dimasik1987's picture
Training in progress, step 50, checkpoint
feabbbd verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.007135976023120562,
"eval_steps": 5,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00014271952046241123,
"grad_norm": NaN,
"learning_rate": 1e-05,
"loss": 0.0,
"step": 1
},
{
"epoch": 0.00014271952046241123,
"eval_loss": NaN,
"eval_runtime": 692.0117,
"eval_samples_per_second": 4.264,
"eval_steps_per_second": 2.133,
"step": 1
},
{
"epoch": 0.00028543904092482247,
"grad_norm": NaN,
"learning_rate": 2e-05,
"loss": 0.0,
"step": 2
},
{
"epoch": 0.0004281585613872337,
"grad_norm": NaN,
"learning_rate": 3e-05,
"loss": 0.0,
"step": 3
},
{
"epoch": 0.0005708780818496449,
"grad_norm": NaN,
"learning_rate": 4e-05,
"loss": 0.0,
"step": 4
},
{
"epoch": 0.0007135976023120562,
"grad_norm": NaN,
"learning_rate": 5e-05,
"loss": 0.0,
"step": 5
},
{
"epoch": 0.0007135976023120562,
"eval_loss": NaN,
"eval_runtime": 693.2025,
"eval_samples_per_second": 4.257,
"eval_steps_per_second": 2.129,
"step": 5
},
{
"epoch": 0.0008563171227744675,
"grad_norm": NaN,
"learning_rate": 6e-05,
"loss": 0.0,
"step": 6
},
{
"epoch": 0.0009990366432368787,
"grad_norm": NaN,
"learning_rate": 7e-05,
"loss": 0.0,
"step": 7
},
{
"epoch": 0.0011417561636992899,
"grad_norm": NaN,
"learning_rate": 8e-05,
"loss": 0.0,
"step": 8
},
{
"epoch": 0.0012844756841617012,
"grad_norm": NaN,
"learning_rate": 9e-05,
"loss": 0.0,
"step": 9
},
{
"epoch": 0.0014271952046241124,
"grad_norm": NaN,
"learning_rate": 0.0001,
"loss": 0.0,
"step": 10
},
{
"epoch": 0.0014271952046241124,
"eval_loss": NaN,
"eval_runtime": 693.38,
"eval_samples_per_second": 4.256,
"eval_steps_per_second": 2.129,
"step": 10
},
{
"epoch": 0.0015699147250865238,
"grad_norm": NaN,
"learning_rate": 9.98458666866564e-05,
"loss": 0.0,
"step": 11
},
{
"epoch": 0.001712634245548935,
"grad_norm": NaN,
"learning_rate": 9.938441702975689e-05,
"loss": 0.0,
"step": 12
},
{
"epoch": 0.0018553537660113463,
"grad_norm": NaN,
"learning_rate": 9.861849601988383e-05,
"loss": 0.0,
"step": 13
},
{
"epoch": 0.0019980732864737574,
"grad_norm": NaN,
"learning_rate": 9.755282581475769e-05,
"loss": 0.0,
"step": 14
},
{
"epoch": 0.002140792806936169,
"grad_norm": NaN,
"learning_rate": 9.619397662556435e-05,
"loss": 0.0,
"step": 15
},
{
"epoch": 0.002140792806936169,
"eval_loss": NaN,
"eval_runtime": 692.6212,
"eval_samples_per_second": 4.261,
"eval_steps_per_second": 2.131,
"step": 15
},
{
"epoch": 0.0022835123273985797,
"grad_norm": NaN,
"learning_rate": 9.45503262094184e-05,
"loss": 0.0,
"step": 16
},
{
"epoch": 0.002426231847860991,
"grad_norm": NaN,
"learning_rate": 9.263200821770461e-05,
"loss": 0.0,
"step": 17
},
{
"epoch": 0.0025689513683234025,
"grad_norm": NaN,
"learning_rate": 9.045084971874738e-05,
"loss": 0.0,
"step": 18
},
{
"epoch": 0.002711670888785814,
"grad_norm": NaN,
"learning_rate": 8.802029828000156e-05,
"loss": 0.0,
"step": 19
},
{
"epoch": 0.0028543904092482248,
"grad_norm": NaN,
"learning_rate": 8.535533905932738e-05,
"loss": 0.0,
"step": 20
},
{
"epoch": 0.0028543904092482248,
"eval_loss": NaN,
"eval_runtime": 692.5722,
"eval_samples_per_second": 4.261,
"eval_steps_per_second": 2.131,
"step": 20
},
{
"epoch": 0.002997109929710636,
"grad_norm": NaN,
"learning_rate": 8.247240241650918e-05,
"loss": 0.0,
"step": 21
},
{
"epoch": 0.0031398294501730475,
"grad_norm": NaN,
"learning_rate": 7.938926261462366e-05,
"loss": 0.0,
"step": 22
},
{
"epoch": 0.003282548970635459,
"grad_norm": NaN,
"learning_rate": 7.612492823579745e-05,
"loss": 0.0,
"step": 23
},
{
"epoch": 0.00342526849109787,
"grad_norm": NaN,
"learning_rate": 7.269952498697734e-05,
"loss": 0.0,
"step": 24
},
{
"epoch": 0.003567988011560281,
"grad_norm": NaN,
"learning_rate": 6.91341716182545e-05,
"loss": 0.0,
"step": 25
},
{
"epoch": 0.003567988011560281,
"eval_loss": NaN,
"eval_runtime": 692.4933,
"eval_samples_per_second": 4.261,
