dada22231's picture
Training in progress, step 50, checkpoint
92f2456 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.2057272042200453,
"eval_steps": 25,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.024114544084400905,
"grad_norm": 12.853450775146484,
"learning_rate": 5e-05,
"loss": 18.202,
"step": 1
},
{
"epoch": 0.024114544084400905,
"eval_loss": 17.88939666748047,
"eval_runtime": 1.1457,
"eval_samples_per_second": 43.643,
"eval_steps_per_second": 11.347,
"step": 1
},
{
"epoch": 0.04822908816880181,
"grad_norm": 12.898941993713379,
"learning_rate": 0.0001,
"loss": 18.0174,
"step": 2
},
{
"epoch": 0.07234363225320271,
"grad_norm": 13.988131523132324,
"learning_rate": 9.990365154573717e-05,
"loss": 17.5915,
"step": 3
},
{
"epoch": 0.09645817633760362,
"grad_norm": 21.47568130493164,
"learning_rate": 9.961501876182148e-05,
"loss": 15.9516,
"step": 4
},
{
"epoch": 0.12057272042200452,
"grad_norm": 31.15035629272461,
"learning_rate": 9.913533761814537e-05,
"loss": 14.0236,
"step": 5
},
{
"epoch": 0.14468726450640543,
"grad_norm": 32.609195709228516,
"learning_rate": 9.846666218300807e-05,
"loss": 12.3079,
"step": 6
},
{
"epoch": 0.16880180859080632,
"grad_norm": 33.13249588012695,
"learning_rate": 9.761185582727977e-05,
"loss": 10.6888,
"step": 7
},
{
"epoch": 0.19291635267520724,
"grad_norm": 33.3653450012207,
"learning_rate": 9.657457896300791e-05,
"loss": 9.2295,
"step": 8
},
{
"epoch": 0.21703089675960813,
"grad_norm": 31.56165313720703,
"learning_rate": 9.535927336897098e-05,
"loss": 8.028,
"step": 9
},
{
"epoch": 0.24114544084400905,
"grad_norm": 26.991592407226562,
"learning_rate": 9.397114317029975e-05,
"loss": 6.9241,
"step": 10
},
{
"epoch": 0.26525998492840996,
"grad_norm": 31.015859603881836,
"learning_rate": 9.241613255361455e-05,
"loss": 5.9948,
"step": 11
},
{
"epoch": 0.28937452901281085,
"grad_norm": 42.92523193359375,
"learning_rate": 9.070090031310558e-05,
"loss": 4.8584,
"step": 12
},
{
"epoch": 0.31348907309721175,
"grad_norm": 54.43761444091797,
"learning_rate": 8.883279133655399e-05,
"loss": 3.4654,
"step": 13
},
{
"epoch": 0.33760361718161264,
"grad_norm": 37.214935302734375,
"learning_rate": 8.681980515339464e-05,
"loss": 2.132,
"step": 14
},
{
"epoch": 0.3617181612660136,
"grad_norm": 20.878231048583984,
"learning_rate": 8.467056167950311e-05,
"loss": 1.3045,
"step": 15
},
{
"epoch": 0.3858327053504145,
"grad_norm": 6.039570331573486,
"learning_rate": 8.239426430539243e-05,
"loss": 0.9199,
"step": 16
},
{
"epoch": 0.40994724943481536,
"grad_norm": 2.416555166244507,
"learning_rate": 8.000066048588211e-05,
"loss": 0.7876,
"step": 17
},
{
"epoch": 0.43406179351921625,
"grad_norm": 1.814249873161316,
"learning_rate": 7.75e-05,
"loss": 0.7597,
"step": 18
},
{
"epoch": 0.4581763376036172,
"grad_norm": 2.3626012802124023,
"learning_rate": 7.490299105985507e-05,
"loss": 0.7374,
"step": 19
},
{
"epoch": 0.4822908816880181,
"grad_norm": 1.6917897462844849,
"learning_rate": 7.222075445642904e-05,
"loss": 0.7166,
"step": 20
},
{
"epoch": 0.506405425772419,
"grad_norm": 0.8339031338691711,
"learning_rate": 6.946477593864228e-05,
"loss": 0.6961,
"step": 21
},
{
"epoch": 0.5305199698568199,
"grad_norm": 1.4751001596450806,
"learning_rate": 6.664685702961344e-05,
"loss": 0.7014,
"step": 22
},
{
"epoch": 0.5546345139412208,
"grad_norm": 2.256863832473755,
"learning_rate": 6.377906449072578e-05,
"loss": 0.7286,
"step": 23
},
{
"epoch": 0.5787490580256217,
"grad_norm": 2.8666281700134277,
"learning_rate": 6.087367864990233e-05,
"loss": 0.7385,
"step": 24
},
{
"epoch": 0.6028636021100227,
"grad_norm": 1.928024411201477,
"learning_rate": 5.794314081535644e-05,
"loss": 0.7182,
"step": 25
},
{
"epoch": 0.6028636021100227,
"eval_loss": 0.7318603992462158,
"eval_runtime": 1.1476,
"eval_samples_per_second": 43.57,
"eval_steps_per_second": 11.328,
"step": 25
},
{
"epoch": 0.6269781461944235,
"grad_norm": 1.8943963050842285,
"learning_rate": 5.500000000000001e-05,
"loss": 0.7098,
"step": 26
},
{
"epoch": 0.6510926902788244,
"grad_norm": 1.3358711004257202,
"learning_rate": 5.205685918464356e-05,
"loss": 0.6979,
"step": 27
},
{
"epoch": 0.6752072343632253,
"grad_norm": 1.7418076992034912,
"learning_rate": 4.912632135009769e-05,
"loss": 0.718,
"step": 28
},
{
"epoch": 0.6993217784476262,
"grad_norm": 2.2980732917785645,
"learning_rate": 4.6220935509274235e-05,
"loss": 0.7217,
"step": 29
},
{
"epoch": 0.7234363225320272,
"grad_norm": 2.3880324363708496,
"learning_rate": 4.3353142970386564e-05,
"loss": 0.7251,
"step": 30
},
{
"epoch": 0.747550866616428,
"grad_norm": 2.4463062286376953,
"learning_rate": 4.053522406135775e-05,
"loss": 0.7254,
"step": 31
},
{
"epoch": 0.771665410700829,
"grad_norm": 1.9282697439193726,
"learning_rate": 3.777924554357096e-05,
"loss": 0.7128,
"step": 32
},
{
"epoch": 0.7957799547852299,
"grad_norm": 1.4290863275527954,
"learning_rate": 3.509700894014496e-05,
"loss": 0.6968,
"step": 33
},
{
"epoch": 0.8198944988696307,
"grad_norm": 1.8006930351257324,
"learning_rate": 3.250000000000001e-05,
"loss": 0.7076,
"step": 34
},
{
"epoch": 0.8440090429540317,
"grad_norm": 1.0373167991638184,
"learning_rate": 2.9999339514117912e-05,
"loss": 0.7026,
"step": 35
},
{
"epoch": 0.8681235870384325,
"grad_norm": 0.7661415338516235,
"learning_rate": 2.760573569460757e-05,
"loss": 0.6926,
"step": 36
},
{
"epoch": 0.8922381311228335,
"grad_norm": 1.2040423154830933,
"learning_rate": 2.53294383204969e-05,
"loss": 0.701,
"step": 37
},
{
"epoch": 0.9163526752072344,
"grad_norm": 0.8971741199493408,
"learning_rate": 2.3180194846605367e-05,
"loss": 0.7018,
"step": 38
},
{
"epoch": 0.9404672192916352,
"grad_norm": 0.7175334692001343,
"learning_rate": 2.1167208663446025e-05,
"loss": 0.7001,
"step": 39
},
{
"epoch": 0.9645817633760362,
"grad_norm": 0.8451390862464905,
"learning_rate": 1.9299099686894423e-05,
"loss": 0.6945,
"step": 40
},
{
"epoch": 0.9886963074604371,
"grad_norm": 1.954053282737732,
"learning_rate": 1.758386744638546e-05,
"loss": 0.7059,
"step": 41
},
{
"epoch": 1.012810851544838,
"grad_norm": 2.4371275901794434,
"learning_rate": 1.602885682970026e-05,
"loss": 1.076,
"step": 42
},
{
"epoch": 1.0369253956292388,
"grad_norm": 1.6779913902282715,
"learning_rate": 1.464072663102903e-05,
"loss": 0.6984,
"step": 43
},
{
"epoch": 1.0610399397136399,
"grad_norm": 1.369674563407898,
"learning_rate": 1.3425421036992098e-05,
"loss": 0.6834,
"step": 44
},
{
"epoch": 1.0851544837980407,
"grad_norm": 1.0458629131317139,
"learning_rate": 1.2388144172720251e-05,
"loss": 0.6891,
"step": 45
},
{
"epoch": 1.1092690278824415,
"grad_norm": 0.7835463285446167,
"learning_rate": 1.1533337816991932e-05,
"loss": 0.6877,
"step": 46
},
{
"epoch": 1.1333835719668426,
"grad_norm": 1.0629692077636719,
"learning_rate": 1.0864662381854632e-05,
"loss": 0.6778,
"step": 47
},
{
"epoch": 1.1574981160512434,
"grad_norm": 0.4367343485355377,
"learning_rate": 1.0384981238178534e-05,
"loss": 0.6783,
"step": 48
},
{
"epoch": 1.1816126601356443,
"grad_norm": 0.9655264616012573,
"learning_rate": 1.0096348454262845e-05,
"loss": 0.676,
"step": 49
},
{
"epoch": 1.2057272042200453,
"grad_norm": 0.7904195785522461,
"learning_rate": 1e-05,
"loss": 0.6994,
"step": 50
},
{
"epoch": 1.2057272042200453,
"eval_loss": 0.7077999711036682,
"eval_runtime": 1.1629,
"eval_samples_per_second": 42.995,
"eval_steps_per_second": 11.179,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 25,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.059536353886208e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}