wcyat's picture
Training in progress, step 1655, checkpoint
96f9de0 verified
{
"best_metric": 0.2986587882041931,
"best_model_checkpoint": "./results/checkpoint-180",
"epoch": 5.0,
"eval_steps": 20,
"global_step": 1655,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06042296072507553,
"grad_norm": 0.5974797606468201,
"learning_rate": 1.97583081570997e-05,
"loss": 0.5426,
"step": 20
},
{
"epoch": 0.06042296072507553,
"eval_accuracy": 0.7450980392156863,
"eval_loss": 0.7869178652763367,
"eval_runtime": 15.0039,
"eval_samples_per_second": 10.197,
"eval_steps_per_second": 2.599,
"step": 20
},
{
"epoch": 0.12084592145015106,
"grad_norm": 13.038370132446289,
"learning_rate": 1.9516616314199397e-05,
"loss": 0.5984,
"step": 40
},
{
"epoch": 0.12084592145015106,
"eval_accuracy": 0.7908496732026143,
"eval_loss": 0.39430469274520874,
"eval_runtime": 15.9435,
"eval_samples_per_second": 9.596,
"eval_steps_per_second": 2.446,
"step": 40
},
{
"epoch": 0.18126888217522658,
"grad_norm": 0.1351632922887802,
"learning_rate": 1.9274924471299096e-05,
"loss": 0.4864,
"step": 60
},
{
"epoch": 0.18126888217522658,
"eval_accuracy": 0.7843137254901961,
"eval_loss": 0.9364686608314514,
"eval_runtime": 15.2263,
"eval_samples_per_second": 10.048,
"eval_steps_per_second": 2.561,
"step": 60
},
{
"epoch": 0.24169184290030213,
"grad_norm": 1.4119517803192139,
"learning_rate": 1.9033232628398792e-05,
"loss": 0.6039,
"step": 80
},
{
"epoch": 0.24169184290030213,
"eval_accuracy": 0.7712418300653595,
"eval_loss": 0.6580381989479065,
"eval_runtime": 15.5472,
"eval_samples_per_second": 9.841,
"eval_steps_per_second": 2.508,
"step": 80
},
{
"epoch": 0.3021148036253776,
"grad_norm": 13.04010009765625,
"learning_rate": 1.879154078549849e-05,
"loss": 0.5741,
"step": 100
},
{
"epoch": 0.3021148036253776,
"eval_accuracy": 0.8235294117647058,
"eval_loss": 0.3454345464706421,
"eval_runtime": 15.5082,
"eval_samples_per_second": 9.866,
"eval_steps_per_second": 2.515,
"step": 100
},
{
"epoch": 0.36253776435045315,
"grad_norm": 61.882415771484375,
"learning_rate": 1.854984894259819e-05,
"loss": 0.4276,
"step": 120
},
{
"epoch": 0.36253776435045315,
"eval_accuracy": 0.8169934640522876,
"eval_loss": 0.5421260595321655,
"eval_runtime": 15.4627,
"eval_samples_per_second": 9.895,
"eval_steps_per_second": 2.522,
"step": 120
},
{
"epoch": 0.4229607250755287,
"grad_norm": 8.9187593460083,
"learning_rate": 1.8308157099697886e-05,
"loss": 0.4342,
"step": 140
},
{
"epoch": 0.4229607250755287,
"eval_accuracy": 0.8562091503267973,
"eval_loss": 0.4258342981338501,
"eval_runtime": 15.4753,
"eval_samples_per_second": 9.887,
"eval_steps_per_second": 2.52,
"step": 140
},
{
"epoch": 0.48338368580060426,
"grad_norm": 40.476078033447266,
"learning_rate": 1.8066465256797586e-05,
"loss": 0.4915,
"step": 160
},
{
"epoch": 0.48338368580060426,
"eval_accuracy": 0.8300653594771242,
"eval_loss": 0.5960604548454285,
"eval_runtime": 15.4631,
"eval_samples_per_second": 9.895,
"eval_steps_per_second": 2.522,
"step": 160
},
{
"epoch": 0.5438066465256798,
"grad_norm": 3.8627891540527344,
"learning_rate": 1.782477341389728e-05,
"loss": 0.4127,
"step": 180
},
{
"epoch": 0.5438066465256798,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.2986587882041931,
"eval_runtime": 15.5147,
"eval_samples_per_second": 9.862,
"eval_steps_per_second": 2.514,
"step": 180
},
{
"epoch": 0.6042296072507553,
"grad_norm": 16.525339126586914,
"learning_rate": 1.758308157099698e-05,
"loss": 0.3166,
"step": 200
},
{
"epoch": 0.6042296072507553,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.33075031638145447,
