|
{ |
|
"best_metric": 0.8656427264213562, |
|
"best_model_checkpoint": "data/Llama-31-8B_task-1_120-samples_config-1_full/checkpoint-77", |
|
"epoch": 14.0, |
|
"eval_steps": 500, |
|
"global_step": 154, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09090909090909091, |
|
"grad_norm": 2.0200283527374268, |
|
"learning_rate": 1.818181818181818e-06, |
|
"loss": 2.4844, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.18181818181818182, |
|
"grad_norm": 1.8869131803512573, |
|
"learning_rate": 3.636363636363636e-06, |
|
"loss": 2.5082, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.36363636363636365, |
|
"grad_norm": 1.758622169494629, |
|
"learning_rate": 7.272727272727272e-06, |
|
"loss": 2.5059, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.5454545454545454, |
|
"grad_norm": 1.6956913471221924, |
|
"learning_rate": 1.0909090909090909e-05, |
|
"loss": 2.4567, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.7272727272727273, |
|
"grad_norm": 1.5868192911148071, |
|
"learning_rate": 1.4545454545454545e-05, |
|
"loss": 2.3684, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.9090909090909091, |
|
"grad_norm": 1.787414312362671, |
|
"learning_rate": 1.8181818181818182e-05, |
|
"loss": 2.3371, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 2.238572835922241, |
|
"eval_runtime": 9.6136, |
|
"eval_samples_per_second": 2.496, |
|
"eval_steps_per_second": 2.496, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 1.0909090909090908, |
|
"grad_norm": 1.3648227453231812, |
|
"learning_rate": 2.1818181818181818e-05, |
|
"loss": 2.2684, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 1.2727272727272727, |
|
"grad_norm": 1.2888587713241577, |
|
"learning_rate": 2.5454545454545454e-05, |
|
"loss": 2.2457, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 1.4545454545454546, |
|
"grad_norm": 1.0789052248001099, |
|
"learning_rate": 2.909090909090909e-05, |
|
"loss": 2.0599, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 1.6363636363636362, |
|
"grad_norm": 1.7428549528121948, |
|
"learning_rate": 3.272727272727273e-05, |
|
"loss": 2.0556, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 1.8181818181818183, |
|
"grad_norm": 0.905511736869812, |
|
"learning_rate": 3.6363636363636364e-05, |
|
"loss": 1.919, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.7128010988235474, |
|
"learning_rate": 4e-05, |
|
"loss": 1.7745, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 1.7576960325241089, |
|
"eval_runtime": 9.615, |
|
"eval_samples_per_second": 2.496, |
|
"eval_steps_per_second": 2.496, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.1818181818181817, |
|
"grad_norm": 0.8917616605758667, |
|
"learning_rate": 4.3636363636363636e-05, |
|
"loss": 1.6951, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 2.3636363636363638, |
|
"grad_norm": 0.9202045798301697, |
|
"learning_rate": 4.7272727272727275e-05, |
|
"loss": 1.6476, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 2.5454545454545454, |
|
"grad_norm": 1.1835784912109375, |
|
"learning_rate": 5.090909090909091e-05, |
|
"loss": 1.4571, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 2.7272727272727275, |
|
"grad_norm": 1.0429062843322754, |
|
"learning_rate": 5.4545454545454546e-05, |
|
"loss": 1.3454, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 2.909090909090909, |
|
"grad_norm": 0.8713496327400208, |
|
"learning_rate": 5.818181818181818e-05, |
|
"loss": 1.2294, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 1.1298459768295288, |
|
"eval_runtime": 9.6241, |
|
"eval_samples_per_second": 2.494, |
|
"eval_steps_per_second": 2.494, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 3.090909090909091, |
|
"grad_norm": 0.6041619777679443, |
|
"learning_rate": 6.181818181818182e-05, |
|
"loss": 1.1845, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 3.2727272727272725, |
|
"grad_norm": 0.5593976974487305, |
|
"learning_rate": 6.545454545454546e-05, |
|
"loss": 1.0476, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 3.4545454545454546, |
|
"grad_norm": 0.5526394248008728, |
|
"learning_rate": 6.90909090909091e-05, |
