nadejdatarabukina's picture
Training in progress, step 50, checkpoint
4e7885b verified
raw
history blame
11.6 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.021105951878429716,
"eval_steps": 5,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00042211903756859433,
"grad_norm": 9.35902214050293,
"learning_rate": 2e-05,
"loss": 10.0563,
"step": 1
},
{
"epoch": 0.00042211903756859433,
"eval_loss": 2.3652446269989014,
"eval_runtime": 134.5359,
"eval_samples_per_second": 7.418,
"eval_steps_per_second": 3.709,
"step": 1
},
{
"epoch": 0.0008442380751371887,
"grad_norm": 7.56370735168457,
"learning_rate": 4e-05,
"loss": 7.42,
"step": 2
},
{
"epoch": 0.001266357112705783,
"grad_norm": 9.696252822875977,
"learning_rate": 6e-05,
"loss": 10.9588,
"step": 3
},
{
"epoch": 0.0016884761502743773,
"grad_norm": 8.566594123840332,
"learning_rate": 8e-05,
"loss": 10.168,
"step": 4
},
{
"epoch": 0.002110595187842972,
"grad_norm": 7.462744235992432,
"learning_rate": 0.0001,
"loss": 8.2985,
"step": 5
},
{
"epoch": 0.002110595187842972,
"eval_loss": 2.258758783340454,
"eval_runtime": 135.8864,
"eval_samples_per_second": 7.344,
"eval_steps_per_second": 3.672,
"step": 5
},
{
"epoch": 0.002532714225411566,
"grad_norm": 11.242934226989746,
"learning_rate": 0.00012,
"loss": 8.9401,
"step": 6
},
{
"epoch": 0.0029548332629801602,
"grad_norm": 13.016233444213867,
"learning_rate": 0.00014,
"loss": 8.0107,
"step": 7
},
{
"epoch": 0.0033769523005487546,
"grad_norm": 16.885713577270508,
"learning_rate": 0.00016,
"loss": 7.0748,
"step": 8
},
{
"epoch": 0.003799071338117349,
"grad_norm": 12.32886791229248,
"learning_rate": 0.00018,
"loss": 6.1376,
"step": 9
},
{
"epoch": 0.004221190375685944,
"grad_norm": 19.14803123474121,
"learning_rate": 0.0002,
"loss": 6.8045,
"step": 10
},
{
"epoch": 0.004221190375685944,
"eval_loss": 1.6286500692367554,
"eval_runtime": 135.9287,
"eval_samples_per_second": 7.342,
"eval_steps_per_second": 3.671,
"step": 10
},
{
"epoch": 0.004643309413254538,
"grad_norm": 18.249591827392578,
"learning_rate": 0.0001996917333733128,
"loss": 5.6408,
"step": 11
},
{
"epoch": 0.005065428450823132,
"grad_norm": 8.969521522521973,
"learning_rate": 0.00019876883405951377,
"loss": 3.3644,
"step": 12
},
{
"epoch": 0.005487547488391726,
"grad_norm": 9.032382011413574,
"learning_rate": 0.00019723699203976766,
"loss": 5.2804,
"step": 13
},
{
"epoch": 0.0059096665259603205,
"grad_norm": 11.984638214111328,
"learning_rate": 0.00019510565162951537,
"loss": 4.695,
"step": 14
},
{
"epoch": 0.006331785563528915,
"grad_norm": 14.346260070800781,
"learning_rate": 0.0001923879532511287,
"loss": 6.4391,
"step": 15
},
{
"epoch": 0.006331785563528915,
"eval_loss": 1.3743129968643188,
"eval_runtime": 135.8966,
"eval_samples_per_second": 7.344,
"eval_steps_per_second": 3.672,
"step": 15
},
{
"epoch": 0.006753904601097509,
"grad_norm": 11.886094093322754,
"learning_rate": 0.0001891006524188368,
"loss": 5.4466,
"step": 16
},
{
"epoch": 0.007176023638666104,
"grad_norm": 12.336444854736328,
"learning_rate": 0.00018526401643540922,
"loss": 4.6035,
"step": 17
},
{
"epoch": 0.007598142676234698,
"grad_norm": 19.94431495666504,
"learning_rate": 0.00018090169943749476,
"loss": 5.2473,
"step": 18
},
{
"epoch": 0.008020261713803293,
"grad_norm": 9.52234172821045,
"learning_rate": 0.0001760405965600031,
"loss": 3.7112,
"step": 19
},
{
"epoch": 0.008442380751371888,
"grad_norm": 11.920819282531738,
"learning_rate": 0.00017071067811865476,
"loss": 3.9923,
"step": 20
},
{
"epoch": 0.008442380751371888,
"eval_loss": 1.2984857559204102,
"eval_runtime": 135.8981,
"eval_samples_per_second": 7.344,
"eval_steps_per_second": 3.672,
"step": 20
},
{
"epoch": 0.008864499788940482,
"grad_norm": 11.649659156799316,
"learning_rate": 0.00016494480483301836,
"loss": 5.2017,
"step": 21
},
{
"epoch": 0.009286618826509076,
"grad_norm": 10.896583557128906,
"learning_rate": 0.00015877852522924732,
"loss": 5.5399,
"step": 22
},
{
"epoch": 0.009708737864077669,
"grad_norm": 10.63659381866455,
"learning_rate": 0.0001522498564715949,
"loss": 5.016,
"step": 23
},
{
"epoch": 0.010130856901646263,
"grad_norm": 11.454913139343262,
"learning_rate": 0.00014539904997395468,
"loss": 5.6765,
"step": 24
},
{
"epoch": 0.010552975939214858,
"grad_norm": 10.400849342346191,
"learning_rate": 0.000138268343236509,
"loss": 6.1088,
"step": 25
},
{
"epoch": 0.010552975939214858,
"eval_loss": 1.2727545499801636,
"eval_runtime": 135.9196,
"eval_samples_per_second": 7.343,
"eval_steps_per_second": 3.671,
"step": 25
},
{
"epoch": 0.010975094976783452,
"grad_norm": 12.741352081298828,
"learning_rate": 0.00013090169943749476,
"loss": 5.4666,
"step": 26
},
{
"epoch": 0.011397214014352047,
"grad_norm": 17.090585708618164,
"learning_rate": 0.00012334453638559057,
"loss": 4.8389,
"step": 27
},
{
"epoch": 0.011819333051920641,
"grad_norm": 12.481046676635742,
"learning_rate": 0.0001156434465040231,
"loss": 4.6741,
"step": 28
},
{
"epoch": 0.012241452089489235,
"grad_norm": 10.3117094039917,
"learning_rate": 0.0001078459095727845,
"loss": 5.4316,
"step": 29
},
{
"epoch": 0.01266357112705783,
"grad_norm": 7.214309215545654,
"learning_rate": 0.0001,
"loss": 3.7213,
"step": 30
},
{
"epoch": 0.01266357112705783,
"eval_loss": 1.2609025239944458,
"eval_runtime": 135.9083,
"eval_samples_per_second": 7.343,
"eval_steps_per_second": 3.672,
"step": 30
},
{
"epoch": 0.013085690164626424,
"grad_norm": 18.718671798706055,
"learning_rate": 9.215409042721552e-05,
"loss": 5.4732,
"step": 31
},
{
"epoch": 0.013507809202195019,
"grad_norm": 11.435547828674316,
"learning_rate": 8.435655349597689e-05,
"loss": 4.9203,
"step": 32
},
{
"epoch": 0.013929928239763613,
"grad_norm": 10.921402931213379,
"learning_rate": 7.66554636144095e-05,
"loss": 4.5804,
"step": 33
},
{
"epoch": 0.014352047277332207,
"grad_norm": 19.59139633178711,
"learning_rate": 6.909830056250527e-05,
"loss": 5.5784,
"step": 34
},
{
"epoch": 0.014774166314900802,
"grad_norm": 7.975940704345703,
"learning_rate": 6.173165676349103e-05,
"loss": 5.5038,
"step": 35
},
{
"epoch": 0.014774166314900802,
"eval_loss": 1.2495229244232178,
"eval_runtime": 135.8846,
"eval_samples_per_second": 7.344,
"eval_steps_per_second": 3.672,
"step": 35
},
{
"epoch": 0.015196285352469396,
"grad_norm": 9.815423965454102,
"learning_rate": 5.4600950026045326e-05,
"loss": 4.815,
"step": 36
},
{
"epoch": 0.01561840439003799,
"grad_norm": 10.220743179321289,
"learning_rate": 4.7750143528405126e-05,
"loss": 4.7406,
"step": 37
},
{
"epoch": 0.016040523427606587,
"grad_norm": 10.354463577270508,
"learning_rate": 4.12214747707527e-05,
"loss": 4.5756,
"step": 38
},
{
"epoch": 0.01646264246517518,
"grad_norm": 11.346120834350586,
"learning_rate": 3.5055195166981645e-05,
"loss": 6.2784,
"step": 39
},
{
"epoch": 0.016884761502743775,
"grad_norm": 9.713720321655273,
"learning_rate": 2.9289321881345254e-05,
"loss": 5.7159,
"step": 40
},
{
"epoch": 0.016884761502743775,
"eval_loss": 1.2519896030426025,
"eval_runtime": 136.0325,
"eval_samples_per_second": 7.336,
"eval_steps_per_second": 3.668,
"step": 40
},
{
"epoch": 0.017306880540312368,
"grad_norm": 13.019607543945312,
"learning_rate": 2.3959403439996907e-05,
"loss": 4.0586,
"step": 41
},
{
"epoch": 0.017728999577880964,
"grad_norm": 9.759472846984863,
"learning_rate": 1.9098300562505266e-05,
"loss": 5.9911,
"step": 42
},
{
"epoch": 0.018151118615449557,
"grad_norm": 9.983514785766602,
"learning_rate": 1.4735983564590783e-05,
"loss": 4.5841,
"step": 43
},
{
"epoch": 0.018573237653018153,
"grad_norm": 11.719050407409668,
"learning_rate": 1.0899347581163221e-05,
"loss": 6.0421,
"step": 44
},
{
"epoch": 0.018995356690586745,
"grad_norm": 11.842796325683594,
"learning_rate": 7.612046748871327e-06,
"loss": 5.632,
"step": 45
},
{
"epoch": 0.018995356690586745,
"eval_loss": 1.2501074075698853,
"eval_runtime": 136.0353,
"eval_samples_per_second": 7.336,
"eval_steps_per_second": 3.668,
"step": 45
},
{
"epoch": 0.019417475728155338,
"grad_norm": 13.858030319213867,
"learning_rate": 4.8943483704846475e-06,
"loss": 4.1389,
"step": 46
},
{
"epoch": 0.019839594765723934,
"grad_norm": 12.51378345489502,
"learning_rate": 2.7630079602323442e-06,
"loss": 4.6694,
"step": 47
},
{
"epoch": 0.020261713803292527,
"grad_norm": 14.40710163116455,
"learning_rate": 1.231165940486234e-06,
"loss": 4.5467,
"step": 48
},
{
"epoch": 0.020683832840861123,
"grad_norm": 12.680715560913086,
"learning_rate": 3.0826662668720364e-07,
"loss": 4.3332,
"step": 49
},
{
"epoch": 0.021105951878429716,
"grad_norm": 10.62983512878418,
"learning_rate": 0.0,
"loss": 5.3688,
"step": 50
},
{
"epoch": 0.021105951878429716,
"eval_loss": 1.2478138208389282,
"eval_runtime": 135.9744,
"eval_samples_per_second": 7.34,
"eval_steps_per_second": 3.67,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 80,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 3.25746627182592e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}