| { | |
| "best_metric": 0.9735556244850159, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-100000", | |
| "epoch": 4.115058670143416, | |
| "eval_steps": 1000, | |
| "global_step": 101000, | |
| "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 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 1.0556527094739763e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |