GaetanMichelet's picture
Model save
ce70a2f verified
raw
history blame contribute delete
No virus
49.2 kB
{
"best_metric": 0.9354831576347351,
"best_model_checkpoint": "data/Llama-31-8B_task-1_60-samples_config-4_full/checkpoint-287",
"epoch": 104.34782608695652,
"eval_steps": 500,
"global_step": 300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.34782608695652173,
"grad_norm": 2.058788776397705,
"learning_rate": 3.3333333333333335e-07,
"loss": 2.5057,
"step": 1
},
{
"epoch": 0.6956521739130435,
"grad_norm": 2.0099380016326904,
"learning_rate": 6.666666666666667e-07,
"loss": 2.5391,
"step": 2
},
{
"epoch": 0.6956521739130435,
"eval_loss": 2.416827917098999,
"eval_runtime": 4.8263,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 2
},
{
"epoch": 1.391304347826087,
"grad_norm": 2.0508503913879395,
"learning_rate": 1.3333333333333334e-06,
"loss": 2.5182,
"step": 4
},
{
"epoch": 1.7391304347826086,
"eval_loss": 2.4065160751342773,
"eval_runtime": 4.8317,
"eval_samples_per_second": 2.484,
"eval_steps_per_second": 2.484,
"step": 5
},
{
"epoch": 2.0869565217391304,
"grad_norm": 1.9739177227020264,
"learning_rate": 2.0000000000000003e-06,
"loss": 2.5073,
"step": 6
},
{
"epoch": 2.782608695652174,
"grad_norm": 1.7424209117889404,
"learning_rate": 2.666666666666667e-06,
"loss": 2.4879,
"step": 8
},
{
"epoch": 2.782608695652174,
"eval_loss": 2.3912572860717773,
"eval_runtime": 4.8313,
"eval_samples_per_second": 2.484,
"eval_steps_per_second": 2.484,
"step": 8
},
{
"epoch": 3.4782608695652173,
"grad_norm": 1.7085793018341064,
"learning_rate": 3.3333333333333333e-06,
"loss": 2.4947,
"step": 10
},
{
"epoch": 3.8260869565217392,
"eval_loss": 2.372018575668335,
"eval_runtime": 4.8224,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 11
},
{
"epoch": 4.173913043478261,
"grad_norm": 1.7649006843566895,
"learning_rate": 4.000000000000001e-06,
"loss": 2.4911,
"step": 12
},
{
"epoch": 4.869565217391305,
"grad_norm": 1.5436650514602661,
"learning_rate": 4.666666666666667e-06,
"loss": 2.4335,
"step": 14
},
{
"epoch": 4.869565217391305,
"eval_loss": 2.3479087352752686,
"eval_runtime": 4.8287,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 14
},
{
"epoch": 5.565217391304348,
"grad_norm": 1.5427696704864502,
"learning_rate": 5.333333333333334e-06,
"loss": 2.4424,
"step": 16
},
{
"epoch": 5.913043478260869,
"eval_loss": 2.310939073562622,
"eval_runtime": 4.8306,
"eval_samples_per_second": 2.484,
"eval_steps_per_second": 2.484,
"step": 17
},
{
"epoch": 6.260869565217392,
"grad_norm": 1.6715421676635742,
"learning_rate": 6e-06,
"loss": 2.3843,
"step": 18
},
{
"epoch": 6.956521739130435,
"grad_norm": 1.8118067979812622,
"learning_rate": 6.666666666666667e-06,
"loss": 2.3698,
"step": 20
},
{
"epoch": 6.956521739130435,
"eval_loss": 2.2672276496887207,
"eval_runtime": 4.8229,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 20
},
{
"epoch": 7.6521739130434785,
"grad_norm": 1.769518494606018,
"learning_rate": 7.333333333333333e-06,
"loss": 2.3512,
"step": 22
},
{
"epoch": 8.0,
"eval_loss": 2.2129247188568115,
"eval_runtime": 4.8207,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 23
},
{
"epoch": 8.347826086956522,
"grad_norm": 1.4598925113677979,
"learning_rate": 8.000000000000001e-06,
"loss": 2.32,
"step": 24
},
{
"epoch": 8.695652173913043,
"eval_loss": 2.182978391647339,
"eval_runtime": 4.8234,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 25
},
{
"epoch": 9.043478260869565,
"grad_norm": 1.3492408990859985,
"learning_rate": 8.666666666666668e-06,
"loss": 2.2635,
"step": 26
},
{
"epoch": 9.73913043478261,
"grad_norm": 1.289293646812439,
"learning_rate": 9.333333333333334e-06,
"loss": 2.2555,
"step": 28
},
{
"epoch": 9.73913043478261,
"eval_loss": 2.12662935256958,
"eval_runtime": 4.8292,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 28
},
{
"epoch": 10.434782608695652,
"grad_norm": 1.3162202835083008,
"learning_rate": 1e-05,
"loss": 2.1681,
"step": 30
},
{
"epoch": 10.782608695652174,
"eval_loss": 2.0537397861480713,
"eval_runtime": 4.8349,
"eval_samples_per_second": 2.482,
"eval_steps_per_second": 2.482,
"step": 31
},
{
"epoch": 11.130434782608695,
"grad_norm": 1.3937517404556274,
"learning_rate": 9.99864620589731e-06,
"loss": 2.1476,
"step": 32
},
{
"epoch": 11.826086956521738,
"grad_norm": 1.0678613185882568,
"learning_rate": 9.994585556692624e-06,
"loss": 2.0737,
"step": 34
},
{
"epoch": 11.826086956521738,
"eval_loss": 1.9880471229553223,
"eval_runtime": 4.8264,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 34
},
{
"epoch": 12.521739130434783,
"grad_norm": 1.7729694843292236,
