|
{ |
|
"best_metric": 0.9604237079620361, |
|
"best_model_checkpoint": "/kaggle/output/checkpoint-112000", |
|
"epoch": 4.603976531942633, |
|
"eval_steps": 1000, |
|
"global_step": 113000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 2.7777777777777777e-11, |
|
"loss": 1.2358, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 2.7750000000000004e-08, |
|
"loss": 1.1519, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"eval_accuracy": 0.3201596806387226, |
|
"eval_loss": 1.1120171546936035, |
|
"eval_runtime": 29.027, |
|
"eval_samples_per_second": 172.598, |
|
"eval_steps_per_second": 21.601, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 5.5527777777777784e-08, |
|
"loss": 1.128, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_accuracy": 0.31796407185628744, |
|
"eval_loss": 1.108055830001831, |
|
"eval_runtime": 28.9944, |
|
"eval_samples_per_second": 172.792, |
|
"eval_steps_per_second": 21.625, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 8.327777777777778e-08, |
|
"loss": 1.122, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_accuracy": 0.3345309381237525, |
|
"eval_loss": 1.1074285507202148, |
|
"eval_runtime": 28.9901, |
|
"eval_samples_per_second": 172.818, |
|
"eval_steps_per_second": 21.628, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 1.1105555555555557e-07, |
|
"loss": 1.1196, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_accuracy": 0.3337325349301397, |
|
"eval_loss": 1.1045424938201904, |
|
"eval_runtime": 28.9791, |
|
"eval_samples_per_second": 172.883, |
|
"eval_steps_per_second": 21.636, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 1.3880555555555558e-07, |
|
"loss": 1.1169, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"eval_accuracy": 0.3397205588822355, |
|
"eval_loss": 1.1033179759979248, |
|
"eval_runtime": 29.0295, |
|
"eval_samples_per_second": 172.583, |
|
"eval_steps_per_second": 21.599, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 1.6658333333333335e-07, |
|
"loss": 1.118, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_accuracy": 0.3401197604790419, |
|
"eval_loss": 1.1030455827713013, |
|
"eval_runtime": 28.9748, |
|
"eval_samples_per_second": 172.909, |
|
"eval_steps_per_second": 21.639, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 1.9433333333333334e-07, |
|
"loss": 1.1135, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"eval_accuracy": 0.35568862275449104, |
|
"eval_loss": 1.0998502969741821, |
|
"eval_runtime": 28.9964, |
|
"eval_samples_per_second": 172.78, |
|
"eval_steps_per_second": 21.623, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 2.2211111111111114e-07, |
|
"loss": 1.1136, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"eval_accuracy": 0.34510978043912177, |
|
"eval_loss": 1.098555564880371, |
|
"eval_runtime": 28.983, |
|
"eval_samples_per_second": 172.86, |
|
"eval_steps_per_second": 21.633, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 2.4986111111111113e-07, |
|
"loss": 1.11, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"eval_accuracy": 0.3411177644710579, |
|
"eval_loss": 1.1035741567611694, |
|
"eval_runtime": 28.9758, |
|
"eval_samples_per_second": 172.903, |
|
"eval_steps_per_second": 21.639, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 2.776388888888889e-07, |
|
"loss": 1.1076, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"eval_accuracy": 0.35788423153692617, |
|
"eval_loss": 1.0970662832260132, |
|
"eval_runtime": 29.0262, |
|
"eval_samples_per_second": 172.603, |
|
"eval_steps_per_second": 21.601, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 3.0541666666666667e-07, |
|
"loss": 1.1067, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"eval_accuracy": 0.37425149700598803, |
|
"eval_loss": 1.094608187675476, |
|
"eval_runtime": 28.8738, |
|
"eval_samples_per_second": 173.513, |
|
"eval_steps_per_second": 21.715, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 3.3319444444444444e-07, |
|
"loss": 1.1032, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"eval_accuracy": 0.37924151696606784, |
|
"eval_loss": 1.092067837715149, |
|
"eval_runtime": 28.9514, |
|
"eval_samples_per_second": 173.049, |
|
"eval_steps_per_second": 21.657, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 3.6094444444444446e-07, |
|
"loss": 1.1052, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"eval_accuracy": 0.3435129740518962, |
|
"eval_loss": 1.0962508916854858, |
|
"eval_runtime": 29.2203, |
|
"eval_samples_per_second": 171.456, |
|
"eval_steps_per_second": 21.458, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 3.8872222222222223e-07, |
|
"loss": 1.1015, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"eval_accuracy": 0.36806387225548903, |
|
"eval_loss": 1.0941067934036255, |
|
"eval_runtime": 29.2088, |
|
"eval_samples_per_second": 171.524, |
|
"eval_steps_per_second": 21.466, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 4.1650000000000006e-07, |
|
"loss": 1.0986, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"eval_accuracy": 0.3718562874251497, |
|
"eval_loss": 1.0906143188476562, |
|
"eval_runtime": 28.9463, |
|
"eval_samples_per_second": 173.079, |
|
"eval_steps_per_second": 21.661, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 4.4425e-07, |
|
"loss": 1.0984, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"eval_accuracy": 0.38183632734530937, |
|
"eval_loss": 1.0862348079681396, |
|
"eval_runtime": 28.9909, |
|
"eval_samples_per_second": 172.813, |
|
"eval_steps_per_second": 21.627, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 4.7202777777777785e-07, |
|
"loss": 1.0959, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"eval_accuracy": 0.40079840319361276, |
|
"eval_loss": 1.0846956968307495, |
|
"eval_runtime": 28.9606, |
|
"eval_samples_per_second": 172.994, |
|
"eval_steps_per_second": 21.65, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 4.998055555555556e-07, |
|
"loss": 1.0965, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"eval_accuracy": 0.4043912175648703, |
|
"eval_loss": 1.086153507232666, |
|
"eval_runtime": 28.8411, |
|
"eval_samples_per_second": 173.71, |
|
"eval_steps_per_second": 21.74, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 5.275555555555556e-07, |
|
"loss": 1.0966, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"eval_accuracy": 0.4041916167664671, |
|
"eval_loss": 1.0824861526489258, |
|
"eval_runtime": 28.9652, |
|
"eval_samples_per_second": 172.966, |
|
"eval_steps_per_second": 21.647, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 5.553333333333334e-07, |
|
"loss": 1.0943, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"eval_accuracy": 0.4103792415169661, |
|
"eval_loss": 1.0817394256591797, |
|
"eval_runtime": 28.9548, |
|
"eval_samples_per_second": 173.028, |
|
"eval_steps_per_second": 21.654, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 5.830833333333334e-07, |
|
"loss": 1.0898, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"eval_accuracy": 0.41357285429141716, |
|
"eval_loss": 1.0764833688735962, |
|
"eval_runtime": 28.9932, |
|
"eval_samples_per_second": 172.799, |
|
"eval_steps_per_second": 21.626, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 6.108611111111111e-07, |
|
"loss": 1.0877, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"eval_accuracy": 0.4293413173652695, |
|
"eval_loss": 1.0701513290405273, |
|
"eval_runtime": 28.9628, |
|
"eval_samples_per_second": 172.98, |
|
"eval_steps_per_second": 21.648, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 6.386388888888889e-07, |
|
"loss": 1.0826, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"eval_accuracy": 0.4285429141716567, |
|
"eval_loss": 1.0636069774627686, |
|
"eval_runtime": 28.9704, |
|
"eval_samples_per_second": 172.935, |
|
"eval_steps_per_second": 21.643, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 6.664166666666667e-07, |
|
"loss": 1.0781, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"eval_accuracy": 0.43213572854291415, |
|
"eval_loss": 1.059762954711914, |
|
"eval_runtime": 29.0265, |
|
"eval_samples_per_second": 172.601, |
|
"eval_steps_per_second": 21.601, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 6.941666666666667e-07, |
|
"loss": 1.0728, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"eval_accuracy": 0.4373253493013972, |
|
"eval_loss": 1.056991696357727, |
|
"eval_runtime": 28.9761, |
|
"eval_samples_per_second": 172.901, |
|
"eval_steps_per_second": 21.639, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 7.219444444444444e-07, |
|
"loss": 1.0719, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"eval_accuracy": 0.43193612774451096, |
|
"eval_loss": 1.0573900938034058, |
|
"eval_runtime": 28.9853, |
|
"eval_samples_per_second": 172.846, |
|
"eval_steps_per_second": 21.632, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 7.496944444444444e-07, |
|
"loss": 1.0683, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"eval_accuracy": 0.4305389221556886, |
|
"eval_loss": 1.0567399263381958, |
|
"eval_runtime": 28.9611, |
|
"eval_samples_per_second": 172.991, |
|
"eval_steps_per_second": 21.65, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 7.774722222222223e-07, |
|
"loss": 1.0669, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"eval_accuracy": 0.4297405189620758, |
|
"eval_loss": 1.05367910861969, |
|
"eval_runtime": 28.9913, |
|
"eval_samples_per_second": 172.81, |
|
"eval_steps_per_second": 21.627, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 8.052222222222223e-07, |
|
"loss": 1.0629, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"eval_accuracy": 0.4303393213572854, |
|
"eval_loss": 1.0497413873672485, |
|
"eval_runtime": 28.9605, |
|
"eval_samples_per_second": 172.994, |
|
"eval_steps_per_second": 21.65, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 8.330000000000001e-07, |
|
"loss": 1.0614, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"eval_accuracy": 0.43173652694610776, |
|
"eval_loss": 1.046238899230957, |
|
"eval_runtime": 28.9896, |
|
"eval_samples_per_second": 172.821, |
|
"eval_steps_per_second": 21.628, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 8.607500000000001e-07, |
|
"loss": 1.0669, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"eval_accuracy": 0.43233532934131735, |
|
"eval_loss": 1.0541218519210815, |
|
"eval_runtime": 28.9432, |
|
"eval_samples_per_second": 173.098, |
|
"eval_steps_per_second": 21.663, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 8.885277777777779e-07, |
|
"loss": 1.0612, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"eval_accuracy": 0.4285429141716567, |
|
"eval_loss": 1.0527743101119995, |
|
"eval_runtime": 29.0895, |
|
"eval_samples_per_second": 172.227, |
|
"eval_steps_per_second": 21.554, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 9.163055555555556e-07, |
|
"loss": 1.0622, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"eval_accuracy": 0.4339321357285429, |
|
"eval_loss": 1.0462977886199951, |
|
"eval_runtime": 29.1293, |
|
"eval_samples_per_second": 171.992, |
|
"eval_steps_per_second": 21.525, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"learning_rate": 9.440555555555557e-07, |
|
"loss": 1.0542, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"eval_accuracy": 0.43313373253493015, |
|
"eval_loss": 1.044585943222046, |
|
"eval_runtime": 28.9734, |
|
"eval_samples_per_second": 172.917, |
|
"eval_steps_per_second": 21.641, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 1.43, |
|
"learning_rate": 9.718333333333334e-07, |
|
"loss": 1.0588, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 1.43, |
|
"eval_accuracy": 0.4281437125748503, |
|
"eval_loss": 1.0411622524261475, |
|
"eval_runtime": 28.9957, |
|
"eval_samples_per_second": 172.784, |
|
"eval_steps_per_second": 21.624, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 9.995833333333334e-07, |
|
"loss": 1.0556, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"eval_accuracy": 0.44471057884231535, |
|
"eval_loss": 1.037837266921997, |
|
"eval_runtime": 29.0336, |
|
"eval_samples_per_second": 172.559, |
|
"eval_steps_per_second": 21.596, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 1.51, |
|
"learning_rate": 1.0273611111111112e-06, |
|
"loss": 1.0548, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 1.51, |
|
"eval_accuracy": 0.4502994011976048, |
|
"eval_loss": 1.035124659538269, |
|
"eval_runtime": 29.0914, |
|
"eval_samples_per_second": 172.216, |
|
"eval_steps_per_second": 21.553, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"learning_rate": 1.055138888888889e-06, |
|
"loss": 1.0566, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"eval_accuracy": 0.4497005988023952, |
|
"eval_loss": 1.032871127128601, |
|
"eval_runtime": 29.0304, |
|
"eval_samples_per_second": 172.578, |
|
"eval_steps_per_second": 21.598, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 1.0829166666666667e-06, |
|
"loss": 1.0513, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"eval_accuracy": 0.4477045908183633, |
|
"eval_loss": 1.0365269184112549, |
|
"eval_runtime": 29.0199, |
|
"eval_samples_per_second": 172.64, |
|
"eval_steps_per_second": 21.606, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 1.1106666666666668e-06, |
|
"loss": 1.0453, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"eval_accuracy": 0.45708582834331335, |
|
"eval_loss": 1.0288387537002563, |
|
"eval_runtime": 29.1526, |
|
"eval_samples_per_second": 171.854, |
|
"eval_steps_per_second": 21.508, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 1.67, |
|
"learning_rate": 1.1384166666666669e-06, |
|
"loss": 1.048, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 1.67, |
|
"eval_accuracy": 0.44530938123752495, |
|
"eval_loss": 1.0338605642318726, |
|
"eval_runtime": 29.1871, |
|
"eval_samples_per_second": 171.651, |
|
"eval_steps_per_second": 21.482, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 1.1661944444444447e-06, |
|
"loss": 1.042, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"eval_accuracy": 0.45109780439121755, |
|
"eval_loss": 1.0249321460723877, |
|
"eval_runtime": 29.0275, |
|
"eval_samples_per_second": 172.595, |
|
"eval_steps_per_second": 21.6, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"learning_rate": 1.1939444444444445e-06, |
|
"loss": 1.0437, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"eval_accuracy": 0.44510978043912175, |
|
"eval_loss": 1.0416841506958008, |
|
"eval_runtime": 29.0578, |
|
"eval_samples_per_second": 172.415, |
|
"eval_steps_per_second": 21.578, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"learning_rate": 1.2217222222222223e-06, |
|
"loss": 1.0454, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"eval_accuracy": 0.4630738522954092, |
|
"eval_loss": 1.020729422569275, |
|
"eval_runtime": 29.0874, |
|
"eval_samples_per_second": 172.24, |
|
"eval_steps_per_second": 21.556, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"learning_rate": 1.2495e-06, |
|
"loss": 1.0439, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"eval_accuracy": 0.4746506986027944, |
|
"eval_loss": 1.0175539255142212, |
|
"eval_runtime": 29.093, |
|
"eval_samples_per_second": 172.206, |
|
"eval_steps_per_second": 21.552, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 1.2772500000000001e-06, |
|
"loss": 1.0412, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"eval_accuracy": 0.4626746506986028, |
|
"eval_loss": 1.0218861103057861, |
|
"eval_runtime": 28.9933, |
|
"eval_samples_per_second": 172.798, |
|
"eval_steps_per_second": 21.626, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"learning_rate": 1.3050277777777777e-06, |
|
"loss": 1.0362, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"eval_accuracy": 0.47944111776447107, |
|
"eval_loss": 1.0074430704116821, |
|
"eval_runtime": 29.1004, |
|
"eval_samples_per_second": 172.163, |
|
"eval_steps_per_second": 21.546, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 1.3328055555555555e-06, |
|
"loss": 1.0391, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"eval_accuracy": 0.4614770459081836, |
|
"eval_loss": 1.0313252210617065, |
|
"eval_runtime": 29.0173, |
|
"eval_samples_per_second": 172.655, |
|
"eval_steps_per_second": 21.608, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.3605555555555555e-06, |
|
"loss": 1.0331, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.48303393213572854, |
|
"eval_loss": 1.0042223930358887, |
|
"eval_runtime": 29.0485, |
|
"eval_samples_per_second": 172.47, |
|
"eval_steps_per_second": 21.585, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 1.3883333333333333e-06, |
|
"loss": 1.0328, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"eval_accuracy": 0.4810379241516966, |
|
"eval_loss": 1.0079505443572998, |
|
"eval_runtime": 29.4084, |
|
"eval_samples_per_second": 170.359, |
|
"eval_steps_per_second": 21.32, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 1.4160833333333334e-06, |
|
"loss": 1.0325, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"eval_accuracy": 0.48403193612774453, |
|
"eval_loss": 1.0023722648620605, |
|
"eval_runtime": 29.4825, |
|
"eval_samples_per_second": 169.932, |
|
"eval_steps_per_second": 21.267, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"learning_rate": 1.4438611111111112e-06, |
|
"loss": 1.029, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"eval_accuracy": 0.4786427145708583, |
|
"eval_loss": 1.015783667564392, |
|
"eval_runtime": 29.182, |
|
"eval_samples_per_second": 171.681, |
|
"eval_steps_per_second": 21.486, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"learning_rate": 1.471638888888889e-06, |
|
"loss": 1.0317, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"eval_accuracy": 0.49001996007984033, |
|
"eval_loss": 0.9999898672103882, |
|
"eval_runtime": 29.4591, |
|
"eval_samples_per_second": 170.067, |
|
"eval_steps_per_second": 21.284, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"learning_rate": 1.4993888888888888e-06, |
|
"loss": 1.0319, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"eval_accuracy": 0.48882235528942114, |
|
"eval_loss": 1.0013622045516968, |
|
"eval_runtime": 29.3854, |
|
"eval_samples_per_second": 170.493, |
|
"eval_steps_per_second": 21.337, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"learning_rate": 1.5271666666666668e-06, |
|
"loss": 1.0269, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"eval_accuracy": 0.4878243512974052, |
|
"eval_loss": 0.9981361627578735, |
|
"eval_runtime": 29.0692, |
|
"eval_samples_per_second": 172.347, |
|
"eval_steps_per_second": 21.569, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"learning_rate": 1.5549166666666666e-06, |
|
"loss": 1.0236, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"eval_accuracy": 0.474251497005988, |
|
"eval_loss": 1.0223956108093262, |
|
"eval_runtime": 29.0989, |
|
"eval_samples_per_second": 172.172, |
|
"eval_steps_per_second": 21.547, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"learning_rate": 1.5826944444444446e-06, |
|
"loss": 1.022, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"eval_accuracy": 0.48962075848303394, |
|
"eval_loss": 0.999485969543457, |
|
"eval_runtime": 29.0951, |
|
"eval_samples_per_second": 172.194, |
|
"eval_steps_per_second": 21.55, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 2.36, |
|
"learning_rate": 1.6104444444444447e-06, |
|
"loss": 1.0259, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 2.36, |
|
"eval_accuracy": 0.49161676646706587, |
|
"eval_loss": 1.00543212890625, |
|
"eval_runtime": 29.0186, |
|
"eval_samples_per_second": 172.648, |
|
"eval_steps_per_second": 21.607, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 1.6382222222222222e-06, |
|
"loss": 1.0205, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"eval_accuracy": 0.49620758483033933, |
|
"eval_loss": 0.9923607110977173, |
|
"eval_runtime": 29.1145, |
|