|
"loss": 0.989, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 3.6363636363636362, |
|
"grad_norm": 0.49133172631263733, |
|
"learning_rate": 7.272727272727273e-05, |
|
"loss": 1.0105, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 3.8181818181818183, |
|
"grad_norm": 0.5152122378349304, |
|
"learning_rate": 7.636363636363637e-05, |
|
"loss": 1.0186, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.4263210594654083, |
|
"learning_rate": 8e-05, |
|
"loss": 0.9781, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.9825031757354736, |
|
"eval_runtime": 9.6255, |
|
"eval_samples_per_second": 2.493, |
|
"eval_steps_per_second": 2.493, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 4.181818181818182, |
|
"grad_norm": 0.4594288170337677, |
|
"learning_rate": 8.363636363636364e-05, |
|
"loss": 0.9387, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 4.363636363636363, |
|
"grad_norm": 0.5193449854850769, |
|
"learning_rate": 8.727272727272727e-05, |
|
"loss": 0.9481, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 4.545454545454545, |
|
"grad_norm": 0.5140848159790039, |
|
"learning_rate": 9.090909090909092e-05, |
|
"loss": 0.932, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 4.7272727272727275, |
|
"grad_norm": 0.4637601673603058, |
|
"learning_rate": 9.454545454545455e-05, |
|
"loss": 0.9293, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 4.909090909090909, |
|
"grad_norm": 0.5280166864395142, |
|
"learning_rate": 9.818181818181818e-05, |
|
"loss": 0.8705, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 0.9252349734306335, |
|
"eval_runtime": 9.6225, |
|
"eval_samples_per_second": 2.494, |
|
"eval_steps_per_second": 2.494, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 5.090909090909091, |
|
"grad_norm": 0.5434139370918274, |
|
"learning_rate": 9.999899300364532e-05, |
|
"loss": 0.8527, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 5.2727272727272725, |
|
"grad_norm": 0.5284571647644043, |
|
"learning_rate": 9.99909372761763e-05, |
|
"loss": 0.8431, |
|
"step": 58 |
|
}, |
|
{ |
|
"epoch": 5.454545454545454, |
|
"grad_norm": 0.5927901268005371, |
|
"learning_rate": 9.997482711915927e-05, |
|
"loss": 0.7975, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 5.636363636363637, |
|
"grad_norm": 0.622176468372345, |
|
"learning_rate": 9.99506651282272e-05, |
|
"loss": 0.8844, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 5.818181818181818, |
|
"grad_norm": 0.7427988648414612, |
|
"learning_rate": 9.991845519630678e-05, |
|
"loss": 0.7823, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.7913317084312439, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 0.8269, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_loss": 0.884376049041748, |
|
"eval_runtime": 9.6171, |
|
"eval_samples_per_second": 2.496, |
|
"eval_steps_per_second": 2.496, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 6.181818181818182, |
|
"grad_norm": 0.7040154337882996, |
|
"learning_rate": 9.982991356370404e-05, |
|
"loss": 0.7398, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 6.363636363636363, |
|
"grad_norm": 0.7483051419258118, |
|
"learning_rate": 9.977359612865423e-05, |
|
"loss": 0.7724, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 6.545454545454545, |
|
"grad_norm": 0.5491539239883423, |
|
"learning_rate": 9.970925928158274e-05, |
|
"loss": 0.7608, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 6.7272727272727275, |
|
"grad_norm": 0.6535021066665649, |
|
"learning_rate": 9.963691338830044e-05, |
|
"loss": 0.7548, |
|
"step": 74 |
|
}, |
|
{ |
|
"epoch": 6.909090909090909, |
|
"grad_norm": 0.686294436454773, |
|
"learning_rate": 9.955657010501806e-05, |
|
"loss": 0.6627, |
|
"step": 76 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_loss": 0.8656427264213562, |
|
"eval_runtime": 9.62, |
|
"eval_samples_per_second": 2.495, |
|
"eval_steps_per_second": 2.495, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 7.090909090909091, |
|
"grad_norm": 0.6294690370559692, |
|
"learning_rate": 9.946824237646824e-05, |
|
"loss": 0.6067, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 7.2727272727272725, |
|
"grad_norm": 0.732207179069519, |
|
"learning_rate": 9.937194443381972e-05, |
|
"loss": 0.6866, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 7.454545454545454, |
|
"grad_norm": 0.6583709716796875, |
|
"learning_rate": 9.926769179238466e-05, |
|
"loss": 0.5795, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 7.636363636363637, |
|
"grad_norm": 0.6547601222991943, |
|
"learning_rate": 9.915550124911866e-05, |
|
"loss": 0.5979, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 7.818181818181818, |
|
"grad_norm": 0.6767302751541138, |
|
"learning_rate": 9.903539087991462e-05, |
|
"loss": 0.6686, |
|
"step": 86 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 0.8115944862365723, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 0.6053, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_loss": 0.868882417678833, |
|
"eval_runtime": 9.6154, |
|
"eval_samples_per_second": 2.496, |
|
"eval_steps_per_second": 2.496, |
|
"step": 88 |
|
}, |
|
{ |
|
"epoch": 8.181818181818182, |
|
"grad_norm": 0.7251437902450562, |
|
"learning_rate": 9.877148934427037e-05, |
|
"loss": 0.5444, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 8.363636363636363, |
|
"grad_norm": 0.9013553261756897, |
|
"learning_rate": 9.862774069706346e-05, |
|
"loss": 0.5037, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 8.545454545454545, |
|
"grad_norm": 0.9543907046318054, |
|
"learning_rate": 9.847615725553456e-05, |
|
"loss": 0.4884, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 8.727272727272727, |
|
"grad_norm": 0.8602244853973389, |
|
"learning_rate": 9.831676344247342e-05, |
|
"loss": 0.4928, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 8.909090909090908, |
|
"grad_norm": 0.9116283059120178, |
|
"learning_rate": 9.814958493905963e-05, |
|
"loss": 0.5258, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_loss": 0.930729866027832, |
|
"eval_runtime": 9.6169, |
|
"eval_samples_per_second": 2.496, |
|
"eval_steps_per_second": 2.496, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 9.090909090909092, |
|
"grad_norm": 0.8587744832038879, |
|
"learning_rate": 9.797464868072488e-05, |
|
"loss": 0.4467, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 9.272727272727273, |
|
"grad_norm": 1.011325478553772, |
|
"learning_rate": 9.779198285281325e-05, |
|
"loss": 0.3718, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 9.454545454545455, |
|
"grad_norm": 1.561611294746399, |
|
"learning_rate": 9.760161688604008e-05, |
|
"loss": 0.411, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 9.636363636363637, |
|
"grad_norm": 1.0310885906219482, |
|
"learning_rate": 9.740358145174998e-05, |
|
"loss": 0.3617, |
|
"step": 106 |
|
}, |
|
{ |
|
"epoch": 9.818181818181818, |
|
"grad_norm": 0.9703785181045532, |
|
"learning_rate": 9.719790845697533e-05, |
|
"loss": 0.3618, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 1.0072264671325684, |
|
"learning_rate": 9.698463103929542e-05, |
|
"loss": 0.3668, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_loss": 1.0742104053497314, |
|
"eval_runtime": 9.6189, |
|
"eval_samples_per_second": 2.495, |
|
"eval_steps_per_second": 2.495, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 10.181818181818182, |
|
"grad_norm": 1.1375013589859009, |
|
"learning_rate": 9.676378356149734e-05, |
|
"loss": 0.2664, |
|
"step": 112 |
|
}, |
|
{ |
|
"epoch": 10.363636363636363, |
|
"grad_norm": 1.377677083015442, |
|
"learning_rate": 9.653540160603956e-05, |
|
"loss": 0.2831, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 10.545454545454545, |
|
"grad_norm": 1.225994348526001, |
|
"learning_rate": 9.629952196931901e-05, |
|
"loss": 0.2456, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 10.727272727272727, |
|
"grad_norm": 1.329970359802246, |
|
"learning_rate": 9.60561826557425e-05, |
|
"loss": 0.2814, |
|
"step": 118 |
|
}, |
|
{ |
|
"epoch": 10.909090909090908, |
|
"grad_norm": 1.3457225561141968, |
|
"learning_rate": 9.580542287160348e-05, |
|
"loss": 0.248, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_loss": 1.2238476276397705, |
