dalio-all-io-125m-3-epoch / trainer_state.json
AlekseyKorshuk's picture
End of training
6374004
raw
history blame
31.3 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"global_step": 87,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 3e-05,
"loss": 3.1406,
"step": 1
},
{
"epoch": 0.03,
"eval_accuracy": 0.04514027769841723,
"eval_loss": 3.076171875,
"eval_runtime": 2.8635,
"eval_samples_per_second": 30.033,
"eval_steps_per_second": 2.095,
"step": 1
},
{
"epoch": 0.07,
"learning_rate": 3e-05,
"loss": 3.074,
"step": 2
},
{
"epoch": 0.07,
"eval_accuracy": 0.04514027769841723,
"eval_loss": 3.076171875,
"eval_runtime": 2.8038,
"eval_samples_per_second": 30.673,
"eval_steps_per_second": 2.14,
"step": 2
},
{
"epoch": 0.1,
"learning_rate": 3e-05,
"loss": 3.0557,
"step": 3
},
{
"epoch": 0.1,
"eval_accuracy": 0.04514027769841723,
"eval_loss": 3.076171875,
"eval_runtime": 1.812,
"eval_samples_per_second": 47.46,
"eval_steps_per_second": 3.311,
"step": 3
},
{
"epoch": 0.14,
"learning_rate": 2.9990221430845156e-05,
"loss": 3.2166,
"step": 4
},
{
"epoch": 0.14,
"eval_accuracy": 0.045697388720644536,
"eval_loss": 3.017578125,
"eval_runtime": 1.7487,
"eval_samples_per_second": 49.181,
"eval_steps_per_second": 3.431,
"step": 4
},
{
"epoch": 0.17,
"learning_rate": 2.996089847276925e-05,
"loss": 3.0989,
"step": 5
},
{
"epoch": 0.17,
"eval_accuracy": 0.04601165647677276,
"eval_loss": 2.9921875,
"eval_runtime": 2.7561,
"eval_samples_per_second": 31.204,
"eval_steps_per_second": 2.177,
"step": 5
},
{
"epoch": 0.21,
"learning_rate": 2.9912069357315394e-05,
"loss": 3.0732,
"step": 6
},
{
"epoch": 0.21,
"eval_accuracy": 0.04635449402891263,
"eval_loss": 2.974609375,
"eval_runtime": 2.7568,
"eval_samples_per_second": 31.196,
"eval_steps_per_second": 2.176,
"step": 6
},
{
"epoch": 0.24,
"learning_rate": 2.9843797748334563e-05,
"loss": 3.0867,
"step": 7
},
{
"epoch": 0.24,
"eval_accuracy": 0.04628306953888349,
"eval_loss": 2.962890625,
"eval_runtime": 1.7772,
"eval_samples_per_second": 48.39,
"eval_steps_per_second": 3.376,
"step": 7
},
{
"epoch": 0.28,
"learning_rate": 2.975617265898004e-05,
"loss": 2.979,
"step": 8
},
{
"epoch": 0.28,
"eval_accuracy": 0.04668304668304668,
"eval_loss": 2.951171875,
"eval_runtime": 2.0751,
"eval_samples_per_second": 41.444,
"eval_steps_per_second": 2.891,
"step": 8
},
{
"epoch": 0.31,
"learning_rate": 2.96493083356513e-05,
"loss": 3.1838,
"step": 9
},
{
"epoch": 0.31,
"eval_accuracy": 0.04668304668304668,
"eval_loss": 2.94140625,
"eval_runtime": 2.063,
"eval_samples_per_second": 41.687,
"eval_steps_per_second": 2.908,
"step": 9
},
{
"epoch": 0.34,
"learning_rate": 2.952334410903845e-05,
"loss": 2.9399,
"step": 10
},
{
"epoch": 0.34,
"eval_accuracy": 0.04674018627507,
"eval_loss": 2.93359375,
"eval_runtime": 1.7666,
"eval_samples_per_second": 48.681,
"eval_steps_per_second": 3.396,
"step": 10
},
{
"epoch": 0.38,
"learning_rate": 2.937844421246162e-05,
"loss": 2.926,
"step": 11
},
{
"epoch": 0.38,
"eval_accuracy": 0.047125878521227356,
"eval_loss": 2.92578125,
"eval_runtime": 2.0537,
"eval_samples_per_second": 41.875,
"eval_steps_per_second": 2.921,
"step": 11
},
{
"epoch": 0.41,
"learning_rate": 2.9214797567742036e-05,
"loss": 3.2144,
"step": 12
},
{
"epoch": 0.41,
"eval_accuracy": 0.047254442603279816,
"eval_loss": 2.919921875,
"eval_runtime": 1.7851,
"eval_samples_per_second": 48.176,
"eval_steps_per_second": 3.361,
"step": 12
},
{
"epoch": 0.45,
"learning_rate": 2.9032617538884018e-05,
"loss": 2.978,
"step": 13
},
{
"epoch": 0.45,
"eval_accuracy": 0.04735443688932061,
"eval_loss": 2.9140625,
"eval_runtime": 2.7591,
"eval_samples_per_second": 31.17,
"eval_steps_per_second": 2.175,
"step": 13
},
{
"epoch": 0.48,
"learning_rate": 2.8832141653888998e-05,
"loss": 3.0076,
"step": 14
},
{
"epoch": 0.48,
"eval_accuracy": 0.047640134849437174,
"eval_loss": 2.908203125,
"eval_runtime": 2.6767,
"eval_samples_per_second": 32.129,
"eval_steps_per_second": 2.242,
"step": 14
},
{
"epoch": 0.52,
"learning_rate": 2.861363129506436e-05,
"loss": 2.9897,
"step": 15
},
{
"epoch": 0.52,
"eval_accuracy": 0.04772584423747214,
"eval_loss": 2.90234375,
"eval_runtime": 1.7524,
"eval_samples_per_second": 49.075,
"eval_steps_per_second": 3.424,
"step": 15
},
{
"epoch": 0.55,
"learning_rate": 2.8377371358230733e-05,
"loss": 2.8831,
"step": 16
},
{
"epoch": 0.55,
"eval_accuracy": 0.04792583280955374,
"eval_loss": 2.89453125,
"eval_runtime": 2.0593,
"eval_samples_per_second": 41.762,
"eval_steps_per_second": 2.914,
"step": 16
},
{
"epoch": 0.59,
"learning_rate": 2.8123669881272247e-05,
"loss": 2.9749,
"step": 17
},
{
"epoch": 0.59,
"eval_accuracy": 0.04786869321753043,
"eval_loss": 2.88671875,
"eval_runtime": 2.7597,
"eval_samples_per_second": 31.163,
"eval_steps_per_second": 2.174,
"step": 17
},
{
"epoch": 0.62,
"learning_rate": 2.7852857642513838e-05,
"loss": 2.9431,
"step": 18
},
{
"epoch": 0.62,
"eval_accuracy": 0.04776869893148963,
"eval_loss": 2.8828125,
"eval_runtime": 1.7792,
"eval_samples_per_second": 48.336,
"eval_steps_per_second": 3.372,
"step": 18
},
{
"epoch": 0.66,
"learning_rate": 2.7565287729449473e-05,
"loss": 3.0498,
"step": 19
},
{
"epoch": 0.66,
"eval_accuracy": 0.047882978115536254,
"eval_loss": 2.876953125,
"eval_runtime": 2.7592,
"eval_samples_per_second": 31.168,
"eval_steps_per_second": 2.175,
"step": 19
},
{
"epoch": 0.69,
"learning_rate": 2.7261335078383377e-05,
"loss": 2.9409,
"step": 20
},
{
"epoch": 0.69,
"eval_accuracy": 0.047854408319524595,
"eval_loss": 2.87109375,
"eval_runtime": 1.7642,
"eval_samples_per_second": 48.747,
"eval_steps_per_second": 3.401,
"step": 20
},
{
"epoch": 0.72,
"learning_rate": 2.6941395985584656e-05,
"loss": 2.96,
"step": 21
},
{
"epoch": 0.72,
"eval_accuracy": 0.04802582709559454,
"eval_loss": 2.8671875,
"eval_runtime": 1.7801,
"eval_samples_per_second": 48.313,
"eval_steps_per_second": 3.371,
"step": 21
},
{
"epoch": 0.76,
"learning_rate": 2.6605887590592547e-05,
"loss": 3.0767,
"step": 22
},
{
"epoch": 0.76,
"eval_accuracy": 0.04784012342151877,
"eval_loss": 2.86328125,
"eval_runtime": 2.3678,
"eval_samples_per_second": 36.32,
"eval_steps_per_second": 2.534,
"step": 22
},
{
"epoch": 0.79,
"learning_rate": 2.6255247332346036e-05,
"loss": 2.772,
"step": 23
},
{
"epoch": 0.79,
"eval_accuracy": 0.04792583280955374,
"eval_loss": 2.859375,
"eval_runtime": 2.7833,
"eval_samples_per_second": 30.899,
"eval_steps_per_second": 2.156,
"step": 23
},
{
"epoch": 0.83,
"learning_rate": 2.5889932378846963e-05,
"loss": 3.0574,
"step": 24
},
{
"epoch": 0.83,
"eval_accuracy": 0.04801154219758871,
"eval_loss": 2.853515625,
"eval_runtime": 2.7758,
"eval_samples_per_second": 30.982,
"eval_steps_per_second": 2.162,
"step": 24
},
{
"epoch": 0.86,
"learning_rate": 2.5510419031100137e-05,
"loss": 2.8137,
"step": 25
},
{
"epoch": 0.86,
"eval_accuracy": 0.048040111993600365,
"eval_loss": 2.849609375,
"eval_runtime": 2.7701,
"eval_samples_per_second": 31.046,
"eval_steps_per_second": 2.166,
"step": 25
},
{
"epoch": 0.9,
"learning_rate": 2.5117202102107707e-05,
"loss": 2.8872,
"step": 26
},
{
"epoch": 0.9,
"eval_accuracy": 0.048282955259699445,
"eval_loss": 2.84375,
"eval_runtime": 1.7514,
"eval_samples_per_second": 49.103,
"eval_steps_per_second": 3.426,
"step": 26
},
{
"epoch": 0.93,
"learning_rate": 2.4710794271727415e-05,
"loss": 3.0085,
"step": 27
},
{
"epoch": 0.93,
"eval_accuracy": 0.0484115193417519,
"eval_loss": 2.83984375,
"eval_runtime": 1.7625,
"eval_samples_per_second": 48.794,
"eval_steps_per_second": 3.404,
"step": 27
},
{
"epoch": 0.97,
"learning_rate": 2.4291725418235848e-05,
"loss": 2.9165,
"step": 28
},
{
"epoch": 0.97,
"eval_accuracy": 0.0485115136277927,
"eval_loss": 2.8359375,
"eval_runtime": 2.0562,
"eval_samples_per_second": 41.824,
"eval_steps_per_second": 2.918,
"step": 28
},
{
"epoch": 1.0,
"learning_rate": 2.3860541927468265e-05,
"loss": 2.8525,
"step": 29
},
{
"epoch": 1.0,
"eval_accuracy": 0.04861150791383349,
"eval_loss": 2.833984375,
"eval_runtime": 2.0728,
"eval_samples_per_second": 41.49,
"eval_steps_per_second": 2.895,
"step": 29
},
{
"epoch": 1.03,
"learning_rate": 2.341780598043574e-05,
"loss": 2.7759,
"step": 30
},
{
"epoch": 1.03,
"eval_accuracy": 0.04845437403576938,
"eval_loss": 2.830078125,
"eval_runtime": 1.7727,
"eval_samples_per_second": 48.512,
"eval_steps_per_second": 3.385,
"step": 30
},
{
"epoch": 1.07,
"learning_rate": 2.2964094820348302e-05,
"loss": 2.7312,
"step": 31
},
{
"epoch": 1.07,
"eval_accuracy": 0.048497228729786866,
"eval_loss": 2.828125,
"eval_runtime": 1.7542,
"eval_samples_per_second": 49.026,
"eval_steps_per_second": 3.42,
"step": 31
},
{
"epoch": 1.1,
"learning_rate": 2.25e-05,
"loss": 2.6641,
"step": 32
},
{
"epoch": 1.1,
"eval_accuracy": 0.04866864750585681,
"eval_loss": 2.826171875,
"eval_runtime": 2.6551,
"eval_samples_per_second": 32.39,
"eval_steps_per_second": 2.26,
"step": 32
},
{
"epoch": 1.14,
"learning_rate": 2.2026126610496852e-05,
"loss": 2.7896,
"step": 33
},
{
"epoch": 1.14,
"eval_accuracy": 0.04855436832181018,
"eval_loss": 2.82421875,
"eval_runtime": 1.7664,
"eval_samples_per_second": 48.686,
"eval_steps_per_second": 3.397,
"step": 33
},
{
"epoch": 1.17,
"learning_rate": 2.154309249233351e-05,
"loss": 2.7878,
"step": 34
},
{
"epoch": 1.17,
"eval_accuracy": 0.04866864750585681,
"eval_loss": 2.822265625,
"eval_runtime": 1.7584,
"eval_samples_per_second": 48.909,
"eval_steps_per_second": 3.412,
"step": 34
},
{
"epoch": 1.21,
"learning_rate": 2.105152742984713e-05,
"loss": 2.4028,
"step": 35
},
{
"epoch": 1.21,
"eval_accuracy": 0.04869721730186846,
"eval_loss": 2.8203125,
"eval_runtime": 2.7671,
"eval_samples_per_second": 31.08,
"eval_steps_per_second": 2.168,
"step": 35
},
{
"epoch": 1.24,
"learning_rate": 2.055207233009872e-05,
"loss": 2.5618,
"step": 36
},
{
"epoch": 1.24,
"eval_accuracy": 0.04878292668990344,
"eval_loss": 2.818359375,
"eval_runtime": 1.7727,
"eval_samples_per_second": 48.514,
"eval_steps_per_second": 3.385,
"step": 36
},
{
"epoch": 1.28,
"learning_rate": 2.0045378387252624e-05,
"loss": 2.6697,
"step": 37
},
{
"epoch": 1.28,
"eval_accuracy": 0.04875435689389178,
"eval_loss": 2.81640625,
"eval_runtime": 2.7791,
"eval_samples_per_second": 30.945,
"eval_steps_per_second": 2.159,
"step": 37
},
{
"epoch": 1.31,
"learning_rate": 1.953210623354359e-05,
"loss": 2.6333,
"step": 38
},
{
"epoch": 1.31,
"eval_accuracy": 0.048711502199874294,
"eval_loss": 2.814453125,
"eval_runtime": 2.7731,
"eval_samples_per_second": 31.012,
"eval_steps_per_second": 2.164,
"step": 38
},
{
"epoch": 1.34,
"learning_rate": 1.9012925077938318e-05,
"loss": 2.4897,
"step": 39
},
{
"epoch": 1.34,
"eval_accuracy": 0.04858293811782184,
"eval_loss": 2.8125,
"eval_runtime": 2.7903,
"eval_samples_per_second": 30.821,
"eval_steps_per_second": 2.15,
"step": 39
},
{
"epoch": 1.38,
"learning_rate": 1.848851183361466e-05,
"loss": 2.4908,
"step": 40
},
{
"epoch": 1.38,
"eval_accuracy": 0.04865436260785098,
"eval_loss": 2.810546875,
"eval_runtime": 2.7759,
"eval_samples_per_second": 30.981,
"eval_steps_per_second": 2.161,
"step": 40
},
{
"epoch": 1.41,
"learning_rate": 1.7959550235396002e-05,
"loss": 2.6926,
"step": 41
},
{
"epoch": 1.41,
"eval_accuracy": 0.048768641791897605,
"eval_loss": 2.80859375,
"eval_runtime": 2.6681,
"eval_samples_per_second": 32.233,
"eval_steps_per_second": 2.249,
"step": 41
},
{
"epoch": 1.45,
"learning_rate": 1.7426729948291474e-05,
"loss": 2.6602,
"step": 42
},
{
"epoch": 1.45,
"eval_accuracy": 0.048868636077938406,
"eval_loss": 2.806640625,
"eval_runtime": 1.7824,
"eval_samples_per_second": 48.25,
"eval_steps_per_second": 3.366,
"step": 42
},
{
"epoch": 1.48,
"learning_rate": 1.689074566830434e-05,
"loss": 2.8054,
"step": 43
},
{
"epoch": 1.48,
"eval_accuracy": 0.04885435117993257,
"eval_loss": 2.8046875,
"eval_runtime": 2.6637,
"eval_samples_per_second": 32.286,
"eval_steps_per_second": 2.253,
"step": 43
},
{
"epoch": 1.52,
"learning_rate": 1.635229621668098e-05,
"loss": 2.5532,
"step": 44
},
{
"epoch": 1.52,
"eval_accuracy": 0.048954345465973374,
"eval_loss": 2.8046875,
"eval_runtime": 2.7813,
