SNLI_bert-base-uncased / trainer_state.json
boychaboy's picture
initial commit
affc348
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.0,
"global_step": 42985,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06,
"learning_rate": 1.976736070722345e-05,
"loss": 0.6539,
"step": 500
},
{
"epoch": 0.12,
"learning_rate": 1.95347214144469e-05,
"loss": 0.503,
"step": 1000
},
{
"epoch": 0.17,
"learning_rate": 1.930208212167035e-05,
"loss": 0.4624,
"step": 1500
},
{
"epoch": 0.23,
"learning_rate": 1.9069442828893803e-05,
"loss": 0.4344,
"step": 2000
},
{
"epoch": 0.29,
"learning_rate": 1.8836803536117253e-05,
"loss": 0.4245,
"step": 2500
},
{
"epoch": 0.35,
"learning_rate": 1.8604164243340703e-05,
"loss": 0.4102,
"step": 3000
},
{
"epoch": 0.41,
"learning_rate": 1.8371524950564152e-05,
"loss": 0.4059,
"step": 3500
},
{
"epoch": 0.47,
"learning_rate": 1.8138885657787602e-05,
"loss": 0.3898,
"step": 4000
},
{
"epoch": 0.52,
"learning_rate": 1.790624636501105e-05,
"loss": 0.3791,
"step": 4500
},
{
"epoch": 0.58,
"learning_rate": 1.76736070722345e-05,
"loss": 0.3763,
"step": 5000
},
{
"epoch": 0.64,
"learning_rate": 1.744096777945795e-05,
"loss": 0.3773,
"step": 5500
},
{
"epoch": 0.7,
"learning_rate": 1.7208328486681404e-05,
"loss": 0.3731,
"step": 6000
},
{
"epoch": 0.76,
"learning_rate": 1.6975689193904853e-05,
"loss": 0.36,
"step": 6500
},
{
"epoch": 0.81,
"learning_rate": 1.67430499011283e-05,
"loss": 0.358,
"step": 7000
},
{
"epoch": 0.87,
"learning_rate": 1.6510410608351752e-05,
"loss": 0.356,
"step": 7500
},
{
"epoch": 0.93,
"learning_rate": 1.6277771315575202e-05,
"loss": 0.3576,
"step": 8000
},
{
"epoch": 0.99,
"learning_rate": 1.604513202279865e-05,
"loss": 0.3501,
"step": 8500
},
{
"epoch": 1.05,
"learning_rate": 1.58124927300221e-05,
"loss": 0.3034,
"step": 9000
},
{
"epoch": 1.11,
"learning_rate": 1.557985343724555e-05,
"loss": 0.2965,
"step": 9500
},
{
"epoch": 1.16,
"learning_rate": 1.5347214144469004e-05,
"loss": 0.2923,
"step": 10000
},
{
"epoch": 1.22,
"learning_rate": 1.5114574851692452e-05,
"loss": 0.3006,
"step": 10500
},
{
"epoch": 1.28,
"learning_rate": 1.4881935558915903e-05,
"loss": 0.2882,
"step": 11000
},
{
"epoch": 1.34,
"learning_rate": 1.4649296266139352e-05,
"loss": 0.2911,
"step": 11500
},
{
"epoch": 1.4,
"learning_rate": 1.4416656973362802e-05,
"loss": 0.2882,
"step": 12000
},
{
"epoch": 1.45,
"learning_rate": 1.4184017680586253e-05,
"loss": 0.2886,
"step": 12500
},
{
"epoch": 1.51,
"learning_rate": 1.3951378387809701e-05,
"loss": 0.2867,
"step": 13000
},
{
"epoch": 1.57,
"learning_rate": 1.371873909503315e-05,
"loss": 0.2905,
"step": 13500
},
{
"epoch": 1.63,
"learning_rate": 1.3486099802256602e-05,
"loss": 0.2897,
"step": 14000
},
{
"epoch": 1.69,
"learning_rate": 1.3253460509480052e-05,
"loss": 0.2852,
"step": 14500
},
{
"epoch": 1.74,
"learning_rate": 1.3020821216703503e-05,
"loss": 0.2893,
"step": 15000
},
{
"epoch": 1.8,
"learning_rate": 1.2788181923926953e-05,
"loss": 0.2905,
"step": 15500
},
{
"epoch": 1.86,
"learning_rate": 1.2555542631150402e-05,
"loss": 0.288,
"step": 16000
},
{
"epoch": 1.92,
"learning_rate": 1.2322903338373853e-05,
"loss": 0.287,
"step": 16500
},
{
"epoch": 1.98,
"learning_rate": 1.2090264045597301e-05,
"loss": 0.285,
"step": 17000
},
{
"epoch": 2.04,
"learning_rate": 1.1857624752820753e-05,
"loss": 0.2427,
"step": 17500
},
{
"epoch": 2.09,
"learning_rate": 1.1624985460044202e-05,
"loss": 0.2328,
"step": 18000
},
{
"epoch": 2.15,
"learning_rate": 1.1392346167267652e-05,
"loss": 0.2206,
"step": 18500
},
{
"epoch": 2.21,
"learning_rate": 1.1159706874491103e-05,
"loss": 0.2262,
"step": 19000
},
{
"epoch": 2.27,
"learning_rate": 1.0927067581714553e-05,
"loss": 0.2358,
"step": 19500
},
{
"epoch": 2.33,
"learning_rate": 1.0694428288938004e-05,
"loss": 0.2221,
"step": 20000
},
{
"epoch": 2.38,
"learning_rate": 1.0461788996161452e-05,
"loss": 0.2233,
"step": 20500
},
{
"epoch": 2.44,
"learning_rate": 1.0229149703384902e-05,
"loss": 0.2266,
"step": 21000
},
{
"epoch": 2.5,
"learning_rate": 9.996510410608353e-06,
"loss": 0.2241,
"step": 21500
},
{
"epoch": 2.56,
"learning_rate": 9.763871117831802e-06,
"loss": 0.2305,
"step": 22000
},
{
"epoch": 2.62,
"learning_rate": 9.531231825055252e-06,
"loss": 0.2242,
"step": 22500
},
{
"epoch": 2.68,
"learning_rate": 9.298592532278703e-06,
"loss": 0.2323,
"step": 23000
},
{
"epoch": 2.73,
"learning_rate": 9.065953239502153e-06,
"loss": 0.227,
"step": 23500
},
{
"epoch": 2.79,
"learning_rate": 8.833313946725602e-06,
"loss": 0.2313,
"step": 24000
},
{
"epoch": 2.85,
"learning_rate": 8.600674653949052e-06,
"loss": 0.2318,
"step": 24500
},
{
"epoch": 2.91,
"learning_rate": 8.368035361172503e-06,
"loss": 0.2313,
"step": 25000
},
{
"epoch": 2.97,
"learning_rate": 8.135396068395953e-06,
"loss": 0.2292,
"step": 25500
},
{
"epoch": 3.02,
"learning_rate": 7.902756775619403e-06,
"loss": 0.2063,
"step": 26000
},
{
"epoch": 3.08,
"learning_rate": 7.670117482842852e-06,
"loss": 0.1837,
"step": 26500
},
{
"epoch": 3.14,
"learning_rate": 7.437478190066303e-06,
"loss": 0.1811,
"step": 27000
},
{
"epoch": 3.2,
"learning_rate": 7.204838897289753e-06,
"loss": 0.1777,
"step": 27500
},
{
"epoch": 3.26,
"learning_rate": 6.972199604513203e-06,
"loss": 0.1847,
"step": 28000
},
{
"epoch": 3.32,
"learning_rate": 6.739560311736652e-06,
"loss": 0.1849,
"step": 28500
},
{
"epoch": 3.37,
"learning_rate": 6.506921018960103e-06,
"loss": 0.1811,
"step": 29000
},
{
"epoch": 3.43,
"learning_rate": 6.274281726183553e-06,
"loss": 0.1833,
"step": 29500
},
{
"epoch": 3.49,
"learning_rate": 6.0416424334070035e-06,
"loss": 0.1816,
"step": 30000
},
{
"epoch": 3.55,
"learning_rate": 5.809003140630452e-06,
"loss": 0.1754,
"step": 30500
},
{
"epoch": 3.61,
"learning_rate": 5.576363847853903e-06,
"loss": 0.1808,
"step": 31000
},
{
"epoch": 3.66,
"learning_rate": 5.343724555077353e-06,
"loss": 0.184,
"step": 31500
},
{
"epoch": 3.72,
"learning_rate": 5.111085262300804e-06,
"loss": 0.1812,
"step": 32000
},
{
"epoch": 3.78,
"learning_rate": 4.878445969524253e-06,
"loss": 0.1835,
"step": 32500
},
{
"epoch": 3.84,
"learning_rate": 4.645806676747703e-06,
"loss": 0.1797,
"step": 33000
},
{
"epoch": 3.9,
"learning_rate": 4.413167383971153e-06,
"loss": 0.1816,
"step": 33500
},
{
"epoch": 3.95,
"learning_rate": 4.180528091194604e-06,
"loss": 0.1766,
"step": 34000
},
{
"epoch": 4.01,
"learning_rate": 3.947888798418053e-06,
"loss": 0.1744,
"step": 34500
},
{
"epoch": 4.07,
"learning_rate": 3.7152495056415033e-06,
"loss": 0.1536,
"step": 35000
},
{
"epoch": 4.13,
"learning_rate": 3.482610212864953e-06,
"loss": 0.1549,
"step": 35500
},
{
"epoch": 4.19,
"learning_rate": 3.2499709200884033e-06,
"loss": 0.1483,
"step": 36000
},
{
"epoch": 4.25,
"learning_rate": 3.017331627311853e-06,
"loss": 0.1529,
"step": 36500
},
{
"epoch": 4.3,
"learning_rate": 2.7846923345353034e-06,
"loss": 0.1519,
"step": 37000
},
{
"epoch": 4.36,
"learning_rate": 2.552053041758753e-06,
"loss": 0.1518,
"step": 37500
},
{
"epoch": 4.42,
"learning_rate": 2.3194137489822034e-06,
"loss": 0.1474,
"step": 38000
},
{
"epoch": 4.48,
"learning_rate": 2.0867744562056534e-06,
"loss": 0.1523,
"step": 38500
},
{
"epoch": 4.54,
"learning_rate": 1.8541351634291032e-06,
"loss": 0.1491,
"step": 39000
},
{
"epoch": 4.59,
"learning_rate": 1.6214958706525532e-06,
"loss": 0.1474,
"step": 39500
},
{
"epoch": 4.65,
"learning_rate": 1.3888565778760033e-06,
"loss": 0.1469,
"step": 40000
},
{
"epoch": 4.71,
"learning_rate": 1.1562172850994535e-06,
"loss": 0.1447,
"step": 40500
},
{
"epoch": 4.77,
"learning_rate": 9.235779923229034e-07,
"loss": 0.1515,
"step": 41000
},
{
"epoch": 4.83,
"learning_rate": 6.909386995463534e-07,
"loss": 0.1473,
"step": 41500
},
{
"epoch": 4.89,
"learning_rate": 4.5829940676980343e-07,
"loss": 0.151,
"step": 42000
},
{
"epoch": 4.94,
"learning_rate": 2.256601139932535e-07,
"loss": 0.15,
"step": 42500
},
{
"epoch": 5.0,
"step": 42985,
"total_flos": 4.625905344087859e+17,
"train_runtime": 34216.2349,
"train_samples_per_second": 1.256
}
],
"max_steps": 42985,
"num_train_epochs": 5,
"total_flos": 4.625905344087859e+17,
"trial_name": null,
"trial_params": null
}