|
"eval_runtime": 9.624, |
|
"eval_samples_per_second": 2.494, |
|
"eval_steps_per_second": 2.494, |
|
"step": 121 |
|
}, |
|
{ |
|
"epoch": 11.090909090909092, |
|
"grad_norm": 1.0499111413955688, |
|
"learning_rate": 9.554728301876526e-05, |
|
"loss": 0.1828, |
|
"step": 122 |
|
}, |
|
{ |
|
"epoch": 11.272727272727273, |
|
"grad_norm": 1.2574657201766968, |
|
"learning_rate": 9.528180468815155e-05, |
|
"loss": 0.1455, |
|
"step": 124 |
|
}, |
|
{ |
|
"epoch": 11.454545454545455, |
|
"grad_norm": 1.8661640882492065, |
|
"learning_rate": 9.50090306530454e-05, |
|
"loss": 0.1843, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 11.636363636363637, |
|
"grad_norm": 1.4496153593063354, |
|
"learning_rate": 9.472900486219769e-05, |
|
"loss": 0.181, |
|
"step": 128 |
|
}, |
|
{ |
|
"epoch": 11.818181818181818, |
|
"grad_norm": 1.520456075668335, |
|
"learning_rate": 9.444177243274618e-05, |
|
"loss": 0.1556, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"grad_norm": 1.3242138624191284, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.2039, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_loss": 1.3416190147399902, |
|
"eval_runtime": 9.6192, |
|
"eval_samples_per_second": 2.495, |
|
"eval_steps_per_second": 2.495, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 12.181818181818182, |
|
"grad_norm": 1.0514355897903442, |
|
"learning_rate": 9.384587392471515e-05, |
|
"loss": 0.1147, |
|
"step": 134 |
|
}, |
|
{ |
|
"epoch": 12.363636363636363, |
|
"grad_norm": 1.0401465892791748, |
|
"learning_rate": 9.353730385598887e-05, |
|
"loss": 0.1134, |
|
"step": 136 |
|
}, |
|
{ |
|
"epoch": 12.545454545454545, |
|
"grad_norm": 1.2559245824813843, |
|
"learning_rate": 9.322171915289635e-05, |
|
"loss": 0.1241, |
|
"step": 138 |
|
}, |
|
{ |
|
"epoch": 12.727272727272727, |
|
"grad_norm": 1.3274048566818237, |
|
"learning_rate": 9.289917066174886e-05, |
|
"loss": 0.1263, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 12.909090909090908, |
|
"grad_norm": 1.2401025295257568, |
|
"learning_rate": 9.256971035084785e-05, |
|
"loss": 0.1357, |
|
"step": 142 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_loss": 1.4582844972610474, |
|
"eval_runtime": 9.6219, |
|
"eval_samples_per_second": 2.494, |
|
"eval_steps_per_second": 2.494, |
|
"step": 143 |
|
}, |
|
{ |
|
"epoch": 13.090909090909092, |
|
"grad_norm": 1.0610545873641968, |
|
"learning_rate": 9.223339130211192e-05, |
|
"loss": 0.0999, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 13.272727272727273, |
|
"grad_norm": 1.0816364288330078, |
|
"learning_rate": 9.189026770252436e-05, |
|
"loss": 0.0877, |
|
"step": 146 |
|
}, |
|
{ |
|
"epoch": 13.454545454545455, |
|
"grad_norm": 0.9884896874427795, |
|
"learning_rate": 9.154039483540273e-05, |
|
"loss": 0.0952, |
|
"step": 148 |
|
}, |
|
{ |
|
"epoch": 13.636363636363637, |
|
"grad_norm": 1.4226878881454468, |
|
"learning_rate": 9.118382907149165e-05, |
|
"loss": 0.0921, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 13.818181818181818, |
|
"grad_norm": 1.2806740999221802, |
|
"learning_rate": 9.082062785988049e-05, |
|
"loss": 0.0858, |
|
"step": 152 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"grad_norm": 1.4139348268508911, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 0.1016, |
|
"step": 154 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_loss": 1.5564292669296265, |
|
"eval_runtime": 9.6208, |
|
"eval_samples_per_second": 2.495, |
|
"eval_steps_per_second": 2.495, |
|
"step": 154 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"step": 154, |
|
"total_flos": 1.8910971254800384e+16, |
|
"train_loss": 0.8254564341593098, |
|
"train_runtime": 1444.0259, |
|
"train_samples_per_second": 3.047, |
|
"train_steps_per_second": 0.381 |
|
} |
|
], |
|
"logging_steps": 2, |
|
"max_steps": 550, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 25, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 7, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 0 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.8910971254800384e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|