tuanio's picture
End of training
9c7738e
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 100.0,
"eval_steps": 100,
"global_step": 10600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.94,
"learning_rate": 1.3773584905660377e-06,
"loss": 127.5473,
"step": 100
},
{
"epoch": 1.89,
"learning_rate": 3.2641509433962264e-06,
"loss": 93.1935,
"step": 200
},
{
"epoch": 2.83,
"learning_rate": 5.150943396226416e-06,
"loss": 46.8948,
"step": 300
},
{
"epoch": 3.77,
"learning_rate": 7.037735849056604e-06,
"loss": 29.0448,
"step": 400
},
{
"epoch": 4.72,
"learning_rate": 8.924528301886793e-06,
"loss": 21.3695,
"step": 500
},
{
"epoch": 5.66,
"learning_rate": 1.0811320754716984e-05,
"loss": 16.0309,
"step": 600
},
{
"epoch": 6.6,
"learning_rate": 1.2698113207547172e-05,
"loss": 11.634,
"step": 700
},
{
"epoch": 7.55,
"learning_rate": 1.458490566037736e-05,
"loss": 8.507,
"step": 800
},
{
"epoch": 8.49,
"learning_rate": 1.6471698113207547e-05,
"loss": 6.5544,
"step": 900
},
{
"epoch": 9.43,
"learning_rate": 1.8358490566037736e-05,
"loss": 5.4801,
"step": 1000
},
{
"epoch": 10.38,
"learning_rate": 1.9999908365494266e-05,
"loss": 4.8409,
"step": 1100
},
{
"epoch": 11.32,
"learning_rate": 1.999307723208382e-05,
"loss": 4.5821,
"step": 1200
},
{
"epoch": 12.26,
"learning_rate": 1.9975410248472147e-05,
"loss": 4.4581,
"step": 1300
},
{
"epoch": 13.21,
"learning_rate": 1.9946926571599945e-05,
"loss": 4.4058,
"step": 1400
},
{
"epoch": 14.15,
"learning_rate": 1.9907657087334364e-05,
"loss": 4.3872,
"step": 1500
},
{
"epoch": 15.09,
"learning_rate": 1.9857644376978347e-05,
"loss": 4.3754,
"step": 1600
},
{
"epoch": 16.04,
"learning_rate": 1.9796942671098212e-05,
"loss": 4.3666,
"step": 1700
},
{
"epoch": 16.98,
"learning_rate": 1.9725617790719523e-05,
"loss": 4.3582,
"step": 1800
},
{
"epoch": 17.92,
"learning_rate": 1.9643747075954974e-05,
"loss": 4.3503,
"step": 1900
},
{
"epoch": 18.87,
"learning_rate": 1.9551419302141784e-05,
"loss": 4.3376,
"step": 2000
},
{
"epoch": 19.81,
"learning_rate": 1.9448734583579404e-05,
"loss": 4.3143,
"step": 2100
},
{
"epoch": 20.75,
"learning_rate": 1.9335804264972018e-05,
"loss": 4.3017,
"step": 2200
},
{
"epoch": 21.7,
"learning_rate": 1.9212750800693506e-05,
"loss": 4.2686,
"step": 2300
},
{
"epoch": 22.64,
"learning_rate": 1.90797076220058e-05,
"loss": 4.2361,
"step": 2400
},
{
"epoch": 23.58,
"learning_rate": 1.8936818992374606e-05,
"loss": 4.1892,
"step": 2500
},
{
"epoch": 24.53,
"learning_rate": 1.8784239851039375e-05,
"loss": 4.0793,
"step": 2600
},
{
"epoch": 25.47,
"learning_rate": 1.8622135645007168e-05,
"loss": 3.8419,
"step": 2700
},
{
"epoch": 26.42,
"learning_rate": 1.845068214965255e-05,
"loss": 3.507,
"step": 2800
},
{
"epoch": 27.36,
"learning_rate": 1.8270065278118092e-05,
"loss": 3.0923,
"step": 2900
},
{
"epoch": 28.3,
"learning_rate": 1.8080480879722103e-05,
"loss": 2.5866,
"step": 3000
},
{
"epoch": 29.25,
"learning_rate": 1.7882134527592244e-05,
"loss": 2.2309,
"step": 3100
},
{
"epoch": 30.19,
"learning_rate": 1.7677351806066863e-05,
"loss": 1.9554,
"step": 3200
},
{
"epoch": 31.13,
"learning_rate": 1.7466600884087986e-05,
"loss": 1.7519,
"step": 3300
},
{
"epoch": 32.08,
"learning_rate": 1.7243535137637227e-05,
"loss": 1.5826,
"step": 3400
},
{
"epoch": 33.02,
"learning_rate": 1.7012614967583424e-05,
"loss": 1.4243,
"step": 3500
},
{
"epoch": 33.96,
"learning_rate": 1.6774090768906323e-05,
"loss": 1.3115,
"step": 3600
},
{
"epoch": 34.91,
"learning_rate": 1.6528221181905217e-05,
"loss": 1.2043,
"step": 3700
},
{
"epoch": 35.85,
"learning_rate": 1.6275272811746063e-05,
"loss": 1.131,
"step": 3800
},
{
"epoch": 36.79,
"learning_rate": 1.6018150231520486e-05,
"loss": 1.0536,
"step": 3900
},
{
"epoch": 37.74,
"learning_rate": 1.575193832697346e-05,
"loss": 0.9722,
"step": 4000
},
{
"epoch": 38.68,
"learning_rate": 1.5479489390466186e-05,
"loss": 0.932,
"step": 4100
},
{
"epoch": 39.62,
"learning_rate": 1.520109884810164e-05,
"loss": 0.8723,
"step": 4200
},
{
"epoch": 40.57,
"learning_rate": 1.4917068568678037e-05,
"loss": 0.8349,
"step": 4300
},
{
"epoch": 41.51,
"learning_rate": 1.4627706536361717e-05,
"loss": 0.8096,
"step": 4400
},
{
"epoch": 42.45,
"learning_rate": 1.4333326516728909e-05,
"loss": 0.8033,
"step": 4500
},
{
"epoch": 43.4,
"learning_rate": 1.4034247716538545e-05,
"loss": 0.757,
"step": 4600
},
{
"epoch": 44.34,
"learning_rate": 1.373079443760497e-05,
"loss": 0.7242,
"step": 4700
},
{
"epoch": 45.28,
"learning_rate": 1.3423295725145908e-05,
"loss": 0.6985,
"step": 4800
},
{
"epoch": 46.23,
"learning_rate": 1.3115214387653711e-05,
"loss": 0.6804,
"step": 4900
},
{
"epoch": 47.17,
"learning_rate": 1.2800661191392916e-05,
"loss": 0.6658,
"step": 5000
},
{
"epoch": 48.11,
"learning_rate": 1.2483071138273168e-05,
"loss": 0.6392,
"step": 5100
},
{
"epoch": 49.06,
"learning_rate": 1.2162788602520851e-05,
"loss": 0.6237,
"step": 5200
},
{
"epoch": 50.0,
"learning_rate": 1.1840160877917335e-05,
"loss": 0.5931,
"step": 5300
},
{
"epoch": 50.94,
"learning_rate": 1.1515537801215944e-05,
"loss": 0.5826,
"step": 5400
},
{
"epoch": 51.89,
"learning_rate": 1.1189271372801474e-05,
"loss": 0.5833,
"step": 5500
},
{
"epoch": 52.83,
"learning_rate": 1.0861715375003623e-05,
"loss": 0.5603,
"step": 5600
},
{
"epoch": 53.77,
"learning_rate": 1.0533224988478176e-05,
"loss": 0.564,
"step": 5700
},
{
"epoch": 54.72,
"learning_rate": 1.0204156407071964e-05,
"loss": 0.5516,
"step": 5800
},
{
"epoch": 55.66,
"learning_rate": 9.874866451589151e-06,
"loss": 0.5528,
"step": 5900
},
{
"epoch": 56.6,
"learning_rate": 9.549001881675188e-06,
"loss": 0.5396,
"step": 6000
},
{
"epoch": 57.55,
"learning_rate": 9.22033352215851e-06,
"loss": 0.5292,
"step": 6100
},
{
"epoch": 58.49,
"learning_rate": 8.892510582822682e-06,
"loss": 0.5093,
"step": 6200
},
{
"epoch": 59.43,
"learning_rate": 8.565888533777731e-06,
"loss": 0.5153,
"step": 6300
},
{
"epoch": 60.38,
"learning_rate": 8.240821542965487e-06,
"loss": 0.4972,
"step": 6400
},
{
"epoch": 61.32,
"learning_rate": 7.917662092122658e-06,
"loss": 0.4761,
"step": 6500
},
{
"epoch": 62.26,
"learning_rate": 7.5967605945723e-06,
"loss": 0.4784,
"step": 6600
},
{
"epoch": 63.21,
"learning_rate": 7.278465015258145e-06,
"loss": 0.4546,
"step": 6700
},
{
"epoch": 64.15,
"learning_rate": 6.963120493433808e-06,
"loss": 0.4692,
"step": 6800
},
{
"epoch": 65.09,
"learning_rate": 6.65106896841597e-06,
"loss": 0.4569,
"step": 6900
},
{
"epoch": 66.04,
"learning_rate": 6.342648808807368e-06,
"loss": 0.465,
"step": 7000
},
{
"epoch": 66.98,
"learning_rate": 6.038194445591676e-06,
"loss": 0.4592,
"step": 7100
},
{
"epoch": 67.92,
"learning_rate": 5.738036009498027e-06,
"loss": 0.4518,
"step": 7200
},
{
"epoch": 68.87,
"learning_rate": 5.442498973028489e-06,
"loss": 0.4557,
"step": 7300
},
{
"epoch": 69.81,
"learning_rate": 5.151903797536631e-06,
"loss": 0.4392,
"step": 7400
},
{
"epoch": 70.75,
"learning_rate": 4.866565585739835e-06,
"loss": 0.4348,
"step": 7500
},
{
"epoch": 71.7,
"learning_rate": 4.586793740042181e-06,
"loss": 0.4322,
"step": 7600
},
{
"epoch": 72.64,
"learning_rate": 4.312891627038364e-06,
"loss": 0.4285,
"step": 7700
},
{
"epoch": 73.58,
"learning_rate": 4.047802118060723e-06,
"loss": 0.4296,
"step": 7800
},
{
"epoch": 74.53,
"learning_rate": 3.7864578043142407e-06,
"loss": 0.4309,
"step": 7900
},
{
"epoch": 75.47,
"learning_rate": 3.5318510560731366e-06,
"loss": 0.4341,
"step": 8000
},
{
"epoch": 76.42,
"learning_rate": 3.284257952519031e-06,
"loss": 0.4252,
"step": 8100
},
{
"epoch": 77.36,
"learning_rate": 3.0439469676883693e-06,
"loss": 0.4232,
"step": 8200
},
{
"epoch": 78.3,
"learning_rate": 2.811178679356429e-06,
"loss": 0.42,
"step": 8300
},
{
"epoch": 79.25,
"learning_rate": 2.586205486483554e-06,
"loss": 0.4056,
"step": 8400
},
{
"epoch": 80.19,
"learning_rate": 2.369271335529936e-06,
"loss": 0.41,
"step": 8500
},
{
"epoch": 81.13,
"learning_rate": 2.160611455935786e-06,
"loss": 0.419,
"step": 8600
},
{
"epoch": 82.08,
"learning_rate": 1.9604521050536506e-06,
"loss": 0.4078,
"step": 8700
},
{
"epoch": 83.02,
"learning_rate": 1.7690103228094845e-06,
"loss": 0.4194,
"step": 8800
},
{
"epoch": 83.96,
"learning_rate": 1.5864936963585164e-06,
"loss": 0.3995,
"step": 8900
},
{
"epoch": 84.91,
"learning_rate": 1.413100134991111e-06,
"loss": 0.4128,
"step": 9000
},
{
"epoch": 85.85,
"learning_rate": 1.2490176555326306e-06,
"loss": 0.4075,
"step": 9100
},
{
"epoch": 86.79,
"learning_rate": 1.0944241784701025e-06,
"loss": 0.4075,
"step": 9200
},
{
"epoch": 87.74,
"learning_rate": 9.49487335026692e-07,
"loss": 0.4012,
"step": 9300
},
{
"epoch": 88.68,
"learning_rate": 8.143642853931688e-07,
"loss": 0.4066,
"step": 9400
},
{
"epoch": 89.62,
"learning_rate": 6.892015483135095e-07,
"loss": 0.401,
"step": 9500
},
{
"epoch": 90.57,
"learning_rate": 5.741348422094128e-07,
"loss": 0.3933,
"step": 9600
},
{
"epoch": 91.51,
"learning_rate": 4.69288938015946e-07,
"loss": 0.4163,
"step": 9700
},
{
"epoch": 92.45,
"learning_rate": 3.747775238879847e-07,
"loss": 0.3918,
"step": 9800
},
{
"epoch": 93.4,
"learning_rate": 2.907030819240908e-07,
"loss": 0.409,
"step": 9900
},
{
"epoch": 94.34,
"learning_rate": 2.1783985444653433e-07,
"loss": 0.3987,
"step": 10000
},
{
"epoch": 95.28,
"learning_rate": 1.5479499961417067e-07,
"loss": 0.395,
"step": 10100
},
{
"epoch": 96.23,
"learning_rate": 1.024256518460387e-07,
"loss": 0.4019,
"step": 10200
},
{
"epoch": 97.17,
"learning_rate": 6.078859709449215e-08,
"loss": 0.3952,
"step": 10300
},
{
"epoch": 98.11,
"learning_rate": 2.992898390362875e-08,
"loss": 0.4062,
"step": 10400
},
{
"epoch": 99.06,
"learning_rate": 9.88027445312123e-09,
"loss": 0.3926,
"step": 10500
},
{
"epoch": 100.0,
"learning_rate": 7.027047924512698e-10,
"loss": 0.4021,
"step": 10600
},
{
"epoch": 100.0,
"step": 10600,
"total_flos": 6.516030907718042e+16,
"train_loss": 4.689974609231049,
"train_runtime": 6096.2204,
"train_samples_per_second": 55.51,
"train_steps_per_second": 1.739
}
],
"logging_steps": 100,
"max_steps": 10600,
"num_train_epochs": 100,
"save_steps": 100,
"total_flos": 6.516030907718042e+16,
"trial_name": null,
"trial_params": null
}