"eval_samples_per_second": 30.921,
"eval_steps_per_second": 2.157,
"step": 44
},
{
"epoch": 1.55,
"learning_rate": 1.5812083628781265e-05,
"loss": 2.4756,
"step": 45
},
{
"epoch": 1.55,
"eval_accuracy": 0.04906862465002,
"eval_loss": 2.802734375,
"eval_runtime": 2.3836,
"eval_samples_per_second": 36.08,
"eval_steps_per_second": 2.517,
"step": 45
},
{
"epoch": 1.59,
"learning_rate": 1.5270812238758407e-05,
"loss": 2.6123,
"step": 46
},
{
"epoch": 1.59,
"eval_accuracy": 0.04912576424204331,
"eval_loss": 2.80078125,
"eval_runtime": 1.7527,
"eval_samples_per_second": 49.068,
"eval_steps_per_second": 3.423,
"step": 46
},
{
"epoch": 1.62,
"learning_rate": 1.4729187761241592e-05,
"loss": 2.5117,
"step": 47
},
{
"epoch": 1.62,
"eval_accuracy": 0.04902576995600252,
"eval_loss": 2.798828125,
"eval_runtime": 1.7703,
"eval_samples_per_second": 48.579,
"eval_steps_per_second": 3.389,
"step": 47
},
{
"epoch": 1.66,
"learning_rate": 1.4187916371218739e-05,
"loss": 2.5552,
"step": 48
},
{
"epoch": 1.66,
"eval_accuracy": 0.04904005485400834,
"eval_loss": 2.796875,
"eval_runtime": 2.7807,
"eval_samples_per_second": 30.928,
"eval_steps_per_second": 2.158,
"step": 48
},
{
"epoch": 1.69,
"learning_rate": 1.3647703783319022e-05,
"loss": 2.5122,
"step": 49
},
{
"epoch": 1.69,
"eval_accuracy": 0.04902576995600252,
"eval_loss": 2.794921875,
"eval_runtime": 1.7675,
"eval_samples_per_second": 48.658,
"eval_steps_per_second": 3.395,
"step": 49
},
{
"epoch": 1.72,
"learning_rate": 1.310925433169566e-05,
"loss": 2.5593,
"step": 50
},
{
"epoch": 1.72,
"eval_accuracy": 0.04909719444603165,
"eval_loss": 2.79296875,
"eval_runtime": 1.7524,
"eval_samples_per_second": 49.077,
"eval_steps_per_second": 3.424,
"step": 50
},
{
"epoch": 1.76,
"learning_rate": 1.2573270051708529e-05,
"loss": 2.5759,
"step": 51
},
{
"epoch": 1.76,
"eval_accuracy": 0.04909719444603165,
"eval_loss": 2.791015625,
"eval_runtime": 2.7672,
"eval_samples_per_second": 31.079,
"eval_steps_per_second": 2.168,
"step": 51
},
{
"epoch": 1.79,
"learning_rate": 1.2040449764604002e-05,
"loss": 2.5535,
"step": 52
},
{
"epoch": 1.79,
"eval_accuracy": 0.04929718301811325,
"eval_loss": 2.7890625,
"eval_runtime": 2.6669,
"eval_samples_per_second": 32.247,
"eval_steps_per_second": 2.25,
"step": 52
},
{
"epoch": 1.83,
"learning_rate": 1.1511488166385349e-05,
"loss": 2.6531,
"step": 53
},
{
"epoch": 1.83,
"eval_accuracy": 0.04939717730415405,
"eval_loss": 2.787109375,
"eval_runtime": 2.0564,
"eval_samples_per_second": 41.821,
"eval_steps_per_second": 2.918,
"step": 53
},
{
"epoch": 1.86,
"learning_rate": 1.098707492206169e-05,
"loss": 2.5701,
"step": 54
},
{
"epoch": 1.86,
"eval_accuracy": 0.0495257413862065,
"eval_loss": 2.78515625,
"eval_runtime": 1.7609,
"eval_samples_per_second": 48.84,
"eval_steps_per_second": 3.407,
"step": 54
},
{
"epoch": 1.9,
"learning_rate": 1.0467893766456408e-05,
"loss": 2.6621,
"step": 55
},
{
"epoch": 1.9,
"eval_accuracy": 0.049654305468258955,
"eval_loss": 2.783203125,
"eval_runtime": 2.0679,
