| { | |
| "best_metric": 1.032871127128601, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-38000", | |
| "epoch": 1.548239895697523, | |
| "eval_steps": 1000, | |
| "global_step": 38000, | |
| "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 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 3.971769266523341e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |