GaetanMichelet's picture
Model save
0461047 verified
{
"best_metric": 0.7138778567314148,
"best_model_checkpoint": "data/Llama-31-8B_task-2_120-samples_config-3/checkpoint-242",
"epoch": 29.0,
"eval_steps": 500,
"global_step": 319,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.09090909090909091,
"grad_norm": 0.7728238701820374,
"learning_rate": 6.060606060606061e-08,
"loss": 1.102,
"step": 1
},
{
"epoch": 0.18181818181818182,
"grad_norm": 0.8360726237297058,
"learning_rate": 1.2121212121212122e-07,
"loss": 1.2412,
"step": 2
},
{
"epoch": 0.36363636363636365,
"grad_norm": 0.6940823793411255,
"learning_rate": 2.4242424242424244e-07,
"loss": 1.0332,
"step": 4
},
{
"epoch": 0.5454545454545454,
"grad_norm": 0.7341020107269287,
"learning_rate": 3.6363636363636366e-07,
"loss": 1.1054,
"step": 6
},
{
"epoch": 0.7272727272727273,
"grad_norm": 0.8064824938774109,
"learning_rate": 4.848484848484849e-07,
"loss": 1.2037,
"step": 8
},
{
"epoch": 0.9090909090909091,
"grad_norm": 0.7021966576576233,
"learning_rate": 6.060606060606061e-07,
"loss": 1.0459,
"step": 10
},
{
"epoch": 1.0,
"eval_loss": 1.122668743133545,
"eval_runtime": 24.349,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 11
},
{
"epoch": 1.0909090909090908,
"grad_norm": 0.7579166293144226,
"learning_rate": 7.272727272727273e-07,
"loss": 1.0994,
"step": 12
},
{
"epoch": 1.2727272727272727,
"grad_norm": 0.6994158029556274,
"learning_rate": 8.484848484848486e-07,
"loss": 1.1056,
"step": 14
},
{
"epoch": 1.4545454545454546,
"grad_norm": 0.698021650314331,
"learning_rate": 9.696969696969698e-07,
"loss": 1.1576,
"step": 16
},
{
"epoch": 1.6363636363636362,
"grad_norm": 0.7830127477645874,
"learning_rate": 1.090909090909091e-06,
"loss": 1.1701,
"step": 18
},
{
"epoch": 1.8181818181818183,
"grad_norm": 0.749530553817749,
"learning_rate": 1.2121212121212122e-06,
"loss": 1.0871,
"step": 20
},
{
"epoch": 2.0,
"grad_norm": 0.6776620149612427,
"learning_rate": 1.3333333333333334e-06,
"loss": 1.0223,
"step": 22
},
{
"epoch": 2.0,
"eval_loss": 1.1149355173110962,
"eval_runtime": 24.3485,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 22
},
{
"epoch": 2.1818181818181817,
"grad_norm": 0.6116415858268738,
"learning_rate": 1.4545454545454546e-06,
"loss": 1.0642,
"step": 24
},
{
"epoch": 2.3636363636363638,
"grad_norm": 0.7151461839675903,
"learning_rate": 1.5757575757575759e-06,
"loss": 1.1885,
"step": 26
},
{
"epoch": 2.5454545454545454,
"grad_norm": 0.7120382785797119,
"learning_rate": 1.6969696969696973e-06,
"loss": 1.0927,
"step": 28
},
{
"epoch": 2.7272727272727275,
"grad_norm": 0.6961694955825806,
"learning_rate": 1.8181818181818183e-06,
"loss": 1.0392,
"step": 30
},
{
"epoch": 2.909090909090909,
"grad_norm": 0.8099948167800903,
"learning_rate": 1.9393939393939395e-06,
"loss": 1.0795,
"step": 32
},
{
"epoch": 3.0,
"eval_loss": 1.1017646789550781,
"eval_runtime": 24.3583,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 33
},
{
"epoch": 3.090909090909091,
"grad_norm": 0.7341113686561584,
"learning_rate": 2.0606060606060607e-06,
"loss": 1.1445,
"step": 34
},
{
"epoch": 3.2727272727272725,
"grad_norm": 0.7002806067466736,
"learning_rate": 2.181818181818182e-06,
"loss": 1.0858,
"step": 36
},
{
"epoch": 3.4545454545454546,
"grad_norm": 0.7403613328933716,
"learning_rate": 2.303030303030303e-06,
"loss": 1.0768,
"step": 38
},
{
"epoch": 3.6363636363636362,
"grad_norm": 0.7391121983528137,
"learning_rate": 2.4242424242424244e-06,
"loss": 1.035,
"step": 40
},
{
"epoch": 3.8181818181818183,
"grad_norm": 0.790711522102356,
"learning_rate": 2.5454545454545456e-06,
"loss": 1.1519,
"step": 42
},
{
"epoch": 4.0,
"grad_norm": 0.633929967880249,
"learning_rate": 2.666666666666667e-06,
"loss": 0.9982,
"step": 44
},
{
"epoch": 4.0,
"eval_loss": 1.078678011894226,
"eval_runtime": 24.3517,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 44
},
{
"epoch": 4.181818181818182,
"grad_norm": 0.7980412840843201,
"learning_rate": 2.7878787878787885e-06,
"loss": 1.1463,
"step": 46
},
{
"epoch": 4.363636363636363,
"grad_norm": 0.7583560347557068,
"learning_rate": 2.9090909090909093e-06,
"loss": 1.0093,
"step": 48
},
{
"epoch": 4.545454545454545,
"grad_norm": 0.7219624519348145,
"learning_rate": 3.0303030303030305e-06,
"loss": 1.0371,
"step": 50
},
{
"epoch": 4.7272727272727275,
"grad_norm": 0.7923340797424316,
"learning_rate": 3.1515151515151517e-06,
"loss": 1.1243,
"step": 52
},
{
"epoch": 4.909090909090909,
"grad_norm": 0.6717983484268188,
"learning_rate": 3.272727272727273e-06,
"loss": 0.9702,
"step": 54
},
{
"epoch": 5.0,
"eval_loss": 1.0444384813308716,
"eval_runtime": 24.3479,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 55
},
{
"epoch": 5.090909090909091,
"grad_norm": 0.6388964653015137,
"learning_rate": 3.3939393939393946e-06,
"loss": 0.9427,
"step": 56
},
{
"epoch": 5.2727272727272725,
"grad_norm": 0.8183718919754028,
"learning_rate": 3.5151515151515154e-06,
"loss": 1.0683,
"step": 58
},
{
"epoch": 5.454545454545454,
"grad_norm": 0.7228857278823853,
"learning_rate": 3.6363636363636366e-06,
"loss": 1.0193,
"step": 60
},
{
"epoch": 5.636363636363637,
"grad_norm": 0.6639413237571716,
"learning_rate": 3.757575757575758e-06,
"loss": 1.0165,
"step": 62
},
{
"epoch": 5.818181818181818,
"grad_norm": 0.7365549802780151,
"learning_rate": 3.878787878787879e-06,
"loss": 1.0233,
"step": 64
},
{
"epoch": 6.0,
"grad_norm": 0.642576277256012,
"learning_rate": 4.000000000000001e-06,
"loss": 0.9509,
"step": 66
},
{
"epoch": 6.0,
"eval_loss": 0.9990049004554749,
"eval_runtime": 24.3532,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 66
},
{
"epoch": 6.181818181818182,
"grad_norm": 0.6555075645446777,
"learning_rate": 4.1212121212121215e-06,
"loss": 0.9929,
"step": 68
},
{
"epoch": 6.363636363636363,
"grad_norm": 0.5816611647605896,
"learning_rate": 4.242424242424243e-06,
"loss": 0.9891,
"step": 70
},
{
"epoch": 6.545454545454545,
"grad_norm": 0.5633305907249451,
"learning_rate": 4.363636363636364e-06,
"loss": 0.9197,
"step": 72
},
{
"epoch": 6.7272727272727275,
"grad_norm": 0.5987116098403931,
"learning_rate": 4.4848484848484855e-06,
"loss": 0.9596,
"step": 74
},
{
"epoch": 6.909090909090909,
"grad_norm": 0.5823273658752441,
"learning_rate": 4.606060606060606e-06,
"loss": 0.9573,
"step": 76
},
{
"epoch": 7.0,
"eval_loss": 0.9499709606170654,
"eval_runtime": 24.3506,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 77
},
{
"epoch": 7.090909090909091,
"grad_norm": 0.5255045890808105,
"learning_rate": 4.727272727272728e-06,
