top_11_ranking_stackexchange / trainer_state.json
sedrickkeh's picture
End of training
48d7f83 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.99626400996264,
"eval_steps": 500,
"global_step": 1203,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.024906600249066,
"grad_norm": 44.361316887243134,
"learning_rate": 5e-06,
"loss": 1.0469,
"step": 10
},
{
"epoch": 0.049813200498132,
"grad_norm": 1.9340361918852786,
"learning_rate": 5e-06,
"loss": 0.9485,
"step": 20
},
{
"epoch": 0.074719800747198,
"grad_norm": 1.5810624474405115,
"learning_rate": 5e-06,
"loss": 0.9118,
"step": 30
},
{
"epoch": 0.099626400996264,
"grad_norm": 1.0226804734735437,
"learning_rate": 5e-06,
"loss": 0.896,
"step": 40
},
{
"epoch": 0.12453300124533001,
"grad_norm": 0.8059494431972822,
"learning_rate": 5e-06,
"loss": 0.885,
"step": 50
},
{
"epoch": 0.149439601494396,
"grad_norm": 1.0759666179613023,
"learning_rate": 5e-06,
"loss": 0.8743,
"step": 60
},
{
"epoch": 0.17434620174346202,
"grad_norm": 0.6070805032397537,
"learning_rate": 5e-06,
"loss": 0.865,
"step": 70
},
{
"epoch": 0.199252801992528,
"grad_norm": 0.8206282215157027,
"learning_rate": 5e-06,
"loss": 0.8637,
"step": 80
},
{
"epoch": 0.22415940224159403,
"grad_norm": 0.8375312112666434,
"learning_rate": 5e-06,
"loss": 0.8538,
"step": 90
},
{
"epoch": 0.24906600249066002,
"grad_norm": 0.8745465775067757,
"learning_rate": 5e-06,
"loss": 0.8462,
"step": 100
},
{
"epoch": 0.273972602739726,
"grad_norm": 0.7671374593440573,
"learning_rate": 5e-06,
"loss": 0.8516,
"step": 110
},
{
"epoch": 0.298879202988792,
"grad_norm": 0.6357492120016651,
"learning_rate": 5e-06,
"loss": 0.8424,
"step": 120
},
{
"epoch": 0.32378580323785805,
"grad_norm": 0.7985944551248969,
"learning_rate": 5e-06,
"loss": 0.838,
"step": 130
},
{
"epoch": 0.34869240348692404,
"grad_norm": 0.6906428387839867,
"learning_rate": 5e-06,
"loss": 0.8425,
"step": 140
},
{
"epoch": 0.37359900373599003,
"grad_norm": 0.63382119448828,
"learning_rate": 5e-06,
"loss": 0.8394,
"step": 150
},
{
"epoch": 0.398505603985056,
"grad_norm": 0.7372274527250459,
"learning_rate": 5e-06,
"loss": 0.8331,
"step": 160
},
{
"epoch": 0.42341220423412207,
"grad_norm": 0.6083911703654408,
"learning_rate": 5e-06,
"loss": 0.8326,
"step": 170
},
{
"epoch": 0.44831880448318806,
"grad_norm": 1.1261618495477859,
"learning_rate": 5e-06,
"loss": 0.8279,
"step": 180
},
{
"epoch": 0.47322540473225405,
"grad_norm": 0.7015056078596724,
"learning_rate": 5e-06,
"loss": 0.8289,
"step": 190
},
{
"epoch": 0.49813200498132004,
"grad_norm": 0.7547586360167027,
"learning_rate": 5e-06,
"loss": 0.8269,
"step": 200
},
{
"epoch": 0.523038605230386,
"grad_norm": 0.729606315703109,
"learning_rate": 5e-06,
"loss": 0.827,
"step": 210
},
{
"epoch": 0.547945205479452,
"grad_norm": 0.576263809426071,
"learning_rate": 5e-06,
"loss": 0.8278,
"step": 220
},
{
"epoch": 0.572851805728518,
"grad_norm": 0.608656960705352,
"learning_rate": 5e-06,
"loss": 0.8255,
"step": 230
},
{
"epoch": 0.597758405977584,
"grad_norm": 0.6942678291488105,
"learning_rate": 5e-06,
"loss": 0.8247,
"step": 240
},
{
"epoch": 0.6226650062266501,
"grad_norm": 0.8474112920696388,
"learning_rate": 5e-06,
"loss": 0.8211,
"step": 250
},
{
"epoch": 0.6475716064757161,
"grad_norm": 0.7436541561484579,
"learning_rate": 5e-06,
"loss": 0.8205,
"step": 260
},
{
"epoch": 0.6724782067247821,
"grad_norm": 0.5723501381180358,
"learning_rate": 5e-06,
"loss": 0.8175,
"step": 270
},
{
"epoch": 0.6973848069738481,
"grad_norm": 0.7393336592407068,
"learning_rate": 5e-06,
"loss": 0.8266,
"step": 280
},
{
"epoch": 0.7222914072229141,
"grad_norm": 0.8642437433242355,
"learning_rate": 5e-06,
"loss": 0.8213,
"step": 290
},
{
"epoch": 0.7471980074719801,
"grad_norm": 0.6599736959065436,
"learning_rate": 5e-06,
"loss": 0.8197,
"step": 300
},
{
"epoch": 0.772104607721046,
"grad_norm": 0.589894020890247,
"learning_rate": 5e-06,
"loss": 0.8171,
"step": 310
},
{
"epoch": 0.797011207970112,
"grad_norm": 0.6770015328448542,
"learning_rate": 5e-06,
"loss": 0.8159,
"step": 320
},
{
"epoch": 0.821917808219178,
"grad_norm": 0.6953955951335576,
"learning_rate": 5e-06,
"loss": 0.8156,
"step": 330
},
{
"epoch": 0.8468244084682441,
"grad_norm": 0.8401761226093455,
"learning_rate": 5e-06,
"loss": 0.8136,
"step": 340
},
{
"epoch": 0.8717310087173101,
"grad_norm": 0.6479655559695816,
"learning_rate": 5e-06,
"loss": 0.8091,
"step": 350
},
{
"epoch": 0.8966376089663761,
"grad_norm": 0.7636033751591921,
"learning_rate": 5e-06,
"loss": 0.8127,
"step": 360
},
{
"epoch": 0.9215442092154421,
"grad_norm": 0.5680882933927079,
"learning_rate": 5e-06,
"loss": 0.8139,
"step": 370
},
{
"epoch": 0.9464508094645081,
"grad_norm": 0.5317095758960971,
"learning_rate": 5e-06,
"loss": 0.8148,
"step": 380
},
{
"epoch": 0.9713574097135741,
"grad_norm": 0.5355215121901621,
"learning_rate": 5e-06,
"loss": 0.8133,
"step": 390
},
{
"epoch": 0.9962640099626401,
"grad_norm": 0.5034767977871308,
"learning_rate": 5e-06,
"loss": 0.8102,
"step": 400
},
{
"epoch": 0.9987546699875467,
"eval_loss": 0.8109647631645203,
"eval_runtime": 429.8587,
"eval_samples_per_second": 25.166,
"eval_steps_per_second": 0.395,
"step": 401
},
{
"epoch": 1.0211706102117062,
"grad_norm": 0.7772306063471781,
"learning_rate": 5e-06,
"loss": 0.8079,
"step": 410
},
{
"epoch": 1.046077210460772,
"grad_norm": 0.547172758232467,
"learning_rate": 5e-06,
"loss": 0.7693,
"step": 420
},
{
"epoch": 1.0709838107098382,
"grad_norm": 0.6602663338851202,
"learning_rate": 5e-06,
"loss": 0.7659,
"step": 430
},
{
"epoch": 1.095890410958904,
"grad_norm": 0.5563021526867751,
"learning_rate": 5e-06,
"loss": 0.7669,
"step": 440
},
{
"epoch": 1.1207970112079702,
"grad_norm": 0.5764004393923637,
"learning_rate": 5e-06,
"loss": 0.7676,
"step": 450
},
{
"epoch": 1.145703611457036,
"grad_norm": 0.6104368430877777,
"learning_rate": 5e-06,
"loss": 0.7668,
"step": 460
},
{
"epoch": 1.1706102117061021,
"grad_norm": 0.5856299384522291,
"learning_rate": 5e-06,
"loss": 0.7653,
"step": 470
},
{
"epoch": 1.195516811955168,
"grad_norm": 0.5968500894238352,
"learning_rate": 5e-06,
"loss": 0.7691,
"step": 480
},
{
"epoch": 1.2204234122042341,
"grad_norm": 0.6425311166512483,
"learning_rate": 5e-06,
"loss": 0.7692,
"step": 490
},
{
"epoch": 1.2453300124533002,
"grad_norm": 0.5800761501783642,
"learning_rate": 5e-06,
"loss": 0.77,
"step": 500
},
{
"epoch": 1.270236612702366,
"grad_norm": 0.5217881601799819,
"learning_rate": 5e-06,
"loss": 0.7649,
"step": 510
},
{
"epoch": 1.2951432129514322,
"grad_norm": 0.7577819320627684,
"learning_rate": 5e-06,
"loss": 0.7682,
"step": 520
},
{
"epoch": 1.320049813200498,
"grad_norm": 0.7467713696988785,
"learning_rate": 5e-06,
"loss": 0.7712,
"step": 530
},
{
"epoch": 1.3449564134495642,
"grad_norm": 0.6010822997576867,
"learning_rate": 5e-06,
"loss": 0.7664,
"step": 540
},
{
"epoch": 1.36986301369863,
"grad_norm": 0.689181454056687,
"learning_rate": 5e-06,
"loss": 0.7679,
"step": 550
},
{
"epoch": 1.3947696139476962,
"grad_norm": 0.4747660184884877,
"learning_rate": 5e-06,
"loss": 0.7639,
"step": 560
},
{
"epoch": 1.419676214196762,
"grad_norm": 0.5116161932838977,
"learning_rate": 5e-06,
"loss": 0.7677,
"step": 570
},
{
"epoch": 1.4445828144458281,
"grad_norm": 0.6433790988167347,
"learning_rate": 5e-06,
"loss": 0.7626,
"step": 580
},
{
"epoch": 1.4694894146948942,
"grad_norm": 0.6145972003931011,
"learning_rate": 5e-06,
"loss": 0.7639,
"step": 590
},
{
"epoch": 1.4943960149439601,
"grad_norm": 0.5887457741602182,
"learning_rate": 5e-06,
"loss": 0.7612,
"step": 600
},
{
"epoch": 1.519302615193026,
"grad_norm": 0.5628593594779383,
"learning_rate": 5e-06,
"loss": 0.7685,
"step": 610
},
{
"epoch": 1.544209215442092,
"grad_norm": 0.49978624448408865,
"learning_rate": 5e-06,
"loss": 0.7655,
"step": 620
},
{
"epoch": 1.5691158156911582,
"grad_norm": 0.5121970961880906,
"learning_rate": 5e-06,
"loss": 0.7646,
"step": 630
},
{
"epoch": 1.5940224159402243,
"grad_norm": 0.5120901081120943,
"learning_rate": 5e-06,
"loss": 0.7633,
"step": 640
},
{
"epoch": 1.6189290161892902,
"grad_norm": 0.5708046084852306,
"learning_rate": 5e-06,
"loss": 0.7701,
"step": 650
},
{
"epoch": 1.643835616438356,
"grad_norm": 0.559772892922969,
"learning_rate": 5e-06,
"loss": 0.7671,
"step": 660
},
{
"epoch": 1.6687422166874222,
"grad_norm": 0.508876685275154,
"learning_rate": 5e-06,
"loss": 0.7627,
"step": 670
},
{
"epoch": 1.6936488169364883,
"grad_norm": 0.5547904679119214,
"learning_rate": 5e-06,
"loss": 0.7665,
"step": 680
},
{
"epoch": 1.7185554171855542,
"grad_norm": 0.5327048566040764,
"learning_rate": 5e-06,
"loss": 0.7612,
"step": 690
},
{
"epoch": 1.74346201743462,
"grad_norm": 0.5681641331800833,
"learning_rate": 5e-06,
"loss": 0.7625,
"step": 700
},
{
"epoch": 1.7683686176836861,
"grad_norm": 0.5583754277477581,
"learning_rate": 5e-06,
"loss": 0.7678,
"step": 710
},
{
"epoch": 1.7932752179327522,
"grad_norm": 0.5821109954208563,
"learning_rate": 5e-06,
"loss": 0.7641,
"step": 720
},
{
"epoch": 1.8181818181818183,
"grad_norm": 0.6033561880814401,
"learning_rate": 5e-06,
"loss": 0.7671,
"step": 730
},
{
"epoch": 1.8430884184308842,
"grad_norm": 0.6575859282775093,
"learning_rate": 5e-06,
"loss": 0.7569,
"step": 740
},
{
"epoch": 1.86799501867995,
"grad_norm": 0.5332781614516378,
"learning_rate": 5e-06,
"loss": 0.7617,
"step": 750
},
{
"epoch": 1.8929016189290162,
"grad_norm": 0.6171829234250781,
"learning_rate": 5e-06,
"loss": 0.7628,
"step": 760
},
{
"epoch": 1.9178082191780823,
"grad_norm": 0.553381597192015,
"learning_rate": 5e-06,
"loss": 0.7623,
"step": 770
},
{
"epoch": 1.9427148194271482,
"grad_norm": 0.5971496735780886,
"learning_rate": 5e-06,
"loss": 0.7595,
"step": 780
},
{
"epoch": 1.967621419676214,
"grad_norm": 0.566450928468519,
"learning_rate": 5e-06,
"loss": 0.7613,
"step": 790
},
{
"epoch": 1.9925280199252802,
"grad_norm": 0.6533740130175245,
"learning_rate": 5e-06,
"loss": 0.7613,
"step": 800
},
{
"epoch": 2.0,
"eval_loss": 0.798328697681427,
"eval_runtime": 427.8716,
"eval_samples_per_second": 25.283,
"eval_steps_per_second": 0.397,
"step": 803
},
{
"epoch": 2.0174346201743463,
"grad_norm": 0.9428578537809662,
"learning_rate": 5e-06,
"loss": 0.764,
"step": 810
},
{
"epoch": 2.0423412204234124,
"grad_norm": 0.682790769401012,
"learning_rate": 5e-06,
"loss": 0.7174,
"step": 820
},
{
"epoch": 2.067247820672478,
"grad_norm": 0.732474650025201,
"learning_rate": 5e-06,
"loss": 0.7136,
"step": 830
},
{
"epoch": 2.092154420921544,
"grad_norm": 0.5517924405803882,
"learning_rate": 5e-06,
"loss": 0.7141,
"step": 840
},
{
"epoch": 2.1170610211706102,
"grad_norm": 0.527980258175362,
"learning_rate": 5e-06,
"loss": 0.7205,
"step": 850
},
{
"epoch": 2.1419676214196763,
"grad_norm": 0.5578355324627287,
"learning_rate": 5e-06,
"loss": 0.7182,
"step": 860
},
{
"epoch": 2.166874221668742,
"grad_norm": 0.5384061514408854,
"learning_rate": 5e-06,
"loss": 0.7174,
"step": 870
},
{
"epoch": 2.191780821917808,
"grad_norm": 0.5433323621552549,
"learning_rate": 5e-06,
"loss": 0.7227,
"step": 880
},
{
"epoch": 2.216687422166874,
"grad_norm": 0.5934434020270568,
"learning_rate": 5e-06,
"loss": 0.7154,
"step": 890
},
{
"epoch": 2.2415940224159403,
"grad_norm": 0.5610116690136854,
"learning_rate": 5e-06,
"loss": 0.7181,
"step": 900
},
{
"epoch": 2.2665006226650064,
"grad_norm": 0.5956518936383002,
"learning_rate": 5e-06,
"loss": 0.7188,
"step": 910
},
{
"epoch": 2.291407222914072,
"grad_norm": 0.5700434018521554,
"learning_rate": 5e-06,
"loss": 0.7189,
"step": 920
},
{
"epoch": 2.316313823163138,
"grad_norm": 0.6159365804430498,
"learning_rate": 5e-06,
"loss": 0.7208,
"step": 930
},
{
"epoch": 2.3412204234122043,
"grad_norm": 0.5739840813262334,
"learning_rate": 5e-06,
"loss": 0.7191,
"step": 940
},
{
"epoch": 2.3661270236612704,
"grad_norm": 0.517298472276118,
"learning_rate": 5e-06,
"loss": 0.7254,
"step": 950
},
{
"epoch": 2.391033623910336,
"grad_norm": 0.5309037963536546,
"learning_rate": 5e-06,
"loss": 0.7177,
"step": 960
},
{
"epoch": 2.415940224159402,
"grad_norm": 0.5464343303315381,
"learning_rate": 5e-06,
"loss": 0.7162,
"step": 970
},
{
"epoch": 2.4408468244084682,
"grad_norm": 0.5884939657248605,
"learning_rate": 5e-06,
"loss": 0.7238,
"step": 980
},
{
"epoch": 2.4657534246575343,
"grad_norm": 0.6058278477423068,
"learning_rate": 5e-06,
"loss": 0.7217,
"step": 990
},
{
"epoch": 2.4906600249066004,
"grad_norm": 0.575706246130651,
"learning_rate": 5e-06,
"loss": 0.7211,
"step": 1000
},
{
"epoch": 2.515566625155666,
"grad_norm": 0.6210182727077225,
"learning_rate": 5e-06,
"loss": 0.722,
"step": 1010
},
{
"epoch": 2.540473225404732,
"grad_norm": 0.6248334338554098,
"learning_rate": 5e-06,
"loss": 0.7226,
"step": 1020
},
{
"epoch": 2.5653798256537983,
"grad_norm": 0.6075603863013977,
"learning_rate": 5e-06,
"loss": 0.7201,
"step": 1030
},
{
"epoch": 2.5902864259028644,
"grad_norm": 0.6125989005343908,
"learning_rate": 5e-06,
"loss": 0.7225,
"step": 1040
},
{
"epoch": 2.61519302615193,
"grad_norm": 0.5723698102141317,
"learning_rate": 5e-06,
"loss": 0.7184,
"step": 1050
},
{
"epoch": 2.640099626400996,
"grad_norm": 0.5988876404053375,
"learning_rate": 5e-06,
"loss": 0.7228,
"step": 1060
},
{
"epoch": 2.6650062266500623,
"grad_norm": 0.5535541669685047,
"learning_rate": 5e-06,
"loss": 0.7219,
"step": 1070
},
{
"epoch": 2.6899128268991284,
"grad_norm": 0.6560134586878092,
"learning_rate": 5e-06,
"loss": 0.7231,
"step": 1080
},
{
"epoch": 2.7148194271481945,
"grad_norm": 0.570154529031656,
"learning_rate": 5e-06,
"loss": 0.7207,
"step": 1090
},
{
"epoch": 2.73972602739726,
"grad_norm": 0.6903793080558596,
"learning_rate": 5e-06,
"loss": 0.7225,
"step": 1100
},
{
"epoch": 2.7646326276463262,
"grad_norm": 0.609309475396782,
"learning_rate": 5e-06,
"loss": 0.7199,
"step": 1110
},
{
"epoch": 2.7895392278953923,
"grad_norm": 0.4982077265492007,
"learning_rate": 5e-06,
"loss": 0.723,
"step": 1120
},
{
"epoch": 2.8144458281444584,
"grad_norm": 0.5520401600798728,
"learning_rate": 5e-06,
"loss": 0.7195,
"step": 1130
},
{
"epoch": 2.839352428393524,
"grad_norm": 0.5678772706098874,
"learning_rate": 5e-06,
"loss": 0.7241,
"step": 1140
},
{
"epoch": 2.86425902864259,
"grad_norm": 0.6919987752510048,
"learning_rate": 5e-06,
"loss": 0.7218,
"step": 1150
},
{
"epoch": 2.8891656288916563,
"grad_norm": 0.5523800519721218,
"learning_rate": 5e-06,
"loss": 0.7223,
"step": 1160
},
{
"epoch": 2.9140722291407224,
"grad_norm": 0.5786175424826561,
"learning_rate": 5e-06,
"loss": 0.7248,
"step": 1170
},
{
"epoch": 2.9389788293897885,
"grad_norm": 0.5805260846296417,
"learning_rate": 5e-06,
"loss": 0.7186,
"step": 1180
},
{
"epoch": 2.963885429638854,
"grad_norm": 0.6087027130014465,
"learning_rate": 5e-06,
"loss": 0.7225,
"step": 1190
},
{
"epoch": 2.9887920298879203,
"grad_norm": 0.6138969910749299,
"learning_rate": 5e-06,
"loss": 0.7228,
"step": 1200
},
{
"epoch": 2.99626400996264,
"eval_loss": 0.7962795495986938,
"eval_runtime": 431.1284,
"eval_samples_per_second": 25.092,
"eval_steps_per_second": 0.394,
"step": 1203
},
{
"epoch": 2.99626400996264,
"step": 1203,
"total_flos": 2014860426608640.0,
"train_loss": 0.7768312251676843,
"train_runtime": 70934.0832,
"train_samples_per_second": 8.693,
"train_steps_per_second": 0.017
}
],
"logging_steps": 10,
"max_steps": 1203,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 2014860426608640.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}