GaetanMichelet's picture
Model save
32b6b91 verified
raw
history blame
No virus
12.5 kB
{
"best_metric": 1.0304415225982666,
"best_model_checkpoint": "data/Llama-31-8B_task-2_60-samples_config-1_full_auto/checkpoint-51",
"epoch": 16.0,
"eval_steps": 500,
"global_step": 92,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17391304347826086,
"grad_norm": 0.48074769973754883,
"learning_rate": 4.000000000000001e-06,
"loss": 1.5183,
"step": 1
},
{
"epoch": 0.34782608695652173,
"grad_norm": 0.505738377571106,
"learning_rate": 8.000000000000001e-06,
"loss": 1.5413,
"step": 2
},
{
"epoch": 0.6956521739130435,
"grad_norm": 0.41624435782432556,
"learning_rate": 1.6000000000000003e-05,
"loss": 1.4989,
"step": 4
},
{
"epoch": 0.8695652173913043,
"eval_loss": 1.5038822889328003,
"eval_runtime": 13.341,
"eval_samples_per_second": 0.899,
"eval_steps_per_second": 0.899,
"step": 5
},
{
"epoch": 1.0434782608695652,
"grad_norm": 0.39714130759239197,
"learning_rate": 2.4e-05,
"loss": 1.486,
"step": 6
},
{
"epoch": 1.391304347826087,
"grad_norm": 0.4315492808818817,
"learning_rate": 3.2000000000000005e-05,
"loss": 1.4793,
"step": 8
},
{
"epoch": 1.7391304347826086,
"grad_norm": 0.32971909642219543,
"learning_rate": 4e-05,
"loss": 1.4648,
"step": 10
},
{
"epoch": 1.9130434782608696,
"eval_loss": 1.4134074449539185,
"eval_runtime": 13.3423,
"eval_samples_per_second": 0.899,
"eval_steps_per_second": 0.899,
"step": 11
},
{
"epoch": 2.0869565217391304,
"grad_norm": 0.31074926257133484,
"learning_rate": 4.8e-05,
"loss": 1.4197,
"step": 12
},
{
"epoch": 2.4347826086956523,
"grad_norm": 0.29383906722068787,
"learning_rate": 5.6000000000000006e-05,
"loss": 1.3327,
"step": 14
},
{
"epoch": 2.782608695652174,
"grad_norm": 0.24202194809913635,
"learning_rate": 6.400000000000001e-05,
"loss": 1.3625,
"step": 16
},
{
"epoch": 2.9565217391304346,
"eval_loss": 1.3140901327133179,
"eval_runtime": 13.3414,
"eval_samples_per_second": 0.899,
"eval_steps_per_second": 0.899,
"step": 17
},
{
"epoch": 3.130434782608696,
"grad_norm": 0.23953472077846527,
"learning_rate": 7.2e-05,
"loss": 1.2689,
"step": 18
},
{
"epoch": 3.4782608695652173,
"grad_norm": 0.28205573558807373,
"learning_rate": 8e-05,
"loss": 1.2562,
"step": 20
},
{
"epoch": 3.8260869565217392,
"grad_norm": 0.26320216059684753,
"learning_rate": 8.800000000000001e-05,
"loss": 1.2061,
"step": 22
},
{
"epoch": 4.0,
"eval_loss": 1.2031677961349487,
"eval_runtime": 13.341,
"eval_samples_per_second": 0.899,
"eval_steps_per_second": 0.899,
"step": 23
},
{
"epoch": 4.173913043478261,
"grad_norm": 0.2358018457889557,
"learning_rate": 9.6e-05,
"loss": 1.2057,
"step": 24
},
{
"epoch": 4.521739130434782,
"grad_norm": 0.25525736808776855,
"learning_rate": 9.999512620046522e-05,
"loss": 1.1367,
"step": 26
},
{
"epoch": 4.869565217391305,
"grad_norm": 0.2895725667476654,
"learning_rate": 9.995614150494293e-05,
"loss": 1.078,
"step": 28
},
{
"epoch": 4.869565217391305,
"eval_loss": 1.11207914352417,
"eval_runtime": 13.3388,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 28
},
{
"epoch": 5.217391304347826,
"grad_norm": 0.22301903367042542,
