| { | |
| "best_metric": 0.9791144132614136, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-114000", | |
| "epoch": 4.766949152542373, | |
| "eval_steps": 1000, | |
| "global_step": 117000, | |
| "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": 1.1078, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.128, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.330938123752495, | |
| "eval_loss": 1.1083118915557861, | |
| "eval_runtime": 12.3979, | |
| "eval_samples_per_second": 404.1, | |
| "eval_steps_per_second": 50.573, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1164, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.3323353293413174, | |
| "eval_loss": 1.102672815322876, | |
| "eval_runtime": 12.2861, | |
| "eval_samples_per_second": 407.778, | |
| "eval_steps_per_second": 51.033, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1158, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.34211576846307384, | |
| "eval_loss": 1.1024774312973022, | |
| "eval_runtime": 12.3746, | |
| "eval_samples_per_second": 404.863, | |
| "eval_steps_per_second": 50.668, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1115, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.34890219560878244, | |
| "eval_loss": 1.1012382507324219, | |
| "eval_runtime": 12.5405, | |
| "eval_samples_per_second": 399.505, | |
| "eval_steps_per_second": 49.998, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3880555555555558e-07, | |
| "loss": 1.1141, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3534930139720559, | |
| "eval_loss": 1.1002192497253418, | |
| "eval_runtime": 12.3001, | |
| "eval_samples_per_second": 407.314, | |
| "eval_steps_per_second": 50.975, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.112, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3524950099800399, | |
| "eval_loss": 1.100056767463684, | |
| "eval_runtime": 12.4062, | |
| "eval_samples_per_second": 403.831, | |
| "eval_steps_per_second": 50.539, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9433333333333334e-07, | |
| "loss": 1.1115, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.34331337325349304, | |
| "eval_loss": 1.098986029624939, | |
| "eval_runtime": 12.4456, | |
| "eval_samples_per_second": 402.551, | |
| "eval_steps_per_second": 50.379, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2211111111111114e-07, | |
| "loss": 1.109, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.3347305389221557, | |
| "eval_loss": 1.098678469657898, | |
| "eval_runtime": 12.5978, | |
| "eval_samples_per_second": 397.688, | |
| "eval_steps_per_second": 49.771, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.4986111111111113e-07, | |
| "loss": 1.1117, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.34311377245508984, | |
| "eval_loss": 1.0984419584274292, | |
| "eval_runtime": 12.313, | |
| "eval_samples_per_second": 406.886, | |
| "eval_steps_per_second": 50.922, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776388888888889e-07, | |
| "loss": 1.1081, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.35429141716566864, | |
| "eval_loss": 1.0968743562698364, | |
| "eval_runtime": 12.4088, | |
| "eval_samples_per_second": 403.744, | |
| "eval_steps_per_second": 50.528, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.053888888888889e-07, | |
| "loss": 1.107, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.3722554890219561, | |
| "eval_loss": 1.0950665473937988, | |
| "eval_runtime": 12.5775, | |
| "eval_samples_per_second": 398.33, | |
| "eval_steps_per_second": 49.851, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.331666666666667e-07, | |
| "loss": 1.1057, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.37544910179640717, | |
| "eval_loss": 1.0940738916397095, | |
| "eval_runtime": 12.5186, | |
| "eval_samples_per_second": 400.203, | |
| "eval_steps_per_second": 50.085, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.609166666666667e-07, | |
| "loss": 1.1069, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.3401197604790419, | |
| "eval_loss": 1.0937162637710571, | |
| "eval_runtime": 12.2594, | |
| "eval_samples_per_second": 408.666, | |
| "eval_steps_per_second": 51.144, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.886944444444445e-07, | |
| "loss": 1.1046, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.37604790419161677, | |
| "eval_loss": 1.0926916599273682, | |
| "eval_runtime": 12.256, | |
| "eval_samples_per_second": 408.78, | |
| "eval_steps_per_second": 51.159, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.164444444444445e-07, | |
| "loss": 1.1046, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.39201596806387223, | |
| "eval_loss": 1.0912976264953613, | |
| "eval_runtime": 12.5019, | |
| "eval_samples_per_second": 400.74, | |
| "eval_steps_per_second": 50.152, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.442222222222223e-07, | |
| "loss": 1.1052, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.393812375249501, | |
| "eval_loss": 1.0901482105255127, | |
| "eval_runtime": 12.3407, | |
| "eval_samples_per_second": 405.973, | |
| "eval_steps_per_second": 50.807, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.7197222222222224e-07, | |
| "loss": 1.1011, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.3932135728542914, | |
| "eval_loss": 1.0901678800582886, | |
| "eval_runtime": 12.3644, | |
| "eval_samples_per_second": 405.197, | |
| "eval_steps_per_second": 50.71, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.997500000000001e-07, | |
| "loss": 1.1, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.38143712574850297, | |
| "eval_loss": 1.0897998809814453, | |
| "eval_runtime": 12.3516, | |
| "eval_samples_per_second": 405.615, | |
| "eval_steps_per_second": 50.763, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.275277777777778e-07, | |
| "loss": 1.1007, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.40678642714570856, | |
| "eval_loss": 1.0876121520996094, | |
| "eval_runtime": 12.6608, | |
| "eval_samples_per_second": 395.708, | |
| "eval_steps_per_second": 49.523, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.552777777777778e-07, | |
| "loss": 1.1013, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.4053892215568862, | |
| "eval_loss": 1.0876350402832031, | |
| "eval_runtime": 12.3243, | |
| "eval_samples_per_second": 406.513, | |
| "eval_steps_per_second": 50.875, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830555555555556e-07, | |
| "loss": 1.0987, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.40858283433133735, | |
| "eval_loss": 1.085940957069397, | |
| "eval_runtime": 12.3217, | |
| "eval_samples_per_second": 406.598, | |
| "eval_steps_per_second": 50.886, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.108055555555556e-07, | |
| "loss": 1.0986, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.3972055888223553, | |
| "eval_loss": 1.085978388786316, | |
| "eval_runtime": 12.4285, | |
| "eval_samples_per_second": 403.107, | |
| "eval_steps_per_second": 50.449, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 6.385833333333334e-07, | |
| "loss": 1.0944, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.41097804391217563, | |
| "eval_loss": 1.0837496519088745, | |
| "eval_runtime": 12.7175, | |
| "eval_samples_per_second": 393.946, | |
| "eval_steps_per_second": 49.302, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 6.663611111111112e-07, | |
| "loss": 1.095, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.4121756487025948, | |
| "eval_loss": 1.0820704698562622, | |
| "eval_runtime": 12.3323, | |
| "eval_samples_per_second": 406.251, | |
| "eval_steps_per_second": 50.842, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 6.941111111111112e-07, | |
| "loss": 1.0915, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.4177644710578842, | |
| "eval_loss": 1.0762931108474731, | |
| "eval_runtime": 12.3887, | |
| "eval_samples_per_second": 404.399, | |
| "eval_steps_per_second": 50.61, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 7.218888888888889e-07, | |
| "loss": 1.0889, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.43253493013972055, | |
| "eval_loss": 1.0695326328277588, | |
| "eval_runtime": 12.5611, | |
| "eval_samples_per_second": 398.85, | |
| "eval_steps_per_second": 49.916, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 7.49638888888889e-07, | |
| "loss": 1.0827, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_accuracy": 0.4343313373253493, | |
| "eval_loss": 1.0662548542022705, | |
| "eval_runtime": 12.641, | |
| "eval_samples_per_second": 396.328, | |
| "eval_steps_per_second": 49.6, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 7.774166666666668e-07, | |
| "loss": 1.0765, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.4315369261477046, | |
| "eval_loss": 1.0609794855117798, | |
| "eval_runtime": 12.4637, | |
| "eval_samples_per_second": 401.967, | |
| "eval_steps_per_second": 50.306, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 8.051666666666667e-07, | |
| "loss": 1.0736, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_accuracy": 0.4377245508982036, | |
| "eval_loss": 1.0587859153747559, | |
| "eval_runtime": 12.3801, | |
| "eval_samples_per_second": 404.683, | |
| "eval_steps_per_second": 50.646, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 8.329444444444445e-07, | |
| "loss": 1.0726, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "eval_accuracy": 0.4249500998003992, | |
| "eval_loss": 1.0559338331222534, | |
| "eval_runtime": 12.5945, | |
| "eval_samples_per_second": 397.792, | |
| "eval_steps_per_second": 49.784, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 8.606944444444445e-07, | |
| "loss": 1.0751, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_accuracy": 0.4427145708582834, | |
| "eval_loss": 1.0576916933059692, | |
| "eval_runtime": 12.6324, | |
| "eval_samples_per_second": 396.599, | |
| "eval_steps_per_second": 49.634, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 8.884722222222224e-07, | |
| "loss": 1.0708, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "eval_accuracy": 0.42634730538922155, | |
| "eval_loss": 1.0571542978286743, | |
| "eval_runtime": 12.4696, | |
| "eval_samples_per_second": 401.776, | |
| "eval_steps_per_second": 50.282, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 9.162222222222223e-07, | |
| "loss": 1.0711, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "eval_accuracy": 0.4419161676646707, | |
| "eval_loss": 1.0544849634170532, | |
| "eval_runtime": 12.415, | |
| "eval_samples_per_second": 403.544, | |
