RoyJoy's picture
Training in progress, step 50, checkpoint
d646ad1 verified
{
"best_metric": 1.314715027809143,
"best_model_checkpoint": "miner_id_24/checkpoint-50",
"epoch": 0.02348037920812421,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0004696075841624842,
"grad_norm": 1.1471283435821533,
"learning_rate": 5e-05,
"loss": 2.3028,
"step": 1
},
{
"epoch": 0.0004696075841624842,
"eval_loss": 2.3973193168640137,
"eval_runtime": 409.6335,
"eval_samples_per_second": 35.022,
"eval_steps_per_second": 4.38,
"step": 1
},
{
"epoch": 0.0009392151683249684,
"grad_norm": 1.2805126905441284,
"learning_rate": 0.0001,
"loss": 2.3099,
"step": 2
},
{
"epoch": 0.0014088227524874527,
"grad_norm": 1.2114781141281128,
"learning_rate": 9.989294616193017e-05,
"loss": 2.1535,
"step": 3
},
{
"epoch": 0.0018784303366499368,
"grad_norm": 1.1774989366531372,
"learning_rate": 9.957224306869053e-05,
"loss": 2.0386,
"step": 4
},
{
"epoch": 0.002348037920812421,
"grad_norm": 0.9971995949745178,
"learning_rate": 9.903926402016153e-05,
"loss": 1.9225,
"step": 5
},
{
"epoch": 0.0028176455049749053,
"grad_norm": 0.8790279626846313,
"learning_rate": 9.829629131445342e-05,
"loss": 1.794,
"step": 6
},
{
"epoch": 0.0032872530891373897,
"grad_norm": 1.1751753091812134,
"learning_rate": 9.73465064747553e-05,
"loss": 1.6115,
"step": 7
},
{
"epoch": 0.0037568606732998736,
"grad_norm": 1.080180048942566,
"learning_rate": 9.619397662556435e-05,
"loss": 1.4857,
"step": 8
},
{
"epoch": 0.0042264682574623584,
"grad_norm": 0.8699567914009094,
"learning_rate": 9.484363707663442e-05,
"loss": 1.4314,
"step": 9
},
{
"epoch": 0.004696075841624842,
"grad_norm": 0.8253223299980164,
"learning_rate": 9.330127018922194e-05,
"loss": 1.3567,
"step": 10
},
{
"epoch": 0.005165683425787326,
"grad_norm": 0.713810384273529,
"learning_rate": 9.157348061512727e-05,
"loss": 1.291,
"step": 11
},
{
"epoch": 0.005635291009949811,
"grad_norm": 0.6765950918197632,
"learning_rate": 8.966766701456177e-05,
"loss": 1.2962,
"step": 12
},
{
"epoch": 0.006104898594112295,
"grad_norm": 0.6236306428909302,
"learning_rate": 8.759199037394887e-05,
"loss": 1.4941,
"step": 13
},
{
"epoch": 0.006574506178274779,
"grad_norm": 0.6000515222549438,
"learning_rate": 8.535533905932738e-05,
"loss": 1.509,
"step": 14
},
{
"epoch": 0.007044113762437264,
"grad_norm": 0.5057103037834167,
"learning_rate": 8.296729075500344e-05,
"loss": 1.4013,
"step": 15
},
{
"epoch": 0.007513721346599747,
"grad_norm": 0.5185362100601196,
"learning_rate": 8.043807145043604e-05,
"loss": 1.4515,
"step": 16
},
{
"epoch": 0.007983328930762233,
"grad_norm": 0.5617626309394836,
"learning_rate": 7.777851165098012e-05,
"loss": 1.4217,
"step": 17
},
{
"epoch": 0.008452936514924717,
"grad_norm": 0.504992663860321,
"learning_rate": 7.500000000000001e-05,
"loss": 1.4164,
"step": 18
},
{
"epoch": 0.0089225440990872,
"grad_norm": 0.4376147389411926,
"learning_rate": 7.211443451095007e-05,
"loss": 1.3283,
"step": 19
},
{
"epoch": 0.009392151683249684,
"grad_norm": 0.4149356186389923,
"learning_rate": 6.91341716182545e-05,
"loss": 1.2588,
"step": 20
},
{
"epoch": 0.009861759267412168,
"grad_norm": 0.42740723490715027,
"learning_rate": 6.607197326515808e-05,
"loss": 1.2959,
"step": 21
},
{
"epoch": 0.010331366851574653,
"grad_norm": 0.4079449474811554,
"learning_rate": 6.294095225512603e-05,
"loss": 1.2151,
"step": 22
},
{
"epoch": 0.010800974435737137,
"grad_norm": 0.41314637660980225,
"learning_rate": 5.9754516100806423e-05,
"loss": 1.2394,
"step": 23
},
{
"epoch": 0.011270582019899621,
"grad_norm": 0.38211390376091003,
"learning_rate": 5.6526309611002594e-05,
"loss": 1.1939,
"step": 24
},
{
"epoch": 0.011740189604062106,
"grad_norm": 0.4124298393726349,
"learning_rate": 5.327015646150716e-05,
"loss": 1.1733,
"step": 25
},
{
"epoch": 0.011740189604062106,
"eval_loss": 1.3360475301742554,
"eval_runtime": 409.1341,
"eval_samples_per_second": 35.064,
"eval_steps_per_second": 4.385,
"step": 25
},
{
"epoch": 0.01220979718822459,
"grad_norm": 0.43993884325027466,
"learning_rate": 5e-05,
"loss": 1.5061,
"step": 26
},
{
"epoch": 0.012679404772387074,
"grad_norm": 0.41342392563819885,
"learning_rate": 4.6729843538492847e-05,
"loss": 1.4372,
"step": 27
},
{
"epoch": 0.013149012356549559,
"grad_norm": 0.44319623708724976,
"learning_rate": 4.347369038899744e-05,
"loss": 1.3508,
"step": 28
},
{
"epoch": 0.013618619940712043,
"grad_norm": 0.3479222059249878,
"learning_rate": 4.0245483899193595e-05,
"loss": 1.342,
"step": 29
},
{
"epoch": 0.014088227524874528,
"grad_norm": 0.38919132947921753,
"learning_rate": 3.705904774487396e-05,
"loss": 1.3623,
"step": 30
},
{
"epoch": 0.01455783510903701,
"grad_norm": 0.35072675347328186,
"learning_rate": 3.392802673484193e-05,
"loss": 1.2877,
"step": 31
},
{
"epoch": 0.015027442693199495,
"grad_norm": 0.38517889380455017,
"learning_rate": 3.086582838174551e-05,
"loss": 1.3297,
"step": 32
},
{
"epoch": 0.015497050277361979,
"grad_norm": 0.3642725348472595,
"learning_rate": 2.7885565489049946e-05,
"loss": 1.3139,
"step": 33
},
{
"epoch": 0.015966657861524465,
"grad_norm": 0.3697044551372528,
"learning_rate": 2.500000000000001e-05,
"loss": 1.2089,
"step": 34
},
{
"epoch": 0.016436265445686948,
"grad_norm": 0.4046227037906647,
"learning_rate": 2.2221488349019903e-05,
"loss": 1.2511,
"step": 35
},
{
"epoch": 0.016905873029849434,
"grad_norm": 0.37819936871528625,
"learning_rate": 1.9561928549563968e-05,
"loss": 1.1577,
"step": 36
},
{
"epoch": 0.017375480614011916,
"grad_norm": 0.40968626737594604,
"learning_rate": 1.703270924499656e-05,
"loss": 1.1753,
"step": 37
},
{
"epoch": 0.0178450881981744,
"grad_norm": 0.4086762070655823,
"learning_rate": 1.4644660940672627e-05,
"loss": 1.3645,
"step": 38
},
{
"epoch": 0.018314695782336885,
"grad_norm": 0.38058918714523315,
"learning_rate": 1.2408009626051137e-05,
"loss": 1.4081,
"step": 39
},
{
"epoch": 0.018784303366499368,
"grad_norm": 0.3770791292190552,
"learning_rate": 1.0332332985438248e-05,
"loss": 1.4182,
"step": 40
},
{
"epoch": 0.019253910950661854,
"grad_norm": 0.39039525389671326,
"learning_rate": 8.426519384872733e-06,
"loss": 1.4629,
"step": 41
},
{
"epoch": 0.019723518534824337,
"grad_norm": 0.3564213514328003,
"learning_rate": 6.698729810778065e-06,
"loss": 1.3281,
"step": 42
},
{
"epoch": 0.020193126118986823,
"grad_norm": 0.4056853652000427,
"learning_rate": 5.156362923365588e-06,
"loss": 1.2944,
"step": 43
},
{
"epoch": 0.020662733703149305,
"grad_norm": 0.36049678921699524,
"learning_rate": 3.8060233744356633e-06,
"loss": 1.3175,
"step": 44
},
{
"epoch": 0.02113234128731179,
"grad_norm": 0.3310118317604065,
"learning_rate": 2.653493525244721e-06,
"loss": 1.2527,
"step": 45
},
{
"epoch": 0.021601948871474274,
"grad_norm": 0.34343573451042175,
"learning_rate": 1.70370868554659e-06,
"loss": 1.2651,
"step": 46
},
{
"epoch": 0.02207155645563676,
"grad_norm": 0.3476006090641022,
"learning_rate": 9.607359798384785e-07,
"loss": 1.2322,
"step": 47
},
{
"epoch": 0.022541164039799243,
"grad_norm": 0.3565845489501953,
"learning_rate": 4.277569313094809e-07,
"loss": 1.2381,
"step": 48
},
{
"epoch": 0.023010771623961725,
"grad_norm": 0.3808521628379822,
"learning_rate": 1.0705383806982606e-07,
"loss": 1.1995,
"step": 49
},
{
"epoch": 0.02348037920812421,
"grad_norm": 0.4298349916934967,
"learning_rate": 0.0,
"loss": 1.1051,
"step": 50
},
{
"epoch": 0.02348037920812421,
"eval_loss": 1.314715027809143,
"eval_runtime": 409.369,
"eval_samples_per_second": 35.044,
"eval_steps_per_second": 4.382,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 1,
"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": 6.093040386509373e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}