VERSIL91's picture
Training in progress, step 50, checkpoint
088cbe7 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.03904724716907458,
"eval_steps": 13,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0007809449433814916,
"grad_norm": 175.4751434326172,
"learning_rate": 1e-05,
"loss": 36.1201,
"step": 1
},
{
"epoch": 0.0007809449433814916,
"eval_loss": 3.8799195289611816,
"eval_runtime": 315.5656,
"eval_samples_per_second": 6.835,
"eval_steps_per_second": 3.419,
"step": 1
},
{
"epoch": 0.0015618898867629833,
"grad_norm": 238.4190673828125,
"learning_rate": 2e-05,
"loss": 50.8572,
"step": 2
},
{
"epoch": 0.0023428348301444747,
"grad_norm": 363.2473449707031,
"learning_rate": 3e-05,
"loss": 69.5408,
"step": 3
},
{
"epoch": 0.0031237797735259665,
"grad_norm": 166.27882385253906,
"learning_rate": 4e-05,
"loss": 36.4834,
"step": 4
},
{
"epoch": 0.003904724716907458,
"grad_norm": 206.5617218017578,
"learning_rate": 5e-05,
"loss": 43.0769,
"step": 5
},
{
"epoch": 0.004685669660288949,
"grad_norm": 192.99514770507812,
"learning_rate": 6e-05,
"loss": 57.0914,
"step": 6
},
{
"epoch": 0.005466614603670442,
"grad_norm": 187.74777221679688,
"learning_rate": 7e-05,
"loss": 41.0429,
"step": 7
},
{
"epoch": 0.006247559547051933,
"grad_norm": 242.54119873046875,
"learning_rate": 8e-05,
"loss": 50.7796,
"step": 8
},
{
"epoch": 0.007028504490433424,
"grad_norm": 88.46190643310547,
"learning_rate": 9e-05,
"loss": 23.8709,
"step": 9
},
{
"epoch": 0.007809449433814916,
"grad_norm": 102.14177703857422,
"learning_rate": 0.0001,
"loss": 22.4249,
"step": 10
},
{
"epoch": 0.008590394377196407,
"grad_norm": 71.25434875488281,
"learning_rate": 9.98458666866564e-05,
"loss": 20.7456,
"step": 11
},
{
"epoch": 0.009371339320577899,
"grad_norm": 97.2330551147461,
"learning_rate": 9.938441702975689e-05,
"loss": 20.3148,
"step": 12
},
{
"epoch": 0.01015228426395939,
"grad_norm": 71.13471221923828,
"learning_rate": 9.861849601988383e-05,
"loss": 17.7955,
"step": 13
},
{
"epoch": 0.01015228426395939,
"eval_loss": 1.2057011127471924,
"eval_runtime": 300.8171,
"eval_samples_per_second": 7.17,
"eval_steps_per_second": 3.587,
"step": 13
},
{
"epoch": 0.010933229207340883,
"grad_norm": 70.08533477783203,
"learning_rate": 9.755282581475769e-05,
"loss": 17.0262,
"step": 14
},
{
"epoch": 0.011714174150722375,
"grad_norm": 69.94759368896484,
"learning_rate": 9.619397662556435e-05,
"loss": 18.1821,
"step": 15
},
{
"epoch": 0.012495119094103866,
"grad_norm": 58.61181640625,
"learning_rate": 9.45503262094184e-05,
"loss": 17.1924,
"step": 16
},
{
"epoch": 0.013276064037485357,
"grad_norm": 54.452816009521484,
"learning_rate": 9.263200821770461e-05,
"loss": 14.6744,
"step": 17
},
{
"epoch": 0.014057008980866849,
"grad_norm": 67.27265930175781,
"learning_rate": 9.045084971874738e-05,
"loss": 17.592,
"step": 18
},
{
"epoch": 0.01483795392424834,
"grad_norm": 51.187679290771484,
"learning_rate": 8.802029828000156e-05,
"loss": 20.2565,
"step": 19
},
{
"epoch": 0.015618898867629832,
"grad_norm": 45.95616912841797,
"learning_rate": 8.535533905932738e-05,
"loss": 16.9602,
"step": 20
},
{
"epoch": 0.016399843811011325,
"grad_norm": 46.94184112548828,
"learning_rate": 8.247240241650918e-05,
"loss": 16.319,
"step": 21
},
{
"epoch": 0.017180788754392814,
"grad_norm": 43.87798309326172,
"learning_rate": 7.938926261462366e-05,
"loss": 12.6792,
"step": 22
},
{
"epoch": 0.017961733697774308,
"grad_norm": 51.43169403076172,
"learning_rate": 7.612492823579745e-05,
"loss": 16.1705,
"step": 23
},
{
"epoch": 0.018742678641155797,
"grad_norm": 47.817901611328125,
"learning_rate": 7.269952498697734e-05,
"loss": 11.841,
"step": 24
},
{
"epoch": 0.01952362358453729,
"grad_norm": 56.87557601928711,
"learning_rate": 6.91341716182545e-05,
"loss": 17.5764,
"step": 25
},
{
"epoch": 0.02030456852791878,
"grad_norm": 45.88191223144531,
"learning_rate": 6.545084971874738e-05,
"loss": 13.4572,
"step": 26
},
{
"epoch": 0.02030456852791878,
"eval_loss": 0.8506395816802979,
"eval_runtime": 300.4403,
"eval_samples_per_second": 7.179,
"eval_steps_per_second": 3.591,
"step": 26
},
{
"epoch": 0.021085513471300273,
"grad_norm": 44.15971374511719,
"learning_rate": 6.167226819279528e-05,
"loss": 12.4669,
"step": 27
},
{
"epoch": 0.021866458414681766,
"grad_norm": 70.013916015625,
"learning_rate": 5.782172325201155e-05,
"loss": 12.9177,
"step": 28
},
{
"epoch": 0.022647403358063256,
"grad_norm": 59.45874786376953,
"learning_rate": 5.392295478639225e-05,
"loss": 13.9473,
"step": 29
},
{
"epoch": 0.02342834830144475,
"grad_norm": 49.43613815307617,
"learning_rate": 5e-05,
"loss": 13.1336,
"step": 30
},
{
"epoch": 0.02420929324482624,
"grad_norm": 51.60984420776367,
"learning_rate": 4.607704521360776e-05,
"loss": 11.6511,
"step": 31
},
{
"epoch": 0.024990238188207732,
"grad_norm": 39.98220443725586,
"learning_rate": 4.2178276747988446e-05,
"loss": 11.9204,
"step": 32
},
{
"epoch": 0.025771183131589222,
"grad_norm": 53.87978744506836,
"learning_rate": 3.832773180720475e-05,
"loss": 14.3878,
"step": 33
},
{
"epoch": 0.026552128074970715,
"grad_norm": 55.93902587890625,
"learning_rate": 3.4549150281252636e-05,
"loss": 10.2647,
"step": 34
},
{
"epoch": 0.027333073018352205,
"grad_norm": 45.10630798339844,
"learning_rate": 3.086582838174551e-05,
"loss": 12.807,
"step": 35
},
{
"epoch": 0.028114017961733698,
"grad_norm": 57.13920593261719,
"learning_rate": 2.7300475013022663e-05,
"loss": 14.7782,
"step": 36
},
{
"epoch": 0.02889496290511519,
"grad_norm": 39.96442413330078,
"learning_rate": 2.3875071764202563e-05,
"loss": 13.0561,
"step": 37
},
{
"epoch": 0.02967590784849668,
"grad_norm": 38.73209762573242,
"learning_rate": 2.061073738537635e-05,
"loss": 11.2156,
"step": 38
},
{
"epoch": 0.030456852791878174,
"grad_norm": 49.080196380615234,
"learning_rate": 1.7527597583490822e-05,
"loss": 12.6033,
"step": 39
},
{
"epoch": 0.030456852791878174,
"eval_loss": 0.7845144271850586,
"eval_runtime": 300.1758,
"eval_samples_per_second": 7.186,
"eval_steps_per_second": 3.595,
"step": 39
},
{
"epoch": 0.031237797735259663,
"grad_norm": 47.26570510864258,
"learning_rate": 1.4644660940672627e-05,
"loss": 12.213,
"step": 40
},
{
"epoch": 0.03201874267864115,
"grad_norm": 37.84298324584961,
"learning_rate": 1.1979701719998453e-05,
"loss": 12.9798,
"step": 41
},
{
"epoch": 0.03279968762202265,
"grad_norm": 37.72480773925781,
"learning_rate": 9.549150281252633e-06,
"loss": 10.6722,
"step": 42
},
{
"epoch": 0.03358063256540414,
"grad_norm": 44.485225677490234,
"learning_rate": 7.367991782295391e-06,
"loss": 12.6417,
"step": 43
},
{
"epoch": 0.03436157750878563,
"grad_norm": 36.807350158691406,
"learning_rate": 5.449673790581611e-06,
"loss": 11.1903,
"step": 44
},
{
"epoch": 0.035142522452167126,
"grad_norm": 34.367584228515625,
"learning_rate": 3.8060233744356633e-06,
"loss": 11.6601,
"step": 45
},
{
"epoch": 0.035923467395548615,
"grad_norm": 48.056583404541016,
"learning_rate": 2.4471741852423237e-06,
"loss": 13.341,
"step": 46
},
{
"epoch": 0.036704412338930105,
"grad_norm": 46.177330017089844,
"learning_rate": 1.3815039801161721e-06,
"loss": 13.4865,
"step": 47
},
{
"epoch": 0.037485357282311595,
"grad_norm": 54.51680374145508,
"learning_rate": 6.15582970243117e-07,
"loss": 12.0828,
"step": 48
},
{
"epoch": 0.03826630222569309,
"grad_norm": 43.835418701171875,
"learning_rate": 1.5413331334360182e-07,
"loss": 12.4233,
"step": 49
},
{
"epoch": 0.03904724716907458,
"grad_norm": 44.20928955078125,
"learning_rate": 0.0,
"loss": 13.5881,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 13,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 2.812517994725376e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}