Text Generation
Safetensors
Chinese
English
conversational
Aurora / checkpoint-15000 /trainer_state.json
wangrongsheng's picture
Upload 12 files
78e5d8b
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.7192060183087103,
"eval_steps": 500,
"global_step": 15000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 4.999549488698767e-05,
"loss": 0.9367,
"step": 100
},
{
"epoch": 0.04,
"learning_rate": 4.998198117163414e-05,
"loss": 0.8539,
"step": 200
},
{
"epoch": 0.05,
"learning_rate": 4.995946372440459e-05,
"loss": 0.8563,
"step": 300
},
{
"epoch": 0.07,
"learning_rate": 4.99279506607906e-05,
"loss": 0.8552,
"step": 400
},
{
"epoch": 0.09,
"learning_rate": 4.9887453338385195e-05,
"loss": 0.8377,
"step": 500
},
{
"epoch": 0.11,
"learning_rate": 4.98379863527895e-05,
"loss": 0.8346,
"step": 600
},
{
"epoch": 0.13,
"learning_rate": 4.9779567532352364e-05,
"loss": 0.8338,
"step": 700
},
{
"epoch": 0.15,
"learning_rate": 4.971221793174483e-05,
"loss": 0.8176,
"step": 800
},
{
"epoch": 0.16,
"learning_rate": 4.9635961824371865e-05,
"loss": 0.8297,
"step": 900
},
{
"epoch": 0.18,
"learning_rate": 4.9550826693624e-05,
"loss": 0.8337,
"step": 1000
},
{
"epoch": 0.2,
"learning_rate": 4.945684322297207e-05,
"loss": 0.8243,
"step": 1100
},
{
"epoch": 0.22,
"learning_rate": 4.935404528490858e-05,
"loss": 0.8289,
"step": 1200
},
{
"epoch": 0.24,
"learning_rate": 4.924246992873982e-05,
"loss": 0.818,
"step": 1300
},
{
"epoch": 0.25,
"learning_rate": 4.9122157367232894e-05,
"loss": 0.8361,
"step": 1400
},
{
"epoch": 0.27,
"learning_rate": 4.899315096212272e-05,
"loss": 0.8055,
"step": 1500
},
{
"epoch": 0.29,
"learning_rate": 4.8855497208484046e-05,
"loss": 0.8284,
"step": 1600
},
{
"epoch": 0.31,
"learning_rate": 4.8709245717974204e-05,
"loss": 0.8214,
"step": 1700
},
{
"epoch": 0.33,
"learning_rate": 4.8554449200952635e-05,
"loss": 0.8243,
"step": 1800
},
{
"epoch": 0.34,
"learning_rate": 4.8391163447483587e-05,
"loss": 0.8191,
"step": 1900
},
{
"epoch": 0.36,
"learning_rate": 4.821944730722887e-05,
"loss": 0.8106,
"step": 2000
},
{
"epoch": 0.38,
"learning_rate": 4.803936266823792e-05,
"loss": 0.8217,
"step": 2100
},
{
"epoch": 0.4,
"learning_rate": 4.785097443464276e-05,
"loss": 0.8071,
"step": 2200
},
{
"epoch": 0.42,
"learning_rate": 4.765435050326602e-05,
"loss": 0.8164,
"step": 2300
},
{
"epoch": 0.44,
"learning_rate": 4.744956173915022e-05,
"loss": 0.8264,
"step": 2400
},
{
"epoch": 0.45,
"learning_rate": 4.7236681950017445e-05,
"loss": 0.8183,
"step": 2500
},
{
"epoch": 0.47,
"learning_rate": 4.701578785966834e-05,
"loss": 0.8035,
"step": 2600
},
{
"epoch": 0.49,
"learning_rate": 4.678695908033017e-05,
"loss": 0.8019,
"step": 2700
},
{
"epoch": 0.51,
"learning_rate": 4.655027808396385e-05,
"loss": 0.8084,
"step": 2800
},
{
"epoch": 0.53,
"learning_rate": 4.6305830172540295e-05,
"loss": 0.8124,
"step": 2900
},
{
"epoch": 0.54,
"learning_rate": 4.6053703447296826e-05,
"loss": 0.8206,
"step": 3000
},
{
"epoch": 0.56,
"learning_rate": 4.579398877698471e-05,
"loss": 0.8137,
"step": 3100
},
{
"epoch": 0.58,
"learning_rate": 4.55267797651192e-05,
"loss": 0.803,
"step": 3200
},
{
"epoch": 0.6,
"learning_rate": 4.5252172716244e-05,
"loss": 0.8108,
"step": 3300
},
{
"epoch": 0.62,
"learning_rate": 4.4970266601222243e-05,
"loss": 0.8154,
"step": 3400
},
{
"epoch": 0.63,
"learning_rate": 4.4681163021566496e-05,
"loss": 0.7998,
"step": 3500
},
{
"epoch": 0.65,
"learning_rate": 4.4384966172820644e-05,
"loss": 0.8109,
"step": 3600
},
{
"epoch": 0.67,
"learning_rate": 4.40817828070069e-05,
"loss": 0.8102,
"step": 3700
},
{
"epoch": 0.69,
"learning_rate": 4.377172219415136e-05,
"loss": 0.8119,
"step": 3800
},
{
"epoch": 0.71,
"learning_rate": 4.345489608290216e-05,
"loss": 0.8041,
"step": 3900
},
{
"epoch": 0.73,
"learning_rate": 4.313141866025423e-05,
"loss": 0.8149,
"step": 4000
},
{
"epoch": 0.74,
"learning_rate": 4.280140651039522e-05,
"loss": 0.8043,
"step": 4100
},
{
"epoch": 0.76,
"learning_rate": 4.246497857268759e-05,
"loss": 0.7933,
"step": 4200
},
{
"epoch": 0.78,
"learning_rate": 4.2122256098801726e-05,
"loss": 0.8022,
"step": 4300
},
{
"epoch": 0.8,
"learning_rate": 4.177336260901578e-05,
"loss": 0.8083,
"step": 4400
},
{
"epoch": 0.82,
"learning_rate": 4.1418423847697786e-05,
"loss": 0.8082,
"step": 4500
},
{
"epoch": 0.83,
"learning_rate": 4.105756773798633e-05,
"loss": 0.7956,
"step": 4600
},
{
"epoch": 0.85,
"learning_rate": 4.0690924335685865e-05,
"loss": 0.8072,
"step": 4700
},
{
"epoch": 0.87,
"learning_rate": 4.031862578239338e-05,
"loss": 0.7954,
"step": 4800
},
{
"epoch": 0.89,
"learning_rate": 3.994080625787343e-05,
"loss": 0.8025,
"step": 4900
},
{
"epoch": 0.91,
"learning_rate": 3.955760193169851e-05,
"loss": 0.796,
"step": 5000
},
{
"epoch": 0.92,
"learning_rate": 3.9169150914172324e-05,
"loss": 0.7924,
"step": 5100
},
{
"epoch": 0.94,
"learning_rate": 3.8775593206553575e-05,
"loss": 0.8076,
"step": 5200
},
{
"epoch": 0.96,
"learning_rate": 3.837707065059823e-05,
"loss": 0.7929,
"step": 5300
},
{
"epoch": 0.98,
"learning_rate": 3.79737268774385e-05,
"loss": 0.7966,
"step": 5400
},
{
"epoch": 1.0,
"learning_rate": 3.756570725581684e-05,
"loss": 0.812,
"step": 5500
},
{
"epoch": 1.02,
"learning_rate": 3.71531588396938e-05,
"loss": 0.7952,
"step": 5600
},
{
"epoch": 1.03,
"learning_rate": 3.673623031524838e-05,
"loss": 0.807,
"step": 5700
},
{
"epoch": 1.05,
"learning_rate": 3.6315071947290255e-05,
"loss": 0.7919,
"step": 5800
},
{
"epoch": 1.07,
"learning_rate": 3.588983552510291e-05,
"loss": 0.8051,
"step": 5900
},
{
"epoch": 1.09,
"learning_rate": 3.546067430773747e-05,
"loss": 0.8067,
"step": 6000
},
{
"epoch": 1.11,
"learning_rate": 3.50277429687767e-05,
"loss": 0.7982,
"step": 6100
},
{
"epoch": 1.12,
"learning_rate": 3.459119754058929e-05,
"loss": 0.7965,
"step": 6200
},
{
"epoch": 1.14,
"learning_rate": 3.4151195358094365e-05,
"loss": 0.7829,
"step": 6300
},
{
"epoch": 1.16,
"learning_rate": 3.370789500205656e-05,
"loss": 0.7905,
"step": 6400
},
{
"epoch": 1.18,
"learning_rate": 3.326593563722561e-05,
"loss": 0.7904,
"step": 6500
},
{
"epoch": 1.2,
"learning_rate": 3.281654834858534e-05,
"loss": 0.7972,
"step": 6600
},
{
"epoch": 1.21,
"learning_rate": 3.236434390525093e-05,
"loss": 0.7995,
"step": 6700
},
{
"epoch": 1.23,
"learning_rate": 3.190948528579214e-05,
"loss": 0.7965,
"step": 6800
},
{
"epoch": 1.25,
"learning_rate": 3.1452136425367785e-05,
"loss": 0.7956,
"step": 6900
},
{
"epoch": 1.27,
"learning_rate": 3.099246215664205e-05,
"loss": 0.7894,
"step": 7000
},
{
"epoch": 1.29,
"learning_rate": 3.0530628150377295e-05,
"loss": 0.8024,
"step": 7100
},
{
"epoch": 1.31,
"learning_rate": 3.0066800855724798e-05,
"loss": 0.7726,
"step": 7200
},
{
"epoch": 1.32,
"learning_rate": 2.960114744023503e-05,
"loss": 0.7881,
"step": 7300
},
{
"epoch": 1.34,
"learning_rate": 2.913383572960889e-05,
"loss": 0.7993,
"step": 7400
},
{
"epoch": 1.36,
"learning_rate": 2.866503414721184e-05,
"loss": 0.8094,
"step": 7500
},
{
"epoch": 1.38,
"learning_rate": 2.8194911653372613e-05,
"loss": 0.7923,
"step": 7600
},
{
"epoch": 1.4,
"learning_rate": 2.7723637684488356e-05,
"loss": 0.8058,
"step": 7700
},
{
"epoch": 1.41,
"learning_rate": 2.725138209195824e-05,
"loss": 0.7852,
"step": 7800
},
{
"epoch": 1.43,
"learning_rate": 2.677831508096747e-05,
"loss": 0.7888,
"step": 7900
},
{
"epoch": 1.45,
"learning_rate": 2.630460714914379e-05,
"loss": 0.8021,
"step": 8000
},
{
"epoch": 1.47,
"learning_rate": 2.5830429025108627e-05,
"loss": 0.7901,
"step": 8100
},
{
"epoch": 1.49,
"learning_rate": 2.5355951606944913e-05,
"loss": 0.8147,
"step": 8200
},
{
"epoch": 1.5,
"learning_rate": 2.488134590060391e-05,
"loss": 0.7986,
"step": 8300
},
{
"epoch": 1.52,
"learning_rate": 2.441152781437193e-05,
"loss": 0.8005,
"step": 8400
},
{
"epoch": 1.54,
"learning_rate": 2.393717568838824e-05,
"loss": 0.7923,
"step": 8500
},
{
"epoch": 1.56,
"learning_rate": 2.346320661389542e-05,
"loss": 0.789,
"step": 8600
},
{
"epoch": 1.58,
"learning_rate": 2.2989791413633083e-05,
"loss": 0.7746,
"step": 8700
},
{
"epoch": 1.6,
"learning_rate": 2.2517100710719537e-05,
"loss": 0.7861,
"step": 8800
},
{
"epoch": 1.61,
"learning_rate": 2.2045304867157723e-05,
"loss": 0.7853,
"step": 8900
},
{
"epoch": 1.63,
"learning_rate": 2.157457392243513e-05,
"loss": 0.7903,
"step": 9000
},
{
"epoch": 1.65,
"learning_rate": 2.110507753224012e-05,
"loss": 0.7986,
"step": 9100
},
{
"epoch": 1.67,
"learning_rate": 2.0636984907316447e-05,
"loss": 0.7961,
"step": 9200
},
{
"epoch": 1.69,
"learning_rate": 2.017046475247813e-05,
"loss": 0.7958,
"step": 9300
},
{
"epoch": 1.7,
"learning_rate": 1.9705685205806772e-05,
"loss": 0.7866,
"step": 9400
},
{
"epoch": 1.72,
"learning_rate": 1.9242813778053085e-05,
"loss": 0.7816,
"step": 9500
},
{
"epoch": 1.74,
"learning_rate": 1.8782017292264426e-05,
"loss": 0.7848,
"step": 9600
},
{
"epoch": 1.76,
"learning_rate": 1.8323461823660335e-05,
"loss": 0.7935,
"step": 9700
},
{
"epoch": 1.78,
"learning_rate": 1.786731263977748e-05,
"loss": 0.7978,
"step": 9800
},
{
"epoch": 1.79,
"learning_rate": 1.7413734140905783e-05,
"loss": 0.7936,
"step": 9900
},
{
"epoch": 1.81,
"learning_rate": 1.696288980083704e-05,
"loss": 0.7996,
"step": 10000
},
{
"epoch": 1.83,
"learning_rate": 1.6514942107947466e-05,
"loss": 0.7798,
"step": 10100
},
{
"epoch": 1.85,
"learning_rate": 1.6070052506635487e-05,
"loss": 0.786,
"step": 10200
},
{
"epoch": 1.87,
"learning_rate": 1.5628381339135647e-05,
"loss": 0.7912,
"step": 10300
},
{
"epoch": 1.89,
"learning_rate": 1.5190087787729873e-05,
"loss": 0.7767,
"step": 10400
},
{
"epoch": 1.9,
"learning_rate": 1.4755329817376672e-05,
"loss": 0.7891,
"step": 10500
},
{
"epoch": 1.92,
"learning_rate": 1.4324264118779218e-05,
"loss": 0.7885,
"step": 10600
},
{
"epoch": 1.94,
"learning_rate": 1.389704605191254e-05,
"loss": 0.7969,
"step": 10700
},
{
"epoch": 1.96,
"learning_rate": 1.3473829590030412e-05,
"loss": 0.788,
"step": 10800
},
{
"epoch": 1.98,
"learning_rate": 1.3054767264171989e-05,
"loss": 0.7861,
"step": 10900
},
{
"epoch": 1.99,
"learning_rate": 1.2640010108188234e-05,
"loss": 0.7864,
"step": 11000
},
{
"epoch": 2.01,
"learning_rate": 1.2229707604308002e-05,
"loss": 0.7989,
"step": 11100
},
{
"epoch": 2.03,
"learning_rate": 1.1824007629263217e-05,
"loss": 0.7764,
"step": 11200
},
{
"epoch": 2.05,
"learning_rate": 1.1423056400992816e-05,
"loss": 0.7934,
"step": 11300
},
{
"epoch": 2.07,
"learning_rate": 1.1026998425944449e-05,
"loss": 0.786,
"step": 11400
},
{
"epoch": 2.08,
"learning_rate": 1.0635976446993102e-05,
"loss": 0.7922,
"step": 11500
},
{
"epoch": 2.1,
"learning_rate": 1.02501313919952e-05,
"loss": 0.7842,
"step": 11600
},
{
"epoch": 2.12,
"learning_rate": 9.869602322996985e-06,
"loss": 0.7932,
"step": 11700
},
{
"epoch": 2.14,
"learning_rate": 9.494526386115285e-06,
"loss": 0.7754,
"step": 11800
},
{
"epoch": 2.16,
"learning_rate": 9.125038762108796e-06,
"loss": 0.7921,
"step": 11900
},
{
"epoch": 2.18,
"learning_rate": 8.76127261765777e-06,
"loss": 0.7935,
"step": 12000
},
{
"epoch": 2.19,
"learning_rate": 8.403359057369443e-06,
"loss": 0.7857,
"step": 12100
},
{
"epoch": 2.21,
"learning_rate": 8.05142707652685e-06,
"loss": 0.7884,
"step": 12200
},
{
"epoch": 2.23,
"learning_rate": 7.705603514597697e-06,
"loss": 0.7896,
"step": 12300
},
{
"epoch": 2.25,
"learning_rate": 7.366013009520287e-06,
"loss": 0.7823,
"step": 12400
},
{
"epoch": 2.27,
"learning_rate": 7.032777952782879e-06,
"loss": 0.7743,
"step": 12500
},
{
"epoch": 2.28,
"learning_rate": 6.7060184453127065e-06,
"loss": 0.7912,
"step": 12600
},
{
"epoch": 2.3,
"learning_rate": 6.385852254190483e-06,
"loss": 0.7814,
"step": 12700
},
{
"epoch": 2.32,
"learning_rate": 6.072394770206108e-06,
"loss": 0.7882,
"step": 12800
},
{
"epoch": 2.34,
"learning_rate": 5.7657589662707655e-06,
"loss": 0.7895,
"step": 12900
},
{
"epoch": 2.36,
"learning_rate": 5.4660553567005e-06,
"loss": 0.7872,
"step": 13000
},
{
"epoch": 2.37,
"learning_rate": 5.173391957385812e-06,
"loss": 0.7932,
"step": 13100
},
{
"epoch": 2.39,
"learning_rate": 4.887874246861776e-06,
"loss": 0.7979,
"step": 13200
},
{
"epoch": 2.41,
"learning_rate": 4.609605128292627e-06,
"loss": 0.7816,
"step": 13300
},
{
"epoch": 2.43,
"learning_rate": 4.33868489238452e-06,
"loss": 0.798,
"step": 13400
},
{
"epoch": 2.45,
"learning_rate": 4.0752111812398825e-06,
"loss": 0.7787,
"step": 13500
},
{
"epoch": 2.47,
"learning_rate": 3.819278953166247e-06,
"loss": 0.7929,
"step": 13600
},
{
"epoch": 2.48,
"learning_rate": 3.570980448452507e-06,
"loss": 0.7856,
"step": 13700
},
{
"epoch": 2.5,
"learning_rate": 3.3304051561246193e-06,
"loss": 0.7891,
"step": 13800
},
{
"epoch": 2.52,
"learning_rate": 3.0976397816929847e-06,
"loss": 0.7871,
"step": 13900
},
{
"epoch": 2.54,
"learning_rate": 2.872768215902963e-06,
"loss": 0.7771,
"step": 14000
},
{
"epoch": 2.56,
"learning_rate": 2.6558715044999407e-06,
"loss": 0.7852,
"step": 14100
},
{
"epoch": 2.57,
"learning_rate": 2.4470278190196565e-06,
"loss": 0.7848,
"step": 14200
},
{
"epoch": 2.59,
"learning_rate": 2.246312428614519e-06,
"loss": 0.7832,
"step": 14300
},
{
"epoch": 2.61,
"learning_rate": 2.0537976729258834e-06,
"loss": 0.7903,
"step": 14400
},
{
"epoch": 2.63,
"learning_rate": 1.8695529360122367e-06,
"loss": 0.7787,
"step": 14500
},
{
"epoch": 2.65,
"learning_rate": 1.6936446213425079e-06,
"loss": 0.7867,
"step": 14600
},
{
"epoch": 2.66,
"learning_rate": 1.5261361278636949e-06,
"loss": 0.7915,
"step": 14700
},
{
"epoch": 2.68,
"learning_rate": 1.367087827151284e-06,
"loss": 0.7798,
"step": 14800
},
{
"epoch": 2.7,
"learning_rate": 1.2165570416508038e-06,
"loss": 0.78,
"step": 14900
},
{
"epoch": 2.72,
"learning_rate": 1.074598024018303e-06,
"loss": 0.7942,
"step": 15000
}
],
"logging_steps": 100,
"max_steps": 16548,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 1000,
"total_flos": 1.352977945323252e+20,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}