"learning_rate": 9.987820251299121e-06,
"loss": 2.0403,
"step": 36
},
{
"epoch": 12.869565217391305,
"eval_loss": 1.9276618957519531,
"eval_runtime": 4.8258,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 37
},
{
"epoch": 13.217391304347826,
"grad_norm": 1.1538618803024292,
"learning_rate": 9.978353953249023e-06,
"loss": 2.005,
"step": 38
},
{
"epoch": 13.91304347826087,
"grad_norm": 0.9281337261199951,
"learning_rate": 9.966191788709716e-06,
"loss": 1.9476,
"step": 40
},
{
"epoch": 13.91304347826087,
"eval_loss": 1.871132254600525,
"eval_runtime": 4.8266,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 40
},
{
"epoch": 14.608695652173914,
"grad_norm": 0.8572821617126465,
"learning_rate": 9.951340343707852e-06,
"loss": 1.9204,
"step": 42
},
{
"epoch": 14.956521739130435,
"eval_loss": 1.8154711723327637,
"eval_runtime": 4.8222,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 43
},
{
"epoch": 15.304347826086957,
"grad_norm": 0.8229424953460693,
"learning_rate": 9.933807660562898e-06,
"loss": 1.8583,
"step": 44
},
{
"epoch": 16.0,
"grad_norm": 0.8312278985977173,
"learning_rate": 9.913603233532067e-06,
"loss": 1.8461,
"step": 46
},
{
"epoch": 16.0,
"eval_loss": 1.7615426778793335,
"eval_runtime": 4.8193,
"eval_samples_per_second": 2.49,
"eval_steps_per_second": 2.49,
"step": 46
},
{
"epoch": 16.695652173913043,
"grad_norm": 0.8826591372489929,
"learning_rate": 9.890738003669029e-06,
"loss": 1.8095,
"step": 48
},
{
"epoch": 16.695652173913043,
"eval_loss": 1.7235876321792603,
"eval_runtime": 4.8227,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 48
},
{
"epoch": 17.391304347826086,
"grad_norm": 0.9071628451347351,
"learning_rate": 9.86522435289912e-06,
"loss": 1.7597,
"step": 50
},
{
"epoch": 17.73913043478261,
"eval_loss": 1.6579965353012085,
"eval_runtime": 4.8233,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 51
},
{
"epoch": 18.08695652173913,
"grad_norm": 0.9293504357337952,
"learning_rate": 9.83707609731432e-06,
"loss": 1.6805,
"step": 52
},
{
"epoch": 18.782608695652176,
"grad_norm": 0.8878646492958069,
"learning_rate": 9.806308479691595e-06,
"loss": 1.6484,
"step": 54
},
{
"epoch": 18.782608695652176,
"eval_loss": 1.5918583869934082,
"eval_runtime": 4.8278,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 54
},
{
"epoch": 19.47826086956522,
"grad_norm": 1.0276228189468384,
"learning_rate": 9.77293816123866e-06,
"loss": 1.6443,
"step": 56
},
{
"epoch": 19.82608695652174,
"eval_loss": 1.5261772871017456,
"eval_runtime": 4.8278,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 57
},
{
"epoch": 20.17391304347826,
"grad_norm": 1.2222720384597778,
"learning_rate": 9.736983212571646e-06,
"loss": 1.5605,
"step": 58
},
{
"epoch": 20.869565217391305,
"grad_norm": 1.040975570678711,
"learning_rate": 9.698463103929542e-06,
"loss": 1.5204,
"step": 60
},
{
"epoch": 20.869565217391305,
"eval_loss": 1.4560518264770508,
"eval_runtime": 4.8273,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 60
},
{
"epoch": 21.565217391304348,
"grad_norm": 0.8610687255859375,
"learning_rate": 9.657398694630713e-06,
"loss": 1.463,
"step": 62
},
{
"epoch": 21.91304347826087,
"eval_loss": 1.3959513902664185,
"eval_runtime": 4.8279,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 63
},
{
"epoch": 22.26086956521739,
"grad_norm": 0.9347313642501831,
"learning_rate": 9.613812221777212e-06,
"loss": 1.4249,
"step": 64
},
{
"epoch": 22.956521739130434,
"grad_norm": 0.911578357219696,
"learning_rate": 9.567727288213005e-06,
"loss": 1.3833,
"step": 66
},
{
"epoch": 22.956521739130434,
"eval_loss": 1.3404473066329956,
"eval_runtime": 4.8261,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 66
},
{
"epoch": 23.652173913043477,
"grad_norm": 0.8542620539665222,
"learning_rate": 9.519168849742603e-06,
"loss": 1.3385,
"step": 68
},
{
"epoch": 24.0,
"eval_loss": 1.2874761819839478,
"eval_runtime": 4.8231,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 69
},
{
"epoch": 24.347826086956523,
"grad_norm": 0.90443354845047,
"learning_rate": 9.468163201617063e-06,
"loss": 1.3094,
"step": 70
},
{
"epoch": 24.695652173913043,
"eval_loss": 1.2503851652145386,
"eval_runtime": 4.8253,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 71
},
{
"epoch": 25.043478260869566,
"grad_norm": 0.8763517141342163,
"learning_rate": 9.414737964294636e-06,
"loss": 1.2694,
"step": 72
},
{
"epoch": 25.73913043478261,
"grad_norm": 0.7862639427185059,
"learning_rate": 9.358922068483813e-06,
"loss": 1.2303,
"step": 74
},
{
"epoch": 25.73913043478261,
"eval_loss": 1.200731873512268,