"learning_rate": 9.987820251299122e-05,
"loss": 1.0003,
"step": 30
},
{
"epoch": 5.565217391304348,
"grad_norm": 0.24768684804439545,
"learning_rate": 9.976136999909156e-05,
"loss": 1.0534,
"step": 32
},
{
"epoch": 5.913043478260869,
"grad_norm": 0.20074968039989471,
"learning_rate": 9.96057350657239e-05,
"loss": 0.9963,
"step": 34
},
{
"epoch": 5.913043478260869,
"eval_loss": 1.064919352531433,
"eval_runtime": 13.3389,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 34
},
{
"epoch": 6.260869565217392,
"grad_norm": 0.15861091017723083,
"learning_rate": 9.941141907232765e-05,
"loss": 0.9747,
"step": 36
},
{
"epoch": 6.608695652173913,
"grad_norm": 0.1833048015832901,
"learning_rate": 9.917857354066931e-05,
"loss": 0.9961,
"step": 38
},
{
"epoch": 6.956521739130435,
"grad_norm": 0.16213782131671906,
"learning_rate": 9.890738003669029e-05,
"loss": 0.9285,
"step": 40
},
{
"epoch": 6.956521739130435,
"eval_loss": 1.0478910207748413,
"eval_runtime": 13.3386,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 40
},
{
"epoch": 7.304347826086957,
"grad_norm": 0.16214072704315186,
"learning_rate": 9.859805002892732e-05,
"loss": 0.9914,
"step": 42
},
{
"epoch": 7.6521739130434785,
"grad_norm": 0.16307196021080017,
"learning_rate": 9.825082472361557e-05,
"loss": 0.926,
"step": 44
},
{
"epoch": 8.0,
"grad_norm": 0.1733638346195221,
"learning_rate": 9.786597487660337e-05,
"loss": 0.9295,
"step": 46
},
{
"epoch": 8.0,
"eval_loss": 1.03597891330719,
"eval_runtime": 13.3382,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 46
},
{
"epoch": 8.347826086956522,
"grad_norm": 0.15826472640037537,
"learning_rate": 9.744380058222483e-05,
"loss": 0.93,
"step": 48
},
{
"epoch": 8.695652173913043,
"grad_norm": 0.19020269811153412,
"learning_rate": 9.698463103929542e-05,
"loss": 0.9178,
"step": 50
},
{
"epoch": 8.869565217391305,
"eval_loss": 1.0304415225982666,
"eval_runtime": 13.3423,
"eval_samples_per_second": 0.899,
"eval_steps_per_second": 0.899,
"step": 51
},
{
"epoch": 9.043478260869565,
"grad_norm": 0.17504218220710754,
"learning_rate": 9.648882429441257e-05,
"loss": 0.8981,
"step": 52
},
{
"epoch": 9.391304347826088,
"grad_norm": 0.17990776896476746,
"learning_rate": 9.595676696276172e-05,
"loss": 0.8507,
"step": 54
},
{
"epoch": 9.73913043478261,
"grad_norm": 0.19232700765132904,
"learning_rate": 9.538887392664544e-05,
"loss": 0.9031,
"step": 56
},
{
"epoch": 9.91304347826087,
"eval_loss": 1.0313078165054321,
"eval_runtime": 13.3388,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 57
},
{
"epoch": 10.08695652173913,
"grad_norm": 0.20676805078983307,
"learning_rate": 9.478558801197065e-05,
"loss": 0.895,
"step": 58
},
{
"epoch": 10.434782608695652,
"grad_norm": 0.20512782037258148,
"learning_rate": 9.414737964294636e-05,
"loss": 0.8544,
"step": 60
},
{
"epoch": 10.782608695652174,
"grad_norm": 0.24138331413269043,
"learning_rate": 9.347474647526095e-05,
"loss": 0.8224,
"step": 62
},
{
"epoch": 10.956521739130435,
"eval_loss": 1.0367116928100586,
"eval_runtime": 13.3416,
"eval_samples_per_second": 0.899,
"eval_steps_per_second": 0.899,
"step": 63
},
{
"epoch": 11.130434782608695,
"grad_norm": 0.2503072917461395,
"learning_rate": 9.276821300802534e-05,
"loss": 0.7976,
"step": 64
},
{
"epoch": 11.478260869565217,
"grad_norm": 0.24119675159454346,
"learning_rate": 9.202833017478422e-05,
"loss": 0.8636,
"step": 66
},
{
"epoch": 11.826086956521738,
"grad_norm": 0.26098811626434326,
"learning_rate": 9.125567491391476e-05,
"loss": 0.7715,
"step": 68
},
{
"epoch": 12.0,
"eval_loss": 1.0481574535369873,
"eval_runtime": 13.339,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 69
},
{
"epoch": 12.173913043478262,
"grad_norm": 0.2629372477531433,
"learning_rate": 9.045084971874738e-05,
"loss": 0.7858,
"step": 70
},
{
"epoch": 12.521739130434783,
"grad_norm": 0.32179731130599976,
"learning_rate": 8.961448216775954e-05,
"loss": 0.7089,
"step": 72
},
{
"epoch": 12.869565217391305,
"grad_norm": 0.3544606566429138,
"learning_rate": 8.874722443520899e-05,
"loss": 0.7775,
"step": 74
},
{
"epoch": 12.869565217391305,
"eval_loss": 1.0639878511428833,
"eval_runtime": 13.3461,
"eval_samples_per_second": 0.899,
"eval_steps_per_second": 0.899,
"step": 74
},
{
"epoch": 13.217391304347826,
"grad_norm": 0.35958898067474365,
"learning_rate": 8.784975278258783e-05,
"loss": 0.7168,
"step": 76
},
{
"epoch": 13.565217391304348,
"grad_norm": 0.39202362298965454,
"learning_rate": 8.692276703129421e-05,
"loss": 0.7192,
"step": 78
},
{
"epoch": 13.91304347826087,
"grad_norm": 0.49485886096954346,
"learning_rate": 8.596699001693255e-05,
"loss": 0.6631,
"step": 80
},
{
"epoch": 13.91304347826087,
"eval_loss": 1.1064558029174805,
"eval_runtime": 13.3403,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 80
},
{
"epoch": 14.26086956521739,
"grad_norm": 0.593677818775177,
"learning_rate": 8.498316702566828e-05,
"loss": 0.6085,
"step": 82
},
{
"epoch": 14.608695652173914,
"grad_norm": 0.5239640474319458,
"learning_rate": 8.397206521307584e-05,
"loss": 0.6042,
"step": 84
},
{
"epoch": 14.956521739130435,
"grad_norm": 0.4839284420013428,
"learning_rate": 8.293447300593402e-05,
"loss": 0.6127,
"step": 86
},
{
"epoch": 14.956521739130435,
"eval_loss": 1.138205647468567,
"eval_runtime": 13.3379,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 86
},
{
"epoch": 15.304347826086957,
"grad_norm": 0.7064086198806763,
"learning_rate": 8.18711994874345e-05,
"loss": 0.5708,
"step": 88
},
{
"epoch": 15.652173913043478,
"grad_norm": 0.638302743434906,
"learning_rate": 8.07830737662829e-05,
"loss": 0.457,
"step": 90
},
{
"epoch": 16.0,
"grad_norm": 1.1838070154190063,
"learning_rate": 7.967094433018508e-05,
"loss": 0.6162,
"step": 92
},
{
"epoch": 16.0,
"eval_loss": 1.1659694910049438,
"eval_runtime": 13.3387,
"eval_samples_per_second": 0.9,
"eval_steps_per_second": 0.9,
"step": 92
},
{
"epoch": 16.0,
"step": 92,
"total_flos": 7.404745111109632e+16,
"train_loss": 0.9753571735775989,
"train_runtime": 2647.2901,
"train_samples_per_second": 0.869,
"train_steps_per_second": 0.094
}
],
"logging_steps": 2,
"max_steps": 250,
"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": 7.404745111109632e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}