"loss": 0.8918,
"step": 78
},
{
"epoch": 7.2727272727272725,
"grad_norm": 0.5354146957397461,
"learning_rate": 4.848484848484849e-06,
"loss": 0.9815,
"step": 80
},
{
"epoch": 7.454545454545454,
"grad_norm": 0.4640227258205414,
"learning_rate": 4.9696969696969696e-06,
"loss": 0.8863,
"step": 82
},
{
"epoch": 7.636363636363637,
"grad_norm": 0.4414072334766388,
"learning_rate": 5.090909090909091e-06,
"loss": 0.9009,
"step": 84
},
{
"epoch": 7.818181818181818,
"grad_norm": 0.42416912317276,
"learning_rate": 5.212121212121213e-06,
"loss": 0.9165,
"step": 86
},
{
"epoch": 8.0,
"grad_norm": 0.3701015114784241,
"learning_rate": 5.333333333333334e-06,
"loss": 0.8624,
"step": 88
},
{
"epoch": 8.0,
"eval_loss": 0.9071061015129089,
"eval_runtime": 24.3464,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 88
},
{
"epoch": 8.181818181818182,
"grad_norm": 0.3807128369808197,
"learning_rate": 5.4545454545454545e-06,
"loss": 0.8405,
"step": 90
},
{
"epoch": 8.363636363636363,
"grad_norm": 0.39005354046821594,
"learning_rate": 5.575757575757577e-06,
"loss": 0.8492,
"step": 92
},
{
"epoch": 8.545454545454545,
"grad_norm": 0.3477958142757416,
"learning_rate": 5.696969696969698e-06,
"loss": 0.8703,
"step": 94
},
{
"epoch": 8.727272727272727,
"grad_norm": 0.34921929240226746,
"learning_rate": 5.8181818181818185e-06,
"loss": 0.9232,
"step": 96
},
{
"epoch": 8.909090909090908,
"grad_norm": 0.38983580470085144,
"learning_rate": 5.93939393939394e-06,
"loss": 0.8804,
"step": 98
},
{
"epoch": 9.0,
"eval_loss": 0.8746969103813171,
"eval_runtime": 24.3504,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 99
},
{
"epoch": 9.090909090909092,
"grad_norm": 0.3402298390865326,
"learning_rate": 6.060606060606061e-06,
"loss": 0.8316,
"step": 100
},
{
"epoch": 9.272727272727273,
"grad_norm": 0.3445686399936676,
"learning_rate": 6.181818181818182e-06,
"loss": 0.8235,
"step": 102
},
{
"epoch": 9.454545454545455,
"grad_norm": 0.375674307346344,
"learning_rate": 6.303030303030303e-06,
"loss": 0.8982,
"step": 104
},
{
"epoch": 9.636363636363637,
"grad_norm": 0.3227982223033905,
"learning_rate": 6.424242424242425e-06,
"loss": 0.7633,
"step": 106
},
{
"epoch": 9.818181818181818,
"grad_norm": 0.38300326466560364,
"learning_rate": 6.545454545454546e-06,
"loss": 0.852,
"step": 108
},
{
"epoch": 10.0,
"grad_norm": 0.32602500915527344,
"learning_rate": 6.666666666666667e-06,
"loss": 0.8515,
"step": 110
},
{
"epoch": 10.0,
"eval_loss": 0.8457457423210144,
"eval_runtime": 24.3488,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 110
},
{
"epoch": 10.181818181818182,
"grad_norm": 0.3338332176208496,
"learning_rate": 6.787878787878789e-06,
"loss": 0.825,
"step": 112
},
{
"epoch": 10.363636363636363,
"grad_norm": 0.44083863496780396,
"learning_rate": 6.90909090909091e-06,
"loss": 0.8433,
"step": 114
},
{
"epoch": 10.545454545454545,
"grad_norm": 0.3659360408782959,
"learning_rate": 7.030303030303031e-06,
"loss": 0.8081,
"step": 116
},
{
"epoch": 10.727272727272727,
"grad_norm": 0.35738250613212585,
"learning_rate": 7.151515151515152e-06,
"loss": 0.8144,
"step": 118
},
{
"epoch": 10.909090909090908,
"grad_norm": 0.33010390400886536,
"learning_rate": 7.272727272727273e-06,
"loss": 0.7864,
"step": 120
},
{
"epoch": 11.0,
"eval_loss": 0.8207831382751465,
"eval_runtime": 24.3504,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 121
},
{
"epoch": 11.090909090909092,
"grad_norm": 0.329024076461792,
"learning_rate": 7.393939393939395e-06,
"loss": 0.7717,
"step": 122
},
{
"epoch": 11.272727272727273,
"grad_norm": 0.32361382246017456,
"learning_rate": 7.515151515151516e-06,
"loss": 0.7642,
"step": 124
},
{
"epoch": 11.454545454545455,
"grad_norm": 0.33380502462387085,
"learning_rate": 7.636363636363638e-06,
"loss": 0.7893,
"step": 126
},
{
"epoch": 11.636363636363637,
"grad_norm": 0.3214806318283081,
"learning_rate": 7.757575757575758e-06,
"loss": 0.7901,
"step": 128
},
{
"epoch": 11.818181818181818,
"grad_norm": 0.3193203806877136,
"learning_rate": 7.87878787878788e-06,
"loss": 0.7028,
"step": 130
},
{
"epoch": 12.0,
"grad_norm": 0.32331448793411255,
"learning_rate": 8.000000000000001e-06,
"loss": 0.8648,
"step": 132
},
{
"epoch": 12.0,
"eval_loss": 0.8018015027046204,
"eval_runtime": 24.3516,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 132
},
{
"epoch": 12.181818181818182,
"grad_norm": 0.2892431616783142,
"learning_rate": 8.121212121212121e-06,
"loss": 0.764,
"step": 134
},
{
"epoch": 12.363636363636363,
"grad_norm": 0.3037986755371094,
"learning_rate": 8.242424242424243e-06,
"loss": 0.7343,
"step": 136
},
{
"epoch": 12.545454545454545,
"grad_norm": 0.3432358205318451,
"learning_rate": 8.363636363636365e-06,
"loss": 0.7794,
"step": 138
},
{
"epoch": 12.727272727272727,
"grad_norm": 0.3149927258491516,
"learning_rate": 8.484848484848486e-06,
"loss": 0.8031,
"step": 140
},
{
"epoch": 12.909090909090908,
"grad_norm": 0.29204079508781433,
"learning_rate": 8.606060606060606e-06,
"loss": 0.736,
"step": 142
},
{
"epoch": 13.0,
"eval_loss": 0.786732017993927,
"eval_runtime": 24.3508,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 143
},
{
"epoch": 13.090909090909092,
"grad_norm": 0.3326067626476288,
"learning_rate": 8.727272727272728e-06,
"loss": 0.7661,
"step": 144
},
{
"epoch": 13.272727272727273,
"grad_norm": 0.3473084270954132,
"learning_rate": 8.84848484848485e-06,
"loss": 0.7727,
"step": 146
},
{
"epoch": 13.454545454545455,
"grad_norm": 0.28269076347351074,
"learning_rate": 8.969696969696971e-06,
"loss": 0.7282,
"step": 148
},
{
"epoch": 13.636363636363637,
"grad_norm": 0.32704994082450867,
"learning_rate": 9.090909090909091e-06,
"loss": 0.6916,
"step": 150
},
{
"epoch": 13.818181818181818,
"grad_norm": 0.3217592239379883,
"learning_rate": 9.212121212121213e-06,
"loss": 0.7475,
"step": 152
},
{
"epoch": 14.0,
"grad_norm": 0.3401748836040497,
"learning_rate": 9.333333333333334e-06,
"loss": 0.7882,
"step": 154
},
{
"epoch": 14.0,
"eval_loss": 0.7727737426757812,
"eval_runtime": 24.3475,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 154
},
{
"epoch": 14.181818181818182,
"grad_norm": 0.3393374979496002,
"learning_rate": 9.454545454545456e-06,
"loss": 0.6774,
"step": 156
},
{
"epoch": 14.363636363636363,
"grad_norm": 0.28455665707588196,
"learning_rate": 9.575757575757576e-06,
"loss": 0.7579,
"step": 158
},
{
"epoch": 14.545454545454545,
"grad_norm": 0.30775022506713867,
"learning_rate": 9.696969696969698e-06,
"loss": 0.7331,
"step": 160
},
{
"epoch": 14.727272727272727,
"grad_norm": 0.3098331689834595,
"learning_rate": 9.81818181818182e-06,
"loss": 0.7255,
"step": 162
},
{
"epoch": 14.909090909090908,
"grad_norm": 0.39052486419677734,
"learning_rate": 9.939393939393939e-06,
"loss": 0.7452,
"step": 164
},
{
"epoch": 15.0,
"eval_loss": 0.7604131698608398,
"eval_runtime": 24.3513,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 165
},
{
"epoch": 15.090909090909092,
"grad_norm": 0.31109246611595154,
"learning_rate": 9.999988811118232e-06,
"loss": 0.6938,
"step": 166
},
{
"epoch": 15.272727272727273,
"grad_norm": 0.3080443739891052,
"learning_rate": 9.999899300364534e-06,
"loss": 0.6979,
"step": 168
},
{
"epoch": 15.454545454545455,
"grad_norm": 0.37110060453414917,
"learning_rate": 9.999720280459576e-06,
"loss": 0.7866,
"step": 170
},
{
"epoch": 15.636363636363637,
"grad_norm": 0.9138216972351074,
"learning_rate": 9.999451754608208e-06,
"loss": 0.683,
"step": 172
},
{
"epoch": 15.818181818181818,
"grad_norm": 0.37108689546585083,
"learning_rate": 9.99909372761763e-06,
"loss": 0.7214,
"step": 174
},
{
"epoch": 16.0,
"grad_norm": 0.32667478919029236,
"learning_rate": 9.99864620589731e-06,
"loss": 0.6818,
"step": 176
},
{
"epoch": 16.0,
"eval_loss": 0.7484579086303711,
"eval_runtime": 24.3469,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 176
},
{
"epoch": 16.181818181818183,
"grad_norm": 0.32395023107528687,
"learning_rate": 9.998109197458865e-06,
"loss": 0.6817,
"step": 178
},
{
"epoch": 16.363636363636363,
"grad_norm": 0.33770957589149475,
"learning_rate": 9.997482711915926e-06,
"loss": 0.7282,
"step": 180
},
{
"epoch": 16.545454545454547,
"grad_norm": 0.3693891763687134,
"learning_rate": 9.996766760483955e-06,
"loss": 0.6857,
"step": 182
},
{
"epoch": 16.727272727272727,
"grad_norm": 0.32818594574928284,
"learning_rate": 9.995961355980052e-06,
"loss": 0.653,
"step": 184
},
{
"epoch": 16.90909090909091,
"grad_norm": 0.3677254915237427,
"learning_rate": 9.99506651282272e-06,
"loss": 0.7119,
"step": 186
},
{
"epoch": 17.0,
"eval_loss": 0.7387299537658691,
"eval_runtime": 24.3449,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 187
},
{
"epoch": 17.09090909090909,
"grad_norm": 0.33137425780296326,
"learning_rate": 9.994082247031613e-06,
"loss": 0.6706,
"step": 188
},
{
"epoch": 17.272727272727273,
"grad_norm": 0.34344998002052307,
"learning_rate": 9.993008576227248e-06,
"loss": 0.656,
"step": 190
},
{
"epoch": 17.454545454545453,
"grad_norm": 0.4169725775718689,
"learning_rate": 9.991845519630679e-06,
"loss": 0.6647,
"step": 192
},
{
"epoch": 17.636363636363637,
"grad_norm": 0.4314097762107849,
"learning_rate": 9.99059309806317e-06,
"loss": 0.6885,
"step": 194
},
{
"epoch": 17.818181818181817,
"grad_norm": 0.3693665862083435,
"learning_rate": 9.989251333945813e-06,
"loss": 0.6567,
"step": 196
},
{
"epoch": 18.0,
"grad_norm": 0.42939141392707825,
"learning_rate": 9.987820251299121e-06,
"loss": 0.7107,
"step": 198
},
{
"epoch": 18.0,
"eval_loss": 0.7306709289550781,
"eval_runtime": 24.3524,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 198
},
{
"epoch": 18.181818181818183,
"grad_norm": 0.3910067677497864,
"learning_rate": 9.986299875742612e-06,
"loss": 0.6819,
"step": 200
},
{
"epoch": 18.363636363636363,
"grad_norm": 0.3679266571998596,
"learning_rate": 9.984690234494338e-06,
"loss": 0.6852,
"step": 202
},
{
"epoch": 18.545454545454547,
"grad_norm": 0.36058109998703003,
"learning_rate": 9.982991356370404e-06,
"loss": 0.6231,
"step": 204
},
{
"epoch": 18.727272727272727,
"grad_norm": 0.4211237132549286,
"learning_rate": 9.98120327178445e-06,
"loss": 0.6758,
"step": 206
},
{
"epoch": 18.90909090909091,
"grad_norm": 0.3913659155368805,
"learning_rate": 9.979326012747106e-06,
"loss": 0.6405,
"step": 208
},
{
"epoch": 19.0,
"eval_loss": 0.7237685322761536,
"eval_runtime": 24.3475,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 209
},
{
"epoch": 19.09090909090909,
"grad_norm": 0.3846379816532135,
"learning_rate": 9.977359612865424e-06,
"loss": 0.5929,
"step": 210
},
{
"epoch": 19.272727272727273,
"grad_norm": 0.44087332487106323,
"learning_rate": 9.975304107342268e-06,
"loss": 0.627,
"step": 212
},
{
"epoch": 19.454545454545453,
"grad_norm": 0.467111200094223,
"learning_rate": 9.973159532975691e-06,
"loss": 0.6858,
"step": 214
},
{
"epoch": 19.636363636363637,
"grad_norm": 0.43696919083595276,
"learning_rate": 9.970925928158275e-06,
"loss": 0.6414,
"step": 216
},
{
"epoch": 19.818181818181817,
"grad_norm": 0.4129337966442108,
"learning_rate": 9.968603332876435e-06,
"loss": 0.6621,
"step": 218
},
{
"epoch": 20.0,
"grad_norm": 0.4260455369949341,
"learning_rate": 9.966191788709716e-06,
"loss": 0.6075,
"step": 220
},
{
"epoch": 20.0,
"eval_loss": 0.7188207507133484,
"eval_runtime": 24.3505,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 220
},
{
"epoch": 20.181818181818183,
"grad_norm": 0.4215308725833893,
"learning_rate": 9.963691338830045e-06,
"loss": 0.611,
"step": 222
},
{
"epoch": 20.363636363636363,
"grad_norm": 0.4364253282546997,
"learning_rate": 9.961102028000948e-06,
"loss": 0.5843,
"step": 224
},
{
"epoch": 20.545454545454547,
"grad_norm": 0.45465582609176636,
"learning_rate": 9.958423902576764e-06,
"loss": 0.6556,
"step": 226
},
{
"epoch": 20.727272727272727,
"grad_norm": 0.43474891781806946,
"learning_rate": 9.955657010501807e-06,
"loss": 0.6197,
"step": 228
},
{
"epoch": 20.90909090909091,
"grad_norm": 0.4751872420310974,
"learning_rate": 9.952801401309504e-06,
"loss": 0.6323,
"step": 230
},
{
"epoch": 21.0,
"eval_loss": 0.7152169346809387,
"eval_runtime": 24.3508,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 231
},
{
"epoch": 21.09090909090909,
"grad_norm": 0.4626959264278412,
"learning_rate": 9.949857126121519e-06,
"loss": 0.624,
"step": 232
},
{
"epoch": 21.272727272727273,
"grad_norm": 0.45061811804771423,
"learning_rate": 9.946824237646823e-06,
"loss": 0.6272,
"step": 234
},
{
"epoch": 21.454545454545453,
"grad_norm": 0.4539961814880371,
"learning_rate": 9.94370279018077e-06,
"loss": 0.6137,
"step": 236
},
{
"epoch": 21.636363636363637,
"grad_norm": 0.5059633255004883,
"learning_rate": 9.940492839604103e-06,
"loss": 0.5831,
"step": 238
},
{
"epoch": 21.818181818181817,
"grad_norm": 0.46466246247291565,
"learning_rate": 9.937194443381972e-06,
"loss": 0.6131,
"step": 240
},
{
"epoch": 22.0,
"grad_norm": 0.5081361532211304,
"learning_rate": 9.933807660562898e-06,
"loss": 0.557,
"step": 242
},
{
"epoch": 22.0,
"eval_loss": 0.7138778567314148,
"eval_runtime": 24.3506,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 242
},
{
"epoch": 22.181818181818183,
"grad_norm": 0.4696747064590454,
"learning_rate": 9.930332551777709e-06,
"loss": 0.5765,
"step": 244
},
{
"epoch": 22.363636363636363,
"grad_norm": 0.4927414655685425,
"learning_rate": 9.926769179238467e-06,
"loss": 0.6057,
"step": 246
},
{
"epoch": 22.545454545454547,
"grad_norm": 0.5349259376525879,
"learning_rate": 9.923117606737347e-06,
"loss": 0.6059,
"step": 248
},
{
"epoch": 22.727272727272727,
"grad_norm": 0.5289928317070007,
"learning_rate": 9.919377899645497e-06,
"loss": 0.5736,
"step": 250
},
{
"epoch": 22.90909090909091,
"grad_norm": 0.5489732027053833,
"learning_rate": 9.915550124911866e-06,
"loss": 0.5692,
"step": 252
},
{
"epoch": 23.0,
"eval_loss": 0.7158213257789612,
"eval_runtime": 24.36,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 253
},
{
"epoch": 23.09090909090909,
"grad_norm": 0.5354622602462769,
"learning_rate": 9.91163435106201e-06,
"loss": 0.5341,
"step": 254
},
{
"epoch": 23.272727272727273,
"grad_norm": 0.488086074590683,
"learning_rate": 9.907630648196857e-06,
"loss": 0.593,
"step": 256
},
{
"epoch": 23.454545454545453,
"grad_norm": 0.545102059841156,
"learning_rate": 9.903539087991462e-06,
"loss": 0.568,
"step": 258
},
{
"epoch": 23.636363636363637,
"grad_norm": 0.5522411465644836,
"learning_rate": 9.899359743693715e-06,
"loss": 0.5498,
"step": 260
},
{
"epoch": 23.818181818181817,
"grad_norm": 0.6323682069778442,
"learning_rate": 9.895092690123036e-06,
"loss": 0.5401,
"step": 262
},
{
"epoch": 24.0,
"grad_norm": 0.5789000988006592,
"learning_rate": 9.890738003669029e-06,
"loss": 0.558,
"step": 264
},
{
"epoch": 24.0,
"eval_loss": 0.719824492931366,
"eval_runtime": 24.3548,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 264
},
{
"epoch": 24.181818181818183,
"grad_norm": 0.5536386966705322,
"learning_rate": 9.886295762290125e-06,
"loss": 0.5058,
"step": 266
},
{
"epoch": 24.363636363636363,
"grad_norm": 0.6637153029441833,
"learning_rate": 9.881766045512176e-06,
"loss": 0.5807,
"step": 268
},
{
"epoch": 24.545454545454547,
"grad_norm": 0.619708240032196,
"learning_rate": 9.877148934427037e-06,
"loss": 0.5592,
"step": 270
},
{
"epoch": 24.727272727272727,
"grad_norm": 0.6658281087875366,
"learning_rate": 9.872444511691108e-06,
"loss": 0.5266,
"step": 272
},
{
"epoch": 24.90909090909091,
"grad_norm": 0.6834419369697571,
"learning_rate": 9.867652861523866e-06,
"loss": 0.5153,
"step": 274
},
{
"epoch": 25.0,
"eval_loss": 0.7296044230461121,
"eval_runtime": 24.3588,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 275
},
{
"epoch": 25.09090909090909,
"grad_norm": 0.667942225933075,
"learning_rate": 9.862774069706346e-06,
"loss": 0.4993,
"step": 276
},
{
"epoch": 25.272727272727273,
"grad_norm": 0.6705055236816406,
"learning_rate": 9.85780822357961e-06,
"loss": 0.5251,
"step": 278
},
{
"epoch": 25.454545454545453,
"grad_norm": 0.7730400562286377,
"learning_rate": 9.85275541204318e-06,
"loss": 0.5414,
"step": 280
},
{
"epoch": 25.636363636363637,
"grad_norm": 0.6594474911689758,
"learning_rate": 9.847615725553457e-06,
"loss": 0.5029,
"step": 282
},
{
"epoch": 25.818181818181817,
"grad_norm": 0.6896001696586609,
"learning_rate": 9.842389256122086e-06,
"loss": 0.4927,
"step": 284
},
{
"epoch": 26.0,
"grad_norm": 0.714022159576416,
"learning_rate": 9.83707609731432e-06,
"loss": 0.4964,
"step": 286
},
{
"epoch": 26.0,
"eval_loss": 0.7366821765899658,
"eval_runtime": 24.3662,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 286
},
{
"epoch": 26.181818181818183,
"grad_norm": 0.8182728886604309,
"learning_rate": 9.831676344247343e-06,
"loss": 0.4601,
"step": 288
},
{
"epoch": 26.363636363636363,
"grad_norm": 0.8259897828102112,
"learning_rate": 9.826190093588564e-06,
"loss": 0.5021,
"step": 290
},
{
"epoch": 26.545454545454547,
"grad_norm": 0.8739567995071411,
"learning_rate": 9.820617443553889e-06,
"loss": 0.5133,
"step": 292
},
{
"epoch": 26.727272727272727,
"grad_norm": 0.798852801322937,
"learning_rate": 9.814958493905962e-06,
"loss": 0.4688,
"step": 294
},
{
"epoch": 26.90909090909091,
"grad_norm": 0.7111189365386963,
"learning_rate": 9.80921334595238e-06,
"loss": 0.4713,
"step": 296
},
{
"epoch": 27.0,
"eval_loss": 0.7402606010437012,
"eval_runtime": 24.3554,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 297
},
{
"epoch": 27.09090909090909,
"grad_norm": 0.7679806351661682,
"learning_rate": 9.80338210254388e-06,
"loss": 0.4414,
"step": 298
},
{
"epoch": 27.272727272727273,
"grad_norm": 0.7741813659667969,
"learning_rate": 9.797464868072489e-06,
"loss": 0.4424,
"step": 300
},
{
"epoch": 27.454545454545453,
"grad_norm": 0.7848456501960754,
"learning_rate": 9.791461748469669e-06,
"loss": 0.461,
"step": 302
},
{
"epoch": 27.636363636363637,
"grad_norm": 0.9988805055618286,
"learning_rate": 9.785372851204415e-06,
"loss": 0.4594,
"step": 304
},
{
"epoch": 27.818181818181817,
"grad_norm": 1.017672061920166,
"learning_rate": 9.779198285281326e-06,
"loss": 0.4656,
"step": 306
},
{
"epoch": 28.0,
"grad_norm": 0.8862157464027405,
"learning_rate": 9.77293816123866e-06,
"loss": 0.4144,
"step": 308
},
{
"epoch": 28.0,
"eval_loss": 0.7620039582252502,
"eval_runtime": 24.3481,
"eval_samples_per_second": 0.986,
"eval_steps_per_second": 0.986,
"step": 308
},
{
"epoch": 28.181818181818183,
"grad_norm": 1.078522801399231,
"learning_rate": 9.766592591146353e-06,
"loss": 0.4126,
"step": 310
},
{
"epoch": 28.363636363636363,
"grad_norm": 0.8740026354789734,
"learning_rate": 9.760161688604008e-06,
"loss": 0.4104,
"step": 312
},
{
"epoch": 28.545454545454547,
"grad_norm": 1.2476239204406738,
"learning_rate": 9.753645568738872e-06,
"loss": 0.4275,
"step": 314
},
{
"epoch": 28.727272727272727,
"grad_norm": 1.1232469081878662,
"learning_rate": 9.747044348203766e-06,
"loss": 0.4,
"step": 316
},
{
"epoch": 28.90909090909091,
"grad_norm": 0.9635869860649109,
"learning_rate": 9.740358145174999e-06,
"loss": 0.4184,
"step": 318
},
{
"epoch": 29.0,
"eval_loss": 0.7954289317131042,
"eval_runtime": 24.3558,
"eval_samples_per_second": 0.985,
"eval_steps_per_second": 0.985,
"step": 319
},
{
"epoch": 29.0,
"step": 319,
"total_flos": 2.4257124139375e+17,
"train_loss": 0.757462413613699,
"train_runtime": 8705.8997,
"train_samples_per_second": 1.516,
"train_steps_per_second": 0.19
}
],
"logging_steps": 2,
"max_steps": 1650,
"num_input_tokens_seen": 0,
"num_train_epochs": 150,
"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": 2.4257124139375e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}