"eval_runtime": 4.8257,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 74
},
{
"epoch": 26.434782608695652,
"grad_norm": 0.7432467341423035,
"learning_rate": 9.30074573947683e-06,
"loss": 1.1677,
"step": 76
},
{
"epoch": 26.782608695652176,
"eval_loss": 1.1599854230880737,
"eval_runtime": 4.8291,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 77
},
{
"epoch": 27.130434782608695,
"grad_norm": 0.6284440159797668,
"learning_rate": 9.24024048078213e-06,
"loss": 1.175,
"step": 78
},
{
"epoch": 27.82608695652174,
"grad_norm": 0.5942031145095825,
"learning_rate": 9.177439057064684e-06,
"loss": 1.1674,
"step": 80
},
{
"epoch": 27.82608695652174,
"eval_loss": 1.1331721544265747,
"eval_runtime": 4.8209,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 80
},
{
"epoch": 28.52173913043478,
"grad_norm": 0.5919143557548523,
"learning_rate": 9.112375476403313e-06,
"loss": 1.1068,
"step": 82
},
{
"epoch": 28.869565217391305,
"eval_loss": 1.1100302934646606,
"eval_runtime": 4.8285,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 83
},
{
"epoch": 29.217391304347824,
"grad_norm": 0.653171181678772,
"learning_rate": 9.045084971874738e-06,
"loss": 1.0762,
"step": 84
},
{
"epoch": 29.91304347826087,
"grad_norm": 0.6148922443389893,
"learning_rate": 8.97560398247424e-06,
"loss": 1.104,
"step": 86
},
{
"epoch": 29.91304347826087,
"eval_loss": 1.0883766412734985,
"eval_runtime": 4.8276,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 86
},
{
"epoch": 30.608695652173914,
"grad_norm": 0.5734871029853821,
"learning_rate": 8.903970133383297e-06,
"loss": 1.0617,
"step": 88
},
{
"epoch": 30.956521739130434,
"eval_loss": 1.0717229843139648,
"eval_runtime": 4.8304,
"eval_samples_per_second": 2.484,
"eval_steps_per_second": 2.484,
"step": 89
},
{
"epoch": 31.304347826086957,
"grad_norm": 0.5561685562133789,
"learning_rate": 8.83022221559489e-06,
"loss": 1.0674,
"step": 90
},
{
"epoch": 32.0,
"grad_norm": 0.522966206073761,
"learning_rate": 8.754400164907496e-06,
"loss": 1.0354,
"step": 92
},
{
"epoch": 32.0,
"eval_loss": 1.057722568511963,
"eval_runtime": 4.8513,
"eval_samples_per_second": 2.474,
"eval_steps_per_second": 2.474,
"step": 92
},
{
"epoch": 32.69565217391305,
"grad_norm": 0.46999314427375793,
"learning_rate": 8.676545040299145e-06,
"loss": 1.0195,
"step": 94
},
{
"epoch": 32.69565217391305,
"eval_loss": 1.049912452697754,
"eval_runtime": 4.823,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 94
},
{
"epoch": 33.391304347826086,
"grad_norm": 0.49655812978744507,
"learning_rate": 8.596699001693257e-06,
"loss": 1.0659,
"step": 96
},
{
"epoch": 33.73913043478261,
"eval_loss": 1.0396418571472168,
"eval_runtime": 4.8306,
"eval_samples_per_second": 2.484,
"eval_steps_per_second": 2.484,
"step": 97
},
{
"epoch": 34.08695652173913,
"grad_norm": 0.44858285784721375,
"learning_rate": 8.51490528712831e-06,
"loss": 0.9917,
"step": 98
},
{
"epoch": 34.78260869565217,
"grad_norm": 0.44484949111938477,
"learning_rate": 8.43120818934367e-06,
"loss": 1.0118,
"step": 100
},
{
"epoch": 34.78260869565217,
"eval_loss": 1.031006932258606,
"eval_runtime": 4.8275,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 100
},
{
"epoch": 35.47826086956522,
"grad_norm": 0.3746640086174011,
"learning_rate": 8.345653031794292e-06,
"loss": 1.0009,
"step": 102
},
{
"epoch": 35.82608695652174,
"eval_loss": 1.0246673822402954,
"eval_runtime": 4.8365,
"eval_samples_per_second": 2.481,
"eval_steps_per_second": 2.481,
"step": 103
},
{
"epoch": 36.17391304347826,
"grad_norm": 0.4000430107116699,
"learning_rate": 8.258286144107277e-06,
"loss": 0.9993,
"step": 104
},
{
"epoch": 36.869565217391305,
"grad_norm": 0.44598138332366943,
"learning_rate": 8.16915483699355e-06,
"loss": 0.9938,
"step": 106
},
{
"epoch": 36.869565217391305,
"eval_loss": 1.0180528163909912,
"eval_runtime": 4.8232,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 106
},
{
"epoch": 37.56521739130435,
"grad_norm": 0.40717804431915283,
"learning_rate": 8.078307376628292e-06,
"loss": 0.9736,
"step": 108
},
{
"epoch": 37.91304347826087,
"eval_loss": 1.0123671293258667,
"eval_runtime": 4.8227,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 109
},
{
"epoch": 38.26086956521739,
"grad_norm": 0.4021812975406647,
"learning_rate": 7.985792958513932e-06,
"loss": 0.9937,
"step": 110
},
{
"epoch": 38.95652173913044,
"grad_norm": 0.3653680086135864,
"learning_rate": 7.891661680839932e-06,
"loss": 0.9888,
"step": 112
},
{
"epoch": 38.95652173913044,
"eval_loss": 1.0076369047164917,
"eval_runtime": 4.8197,
"eval_samples_per_second": 2.49,
"eval_steps_per_second": 2.49,
"step": 112
},
{
