| { | |
| "best_metric": 1.0027852058410645, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-40000", | |
| "epoch": 1.6297262059973925, | |
| "eval_steps": 1000, | |
| "global_step": 40000, | |
| "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": 1.0788, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.2063, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.32894211576846305, | |
| "eval_loss": 1.109653115272522, | |
| "eval_runtime": 50.6057, | |
| "eval_samples_per_second": 99.001, | |
| "eval_steps_per_second": 12.39, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1293, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.32994011976047904, | |
| "eval_loss": 1.1056402921676636, | |
| "eval_runtime": 50.7169, | |
| "eval_samples_per_second": 98.784, | |
| "eval_steps_per_second": 12.363, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1263, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3347305389221557, | |
| "eval_loss": 1.1063188314437866, | |
| "eval_runtime": 50.8081, | |
| "eval_samples_per_second": 98.606, | |
| "eval_steps_per_second": 12.341, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1211, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.34291417165668664, | |
| "eval_loss": 1.1010773181915283, | |
| "eval_runtime": 50.6469, | |
| "eval_samples_per_second": 98.92, | |
| "eval_steps_per_second": 12.38, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3883333333333335e-07, | |
| "loss": 1.1176, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3395209580838323, | |
| "eval_loss": 1.099412441253662, | |
| "eval_runtime": 50.7266, | |
| "eval_samples_per_second": 98.765, | |
| "eval_steps_per_second": 12.36, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1165, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3596806387225549, | |
| "eval_loss": 1.0983413457870483, | |
| "eval_runtime": 50.7493, | |
| "eval_samples_per_second": 98.721, | |
| "eval_steps_per_second": 12.355, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9436111111111112e-07, | |
| "loss": 1.1127, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.35768463073852297, | |
| "eval_loss": 1.094804048538208, | |
| "eval_runtime": 50.8322, | |
| "eval_samples_per_second": 98.56, | |
| "eval_steps_per_second": 12.335, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2213888888888891e-07, | |
| "loss": 1.1095, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.36407185628742517, | |
| "eval_loss": 1.0937609672546387, | |
| "eval_runtime": 50.8609, | |
| "eval_samples_per_second": 98.504, | |
| "eval_steps_per_second": 12.328, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.499166666666667e-07, | |
| "loss": 1.1074, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.34770459081836325, | |
| "eval_loss": 1.1025313138961792, | |
| "eval_runtime": 50.8052, | |
| "eval_samples_per_second": 98.612, | |
| "eval_steps_per_second": 12.341, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776666666666667e-07, | |
| "loss": 1.1065, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.38163672654690617, | |
| "eval_loss": 1.0920748710632324, | |
| "eval_runtime": 50.8964, | |
| "eval_samples_per_second": 98.435, | |
| "eval_steps_per_second": 12.319, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.054444444444444e-07, | |
| "loss": 1.1026, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.37944111776447104, | |
| "eval_loss": 1.0899525880813599, | |
| "eval_runtime": 50.6905, | |
| "eval_samples_per_second": 98.835, | |
| "eval_steps_per_second": 12.369, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.3319444444444444e-07, | |
| "loss": 1.1016, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.4, | |
| "eval_loss": 1.0867687463760376, | |
| "eval_runtime": 50.8282, | |
| "eval_samples_per_second": 98.567, | |
| "eval_steps_per_second": 12.336, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.6094444444444446e-07, | |
| "loss": 1.0999, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.3467065868263473, | |
| "eval_loss": 1.0919947624206543, | |
| "eval_runtime": 50.7953, | |
| "eval_samples_per_second": 98.631, | |
| "eval_steps_per_second": 12.344, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.8872222222222223e-07, | |
| "loss": 1.0976, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.38003992015968063, | |
| "eval_loss": 1.0882444381713867, | |
| "eval_runtime": 50.8866, | |
| "eval_samples_per_second": 98.454, | |
| "eval_steps_per_second": 12.322, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.1650000000000006e-07, | |
| "loss": 1.0951, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.4229540918163673, | |
| "eval_loss": 1.0766451358795166, | |
| "eval_runtime": 50.7597, | |
| "eval_samples_per_second": 98.7, | |
| "eval_steps_per_second": 12.352, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.4425e-07, | |
| "loss": 1.087, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.4339321357285429, | |
| "eval_loss": 1.0621711015701294, | |
| "eval_runtime": 50.7559, | |
| "eval_samples_per_second": 98.708, | |
| "eval_steps_per_second": 12.353, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.7202777777777785e-07, | |
| "loss": 1.0769, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.4357285429141717, | |
| "eval_loss": 1.0624364614486694, | |
| "eval_runtime": 50.8608, | |
| "eval_samples_per_second": 98.504, | |
| "eval_steps_per_second": 12.328, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.998055555555556e-07, | |
| "loss": 1.0798, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.4311377245508982, | |
| "eval_loss": 1.0611094236373901, | |
| "eval_runtime": 50.7255, | |
| "eval_samples_per_second": 98.767, | |
| "eval_steps_per_second": 12.361, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.275555555555556e-07, | |
| "loss": 1.0717, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.43852295409181635, | |
| "eval_loss": 1.056412935256958, | |
| "eval_runtime": 50.8955, | |
| "eval_samples_per_second": 98.437, | |
| "eval_steps_per_second": 12.319, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.553333333333334e-07, | |
| "loss": 1.0682, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.43313373253493015, | |
| "eval_loss": 1.0576339960098267, | |
| "eval_runtime": 50.6675, | |
| "eval_samples_per_second": 98.88, | |
| "eval_steps_per_second": 12.375, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830833333333334e-07, | |
| "loss": 1.0674, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.4305389221556886, | |
| "eval_loss": 1.057605504989624, | |
| "eval_runtime": 50.8082, | |
| "eval_samples_per_second": 98.606, | |
| "eval_steps_per_second": 12.341, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.108611111111111e-07, | |
| "loss": 1.0689, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.4351297405189621, | |
| "eval_loss": 1.0509696006774902, | |
| "eval_runtime": 50.7595, | |
| "eval_samples_per_second": 98.701, | |
| "eval_steps_per_second": 12.352, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 6.386388888888889e-07, | |
| "loss": 1.065, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.4363273453093812, | |
| "eval_loss": 1.0513038635253906, | |
| "eval_runtime": 50.685, | |
| "eval_samples_per_second": 98.846, | |
| "eval_steps_per_second": 12.371, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 6.663888888888889e-07, | |
| "loss": 1.0638, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.4429141716566866, | |
| "eval_loss": 1.04515540599823, | |
| "eval_runtime": 50.9215, | |
| "eval_samples_per_second": 98.387, | |
| "eval_steps_per_second": 12.313, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 6.941666666666667e-07, | |
| "loss": 1.0607, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.4471057884231537, | |
| "eval_loss": 1.0432593822479248, | |
| "eval_runtime": 50.8338, | |
| "eval_samples_per_second": 98.556, | |
| "eval_steps_per_second": 12.334, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 7.219444444444444e-07, | |
| "loss": 1.0578, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.4407185628742515, | |
| "eval_loss": 1.044198751449585, | |
| "eval_runtime": 50.8791, | |
| "eval_samples_per_second": 98.469, | |
| "eval_steps_per_second": 12.323, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 7.496944444444444e-07, | |
| "loss": 1.0602, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_accuracy": 0.4363273453093812, | |
| "eval_loss": 1.045542597770691, | |
| "eval_runtime": 50.8933, | |
| "eval_samples_per_second": 98.441, | |
| "eval_steps_per_second": 12.32, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 7.774722222222223e-07, | |
| "loss": 1.0566, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.437125748502994, | |
| "eval_loss": 1.038167953491211, | |
| "eval_runtime": 50.8894, | |
| "eval_samples_per_second": 98.449, | |
| "eval_steps_per_second": 12.321, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 8.052222222222223e-07, | |
| "loss": 1.0528, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_accuracy": 0.45069860279441115, | |
| "eval_loss": 1.0337190628051758, | |
| "eval_runtime": 50.8393, | |
| "eval_samples_per_second": 98.546, | |
| "eval_steps_per_second": 12.333, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 8.330000000000001e-07, | |
| "loss": 1.0507, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "eval_accuracy": 0.4497005988023952, | |
| "eval_loss": 1.0287295579910278, | |
| "eval_runtime": 50.8361, | |
| "eval_samples_per_second": 98.552, | |
| "eval_steps_per_second": 12.334, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 8.607777777777779e-07, | |
| "loss": 1.0553, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_accuracy": 0.45209580838323354, | |
| "eval_loss": 1.0318636894226074, | |
| "eval_runtime": 50.8224, | |
| "eval_samples_per_second": 98.578, | |
| "eval_steps_per_second": 12.337, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 8.885277777777779e-07, | |
| "loss": 1.0509, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "eval_accuracy": 0.4530938123752495, | |
| "eval_loss": 1.0215647220611572, | |
| "eval_runtime": 50.8903, | |
| "eval_samples_per_second": 98.447, | |
| "eval_steps_per_second": 12.321, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 9.163055555555556e-07, | |
| "loss": 1.0444, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "eval_accuracy": 0.47025948103792414, | |
| "eval_loss": 1.0156230926513672, | |
| "eval_runtime": 50.8879, | |
| "eval_samples_per_second": 98.452, | |
| "eval_steps_per_second": 12.321, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 9.440833333333335e-07, | |
| "loss": 1.0383, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "eval_accuracy": 0.4686626746506986, | |
| "eval_loss": 1.0187312364578247, | |
| "eval_runtime": 50.7712, | |
| "eval_samples_per_second": 98.678, | |
| "eval_steps_per_second": 12.35, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 9.718333333333334e-07, | |
| "loss": 1.043, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_accuracy": 0.4748502994011976, | |
| "eval_loss": 1.0167384147644043, | |
| "eval_runtime": 50.6223, | |
| "eval_samples_per_second": 98.968, | |
| "eval_steps_per_second": 12.386, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 9.996111111111111e-07, | |
| "loss": 1.0396, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "eval_accuracy": 0.47964071856287427, | |
| "eval_loss": 1.0082147121429443, | |
| "eval_runtime": 50.671, | |
| "eval_samples_per_second": 98.873, | |
| "eval_steps_per_second": 12.374, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 1.0273888888888891e-06, | |
| "loss": 1.0373, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "eval_accuracy": 0.4802395209580838, | |
| "eval_loss": 1.0071511268615723, | |
| "eval_runtime": 50.5903, | |
| "eval_samples_per_second": 99.031, | |
| "eval_steps_per_second": 12.394, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 1.0551666666666669e-06, | |
| "loss": 1.0371, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "eval_accuracy": 0.49481037924151694, | |
| "eval_loss": 1.0086288452148438, | |
| "eval_runtime": 50.7157, | |
| "eval_samples_per_second": 98.786, | |
| "eval_steps_per_second": 12.363, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 1.082888888888889e-06, | |
| "loss": 1.0367, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_accuracy": 0.4884231536926148, | |
| "eval_loss": 1.0103219747543335, | |
| "eval_runtime": 50.6401, | |
| "eval_samples_per_second": 98.934, | |
| "eval_steps_per_second": 12.382, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 1.1106666666666668e-06, | |
| "loss": 1.0311, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_accuracy": 0.4846307385229541, | |
| "eval_loss": 1.0027852058410645, | |
| "eval_runtime": 50.6939, | |
| "eval_samples_per_second": 98.828, | |
| "eval_steps_per_second": 12.368, | |
| "step": 40000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 8.36139439203287e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |