Kimiko_J / checkpoint-200 /trainer_state.json
Phương
Upload folder using huggingface_hub
069572c
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.380952380952381,
"global_step": 200,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 2e-05,
"loss": 1.6335,
"step": 1
},
{
"epoch": 0.02,
"learning_rate": 4e-05,
"loss": 1.5176,
"step": 2
},
{
"epoch": 0.04,
"learning_rate": 6e-05,
"loss": 1.4883,
"step": 3
},
{
"epoch": 0.05,
"learning_rate": 8e-05,
"loss": 1.6,
"step": 4
},
{
"epoch": 0.06,
"learning_rate": 0.0001,
"loss": 1.5088,
"step": 5
},
{
"epoch": 0.06,
"eval_loss": 1.7048434019088745,
"eval_runtime": 2.1875,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 5
},
{
"epoch": 0.07,
"learning_rate": 0.00012,
"loss": 1.4985,
"step": 6
},
{
"epoch": 0.08,
"learning_rate": 0.00014,
"loss": 1.4626,
"step": 7
},
{
"epoch": 0.1,
"learning_rate": 0.00016,
"loss": 1.3285,
"step": 8
},
{
"epoch": 0.11,
"learning_rate": 0.00018,
"loss": 1.6476,
"step": 9
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 1.5266,
"step": 10
},
{
"epoch": 0.12,
"eval_loss": 1.692796230316162,
"eval_runtime": 2.1867,
"eval_samples_per_second": 0.915,
"eval_steps_per_second": 0.457,
"step": 10
},
{
"epoch": 0.13,
"learning_rate": 0.0001999915737775817,
"loss": 1.6152,
"step": 11
},
{
"epoch": 0.14,
"learning_rate": 0.00019996629653035126,
"loss": 1.505,
"step": 12
},
{
"epoch": 0.15,
"learning_rate": 0.00019992417251814282,
"loss": 1.3107,
"step": 13
},
{
"epoch": 0.17,
"learning_rate": 0.00019986520883988232,
"loss": 1.3979,
"step": 14
},
{
"epoch": 0.18,
"learning_rate": 0.0001997894154323911,
"loss": 1.2276,
"step": 15
},
{
"epoch": 0.18,
"eval_loss": 1.6662951707839966,
"eval_runtime": 2.186,
"eval_samples_per_second": 0.915,
"eval_steps_per_second": 0.457,
"step": 15
},
{
"epoch": 0.19,
"learning_rate": 0.00019969680506871137,
"loss": 1.7369,
"step": 16
},
{
"epoch": 0.2,
"learning_rate": 0.0001995873933559535,
"loss": 1.6659,
"step": 17
},
{
"epoch": 0.21,
"learning_rate": 0.00019946119873266613,
"loss": 1.1324,
"step": 18
},
{
"epoch": 0.23,
"learning_rate": 0.0001993182424657285,
"loss": 1.9695,
"step": 19
},
{
"epoch": 0.24,
"learning_rate": 0.00019915854864676664,
"loss": 2.5525,
"step": 20
},
{
"epoch": 0.24,
"eval_loss": 1.6528061628341675,
"eval_runtime": 2.1857,
"eval_samples_per_second": 0.915,
"eval_steps_per_second": 0.458,
"step": 20
},
{
"epoch": 0.25,
"learning_rate": 0.0001989821441880933,
"loss": 1.3183,
"step": 21
},
{
"epoch": 0.26,
"learning_rate": 0.00019878905881817252,
"loss": 1.5486,
"step": 22
},
{
"epoch": 0.27,
"learning_rate": 0.0001985793250766098,
"loss": 1.5504,
"step": 23
},
{
"epoch": 0.29,
"learning_rate": 0.00019835297830866826,
"loss": 1.4022,
"step": 24
},
{
"epoch": 0.3,
"learning_rate": 0.00019811005665931205,
"loss": 1.4385,
"step": 25
},
{
"epoch": 0.3,
"eval_loss": 1.6313893795013428,
"eval_runtime": 2.1922,
"eval_samples_per_second": 0.912,
"eval_steps_per_second": 0.456,
"step": 25
},
{
"epoch": 0.31,
"learning_rate": 0.00019785060106677818,
"loss": 1.4413,
"step": 26
},
{
"epoch": 0.32,
"learning_rate": 0.0001975746552556772,
"loss": 1.2569,
"step": 27
},
{
"epoch": 0.33,
"learning_rate": 0.00019728226572962473,
"loss": 1.4904,
"step": 28
},
{
"epoch": 0.35,
"learning_rate": 0.0001969734817634044,
"loss": 1.5558,
"step": 29
},
{
"epoch": 0.36,
"learning_rate": 0.0001966483553946637,
"loss": 1.2282,
"step": 30
},
{
"epoch": 0.36,
"eval_loss": 1.6210927963256836,
"eval_runtime": 2.1889,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 30
},
{
"epoch": 0.37,
"learning_rate": 0.00019630694141514464,
"loss": 1.4598,
"step": 31
},
{
"epoch": 0.38,
"learning_rate": 0.00019594929736144976,
"loss": 1.48,
"step": 32
},
{
"epoch": 0.39,
"learning_rate": 0.0001955754835053459,
"loss": 1.3934,
"step": 33
},
{
"epoch": 0.4,
"learning_rate": 0.00019518556284360696,
"loss": 1.1312,
"step": 34
},
{
"epoch": 0.42,
"learning_rate": 0.0001947796010873974,
"loss": 1.6493,
"step": 35
},
{
"epoch": 0.42,
"eval_loss": 1.6185638904571533,
"eval_runtime": 2.1911,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.456,
"step": 35
},
{
"epoch": 0.43,
"learning_rate": 0.0001943576666511982,
"loss": 1.587,
"step": 36
},
{
"epoch": 0.44,
"learning_rate": 0.0001939198306412775,
"loss": 1.5798,
"step": 37
},
{
"epoch": 0.45,
"learning_rate": 0.0001934661668437073,
"loss": 1.4308,
"step": 38
},
{
"epoch": 0.46,
"learning_rate": 0.0001929967517119289,
"loss": 1.0766,
"step": 39
},
{
"epoch": 0.48,
"learning_rate": 0.0001925116643538684,
"loss": 2.082,
"step": 40
},
{
"epoch": 0.48,
"eval_loss": 1.633681297302246,
"eval_runtime": 2.1862,
"eval_samples_per_second": 0.915,
"eval_steps_per_second": 0.457,
"step": 40
},
{
"epoch": 0.49,
"learning_rate": 0.0001920109865186052,
"loss": 1.8061,
"step": 41
},
{
"epoch": 0.5,
"learning_rate": 0.00019149480258259533,
"loss": 1.4312,
"step": 42
},
{
"epoch": 0.51,
"learning_rate": 0.00019096319953545185,
"loss": 1.737,
"step": 43
},
{
"epoch": 0.52,
"learning_rate": 0.00019041626696528503,
"loss": 1.5035,
"step": 44
},
{
"epoch": 0.54,
"learning_rate": 0.00018985409704360456,
"loss": 1.4689,
"step": 45
},
{
"epoch": 0.54,
"eval_loss": 1.6150808334350586,
"eval_runtime": 2.1952,
"eval_samples_per_second": 0.911,
"eval_steps_per_second": 0.456,
"step": 45
},
{
"epoch": 0.55,
"learning_rate": 0.0001892767845097864,
"loss": 1.2483,
"step": 46
},
{
"epoch": 0.56,
"learning_rate": 0.00018868442665510678,
"loss": 1.1436,
"step": 47
},
{
"epoch": 0.57,
"learning_rate": 0.00018807712330634642,
"loss": 1.0488,
"step": 48
},
{
"epoch": 0.58,
"learning_rate": 0.00018745497680896722,
"loss": 1.3745,
"step": 49
},
{
"epoch": 0.6,
"learning_rate": 0.0001868180920098644,
"loss": 0.9061,
"step": 50
},
{
"epoch": 0.6,
"eval_loss": 1.6097811460494995,
"eval_runtime": 2.1875,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 50
},
{
"epoch": 0.61,
"learning_rate": 0.0001861665762396974,
"loss": 1.1305,
"step": 51
},
{
"epoch": 0.62,
"learning_rate": 0.00018550053929480202,
"loss": 1.2315,
"step": 52
},
{
"epoch": 0.63,
"learning_rate": 0.00018482009341868697,
"loss": 1.4964,
"step": 53
},
{
"epoch": 0.64,
"learning_rate": 0.00018412535328311814,
"loss": 1.0928,
"step": 54
},
{
"epoch": 0.65,
"learning_rate": 0.00018341643596879367,
"loss": 0.9473,
"step": 55
},
{
"epoch": 0.65,
"eval_loss": 1.6084190607070923,
"eval_runtime": 2.1902,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.457,
"step": 55
},
{
"epoch": 0.67,
"learning_rate": 0.0001826934609456129,
"loss": 1.362,
"step": 56
},
{
"epoch": 0.68,
"learning_rate": 0.00018195655005254273,
"loss": 1.5478,
"step": 57
},
{
"epoch": 0.69,
"learning_rate": 0.00018120582747708502,
"loss": 1.4831,
"step": 58
},
{
"epoch": 0.7,
"learning_rate": 0.00018044141973434758,
"loss": 1.7483,
"step": 59
},
{
"epoch": 0.71,
"learning_rate": 0.0001796634556457236,
"loss": 1.4993,
"step": 60
},
{
"epoch": 0.71,
"eval_loss": 1.6235202550888062,
"eval_runtime": 2.1859,
"eval_samples_per_second": 0.915,
"eval_steps_per_second": 0.457,
"step": 60
},
{
"epoch": 0.73,
"learning_rate": 0.00017887206631718203,
"loss": 1.5076,
"step": 61
},
{
"epoch": 0.74,
"learning_rate": 0.0001780673851171728,
"loss": 1.6395,
"step": 62
},
{
"epoch": 0.75,
"learning_rate": 0.00017724954765415137,
"loss": 1.6389,
"step": 63
},
{
"epoch": 0.76,
"learning_rate": 0.00017641869175372493,
"loss": 1.7769,
"step": 64
},
{
"epoch": 0.77,
"learning_rate": 0.00017557495743542585,
"loss": 1.2022,
"step": 65
},
{
"epoch": 0.77,
"eval_loss": 1.6078369617462158,
"eval_runtime": 2.1883,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 65
},
{
"epoch": 0.79,
"learning_rate": 0.00017471848688911464,
"loss": 1.5265,
"step": 66
},
{
"epoch": 0.8,
"learning_rate": 0.00017384942445101772,
"loss": 1.4065,
"step": 67
},
{
"epoch": 0.81,
"learning_rate": 0.000172967916579403,
"loss": 1.4326,
"step": 68
},
{
"epoch": 0.82,
"learning_rate": 0.00017207411182989832,
"loss": 1.571,
"step": 69
},
{
"epoch": 0.83,
"learning_rate": 0.00017116816083045602,
"loss": 1.5233,
"step": 70
},
{
"epoch": 0.83,
"eval_loss": 1.6035966873168945,
"eval_runtime": 2.1894,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 70
},
{
"epoch": 0.85,
"learning_rate": 0.00017025021625596853,
"loss": 1.5745,
"step": 71
},
{
"epoch": 0.86,
"learning_rate": 0.0001693204328025389,
"loss": 1.608,
"step": 72
},
{
"epoch": 0.87,
"learning_rate": 0.0001683789671614107,
"loss": 1.4234,
"step": 73
},
{
"epoch": 0.88,
"learning_rate": 0.00016742597799256182,
"loss": 1.2839,
"step": 74
},
{
"epoch": 0.89,
"learning_rate": 0.00016646162589796615,
"loss": 1.3248,
"step": 75
},
{
"epoch": 0.89,
"eval_loss": 1.6052225828170776,
"eval_runtime": 2.1914,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.456,
"step": 75
},
{
"epoch": 0.9,
"learning_rate": 0.00016548607339452853,
