ViViT_WLASL_100_SR_4_ep200_p20 / trainer_state.json
Shawon16's picture
End of training
5dae263 verified
{
"best_metric": 0.6745562130177515,
"best_model_checkpoint": "/media/cse/HDD/Shawon/shawon/MY DATA/ViViT_WLASL_100_SR_4_ep200_p20/checkpoint-4686",
"epoch": 45.00499305555556,
"eval_steps": 500,
"global_step": 8291,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.002777777777777778,
"grad_norm": 46.614158630371094,
"learning_rate": 1.3472222222222222e-06,
"loss": 18.9788,
"step": 100
},
{
"epoch": 0.005,
"eval_accuracy": 0.026627218934911243,
"eval_f1": 0.008186647196111367,
"eval_loss": 4.690920829772949,
"eval_precision": 0.005517409748672709,
"eval_recall": 0.026627218934911243,
"eval_runtime": 19.4352,
"eval_samples_per_second": 17.391,
"eval_steps_per_second": 8.696,
"step": 180
},
{
"epoch": 1.000548611111111,
"grad_norm": 44.873966217041016,
"learning_rate": 2.7361111111111114e-06,
"loss": 18.8244,
"step": 200
},
{
"epoch": 1.0033263888888888,
"grad_norm": 43.23536682128906,
"learning_rate": 4.125e-06,
"loss": 18.6803,
"step": 300
},
{
"epoch": 1.0049930555555555,
"eval_accuracy": 0.026627218934911243,
"eval_f1": 0.0057761083277597,
"eval_loss": 4.617973327636719,
"eval_precision": 0.003442859602301134,
"eval_recall": 0.026627218934911243,
"eval_runtime": 18.7273,
"eval_samples_per_second": 18.049,
"eval_steps_per_second": 9.024,
"step": 360
},
{
"epoch": 2.001097222222222,
"grad_norm": 43.87873458862305,
"learning_rate": 5.513888888888889e-06,
"loss": 18.3151,
"step": 400
},
{
"epoch": 2.003875,
"grad_norm": 45.60523986816406,
"learning_rate": 6.902777777777777e-06,
"loss": 18.0341,
"step": 500
},
{
"epoch": 2.004986111111111,
"eval_accuracy": 0.047337278106508875,
"eval_f1": 0.023768276430998322,
"eval_loss": 4.518121242523193,
"eval_precision": 0.020485887948289476,
"eval_recall": 0.047337278106508875,
"eval_runtime": 19.5951,
"eval_samples_per_second": 17.249,
"eval_steps_per_second": 8.625,
"step": 540
},
{
"epoch": 3.0016458333333333,
"grad_norm": 49.1752815246582,
"learning_rate": 8.291666666666667e-06,
"loss": 17.4359,
"step": 600
},
{
"epoch": 3.004423611111111,
"grad_norm": 51.076786041259766,
"learning_rate": 9.680555555555556e-06,
"loss": 17.0617,
"step": 700
},
{
"epoch": 3.0050069444444443,
"eval_accuracy": 0.07396449704142012,
"eval_f1": 0.047821065111354005,
"eval_loss": 4.337636470794678,
"eval_precision": 0.054133340554329064,
"eval_recall": 0.07396449704142012,
"eval_runtime": 18.9343,
"eval_samples_per_second": 17.851,
"eval_steps_per_second": 8.926,
"step": 721
},
{
"epoch": 4.002194444444444,
"grad_norm": 46.15924835205078,
"learning_rate": 1.1069444444444445e-05,
"loss": 16.0988,
"step": 800
},
{
"epoch": 4.004972222222222,
"grad_norm": 51.79167938232422,
"learning_rate": 1.2458333333333334e-05,
"loss": 15.6302,
"step": 900
},
{
"epoch": 4.005,
"eval_accuracy": 0.11834319526627218,
"eval_f1": 0.081513142682628,
"eval_loss": 4.070884704589844,
"eval_precision": 0.07720141700404858,
"eval_recall": 0.11834319526627218,
"eval_runtime": 20.1431,
"eval_samples_per_second": 16.78,
"eval_steps_per_second": 8.39,
"step": 901
},
{
"epoch": 5.002743055555555,
"grad_norm": 55.07365798950195,
"learning_rate": 1.3847222222222223e-05,
"loss": 14.0851,
"step": 1000
},
{
"epoch": 5.0049930555555555,
"eval_accuracy": 0.1863905325443787,
"eval_f1": 0.14494279207764105,
"eval_loss": 3.755218029022217,
"eval_precision": 0.1535636372174834,
"eval_recall": 0.1863905325443787,
"eval_runtime": 19.7392,
"eval_samples_per_second": 17.123,
"eval_steps_per_second": 8.562,
"step": 1081
},
{
"epoch": 6.0005138888888885,
"grad_norm": 49.54998779296875,
"learning_rate": 1.5236111111111112e-05,
"loss": 13.3452,
"step": 1100
},
{
"epoch": 6.003291666666667,
"grad_norm": 54.62944793701172,
"learning_rate": 1.6625e-05,
"loss": 11.953,
"step": 1200
},
{
"epoch": 6.004986111111111,
"eval_accuracy": 0.26627218934911245,
"eval_f1": 0.2220989336141275,
"eval_loss": 3.406508684158325,
"eval_precision": 0.26431351743742965,
"eval_recall": 0.26627218934911245,
"eval_runtime": 19.5936,
"eval_samples_per_second": 17.251,
"eval_steps_per_second": 8.625,
"step": 1261
},
{
"epoch": 7.0010625,
"grad_norm": 56.319576263427734,
"learning_rate": 1.8013888888888888e-05,
"loss": 11.0917,
"step": 1300
},
{
"epoch": 7.003840277777778,
"grad_norm": 54.84210205078125,
"learning_rate": 1.940277777777778e-05,
"loss": 9.8223,
"step": 1400
},
{
"epoch": 7.005006944444444,
"eval_accuracy": 0.33727810650887574,
"eval_f1": 0.29438573252416295,
"eval_loss": 3.103813886642456,
"eval_precision": 0.3283793047846302,
"eval_recall": 0.33727810650887574,
"eval_runtime": 20.1573,
"eval_samples_per_second": 16.768,
"eval_steps_per_second": 8.384,
"step": 1442
},
{
"epoch": 8.001611111111112,
"grad_norm": 51.06685256958008,
"learning_rate": 2.0791666666666666e-05,
"loss": 8.6714,
"step": 1500
},
{
"epoch": 8.004388888888888,
"grad_norm": 50.67875289916992,
"learning_rate": 2.2180555555555557e-05,
"loss": 7.8126,
"step": 1600
},
{
"epoch": 8.005,
"eval_accuracy": 0.41420118343195267,
"eval_f1": 0.3676157668761219,
"eval_loss": 2.7834277153015137,
"eval_precision": 0.42014839107599283,
"eval_recall": 0.41420118343195267,
"eval_runtime": 19.7317,
"eval_samples_per_second": 17.13,
"eval_steps_per_second": 8.565,
"step": 1622
},
{
"epoch": 9.002159722222222,
"grad_norm": 49.01296615600586,
"learning_rate": 2.3569444444444447e-05,
"loss": 6.4863,
"step": 1700
},
{
"epoch": 9.0049375,
"grad_norm": 47.182640075683594,
"learning_rate": 2.4958333333333335e-05,
"loss": 6.0952,
"step": 1800
},
{
"epoch": 9.004993055555556,
"eval_accuracy": 0.47633136094674555,
"eval_f1": 0.4368087369566659,
"eval_loss": 2.512887477874756,
"eval_precision": 0.4949564324564325,
"eval_recall": 0.47633136094674555,
"eval_runtime": 20.1068,
"eval_samples_per_second": 16.81,
"eval_steps_per_second": 8.405,
"step": 1802
},
{
"epoch": 10.002708333333333,
"grad_norm": 49.08199691772461,
"learning_rate": 2.6347222222222222e-05,
"loss": 4.3155,
"step": 1900
},
{
"epoch": 10.00498611111111,
"eval_accuracy": 0.5059171597633136,
"eval_f1": 0.48941789637055916,
"eval_loss": 2.2756905555725098,
"eval_precision": 0.5593944517021441,
"eval_recall": 0.5059171597633136,
"eval_runtime": 18.9167,
"eval_samples_per_second": 17.868,
"eval_steps_per_second": 8.934,
"step": 1982
},
{
"epoch": 11.000479166666667,
"grad_norm": 37.75128936767578,
"learning_rate": 2.7736111111111113e-05,
"loss": 4.3448,
"step": 2000
},
{
"epoch": 11.003256944444445,
"grad_norm": 36.987205505371094,
"learning_rate": 2.9111111111111112e-05,
"loss": 3.0214,
"step": 2100
},
{
"epoch": 11.005006944444444,
"eval_accuracy": 0.5473372781065089,
"eval_f1": 0.5177564874310436,
"eval_loss": 2.0459656715393066,
"eval_precision": 0.563966482235713,
"eval_recall": 0.5473372781065089,
"eval_runtime": 19.7866,
"eval_samples_per_second": 17.082,
"eval_steps_per_second": 8.541,
"step": 2163
},
{
"epoch": 12.001027777777777,
"grad_norm": 30.315874099731445,
"learning_rate": 3.05e-05,
"loss": 2.7849,
"step": 2200
},
{
"epoch": 12.003805555555555,
"grad_norm": 27.424291610717773,
"learning_rate": 3.188888888888889e-05,
"loss": 2.0687,
"step": 2300
},
{
"epoch": 12.005,
"eval_accuracy": 0.591715976331361,
"eval_f1": 0.5730650184792196,
"eval_loss": 1.8803057670593262,
"eval_precision": 0.6183537616229923,
"eval_recall": 0.591715976331361,
"eval_runtime": 19.466,
"eval_samples_per_second": 17.364,
"eval_steps_per_second": 8.682,
"step": 2343
},
{
"epoch": 13.00157638888889,
"grad_norm": 19.18665313720703,
"learning_rate": 3.327777777777778e-05,
"loss": 1.5252,
"step": 2400
},
{
"epoch": 13.004354166666667,
"grad_norm": 31.665971755981445,
"learning_rate": 3.466666666666667e-05,
"loss": 1.3523,
"step": 2500
},
{
"epoch": 13.004993055555556,
"eval_accuracy": 0.591715976331361,
"eval_f1": 0.5601332592456852,
"eval_loss": 1.7261461019515991,
"eval_precision": 0.6065053536207382,
"eval_recall": 0.591715976331361,
"eval_runtime": 19.273,
"eval_samples_per_second": 17.537,
"eval_steps_per_second": 8.769,
"step": 2523
},
{
"epoch": 14.002125,
"grad_norm": 10.98436450958252,
"learning_rate": 3.605555555555556e-05,
"loss": 0.9208,
"step": 2600
},
{
"epoch": 14.004902777777778,
"grad_norm": 45.65860366821289,
"learning_rate": 3.7444444444444446e-05,
"loss": 0.7828,
"step": 2700
},
{
"epoch": 14.00498611111111,
"eval_accuracy": 0.6035502958579881,
"eval_f1": 0.5923542762300159,
"eval_loss": 1.6275168657302856,
"eval_precision": 0.6644219028834413,
"eval_recall": 0.6035502958579881,
"eval_runtime": 19.479,
"eval_samples_per_second": 17.352,
"eval_steps_per_second": 8.676,
"step": 2703
},
{
"epoch": 15.002673611111112,
"grad_norm": 24.026081085205078,
"learning_rate": 3.883333333333333e-05,
"loss": 0.4222,
"step": 2800
},
{
"epoch": 15.005006944444444,
"eval_accuracy": 0.6420118343195266,
"eval_f1": 0.6244853437161129,
"eval_loss": 1.5283950567245483,
"eval_precision": 0.67558435154589,
"eval_recall": 0.6420118343195266,
"eval_runtime": 19.8172,
"eval_samples_per_second": 17.056,
"eval_steps_per_second": 8.528,
"step": 2884
},
{
"epoch": 16.000444444444444,
"grad_norm": 11.13332748413086,
"learning_rate": 4.022222222222222e-05,
"loss": 0.4752,
"step": 2900
},
{
"epoch": 16.003222222222224,
"grad_norm": 8.170760154724121,
"learning_rate": 4.1611111111111114e-05,
"loss": 0.3113,
"step": 3000
},
{
"epoch": 16.005,
"eval_accuracy": 0.6272189349112426,
"eval_f1": 0.6092443552502724,
"eval_loss": 1.5459295511245728,
"eval_precision": 0.6664412510566357,
"eval_recall": 0.6272189349112426,
"eval_runtime": 19.569,
"eval_samples_per_second": 17.272,
"eval_steps_per_second": 8.636,
"step": 3064
},
{
"epoch": 17.000993055555554,
"grad_norm": 1.5062611103057861,
"learning_rate": 4.3e-05,
"loss": 0.2905,
"step": 3100
},
{
"epoch": 17.003770833333334,
"grad_norm": 1.255529761314392,