"eval_samples_per_second": 172.079, |
|
"eval_steps_per_second": 21.536, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 2.44, |
|
"learning_rate": 1.6659722222222223e-06, |
|
"loss": 1.0272, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 2.44, |
|
"eval_accuracy": 0.49620758483033933, |
|
"eval_loss": 0.9994486570358276, |
|
"eval_runtime": 29.0247, |
|
"eval_samples_per_second": 172.612, |
|
"eval_steps_per_second": 21.602, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"learning_rate": 1.6937500000000003e-06, |
|
"loss": 1.023, |
|
"step": 61000 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"eval_accuracy": 0.49500998003992014, |
|
"eval_loss": 0.9992738366127014, |
|
"eval_runtime": 29.024, |
|
"eval_samples_per_second": 172.616, |
|
"eval_steps_per_second": 21.603, |
|
"step": 61000 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"learning_rate": 1.7215000000000002e-06, |
|
"loss": 1.0257, |
|
"step": 62000 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"eval_accuracy": 0.481437125748503, |
|
"eval_loss": 1.0081721544265747, |
|
"eval_runtime": 29.125, |
|
"eval_samples_per_second": 172.017, |
|
"eval_steps_per_second": 21.528, |
|
"step": 62000 |
|
}, |
|
{ |
|
"epoch": 2.57, |
|
"learning_rate": 1.7492777777777777e-06, |
|
"loss": 1.0233, |
|
"step": 63000 |
|
}, |
|
{ |
|
"epoch": 2.57, |
|
"eval_accuracy": 0.49660678642714573, |
|
"eval_loss": 0.9943819642066956, |
|
"eval_runtime": 29.3033, |
|
"eval_samples_per_second": 170.97, |
|
"eval_steps_per_second": 21.397, |
|
"step": 63000 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"learning_rate": 1.7770277777777778e-06, |
|
"loss": 1.0207, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"eval_accuracy": 0.500998003992016, |
|
"eval_loss": 0.9942530989646912, |
|
"eval_runtime": 29.3586, |
|
"eval_samples_per_second": 170.648, |
|
"eval_steps_per_second": 21.357, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 1.8048055555555558e-06, |
|
"loss": 1.0212, |
|
"step": 65000 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 0.996075451374054, |
|
"eval_runtime": 29.5902, |
|
"eval_samples_per_second": 169.313, |
|
"eval_steps_per_second": 21.189, |
|
"step": 65000 |
|
}, |
|
{ |
|
"epoch": 2.69, |
|
"learning_rate": 1.8325833333333333e-06, |
|
"loss": 1.0259, |
|
"step": 66000 |
|
}, |
|
{ |
|
"epoch": 2.69, |
|
"eval_accuracy": 0.5043912175648703, |
|
"eval_loss": 0.991050124168396, |
|
"eval_runtime": 29.5206, |
|
"eval_samples_per_second": 169.712, |
|
"eval_steps_per_second": 21.239, |
|
"step": 66000 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"learning_rate": 1.8603333333333334e-06, |
|
"loss": 1.0199, |
|
"step": 67000 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"eval_accuracy": 0.49181636726546907, |
|
"eval_loss": 0.9968613386154175, |
|
"eval_runtime": 29.1614, |
|
"eval_samples_per_second": 171.802, |
|
"eval_steps_per_second": 21.501, |
|
"step": 67000 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"learning_rate": 1.8881111111111114e-06, |
|
"loss": 1.0215, |
|
"step": 68000 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"eval_accuracy": 0.5023952095808383, |
|
"eval_loss": 0.9903049468994141, |
|
"eval_runtime": 29.1422, |
|
"eval_samples_per_second": 171.916, |
|
"eval_steps_per_second": 21.515, |
|
"step": 68000 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"learning_rate": 1.9158611111111115e-06, |
|
"loss": 1.0189, |
|
"step": 69000 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"eval_accuracy": 0.5083832335329341, |
|
"eval_loss": 0.9923155903816223, |
|
"eval_runtime": 29.1108, |
|
"eval_samples_per_second": 172.101, |
|
"eval_steps_per_second": 21.538, |
|
"step": 69000 |
|
}, |
|
{ |
|
"epoch": 2.85, |
|
"learning_rate": 1.943638888888889e-06, |
|
"loss": 1.02, |
|
"step": 70000 |
|
}, |
|
{ |
|
"epoch": 2.85, |
|
"eval_accuracy": 0.4992015968063872, |
|
"eval_loss": 0.99754798412323, |
|
"eval_runtime": 29.0673, |
|
"eval_samples_per_second": 172.359, |
|
"eval_steps_per_second": 21.571, |
|
"step": 70000 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 1.971388888888889e-06, |
|
"loss": 1.0124, |
|
"step": 71000 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"eval_accuracy": 0.5003992015968064, |
|
"eval_loss": 0.9986121654510498, |
|
"eval_runtime": 29.1291, |
|
"eval_samples_per_second": 171.993, |
|
"eval_steps_per_second": 21.525, |
|
"step": 71000 |
|
}, |
|
{ |
|
"epoch": 2.93, |
|
"learning_rate": 1.999166666666667e-06, |
|
"loss": 1.0212, |
|
"step": 72000 |
|
}, |
|
{ |
|
"epoch": 2.93, |
|
"eval_accuracy": 0.48862275449101794, |
|
"eval_loss": 1.0082526206970215, |
|
"eval_runtime": 29.139, |
|
"eval_samples_per_second": 171.935, |
|
"eval_steps_per_second": 21.518, |
|
"step": 72000 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"learning_rate": 2.0269166666666667e-06, |
|
"loss": 1.019, |
|
"step": 73000 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"eval_accuracy": 0.5025948103792415, |
|
"eval_loss": 0.9981805682182312, |
|
"eval_runtime": 29.4021, |
|
"eval_samples_per_second": 170.396, |
|
"eval_steps_per_second": 21.325, |
|
"step": 73000 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"learning_rate": 2.0546944444444447e-06, |
|
"loss": 1.0205, |
|
"step": 74000 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"eval_accuracy": 0.49800399201596807, |
|
"eval_loss": 0.9870504140853882, |
|
"eval_runtime": 29.1143, |
|
"eval_samples_per_second": 172.081, |
|
"eval_steps_per_second": 21.536, |
|
"step": 74000 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"learning_rate": 2.0824444444444446e-06, |
|
"loss": 1.0085, |
|
"step": 75000 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"eval_accuracy": 0.5017964071856288, |
|
"eval_loss": 0.9926252961158752, |
|
"eval_runtime": 29.2368, |
|
"eval_samples_per_second": 171.359, |
|
"eval_steps_per_second": 21.446, |
|
"step": 75000 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 2.1102222222222226e-06, |
|
"loss": 1.0116, |
|
"step": 76000 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"eval_accuracy": 0.5039920159680639, |
|
"eval_loss": 0.9843892455101013, |
|
"eval_runtime": 29.4161, |
|
"eval_samples_per_second": 170.315, |
|
"eval_steps_per_second": 21.315, |
|
"step": 76000 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"learning_rate": 2.1379722222222224e-06, |
|
"loss": 1.0128, |
|
"step": 77000 |
|
}, |
|
{ |
|
"epoch": 3.14, |
|
"eval_accuracy": 0.4746506986027944, |
|
"eval_loss": 1.0196081399917603, |
|
"eval_runtime": 29.2722, |
|
"eval_samples_per_second": 171.152, |
|
"eval_steps_per_second": 21.42, |
|
"step": 77000 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 2.16575e-06, |
|
"loss": 1.0051, |
|
"step": 78000 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"eval_accuracy": 0.5039920159680639, |
|
"eval_loss": 0.9861226677894592, |
|
"eval_runtime": 29.0739, |
|
"eval_samples_per_second": 172.32, |
|
"eval_steps_per_second": 21.566, |
|
"step": 78000 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"learning_rate": 2.1935000000000003e-06, |
|
"loss": 1.0106, |
|
"step": 79000 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"eval_accuracy": 0.49241516966067866, |
|
"eval_loss": 1.0106168985366821, |
|
"eval_runtime": 29.2182, |
|
"eval_samples_per_second": 171.469, |
|
"eval_steps_per_second": 21.459, |
|
"step": 79000 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"learning_rate": 2.221277777777778e-06, |
|
"loss": 1.0086, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"eval_accuracy": 0.4942115768463074, |
|
"eval_loss": 1.0031169652938843, |
|
"eval_runtime": 29.1384, |
|
"eval_samples_per_second": 171.938, |
|
"eval_steps_per_second": 21.518, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 3.3, |
|
"learning_rate": 2.249027777777778e-06, |
|
"loss": 1.0097, |
|
"step": 81000 |
|
}, |
|
{ |
|
"epoch": 3.3, |
|
"eval_accuracy": 0.4932135728542914, |
|
"eval_loss": 0.9960971474647522, |
|
"eval_runtime": 29.1317, |
|
"eval_samples_per_second": 171.977, |
|
"eval_steps_per_second": 21.523, |
|
"step": 81000 |
|
}, |
|
{ |
|
"epoch": 3.34, |
|
"learning_rate": 2.2768055555555557e-06, |
|
"loss": 1.0192, |
|
"step": 82000 |
|
}, |
|
{ |
|
"epoch": 3.34, |
|
"eval_accuracy": 0.49620758483033933, |
|
"eval_loss": 0.9951682686805725, |
|
"eval_runtime": 29.1358, |
|
"eval_samples_per_second": 171.954, |
|
"eval_steps_per_second": 21.52, |
|
"step": 82000 |
|
}, |
|
{ |
|
"epoch": 3.38, |
|
"learning_rate": 2.3045555555555555e-06, |
|
"loss": 1.006, |
|
"step": 83000 |
|
}, |
|
{ |
|
"epoch": 3.38, |
|
"eval_accuracy": 0.49840319361277446, |
|
"eval_loss": 0.9937891960144043, |
|
"eval_runtime": 29.1682, |
|
"eval_samples_per_second": 171.762, |
|
"eval_steps_per_second": 21.496, |
|
"step": 83000 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"learning_rate": 2.3323333333333335e-06, |
|
"loss": 1.0118, |
|
"step": 84000 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"eval_accuracy": 0.5007984031936128, |
|
"eval_loss": 0.9840214252471924, |
|
"eval_runtime": 29.1175, |
|
"eval_samples_per_second": 172.061, |
|
"eval_steps_per_second": 21.533, |
|
"step": 84000 |
|
}, |
|
{ |
|
"epoch": 3.46, |
|
"learning_rate": 2.360083333333334e-06, |
|
"loss": 1.006, |
|
"step": 85000 |
|
}, |
|
{ |
|
"epoch": 3.46, |
|
"eval_accuracy": 0.49620758483033933, |
|
"eval_loss": 0.9880582690238953, |
|
"eval_runtime": 29.1304, |
|
"eval_samples_per_second": 171.985, |
|
"eval_steps_per_second": 21.524, |
|
"step": 85000 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 2.3878611111111113e-06, |
|
"loss": 1.0151, |
|
"step": 86000 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"eval_accuracy": 0.5053892215568863, |
|
"eval_loss": 0.9828479886054993, |
|
"eval_runtime": 29.1321, |
|
"eval_samples_per_second": 171.975, |
|
"eval_steps_per_second": 21.523, |
|
"step": 86000 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"learning_rate": 2.4156388888888893e-06, |
|
"loss": 1.0028, |
|
"step": 87000 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"eval_accuracy": 0.5073852295409181, |
|
"eval_loss": 0.9821121692657471, |
|
"eval_runtime": 29.1459, |
|
"eval_samples_per_second": 171.894, |
|
"eval_steps_per_second": 21.512, |
|
"step": 87000 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"learning_rate": 2.443388888888889e-06, |
|
"loss": 1.0092, |
|
"step": 88000 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"eval_accuracy": 0.5105788423153692, |
|
"eval_loss": 0.9791818857192993, |
|
"eval_runtime": 29.1206, |
|
"eval_samples_per_second": 172.043, |
|
"eval_steps_per_second": 21.531, |
|
"step": 88000 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 2.4711666666666668e-06, |
|
"loss": 1.0024, |
|
"step": 89000 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"eval_accuracy": 0.4940119760479042, |
|
"eval_loss": 0.986344039440155, |
|
"eval_runtime": 29.1948, |
|
"eval_samples_per_second": 171.606, |
|
"eval_steps_per_second": 21.476, |
|
"step": 89000 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"learning_rate": 2.4989166666666666e-06, |
|
"loss": 1.0112, |
|
"step": 90000 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"eval_accuracy": 0.5101796407185629, |
|
"eval_loss": 0.9789302349090576, |
|
"eval_runtime": 29.2661, |
|
"eval_samples_per_second": 171.188, |
|
"eval_steps_per_second": 21.424, |
|
"step": 90000 |
|
}, |
|
{ |
|
"epoch": 3.71, |
|
"learning_rate": 2.5266944444444446e-06, |
|
"loss": 1.0137, |
|
"step": 91000 |
|
}, |
|
{ |
|
"epoch": 3.71, |
|
"eval_accuracy": 0.4936127744510978, |
|
"eval_loss": 0.9870284795761108, |
|
"eval_runtime": 29.4012, |
|
"eval_samples_per_second": 170.401, |
|
"eval_steps_per_second": 21.326, |
|
"step": 91000 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 2.554444444444445e-06, |
|
"loss": 1.0076, |
|
"step": 92000 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"eval_accuracy": 0.49880239520958086, |
|
"eval_loss": 0.9906250238418579, |
|
"eval_runtime": 29.2222, |
|
"eval_samples_per_second": 171.445, |
|
"eval_steps_per_second": 21.456, |
|
"step": 92000 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"learning_rate": 2.5822222222222224e-06, |
|
"loss": 1.0093, |
|
"step": 93000 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"eval_accuracy": 0.5121756487025948, |
|
"eval_loss": 0.9766275882720947, |
|
"eval_runtime": 29.2374, |
|
"eval_samples_per_second": 171.356, |
|
"eval_steps_per_second": 21.445, |
|
"step": 93000 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"learning_rate": 2.6099722222222223e-06, |
|
"loss": 1.0015, |
|
"step": 94000 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"eval_accuracy": 0.4942115768463074, |
|
"eval_loss": 0.991917073726654, |
|
"eval_runtime": 29.3042, |
|
"eval_samples_per_second": 170.965, |
|
"eval_steps_per_second": 21.396, |
|
"step": 94000 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"learning_rate": 2.6377500000000003e-06, |
|
"loss": 1.0066, |
|
"step": 95000 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"eval_accuracy": 0.5101796407185629, |
|
"eval_loss": 0.9762089252471924, |
|
"eval_runtime": 29.2686, |
|
"eval_samples_per_second": 171.173, |
|
"eval_steps_per_second": 21.422, |
|
"step": 95000 |
|
}, |
|
{ |
|
"epoch": 3.91, |
|
"learning_rate": 2.6655e-06, |
|
"loss": 1.0033, |
|
"step": 96000 |
|
}, |
|
{ |
|
"epoch": 3.91, |
|
"eval_accuracy": 0.5071856287425149, |
|
"eval_loss": 0.9739634990692139, |
|
"eval_runtime": 29.2989, |
|
"eval_samples_per_second": 170.996, |
|
"eval_steps_per_second": 21.4, |
|
"step": 96000 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"learning_rate": 2.6932777777777777e-06, |
|
"loss": 1.0054, |
|
"step": 97000 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"eval_accuracy": 0.5033932135728543, |
|
"eval_loss": 0.9856627583503723, |
|
"eval_runtime": 29.2684, |
|
"eval_samples_per_second": 171.174, |
|
"eval_steps_per_second": 21.422, |
|
"step": 97000 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"learning_rate": 2.721027777777778e-06, |
|
"loss": 1.0034, |
|
"step": 98000 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"eval_accuracy": 0.5055888223552895, |
|
"eval_loss": 0.9802790880203247, |
|
"eval_runtime": 29.2896, |
|
"eval_samples_per_second": 171.051, |
|
"eval_steps_per_second": 21.407, |
|
"step": 98000 |
|
}, |
|
{ |
|
"epoch": 4.03, |
|
"learning_rate": 2.748805555555556e-06, |
|
"loss": 1.0003, |
|
"step": 99000 |
|
}, |
|
{ |
|
"epoch": 4.03, |
|
"eval_accuracy": 0.5183632734530939, |
|
"eval_loss": 0.9739055037498474, |
|
"eval_runtime": 29.3152, |
|
"eval_samples_per_second": 170.901, |
|
"eval_steps_per_second": 21.388, |
|
"step": 99000 |
|
}, |
|
{ |
|
"epoch": 4.07, |
|
"learning_rate": 2.776555555555556e-06, |
|
"loss": 0.9978, |
|
"step": 100000 |
|
}, |
|
{ |
|
"epoch": 4.07, |
|
"eval_accuracy": 0.5153692614770459, |
|
"eval_loss": 0.9735556244850159, |
|
"eval_runtime": 29.6841, |
|
"eval_samples_per_second": 168.777, |
|
"eval_steps_per_second": 21.122, |
|
"step": 100000 |
|
}, |
|
{ |
|
"epoch": 4.12, |
|
"learning_rate": 2.8043333333333334e-06, |
|
"loss": 1.0012, |
|
"step": 101000 |
|
}, |
|
{ |
|
"epoch": 4.12, |
|
"eval_accuracy": 0.5115768463073852, |
|
"eval_loss": 0.9762488603591919, |
|
"eval_runtime": 29.3408, |
|
"eval_samples_per_second": 170.752, |
|
"eval_steps_per_second": 21.37, |
|
"step": 101000 |
|
}, |
|
{ |
|
"epoch": 4.16, |
|
"learning_rate": 2.8320833333333333e-06, |
|
"loss": 0.9995, |
|
"step": 102000 |
|
}, |
|
{ |
|
"epoch": 4.16, |
|
"eval_accuracy": 0.492814371257485, |
|
"eval_loss": 0.986444890499115, |
|
"eval_runtime": 29.2787, |
|
"eval_samples_per_second": 171.114, |
|
"eval_steps_per_second": 21.415, |
|
"step": 102000 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"learning_rate": 2.8598611111111112e-06, |
|
"loss": 1.0034, |
|
"step": 103000 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"eval_accuracy": 0.5181636726546907, |
|
"eval_loss": 0.9686606526374817, |
|
"eval_runtime": 29.3082, |
|
"eval_samples_per_second": 170.942, |
|
"eval_steps_per_second": 21.393, |
|
"step": 103000 |
|
}, |
|
{ |
|
"epoch": 4.24, |
|
"learning_rate": 2.8876111111111115e-06, |
|
"loss": 0.9966, |
|
"step": 104000 |
|
}, |
|
{ |
|
"epoch": 4.24, |
|
"eval_accuracy": 0.49540918163672654, |
|
"eval_loss": 0.9904249906539917, |
|
"eval_runtime": 29.3774, |
|
"eval_samples_per_second": 170.539, |
|
"eval_steps_per_second": 21.343, |
|
"step": 104000 |
|
}, |
|
{ |
|
"epoch": 4.28, |
|
"learning_rate": 2.915388888888889e-06, |
|
"loss": 0.993, |
|
"step": 105000 |
|
}, |
|
{ |
|
"epoch": 4.28, |
|
"eval_accuracy": 0.48522954091816367, |
|
"eval_loss": 1.0059425830841064, |
|
"eval_runtime": 29.3509, |
|
"eval_samples_per_second": 170.693, |
|
"eval_steps_per_second": 21.362, |
|
"step": 105000 |
|
}, |
|
{ |
|
"epoch": 4.32, |
|
"learning_rate": 2.943138888888889e-06, |
|
"loss": 0.9887, |
|
"step": 106000 |
|
}, |
|
{ |
|
"epoch": 4.32, |
|
"eval_accuracy": 0.5167664670658683, |
|
"eval_loss": 0.9730390906333923, |
|
"eval_runtime": 29.3622, |
|
"eval_samples_per_second": 170.628, |
|
"eval_steps_per_second": 21.354, |
|
"step": 106000 |
|
}, |
|
{ |
|
"epoch": 4.36, |
|
"learning_rate": 2.9709166666666665e-06, |
|
"loss": 0.99, |
|
"step": 107000 |
|
}, |
|
{ |
|
"epoch": 4.36, |
|
"eval_accuracy": 0.5067864271457085, |
|
"eval_loss": 0.9823795557022095, |
|
"eval_runtime": 29.6253, |
|
"eval_samples_per_second": 169.112, |
|
"eval_steps_per_second": 21.164, |
|
"step": 107000 |
|
}, |
|
{ |
|
"epoch": 4.4, |
|
"learning_rate": 2.9986666666666668e-06, |
|
"loss": 0.9892, |
|
"step": 108000 |
|
}, |
|
{ |
|
"epoch": 4.4, |
|
"eval_accuracy": 0.5063872255489021, |
|
"eval_loss": 0.9779866337776184, |
|
"eval_runtime": 29.3617, |
|
"eval_samples_per_second": 170.63, |
|
"eval_steps_per_second": 21.354, |
|
"step": 108000 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 3.0264444444444448e-06, |
|
"loss": 0.9875, |
|
"step": 109000 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"eval_accuracy": 0.51437125748503, |
|
"eval_loss": 0.9730616211891174, |
|
"eval_runtime": 29.1847, |
|
"eval_samples_per_second": 171.665, |
|
"eval_steps_per_second": 21.484, |
|
"step": 109000 |
|
}, |
|
{ |
|
"epoch": 4.48, |
|
"learning_rate": 3.0541944444444446e-06, |
|
"loss": 0.9941, |
|
"step": 110000 |
|
}, |
|
{ |
|
"epoch": 4.48, |
|
"eval_accuracy": 0.5141716566866268, |
|
"eval_loss": 0.9669836163520813, |
|
"eval_runtime": 29.1138, |
|
"eval_samples_per_second": 172.084, |
|
"eval_steps_per_second": 21.536, |
|
"step": 110000 |
|
}, |
|
{ |
|
"epoch": 4.52, |
|
"learning_rate": 3.081972222222222e-06, |
|
"loss": 0.9882, |
|
"step": 111000 |
|
}, |
|
{ |
|
"epoch": 4.52, |
|
"eval_accuracy": 0.5111776447105788, |
|
"eval_loss": 0.9662576913833618, |
|
"eval_runtime": 29.1798, |
|
"eval_samples_per_second": 171.694, |
|
"eval_steps_per_second": 21.487, |
|
"step": 111000 |
|
}, |
|
{ |
|
"epoch": 4.56, |
|
"learning_rate": 3.109722222222222e-06, |
|
"loss": 1.0006, |
|
"step": 112000 |
|
}, |
|
{ |
|
"epoch": 4.56, |
|
"eval_accuracy": 0.5165668662674651, |
|
"eval_loss": 0.9604237079620361, |
|
"eval_runtime": 29.1464, |
|
"eval_samples_per_second": 171.891, |
|
"eval_steps_per_second": 21.512, |
|
"step": 112000 |
|
}, |
|
{ |
|
"epoch": 4.6, |
|
"learning_rate": 3.1375e-06, |
|
"loss": 0.9836, |
|
"step": 113000 |
|
}, |
|
{ |
|
"epoch": 4.6, |
|
"eval_accuracy": 0.5065868263473053, |
|
"eval_loss": 0.9700830578804016, |
|
"eval_runtime": 29.1062, |
|
"eval_samples_per_second": 172.128, |
|
"eval_steps_per_second": 21.542, |
|
"step": 113000 |
|
} |
|
], |
|
"logging_steps": 1000, |
|
"max_steps": 10000000, |
|
"num_train_epochs": 408, |
|
"save_steps": 1000, |
|
"total_flos": 1.1810774146822963e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|