"eval_steps_per_second": 2.131,
"step": 25
},
{
"epoch": 0.0037107075320226925,
"grad_norm": NaN,
"learning_rate": 6.545084971874738e-05,
"loss": 0.0,
"step": 26
},
{
"epoch": 0.0038534270524851035,
"grad_norm": NaN,
"learning_rate": 6.167226819279528e-05,
"loss": 0.0,
"step": 27
},
{
"epoch": 0.003996146572947515,
"grad_norm": NaN,
"learning_rate": 5.782172325201155e-05,
"loss": 0.0,
"step": 28
},
{
"epoch": 0.004138866093409926,
"grad_norm": NaN,
"learning_rate": 5.392295478639225e-05,
"loss": 0.0,
"step": 29
},
{
"epoch": 0.004281585613872338,
"grad_norm": NaN,
"learning_rate": 5e-05,
"loss": 0.0,
"step": 30
},
{
"epoch": 0.004281585613872338,
"eval_loss": NaN,
"eval_runtime": 693.3993,
"eval_samples_per_second": 4.256,
"eval_steps_per_second": 2.129,
"step": 30
},
{
"epoch": 0.004424305134334749,
"grad_norm": NaN,
"learning_rate": 4.607704521360776e-05,
"loss": 0.0,
"step": 31
},
{
"epoch": 0.0045670246547971595,
"grad_norm": NaN,
"learning_rate": 4.2178276747988446e-05,
"loss": 0.0,
"step": 32
},
{
"epoch": 0.004709744175259571,
"grad_norm": NaN,
"learning_rate": 3.832773180720475e-05,
"loss": 0.0,
"step": 33
},
{
"epoch": 0.004852463695721982,
"grad_norm": NaN,
"learning_rate": 3.4549150281252636e-05,
"loss": 0.0,
"step": 34
},
{
"epoch": 0.0049951832161843936,
"grad_norm": NaN,
"learning_rate": 3.086582838174551e-05,
"loss": 0.0,
"step": 35
},
{
"epoch": 0.0049951832161843936,
"eval_loss": NaN,
"eval_runtime": 692.9937,
"eval_samples_per_second": 4.258,
"eval_steps_per_second": 2.13,
"step": 35
},
{
"epoch": 0.005137902736646805,
"grad_norm": NaN,
"learning_rate": 2.7300475013022663e-05,
"loss": 0.0,
"step": 36
},
{
"epoch": 0.005280622257109216,
"grad_norm": NaN,
"learning_rate": 2.3875071764202563e-05,
"loss": 0.0,
"step": 37
},
{
"epoch": 0.005423341777571628,
"grad_norm": NaN,
"learning_rate": 2.061073738537635e-05,
"loss": 0.0,
"step": 38
},
{
"epoch": 0.005566061298034038,
"grad_norm": NaN,
"learning_rate": 1.7527597583490822e-05,
"loss": 0.0,
"step": 39
},
{
"epoch": 0.0057087808184964495,
"grad_norm": NaN,
"learning_rate": 1.4644660940672627e-05,
"loss": 0.0,
"step": 40
},
{
"epoch": 0.0057087808184964495,
"eval_loss": NaN,
"eval_runtime": 693.1472,
"eval_samples_per_second": 4.257,
"eval_steps_per_second": 2.129,
"step": 40
},
{
"epoch": 0.005851500338958861,
"grad_norm": NaN,
"learning_rate": 1.1979701719998453e-05,
"loss": 0.0,
"step": 41
},
{
"epoch": 0.005994219859421272,
"grad_norm": NaN,
"learning_rate": 9.549150281252633e-06,
"loss": 0.0,
"step": 42
},
{
"epoch": 0.006136939379883684,
"grad_norm": NaN,
"learning_rate": 7.367991782295391e-06,
"loss": 0.0,
"step": 43
},
{
"epoch": 0.006279658900346095,
"grad_norm": NaN,
"learning_rate": 5.449673790581611e-06,
"loss": 0.0,
"step": 44
},
{
"epoch": 0.006422378420808506,
"grad_norm": NaN,
"learning_rate": 3.8060233744356633e-06,
"loss": 0.0,
"step": 45
},
{
"epoch": 0.006422378420808506,
"eval_loss": NaN,
"eval_runtime": 693.3742,
"eval_samples_per_second": 4.256,
"eval_steps_per_second": 2.129,
"step": 45
},
{
"epoch": 0.006565097941270918,
"grad_norm": NaN,
"learning_rate": 2.4471741852423237e-06,
"loss": 0.0,
"step": 46
},
{
"epoch": 0.006707817461733328,
"grad_norm": NaN,
"learning_rate": 1.3815039801161721e-06,
"loss": 0.0,
"step": 47
},
{
"epoch": 0.00685053698219574,
"grad_norm": NaN,
"learning_rate": 6.15582970243117e-07,
"loss": 0.0,
"step": 48
},
{
"epoch": 0.006993256502658151,
"grad_norm": NaN,
"learning_rate": 1.5413331334360182e-07,
"loss": 0.0,
"step": 49
},
{
"epoch": 0.007135976023120562,
"grad_norm": NaN,
"learning_rate": 0.0,
"loss": 0.0,
"step": 50
},
{
"epoch": 0.007135976023120562,
"eval_loss": NaN,
"eval_runtime": 693.5499,
"eval_samples_per_second": 4.255,
"eval_steps_per_second": 2.128,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"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": 3.73005226082304e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}