"learning_rate": 4.438888888888889e-05,
"loss": 0.2021,
"step": 3200
},
{
"epoch": 17.004993055555556,
"eval_accuracy": 0.665680473372781,
"eval_f1": 0.6484432398633582,
"eval_loss": 1.4440850019454956,
"eval_precision": 0.6991018596787828,
"eval_recall": 0.665680473372781,
"eval_runtime": 20.6892,
"eval_samples_per_second": 16.337,
"eval_steps_per_second": 8.168,
"step": 3244
},
{
"epoch": 18.001541666666668,
"grad_norm": 2.2327980995178223,
"learning_rate": 4.577777777777778e-05,
"loss": 0.1544,
"step": 3300
},
{
"epoch": 18.004319444444445,
"grad_norm": 1.6391757726669312,
"learning_rate": 4.716666666666667e-05,
"loss": 0.1698,
"step": 3400
},
{
"epoch": 18.004986111111112,
"eval_accuracy": 0.6124260355029586,
"eval_f1": 0.5942196856398039,
"eval_loss": 1.5340176820755005,
"eval_precision": 0.6510575962499039,
"eval_recall": 0.6124260355029586,
"eval_runtime": 19.0949,
"eval_samples_per_second": 17.701,
"eval_steps_per_second": 8.851,
"step": 3424
},
{
"epoch": 19.00209027777778,
"grad_norm": 7.581464767456055,
"learning_rate": 4.855555555555556e-05,
"loss": 0.0791,
"step": 3500
},
{
"epoch": 19.004868055555555,
"grad_norm": 0.5042413473129272,
"learning_rate": 4.994444444444445e-05,
"loss": 0.1199,
"step": 3600
},
{
"epoch": 19.005006944444446,
"eval_accuracy": 0.650887573964497,
"eval_f1": 0.6288250211327134,
"eval_loss": 1.3934611082077026,
"eval_precision": 0.6745703014933784,
"eval_recall": 0.650887573964497,
"eval_runtime": 18.5254,
"eval_samples_per_second": 18.245,
"eval_steps_per_second": 9.123,
"step": 3605
},
{
"epoch": 20.00263888888889,
"grad_norm": 0.40117892622947693,
"learning_rate": 4.9851851851851855e-05,
"loss": 0.0244,
"step": 3700
},
{
"epoch": 20.005,
"eval_accuracy": 0.6686390532544378,
"eval_f1": 0.6573669919823766,
"eval_loss": 1.478171706199646,
"eval_precision": 0.7130459284305437,
"eval_recall": 0.6686390532544378,
"eval_runtime": 19.5864,
"eval_samples_per_second": 17.257,
"eval_steps_per_second": 8.628,
"step": 3785
},
{
"epoch": 21.000409722222223,
"grad_norm": 0.6385509967803955,
"learning_rate": 4.969753086419753e-05,
"loss": 0.1644,
"step": 3800
},
{
"epoch": 21.0031875,
"grad_norm": 0.36917442083358765,
"learning_rate": 4.954320987654321e-05,
"loss": 0.0407,
"step": 3900
},
{
"epoch": 21.004993055555556,
"eval_accuracy": 0.6686390532544378,
"eval_f1": 0.6557107422492038,
"eval_loss": 1.388999581336975,
"eval_precision": 0.7149478726401803,
"eval_recall": 0.6686390532544378,
"eval_runtime": 19.0631,
"eval_samples_per_second": 17.731,
"eval_steps_per_second": 8.865,
"step": 3965
},
{
"epoch": 22.000958333333333,
"grad_norm": 0.5856227874755859,
"learning_rate": 4.938888888888889e-05,
"loss": 0.1314,
"step": 4000
},
{
"epoch": 22.00373611111111,
"grad_norm": 0.7390286326408386,
"learning_rate": 4.923611111111112e-05,
"loss": 0.0719,
"step": 4100
},
{
"epoch": 22.004986111111112,
"eval_accuracy": 0.6597633136094675,
"eval_f1": 0.6477249246480016,
"eval_loss": 1.4896520376205444,
"eval_precision": 0.7189349112426036,
"eval_recall": 0.6597633136094675,
"eval_runtime": 19.4131,
"eval_samples_per_second": 17.411,
"eval_steps_per_second": 8.705,
"step": 4145
},
{
"epoch": 23.001506944444444,
"grad_norm": 0.09171107411384583,
"learning_rate": 4.9081790123456794e-05,
"loss": 0.1134,
"step": 4200
},
{
"epoch": 23.004284722222224,
"grad_norm": 27.191944122314453,
"learning_rate": 4.892746913580247e-05,
"loss": 0.1163,
"step": 4300
},
{
"epoch": 23.005006944444446,
"eval_accuracy": 0.6715976331360947,
"eval_f1": 0.6638741600280061,
"eval_loss": 1.3919016122817993,
"eval_precision": 0.7218300929839392,
"eval_recall": 0.6715976331360947,
"eval_runtime": 18.0114,
"eval_samples_per_second": 18.766,
"eval_steps_per_second": 9.383,
"step": 4326
},
{
"epoch": 24.002055555555554,
"grad_norm": 0.14431528747081757,
"learning_rate": 4.877314814814815e-05,
"loss": 0.061,
"step": 4400
},
{
"epoch": 24.004833333333334,
"grad_norm": 33.57377624511719,
"learning_rate": 4.861882716049383e-05,
"loss": 0.1167,
"step": 4500
},
{
"epoch": 24.005,
"eval_accuracy": 0.6538461538461539,
"eval_f1": 0.6379572761229566,
"eval_loss": 1.569033145904541,
"eval_precision": 0.7189384333615103,
"eval_recall": 0.6538461538461539,
"eval_runtime": 18.5212,
"eval_samples_per_second": 18.249,
"eval_steps_per_second": 9.125,
"step": 4506
},
{
"epoch": 25.002604166666668,
"grad_norm": 0.03929486870765686,
"learning_rate": 4.8464506172839505e-05,
"loss": 0.0366,
"step": 4600
},
{
"epoch": 25.004993055555556,
"eval_accuracy": 0.6745562130177515,
"eval_f1": 0.6541387606476363,
"eval_loss": 1.5032190084457397,
"eval_precision": 0.6978867286559595,
"eval_recall": 0.6745562130177515,
"eval_runtime": 18.3411,
"eval_samples_per_second": 18.429,
"eval_steps_per_second": 9.214,
"step": 4686
},
{
"epoch": 26.000375,
"grad_norm": 0.10611555725336075,
"learning_rate": 4.831018518518518e-05,
"loss": 0.1361,
"step": 4700
},
{
"epoch": 26.00315277777778,
"grad_norm": 1.335172176361084,
"learning_rate": 4.815586419753087e-05,
"loss": 0.1065,
"step": 4800
},
{
"epoch": 26.004986111111112,
"eval_accuracy": 0.6390532544378699,
"eval_f1": 0.6134555615324846,
"eval_loss": 1.4892995357513428,
"eval_precision": 0.6475309946463793,
"eval_recall": 0.6390532544378699,
"eval_runtime": 19.1889,
"eval_samples_per_second": 17.614,
"eval_steps_per_second": 8.807,
"step": 4866
},
{
"epoch": 27.000923611111112,
"grad_norm": 0.25120797753334045,
"learning_rate": 4.8001543209876545e-05,
"loss": 0.1148,
"step": 4900
},
{
"epoch": 27.00370138888889,
"grad_norm": 0.08281093835830688,
"learning_rate": 4.784722222222223e-05,
"loss": 0.0454,
"step": 5000
},
{
"epoch": 27.005006944444446,
"eval_accuracy": 0.6242603550295858,
"eval_f1": 0.6022126952600326,
"eval_loss": 1.5013433694839478,
"eval_precision": 0.6600591715976332,
"eval_recall": 0.6242603550295858,
"eval_runtime": 20.5193,
"eval_samples_per_second": 16.472,
"eval_steps_per_second": 8.236,
"step": 5047
},
{
"epoch": 28.001472222222223,
"grad_norm": 0.05560300499200821,
"learning_rate": 4.769290123456791e-05,
"loss": 0.0973,
"step": 5100
},
{
"epoch": 28.00425,
"grad_norm": 1.4039995670318604,
"learning_rate": 4.7538580246913585e-05,
"loss": 0.0844,
"step": 5200
},
{
"epoch": 28.005,
"eval_accuracy": 0.6597633136094675,
"eval_f1": 0.6388020099558561,
"eval_loss": 1.5608867406845093,
"eval_precision": 0.6974077204846435,
"eval_recall": 0.6597633136094675,
"eval_runtime": 20.1446,
"eval_samples_per_second": 16.779,
"eval_steps_per_second": 8.389,
"step": 5227
},
{
"epoch": 29.002020833333333,
