Baidicoot's picture
Upload folder using huggingface_hub
91479c4 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.574803149606299,
"eval_steps": 5,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.015748031496062992,
"grad_norm": 5.510926246643066,
"learning_rate": 1.9894179894179895e-05,
"loss": 0.9249,
"step": 1
},
{
"epoch": 0.031496062992125984,
"grad_norm": 8.61505126953125,
"learning_rate": 1.978835978835979e-05,
"loss": 0.8445,
"step": 2
},
{
"epoch": 0.047244094488188976,
"grad_norm": 7.036591529846191,
"learning_rate": 1.9682539682539684e-05,
"loss": 0.9654,
"step": 3
},
{
"epoch": 0.06299212598425197,
"grad_norm": 5.803933143615723,
"learning_rate": 1.9576719576719577e-05,
"loss": 0.9276,
"step": 4
},
{
"epoch": 0.07874015748031496,
"grad_norm": 5.716428756713867,
"learning_rate": 1.947089947089947e-05,
"loss": 0.9241,
"step": 5
},
{
"epoch": 0.07874015748031496,
"eval_accuracy": 0.5678496868475992,
"eval_loss": 0.6996241807937622,
"eval_runtime": 108.7291,
"eval_samples_per_second": 4.405,
"eval_steps_per_second": 0.552,
"step": 5
},
{
"epoch": 0.09448818897637795,
"grad_norm": 7.55866813659668,
"learning_rate": 1.9365079365079367e-05,
"loss": 0.9947,
"step": 6
},
{
"epoch": 0.11023622047244094,
"grad_norm": 6.801171779632568,
"learning_rate": 1.925925925925926e-05,
"loss": 0.972,
"step": 7
},
{
"epoch": 0.12598425196850394,
"grad_norm": 4.845946311950684,
"learning_rate": 1.9153439153439156e-05,
"loss": 0.6478,
"step": 8
},
{
"epoch": 0.14173228346456693,
"grad_norm": 10.487945556640625,
"learning_rate": 1.904761904761905e-05,
"loss": 0.8597,
"step": 9
},
{
"epoch": 0.15748031496062992,
"grad_norm": 5.452786445617676,
"learning_rate": 1.8941798941798943e-05,
"loss": 0.7708,
"step": 10
},
{
"epoch": 0.15748031496062992,
"eval_accuracy": 0.6659707724425887,
"eval_loss": 0.6283570528030396,
"eval_runtime": 108.7155,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 10
},
{
"epoch": 0.1732283464566929,
"grad_norm": 4.522532939910889,
"learning_rate": 1.8835978835978836e-05,
"loss": 0.6848,
"step": 11
},
{
"epoch": 0.1889763779527559,
"grad_norm": 6.4987688064575195,
"learning_rate": 1.8730158730158732e-05,
"loss": 0.6644,
"step": 12
},
{
"epoch": 0.2047244094488189,
"grad_norm": 4.2297682762146,
"learning_rate": 1.8624338624338625e-05,
"loss": 0.7227,
"step": 13
},
{
"epoch": 0.2204724409448819,
"grad_norm": 6.5658063888549805,
"learning_rate": 1.851851851851852e-05,
"loss": 0.6991,
"step": 14
},
{
"epoch": 0.23622047244094488,
"grad_norm": 6.549685001373291,
"learning_rate": 1.8412698412698415e-05,
"loss": 0.7875,
"step": 15
},
{
"epoch": 0.23622047244094488,
"eval_accuracy": 0.7244258872651357,
"eval_loss": 0.5749094486236572,
"eval_runtime": 108.7121,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 15
},
{
"epoch": 0.25196850393700787,
"grad_norm": 3.6349198818206787,
"learning_rate": 1.8306878306878308e-05,
"loss": 0.5732,
"step": 16
},
{
"epoch": 0.2677165354330709,
"grad_norm": 4.741979598999023,
"learning_rate": 1.82010582010582e-05,
"loss": 0.5774,
"step": 17
},
{
"epoch": 0.28346456692913385,
"grad_norm": 4.751223087310791,
"learning_rate": 1.8095238095238097e-05,
"loss": 0.5738,
"step": 18
},
{
"epoch": 0.2992125984251969,
"grad_norm": 5.214819431304932,
"learning_rate": 1.798941798941799e-05,
"loss": 0.7182,
"step": 19
},
{
"epoch": 0.31496062992125984,
"grad_norm": 5.566962718963623,
"learning_rate": 1.7883597883597884e-05,
"loss": 0.6575,
"step": 20
},
{
"epoch": 0.31496062992125984,
"eval_accuracy": 0.7390396659707724,
"eval_loss": 0.5360159873962402,
"eval_runtime": 108.7252,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 20
},
{
"epoch": 0.33070866141732286,
"grad_norm": 4.060683727264404,
"learning_rate": 1.7777777777777777e-05,
"loss": 0.5976,
"step": 21
},
{
"epoch": 0.3464566929133858,
"grad_norm": 5.9868621826171875,
"learning_rate": 1.7671957671957673e-05,
"loss": 0.7734,
"step": 22
},
{
"epoch": 0.36220472440944884,
"grad_norm": 3.4295496940612793,
"learning_rate": 1.7566137566137566e-05,
"loss": 0.5543,
"step": 23
},
{
"epoch": 0.3779527559055118,
"grad_norm": 4.587719917297363,
"learning_rate": 1.7460317460317463e-05,
"loss": 0.6497,
"step": 24
},
{
"epoch": 0.3937007874015748,
"grad_norm": 4.520890235900879,
"learning_rate": 1.7354497354497356e-05,
"loss": 0.6802,
"step": 25
},
{
"epoch": 0.3937007874015748,
"eval_accuracy": 0.7432150313152401,
"eval_loss": 0.5086582899093628,
"eval_runtime": 108.7194,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 25
},
{
"epoch": 0.4094488188976378,
"grad_norm": 3.653116464614868,
"learning_rate": 1.724867724867725e-05,
"loss": 0.4888,
"step": 26
},
{
"epoch": 0.4251968503937008,
"grad_norm": 4.042315483093262,
"learning_rate": 1.7142857142857142e-05,
"loss": 0.6004,
"step": 27
},
{
"epoch": 0.4409448818897638,
"grad_norm": 5.317520618438721,
"learning_rate": 1.7037037037037038e-05,
"loss": 0.6253,
"step": 28
},
{
"epoch": 0.4566929133858268,
"grad_norm": 3.8642020225524902,
"learning_rate": 1.693121693121693e-05,
"loss": 0.5778,
"step": 29
},
{
"epoch": 0.47244094488188976,
"grad_norm": 2.3941361904144287,
"learning_rate": 1.6825396825396828e-05,
"loss": 0.3982,
"step": 30
},
{
"epoch": 0.47244094488188976,
"eval_accuracy": 0.7578288100208769,
"eval_loss": 0.4889708459377289,
"eval_runtime": 108.7183,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 30
},
{
"epoch": 0.4881889763779528,
"grad_norm": 4.1248650550842285,
"learning_rate": 1.671957671957672e-05,
"loss": 0.777,
"step": 31
},
{
"epoch": 0.5039370078740157,
"grad_norm": 3.369483470916748,
"learning_rate": 1.6613756613756614e-05,
"loss": 0.5675,
"step": 32
},
{
"epoch": 0.5196850393700787,
"grad_norm": 3.8457119464874268,
"learning_rate": 1.6507936507936507e-05,
"loss": 0.6227,
"step": 33
},
{
"epoch": 0.5354330708661418,
"grad_norm": 4.809354782104492,
"learning_rate": 1.6402116402116404e-05,
"loss": 0.7111,
"step": 34
},
{
"epoch": 0.5511811023622047,
"grad_norm": 2.84769868850708,
"learning_rate": 1.6296296296296297e-05,
"loss": 0.4555,
"step": 35
},
{
"epoch": 0.5511811023622047,
"eval_accuracy": 0.7599164926931107,
"eval_loss": 0.4774630665779114,
"eval_runtime": 108.7145,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 35
},
{
"epoch": 0.5669291338582677,
"grad_norm": 4.496406555175781,
"learning_rate": 1.6190476190476193e-05,
"loss": 0.6703,
"step": 36
},
{
"epoch": 0.5826771653543307,
"grad_norm": 5.721245288848877,
"learning_rate": 1.6084656084656086e-05,
"loss": 0.7066,
"step": 37
},
{
"epoch": 0.5984251968503937,
"grad_norm": 4.494580268859863,
"learning_rate": 1.597883597883598e-05,
"loss": 0.4907,
"step": 38
},
{
"epoch": 0.6141732283464567,
"grad_norm": 2.8905560970306396,
"learning_rate": 1.5873015873015872e-05,
"loss": 0.5501,
"step": 39
},
{
"epoch": 0.6299212598425197,
"grad_norm": 9.776362419128418,
"learning_rate": 1.576719576719577e-05,
"loss": 0.8838,
"step": 40
},
{
"epoch": 0.6299212598425197,
"eval_accuracy": 0.7661795407098121,
"eval_loss": 0.46829721331596375,
"eval_runtime": 108.7189,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 40
},
{
"epoch": 0.6456692913385826,
"grad_norm": 3.8481881618499756,
"learning_rate": 1.5661375661375662e-05,
"loss": 0.5309,
"step": 41
},
{
"epoch": 0.6614173228346457,
"grad_norm": 6.0327839851379395,
"learning_rate": 1.555555555555556e-05,
"loss": 0.6414,
"step": 42
},
{
"epoch": 0.6771653543307087,
"grad_norm": 4.993657112121582,
"learning_rate": 1.544973544973545e-05,
"loss": 0.5727,
"step": 43
},
{
"epoch": 0.6929133858267716,
"grad_norm": 4.3265252113342285,
"learning_rate": 1.5343915343915344e-05,
"loss": 0.4913,
"step": 44
},
{
"epoch": 0.7086614173228346,
"grad_norm": 3.6012353897094727,
"learning_rate": 1.523809523809524e-05,
"loss": 0.4692,
"step": 45
},
{
"epoch": 0.7086614173228346,
"eval_accuracy": 0.7661795407098121,
"eval_loss": 0.4610559344291687,
"eval_runtime": 108.7229,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 45
},
{
"epoch": 0.7244094488188977,
"grad_norm": 4.319406509399414,
"learning_rate": 1.5132275132275134e-05,
"loss": 0.5203,
"step": 46
},
{
"epoch": 0.7401574803149606,
"grad_norm": 3.885263442993164,
"learning_rate": 1.5026455026455027e-05,
"loss": 0.5084,
"step": 47
},
{
"epoch": 0.7559055118110236,
"grad_norm": 3.547327995300293,
"learning_rate": 1.4920634920634922e-05,
"loss": 0.442,
"step": 48
},
{
"epoch": 0.7716535433070866,
"grad_norm": 3.8868982791900635,
"learning_rate": 1.4814814814814815e-05,
"loss": 0.5848,
"step": 49
},
{
"epoch": 0.7874015748031497,
"grad_norm": 2.222346544265747,
"learning_rate": 1.470899470899471e-05,
"loss": 0.5455,
"step": 50
},
{
"epoch": 0.7874015748031497,
"eval_accuracy": 0.7620041753653445,
"eval_loss": 0.4531377851963043,
"eval_runtime": 108.7528,
"eval_samples_per_second": 4.404,
"eval_steps_per_second": 0.552,
"step": 50
},
{
"epoch": 0.8031496062992126,
"grad_norm": 3.129575252532959,
"learning_rate": 1.4603174603174603e-05,
"loss": 0.4861,
"step": 51
},
{
"epoch": 0.8188976377952756,
"grad_norm": 4.924710750579834,
"learning_rate": 1.44973544973545e-05,
"loss": 0.5782,
"step": 52
},
{
"epoch": 0.8346456692913385,
"grad_norm": 5.2157182693481445,
"learning_rate": 1.4391534391534392e-05,
"loss": 0.7203,
"step": 53
},
{
"epoch": 0.8503937007874016,
"grad_norm": 4.697371959686279,
"learning_rate": 1.4285714285714287e-05,
"loss": 0.4261,
"step": 54
},
{
"epoch": 0.8661417322834646,
"grad_norm": 2.8899056911468506,
"learning_rate": 1.417989417989418e-05,
"loss": 0.5696,
"step": 55
},
{
"epoch": 0.8661417322834646,
"eval_accuracy": 0.7661795407098121,
"eval_loss": 0.4459321200847626,
"eval_runtime": 108.7951,
"eval_samples_per_second": 4.403,
"eval_steps_per_second": 0.551,
"step": 55
},
{
"epoch": 0.8818897637795275,
"grad_norm": 4.532041072845459,
"learning_rate": 1.4074074074074075e-05,
"loss": 0.5723,
"step": 56
},
{
"epoch": 0.8976377952755905,
"grad_norm": 2.3436343669891357,
"learning_rate": 1.3968253968253968e-05,
"loss": 0.3629,
"step": 57
},
{
"epoch": 0.9133858267716536,
"grad_norm": 3.333158493041992,
"learning_rate": 1.3862433862433865e-05,
"loss": 0.5433,
"step": 58
},
{
"epoch": 0.9291338582677166,
"grad_norm": 4.177884101867676,
"learning_rate": 1.3756613756613758e-05,
"loss": 0.3747,
"step": 59
},
{
"epoch": 0.9448818897637795,
"grad_norm": 5.238712310791016,
"learning_rate": 1.3650793650793652e-05,
"loss": 0.7453,
"step": 60
},
{
"epoch": 0.9448818897637795,
"eval_accuracy": 0.7766179540709812,
"eval_loss": 0.4413756728172302,
"eval_runtime": 108.7463,
"eval_samples_per_second": 4.405,
"eval_steps_per_second": 0.552,
"step": 60
},
{
"epoch": 0.9606299212598425,
"grad_norm": 4.022979736328125,
"learning_rate": 1.3544973544973545e-05,
"loss": 0.6177,
"step": 61
},
{
"epoch": 0.9763779527559056,
"grad_norm": 2.0528969764709473,
"learning_rate": 1.343915343915344e-05,
"loss": 0.3505,
"step": 62
},
{
"epoch": 0.9921259842519685,
"grad_norm": 3.9705586433410645,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.5858,
"step": 63
},
{
"epoch": 1.0078740157480315,
"grad_norm": 8.341585159301758,
"learning_rate": 1.322751322751323e-05,
"loss": 0.6721,
"step": 64
},
{
"epoch": 1.0236220472440944,
"grad_norm": 4.031370162963867,
"learning_rate": 1.3121693121693123e-05,
"loss": 0.5369,
"step": 65
},
{
"epoch": 1.0236220472440944,
"eval_accuracy": 0.7828810020876826,
"eval_loss": 0.43705105781555176,
"eval_runtime": 108.7278,
"eval_samples_per_second": 4.405,
"eval_steps_per_second": 0.552,
"step": 65
},
{
"epoch": 1.0393700787401574,
"grad_norm": 2.898926019668579,
"learning_rate": 1.3015873015873018e-05,
"loss": 0.3628,
"step": 66
},
{
"epoch": 1.0551181102362204,
"grad_norm": 2.9200918674468994,
"learning_rate": 1.291005291005291e-05,
"loss": 0.3311,
"step": 67
},
{
"epoch": 1.0708661417322836,
"grad_norm": 4.506103992462158,
"learning_rate": 1.2804232804232805e-05,
"loss": 0.5813,
"step": 68
},
{
"epoch": 1.0866141732283465,
"grad_norm": 4.187809944152832,
"learning_rate": 1.2698412698412699e-05,
"loss": 0.4802,
"step": 69
},
{
"epoch": 1.1023622047244095,
"grad_norm": 3.5520920753479004,
"learning_rate": 1.2592592592592593e-05,
"loss": 0.3994,
"step": 70
},
{
"epoch": 1.1023622047244095,
"eval_accuracy": 0.7849686847599165,
"eval_loss": 0.43335652351379395,
"eval_runtime": 108.738,
"eval_samples_per_second": 4.405,
"eval_steps_per_second": 0.552,
"step": 70
},
{
"epoch": 1.1181102362204725,
"grad_norm": 3.6081998348236084,
"learning_rate": 1.2486772486772486e-05,
"loss": 0.5266,
"step": 71
},
{
"epoch": 1.1338582677165354,
"grad_norm": 3.6554276943206787,
"learning_rate": 1.2380952380952383e-05,
"loss": 0.5231,
"step": 72
},
{
"epoch": 1.1496062992125984,
"grad_norm": 3.551367998123169,
"learning_rate": 1.2275132275132276e-05,
"loss": 0.4538,
"step": 73
},
{
"epoch": 1.1653543307086613,
"grad_norm": 4.252958297729492,
"learning_rate": 1.216931216931217e-05,
"loss": 0.4688,
"step": 74
},
{
"epoch": 1.1811023622047245,
"grad_norm": 4.337672710418701,
"learning_rate": 1.2063492063492064e-05,
"loss": 0.4235,
"step": 75
},
{
"epoch": 1.1811023622047245,
"eval_accuracy": 0.791231732776618,
"eval_loss": 0.429808109998703,
"eval_runtime": 108.723,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 75
},
{
"epoch": 1.1968503937007875,
"grad_norm": 2.607356548309326,
"learning_rate": 1.1957671957671959e-05,
"loss": 0.3639,
"step": 76
},
{
"epoch": 1.2125984251968505,
"grad_norm": 3.198551654815674,
"learning_rate": 1.1851851851851852e-05,
"loss": 0.4066,
"step": 77
},
{
"epoch": 1.2283464566929134,
"grad_norm": 4.820532321929932,
"learning_rate": 1.1746031746031748e-05,
"loss": 0.5906,
"step": 78
},
{
"epoch": 1.2440944881889764,
"grad_norm": 3.5706419944763184,
"learning_rate": 1.1640211640211641e-05,
"loss": 0.5065,
"step": 79
},
{
"epoch": 1.2598425196850394,
"grad_norm": 4.763455867767334,
"learning_rate": 1.1534391534391536e-05,
"loss": 0.4811,
"step": 80
},
{
"epoch": 1.2598425196850394,
"eval_accuracy": 0.791231732776618,
"eval_loss": 0.4265703856945038,
"eval_runtime": 108.7158,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 80
},
{
"epoch": 1.2755905511811023,
"grad_norm": 5.053676605224609,
"learning_rate": 1.1428571428571429e-05,
"loss": 0.5317,
"step": 81
},
{
"epoch": 1.2913385826771653,
"grad_norm": 4.484920024871826,
"learning_rate": 1.1322751322751324e-05,
"loss": 0.5474,
"step": 82
},
{
"epoch": 1.3070866141732282,
"grad_norm": 4.059377193450928,
"learning_rate": 1.1216931216931217e-05,
"loss": 0.4936,
"step": 83
},
{
"epoch": 1.3228346456692912,
"grad_norm": 4.017063617706299,
"learning_rate": 1.1111111111111113e-05,
"loss": 0.3574,
"step": 84
},
{
"epoch": 1.3385826771653544,
"grad_norm": 3.275650978088379,
"learning_rate": 1.1005291005291006e-05,
"loss": 0.5072,
"step": 85
},
{
"epoch": 1.3385826771653544,
"eval_accuracy": 0.791231732776618,
"eval_loss": 0.4252822697162628,
"eval_runtime": 108.7176,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 85
},
{
"epoch": 1.3543307086614174,
"grad_norm": 5.258458614349365,
"learning_rate": 1.0899470899470901e-05,
"loss": 0.6735,
"step": 86
},
{
"epoch": 1.3700787401574803,
"grad_norm": 3.070061445236206,
"learning_rate": 1.0793650793650794e-05,
"loss": 0.4365,
"step": 87
},
{
"epoch": 1.3858267716535433,
"grad_norm": 3.556974172592163,
"learning_rate": 1.0687830687830689e-05,
"loss": 0.5113,
"step": 88
},
{
"epoch": 1.4015748031496063,
"grad_norm": 2.5072743892669678,
"learning_rate": 1.0582010582010582e-05,
"loss": 0.286,
"step": 89
},
{
"epoch": 1.4173228346456692,
"grad_norm": 4.407125949859619,
"learning_rate": 1.0476190476190477e-05,
"loss": 0.4405,
"step": 90
},
{
"epoch": 1.4173228346456692,
"eval_accuracy": 0.7849686847599165,
"eval_loss": 0.42280957102775574,
"eval_runtime": 108.7146,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 90
},
{
"epoch": 1.4330708661417324,
"grad_norm": 6.310215473175049,
"learning_rate": 1.037037037037037e-05,
"loss": 0.6205,
"step": 91
},
{
"epoch": 1.4488188976377954,
"grad_norm": 3.586291551589966,
"learning_rate": 1.0264550264550266e-05,
"loss": 0.4571,
"step": 92
},
{
"epoch": 1.4645669291338583,
"grad_norm": 4.950135707855225,
"learning_rate": 1.015873015873016e-05,
"loss": 0.7159,
"step": 93
},
{
"epoch": 1.4803149606299213,
"grad_norm": 2.9908485412597656,
"learning_rate": 1.0052910052910054e-05,
"loss": 0.4769,
"step": 94
},
{
"epoch": 1.4960629921259843,
"grad_norm": 4.945335865020752,
"learning_rate": 9.947089947089947e-06,
"loss": 0.5349,
"step": 95
},
{
"epoch": 1.4960629921259843,
"eval_accuracy": 0.7870563674321504,
"eval_loss": 0.41962236166000366,
"eval_runtime": 108.7194,
"eval_samples_per_second": 4.406,
"eval_steps_per_second": 0.552,
"step": 95
},
{
"epoch": 1.5118110236220472,
"grad_norm": 4.648383140563965,
"learning_rate": 9.841269841269842e-06,
"loss": 0.5035,
"step": 96
},
{
"epoch": 1.5275590551181102,
"grad_norm": 4.447684288024902,
"learning_rate": 9.735449735449735e-06,
"loss": 0.5128,
"step": 97
},
{
"epoch": 1.5433070866141732,
"grad_norm": 3.652973175048828,
"learning_rate": 9.62962962962963e-06,
"loss": 0.3454,
"step": 98
},
{
"epoch": 1.5590551181102361,
"grad_norm": 3.083529472351074,
"learning_rate": 9.523809523809525e-06,
"loss": 0.4522,
"step": 99
},
{
"epoch": 1.574803149606299,
"grad_norm": 2.6377124786376953,
"learning_rate": 9.417989417989418e-06,
"loss": 0.3342,
"step": 100
},
{
"epoch": 1.574803149606299,
"eval_accuracy": 0.7828810020876826,
"eval_loss": 0.4169768989086151,
"eval_runtime": 108.7386,
"eval_samples_per_second": 4.405,
"eval_steps_per_second": 0.552,
"step": 100
}
],
"logging_steps": 1.0,
"max_steps": 189,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 20,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}