"eval_runtime": 15.5417,
"eval_samples_per_second": 9.845,
"eval_steps_per_second": 2.509,
"step": 200
},
{
"epoch": 0.6646525679758308,
"grad_norm": 1.5080480575561523,
"learning_rate": 1.7341389728096677e-05,
"loss": 0.4018,
"step": 220
},
{
"epoch": 0.6646525679758308,
"eval_accuracy": 0.803921568627451,
"eval_loss": 0.5285586714744568,
"eval_runtime": 15.4908,
"eval_samples_per_second": 9.877,
"eval_steps_per_second": 2.518,
"step": 220
},
{
"epoch": 0.7250755287009063,
"grad_norm": 21.941341400146484,
"learning_rate": 1.7099697885196376e-05,
"loss": 0.3007,
"step": 240
},
{
"epoch": 0.7250755287009063,
"eval_accuracy": 0.8627450980392157,
"eval_loss": 0.584548830986023,
"eval_runtime": 15.5027,
"eval_samples_per_second": 9.869,
"eval_steps_per_second": 2.516,
"step": 240
},
{
"epoch": 0.7854984894259819,
"grad_norm": 7.442047119140625,
"learning_rate": 1.6858006042296072e-05,
"loss": 0.4893,
"step": 260
},
{
"epoch": 0.7854984894259819,
"eval_accuracy": 0.8627450980392157,
"eval_loss": 0.36624589562416077,
"eval_runtime": 15.471,
"eval_samples_per_second": 9.889,
"eval_steps_per_second": 2.521,
"step": 260
},
{
"epoch": 0.8459214501510574,
"grad_norm": 27.062305450439453,
"learning_rate": 1.661631419939577e-05,
"loss": 0.274,
"step": 280
},
{
"epoch": 0.8459214501510574,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.34829556941986084,
"eval_runtime": 15.4719,
"eval_samples_per_second": 9.889,
"eval_steps_per_second": 2.521,
"step": 280
},
{
"epoch": 0.9063444108761329,
"grad_norm": 9.517237663269043,
"learning_rate": 1.637462235649547e-05,
"loss": 0.5741,
"step": 300
},
{
"epoch": 0.9063444108761329,
"eval_accuracy": 0.8823529411764706,
"eval_loss": 0.32800009846687317,
"eval_runtime": 15.4828,
"eval_samples_per_second": 9.882,
"eval_steps_per_second": 2.519,
"step": 300
},
{
"epoch": 0.9667673716012085,
"grad_norm": 40.94089889526367,
"learning_rate": 1.6132930513595166e-05,
"loss": 0.3752,
"step": 320
},
{
"epoch": 0.9667673716012085,
"eval_accuracy": 0.8888888888888888,
"eval_loss": 0.5250552296638489,
"eval_runtime": 15.485,
"eval_samples_per_second": 9.881,
"eval_steps_per_second": 2.519,
"step": 320
},
{
"epoch": 1.027190332326284,
"grad_norm": 0.2767094373703003,
"learning_rate": 1.5891238670694865e-05,
"loss": 0.2711,
"step": 340
},
{
"epoch": 1.027190332326284,
"eval_accuracy": 0.8562091503267973,
"eval_loss": 0.6096686720848083,
"eval_runtime": 15.4954,
"eval_samples_per_second": 9.874,
"eval_steps_per_second": 2.517,
"step": 340
},
{
"epoch": 1.0876132930513596,
"grad_norm": 1.7755597829818726,
"learning_rate": 1.5649546827794565e-05,
"loss": 0.2369,
"step": 360
},
{
"epoch": 1.0876132930513596,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.5457373857498169,
"eval_runtime": 15.479,
"eval_samples_per_second": 9.884,
"eval_steps_per_second": 2.52,
"step": 360
},
{
"epoch": 1.148036253776435,
"grad_norm": 197.30111694335938,
"learning_rate": 1.540785498489426e-05,
"loss": 0.3756,
"step": 380
},
{
"epoch": 1.148036253776435,
"eval_accuracy": 0.8758169934640523,
"eval_loss": 0.6890403628349304,
"eval_runtime": 15.448,
"eval_samples_per_second": 9.904,
"eval_steps_per_second": 2.525,
"step": 380
},
{
"epoch": 1.2084592145015105,
"grad_norm": 0.16098028421401978,
"learning_rate": 1.516616314199396e-05,
"loss": 0.6575,
"step": 400
},
{
"epoch": 1.2084592145015105,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.47085481882095337,
"eval_runtime": 15.4824,
"eval_samples_per_second": 9.882,
"eval_steps_per_second": 2.519,
"step": 400
},
{
"epoch": 1.2688821752265862,
"grad_norm": 0.3975774943828583,
"learning_rate": 1.4924471299093657e-05,
"loss": 0.3268,
"step": 420
},
{
"epoch": 1.2688821752265862,
"eval_accuracy": 0.8496732026143791,
"eval_loss": 0.5218892693519592,
"eval_runtime": 15.4867,
"eval_samples_per_second": 9.879,
"eval_steps_per_second": 2.518,
"step": 420
},
{
"epoch": 1.3293051359516617,
"grad_norm": 8.90912914276123,
"learning_rate": 1.4682779456193355e-05,
"loss": 0.3994,
"step": 440
},
{
"epoch": 1.3293051359516617,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.42816421389579773,
"eval_runtime": 15.4691,
"eval_samples_per_second": 9.891,
"eval_steps_per_second": 2.521,
"step": 440
},
{
"epoch": 1.3897280966767371,
"grad_norm": 93.57767486572266,
"learning_rate": 1.4441087613293053e-05,
"loss": 0.0879,
"step": 460
},
{
"epoch": 1.3897280966767371,
"eval_accuracy": 0.8758169934640523,
"eval_loss": 0.6293966174125671,
"eval_runtime": 15.4702,
"eval_samples_per_second": 9.89,
"eval_steps_per_second": 2.521,
"step": 460
},
{
"epoch": 1.4501510574018126,
"grad_norm": 0.061734456568956375,
"learning_rate": 1.419939577039275e-05,
"loss": 0.2566,
"step": 480
},
{
"epoch": 1.4501510574018126,
"eval_accuracy": 0.8627450980392157,
"eval_loss": 0.7143150568008423,
"eval_runtime": 15.449,
"eval_samples_per_second": 9.904,
"eval_steps_per_second": 2.524,
"step": 480
},
{
"epoch": 1.510574018126888,
"grad_norm": 0.11357846111059189,
"learning_rate": 1.3957703927492448e-05,
"loss": 0.2897,
"step": 500
},
{
"epoch": 1.510574018126888,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.6120204329490662,
"eval_runtime": 15.463,
"eval_samples_per_second": 9.895,
"eval_steps_per_second": 2.522,
"step": 500
},
{
"epoch": 1.5709969788519638,
"grad_norm": 0.41706299781799316,
"learning_rate": 1.3716012084592145e-05,
"loss": 0.321,
"step": 520
},
{
"epoch": 1.5709969788519638,
"eval_accuracy": 0.8758169934640523,
"eval_loss": 0.4749080538749695,
"eval_runtime": 16.3975,
"eval_samples_per_second": 9.331,
"eval_steps_per_second": 2.378,
"step": 520
},
{
"epoch": 1.6314199395770392,
"grad_norm": 0.012226684018969536,
"learning_rate": 1.3474320241691845e-05,
"loss": 0.1871,
"step": 540
},
{
"epoch": 1.6314199395770392,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4391900300979614,
"eval_runtime": 15.3076,
"eval_samples_per_second": 9.995,
"eval_steps_per_second": 2.548,
"step": 540
},
{
"epoch": 1.691842900302115,
"grad_norm": 0.008862942457199097,
"learning_rate": 1.3232628398791542e-05,
"loss": 0.1654,
"step": 560
},
{
"epoch": 1.691842900302115,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.46628066897392273,
"eval_runtime": 15.645,
"eval_samples_per_second": 9.779,
"eval_steps_per_second": 2.493,
"step": 560
},
{
"epoch": 1.7522658610271904,
"grad_norm": 0.03276165947318077,
"learning_rate": 1.299093655589124e-05,
"loss": 0.3166,
"step": 580
},
{
"epoch": 1.7522658610271904,
"eval_accuracy": 0.8888888888888888,
"eval_loss": 0.5047788619995117,
"eval_runtime": 15.5009,
"eval_samples_per_second": 9.87,
"eval_steps_per_second": 2.516,
"step": 580
},
{
"epoch": 1.8126888217522659,
"grad_norm": 0.23161815106868744,
"learning_rate": 1.2749244712990937e-05,
"loss": 0.222,
"step": 600
},
{
"epoch": 1.8126888217522659,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4549576938152313,
"eval_runtime": 15.4555,
"eval_samples_per_second": 9.899,
"eval_steps_per_second": 2.523,
"step": 600
},
{
"epoch": 1.8731117824773413,
"grad_norm": 343.22900390625,
"learning_rate": 1.2507552870090635e-05,
"loss": 0.4299,
"step": 620
},
{