"grad_norm": 0.056026242673397064,
"learning_rate": 4.738425925925926e-05,
"loss": 0.0921,
"step": 5300
},
{
"epoch": 29.00479861111111,
"grad_norm": 0.39889276027679443,
"learning_rate": 4.722993827160494e-05,
"loss": 0.109,
"step": 5400
},
{
"epoch": 29.004993055555556,
"eval_accuracy": 0.665680473372781,
"eval_f1": 0.6506595311329039,
"eval_loss": 1.4839813709259033,
"eval_precision": 0.7151002843310535,
"eval_recall": 0.665680473372781,
"eval_runtime": 18.7473,
"eval_samples_per_second": 18.029,
"eval_steps_per_second": 9.015,
"step": 5407
},
{
"epoch": 30.002569444444443,
"grad_norm": 0.05277135968208313,
"learning_rate": 4.707561728395062e-05,
"loss": 0.1508,
"step": 5500
},
{
"epoch": 30.004986111111112,
"eval_accuracy": 0.6035502958579881,
"eval_f1": 0.590259690999336,
"eval_loss": 1.801746129989624,
"eval_precision": 0.6784164553395322,
"eval_recall": 0.6035502958579881,
"eval_runtime": 17.6073,
"eval_samples_per_second": 19.197,
"eval_steps_per_second": 9.598,
"step": 5587
},
{
"epoch": 31.000340277777777,
"grad_norm": 0.6189529895782471,
"learning_rate": 4.6921296296296296e-05,
"loss": 0.0796,
"step": 5600
},
{
"epoch": 31.003118055555557,
"grad_norm": 0.06006496772170067,
"learning_rate": 4.676697530864197e-05,
"loss": 0.1114,
"step": 5700
},
{
"epoch": 31.005006944444446,
"eval_accuracy": 0.6390532544378699,
"eval_f1": 0.613423755731448,
"eval_loss": 1.6675891876220703,
"eval_precision": 0.6721329952099183,
"eval_recall": 0.6390532544378699,
"eval_runtime": 17.8113,
"eval_samples_per_second": 18.977,
"eval_steps_per_second": 9.488,
"step": 5768
},
{
"epoch": 32.00088888888889,
"grad_norm": 0.04244798794388771,
"learning_rate": 4.661265432098766e-05,
"loss": 0.1236,
"step": 5800
},
{
"epoch": 32.00366666666667,
"grad_norm": 0.24667857587337494,
"learning_rate": 4.6458333333333335e-05,
"loss": 0.0931,
"step": 5900
},
{
"epoch": 32.005,
"eval_accuracy": 0.6745562130177515,
"eval_f1": 0.6520330097253173,
"eval_loss": 1.534504771232605,
"eval_precision": 0.7082065370526909,
"eval_recall": 0.6745562130177515,
"eval_runtime": 16.9203,
"eval_samples_per_second": 19.976,
"eval_steps_per_second": 9.988,
"step": 5948
},
{
"epoch": 33.0014375,
"grad_norm": 0.04040142521262169,
"learning_rate": 4.630401234567901e-05,
"loss": 0.0767,
"step": 6000
},
{
"epoch": 33.004215277777774,
"grad_norm": 0.18193276226520538,
"learning_rate": 4.614969135802469e-05,
"loss": 0.0619,
"step": 6100
},
{
"epoch": 33.00499305555556,
"eval_accuracy": 0.6301775147928994,
"eval_f1": 0.6008137161983316,
"eval_loss": 1.746155858039856,
"eval_precision": 0.6424168779938011,
"eval_recall": 0.6301775147928994,
"eval_runtime": 18.9428,
"eval_samples_per_second": 17.843,
"eval_steps_per_second": 8.922,
"step": 6128
},
{
"epoch": 34.00198611111111,
"grad_norm": 0.009634270332753658,
"learning_rate": 4.599691358024691e-05,
"loss": 0.1314,
"step": 6200
},
{
"epoch": 34.00476388888889,
"grad_norm": 0.21367499232292175,
"learning_rate": 4.584259259259259e-05,
"loss": 0.2698,
"step": 6300
},
{
"epoch": 34.00498611111111,
"eval_accuracy": 0.6331360946745562,
"eval_f1": 0.6126230606999838,
"eval_loss": 1.7031519412994385,
"eval_precision": 0.6710693153000845,
"eval_recall": 0.6331360946745562,
"eval_runtime": 19.9792,
"eval_samples_per_second": 16.918,
