wangrongsheng's picture
add v5
5944a68
raw
history blame
11.3 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.210857354276681,
"eval_steps": 500,
"global_step": 9000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.9997567688496474e-05,
"loss": 2.8699,
"step": 100
},
{
"epoch": 0.03,
"learning_rate": 4.9990172715142793e-05,
"loss": 0.0389,
"step": 200
},
{
"epoch": 0.04,
"learning_rate": 4.997781629993153e-05,
"loss": 0.0301,
"step": 300
},
{
"epoch": 0.05,
"learning_rate": 4.9960500896052476e-05,
"loss": 0.0244,
"step": 400
},
{
"epoch": 0.07,
"learning_rate": 4.993822994123172e-05,
"loss": 0.0151,
"step": 500
},
{
"epoch": 0.08,
"learning_rate": 4.9911007857049264e-05,
"loss": 0.012,
"step": 600
},
{
"epoch": 0.09,
"learning_rate": 4.987884004806111e-05,
"loss": 0.0268,
"step": 700
},
{
"epoch": 0.11,
"learning_rate": 4.984173290072626e-05,
"loss": 0.0187,
"step": 800
},
{
"epoch": 0.12,
"learning_rate": 4.979969378213884e-05,
"loss": 0.0166,
"step": 900
},
{
"epoch": 0.13,
"learning_rate": 4.975273103856537e-05,
"loss": 0.022,
"step": 1000
},
{
"epoch": 0.15,
"learning_rate": 4.970085399378785e-05,
"loss": 0.0194,
"step": 1100
},
{
"epoch": 0.16,
"learning_rate": 4.964407294725254e-05,
"loss": 0.0182,
"step": 1200
},
{
"epoch": 0.17,
"learning_rate": 4.958239917202523e-05,
"loss": 0.0204,
"step": 1300
},
{
"epoch": 0.19,
"learning_rate": 4.9515844912553106e-05,
"loss": 0.013,
"step": 1400
},
{
"epoch": 0.2,
"learning_rate": 4.944442338223378e-05,
"loss": 0.0107,
"step": 1500
},
{
"epoch": 0.22,
"learning_rate": 4.9368148760792e-05,
"loss": 0.0156,
"step": 1600
},
{
"epoch": 0.23,
"learning_rate": 4.9287036191464414e-05,
"loss": 0.0141,
"step": 1700
},
{
"epoch": 0.24,
"learning_rate": 4.9201101777993116e-05,
"loss": 0.0104,
"step": 1800
},
{
"epoch": 0.26,
"learning_rate": 4.911036258142853e-05,
"loss": 0.0087,
"step": 1900
},
{
"epoch": 0.27,
"learning_rate": 4.9014836616742065e-05,
"loss": 0.013,
"step": 2000
},
{
"epoch": 0.28,
"learning_rate": 4.891454284924965e-05,
"loss": 0.0194,
"step": 2100
},
{
"epoch": 0.3,
"learning_rate": 4.8809501190846284e-05,
"loss": 0.0131,
"step": 2200
},
{
"epoch": 0.31,
"learning_rate": 4.8699732496052965e-05,
"loss": 0.0135,
"step": 2300
},
{
"epoch": 0.32,
"learning_rate": 4.858525855787619e-05,
"loss": 0.0106,
"step": 2400
},
{
"epoch": 0.34,
"learning_rate": 4.846610210348137e-05,
"loss": 0.0089,
"step": 2500
},
{
"epoch": 0.35,
"learning_rate": 4.8342286789680605e-05,
"loss": 0.0086,
"step": 2600
},
{
"epoch": 0.36,
"learning_rate": 4.8213837198235996e-05,
"loss": 0.0035,
"step": 2700
},
{
"epoch": 0.38,
"learning_rate": 4.8080778830979276e-05,
"loss": 0.0121,
"step": 2800
},
{
"epoch": 0.39,
"learning_rate": 4.794313810474878e-05,
"loss": 0.0146,
"step": 2900
},
{
"epoch": 0.4,
"learning_rate": 4.780094234614479e-05,
"loss": 0.0047,
"step": 3000
},
{
"epoch": 0.42,
"learning_rate": 4.765421978610418e-05,
"loss": 0.0096,
"step": 3100
},
{
"epoch": 0.43,
"learning_rate": 4.750299955429562e-05,
"loss": 0.0116,
"step": 3200
},
{
"epoch": 0.44,
"learning_rate": 4.734731167333625e-05,
"loss": 0.0192,
"step": 3300
},
{
"epoch": 0.46,
"learning_rate": 4.718718705283113e-05,
"loss": 0.0111,
"step": 3400
},
{
"epoch": 0.47,
"learning_rate": 4.702265748323661e-05,
"loss": 0.0114,
"step": 3500
},
{
"epoch": 0.48,
"learning_rate": 4.685375562954876e-05,
"loss": 0.0113,
"step": 3600
},
{
"epoch": 0.5,
"learning_rate": 4.668051502481818e-05,
"loss": 0.0097,
"step": 3700
},
{
"epoch": 0.51,
"learning_rate": 4.650297006349257e-05,
"loss": 0.0094,
"step": 3800
},
{
"epoch": 0.52,
"learning_rate": 4.63211559945881e-05,
"loss": 0.0059,
"step": 3900
},
{
"epoch": 0.54,
"learning_rate": 4.613699021830524e-05,
"loss": 0.0195,
"step": 4000
},
{
"epoch": 0.55,
"learning_rate": 4.59467888395669e-05,
"loss": 0.0088,
"step": 4100
},
{
"epoch": 0.57,
"learning_rate": 4.575242877508777e-05,
"loss": 0.0087,
"step": 4200
},
{
"epoch": 0.58,
"learning_rate": 4.5553948612282607e-05,
"loss": 0.0088,
"step": 4300
},
{
"epoch": 0.59,
"learning_rate": 4.5351387756552846e-05,
"loss": 0.0122,
"step": 4400
},
{
"epoch": 0.61,
"learning_rate": 4.51447864234632e-05,
"loss": 0.0081,
"step": 4500
},
{
"epoch": 0.62,
"learning_rate": 4.4934185630757484e-05,
"loss": 0.0079,
"step": 4600
},
{
"epoch": 0.63,
"learning_rate": 4.4719627190215064e-05,
"loss": 0.011,
"step": 4700
},
{
"epoch": 0.65,
"learning_rate": 4.450115369934976e-05,
"loss": 0.0146,
"step": 4800
},
{
"epoch": 0.66,
"learning_rate": 4.427880853295274e-05,
"loss": 0.0057,
"step": 4900
},
{
"epoch": 0.67,
"learning_rate": 4.4052635834481025e-05,
"loss": 0.0051,
"step": 5000
},
{
"epoch": 0.69,
"learning_rate": 4.3822680507293455e-05,
"loss": 0.006,
"step": 5100
},
{
"epoch": 0.7,
"learning_rate": 4.358898820573581e-05,
"loss": 0.0127,
"step": 5200
},
{
"epoch": 0.71,
"learning_rate": 4.3351605326076724e-05,
"loss": 0.0062,
"step": 5300
},
{
"epoch": 0.73,
"learning_rate": 4.3110578997296416e-05,
"loss": 0.0157,
"step": 5400
},
{
"epoch": 0.74,
"learning_rate": 4.286595707172986e-05,
"loss": 0.0111,
"step": 5500
},
{
"epoch": 0.75,
"learning_rate": 4.261778811556646e-05,
"loss": 0.0141,
"step": 5600
},
{
"epoch": 0.77,
"learning_rate": 4.236612139920786e-05,
"loss": 0.0093,
"step": 5700
},
{
"epoch": 0.78,
"learning_rate": 4.2111006887486035e-05,
"loss": 0.0091,
"step": 5800
},
{
"epoch": 0.79,
"learning_rate": 4.185249522974346e-05,
"loss": 0.0043,
"step": 5900
},
{
"epoch": 0.81,
"learning_rate": 4.159063774977748e-05,
"loss": 0.0072,
"step": 6000
},
{
"epoch": 0.82,
"learning_rate": 4.1325486435650625e-05,
"loss": 0.0063,
"step": 6100
},
{
"epoch": 0.83,
"learning_rate": 4.105709392936914e-05,
"loss": 0.005,
"step": 6200
},
{
"epoch": 0.85,
"learning_rate": 4.0785513516431705e-05,
"loss": 0.0167,
"step": 6300
},
{
"epoch": 0.86,
"learning_rate": 4.051079911525031e-05,
"loss": 0.0068,
"step": 6400
},
{
"epoch": 0.87,
"learning_rate": 4.023300526644557e-05,
"loss": 0.0076,
"step": 6500
},
{
"epoch": 0.89,
"learning_rate": 3.9952187122018435e-05,
"loss": 0.0123,
"step": 6600
},
{
"epoch": 0.9,
"learning_rate": 3.966840043440054e-05,
"loss": 0.0074,
"step": 6700
},
{
"epoch": 0.91,
"learning_rate": 3.9381701545385384e-05,
"loss": 0.0045,
"step": 6800
},
{
"epoch": 0.93,
"learning_rate": 3.9092147374942454e-05,
"loss": 0.0141,
"step": 6900
},
{
"epoch": 0.94,
"learning_rate": 3.87997954099166e-05,
"loss": 0.0036,
"step": 7000
},
{
"epoch": 0.96,
"learning_rate": 3.8504703692614795e-05,
"loss": 0.0077,
"step": 7100
},
{
"epoch": 0.97,
"learning_rate": 3.820693080928271e-05,
"loss": 0.0063,
"step": 7200
},
{
"epoch": 0.98,
"learning_rate": 3.790653587847325e-05,
"loss": 0.0078,
"step": 7300
},
{
"epoch": 1.0,
"learning_rate": 3.760357853930936e-05,
"loss": 0.004,
"step": 7400
},
{
"epoch": 1.01,
"learning_rate": 3.72981189396436e-05,
"loss": 0.003,
"step": 7500
},
{
"epoch": 1.02,
"learning_rate": 3.699021772411661e-05,
"loss": 0.0064,
"step": 7600
},
{
"epoch": 1.04,
"learning_rate": 3.667993602211695e-05,
"loss": 0.0047,
"step": 7700
},
{
"epoch": 1.05,
"learning_rate": 3.636733543564481e-05,
"loss": 0.0031,
"step": 7800
},
{
"epoch": 1.06,
"learning_rate": 3.605247802708175e-05,
"loss": 0.0015,
"step": 7900
},
{
"epoch": 1.08,
"learning_rate": 3.5735426306869135e-05,
"loss": 0.0103,
"step": 8000
},
{
"epoch": 1.09,
"learning_rate": 3.5416243221097553e-05,
"loss": 0.0062,
"step": 8100
},
{
"epoch": 1.1,
"learning_rate": 3.509499213900977e-05,
"loss": 0.0046,
"step": 8200
},
{
"epoch": 1.12,
"learning_rate": 3.477497910387336e-05,
"loss": 0.0082,
"step": 8300
},
{
"epoch": 1.13,
"learning_rate": 3.44498028479363e-05,
"loss": 0.0065,
"step": 8400
},
{
"epoch": 1.14,
"learning_rate": 3.412275046861546e-05,
"loss": 0.0025,
"step": 8500
},
{
"epoch": 1.16,
"learning_rate": 3.379388689748946e-05,
"loss": 0.0047,
"step": 8600
},
{
"epoch": 1.17,
"learning_rate": 3.346327742572318e-05,
"loss": 0.0028,
"step": 8700
},
{
"epoch": 1.18,
"learning_rate": 3.3130987691105155e-05,
"loss": 0.0037,
"step": 8800
},
{
"epoch": 1.2,
"learning_rate": 3.279708366501608e-05,
"loss": 0.0067,
"step": 8900
},
{
"epoch": 1.21,
"learning_rate": 3.246163163933119e-05,
"loss": 0.0045,
"step": 9000
}
],
"logging_steps": 100,
"max_steps": 22296,
"num_train_epochs": 3,
"save_steps": 3000,
"total_flos": 1.4499424716447744e+18,
"trial_name": null,
"trial_params": null
}