"epoch": 1.8731117824773413,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.3444612920284271,
"eval_runtime": 15.5061,
"eval_samples_per_second": 9.867,
"eval_steps_per_second": 2.515,
"step": 620
},
{
"epoch": 1.9335347432024168,
"grad_norm": 0.07708082348108292,
"learning_rate": 1.2265861027190334e-05,
"loss": 0.0942,
"step": 640
},
{
"epoch": 1.9335347432024168,
"eval_accuracy": 0.9281045751633987,
"eval_loss": 0.3734738230705261,
"eval_runtime": 15.5297,
"eval_samples_per_second": 9.852,
"eval_steps_per_second": 2.511,
"step": 640
},
{
"epoch": 1.9939577039274925,
"grad_norm": 0.010122493840754032,
"learning_rate": 1.2024169184290032e-05,
"loss": 0.3991,
"step": 660
},
{
"epoch": 1.9939577039274925,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.3646344840526581,
"eval_runtime": 15.4716,
"eval_samples_per_second": 9.889,
"eval_steps_per_second": 2.521,
"step": 660
},
{
"epoch": 2.054380664652568,
"grad_norm": 0.750132143497467,
"learning_rate": 1.178247734138973e-05,
"loss": 0.0581,
"step": 680
},
{
"epoch": 2.054380664652568,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.3526937961578369,
"eval_runtime": 15.4654,
"eval_samples_per_second": 9.893,
"eval_steps_per_second": 2.522,
"step": 680
},
{
"epoch": 2.1148036253776437,
"grad_norm": 25.176610946655273,
"learning_rate": 1.1540785498489427e-05,
"loss": 0.2712,
"step": 700
},
{
"epoch": 2.1148036253776437,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.42697274684906006,
"eval_runtime": 15.4239,
"eval_samples_per_second": 9.92,
"eval_steps_per_second": 2.529,
"step": 700
},
{
"epoch": 2.175226586102719,
"grad_norm": 0.046931881457567215,
"learning_rate": 1.1299093655589124e-05,
"loss": 0.0443,
"step": 720
},
{
"epoch": 2.175226586102719,
"eval_accuracy": 0.8954248366013072,
"eval_loss": 0.5462331771850586,
"eval_runtime": 15.4688,
"eval_samples_per_second": 9.891,
"eval_steps_per_second": 2.521,
"step": 720
},
{
"epoch": 2.2356495468277946,
"grad_norm": 0.033700473606586456,
"learning_rate": 1.1057401812688822e-05,
"loss": 0.3831,
"step": 740
},
{
"epoch": 2.2356495468277946,
"eval_accuracy": 0.9215686274509803,
"eval_loss": 0.3418585956096649,
"eval_runtime": 15.5047,
"eval_samples_per_second": 9.868,
"eval_steps_per_second": 2.515,
"step": 740
},
{
"epoch": 2.29607250755287,
"grad_norm": 0.046377379447221756,
"learning_rate": 1.0815709969788521e-05,
"loss": 0.2267,
"step": 760
},
{
"epoch": 2.29607250755287,
"eval_accuracy": 0.8888888888888888,
"eval_loss": 0.4924568831920624,
"eval_runtime": 15.5047,
"eval_samples_per_second": 9.868,
"eval_steps_per_second": 2.515,
"step": 760
},
{
"epoch": 2.3564954682779455,
"grad_norm": 9.31714916229248,
"learning_rate": 1.0574018126888219e-05,
"loss": 0.1821,
"step": 780
},
{
"epoch": 2.3564954682779455,
"eval_accuracy": 0.9215686274509803,
"eval_loss": 0.3624768853187561,
"eval_runtime": 15.502,
"eval_samples_per_second": 9.87,
"eval_steps_per_second": 2.516,
"step": 780
},
{
"epoch": 2.416918429003021,
"grad_norm": 112.68130493164062,
"learning_rate": 1.0332326283987916e-05,
"loss": 0.2926,
"step": 800
},
{
"epoch": 2.416918429003021,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.3670673370361328,
"eval_runtime": 15.4876,
"eval_samples_per_second": 9.879,
"eval_steps_per_second": 2.518,
"step": 800
},
{
"epoch": 2.477341389728097,
"grad_norm": 0.23612752556800842,
"learning_rate": 1.0090634441087614e-05,
"loss": 0.2507,
"step": 820
},
{
"epoch": 2.477341389728097,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.3853074610233307,
"eval_runtime": 15.494,
"eval_samples_per_second": 9.875,
"eval_steps_per_second": 2.517,
"step": 820
},
{
"epoch": 2.5377643504531724,
"grad_norm": 0.00892715621739626,
"learning_rate": 9.848942598187312e-06,
"loss": 0.2446,
"step": 840
},
{
"epoch": 2.5377643504531724,
"eval_accuracy": 0.8954248366013072,
"eval_loss": 0.4570922255516052,
"eval_runtime": 15.4901,
"eval_samples_per_second": 9.877,
"eval_steps_per_second": 2.518,
"step": 840
},
{
"epoch": 2.598187311178248,
"grad_norm": 0.08465878665447235,
"learning_rate": 9.60725075528701e-06,
"loss": 0.1926,
"step": 860
},
{
"epoch": 2.598187311178248,
"eval_accuracy": 0.8496732026143791,
"eval_loss": 0.5435793399810791,
"eval_runtime": 15.4883,
"eval_samples_per_second": 9.878,
"eval_steps_per_second": 2.518,
"step": 860
},
{
"epoch": 2.6586102719033233,
"grad_norm": 65.41895294189453,
"learning_rate": 9.365558912386707e-06,
"loss": 0.1725,
"step": 880
},
{
"epoch": 2.6586102719033233,
"eval_accuracy": 0.8496732026143791,
"eval_loss": 0.6575973629951477,
"eval_runtime": 15.4811,
"eval_samples_per_second": 9.883,
"eval_steps_per_second": 2.519,
"step": 880
},
{
"epoch": 2.719033232628399,
"grad_norm": 0.19986489415168762,
"learning_rate": 9.123867069486404e-06,
"loss": 0.2033,
"step": 900
},
{
"epoch": 2.719033232628399,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.4772132933139801,
"eval_runtime": 15.4823,
"eval_samples_per_second": 9.882,
"eval_steps_per_second": 2.519,
"step": 900
},
{
"epoch": 2.7794561933534743,
"grad_norm": 0.02453712560236454,
"learning_rate": 8.882175226586104e-06,
"loss": 0.0095,
"step": 920
},
{
"epoch": 2.7794561933534743,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.41026702523231506,
"eval_runtime": 15.4862,
"eval_samples_per_second": 9.88,
"eval_steps_per_second": 2.518,
"step": 920
},
{
"epoch": 2.8398791540785497,
"grad_norm": 0.09184593707323074,
"learning_rate": 8.640483383685801e-06,
"loss": 0.2896,
"step": 940
},
{
"epoch": 2.8398791540785497,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4332799017429352,
"eval_runtime": 15.4949,
"eval_samples_per_second": 9.874,
"eval_steps_per_second": 2.517,
"step": 940
},
{
"epoch": 2.900302114803625,
"grad_norm": 88.6507339477539,
"learning_rate": 8.398791540785499e-06,
"loss": 0.2661,
"step": 960
},
{
"epoch": 2.900302114803625,
"eval_accuracy": 0.8888888888888888,
"eval_loss": 0.5792773962020874,
"eval_runtime": 15.4764,
"eval_samples_per_second": 9.886,
"eval_steps_per_second": 2.52,
"step": 960
},
{
"epoch": 2.9607250755287007,
"grad_norm": 0.015309321694076061,
"learning_rate": 8.157099697885196e-06,
"loss": 0.1338,
"step": 980
},
{
"epoch": 2.9607250755287007,
"eval_accuracy": 0.8954248366013072,
"eval_loss": 0.454254150390625,
"eval_runtime": 15.4888,
"eval_samples_per_second": 9.878,
"eval_steps_per_second": 2.518,
"step": 980
},
{
"epoch": 3.0211480362537766,
"grad_norm": 0.06863677501678467,
"learning_rate": 7.915407854984894e-06,
"loss": 0.0751,
"step": 1000
},
{
"epoch": 3.0211480362537766,
"eval_accuracy": 0.8954248366013072,
"eval_loss": 0.5028541684150696,
"eval_runtime": 15.4598,
"eval_samples_per_second": 9.897,
"eval_steps_per_second": 2.523,
"step": 1000
},
{
"epoch": 3.081570996978852,
"grad_norm": 0.047077979892492294,
"learning_rate": 7.673716012084593e-06,
"loss": 0.2093,
"step": 1020
},
{
"epoch": 3.081570996978852,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.4630826711654663,
"eval_runtime": 16.4745,
"eval_samples_per_second": 9.287,
"eval_steps_per_second": 2.367,
"step": 1020
},
{
"epoch": 3.1419939577039275,
"grad_norm": 0.07947070896625519,
"learning_rate": 7.432024169184291e-06,
"loss": 0.2436,
"step": 1040
},
{
"epoch": 3.1419939577039275,
"eval_accuracy": 0.869281045751634,
"eval_loss": 0.5888116359710693,
"eval_runtime": 15.2662,
"eval_samples_per_second": 10.022,
"eval_steps_per_second": 2.555,
"step": 1040
},
{
"epoch": 3.202416918429003,
"grad_norm": 1.2857632637023926,
"learning_rate": 7.190332326283988e-06,
"loss": 0.1375,
"step": 1060
},
{
"epoch": 3.202416918429003,
"eval_accuracy": 0.8888888888888888,
"eval_loss": 0.6457459926605225,
"eval_runtime": 15.6557,
"eval_samples_per_second": 9.773,
"eval_steps_per_second": 2.491,
"step": 1060
},
{
"epoch": 3.2628398791540785,
"grad_norm": 0.029293788596987724,
"learning_rate": 6.948640483383686e-06,
"loss": 0.0049,
"step": 1080
},
{
"epoch": 3.2628398791540785,
"eval_accuracy": 0.8888888888888888,
"eval_loss": 0.6600757837295532,
"eval_runtime": 15.5566,
"eval_samples_per_second": 9.835,
"eval_steps_per_second": 2.507,
"step": 1080
},
{
"epoch": 3.323262839879154,
"grad_norm": 0.01973886974155903,
"learning_rate": 6.706948640483384e-06,
"loss": 0.0089,
"step": 1100
},
{
"epoch": 3.323262839879154,
"eval_accuracy": 0.8823529411764706,
"eval_loss": 0.6461706161499023,
"eval_runtime": 15.4515,
"eval_samples_per_second": 9.902,
"eval_steps_per_second": 2.524,
"step": 1100
},
{
"epoch": 3.38368580060423,
"grad_norm": 0.0038618145044893026,
"learning_rate": 6.465256797583082e-06,
"loss": 0.0616,
"step": 1120
},
{
"epoch": 3.38368580060423,
"eval_accuracy": 0.8888888888888888,
"eval_loss": 0.6607339978218079,
"eval_runtime": 15.5198,
"eval_samples_per_second": 9.858,
"eval_steps_per_second": 2.513,
"step": 1120
},
{
"epoch": 3.4441087613293053,
"grad_norm": 0.009797470644116402,
"learning_rate": 6.22356495468278e-06,
"loss": 0.006,
"step": 1140
},
{
"epoch": 3.4441087613293053,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.6243405938148499,
"eval_runtime": 15.5129,
"eval_samples_per_second": 9.863,
"eval_steps_per_second": 2.514,
"step": 1140
},
{
"epoch": 3.504531722054381,
"grad_norm": 0.01924210786819458,
"learning_rate": 5.981873111782478e-06,
"loss": 0.1769,
"step": 1160
},
{
"epoch": 3.504531722054381,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.5256864428520203,
"eval_runtime": 15.4982,
"eval_samples_per_second": 9.872,
"eval_steps_per_second": 2.516,
"step": 1160
},
{
"epoch": 3.5649546827794563,
"grad_norm": 0.06478149443864822,
"learning_rate": 5.7401812688821754e-06,
"loss": 0.0044,
"step": 1180
},
{
"epoch": 3.5649546827794563,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.5507912039756775,
"eval_runtime": 15.4829,
"eval_samples_per_second": 9.882,
"eval_steps_per_second": 2.519,
"step": 1180
},
{
"epoch": 3.6253776435045317,
"grad_norm": 0.14462168514728546,
"learning_rate": 5.498489425981873e-06,
"loss": 0.2295,
"step": 1200
},
{
"epoch": 3.6253776435045317,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.48460787534713745,
"eval_runtime": 15.4689,
"eval_samples_per_second": 9.891,
"eval_steps_per_second": 2.521,
"step": 1200
},
{
"epoch": 3.685800604229607,
"grad_norm": 0.004326341208070517,
"learning_rate": 5.2567975830815706e-06,
"loss": 0.1175,
"step": 1220
},
{
"epoch": 3.685800604229607,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.4763535261154175,
"eval_runtime": 15.4639,
"eval_samples_per_second": 9.894,
"eval_steps_per_second": 2.522,
"step": 1220
},
{
"epoch": 3.7462235649546827,
"grad_norm": 0.016803044825792313,
"learning_rate": 5.01510574018127e-06,
"loss": 0.0746,
"step": 1240
},
{
"epoch": 3.7462235649546827,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.4760640561580658,
"eval_runtime": 15.4735,
"eval_samples_per_second": 9.888,
"eval_steps_per_second": 2.52,
"step": 1240
},
{
"epoch": 3.806646525679758,
"grad_norm": 0.024552155286073685,
"learning_rate": 4.773413897280967e-06,
"loss": 0.0222,
"step": 1260
},
{
"epoch": 3.806646525679758,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.48361214995384216,
"eval_runtime": 15.4614,
"eval_samples_per_second": 9.896,
"eval_steps_per_second": 2.522,
"step": 1260
},
{
"epoch": 3.8670694864048336,
"grad_norm": 0.04030178114771843,
"learning_rate": 4.531722054380665e-06,
"loss": 0.0012,
"step": 1280
},
{
"epoch": 3.8670694864048336,
"eval_accuracy": 0.9215686274509803,
"eval_loss": 0.4774629771709442,
"eval_runtime": 15.4388,
"eval_samples_per_second": 9.91,
"eval_steps_per_second": 2.526,
"step": 1280
},
{
"epoch": 3.9274924471299095,
"grad_norm": 0.030293526127934456,
"learning_rate": 4.2900302114803626e-06,
"loss": 0.2131,
"step": 1300
},
{
"epoch": 3.9274924471299095,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.46071678400039673,
"eval_runtime": 15.4357,
"eval_samples_per_second": 9.912,
"eval_steps_per_second": 2.527,
"step": 1300
},
{
"epoch": 3.987915407854985,
"grad_norm": 0.04355171322822571,
"learning_rate": 4.048338368580061e-06,
"loss": 0.0006,
"step": 1320
},
{
"epoch": 3.987915407854985,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4934905767440796,
"eval_runtime": 15.4993,
"eval_samples_per_second": 9.871,
"eval_steps_per_second": 2.516,
"step": 1320
},
{
"epoch": 4.04833836858006,
"grad_norm": 0.023308318108320236,
"learning_rate": 3.8066465256797586e-06,
"loss": 0.0758,
"step": 1340
},
{
"epoch": 4.04833836858006,
"eval_accuracy": 0.9019607843137255,
"eval_loss": 0.4591919183731079,
"eval_runtime": 15.4907,
"eval_samples_per_second": 9.877,
"eval_steps_per_second": 2.518,
"step": 1340
},
{
"epoch": 4.108761329305136,
"grad_norm": 0.007429028861224651,
"learning_rate": 3.564954682779456e-06,
"loss": 0.1466,
"step": 1360
},
{
"epoch": 4.108761329305136,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4464338719844818,
"eval_runtime": 15.4771,
"eval_samples_per_second": 9.886,
"eval_steps_per_second": 2.52,
"step": 1360
},
{
"epoch": 4.169184290030212,
"grad_norm": 0.019125748425722122,
"learning_rate": 3.3232628398791546e-06,
"loss": 0.0488,
"step": 1380
},
{
"epoch": 4.169184290030212,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4816044867038727,
"eval_runtime": 15.4856,
"eval_samples_per_second": 9.88,
"eval_steps_per_second": 2.518,
"step": 1380
},
{
"epoch": 4.229607250755287,
"grad_norm": 0.02935463935136795,
"learning_rate": 3.081570996978852e-06,
"loss": 0.0014,
"step": 1400
},
{
"epoch": 4.229607250755287,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.4570343494415283,
"eval_runtime": 15.452,
"eval_samples_per_second": 9.902,
"eval_steps_per_second": 2.524,
"step": 1400
},
{
"epoch": 4.290030211480363,
"grad_norm": 0.05864783003926277,
"learning_rate": 2.83987915407855e-06,
"loss": 0.082,
"step": 1420
},
{
"epoch": 4.290030211480363,
"eval_accuracy": 0.9215686274509803,
"eval_loss": 0.45447495579719543,
"eval_runtime": 15.4821,
"eval_samples_per_second": 9.882,
"eval_steps_per_second": 2.519,
"step": 1420
},
{
"epoch": 4.350453172205438,
"grad_norm": 1.1889474391937256,
"learning_rate": 2.598187311178248e-06,
"loss": 0.0009,
"step": 1440
},
{
"epoch": 4.350453172205438,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.4721324145793915,
"eval_runtime": 15.4932,
"eval_samples_per_second": 9.875,
"eval_steps_per_second": 2.517,
"step": 1440
},
{
"epoch": 4.410876132930514,
"grad_norm": 0.017764601856470108,
"learning_rate": 2.3564954682779457e-06,
"loss": 0.0008,
"step": 1460
},
{
"epoch": 4.410876132930514,
"eval_accuracy": 0.9215686274509803,
"eval_loss": 0.4873809814453125,
"eval_runtime": 15.477,
"eval_samples_per_second": 9.886,
"eval_steps_per_second": 2.52,
"step": 1460
},
{
"epoch": 4.471299093655589,
"grad_norm": 0.016238484531641006,
"learning_rate": 2.1148036253776437e-06,
"loss": 0.0014,
"step": 1480
},
{
"epoch": 4.471299093655589,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.5002758502960205,
"eval_runtime": 15.4881,
"eval_samples_per_second": 9.879,
"eval_steps_per_second": 2.518,
"step": 1480
},
{
"epoch": 4.531722054380665,
"grad_norm": 0.037868522107601166,
"learning_rate": 1.8731117824773415e-06,
"loss": 0.1612,
"step": 1500
},
{
"epoch": 4.531722054380665,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.5064195394515991,
"eval_runtime": 15.5013,
"eval_samples_per_second": 9.87,
"eval_steps_per_second": 2.516,
"step": 1500
},
{
"epoch": 4.59214501510574,
"grad_norm": 0.01508911419659853,
"learning_rate": 1.6314199395770395e-06,
"loss": 0.2079,
"step": 1520
},
{
"epoch": 4.59214501510574,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.4994471073150635,
"eval_runtime": 16.27,
"eval_samples_per_second": 9.404,
"eval_steps_per_second": 2.397,
"step": 1520
},
{
"epoch": 4.652567975830816,
"grad_norm": 0.037796132266521454,
"learning_rate": 1.3897280966767373e-06,
"loss": 0.1423,
"step": 1540
},
{
"epoch": 4.652567975830816,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.4834767282009125,
"eval_runtime": 15.2545,
"eval_samples_per_second": 10.03,
"eval_steps_per_second": 2.557,
"step": 1540
},
{
"epoch": 4.712990936555891,
"grad_norm": 0.04188241437077522,
"learning_rate": 1.1480362537764353e-06,
"loss": 0.0009,
"step": 1560
},
{
"epoch": 4.712990936555891,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4825386703014374,
"eval_runtime": 15.7256,
"eval_samples_per_second": 9.729,
"eval_steps_per_second": 2.48,
"step": 1560
},
{
"epoch": 4.7734138972809665,
"grad_norm": 0.00891907513141632,
"learning_rate": 9.063444108761329e-07,
"loss": 0.0017,
"step": 1580
},
{
"epoch": 4.7734138972809665,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.4918363392353058,
"eval_runtime": 15.5035,
"eval_samples_per_second": 9.869,
"eval_steps_per_second": 2.516,
"step": 1580
},
{
"epoch": 4.833836858006042,
"grad_norm": 0.02154299058020115,
"learning_rate": 6.646525679758309e-07,
"loss": 0.0648,
"step": 1600
},
{
"epoch": 4.833836858006042,
"eval_accuracy": 0.9150326797385621,
"eval_loss": 0.4916614294052124,
"eval_runtime": 15.4748,
"eval_samples_per_second": 9.887,
"eval_steps_per_second": 2.52,
"step": 1600
},
{
"epoch": 4.8942598187311175,
"grad_norm": 1.6405360698699951,
"learning_rate": 4.2296072507552877e-07,
"loss": 0.0531,
"step": 1620
},
{
"epoch": 4.8942598187311175,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.49186328053474426,
"eval_runtime": 15.5247,
"eval_samples_per_second": 9.855,
"eval_steps_per_second": 2.512,
"step": 1620
},
{
"epoch": 4.954682779456194,
"grad_norm": 0.05020515248179436,
"learning_rate": 1.812688821752266e-07,
"loss": 0.0008,
"step": 1640
},
{
"epoch": 4.954682779456194,
"eval_accuracy": 0.9084967320261438,
"eval_loss": 0.49449607729911804,
"eval_runtime": 15.5248,
"eval_samples_per_second": 9.855,
"eval_steps_per_second": 2.512,
"step": 1640
}
],
"logging_steps": 20,
"max_steps": 1655,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 5352059977451376.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}