"eval_samples_per_second": 41.587,
"eval_steps_per_second": 2.901,
"step": 55
},
{
"epoch": 1.93,
"learning_rate": 9.954621612747371e-06,
"loss": 2.532,
"step": 56
},
{
"epoch": 1.93,
"eval_accuracy": 0.04958288097822981,
"eval_loss": 2.78125,
"eval_runtime": 1.7708,
"eval_samples_per_second": 48.565,
"eval_steps_per_second": 3.388,
"step": 56
},
{
"epoch": 1.97,
"learning_rate": 9.447927669901284e-06,
"loss": 2.5928,
"step": 57
},
{
"epoch": 1.97,
"eval_accuracy": 0.049654305468258955,
"eval_loss": 2.779296875,
"eval_runtime": 1.752,
"eval_samples_per_second": 49.086,
"eval_steps_per_second": 3.425,
"step": 57
},
{
"epoch": 2.0,
"learning_rate": 8.948472570152874e-06,
"loss": 2.5486,
"step": 58
},
{
"epoch": 2.0,
"eval_accuracy": 0.04969716016227644,
"eval_loss": 2.775390625,
"eval_runtime": 1.768,
"eval_samples_per_second": 48.642,
"eval_steps_per_second": 3.394,
"step": 58
},
{
"epoch": 2.03,
"learning_rate": 8.456907507666488e-06,
"loss": 2.5009,
"step": 59
},
{
"epoch": 2.03,
"eval_accuracy": 0.0497257299582881,
"eval_loss": 2.7734375,
"eval_runtime": 2.6592,
"eval_samples_per_second": 32.341,
"eval_steps_per_second": 2.256,
"step": 59
},
{
"epoch": 2.07,
"learning_rate": 7.97387338950315e-06,
"loss": 2.4346,
"step": 60
},
{
"epoch": 2.07,
"eval_accuracy": 0.049754299754299756,
"eval_loss": 2.7734375,
"eval_runtime": 1.77,
"eval_samples_per_second": 48.588,
"eval_steps_per_second": 3.39,
"step": 60
},
{
"epoch": 2.1,
"learning_rate": 7.500000000000004e-06,
"loss": 2.3259,
"step": 61
},
{
"epoch": 2.1,
"eval_accuracy": 0.049740014856293924,
"eval_loss": 2.771484375,
"eval_runtime": 2.7629,
"eval_samples_per_second": 31.127,
"eval_steps_per_second": 2.172,
"step": 61
},
{
"epoch": 2.14,
"learning_rate": 7.035905179651701e-06,
"loss": 2.3569,
"step": 62
},
{
"epoch": 2.14,
"eval_accuracy": 0.04978286955031141,
"eval_loss": 2.76953125,
"eval_runtime": 2.7575,
"eval_samples_per_second": 31.187,
"eval_steps_per_second": 2.176,
"step": 62
},
{
"epoch": 2.17,
"learning_rate": 6.582194019564266e-06,
"loss": 2.5898,
"step": 63
},
{
"epoch": 2.17,
"eval_accuracy": 0.049811439346323066,
"eval_loss": 2.76953125,
"eval_runtime": 1.7477,
"eval_samples_per_second": 49.209,
"eval_steps_per_second": 3.433,
"step": 63
},
{
"epoch": 2.21,
"learning_rate": 6.1394580725317366e-06,
"loss": 2.3657,
"step": 64
},
{
"epoch": 2.21,
"eval_accuracy": 0.04976858465230558,
"eval_loss": 2.767578125,
"eval_runtime": 1.7819,
"eval_samples_per_second": 48.263,
"eval_steps_per_second": 3.367,
"step": 64
},
{
"epoch": 2.24,
"learning_rate": 5.708274581764155e-06,
"loss": 2.4875,
"step": 65
},
{
"epoch": 2.24,
"eval_accuracy": 0.049754299754299756,
"eval_loss": 2.767578125,
"eval_runtime": 2.7652,
"eval_samples_per_second": 31.1,
"eval_steps_per_second": 2.17,
"step": 65
},
{
"epoch": 2.28,
"learning_rate": 5.289205728272587e-06,
"loss": 2.4392,
"step": 66
},
{
"epoch": 2.28,
"eval_accuracy": 0.0497257299582881,
"eval_loss": 2.767578125,
"eval_runtime": 2.0654,
"eval_samples_per_second": 41.638,
"eval_steps_per_second": 2.905,
"step": 66
},
{
"epoch": 2.31,
"learning_rate": 4.882797897892293e-06,
"loss": 2.3595,
"step": 67
},
{
"epoch": 2.31,
"eval_accuracy": 0.0497257299582881,
"eval_loss": 2.765625,
"eval_runtime": 2.674,
"eval_samples_per_second": 32.162,
"eval_steps_per_second": 2.244,
"step": 67
},
{
"epoch": 2.34,
"learning_rate": 4.4895809688998655e-06,
"loss": 2.4757,
"step": 68
},
{
"epoch": 2.34,
"eval_accuracy": 0.049811439346323066,
"eval_loss": 2.765625,
"eval_runtime": 2.7575,
"eval_samples_per_second": 31.187,
"eval_steps_per_second": 2.176,
"step": 68
},
{
"epoch": 2.38,
"learning_rate": 4.110067621153041e-06,
"loss": 2.4617,
"step": 69
},
{
"epoch": 2.38,
"eval_accuracy": 0.049811439346323066,
"eval_loss": 2.765625,
"eval_runtime": 2.7642,
"eval_samples_per_second": 31.112,
"eval_steps_per_second": 2.171,
"step": 69
},
{
"epoch": 2.41,
"learning_rate": 3.744752667653965e-06,
"loss": 2.3376,
"step": 70
},
{
"epoch": 2.41,
"eval_accuracy": 0.049925718530369693,
"eval_loss": 2.765625,
"eval_runtime": 1.7636,
"eval_samples_per_second": 48.763,
"eval_steps_per_second": 3.402,
"step": 70
},
{
"epoch": 2.45,
"learning_rate": 3.394112409407455e-06,
"loss": 2.3129,
"step": 71
},
{
"epoch": 2.45,
"eval_accuracy": 0.04982572424432889,
"eval_loss": 2.765625,
"eval_runtime": 2.0925,
"eval_samples_per_second": 41.099,
"eval_steps_per_second": 2.867,
"step": 71
},
{
"epoch": 2.48,
"learning_rate": 3.0586040144153436e-06,
"loss": 2.5703,
"step": 72
},
{
"epoch": 2.48,
"eval_accuracy": 0.04979715444831724,
"eval_loss": 2.765625,
"eval_runtime": 1.7604,
"eval_samples_per_second": 48.851,
"eval_steps_per_second": 3.408,
"step": 72
},
{
"epoch": 2.52,
"learning_rate": 2.7386649216166233e-06,
"loss": 2.3491,
"step": 73
},
{
"epoch": 2.52,
"eval_accuracy": 0.049811439346323066,
"eval_loss": 2.765625,
"eval_runtime": 2.7645,
"eval_samples_per_second": 31.109,
"eval_steps_per_second": 2.17,
"step": 73
},
{
"epoch": 2.55,
"learning_rate": 2.4347122705505303e-06,
"loss": 2.3484,
"step": 74
},
{
"epoch": 2.55,
"eval_accuracy": 0.049754299754299756,
"eval_loss": 2.765625,
"eval_runtime": 2.7683,
"eval_samples_per_second": 31.066,
"eval_steps_per_second": 2.167,
"step": 74
},
{
"epoch": 2.59,
"learning_rate": 2.1471423574861643e-06,
"loss": 2.3782,
"step": 75
},
{
"epoch": 2.59,
"eval_accuracy": 0.049740014856293924,
"eval_loss": 2.765625,
"eval_runtime": 1.7554,
"eval_samples_per_second": 48.991,
"eval_steps_per_second": 3.418,
"step": 75
},
{
"epoch": 2.62,
"learning_rate": 1.8763301187277554e-06,
"loss": 2.4033,
"step": 76
},
{
"epoch": 2.62,
"eval_accuracy": 0.04979715444831724,
"eval_loss": 2.765625,
"eval_runtime": 2.7591,
"eval_samples_per_second": 31.17,
"eval_steps_per_second": 2.175,
"step": 76
},
{
"epoch": 2.66,
"learning_rate": 1.6226286417692666e-06,
"loss": 2.3821,
"step": 77
},
{
"epoch": 2.66,
"eval_accuracy": 0.04976858465230558,
"eval_loss": 2.765625,
"eval_runtime": 1.7671,
"eval_samples_per_second": 48.668,
"eval_steps_per_second": 3.395,