"eval_steps_per_second": 8.459,
"step": 6308
},
{
"epoch": 35.00253472222222,
"grad_norm": 0.03326309099793434,
"learning_rate": 4.5688271604938275e-05,
"loss": 0.1108,
"step": 6400
},
{
"epoch": 35.005006944444446,
"eval_accuracy": 0.6538461538461539,
"eval_f1": 0.62648739111679,
"eval_loss": 1.7694625854492188,
"eval_precision": 0.6784205193228862,
"eval_recall": 0.6538461538461539,
"eval_runtime": 18.3538,
"eval_samples_per_second": 18.416,
"eval_steps_per_second": 9.208,
"step": 6489
},
{
"epoch": 36.000305555555556,
"grad_norm": 104.1079330444336,
"learning_rate": 4.553395061728395e-05,
"loss": 0.1261,
"step": 6500
},
{
"epoch": 36.003083333333336,
"grad_norm": 0.1133200004696846,
"learning_rate": 4.537962962962963e-05,
"loss": 0.1006,
"step": 6600
},
{
"epoch": 36.005,
"eval_accuracy": 0.5828402366863905,
"eval_f1": 0.5661115757104835,
"eval_loss": 2.018780469894409,
"eval_precision": 0.6289293300387975,
"eval_recall": 0.5828402366863905,
"eval_runtime": 17.6731,
"eval_samples_per_second": 19.125,
"eval_steps_per_second": 9.563,
"step": 6669
},
{
"epoch": 37.00085416666667,
"grad_norm": 0.024959033355116844,
"learning_rate": 4.5225308641975314e-05,
"loss": 0.1183,
"step": 6700
},
{
"epoch": 37.00363194444444,
"grad_norm": 0.09667906910181046,
"learning_rate": 4.507098765432099e-05,
"loss": 0.0823,
"step": 6800
},
{
"epoch": 37.00499305555556,
"eval_accuracy": 0.6568047337278107,
"eval_f1": 0.6425439452066671,
"eval_loss": 1.6487033367156982,
"eval_precision": 0.6874260355029587,
"eval_recall": 0.6568047337278107,
"eval_runtime": 20.3974,
"eval_samples_per_second": 16.571,
"eval_steps_per_second": 8.285,
"step": 6849
},
{
"epoch": 38.00140277777778,
"grad_norm": 0.025008585304021835,
"learning_rate": 4.491666666666667e-05,
"loss": 0.1114,
"step": 6900
},
{
"epoch": 38.00418055555556,
"grad_norm": 3.3624982833862305,
"learning_rate": 4.476234567901235e-05,
"loss": 0.0632,
"step": 7000
},
{
"epoch": 38.00498611111111,
"eval_accuracy": 0.636094674556213,
"eval_f1": 0.6253254280582216,
"eval_loss": 1.8013869524002075,
"eval_precision": 0.691735347985348,
"eval_recall": 0.636094674556213,
"eval_runtime": 18.4919,
"eval_samples_per_second": 18.278,
"eval_steps_per_second": 9.139,
"step": 7029
},
{
"epoch": 39.00195138888889,
"grad_norm": 0.028111210092902184,
"learning_rate": 4.4608024691358025e-05,
"loss": 0.0691,
"step": 7100
},
{
"epoch": 39.004729166666664,
"grad_norm": 0.022145342081785202,
"learning_rate": 4.445370370370371e-05,
"loss": 0.1162,
"step": 7200
},
{
"epoch": 39.005006944444446,
"eval_accuracy": 0.6449704142011834,
"eval_f1": 0.6195841797912803,
"eval_loss": 1.67414128780365,
"eval_precision": 0.6671691556306941,
"eval_recall": 0.6449704142011834,
"eval_runtime": 19.1991,
"eval_samples_per_second": 17.605,
"eval_steps_per_second": 8.802,
"step": 7210
},
{
"epoch": 40.0025,
"grad_norm": 0.012291846796870232,
"learning_rate": 4.429938271604939e-05,
"loss": 0.0846,
"step": 7300
},
{
"epoch": 40.005,
"eval_accuracy": 0.636094674556213,
"eval_f1": 0.6205015070399685,
"eval_loss": 1.8031796216964722,
"eval_precision": 0.6948467692900892,
"eval_recall": 0.636094674556213,
"eval_runtime": 19.3607,
"eval_samples_per_second": 17.458,
"eval_steps_per_second": 8.729,
"step": 7390
},
{
"epoch": 41.00027083333333,
"grad_norm": 0.45003169775009155,
"learning_rate": 4.4145061728395065e-05,
"loss": 0.146,
"step": 7400
},
{
"epoch": 41.00304861111111,
"grad_norm": 4.705352306365967,
"learning_rate": 4.399074074074074e-05,
"loss": 0.1528,
"step": 7500
},
{
"epoch": 41.00499305555556,
"eval_accuracy": 0.6331360946745562,
"eval_f1": 0.6101778563317025,
"eval_loss": 1.8375493288040161,
"eval_precision": 0.673196675119752,
"eval_recall": 0.6331360946745562,
"eval_runtime": 17.7659,
"eval_samples_per_second": 19.025,
"eval_steps_per_second": 9.513,
"step": 7570
},
{
"epoch": 42.000819444444446,
"grad_norm": 94.2012939453125,
"learning_rate": 4.383641975308642e-05,
"loss": 0.1548,
"step": 7600
},
{
"epoch": 42.003597222222226,
"grad_norm": 0.008578118868172169,
"learning_rate": 4.36820987654321e-05,
"loss": 0.0695,
"step": 7700
},
{
"epoch": 42.00498611111111,
"eval_accuracy": 0.6568047337278107,
"eval_f1": 0.6417349744272821,
"eval_loss": 1.672219157218933,
"eval_precision": 0.7030008453085377,
"eval_recall": 0.6568047337278107,
"eval_runtime": 18.0993,
"eval_samples_per_second": 18.675,
"eval_steps_per_second": 9.337,
"step": 7750
},
{
"epoch": 43.00136805555555,
"grad_norm": 0.005858391989022493,
"learning_rate": 4.3527777777777776e-05,
"loss": 0.0513,
"step": 7800
},
{
"epoch": 43.00414583333333,
"grad_norm": 0.24502906203269958,
"learning_rate": 4.3375000000000004e-05,
"loss": 0.1516,
"step": 7900
},
{
"epoch": 43.005006944444446,
"eval_accuracy": 0.6715976331360947,
"eval_f1": 0.6494567398413551,
"eval_loss": 1.7810900211334229,
"eval_precision": 0.7009087066779375,
"eval_recall": 0.6715976331360947,
"eval_runtime": 18.6526,
"eval_samples_per_second": 18.121,
"eval_steps_per_second": 9.06,
"step": 7931
},
{
"epoch": 44.001916666666666,
"grad_norm": 0.023847075179219246,
"learning_rate": 4.322067901234568e-05,
"loss": 0.1172,
"step": 8000
},
{
"epoch": 44.004694444444446,
"grad_norm": 0.1472051441669464,
"learning_rate": 4.306635802469136e-05,
"loss": 0.1565,
"step": 8100
},
{
"epoch": 44.005,
"eval_accuracy": 0.6538461538461539,
"eval_f1": 0.6346678469459534,
"eval_loss": 1.8077248334884644,
"eval_precision": 0.6883840518455903,
"eval_recall": 0.6538461538461539,
"eval_runtime": 18.0276,
"eval_samples_per_second": 18.749,
"eval_steps_per_second": 9.375,
"step": 8111
},
{
"epoch": 45.00246527777778,
"grad_norm": 0.013580802828073502,
"learning_rate": 4.291203703703704e-05,
"loss": 0.0728,
"step": 8200
},
{
"epoch": 45.00499305555556,
"eval_accuracy": 0.6272189349112426,
"eval_f1": 0.604730419153496,
"eval_loss": 1.7950366735458374,
"eval_precision": 0.6755196480048551,
"eval_recall": 0.6272189349112426,
"eval_runtime": 18.0454,
"eval_samples_per_second": 18.731,
"eval_steps_per_second": 9.365,
"step": 8291
},
{
"epoch": 45.00499305555556,
"step": 8291,
"total_flos": 1.700902027656954e+20,
"train_loss": 3.3378389804185824,
"train_runtime": 8591.5525,
"train_samples_per_second": 33.521,
"train_steps_per_second": 4.19
}
],
"logging_steps": 100,
"max_steps": 36000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 20,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 20
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.700902027656954e+20,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}