|
{ |
|
"best_metric": 1.0023722648620605, |
|
"best_model_checkpoint": "/kaggle/output/checkpoint-51000", |
|
"epoch": 2.077900912646675, |
|
"eval_steps": 1000, |
|
"global_step": 51000, |
|
"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 |
|
} |
|
], |
|
"logging_steps": 1000, |
|
"max_steps": 10000000, |
|
"num_train_epochs": 408, |
|
"save_steps": 1000, |
|
"total_flos": 5.330523841206682e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|