"epoch": 39.65217391304348,
"grad_norm": 0.36845943331718445,
"learning_rate": 7.795964517353734e-06,
"loss": 0.9637,
"step": 114
},
{
"epoch": 40.0,
"eval_loss": 1.0018855333328247,
"eval_runtime": 4.8188,
"eval_samples_per_second": 2.49,
"eval_steps_per_second": 2.49,
"step": 115
},
{
"epoch": 40.34782608695652,
"grad_norm": 0.3739126920700073,
"learning_rate": 7.698753289757565e-06,
"loss": 0.9769,
"step": 116
},
{
"epoch": 40.69565217391305,
"eval_loss": 0.998671293258667,
"eval_runtime": 4.8236,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 117
},
{
"epoch": 41.04347826086956,
"grad_norm": 0.36004525423049927,
"learning_rate": 7.600080639646077e-06,
"loss": 0.9648,
"step": 118
},
{
"epoch": 41.73913043478261,
"grad_norm": 0.3854582607746124,
"learning_rate": 7.500000000000001e-06,
"loss": 0.936,
"step": 120
},
{
"epoch": 41.73913043478261,
"eval_loss": 0.9939180016517639,
"eval_runtime": 4.8226,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 120
},
{
"epoch": 42.43478260869565,
"grad_norm": 0.3872157335281372,
"learning_rate": 7.398565566251232e-06,
"loss": 0.9863,
"step": 122
},
{
"epoch": 42.78260869565217,
"eval_loss": 0.9906224608421326,
"eval_runtime": 4.8249,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 123
},
{
"epoch": 43.130434782608695,
"grad_norm": 0.45275992155075073,
"learning_rate": 7.295832266935059e-06,
"loss": 0.9381,
"step": 124
},
{
"epoch": 43.82608695652174,
"grad_norm": 0.3777986466884613,
"learning_rate": 7.191855733945388e-06,
"loss": 0.9626,
"step": 126
},
{
"epoch": 43.82608695652174,
"eval_loss": 0.9862757325172424,
"eval_runtime": 4.8256,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 126
},
{
"epoch": 44.52173913043478,
"grad_norm": 0.3554269075393677,
"learning_rate": 7.08669227240909e-06,
"loss": 0.9438,
"step": 128
},
{
"epoch": 44.869565217391305,
"eval_loss": 0.9825396537780762,
"eval_runtime": 4.8278,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 129
},
{
"epoch": 45.21739130434783,
"grad_norm": 0.4316815435886383,
"learning_rate": 6.980398830195785e-06,
"loss": 0.9621,
"step": 130
},
{
"epoch": 45.91304347826087,
"grad_norm": 0.3970458209514618,
"learning_rate": 6.873032967079562e-06,
"loss": 0.9034,
"step": 132
},
{
"epoch": 45.91304347826087,
"eval_loss": 0.980421781539917,
"eval_runtime": 4.8261,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 132
},
{
"epoch": 46.608695652173914,
"grad_norm": 0.36759161949157715,
"learning_rate": 6.7646528235693445e-06,
"loss": 0.9398,
"step": 134
},
{
"epoch": 46.95652173913044,
"eval_loss": 0.976270854473114,
"eval_runtime": 4.8284,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 135
},
{
"epoch": 47.30434782608695,
"grad_norm": 0.4169844388961792,
"learning_rate": 6.655317089424791e-06,
"loss": 0.9681,
"step": 136
},
{
"epoch": 48.0,
"grad_norm": 0.3838629126548767,
"learning_rate": 6.545084971874738e-06,
"loss": 0.9206,
"step": 138
},
{
"epoch": 48.0,
"eval_loss": 0.9739949703216553,
"eval_runtime": 4.8201,
"eval_samples_per_second": 2.49,
"eval_steps_per_second": 2.49,
"step": 138
},
{
"epoch": 48.69565217391305,
"grad_norm": 0.43010860681533813,
"learning_rate": 6.434016163555452e-06,
"loss": 0.9251,
"step": 140
},
{
"epoch": 48.69565217391305,
"eval_loss": 0.9728464484214783,
"eval_runtime": 4.8239,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 140
},
{
"epoch": 49.391304347826086,
"grad_norm": 0.3847574293613434,
"learning_rate": 6.322170810186013e-06,
"loss": 0.9245,
"step": 142
},
{
"epoch": 49.73913043478261,
"eval_loss": 0.9704022407531738,
"eval_runtime": 4.8259,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 143
},
{
"epoch": 50.08695652173913,
"grad_norm": 0.519916832447052,
"learning_rate": 6.209609477998339e-06,
"loss": 0.9363,
"step": 144
},
{
"epoch": 50.78260869565217,
"grad_norm": 0.46963444352149963,
"learning_rate": 6.0963931209395165e-06,
"loss": 0.9332,
"step": 146
},
{
"epoch": 50.78260869565217,
"eval_loss": 0.9670591354370117,
"eval_runtime": 4.8259,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 146
},
{
"epoch": 51.47826086956522,
"grad_norm": 0.39990323781967163,
"learning_rate": 5.982583047664151e-06,
"loss": 0.9012,
"step": 148
},
{
"epoch": 51.82608695652174,
"eval_loss": 0.9651336669921875,
"eval_runtime": 4.822,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 149
},
{
"epoch": 52.17391304347826,
"grad_norm": 0.6043806076049805,
"learning_rate": 5.8682408883346535e-06,
"loss": 0.915,
"step": 150
},
{
"epoch": 52.869565217391305,
"grad_norm": 0.4192598760128021,
"learning_rate": 5.753428561247416e-06,
"loss": 0.9075,
"step": 152
},
{
"epoch": 52.869565217391305,
"eval_loss": 0.9627308249473572,
"eval_runtime": 4.8216,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 152
},
{
"epoch": 53.56521739130435,
"grad_norm": 0.42425036430358887,
"learning_rate": 5.638208239302975e-06,
"loss": 0.9031,
"step": 154
},
{
"epoch": 53.91304347826087,
"eval_loss": 0.9614337086677551,
"eval_runtime": 4.8281,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 155
},
{
"epoch": 54.26086956521739,
"grad_norm": 0.49185582995414734,
"learning_rate": 5.522642316338268e-06,
"loss": 0.9089,
"step": 156
},
{
"epoch": 54.95652173913044,
"grad_norm": 0.45466744899749756,
"learning_rate": 5.406793373339292e-06,
"loss": 0.8969,
"step": 158
},
{
"epoch": 54.95652173913044,
"eval_loss": 0.9591866135597229,
"eval_runtime": 4.827,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 158
},
{
"epoch": 55.65217391304348,
"grad_norm": 0.4060223698616028,
"learning_rate": 5.290724144552379e-06,
"loss": 0.9102,
"step": 160
},
{
"epoch": 56.0,
"eval_loss": 0.9583068490028381,
"eval_runtime": 4.8182,
"eval_samples_per_second": 2.491,
"eval_steps_per_second": 2.491,
"step": 161
},
{
"epoch": 56.34782608695652,
"grad_norm": 0.46647414565086365,
"learning_rate": 5.174497483512506e-06,
"loss": 0.8955,
"step": 162
},
{
"epoch": 56.69565217391305,
"eval_loss": 0.9563028216362,
"eval_runtime": 4.8258,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 163
},
{
"epoch": 57.04347826086956,
"grad_norm": 0.5661187767982483,
"learning_rate": 5.0581763290069865e-06,
"loss": 0.9039,
"step": 164
},
{
"epoch": 57.73913043478261,
"grad_norm": 0.4606133699417114,
"learning_rate": 4.941823670993016e-06,
"loss": 0.8775,
"step": 166
},
{
"epoch": 57.73913043478261,
"eval_loss": 0.9546887278556824,
"eval_runtime": 4.8258,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 166
},
{
"epoch": 58.43478260869565,
"grad_norm": 0.4152405261993408,
"learning_rate": 4.825502516487497e-06,
"loss": 0.8879,
"step": 168
},
{
"epoch": 58.78260869565217,
"eval_loss": 0.9539990425109863,
"eval_runtime": 4.8323,
"eval_samples_per_second": 2.483,
"eval_steps_per_second": 2.483,
"step": 169
},
{
"epoch": 59.130434782608695,
"grad_norm": 0.46841880679130554,
"learning_rate": 4.7092758554476215e-06,
"loss": 0.9008,
"step": 170
},
{
"epoch": 59.82608695652174,
"grad_norm": 0.5221750736236572,
"learning_rate": 4.59320662666071e-06,
"loss": 0.8805,
"step": 172
},
{
"epoch": 59.82608695652174,
"eval_loss": 0.9510453343391418,
"eval_runtime": 4.8267,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 172
},
{
"epoch": 60.52173913043478,
"grad_norm": 0.45134589076042175,
"learning_rate": 4.477357683661734e-06,
"loss": 0.8982,
"step": 174
},
{
"epoch": 60.869565217391305,
"eval_loss": 0.9505268931388855,
"eval_runtime": 4.8236,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 175
},
{
"epoch": 61.21739130434783,
"grad_norm": 0.5287215113639832,
"learning_rate": 4.361791760697027e-06,
"loss": 0.8613,
"step": 176
},
{
"epoch": 61.91304347826087,
"grad_norm": 0.4524611532688141,
"learning_rate": 4.246571438752585e-06,
"loss": 0.8897,
"step": 178
},
{
"epoch": 61.91304347826087,
"eval_loss": 0.9494467377662659,
"eval_runtime": 4.8277,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 178
},
{
"epoch": 62.608695652173914,
"grad_norm": 0.4399959146976471,
"learning_rate": 4.131759111665349e-06,
"loss": 0.8515,
"step": 180
},
{
"epoch": 62.95652173913044,
"eval_loss": 0.9478859305381775,
"eval_runtime": 4.8225,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 181
},
{
"epoch": 63.30434782608695,
"grad_norm": 0.5381987690925598,
"learning_rate": 4.017416952335849e-06,
"loss": 0.9205,
"step": 182
},
{
"epoch": 64.0,
"grad_norm": 0.5035319924354553,
"learning_rate": 3.903606879060483e-06,
"loss": 0.8637,
"step": 184
},
{
"epoch": 64.0,
"eval_loss": 0.9468648433685303,
"eval_runtime": 4.8249,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 184
},
{
"epoch": 64.69565217391305,
"grad_norm": 0.4583827555179596,
"learning_rate": 3.790390522001662e-06,
"loss": 0.8719,
"step": 186
},
{
"epoch": 64.69565217391305,
"eval_loss": 0.9470892548561096,
"eval_runtime": 4.824,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 186
},
{
"epoch": 65.3913043478261,
"grad_norm": 0.5146140456199646,
"learning_rate": 3.6778291898139907e-06,
"loss": 0.8635,
"step": 188
},
{
"epoch": 65.73913043478261,
"eval_loss": 0.9452293515205383,
"eval_runtime": 4.8297,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 189
},
{
"epoch": 66.08695652173913,
"grad_norm": 0.5240075588226318,
"learning_rate": 3.5659838364445505e-06,
"loss": 0.8809,
"step": 190
},
{
"epoch": 66.78260869565217,
"grad_norm": 0.4892469048500061,
"learning_rate": 3.4549150281252635e-06,
"loss": 0.8579,
"step": 192
},
{
"epoch": 66.78260869565217,
"eval_loss": 0.9444965720176697,
"eval_runtime": 4.8242,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 192
},
{
"epoch": 67.47826086956522,
"grad_norm": 0.5614312291145325,
"learning_rate": 3.3446829105752103e-06,
"loss": 0.8465,
"step": 194
},
{
"epoch": 67.82608695652173,
"eval_loss": 0.9434299468994141,
"eval_runtime": 4.8252,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 195
},
{
"epoch": 68.17391304347827,
"grad_norm": 0.5231534242630005,
"learning_rate": 3.2353471764306567e-06,
"loss": 0.8791,
"step": 196
},
{
"epoch": 68.8695652173913,
"grad_norm": 0.5704526305198669,
"learning_rate": 3.12696703292044e-06,
"loss": 0.8588,
"step": 198
},
{
"epoch": 68.8695652173913,
"eval_loss": 0.9436232447624207,
"eval_runtime": 4.8241,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 198
},
{
"epoch": 69.56521739130434,
"grad_norm": 0.5715120434761047,
"learning_rate": 3.019601169804216e-06,
"loss": 0.868,
"step": 200
},
{
"epoch": 69.91304347826087,
"eval_loss": 0.9421423077583313,
"eval_runtime": 4.8217,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 201
},
{
"epoch": 70.26086956521739,
"grad_norm": 0.7542048692703247,
"learning_rate": 2.9133077275909112e-06,
"loss": 0.8691,
"step": 202
},
{
"epoch": 70.95652173913044,
"grad_norm": 0.5780174732208252,
"learning_rate": 2.8081442660546126e-06,
"loss": 0.8523,
"step": 204
},
{
"epoch": 70.95652173913044,
"eval_loss": 0.9417908191680908,
"eval_runtime": 4.8236,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 204
},
{
"epoch": 71.65217391304348,
"grad_norm": 0.5677995681762695,
"learning_rate": 2.7041677330649408e-06,
"loss": 0.8654,
"step": 206
},
{
"epoch": 72.0,
"eval_loss": 0.9404106140136719,
"eval_runtime": 4.8254,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 207
},
{
"epoch": 72.34782608695652,
"grad_norm": 0.5781915187835693,
"learning_rate": 2.601434433748771e-06,
"loss": 0.8525,
"step": 208
},
{
"epoch": 72.69565217391305,
"eval_loss": 0.9405445456504822,
"eval_runtime": 4.8227,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 209
},
{
"epoch": 73.04347826086956,
"grad_norm": 0.5282586812973022,
"learning_rate": 2.5000000000000015e-06,
"loss": 0.8419,
"step": 210
},
{
"epoch": 73.73913043478261,
"grad_norm": 0.7152076363563538,
"learning_rate": 2.3999193603539234e-06,
"loss": 0.8565,
"step": 212
},
{
"epoch": 73.73913043478261,
"eval_loss": 0.9400214552879333,
"eval_runtime": 4.8268,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 212
},
{
"epoch": 74.43478260869566,
"grad_norm": 0.5548727512359619,
"learning_rate": 2.3012467102424373e-06,
"loss": 0.8424,
"step": 214
},
{
"epoch": 74.78260869565217,
"eval_loss": 0.9406850337982178,
"eval_runtime": 4.8319,
"eval_samples_per_second": 2.483,
"eval_steps_per_second": 2.483,
"step": 215
},
{
"epoch": 75.1304347826087,
"grad_norm": 0.6737377047538757,
"learning_rate": 2.204035482646267e-06,
"loss": 0.8541,
"step": 216
},
{
"epoch": 75.82608695652173,
"grad_norm": 0.5421648621559143,
"learning_rate": 2.1083383191600676e-06,
"loss": 0.8342,
"step": 218
},
{
"epoch": 75.82608695652173,
"eval_loss": 0.9395294189453125,
"eval_runtime": 4.8312,
"eval_samples_per_second": 2.484,
"eval_steps_per_second": 2.484,
"step": 218
},
{
"epoch": 76.52173913043478,
"grad_norm": 0.6473485827445984,
"learning_rate": 2.0142070414860704e-06,
"loss": 0.8539,
"step": 220
},
{
"epoch": 76.8695652173913,
"eval_loss": 0.9393353462219238,
"eval_runtime": 4.8273,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 221
},
{
"epoch": 77.21739130434783,
"grad_norm": 0.6593698263168335,
"learning_rate": 1.9216926233717087e-06,
"loss": 0.8531,
"step": 222
},
{
"epoch": 77.91304347826087,
"grad_norm": 0.612883448600769,
"learning_rate": 1.8308451630064484e-06,
"loss": 0.8413,
"step": 224
},
{
"epoch": 77.91304347826087,
"eval_loss": 0.9383335113525391,
"eval_runtime": 4.8256,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 224
},
{
"epoch": 78.6086956521739,
"grad_norm": 0.600571870803833,
"learning_rate": 1.7417138558927244e-06,
"loss": 0.8488,
"step": 226
},
{
"epoch": 78.95652173913044,
"eval_loss": 0.938234806060791,
"eval_runtime": 4.8279,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 227
},
{
"epoch": 79.30434782608695,
"grad_norm": 0.5200878977775574,
"learning_rate": 1.6543469682057105e-06,
"loss": 0.8469,
"step": 228
},
{
"epoch": 80.0,
"grad_norm": 0.5332892537117004,
"learning_rate": 1.5687918106563326e-06,
"loss": 0.8319,
"step": 230
},
{
"epoch": 80.0,
"eval_loss": 0.9395381808280945,
"eval_runtime": 4.8185,
"eval_samples_per_second": 2.49,
"eval_steps_per_second": 2.49,
"step": 230
},
{
"epoch": 80.69565217391305,
"grad_norm": 0.5492921471595764,
"learning_rate": 1.4850947128716914e-06,
"loss": 0.8402,
"step": 232
},
{
"epoch": 80.69565217391305,
"eval_loss": 0.9382343292236328,
"eval_runtime": 4.8345,
"eval_samples_per_second": 2.482,
"eval_steps_per_second": 2.482,
"step": 232
},
{
"epoch": 81.3913043478261,
"grad_norm": 0.6471025943756104,
"learning_rate": 1.4033009983067454e-06,
"loss": 0.8604,
"step": 234
},
{
"epoch": 81.73913043478261,
"eval_loss": 0.9375772476196289,
"eval_runtime": 4.8261,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 235
},
{
"epoch": 82.08695652173913,
"grad_norm": 0.6458178758621216,
"learning_rate": 1.3234549597008572e-06,
"loss": 0.8182,
"step": 236
},
{
"epoch": 82.78260869565217,
"grad_norm": 0.639596164226532,
"learning_rate": 1.2455998350925042e-06,
"loss": 0.8516,
"step": 238
},
{
"epoch": 82.78260869565217,
"eval_loss": 0.9374153017997742,
"eval_runtime": 4.8221,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 238
},
{
"epoch": 83.47826086956522,
"grad_norm": 0.5777437686920166,
"learning_rate": 1.1697777844051105e-06,
"loss": 0.8195,
"step": 240
},
{
"epoch": 83.82608695652173,
"eval_loss": 0.9378395676612854,
"eval_runtime": 4.822,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 241
},
{
"epoch": 84.17391304347827,
"grad_norm": 0.6369026303291321,
"learning_rate": 1.096029866616704e-06,
"loss": 0.8491,
"step": 242
},
{
"epoch": 84.8695652173913,
"grad_norm": 0.6049113273620605,
"learning_rate": 1.0243960175257605e-06,
"loss": 0.8456,
"step": 244
},
{
"epoch": 84.8695652173913,
"eval_loss": 0.9380698204040527,
"eval_runtime": 4.8285,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 244
},
{
"epoch": 85.56521739130434,
"grad_norm": 0.6273989677429199,
"learning_rate": 9.549150281252633e-07,
"loss": 0.8313,
"step": 246
},
{
"epoch": 85.91304347826087,
"eval_loss": 0.9373624324798584,
"eval_runtime": 4.8293,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 247
},
{
"epoch": 86.26086956521739,
"grad_norm": 0.6432866454124451,
"learning_rate": 8.876245235966884e-07,
"loss": 0.8236,
"step": 248
},
{
"epoch": 86.95652173913044,
"grad_norm": 0.6188175082206726,
"learning_rate": 8.225609429353187e-07,
"loss": 0.8415,
"step": 250
},
{
"epoch": 86.95652173913044,
"eval_loss": 0.9369013905525208,
"eval_runtime": 4.8226,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 250
},
{
"epoch": 87.65217391304348,
"grad_norm": 0.5841935276985168,
"learning_rate": 7.597595192178702e-07,
"loss": 0.8318,
"step": 252
},
{
"epoch": 88.0,
"eval_loss": 0.9364583492279053,
"eval_runtime": 4.8193,
"eval_samples_per_second": 2.49,
"eval_steps_per_second": 2.49,
"step": 253
},
{
"epoch": 88.34782608695652,
"grad_norm": 0.6125827431678772,
"learning_rate": 6.992542605231739e-07,
"loss": 0.8271,
"step": 254
},
{
"epoch": 88.69565217391305,
"eval_loss": 0.9369893670082092,
"eval_runtime": 4.8228,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 255
},
{
"epoch": 89.04347826086956,
"grad_norm": 0.5938271284103394,
"learning_rate": 6.410779315161885e-07,
"loss": 0.8479,
"step": 256
},
{
"epoch": 89.73913043478261,
"grad_norm": 0.6235251426696777,
"learning_rate": 5.852620357053651e-07,
"loss": 0.8361,
"step": 258
},
{
"epoch": 89.73913043478261,
"eval_loss": 0.9364290237426758,
"eval_runtime": 4.8251,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 258
},
{
"epoch": 90.43478260869566,
"grad_norm": 0.6185177564620972,
"learning_rate": 5.318367983829393e-07,
"loss": 0.8216,
"step": 260
},
{
"epoch": 90.78260869565217,
"eval_loss": 0.9365130066871643,
"eval_runtime": 4.8285,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 261
},
{
"epoch": 91.1304347826087,
"grad_norm": 0.6606243848800659,
"learning_rate": 4.808311502573976e-07,
"loss": 0.8269,
"step": 262
},
{
"epoch": 91.82608695652173,
"grad_norm": 0.6094285845756531,
"learning_rate": 4.322727117869951e-07,
"loss": 0.8387,
"step": 264
},
{
"epoch": 91.82608695652173,
"eval_loss": 0.936617910861969,
"eval_runtime": 4.8322,
"eval_samples_per_second": 2.483,
"eval_steps_per_second": 2.483,
"step": 264
},
{
"epoch": 92.52173913043478,
"grad_norm": 0.6140238642692566,
"learning_rate": 3.8618777822278854e-07,
"loss": 0.8457,
"step": 266
},
{
"epoch": 92.8695652173913,
"eval_loss": 0.9366480708122253,
"eval_runtime": 4.826,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 267
},
{
"epoch": 93.21739130434783,
"grad_norm": 0.7491313219070435,
"learning_rate": 3.426013053692878e-07,
"loss": 0.822,
"step": 268
},
{
"epoch": 93.91304347826087,
"grad_norm": 0.6457171440124512,
"learning_rate": 3.015368960704584e-07,
"loss": 0.8491,
"step": 270
},
{
"epoch": 93.91304347826087,
"eval_loss": 0.9367270469665527,
"eval_runtime": 4.8289,
"eval_samples_per_second": 2.485,
"eval_steps_per_second": 2.485,
"step": 270
},
{
"epoch": 94.6086956521739,
"grad_norm": 0.6033779382705688,
"learning_rate": 2.63016787428354e-07,
"loss": 0.8171,
"step": 272
},
{
"epoch": 94.95652173913044,
"eval_loss": 0.9357192516326904,
"eval_runtime": 4.8259,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 273
},
{
"epoch": 95.30434782608695,
"grad_norm": 0.6807251572608948,
"learning_rate": 2.2706183876134047e-07,
"loss": 0.8514,
"step": 274
},
{
"epoch": 96.0,
"grad_norm": 0.6259418725967407,
"learning_rate": 1.9369152030840553e-07,
"loss": 0.8168,
"step": 276
},
{
"epoch": 96.0,
"eval_loss": 0.9367218017578125,
"eval_runtime": 4.8235,
"eval_samples_per_second": 2.488,
"eval_steps_per_second": 2.488,
"step": 276
},
{
"epoch": 96.69565217391305,
"grad_norm": 0.673136293888092,
"learning_rate": 1.6292390268568103e-07,
"loss": 0.8161,
"step": 278
},
{
"epoch": 96.69565217391305,
"eval_loss": 0.9363929629325867,
"eval_runtime": 4.8214,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 278
},
{
"epoch": 97.3913043478261,
"grad_norm": 0.5515984296798706,
"learning_rate": 1.3477564710088097e-07,
"loss": 0.8442,
"step": 280
},
{
"epoch": 97.73913043478261,
"eval_loss": 0.9356262683868408,
"eval_runtime": 4.8255,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 281
},
{
"epoch": 98.08695652173913,
"grad_norm": 0.6790144443511963,
"learning_rate": 1.0926199633097156e-07,
"loss": 0.8332,
"step": 282
},
{
"epoch": 98.78260869565217,
"grad_norm": 0.5827218890190125,
"learning_rate": 8.639676646793382e-08,
"loss": 0.8388,
"step": 284
},
{
"epoch": 98.78260869565217,
"eval_loss": 0.936260461807251,
"eval_runtime": 4.8222,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 284
},
{
"epoch": 99.47826086956522,
"grad_norm": 0.5916593670845032,
"learning_rate": 6.61923394371039e-08,
"loss": 0.8365,
"step": 286
},
{
"epoch": 99.82608695652173,
"eval_loss": 0.9354831576347351,
"eval_runtime": 4.831,
"eval_samples_per_second": 2.484,
"eval_steps_per_second": 2.484,
"step": 287
},
{
"epoch": 100.17391304347827,
"grad_norm": 0.9281457662582397,
"learning_rate": 4.865965629214819e-08,
"loss": 0.8107,
"step": 288
},
{
"epoch": 100.8695652173913,
"grad_norm": 0.6146421432495117,
"learning_rate": 3.3808211290284886e-08,
"loss": 0.8493,
"step": 290
},
{
"epoch": 100.8695652173913,
"eval_loss": 0.9359912276268005,
"eval_runtime": 4.826,
"eval_samples_per_second": 2.487,
"eval_steps_per_second": 2.487,
"step": 290
},
{
"epoch": 101.56521739130434,
"grad_norm": 0.6010165214538574,
"learning_rate": 2.1646046750978255e-08,
"loss": 0.8267,
"step": 292
},
{
"epoch": 101.91304347826087,
"eval_loss": 0.9354932904243469,
"eval_runtime": 4.8205,
"eval_samples_per_second": 2.489,
"eval_steps_per_second": 2.489,
"step": 293
},
{
"epoch": 102.26086956521739,
"grad_norm": 0.6717774868011475,
"learning_rate": 1.2179748700879013e-08,
"loss": 0.8293,
"step": 294
},
{
"epoch": 102.95652173913044,
"grad_norm": 0.5756195783615112,
"learning_rate": 5.414443307377171e-09,
"loss": 0.8304,
"step": 296
},
{
"epoch": 102.95652173913044,
"eval_loss": 0.9361304640769958,
"eval_runtime": 4.8264,
"eval_samples_per_second": 2.486,
"eval_steps_per_second": 2.486,
"step": 296
},
{
"epoch": 103.65217391304348,
"grad_norm": 0.6329156160354614,
"learning_rate": 1.3537941026914302e-09,
"loss": 0.8216,
"step": 298
},
{
"epoch": 104.0,
"eval_loss": 0.9361245632171631,
"eval_runtime": 4.8193,
"eval_samples_per_second": 2.49,
"eval_steps_per_second": 2.49,
"step": 299
},
{
"epoch": 104.34782608695652,
"grad_norm": 0.6687307953834534,
"learning_rate": 0.0,
"loss": 0.8436,
"step": 300
},
{
"epoch": 104.34782608695652,
"eval_loss": 0.9358415007591248,
"eval_runtime": 4.8451,
"eval_samples_per_second": 2.477,
"eval_steps_per_second": 2.477,
"step": 300
},
{
"epoch": 104.34782608695652,
"step": 300,
"total_flos": 7.184388637222502e+16,
"train_loss": 1.1654362523555755,
"train_runtime": 5630.1569,
"train_samples_per_second": 1.226,
"train_steps_per_second": 0.053
}
],
"logging_steps": 2,
"max_steps": 300,
"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": 7.184388637222502e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}