| "eval_steps_per_second": 50.503, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 9.440000000000001e-07, | |
| "loss": 1.0666, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "eval_accuracy": 0.43333333333333335, | |
| "eval_loss": 1.05018150806427, | |
| "eval_runtime": 12.6226, | |
| "eval_samples_per_second": 396.906, | |
| "eval_steps_per_second": 49.673, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 9.7175e-07, | |
| "loss": 1.0698, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_accuracy": 0.4377245508982036, | |
| "eval_loss": 1.0488406419754028, | |
| "eval_runtime": 12.6246, | |
| "eval_samples_per_second": 396.844, | |
| "eval_steps_per_second": 49.665, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 9.995277777777778e-07, | |
| "loss": 1.067, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "eval_accuracy": 0.4407185628742515, | |
| "eval_loss": 1.047359824180603, | |
| "eval_runtime": 12.4039, | |
| "eval_samples_per_second": 403.906, | |
| "eval_steps_per_second": 50.549, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 1.027277777777778e-06, | |
| "loss": 1.0636, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "eval_accuracy": 0.44451097804391215, | |
| "eval_loss": 1.0455204248428345, | |
| "eval_runtime": 12.3836, | |
| "eval_samples_per_second": 404.569, | |
| "eval_steps_per_second": 50.632, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 1.0550555555555557e-06, | |
| "loss": 1.0658, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "eval_accuracy": 0.4407185628742515, | |
| "eval_loss": 1.0461794137954712, | |
| "eval_runtime": 12.5546, | |
| "eval_samples_per_second": 399.057, | |
| "eval_steps_per_second": 49.942, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 1.0828333333333334e-06, | |
| "loss": 1.0635, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_accuracy": 0.4367265469061876, | |
| "eval_loss": 1.0461270809173584, | |
| "eval_runtime": 12.5509, | |
| "eval_samples_per_second": 399.173, | |
| "eval_steps_per_second": 49.956, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 1.1105833333333335e-06, | |
| "loss": 1.0596, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_accuracy": 0.449500998003992, | |
| "eval_loss": 1.0418727397918701, | |
| "eval_runtime": 12.4044, | |
| "eval_samples_per_second": 403.889, | |
| "eval_steps_per_second": 50.547, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 1.1383611111111113e-06, | |
| "loss": 1.0595, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "eval_accuracy": 0.4409181636726547, | |
| "eval_loss": 1.0417557954788208, | |
| "eval_runtime": 12.3642, | |
| "eval_samples_per_second": 405.202, | |
| "eval_steps_per_second": 50.711, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 1.1661111111111111e-06, | |
| "loss": 1.054, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "eval_accuracy": 0.4357285429141717, | |
| "eval_loss": 1.0383535623550415, | |
| "eval_runtime": 12.3634, | |
| "eval_samples_per_second": 405.23, | |
| "eval_steps_per_second": 50.714, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 1.193888888888889e-06, | |
| "loss": 1.0543, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_accuracy": 0.43812375249500995, | |
| "eval_loss": 1.0463169813156128, | |
| "eval_runtime": 12.6398, | |
| "eval_samples_per_second": 396.366, | |
| "eval_steps_per_second": 49.605, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 1.221638888888889e-06, | |
| "loss": 1.0579, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "eval_accuracy": 0.4415169660678643, | |
| "eval_loss": 1.0388957262039185, | |
| "eval_runtime": 12.4542, | |
| "eval_samples_per_second": 402.274, | |
| "eval_steps_per_second": 50.344, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 1.2494166666666668e-06, | |
| "loss": 1.0561, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "eval_accuracy": 0.46187624750499, | |
| "eval_loss": 1.031552791595459, | |
| "eval_runtime": 12.4082, | |
| "eval_samples_per_second": 403.764, | |
| "eval_steps_per_second": 50.531, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 1.2771666666666668e-06, | |
| "loss": 1.0516, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "eval_accuracy": 0.4538922155688623, | |
| "eval_loss": 1.0312999486923218, | |
| "eval_runtime": 12.3695, | |
| "eval_samples_per_second": 405.029, | |
| "eval_steps_per_second": 50.689, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "learning_rate": 1.3049444444444446e-06, | |
| "loss": 1.0471, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "eval_accuracy": 0.46387225548902195, | |
| "eval_loss": 1.027535319328308, | |
| "eval_runtime": 12.5846, | |
| "eval_samples_per_second": 398.107, | |
| "eval_steps_per_second": 49.823, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 1.3326944444444447e-06, | |
| "loss": 1.054, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "eval_accuracy": 0.4568862275449102, | |
| "eval_loss": 1.0308438539505005, | |
| "eval_runtime": 12.5646, | |
| "eval_samples_per_second": 398.74, | |
| "eval_steps_per_second": 49.902, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 1.3604722222222224e-06, | |
| "loss": 1.0445, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.47045908183632734, | |
| "eval_loss": 1.0230755805969238, | |
| "eval_runtime": 12.4305, | |
| "eval_samples_per_second": 403.041, | |
| "eval_steps_per_second": 50.44, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 1.3882222222222223e-06, | |
| "loss": 1.0479, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "eval_accuracy": 0.47305389221556887, | |
| "eval_loss": 1.0201445817947388, | |
| "eval_runtime": 12.3672, | |
| "eval_samples_per_second": 405.103, | |
| "eval_steps_per_second": 50.698, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 1.416e-06, | |
| "loss": 1.0482, | |
| "step": 51000 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "eval_accuracy": 0.4678642714570858, | |
| "eval_loss": 1.0167714357376099, | |
| "eval_runtime": 12.5982, | |
| "eval_samples_per_second": 397.677, | |
| "eval_steps_per_second": 49.769, | |
| "step": 51000 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "learning_rate": 1.4437500000000002e-06, | |
| "loss": 1.0406, | |
| "step": 52000 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "eval_accuracy": 0.4722554890219561, | |
| "eval_loss": 1.0175116062164307, | |
| "eval_runtime": 12.6041, | |
| "eval_samples_per_second": 397.49, | |
| "eval_steps_per_second": 49.746, | |
| "step": 52000 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 1.471527777777778e-06, | |
| "loss": 1.0457, | |
| "step": 53000 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "eval_accuracy": 0.4748502994011976, | |
| "eval_loss": 1.010857343673706, | |
| "eval_runtime": 12.3728, | |
| "eval_samples_per_second": 404.921, | |
| "eval_steps_per_second": 50.676, | |
| "step": 53000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 1.4993055555555557e-06, | |
| "loss": 1.0399, | |
| "step": 54000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "eval_accuracy": 0.48522954091816367, | |
| "eval_loss": 1.0106219053268433, | |
| "eval_runtime": 12.3952, | |
| "eval_samples_per_second": 404.188, | |
| "eval_steps_per_second": 50.584, | |
| "step": 54000 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "learning_rate": 1.5270555555555558e-06, | |
| "loss": 1.0412, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "eval_accuracy": 0.4750499001996008, | |
| "eval_loss": 1.0111658573150635, | |
| "eval_runtime": 12.4858, | |
| "eval_samples_per_second": 401.257, | |
| "eval_steps_per_second": 50.217, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 1.5548333333333335e-06, | |
| "loss": 1.0347, | |
| "step": 56000 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "eval_accuracy": 0.47924151696606787, | |
| "eval_loss": 1.0121456384658813, | |
| "eval_runtime": 12.6206, | |
| "eval_samples_per_second": 396.97, | |
| "eval_steps_per_second": 49.681, | |
| "step": 56000 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "learning_rate": 1.5825833333333334e-06, | |
| "loss": 1.0324, | |
| "step": 57000 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "eval_accuracy": 0.4738522954091816, | |
| "eval_loss": 1.0100611448287964, | |
| "eval_runtime": 12.3748, | |
| "eval_samples_per_second": 404.857, | |
| "eval_steps_per_second": 50.668, | |
| "step": 57000 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "learning_rate": 1.6103611111111112e-06, | |
| "loss": 1.0346, | |
| "step": 58000 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "eval_accuracy": 0.4694610778443114, | |
| "eval_loss": 1.0124626159667969, | |
| "eval_runtime": 12.4716, | |
| "eval_samples_per_second": 401.711, | |
| "eval_steps_per_second": 50.274, | |
| "step": 58000 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 1.638111111111111e-06, | |
| "loss": 1.0309, | |
| "step": 59000 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "eval_accuracy": 0.48982035928143713, | |
| "eval_loss": 1.0022122859954834, | |
| "eval_runtime": 12.4734, | |
| "eval_samples_per_second": 401.655, | |
| "eval_steps_per_second": 50.267, | |
| "step": 59000 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "learning_rate": 1.665888888888889e-06, | |
| "loss": 1.0351, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "eval_accuracy": 0.4802395209580838, | |
| "eval_loss": 1.004167914390564, | |
| "eval_runtime": 12.6287, | |
| "eval_samples_per_second": 396.714, | |
| "eval_steps_per_second": 49.649, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "learning_rate": 1.693638888888889e-06, | |
| "loss": 1.0312, | |
| "step": 61000 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "eval_accuracy": 0.48323353293413174, | |
| "eval_loss": 1.0065865516662598, | |
| "eval_runtime": 12.4143, | |
| "eval_samples_per_second": 403.567, | |
| "eval_steps_per_second": 50.506, | |
| "step": 61000 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 1.7214166666666666e-06, | |
| "loss": 1.0329, | |
| "step": 62000 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "eval_accuracy": 0.47924151696606787, | |
| "eval_loss": 1.0041630268096924, | |
| "eval_runtime": 12.4326, | |
| "eval_samples_per_second": 402.974, | |
| "eval_steps_per_second": 50.432, | |
| "step": 62000 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "learning_rate": 1.7491666666666667e-06, | |
| "loss": 1.0355, | |
| "step": 63000 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "eval_accuracy": 0.49261477045908186, | |
| "eval_loss": 1.0007619857788086, | |
| "eval_runtime": 12.4051, | |
| "eval_samples_per_second": 403.866, | |
| "eval_steps_per_second": 50.544, | |
| "step": 63000 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "learning_rate": 1.7769444444444447e-06, | |
| "loss": 1.0297, | |
| "step": 64000 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "eval_accuracy": 0.4942115768463074, | |
| "eval_loss": 0.9986936450004578, | |
| "eval_runtime": 12.5727, | |
| "eval_samples_per_second": 398.482, | |
| "eval_steps_per_second": 49.87, | |
| "step": 64000 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 1.8046944444444446e-06, | |
| "loss": 1.0277, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "eval_accuracy": 0.49121756487025947, | |
| "eval_loss": 1.0008972883224487, | |
| "eval_runtime": 12.4544, | |
| "eval_samples_per_second": 402.267, | |
| "eval_steps_per_second": 50.344, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 1.8324722222222223e-06, | |
| "loss": 1.0341, | |
| "step": 66000 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "eval_accuracy": 0.499001996007984, | |
| "eval_loss": 0.9953575134277344, | |
| "eval_runtime": 12.4973, | |
| "eval_samples_per_second": 400.886, | |
| "eval_steps_per_second": 50.171, | |
| "step": 66000 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 1.8602222222222222e-06, | |
| "loss": 1.0279, | |
| "step": 67000 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "eval_accuracy": 0.493812375249501, | |
| "eval_loss": 0.998134195804596, | |
| "eval_runtime": 12.6589, | |
| "eval_samples_per_second": 395.769, | |
| "eval_steps_per_second": 49.53, | |
| "step": 67000 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 1.8880000000000002e-06, | |
| "loss": 1.03, | |
| "step": 68000 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "eval_accuracy": 0.5051896207584831, | |
| "eval_loss": 0.9947481751441956, | |
| "eval_runtime": 12.7939, | |
| "eval_samples_per_second": 391.594, | |
| "eval_steps_per_second": 49.008, | |
| "step": 68000 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 1.9157500000000003e-06, | |
| "loss": 1.0283, | |
| "step": 69000 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "eval_accuracy": 0.5001996007984032, | |
| "eval_loss": 0.997833251953125, | |
| "eval_runtime": 12.8129, | |
| "eval_samples_per_second": 391.012, | |
| "eval_steps_per_second": 48.935, | |
| "step": 69000 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "learning_rate": 1.943527777777778e-06, | |
| "loss": 1.0288, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "eval_accuracy": 0.49181636726546907, | |
| "eval_loss": 1.00169038772583, | |
| "eval_runtime": 12.5936, | |
| "eval_samples_per_second": 397.822, | |
| "eval_steps_per_second": 49.787, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "learning_rate": 1.9712777777777777e-06, | |
| "loss": 1.0238, | |
| "step": 71000 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "eval_accuracy": 0.4944111776447106, | |
| "eval_loss": 1.001316785812378, | |
| "eval_runtime": 12.485, | |
| "eval_samples_per_second": 401.282, | |
| "eval_steps_per_second": 50.22, | |
| "step": 71000 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 1.9990555555555557e-06, | |
| "loss": 1.0268, | |
| "step": 72000 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "eval_accuracy": 0.49241516966067866, | |
| "eval_loss": 1.0005468130111694, | |
| "eval_runtime": 12.501, | |
| "eval_samples_per_second": 400.768, | |
| "eval_steps_per_second": 50.156, | |
| "step": 72000 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "learning_rate": 2.026805555555556e-06, | |
| "loss": 1.0266, | |
| "step": 73000 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "eval_accuracy": 0.4940119760479042, | |
| "eval_loss": 0.9998964071273804, | |
| "eval_runtime": 12.6227, | |
| "eval_samples_per_second": 396.904, | |
| "eval_steps_per_second": 49.672, | |
| "step": 73000 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "learning_rate": 2.0545833333333335e-06, | |
| "loss": 1.0222, | |
| "step": 74000 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "eval_accuracy": 0.501996007984032, | |
| "eval_loss": 0.9927905201911926, | |
| "eval_runtime": 12.7924, | |
| "eval_samples_per_second": 391.64, | |
| "eval_steps_per_second": 49.014, | |
| "step": 74000 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "learning_rate": 2.0823333333333334e-06, | |
| "loss": 1.0198, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "eval_accuracy": 0.5025948103792415, | |
| "eval_loss": 0.9925487041473389, | |
| "eval_runtime": 12.6297, | |
| "eval_samples_per_second": 396.684, | |
| "eval_steps_per_second": 49.645, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "learning_rate": 2.1101111111111113e-06, | |
| "loss": 1.0203, | |
| "step": 76000 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "eval_accuracy": 0.5027944111776447, | |
| "eval_loss": 0.9909006953239441, | |
| "eval_runtime": 12.4265, | |
| "eval_samples_per_second": 403.17, | |
| "eval_steps_per_second": 50.457, | |
| "step": 76000 | |
| }, | |
| { | |
| "epoch": 3.14, | |
| "learning_rate": 2.137861111111111e-06, | |
| "loss": 1.022, | |
| "step": 77000 | |
| }, | |
| { | |
| "epoch": 3.14, | |
| "eval_accuracy": 0.48303393213572854, | |
| "eval_loss": 1.010209083557129, | |
| "eval_runtime": 12.3999, | |
| "eval_samples_per_second": 404.037, | |
| "eval_steps_per_second": 50.565, | |
| "step": 77000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "learning_rate": 2.1656388888888888e-06, | |
| "loss": 1.0133, | |
| "step": 78000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "eval_accuracy": 0.5075848303393213, | |
| "eval_loss": 0.9907119274139404, | |
| "eval_runtime": 12.4429, | |
| "eval_samples_per_second": 402.64, | |
| "eval_steps_per_second": 50.39, | |
| "step": 78000 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "learning_rate": 2.193388888888889e-06, | |
| "loss": 1.0207, | |
| "step": 79000 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "eval_accuracy": 0.4944111776447106, | |
| "eval_loss": 1.0015305280685425, | |
| "eval_runtime": 12.7143, | |
| "eval_samples_per_second": 394.046, | |
| "eval_steps_per_second": 49.315, | |
| "step": 79000 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "learning_rate": 2.221166666666667e-06, | |
| "loss": 1.0172, | |
| "step": 80000 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "eval_accuracy": 0.49540918163672654, | |
| "eval_loss": 0.9991635680198669, | |
| "eval_runtime": 12.7122, | |
| "eval_samples_per_second": 394.109, | |
| "eval_steps_per_second": 49.323, | |
| "step": 80000 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "learning_rate": 2.248916666666667e-06, | |
| "loss": 1.0185, | |
| "step": 81000 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "eval_accuracy": 0.49001996007984033, | |
| "eval_loss": 1.0026898384094238, | |
| "eval_runtime": 12.6101, | |
| "eval_samples_per_second": 397.299, | |
| "eval_steps_per_second": 49.722, | |
| "step": 81000 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "learning_rate": 2.2766944444444444e-06, | |
| "loss": 1.0287, | |
| "step": 82000 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "eval_accuracy": 0.4998003992015968, | |
| "eval_loss": 0.9921432733535767, | |
| "eval_runtime": 12.4639, | |
| "eval_samples_per_second": 401.961, | |
| "eval_steps_per_second": 50.305, | |
| "step": 82000 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "learning_rate": 2.3044444444444443e-06, | |
| "loss": 1.0142, | |
| "step": 83000 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "eval_accuracy": 0.5017964071856288, | |
| "eval_loss": 0.9938461184501648, | |
| "eval_runtime": 12.4125, | |
| "eval_samples_per_second": 403.625, | |
| "eval_steps_per_second": 50.514, | |
| "step": 83000 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "learning_rate": 2.3322222222222223e-06, | |
| "loss": 1.0186, | |
| "step": 84000 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "eval_accuracy": 0.5089820359281437, | |
| "eval_loss": 0.9863815307617188, | |
| "eval_runtime": 12.6556, | |
| "eval_samples_per_second": 395.872, | |
| "eval_steps_per_second": 49.543, | |
| "step": 84000 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 2.3599722222222226e-06, | |
| "loss": 1.0151, | |
| "step": 85000 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "eval_accuracy": 0.5041916167664671, | |
| "eval_loss": 0.9891662001609802, | |
| "eval_runtime": 12.6529, | |
| "eval_samples_per_second": 395.958, | |
| "eval_steps_per_second": 49.554, | |
| "step": 85000 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 2.38775e-06, | |
| "loss": 1.0268, | |
| "step": 86000 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "eval_accuracy": 0.5043912175648703, | |
| "eval_loss": 0.9857804179191589, | |
| "eval_runtime": 12.4197, | |
| "eval_samples_per_second": 403.391, | |
| "eval_steps_per_second": 50.484, | |
| "step": 86000 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "learning_rate": 2.4155e-06, | |
| "loss": 1.0152, | |
| "step": 87000 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "eval_accuracy": 0.5075848303393213, | |
| "eval_loss": 0.9841725826263428, | |
| "eval_runtime": 12.4152, | |
| "eval_samples_per_second": 403.538, | |
| "eval_steps_per_second": 50.503, | |
| "step": 87000 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "learning_rate": 2.443277777777778e-06, | |
| "loss": 1.0201, | |
| "step": 88000 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "eval_accuracy": 0.5065868263473053, | |
| "eval_loss": 0.9841102957725525, | |
| "eval_runtime": 12.4716, | |
| "eval_samples_per_second": 401.711, | |
| "eval_steps_per_second": 50.274, | |
| "step": 88000 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "learning_rate": 2.471027777777778e-06, | |
| "loss": 1.0113, | |
| "step": 89000 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "eval_accuracy": 0.5079840319361277, | |
| "eval_loss": 0.9851917028427124, | |
| "eval_runtime": 12.6634, | |
| "eval_samples_per_second": 395.627, | |
| "eval_steps_per_second": 49.513, | |
| "step": 89000 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "learning_rate": 2.498805555555556e-06, | |
| "loss": 1.0195, | |
| "step": 90000 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "eval_accuracy": 0.5039920159680639, | |
| "eval_loss": 0.9855921864509583, | |
| "eval_runtime": 12.6226, | |
| "eval_samples_per_second": 396.908, | |
| "eval_steps_per_second": 49.673, | |
| "step": 90000 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "learning_rate": 2.5265555555555557e-06, | |
| "loss": 1.0202, | |
| "step": 91000 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "eval_accuracy": 0.5001996007984032, | |
| "eval_loss": 0.9933446645736694, | |
| "eval_runtime": 12.4993, | |
| "eval_samples_per_second": 400.821, | |
| "eval_steps_per_second": 50.163, | |
| "step": 91000 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 2.5543333333333337e-06, | |
| "loss": 1.0183, | |
| "step": 92000 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "eval_accuracy": 0.5, | |
| "eval_loss": 0.9928790926933289, | |
| "eval_runtime": 12.4539, | |
| "eval_samples_per_second": 402.285, | |
| "eval_steps_per_second": 50.346, | |
| "step": 92000 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "learning_rate": 2.5820833333333335e-06, | |
| "loss": 1.02, | |
| "step": 93000 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "eval_accuracy": 0.5011976047904192, | |
| "eval_loss": 0.9867545962333679, | |
| "eval_runtime": 12.4054, | |
| "eval_samples_per_second": 403.855, | |
| "eval_steps_per_second": 50.542, | |
| "step": 93000 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "learning_rate": 2.609861111111111e-06, | |
| "loss": 1.0144, | |
| "step": 94000 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "eval_accuracy": 0.5027944111776447, | |
| "eval_loss": 0.9887515902519226, | |
| "eval_runtime": 12.8101, | |
| "eval_samples_per_second": 391.097, | |
| "eval_steps_per_second": 48.946, | |
| "step": 94000 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "learning_rate": 2.6376111111111114e-06, | |
| "loss": 1.0166, | |
| "step": 95000 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "eval_accuracy": 0.5077844311377245, | |
| "eval_loss": 0.9852330684661865, | |
| "eval_runtime": 12.6394, | |
| "eval_samples_per_second": 396.379, | |
| "eval_steps_per_second": 49.607, | |
| "step": 95000 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "learning_rate": 2.6653888888888894e-06, | |
| "loss": 1.0173, | |
| "step": 96000 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "eval_accuracy": 0.5053892215568863, | |
| "eval_loss": 0.9848083257675171, | |
| "eval_runtime": 12.5421, | |
| "eval_samples_per_second": 399.456, | |
| "eval_steps_per_second": 49.992, | |
| "step": 96000 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "learning_rate": 2.6931388888888892e-06, | |
| "loss": 1.0159, | |
| "step": 97000 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "eval_accuracy": 0.5051896207584831, | |
| "eval_loss": 0.9930784702301025, | |
| "eval_runtime": 12.6498, | |
| "eval_samples_per_second": 396.054, | |
| "eval_steps_per_second": 49.566, | |
| "step": 97000 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "learning_rate": 2.7209166666666668e-06, | |
| "loss": 1.0126, | |
| "step": 98000 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "eval_accuracy": 0.5037924151696607, | |
| "eval_loss": 0.9865526556968689, | |
| "eval_runtime": 12.4969, | |
| "eval_samples_per_second": 400.899, | |
| "eval_steps_per_second": 50.172, | |
| "step": 98000 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "learning_rate": 2.7486666666666666e-06, | |
| "loss": 1.0129, | |
| "step": 99000 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "eval_accuracy": 0.5073852295409181, | |
| "eval_loss": 0.9890230298042297, | |
| "eval_runtime": 12.7759, | |
| "eval_samples_per_second": 392.143, | |
| "eval_steps_per_second": 49.077, | |
| "step": 99000 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "learning_rate": 2.7764444444444446e-06, | |
| "loss": 1.0145, | |
| "step": 100000 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "eval_accuracy": 0.506187624750499, | |
| "eval_loss": 0.9834555387496948, | |
| "eval_runtime": 12.6734, | |
| "eval_samples_per_second": 395.316, | |
| "eval_steps_per_second": 49.474, | |
| "step": 100000 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "learning_rate": 2.804194444444445e-06, | |
| "loss": 1.0164, | |
| "step": 101000 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "eval_accuracy": 0.5081836327345309, | |
| "eval_loss": 0.9881391525268555, | |
| "eval_runtime": 12.4161, | |
| "eval_samples_per_second": 403.509, | |
| "eval_steps_per_second": 50.499, | |
| "step": 101000 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "learning_rate": 2.8319722222222225e-06, | |
| "loss": 1.0131, | |
| "step": 102000 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "eval_accuracy": 0.5007984031936128, | |
| "eval_loss": 0.9866752624511719, | |
| "eval_runtime": 12.6211, | |
| "eval_samples_per_second": 396.953, | |
| "eval_steps_per_second": 49.679, | |
| "step": 102000 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "learning_rate": 2.8597222222222223e-06, | |
| "loss": 1.0172, | |
| "step": 103000 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "eval_accuracy": 0.5117764471057884, | |
| "eval_loss": 0.9857889413833618, | |
| "eval_runtime": 12.4246, | |
| "eval_samples_per_second": 403.233, | |
| "eval_steps_per_second": 50.464, | |
| "step": 103000 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "learning_rate": 2.8875000000000003e-06, | |
| "loss": 1.0118, | |
| "step": 104000 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "eval_accuracy": 0.501996007984032, | |
| "eval_loss": 0.9917896389961243, | |
| "eval_runtime": 12.7707, | |
| "eval_samples_per_second": 392.304, | |
| "eval_steps_per_second": 49.097, | |
| "step": 104000 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "learning_rate": 2.91525e-06, | |
| "loss": 1.0082, | |
| "step": 105000 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "eval_accuracy": 0.4940119760479042, | |
| "eval_loss": 1.0039118528366089, | |
| "eval_runtime": 12.7128, | |
| "eval_samples_per_second": 394.092, | |
| "eval_steps_per_second": 49.32, | |
| "step": 105000 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 2.9430277777777777e-06, | |
| "loss": 1.006, | |
| "step": 106000 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "eval_accuracy": 0.5023952095808383, | |
| "eval_loss": 0.9883149862289429, | |
| "eval_runtime": 12.7217, | |
| "eval_samples_per_second": 393.814, | |
| "eval_steps_per_second": 49.286, | |
| "step": 106000 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "learning_rate": 2.970777777777778e-06, | |
| "loss": 1.008, | |
| "step": 107000 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "eval_accuracy": 0.5023952095808383, | |
| "eval_loss": 0.9926295876502991, | |
| "eval_runtime": 12.4187, | |
| "eval_samples_per_second": 403.424, | |
| "eval_steps_per_second": 50.488, | |
| "step": 107000 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "learning_rate": 2.998555555555556e-06, | |
| "loss": 1.0078, | |
| "step": 108000 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "eval_accuracy": 0.5069860279441117, | |
| "eval_loss": 0.9883684515953064, | |
| "eval_runtime": 12.4562, | |
| "eval_samples_per_second": 402.21, | |
| "eval_steps_per_second": 50.336, | |
| "step": 108000 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 3.026305555555556e-06, | |
| "loss": 1.0052, | |
| "step": 109000 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "eval_accuracy": 0.5083832335329341, | |
| "eval_loss": 0.9893190264701843, | |
| "eval_runtime": 12.4193, | |
| "eval_samples_per_second": 403.404, | |
| "eval_steps_per_second": 50.486, | |
| "step": 109000 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "learning_rate": 3.0540833333333334e-06, | |
| "loss": 1.0102, | |
| "step": 110000 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "eval_accuracy": 0.5059880239520959, | |
| "eval_loss": 0.9876956939697266, | |
| "eval_runtime": 12.7204, | |
| "eval_samples_per_second": 393.854, | |
| "eval_steps_per_second": 49.291, | |
| "step": 110000 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "learning_rate": 3.0818333333333333e-06, | |
| "loss": 1.004, | |
| "step": 111000 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "eval_accuracy": 0.5099800399201597, | |
| "eval_loss": 0.9822403788566589, | |
| "eval_runtime": 12.7671, | |
| "eval_samples_per_second": 392.416, | |
| "eval_steps_per_second": 49.111, | |
| "step": 111000 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "learning_rate": 3.1096111111111113e-06, | |
| "loss": 1.016, | |
| "step": 112000 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "eval_accuracy": 0.5075848303393213, | |
| "eval_loss": 0.9813176393508911, | |
| "eval_runtime": 12.5425, | |
| "eval_samples_per_second": 399.442, | |
| "eval_steps_per_second": 49.99, | |
| "step": 112000 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "learning_rate": 3.137361111111111e-06, | |
| "loss": 1.0024, | |
| "step": 113000 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "eval_accuracy": 0.5, | |
| "eval_loss": 0.9851263165473938, | |
| "eval_runtime": 12.718, | |
| "eval_samples_per_second": 393.931, | |
| "eval_steps_per_second": 49.3, | |
| "step": 113000 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "learning_rate": 3.165138888888889e-06, | |
| "loss": 1.0096, | |
| "step": 114000 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "eval_accuracy": 0.5101796407185629, | |
| "eval_loss": 0.9791144132614136, | |
| "eval_runtime": 12.4876, | |
| "eval_samples_per_second": 401.199, | |
| "eval_steps_per_second": 50.21, | |
| "step": 114000 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 3.192888888888889e-06, | |
| "loss": 1.0111, | |
| "step": 115000 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "eval_accuracy": 0.5131736526946108, | |
| "eval_loss": 0.9794335961341858, | |
| "eval_runtime": 12.6803, | |
| "eval_samples_per_second": 395.101, | |
| "eval_steps_per_second": 49.447, | |
| "step": 115000 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "learning_rate": 3.220666666666667e-06, | |
| "loss": 1.005, | |
| "step": 116000 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "eval_accuracy": 0.506187624750499, | |
| "eval_loss": 0.9822920560836792, | |
| "eval_runtime": 12.7349, | |
| "eval_samples_per_second": 393.408, | |
| "eval_steps_per_second": 49.235, | |
| "step": 116000 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 3.248416666666667e-06, | |
| "loss": 1.0116, | |
| "step": 117000 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "eval_accuracy": 0.5073852295409181, | |
| "eval_loss": 0.9905573725700378, | |
| "eval_runtime": 12.5859, | |
| "eval_samples_per_second": 398.064, | |
| "eval_steps_per_second": 49.818, | |
| "step": 117000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 4.076727157496218e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |