akkky02's picture
managed the repo
8f4e803
raw
history blame contribute delete
No virus
26.2 kB
{
"best_metric": 0.7013603448867798,
"best_model_checkpoint": "../../experiments_checkpoints/MAdAiLab/google_t5/t5_small_amazon/checkpoint-1100",
"epoch": 3.0,
"eval_steps": 50,
"global_step": 1140,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"grad_norm": 2.4166171550750732,
"learning_rate": 0.0004956140350877193,
"loss": 3.1083,
"step": 10
},
{
"epoch": 0.05,
"grad_norm": 2.1570193767547607,
"learning_rate": 0.0004912280701754386,
"loss": 2.9816,
"step": 20
},
{
"epoch": 0.08,
"grad_norm": 1.6915223598480225,
"learning_rate": 0.0004868421052631579,
"loss": 2.9485,
"step": 30
},
{
"epoch": 0.11,
"grad_norm": 1.6796109676361084,
"learning_rate": 0.0004824561403508772,
"loss": 2.5652,
"step": 40
},
{
"epoch": 0.13,
"grad_norm": 2.0288569927215576,
"learning_rate": 0.00047807017543859647,
"loss": 2.1202,
"step": 50
},
{
"epoch": 0.13,
"eval_accuracy": 0.5329380764163373,
"eval_f1_macro": 0.384104867500989,
"eval_f1_micro": 0.5329380764163373,
"eval_loss": 1.808777093887329,
"eval_runtime": 1.2462,
"eval_samples_per_second": 1218.095,
"eval_steps_per_second": 38.517,
"step": 50
},
{
"epoch": 0.16,
"grad_norm": 2.4368162155151367,
"learning_rate": 0.00047368421052631577,
"loss": 1.8285,
"step": 60
},
{
"epoch": 0.18,
"grad_norm": 2.4492692947387695,
"learning_rate": 0.0004692982456140351,
"loss": 1.5762,
"step": 70
},
{
"epoch": 0.21,
"grad_norm": 4.4139299392700195,
"learning_rate": 0.00046491228070175437,
"loss": 1.3461,
"step": 80
},
{
"epoch": 0.24,
"grad_norm": 2.3908071517944336,
"learning_rate": 0.0004605263157894737,
"loss": 1.3544,
"step": 90
},
{
"epoch": 0.26,
"grad_norm": 2.259780168533325,
"learning_rate": 0.000456140350877193,
"loss": 1.1993,
"step": 100
},
{
"epoch": 0.26,
"eval_accuracy": 0.6613965744400527,
"eval_f1_macro": 0.5438670494720591,
"eval_f1_micro": 0.6613965744400527,
"eval_loss": 1.1745669841766357,
"eval_runtime": 1.2956,
"eval_samples_per_second": 1171.684,
"eval_steps_per_second": 37.049,
"step": 100
},
{
"epoch": 0.29,
"grad_norm": 2.785118341445923,
"learning_rate": 0.00045175438596491233,
"loss": 1.278,
"step": 110
},
{
"epoch": 0.32,
"grad_norm": 3.2425591945648193,
"learning_rate": 0.0004473684210526316,
"loss": 1.0901,
"step": 120
},
{
"epoch": 0.34,
"grad_norm": 3.0471508502960205,
"learning_rate": 0.0004429824561403509,
"loss": 1.1888,
"step": 130
},
{
"epoch": 0.37,
"grad_norm": 2.5289652347564697,
"learning_rate": 0.0004385964912280702,
"loss": 0.9788,
"step": 140
},
{
"epoch": 0.39,
"grad_norm": 2.7128379344940186,
"learning_rate": 0.0004342105263157895,
"loss": 1.0698,
"step": 150
},
{
"epoch": 0.39,
"eval_accuracy": 0.6884057971014492,
"eval_f1_macro": 0.6003720421134128,
"eval_f1_micro": 0.6884057971014492,
"eval_loss": 1.0115997791290283,
"eval_runtime": 1.2952,
"eval_samples_per_second": 1172.016,
"eval_steps_per_second": 37.06,
"step": 150
},
{
"epoch": 0.42,
"grad_norm": 3.8709490299224854,
"learning_rate": 0.0004298245614035088,
"loss": 1.0113,
"step": 160
},
{
"epoch": 0.45,
"grad_norm": 3.408216714859009,
"learning_rate": 0.0004254385964912281,
"loss": 1.0532,
"step": 170
},
{
"epoch": 0.47,
"grad_norm": 2.8890082836151123,
"learning_rate": 0.00042105263157894734,
"loss": 1.0167,
"step": 180
},
{
"epoch": 0.5,
"grad_norm": 4.663267612457275,
"learning_rate": 0.0004166666666666667,
"loss": 1.0561,
"step": 190
},
{
"epoch": 0.53,
"grad_norm": 2.8700387477874756,
"learning_rate": 0.000412280701754386,
"loss": 0.8999,
"step": 200
},
{
"epoch": 0.53,
"eval_accuracy": 0.717391304347826,
"eval_f1_macro": 0.6538801770527956,
"eval_f1_micro": 0.717391304347826,
"eval_loss": 0.9428409337997437,
"eval_runtime": 1.2446,
"eval_samples_per_second": 1219.646,
"eval_steps_per_second": 38.566,
"step": 200
},
{
"epoch": 0.55,
"grad_norm": 3.236957550048828,
"learning_rate": 0.00040789473684210524,
"loss": 0.8635,
"step": 210
},
{
"epoch": 0.58,
"grad_norm": 5.146123886108398,
"learning_rate": 0.00040350877192982455,
"loss": 1.0005,
"step": 220
},
{
"epoch": 0.61,
"grad_norm": 3.9536075592041016,
"learning_rate": 0.0003991228070175439,
"loss": 0.9122,
"step": 230
},
{
"epoch": 0.63,
"grad_norm": 2.807563304901123,
"learning_rate": 0.00039473684210526315,
"loss": 0.9735,
"step": 240
},
{
"epoch": 0.66,
"grad_norm": 7.1934919357299805,
"learning_rate": 0.00039035087719298245,
"loss": 1.1022,
"step": 250
},
{
"epoch": 0.66,
"eval_accuracy": 0.7246376811594203,
"eval_f1_macro": 0.6715689496561603,
"eval_f1_micro": 0.7246376811594203,
"eval_loss": 0.8931711316108704,
"eval_runtime": 1.296,
"eval_samples_per_second": 1171.291,
"eval_steps_per_second": 37.037,
"step": 250
},
{
"epoch": 0.68,
"grad_norm": 2.2508842945098877,
"learning_rate": 0.00038596491228070175,
"loss": 0.9077,
"step": 260
},
{
"epoch": 0.71,
"grad_norm": 3.2862801551818848,
"learning_rate": 0.00038157894736842105,
"loss": 0.9932,
"step": 270
},
{
"epoch": 0.74,
"grad_norm": 2.539895534515381,
"learning_rate": 0.00037719298245614036,
"loss": 0.8718,
"step": 280
},
{
"epoch": 0.76,
"grad_norm": 4.113556385040283,
"learning_rate": 0.00037280701754385966,
"loss": 0.856,
"step": 290
},
{
"epoch": 0.79,
"grad_norm": 2.2022409439086914,
"learning_rate": 0.00036842105263157896,
"loss": 0.8337,
"step": 300
},
{
"epoch": 0.79,
"eval_accuracy": 0.7285902503293807,
"eval_f1_macro": 0.6788777576959576,
"eval_f1_micro": 0.7285902503293807,
"eval_loss": 0.8664311766624451,
"eval_runtime": 1.2586,
"eval_samples_per_second": 1206.118,
"eval_steps_per_second": 38.138,
"step": 300
},
{
"epoch": 0.82,
"grad_norm": 3.421111583709717,
"learning_rate": 0.00036403508771929826,
"loss": 0.836,
"step": 310
},
{
"epoch": 0.84,
"grad_norm": 4.356611251831055,
"learning_rate": 0.00035964912280701756,
"loss": 0.911,
"step": 320
},
{
"epoch": 0.87,
"grad_norm": 4.17406702041626,
"learning_rate": 0.00035526315789473687,
"loss": 0.9708,
"step": 330
},
{
"epoch": 0.89,
"grad_norm": 3.6954843997955322,
"learning_rate": 0.0003508771929824561,
"loss": 0.8783,
"step": 340
},
{
"epoch": 0.92,
"grad_norm": 3.14982533454895,
"learning_rate": 0.00034649122807017547,
"loss": 0.9594,
"step": 350
},
{
"epoch": 0.92,
"eval_accuracy": 0.7503293807641633,
"eval_f1_macro": 0.6993639076591665,
"eval_f1_micro": 0.7503293807641633,
"eval_loss": 0.8445017337799072,
"eval_runtime": 1.2645,
"eval_samples_per_second": 1200.522,
"eval_steps_per_second": 37.961,
"step": 350
},
{
"epoch": 0.95,
"grad_norm": 3.1979424953460693,
"learning_rate": 0.00034210526315789477,
"loss": 0.7379,
"step": 360
},
{
"epoch": 0.97,
"grad_norm": 2.852599620819092,
"learning_rate": 0.000337719298245614,
"loss": 0.931,
"step": 370
},
{
"epoch": 1.0,
"grad_norm": 2.8022282123565674,
"learning_rate": 0.0003333333333333333,
"loss": 0.7579,
"step": 380
},
{
"epoch": 1.03,
"grad_norm": 3.0786988735198975,
"learning_rate": 0.0003289473684210527,
"loss": 0.7347,
"step": 390
},
{
"epoch": 1.05,
"grad_norm": 2.600757360458374,
"learning_rate": 0.0003245614035087719,
"loss": 0.803,
"step": 400
},
{
"epoch": 1.05,
"eval_accuracy": 0.7529644268774703,
"eval_f1_macro": 0.6995912826384776,
"eval_f1_micro": 0.7529644268774703,
"eval_loss": 0.8047745227813721,
"eval_runtime": 1.3204,
"eval_samples_per_second": 1149.687,
"eval_steps_per_second": 36.354,
"step": 400
},
{
"epoch": 1.08,
"grad_norm": 2.7453322410583496,
"learning_rate": 0.00032017543859649123,
"loss": 0.7006,
"step": 410
},
{
"epoch": 1.11,
"grad_norm": 2.7500882148742676,
"learning_rate": 0.00031578947368421053,
"loss": 0.7501,
"step": 420
},
{
"epoch": 1.13,
"grad_norm": 4.403367519378662,
"learning_rate": 0.00031140350877192983,
"loss": 0.8383,
"step": 430
},
{
"epoch": 1.16,
"grad_norm": 2.546445369720459,
"learning_rate": 0.00030701754385964913,
"loss": 0.6768,
"step": 440
},
{
"epoch": 1.18,
"grad_norm": 1.9148272275924683,
"learning_rate": 0.00030263157894736844,
"loss": 0.7271,
"step": 450
},
{
"epoch": 1.18,
"eval_accuracy": 0.7602108036890646,
"eval_f1_macro": 0.7019487651738747,
"eval_f1_micro": 0.7602108036890646,
"eval_loss": 0.7776466608047485,
"eval_runtime": 1.3229,
"eval_samples_per_second": 1147.482,
"eval_steps_per_second": 36.284,
"step": 450
},
{
"epoch": 1.21,
"grad_norm": 3.360862970352173,
"learning_rate": 0.0002982456140350877,
"loss": 0.8197,
"step": 460
},
{
"epoch": 1.24,
"grad_norm": 2.3219194412231445,
"learning_rate": 0.00029385964912280704,
"loss": 0.6231,
"step": 470
},
{
"epoch": 1.26,
"grad_norm": 4.6816229820251465,
"learning_rate": 0.00028947368421052634,
"loss": 0.7613,
"step": 480
},
{
"epoch": 1.29,
"grad_norm": 3.6067404747009277,
"learning_rate": 0.00028508771929824564,
"loss": 0.6973,
"step": 490
},
{
"epoch": 1.32,
"grad_norm": 2.7148826122283936,
"learning_rate": 0.0002807017543859649,
"loss": 0.6694,
"step": 500
},
{
"epoch": 1.32,
"eval_accuracy": 0.7608695652173914,
"eval_f1_macro": 0.7083962744871815,
"eval_f1_micro": 0.7608695652173914,
"eval_loss": 0.7674228549003601,
"eval_runtime": 1.272,
"eval_samples_per_second": 1193.385,
"eval_steps_per_second": 37.735,
"step": 500
},
{
"epoch": 1.34,
"grad_norm": 2.637134552001953,
"learning_rate": 0.00027631578947368425,
"loss": 0.6469,
"step": 510
},
{
"epoch": 1.37,
"grad_norm": 2.232243776321411,
"learning_rate": 0.00027192982456140355,
"loss": 0.7557,
"step": 520
},
{
"epoch": 1.39,
"grad_norm": 3.86612606048584,
"learning_rate": 0.0002675438596491228,
"loss": 0.7325,
"step": 530
},
{
"epoch": 1.42,
"grad_norm": 2.2842824459075928,
"learning_rate": 0.0002631578947368421,
"loss": 0.5918,
"step": 540
},
{
"epoch": 1.45,
"grad_norm": 2.8408637046813965,
"learning_rate": 0.00025877192982456146,
"loss": 0.6109,
"step": 550
},
{
"epoch": 1.45,
"eval_accuracy": 0.7608695652173914,
"eval_f1_macro": 0.7081134075783231,
"eval_f1_micro": 0.7608695652173914,
"eval_loss": 0.7647947669029236,
"eval_runtime": 1.2692,
"eval_samples_per_second": 1196.015,
"eval_steps_per_second": 37.819,
"step": 550
},
{
"epoch": 1.47,
"grad_norm": 2.67587947845459,
"learning_rate": 0.0002543859649122807,
"loss": 0.6937,
"step": 560
},
{
"epoch": 1.5,
"grad_norm": 2.2099223136901855,
"learning_rate": 0.00025,
"loss": 0.6696,
"step": 570
},
{
"epoch": 1.53,
"grad_norm": 2.383314609527588,
"learning_rate": 0.0002456140350877193,
"loss": 0.6252,
"step": 580
},
{
"epoch": 1.55,
"grad_norm": 3.261552572250366,
"learning_rate": 0.0002412280701754386,
"loss": 0.5798,
"step": 590
},
{
"epoch": 1.58,
"grad_norm": 2.702723741531372,
"learning_rate": 0.00023684210526315788,
"loss": 0.6575,
"step": 600
},
{
"epoch": 1.58,
"eval_accuracy": 0.7628458498023716,
"eval_f1_macro": 0.71173444087918,
"eval_f1_micro": 0.7628458498023716,
"eval_loss": 0.7526513934135437,
"eval_runtime": 1.4987,
"eval_samples_per_second": 1012.867,
"eval_steps_per_second": 32.027,
"step": 600
},
{
"epoch": 1.61,
"grad_norm": 2.8729443550109863,
"learning_rate": 0.00023245614035087719,
"loss": 0.6817,
"step": 610
},
{
"epoch": 1.63,
"grad_norm": 2.480459213256836,
"learning_rate": 0.0002280701754385965,
"loss": 0.6792,
"step": 620
},
{
"epoch": 1.66,
"grad_norm": 3.253549575805664,
"learning_rate": 0.0002236842105263158,
"loss": 0.6368,
"step": 630
},
{
"epoch": 1.68,
"grad_norm": 3.7337493896484375,
"learning_rate": 0.0002192982456140351,
"loss": 0.7799,
"step": 640
},
{
"epoch": 1.71,
"grad_norm": 3.4292104244232178,
"learning_rate": 0.0002149122807017544,
"loss": 0.777,
"step": 650
},
{
"epoch": 1.71,
"eval_accuracy": 0.769433465085639,
"eval_f1_macro": 0.7217630318046797,
"eval_f1_micro": 0.769433465085639,
"eval_loss": 0.7418988943099976,
"eval_runtime": 1.2675,
"eval_samples_per_second": 1197.616,
"eval_steps_per_second": 37.869,
"step": 650
},
{
"epoch": 1.74,
"grad_norm": 2.52197003364563,
"learning_rate": 0.00021052631578947367,
"loss": 0.5507,
"step": 660
},
{
"epoch": 1.76,
"grad_norm": 3.5961380004882812,
"learning_rate": 0.000206140350877193,
"loss": 0.6555,
"step": 670
},
{
"epoch": 1.79,
"grad_norm": 5.47299337387085,
"learning_rate": 0.00020175438596491227,
"loss": 0.748,
"step": 680
},
{
"epoch": 1.82,
"grad_norm": 3.6607069969177246,
"learning_rate": 0.00019736842105263157,
"loss": 0.6491,
"step": 690
},
{
"epoch": 1.84,
"grad_norm": 3.5043647289276123,
"learning_rate": 0.00019298245614035088,
"loss": 0.6362,
"step": 700
},
{
"epoch": 1.84,
"eval_accuracy": 0.7799736495388669,
"eval_f1_macro": 0.7301450284031649,
"eval_f1_micro": 0.7799736495388669,
"eval_loss": 0.7271929383277893,
"eval_runtime": 1.2681,
"eval_samples_per_second": 1197.064,
"eval_steps_per_second": 37.852,
"step": 700
},
{
"epoch": 1.87,
"grad_norm": 2.762425661087036,
"learning_rate": 0.00018859649122807018,
"loss": 0.7247,
"step": 710
},
{
"epoch": 1.89,
"grad_norm": 2.687269926071167,
"learning_rate": 0.00018421052631578948,
"loss": 0.6264,
"step": 720
},
{
"epoch": 1.92,
"grad_norm": 2.9003891944885254,
"learning_rate": 0.00017982456140350878,
"loss": 0.6243,
"step": 730
},
{
"epoch": 1.95,
"grad_norm": 3.443100929260254,
"learning_rate": 0.00017543859649122806,
"loss": 0.7026,
"step": 740
},
{
"epoch": 1.97,
"grad_norm": 2.562163829803467,
"learning_rate": 0.00017105263157894739,
"loss": 0.648,
"step": 750
},
{
"epoch": 1.97,
"eval_accuracy": 0.7812911725955204,
"eval_f1_macro": 0.7356498242584253,
"eval_f1_micro": 0.7812911725955204,
"eval_loss": 0.7136700749397278,
"eval_runtime": 1.268,
"eval_samples_per_second": 1197.205,
"eval_steps_per_second": 37.856,
"step": 750
},
{
"epoch": 2.0,
"grad_norm": 2.538322925567627,
"learning_rate": 0.00016666666666666666,
"loss": 0.6682,
"step": 760
},
{
"epoch": 2.03,
"grad_norm": 2.9608592987060547,
"learning_rate": 0.00016228070175438596,
"loss": 0.554,
"step": 770
},
{
"epoch": 2.05,
"grad_norm": 3.1620254516601562,
"learning_rate": 0.00015789473684210527,
"loss": 0.5446,
"step": 780
},
{
"epoch": 2.08,
"grad_norm": 2.561002016067505,
"learning_rate": 0.00015350877192982457,
"loss": 0.5153,
"step": 790
},
{
"epoch": 2.11,
"grad_norm": 2.196606397628784,
"learning_rate": 0.00014912280701754384,
"loss": 0.4981,
"step": 800
},
{
"epoch": 2.11,
"eval_accuracy": 0.7766798418972332,
"eval_f1_macro": 0.7258055584715567,
"eval_f1_micro": 0.7766798418972332,
"eval_loss": 0.7154478430747986,
"eval_runtime": 1.3162,
"eval_samples_per_second": 1153.362,
"eval_steps_per_second": 36.47,
"step": 800
},
{
"epoch": 2.13,
"grad_norm": 2.3084490299224854,
"learning_rate": 0.00014473684210526317,
"loss": 0.4972,
"step": 810
},
{
"epoch": 2.16,
"grad_norm": 2.283141613006592,
"learning_rate": 0.00014035087719298245,
"loss": 0.4606,
"step": 820
},
{
"epoch": 2.18,
"grad_norm": 4.426635265350342,
"learning_rate": 0.00013596491228070177,
"loss": 0.5108,
"step": 830
},
{
"epoch": 2.21,
"grad_norm": 3.8946399688720703,
"learning_rate": 0.00013157894736842105,
"loss": 0.5072,
"step": 840
},
{
"epoch": 2.24,
"grad_norm": 2.5790274143218994,
"learning_rate": 0.00012719298245614035,
"loss": 0.4955,
"step": 850
},
{
"epoch": 2.24,
"eval_accuracy": 0.7799736495388669,
"eval_f1_macro": 0.731846151928883,
"eval_f1_micro": 0.7799736495388669,
"eval_loss": 0.7233121395111084,
"eval_runtime": 1.2667,
"eval_samples_per_second": 1198.367,
"eval_steps_per_second": 37.893,
"step": 850
},
{
"epoch": 2.26,
"grad_norm": 3.8150198459625244,
"learning_rate": 0.00012280701754385965,
"loss": 0.4035,
"step": 860
},
{
"epoch": 2.29,
"grad_norm": 2.8765792846679688,
"learning_rate": 0.00011842105263157894,
"loss": 0.5247,
"step": 870
},
{
"epoch": 2.32,
"grad_norm": 3.2408721446990967,
"learning_rate": 0.00011403508771929824,
"loss": 0.5062,
"step": 880
},
{
"epoch": 2.34,
"grad_norm": 2.066289186477661,
"learning_rate": 0.00010964912280701755,
"loss": 0.3746,
"step": 890
},
{
"epoch": 2.37,
"grad_norm": 4.370830535888672,
"learning_rate": 0.00010526315789473683,
"loss": 0.4451,
"step": 900
},
{
"epoch": 2.37,
"eval_accuracy": 0.7779973649538867,
"eval_f1_macro": 0.7279848994870372,
"eval_f1_micro": 0.7779973649538867,
"eval_loss": 0.7181668877601624,
"eval_runtime": 1.3175,
"eval_samples_per_second": 1152.141,
"eval_steps_per_second": 36.431,
"step": 900
},
{
"epoch": 2.39,
"grad_norm": 2.3764281272888184,
"learning_rate": 0.00010087719298245614,
"loss": 0.5377,
"step": 910
},
{
"epoch": 2.42,
"grad_norm": 3.0116217136383057,
"learning_rate": 9.649122807017544e-05,
"loss": 0.5044,
"step": 920
},
{
"epoch": 2.45,
"grad_norm": 2.8177366256713867,
"learning_rate": 9.210526315789474e-05,
"loss": 0.5144,
"step": 930
},
{
"epoch": 2.47,
"grad_norm": 3.101243257522583,
"learning_rate": 8.771929824561403e-05,
"loss": 0.6122,
"step": 940
},
{
"epoch": 2.5,
"grad_norm": 2.797656297683716,
"learning_rate": 8.333333333333333e-05,
"loss": 0.421,
"step": 950
},
{
"epoch": 2.5,
"eval_accuracy": 0.7747035573122529,
"eval_f1_macro": 0.7261997754426944,
"eval_f1_micro": 0.7747035573122529,
"eval_loss": 0.7116832733154297,
"eval_runtime": 1.2665,
"eval_samples_per_second": 1198.612,
"eval_steps_per_second": 37.901,
"step": 950
},
{
"epoch": 2.53,
"grad_norm": 1.7224795818328857,
"learning_rate": 7.894736842105263e-05,
"loss": 0.5545,
"step": 960
},
{
"epoch": 2.55,
"grad_norm": 1.7975401878356934,
"learning_rate": 7.456140350877192e-05,
"loss": 0.5856,
"step": 970
},
{
"epoch": 2.58,
"grad_norm": 3.113168478012085,
"learning_rate": 7.017543859649122e-05,
"loss": 0.4921,
"step": 980
},
{
"epoch": 2.61,
"grad_norm": 2.885319709777832,
"learning_rate": 6.578947368421052e-05,
"loss": 0.4638,
"step": 990
},
{
"epoch": 2.63,
"grad_norm": 3.5493428707122803,
"learning_rate": 6.140350877192983e-05,
"loss": 0.4853,
"step": 1000
},
{
"epoch": 2.63,
"eval_accuracy": 0.7760210803689065,
"eval_f1_macro": 0.7271826503982889,
"eval_f1_micro": 0.7760210803689065,
"eval_loss": 0.7091566324234009,
"eval_runtime": 1.3164,
"eval_samples_per_second": 1153.153,
"eval_steps_per_second": 36.463,
"step": 1000
},
{
"epoch": 2.66,
"grad_norm": 3.597778081893921,
"learning_rate": 5.701754385964912e-05,
"loss": 0.4753,
"step": 1010
},
{
"epoch": 2.68,
"grad_norm": 2.5180883407592773,
"learning_rate": 5.263157894736842e-05,
"loss": 0.5155,
"step": 1020
},
{
"epoch": 2.71,
"grad_norm": 2.6854727268218994,
"learning_rate": 4.824561403508772e-05,
"loss": 0.4774,
"step": 1030
},
{
"epoch": 2.74,
"grad_norm": 3.311980962753296,
"learning_rate": 4.3859649122807014e-05,
"loss": 0.524,
"step": 1040
},
{
"epoch": 2.76,
"grad_norm": 4.007936477661133,
"learning_rate": 3.9473684210526316e-05,
"loss": 0.5442,
"step": 1050
},
{
"epoch": 2.76,
"eval_accuracy": 0.7740447957839263,
"eval_f1_macro": 0.7272104730436151,
"eval_f1_micro": 0.7740447957839263,
"eval_loss": 0.7113538384437561,
"eval_runtime": 1.3148,
"eval_samples_per_second": 1154.575,
"eval_steps_per_second": 36.508,
"step": 1050
},
{
"epoch": 2.79,
"grad_norm": 2.6298959255218506,
"learning_rate": 3.508771929824561e-05,
"loss": 0.5173,
"step": 1060
},
{
"epoch": 2.82,
"grad_norm": 2.9783828258514404,
"learning_rate": 3.0701754385964913e-05,
"loss": 0.6384,
"step": 1070
},
{
"epoch": 2.84,
"grad_norm": 3.03838849067688,
"learning_rate": 2.631578947368421e-05,
"loss": 0.5627,
"step": 1080
},
{
"epoch": 2.87,
"grad_norm": 2.553374767303467,
"learning_rate": 2.1929824561403507e-05,
"loss": 0.4947,
"step": 1090
},
{
"epoch": 2.89,
"grad_norm": 2.0844762325286865,
"learning_rate": 1.7543859649122806e-05,
"loss": 0.4863,
"step": 1100
},
{
"epoch": 2.89,
"eval_accuracy": 0.7766798418972332,
"eval_f1_macro": 0.7273078975523218,
"eval_f1_micro": 0.7766798418972332,
"eval_loss": 0.7013603448867798,
"eval_runtime": 1.3157,
"eval_samples_per_second": 1153.75,
"eval_steps_per_second": 36.482,
"step": 1100
},
{
"epoch": 2.92,
"grad_norm": 1.7584428787231445,
"learning_rate": 1.3157894736842104e-05,
"loss": 0.516,
"step": 1110
},
{
"epoch": 2.95,
"grad_norm": 2.012805700302124,
"learning_rate": 8.771929824561403e-06,
"loss": 0.6011,
"step": 1120
},
{
"epoch": 2.97,
"grad_norm": 3.4424493312835693,
"learning_rate": 4.3859649122807014e-06,
"loss": 0.4124,
"step": 1130
},
{
"epoch": 3.0,
"grad_norm": 2.8425490856170654,
"learning_rate": 0.0,
"loss": 0.4705,
"step": 1140
},
{
"epoch": 3.0,
"step": 1140,
"total_flos": 1242006489661440.0,
"train_loss": 0.8189868109268055,
"train_runtime": 138.2392,
"train_samples_per_second": 263.543,
"train_steps_per_second": 8.247
}
],
"logging_steps": 10,
"max_steps": 1140,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 50,
"total_flos": 1242006489661440.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}