"step": 77
},
{
"epoch": 2.69,
"learning_rate": 1.3863687049356465e-06,
"loss": 2.39,
"step": 78
},
{
"epoch": 2.69,
"eval_accuracy": 0.04979715444831724,
"eval_loss": 2.765625,
"eval_runtime": 1.7638,
"eval_samples_per_second": 48.758,
"eval_steps_per_second": 3.402,
"step": 78
},
{
"epoch": 2.72,
"learning_rate": 1.1678583461110026e-06,
"loss": 2.3984,
"step": 79
},
{
"epoch": 2.72,
"eval_accuracy": 0.049740014856293924,
"eval_loss": 2.765625,
"eval_runtime": 2.774,
"eval_samples_per_second": 31.002,
"eval_steps_per_second": 2.163,
"step": 79
},
{
"epoch": 2.76,
"learning_rate": 9.67382461115986e-07,
"loss": 2.3936,
"step": 80
},
{
"epoch": 2.76,
"eval_accuracy": 0.049754299754299756,
"eval_loss": 2.765625,
"eval_runtime": 2.0608,
"eval_samples_per_second": 41.732,
"eval_steps_per_second": 2.912,
"step": 80
},
{
"epoch": 2.79,
"learning_rate": 7.852024322579649e-07,
"loss": 2.4414,
"step": 81
},
{
"epoch": 2.79,
"eval_accuracy": 0.0497257299582881,
"eval_loss": 2.765625,
"eval_runtime": 2.3621,
"eval_samples_per_second": 36.408,
"eval_steps_per_second": 2.54,
"step": 81
},
{
"epoch": 2.83,
"learning_rate": 6.215557875383804e-07,
"loss": 2.4727,
"step": 82
},
{
"epoch": 2.83,
"eval_accuracy": 0.04969716016227644,
"eval_loss": 2.765625,
"eval_runtime": 2.7992,
"eval_samples_per_second": 30.723,
"eval_steps_per_second": 2.143,
"step": 82
},
{
"epoch": 2.86,
"learning_rate": 4.766558909615504e-07,
"loss": 2.3192,
"step": 83
},
{
"epoch": 2.86,
"eval_accuracy": 0.04971144506028227,
"eval_loss": 2.765625,
"eval_runtime": 2.0548,
"eval_samples_per_second": 41.853,
"eval_steps_per_second": 2.92,
"step": 83
},
{
"epoch": 2.9,
"learning_rate": 3.5069166434870014e-07,
"loss": 2.4365,
"step": 84
},
{
"epoch": 2.9,
"eval_accuracy": 0.04966859036626479,
"eval_loss": 2.765625,
"eval_runtime": 1.7544,
"eval_samples_per_second": 49.02,
"eval_steps_per_second": 3.42,
"step": 84
},
{
"epoch": 2.93,
"learning_rate": 2.438273410199598e-07,
"loss": 2.5042,
"step": 85
},
{
"epoch": 2.93,
"eval_accuracy": 0.04969716016227644,
"eval_loss": 2.765625,
"eval_runtime": 1.7715,
"eval_samples_per_second": 48.545,
"eval_steps_per_second": 3.387,
"step": 85
},
{
"epoch": 2.97,
"learning_rate": 1.5620225166544155e-07,
"loss": 2.4746,
"step": 86
},
{
"epoch": 2.97,
"eval_accuracy": 0.04966859036626479,
"eval_loss": 2.765625,
"eval_runtime": 1.772,
"eval_samples_per_second": 48.534,
"eval_steps_per_second": 3.386,
"step": 86
},
{
"epoch": 3.0,
"learning_rate": 8.793064268460605e-08,
"loss": 2.5383,
"step": 87
},
{
"epoch": 3.0,
"eval_accuracy": 0.049654305468258955,
"eval_loss": 2.765625,
"eval_runtime": 1.7578,
"eval_samples_per_second": 48.924,
"eval_steps_per_second": 3.413,
"step": 87
},
{
"epoch": 3.0,
"step": 87,
"total_flos": 902636273664.0,
"train_loss": 2.6778283831716956,
"train_runtime": 390.8223,
"train_samples_per_second": 3.523,
"train_steps_per_second": 0.223
}
],
"max_steps": 87,
"num_train_epochs": 3,
"total_flos": 902636273664.0,
"trial_name": null,
"trial_params": null
}