"loss": 1.0683,
"step": 76
},
{
"epoch": 0.92,
"learning_rate": 0.00016449948488669639,
"loss": 1.5298,
"step": 77
},
{
"epoch": 0.93,
"learning_rate": 0.00016350202663875386,
"loss": 1.5696,
"step": 78
},
{
"epoch": 0.94,
"learning_rate": 0.00016249386674680184,
"loss": 1.1743,
"step": 79
},
{
"epoch": 0.95,
"learning_rate": 0.0001614751751104301,
"loss": 1.8626,
"step": 80
},
{
"epoch": 0.95,
"eval_loss": 1.6131467819213867,
"eval_runtime": 2.1907,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.456,
"step": 80
},
{
"epoch": 0.96,
"learning_rate": 0.00016044612340408466,
"loss": 1.4832,
"step": 81
},
{
"epoch": 0.98,
"learning_rate": 0.00015940688504813662,
"loss": 1.4476,
"step": 82
},
{
"epoch": 0.99,
"learning_rate": 0.00015835763517965673,
"loss": 1.3783,
"step": 83
},
{
"epoch": 1.0,
"learning_rate": 0.00015729855062290022,
"loss": 1.6671,
"step": 84
},
{
"epoch": 1.01,
"learning_rate": 0.0001562298098595078,
"loss": 1.4658,
"step": 85
},
{
"epoch": 1.01,
"eval_loss": 1.6062182188034058,
"eval_runtime": 2.1944,
"eval_samples_per_second": 0.911,
"eval_steps_per_second": 0.456,
"step": 85
},
{
"epoch": 1.02,
"learning_rate": 0.00015515159299842707,
"loss": 1.64,
"step": 86
},
{
"epoch": 1.04,
"learning_rate": 0.00015406408174555976,
"loss": 1.2125,
"step": 87
},
{
"epoch": 1.05,
"learning_rate": 0.00015296745937313987,
"loss": 1.5001,
"step": 88
},
{
"epoch": 1.06,
"learning_rate": 0.00015186191068884775,
"loss": 1.4294,
"step": 89
},
{
"epoch": 1.07,
"learning_rate": 0.00015074762200466556,
"loss": 1.3162,
"step": 90
},
{
"epoch": 1.07,
"eval_loss": 1.5980761051177979,
"eval_runtime": 2.191,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.456,
"step": 90
},
{
"epoch": 1.08,
"learning_rate": 0.00014962478110547918,
"loss": 1.3707,
"step": 91
},
{
"epoch": 1.1,
"learning_rate": 0.00014849357721743168,
"loss": 1.4644,
"step": 92
},
{
"epoch": 1.11,
"learning_rate": 0.0001473542009760343,
"loss": 1.427,
"step": 93
},
{
"epoch": 1.12,
"learning_rate": 0.00014620684439403962,
"loss": 1.3337,
"step": 94
},
{
"epoch": 1.13,
"learning_rate": 0.0001450517008290827,
"loss": 1.4111,
"step": 95
},
{
"epoch": 1.13,
"eval_loss": 1.5972555875778198,
"eval_runtime": 2.1901,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.457,
"step": 95
},
{
"epoch": 1.14,
"learning_rate": 0.0001438889649510956,
"loss": 1.441,
"step": 96
},
{
"epoch": 1.15,
"learning_rate": 0.00014271883270950073,
"loss": 0.7424,
"step": 97
},
{
"epoch": 1.17,
"learning_rate": 0.00014154150130018866,
"loss": 1.3582,
"step": 98
},
{
"epoch": 1.18,
"learning_rate": 0.00014035716913228568,
"loss": 1.3479,
"step": 99
},
{
"epoch": 1.19,
"learning_rate": 0.00013916603579471705,
"loss": 1.2211,
"step": 100
},
{
"epoch": 1.19,
"eval_loss": 1.6037462949752808,
"eval_runtime": 2.1932,
"eval_samples_per_second": 0.912,
"eval_steps_per_second": 0.456,
"step": 100
},
{
"epoch": 1.2,
"learning_rate": 0.0001379683020225714,
"loss": 2.0387,
"step": 101
},
{
"epoch": 1.21,
"learning_rate": 0.000136764169663272,
"loss": 1.3237,
"step": 102
},
{
"epoch": 1.23,
"learning_rate": 0.00013555384164256048,
"loss": 1.4286,
"step": 103
},
{
"epoch": 1.24,
"learning_rate": 0.00013433752193029886,
"loss": 1.7905,
"step": 104
},
{
"epoch": 1.25,
"learning_rate": 0.00013311541550609565,
"loss": 1.7277,
"step": 105
},
{
"epoch": 1.25,
"eval_loss": 1.5989317893981934,
"eval_runtime": 2.1896,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.457,
"step": 105
},
{
"epoch": 1.26,
"learning_rate": 0.00013188772832476188,
"loss": 1.5016,
"step": 106
},
{
"epoch": 1.27,
"learning_rate": 0.00013065466728160252,
"loss": 1.7159,
"step": 107
},
{
"epoch": 1.29,
"learning_rate": 0.00012941644017754964,
"loss": 1.2701,
"step": 108
},
{
"epoch": 1.3,
"learning_rate": 0.00012817325568414297,
"loss": 1.4085,
"step": 109
},
{
"epoch": 1.31,
"learning_rate": 0.00012692532330836346,
"loss": 1.246,
"step": 110
},
{
"epoch": 1.31,
"eval_loss": 1.597010850906372,
"eval_runtime": 2.1881,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 110
},
{
"epoch": 1.32,
"learning_rate": 0.00012567285335732633,
"loss": 1.3382,
"step": 111
},
{
"epoch": 1.33,
"learning_rate": 0.00012441605690283915,
"loss": 0.9305,
"step": 112
},
{
"epoch": 1.35,
"learning_rate": 0.00012315514574583113,
"loss": 1.388,
"step": 113
},
{
"epoch": 1.36,
"learning_rate": 0.0001218903323806595,
"loss": 1.2634,
"step": 114
},
{
"epoch": 1.37,
"learning_rate": 0.00012062182995929882,
"loss": 1.1971,
"step": 115
},
{
"epoch": 1.37,
"eval_loss": 1.5930073261260986,
"eval_runtime": 2.1881,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 115
},
{
"epoch": 1.38,
"learning_rate": 0.00011934985225541998,
"loss": 1.2645,
"step": 116
},
{
"epoch": 1.39,
"learning_rate": 0.0001180746136283638,
"loss": 1.6775,
"step": 117
},
{
"epoch": 1.4,
"learning_rate": 0.00011679632898701649,
"loss": 1.018,
"step": 118
},
{
"epoch": 1.42,
"learning_rate": 0.00011551521375359206,
"loss": 1.225,
"step": 119
},
{
"epoch": 1.43,
"learning_rate": 0.00011423148382732853,
"loss": 1.166,
"step": 120
},
{
"epoch": 1.43,
"eval_loss": 1.593321681022644,
"eval_runtime": 2.1858,
"eval_samples_per_second": 0.915,
"eval_steps_per_second": 0.457,
"step": 120
},
{
"epoch": 1.44,
"learning_rate": 0.00011294535554810354,
"loss": 1.7995,
"step": 121
},
{
"epoch": 1.45,
"learning_rate": 0.00011165704565997593,
"loss": 0.7254,
"step": 122
},
{
"epoch": 1.46,
"learning_rate": 0.00011036677127465889,
"loss": 1.4558,
"step": 123
},
{
"epoch": 1.48,
"learning_rate": 0.00010907474983493144,
"loss": 1.5358,
"step": 124
},
{
"epoch": 1.49,
"learning_rate": 0.00010778119907799398,
"loss": 1.5007,
"step": 125
},
{
"epoch": 1.49,
"eval_loss": 1.5938643217086792,
"eval_runtime": 2.189,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 125
},
{
"epoch": 1.5,
"learning_rate": 0.0001064863369987743,
"loss": 1.6357,
"step": 126
},
{
"epoch": 1.51,
"learning_rate": 0.00010519038181318999,
"loss": 1.7524,
"step": 127
},
{
"epoch": 1.52,
"learning_rate": 0.00010389355192137377,
"loss": 1.6955,
"step": 128
},
{
"epoch": 1.54,
"learning_rate": 0.00010259606587086783,
"loss": 1.4174,
"step": 129
},
{
"epoch": 1.55,
"learning_rate": 0.0001012981423197931,
"loss": 1.2135,
"step": 130
},
{
"epoch": 1.55,
"eval_loss": 1.5910111665725708,
"eval_runtime": 2.1873,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 130
},
{
"epoch": 1.56,
"learning_rate": 0.0001,
"loss": 1.0919,
"step": 131
},
{
"epoch": 1.57,
"learning_rate": 9.870185768020693e-05,
"loss": 1.4658,
"step": 132
},
{
"epoch": 1.58,
"learning_rate": 9.740393412913219e-05,
"loss": 1.1472,
"step": 133
},
{
"epoch": 1.6,
"learning_rate": 9.610644807862625e-05,
"loss": 1.2626,
"step": 134
},
{
"epoch": 1.61,
"learning_rate": 9.480961818681004e-05,
"loss": 1.3915,
"step": 135
},
{
"epoch": 1.61,
"eval_loss": 1.5905121564865112,
"eval_runtime": 2.1919,
"eval_samples_per_second": 0.912,
"eval_steps_per_second": 0.456,
"step": 135
},
{
"epoch": 1.62,
"learning_rate": 9.35136630012257e-05,
"loss": 1.8036,
"step": 136
},
{
"epoch": 1.63,
"learning_rate": 9.221880092200601e-05,
"loss": 1.1988,
"step": 137
},
{
"epoch": 1.64,
"learning_rate": 9.092525016506858e-05,
"loss": 1.1454,
"step": 138
},
{
"epoch": 1.65,
"learning_rate": 8.963322872534114e-05,
"loss": 1.3185,
"step": 139
},
{
"epoch": 1.67,
"learning_rate": 8.83429543400241e-05,
"loss": 1.6912,
"step": 140
},
{
"epoch": 1.67,
"eval_loss": 1.5902668237686157,
"eval_runtime": 2.1897,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.457,
"step": 140
},
{
"epoch": 1.68,
"learning_rate": 8.705464445189647e-05,
"loss": 1.6251,
"step": 141
},
{
"epoch": 1.69,
"learning_rate": 8.57685161726715e-05,
"loss": 1.4459,
"step": 142
},
{
"epoch": 1.7,
"learning_rate": 8.448478624640797e-05,
"loss": 1.3483,
"step": 143
},
{
"epoch": 1.71,
"learning_rate": 8.320367101298351e-05,
"loss": 1.7937,
"step": 144
},
{
"epoch": 1.73,
"learning_rate": 8.192538637163621e-05,
"loss": 1.6808,
"step": 145
},
{
"epoch": 1.73,
"eval_loss": 1.587677240371704,
"eval_runtime": 2.1912,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.456,
"step": 145
},
{
"epoch": 1.74,
"learning_rate": 8.065014774458003e-05,
"loss": 1.453,
"step": 146
},
{
"epoch": 1.75,
"learning_rate": 7.93781700407012e-05,
"loss": 1.3279,
"step": 147
},
{
"epoch": 1.76,
"learning_rate": 7.810966761934053e-05,
"loss": 1.6721,
"step": 148
},
{
"epoch": 1.77,
"learning_rate": 7.684485425416888e-05,
"loss": 1.1307,
"step": 149
},
{
"epoch": 1.79,
"learning_rate": 7.558394309716088e-05,
"loss": 1.249,
"step": 150
},
{
"epoch": 1.79,
"eval_loss": 1.5859589576721191,
"eval_runtime": 2.1868,
"eval_samples_per_second": 0.915,
"eval_steps_per_second": 0.457,
"step": 150
},
{
"epoch": 1.8,
"learning_rate": 7.432714664267373e-05,
"loss": 1.1872,
"step": 151
},
{
"epoch": 1.81,
"learning_rate": 7.307467669163655e-05,
"loss": 1.4116,
"step": 152
},
{
"epoch": 1.82,
"learning_rate": 7.182674431585704e-05,
"loss": 1.2309,
"step": 153
},
{
"epoch": 1.83,
"learning_rate": 7.058355982245037e-05,
"loss": 1.3953,
"step": 154
},
{
"epoch": 1.85,
"learning_rate": 6.934533271839752e-05,
"loss": 1.43,
"step": 155
},
{
"epoch": 1.85,
"eval_loss": 1.5868343114852905,
"eval_runtime": 2.1915,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.456,
"step": 155
},
{
"epoch": 1.86,
"learning_rate": 6.811227167523815e-05,
"loss": 1.9049,
"step": 156
},
{
"epoch": 1.87,
"learning_rate": 6.688458449390437e-05,
"loss": 0.8853,
"step": 157
},
{
"epoch": 1.88,
"learning_rate": 6.566247806970119e-05,
"loss": 1.6253,
"step": 158
},
{
"epoch": 1.89,
"learning_rate": 6.444615835743955e-05,
"loss": 1.3031,
"step": 159
},
{
"epoch": 1.9,
"learning_rate": 6.323583033672799e-05,
"loss": 0.8793,
"step": 160
},
{
"epoch": 1.9,
"eval_loss": 1.5895787477493286,
"eval_runtime": 2.1923,
"eval_samples_per_second": 0.912,
"eval_steps_per_second": 0.456,
"step": 160
},
{
"epoch": 1.92,
"learning_rate": 6.203169797742861e-05,
"loss": 1.3793,
"step": 161
},
{
"epoch": 1.93,
"learning_rate": 6.083396420528298e-05,
"loss": 1.5299,
"step": 162
},
{
"epoch": 1.94,
"learning_rate": 5.964283086771435e-05,
"loss": 1.3525,
"step": 163
},
{
"epoch": 1.95,
"learning_rate": 5.845849869981137e-05,
"loss": 1.4941,
"step": 164
},
{
"epoch": 1.96,
"learning_rate": 5.728116729049928e-05,
"loss": 1.1564,
"step": 165
},
{
"epoch": 1.96,
"eval_loss": 1.5867228507995605,
"eval_runtime": 2.1914,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.456,
"step": 165
},
{
"epoch": 1.98,
"learning_rate": 5.611103504890444e-05,
"loss": 1.5568,
"step": 166
},
{
"epoch": 1.99,
"learning_rate": 5.4948299170917325e-05,
"loss": 1.2441,
"step": 167
},
{
"epoch": 2.0,
"learning_rate": 5.379315560596038e-05,
"loss": 0.9717,
"step": 168
},
{
"epoch": 2.01,
"learning_rate": 5.26457990239657e-05,
"loss": 1.5905,
"step": 169
},
{
"epoch": 2.02,
"learning_rate": 5.1506422782568345e-05,
"loss": 1.4259,
"step": 170
},
{
"epoch": 2.02,
"eval_loss": 1.5872297286987305,
"eval_runtime": 2.1903,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.457,
"step": 170
},
{
"epoch": 2.04,
"learning_rate": 5.0375218894520834e-05,
"loss": 1.4877,
"step": 171
},
{
"epoch": 2.05,
"learning_rate": 4.9252377995334444e-05,
"loss": 1.4578,
"step": 172
},
{
"epoch": 2.06,
"learning_rate": 4.813808931115228e-05,
"loss": 1.0967,
"step": 173
},
{
"epoch": 2.07,
"learning_rate": 4.703254062686017e-05,
"loss": 1.3642,
"step": 174
},
{
"epoch": 2.08,
"learning_rate": 4.593591825444028e-05,
"loss": 1.4059,
"step": 175
},
{
"epoch": 2.08,
"eval_loss": 1.5853421688079834,
"eval_runtime": 2.1875,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 175
},
{
"epoch": 2.1,
"learning_rate": 4.484840700157295e-05,
"loss": 1.3578,
"step": 176
},
{
"epoch": 2.11,
"learning_rate": 4.377019014049223e-05,
"loss": 1.178,
"step": 177
},
{
"epoch": 2.12,
"learning_rate": 4.270144937709981e-05,
"loss": 1.6276,
"step": 178
},
{
"epoch": 2.13,
"learning_rate": 4.164236482034327e-05,
"loss": 1.5173,
"step": 179
},
{
"epoch": 2.14,
"learning_rate": 4.059311495186338e-05,
"loss": 1.3487,
"step": 180
},
{
"epoch": 2.14,
"eval_loss": 1.5867466926574707,
"eval_runtime": 2.1894,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.457,
"step": 180
},
{
"epoch": 2.15,
"learning_rate": 3.9553876595915375e-05,
"loss": 1.0898,
"step": 181
},
{
"epoch": 2.17,
"learning_rate": 3.852482488956992e-05,
"loss": 0.8375,
"step": 182
},
{
"epoch": 2.18,
"learning_rate": 3.750613325319817e-05,
"loss": 1.1532,
"step": 183
},
{
"epoch": 2.19,
"learning_rate": 3.649797336124615e-05,
"loss": 1.603,
"step": 184
},
{
"epoch": 2.2,
"learning_rate": 3.550051511330361e-05,
"loss": 1.7306,
"step": 185
},
{
"epoch": 2.2,
"eval_loss": 1.5883917808532715,
"eval_runtime": 2.189,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 185
},
{
"epoch": 2.21,
"learning_rate": 3.45139266054715e-05,
"loss": 1.4042,
"step": 186
},
{
"epoch": 2.23,
"learning_rate": 3.3538374102033866e-05,
"loss": 1.1013,
"step": 187
},
{
"epoch": 2.24,
"learning_rate": 3.257402200743821e-05,
"loss": 1.1465,
"step": 188
},
{
"epoch": 2.25,
"learning_rate": 3.1621032838589305e-05,
"loss": 1.7603,
"step": 189
},
{
"epoch": 2.26,
"learning_rate": 3.0679567197461134e-05,
"loss": 1.6117,
"step": 190
},
{
"epoch": 2.26,
"eval_loss": 1.5858465433120728,
"eval_runtime": 2.1875,
"eval_samples_per_second": 0.914,
"eval_steps_per_second": 0.457,
"step": 190
},
{
"epoch": 2.27,
"learning_rate": 2.974978374403147e-05,
"loss": 1.4448,
"step": 191
},
{
"epoch": 2.29,
"learning_rate": 2.8831839169543996e-05,
"loss": 1.2446,
"step": 192
},
{
"epoch": 2.3,
"learning_rate": 2.7925888170101665e-05,
"loss": 1.2843,
"step": 193
},
{
"epoch": 2.31,
"learning_rate": 2.7032083420597e-05,
"loss": 0.9528,
"step": 194
},
{
"epoch": 2.32,
"learning_rate": 2.6150575548982292e-05,
"loss": 1.1751,
"step": 195
},
{
"epoch": 2.32,
"eval_loss": 1.5852700471878052,
"eval_runtime": 2.1934,
"eval_samples_per_second": 0.912,
"eval_steps_per_second": 0.456,
"step": 195
},
{
"epoch": 2.33,
"learning_rate": 2.528151311088537e-05,
"loss": 1.2334,
"step": 196
},
{
"epoch": 2.35,
"learning_rate": 2.4425042564574184e-05,
"loss": 1.4127,
"step": 197
},
{
"epoch": 2.36,
"learning_rate": 2.3581308246275103e-05,
"loss": 1.1989,
"step": 198
},
{
"epoch": 2.37,
"learning_rate": 2.2750452345848682e-05,
"loss": 1.0506,
"step": 199
},
{
"epoch": 2.38,
"learning_rate": 2.1932614882827197e-05,
"loss": 1.5642,
"step": 200
},
{
"epoch": 2.38,
"eval_loss": 1.5846655368804932,
"eval_runtime": 2.1905,
"eval_samples_per_second": 0.913,
"eval_steps_per_second": 0.457,
"step": 200
}
],
"max_steps": 252,
"num_train_epochs": 3,
"total_flos": 1.0096652091466526e+17,
"trial_name": null,
"trial_params": null
}