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.7110848426818848,
"eval_Qnli-dev_cosine_ap": 0.7098259706381642,
"eval_Qnli-dev_cosine_f1": 0.6848,
"eval_Qnli-dev_cosine_f1_threshold": 0.5396614074707031,
"eval_Qnli-dev_cosine_precision": 0.5501285347043702,
"eval_Qnli-dev_cosine_recall": 0.9067796610169492,
"eval_Qnli-dev_dot_accuracy": 0.66015625,
"eval_Qnli-dev_dot_accuracy_threshold": 612.0003662109375,
"eval_Qnli-dev_dot_ap": 0.6677871203032961,
"eval_Qnli-dev_dot_f1": 0.6847133757961782,
"eval_Qnli-dev_dot_f1_threshold": 489.4056091308594,
"eval_Qnli-dev_dot_precision": 0.548469387755102,
"eval_Qnli-dev_dot_recall": 0.9110169491525424,
"eval_Qnli-dev_euclidean_accuracy": 0.689453125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 22.8848876953125,
"eval_Qnli-dev_euclidean_ap": 0.7192898440461163,
"eval_Qnli-dev_euclidean_f1": 0.6879194630872484,
"eval_Qnli-dev_euclidean_f1_threshold": 28.238075256347656,
"eval_Qnli-dev_euclidean_precision": 0.5694444444444444,
"eval_Qnli-dev_euclidean_recall": 0.8686440677966102,
"eval_Qnli-dev_manhattan_accuracy": 0.681640625,
"eval_Qnli-dev_manhattan_accuracy_threshold": 722.6270751953125,
"eval_Qnli-dev_manhattan_ap": 0.7187658029633445,
"eval_Qnli-dev_manhattan_f1": 0.6911519198664441,
"eval_Qnli-dev_manhattan_f1_threshold": 881.6773681640625,
"eval_Qnli-dev_manhattan_precision": 0.5702479338842975,
"eval_Qnli-dev_manhattan_recall": 0.8771186440677966,
"eval_Qnli-dev_max_accuracy": 0.689453125,
"eval_Qnli-dev_max_accuracy_threshold": 722.6270751953125,
"eval_Qnli-dev_max_ap": 0.7192898440461163,
"eval_Qnli-dev_max_f1": 0.6911519198664441,
"eval_Qnli-dev_max_f1_threshold": 881.6773681640625,
"eval_Qnli-dev_max_precision": 0.5702479338842975,
"eval_Qnli-dev_max_recall": 0.9110169491525424,
"eval_allNLI-dev_cosine_accuracy": 0.720703125,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.8192055225372314,
"eval_allNLI-dev_cosine_ap": 0.6064453769503819,
"eval_allNLI-dev_cosine_f1": 0.6255924170616114,
"eval_allNLI-dev_cosine_f1_threshold": 0.6535474061965942,
"eval_allNLI-dev_cosine_precision": 0.5301204819277109,
"eval_allNLI-dev_cosine_recall": 0.7630057803468208,
"eval_allNLI-dev_dot_accuracy": 0.71875,
"eval_allNLI-dev_dot_accuracy_threshold": 818.2044067382812,
"eval_allNLI-dev_dot_ap": 0.6065404649281851,
"eval_allNLI-dev_dot_f1": 0.6232558139534884,
"eval_allNLI-dev_dot_f1_threshold": 617.462158203125,
"eval_allNLI-dev_dot_precision": 0.5214007782101168,
"eval_allNLI-dev_dot_recall": 0.7745664739884393,
"eval_allNLI-dev_euclidean_accuracy": 0.71484375,
"eval_allNLI-dev_euclidean_accuracy_threshold": 18.268875122070312,
"eval_allNLI-dev_euclidean_ap": 0.6020313861913525,
"eval_allNLI-dev_euclidean_f1": 0.6205128205128205,
"eval_allNLI-dev_euclidean_f1_threshold": 24.51853370666504,
"eval_allNLI-dev_euclidean_precision": 0.5576036866359447,
"eval_allNLI-dev_euclidean_recall": 0.6994219653179191,
"eval_allNLI-dev_manhattan_accuracy": 0.720703125,
"eval_allNLI-dev_manhattan_accuracy_threshold": 748.0535888671875,
"eval_allNLI-dev_manhattan_ap": 0.6018544507527778,
"eval_allNLI-dev_manhattan_f1": 0.62,
"eval_allNLI-dev_manhattan_f1_threshold": 774.2725219726562,
"eval_allNLI-dev_manhattan_precision": 0.5462555066079295,
"eval_allNLI-dev_manhattan_recall": 0.7167630057803468,
"eval_allNLI-dev_max_accuracy": 0.720703125,
"eval_allNLI-dev_max_accuracy_threshold": 818.2044067382812,
"eval_allNLI-dev_max_ap": 0.6065404649281851,
"eval_allNLI-dev_max_f1": 0.6255924170616114,
"eval_allNLI-dev_max_f1_threshold": 774.2725219726562,
"eval_allNLI-dev_max_precision": 0.5576036866359447,
"eval_allNLI-dev_max_recall": 0.7745664739884393,
"eval_sequential_score": 0.7192898440461163,
"eval_sts-test_pearson_cosine": 0.917151106536728,
"eval_sts-test_pearson_dot": 0.9064091595160165,
"eval_sts-test_pearson_euclidean": 0.9276686994987783,
"eval_sts-test_pearson_manhattan": 0.9272998345544423,
"eval_sts-test_pearson_max": 0.9276686994987783,
"eval_sts-test_spearman_cosine": 0.9217884511955483,
"eval_sts-test_spearman_dot": 0.9049310090394994,
"eval_sts-test_spearman_euclidean": 0.9226553278799612,
"eval_sts-test_spearman_manhattan": 0.9221132558507271,
"eval_sts-test_spearman_max": 0.9226553278799612,
"eval_vitaminc-pairs_loss": 2.814775228500366,
"eval_vitaminc-pairs_runtime": 4.4847,
"eval_vitaminc-pairs_samples_per_second": 28.542,
"eval_vitaminc-pairs_steps_per_second": 0.223,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_negation-triplets_loss": 0.5488928556442261,
"eval_negation-triplets_runtime": 3.2998,
"eval_negation-triplets_samples_per_second": 38.79,
"eval_negation-triplets_steps_per_second": 0.303,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_scitail-pairs-pos_loss": 0.0049793594516813755,
"eval_scitail-pairs-pos_runtime": 2.6898,
"eval_scitail-pairs-pos_samples_per_second": 47.588,
"eval_scitail-pairs-pos_steps_per_second": 0.372,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_scitail-pairs-qa_loss": 0.0024724495597183704,
"eval_scitail-pairs-qa_runtime": 2.0719,
"eval_scitail-pairs-qa_samples_per_second": 61.778,
"eval_scitail-pairs-qa_steps_per_second": 0.483,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_xsum-pairs_loss": 0.01770014315843582,
"eval_xsum-pairs_runtime": 3.0541,
"eval_xsum-pairs_samples_per_second": 41.911,
"eval_xsum-pairs_steps_per_second": 0.327,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_sciq_pairs_loss": 0.030735233798623085,
"eval_sciq_pairs_runtime": 4.5905,
"eval_sciq_pairs_samples_per_second": 27.883,
"eval_sciq_pairs_steps_per_second": 0.218,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_qasc_pairs_loss": 0.04597622901201248,
"eval_qasc_pairs_runtime": 2.1506,
"eval_qasc_pairs_samples_per_second": 59.518,
"eval_qasc_pairs_steps_per_second": 0.465,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_openbookqa_pairs_loss": 0.3580770492553711,
"eval_openbookqa_pairs_runtime": 2.2167,
"eval_openbookqa_pairs_samples_per_second": 57.743,
"eval_openbookqa_pairs_steps_per_second": 0.451,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_msmarco_pairs_loss": 0.08442261815071106,
"eval_msmarco_pairs_runtime": 2.2308,
"eval_msmarco_pairs_samples_per_second": 57.377,
"eval_msmarco_pairs_steps_per_second": 0.448,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_nq_pairs_loss": 0.12354034185409546,
"eval_nq_pairs_runtime": 3.1805,
"eval_nq_pairs_samples_per_second": 40.245,
"eval_nq_pairs_steps_per_second": 0.314,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_trivia_pairs_loss": 0.08584598451852798,
"eval_trivia_pairs_runtime": 3.2829,
"eval_trivia_pairs_samples_per_second": 38.989,
"eval_trivia_pairs_steps_per_second": 0.305,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_gooaq_pairs_loss": 0.1563483476638794,
"eval_gooaq_pairs_runtime": 2.1458,
"eval_gooaq_pairs_samples_per_second": 59.651,
"eval_gooaq_pairs_steps_per_second": 0.466,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_paws-pos_loss": 0.026773599907755852,
"eval_paws-pos_runtime": 2.2412,
"eval_paws-pos_samples_per_second": 57.112,
"eval_paws-pos_steps_per_second": 0.446,
"step": 942
},
{
"epoch": 0.6023017902813299,
"eval_global_dataset_loss": 0.15439902245998383,
"eval_global_dataset_runtime": 8.5471,
"eval_global_dataset_samples_per_second": 38.025,
"eval_global_dataset_steps_per_second": 0.351,
"step": 942
},
{
"epoch": 0.6035805626598465,
"grad_norm": 5.923606872558594,
"learning_rate": 1.9914802981895636e-05,
"loss": 0.126,
"step": 944
},
{
"epoch": 0.6138107416879796,
"grad_norm": 2.5291152000427246,
"learning_rate": 1.9998887778598045e-05,
"loss": 0.1416,
"step": 960
},
{
"epoch": 0.6240409207161125,
"grad_norm": 6.44370174407959,
"learning_rate": 1.9993945237540454e-05,
"loss": 0.157,
"step": 976
},
{
"epoch": 0.6342710997442456,
"grad_norm": 5.631255149841309,
"learning_rate": 1.9985051399986202e-05,
"loss": 0.076,
"step": 992
},
{
"epoch": 0.6445012787723785,
"grad_norm": 3.087242364883423,
"learning_rate": 1.9972210955346275e-05,
"loss": 0.0956,
"step": 1008
},
{
"epoch": 0.6547314578005116,
"grad_norm": 5.553103446960449,
"learning_rate": 1.995543067394022e-05,
"loss": 0.1297,
"step": 1024
},
{
"epoch": 0.6649616368286445,
"grad_norm": 4.881236553192139,
"learning_rate": 1.9934719403426386e-05,
"loss": 0.1673,
"step": 1040
},
{
"epoch": 0.6751918158567775,
"grad_norm": 9.578516006469727,
"learning_rate": 1.9910088064136855e-05,
"loss": 0.0801,
"step": 1056
},
{
"epoch": 0.6854219948849105,
"grad_norm": 2.1746671199798584,
"learning_rate": 1.9881549643319548e-05,
"loss": 0.1508,
"step": 1072
},
{
"epoch": 0.6956521739130435,
"grad_norm": 1.0966675281524658,
"learning_rate": 1.9849119188290472e-05,
"loss": 0.082,
"step": 1088
},
{
"epoch": 0.7026854219948849,
"eval_Qnli-dev_cosine_accuracy": 0.701171875,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.6949167251586914,
"eval_Qnli-dev_cosine_ap": 0.7347660327067432,
"eval_Qnli-dev_cosine_f1": 0.6996336996336996,
"eval_Qnli-dev_cosine_f1_threshold": 0.6012573838233948,
"eval_Qnli-dev_cosine_precision": 0.6161290322580645,
"eval_Qnli-dev_cosine_recall": 0.809322033898305,
"eval_Qnli-dev_dot_accuracy": 0.681640625,
"eval_Qnli-dev_dot_accuracy_threshold": 601.9920654296875,
"eval_Qnli-dev_dot_ap": 0.6929187579311147,
"eval_Qnli-dev_dot_f1": 0.6769759450171821,
"eval_Qnli-dev_dot_f1_threshold": 541.3872680664062,
"eval_Qnli-dev_dot_precision": 0.569364161849711,
"eval_Qnli-dev_dot_recall": 0.8347457627118644,
"eval_Qnli-dev_euclidean_accuracy": 0.705078125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 24.72307586669922,
"eval_Qnli-dev_euclidean_ap": 0.7433711154783218,
"eval_Qnli-dev_euclidean_f1": 0.6951871657754012,
"eval_Qnli-dev_euclidean_f1_threshold": 27.680713653564453,
"eval_Qnli-dev_euclidean_precision": 0.6,
"eval_Qnli-dev_euclidean_recall": 0.826271186440678,
"eval_Qnli-dev_manhattan_accuracy": 0.705078125,
"eval_Qnli-dev_manhattan_accuracy_threshold": 771.5457763671875,
"eval_Qnli-dev_manhattan_ap": 0.7417925203500755,
"eval_Qnli-dev_manhattan_f1": 0.7015706806282722,
"eval_Qnli-dev_manhattan_f1_threshold": 873.9434814453125,
"eval_Qnli-dev_manhattan_precision": 0.5964391691394659,
"eval_Qnli-dev_manhattan_recall": 0.8516949152542372,
"eval_Qnli-dev_max_accuracy": 0.705078125,
"eval_Qnli-dev_max_accuracy_threshold": 771.5457763671875,
"eval_Qnli-dev_max_ap": 0.7433711154783218,
"eval_Qnli-dev_max_f1": 0.7015706806282722,
"eval_Qnli-dev_max_f1_threshold": 873.9434814453125,
"eval_Qnli-dev_max_precision": 0.6161290322580645,
"eval_Qnli-dev_max_recall": 0.8516949152542372,
"eval_allNLI-dev_cosine_accuracy": 0.71484375,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.7252209186553955,
"eval_allNLI-dev_cosine_ap": 0.5940767502246462,
"eval_allNLI-dev_cosine_f1": 0.6111111111111112,
"eval_allNLI-dev_cosine_f1_threshold": 0.6290402412414551,
"eval_allNLI-dev_cosine_precision": 0.4847457627118644,
"eval_allNLI-dev_cosine_recall": 0.8265895953757225,
"eval_allNLI-dev_dot_accuracy": 0.712890625,
"eval_allNLI-dev_dot_accuracy_threshold": 814.8841552734375,
"eval_allNLI-dev_dot_ap": 0.5890724491285201,
"eval_allNLI-dev_dot_f1": 0.6238938053097345,
"eval_allNLI-dev_dot_f1_threshold": 624.3211669921875,
"eval_allNLI-dev_dot_precision": 0.5053763440860215,
"eval_allNLI-dev_dot_recall": 0.815028901734104,
"eval_allNLI-dev_euclidean_accuracy": 0.712890625,
"eval_allNLI-dev_euclidean_accuracy_threshold": 21.297210693359375,
"eval_allNLI-dev_euclidean_ap": 0.5885663962477001,
"eval_allNLI-dev_euclidean_f1": 0.6053169734151329,
"eval_allNLI-dev_euclidean_f1_threshold": 27.594894409179688,
"eval_allNLI-dev_euclidean_precision": 0.46835443037974683,
"eval_allNLI-dev_euclidean_recall": 0.8554913294797688,
"eval_allNLI-dev_manhattan_accuracy": 0.7109375,
"eval_allNLI-dev_manhattan_accuracy_threshold": 655.72802734375,
"eval_allNLI-dev_manhattan_ap": 0.5903691578356358,
"eval_allNLI-dev_manhattan_f1": 0.6157024793388429,
"eval_allNLI-dev_manhattan_f1_threshold": 858.11962890625,
"eval_allNLI-dev_manhattan_precision": 0.4790996784565916,
"eval_allNLI-dev_manhattan_recall": 0.861271676300578,
"eval_allNLI-dev_max_accuracy": 0.71484375,
"eval_allNLI-dev_max_accuracy_threshold": 814.8841552734375,
"eval_allNLI-dev_max_ap": 0.5940767502246462,
"eval_allNLI-dev_max_f1": 0.6238938053097345,
"eval_allNLI-dev_max_f1_threshold": 858.11962890625,
"eval_allNLI-dev_max_precision": 0.5053763440860215,
"eval_allNLI-dev_max_recall": 0.861271676300578,
"eval_sequential_score": 0.7433711154783218,
"eval_sts-test_pearson_cosine": 0.9045402318307136,
"eval_sts-test_pearson_dot": 0.8756384139446844,
"eval_sts-test_pearson_euclidean": 0.9164304447060423,
"eval_sts-test_pearson_manhattan": 0.9157247908119455,
"eval_sts-test_pearson_max": 0.9164304447060423,
"eval_sts-test_spearman_cosine": 0.9084125676732273,
"eval_sts-test_spearman_dot": 0.8658350988039152,
"eval_sts-test_spearman_euclidean": 0.9116794097547996,
"eval_sts-test_spearman_manhattan": 0.9112685036727037,
"eval_sts-test_spearman_max": 0.9116794097547996,
"eval_vitaminc-pairs_loss": 4.510133266448975,
"eval_vitaminc-pairs_runtime": 4.4836,
"eval_vitaminc-pairs_samples_per_second": 28.548,
"eval_vitaminc-pairs_steps_per_second": 0.223,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_negation-triplets_loss": 0.6731557846069336,
"eval_negation-triplets_runtime": 3.3513,
"eval_negation-triplets_samples_per_second": 38.194,
"eval_negation-triplets_steps_per_second": 0.298,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_scitail-pairs-pos_loss": 0.026047488674521446,
"eval_scitail-pairs-pos_runtime": 2.666,
"eval_scitail-pairs-pos_samples_per_second": 48.012,
"eval_scitail-pairs-pos_steps_per_second": 0.375,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_scitail-pairs-qa_loss": 6.3366285758093e-05,
"eval_scitail-pairs-qa_runtime": 2.1132,
"eval_scitail-pairs-qa_samples_per_second": 60.571,
"eval_scitail-pairs-qa_steps_per_second": 0.473,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_xsum-pairs_loss": 0.010141758248209953,
"eval_xsum-pairs_runtime": 3.077,
"eval_xsum-pairs_samples_per_second": 41.599,
"eval_xsum-pairs_steps_per_second": 0.325,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_sciq_pairs_loss": 0.03606099635362625,
"eval_sciq_pairs_runtime": 4.6134,
"eval_sciq_pairs_samples_per_second": 27.745,
"eval_sciq_pairs_steps_per_second": 0.217,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_qasc_pairs_loss": 0.0794580727815628,
"eval_qasc_pairs_runtime": 2.0891,
"eval_qasc_pairs_samples_per_second": 61.27,
"eval_qasc_pairs_steps_per_second": 0.479,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_openbookqa_pairs_loss": 0.4053290784358978,
"eval_openbookqa_pairs_runtime": 2.2366,
"eval_openbookqa_pairs_samples_per_second": 57.229,
"eval_openbookqa_pairs_steps_per_second": 0.447,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_msmarco_pairs_loss": 0.08789154142141342,
"eval_msmarco_pairs_runtime": 2.2396,
"eval_msmarco_pairs_samples_per_second": 57.153,
"eval_msmarco_pairs_steps_per_second": 0.447,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_nq_pairs_loss": 0.07979367673397064,
"eval_nq_pairs_runtime": 3.1969,
"eval_nq_pairs_samples_per_second": 40.039,
"eval_nq_pairs_steps_per_second": 0.313,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_trivia_pairs_loss": 0.08963163197040558,
"eval_trivia_pairs_runtime": 3.2784,
"eval_trivia_pairs_samples_per_second": 39.044,
"eval_trivia_pairs_steps_per_second": 0.305,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_gooaq_pairs_loss": 0.1373358964920044,
"eval_gooaq_pairs_runtime": 2.1632,
"eval_gooaq_pairs_samples_per_second": 59.172,
"eval_gooaq_pairs_steps_per_second": 0.462,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_paws-pos_loss": 0.025509441271424294,
"eval_paws-pos_runtime": 2.2614,
"eval_paws-pos_samples_per_second": 56.603,
"eval_paws-pos_steps_per_second": 0.442,
"step": 1099
},
{
"epoch": 0.7026854219948849,
"eval_global_dataset_loss": 0.3096943199634552,
"eval_global_dataset_runtime": 8.5451,
"eval_global_dataset_samples_per_second": 38.034,
"eval_global_dataset_steps_per_second": 0.351,
"step": 1099
},
{
"epoch": 0.7058823529411765,
"grad_norm": 3.7510690689086914,
"learning_rate": 1.981281379849982e-05,
"loss": 0.112,
"step": 1104
},
{
"epoch": 0.7161125319693095,
"grad_norm": 4.916189670562744,
"learning_rate": 1.9772652616516024e-05,
"loss": 0.0565,
"step": 1120
},
{
"epoch": 0.7263427109974424,
"grad_norm": 2.7884182929992676,
"learning_rate": 1.972865681793253e-05,
"loss": 0.1297,
"step": 1136
},
{
"epoch": 0.7365728900255755,
"grad_norm": 1.4771391153335571,
"learning_rate": 1.9680849600202654e-05,
"loss": 0.1792,
"step": 1152
},
{
"epoch": 0.7468030690537084,
"grad_norm": 3.511519193649292,
"learning_rate": 1.9629256170408374e-05,
"loss": 0.1376,
"step": 1168
},
{
"epoch": 0.7570332480818415,
"grad_norm": 3.235853910446167,
"learning_rate": 1.957390373196951e-05,
"loss": 0.1362,
"step": 1184
},
{
"epoch": 0.7672634271099744,
"grad_norm": 5.856909275054932,
"learning_rate": 1.95148214703003e-05,
"loss": 0.1589,
"step": 1200
},
{
"epoch": 0.7774936061381074,
"grad_norm": 0.06289539486169815,
"learning_rate": 1.945204053742097e-05,
"loss": 0.0846,
"step": 1216
},
{
"epoch": 0.7877237851662404,
"grad_norm": 1.4921785805199761e-05,
"learning_rate": 1.9385594035532334e-05,
"loss": 0.1241,
"step": 1232
},
{
"epoch": 0.7979539641943734,
"grad_norm": 2.955247640609741,
"learning_rate": 1.9315516999562157e-05,
"loss": 0.1532,
"step": 1248
},
{
"epoch": 0.80306905370844,
"eval_Qnli-dev_cosine_accuracy": 0.69140625,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.751553475856781,
"eval_Qnli-dev_cosine_ap": 0.7397067201271598,
"eval_Qnli-dev_cosine_f1": 0.6996587030716723,
"eval_Qnli-dev_cosine_f1_threshold": 0.6113905906677246,
"eval_Qnli-dev_cosine_precision": 0.5857142857142857,
"eval_Qnli-dev_cosine_recall": 0.8686440677966102,
"eval_Qnli-dev_dot_accuracy": 0.671875,
"eval_Qnli-dev_dot_accuracy_threshold": 701.7063598632812,
"eval_Qnli-dev_dot_ap": 0.6973190002082854,
"eval_Qnli-dev_dot_f1": 0.6950819672131149,
"eval_Qnli-dev_dot_f1_threshold": 549.8828735351562,
"eval_Qnli-dev_dot_precision": 0.5668449197860963,
"eval_Qnli-dev_dot_recall": 0.8983050847457628,
"eval_Qnli-dev_euclidean_accuracy": 0.703125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 24.13254165649414,
"eval_Qnli-dev_euclidean_ap": 0.7479263198995789,
"eval_Qnli-dev_euclidean_f1": 0.7001733102253034,
"eval_Qnli-dev_euclidean_f1_threshold": 26.746252059936523,
"eval_Qnli-dev_euclidean_precision": 0.592375366568915,
"eval_Qnli-dev_euclidean_recall": 0.8559322033898306,
"eval_Qnli-dev_manhattan_accuracy": 0.703125,
"eval_Qnli-dev_manhattan_accuracy_threshold": 746.0479736328125,
"eval_Qnli-dev_manhattan_ap": 0.7475255901877714,
"eval_Qnli-dev_manhattan_f1": 0.7038327526132405,
"eval_Qnli-dev_manhattan_f1_threshold": 831.5120849609375,
"eval_Qnli-dev_manhattan_precision": 0.5976331360946746,
"eval_Qnli-dev_manhattan_recall": 0.8559322033898306,
"eval_Qnli-dev_max_accuracy": 0.703125,
"eval_Qnli-dev_max_accuracy_threshold": 746.0479736328125,
"eval_Qnli-dev_max_ap": 0.7479263198995789,
"eval_Qnli-dev_max_f1": 0.7038327526132405,
"eval_Qnli-dev_max_f1_threshold": 831.5120849609375,
"eval_Qnli-dev_max_precision": 0.5976331360946746,
"eval_Qnli-dev_max_recall": 0.8983050847457628,
"eval_allNLI-dev_cosine_accuracy": 0.728515625,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.7869724035263062,
"eval_allNLI-dev_cosine_ap": 0.5886410776508728,
"eval_allNLI-dev_cosine_f1": 0.6026871401151632,
"eval_allNLI-dev_cosine_f1_threshold": 0.6058770418167114,
"eval_allNLI-dev_cosine_precision": 0.4511494252873563,
"eval_allNLI-dev_cosine_recall": 0.9075144508670521,
"eval_allNLI-dev_dot_accuracy": 0.7265625,
"eval_allNLI-dev_dot_accuracy_threshold": 785.6377563476562,
"eval_allNLI-dev_dot_ap": 0.5906938241820221,
"eval_allNLI-dev_dot_f1": 0.6022471910112359,
"eval_allNLI-dev_dot_f1_threshold": 636.974365234375,
"eval_allNLI-dev_dot_precision": 0.49264705882352944,
"eval_allNLI-dev_dot_recall": 0.7745664739884393,
"eval_allNLI-dev_euclidean_accuracy": 0.728515625,
"eval_allNLI-dev_euclidean_accuracy_threshold": 20.30437469482422,
"eval_allNLI-dev_euclidean_ap": 0.5863882590299698,
"eval_allNLI-dev_euclidean_f1": 0.6101694915254238,
"eval_allNLI-dev_euclidean_f1_threshold": 24.397754669189453,
"eval_allNLI-dev_euclidean_precision": 0.525,
"eval_allNLI-dev_euclidean_recall": 0.7283236994219653,
"eval_allNLI-dev_manhattan_accuracy": 0.7265625,
"eval_allNLI-dev_manhattan_accuracy_threshold": 632.682861328125,
"eval_allNLI-dev_manhattan_ap": 0.5887339373924899,
"eval_allNLI-dev_manhattan_f1": 0.6124401913875598,
"eval_allNLI-dev_manhattan_f1_threshold": 763.71728515625,
"eval_allNLI-dev_manhattan_precision": 0.5224489795918368,
"eval_allNLI-dev_manhattan_recall": 0.7398843930635838,
"eval_allNLI-dev_max_accuracy": 0.728515625,
"eval_allNLI-dev_max_accuracy_threshold": 785.6377563476562,
"eval_allNLI-dev_max_ap": 0.5906938241820221,
"eval_allNLI-dev_max_f1": 0.6124401913875598,
"eval_allNLI-dev_max_f1_threshold": 763.71728515625,
"eval_allNLI-dev_max_precision": 0.525,
"eval_allNLI-dev_max_recall": 0.9075144508670521,
"eval_sequential_score": 0.7479263198995789,
"eval_sts-test_pearson_cosine": 0.9080505623602911,
"eval_sts-test_pearson_dot": 0.8941914869262664,
"eval_sts-test_pearson_euclidean": 0.9250463167676135,
"eval_sts-test_pearson_manhattan": 0.9243739071859142,
"eval_sts-test_pearson_max": 0.9250463167676135,
"eval_sts-test_spearman_cosine": 0.9193773427343025,
"eval_sts-test_spearman_dot": 0.8898582919390006,
"eval_sts-test_spearman_euclidean": 0.9199829615547123,
"eval_sts-test_spearman_manhattan": 0.9193662444214774,
"eval_sts-test_spearman_max": 0.9199829615547123,
"eval_vitaminc-pairs_loss": 3.124298095703125,
"eval_vitaminc-pairs_runtime": 4.4686,
"eval_vitaminc-pairs_samples_per_second": 28.644,
"eval_vitaminc-pairs_steps_per_second": 0.224,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_negation-triplets_loss": 0.5495098233222961,
"eval_negation-triplets_runtime": 3.2625,
"eval_negation-triplets_samples_per_second": 39.233,
"eval_negation-triplets_steps_per_second": 0.307,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_scitail-pairs-pos_loss": 0.011394428089261055,
"eval_scitail-pairs-pos_runtime": 2.6344,
"eval_scitail-pairs-pos_samples_per_second": 48.587,
"eval_scitail-pairs-pos_steps_per_second": 0.38,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_scitail-pairs-qa_loss": 0.00027512505766935647,
"eval_scitail-pairs-qa_runtime": 2.0567,
"eval_scitail-pairs-qa_samples_per_second": 62.235,
"eval_scitail-pairs-qa_steps_per_second": 0.486,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_xsum-pairs_loss": 0.021254997700452805,
"eval_xsum-pairs_runtime": 3.0587,
"eval_xsum-pairs_samples_per_second": 41.848,
"eval_xsum-pairs_steps_per_second": 0.327,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_sciq_pairs_loss": 0.030362099409103394,
"eval_sciq_pairs_runtime": 4.6386,
"eval_sciq_pairs_samples_per_second": 27.594,
"eval_sciq_pairs_steps_per_second": 0.216,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_qasc_pairs_loss": 0.03284536302089691,
"eval_qasc_pairs_runtime": 2.093,
"eval_qasc_pairs_samples_per_second": 61.156,
"eval_qasc_pairs_steps_per_second": 0.478,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_openbookqa_pairs_loss": 0.36659273505210876,
"eval_openbookqa_pairs_runtime": 2.2191,
"eval_openbookqa_pairs_samples_per_second": 57.681,
"eval_openbookqa_pairs_steps_per_second": 0.451,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_msmarco_pairs_loss": 0.10601727664470673,
"eval_msmarco_pairs_runtime": 2.2441,
"eval_msmarco_pairs_samples_per_second": 57.038,
"eval_msmarco_pairs_steps_per_second": 0.446,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_nq_pairs_loss": 0.13051600754261017,
"eval_nq_pairs_runtime": 3.176,
"eval_nq_pairs_samples_per_second": 40.303,
"eval_nq_pairs_steps_per_second": 0.315,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_trivia_pairs_loss": 0.06672928482294083,
"eval_trivia_pairs_runtime": 3.2525,
"eval_trivia_pairs_samples_per_second": 39.354,
"eval_trivia_pairs_steps_per_second": 0.307,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_gooaq_pairs_loss": 0.21090617775917053,
"eval_gooaq_pairs_runtime": 2.1187,
"eval_gooaq_pairs_samples_per_second": 60.415,
"eval_gooaq_pairs_steps_per_second": 0.472,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_paws-pos_loss": 0.027658751234412193,
"eval_paws-pos_runtime": 2.1768,
"eval_paws-pos_samples_per_second": 58.802,
"eval_paws-pos_steps_per_second": 0.459,
"step": 1256
},
{
"epoch": 0.80306905370844,
"eval_global_dataset_loss": 0.21396204829216003,
"eval_global_dataset_runtime": 8.4805,
"eval_global_dataset_samples_per_second": 38.323,
"eval_global_dataset_steps_per_second": 0.354,
"step": 1256
},
{
"epoch": 0.8081841432225064,
"grad_norm": 5.305633544921875,
"learning_rate": 1.9241846378692478e-05,
"loss": 0.0859,
"step": 1264
},
{
"epoch": 0.8184143222506394,
"grad_norm": 6.407199382781982,
"learning_rate": 1.9164621016877572e-05,
"loss": 0.0872,
"step": 1280
},
{
"epoch": 0.8286445012787724,
"grad_norm": 9.240785598754883,
"learning_rate": 1.908388163236289e-05,
"loss": 0.0685,
"step": 1296
},
{
"epoch": 0.8388746803069054,
"grad_norm": 0.3949645757675171,
"learning_rate": 1.899967079621575e-05,
"loss": 0.0729,
"step": 1312
},
{
"epoch": 0.8491048593350383,
"grad_norm": 4.485825061798096,
"learning_rate": 1.8912032909879084e-05,
"loss": 0.0679,
"step": 1328
},
{
"epoch": 0.8593350383631714,
"grad_norm": 8.746214866638184,
"learning_rate": 1.882101418176013e-05,
"loss": 0.0752,
"step": 1344
},
{
"epoch": 0.8695652173913043,
"grad_norm": 1.009152889251709,
"learning_rate": 1.872666260286631e-05,
"loss": 0.1651,
"step": 1360
},
{
"epoch": 0.8797953964194374,
"grad_norm": 6.190288066864014,
"learning_rate": 1.8629027921501253e-05,
"loss": 0.0975,
"step": 1376
},
{
"epoch": 0.8900255754475703,
"grad_norm": 17.912038803100586,
"learning_rate": 1.8528161617034276e-05,
"loss": 0.166,
"step": 1392
},
{
"epoch": 0.9002557544757033,
"grad_norm": 10.208046913146973,
"learning_rate": 1.8424116872757063e-05,
"loss": 0.079,
"step": 1408
},
{
"epoch": 0.9034526854219949,
"eval_Qnli-dev_cosine_accuracy": 0.701171875,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.6952118873596191,
"eval_Qnli-dev_cosine_ap": 0.7283975483790786,
"eval_Qnli-dev_cosine_f1": 0.6923076923076924,
"eval_Qnli-dev_cosine_f1_threshold": 0.5710936784744263,
"eval_Qnli-dev_cosine_precision": 0.5718232044198895,
"eval_Qnli-dev_cosine_recall": 0.8771186440677966,
"eval_Qnli-dev_dot_accuracy": 0.673828125,
"eval_Qnli-dev_dot_accuracy_threshold": 626.558837890625,
"eval_Qnli-dev_dot_ap": 0.6907790387670252,
"eval_Qnli-dev_dot_f1": 0.6821963394342762,
"eval_Qnli-dev_dot_f1_threshold": 524.71044921875,
"eval_Qnli-dev_dot_precision": 0.5616438356164384,
"eval_Qnli-dev_dot_recall": 0.8686440677966102,
"eval_Qnli-dev_euclidean_accuracy": 0.705078125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 25.063961029052734,
"eval_Qnli-dev_euclidean_ap": 0.7370960778450586,
"eval_Qnli-dev_euclidean_f1": 0.693200663349917,
"eval_Qnli-dev_euclidean_f1_threshold": 28.465593338012695,
"eval_Qnli-dev_euclidean_precision": 0.5694822888283378,
"eval_Qnli-dev_euclidean_recall": 0.885593220338983,
"eval_Qnli-dev_manhattan_accuracy": 0.703125,
"eval_Qnli-dev_manhattan_accuracy_threshold": 774.7894897460938,
"eval_Qnli-dev_manhattan_ap": 0.7379094600871705,
"eval_Qnli-dev_manhattan_f1": 0.6941580756013745,
"eval_Qnli-dev_manhattan_f1_threshold": 870.0184326171875,
"eval_Qnli-dev_manhattan_precision": 0.5838150289017341,
"eval_Qnli-dev_manhattan_recall": 0.8559322033898306,
"eval_Qnli-dev_max_accuracy": 0.705078125,
"eval_Qnli-dev_max_accuracy_threshold": 774.7894897460938,
"eval_Qnli-dev_max_ap": 0.7379094600871705,
"eval_Qnli-dev_max_f1": 0.6941580756013745,
"eval_Qnli-dev_max_f1_threshold": 870.0184326171875,
"eval_Qnli-dev_max_precision": 0.5838150289017341,
"eval_Qnli-dev_max_recall": 0.885593220338983,
"eval_allNLI-dev_cosine_accuracy": 0.72265625,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.7867391109466553,
"eval_allNLI-dev_cosine_ap": 0.6041209614947041,
"eval_allNLI-dev_cosine_f1": 0.64,
"eval_allNLI-dev_cosine_f1_threshold": 0.6645647287368774,
"eval_allNLI-dev_cosine_precision": 0.51985559566787,
"eval_allNLI-dev_cosine_recall": 0.8323699421965318,
"eval_allNLI-dev_dot_accuracy": 0.716796875,
"eval_allNLI-dev_dot_accuracy_threshold": 743.5255126953125,
"eval_allNLI-dev_dot_ap": 0.6040927239029834,
"eval_allNLI-dev_dot_f1": 0.6311300639658849,
"eval_allNLI-dev_dot_f1_threshold": 632.1693115234375,
"eval_allNLI-dev_dot_precision": 0.5,
"eval_allNLI-dev_dot_recall": 0.8554913294797688,
"eval_allNLI-dev_euclidean_accuracy": 0.72265625,
"eval_allNLI-dev_euclidean_accuracy_threshold": 20.951969146728516,
"eval_allNLI-dev_euclidean_ap": 0.6039261955905633,
"eval_allNLI-dev_euclidean_f1": 0.6391304347826088,
"eval_allNLI-dev_euclidean_f1_threshold": 25.697128295898438,
"eval_allNLI-dev_euclidean_precision": 0.5121951219512195,
"eval_allNLI-dev_euclidean_recall": 0.8497109826589595,
"eval_allNLI-dev_manhattan_accuracy": 0.724609375,
"eval_allNLI-dev_manhattan_accuracy_threshold": 655.82666015625,
"eval_allNLI-dev_manhattan_ap": 0.6051707157459539,
"eval_allNLI-dev_manhattan_f1": 0.6408602150537634,
"eval_allNLI-dev_manhattan_f1_threshold": 802.6712646484375,
"eval_allNLI-dev_manhattan_precision": 0.5102739726027398,
"eval_allNLI-dev_manhattan_recall": 0.861271676300578,
"eval_allNLI-dev_max_accuracy": 0.724609375,
"eval_allNLI-dev_max_accuracy_threshold": 743.5255126953125,
"eval_allNLI-dev_max_ap": 0.6051707157459539,
"eval_allNLI-dev_max_f1": 0.6408602150537634,
"eval_allNLI-dev_max_f1_threshold": 802.6712646484375,
"eval_allNLI-dev_max_precision": 0.51985559566787,
"eval_allNLI-dev_max_recall": 0.861271676300578,
"eval_sequential_score": 0.7379094600871705,
"eval_sts-test_pearson_cosine": 0.8937187089587758,
"eval_sts-test_pearson_dot": 0.8780160036144846,
"eval_sts-test_pearson_euclidean": 0.9143032007413827,
"eval_sts-test_pearson_manhattan": 0.9135829801788513,
"eval_sts-test_pearson_max": 0.9143032007413827,
"eval_sts-test_spearman_cosine": 0.9102164462686534,
"eval_sts-test_spearman_dot": 0.8867396212838953,
"eval_sts-test_spearman_euclidean": 0.9118095911741873,
"eval_sts-test_spearman_manhattan": 0.9116914478441138,
"eval_sts-test_spearman_max": 0.9118095911741873,
"eval_vitaminc-pairs_loss": 3.493912935256958,
"eval_vitaminc-pairs_runtime": 4.593,
"eval_vitaminc-pairs_samples_per_second": 27.868,
"eval_vitaminc-pairs_steps_per_second": 0.218,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_negation-triplets_loss": 0.5945984125137329,
"eval_negation-triplets_runtime": 3.4606,
"eval_negation-triplets_samples_per_second": 36.988,
"eval_negation-triplets_steps_per_second": 0.289,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_scitail-pairs-pos_loss": 0.014124380424618721,
"eval_scitail-pairs-pos_runtime": 2.7213,
"eval_scitail-pairs-pos_samples_per_second": 47.037,
"eval_scitail-pairs-pos_steps_per_second": 0.367,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_scitail-pairs-qa_loss": 0.0002780009526759386,
"eval_scitail-pairs-qa_runtime": 2.1293,
"eval_scitail-pairs-qa_samples_per_second": 60.112,
"eval_scitail-pairs-qa_steps_per_second": 0.47,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_xsum-pairs_loss": 0.006070319563150406,
"eval_xsum-pairs_runtime": 3.0868,
"eval_xsum-pairs_samples_per_second": 41.467,
"eval_xsum-pairs_steps_per_second": 0.324,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_sciq_pairs_loss": 0.03563125431537628,
"eval_sciq_pairs_runtime": 4.7217,
"eval_sciq_pairs_samples_per_second": 27.109,
"eval_sciq_pairs_steps_per_second": 0.212,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_qasc_pairs_loss": 0.0521722249686718,
"eval_qasc_pairs_runtime": 2.1625,
"eval_qasc_pairs_samples_per_second": 59.191,
"eval_qasc_pairs_steps_per_second": 0.462,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_openbookqa_pairs_loss": 0.42811527848243713,
"eval_openbookqa_pairs_runtime": 2.2676,
"eval_openbookqa_pairs_samples_per_second": 56.447,
"eval_openbookqa_pairs_steps_per_second": 0.441,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_msmarco_pairs_loss": 0.06089657172560692,
"eval_msmarco_pairs_runtime": 2.3099,
"eval_msmarco_pairs_samples_per_second": 55.413,
"eval_msmarco_pairs_steps_per_second": 0.433,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_nq_pairs_loss": 0.07195077836513519,
"eval_nq_pairs_runtime": 3.2241,
"eval_nq_pairs_samples_per_second": 39.701,
"eval_nq_pairs_steps_per_second": 0.31,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_trivia_pairs_loss": 0.07842885702848434,
"eval_trivia_pairs_runtime": 3.318,
"eval_trivia_pairs_samples_per_second": 38.578,
"eval_trivia_pairs_steps_per_second": 0.301,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_gooaq_pairs_loss": 0.22998635470867157,
"eval_gooaq_pairs_runtime": 2.1845,
"eval_gooaq_pairs_samples_per_second": 58.594,
"eval_gooaq_pairs_steps_per_second": 0.458,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_paws-pos_loss": 0.026847416535019875,
"eval_paws-pos_runtime": 2.257,
"eval_paws-pos_samples_per_second": 56.711,
"eval_paws-pos_steps_per_second": 0.443,
"step": 1413
},
{
"epoch": 0.9034526854219949,
"eval_global_dataset_loss": 0.2313106507062912,
"eval_global_dataset_runtime": 8.5928,
"eval_global_dataset_samples_per_second": 37.822,
"eval_global_dataset_steps_per_second": 0.349,
"step": 1413
},
{
"epoch": 0.9104859335038363,
"grad_norm": 4.242494583129883,
"learning_rate": 1.831694854784199e-05,
"loss": 0.09,
"step": 1424
},
{
"epoch": 0.9207161125319693,
"grad_norm": 3.443521022796631,
"learning_rate": 1.8206713148416786e-05,
"loss": 0.0777,
"step": 1440
},
{
"epoch": 0.9309462915601023,
"grad_norm": 5.784275054931641,
"learning_rate": 1.8093468797770824e-05,
"loss": 0.1623,
"step": 1456
},
{
"epoch": 0.9411764705882353,
"grad_norm": 3.4985251426696777,
"learning_rate": 1.797727520570872e-05,
"loss": 0.08,
"step": 1472
},
{
"epoch": 0.9514066496163683,
"grad_norm": 0.0,
"learning_rate": 1.7858193637067448e-05,
"loss": 0.0628,
"step": 1488
},
{
"epoch": 0.9616368286445013,
"grad_norm": 25.631418228149414,
"learning_rate": 1.7736286879413512e-05,
"loss": 0.1695,
"step": 1504
},
{
"epoch": 0.9718670076726342,
"grad_norm": 0.20079739391803741,
"learning_rate": 1.7611619209937253e-05,
"loss": 0.0715,
"step": 1520
},
{
"epoch": 0.9820971867007673,
"grad_norm": 2.610565662384033,
"learning_rate": 1.7484256361561727e-05,
"loss": 0.1493,
"step": 1536
},
{
"epoch": 0.9923273657289002,
"grad_norm": 4.348347187042236,
"learning_rate": 1.7354265488284006e-05,
"loss": 0.0431,
"step": 1552
},
{
"epoch": 1.0025575447570332,
"grad_norm": 0.3168568015098572,
"learning_rate": 1.7221715129767232e-05,
"loss": 0.0549,
"step": 1568
},
{
"epoch": 1.0038363171355498,
"eval_Qnli-dev_cosine_accuracy": 0.6875,
"eval_Qnli-dev_cosine_accuracy_threshold": 0.6184481382369995,
"eval_Qnli-dev_cosine_ap": 0.7056121359949208,
"eval_Qnli-dev_cosine_f1": 0.6952380952380951,
"eval_Qnli-dev_cosine_f1_threshold": 0.49581319093704224,
"eval_Qnli-dev_cosine_precision": 0.5558375634517766,
"eval_Qnli-dev_cosine_recall": 0.9279661016949152,
"eval_Qnli-dev_dot_accuracy": 0.669921875,
"eval_Qnli-dev_dot_accuracy_threshold": 588.2086791992188,
"eval_Qnli-dev_dot_ap": 0.6634755208971135,
"eval_Qnli-dev_dot_f1": 0.682615629984051,
"eval_Qnli-dev_dot_f1_threshold": 474.71929931640625,
"eval_Qnli-dev_dot_precision": 0.5473145780051151,
"eval_Qnli-dev_dot_recall": 0.9067796610169492,
"eval_Qnli-dev_euclidean_accuracy": 0.6953125,
"eval_Qnli-dev_euclidean_accuracy_threshold": 26.69474220275879,
"eval_Qnli-dev_euclidean_ap": 0.7138885693409427,
"eval_Qnli-dev_euclidean_f1": 0.6889952153110047,
"eval_Qnli-dev_euclidean_f1_threshold": 30.83841323852539,
"eval_Qnli-dev_euclidean_precision": 0.5524296675191815,
"eval_Qnli-dev_euclidean_recall": 0.9152542372881356,
"eval_Qnli-dev_manhattan_accuracy": 0.69921875,
"eval_Qnli-dev_manhattan_accuracy_threshold": 828.160888671875,
"eval_Qnli-dev_manhattan_ap": 0.7135214354709966,
"eval_Qnli-dev_manhattan_f1": 0.6946688206785138,
"eval_Qnli-dev_manhattan_f1_threshold": 948.8926391601562,
"eval_Qnli-dev_manhattan_precision": 0.5613577023498695,
"eval_Qnli-dev_manhattan_recall": 0.9110169491525424,
"eval_Qnli-dev_max_accuracy": 0.69921875,
"eval_Qnli-dev_max_accuracy_threshold": 828.160888671875,
"eval_Qnli-dev_max_ap": 0.7138885693409427,
"eval_Qnli-dev_max_f1": 0.6952380952380951,
"eval_Qnli-dev_max_f1_threshold": 948.8926391601562,
"eval_Qnli-dev_max_precision": 0.5613577023498695,
"eval_Qnli-dev_max_recall": 0.9279661016949152,
"eval_allNLI-dev_cosine_accuracy": 0.732421875,
"eval_allNLI-dev_cosine_accuracy_threshold": 0.7670466899871826,
"eval_allNLI-dev_cosine_ap": 0.6027188699685837,
"eval_allNLI-dev_cosine_f1": 0.6329670329670329,
"eval_allNLI-dev_cosine_f1_threshold": 0.6024478077888489,
"eval_allNLI-dev_cosine_precision": 0.5106382978723404,
"eval_allNLI-dev_cosine_recall": 0.8323699421965318,
"eval_allNLI-dev_dot_accuracy": 0.73046875,
"eval_allNLI-dev_dot_accuracy_threshold": 770.0897216796875,
"eval_allNLI-dev_dot_ap": 0.6081423958491258,
"eval_allNLI-dev_dot_f1": 0.6353944562899787,
"eval_allNLI-dev_dot_f1_threshold": 591.9297485351562,
"eval_allNLI-dev_dot_precision": 0.5033783783783784,
"eval_allNLI-dev_dot_recall": 0.861271676300578,
"eval_allNLI-dev_euclidean_accuracy": 0.73046875,
"eval_allNLI-dev_euclidean_accuracy_threshold": 21.835845947265625,
"eval_allNLI-dev_euclidean_ap": 0.6005093324675692,
"eval_allNLI-dev_euclidean_f1": 0.6293103448275861,
"eval_allNLI-dev_euclidean_f1_threshold": 28.473522186279297,
"eval_allNLI-dev_euclidean_precision": 0.5017182130584192,
"eval_allNLI-dev_euclidean_recall": 0.8439306358381503,
"eval_allNLI-dev_manhattan_accuracy": 0.7265625,
"eval_allNLI-dev_manhattan_accuracy_threshold": 680.2508544921875,
"eval_allNLI-dev_manhattan_ap": 0.6018042293397726,
"eval_allNLI-dev_manhattan_f1": 0.6304801670146138,
"eval_allNLI-dev_manhattan_f1_threshold": 898.6156005859375,
"eval_allNLI-dev_manhattan_precision": 0.4934640522875817,
"eval_allNLI-dev_manhattan_recall": 0.8728323699421965,
"eval_allNLI-dev_max_accuracy": 0.732421875,
"eval_allNLI-dev_max_accuracy_threshold": 770.0897216796875,
"eval_allNLI-dev_max_ap": 0.6081423958491258,
"eval_allNLI-dev_max_f1": 0.6353944562899787,
"eval_allNLI-dev_max_f1_threshold": 898.6156005859375,
"eval_allNLI-dev_max_precision": 0.5106382978723404,
"eval_allNLI-dev_max_recall": 0.8728323699421965,
"eval_sequential_score": 0.7138885693409427,
"eval_sts-test_pearson_cosine": 0.9214303723022845,
"eval_sts-test_pearson_dot": 0.9134748689148063,
"eval_sts-test_pearson_euclidean": 0.9310374550677829,
"eval_sts-test_pearson_manhattan": 0.9302032670949281,
"eval_sts-test_pearson_max": 0.9310374550677829,
"eval_sts-test_spearman_cosine": 0.9289372414465175,
"eval_sts-test_spearman_dot": 0.9125128124956916,
"eval_sts-test_spearman_euclidean": 0.9281762462465566,
"eval_sts-test_spearman_manhattan": 0.927857841021757,
"eval_sts-test_spearman_max": 0.9289372414465175,
"eval_vitaminc-pairs_loss": 2.8373610973358154,
"eval_vitaminc-pairs_runtime": 4.5356,
"eval_vitaminc-pairs_samples_per_second": 28.221,
"eval_vitaminc-pairs_steps_per_second": 0.22,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_negation-triplets_loss": 0.5640828013420105,
"eval_negation-triplets_runtime": 3.3229,
"eval_negation-triplets_samples_per_second": 38.521,
"eval_negation-triplets_steps_per_second": 0.301,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_scitail-pairs-pos_loss": 0.0052706534042954445,
"eval_scitail-pairs-pos_runtime": 2.668,
"eval_scitail-pairs-pos_samples_per_second": 47.976,
"eval_scitail-pairs-pos_steps_per_second": 0.375,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_scitail-pairs-qa_loss": 0.0019441621843725443,
"eval_scitail-pairs-qa_runtime": 2.1089,
"eval_scitail-pairs-qa_samples_per_second": 60.695,
"eval_scitail-pairs-qa_steps_per_second": 0.474,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_xsum-pairs_loss": 0.011966066434979439,
"eval_xsum-pairs_runtime": 3.0863,
"eval_xsum-pairs_samples_per_second": 41.473,
"eval_xsum-pairs_steps_per_second": 0.324,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_sciq_pairs_loss": 0.04289625212550163,
"eval_sciq_pairs_runtime": 4.6422,
"eval_sciq_pairs_samples_per_second": 27.573,
"eval_sciq_pairs_steps_per_second": 0.215,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_qasc_pairs_loss": 0.028154749423265457,
"eval_qasc_pairs_runtime": 2.0822,
"eval_qasc_pairs_samples_per_second": 61.473,
"eval_qasc_pairs_steps_per_second": 0.48,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_openbookqa_pairs_loss": 0.43164512515068054,
"eval_openbookqa_pairs_runtime": 2.2533,
"eval_openbookqa_pairs_samples_per_second": 56.804,
"eval_openbookqa_pairs_steps_per_second": 0.444,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_msmarco_pairs_loss": 0.06808631122112274,
"eval_msmarco_pairs_runtime": 2.2513,
"eval_msmarco_pairs_samples_per_second": 56.857,
"eval_msmarco_pairs_steps_per_second": 0.444,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_nq_pairs_loss": 0.14540795981884003,
"eval_nq_pairs_runtime": 3.1738,
"eval_nq_pairs_samples_per_second": 40.33,
"eval_nq_pairs_steps_per_second": 0.315,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_trivia_pairs_loss": 0.05832359194755554,
"eval_trivia_pairs_runtime": 3.27,
"eval_trivia_pairs_samples_per_second": 39.143,
"eval_trivia_pairs_steps_per_second": 0.306,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_gooaq_pairs_loss": 0.07345020771026611,
"eval_gooaq_pairs_runtime": 2.163,
"eval_gooaq_pairs_samples_per_second": 59.176,
"eval_gooaq_pairs_steps_per_second": 0.462,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_paws-pos_loss": 0.024956367909908295,
"eval_paws-pos_runtime": 2.2558,
"eval_paws-pos_samples_per_second": 56.742,
"eval_paws-pos_steps_per_second": 0.443,
"step": 1570
},
{
"epoch": 1.0038363171355498,
"eval_global_dataset_loss": 0.1613905131816864,
"eval_global_dataset_runtime": 8.5533,
"eval_global_dataset_samples_per_second": 37.997,
"eval_global_dataset_steps_per_second": 0.351,
"step": 1570
}
],
"logging_steps": 16,
"max_steps": 3128,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 157,
"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": 64,
"trial_name": null,
"trial_params": null
}